Merge pull request 'feat(phase2): 完成第二阶段评测、函数图与多格式导出' (#44) from feat/phase2-completion into main

Reviewed-on: #44

README.md

@@ -1,5 +1,7 @@
 # Notes Agent（暂命名） 团队开发说明
 
+> 第二阶段收尾（开发分支，2026-09-07）：标准 Agent/RAG Benchmark 与报告页、函数图预览、三格式快照导出及真实 Provider/MCP 结果见[实现与验收记录](docs/development/第二阶段收尾实现与验收-2026-09-07.md)。当前分支尚未合并，不更改下文历史 main 基线。
+
 > 本文件用于团队开发期间快速配置环境、启动项目并了解当前实现状态，不是正式的项目 README。
 
 NotesAgent 是本地优先的 AI 笔记与知识库项目。当前可运行形态为 Vue/Vite Web 前端与 FastAPI AI Core：Markdown 和附件保存在本地 Vault，SQLite 管理元数据、全文索引、向量空间、搜索历史、AI 会话、任务、Agent Trace、多模态任务及运行诊断。AI 对话已接入知识库检索，会话与消息由后端持久化并供 Web 和桌面客户端共用。

backend/README.md

@@ -1,5 +1,7 @@
 # NotesAgent Backend
 
+> 第二阶段收尾：标准 Agent/RAG Benchmark 与报告页、函数图预览、三格式快照导出及真实 Provider/MCP 结果见[实现与验收记录](../docs/development/第二阶段收尾实现与验收-2026-09-07.md)。当前分支尚未合并，不更改下文历史 main 基线。
+
 NotesAgent Backend 是基于 Python 3.11+、FastAPI、Pydantic v2 和 SQLite 的本地 AI Core / Agent Core，使用 uv 管理 API 依赖和虚拟环境。
 
 当前实现包含 Knowledge/Retrieval、Chat、Agent、Tool/Permission、Skill/Plugin、MCP、模型提供商、RAG Benchmark、多模态任务、本地模型调度、Token/音频用量和运行诊断。数据持久化位于后端 SQLite 与 Vault；Tauri Sidecar 生命周期、Stronghold 和操作系统级 Plugin 沙箱属于后续桌面阶段。

backend/app/agent/markdown_tools.py

@@ -6,7 +6,7 @@ from pydantic import BaseModel, ConfigDict, Field
 from app.contracts import ToolDefinition
 from app.services import note_service
 
-Format = Literal['heading', 'paragraph', 'bold', 'italic', 'strikethrough', 'inline-code', 'bullet-list', 'ordered-list', 'task-list', 'blockquote', 'callout', 'code-block', 'mermaid', 'inline-math', 'math-block', 'link', 'image', 'table', 'horizontal-rule', 'hard-break', 'reference-link', 'html', 'metadata']
+Format = Literal['heading', 'paragraph', 'bold', 'italic', 'strikethrough', 'inline-code', 'bullet-list', 'ordered-list', 'task-list', 'blockquote', 'callout', 'code-block', 'mermaid', 'function-plot', 'inline-math', 'math-block', 'link', 'image', 'table', 'horizontal-rule', 'hard-break', 'reference-link', 'html', 'metadata']
 CALLOUTS = ['note', 'abstract', 'summary', 'tldr', 'info', 'todo', 'tip', 'hint', 'important', 'success', 'check', 'done', 'question', 'help', 'faq', 'warning', 'caution', 'attention', 'failure', 'fail', 'missing', 'danger', 'error', 'bug', 'example', 'quote', 'cite']
 
 
@@ -56,7 +56,7 @@ def compose(arguments: ComposeArguments, _):
     elif kind == 'inline-code':
         marker = '`' * (max([0, *(len(m[0]) for m in re.finditer(r'`+', text))]) + 1)
         result = marker + ' ' + text.replace('\n', ' ') + ' ' + marker
-    elif kind in ('code-block', 'mermaid'): result = fenced(text, 'mermaid' if kind == 'mermaid' else a.language)
+    elif kind in ('code-block', 'mermaid', 'function-plot'): result = fenced(text, kind if kind != 'code-block' else a.language)
     elif kind in ('bullet-list', 'ordered-list', 'task-list'):
         result = '\n'.join((f'{i + 1}. ' if kind == 'ordered-list' else '- [ ] ' if kind == 'task-list' else '- ') + item.replace('\n', '\n    ') for i, item in enumerate(a.items))
     elif kind == 'blockquote': result = '\n'.join('> ' + line for line in text.split('\n'))
@@ -90,7 +90,8 @@ def catalog(_, __):
     from typing import get_args
     return {'formats': list(get_args(Format)), 'callouts': CALLOUTS,
             'workflow': 'Use markdown.compose, then notes.create or notes.patch_markdown to persist. Read notes.read.content_hash before patching. metadata composition replaces the frontmatter only when you explicitly patch it; do not prepend duplicate frontmatter.',
-            'rendering': 'Math, Mermaid, callouts and auto-links depend on editor preferences. HTML is sanitized; scripts are not supported. Heading folding, font size, undo and redo are UI state, not Markdown document syntax. Callout collapsed=null is static, true is folded, false is expanded.'}
+            'function_plot': 'Use a function-plot fenced block: domain: -4, 4 followed by y = x^2 and y = sin(x). At most 16 expressions per block, 16 plots and 8000 total AST nodes per exported document. No arbitrary code execution.',
+            'rendering': 'Function plots, Math, Mermaid, callouts and auto-links depend on editor preferences. HTML is sanitized; scripts are not supported. Heading folding, font size, undo and redo are UI state, not Markdown document syntax. Callout collapsed=null is static, true is folded, false is expanded.'}
 
 
 async def patch(arguments: PatchArguments, _):

backend/app/benchmarks/agent.py

@@ -0,0 +1,153 @@
+"""通过真实 AgentRuntime 执行标准任务评测，不使用脚本化替代运行器。"""
+import asyncio
+from time import perf_counter
+from uuid import uuid4
+from app.contracts import (AgentBenchmarkRequest, AgentCaseResult, AgentRunCreateRequest,
+    BenchmarkRun, BenchmarkReport, BenchmarkKind, BenchmarkStatus, BenchmarkEvent, BenchmarkEventType)
+from app.benchmarks import datasets, service
+from app.errors import ApiError
+
+INVALID = {'TOOL_NOT_FOUND', 'TOOL_NOT_ALLOWED', 'TOOL_ARGUMENT_INVALID', 'TOOL_VALIDATION_ERROR'}
+
+def score(case, run, events, latency, repeat):
+    """按工具选择、参数、结果、输出和引用要求评定单个样本。"""
+    calls = [e.data for e in events if e.event.value == 'ToolCall']
+    # 使用最大二分匹配，避免宽松的参数子集占用唯一能满足更严格预期的调用；
+    # 每个实际调用最多匹配一个预期调用。
+    matched = {}
+    def assign(expected_index, visited):
+        expected = case.expected_tools[expected_index]
+        for call_index, call in enumerate(calls):
+            if call_index in visited or call.get('name') != expected.name:
+                continue
+            arguments = call.get('arguments', {})
+            if not all(key in arguments and arguments[key] == value for key, value in expected.arguments.items()):
+                continue
+            visited.add(call_index)
+            if call_index not in matched or assign(matched[call_index], visited):
+                matched[call_index] = expected_index
+                return True
+        return False
+    accurate = sum(assign(index, set()) for index in range(len(case.expected_tools)))
+    from collections import Counter
+    actual_names = Counter(call.get('name') for call in calls)
+    expected_names = Counter(tool.name for tool in case.expected_tools)
+    selected = sum(min(count, actual_names[name]) for name, count in expected_names.items())
+    results = run.tool_results
+    checks = {
+        'completed': run.status.value == 'completed',
+        'tools_selected': selected == len(case.expected_tools),
+        'tool_arguments': accurate == len(case.expected_tools),
+        'no_extra_calls': len(calls) <= len(case.expected_tools),
+        'tool_results': all(r.success for r in results),
+        'output': all(text.casefold() in (run.output or '').casefold() for text in case.output_contains),
+        'citation': not case.citation_required or bool(run.citations),
+        'tasks_created': case.tasks_created is None or sum(r.success and r.name == 'tasks.create' for r in results) == case.tasks_created,
+    }
+    return AgentCaseResult(case_id=case.case_id, repeat=repeat, agent_run_id=run.run_id,
+        success=all(checks.values()), tool_calls=len(calls), expected_calls=len(case.expected_tools),
+        selected_calls=selected, accurate_calls=accurate, invalid_calls=sum(r.error_code in INVALID for r in results),
+        steps=run.current_step, latency_ms=latency, token_usage=run.token_usage, checks=checks, error_code=run.error_code)
+
+def aggregate(cases, planned_total=None):
+    """汇总已执行样本，并让取消后的未执行样本继续计入计划总数。"""
+    total = len(cases) if planned_total is None else planned_total
+    calls = sum(c.tool_calls for c in cases)
+    expected = sum(c.expected_calls for c in cases)
+    # 微平均同时惩罚遗漏和多余调用；完全没有调用要求时准确率记为不适用。
+    denominator = max(calls, expected)
+    return {'total_cases': total, 'evaluated_cases': len(cases), 'task_success_rate': sum(c.success for c in cases)/total if total else 0,
+        'tool_selection_accuracy': sum(c.selected_calls for c in cases)/denominator if denominator else None,
+        'tool_argument_accuracy': sum(c.accurate_calls for c in cases)/denominator if denominator else None,
+        'invalid_tool_call_rate': sum(c.invalid_calls for c in cases)/calls if calls else None,
+        'average_steps': sum(c.steps for c in cases)/total if total else 0,
+        'average_latency_ms': sum(c.latency_ms for c in cases)/total if total else 0,
+        'token_usage': sum(c.token_usage for c in cases), 'tool_calls': calls, 'expected_calls': expected}
+
+async def create_run(request: AgentBenchmarkRequest):
+    """冻结数据集与运行配置，并把评测交给后台真实 Agent Runtime。"""
+    from app.container import container
+    from app.providers.registry import ProviderNotFoundError
+    try:
+        provider = container.providers.get(request.provider_id)
+    except ProviderNotFoundError as exc:
+        raise ApiError(404, 'PROVIDER_NOT_FOUND', 'Provider not found or disabled.') from exc
+    is_mock = provider.config.provider_type.value == 'mock'
+    if request.offline and not is_mock:
+        raise ApiError(422, 'BENCHMARK_OFFLINE_PROVIDER_REQUIRED', 'Offline regression only accepts a mock provider.')
+    if is_mock and not request.offline:
+        raise ApiError(422, 'BENCHMARK_REAL_PROVIDER_REQUIRED', 'Select a real provider or explicitly mark offline regression.')
+    dataset = datasets.load_dataset(request.dataset_id, BenchmarkKind.agent)
+    if not service._evict_terminal():
+        raise ApiError(429, 'BENCHMARK_CAPACITY_EXCEEDED', 'Benchmark capacity exceeded.')
+    run_id = 'benchmark_' + uuid4().hex[:12]
+    snapshot = {**request.model_dump(), 'dataset_hash': dataset.content_hash,
+        'dataset_version': dataset.version, 'execution': 'offline' if request.offline else 'real_agent_runtime',
+        'provider_type': provider.config.provider_type, 'scoring_version': '1.0', 'permission_policy': 'runtime_user_decision'}
+    run = BenchmarkRun(run_id=run_id, kind=BenchmarkKind.agent, dataset_id=dataset.dataset_id,
+        dataset_hash=dataset.content_hash, status=BenchmarkStatus.queued, created_at=service._now(), config_snapshot=snapshot)
+    service._runs[run_id] = run
+    service._events[run_id] = []
+    service._subscribers[run_id] = []
+    service._cancel_flags[run_id] = asyncio.Event()
+    service._tasks[run_id] = asyncio.create_task(execute(run_id, request, dataset, container.agent))
+    return run
+
+async def execute(run_id, request, dataset, runtime):
+    """顺序执行样本，传播取消信号，并持续发布可订阅的运行事件。"""
+    flag = service._cancel_flags[run_id]
+    results = []; active = None
+    def emit(kind, data):
+        event = BenchmarkEvent(event=kind, run_id=run_id, sequence=len(service._events[run_id]), data=data, timestamp=service._now())
+        service._events[run_id].append(event)
+        for queue in service._subscribers.get(run_id, []): queue.put_nowait(event)
+    status = BenchmarkStatus.completed
+    error = None
+    try:
+        service._runs[run_id] = service._runs[run_id].model_copy(update={'status': BenchmarkStatus.running, 'started_at': service._now()})
+        emit(BenchmarkEventType.run_started, {'dataset_id': dataset.dataset_id})
+        for case in dataset.cases:
+            for repeat in range(request.repeat):
+                if flag.is_set():
+                    status = BenchmarkStatus.cancelled; break
+                started = perf_counter()
+                active = await runtime.create_run(AgentRunCreateRequest(input=case.prompt, provider_id=request.provider_id,
+                    model=request.model, allowed_tools=case.allowed_tools, max_steps=request.max_steps,
+                    token_budget=request.token_budget, run_timeout_seconds=request.timeout_seconds,
+                    tool_timeout_seconds=min(30, request.timeout_seconds), allow_network=request.allow_network,
+                    metadata={'benchmark_run_id': run_id, 'case_id': case.case_id}))
+                # 样本仍在运行时就暴露真实 Trace 与权限入口，便于界面处理待决授权。
+                service._runs[run_id].config_snapshot['active_agent_run_id'] = active.run_id
+                wait = asyncio.create_task(runtime.wait(active.run_id))
+                cancel = asyncio.create_task(flag.wait())
+                try:
+                    done, _ = await asyncio.wait([wait, cancel], return_when=asyncio.FIRST_COMPLETED)
+                    if cancel in done:
+                        await runtime.cancel(active.run_id)
+                        status = BenchmarkStatus.cancelled
+                    finished = await wait
+                finally:
+                    cancel.cancel(); await asyncio.gather(cancel, return_exceptions=True)
+                events = [event async for event in runtime.events(active.run_id)]
+                result = score(case, finished, events, (perf_counter()-started)*1000, repeat)
+                results.append(result); active = None
+                service._runs[run_id].progress = len(results)/(len(dataset.cases)*request.repeat)
+                emit(BenchmarkEventType.case_completed, result.model_dump(mode='json'))
+            if status == BenchmarkStatus.cancelled: break
+    except asyncio.CancelledError:
+        status = BenchmarkStatus.cancelled
+    except Exception:
+        status = BenchmarkStatus.failed; error = 'BENCHMARK_RUN_FAILED'
+    finally:
+        if active:
+            await runtime.cancel(active.run_id)
+            await runtime.wait(active.run_id)
+        metrics = aggregate(results, len(dataset.cases)*request.repeat)
+        run = service._runs[run_id]
+        service._runs[run_id] = run.model_copy(update={'status':status, 'metrics':metrics, 'completed_at':service._now(), 'error_code':error})
+        service._reports[run_id] = BenchmarkReport(run_id=run_id, kind=BenchmarkKind.agent,
+            dataset_id=dataset.dataset_id, dataset_hash=dataset.content_hash, status=status,
+            config_snapshot=run.config_snapshot, cases=results, metrics=metrics, error_code=error)
+        emit({BenchmarkStatus.completed: BenchmarkEventType.run_completed, BenchmarkStatus.failed: BenchmarkEventType.run_failed,
+            BenchmarkStatus.cancelled: BenchmarkEventType.run_cancelled}[status], {'metrics':metrics, 'error_code':error})
+        service._cancel_flags.pop(run_id, None); service._subscribers.pop(run_id, None)

backend/app/benchmarks/datasets.py

@@ -17,20 +17,20 @@ from app.config import get_settings
 from app.contracts import (
     BenchmarkDatasetInfo,
     BenchmarkKind,
-    RAGDatasetCase,
+    RAGDatasetCase, AgentDatasetCase,
 )
 from app.errors import ApiError
 
 
 @dataclass
 class RAGDataset:
-    """内存中的 RAG 数据集：元信息 + 已校验的 Case 列表 + 内容哈希。"""
+    """内存中的 RAG / Agent 数据集：元信息 + 已校验的 Case 列表 + 内容哈希。"""
 
     dataset_id: str
     kind: BenchmarkKind
     version: str
     description: str
-    cases: list[RAGDatasetCase] = field(default_factory=list)
+    cases: list[RAGDatasetCase | AgentDatasetCase] = field(default_factory=list)
     content_hash: str = ""
 
 
@@ -104,10 +104,10 @@ def _dataset_from_raw(raw: dict, raw_bytes: bytes, kind: BenchmarkKind) -> RAGDa
             {"dataset_id": dataset_id},
         )
 
-    cases: list[RAGDatasetCase] = []
+    cases: list[RAGDatasetCase | AgentDatasetCase] = []
     for index, case in enumerate(raw_cases):
         try:
-            parsed = RAGDatasetCase.model_validate(case)
+            parsed = (AgentDatasetCase if kind == BenchmarkKind.agent else RAGDatasetCase).model_validate(case)
         except ValidationError as exc:
             raise ApiError(
                 422,
@@ -115,6 +115,13 @@ def _dataset_from_raw(raw: dict, raw_bytes: bytes, kind: BenchmarkKind) -> RAGDa
                 f"Dataset case #{index} is invalid.",
                 {"dataset_id": dataset_id, "case_index": index, "errors": exc.errors()},
             ) from exc
+        if kind == BenchmarkKind.agent:
+            if not (parsed.expected_tools or parsed.output_contains or parsed.citation_required or parsed.tasks_created is not None):
+                raise ApiError(422, 'BENCHMARK_DATASET_INVALID', 'Agent case requires objective expectations.')
+            if any(tool.name not in parsed.allowed_tools for tool in parsed.expected_tools):
+                raise ApiError(422, 'BENCHMARK_DATASET_INVALID', 'Expected tools must be allowed.')
+            cases.append(parsed)
+            continue
         # 每个 Case 至少要声明一个期望 id，否则无法计算命中/召回
         if not parsed.expected_note_ids and not parsed.expected_block_ids:
             raise ApiError(
@@ -133,6 +140,8 @@ def _dataset_from_raw(raw: dict, raw_bytes: bytes, kind: BenchmarkKind) -> RAGDa
             )
         cases.append(parsed)
 
+    if len(cases) > 100 or len({c.case_id for c in cases}) != len(cases):
+        raise ApiError(422, 'BENCHMARK_DATASET_INVALID', 'Dataset case IDs must be unique; maximum 100 cases.')
     return RAGDataset(
         dataset_id=dataset_id,
         kind=kind,

backend/app/benchmarks/rag.py

@@ -86,6 +86,7 @@ async def _evaluate_one(
         limit=request.retrieval.top_k,
         include_snippet=False,
         rrf_k=request.retrieval.rrf_k,
+        fusion=request.retrieval.fusion,
         rerank=request.retrieval.rerank,
         rerank_candidates=request.retrieval.rerank_candidates,
         score_threshold=request.retrieval.score_threshold,

backend/app/benchmarks/service.py

@@ -352,3 +352,12 @@ async def wait_for_run(run_id: str) -> BenchmarkRun:
     if task is not None:
         await task
     return _runs.get(run_id)
+
+
+async def shutdown():
+    loop = asyncio.get_running_loop()
+    active = {rid: task for rid, task in _tasks.items() if not task.done() and task.get_loop() is loop}
+    for rid in active:
+        flag = _cancel_flags.get(rid)
+        if flag: flag.set()
+    await asyncio.gather(*active.values(), return_exceptions=True)

backend/app/contracts.py

@@ -155,6 +155,7 @@ class SearchRequest(Contract):
     include_snippet: bool = True
     # 检索调优参数（Benchmark 与 Skill 共用）：控制 RRF / 精排 / 候选池 / 分数阈值。
     # rerank_candidates=None 表示对全部候选精排（保留原有行为），Benchmark 传显式值。
+    fusion: Literal['rrf', 'weighted'] = 'rrf'
     rrf_k: int = Field(default=60, ge=1)
     rerank: bool = True
     rerank_candidates: int | None = Field(default=None, ge=1)
@@ -1221,6 +1222,7 @@ class RAGRetrievalConfig(Contract):
     其余参数透传到 SearchRequest，由检索引擎实际执行。"""
 
     top_k: int = Field(default=10, ge=1, le=100)
+    fusion: Literal['rrf', 'weighted'] = 'rrf'
     rrf_k: int = Field(default=60, ge=1)
     rerank: bool = True
     rerank_candidates: int = Field(default=20, ge=1)
@@ -1329,6 +1331,51 @@ class RAGCaseResult(Contract):
     error_code: str | None = None
 
 
+class ExpectedToolCall(Contract):
+    name: str = Field(min_length=1)
+    arguments: dict[str, Any] = Field(default_factory=dict)
+
+
+class AgentDatasetCase(Contract):
+    case_id: str = Field(min_length=1)
+    prompt: str = Field(min_length=1, max_length=20000)
+    allowed_tools: list[str] = Field(default_factory=list, max_length=30)
+    expected_tools: list[ExpectedToolCall] = Field(default_factory=list, max_length=30)
+    output_contains: list[str] = Field(default_factory=list)
+    citation_required: bool = False
+    tasks_created: int | None = Field(default=None, ge=0, le=20)
+    tags: list[str] = Field(default_factory=list)
+
+
+class AgentBenchmarkRequest(Contract):
+    dataset_id: str = Field(min_length=1)
+    provider_id: str
+    model: str = Field(min_length=1)
+    max_steps: int = Field(default=6, ge=1, le=20)
+    timeout_seconds: int = Field(default=90, ge=1, le=300)
+    token_budget: int = Field(default=6000, ge=1, le=30000)
+    repeat: int = Field(default=1, ge=1, le=3)
+    allow_network: bool = False
+    offline: bool = False
+
+
+class AgentCaseResult(Contract):
+    case_id: str
+    repeat: int
+    agent_run_id: str | None = None
+    success: bool = False
+    tool_calls: int = 0
+    expected_calls: int = 0
+    selected_calls: int = 0
+    accurate_calls: int = 0
+    invalid_calls: int = 0
+    steps: int = 0
+    latency_ms: float = 0
+    token_usage: int = 0
+    checks: dict[str, bool] = Field(default_factory=dict)
+    error_code: str | None = None
+
+
 class BenchmarkReport(Contract):
     run_id: str
     kind: BenchmarkKind
@@ -1337,7 +1384,7 @@ class BenchmarkReport(Contract):
     status: BenchmarkStatus
     config_snapshot: dict[str, Any] = Field(default_factory=dict)
     metrics: dict[str, Any] = Field(default_factory=dict)
-    cases: list[RAGCaseResult] = Field(default_factory=list)
+    cases: list[RAGCaseResult | AgentCaseResult] = Field(default_factory=list)
     error: str | None = None
     error_code: str | None = None
 
@@ -1366,6 +1413,7 @@ class ExportSource(Contract):
     """导出源：note 引用已索引笔记，markdown 用于未保存预览（不持久化）。"""
 
     type: ExportSourceType
+    file_path: str | None = Field(default=None, max_length=1024)
     note_id: str | None = None
     markdown: str | None = None
 
@@ -1378,7 +1426,18 @@ class ExportSource(Contract):
         return self
 
 
+class ExportPalette(Contract):
+    page: str = Field(pattern=r'^#[0-9a-fA-F]{6}$')
+    surface: str = Field(pattern=r'^#[0-9a-fA-F]{6}$')
+    text: str = Field(pattern=r'^#[0-9a-fA-F]{6}$')
+    muted: str = Field(pattern=r'^#[0-9a-fA-F]{6}$')
+    code: str = Field(pattern=r'^#[0-9a-fA-F]{6}$')
+    border: str = Field(pattern=r'^#[0-9a-fA-F]{6}$')
+    accent: str = Field(pattern=r'^#[0-9a-fA-F]{6}$')
+
+
 class ExportOptions(Contract):
+    palette: ExportPalette | None = None
     theme_id: str = "light"
     include_title: bool = True
     include_metadata: bool = False
@@ -1386,11 +1445,29 @@ class ExportOptions(Contract):
     code_theme: str = "github-light"
 
 
+class ExportAsset(Contract):
+    kind: Literal['mermaid', 'math_block', 'math_inline', 'image']
+    source_hash: str = Field(pattern=r'^[a-f0-9]{64}$')
+    png_base64: str
+
+
 class ExportRequest(Contract):
+    print_html: str | None = None
+    assets: list[ExportAsset] = Field(default_factory=list)
+    title: str = Field(default="", max_length=200)
     source: ExportSource
     format: ExportFormat
     options: ExportOptions = Field(default_factory=ExportOptions)
 
+    @model_validator(mode="after")
+    def _asset_limits(self) -> "ExportRequest":
+        if self.print_html is not None and self.format != ExportFormat.pdf:
+            raise ValueError("print_html is only supported for PDF")
+        if self.format != ExportFormat.pdf:
+            if len(self.assets) > 64 or any(len(asset.png_base64) > 2800000 for asset in self.assets):
+                raise ValueError("export asset count or size limit exceeded")
+        return self
+
 
 class ExportProgress(Contract):
     phase: str

backend/app/export/assets.py

@@ -0,0 +1,145 @@
+"""处理栅格资源；PDF 不受导出配额限制，但仍执行路径和格式校验。"""
+import base64
+import hashlib
+import threading
+from io import BytesIO
+from PIL import Image
+from app.errors import ApiError
+
+_math_lock = threading.Lock()
+
+def enrich_document(document, file_path=None, unlimited=False, options=None, preserve_alpha=False):
+    """内嵌 Vault 图片和 MathText，并按导出格式应用配额与主题配色。"""
+    from app.config import get_settings
+    from urllib.parse import unquote, urlsplit
+    vault = get_settings().vault_path.resolve()
+    base = (vault / (file_path or '')).parent if file_path else vault
+    from app.export.themes import pdf_palette
+    palette = pdf_palette(options, []) if unlimited and options else None
+    warnings = []
+    count = total = pixels = 0
+    def visit(node):
+        nonlocal count, total, pixels
+        if node.type in {'image','math_block','math_inline'} or node.attributes.get('static_png'):
+            count += 1
+            try:
+                if not unlimited and count > 64: raise ValueError('resource count')
+                if node.attributes.get('static_png'):
+                    raw = node.attributes['static_png']
+                elif node.type == 'image':
+                    src = str(node.attributes.get('src',''))
+                    if urlsplit(src).scheme or src.startswith('//'): raise ValueError('remote image')
+                    path = (base / unquote(src)).resolve()
+                    if not path.is_relative_to(vault) or path.suffix.lower() not in {'.png','.jpg','.jpeg','.webp'} or (not unlimited and path.stat().st_size > 2_000_000):
+                        raise ValueError('image path or budget')
+                    raw = path.read_bytes()
+                else:
+                    source = node.text
+                    depth = 0
+                    for char in source:
+                        depth += (char == '{') - (char == '}')
+                        if not unlimited and depth > 20: raise ValueError('math depth')
+                    if (not unlimited and len(source) > 512) or depth != 0: raise ValueError('math budget')
+                    from matplotlib.mathtext import math_to_image
+                    from matplotlib import rc_context
+                    with _math_lock, rc_context({'savefig.transparent': bool(palette)}):
+                        out = BytesIO()
+                        math_to_image('$'+source+'$', out, dpi=180, format='png', color=palette['text'] if palette else 'black')
+                        raw = out.getvalue()
+                with Image.open(BytesIO(raw)) as image:
+                    pixels += image.width * image.height
+                    if not unlimited and pixels > 16_000_000: raise ValueError('document pixels')
+                    if not unlimited and image.width * image.height > 4_000_000: raise ValueError('image dimensions')
+                    out = BytesIO()
+                    # 透明像素按 PDF 主题表面色合成；打印 HTML 与 Word 使用白色底色。
+                    rgba=image.convert('RGBA'); background=Image.new('RGBA',rgba.size,palette['surface'] if palette else 'white')
+                    background.alpha_composite(rgba); (rgba if preserve_alpha else background.convert('RGB')).save(out,'PNG')
+                    png=out.getvalue();total += len(png)
+                    if not unlimited and total > 8_000_000: raise ValueError('resource bytes')
+                    node.attributes['static_png']=png
+            except Exception:
+                node.attributes.pop('static_png', None)
+                warnings.append('图片无法内嵌（仅支持 Vault 内 PNG/JPEG/WebP），已保留替代文字' if node.type=='image'
+                    else '公式超出 MathText 语法或资源预算，已保留源码' if node.type.startswith('math')
+                    else '静态图表超过文档资源预算，已保留源码')
+        for child in node.children: visit(child)
+    for child in document.children: visit(child)
+    return warnings
+
+def source_hash(source):
+    return hashlib.sha256(source.strip().encode()).hexdigest()
+
+def validate_assets(assets, unlimited=False):
+    """校验前端静态资源并解码为 PNG；PDF 仅解除容量限制，不放宽格式要求。"""
+    result = {}
+    total = pixels = 0
+    for asset in assets:
+        try:
+            raw = base64.b64decode(asset.png_base64, validate=True)
+            total += len(raw)
+            if not unlimited and total > 8 * 1024 * 1024:
+                raise ValueError('asset budget')
+            with Image.open(BytesIO(raw)) as image:
+                pixels += image.width * image.height
+                if not unlimited and pixels > 16_000_000: raise ValueError('document pixel budget')
+                if image.format != 'PNG' or (not unlimited and image.width * image.height > 4_000_000):
+                    raise ValueError('image budget')
+                image.load()
+                out = BytesIO()
+                rgba = image.convert('RGBA')
+                background = Image.new('RGBA', rgba.size, 'white')
+                background.alpha_composite(rgba)
+                (rgba if unlimited else background.convert('RGB')).save(out, 'PNG')
+                key = (asset.kind, asset.source_hash)
+                if key in result:
+                    raise ValueError('duplicate asset')
+                result[key] = out.getvalue()
+        except Exception as exc:
+            raise ApiError(422, 'EXPORT_ASSET_INVALID', 'Invalid PNG or resource budget exceeded.') from exc
+    return result
+
+def attach_assets(document, assets):
+    """按资源类型和源码哈希把已验证图片挂载到对应文档节点。"""
+    def visit(node):
+        source = node.attributes.get('src', '') if node.type == 'image' else node.text
+        key = (node.type, source_hash(source))
+        if key in assets:
+            node.attributes['static_png'] = assets[key]
+        for child in node.children:
+            visit(child)
+    for child in document.children:
+        visit(child)
+
+def plot_png(plot):
+    """按 SVG/PDF 共用的裁剪几何，以二倍分辨率生成 DOCX 图像。"""
+    from app.plot.render import compute_geometry, _sx, _sy, _fmt_num
+    from PIL import ImageDraw, ImageFont
+    geo = compute_geometry(plot)
+    image = Image.new('RGB', (geo.width * 2, (geo.height + ((len(plot.expressions)+1)//2)*24) * 2), 'white')
+    draw = ImageDraw.Draw(image)
+    from app.export.fonts import FONT_PATH
+    font = ImageFont.truetype(str(FONT_PATH), 20) if FONT_PATH else ImageFont.load_default(size=20)
+    def line(points, color, width=2):
+        draw.line([(x * 2, y * 2) for x, y in points], fill=color, width=width)
+    sx = lambda x: _sx(x, geo.xmin, geo.xmax)
+    sy = lambda y: _sy(y, geo.ymin, geo.ymax)
+    for x in geo.xticks:
+        if geo.grid: line([(sx(x),52),(sx(x),428)], '#d0d7de')
+        draw.text((sx(x)*2, sy(geo.x_axis_y)*2+8), _fmt_num(x), fill='#57606a', font=font)
+    for y in geo.yticks:
+        if geo.grid: line([(52,sy(y)),(588,sy(y))], '#d0d7de')
+        draw.text((max(0,sx(geo.y_axis_x)*2-75),sy(y)*2), _fmt_num(y), fill='#57606a', font=font)
+    line([(52,sy(geo.x_axis_y)),(588,sy(geo.x_axis_y))], '#57606a')
+    line([(sx(geo.y_axis_x),52),(sx(geo.y_axis_x),428)], '#57606a')
+    for segments, color in zip(geo.polylines,geo.colors):
+        for segment in segments:
+            if len(segment)>1: line(segment,color,3)
+    if geo.xlabel:
+        draw.text((geo.width, (geo.height - 18)*2), geo.xlabel, fill='#1f2328', font=font, anchor='mm')
+    if geo.ylabel:
+        # 纵轴标题横排在左上边距，避免 CJK 文本在 Word 中旋转后不可读。
+        draw.text((24, 24), geo.ylabel, fill='#1f2328', font=font)
+    for index, expression in enumerate(plot.expressions):
+        draw.text((48+(index%2)*620,geo.height*2+index//2*48),expression.label or 'y = '+expression.expression,fill=geo.colors[index],font=font)
+    out=BytesIO(); image.save(out,'PNG')
+    return out.getvalue(), geo.warnings

backend/app/export/browser_pdf.py

@@ -0,0 +1,66 @@
+"""使用真实浏览器引擎打印应用生成的自包含主题快照。
+
+子进程隔离 Playwright 在 Windows 上的事件循环与 Uvicorn，并把浏览器生命周期限制在
+单次导出内。快照禁止脚本、网络和文件加载，字体与图片必须由客户端提前内嵌。
+"""
+from pathlib import Path
+import os
+import shutil
+import subprocess
+import sys
+import tempfile
+from app.export.document import ExportResult
+
+
+def browser_executable():
+    """优先使用显式配置，再查找系统已安装的 Chromium 系浏览器。"""
+    configured = os.environ.get('APP_PDF_BROWSER')
+    if configured:
+        return configured
+    for root in (os.environ.get('PROGRAMFILES(X86)', ''), os.environ.get('PROGRAMFILES', ''), os.environ.get('LOCALAPPDATA', '')):
+        if not root:
+            continue
+        for suffix in ('Microsoft/Edge/Application/msedge.exe', 'Google/Chrome/Application/chrome.exe'):
+            candidate = Path(root) / suffix
+            if candidate.is_file():
+                return str(candidate)
+    return next((p for name in ('chromium','chromium-browser','google-chrome','microsoft-edge') if (p := shutil.which(name))), None)
+
+
+def render_snapshot(snapshot: str, page_size: str) -> ExportResult:
+    """在隔离子进程中打印快照，避免阻塞或污染服务进程的事件循环。"""
+    with tempfile.TemporaryDirectory(prefix='notes-pdf-') as directory:
+        source = Path(directory) / 'snapshot.html'
+        output = Path(directory) / 'document.pdf'
+        source.write_text(snapshot, encoding='utf-8')
+        process = subprocess.run([sys.executable, '-m', 'app.export.browser_pdf', str(source), str(output), page_size],
+            capture_output=True, text=True, encoding='utf-8', errors='replace',
+            creationflags=getattr(subprocess, 'CREATE_NO_WINDOW', 0),
+            cwd=Path(__file__).resolve().parents[2])
+        if process.returncode:
+            raise RuntimeError('PDF browser rendering failed: ' + process.stderr[-2000:])
+        return ExportResult(content=output.read_bytes(), mime_type='application/pdf', warnings=[])
+
+
+def print_snapshot(source: Path, output: Path, page_size: str):
+    """在离线、禁用 JavaScript 的上下文中将自包含 HTML 打印为 PDF。"""
+    from playwright.sync_api import sync_playwright
+    with sync_playwright() as runtime:
+        browser = runtime.chromium.launch(executable_path=browser_executable(), headless=True)
+        try:
+            context = browser.new_context(java_script_enabled=False, offline=True)
+            context.route('**/*', lambda route: route.abort())
+            page = context.new_page()
+            page.set_default_timeout(0)
+            page.emulate_media(media='screen')
+            csp = "default-src 'none'; script-src 'none'; style-src 'unsafe-inline'; img-src data:; font-src data:; connect-src 'none'; frame-src 'none'; object-src 'none'; base-uri 'none'; form-action 'none'"
+            page.set_content('<meta http-equiv="Content-Security-Policy" content="'+csp+'">'+source.read_text(encoding='utf-8'), wait_until='load', timeout=0)
+            page.evaluate('async () => { await document.fonts.ready; await Promise.all([...document.images].map(image => image.decode().catch(() => {}))); }')
+            page.pdf(path=str(output), format='Letter' if page_size.lower()=='letter' else 'A4',
+                print_background=True, display_header_footer=False, prefer_css_page_size=False)
+        finally:
+            browser.close()
+
+
+if __name__ == '__main__':
+    print_snapshot(Path(sys.argv[1]), Path(sys.argv[2]), sys.argv[3])

backend/app/export/exporters/_common.py

@@ -1,7 +1,6 @@
 """导出器共享工具：URL 协议校验、函数图像预算与占位 warning 文案。
 
-html / pdf / docx 三个导出器共用同一套安全规则与函数图像资源预算，避免各写一份
+导出器共享 URL 规则；HTML / DOCX 使用文档资源预算，PDF 不使用这些预算。
-导致行为漂移。
 """
 
 from __future__ import annotations
@@ -27,7 +26,7 @@ MAX_TOTAL_PLOT_NODES = 8000
 class FunctionPlotBudget:
     """函数图像文档级资源预算：数量上限 + 累计 AST 节点上限。
 
-    HTML 与 PDF 导出器在渲染每个 function-plot 图块前先问预算，超限即回退源码占位，
+    HTML 与 DOCX 导出器在渲染每个 function-plot 图块前先问预算，超限即回退源码占位，
     不解析不采样，避免多图块组合复杂度耗尽内存/CPU。
     """
 

backend/app/export/exporters/docx.py

@@ -1,7 +1,7 @@
 """DocxExporter：Document AST → DOCX（python-docx）。
 
-v1 为文本优先：标题/段落/行内强调与链接/列表/引用/表格/代码块/数学文本均可导出；
+标题、段落、列表、表格等使用原生 Word 元素；函数图、已准备的 Mermaid、
-function_plot 与 mermaid 保留源码占位并记 warning。中文字体通过 Normal 样式挂载
+受支持的公式与 Vault 图片使用静态图片，无法表示的资源保留源码并记 warning。中文字体通过 Normal 样式挂载
 w:eastAsia=宋体，保证 Word 打开时中文正常显示；bold/italic 由 Word 原生渲染。
 """
 
@@ -50,6 +50,8 @@ class DocxExporter:
 
     def render(self, document: Document, options: ExportOptions) -> ExportResult:
         """同步渲染；CPU 密集，调用方应放入线程执行，避免阻塞事件循环。"""
+        from app.export.exporters._common import FunctionPlotBudget
+        self._plot_budget = FunctionPlotBudget()
         self._doc = DocxDocument()
         self._configure_normal_style()
         self._configure_page(options)
@@ -109,6 +111,19 @@ class DocxExporter:
             self._render_block(child, warnings)
 
     def _render_block(self, node: DocumentNode, warnings: list[str]) -> None:
+        if node.attributes.get('static_png'):
+            from PIL import Image
+            png = node.attributes['static_png']
+            with Image.open(BytesIO(png)) as image:
+                section = self._doc.sections[-1]
+                available_width = (section.page_width - section.left_margin - section.right_margin) / 914400
+                # 为 Word 外层段落的行高和间距预留空间，避免图片跨出页面。
+                available_height = (section.page_height - section.top_margin - section.bottom_margin) / 914400 - 0.25
+                width = min(5.8, available_width,
+                    image.width / (180 if node.type == 'math_block' else 96),
+                    available_height * image.width / image.height)
+            self._doc.add_picture(BytesIO(png), width=Inches(width))
+            return
         handler = getattr(self, f"_block_{node.type}", None)
         if handler is not None:
             handler(node, warnings)
@@ -270,7 +285,20 @@ class DocxExporter:
         self._block_code_block(node, warnings)
 
     def _block_function_plot(self, node: DocumentNode, warnings: list[str]) -> None:
-        warnings.append(PLOT_PLACEHOLDER_WARNING)
+        from app.plot.parser import parse_source
+        from app.export.assets import plot_png
+        over = self._plot_budget.check_count()
+        if not over:
+            parsed = parse_source(node.text)
+            warnings.extend(d.message for d in parsed.diagnostics)
+            if parsed.plot:
+                over = self._plot_budget.check_nodes(parsed.plot.node_count)
+                if not over:
+                    png, messages = plot_png(parsed.plot)
+                    warnings.extend(messages)
+                    self._doc.add_picture(BytesIO(png), width=Inches(5.8))
+                    return
+        warnings.append(over or '函数图像无法绘制，已保留源码')
         self._block_code_block(node, warnings)
 
     def _block_math_block(self, node: DocumentNode, warnings: list[str]) -> None:
@@ -303,6 +331,12 @@ class DocxExporter:
         bold: bool = False,
         italic: bool = False,
     ) -> None:
+        if node.attributes.get('static_png'):
+            from PIL import Image
+            with Image.open(BytesIO(node.attributes['static_png'])) as image:
+                width = min(5.8, image.width / (180 if node.type.startswith('math') else 96))
+            paragraph.add_run().add_picture(BytesIO(node.attributes['static_png']), width=Inches(width))
+            return
         t = node.type
         if t == "text":
             self._add_run(paragraph, node.text, bold=bold, italic=italic)

backend/app/export/exporters/html.py

@@ -151,6 +151,16 @@ class HtmlExporter:
         return "".join(self._render_node(child, warnings) for child in children)
 
     def _render_node(self, node: DocumentNode, warnings: list[str]) -> str:
+        if node.attributes.get('static_png'):
+            import base64
+            data = base64.b64encode(node.attributes['static_png']).decode()
+            from PIL import Image
+            from io import BytesIO
+            width = ''
+            if node.type.startswith('math'):
+                with Image.open(BytesIO(node.attributes['static_png'])) as image:
+                    width = f'width:{image.width*96/180:.1f}px;vertical-align:middle;'
+            return f'<img alt="{html.escape(node.text or node.type)}" src="data:image/png;base64,{data}" style="{width}max-width:100%">'
         handler = getattr(self, f"_render_{node.type}", None)
         if handler is not None:
             return handler(node, warnings)
@@ -257,6 +267,8 @@ class HtmlExporter:
             warnings.append(f"函数图像：解析或渲染失败，已回退占位（{exc}）")
             return f'<pre class="function-plot">{html.escape(node.text)}</pre>'
         warnings.extend(rendered.warnings)
+        from app.plot.render import theme_svg
+        rendered.content = theme_svg(rendered.content, self._options.theme_id)
         return f'<figure class="function-plot">{rendered.content}</figure>'
 
     def _render_math_block(self, node: DocumentNode, warnings: list[str]) -> str:

backend/app/export/exporters/pdf.py

@@ -20,7 +20,7 @@ from reportlab.pdfbase.cidfonts import UnicodeCIDFont
 from reportlab.platypus import (
     Paragraph,
     Indenter,
-    Preformatted,
+    XPreformatted,
     SimpleDocTemplate,
     Spacer,
     Table,
@@ -29,12 +29,11 @@ from reportlab.platypus import (
 from reportlab.platypus.flowables import HRFlowable
 
 from app.contracts import ExportOptions
-from app.export.themes import CALLOUTS, print_theme_warning
+from app.export.themes import CALLOUTS, pdf_palette
 from app.export.document import Document, DocumentNode, ExportResult
 from app.export.exporters._common import (
     MERMAID_WARNING,
     RAW_HTML_WARNING,
-    FunctionPlotBudget,
     format_meta_value,
     format_plot_diagnostic,
     safe_url,
@@ -42,8 +41,7 @@ from app.export.exporters._common import (
 from app.plot.render_reportlab import render_drawing
 from app.plot.renderer import FunctionPlotStaticRenderer, StaticRenderRequest
 
-_FONT = "STSong-Light"
+from app.export.fonts import FONT as _FONT
-pdfmetrics.registerFont(UnicodeCIDFont(_FONT))
 
 _MIME = "application/pdf"
 
@@ -55,10 +53,11 @@ _HEADING_SIZES = {1: 20, 2: 16, 3: 14, 4: 12, 5: 11, 6: 10.5}
 _QUOTE_COLOR = "#57606a"
 
 
-def _make_styles() -> dict[str, ParagraphStyle]:
+def _make_styles(palette) -> dict[str, ParagraphStyle]:
     body = ParagraphStyle(
         "pdf-body",
         fontName=_FONT,
+        textColor=palette["text"],
         fontSize=10.5,
         leading=16,
         spaceAfter=6,
@@ -68,7 +67,7 @@ def _make_styles() -> dict[str, ParagraphStyle]:
         "pdf-quote",
         parent=body,
         leftIndent=14,
-        textColor="#57606a",
+        textColor=palette["muted"],
         spaceBefore=4,
         spaceAfter=6,
     )
@@ -79,8 +78,8 @@ def _make_styles() -> dict[str, ParagraphStyle]:
         leading=12,
         leftIndent=6,
         rightIndent=6,
-        backColor="#f6f8fa",
+        backColor=palette["code"],
-        borderColor="#d0d7de",
+        borderColor=palette["border"],
         borderWidth=0.5,
         borderPadding=6,
         spaceBefore=4,
@@ -89,9 +88,9 @@ def _make_styles() -> dict[str, ParagraphStyle]:
     math = ParagraphStyle("pdf-math", parent=body, alignment=TA_CENTER, spaceBefore=6)
     cell = ParagraphStyle("pdf-cell", parent=body, fontSize=10, leading=14, spaceAfter=0)
     cell_head = ParagraphStyle(
-        "pdf-cell-head", parent=cell, textColor="#1f2328", fontSize=10
+        "pdf-cell-head", parent=cell, textColor=palette["text"], fontSize=10
     )
-    meta = ParagraphStyle("pdf-meta", parent=body, fontSize=8.5, leading=13, textColor="#57606a")
+    meta = ParagraphStyle("pdf-meta", parent=body, fontSize=8.5, leading=13, textColor=palette["muted"])
     styles: dict[str, ParagraphStyle] = {
         "body": body,
         "title": title,
@@ -110,6 +109,7 @@ def _make_styles() -> dict[str, ParagraphStyle]:
             leading=size * 1.4,
             spaceBefore=14 if level <= 2 else 10,
             spaceAfter=6,
+            keepWithNext=True,
         )
     return styles
 
@@ -119,16 +119,17 @@ class PdfExporter:
 
     def render(self, document: Document, options: ExportOptions) -> ExportResult:
         """同步渲染；CPU 密集，调用方应放入线程执行，避免阻塞事件循环。"""
-        self._styles = _make_styles()
         warnings: list[str] = []
-        print_theme_warning(options, warnings, "PDF")
+        self._palette = pdf_palette(options, warnings)
+        self._styles = _make_styles(self._palette)
+        if _FONT == "STSong-Light": warnings.append("PDF 使用 CID 字体，阅读器需提供中文字体；可配置 APP_EXPORT_FONT 嵌入 TrueType 字体")
 
         page = _PAGE_SIZES.get((options.page_size or "A4").lower(), A4)
         self._options = options
-        self._plot_budget = FunctionPlotBudget()
         self._plot_renderer = FunctionPlotStaticRenderer()
         # 内容区宽度（左右各 20mm 边距），供函数图像缩放适配页面
-        self._plot_width = page[0] - 40 * mm
+        self._plot_width = page[0] - 40 * mm - 12
+        self._plot_height = page[1] - 36 * mm - 12
         buf = BytesIO()
         doc = SimpleDocTemplate(
             buf,
@@ -144,7 +145,14 @@ class PdfExporter:
         self._render_header(document, options, story)
         self._render_children(document.children, story, warnings)
 
-        doc.build(story)
+        def paint_page(canvas, template):
+            canvas.saveState()
+            canvas.setFillColor(self._palette['page'])
+            canvas.rect(0, 0, page[0], page[1], fill=1, stroke=0)
+            canvas.setFillColor(self._palette['surface'])
+            canvas.roundRect(12*mm, 10*mm, page[0]-24*mm, page[1]-20*mm, 5*mm, fill=1, stroke=0)
+            canvas.restoreState()
+        doc.build(story, onFirstPage=paint_page, onLaterPages=paint_page)
         return ExportResult(content=buf.getvalue(), mime_type=_MIME, warnings=warnings)
 
     async def export(self, document: Document, options: ExportOptions) -> ExportResult:
@@ -169,6 +177,14 @@ class PdfExporter:
             self._render_block(child, story, warnings)
 
     def _render_block(self, node: DocumentNode, story: list, warnings: list[str]) -> None:
+        if node.attributes.get('static_png'):
+            from reportlab.platypus import Image
+            image = Image(BytesIO(node.attributes['static_png']))
+            scale = min(1, self._plot_width / image.imageWidth, self._plot_height / image.imageHeight)
+            image.drawWidth = image.imageWidth * scale
+            image.drawHeight = image.imageHeight * scale
+            story.append(image)
+            return
         handler = getattr(self, f"_block_{node.type}", None)
         if handler is not None:
             handler(node, story, warnings)
@@ -186,9 +202,13 @@ class PdfExporter:
     def _block_callout(self, node, story, warnings):
         kind = node.attributes['kind']
         icon, color = CALLOUTS[kind]
+        from reportlab.lib.colors import HexColor
+        background = HexColor(self._palette['code'])
+        if .2126*background.red + .7152*background.green + .0722*background.blue < .5:
+            color = {'#0969da':'#a5d6ff','#7041a0':'#d2a8ff','#176f41':'#7ee787','#805400':'#f2cc60','#b42318':'#ffa198','#57606a':self._palette['muted']}[color]
         title = self._render_inline(node.children[0].children,warnings)
         style = ParagraphStyle('callout-'+kind,parent=self._styles['body'],textColor=color,
-            backColor='#f6f8fa',borderColor=color,borderWidth=1,borderPadding=6,spaceBefore=8,spaceAfter=8)
+            backColor=self._palette['code'],borderColor=color,borderWidth=1,borderPadding=6,spaceBefore=8,spaceAfter=8)
         story.append(Paragraph(_html.escape(icon)+' '+title,style))
         self._render_children(node.children[1:],story,warnings)
 
@@ -201,7 +221,7 @@ class PdfExporter:
                     Paragraph(self._render_inline(child.children, warnings), self._styles["quote"])
                 )
             elif child.type == "list":
-                self._block_list(child, story, warnings, indent=14, color=_QUOTE_COLOR)
+                self._block_list(child, story, warnings, indent=14, color=self._palette['muted'])
             else:
                 self._render_block(child, story, warnings)
 
@@ -265,7 +285,7 @@ class PdfExporter:
                 parts.append(self._render_inline(child.children, warnings))
             elif hasattr(self, f"_block_{child.type}"):
                 flush()
-                # Keep block content inside the list frame, including tables and callouts.
+                # 表格、警告框等块级内容也要保持在列表缩进框内。
                 story.append(Indenter(left=indent))
                 self._render_block(child, story, warnings)
                 story.append(Indenter(left=-indent))
@@ -293,7 +313,7 @@ class PdfExporter:
             data.append(cells)
         table = Table(data, repeatRows=head_row_count)
         commands = [
-            ("GRID", (0, 0), (-1, -1), 0.5, "#d0d7de"),
+            ("GRID", (0, 0), (-1, -1), 0.5, self._palette["border"]),
             ("VALIGN", (0, 0), (-1, -1), "TOP"),
             ("LEFTPADDING", (0, 0), (-1, -1), 6),
             ("RIGHTPADDING", (0, 0), (-1, -1), 6),
@@ -301,53 +321,42 @@ class PdfExporter:
             ("BOTTOMPADDING", (0, 0), (-1, -1), 4),
         ]
         if head_row_count:
-            commands.append(("BACKGROUND", (0, 0), (-1, head_row_count - 1), "#f6f8fa"))
+            commands.append(("BACKGROUND", (0, 0), (-1, head_row_count - 1), self._palette["code"]))
         table.setStyle(TableStyle(commands))
         story.append(table)
 
     def _block_code_block(self, node: DocumentNode, story: list, warnings: list[str]) -> None:
-        story.append(Preformatted(node.text, self._styles["code"]))
+        story.append(XPreformatted(_html.escape(node.text), self._styles["code"]))
 
     def _block_thematic_break(self, node: DocumentNode, story: list, warnings: list[str]) -> None:
         story.append(Spacer(1, 4))
-        story.append(HRFlowable(width="100%", color="#d0d7de", thickness=0.5))
+        story.append(HRFlowable(width="100%", color=self._palette["border"], thickness=0.5))
         story.append(Spacer(1, 6))
 
     def _block_mermaid(self, node: DocumentNode, story: list, warnings: list[str]) -> None:
         warnings.append(MERMAID_WARNING)
-        story.append(Preformatted(node.text, self._styles["code"]))
+        story.append(XPreformatted(_html.escape(node.text), self._styles["code"]))
 
     def _block_function_plot(self, node: DocumentNode, story: list, warnings: list[str]) -> None:
-        # 文档级数量上限：超出部分直接回退占位，不解析不采样，防止海量图像耗尽资源
-        over = self._plot_budget.check_count()
-        if over is not None:
-            warnings.append(over)
-            story.append(Preformatted(node.text, self._styles["code"]))
-            return
         # 解析与渲染共同纳入局部异常回退：单个图像失败只回退占位 + warning，
         # 绝不阻断整篇导出（含复杂表达式触发的 RecursionError 等异常）。
         try:
             request = StaticRenderRequest(
                 kind="function_plot", source=node.text, theme=self._options.theme_id
             )
-            parsed = self._plot_renderer.parse(request)
+            from app.plot.parser import parse_source
+            parsed = parse_source(request.source, unlimited=True)
             for diag in parsed.diagnostics:
                 warnings.append(format_plot_diagnostic(diag))
             if parsed.plot is None:
-                story.append(Preformatted(node.text, self._styles["code"]))
+                story.append(XPreformatted(_html.escape(node.text), self._styles["code"]))
-                return
-            # 文档级累计复杂度预算：超出后回退占位，不再采样求值
-            over = self._plot_budget.check_nodes(parsed.plot.node_count)
-            if over is not None:
-                warnings.append(over)
-                story.append(Preformatted(node.text, self._styles["code"]))
                 return
             # Drawing 本身即 Flowable，缩放后追加到 story，与 HTML 视觉一致
-            drawing = render_drawing(parsed.plot, width=self._plot_width)
+            drawing = render_drawing(parsed.plot, width=self._plot_width, palette=self._palette, unlimited=True, max_height=self._plot_height)
             story.append(drawing)
         except Exception as exc:
             warnings.append(f"函数图像：解析或渲染失败，已回退占位（{exc}）")
-            story.append(Preformatted(node.text, self._styles["code"]))
+            story.append(XPreformatted(_html.escape(node.text), self._styles["code"]))
 
     def _block_math_block(self, node: DocumentNode, story: list, warnings: list[str]) -> None:
         story.append(Paragraph(f"$${_html.escape(node.text)}$$", self._styles["math"]))
@@ -362,6 +371,15 @@ class PdfExporter:
         return "".join(self._render_inline_node(child, warnings) for child in children)
 
     def _render_inline_node(self, node: DocumentNode, warnings: list[str]) -> str:
+        if node.attributes.get('static_png'):
+            import base64
+            from PIL import Image as PILImage
+            raw = node.attributes['static_png']
+            with PILImage.open(BytesIO(raw)) as image:
+                scale = min(.4 if node.type.startswith('math') else 1, 350/image.width, 160/image.height)
+                width, height = image.width*scale, image.height*scale
+            data = base64.b64encode(raw).decode()
+            return f'<img src="data:image/png;base64,{data}" width="{width}" height="{height}" valign="middle"/>'
         t = node.type
         if t == "text":
             return _html.escape(node.text)
@@ -376,7 +394,7 @@ class PdfExporter:
             if safe_href is None:
                 warnings.append(f"链接协议不安全，已降级为纯文本：{href!r}")
                 return inner
-            return f'<a href="{_html.escape(safe_href)}">{inner}</a>'
+            return f'<a href="{_html.escape(safe_href)}" color="{self._palette["accent"]}">{inner}</a>'
         if t == "image":
             src = str(node.attributes.get("src") or "")
             alt = str(node.attributes.get("alt") or "")

backend/app/export/fonts.py

@@ -0,0 +1,23 @@
+"""嵌入可用的 CJK TrueType 字体，找不到时保留可移植的 CID 字体回退。"""
+import os
+from pathlib import Path
+from reportlab.pdfbase import pdfmetrics
+from reportlab.pdfbase.ttfonts import TTFont
+from reportlab.pdfbase.cidfonts import UnicodeCIDFont
+
+def register_font():
+    """按显式配置、系统字体、Linux 字体的顺序注册 PDF 中文字体。"""
+    candidates = [os.getenv('APP_EXPORT_FONT',''),
+        str(Path(os.getenv('WINDIR','C:/Windows'))/'Fonts/simsun.ttc'),
+        '/usr/share/fonts/truetype/arphic/uming.ttc']
+    for candidate in candidates:
+        if candidate and Path(candidate).is_file():
+            try:
+                pdfmetrics.registerFont(TTFont('NotesExportCJK',candidate,subfontIndex=0))
+                return 'NotesExportCJK', Path(candidate)
+            except Exception:
+                continue
+    pdfmetrics.registerFont(UnicodeCIDFont('STSong-Light'))
+    return 'STSong-Light', None
+
+FONT, FONT_PATH = register_font()

backend/app/export/markdown.py

@@ -178,6 +178,9 @@ class _AstMapper:
                 type="link", node_id=self.next_id(), attributes=attributes,
                 children=self.map_inline(token.get("children", [])),
             )
+        if kind == "inline_html":
+            # 保留行内 HTML 的来源标记，仅供 PDF 资源扫描识别 img；最终 HTML 仍由前端净化。
+            return DocumentNode(type="text", node_id=self.next_id(), text=token.get("raw", ""), attributes={"raw_html": True})
         if kind == "codespan":
             return DocumentNode(type="codespan", node_id=self.next_id(), text=token.get("raw", ""))
         if kind == "image":

backend/app/export/service.py

@@ -146,7 +146,7 @@ def _evict_terminal() -> bool:
     return True
 
 
-async def _resolve_source(source: ExportSource) -> tuple[str, str, dict | None]:
+async def _resolve_source(source: ExportSource, unlimited: bool = False) -> tuple[str, str, dict | None]:
     """把导出源解析为 (markdown, title, metadata)；metadata 仅 note 源提供。"""
     if source.type == ExportSourceType.note:
         note = await note_service.get_note(source.note_id)
@@ -157,7 +157,7 @@ async def _resolve_source(source: ExportSource) -> tuple[str, str, dict | None]:
                 "note not found",
                 {"note_id": source.note_id},
             )
-        if len(note.markdown) > MAX_MARKDOWN_CHARS:
+        if not unlimited and len(note.markdown) > MAX_MARKDOWN_CHARS:
             raise ApiError(
                 400,
                 "EXPORT_OPTIONS_INVALID",
@@ -175,19 +175,22 @@ async def _resolve_source(source: ExportSource) -> tuple[str, str, dict | None]:
     markdown = source.markdown or ""
     if not markdown.strip():
         raise ApiError(400, "EXPORT_OPTIONS_INVALID", "markdown source must not be empty")
-    if len(markdown) > MAX_MARKDOWN_CHARS:
+    if not unlimited and len(markdown) > MAX_MARKDOWN_CHARS:
         raise ApiError(
             400,
             "EXPORT_OPTIONS_INVALID",
             f"markdown source exceeds {MAX_MARKDOWN_CHARS} characters",
             {"size": len(markdown), "limit": MAX_MARKDOWN_CHARS},
         )
-    return markdown, "", None
+    return markdown, "", {"file_path": source.file_path} if source.file_path else None
 
 
 async def create_export(request: ExportRequest) -> ExportJob:
     """创建导出任务，立即返回 queued 的 ExportJob，由后台 Task 渲染。"""
-    markdown, title, metadata = await _resolve_source(request.source)
+    markdown, title, metadata = await _resolve_source(request.source, request.format == ExportFormat.pdf)
+    title = request.title or title
+    from app.export.assets import validate_assets
+    assets = await asyncio.to_thread(validate_assets, request.assets, request.format == ExportFormat.pdf)
 
     if not _evict_terminal():
         raise ApiError(
@@ -207,7 +210,7 @@ async def create_export(request: ExportRequest) -> ExportJob:
     _jobs[job_id] = job
     _cancel_flags[job_id] = asyncio.Event()
     _tasks[job_id] = asyncio.create_task(
-        _execute(job_id, request.format, markdown, title, metadata, request.options)
+        _execute(job_id, request.format, markdown, title, metadata, request.options, assets, request.print_html)
     )
     return job
 
@@ -245,6 +248,8 @@ async def _execute(
     title: str,
     metadata: dict | None,
     options: ExportOptions,
+    assets: dict | None = None,
+    print_html: str | None = None,
 ) -> None:
     """后台渲染：排队 → 解析 → 导出 → 写文件 → 挂载产物元信息。"""
     cancel_event = _cancel_flags[job_id]
@@ -271,15 +276,24 @@ async def _execute(
 
         # 解析与渲染都是 CPU 密集的同步工作，放入线程执行避免阻塞事件循环，
         # 使运行中的取消能在渲染边界生效；写文件前再次检查取消。
-        document = await asyncio.to_thread(parse_document, markdown)
+        if format == ExportFormat.pdf and print_html is not None:
-        document.attributes["title"] = title
+            from app.export.browser_pdf import render_snapshot
-        if metadata:
+            result = await asyncio.to_thread(render_snapshot, print_html, options.page_size)
-            document.attributes["metadata"] = metadata
+        else:
+            document = await asyncio.to_thread(parse_document, markdown)
+            document.attributes["title"] = title
+            from app.export.assets import attach_assets
+            attach_assets(document, assets or {})
+            if metadata:
+                document.attributes["metadata"] = metadata
 
-        result = await asyncio.to_thread(_render_document, document, options, format)
+            from app.export.assets import enrich_document
+            resource_warnings = await asyncio.to_thread(enrich_document, document, (metadata or {}).get('file_path'), format == ExportFormat.pdf, options)
+            result = await asyncio.to_thread(_render_document, document, options, format)
+            result.warnings[:0] = resource_warnings
         if cancel_event.is_set():
             raise ExportCancelled()
-        if len(result.content) > MAX_EXPORT_BYTES:
+        if format != ExportFormat.pdf and len(result.content) > MAX_EXPORT_BYTES:
             raise ExportTooLarge()
 
         ext = _extension_for(format)
@@ -389,3 +403,42 @@ async def wait_for_export(job_id: str) -> ExportJob | None:
     if task is not None:
         await task
     return _jobs.get(job_id)
+
+
+async def preview_resources(request: ExportRequest):
+    """为浏览器渲染器准备通过 Vault 校验的图片和静态函数图。"""
+    import base64
+    from app.export.assets import enrich_document
+    from app.plot.parser import parse_source
+    from app.plot.render import render_svg
+    from app.export.document import Document, DocumentNode
+    from html.parser import HTMLParser
+    markdown, _, metadata = await _resolve_source(request.source, True)
+    def prepare():
+        document = parse_document(markdown)
+        images, plots = [], []
+        class HtmlImages(HTMLParser):
+            # 原始 HTML 只提取 img.src；路径、扩展名和图片格式仍交给 enrich_document 校验。
+            # 行内代码和代码块在 AST 中不是 HTML 节点，因此不会误当作图片资源。
+            def handle_starttag(self, tag, attrs):
+                if tag == 'img':
+                    src = dict(attrs).get('src')
+                    if src:
+                        visit(DocumentNode(type='image', node_id='html-image', attributes={'src':src}))
+        def visit(node):
+            if node.type == 'html_block' or node.attributes.get('raw_html'):
+                parser = HtmlImages(convert_charrefs=True)
+                parser.feed(node.text)
+                parser.close()
+            if node.type == 'image':
+                warnings = enrich_document(Document(node_id='pdf-resources', children=[node]), (metadata or {}).get('file_path'), True, request.options, preserve_alpha=True)
+                raw = node.attributes.get('static_png')
+                images.append({'source': node.attributes.get('src',''), 'data': 'data:image/png;base64,'+base64.b64encode(raw).decode() if raw else None, 'warnings': warnings})
+            if node.type == 'function_plot':
+                parsed = parse_source(node.text, unlimited=True)
+                result = render_svg(parsed.plot, request.options.theme_id, unlimited=True) if parsed.plot else None
+                plots.append({'source':node.text, 'svg':result.content if result else '', 'warnings':[d.message for d in parsed.diagnostics]+(result.warnings if result else [])})
+            for child in node.children: visit(child)
+        for child in document.children: visit(child)
+        return {'images':images,'plots':plots}
+    return await asyncio.to_thread(prepare)

backend/app/export/themes.py

@@ -1,5 +1,6 @@
 """Export palettes are fixed data; arbitrary theme CSS is never executed."""
 PALETTES = {
+    'ocean-blue': ('#edf5fa','#ffffff','#183a50','#46667a','#e6f1f8','#a6c5d9','#086b9c'),
     'light': ('#f6f7f9','#ffffff','#1f2328','#57606a','#eaeef2','#d0d7de','#0969da'),
     'dark': ('#010409','#0d1117','#e6edf3','#b1bac4','#21262d','#57606a','#79c0ff'),
     'sepia': ('#eee5d2','#faf4e6','#463b2d','#6b5943','#eae0cd','#b5a58b','#80532a'),
@@ -31,3 +32,13 @@ ALIASES = {'summary':'abstract','tldr':'abstract','hint':'tip',
            'check':'success','done':'success','help':'question','faq':'question',
            'caution':'warning','attention':'warning','fail':'failure','missing':'failure',
            'error':'danger','cite':'quote'}
+
+
+def pdf_palette(options, warnings):
+    if options.palette is not None:
+        return options.palette.model_dump()
+    theme_id = options.theme_id
+    if theme_id not in PALETTES:
+        warnings.append(f'PDF 不支持主题 {theme_id}，已使用 light 导出配色')
+        theme_id = 'light'
+    return dict(zip(('page','surface','text','muted','code','border','accent'), PALETTES[theme_id]))

backend/app/local_models/runtime.py

@@ -5,6 +5,8 @@ import asyncio
 import json
 import os
 import time
+import hashlib
+from collections import OrderedDict
 from contextlib import closing
 from contextvars import ContextVar
 from functools import wraps
@@ -239,6 +241,11 @@ class Runtime:
 
 runtime = Runtime()
 
+# 对确定性的单文本本地向量做有界内存复用。键包含模型目录、不可变版本和冻结运行配置；
+# 远程 API 响应以及模型不可用时的回退结果都不进入缓存。
+_embedding_cache = OrderedDict()
+_EMBEDDING_CACHE_TTL = 600
+
 
 class LocalEmbedding:
     dim = 384
@@ -264,9 +271,24 @@ class LocalEmbedding:
 
     async def embed_documents(self, texts):
         config = (self._config or configuration()).model_copy(deep=True)
+        from app.retrieval.provenance import record_embedding
+        cache_key = None
+        if len(texts) == 1 and read_state(config.embedding_model)['status'] == 'installed' and interpreter(config).is_file():
+            cache_key = (str(model_path(config.embedding_model).resolve()), config.model_dump_json(),
+                         hashlib.sha256(texts[0].encode()).hexdigest())
+            cached = _embedding_cache.get(cache_key)
+            if cached and time.monotonic() - cached[0] < _EMBEDDING_CACHE_TTL:
+                _embedding_cache.move_to_end(cache_key)
+                record_embedding(query_embedding_cache='hit')
+                return [list(cached[1])]
+        record_embedding(query_embedding_cache='miss')
         token = runtime_context.set(config)
         try:
-            return await runtime.infer(config.embedding_model, "embedding", {"texts": texts}, priority=embedding_priority.get())
+            vectors = await runtime.infer(config.embedding_model, "embedding", {"texts": texts}, priority=embedding_priority.get())
+            if cache_key and len(vectors) == 1:
+                _embedding_cache[cache_key] = (time.monotonic(), tuple(vectors[0]))
+                while len(_embedding_cache) > 128: _embedding_cache.popitem(last=False)
+            return vectors
         finally:
             runtime_context.reset(token)
 

backend/app/main.py

@@ -35,6 +35,8 @@ async def lifespan(_: FastAPI):
     try:
         yield
     finally:
+        from app.benchmarks import service as benchmark_service
+        await benchmark_service.shutdown()
         await container.agent.shutdown()
         from app.services import index_service
         await index_service.shutdown()
@@ -75,6 +77,8 @@ app.include_router(local_model_router)
 app.include_router(usage_router)
 app.include_router(provider_preview_router)
 app.include_router(log_router)
+from app.plot_routes import router as plot_router
+app.include_router(plot_router)
 
 
 @app.middleware('http')

backend/app/plot/model.py

@@ -1,7 +1,7 @@
 """Function Plot 内部数据模型。
 
-契约 §12.2 的 FunctionPlot 结构与 §10.4 的 StaticRenderResult 只在导出链路的后端内部
+FunctionPlot 供预览和导出共享；StaticRenderResult 同时是交互预览端点的响应内容。
-流转，不进入 HTTP 契约，因此与 Document AST 一样放在独立包内，不进 contracts.py。
+模型保留在独立包内，由 plot_routes 中的请求与响应类型注册 OpenAPI。
 """
 
 from __future__ import annotations

backend/app/plot/parser.py

@@ -143,7 +143,7 @@ def _preprocess(expr: str) -> str:
     return _insert_implicit_multiplication(expr.replace("^", "**"))
 
 
-def _check_node(node: ast.AST, depth: int = 0, counter: list[int] | None = None) -> None:
+def _check_node(node: ast.AST, depth: int = 0, counter: list[int] | None = None, unlimited: bool = False) -> None:
     """白名单校验：任何越界节点都抛 FUNCTION_PLOT_EXPRESSION_UNSAFE。
 
     同时限制 AST 深度与节点总数，避免超长/超深表达式在递归校验或求值时触发
@@ -151,10 +151,10 @@ def _check_node(node: ast.AST, depth: int = 0, counter: list[int] | None = None)
     """
     if counter is None:
         counter = [0]
-    if depth > _MAX_AST_DEPTH:
+    if not unlimited and depth > _MAX_AST_DEPTH:
         _unsafe(f"表达式嵌套过深（超过 {_MAX_AST_DEPTH} 层）")
     counter[0] += 1
-    if counter[0] > _MAX_AST_NODES:
+    if not unlimited and counter[0] > _MAX_AST_NODES:
         _unsafe(f"表达式过于复杂（节点数超过 {_MAX_AST_NODES}）")
     if isinstance(node, ast.Constant):
         if isinstance(node.value, bool) or not isinstance(node.value, (int, float)):
@@ -167,13 +167,13 @@ def _check_node(node: ast.AST, depth: int = 0, counter: list[int] | None = None)
     if isinstance(node, ast.BinOp):
         if not isinstance(node.op, _ALLOWED_BINOPS):
             _unsafe(f"不支持的运算符 {type(node.op).__name__}")
-        _check_node(node.left, depth + 1, counter)
+        _check_node(node.left, depth + 1, counter, unlimited)
-        _check_node(node.right, depth + 1, counter)
+        _check_node(node.right, depth + 1, counter, unlimited)
         return
     if isinstance(node, ast.UnaryOp):
         if not isinstance(node.op, _ALLOWED_UNARY):
             _unsafe(f"不支持的运算符 {type(node.op).__name__}")
-        _check_node(node.operand, depth + 1, counter)
+        _check_node(node.operand, depth + 1, counter, unlimited)
         return
     if isinstance(node, ast.Call):
         if not isinstance(node.func, ast.Name) or node.func.id not in _FUNCTIONS:
@@ -184,12 +184,12 @@ def _check_node(node: ast.AST, depth: int = 0, counter: list[int] | None = None)
         if len(node.args) != 1:
             _unsafe(f"{node.func.id} 需要 1 个参数，实际 {len(node.args)} 个")
         for arg in node.args:
-            _check_node(arg, depth + 1, counter)
+            _check_node(arg, depth + 1, counter, unlimited)
         return
     _unsafe(f"不支持的语法 {type(node).__name__}")
 
 
-def parse_expression(expr: str) -> ast.Expression:
+def parse_expression(expr: str, unlimited: bool = False) -> ast.Expression:
     """把数学表达式解析为已通过白名单校验的 AST（可直接交给 evaluate）。"""
     preprocessed = _preprocess(expr)
     try:
@@ -211,7 +211,7 @@ def parse_expression(expr: str) -> ast.Expression:
                 message="表达式嵌套过深，无法解析",
             )
         ) from exc
-    _check_node(tree.body)
+    _check_node(tree.body, unlimited=unlimited)
     return tree
 
 
@@ -279,7 +279,7 @@ def _parse_directive(line: str) -> tuple[str, str] | None:
     return key, value.strip()
 
 
-def parse_source(source: str) -> FunctionPlotParseResult:
+def parse_source(source: str, unlimited: bool = False) -> FunctionPlotParseResult:
     """把 function-plot fenced block 源码解析为 FunctionPlot + 诊断。"""
     diagnostics: list[PlotDiagnostic] = []
     expressions: list[FunctionPlotExpression] = []
@@ -371,7 +371,7 @@ def parse_source(source: str) -> FunctionPlotParseResult:
             continue
 
         try:
-            tree = parse_expression(expr_text)
+            tree = parse_expression(expr_text, unlimited=unlimited)
         except PlotParseError as exc:
             exc.diagnostic.line = lineno
             diagnostics.append(exc.diagnostic)
@@ -380,7 +380,7 @@ def parse_source(source: str) -> FunctionPlotParseResult:
         total_nodes += _count_nodes(tree.body)
         expressions.append(FunctionPlotExpression(expression=expr_text))
         # 表达式数量超限：整块回退并提前终止，避免对海量表达式做采样求值
-        if len(expressions) > _MAX_EXPRESSIONS:
+        if not unlimited and len(expressions) > _MAX_EXPRESSIONS:
             diagnostics.append(
                 PlotDiagnostic(
                     severity="error",

backend/app/plot/render.py

@@ -339,7 +339,7 @@ def _sample_segments(
     return clipped
 
 
-def compute_geometry(plot: FunctionPlot) -> PlotGeometry:
+def compute_geometry(plot: FunctionPlot, unlimited: bool = False) -> PlotGeometry:
     """解析并计算几何，供 SVG 与 reportlab 后端复用。"""
     warnings: list[str] = []
     xmin, xmax = plot.domain
@@ -351,7 +351,7 @@ def compute_geometry(plot: FunctionPlot) -> PlotGeometry:
     fns: list[tuple[object, object]] = []
     for expr in plot.expressions:
         try:
-            tree = parse_expression(expr.expression)
+            tree = parse_expression(expr.expression, unlimited=unlimited)
         except PlotParseError as exc:
             warnings.append(f"表达式无法渲染，已跳过：{expr.expression}（{exc.diagnostic.message}）")
             continue
@@ -413,12 +413,12 @@ def _grid_svg(geo: PlotGeometry) -> str:
     for x in geo.xticks:
         parts.append(
             f'<line x1="{sx(x):.2f}" y1="{sy(geo.ymin):.2f}" x2="{sx(x):.2f}" '
-            f'y2="{sy(geo.ymax):.2f}" stroke="#eaeef2"/>'
+            f'y2="{sy(geo.ymax):.2f}" stroke="#eaeef2" class="plot-grid"/>'
         )
     for y in geo.yticks:
         parts.append(
             f'<line x1="{sx(geo.xmin):.2f}" y1="{sy(y):.2f}" x2="{sx(geo.xmax):.2f}" '
-            f'y2="{sy(y):.2f}" stroke="#eaeef2"/>'
+            f'y2="{sy(y):.2f}" stroke="#eaeef2" class="plot-grid"/>'
         )
     return "".join(parts)
 
@@ -430,11 +430,11 @@ def _axes_svg(geo: PlotGeometry) -> str:
     # 坐标轴：过原点则画在原点，否则贴边，保证始终有参照系
     parts.append(
         f'<line x1="{sx(geo.xmin):.2f}" y1="{sy(geo.x_axis_y):.2f}" x2="{sx(geo.xmax):.2f}" '
-        f'y2="{sy(geo.x_axis_y):.2f}" stroke="#57606a"/>'
+        f'y2="{sy(geo.x_axis_y):.2f}" stroke="#57606a" class="plot-axis"/>'
     )
     parts.append(
         f'<line x1="{sx(geo.y_axis_x):.2f}" y1="{sy(geo.ymin):.2f}" x2="{sx(geo.y_axis_x):.2f}" '
-        f'y2="{sy(geo.ymax):.2f}" stroke="#57606a"/>'
+        f'y2="{sy(geo.ymax):.2f}" stroke="#57606a" class="plot-axis"/>'
     )
     # x 轴刻度数字（画在轴下方）
     for x in geo.xticks:
@@ -453,10 +453,10 @@ def _axes_svg(geo: PlotGeometry) -> str:
 
 def _polylines_svg(geo: PlotGeometry) -> str:
     parts: list[str] = []
-    for segments, color in zip(geo.polylines, geo.colors):
+    for index, (segments, color) in enumerate(zip(geo.polylines, geo.colors)):
         for seg in segments:
             points = " ".join(f"{px:.2f},{py:.2f}" for px, py in seg)
-            parts.append(f'<polyline points="{points}" fill="none" stroke="{color}"/>')
+            parts.append(f'<polyline points="{points}" fill="none" stroke="{color}" class="plot-curve-{index % 6}"/>')
     return "".join(parts)
 
 
@@ -476,22 +476,43 @@ def _labels_svg(geo: PlotGeometry) -> str:
     return "".join(parts)
 
 
-def render_svg(plot: FunctionPlot) -> StaticRenderResult:
+def render_svg(plot: FunctionPlot, theme_id: str = 'light', unlimited: bool = False) -> StaticRenderResult:
     """把已解析的 FunctionPlot 渲染为内嵌 SVG。"""
-    geo = compute_geometry(plot)
+    geo = compute_geometry(plot, unlimited=unlimited)
+    legend_height = ((len(plot.expressions) + 1) // 2) * 24
+    height = geo.height + legend_height
     parts: list[str] = [
-        f'<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 {geo.width} {geo.height}" role="img">'
+        f'<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 {geo.width} {height}" role="img" class="function-plot-svg">'
     ]
     if geo.grid:
         parts.append(_grid_svg(geo))
     parts.append(_axes_svg(geo))
     parts.append(_polylines_svg(geo))
     parts.append(_labels_svg(geo))
+    for index, expression in enumerate(plot.expressions):
+        x = 24 + (index % 2) * 310
+        y = geo.height + 18 + (index // 2) * 24
+        label = html.escape(expression.label or ('y = ' + expression.expression))
+        parts.append(f'<text x="{x}" y="{y}" font-size="12" fill="{geo.colors[index]}" class="plot-legend-{index % 6}">{label}</text>')
     parts.append("</svg>")
 
     return StaticRenderResult(
-        content="".join(parts),
+        content=theme_svg("".join(parts), theme_id),
         width=geo.width,
-        height=geo.height,
+        height=height,
         warnings=geo.warnings,
     )
+
+
+def theme_svg(svg: str, theme_id: str) -> str:
+    from app.export.themes import PALETTES
+    palette = PALETTES.get(theme_id, PALETTES['light'])
+    for source, target in [('#eaeef2', palette[5]), ('#57606a', palette[3]), ('#1f2328', palette[2])]:
+        svg = svg.replace(source, target)
+    if theme_id in {'dark', 'midnight-purple'}:
+        for source, target in zip(_PALETTE, ['#79c0ff','#ff9b9b','#7ee787','#d2a8ff','#f2cc60','#ffa657']):
+            svg = svg.replace(source, target)
+    background = '<rect width="100%" height="100%" fill="' + palette[1] + '"/>'
+    if re.search(r'<rect width="100%" height="100%" fill="[^"]*"/>', svg):
+        return re.sub(r'<rect width="100%" height="100%" fill="[^"]*"/>', background, svg, count=1)
+    return svg.replace('role="img" class="function-plot-svg">', 'role="img" class="function-plot-svg">' + background)

backend/app/plot/render_reportlab.py

@@ -17,9 +17,7 @@ from reportlab.pdfbase.cidfonts import UnicodeCIDFont
 from app.plot.model import FunctionPlot
 from app.plot.render import PlotGeometry, _fmt_num, _sx, _sy, compute_geometry
 
-_FONT = "STSong-Light"
+from app.export.fonts import FONT as _FONT
-if _FONT not in pdfmetrics.getRegisteredFontNames():
-    pdfmetrics.registerFont(UnicodeCIDFont(_FONT))
 
 _GRID_COLOR = HexColor("#eaeef2")
 _AXIS_COLOR = HexColor("#57606a")
@@ -28,9 +26,12 @@ _TICK_FONT_SIZE = 10
 _LABEL_FONT_SIZE = 12
 
 
-def _build_drawing(geo: PlotGeometry) -> Drawing:
+def _build_drawing(geo: PlotGeometry, palette=None) -> Drawing:
     """由共享几何构建矢量 Drawing（坐标翻转后仍沿用 SVG 的像素布局）。"""
     drawing = Drawing(geo.width, geo.height)
+    grid_color = HexColor(palette['border']) if palette else _GRID_COLOR
+    axis_color = HexColor(palette['muted']) if palette else _AXIS_COLOR
+    label_color = HexColor(palette['text']) if palette else _LABEL_COLOR
 
     # SVG y-down → reportlab y-up：翻转像素 y
     def sx(x: float) -> float:
@@ -43,19 +44,19 @@ def _build_drawing(geo: PlotGeometry) -> Drawing:
     if geo.grid:
         for x in geo.xticks:
             drawing.add(
-                Line(sx(x), sy(geo.ymin), sx(x), sy(geo.ymax), strokeColor=_GRID_COLOR, strokeWidth=0.5)
+                Line(sx(x), sy(geo.ymin), sx(x), sy(geo.ymax), strokeColor=grid_color, strokeWidth=0.5)
             )
         for y in geo.yticks:
             drawing.add(
-                Line(sx(geo.xmin), sy(y), sx(geo.xmax), sy(y), strokeColor=_GRID_COLOR, strokeWidth=0.5)
+                Line(sx(geo.xmin), sy(y), sx(geo.xmax), sy(y), strokeColor=grid_color, strokeWidth=0.5)
             )
 
     # 坐标轴（过原点画在原点，否则贴边，与 SVG 一致）
     drawing.add(
-        Line(sx(geo.xmin), sy(geo.x_axis_y), sx(geo.xmax), sy(geo.x_axis_y), strokeColor=_AXIS_COLOR, strokeWidth=0.7)
+        Line(sx(geo.xmin), sy(geo.x_axis_y), sx(geo.xmax), sy(geo.x_axis_y), strokeColor=axis_color, strokeWidth=0.7)
     )
     drawing.add(
-        Line(sx(geo.y_axis_x), sy(geo.ymin), sx(geo.y_axis_x), sy(geo.ymax), strokeColor=_AXIS_COLOR, strokeWidth=0.7)
+        Line(sx(geo.y_axis_x), sy(geo.ymin), sx(geo.y_axis_x), sy(geo.ymax), strokeColor=axis_color, strokeWidth=0.7)
     )
 
     # 刻度数字（x 轴下方、y 轴左侧）
@@ -63,14 +64,14 @@ def _build_drawing(geo: PlotGeometry) -> Drawing:
         drawing.add(
             String(
                 sx(x), sy(geo.x_axis_y) - 14, _fmt_num(x),
-                fontName=_FONT, fontSize=_TICK_FONT_SIZE, fillColor=_AXIS_COLOR, textAnchor="middle",
+                fontName=_FONT, fontSize=_TICK_FONT_SIZE, fillColor=axis_color, textAnchor="middle",
             )
         )
     for y in geo.yticks:
         drawing.add(
             String(
                 sx(geo.y_axis_x) - 6, sy(y) - 3, _fmt_num(y),
-                fontName=_FONT, fontSize=_TICK_FONT_SIZE, fillColor=_AXIS_COLOR, textAnchor="end",
+                fontName=_FONT, fontSize=_TICK_FONT_SIZE, fillColor=axis_color, textAnchor="end",
             )
         )
 
@@ -85,7 +86,7 @@ def _build_drawing(geo: PlotGeometry) -> Drawing:
         drawing.add(
             String(
                 geo.width / 2, 10, geo.xlabel,
-                fontName=_FONT, fontSize=_LABEL_FONT_SIZE, fillColor=_LABEL_COLOR, textAnchor="middle",
+                fontName=_FONT, fontSize=_LABEL_FONT_SIZE, fillColor=label_color, textAnchor="middle",
             )
         )
     if geo.ylabel:
@@ -97,7 +98,7 @@ def _build_drawing(geo: PlotGeometry) -> Drawing:
         label.add(
             String(
                 0, 0, geo.ylabel,
-                fontName=_FONT, fontSize=_LABEL_FONT_SIZE, fillColor=_LABEL_COLOR, textAnchor="middle",
+                fontName=_FONT, fontSize=_LABEL_FONT_SIZE, fillColor=label_color, textAnchor="middle",
             )
         )
         label.translate(16, geo.height / 2)
@@ -107,14 +108,25 @@ def _build_drawing(geo: PlotGeometry) -> Drawing:
     return drawing
 
 
-def render_drawing(plot: FunctionPlot, width: float | None = None) -> Drawing:
+def render_drawing(plot: FunctionPlot, width: float | None = None, palette=None, unlimited=False, max_height=None) -> Drawing:
     """把已解析的 FunctionPlot 渲染为 reportlab Drawing（可直接追加到 platypus story）。
 
     ``width`` 为目标输出宽度（点），用于把 640px 的几何缩放到页面内容宽；省略则按
     原始尺寸输出。缩放只影响 PDF 渲染，不改动共享几何。
     """
-    geo = compute_geometry(plot)
+    geo = compute_geometry(plot, unlimited=unlimited)
-    drawing = _build_drawing(geo)
+    if palette:
+        from reportlab.lib.colors import HexColor as color
+        bg = color(palette['surface'])
+        if .2126*bg.red + .7152*bg.green + .0722*bg.blue < .5:
+            colors = ['#79c0ff','#ff9b9b','#7ee787','#d2a8ff','#f2cc60','#ffa657']
+            geo.colors = [value if plot.expressions[i].color else colors[i % len(colors)] for i,value in enumerate(geo.colors)]
+    drawing = _build_drawing(geo, palette)
+    legend_height = ((len(plot.expressions)+1)//2)*24
+    drawing.height += legend_height
+    for index, expression in enumerate(plot.expressions):
+        drawing.add(String(24+(index%2)*310,geo.height+legend_height-18-(index//2)*24,
+            expression.label or 'y = '+expression.expression,fontName=_FONT,fontSize=12,fillColor=HexColor(geo.colors[index])))
     if width is not None and width > 0:
-        drawing.renderScale = min(1.0, width / geo.width)
+        drawing.renderScale = min(1.0, width / geo.width, max_height / drawing.height if max_height else 1.0)
     return drawing

backend/app/plot/renderer.py

@@ -47,7 +47,7 @@ class FunctionPlotStaticRenderer:
         parsed = self.parse(request)
         if parsed.plot is None:
             raise ValueError("function-plot source has no valid plot")
-        return self.render_plot(parsed.plot)
+        return render_svg(parsed.plot, request.theme or 'light')
 
     def render_plot(self, plot: FunctionPlot) -> StaticRenderResult:
         return render_svg(plot)

backend/app/plot_routes.py

@@ -0,0 +1,36 @@
+"""交互预览复用导出使用的有界解析器和几何计算。"""
+import asyncio
+from fastapi import APIRouter
+from pydantic import BaseModel, Field
+from app.plot.parser import parse_source
+from app.plot.render import render_svg
+from app.plot.model import PlotDiagnostic, StaticRenderResult
+
+router = APIRouter(prefix='/api/plots', tags=['Function Plot'])
+_slots = asyncio.Semaphore(2)
+
+class PlotRequest(BaseModel):
+    source: str = Field(max_length=20000)
+    theme_id: str = Field(default='light', max_length=100)
+
+class PlotResponse(BaseModel):
+    result: StaticRenderResult | None = None
+    diagnostics: list[PlotDiagnostic] = Field(default_factory=list)
+    node_count: int = 0
+
+def preview(request):
+    """同步解析并渲染函数图，供受并发限制的异步路由在线程中调用。"""
+    parsed = parse_source(request.source)
+    if parsed.plot is None:
+        return PlotResponse(diagnostics=parsed.diagnostics)
+    if parsed.plot.node_count > 8000:
+        return PlotResponse(node_count=parsed.plot.node_count, diagnostics=[PlotDiagnostic(
+            severity='error', code='PLOT_BUDGET_EXCEEDED', message='图表累计表达式节点超过 8000 上限')])
+    return PlotResponse(result=render_svg(parsed.plot, request.theme_id),
+                        diagnostics=parsed.diagnostics, node_count=parsed.plot.node_count)
+
+@router.post('/function', response_model=PlotResponse)
+async def render_function(request: PlotRequest):
+    # 绘图属于 CPU 密集任务，限制并发并移入线程，避免阻塞事件循环。
+    async with _slots:
+        return await asyncio.to_thread(preview, request)

backend/app/retrieval/engine.py

@@ -114,7 +114,14 @@ class RetrievalEngine:
         elif request.mode == SearchMode.vector:
             candidate_scores = vec_scores
         else:  # hybrid：RRF 融合
-            candidate_scores = rrf_fuse([fts_ranked, vec_ranked], k=request.rrf_k)
+            if request.fusion == 'weighted':
+                # 两路原始分值量纲不同，先各自归一化再等权融合，避免任一路分值范围支配结果。
+                fts_normal = dict(normalize_scores(list(fts_scores.items())))
+                vec_normal = dict(normalize_scores(list(vec_scores.items())))
+                candidate_scores = {bid: .5 * fts_normal.get(bid, 0) + .5 * vec_normal.get(bid, 0)
+                    for bid in dict.fromkeys(fts_ranked + vec_ranked)}
+            else:
+                candidate_scores = rrf_fuse([fts_ranked, vec_ranked], k=request.rrf_k)
 
         if not candidate_scores:
             return self._empty(request)

backend/app/routes.py

@@ -562,7 +562,7 @@ async def create_agent_run(request: AgentRunCreateRequest) -> AgentRun:
     tags=["Agent"],
 )
 async def get_agent_run(run_id: str) -> AgentRun:
-    return agent_run_or_404(run_id)
+    return await asyncio.to_thread(agent_run_or_404, run_id)
 
 
 @router.post(
@@ -571,7 +571,7 @@ async def get_agent_run(run_id: str) -> AgentRun:
     tags=["Agent"],
 )
 async def cancel_agent_run(run_id: str) -> OperationResponse:
-    agent_run_or_404(run_id)
+    await asyncio.to_thread(agent_run_or_404, run_id)
     run = await container.agent.cancel(run_id)
     return OperationResponse(
         status="completed",
@@ -596,7 +596,7 @@ async def agent_events(
     after_sequence: int | None = Query(default=None, ge=-1),
     last_event_id: str | None = Header(default=None, alias="Last-Event-ID"),
 ) -> StreamingResponse:
-    agent_run_or_404(run_id)
+    await asyncio.to_thread(agent_run_or_404, run_id)
     cursor = after_sequence
     if cursor is None and last_event_id is not None:
         try:
@@ -658,7 +658,7 @@ async def get_agent_trace(
 async def decide_agent_permission(
     run_id: str, request_id: str, request: PermissionDecisionRequest
 ) -> OperationResponse:
-    agent_run_or_404(run_id)
+    await asyncio.to_thread(agent_run_or_404, run_id)
     if not await container.agent.resolve_permission(run_id, request_id, request.decision):
         raise ApiError(
             404,
@@ -1547,6 +1547,11 @@ async def create_export(request: ExportRequest) -> ExportJob:
     return await export_service.create_export(request)
 
 
+@router.post("/exports/preview-resources", tags=["Export"])
+async def export_preview_resources(request: ExportRequest):
+    return await export_service.preview_resources(request)
+
+
 @router.get(
     "/exports",
     response_model=ExportJobListResponse,
@@ -1622,3 +1627,11 @@ async def get_global_persona():
 @router.put("/settings/persona", response_model=PersonaSettings, tags=["Settings"])
 async def put_global_persona(request: PersonaSettings):
     return save_persona(request)
+
+
+from app.contracts import AgentBenchmarkRequest
+from app.benchmarks import agent as agent_benchmark
+
+@router.post('/benchmarks/agent/runs', response_model=BenchmarkRun, status_code=202, tags=['Benchmark'])
+async def create_agent_benchmark(request: AgentBenchmarkRequest):
+    return await agent_benchmark.create_run(request)

backend/data/benchmarks/agent-core-v1.json

@@ -0,0 +1,89 @@
+{
+  "dataset_id": "agent-core-v1",
+  "kind": "agent",
+  "version": "1.0.0",
+  "description": "受限真实 Runtime 工具选择、参数、无需调用和 Markdown 目录基线；不等同于复杂任务验收",
+  "cases": [
+    {
+      "case_id": "arithmetic",
+      "prompt": "必须调用 math.add 计算 17 + 25，并报告结果。",
+      "allowed_tools": [
+        "math.add",
+        "system.echo"
+      ],
+      "expected_tools": [
+        {
+          "name": "math.add",
+          "arguments": {
+            "left": 17,
+            "right": 25
+          }
+        }
+      ],
+      "output_contains": [
+        "42"
+      ],
+      "tags": [
+        "tool-selection",
+        "arguments"
+      ]
+    },
+    {
+      "case_id": "echo",
+      "prompt": "调用 system.echo 原样回显字符串 phase2-check，然后回答原文。",
+      "allowed_tools": [
+        "math.add",
+        "system.echo"
+      ],
+      "expected_tools": [
+        {
+          "name": "system.echo",
+          "arguments": {
+            "text": "phase2-check"
+          }
+        }
+      ],
+      "output_contains": [
+        "phase2-check"
+      ],
+      "tags": [
+        "exact-arguments"
+      ]
+    },
+    {
+      "case_id": "no-tool",
+      "prompt": "不调用任何工具，只回答：验收就绪",
+      "allowed_tools": [
+        "math.add",
+        "system.echo"
+      ],
+      "expected_tools": [],
+      "output_contains": [
+        "验收就绪"
+      ],
+      "tags": [
+        "unnecessary-tools"
+      ]
+    },
+    {
+      "case_id": "markdown-catalog",
+      "prompt": "使用 markdown.catalog 查询支持的 Markdown 语法，指出函数图像围栏的名称。",
+      "allowed_tools": [
+        "markdown.catalog"
+      ],
+      "expected_tools": [
+        {
+          "name": "markdown.catalog",
+          "arguments": {}
+        }
+      ],
+      "output_contains": [
+        "function-plot"
+      ],
+      "tags": [
+        "markdown",
+        "integration"
+      ]
+    }
+  ]
+}

backend/data/benchmarks/corpus/phase2-v1.json

@@ -0,0 +1,18 @@
+{
+  "version": "1.0.0",
+  "description": "手工编写的中文工程笔记检索集；每篇含关键词与改写问法，混淆主题分别建篇。用于小规模质量对照，不代表生产分布。",
+  "notes": [
+    {"id":"deadlock","title":"死锁的必要条件","text":"死锁需要互斥、占有并等待、不可抢占、循环等待四个条件同时成立。规定所有线程按相同顺序申请锁，可以破坏循环等待条件。","queries":["死锁有哪些必要条件","几个线程各占一把锁并等待对方释放，怎样避免一直卡住"]},
+    {"id":"starvation","title":"饥饿与公平调度","text":"饥饿指某个任务长期得不到资源，即使其他任务仍能运行。优先级老化会逐渐提高等待任务的优先级；公平队列可以减少长期等待。饥饿不等于所有进程互相等待的死锁。","queries":["优先级老化怎样缓解饥饿","系统一直有任务在跑，但一个低优先级任务永远轮不到怎么办"]},
+    {"id":"rrf","title":"RRF 排名融合","text":"RRF 使用每个候选在各通道中的名次进行融合，单通道贡献为 1/(k+rank)。它避免直接比较全文检索与向量余弦相似度的原始分数。k 越大，头部名次的差距越平缓。","queries":["RRF 的融合公式是什么","全文分数和向量分数尺度不同，如何按排名合并结果"]},
+    {"id":"rerank","title":"召回后的重排","text":"重排只重新排列已召回的候选，不能找回不在候选池中的相关段落。扩大候选池可能提高质量，但会增加精排成本。LexicalReranker 根据词面重合打分，不是 Cross-Encoder 神经模型。","queries":["重排能否找回未召回的文档","精排前候选池太小会导致什么问题"]},
+    {"id":"optimistic","title":"笔记的乐观并发控制","text":"保存笔记时携带读取时的内容摘要。服务端比较当前摘要，若已变化则拒绝覆盖并报告冲突。用户应重新加载或合并修改，避免把另一个窗口的新内容静默覆盖。","queries":["保存时为什么比较内容摘要","两个窗口同时修改同一篇笔记，怎样避免后保存者覆盖新内容"]},
+    {"id":"idempotency","title":"重复提交的幂等键","text":"客户端为一次逻辑上传创建唯一幂等键。网络重试使用相同的键和内容，服务端返回原附件编号；同键不同内容必须拒绝，防止错误复用。新的逻辑上传使用新的键。","queries":["幂等键如何处理重复上传","上传成功但响应丢失，重试怎样不生成两个附件"]},
+    {"id":"sse","title":"事件流断线续读","text":"SSE 事件携带递增 sequence。客户端保存最后接收的序号，重连后请求后续事件并去重。终止事件只能出现一次；连接中断本身不代表后台任务被取消。","queries":["SSE 重连如何去重","页面断网后任务仍在运行，如何恢复之前错过的进度"]},
+    {"id":"cancel","title":"后台任务取消边界","text":"取消标志由运行循环和工具边界检查。排队任务可以立即结束；正在同步渲染的工作应在安全边界检查取消，并丢弃产物。取消后不能发布完成事件或允许下载未完成文件。","queries":["导出任务取消后怎样处理产物","用户停止渲染时工作线程还没返回，应当如何收尾"]},
+    {"id":"embedding","title":"向量空间隔离","text":"不同 Embedding 模型或维度产生的向量属于不同空间，不能直接比较。索引按模型、版本、维度隔离；切换模型后需要重建对应索引。向量不可用时的全文回退必须在报告中明确记录。","queries":["Embedding 模型切换后为什么要重建索引","两个模型生成的向量长度一样就能混着搜索吗"]},
+    {"id":"citation","title":"引用定位与块标识","text":"引用记录笔记编号、块编号以及起止偏移。点击引用可定位原文。候选搜索结果不等于回答实际引用的来源；引用质量需要核对正文标记对应的支持性内容。","queries":["引用如何定位到原文","搜索返回十段资料，是否都应该算作回答已引用的来源"]},
+    {"id":"zip","title":"ZIP 安装路径检查","text":"解压前检查每个条目的规范路径，拒绝绝对路径、父目录穿越、符号链接和超出解压大小预算的条目。安装完成保存包摘要，重启时复核，包被修改后重新审查。","queries":["ZIP 安装如何阻止路径穿越","扩展包里有指向安装目录外的文件名，为什么必须拒绝"]},
+    {"id":"plot","title":"函数图像的安全解析","text":"function-plot 围栏支持 y = x^2 和 y = sin(x)，可以设置 domain 和 range。解析器只允许数学语法，不执行任意代码。函数采样应限制表达式节点和求值次数，渐近线处断开曲线。","queries":["函数图像怎样处理渐近线","让用户输入公式绘图时如何避免执行任意程序"]}
+  ]
+}

backend/data/benchmarks/rag-phase2-v1.json

@@ -0,0 +1,368 @@
+{
+  "dataset_id": "rag-phase2-v1",
+  "kind": "rag",
+  "version": "1.0.0",
+  "description": "手工编写的中文工程笔记检索集；每篇含关键词与改写问法，混淆主题分别建篇。用于小规模质量对照，不代表生产分布。",
+  "cases": [
+    {
+      "case_id": "deadlock-0",
+      "query": "死锁有哪些必要条件",
+      "expected_note_ids": [
+        "note_894ec7d0760d0cd6"
+      ],
+      "expected_block_ids": [
+        "blk_748b1be4cee7cb9b"
+      ],
+      "citation_required": true,
+      "tags": [
+        "keyword",
+        "deadlock"
+      ]
+    },
+    {
+      "case_id": "deadlock-1",
+      "query": "几个线程各占一把锁并等待对方释放，怎样避免一直卡住",
+      "expected_note_ids": [
+        "note_894ec7d0760d0cd6"
+      ],
+      "expected_block_ids": [
+        "blk_748b1be4cee7cb9b"
+      ],
+      "citation_required": true,
+      "tags": [
+        "paraphrase",
+        "deadlock"
+      ]
+    },
+    {
+      "case_id": "starvation-0",
+      "query": "优先级老化怎样缓解饥饿",
+      "expected_note_ids": [
+        "note_da790c1c3b905f26"
+      ],
+      "expected_block_ids": [
+        "blk_d15c420ab15ba221"
+      ],
+      "citation_required": true,
+      "tags": [
+        "keyword",
+        "starvation"
+      ]
+    },
+    {
+      "case_id": "starvation-1",
+      "query": "系统一直有任务在跑，但一个低优先级任务永远轮不到怎么办",
+      "expected_note_ids": [
+        "note_da790c1c3b905f26"
+      ],
+      "expected_block_ids": [
+        "blk_d15c420ab15ba221"
+      ],
+      "citation_required": true,
+      "tags": [
+        "paraphrase",
+        "starvation"
+      ]
+    },
+    {
+      "case_id": "rrf-0",
+      "query": "RRF 的融合公式是什么",
+      "expected_note_ids": [
+        "note_1acd666aa1e79f96"
+      ],
+      "expected_block_ids": [
+        "blk_abe4534c5c35b694"
+      ],
+      "citation_required": true,
+      "tags": [
+        "keyword",
+        "rrf"
+      ]
+    },
+    {
+      "case_id": "rrf-1",
+      "query": "全文分数和向量分数尺度不同，如何按排名合并结果",
+      "expected_note_ids": [
+        "note_1acd666aa1e79f96"
+      ],
+      "expected_block_ids": [
+        "blk_abe4534c5c35b694"
+      ],
+      "citation_required": true,
+      "tags": [
+        "paraphrase",
+        "rrf"
+      ]
+    },
+    {
+      "case_id": "rerank-0",
+      "query": "重排能否找回未召回的文档",
+      "expected_note_ids": [
+        "note_df8b1e8216af7f9a"
+      ],
+      "expected_block_ids": [
+        "blk_064caf4b9c2e2518"
+      ],
+      "citation_required": true,
+      "tags": [
+        "keyword",
+        "rerank"
+      ]
+    },
+    {
+      "case_id": "rerank-1",
+      "query": "精排前候选池太小会导致什么问题",
+      "expected_note_ids": [
+        "note_df8b1e8216af7f9a"
+      ],
+      "expected_block_ids": [
+        "blk_064caf4b9c2e2518"
+      ],
+      "citation_required": true,
+      "tags": [
+        "paraphrase",
+        "rerank"
+      ]
+    },
+    {
+      "case_id": "optimistic-0",
+      "query": "保存时为什么比较内容摘要",
+      "expected_note_ids": [
+        "note_04142ad0124ae76d"
+      ],
+      "expected_block_ids": [
+        "blk_3f8c19cf88a03805"
+      ],
+      "citation_required": true,
+      "tags": [
+        "keyword",
+        "optimistic"
+      ]
+    },
+    {
+      "case_id": "optimistic-1",
+      "query": "两个窗口同时修改同一篇笔记，怎样避免后保存者覆盖新内容",
+      "expected_note_ids": [
+        "note_04142ad0124ae76d"
+      ],
+      "expected_block_ids": [
+        "blk_3f8c19cf88a03805"
+      ],
+      "citation_required": true,
+      "tags": [
+        "paraphrase",
+        "optimistic"
+      ]
+    },
+    {
+      "case_id": "idempotency-0",
+      "query": "幂等键如何处理重复上传",
+      "expected_note_ids": [
+        "note_cdc416a180e5099b"
+      ],
+      "expected_block_ids": [
+        "blk_b68f6945024f098d"
+      ],
+      "citation_required": true,
+      "tags": [
+        "keyword",
+        "idempotency"
+      ]
+    },
+    {
+      "case_id": "idempotency-1",
+      "query": "上传成功但响应丢失，重试怎样不生成两个附件",
+      "expected_note_ids": [
+        "note_cdc416a180e5099b"
+      ],
+      "expected_block_ids": [
+        "blk_b68f6945024f098d"
+      ],
+      "citation_required": true,
+      "tags": [
+        "paraphrase",
+        "idempotency"
+      ]
+    },
+    {
+      "case_id": "sse-0",
+      "query": "SSE 重连如何去重",
+      "expected_note_ids": [
+        "note_5cf7aef15e17bd32"
+      ],
+      "expected_block_ids": [
+        "blk_f6328254ea8624a1"
+      ],
+      "citation_required": true,
+      "tags": [
+        "keyword",
+        "sse"
+      ]
+    },
+    {
+      "case_id": "sse-1",
+      "query": "页面断网后任务仍在运行，如何恢复之前错过的进度",
+      "expected_note_ids": [
+        "note_5cf7aef15e17bd32"
+      ],
+      "expected_block_ids": [
+        "blk_f6328254ea8624a1"
+      ],
+      "citation_required": true,
+      "tags": [
+        "paraphrase",
+        "sse"
+      ]
+    },
+    {
+      "case_id": "cancel-0",
+      "query": "导出任务取消后怎样处理产物",
+      "expected_note_ids": [
+        "note_48f96c75ea97d552"
+      ],
+      "expected_block_ids": [
+        "blk_efa6b9f6210964c2"
+      ],
+      "citation_required": true,
+      "tags": [
+        "keyword",
+        "cancel"
+      ]
+    },
+    {
+      "case_id": "cancel-1",
+      "query": "用户停止渲染时工作线程还没返回，应当如何收尾",
+      "expected_note_ids": [
+        "note_48f96c75ea97d552"
+      ],
+      "expected_block_ids": [
+        "blk_efa6b9f6210964c2"
+      ],
+      "citation_required": true,
+      "tags": [
+        "paraphrase",
+        "cancel"
+      ]
+    },
+    {
+      "case_id": "embedding-0",
+      "query": "Embedding 模型切换后为什么要重建索引",
+      "expected_note_ids": [
+        "note_6e13fbe17c9f7a30"
+      ],
+      "expected_block_ids": [
+        "blk_dc2b0771ea50c3a4"
+      ],
+      "citation_required": true,
+      "tags": [
+        "keyword",
+        "embedding"
+      ]
+    },
+    {
+      "case_id": "embedding-1",
+      "query": "两个模型生成的向量长度一样就能混着搜索吗",
+      "expected_note_ids": [
+        "note_6e13fbe17c9f7a30"
+      ],
+      "expected_block_ids": [
+        "blk_dc2b0771ea50c3a4"
+      ],
+      "citation_required": true,
+      "tags": [
+        "paraphrase",
+        "embedding"
+      ]
+    },
+    {
+      "case_id": "citation-0",
+      "query": "引用如何定位到原文",
+      "expected_note_ids": [
+        "note_a0b8289f7f334952"
+      ],
+      "expected_block_ids": [
+        "blk_5eac426f6220ca29"
+      ],
+      "citation_required": true,
+      "tags": [
+        "keyword",
+        "citation"
+      ]
+    },
+    {
+      "case_id": "citation-1",
+      "query": "搜索返回十段资料，是否都应该算作回答已引用的来源",
+      "expected_note_ids": [
+        "note_a0b8289f7f334952"
+      ],
+      "expected_block_ids": [
+        "blk_5eac426f6220ca29"
+      ],
+      "citation_required": true,
+      "tags": [
+        "paraphrase",
+        "citation"
+      ]
+    },
+    {
+      "case_id": "zip-0",
+      "query": "ZIP 安装如何阻止路径穿越",
+      "expected_note_ids": [
+        "note_4a26a95db9b832fc"
+      ],
+      "expected_block_ids": [
+        "blk_ce08f371b1dcf2c5"
+      ],
+      "citation_required": true,
+      "tags": [
+        "keyword",
+        "zip"
+      ]
+    },
+    {
+      "case_id": "zip-1",
+      "query": "扩展包里有指向安装目录外的文件名，为什么必须拒绝",
+      "expected_note_ids": [
+        "note_4a26a95db9b832fc"
+      ],
+      "expected_block_ids": [
+        "blk_ce08f371b1dcf2c5"
+      ],
+      "citation_required": true,
+      "tags": [
+        "paraphrase",
+        "zip"
+      ]
+    },
+    {
+      "case_id": "plot-0",
+      "query": "函数图像怎样处理渐近线",
+      "expected_note_ids": [
+        "note_bfd65995af95a6a6"
+      ],
+      "expected_block_ids": [
+        "blk_c4644f51b0853ef2"
+      ],
+      "citation_required": true,
+      "tags": [
+        "keyword",
+        "plot"
+      ]
+    },
+    {
+      "case_id": "plot-1",
+      "query": "让用户输入公式绘图时如何避免执行任意程序",
+      "expected_note_ids": [
+        "note_bfd65995af95a6a6"
+      ],
+      "expected_block_ids": [
+        "blk_c4644f51b0853ef2"
+      ],
+      "citation_required": true,
+      "tags": [
+        "paraphrase",
+        "plot"
+      ]
+    }
+  ]
+}

backend/data/vault/功能演示/function-plot功能演示.md

@@ -0,0 +1,138 @@
+# function-plot 功能演示
+
+这份笔记展示函数图像的写法、编辑刷新、坐标设置和错误反馈。在 NotesAgent 中打开后，切换到「写作」查看图像；「源码」模式可查看和修改下面的代码块。
+
+## 1. 从一条抛物线开始
+
+`domain` 设置横轴范围，`range` 设置纵轴显示范围。`xlabel` 和 `ylabel` 设置坐标轴标签。
+
+```function-plot
+domain: -4, 4
+range: -2, 18
+xlabel: 横坐标 x
+ylabel: 函数值 y
+grid: true
+y = x^2
+```
+
+试着将 `y = x^2` 改为 `y = (x-1)^2 + 2`，观察顶点从 `(0, 0)` 移到 `(1, 2)`。修改后切回写作模式即可查看结果。
+
+## 2. 多函数同图
+
+一个代码块内每行写一个函数，曲线按顺序分配颜色，并显示对应图例。三角函数的输入单位是弧度。
+
+```function-plot
+domain: -6.2832, 6.2832
+range: -2.2, 2.2
+xlabel: x / 弧度
+ylabel: y
+y = sin(x)
+y = cos(x)
+y = 2sin(x)
+```
+
+将第三条函数改为 `y = sin(2x)`，比较振幅变化和周期变化。
+
+## 3. 隐式乘法与交点
+
+支持 `2x`、`2(x+1)`、`(x+1)(x-1)` 等写法。乘号也可以显式写成 `*`，幂可以使用 `^`。
+
+```function-plot
+domain: -3, 4
+range: -5, 12
+xlabel: x
+ylabel: y
+y = (x+1)(x-1)
+y = 2x + 1
+```
+
+两条曲线的交点满足 `x^2 - 1 = 2x + 1`，横坐标约为 `-0.732` 和 `2.732`。
+
+## 4. 指数、对数与参考直线
+
+支持常量 `e`、`pi`，以及 `exp`、`ln`、`log10` 等函数。这里把横轴限定在正数范围，保证对数有定义。
+
+```function-plot
+domain: -3, 3
+range: -3, 8
+xlabel: x
+ylabel: y
+y = exp(x)
+y = ln(x)
+y = x
+```
+
+超出纵轴显示范围的曲线会被裁切。把 `range` 改为 `-3, 22`，可以查看更完整的指数曲线。
+
+## 5. 绝对值与平方根
+
+```function-plot
+domain: -4, 4
+range: -0.5, 4.5
+xlabel: x
+ylabel: y
+y = abs(x)
+y = sqrt(abs(x))
+```
+
+这里用 `sqrt(abs(x))`，所以负半轴也有定义；它与 `sqrt(x)` 的定义域不同。
+
+## 6. 间断点与显示范围
+
+```function-plot
+domain: -5, 5
+range: -5, 5
+xlabel: x
+ylabel: y
+y = 1/x
+```
+
+`x = 0` 处无定义，图像应分成左右两支，而不是跨过间断点连线。可缩放或打开大图查看原点附近；曲线是有限采样的可视化，不代替数学定义。
+
+## 7. 关闭网格
+
+```function-plot
+domain: -6, 6
+range: -0.2, 1.2
+xlabel: x
+ylabel: y
+grid: false
+y = exp(-x^2/2)
+```
+
+将 `grid: false` 改为 `grid: true`，比较有无网格的效果。
+
+## 8. 错误反馈演示（故意写错）
+
+下面的 `sinn` 不是支持的函数名，预期显示错误诊断，不生成曲线。这是本节的演示内容。把它改为 `sin` 即可恢复图像；若希望导出一份没有错误警告的文档，请先修正这一行。
+
+```function-plot
+domain: -3.14, 3.14
+y = sinn(x)
+```
+
+## 交互与导出检查
+
+- 将鼠标移到图表区域，试用缩小、放大、重置和大图查看；只读预览也可切换源码。
+- 在窄窗口中横向滚动函数图，检查坐标刻度和右侧图例。
+- 依次切换 `light`、`dark`、`sepia`、`paper-moments`、`ocean-blue`、`midnight-purple`；社区主题需先安装并启用。检查背景、网格、文字和曲线的对比度。
+- 修改第一节函数后不保存，点击编辑器顶部「导出」，分别选择 HTML、PDF、DOCX，验证文件采用点击时的编辑内容。
+- HTML 保留支持的主题配色；PDF、DOCX 使用浅色打印样式。HTML 的函数图为 SVG，PDF 为矢量图，DOCX 为静态图片。
+
+## 写法速查
+
+| 项目    | 示例                                                |
+| ----- | ------------------------------------------------- |
+| 代码块语言 | `function-plot`                                   |
+| 函数表达式 | `y = x^2 + 2x + 1`                                |
+| 横轴范围  | `domain: -5, 5`                                   |
+| 纵轴范围  | `range: -2, 10`，省略时自动估计                           |
+| 坐标标签  | `xlabel: 时间`、`ylabel: 数值`                         |
+| 网格开关  | `grid: true` / `grid: false`                      |
+| 数学常量  | `pi`、`e`                                          |
+| 常用函数  | `sin`、`cos`、`tan`、`sqrt`、`abs`、`exp`、`ln`、`log10` |
+| 注释    | 单独一行以 `#` 开头                                      |
+
+范围端点使用数值，例如 `domain: -3.1416, 3.1416`；表达式中可以使用 `pi`。当前只绘制以 `x` 为自变量的二维函数，不支持任意脚本、参数曲线或三维曲面。
+
+每个图块最多 16 条表达式；每份导出文档最多 16 个函数图、累计 8000 个表达式节点。本文件包含 7 个正常示例和 1 个有意保留的错误示例。

backend/pyproject.toml

@@ -17,6 +17,8 @@ dependencies = [
     "referencing>=0.36,<1.0",
     "sqlite-vec>=0.1.9",
     "uvicorn[standard]>=0.35,<1.0",
+    "matplotlib>=3.9,<4",
+    "playwright>=1.55,<2",
 ]
 
 [dependency-groups]

backend/scripts/agent-task-stress.py

@@ -96,11 +96,13 @@ async def main(output):
                 assert all(sequences)
                 recovered = AgentRuntime(container.providers, container.tools, container.permissions,
                                          trace_repository=runtime.trace_repository)
-                assert all(recovered.get_run(run_id).status == AgentRunStatus.completed for run_id in ids)
+                recovery_started = time.perf_counter()
+                assert await asyncio.to_thread(lambda: all(recovered.get_run(run_id).status == AgentRunStatus.completed for run_id in ids))
+                recovery_read_ms = (time.perf_counter() - recovery_started) * 1000
                 assert not any(record.subscribers for record in runtime._records.values())
                 return {"concurrency": concurrency, "runs": len(ids), "latency": stats(durations),
                         "completed": statuses.count('completed'), "ordered_events_and_replay": True,
-                        "terminal_recovery": True, "retained_records": len(runtime._records)}
+                        "terminal_recovery": True, "recovery_read_ms": round(recovery_read_ms,2), "retained_records": len(runtime._records)}
             save('agent_tool_runs', await measured(batch))
 
         # Hold model calls so all 200 records remain active while testing admission.

backend/scripts/phase2-context.py

@@ -0,0 +1,50 @@
+"""执行两次有界真实调用完成上下文摘要与回答，不修改已保存配置。"""
+import argparse, asyncio, json, sys
+from pathlib import Path
+sys.path.insert(0,str(Path(__file__).resolve().parents[1]))
+async def main(args):
+    from app.container import container
+    from app.contracts import ModelRequest, ModelContextPolicy
+    from app.providers.factory import ProviderFactory
+    from app.providers.context_budget import prepare_context, estimate
+    from app.providers.base import ProviderError
+    from app.services.usage_service import connection
+    provider=container.providers.get(args.provider)
+    model=provider.config.default_model
+    request=ModelRequest(provider_id=args.provider,model=model,max_tokens=1024,messages=[
+        {'role':'user','content':'项目事实：笔记保存在 Vault，导出使用点击时的快照。'*50},
+        {'role':'assistant','content':'已记录。'}, {'role':'user','content':'请保持中文。'},
+        {'role':'assistant','content':'好的。'}, {'role':'user','content':'笔记保存在什么地方？一句话回答。'}])
+    original=request.model_dump()
+    config=provider.config.model_copy(deep=True)
+    config.context_policies=[ModelContextPolicy(model=model,context_window=8192,output_reserve=512,threshold=.1,mode='detect')]
+    calls=0
+    async def complete(value):
+        nonlocal calls
+        calls+=1
+        return await provider.adapter.complete(value)
+    results={'model':model,'configured_test_window':8192,'vendor_max_context_tested':False}
+    try:
+        try: await prepare_context(request,config,complete)
+        except ProviderError as exc: results['detect']={'error_code':exc.code,'network_calls':calls}
+        config.context_policies[0].mode='compress'
+        config.context_policies[0].prompt='把以下历史资料压缩成一句中文，只保留笔记存储位置和导出快照规则。'
+        prepared=await asyncio.wait_for(prepare_context(request,config,complete),60)
+        turn=await asyncio.wait_for(complete(prepared),60)
+        results['compression']={'passed':'vault' in (turn.text or '').lower(),'before_estimate':estimate(request),
+            'after_estimate':estimate(prepared),'archive_unchanged':request.model_dump()==original,'network_calls':calls,
+            'answer_input_tokens':turn.input_tokens,'answer_output_tokens':turn.output_tokens}
+        with connection() as conn:
+            rows=[json.loads(row[0]) for row in conn.execute('SELECT counters_json FROM model_usage WHERE provider_id=?',(args.provider,))]
+        results['observed_provider_cache']={'requests':len(rows),'reporting_requests':sum(x.get('cache_hit_tokens') is not None for x in rows),
+            'positive_hit_requests':sum((x.get('cache_hit_tokens') or 0)>0 for x in rows),
+            'positive_miss_requests':sum((x.get('cache_miss_tokens') or 0)>0 for x in rows),
+            'scope':'provider reported usage across this isolated acceptance session; not deterministic cache control'}
+    finally:
+        args.output.write_text(json.dumps(results,ensure_ascii=False,indent=2),encoding='utf-8')
+        print(json.dumps(results,ensure_ascii=False))
+        await container.agent.shutdown();container.mcp_servers.shutdown();container.plugins.shutdown()
+if __name__=='__main__':
+    p=argparse.ArgumentParser();p.add_argument('--provider',required=True);p.add_argument('--output',type=Path,required=True);p.add_argument('--execute',action='store_true');args=p.parse_args()
+    if not args.execute:p.error('--execute required; two requests use existing quota')
+    asyncio.run(main(args))

backend/scripts/phase2-integration.py

@@ -0,0 +1,56 @@
+"""显式隔离演示：检索、读取、创建三个任务，再调用真实只读 MCP。
+
+只批准本次运行产生的 tasks.write 权限票据，需要质量验收用 Vault。
+脚本仅调用公共 API 契约，不把伪造的完成状态写入 SQLite。
+"""
+import argparse, json, time
+from pathlib import Path
+from urllib.request import Request,urlopen
+
+def main(args):
+    def api(path,body=None):
+        req=Request(args.base_url+'/api'+path,data=json.dumps(body).encode() if body is not None else None,
+                    headers={'Content-Type':'application/json'})
+        with urlopen(req,timeout=60) as response:return json.load(response)
+    directory=args.data_dir.resolve()
+    if not (directory/'vault/.phase2-fixture').exists():raise SystemExit('Isolated fixture Vault required')
+    core=json.loads((directory/'benchmarks/rag-phase2-v1.json').read_text(encoding='utf-8'))
+    note=next(c for c in core['cases'] if c['case_id']=='deadlock-0')['expected_note_ids'][0]
+    cases=[{'case_id':'retrieval-tasks','prompt':f'按顺序执行：1. 用 rag.search 搜索“死锁”，明确使用 mode=fts；2. 用 notes.read 读取笔记 {note}；3. 根据内容用 tasks.create 分别创建且仅创建三个任务，标题严格为“验收-互斥条件”、“验收-循环等待”、“验收-锁顺序”；4. 总结死锁条件并引用搜索来源。请不要调用其他工具，不重复创建。',
+        'allowed_tools':['rag.search','notes.read','tasks.create'],
+        'expected_tools':[{'name':'rag.search','arguments':{'query':'死锁','mode':'fts'}},{'name':'notes.read','arguments':{'note_id':note}}]+
+            [{'name':'tasks.create','arguments':{'title':title}} for title in ['验收-互斥条件','验收-循环等待','验收-锁顺序']],
+        'citation_required':True,'tasks_created':3,'output_contains':['死锁'],'tags':['rag','notes','tasks','permissions']}]
+    tools=api('/tools')['items']; mcp=next((t for t in tools if t['name'].endswith('.web_search') and t['name'].startswith('mcp.')),None)
+    if mcp:
+        cases.append({'case_id':'mcp-search','prompt':f'调用一次 {mcp["name"]}，query 严格使用 Python official documentation tutorial。根据工具真实返回给出一句总结。',
+            'allowed_tools':[mcp['name']], 'expected_tools':[{'name':mcp['name'],'arguments':{'query':'Python official documentation tutorial'}}], 'tags':['mcp','real-network']})
+    dataset={'dataset_id':'agent-integration-v1','kind':'agent','version':'1.0.0','description':'Isolated phase2 cross-module Demo; existing MCP binding captured','cases':cases}
+    (directory/'benchmarks/agent-integration-v1.json').write_text(json.dumps(dataset,ensure_ascii=False,indent=2),encoding='utf-8')
+    providers=api('/providers')['items']; provider=next(p for p in providers if p['enabled'] and p['provider_type']!='mock')
+    run=api('/benchmarks/agent/runs',{'dataset_id':dataset['dataset_id'],'provider_id':provider['provider_id'],'model':provider['default_model'],
+        'max_steps':10,'timeout_seconds':150,'token_budget':10000,'allow_network':True})
+    approved=set();deadline=time.monotonic()+360
+    while run['status'] in ['queued','running']:
+        if time.monotonic()>deadline:
+            api('/benchmarks/runs/'+run['run_id']+'/cancel',{});raise RuntimeError('Demo deadline')
+        active=run['config_snapshot'].get('active_agent_run_id')
+        if active:
+            trace=api('/agent/runs/'+active+'/trace')
+            for event in trace['items']:
+                data=event['data'];ticket=data.get('request_id')
+                if event['event']=='PermissionRequired' and data.get('permission')=='tasks.write' and ticket not in approved:
+                    api('/agent/runs/'+active+'/permissions/'+ticket,{'decision':'allow_once'});approved.add(ticket)
+        time.sleep(.3);run=api('/benchmarks/runs/'+run['run_id'])
+    report=api('/benchmarks/runs/'+run['run_id']+'/report')
+    report['permission_approvals']=len(approved)
+    report['mcp_present']=bool(mcp)
+    report['tasks']= [{'task_id':t['task_id'],'title':t['title']} for t in api('/tasks')['items'] if t['title'].startswith('验收-')]
+    args.output.write_text(json.dumps(report,ensure_ascii=False,indent=2),encoding='utf-8')
+    print(json.dumps({'metrics':report['metrics'],'cases':report['cases'],'permission_approvals':len(approved)},ensure_ascii=False))
+
+if __name__=='__main__':
+    p=argparse.ArgumentParser();p.add_argument('--base-url',default='http://127.0.0.1:8017');p.add_argument('--data-dir',type=Path,required=True);p.add_argument('--output',type=Path,required=True);p.add_argument('--execute',action='store_true');args=p.parse_args()
+    if not args.execute:p.error('--execute required; creates three tasks only in the isolated fixture application')
+    if args.base_url not in {'http://127.0.0.1:8017','http://localhost:8017'}:p.error('Use the isolated local acceptance server on port 8017')
+    main(args)

backend/scripts/phase2-live.py

@@ -0,0 +1,64 @@
+"""使用现有配置执行有界的真实协议与 Agent 检查，不输出凭据。
+
+必须显式传入 --execute；最多发起 5 次直接模型请求和一组 4 样本 Agent 评测，
+每个样本最多 6 步、6000 Token。不创建配置，也不执行外部写入。
+"""
+import argparse, asyncio, json, sys
+from pathlib import Path
+from time import perf_counter
+sys.path.insert(0,str(Path(__file__).resolve().parents[1]))
+
+async def main(args):
+    from app.container import container
+    from app.contracts import ModelRequest, AgentBenchmarkRequest
+    from app.providers.base import ProviderError
+    from app.benchmarks import agent,service
+    provider=container.providers.get(args.provider)
+    adapter=provider.adapter; model=provider.config.default_model
+    results={'provider_id':args.provider,'protocol':provider.config.provider_type.value,'model':model,'checks':{},
+        'unconfigured_protocols':['openai_responses','anthropic_messages','ollama'],
+        'not_tested':['provider_context_limit','cache_hit_miss','context_compression'],'max_direct_requests':5}
+    def request(prompt='Reply OK only.', **changes):
+        return ModelRequest(provider_id=args.provider,model=model,messages=[{'role':'user','content':prompt}],max_tokens=128,**changes)
+    async def check(name, fn):
+        started=perf_counter()
+        try: results['checks'][name]=await asyncio.wait_for(fn(),60)
+        except ProviderError as exc: results['checks'][name]={'passed':False,'error_code':exc.code}
+        except Exception as exc: results['checks'][name]={'passed':False,'error_type':type(exc).__name__}
+        results['checks'][name]['elapsed_ms']=round((perf_counter()-started)*1000,2)
+        print(name,results['checks'][name],flush=True)
+    async def discover():
+        models=await adapter.list_models();return {'passed':bool(models),'count':len(models)}
+    async def complete():
+        turn=await adapter.complete(request());return {'passed':bool(turn.text),'input_tokens':turn.input_tokens,'output_tokens':turn.output_tokens}
+    async def stream():
+        events=[e async for e in adapter.stream(request())]
+        names=[e.event.value for e in events]
+        return {'passed':names.count('Done')==1 and 'TextDelta' in names,'events':sorted(set(names)),
+                'usage_reported':'Usage' in names,'reasoning_observed':'ThinkingDelta' in names}
+    async def cancel():
+        iterator=adapter.stream(request('List the integers 1 through 1000.'))
+        first=await anext(iterator);started=perf_counter();await iterator.aclose()
+        return {'passed':True,'first_event':first.event.value,'close_ms':(perf_counter()-started)*1000,
+                'scope':'client stream resource close; provider billing cessation not observable'}
+    async def invalid_model():
+        try: await adapter.complete(request().model_copy(update={'model':'notesagent-nonexistent-acceptance-model'}))
+        except ProviderError as exc:return {'passed':True,'error_code':exc.code}
+        return {'passed':False,'reason':'provider accepted unknown model'}
+    try:
+        for name,fn in [('discovery',discover),('normal_chat',complete),('stream_usage_reasoning',stream),('stream_cancel',cancel),('error_mapping',invalid_model)]:await check(name,fn)
+        created=await agent.create_run(AgentBenchmarkRequest(dataset_id='agent-core-v1',provider_id=args.provider,model=model))
+        await service.wait_for_run(created.run_id)
+        results['agent']=service.get_report(created.run_id).model_dump(mode='json')
+        print('agent',results['agent']['metrics'],flush=True)
+        servers=container.mcp_servers.list()
+        results['mcp']=[{'server_id':s.server_id,'name':s.name,'state':s.status.value if hasattr(s.status,'value') else s.status} for s in servers]
+    finally:
+        args.output.parent.mkdir(parents=True,exist_ok=True)
+        args.output.write_text(json.dumps(results,ensure_ascii=False,indent=2,default=str),encoding='utf-8')
+        await container.agent.shutdown();container.mcp_servers.shutdown();container.plugins.shutdown()
+
+if __name__=='__main__':
+    p=argparse.ArgumentParser();p.add_argument('--provider',required=True);p.add_argument('--output',type=Path,required=True);p.add_argument('--execute',action='store_true');args=p.parse_args()
+    if not args.execute:p.error('--execute required; uses existing provider quota')
+    asyncio.run(main(args))

backend/scripts/phase2-quality.py

@@ -0,0 +1,69 @@
+"""在显式隔离的 APP_DATA_DIR 中执行可复现的真实模型质量验证。
+
+使用应用自身的索引与评测服务，不注入向量或伪造完成记录。
+运行前必须已有本地权重和运行环境，推理过程不会下载模型。
+"""
+import argparse
+import asyncio
+import hashlib
+import json
+import os
+import sys
+from pathlib import Path
+from datetime import datetime, timezone
+sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
+
+async def main(args):
+    from app.config import get_settings
+    from app.knowledge.parser import parse_note
+    from app.services import index_service
+    from app.benchmarks import service
+    from app.contracts import IndexRebuildRequest, RAGRunRequest
+    settings=get_settings()
+    if not all(os.getenv(name) for name in ['APP_DATA_DIR','APP_DB_PATH','APP_VAULT_PATH']):
+        raise SystemExit('Explicit isolated APP_DATA_DIR/APP_DB_PATH/APP_VAULT_PATH required')
+    fixture=Path(__file__).resolve().parents[1]/'data/benchmarks/corpus/phase2-v1.json'
+    payload=json.loads(fixture.read_text(encoding='utf-8')); cases=[]
+    settings.vault_path.mkdir(parents=True,exist_ok=True)
+    if list(settings.vault_path.glob('*.md')) and not (settings.vault_path/'.phase2-fixture').exists():
+        raise SystemExit('Refusing to overwrite a non-fixture vault')
+    now=datetime(2026,9,7,tzinfo=timezone.utc)
+    for note in payload['notes']:
+        name=note['id']+'.md'; markdown='# '+note['title']+'\n\n'+note['text']+'\n'
+        (settings.vault_path/name).write_text(markdown,encoding='utf-8')
+        parsed=parse_note(markdown=markdown,file_path=name,folder='',created_at=now,updated_at=now)
+        for index,query in enumerate(note['queries']):
+            cases.append({'case_id':note['id']+'-'+str(index),'query':query,'expected_note_ids':[parsed.note_id],
+                'expected_block_ids':[parsed.blocks[-1].block_id],'citation_required':True,
+                'tags':['keyword' if index==0 else 'paraphrase',note['id']]})
+    (settings.vault_path/'.phase2-fixture').touch()
+    dataset={'dataset_id':'rag-phase2-v1','kind':'rag','version':payload['version'],'description':payload['description'],'cases':cases}
+    settings.benchmark_datasets_path.mkdir(parents=True,exist_ok=True)
+    (settings.benchmark_datasets_path/'rag-phase2-v1.json').write_text(json.dumps(dataset,ensure_ascii=False,indent=2),encoding='utf-8')
+    if not args.reuse_index:
+        job=await index_service.rebuild(IndexRebuildRequest())
+        if job.status != 'completed': raise RuntimeError('Index did not complete: '+str(job.status))
+    from app import repository
+    expected_blocks = {bid for case in cases for bid in case['expected_block_ids']}
+    if {hit.block_id for hit in repository.get_block_hits(list(expected_blocks))} != expected_blocks:
+        raise RuntimeError('Frozen corpus does not match the index; rerun without --reuse-index')
+    reports={}
+    for label, mode, fusion, rerank, k in [('fts','fts','rrf',False,60),('vector','vector','rrf',False,60),
+        ('hybrid-weighted','hybrid','weighted',False,60),('hybrid-rrf','hybrid','rrf',False,60),
+        ('hybrid-rerank','hybrid','rrf',True,60),('rrf-k20','hybrid','rrf',False,20)]:
+        run=await service.create_rag_run(RAGRunRequest(dataset_id='rag-phase2-v1',modes=[mode],repeat=2,
+            retrieval={'top_k':5,'fusion':fusion,'rerank':rerank,'rrf_k':k,'rerank_candidates':20},
+            metadata={'corpus_sha256':hashlib.sha256(fixture.read_bytes()).hexdigest(),'split':'development; no held-out production claim'}))
+        await service.wait_for_run(run.run_id)
+        reports[label]=service.get_report(run.run_id).model_dump(mode='json')
+        print(label, json.dumps(reports[label]['metrics']),flush=True)
+        args.output.parent.mkdir(parents=True,exist_ok=True)
+        args.output.write_text(json.dumps(reports,ensure_ascii=False,indent=2),encoding='utf-8')
+    args.output.parent.mkdir(parents=True,exist_ok=True)
+    args.output.write_text(json.dumps(reports,ensure_ascii=False,indent=2),encoding='utf-8')
+    from app.container import container
+    await container.agent.shutdown(); container.mcp_servers.shutdown(); container.plugins.shutdown()
+
+if __name__=='__main__':
+    parser=argparse.ArgumentParser(); parser.add_argument('--output',type=Path,required=True); parser.add_argument('--reuse-index',action='store_true')
+    asyncio.run(main(parser.parse_args()))

backend/tests/test_export.py

@@ -321,7 +321,7 @@ def test_pdf_exporter_embeds_function_plot_and_marks_mermaid() -> None:
     # function_plot 已内嵌为矢量图，不再产生「函数图像占位」warning
     assert not any("函数图像" in w for w in result.warnings)
     # 绘图用 STSong-Light 渲染刻度/标签，字体应嵌入 PDF
-    assert b"STSong-Light" in result.content
+    assert b"STSong-Light" in result.content or b"/FontFile2" in result.content
 
 
 def test_pdf_exporter_function_plot_fallback_on_error() -> None:
@@ -334,17 +334,16 @@ def test_pdf_exporter_function_plot_fallback_on_error() -> None:
     assert any("函数图像" in w for w in result.warnings)
 
 
-def test_pdf_exporter_limits_function_plot_count() -> None:
+def test_pdf_exporter_has_no_function_plot_count_quota() -> None:
     from app.export.exporters.pdf import PdfExporter
 
     blocks = "\n\n".join("```function-plot\ny = x\n```" for _ in range(20))
     result = asyncio.run(PdfExporter().export(parse_document(blocks), ExportOptions()))
     assert result.content[:4] == b"%PDF"
-    # 超出数量上限的图块回退占位并记 warning
+    assert not any("函数图像" in w for w in result.warnings)
-    assert any("数量超过上限" in w for w in result.warnings)
 
 
-def test_pdf_exporter_limits_total_plot_nodes(monkeypatch) -> None:
+def test_pdf_exporter_has_no_total_plot_node_quota(monkeypatch) -> None:
     import app.export.exporters._common as common_mod
     from app.export.exporters.pdf import PdfExporter
 
@@ -352,17 +351,20 @@ def test_pdf_exporter_limits_total_plot_nodes(monkeypatch) -> None:
     md = "```function-plot\ny = x\n```\n\n```function-plot\ny = x + x + x + x\n```"
     result = asyncio.run(PdfExporter().export(parse_document(md), ExportOptions()))
     assert result.content[:4] == b"%PDF"
-    assert any("累计复杂度" in w for w in result.warnings)
+    assert not any("函数图像" in w for w in result.warnings)
 
 
-def test_docx_exporter_marks_plot_and_mermaid_as_placeholders() -> None:
+def test_docx_exporter_embeds_plot_and_warns_missing_mermaid() -> None:
     from app.export.exporters.docx import DocxExporter
 
     md = "```mermaid\ngraph LR\n```\n\n```function_plot\ny = x\n```"
     result = asyncio.run(DocxExporter().export(parse_document(md), ExportOptions()))
     assert result.content[:2] == b"PK"
     assert any("mermaid" in w for w in result.warnings)
-    assert any("函数图像" in w for w in result.warnings)
+    from zipfile import ZipFile
+    from io import BytesIO
+    with ZipFile(BytesIO(result.content)) as archive:
+        assert any(name.startswith('word/media/') for name in archive.namelist())
 
 
 def test_pdf_exporter_embeds_cjk_font() -> None:
@@ -373,7 +375,7 @@ def test_pdf_exporter_embeds_cjk_font() -> None:
     result = asyncio.run(PdfExporter().export(doc, ExportOptions(include_title=True)))
     assert result.content[:4] == b"%PDF"
     # 中文字体通过 STSong-Light CID 字体嵌入，PDF 内应引用该 BaseFont
-    assert b"STSong-Light" in result.content
+    assert b"STSong-Light" in result.content or b"/FontFile2" in result.content
 
 
 def test_docx_exporter_contains_cjk_text() -> None:
@@ -828,7 +830,8 @@ def test_callout_formats(name):
         xml = z.read("word/document.xml").decode()
     assert all(word in xml for word in ["Title", "Body", "item", "second", "w:shd"])
     result = PdfExporter().render(doc, ExportOptions(theme_id="sepia"))
-    assert result.content.startswith(b"%PDF") and len(result.warnings) == 1
+    assert result.content.startswith(b"%PDF")
+    assert not any("浅色打印" in warning for warning in result.warnings)
 
 
 @pytest.mark.parametrize("fold", ["", "+", "-"])

backend/tests/test_pdf_browser.py

@@ -0,0 +1,68 @@
+import asyncio
+from pathlib import Path
+import pytest
+from app.contracts import ExportRequest
+from app.export import service
+from app.export.document import ExportResult
+from app.export.browser_pdf import render_snapshot, browser_executable
+
+
+def test_browser_snapshot_uses_print_pipeline(monkeypatch):
+    calls=[]
+    def render(html,size):
+        calls.append((html,size));return ExportResult(content=b'%PDF-browser',mime_type='application/pdf')
+    monkeypatch.setattr('app.export.browser_pdf.render_snapshot',render)
+    monkeypatch.setattr(service,'parse_document',lambda _:pytest.fail('Browser snapshots must not be reparsed by ReportLab'))
+    async def run():
+        request=ExportRequest(format='pdf',source={'type':'markdown','markdown':'snapshot'},print_html='<style>h1::before{content:"tape"}</style><h1>Note</h1>')
+        job=await service.create_export(request);done=await service.wait_for_export(job.job_id)
+        assert done.status.value=='completed'
+        assert calls==[(request.print_html,'A4')]
+    asyncio.run(run())
+
+
+def test_preview_resources_keeps_vault_boundary_and_plot_quota_removed():
+    async def run():
+        source='![outside](../../private.png)\n\n```function-plot\n'+'\n'.join(f'y=x+{i}' for i in range(17))+'\n```'
+        resources=await service.preview_resources(ExportRequest(format='pdf',source={'type':'markdown','markdown':source}))
+        assert resources['images'][0]['data'] is None
+        assert resources['images'][0]['warnings']
+        assert resources['plots'][0]['svg'].startswith('<svg')
+    asyncio.run(run())
+
+
+@pytest.mark.skipif(browser_executable() is None,reason='No installed Chromium browser')
+def test_browser_prints_css_without_executing_document_scripts(tmp_path):
+    # 若脚本被执行会清空正文；测试同时确认 CSS/字体可用且网络、文件资源保持禁用。
+    html='<style>h1{color:#875343;font-size:37px} h1::before{content:"Theme "}</style><h1>Snapshot</h1><script>document.body.innerHTML="EXECUTED"</script><img src="file:///private.png">'
+    result=render_snapshot(html,'A4')
+    assert result.content.startswith(b'%PDF')
+    assert b'/Subtype /Type0' in result.content or b'/Type /Font' in result.content
+    import shutil, subprocess
+    if shutil.which('pdftotext'):
+        pdf=tmp_path/'snapshot.pdf'; pdf.write_bytes(result.content)
+        text=subprocess.check_output(['pdftotext',str(pdf),'-']).decode('utf-8')
+        assert 'Theme Snapshot' in text
+        assert 'EXECUTED' not in text
+
+
+@pytest.mark.parametrize('source', ['<div><IMG SRC="assets/a&amp;b.png"></div>', 'inline <img src="assets/a&amp;b.png"/> image'])
+def test_preview_embeds_html_images(source):
+    from app.config import get_settings
+    from PIL import Image
+    import base64
+    folder=get_settings().vault_path/'notes'/'assets'
+    folder.mkdir(parents=True)
+    Image.new('RGBA',(2,2),(10,20,30,128)).save(folder/'a&b.png')
+    resources=asyncio.run(service.preview_resources(ExportRequest(format='pdf',source={'type':'markdown','markdown':source,'file_path':'notes/test.md'})))
+    image=resources['images'][0]
+    assert image['source']=='assets/a&b.png'
+    assert base64.b64decode(image['data'].split(',')[1]).startswith(b'\x89PNG')
+    assert image['warnings']==[]
+
+
+def test_html_images_keep_path_validation_and_code_is_not_an_image():
+    source='<img src="../../private.png">\n\ninline <img src="https://example.com/a.png">\n\n`<img src="code.png">`\n\n```html\n<img src="fenced.png">\n```'
+    resources=asyncio.run(service.preview_resources(ExportRequest(format='pdf',source={'type':'markdown','markdown':source})))
+    assert [image['source'] for image in resources['images']]==['../../private.png','https://example.com/a.png']
+    assert all(image['data'] is None and image['warnings'] for image in resources['images'])

backend/tests/test_pdf_theme_resources.py

@@ -0,0 +1,96 @@
+"""PDF theme and resource policy regressions; no real providers or user files."""
+import asyncio
+import base64
+from io import BytesIO
+import pytest
+from PIL import Image
+from pydantic import ValidationError
+from app.contracts import ExportAsset, ExportOptions, ExportRequest
+from app.export.assets import validate_assets, enrich_document, source_hash
+from app.export.exporters.pdf import PdfExporter
+from app.export.markdown import parse_document
+from app.export.themes import PALETTES
+from app.export import service
+
+
+def png_asset(size=(40,30), source='graph LR; A-->B'):
+    out=BytesIO(); Image.new('RGBA',size,(0,0,0,0)).save(out,'PNG')
+    return ExportAsset(kind='mermaid',source_hash=source_hash(source),png_base64=base64.b64encode(out.getvalue()).decode())
+
+
+@pytest.mark.parametrize('theme',list(PALETTES))
+def test_pdf_theme_colors_are_written_on_every_page(theme):
+    import re, zlib
+    palette=PALETTES[theme]
+    doc=parse_document(('## Section\n\nText body\n\n> Quoted text\n\n```python\nprint(1)\n```\n\n')*30)
+    result=PdfExporter().render(doc,ExportOptions(theme_id=theme))
+    streams=[]
+    for match in re.finditer(rb'stream\r?\n(.*?)endstream',result.content,re.S):
+        try: streams.append(zlib.decompress(base64.a85decode(match[1].strip().removesuffix(b'~>'))))
+        except Exception: pass
+    from reportlab.lib.rl_accel import fp_str
+    command=(fp_str(*[int(palette[0][i:i+2],16)/255 for i in (1,3,5)])+' rg').encode()
+    pages=[s for s in streams if b'BT' in s and b'/F' in s]
+    assert len(pages)>1
+    assert all(command in s for s in pages)
+    assert not any('浅色打印' in w for w in result.warnings)
+
+
+def test_pdf_accepts_asset_contract_beyond_previous_count_and_size():
+    assets=[png_asset(source=str(i)) for i in range(65)]
+    assets[0]=assets[0].model_copy(update={'png_base64':'A'*2800004})
+    values=dict(source={'type':'markdown','markdown':'content'},assets=assets)
+    ExportRequest(format='pdf',**values)
+    with pytest.raises(ValidationError): ExportRequest(format='html',**values)
+    with pytest.raises(ValidationError): ExportRequest(format='docx',**values)
+
+
+def test_pdf_large_png_still_requires_valid_format():
+    asset=png_asset((2100,2000))
+    assert validate_assets([asset],unlimited=True)
+    with pytest.raises(Exception): validate_assets([asset])
+    with pytest.raises(Exception): validate_assets([asset.model_copy(update={'png_base64':'invalid'})],unlimited=True)
+
+
+def test_pdf_embeds_more_than_64_resources_with_theme_background():
+    doc=parse_document(('```mermaid\ngraph LR; A-->B\n```\n\n')*65)
+    from app.export.assets import attach_assets
+    attach_assets(doc,validate_assets([png_asset()],unlimited=True))
+    assert not enrich_document(doc,unlimited=True,options=ExportOptions(theme_id='dark'))
+    assert all('static_png' in node.attributes for node in doc.children)
+    with Image.open(BytesIO(doc.children[-1].attributes['static_png'])) as image:
+        assert image.getpixel((0,0)) == (13,17,23)
+    assert PdfExporter().render(doc,ExportOptions(theme_id='dark')).content.startswith(b'%PDF')
+
+
+def test_pdf_pipeline_ignores_source_and_output_quotas(monkeypatch):
+    monkeypatch.setattr(service,'MAX_MARKDOWN_CHARS',8)
+    monkeypatch.setattr(service,'MAX_EXPORT_BYTES',8)
+    async def run():
+        job=await service.create_export(ExportRequest(format='pdf',source={'type':'markdown','markdown':'Beyond the previous quota.'}))
+        done=await service.wait_for_export(job.job_id)
+        assert done.status.value=='completed'
+        assert service.get_export_file(job.job_id).stat().st_size>8
+        with pytest.raises(Exception):
+            await service.create_export(ExportRequest(format='html',source={'type':'markdown','markdown':'Beyond the previous quota.'}))
+    asyncio.run(run())
+
+
+def test_pdf_accepts_more_than_16_curves_and_keeps_expression_safety():
+    doc=parse_document('```function-plot\n'+'\n'.join(f'y=x+{i}' for i in range(17))+'\n```')
+    result=PdfExporter().render(doc,ExportOptions(theme_id='dark'))
+    assert not any('函数图像' in w for w in result.warnings)
+    unsafe=PdfExporter().render(parse_document('```function-plot\ny=__import__("os")\n```'),ExportOptions())
+    assert any('函数图像' in w for w in unsafe.warnings)
+
+
+def test_pdf_custom_palette_and_math_color():
+    palette=dict(zip(('page','surface','text','muted','code','border','accent'),PALETTES['midnight-purple']))
+    options=ExportOptions(theme_id='my-theme',palette=palette)
+    doc=parse_document('Formula $x^2$')
+    assert not enrich_document(doc,unlimited=True,options=options)
+    math=next(n for n in doc.children[0].children if n.type=='math_inline')
+    with Image.open(BytesIO(math.attributes['static_png'])) as image:
+        assert image.getpixel((0,0))==(25,19,34)
+    assert not any('主题' in w for w in PdfExporter().render(doc,options).warnings)
+    with pytest.raises(ValidationError): ExportOptions(palette={**palette,'text':'url(file:///private)'})

backend/tests/test_phase2_completion.py

@@ -0,0 +1,199 @@
+import asyncio
+import base64
+import json
+from io import BytesIO
+from zipfile import ZipFile
+from pathlib import Path
+import pytest
+from PIL import Image
+from app.contracts import ExportAsset, ExportRequest, AgentBenchmarkRequest, BenchmarkStatus
+from app.export import service as exports
+from app.export.assets import validate_assets, source_hash
+from app.errors import ApiError
+
+def asset(source='flowchart LR\n A --> B'):
+    buf=BytesIO(); Image.new('RGB',(60,40),'blue').save(buf,'PNG')
+    return ExportAsset(kind='mermaid', source_hash=source_hash(source), png_base64=base64.b64encode(buf.getvalue()).decode())
+
+@pytest.mark.parametrize('format',['html','pdf','docx'])
+def test_static_mermaid_in_export(format):
+    async def run():
+        job=await exports.create_export(ExportRequest(source={'type':'markdown','markdown':'```mermaid\nflowchart LR\n A --> B\n```'},format=format,assets=[asset()],title='snapshot'))
+        finished=await exports.wait_for_export(job.job_id)
+        assert finished.status.value=='completed'
+        assert not any('mermaid' in w for w in finished.warnings)
+        data=exports.get_export_file(job.job_id).read_bytes()
+        if format=='html': assert b'data:image/png;base64,' in data
+        elif format=='pdf': assert b'/Subtype /Image' in data
+        else:
+            with ZipFile(BytesIO(data)) as archive: assert any(n.startswith('word/media/') for n in archive.namelist())
+    asyncio.run(run())
+
+def test_asset_invalid_and_duplicate():
+    with pytest.raises(ApiError): validate_assets([asset().model_copy(update={'png_base64':'not png'})])
+    with pytest.raises(ApiError): validate_assets([asset(),asset()])
+
+def test_stale_asset_does_not_replace_source():
+    from app.export.assets import attach_assets
+    from app.export.markdown import parse_document
+    document=parse_document('```mermaid\nflowchart LR\n X --> Y\n```')
+    attach_assets(document,validate_assets([asset()]))
+    assert 'static_png' not in document.children[0].attributes
+
+@pytest.mark.parametrize('format',['html','pdf','docx'])
+def test_math_and_local_image_export(format):
+    from app.config import get_settings
+    vault=get_settings().vault_path; vault.mkdir(parents=True)
+    Image.new('RGB',(100,50),'green').save(vault/'figure.png')
+    async def run():
+        job=await exports.create_export(ExportRequest(source={'type':'markdown','file_path':'demo.md',
+            'markdown':'Formula $\\frac{x^2}{2}$\n\n![figure](figure.png)'},format=format))
+        done=await exports.wait_for_export(job.job_id)
+        assert done.status.value=='completed'
+        assert not any('公式' in w or '图片' in w for w in done.warnings)
+        data=exports.get_export_file(job.job_id).read_bytes()
+        if format=='html': assert data.count(b'data:image/png;base64,')==2
+        if format=='docx':
+            with ZipFile(BytesIO(data)) as archive: assert len([n for n in archive.namelist() if n.startswith('word/media/')])==2
+    asyncio.run(run())
+
+def test_local_image_path_escape_and_tex_fallback():
+    from app.export.assets import enrich_document
+    from app.export.markdown import parse_document
+    document=parse_document('![no](../outside.png)\n\n$\\unknownmacro{x}$')
+    warnings=enrich_document(document,'demo.md')
+    assert len(warnings)==2
+
+@pytest.mark.parametrize('theme',['light','dark','sepia','paper-moments','ocean-blue','midnight-purple'])
+def test_function_preview_theme_and_parser(theme):
+    from app.plot_routes import PlotRequest, preview
+    result=preview(PlotRequest(source='y = x^2\ny = sin(x)',theme_id=theme))
+    assert '<polyline' in result.result.content
+    assert 'nan' not in result.result.content
+    assert preview(PlotRequest(source='y = __import__("os")')).result is None
+
+def test_agent_benchmark_real_runtime_offline_lifecycle():
+    from app.config import get_settings
+    from app.benchmarks import agent, service
+    from app.container import container
+    directory=get_settings().benchmark_datasets_path; directory.mkdir(parents=True,exist_ok=True)
+    (directory/'agent-test.json').write_text(json.dumps({'dataset_id':'agent-test','kind':'agent','version':'1', 'cases':[
+        {'case_id':'hello','prompt':'hello','output_contains':['definitely-absent'],'allowed_tools':[]}
+    ]}),encoding='utf-8')
+    async def run():
+        request=AgentBenchmarkRequest(dataset_id='agent-test',provider_id='mock',model='mock-model',offline=True)
+        with pytest.raises(ApiError): await agent.create_run(request.model_copy(update={'offline':False}))
+        created=await agent.create_run(request)
+        done=await service.wait_for_run(created.run_id)
+        assert done.status==BenchmarkStatus.completed
+        report=service.get_report(created.run_id)
+        assert report.metrics['task_success_rate']==0
+        case=report.cases[0]
+        assert case.agent_run_id and container.agent.get_run(case.agent_run_id)
+        assert report.config_snapshot['execution']=='offline'
+        events=service.get_events(created.run_id)
+        assert [e.sequence for e in events]==list(range(len(events)))
+        assert sum(e.event.value.startswith('Run') and e.event.value!='RunStarted' for e in events)==1
+        second=await agent.create_run(request); service.cancel_run(second.run_id)
+        assert (await service.wait_for_run(second.run_id)).status==BenchmarkStatus.cancelled
+    asyncio.run(run())
+
+def test_agent_score_counts_duplicate_and_invalid_calls():
+    from types import SimpleNamespace as NS
+    from app.contracts import AgentDatasetCase
+    from app.benchmarks.agent import score,aggregate
+    case=AgentDatasetCase(case_id='x',prompt='x',allowed_tools=['math.add'],expected_tools=[{'name':'math.add','arguments':{'left':2}}])
+    events=[NS(event=NS(value='ToolCall'),data={'name':'math.add','arguments':{'left':2}}) for _ in range(2)]
+    run=NS(status=NS(value='completed'),tool_results=[NS(success=False,name='math.add',error_code='TOOL_ARGUMENT_INVALID')],output='',citations=[],run_id='r',current_step=2,token_usage=10,error_code=None)
+    result=score(case,run,events,10,0)
+    assert not result.success
+    assert aggregate([result])['tool_argument_accuracy']==.5
+    assert aggregate([result])['invalid_tool_call_rate']==.5
+
+def test_local_embedding_cache_is_config_scoped_and_returns_copies(monkeypatch,tmp_path):
+    from app.local_models import runtime as local
+    from app.retrieval.provenance import capture_embedding
+    monkeypatch.setattr(local,'read_state',lambda key:{'status':'installed'})
+    monkeypatch.setattr(local,'interpreter',lambda config=None:Path(__file__))
+    monkeypatch.setattr(local,'model_path',lambda key:tmp_path/key)
+    calls=[]
+    async def infer(*args,**kwargs):
+        calls.append(args);return [[.5]*384]
+    monkeypatch.setattr(local.runtime,'infer',infer)
+    async def run():
+        embedding=local.LocalEmbedding(local.RuntimeConfig())
+        first=await embedding.embed_documents(['query'])
+        first[0][0]=999
+        with capture_embedding() as observation:
+            second=await embedding.embed_documents(['query'])
+        assert second[0][0]==.5 and observation['query_embedding_cache']=='hit'
+        assert len(calls)==1
+        await local.LocalEmbedding(local.RuntimeConfig(version=2)).embed_documents(['query'])
+        assert len(calls)==2
+    asyncio.run(run())
+
+
+def test_preview_http_and_agent_benchmark_validation():
+    from fastapi.testclient import TestClient
+    from app.main import app
+    with TestClient(app) as client:
+        response = client.post('/api/plots/function', json={'source':'y = sin(x)', 'theme_id':'dark'})
+        assert response.status_code == 200 and '<polyline' in response.json()['result']['content']
+        assert client.post('/api/plots/function', json={'source':'x'*20001}).status_code == 422
+        bad = client.post('/api/benchmarks/agent/runs', json={
+            'dataset_id':'missing', 'provider_id':'missing', 'model':'missing'})
+        assert bad.status_code == 404
+        assert client.get('/api/benchmarks/runs/missing/report').status_code == 404
+        schema = client.get('/openapi.json').json()
+        assert '/api/benchmarks/agent/runs' in schema['paths']
+
+
+def test_preview_rejects_aggregate_complexity_before_sampling():
+    from app.plot_routes import PlotRequest, preview
+    source = '\n'.join('y = '+ '+'.join(['(x+x)']*150) for _ in range(16))
+    result = preview(PlotRequest(source=source))
+    assert result.result is None
+    assert result.diagnostics[0].code == 'PLOT_BUDGET_EXCEEDED'
+
+
+def test_repeated_static_assets_share_document_resource_budget():
+    from app.export.assets import attach_assets, enrich_document
+    from app.export.markdown import parse_document
+    document = parse_document(('```mermaid\nflowchart LR\n A --> B\n```\n\n')*65)
+    attach_assets(document, validate_assets([asset()]))
+    warnings = enrich_document(document)
+    assert sum(bool(node.attributes.get('static_png')) for node in document.children) == 64
+    assert any('预算' in warning for warning in warnings)
+
+
+@pytest.mark.parametrize('order', [(1, 2), (2, 1)])
+def test_agent_parameter_matching_is_independent_of_call_order(order):
+    from types import SimpleNamespace as NS
+    from app.benchmarks.agent import score
+    from app.contracts import AgentDatasetCase
+    case = AgentDatasetCase(case_id='overlap', prompt='test', allowed_tools=['math.add'],
+        expected_tools=[{'name':'math.add','arguments':{}}, {'name':'math.add','arguments':{'left':1}}])
+    events = [NS(event=NS(value='ToolCall'), data={'name':'math.add','arguments':{'left':value}}) for value in order]
+    run = NS(status=NS(value='completed'),tool_results=[],output='',citations=[],run_id='test',current_step=1,token_usage=0,error_code=None)
+    result = score(case, run, events, 1, 0)
+    assert result.success and result.accurate_calls == result.selected_calls == 2
+    # Two expectations cannot reuse one matching call.
+    result = score(case, run, events[:1], 1, 0)
+    assert not result.success and result.accurate_calls == 1
+
+
+@pytest.mark.parametrize('page_size', ['A4', 'Letter'])
+@pytest.mark.parametrize('dimensions', [(200, 2000), (2000, 200)])
+def test_docx_static_images_fit_both_page_dimensions(page_size, dimensions):
+    from app.export.markdown import parse_document
+    from app.export.exporters.docx import DocxExporter
+    from app.contracts import ExportOptions
+    from docx import Document
+    png = BytesIO(); Image.new('RGB', dimensions, 'white').save(png, 'PNG')
+    document = parse_document('```mermaid\nflowchart TD\n A-->B\n```')
+    document.children[0].attributes['static_png'] = png.getvalue()
+    result = DocxExporter().render(document, ExportOptions(page_size=page_size))
+    word = Document(BytesIO(result.content)); section = word.sections[0]; shape = word.inline_shapes[0]
+    assert shape.width <= section.page_width - section.left_margin - section.right_margin
+    assert shape.height < section.page_height - section.top_margin - section.bottom_margin
+    assert shape.width / shape.height == pytest.approx(dimensions[0] / dimensions[1], rel=1e-5)

backend/tests/test_plot.py

@@ -107,7 +107,7 @@ def test_render_svg_contains_polyline_and_axes() -> None:
     assert "<line" in svg  # 坐标轴/网格
     assert "<script" not in svg
     assert rendered.width == 640
-    assert rendered.height == 480
+    assert rendered.height == 504  # Includes the legend row.
 
 
 def test_render_svg_multiple_functions() -> None:
@@ -300,7 +300,7 @@ def test_function_plot_static_renderer_renders_svg() -> None:
     assert "<polyline" in result.content
     assert result.mime_type == "image/svg+xml"
     assert result.width == 640
-    assert result.height == 480
+    assert result.height == 504  # Includes the legend row.
 
 
 def test_function_plot_static_renderer_parse_exposes_node_count() -> None:
@@ -359,7 +359,8 @@ def test_render_reportlab_builds_drawing() -> None:
     kinds = {type(c).__name__ for c in drawing.contents}
     assert {"Line", "PolyLine", "String", "Group"} <= kinds
     strings = [c for c in drawing.contents if isinstance(c, String)]
-    assert any(s.fontName == "STSong-Light" for s in strings)
+    from app.export.fonts import FONT
+    assert any(s.fontName == FONT for s in strings)
     assert any(s.text == "时间" for s in strings)
     # ylabel 在旋转 Group 内
     groups = [c for c in drawing.contents if isinstance(c, Group)]

backend/uv.lock

@@ -1,6 +1,10 @@
 version = 1
 revision = 3
 requires-python = ">=3.11"
+resolution-markers = [
+    "python_full_version >= '3.12'",
+    "python_full_version < '3.12'",
+]
 
 [[package]]
 name = "annotated-doc"
@@ -314,6 +318,89 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/d1/d6/3965ed04c63042e047cb6a3e6ed1a63a35087b6a609aa3a15ed8ac56c221/colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6", size = 25335, upload-time = "2022-10-25T02:36:20.889Z" },
 ]
 
+[[package]]
+name = "contourpy"
+version = "1.3.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" },
+    { name = "numpy", version = "2.5.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/58/01/1253e6698a07380cd31a736d248a3f2a50a7c88779a1813da27503cadc2a/contourpy-1.3.3.tar.gz", hash = "sha256:083e12155b210502d0bca491432bb04d56dc3432f95a979b429f2848c3dbe880", size = 13466174, upload-time = "2025-07-26T12:03:12.549Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/91/2e/c4390a31919d8a78b90e8ecf87cd4b4c4f05a5b48d05ec17db8e5404c6f4/contourpy-1.3.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:709a48ef9a690e1343202916450bc48b9e51c049b089c7f79a267b46cffcdaa1", size = 288773, upload-time = "2025-07-26T12:01:02.277Z" },
+    { url = "https://files.pythonhosted.org/packages/0d/44/c4b0b6095fef4dc9c420e041799591e3b63e9619e3044f7f4f6c21c0ab24/contourpy-1.3.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:23416f38bfd74d5d28ab8429cc4d63fa67d5068bd711a85edb1c3fb0c3e2f381", size = 270149, upload-time = "2025-07-26T12:01:04.072Z" },
+    { url = "https://files.pythonhosted.org/packages/30/2e/dd4ced42fefac8470661d7cb7e264808425e6c5d56d175291e93890cce09/contourpy-1.3.3-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:929ddf8c4c7f348e4c0a5a3a714b5c8542ffaa8c22954862a46ca1813b667ee7", size = 329222, upload-time = "2025-07-26T12:01:05.688Z" },
+    { url = "https://files.pythonhosted.org/packages/f2/74/cc6ec2548e3d276c71389ea4802a774b7aa3558223b7bade3f25787fafc2/contourpy-1.3.3-cp311-cp311-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:9e999574eddae35f1312c2b4b717b7885d4edd6cb46700e04f7f02db454e67c1", size = 377234, upload-time = "2025-07-26T12:01:07.054Z" },
+    { url = "https://files.pythonhosted.org/packages/03/b3/64ef723029f917410f75c09da54254c5f9ea90ef89b143ccadb09df14c15/contourpy-1.3.3-cp311-cp311-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:0bf67e0e3f482cb69779dd3061b534eb35ac9b17f163d851e2a547d56dba0a3a", size = 380555, upload-time = "2025-07-26T12:01:08.801Z" },
+    { url = "https://files.pythonhosted.org/packages/5f/4b/6157f24ca425b89fe2eb7e7be642375711ab671135be21e6faa100f7448c/contourpy-1.3.3-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:51e79c1f7470158e838808d4a996fa9bac72c498e93d8ebe5119bc1e6becb0db", size = 355238, upload-time = "2025-07-26T12:01:10.319Z" },
+    { url = "https://files.pythonhosted.org/packages/98/56/f914f0dd678480708a04cfd2206e7c382533249bc5001eb9f58aa693e200/contourpy-1.3.3-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:598c3aaece21c503615fd59c92a3598b428b2f01bfb4b8ca9c4edeecc2438620", size = 1326218, upload-time = "2025-07-26T12:01:12.659Z" },
+    { url = "https://files.pythonhosted.org/packages/fb/d7/4a972334a0c971acd5172389671113ae82aa7527073980c38d5868ff1161/contourpy-1.3.3-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:322ab1c99b008dad206d406bb61d014cf0174df491ae9d9d0fac6a6fda4f977f", size = 1392867, upload-time = "2025-07-26T12:01:15.533Z" },
+    { url = "https://files.pythonhosted.org/packages/75/3e/f2cc6cd56dc8cff46b1a56232eabc6feea52720083ea71ab15523daab796/contourpy-1.3.3-cp311-cp311-win32.whl", hash = "sha256:fd907ae12cd483cd83e414b12941c632a969171bf90fc937d0c9f268a31cafff", size = 183677, upload-time = "2025-07-26T12:01:17.088Z" },
+    { url = "https://files.pythonhosted.org/packages/98/4b/9bd370b004b5c9d8045c6c33cf65bae018b27aca550a3f657cdc99acdbd8/contourpy-1.3.3-cp311-cp311-win_amd64.whl", hash = "sha256:3519428f6be58431c56581f1694ba8e50626f2dd550af225f82fb5f5814d2a42", size = 225234, upload-time = "2025-07-26T12:01:18.256Z" },
+    { url = "https://files.pythonhosted.org/packages/d9/b6/71771e02c2e004450c12b1120a5f488cad2e4d5b590b1af8bad060360fe4/contourpy-1.3.3-cp311-cp311-win_arm64.whl", hash = "sha256:15ff10bfada4bf92ec8b31c62bf7c1834c244019b4a33095a68000d7075df470", size = 193123, upload-time = "2025-07-26T12:01:19.848Z" },
+    { url = "https://files.pythonhosted.org/packages/be/45/adfee365d9ea3d853550b2e735f9d66366701c65db7855cd07621732ccfc/contourpy-1.3.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b08a32ea2f8e42cf1d4be3169a98dd4be32bafe4f22b6c4cb4ba810fa9e5d2cb", size = 293419, upload-time = "2025-07-26T12:01:21.16Z" },
+    { url = "https://files.pythonhosted.org/packages/53/3e/405b59cfa13021a56bba395a6b3aca8cec012b45bf177b0eaf7a202cde2c/contourpy-1.3.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:556dba8fb6f5d8742f2923fe9457dbdd51e1049c4a43fd3986a0b14a1d815fc6", size = 273979, upload-time = "2025-07-26T12:01:22.448Z" },
+    { url = "https://files.pythonhosted.org/packages/d4/1c/a12359b9b2ca3a845e8f7f9ac08bdf776114eb931392fcad91743e2ea17b/contourpy-1.3.3-cp312-cp312-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:92d9abc807cf7d0e047b95ca5d957cf4792fcd04e920ca70d48add15c1a90ea7", size = 332653, upload-time = "2025-07-26T12:01:24.155Z" },
+    { url = "https://files.pythonhosted.org/packages/63/12/897aeebfb475b7748ea67b61e045accdfcf0d971f8a588b67108ed7f5512/contourpy-1.3.3-cp312-cp312-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:b2e8faa0ed68cb29af51edd8e24798bb661eac3bd9f65420c1887b6ca89987c8", size = 379536, upload-time = "2025-07-26T12:01:25.91Z" },
+    { url = "https://files.pythonhosted.org/packages/43/8a/a8c584b82deb248930ce069e71576fc09bd7174bbd35183b7943fb1064fd/contourpy-1.3.3-cp312-cp312-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:626d60935cf668e70a5ce6ff184fd713e9683fb458898e4249b63be9e28286ea", size = 384397, upload-time = "2025-07-26T12:01:27.152Z" },
+    { url = "https://files.pythonhosted.org/packages/cc/8f/ec6289987824b29529d0dfda0d74a07cec60e54b9c92f3c9da4c0ac732de/contourpy-1.3.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4d00e655fcef08aba35ec9610536bfe90267d7ab5ba944f7032549c55a146da1", size = 362601, upload-time = "2025-07-26T12:01:28.808Z" },
+    { url = "https://files.pythonhosted.org/packages/05/0a/a3fe3be3ee2dceb3e615ebb4df97ae6f3828aa915d3e10549ce016302bd1/contourpy-1.3.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:451e71b5a7d597379ef572de31eeb909a87246974d960049a9848c3bc6c41bf7", size = 1331288, upload-time = "2025-07-26T12:01:31.198Z" },
+    { url = "https://files.pythonhosted.org/packages/33/1d/acad9bd4e97f13f3e2b18a3977fe1b4a37ecf3d38d815333980c6c72e963/contourpy-1.3.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:459c1f020cd59fcfe6650180678a9993932d80d44ccde1fa1868977438f0b411", size = 1403386, upload-time = "2025-07-26T12:01:33.947Z" },
+    { url = "https://files.pythonhosted.org/packages/cf/8f/5847f44a7fddf859704217a99a23a4f6417b10e5ab1256a179264561540e/contourpy-1.3.3-cp312-cp312-win32.whl", hash = "sha256:023b44101dfe49d7d53932be418477dba359649246075c996866106da069af69", size = 185018, upload-time = "2025-07-26T12:01:35.64Z" },
+    { url = "https://files.pythonhosted.org/packages/19/e8/6026ed58a64563186a9ee3f29f41261fd1828f527dd93d33b60feca63352/contourpy-1.3.3-cp312-cp312-win_amd64.whl", hash = "sha256:8153b8bfc11e1e4d75bcb0bff1db232f9e10b274e0929de9d608027e0d34ff8b", size = 226567, upload-time = "2025-07-26T12:01:36.804Z" },
+    { url = "https://files.pythonhosted.org/packages/d1/e2/f05240d2c39a1ed228d8328a78b6f44cd695f7ef47beb3e684cf93604f86/contourpy-1.3.3-cp312-cp312-win_arm64.whl", hash = "sha256:07ce5ed73ecdc4a03ffe3e1b3e3c1166db35ae7584be76f65dbbe28a7791b0cc", size = 193655, upload-time = "2025-07-26T12:01:37.999Z" },
+    { url = "https://files.pythonhosted.org/packages/68/35/0167aad910bbdb9599272bd96d01a9ec6852f36b9455cf2ca67bd4cc2d23/contourpy-1.3.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:177fb367556747a686509d6fef71d221a4b198a3905fe824430e5ea0fda54eb5", size = 293257, upload-time = "2025-07-26T12:01:39.367Z" },
+    { url = "https://files.pythonhosted.org/packages/96/e4/7adcd9c8362745b2210728f209bfbcf7d91ba868a2c5f40d8b58f54c509b/contourpy-1.3.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:d002b6f00d73d69333dac9d0b8d5e84d9724ff9ef044fd63c5986e62b7c9e1b1", size = 274034, upload-time = "2025-07-26T12:01:40.645Z" },
+    { url = "https://files.pythonhosted.org/packages/73/23/90e31ceeed1de63058a02cb04b12f2de4b40e3bef5e082a7c18d9c8ae281/contourpy-1.3.3-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:348ac1f5d4f1d66d3322420f01d42e43122f43616e0f194fc1c9f5d830c5b286", size = 334672, upload-time = "2025-07-26T12:01:41.942Z" },
+    { url = "https://files.pythonhosted.org/packages/ed/93/b43d8acbe67392e659e1d984700e79eb67e2acb2bd7f62012b583a7f1b55/contourpy-1.3.3-cp313-cp313-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:655456777ff65c2c548b7c454af9c6f33f16c8884f11083244b5819cc214f1b5", size = 381234, upload-time = "2025-07-26T12:01:43.499Z" },
+    { url = "https://files.pythonhosted.org/packages/46/3b/bec82a3ea06f66711520f75a40c8fc0b113b2a75edb36aa633eb11c4f50f/contourpy-1.3.3-cp313-cp313-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:644a6853d15b2512d67881586bd03f462c7ab755db95f16f14d7e238f2852c67", size = 385169, upload-time = "2025-07-26T12:01:45.219Z" },
+    { url = "https://files.pythonhosted.org/packages/4b/32/e0f13a1c5b0f8572d0ec6ae2f6c677b7991fafd95da523159c19eff0696a/contourpy-1.3.3-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4debd64f124ca62069f313a9cb86656ff087786016d76927ae2cf37846b006c9", size = 362859, upload-time = "2025-07-26T12:01:46.519Z" },
+    { url = "https://files.pythonhosted.org/packages/33/71/e2a7945b7de4e58af42d708a219f3b2f4cff7386e6b6ab0a0fa0033c49a9/contourpy-1.3.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a15459b0f4615b00bbd1e91f1b9e19b7e63aea7483d03d804186f278c0af2659", size = 1332062, upload-time = "2025-07-26T12:01:48.964Z" },
+    { url = "https://files.pythonhosted.org/packages/12/fc/4e87ac754220ccc0e807284f88e943d6d43b43843614f0a8afa469801db0/contourpy-1.3.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:ca0fdcd73925568ca027e0b17ab07aad764be4706d0a925b89227e447d9737b7", size = 1403932, upload-time = "2025-07-26T12:01:51.979Z" },
+    { url = "https://files.pythonhosted.org/packages/a6/2e/adc197a37443f934594112222ac1aa7dc9a98faf9c3842884df9a9d8751d/contourpy-1.3.3-cp313-cp313-win32.whl", hash = "sha256:b20c7c9a3bf701366556e1b1984ed2d0cedf999903c51311417cf5f591d8c78d", size = 185024, upload-time = "2025-07-26T12:01:53.245Z" },
+    { url = "https://files.pythonhosted.org/packages/18/0b/0098c214843213759692cc638fce7de5c289200a830e5035d1791d7a2338/contourpy-1.3.3-cp313-cp313-win_amd64.whl", hash = "sha256:1cadd8b8969f060ba45ed7c1b714fe69185812ab43bd6b86a9123fe8f99c3263", size = 226578, upload-time = "2025-07-26T12:01:54.422Z" },
+    { url = "https://files.pythonhosted.org/packages/8a/9a/2f6024a0c5995243cd63afdeb3651c984f0d2bc727fd98066d40e141ad73/contourpy-1.3.3-cp313-cp313-win_arm64.whl", hash = "sha256:fd914713266421b7536de2bfa8181aa8c699432b6763a0ea64195ebe28bff6a9", size = 193524, upload-time = "2025-07-26T12:01:55.73Z" },
+    { url = "https://files.pythonhosted.org/packages/c0/b3/f8a1a86bd3298513f500e5b1f5fd92b69896449f6cab6a146a5d52715479/contourpy-1.3.3-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:88df9880d507169449d434c293467418b9f6cbe82edd19284aa0409e7fdb933d", size = 306730, upload-time = "2025-07-26T12:01:57.051Z" },
+    { url = "https://files.pythonhosted.org/packages/3f/11/4780db94ae62fc0c2053909b65dc3246bd7cecfc4f8a20d957ad43aa4ad8/contourpy-1.3.3-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:d06bb1f751ba5d417047db62bca3c8fde202b8c11fb50742ab3ab962c81e8216", size = 287897, upload-time = "2025-07-26T12:01:58.663Z" },
+    { url = "https://files.pythonhosted.org/packages/ae/15/e59f5f3ffdd6f3d4daa3e47114c53daabcb18574a26c21f03dc9e4e42ff0/contourpy-1.3.3-cp313-cp313t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e4e6b05a45525357e382909a4c1600444e2a45b4795163d3b22669285591c1ae", size = 326751, upload-time = "2025-07-26T12:02:00.343Z" },
+    { url = "https://files.pythonhosted.org/packages/0f/81/03b45cfad088e4770b1dcf72ea78d3802d04200009fb364d18a493857210/contourpy-1.3.3-cp313-cp313t-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:ab3074b48c4e2cf1a960e6bbeb7f04566bf36b1861d5c9d4d8ac04b82e38ba20", size = 375486, upload-time = "2025-07-26T12:02:02.128Z" },
+    { url = "https://files.pythonhosted.org/packages/0c/ba/49923366492ffbdd4486e970d421b289a670ae8cf539c1ea9a09822b371a/contourpy-1.3.3-cp313-cp313t-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:6c3d53c796f8647d6deb1abe867daeb66dcc8a97e8455efa729516b997b8ed99", size = 388106, upload-time = "2025-07-26T12:02:03.615Z" },
+    { url = "https://files.pythonhosted.org/packages/9f/52/5b00ea89525f8f143651f9f03a0df371d3cbd2fccd21ca9b768c7a6500c2/contourpy-1.3.3-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:50ed930df7289ff2a8d7afeb9603f8289e5704755c7e5c3bbd929c90c817164b", size = 352548, upload-time = "2025-07-26T12:02:05.165Z" },
+    { url = "https://files.pythonhosted.org/packages/32/1d/a209ec1a3a3452d490f6b14dd92e72280c99ae3d1e73da74f8277d4ee08f/contourpy-1.3.3-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:4feffb6537d64b84877da813a5c30f1422ea5739566abf0bd18065ac040e120a", size = 1322297, upload-time = "2025-07-26T12:02:07.379Z" },
+    { url = "https://files.pythonhosted.org/packages/bc/9e/46f0e8ebdd884ca0e8877e46a3f4e633f6c9c8c4f3f6e72be3fe075994aa/contourpy-1.3.3-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:2b7e9480ffe2b0cd2e787e4df64270e3a0440d9db8dc823312e2c940c167df7e", size = 1391023, upload-time = "2025-07-26T12:02:10.171Z" },
+    { url = "https://files.pythonhosted.org/packages/b9/70/f308384a3ae9cd2209e0849f33c913f658d3326900d0ff5d378d6a1422d2/contourpy-1.3.3-cp313-cp313t-win32.whl", hash = "sha256:283edd842a01e3dcd435b1c5116798d661378d83d36d337b8dde1d16a5fc9ba3", size = 196157, upload-time = "2025-07-26T12:02:11.488Z" },
+    { url = "https://files.pythonhosted.org/packages/b2/dd/880f890a6663b84d9e34a6f88cded89d78f0091e0045a284427cb6b18521/contourpy-1.3.3-cp313-cp313t-win_amd64.whl", hash = "sha256:87acf5963fc2b34825e5b6b048f40e3635dd547f590b04d2ab317c2619ef7ae8", size = 240570, upload-time = "2025-07-26T12:02:12.754Z" },
+    { url = "https://files.pythonhosted.org/packages/80/99/2adc7d8ffead633234817ef8e9a87115c8a11927a94478f6bb3d3f4d4f7d/contourpy-1.3.3-cp313-cp313t-win_arm64.whl", hash = "sha256:3c30273eb2a55024ff31ba7d052dde990d7d8e5450f4bbb6e913558b3d6c2301", size = 199713, upload-time = "2025-07-26T12:02:14.4Z" },
+    { url = "https://files.pythonhosted.org/packages/72/8b/4546f3ab60f78c514ffb7d01a0bd743f90de36f0019d1be84d0a708a580a/contourpy-1.3.3-cp314-cp314-macosx_10_13_x86_64.whl", hash = "sha256:fde6c716d51c04b1c25d0b90364d0be954624a0ee9d60e23e850e8d48353d07a", size = 292189, upload-time = "2025-07-26T12:02:16.095Z" },
+    { url = "https://files.pythonhosted.org/packages/fd/e1/3542a9cb596cadd76fcef413f19c79216e002623158befe6daa03dbfa88c/contourpy-1.3.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:cbedb772ed74ff5be440fa8eee9bd49f64f6e3fc09436d9c7d8f1c287b121d77", size = 273251, upload-time = "2025-07-26T12:02:17.524Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/71/f93e1e9471d189f79d0ce2497007731c1e6bf9ef6d1d61b911430c3db4e5/contourpy-1.3.3-cp314-cp314-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:22e9b1bd7a9b1d652cd77388465dc358dafcd2e217d35552424aa4f996f524f5", size = 335810, upload-time = "2025-07-26T12:02:18.9Z" },
+    { url = "https://files.pythonhosted.org/packages/91/f9/e35f4c1c93f9275d4e38681a80506b5510e9327350c51f8d4a5a724d178c/contourpy-1.3.3-cp314-cp314-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:a22738912262aa3e254e4f3cb079a95a67132fc5a063890e224393596902f5a4", size = 382871, upload-time = "2025-07-26T12:02:20.418Z" },
+    { url = "https://files.pythonhosted.org/packages/b5/71/47b512f936f66a0a900d81c396a7e60d73419868fba959c61efed7a8ab46/contourpy-1.3.3-cp314-cp314-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:afe5a512f31ee6bd7d0dda52ec9864c984ca3d66664444f2d72e0dc4eb832e36", size = 386264, upload-time = "2025-07-26T12:02:21.916Z" },
+    { url = "https://files.pythonhosted.org/packages/04/5f/9ff93450ba96b09c7c2b3f81c94de31c89f92292f1380261bd7195bea4ea/contourpy-1.3.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f64836de09927cba6f79dcd00fdd7d5329f3fccc633468507079c829ca4db4e3", size = 363819, upload-time = "2025-07-26T12:02:23.759Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/a6/0b185d4cc480ee494945cde102cb0149ae830b5fa17bf855b95f2e70ad13/contourpy-1.3.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:1fd43c3be4c8e5fd6e4f2baeae35ae18176cf2e5cced681cca908addf1cdd53b", size = 1333650, upload-time = "2025-07-26T12:02:26.181Z" },
+    { url = "https://files.pythonhosted.org/packages/43/d7/afdc95580ca56f30fbcd3060250f66cedbde69b4547028863abd8aa3b47e/contourpy-1.3.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:6afc576f7b33cf00996e5c1102dc2a8f7cc89e39c0b55df93a0b78c1bd992b36", size = 1404833, upload-time = "2025-07-26T12:02:28.782Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/e2/366af18a6d386f41132a48f033cbd2102e9b0cf6345d35ff0826cd984566/contourpy-1.3.3-cp314-cp314-win32.whl", hash = "sha256:66c8a43a4f7b8df8b71ee1840e4211a3c8d93b214b213f590e18a1beca458f7d", size = 189692, upload-time = "2025-07-26T12:02:30.128Z" },
+    { url = "https://files.pythonhosted.org/packages/7d/c2/57f54b03d0f22d4044b8afb9ca0e184f8b1afd57b4f735c2fa70883dc601/contourpy-1.3.3-cp314-cp314-win_amd64.whl", hash = "sha256:cf9022ef053f2694e31d630feaacb21ea24224be1c3ad0520b13d844274614fd", size = 232424, upload-time = "2025-07-26T12:02:31.395Z" },
+    { url = "https://files.pythonhosted.org/packages/18/79/a9416650df9b525737ab521aa181ccc42d56016d2123ddcb7b58e926a42c/contourpy-1.3.3-cp314-cp314-win_arm64.whl", hash = "sha256:95b181891b4c71de4bb404c6621e7e2390745f887f2a026b2d99e92c17892339", size = 198300, upload-time = "2025-07-26T12:02:32.956Z" },
+    { url = "https://files.pythonhosted.org/packages/1f/42/38c159a7d0f2b7b9c04c64ab317042bb6952b713ba875c1681529a2932fe/contourpy-1.3.3-cp314-cp314t-macosx_10_13_x86_64.whl", hash = "sha256:33c82d0138c0a062380332c861387650c82e4cf1747aaa6938b9b6516762e772", size = 306769, upload-time = "2025-07-26T12:02:34.2Z" },
+    { url = "https://files.pythonhosted.org/packages/c3/6c/26a8205f24bca10974e77460de68d3d7c63e282e23782f1239f226fcae6f/contourpy-1.3.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:ea37e7b45949df430fe649e5de8351c423430046a2af20b1c1961cae3afcda77", size = 287892, upload-time = "2025-07-26T12:02:35.807Z" },
+    { url = "https://files.pythonhosted.org/packages/66/06/8a475c8ab718ebfd7925661747dbb3c3ee9c82ac834ccb3570be49d129f4/contourpy-1.3.3-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d304906ecc71672e9c89e87c4675dc5c2645e1f4269a5063b99b0bb29f232d13", size = 326748, upload-time = "2025-07-26T12:02:37.193Z" },
+    { url = "https://files.pythonhosted.org/packages/b4/a3/c5ca9f010a44c223f098fccd8b158bb1cb287378a31ac141f04730dc49be/contourpy-1.3.3-cp314-cp314t-manylinux_2_26_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:ca658cd1a680a5c9ea96dc61cdbae1e85c8f25849843aa799dfd3cb370ad4fbe", size = 375554, upload-time = "2025-07-26T12:02:38.894Z" },
+    { url = "https://files.pythonhosted.org/packages/80/5b/68bd33ae63fac658a4145088c1e894405e07584a316738710b636c6d0333/contourpy-1.3.3-cp314-cp314t-manylinux_2_26_s390x.manylinux_2_28_s390x.whl", hash = "sha256:ab2fd90904c503739a75b7c8c5c01160130ba67944a7b77bbf36ef8054576e7f", size = 388118, upload-time = "2025-07-26T12:02:40.642Z" },
+    { url = "https://files.pythonhosted.org/packages/40/52/4c285a6435940ae25d7410a6c36bda5145839bc3f0beb20c707cda18b9d2/contourpy-1.3.3-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b7301b89040075c30e5768810bc96a8e8d78085b47d8be6e4c3f5a0b4ed478a0", size = 352555, upload-time = "2025-07-26T12:02:42.25Z" },
+    { url = "https://files.pythonhosted.org/packages/24/ee/3e81e1dd174f5c7fefe50e85d0892de05ca4e26ef1c9a59c2a57e43b865a/contourpy-1.3.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:2a2a8b627d5cc6b7c41a4beff6c5ad5eb848c88255fda4a8745f7e901b32d8e4", size = 1322295, upload-time = "2025-07-26T12:02:44.668Z" },
+    { url = "https://files.pythonhosted.org/packages/3c/b2/6d913d4d04e14379de429057cd169e5e00f6c2af3bb13e1710bcbdb5da12/contourpy-1.3.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:fd6ec6be509c787f1caf6b247f0b1ca598bef13f4ddeaa126b7658215529ba0f", size = 1391027, upload-time = "2025-07-26T12:02:47.09Z" },
+    { url = "https://files.pythonhosted.org/packages/93/8a/68a4ec5c55a2971213d29a9374913f7e9f18581945a7a31d1a39b5d2dfe5/contourpy-1.3.3-cp314-cp314t-win32.whl", hash = "sha256:e74a9a0f5e3fff48fb5a7f2fd2b9b70a3fe014a67522f79b7cca4c0c7e43c9ae", size = 202428, upload-time = "2025-07-26T12:02:48.691Z" },
+    { url = "https://files.pythonhosted.org/packages/fa/96/fd9f641ffedc4fa3ace923af73b9d07e869496c9cc7a459103e6e978992f/contourpy-1.3.3-cp314-cp314t-win_amd64.whl", hash = "sha256:13b68d6a62db8eafaebb8039218921399baf6e47bf85006fd8529f2a08ef33fc", size = 250331, upload-time = "2025-07-26T12:02:50.137Z" },
+    { url = "https://files.pythonhosted.org/packages/ae/8c/469afb6465b853afff216f9528ffda78a915ff880ed58813ba4faf4ba0b6/contourpy-1.3.3-cp314-cp314t-win_arm64.whl", hash = "sha256:b7448cb5a725bb1e35ce88771b86fba35ef418952474492cf7c764059933ff8b", size = 203831, upload-time = "2025-07-26T12:02:51.449Z" },
+    { url = "https://files.pythonhosted.org/packages/a5/29/8dcfe16f0107943fa92388c23f6e05cff0ba58058c4c95b00280d4c75a14/contourpy-1.3.3-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:cd5dfcaeb10f7b7f9dc8941717c6c2ade08f587be2226222c12b25f0483ed497", size = 278809, upload-time = "2025-07-26T12:02:52.74Z" },
+    { url = "https://files.pythonhosted.org/packages/85/a9/8b37ef4f7dafeb335daee3c8254645ef5725be4d9c6aa70b50ec46ef2f7e/contourpy-1.3.3-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:0c1fc238306b35f246d61a1d416a627348b5cf0648648a031e14bb8705fcdfe8", size = 261593, upload-time = "2025-07-26T12:02:54.037Z" },
+    { url = "https://files.pythonhosted.org/packages/0a/59/ebfb8c677c75605cc27f7122c90313fd2f375ff3c8d19a1694bda74aaa63/contourpy-1.3.3-pp311-pypy311_pp73-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:70f9aad7de812d6541d29d2bbf8feb22ff7e1c299523db288004e3157ff4674e", size = 302202, upload-time = "2025-07-26T12:02:55.947Z" },
+    { url = "https://files.pythonhosted.org/packages/3c/37/21972a15834d90bfbfb009b9d004779bd5a07a0ec0234e5ba8f64d5736f4/contourpy-1.3.3-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5ed3657edf08512fc3fe81b510e35c2012fbd3081d2e26160f27ca28affec989", size = 329207, upload-time = "2025-07-26T12:02:57.468Z" },
+    { url = "https://files.pythonhosted.org/packages/0c/58/bd257695f39d05594ca4ad60df5bcb7e32247f9951fd09a9b8edb82d1daa/contourpy-1.3.3-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:3d1a3799d62d45c18bafd41c5fa05120b96a28079f2393af559b843d1a966a77", size = 225315, upload-time = "2025-07-26T12:02:58.801Z" },
+]
+
 [[package]]
 name = "cryptography"
 version = "50.0.1"
@@ -370,6 +457,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/71/44/711e61f7d014be825ef79b285b047292d1bf893732ac1bc030a351fb517f/cryptography-50.0.1-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:693c99b49bd37d0d096e4334c10232c77248c415b98d35236094cdf96d57258b", size = 3824006, upload-time = "2026-08-25T19:45:37.281Z" },
 ]
 
+[[package]]
+name = "cycler"
+version = "0.12.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/a9/95/a3dbbb5028f35eafb79008e7522a75244477d2838f38cbb722248dabc2a8/cycler-0.12.1.tar.gz", hash = "sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c", size = 7615, upload-time = "2023-10-07T05:32:18.335Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/e7/05/c19819d5e3d95294a6f5947fb9b9629efb316b96de511b418c53d245aae6/cycler-0.12.1-py3-none-any.whl", hash = "sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30", size = 8321, upload-time = "2023-10-07T05:32:16.783Z" },
+]
+
 [[package]]
 name = "fastapi"
 version = "0.141.1"
@@ -386,6 +482,148 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/cb/03/10388a42375ee7e4ac9b94eb2c5c569c8b5795e377e701c9ac3ad63de890/fastapi-0.141.1-py3-none-any.whl", hash = "sha256:bfb91aa2d334c61cb35ba9a116fc123b3d3df31640b801cf57a7a78ec3f603b3", size = 131954, upload-time = "2026-07-29T17:18:04.364Z" },
 ]
 
+[[package]]
+name = "fonttools"
+version = "4.64.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/d4/41/0f072a712dc74496e03710e462a18a4cfd8a258ad055a4e22d28b43a7abd/fonttools-4.64.0.tar.gz", hash = "sha256:ecb2e59a7bc692fee64dda6010deb66222335693b30046f15cccf81233aa715f", size = 3664266, upload-time = "2026-08-31T15:44:33.685Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/07/f7/a222d1e20d460a09d08fe0b612a6f373235168c6c3228ff6a913cc8ff9ea/fonttools-4.64.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:dac25768be4c03a990c359f408cb7e8958ed0e93061e495b3642ce7909761205", size = 3087538, upload-time = "2026-08-31T15:42:26.68Z" },
+    { url = "https://files.pythonhosted.org/packages/74/fd/571331ac2b9ea43403ba43f27f5b45427a13b5c559d4379c99f3f9437b59/fonttools-4.64.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:d652592c71683941b768306fa1c7c6ce1bb9b072505043feafe86305d71030b7", size = 2582847, upload-time = "2026-08-31T15:42:28.664Z" },
+    { url = "https://files.pythonhosted.org/packages/dd/bc/583ad5e4d6fbc600b1d9eb3c2e8b4eac5ca1c204fa29e4ef0ff344d8aa60/fonttools-4.64.0-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:801fd04899d72eab34f02ab78d0451525621b3bd589da9d2d480dfffe951b643", size = 5493826, upload-time = "2026-08-31T15:42:30.991Z" },
+    { url = "https://files.pythonhosted.org/packages/f8/3d/4edf079bdb01791abe87753b7c8fdca4e8ec709276e7b030a1aa84a88a51/fonttools-4.64.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ff7aff4637fbf71394df139c63ccfe08a47aa4252d2f91224ddb3335c716c925", size = 5455609, upload-time = "2026-08-31T15:42:33.149Z" },
+    { url = "https://files.pythonhosted.org/packages/7e/b6/e36ea109c8cfdb0f174c09d8464b4ddf6b446f97313118d69b6a28cd7189/fonttools-4.64.0-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:f521d79d6acda4923b264805541696f452079db0952a5bb96f9ff742f50629ec", size = 5460840, upload-time = "2026-08-31T15:42:35.423Z" },
+    { url = "https://files.pythonhosted.org/packages/6c/bf/0d8bb1fbb96c621c1da5f93e288bec8424802df10265e790dddc66626b1f/fonttools-4.64.0-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:a0afa8bac675445dc0e2ba2891ecbedd9be89cb437afa94c823e0290cc2c4bc5", size = 5591341, upload-time = "2026-08-31T15:42:37.874Z" },
+    { url = "https://files.pythonhosted.org/packages/e8/e1/6f8a1a01e5ed4408fdffb934c77ce65d978a2df6fd6eaaec5e6b864b10f5/fonttools-4.64.0-cp311-cp311-win32.whl", hash = "sha256:c3c1fb656063a2f762db5378ea8d38ad5f7836b4f3fb8c4652270ded43df2935", size = 2439647, upload-time = "2026-08-31T15:42:40.196Z" },
+    { url = "https://files.pythonhosted.org/packages/21/41/b575f14a653911f33f17ef62bbeaa818c94bc7e694579cc9ddec6935d5b2/fonttools-4.64.0-cp311-cp311-win_amd64.whl", hash = "sha256:e63b63b8b5fdb8e29318dff2b15c5f852be46e972775b466f75b848f6eed4502", size = 2497436, upload-time = "2026-08-31T15:42:42.36Z" },
+    { url = "https://files.pythonhosted.org/packages/82/23/4ea251977fef70ed14193785e1b2949355f1f5927dc0ef1dada675c0bbb2/fonttools-4.64.0-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:9ecb2b206b5b2386f6968721a0770226b66bdd54adc4279bfff3ddf62873eed8", size = 3095501, upload-time = "2026-08-31T15:42:44.299Z" },
+    { url = "https://files.pythonhosted.org/packages/c4/32/943e9034f49797e1a25dbbd60c8047ce0c38c3585c5d1b2db38ce64059c5/fonttools-4.64.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:a8c631303bb1fd7be3067c47536a30ff1fcb4846d6008c112bc52a03f7cd6965", size = 2583091, upload-time = "2026-08-31T15:42:46.57Z" },
+    { url = "https://files.pythonhosted.org/packages/0a/4b/332cb3105d5d550cb5728e669151601c4f7698cbedafd134154eb806ef83/fonttools-4.64.0-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:b2763e452b025ee8e990f0462e76052de9bb094ebc21d296f62c6dfe958886b4", size = 5423449, upload-time = "2026-08-31T15:42:48.615Z" },
+    { url = "https://files.pythonhosted.org/packages/dc/8f/e5f2906ea833d362916c64a2f6b1922a07b19442744fd3cd89563f429bff/fonttools-4.64.0-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:66a83f93579fb3493e458c4449d1d566a7b2a1c7b19915cd0fa3c9b8b5a8540b", size = 5400981, upload-time = "2026-08-31T15:42:50.862Z" },
+    { url = "https://files.pythonhosted.org/packages/fe/46/1b325ebb20aef8bb05f803052ea65931d73638ae3e0d02a6658e3d14e0f8/fonttools-4.64.0-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:cf67f96dc0bfe9607f5f2b734cedfbe2f6f995231adee4ccefa12872044d452d", size = 5359588, upload-time = "2026-08-31T15:42:53.341Z" },
+    { url = "https://files.pythonhosted.org/packages/8c/d3/ac56fa880e01339aa6ad0bcb457cc30bb4d6c5ca79922e1bd650e4a3a396/fonttools-4.64.0-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:6786bed88581e19bc4f28ea7a64ad531e8f54acf50327fddca942688824a60bd", size = 5520698, upload-time = "2026-08-31T15:42:55.919Z" },
+    { url = "https://files.pythonhosted.org/packages/d7/40/1251fef04c308836a3a7db523703a7ca8ab010dc1e3b9a9bf08e0861c7a8/fonttools-4.64.0-cp312-cp312-win32.whl", hash = "sha256:da4c9bdeaf6b06c12d13d0addfc8ef15aa9695d26574a6dc10751258bef72f30", size = 2430689, upload-time = "2026-08-31T15:42:58.48Z" },
+    { url = "https://files.pythonhosted.org/packages/6f/1c/ce0e89183c0235ff6cfbf0603d593023a5afa5333efb35ff569cc0be9ce2/fonttools-4.64.0-cp312-cp312-win_amd64.whl", hash = "sha256:06b6409b868494556a831ae33b2d9a090476c37516b38d70f45a9720b460d423", size = 2482071, upload-time = "2026-08-31T15:43:00.598Z" },
+    { url = "https://files.pythonhosted.org/packages/44/7b/49b0054a79b9ed918c018e70e09b56eb5678ee8b44e59e126c79de4d8d73/fonttools-4.64.0-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:9443eefff58aad558608f352092e1be6d278980e8c3b4e8621fcbfda97818500", size = 3092750, upload-time = "2026-08-31T15:43:02.705Z" },
+    { url = "https://files.pythonhosted.org/packages/83/e2/08e73bd2f6e6248f071d3e9debe4c2b4cecda3a7dc057c56b44e255421c3/fonttools-4.64.0-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:09657817b75575822bcd6098ef0ebf0386f34430839ee53109e70fd40a7f6539", size = 2583001, upload-time = "2026-08-31T15:43:04.923Z" },
+    { url = "https://files.pythonhosted.org/packages/2f/58/6dc0ff0963fc1e12f53bac59175617ec5927342ee7a4ffb871b44d56d81b/fonttools-4.64.0-cp313-cp313-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7d7995b906666037d7114c20a5566a372902747452af7d5bd4cd6bca8f1a2550", size = 5392765, upload-time = "2026-08-31T15:43:07.096Z" },
+    { url = "https://files.pythonhosted.org/packages/7a/dd/4d3911049680da7b3aecf97cb5094e3a05554f5d94829358fc7664640456/fonttools-4.64.0-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:2c42237b7e8c6813643e57d3efed3be094d4c06339dc2166b626e2cc5c12ee93", size = 5373969, upload-time = "2026-08-31T15:43:09.617Z" },
+    { url = "https://files.pythonhosted.org/packages/48/0a/a2cf94121fd3ca9166bdb4863f71d6db32a5606b223c81e2ba99832a0612/fonttools-4.64.0-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:498f02ea92c9ca18c0f9c581ea93184a9d56c25b0af14189b0767adaf34235d8", size = 5333854, upload-time = "2026-08-31T15:43:11.985Z" },
+    { url = "https://files.pythonhosted.org/packages/44/e2/632f4a8b94e6d7eea41e6d82f0ed337f64f5fb96f9910e2ac6b1689910e2/fonttools-4.64.0-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:8252f20108e557532f91d7d6dd9af87c16ed6fa930f65516aa480fa2cfed3363", size = 5492828, upload-time = "2026-08-31T15:43:14.288Z" },
+    { url = "https://files.pythonhosted.org/packages/ff/25/7fee1978fdedc1a2d978b76dddbea88785416f5774e7222327b867712d71/fonttools-4.64.0-cp313-cp313-win32.whl", hash = "sha256:45e3ecc3888f1637094fd75cd8fc727f3a4b06d1ddf89181126c071e244fd2a5", size = 2429011, upload-time = "2026-08-31T15:43:16.463Z" },
+    { url = "https://files.pythonhosted.org/packages/dd/ed/bb1c217c9e1fbfa59f42b266af57df937a703882a73e59a309773752228f/fonttools-4.64.0-cp313-cp313-win_amd64.whl", hash = "sha256:e4812f71c39d77ec5041348dafa400532adf7bf8f1fffa9aa6495fce5876d7b8", size = 2480199, upload-time = "2026-08-31T15:43:18.774Z" },
+    { url = "https://files.pythonhosted.org/packages/a0/0a/59b9074b8ab165cc28d3e08bcf7a8eff8e1dc5932a5a41c87b15952fa3af/fonttools-4.64.0-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:6f1ce9ef9a1b13098efdc2e43a2ed96d9851bbde7b31c652a87552c4efe9b422", size = 3096790, upload-time = "2026-08-31T15:43:21.125Z" },
+    { url = "https://files.pythonhosted.org/packages/17/39/af1077a36feefe79f36d67d75aee637a96673c0a74eeb2c6f24266f5a20b/fonttools-4.64.0-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:83cc48d1411d2ff388dab99973dca81172cc9ceae9c9799da9548d494cfb38cb", size = 2584288, upload-time = "2026-08-31T15:43:23.148Z" },
+    { url = "https://files.pythonhosted.org/packages/00/c4/1ea58af0eb78264d28e5871bba0810bf0943cd93d641fdeae92553ad3410/fonttools-4.64.0-cp314-cp314-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e412767d1c9765cf1b82f7b00f1686c6ca5809ebb77af363b3f9f2325a465c01", size = 5378061, upload-time = "2026-08-31T15:43:25.193Z" },
+    { url = "https://files.pythonhosted.org/packages/93/99/5c7e36d770407b66f7fc8378d2bb47f1530d083d8b9247ff011ec9b4dd70/fonttools-4.64.0-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b4a7af455ffed980925bc0ebf5b8d6239e6c3e797d9d755b6db192fb3080d614", size = 5319458, upload-time = "2026-08-31T15:43:27.696Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/09/89e8d600e92723309d4ddd3944c4ca565197a5df0236ae4115ccbe797375/fonttools-4.64.0-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:398b14f89ca950b288bd290875f07e4e10685644fa4ac668546fb107b1ada4d4", size = 5316656, upload-time = "2026-08-31T15:43:29.842Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/b3/56719ab37e1592ceac89724574146622bedec036a207be80f3c7b1c14cbe/fonttools-4.64.0-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:dc96150f99e05a317cb1f042b92c4cf8bc93cdb1f9f85717322e202ecdf2e505", size = 5448380, upload-time = "2026-08-31T15:43:32.311Z" },
+    { url = "https://files.pythonhosted.org/packages/3b/b0/15951b7e3006073f3260da4f8983732d18903905cfe26daa5138a0bbf682/fonttools-4.64.0-cp314-cp314-win32.whl", hash = "sha256:1c3661324f3f0fa4539a32288a3e0711a5f3ccf020036e760bb558ae9811a16f", size = 2432778, upload-time = "2026-08-31T15:43:34.421Z" },
+    { url = "https://files.pythonhosted.org/packages/8e/f3/0c97402b29411f4f6d31b32f2af5b4bcd5babe5a93c64558a8fd3654f140/fonttools-4.64.0-cp314-cp314-win_amd64.whl", hash = "sha256:043f6c572bf236f2a76e762c25f841daea11e8fc03e78088d7be66e0c5b4e4c0", size = 2485394, upload-time = "2026-08-31T15:43:36.506Z" },
+    { url = "https://files.pythonhosted.org/packages/00/da/82192c7bee5314f04129a068dddae11082a63295d4e3b5ce08657de96608/fonttools-4.64.0-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:4691a122b8c1d0d82d6e7510ce59d5c42146518240274b53e912e255573924f7", size = 3170118, upload-time = "2026-08-31T15:43:38.579Z" },
+    { url = "https://files.pythonhosted.org/packages/42/2d/0b4f608d754f625fecc7d94b3b26af6f65f6ab4527b386bb0c6141cdd9ea/fonttools-4.64.0-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:3200180abc69639483cf54a17cca2e13c31ede5f665979ea0a9c829d093f372f", size = 2617333, upload-time = "2026-08-31T15:43:40.934Z" },
+    { url = "https://files.pythonhosted.org/packages/5e/df/9f7448c38dea05458acfee81c443b14ef97d6d66c636af053d41cf8a32dd/fonttools-4.64.0-cp314-cp314t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:53eee22af5b5a305c1ee2652955ed46b148e881456fcec1e7f0eb27f642f6bb4", size = 5542345, upload-time = "2026-08-31T15:43:43.114Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/e8/cbf4a81e8be322bc4bee4ba31cd33a7b6336ef8030fa13b53b3e9c09fbf9/fonttools-4.64.0-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:08f172961e11f4eb4f80f2f20049e09b0ea8e044fa6d456fed8346eb8588f360", size = 5349981, upload-time = "2026-08-31T15:43:45.363Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/dc/106fd9e93e962dbb60482d30c0913af3d108f5762429dfe93265a850bdc5/fonttools-4.64.0-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:6eae4376adb104c2acfa76fd9ea0cb12b572ca1d70eceac709871f638ff76e93", size = 5409249, upload-time = "2026-08-31T15:43:47.817Z" },
+    { url = "https://files.pythonhosted.org/packages/b0/2d/c7be990abf74c9c5c5367ae3dc65953ffce49fe00f62abd129cf725a2397/fonttools-4.64.0-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:2730946ca8f12c356bd98eb9b2b095c8e761ed05bed5afb0d5b380cebe4f6370", size = 5443781, upload-time = "2026-08-31T15:43:49.909Z" },
+    { url = "https://files.pythonhosted.org/packages/9b/cc/bffec3dccb9e3f4f6097a2baedaef5a8dec2cb816522ee163e4bb7f54b44/fonttools-4.64.0-cp314-cp314t-win32.whl", hash = "sha256:d30c966bea2deffa19c738c81776f7182da5ccabd97e666bae4f3d6ba87341d9", size = 2466542, upload-time = "2026-08-31T15:43:52.088Z" },
+    { url = "https://files.pythonhosted.org/packages/96/49/e31f97dfc94e0648999f04bfccb37a97062d978f87df60654f496942c89f/fonttools-4.64.0-cp314-cp314t-win_amd64.whl", hash = "sha256:917fd520bb60809d83c14d43cfe48d5ad2516abaf2c073d65a431800dade2d29", size = 2516703, upload-time = "2026-08-31T15:43:53.954Z" },
+    { url = "https://files.pythonhosted.org/packages/fe/ec/e39b9e56db7dcc859983caa24cf2a36209dd71f6cc8ddbbf00d7342d7988/fonttools-4.64.0-cp315-cp315-macosx_10_15_universal2.whl", hash = "sha256:8dd18fdff0ac9759b8d67a714730abee07b2312e3656c20ba5affb0107094762", size = 3091150, upload-time = "2026-08-31T15:43:56.309Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/e1/3e6a409d6f99efb66c2f6d0a71986432ff9cc9aca0df9ff4a8bed1d850f6/fonttools-4.64.0-cp315-cp315-macosx_10_15_x86_64.whl", hash = "sha256:5af87d1a6d247d7467ee082ae977a5443b2c45f8cd4d59375b6daa38d523c2de", size = 2582833, upload-time = "2026-08-31T15:43:58.348Z" },
+    { url = "https://files.pythonhosted.org/packages/91/7e/e8aec0e6eaf93267450535c1be9c9ae63e1d9c49659c2ffdb52c19982114/fonttools-4.64.0-cp315-cp315-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:769fb64412ca237547ca73f111a64252d9e32c9d938bed51ed537bc9146a8f54", size = 5375327, upload-time = "2026-08-31T15:44:00.417Z" },
+    { url = "https://files.pythonhosted.org/packages/61/d1/fa9ce5c1c3c0ef858a2cbe5632e9b6b137deca010b28d5d9a677e4aa89a7/fonttools-4.64.0-cp315-cp315-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e662f874ab2c7da9861584db44a13573e0936df087215f63013138f6e5eba083", size = 5338647, upload-time = "2026-08-31T15:44:02.62Z" },
+    { url = "https://files.pythonhosted.org/packages/0d/13/e4d4fa3c166f7f5a8f9b6403ad9dcb3887cd05f8b9d2638bd2b43d2889ef/fonttools-4.64.0-cp315-cp315-musllinux_1_2_aarch64.whl", hash = "sha256:2524a26f8fdb9051b0d778d052f5d238285ca9f91a7dc004514c7d6cf38d35f4", size = 5313557, upload-time = "2026-08-31T15:44:05.037Z" },
+    { url = "https://files.pythonhosted.org/packages/91/c8/5a352d69608ea7606f677080ede971090fc7340b9f143c0b4fa00cfbf63e/fonttools-4.64.0-cp315-cp315-musllinux_1_2_x86_64.whl", hash = "sha256:1e4e84b47839d35be24dbf476845a34f2ccf99707b66df125c1c414d3e86d25d", size = 5462363, upload-time = "2026-08-31T15:44:07.13Z" },
+    { url = "https://files.pythonhosted.org/packages/4b/f1/b15b845f66b559a24a9c40859391bbd3048af3ac0fd04e45b57dca11c4c7/fonttools-4.64.0-cp315-cp315-win32.whl", hash = "sha256:be084d19a3ac0c8b2aba696680642d703118d3b1f18cf83f5b7dbaf0ffc62ab6", size = 2431682, upload-time = "2026-08-31T15:44:09.293Z" },
+    { url = "https://files.pythonhosted.org/packages/c6/b2/909beff0d2e2e1adac896e36cff7f9d76fd154bcd57e303d8f09aee8f72b/fonttools-4.64.0-cp315-cp315-win_amd64.whl", hash = "sha256:de8acaa5f4160f537a3cf41b031171d51004b9f4aebfa6c194f18dffa9533d03", size = 2484393, upload-time = "2026-08-31T15:44:11.117Z" },
+    { url = "https://files.pythonhosted.org/packages/40/47/06a51becf651cc071daa88e18ecb9f45ace9e3a570d8191ed8b3cae353fa/fonttools-4.64.0-cp315-cp315t-macosx_10_15_universal2.whl", hash = "sha256:5b90ad6637237b636d15c9ae8b7c4a7a1c194f33def378677e468c13fd4542f8", size = 3162235, upload-time = "2026-08-31T15:44:13.182Z" },
+    { url = "https://files.pythonhosted.org/packages/dd/96/8b3faf58fd7ec3bb11943126658ad15b3f385068b23248deffccf2327ac1/fonttools-4.64.0-cp315-cp315t-macosx_10_15_x86_64.whl", hash = "sha256:fa75c7970bc6bca340cc6e20f20f069201bfcb50094c31a536fd99724d1d01ca", size = 2613507, upload-time = "2026-08-31T15:44:15.123Z" },
+    { url = "https://files.pythonhosted.org/packages/bb/3a/223d1437e72d79f1549be7bafb3cc08f397e1d9c354a241a8ec8573b7d33/fonttools-4.64.0-cp315-cp315t-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:236e59bc7e2a63557a4d7b013f9cb9e28d9aebc45bc09f85e545e6bf091db626", size = 5518005, upload-time = "2026-08-31T15:44:17.359Z" },
+    { url = "https://files.pythonhosted.org/packages/9d/9f/6f1a4b40ae533b9e907b7e627e397be632d0d9fd6f6be7756cf458870279/fonttools-4.64.0-cp315-cp315t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:a515f664cad988f2295056833a59f62220bc3e46afdaffe389a29060f6712355", size = 5341654, upload-time = "2026-08-31T15:44:19.869Z" },
+    { url = "https://files.pythonhosted.org/packages/52/f6/9ca30ba98730a22b527bcc1e02034f0b13b3be2ede764bb0fe8b8e0408d6/fonttools-4.64.0-cp315-cp315t-musllinux_1_2_aarch64.whl", hash = "sha256:5bfdaada437e7730c17d366bd7bb8c4a16639963ddbfc1b2f302a68a17a290e7", size = 5385994, upload-time = "2026-08-31T15:44:21.979Z" },
+    { url = "https://files.pythonhosted.org/packages/09/27/baf1b61bff983bfec72cbb7b32162c4b68d76dc824aaaa48a1c26fa10b6b/fonttools-4.64.0-cp315-cp315t-musllinux_1_2_x86_64.whl", hash = "sha256:c60be0aed97a32c6ba8cee21f0d0477136e495451bd97910f589ac892db120d4", size = 5432407, upload-time = "2026-08-31T15:44:24.469Z" },
+    { url = "https://files.pythonhosted.org/packages/21/ff/2eab37d43f2e2ccc0993959d8f2605d9a68470082c592684ac98611ee70a/fonttools-4.64.0-cp315-cp315t-win32.whl", hash = "sha256:f8669ce37851b597d3435b91fefa51139e58d506ca449ca0e5bb68c63b8b6d2b", size = 2463614, upload-time = "2026-08-31T15:44:27.198Z" },
+    { url = "https://files.pythonhosted.org/packages/dc/8d/8bdff3ea656592197c8ef5062774221885468ffa01d8b0dc782dae23a83a/fonttools-4.64.0-cp315-cp315t-win_amd64.whl", hash = "sha256:89356c0793b474af7e49ec90d39fb2363e2341516a90460e38231df5ebe8acd5", size = 2512422, upload-time = "2026-08-31T15:44:29.478Z" },
+    { url = "https://files.pythonhosted.org/packages/82/f8/7188153c4b265c899cd035de6a062677d51f67118a4ba640902bd9683e90/fonttools-4.64.0-py3-none-any.whl", hash = "sha256:4a05783ff54ce4c7a28f18e5772efdf63c219374bd9ffc55452182e1cef8be60", size = 1195327, upload-time = "2026-08-31T15:44:31.741Z" },
+]
+
+[[package]]
+name = "greenlet"
+version = "3.5.5"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/0b/d8/7cc97c142388aef03f622e001c572c4f84e9252a439549d483f555771970/greenlet-3.5.5.tar.gz", hash = "sha256:adb4bae02e91a8e863e48b177e4014bdcac8a6b5e047ea1df687a61534b85e6c", size = 207585, upload-time = "2026-08-10T15:09:36.136Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/4e/a3/07297917485ee2ca85bc3c8dc6ed85ad3fffcf424047fba62671dba68e97/greenlet-3.5.5-cp311-cp311-macosx_11_0_universal2.whl", hash = "sha256:be63afcbbccfad3dd95a1ba12ada84dab2ef32031973d80b5b92df67fa763a61", size = 294165, upload-time = "2026-08-10T13:25:17.987Z" },
+    { url = "https://files.pythonhosted.org/packages/db/51/6f732f9314cda54c5fd48a7620c7160f4f286967e8045ad94b9d66ce80b7/greenlet-3.5.5-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:8a268024ce2d7d2b04694bf1594058981a9fa663d1df4b762dee499211ed7c1c", size = 613610, upload-time = "2026-08-10T14:14:33.829Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/c0/b27589e25d220289edcd4d582b2b17b83058d1a56d53d971b6ea1a34f10d/greenlet-3.5.5-cp311-cp311-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:35cbb8bf55ace57fbccb4fb8622c4521713acd8691e77f4696d416ea7ca527da", size = 625481, upload-time = "2026-08-10T14:27:23.647Z" },
+    { url = "https://files.pythonhosted.org/packages/39/82/5c873dbb4fb001d22fbbd50e80d4c1b0181ddae106856132160f84b94e88/greenlet-3.5.5-cp311-cp311-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:abc8bc8d9f935cd685457545b6a53863a877fdc12c2c0f5ee9beee18d9db139c", size = 633329, upload-time = "2026-08-10T14:30:06.062Z" },
+    { url = "https://files.pythonhosted.org/packages/51/2d/f2c928218ac52f26d7a2c188c171d1b7e728b23782cb3347e7b4fce1493a/greenlet-3.5.5-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:74cc6df89ec5302337adc9cf096221cbed2510fd444b0e0f1586cf0470740864", size = 624562, upload-time = "2026-08-10T13:40:48.064Z" },
+    { url = "https://files.pythonhosted.org/packages/70/12/f7df98e72a8eb4a7edfec5a08d6d1a4ab53a52c95ba0b2ea6c10b8dd9bd0/greenlet-3.5.5-cp311-cp311-manylinux_2_39_riscv64.whl", hash = "sha256:3134291427bb0f3526e9d90311988caf336eb43730e95244997a4fb15f45144f", size = 428145, upload-time = "2026-08-10T14:30:01.071Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/4a/92fc51d5d35912f4f06eec037ba347985defd0be47463a010a325634d9d2/greenlet-3.5.5-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:6d9b454c5fc48aeaa7c4337813dbf513a6870468e426438a04d922c6d0fe63db", size = 1584909, upload-time = "2026-08-10T14:15:04.343Z" },
+    { url = "https://files.pythonhosted.org/packages/ac/58/ed98b80ac5738c149a5258544843c45601ade1fd70f61740cdaead6351b3/greenlet-3.5.5-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:03551ed792cb1b4fc0277a0c60dfd8c343894a0ba06fe60dcd22f568b433da39", size = 1651184, upload-time = "2026-08-10T13:40:28.879Z" },
+    { url = "https://files.pythonhosted.org/packages/d8/be/b582ceb80cefdf9d8da34078714e4b12b3d16f509dee0f65e40a5cc8fc7d/greenlet-3.5.5-cp311-cp311-win_amd64.whl", hash = "sha256:ab3df3dffb58bf70564e93a5cec7941e4d9faa5a36cc4234a10d3131afe04f53", size = 323280, upload-time = "2026-08-10T13:26:07.495Z" },
+    { url = "https://files.pythonhosted.org/packages/4d/18/5313c4c58598c38b0373c013e4ff2b3e6d258aaaa338f373335ebecdaddd/greenlet-3.5.5-cp311-cp311-win_arm64.whl", hash = "sha256:2b70a766135540c472ac1393d57c2e1b4a2eb85bf526a1e41e6d096173a8cee5", size = 307785, upload-time = "2026-08-10T13:28:34.874Z" },
+    { url = "https://files.pythonhosted.org/packages/2e/7e/9ecd0285e3153532ae07aeb88063c43c72b4221cf0d4d123b02f3682e3ff/greenlet-3.5.5-cp312-cp312-macosx_11_0_universal2.whl", hash = "sha256:49520f0c95a48b42cf55414b8e8479beb274ea70431afc33e3f79903c71f4380", size = 295809, upload-time = "2026-08-10T13:25:34.023Z" },
+    { url = "https://files.pythonhosted.org/packages/35/73/60e4bbcc89252037b18087f2ec16405d5b2d5be42dde191bbf3667e96102/greenlet-3.5.5-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:55272212cbc5f43d1d723725ab931f1939969b7e9523882ca58b55061769d053", size = 611910, upload-time = "2026-08-10T14:14:35.18Z" },
+    { url = "https://files.pythonhosted.org/packages/a4/17/cd5134be659cd4a443e7a61ae670dabec165a814c51162916d637b6dd38e/greenlet-3.5.5-cp312-cp312-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:655bca754a2ef4efcb0eb48a94d3f4593536d0f3d48f8ed44343c01d16a92f95", size = 624198, upload-time = "2026-08-10T14:27:25.229Z" },
+    { url = "https://files.pythonhosted.org/packages/9b/30/87c212b5c684d0e72974f1063b7a9687631e8985902c06e1016542c874e7/greenlet-3.5.5-cp312-cp312-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:6ca5d6ae0739e5764f2cfcfaa562ac5a990cbdaedca93251c5e3cf07c362371f", size = 629504, upload-time = "2026-08-10T14:30:07.967Z" },
+    { url = "https://files.pythonhosted.org/packages/78/ac/5c5b959999b6f09c3026b5dfe171575bc3121c5236ce74f495096f25b203/greenlet-3.5.5-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:147b25a42e5ca5be3d42356e8f608b37af715a1c196e9bf9d1627f3341adfe1d", size = 621439, upload-time = "2026-08-10T13:40:49.391Z" },
+    { url = "https://files.pythonhosted.org/packages/63/2c/eb487fafc9f50ffff2b1e0b697f70fb34bf150821c08ab225aacf5583a7e/greenlet-3.5.5-cp312-cp312-manylinux_2_39_riscv64.whl", hash = "sha256:1b5ed9162c0c098e0bbc2cf88a94f433c1b8926f831745252e099e5d83e17759", size = 432462, upload-time = "2026-08-10T14:30:02.309Z" },
+    { url = "https://files.pythonhosted.org/packages/c8/8b/6acf112ed8aee499f25b4d6949820fb02ac950ff9c1f3d793bd5be0599f2/greenlet-3.5.5-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:27493374cff1d1b7919dc8126547f2aea582737e3046147b434b1e12de56389b", size = 1581342, upload-time = "2026-08-10T14:15:05.653Z" },
+    { url = "https://files.pythonhosted.org/packages/b8/d7/734e5f198888876b42d7616ff6644c075baf6b8a2412deadd6b0e1b8b20c/greenlet-3.5.5-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:12e2ee66c2aba86133f10fd99d6a8856c6d351ffb7be0e4d52ef2cc5fbb705b2", size = 1645744, upload-time = "2026-08-10T13:40:30.353Z" },
+    { url = "https://files.pythonhosted.org/packages/de/30/1f42b88dc587b5899ee50616ad56ee40cafaf225df4fb829f10183c62a5c/greenlet-3.5.5-cp312-cp312-win_amd64.whl", hash = "sha256:49ddacd36af37735fab103846f4ee4d18a492dde72730d1699c0c8ebe30d9f18", size = 324171, upload-time = "2026-08-10T13:28:44.472Z" },
+    { url = "https://files.pythonhosted.org/packages/76/e5/4dee4d8d2e603fe5fdd7b444e63219f7b9bd852c60c6214511c7157cbe88/greenlet-3.5.5-cp312-cp312-win_arm64.whl", hash = "sha256:5f1b1ff4828cdc1aba4266aff814085d04a1d07959287219af021b838b265d52", size = 308362, upload-time = "2026-08-10T13:26:46.839Z" },
+    { url = "https://files.pythonhosted.org/packages/fb/3d/8cef5f724ec0d4add2af8961d504535ec60c3cca9e464f6d03bdba29d85b/greenlet-3.5.5-cp313-cp313-macosx_11_0_universal2.whl", hash = "sha256:b79fd2a5bc099b5e744f34c4c9a58954a5f4cb7529fb4b6e8446057d61b6edaa", size = 294730, upload-time = "2026-08-10T13:27:51.206Z" },
+    { url = "https://files.pythonhosted.org/packages/88/4b/8e7aa3f514273aecff30a16ab1bac09ff54cfc7e6860fdd8058c37ff2499/greenlet-3.5.5-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:634cf15a233a949136879dd388e25d3296e16f3f1e217d2456797b8579ebc6ed", size = 614536, upload-time = "2026-08-10T14:14:36.589Z" },
+    { url = "https://files.pythonhosted.org/packages/85/48/4e95e9dd5a8a397dc6a6345dd7f1935113d0fca4f85e89d3976da9cd988d/greenlet-3.5.5-cp313-cp313-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:499adea519f748407fc6806d20eedabac2884fd73b9f38d81236e190ba20dfef", size = 626924, upload-time = "2026-08-10T14:27:27.048Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/84/eaa476d6bf3816828d0d70e80dcc36bf30a058233bd889e707e693f6e860/greenlet-3.5.5-cp313-cp313-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:f7278591501941bb2456af102bb9cd59aab48c6cfd6e2dd68fa1290bb0c49a42", size = 632726, upload-time = "2026-08-10T14:30:09.874Z" },
+    { url = "https://files.pythonhosted.org/packages/89/5d/398a1c71fa7a277deeb376c999979de6786f08fc2d5747a0b9d6e11738dd/greenlet-3.5.5-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:2eabb980975cba5b93a95f6f69287d05fc05ac955bfd6a320a7c083eeb52c0b0", size = 623906, upload-time = "2026-08-10T13:40:50.501Z" },
+    { url = "https://files.pythonhosted.org/packages/d0/f2/0cc2849ede68579291e9c59b3ab6ec1958f98681cca5b14d8fc75bf674a4/greenlet-3.5.5-cp313-cp313-manylinux_2_39_riscv64.whl", hash = "sha256:4dfc7c4470354e7b09184d1a3a985761053a2fd694ddb5b5c80242afc2c8c90b", size = 434966, upload-time = "2026-08-10T14:30:03.729Z" },
+    { url = "https://files.pythonhosted.org/packages/04/1b/745450fc5ea9e0cb17d840d248f284db3363de736d362c7d2d883e3eadba/greenlet-3.5.5-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:03115c2e0a371999bf8ae616aa8d653f96641d4705c457aebaa187276e9f7537", size = 1581430, upload-time = "2026-08-10T14:15:06.853Z" },
+    { url = "https://files.pythonhosted.org/packages/d4/29/d51b296e3191bb15d3d81ec375af1909e4466c0f395d744ed475801798a9/greenlet-3.5.5-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:4441153ffba21b90d3ca89fe3d31f5c093ae6c0bf0cfdfc98f54cde22f95b62e", size = 1645684, upload-time = "2026-08-10T13:40:32.133Z" },
+    { url = "https://files.pythonhosted.org/packages/12/63/369f1a1625e64e9e31df3963c6044056e3fdfa3fa3fdba3c54ffefa6e987/greenlet-3.5.5-cp313-cp313-win_amd64.whl", hash = "sha256:95c5b1f4b3a193f8a0c2de4bfdcb48d119f7f1063941f1de1f2168051b3e52dd", size = 324075, upload-time = "2026-08-10T13:26:58.974Z" },
+    { url = "https://files.pythonhosted.org/packages/45/78/649cb5c09d4d81f6dd1444e75474a7206784743283a21d24171562ac4899/greenlet-3.5.5-cp313-cp313-win_arm64.whl", hash = "sha256:1af90aa4bc129883b340cdd6957a3bc74f60528a4993bbd1f53aaebe1d9981cc", size = 308260, upload-time = "2026-08-10T13:27:50.795Z" },
+    { url = "https://files.pythonhosted.org/packages/7f/8c/080e881fa2be95ff1ddbd6994b2bab3b1a78df3b3fcab39306011764fcc7/greenlet-3.5.5-cp314-cp314-macosx_11_0_universal2.whl", hash = "sha256:d4a389a852e392a6366058651a20fa5ba40d979865aa81bea2ccbdc44805070d", size = 295309, upload-time = "2026-08-10T13:26:03.032Z" },
+    { url = "https://files.pythonhosted.org/packages/25/cc/0ac614e6586c0e42d4cc281a5819150f4f43685744a4c5ff77139286409d/greenlet-3.5.5-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:70b157cd319873e8b544ddc2de158f55bbd0a9b0218c8ce9332039801518e328", size = 661185, upload-time = "2026-08-10T14:14:37.867Z" },
+    { url = "https://files.pythonhosted.org/packages/5e/b9/6808725354be8ad305dfe5172377664fc9642d4fc043be246b3314cf4482/greenlet-3.5.5-cp314-cp314-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:8bdfd1424abcf26832961e766570cae79efdb9599d709088c9cb6ef82b194926", size = 673419, upload-time = "2026-08-10T14:27:28.652Z" },
+    { url = "https://files.pythonhosted.org/packages/eb/52/f005d579acde46c3d1cc3cab1c9f3d5708c8a3006a4120e8cf5da801afe9/greenlet-3.5.5-cp314-cp314-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:d98ef6f92e67c6dbf299dbfd8facc1b0d2d9cedf91e325e73b3d0373fe4309d8", size = 677863, upload-time = "2026-08-10T14:30:11.663Z" },
+    { url = "https://files.pythonhosted.org/packages/42/2e/40c509967da7f254680826a2fa0dd22138ec79946c70b97542d74cde8b43/greenlet-3.5.5-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:182de51c6b572a705f2fafaab2e783bcf7d2760940229dfe73086cbae037af3e", size = 670822, upload-time = "2026-08-10T13:40:51.833Z" },
+    { url = "https://files.pythonhosted.org/packages/c4/8a/a75f8a2bdcef3c358a3147cdc9db3aa83755f0a038f766ab0bedb66f512c/greenlet-3.5.5-cp314-cp314-manylinux_2_39_riscv64.whl", hash = "sha256:159df1942d88e8f784cbb38d6f18bdb365cd11319cfbb3e89623de2b97892d53", size = 480554, upload-time = "2026-08-10T14:30:05.171Z" },
+    { url = "https://files.pythonhosted.org/packages/2d/22/c3c2eee4a8fe191d6d1d183086c56133d646024e3d70bfd414829f64560b/greenlet-3.5.5-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:8fec3f165dfe332e490c3247c0f6c23b0bfc45f06496ad7f00ddb00e3d35e4dc", size = 1628469, upload-time = "2026-08-10T14:15:08.11Z" },
+    { url = "https://files.pythonhosted.org/packages/f7/87/25babd09b94cb1f03e71db815fde463f0262e40cfbd953d58a8d77311351/greenlet-3.5.5-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:c6ce25fee6cabc8bf22cb8b52e642cbb821be5b9aec8094d07ff03378141b8e9", size = 1691952, upload-time = "2026-08-10T13:40:33.502Z" },
+    { url = "https://files.pythonhosted.org/packages/2e/3d/5cc9701117ea4dc0eb7bf1f4f9b7888a6e2e5277ddfae095805ace50f2b6/greenlet-3.5.5-cp314-cp314-win_amd64.whl", hash = "sha256:7dffc5c859fe6059974df1e37d7923d654a83e2ae18fdd616994270e001115e1", size = 327458, upload-time = "2026-08-10T13:27:02.868Z" },
+    { url = "https://files.pythonhosted.org/packages/a7/6b/594fa2de7fae7629168a404a4305d7d7e31a5742c50a801b1839543cb93d/greenlet-3.5.5-cp314-cp314-win_arm64.whl", hash = "sha256:5e2afcfc4d4305dd715809b03da5cbe437c8984f61d8917751eb5fe4aefa3e07", size = 311146, upload-time = "2026-08-10T13:27:25.046Z" },
+    { url = "https://files.pythonhosted.org/packages/24/e0/50cd600b469e5734c72709b6b1838b6bc63f307b573c772c3132d6ecfe92/greenlet-3.5.5-cp314-cp314t-macosx_11_0_universal2.whl", hash = "sha256:0e5a7de979d764aea1f5b6e95cf92b5b37741b9823702041f34b126e7f690277", size = 305471, upload-time = "2026-08-10T13:26:20.568Z" },
+    { url = "https://files.pythonhosted.org/packages/75/a3/77acd66dfc6387b5219b2080806c0cabb73c10eb1bb44b413c40a62015ba/greenlet-3.5.5-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:fef01bd457f11fc158b130ca0027a3c365693280e8e231b65bdaf57999f39f5b", size = 672470, upload-time = "2026-08-10T14:14:39.058Z" },
+    { url = "https://files.pythonhosted.org/packages/b9/71/0d178142dca3ec19f46fb2212ae73d30ad53b9d548dc64804086033a7089/greenlet-3.5.5-cp314-cp314t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:5173a72310725a74afc82c164f0e52cb8ad0de62f2bb623f24f6c0cc07d80272", size = 679973, upload-time = "2026-08-10T14:27:30.072Z" },
+    { url = "https://files.pythonhosted.org/packages/aa/ac/0d7887aa4bbfc9eba075cc428244dfc96f623478454d5ec81180d0d6bd5a/greenlet-3.5.5-cp314-cp314t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:5e9ec2e7c98e895fcea0c5cc57b2606cf86ece6d0a56578f3eb225e2af4f0387", size = 681587, upload-time = "2026-08-10T14:30:13.519Z" },
+    { url = "https://files.pythonhosted.org/packages/6e/31/46eb8567302eaf787abf88d09df014e14ae3baf460af1b8b0efdbd3efcd5/greenlet-3.5.5-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:44f08341873200ba8a60a8bc14ace3d91f1754f7fa7bc66157714a8cd420a476", size = 676634, upload-time = "2026-08-10T13:40:53.004Z" },
+    { url = "https://files.pythonhosted.org/packages/4f/18/8d58ba1c429b0383e3219a3d0e0bba241d0444d8ed05b73349953c7d7c7b/greenlet-3.5.5-cp314-cp314t-manylinux_2_39_riscv64.whl", hash = "sha256:102817506f6090b5176c746a82603341a549b40e5c3d5b72a4c672228a918c41", size = 510175, upload-time = "2026-08-10T14:30:07.047Z" },
+    { url = "https://files.pythonhosted.org/packages/a3/e9/b88bbf5b29970cb84172dc2c32aa3e5e579ceb94c808e81c826454138850/greenlet-3.5.5-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:d246c0db9a2513cd45f019ba178ea4d4d4705bd210ee465e2c15d76a1ab13874", size = 1637320, upload-time = "2026-08-10T14:15:09.317Z" },
+    { url = "https://files.pythonhosted.org/packages/6d/8c/7631ed29cc6f0392f11830076e172ce4885e70b0bc2c1bce1731176d4b4e/greenlet-3.5.5-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:72507285b5caa1d17904a3f7c322ca780823a54170a0e04ec3f37bcc60d4db71", size = 1697412, upload-time = "2026-08-10T13:40:34.924Z" },
+    { url = "https://files.pythonhosted.org/packages/da/0f/f7dd935f9c4cb1be49098770587f54d8a78518e55c89bce86c4fb4109057/greenlet-3.5.5-cp314-cp314t-win_amd64.whl", hash = "sha256:7805655781fb8f28a55d05fe57ed61f5f10f1892fb587673e3bb5264f28041f0", size = 331514, upload-time = "2026-08-10T13:29:20.611Z" },
+    { url = "https://files.pythonhosted.org/packages/b7/e5/681b01f8fbc1b55232822f99e8f8afeb78a55a7c76a7bf9dbdc7ccb03a6d/greenlet-3.5.5-cp315-cp315-macosx_11_0_universal2.whl", hash = "sha256:c0db80fcd5b8aece93f66c64f78a786bbb6b96c5fe63ef5a5a4581ecf8bab206", size = 295975, upload-time = "2026-08-10T13:28:45.985Z" },
+    { url = "https://files.pythonhosted.org/packages/11/f2/69b488cd9e7267bf4b0fe8cdebf25d8d6df680d21bdf41150d23e23d6652/greenlet-3.5.5-cp315-cp315-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6b241c32f912ada659808d68e308c568baf577eebf757d15471472de0c18cfad", size = 666823, upload-time = "2026-08-10T14:14:40.222Z" },
+    { url = "https://files.pythonhosted.org/packages/84/d4/d5bc2fdebbdda0c94555925ba79948b8395d75a7f6a36cc85dce5bab9f11/greenlet-3.5.5-cp315-cp315-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:ef6a08349401d8eaf3cb12688ac8557de95788556b8631ef17555a4a173022c0", size = 677613, upload-time = "2026-08-10T14:27:31.543Z" },
+    { url = "https://files.pythonhosted.org/packages/65/53/4e13642efc4d7ad6554ecb2242a5be42666b2e1a067323e88dfc0124a04b/greenlet-3.5.5-cp315-cp315-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:37faa97daccb6d9f4c2141ce3118d023c3c5506864a7d8bdf726f665018c1f76", size = 681436, upload-time = "2026-08-10T14:30:14.839Z" },
+    { url = "https://files.pythonhosted.org/packages/bd/93/542d8a3a90f3b35c6ad8bf7e56a03010287f2cafa289a5b7985b5207db39/greenlet-3.5.5-cp315-cp315-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f2e3d061b8e13aec2f0441689b3c71b244a20e5d274a52cb0f7e31bd1d139552", size = 675930, upload-time = "2026-08-10T13:40:54.205Z" },
+    { url = "https://files.pythonhosted.org/packages/cd/32/188447c9a468d6977d2989397226b0c6b65ab6f4cf943f931643328512fc/greenlet-3.5.5-cp315-cp315-manylinux_2_39_riscv64.whl", hash = "sha256:b18007dc2473a7942fd157366b55f01da6fed7ce85318591005b419e0a439474", size = 487404, upload-time = "2026-08-10T14:30:08.903Z" },
+    { url = "https://files.pythonhosted.org/packages/52/b5/89c9f2e8460d71101037d47a1feed11928615a5edd42370be290e0657eeb/greenlet-3.5.5-cp315-cp315-musllinux_1_2_aarch64.whl", hash = "sha256:9ab5f5b93655e77fe0d6c2dfd22b5eac751bb1f876d8ec21761b7c1fb9266007", size = 1633878, upload-time = "2026-08-10T14:15:10.693Z" },
+    { url = "https://files.pythonhosted.org/packages/b8/60/297de93f3b02ac78a5e04d32bb8bbe3080f4a73d8ed95016561463b70618/greenlet-3.5.5-cp315-cp315-musllinux_1_2_x86_64.whl", hash = "sha256:f0e5a21bd4452a88cf032fc43c4a5b307ab1380eacb63b5988f9c0317885e773", size = 1696597, upload-time = "2026-08-10T13:40:36.252Z" },
+    { url = "https://files.pythonhosted.org/packages/18/25/54c6eaff4f337fb670215e89eb2d00d9499487b658e709d4b477be4a342e/greenlet-3.5.5-cp315-cp315-win_amd64.whl", hash = "sha256:469dbb0a78625642f4a626cfd0c6e8bccc0385b5e49189b6308bbe849ec88a8e", size = 327700, upload-time = "2026-08-10T13:28:06.752Z" },
+    { url = "https://files.pythonhosted.org/packages/67/67/857e88a36301caa0e029870132c2478bd55d896630321432afab03a3115f/greenlet-3.5.5-cp315-cp315-win_arm64.whl", hash = "sha256:2d57406c3efd32d7a81e17a674314e8bd00792cdab49ea3228a49aa1bfb2e769", size = 311750, upload-time = "2026-08-10T13:34:08.815Z" },
+    { url = "https://files.pythonhosted.org/packages/10/e2/3144c0a116067ac1e30457b0139a94d60d1d36a86e015de68e9ac87cb3bc/greenlet-3.5.5-cp315-cp315t-macosx_11_0_universal2.whl", hash = "sha256:68184dfcf50ccaa8e864770fe0633a7e27250ea9329f8192ef47ee9ecfd78e1c", size = 306387, upload-time = "2026-08-10T13:27:00.897Z" },
+    { url = "https://files.pythonhosted.org/packages/5c/a1/cb4223a7e9b9f43b8807e8eb212358bfe2dfaa174a9ea2889eb1714dcba2/greenlet-3.5.5-cp315-cp315t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9ec0dc0e59dc9c61af5c47348365ccbbd7addfafe0a93b00336ff3da2907bdc6", size = 676472, upload-time = "2026-08-10T14:14:41.417Z" },
+    { url = "https://files.pythonhosted.org/packages/9e/cd/a154b4498e5d8f12ada291cfb3b8d596eadde2177f5bf09a9be699d2a446/greenlet-3.5.5-cp315-cp315t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:e604f58e35833fc46ef20302bcb314dddbfd3fcf33a4f936216d51dd678d63ae", size = 684238, upload-time = "2026-08-10T14:27:32.946Z" },
+    { url = "https://files.pythonhosted.org/packages/ce/f4/e450a68a152f819491d8c7df6a8254e761d87e6a78759268961f8c5bd4dd/greenlet-3.5.5-cp315-cp315t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:2888a3a38bc5ee5bb6c438372197152e815837e4fab7ed7a1f86ef18ffd58ad1", size = 686022, upload-time = "2026-08-10T14:30:15.96Z" },
+    { url = "https://files.pythonhosted.org/packages/bf/bb/b0031d260c2968a3c87deebc51d80c64e499377f993aafe06ee3b7488cc2/greenlet-3.5.5-cp315-cp315t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:40239b5384f96da3963585cc6d7eaa9b56f8ae67e8d92cc82dd9e202fc847de3", size = 681246, upload-time = "2026-08-10T13:40:55.402Z" },
+    { url = "https://files.pythonhosted.org/packages/18/23/17e63d6bf3b9c9b9dbea981b7f643a71f79603bdfb4f1c3a9cf353e22aed/greenlet-3.5.5-cp315-cp315t-manylinux_2_39_riscv64.whl", hash = "sha256:1e8d9391fe77f15649589a907cef972dbbd6352ef7ff7dc0492f658c0c26495f", size = 516951, upload-time = "2026-08-10T14:30:10.907Z" },
+    { url = "https://files.pythonhosted.org/packages/9a/07/da554b71ab88e649da146e1065d86a48a5c5d92e50ab74ef41b504aa7f56/greenlet-3.5.5-cp315-cp315t-musllinux_1_2_aarch64.whl", hash = "sha256:a1eaccf5c3a1d3e46dead602c72e6836731e8e245c9de6a27764567b6b62d4c0", size = 1642735, upload-time = "2026-08-10T14:15:11.92Z" },
+    { url = "https://files.pythonhosted.org/packages/78/76/26a3782a051677668af9d92beaa47cd87ba9dd5072f762961144a03dd4c6/greenlet-3.5.5-cp315-cp315t-musllinux_1_2_x86_64.whl", hash = "sha256:19e4e026fe20691f333b8eb1a3bc9625eceba8c3f9d62ec5a6f8581afbc6b5a5", size = 1700925, upload-time = "2026-08-10T13:40:37.656Z" },
+    { url = "https://files.pythonhosted.org/packages/28/d9/fe7baf4190c2ae71f267efb9de21b3172bb35bc0ed1ef53dd6027d658e33/greenlet-3.5.5-cp315-cp315t-win_amd64.whl", hash = "sha256:712aee154f648bde84634654bb38bb78c69ac640c37a45c9effed800735049d8", size = 331829, upload-time = "2026-08-10T13:26:48.851Z" },
+    { url = "https://files.pythonhosted.org/packages/df/af/419a4e383bd600858a9b67e9b280a60fdc383ee3f2fe5b6c0c1ef04e74d1/greenlet-3.5.5-cp315-cp315t-win_arm64.whl", hash = "sha256:7f049911ee81a16a03c33d5450d8d5867d27f596ca5fb201b86f4524e874468b", size = 315093, upload-time = "2026-08-10T13:29:34.949Z" },
+]
+
 [[package]]
 name = "h11"
 version = "0.16.0"
@@ -511,6 +749,136 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/41/45/1a4ed80516f02155c51f51e8cedb3c1902296743db0bbc66608a0db2814f/jsonschema_specifications-2025.9.1-py3-none-any.whl", hash = "sha256:98802fee3a11ee76ecaca44429fda8a41bff98b00a0f2838151b113f210cc6fe", size = 18437, upload-time = "2025-09-08T01:34:57.871Z" },
 ]
 
+[[package]]
+name = "kiwisolver"
+version = "1.5.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ba/07/bd78e6a8fae171ea041ef5bba3ed21a003522fa088834b069b1909981f30/kiwisolver-1.5.1.tar.gz", hash = "sha256:f1303ef2eec81262a4b708c3e858afe58d7c75ad91c1c05266eda7673369859a", size = 104395, upload-time = "2026-08-28T10:28:27.153Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/94/7b/2de6908edc668427c149af5f93112e931f87e1fa4cab80bac32c5844dccc/kiwisolver-1.5.1-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:b3d78f7bb2b9d9a30345be1474b9aaa8685430b54afb51ba3639b5c6c11e9ed6", size = 123364, upload-time = "2026-08-28T10:25:04.359Z" },
+    { url = "https://files.pythonhosted.org/packages/8a/24/e70914415c77c97be7e22c80a0740869cb7428768cc380fdcdf6703e7084/kiwisolver-1.5.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:5025e36fb4fb275cef0a4e30dbb11cb4ae61d1c83deb90189cb5d7e4cafd6b55", size = 66558, upload-time = "2026-08-28T10:25:05.506Z" },
+    { url = "https://files.pythonhosted.org/packages/e8/2b/8b08b11833db4d475b8ef1f36174f8d8a7abd31bedd7e794be78e8814b48/kiwisolver-1.5.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:dc1a26b8e53395a01c2c611e58602fa47461f136fba7cd5542e6db6d64be1839", size = 64071, upload-time = "2026-08-28T10:25:06.7Z" },
+    { url = "https://files.pythonhosted.org/packages/89/00/05c2d0369ac322d22d5c05f84b5c4a6856fa6207fbae42869108a28f0383/kiwisolver-1.5.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:95a02752aa032eef4aed01cda6d9b687c669bd0396bf4519eef8bba22a286720", size = 1438206, upload-time = "2026-08-28T10:25:08.254Z" },
+    { url = "https://files.pythonhosted.org/packages/c0/05/c941a139f27438c1910d630fdc3ccfdab7c8407c72052299ead12ece086e/kiwisolver-1.5.1-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:719a35fa1156db3640555f95ebb94f60a444e64d1c69626b0edef5df78eba225", size = 1248975, upload-time = "2026-08-28T10:25:10.053Z" },
+    { url = "https://files.pythonhosted.org/packages/58/a1/2669ee5512e39b9d4de25faacaedf788c957f93730c5f7c63993ec4f5933/kiwisolver-1.5.1-cp311-cp311-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:febcce10f2bcdbb80b4ea919238a6a4ac13dbc4c7cadbe8d5d75c3682f8b5404", size = 1266301, upload-time = "2026-08-28T10:25:11.754Z" },
+    { url = "https://files.pythonhosted.org/packages/28/b8/353f52f2c7f861a9e90cd2e8f90f85b3ad03060835f823e08298d094c463/kiwisolver-1.5.1-cp311-cp311-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:1d852545c4d0e35a72728d072cbaa59e2fa7dd84bdf01e068d670dd0ceb58eb6", size = 1319708, upload-time = "2026-08-28T10:25:13.559Z" },
+    { url = "https://files.pythonhosted.org/packages/21/0e/14b83200eadc2c1d63b76bac01c1813bf072aecf567429f303e00b70258e/kiwisolver-1.5.1-cp311-cp311-manylinux_2_39_riscv64.whl", hash = "sha256:2e10ae1bba1899188b33557c10d73affcc12033edd18adddb57d209039976a4c", size = 971720, upload-time = "2026-08-28T10:25:14.934Z" },
+    { url = "https://files.pythonhosted.org/packages/86/91/9d43d84d23b1cbff72a142d387ead1ea03db0cba8ff86ed5335addad3cc9/kiwisolver-1.5.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:b69602970994a2ed8bbfa78c2f0394a7435226c6040489702d9f0a0ad0c07052", size = 2200119, upload-time = "2026-08-28T10:25:16.636Z" },
+    { url = "https://files.pythonhosted.org/packages/ff/7c/f2bd9616f27ffb5e17cecc0baa5d0bbcee7e55aeddc0ccc871d69e2fc3ee/kiwisolver-1.5.1-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:d50de98e8d807dc31822fff96f50293163a62418eb65487a21b42713d72ed0b7", size = 2295005, upload-time = "2026-08-28T10:25:18.374Z" },
+    { url = "https://files.pythonhosted.org/packages/ba/17/ee671b72bf8f46a08379d4392c65582541759a542428197562f2898294ad/kiwisolver-1.5.1-cp311-cp311-musllinux_1_2_riscv64.whl", hash = "sha256:3221f78211074f561c44ca42eac0619828171bec15a2c4cf6f7747d07df76e8e", size = 1960982, upload-time = "2026-08-28T10:25:19.893Z" },
+    { url = "https://files.pythonhosted.org/packages/2e/f7/0e26b4c05bee3bdb0f048dfa305e4fe701999ea17b51e9c616ef91035bbe/kiwisolver-1.5.1-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:0ba9527afc80ae3d7814ed98b6572d02bf85eaf48065678342c5f0c6dab7a8c7", size = 2464918, upload-time = "2026-08-28T10:25:21.65Z" },
+    { url = "https://files.pythonhosted.org/packages/ae/62/6eb431133d30ce656ac1e5ff72fac70dd34d54c3984f4011b9ac8bf77d54/kiwisolver-1.5.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:e12dfea7f5fc2a34a9080efbf79c4c44eb380ec5b9c6fea09407e08f0d1e941d", size = 2270967, upload-time = "2026-08-28T10:25:23.643Z" },
+    { url = "https://files.pythonhosted.org/packages/bf/9f/6f9e489c188200e6fb3193935501894811e8c97577c8ffe9033589bf3521/kiwisolver-1.5.1-cp311-cp311-win_amd64.whl", hash = "sha256:1a7587dc335f2c0f5bd577fd0540bd16c66006bdb60f759a1059f025e6c4f071", size = 70744, upload-time = "2026-08-28T10:25:25.061Z" },
+    { url = "https://files.pythonhosted.org/packages/c6/6d/dfc430d1d43957061599adea3f08ea982bb6f4ab601a8c974bedcf2ba850/kiwisolver-1.5.1-cp311-cp311-win_arm64.whl", hash = "sha256:e4e4523d6f336708d732516e6cfca7796cf3d96c9474eb5aecf6165f2f1fefc3", size = 68404, upload-time = "2026-08-28T10:25:26.186Z" },
+    { url = "https://files.pythonhosted.org/packages/6b/9b/65b302742389c6f96f2956bef5decf26011309feb2fc5d79613af18adea4/kiwisolver-1.5.1-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:63fb7294b768f444eb4b068965f2662f28c2fd4161e23bd60fcf3ff27b74c046", size = 123876, upload-time = "2026-08-28T10:25:27.44Z" },
+    { url = "https://files.pythonhosted.org/packages/71/74/c21f339956f6f691b2ed7e31d5f3ae767304df6c460192739fc830853051/kiwisolver-1.5.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:0ebdef3eae5336568147c39a55be6a2036ffde53faa9ca2d978989ae7c2da12c", size = 66487, upload-time = "2026-08-28T10:25:28.728Z" },
+    { url = "https://files.pythonhosted.org/packages/84/e5/bdb34e21523e01dceda064d63713f3bdec91388af24fba1eca7ea5e85864/kiwisolver-1.5.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:1798e83840c3f627246104c4d8a9639c60fa068adf9ce92b61791781fa8a68c1", size = 64660, upload-time = "2026-08-28T10:25:30.071Z" },
+    { url = "https://files.pythonhosted.org/packages/fc/f4/dadfec469313c7f428efa7e84b4aba9732f813c13ea7131a24b7b008ef57/kiwisolver-1.5.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:34633ecf50d16187ab8e5528b7a2530f2feb4e23f300db4672538b51cfc5cd38", size = 1477929, upload-time = "2026-08-28T10:25:31.495Z" },
+    { url = "https://files.pythonhosted.org/packages/6f/35/09c58daac34e6f6ea5c6dee0094b422118e5a7c265586008a95fd135ac5f/kiwisolver-1.5.1-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d27c2123977cb9269c30a49ba45f03a4323017ef693e19db4ec9dbe1299a3002", size = 1278499, upload-time = "2026-08-28T10:25:33.375Z" },
+    { url = "https://files.pythonhosted.org/packages/19/32/739765e24fbad29d13f83e546ea4abc215a78cea9d677ca09025b027724d/kiwisolver-1.5.1-cp312-cp312-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:6a797a1cefc8b9c93170db580337e1fe3d011ad18b1299943231279406342048", size = 1296677, upload-time = "2026-08-28T10:25:35.059Z" },
+    { url = "https://files.pythonhosted.org/packages/df/32/03304d1010e2cc45e5b3b52cef7e43fed3a2a5cd6c87a89b4a88e1d85b5d/kiwisolver-1.5.1-cp312-cp312-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:2551cf9917af48ee7c4b29cc82320489508cf96fd26a51f6fc124de661cd44c7", size = 1346037, upload-time = "2026-08-28T10:25:36.705Z" },
+    { url = "https://files.pythonhosted.org/packages/3e/57/4c49377bfd274450dd72ecaa13eaac32ea804a03363e4d1db0c5aa999ceb/kiwisolver-1.5.1-cp312-cp312-manylinux_2_39_riscv64.whl", hash = "sha256:38f6e0deb4d0a4615efe0c4efc5990b06ae450ab50a0b321c0b078b6d238c083", size = 988248, upload-time = "2026-08-28T10:25:38.299Z" },
+    { url = "https://files.pythonhosted.org/packages/cb/c3/38df144a08b6c5d75ca4504e5cc3141bb3bfef64c04f4ef48204f42711b6/kiwisolver-1.5.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:bfd1de989b3330420e29de39352f5c049905c9e3ee67233a50d550e3d652c148", size = 2228722, upload-time = "2026-08-28T10:25:40.038Z" },
+    { url = "https://files.pythonhosted.org/packages/e7/11/3221838a89cd64d9b386353e000cd8a296069a20fbe3584507fdfd5bebae/kiwisolver-1.5.1-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:1209042a623ddfda5497e4066c7b77651dde8e1d3a9dd97599dc7e97f3b9b78c", size = 2325216, upload-time = "2026-08-28T10:25:41.699Z" },
+    { url = "https://files.pythonhosted.org/packages/83/d4/075c219230697bb5db910d37262b9bacf880f92b4811a02ab81ed073a253/kiwisolver-1.5.1-cp312-cp312-musllinux_1_2_riscv64.whl", hash = "sha256:26e8268480be5061d509e29669d59103c067a26377a56491630ece11762e3858", size = 1977689, upload-time = "2026-08-28T10:25:43.559Z" },
+    { url = "https://files.pythonhosted.org/packages/bb/08/1d219c3c2dd960983d0d4da623d916e9de6385df2b0bab3d1af0e9b8fccc/kiwisolver-1.5.1-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:d79308fa689fac89cbcfbd4dbfc80b5f95c54c5a7fd4d194be221f9d33d026e6", size = 2491443, upload-time = "2026-08-28T10:25:45.242Z" },
+    { url = "https://files.pythonhosted.org/packages/ba/d3/024208ec1079d273f1047468d1bdffbf38bb75b7b268090fd3a0301b9d9a/kiwisolver-1.5.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:b03af77d77e50edba2030fd5f7c352ff209314b09030a3cba7c14edf9a09a444", size = 2295200, upload-time = "2026-08-28T10:25:46.984Z" },
+    { url = "https://files.pythonhosted.org/packages/6e/7c/7b210498f9f92e1cd7855f260fa69ef056881087b199ee20c208f0e4189a/kiwisolver-1.5.1-cp312-cp312-win_amd64.whl", hash = "sha256:06a6917674de9e0fe3f66f5430787f59a9f2ddb64af9b714eaec547e29ef5c19", size = 70748, upload-time = "2026-08-28T10:25:48.444Z" },
+    { url = "https://files.pythonhosted.org/packages/94/61/ef0daa157c8bb23672f7423e0d14c39db1dc6ef8ed47e6bc54c9c1bef3bf/kiwisolver-1.5.1-cp312-cp312-win_arm64.whl", hash = "sha256:ad8b9671348d7c8716715652ae11f85ed0eb99e265a2df2ca490577d69860b2c", size = 68324, upload-time = "2026-08-28T10:25:49.81Z" },
+    { url = "https://files.pythonhosted.org/packages/08/c1/88018321d976f53c421e379c43bc6993e70ce0c8a3ec5edc4bfe102257f6/kiwisolver-1.5.1-cp313-cp313-ios_13_0_arm64_iphoneos.whl", hash = "sha256:b6ae6a0328f0bc035741820fdeecdcd67bf4694eee03972e843663107122f450", size = 62272, upload-time = "2026-08-28T10:25:51.02Z" },
+    { url = "https://files.pythonhosted.org/packages/85/d2/712bc17ea4f1d216034928069d612defbc6c95a471c55a7203a39faecb1a/kiwisolver-1.5.1-cp313-cp313-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:886fc26012f0e8b5f69d1cfe6d711f6b11f194621539bf8e6bb1c25c5dc82724", size = 64481, upload-time = "2026-08-28T10:25:52.22Z" },
+    { url = "https://files.pythonhosted.org/packages/1b/e6/6c5380d676f43b6d918033962ea5e72360ca69e5a404154bc496b598ffdb/kiwisolver-1.5.1-cp313-cp313-ios_13_0_x86_64_iphonesimulator.whl", hash = "sha256:aefe930d113798330e9462f7874542977869c0613cba3262e2de3a8d5dee8f3a", size = 66260, upload-time = "2026-08-28T10:25:53.387Z" },
+    { url = "https://files.pythonhosted.org/packages/92/6a/7087f5822cc8bb272679641404b1966a42504dac9ee74e2b33840475a0aa/kiwisolver-1.5.1-cp313-cp313-macosx_10_13_universal2.whl", hash = "sha256:a5ca5aebae78a0bc13c1943af4af615d4966c5b650b05d5aa83b50e427196fee", size = 123876, upload-time = "2026-08-28T10:25:54.644Z" },
+    { url = "https://files.pythonhosted.org/packages/5c/4b/9f385087ca09ee5ab9c09c6832561a7d2f7c78d3e5661d511e669f70e439/kiwisolver-1.5.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:1ed0f5e49d0ceff8b72190824d9e59c062fbbc02c231b853112c78474b3f5ec2", size = 66487, upload-time = "2026-08-28T10:25:55.899Z" },
+    { url = "https://files.pythonhosted.org/packages/47/8b/40d33ffd2f378094ed462e9a9a0907e59d4de9845e65a59561272da350d4/kiwisolver-1.5.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:77a4c8187a5948d7f8795adb765a3c7b553d07d86d88e43038fc32fc1fb9a3f3", size = 64673, upload-time = "2026-08-28T10:25:57.048Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/43/86aacc027959108b4c66eeae8b73cedb057dfa6eb3a335d05ad65197081c/kiwisolver-1.5.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:74ad5c3dad54a4641b4c28cd15ded70899d04459c6c7aeacafea716be97cce6d", size = 1477992, upload-time = "2026-08-28T10:25:58.479Z" },
+    { url = "https://files.pythonhosted.org/packages/ed/40/b1d0369048c79733a32c8abb0f2718532e6630641368e33a81384246e844/kiwisolver-1.5.1-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:21e46b23a2da695c364124817bc01d970effd5483147f8d66a6a7167e3f6b851", size = 1278821, upload-time = "2026-08-28T10:26:00.121Z" },
+    { url = "https://files.pythonhosted.org/packages/61/a1/fa71c1792272ff9461432715ae60ffb7e11a4d7ac3bf68961b9cab6c60cf/kiwisolver-1.5.1-cp313-cp313-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:75d9b1cf8258462dbdc1eeda718c96ea7f079324c09067f6daabfcf37712b7fe", size = 1296805, upload-time = "2026-08-28T10:26:01.868Z" },
+    { url = "https://files.pythonhosted.org/packages/a3/49/3f0bd94af8e06ecc47eb834b195a06f05d48711ceb2352c56d6835160f0e/kiwisolver-1.5.1-cp313-cp313-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:8fca690b00c4c48f6c2a547b0160ed511357093a4e4c9b47e0fadf3128066d89", size = 1346109, upload-time = "2026-08-28T10:26:03.59Z" },
+    { url = "https://files.pythonhosted.org/packages/a4/44/3afe6ef9cf06d61220953a8963e94eca978491be1d9547cb01d82a1efa08/kiwisolver-1.5.1-cp313-cp313-manylinux_2_39_riscv64.whl", hash = "sha256:876bbfd276473d3daffe30e8c975df4ed9429967b41a6cb362dbb5155b6f13ad", size = 988252, upload-time = "2026-08-28T10:26:05.306Z" },
+    { url = "https://files.pythonhosted.org/packages/e4/30/a12bd7a7285a211e1747c3eec77b8c614dbfcc1dad942f7611a1a6921ae5/kiwisolver-1.5.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:f942903fde7363d1d879057ec5de01310efda2597161784d752fa9953a01a71a", size = 2228846, upload-time = "2026-08-28T10:26:07.312Z" },
+    { url = "https://files.pythonhosted.org/packages/a1/6b/233e2958abf0dab7b18d07e52f286e02e519d7651bfbbe97af9347564109/kiwisolver-1.5.1-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:c90d3022d8a94778939cda8638c6c8da8fa757b8958dad7ec868ce29c87681b8", size = 2325583, upload-time = "2026-08-28T10:26:09.093Z" },
+    { url = "https://files.pythonhosted.org/packages/42/8e/7673060a27b01405b580058510adef34687069d229800239f5e44682d4d0/kiwisolver-1.5.1-cp313-cp313-musllinux_1_2_riscv64.whl", hash = "sha256:8a34616dc2521cc8dc1d7d081734da63539f021ac0450ce950908340c6e7aa2f", size = 1978221, upload-time = "2026-08-28T10:26:11.127Z" },
+    { url = "https://files.pythonhosted.org/packages/3f/7b/1b882fc1a8b4a0bb8084e7d1d85004116d08c92c0705d31f2928dec607f2/kiwisolver-1.5.1-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:8bf4df63592c2a66b4f8edc5df2544998c288aa02f96ce0acd880cd1de8c8127", size = 2491819, upload-time = "2026-08-28T10:26:13.348Z" },
+    { url = "https://files.pythonhosted.org/packages/39/9c/426deb49e62c5f69464b64bbeca064d3b758a7506b8913d986ef34f4619c/kiwisolver-1.5.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:d09037ca068d784ebc4aec290ef952ca27ac15dd9c0b5801a88c6e1096b83e6b", size = 2295520, upload-time = "2026-08-28T10:26:15.042Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/22/deabbb3ad6d918d74b7831b2d8ae7151b09d21c87974e5ee8a456f58c94c/kiwisolver-1.5.1-cp313-cp313-win_amd64.whl", hash = "sha256:dc23390afe9f4ef9ac3bcc72a03a56eebbde03f4c571a32cb38f859cff9a6524", size = 70758, upload-time = "2026-08-28T10:26:16.504Z" },
+    { url = "https://files.pythonhosted.org/packages/b9/71/02fa5c2fd92068bb8952847e70ee6c5cb280e7febe11653d17812acc53dd/kiwisolver-1.5.1-cp313-cp313-win_arm64.whl", hash = "sha256:186884a58486651e3c217b6acea0a53eaa9498fdd472057c46f2f0fb5c25aad5", size = 68329, upload-time = "2026-08-28T10:26:17.658Z" },
+    { url = "https://files.pythonhosted.org/packages/dd/87/2d5dfad0daf17dcc18d98c48ed2332fc3f051cf599e60be6182a30dd4cf1/kiwisolver-1.5.1-cp314-cp314-ios_13_0_arm64_iphoneos.whl", hash = "sha256:0324cd2567259b7a095f6cf18a52b0ffc6f3de9e69528ff1bc0e7a37bd43ff1a", size = 62337, upload-time = "2026-08-28T10:26:18.778Z" },
+    { url = "https://files.pythonhosted.org/packages/08/c8/83e1624f15d6262b470dbcc80b09979fd4d5b2ea3ddfc6b6e3327e235726/kiwisolver-1.5.1-cp314-cp314-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:74ea337e0ec3f6f342a36a4f1b5cd94dd9affddcd28ba9aae2905af932ee8c6b", size = 64513, upload-time = "2026-08-28T10:26:19.909Z" },
+    { url = "https://files.pythonhosted.org/packages/c9/2d/827ec30eb07f528c08d8459ffb318ae91a56d793ee8acbea8b491f0ff906/kiwisolver-1.5.1-cp314-cp314-ios_13_0_x86_64_iphonesimulator.whl", hash = "sha256:ee9df1f0d77b9c6e94f4ac0fec533fbddd5ea3a327807f18d7b069ae019ded80", size = 66287, upload-time = "2026-08-28T10:26:21.078Z" },
+    { url = "https://files.pythonhosted.org/packages/53/11/5c43a562529dad8def4b81e5e1877c612a7e0298105a5939b3b409d2079c/kiwisolver-1.5.1-cp314-cp314-macosx_10_15_universal2.whl", hash = "sha256:fc271a6f0a2126958f4090e5507b9da5848927dae331f8f763bd4aa642b3d2cd", size = 123940, upload-time = "2026-08-28T10:26:22.475Z" },
+    { url = "https://files.pythonhosted.org/packages/64/db/9bd6c505c95128c258a55236bfbb3a7a3fb6023f863316b6d7d9f3c69052/kiwisolver-1.5.1-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:9b3092d8992a1d69b7a59c3e39f35e1b9be327a17f68a7c35fc17329e337d6f2", size = 66493, upload-time = "2026-08-28T10:26:23.743Z" },
+    { url = "https://files.pythonhosted.org/packages/e1/f4/b3007a3ed5c9be73f81161140684cf7d9bdb9c4b632f5f484d2a1c713fb9/kiwisolver-1.5.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:c2306e8bb53601979fcb3fa09cc65e031876d9ae01eff2fcbcd7a84ef94d5bc1", size = 64720, upload-time = "2026-08-28T10:26:24.95Z" },
+    { url = "https://files.pythonhosted.org/packages/a1/13/08188f0cafa3a800403e4ff62b9aad4e7a17f9c4c7e080dc8f18c64794cf/kiwisolver-1.5.1-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:18a0cfb124546a4c2e6087c5f3029c7f44b37c85b142e0ced71f73a7599ac208", size = 1475867, upload-time = "2026-08-28T10:26:26.393Z" },
+    { url = "https://files.pythonhosted.org/packages/8a/3e/053bdc3c9abdb8f2606225eda398adca25c0c91ab90add8222a69db65ee0/kiwisolver-1.5.1-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:34ec467940442c9943016fb2d4c81d1ba84351eeca2f1a78f8bc87f1ba0d414c", size = 1282865, upload-time = "2026-08-28T10:26:28.118Z" },
+    { url = "https://files.pythonhosted.org/packages/5e/64/a44c341b36b610588cc2f1e89b3cae072a3119aa8be578e90987cd640751/kiwisolver-1.5.1-cp314-cp314-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:a83ee7107df13abe42a54a6654670eef9bb39425cf2e27f65e0007465e1286ab", size = 1300865, upload-time = "2026-08-28T10:26:30.125Z" },
+    { url = "https://files.pythonhosted.org/packages/60/5e/7e7d716dca38c714478b741257a5b4a321d9932b8d851551a136dcaf3984/kiwisolver-1.5.1-cp314-cp314-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:bebb89489b279b2f5661bbbb2abcc87bcd4a46607bb4a5c966f04f1db6b8df9a", size = 1348071, upload-time = "2026-08-28T10:26:31.829Z" },
+    { url = "https://files.pythonhosted.org/packages/10/1a/2b98fdda8bf45b7be317e48ed12393d44334394d315c74b81f4a14c0e31b/kiwisolver-1.5.1-cp314-cp314-manylinux_2_39_riscv64.whl", hash = "sha256:509735237ae0d849e8a843551d423d2500d2e0a9ac1611a145658b29c0fb9f85", size = 992191, upload-time = "2026-08-28T10:26:33.544Z" },
+    { url = "https://files.pythonhosted.org/packages/b6/55/d893f5ede0e50f9e3fcf01f6015f42ec7d9cd221e26772701fe4a98745f9/kiwisolver-1.5.1-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:824c3d763a05ea9e9003610145186b0e9848c7584a5575c79bac5a8e7cd80bad", size = 2233854, upload-time = "2026-08-28T10:26:35.282Z" },
+    { url = "https://files.pythonhosted.org/packages/b1/82/f85f6279555a6ee1639fef7bfe83adb037a03e11a6fc9eaa54b8d0380339/kiwisolver-1.5.1-cp314-cp314-musllinux_1_2_ppc64le.whl", hash = "sha256:1fff05e239575b1481b6ed1a782f6fad616efbf1f0b1f44e6e85c4dfe426e483", size = 2330621, upload-time = "2026-08-28T10:26:36.9Z" },
+    { url = "https://files.pythonhosted.org/packages/56/31/e11aea078f66fc2fffcc179d38ca90d9da97652a241b64519169742ba46a/kiwisolver-1.5.1-cp314-cp314-musllinux_1_2_riscv64.whl", hash = "sha256:0627b9bceb9c3cdcf12b8a18655eedfed2692b038df27423383c120d0b7dc2d6", size = 1982848, upload-time = "2026-08-28T10:26:39.01Z" },
+    { url = "https://files.pythonhosted.org/packages/af/ea/2956b63bf5140ca46aa2c2818e6aa03e2d5754dd2fa41db1c6b28922940c/kiwisolver-1.5.1-cp314-cp314-musllinux_1_2_s390x.whl", hash = "sha256:8a708a47ade1fe19e8371d5da076bac0dd4b0a5a7985ad6c637f7f7e361b6baa", size = 2494850, upload-time = "2026-08-28T10:26:40.837Z" },
+    { url = "https://files.pythonhosted.org/packages/11/d1/3829542258d8b3fc0898d221e7ef0e2c83eca0d348709bb8dbe54f3d4005/kiwisolver-1.5.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:007a5553dfc4f4e8d184f588a0200e2cd4b63a59cc8796df3c39909e679dc7a0", size = 2298067, upload-time = "2026-08-28T10:26:42.803Z" },
+    { url = "https://files.pythonhosted.org/packages/4e/0e/49522e1ab5788cbaf63a26fbd3b851f9028616828c961b8a31b35cb96df8/kiwisolver-1.5.1-cp314-cp314-win_amd64.whl", hash = "sha256:f4167e87b397f273dc2356fcf1eaf50a6bac51e6105f45103ef7129c8efb0255", size = 72282, upload-time = "2026-08-28T10:26:44.268Z" },
+    { url = "https://files.pythonhosted.org/packages/f5/b6/22e7ca5315d363e6f81c9f37c9472e12e7b298731e77c0428e6a911a2c39/kiwisolver-1.5.1-cp314-cp314-win_arm64.whl", hash = "sha256:5c490db2168a508088f59140dd392556a54b8bd1048fc6383c8baff13c359673", size = 69855, upload-time = "2026-08-28T10:26:45.725Z" },
+    { url = "https://files.pythonhosted.org/packages/30/8c/03a9cfbe871964c8758a816eb03ac96c806da2795a9a7cd9bf9648bfb594/kiwisolver-1.5.1-cp314-cp314t-macosx_10_15_universal2.whl", hash = "sha256:4d4ca09bf13cff792b1884f64b98ee6c2467930d632233be25c56b442d99f10e", size = 126289, upload-time = "2026-08-28T10:26:47.023Z" },
+    { url = "https://files.pythonhosted.org/packages/f2/e3/14ce3041ca79dff9c9d884ca00c7bf32374e76028a865a9ecd99b4f5a517/kiwisolver-1.5.1-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:44b8faef94f1857e77fa0238f3390ff1ac51d2ea20a487e2e452a59fd2b5f5ca", size = 67709, upload-time = "2026-08-28T10:26:48.268Z" },
+    { url = "https://files.pythonhosted.org/packages/af/c4/45030471a66ec8ef042e9f96ffe1d522c9ab12da180186a0898966fc1385/kiwisolver-1.5.1-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:2ae70bc59790d2af72a3f76f24b272403e135070340281108b447cb77ea70819", size = 65909, upload-time = "2026-08-28T10:26:49.523Z" },
+    { url = "https://files.pythonhosted.org/packages/42/73/17dce073a6ae259bb32cf9d686c4079d2e538868bc45967462bf33df914a/kiwisolver-1.5.1-cp314-cp314t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:43844c1a7ad6d723d5b5b4c4fc7f5bd399c40e288120d16257c7c9e8765c6e85", size = 1584907, upload-time = "2026-08-28T10:26:50.933Z" },
+    { url = "https://files.pythonhosted.org/packages/8c/84/ae3c75909f507283cbfcc7e916c7e822579ef962020b97e6882b27b4478f/kiwisolver-1.5.1-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:22d5e5aaad6be121f2515765e3b1c444352cb8eb4c86510801db8f2e50757316", size = 1392474, upload-time = "2026-08-28T10:26:52.638Z" },
+    { url = "https://files.pythonhosted.org/packages/34/31/8bcc83caad5bce8fa4577152389848bf6bc110e51e573a2b4e7c2aa34c89/kiwisolver-1.5.1-cp314-cp314t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:3fa5855898f6d3d01b72ccd48a2d65cbdee301251603fefe34e2025bddba219c", size = 1405246, upload-time = "2026-08-28T10:26:54.248Z" },
+    { url = "https://files.pythonhosted.org/packages/55/72/220345537d790cf4ae54f8acfff4b5cc2468e0702a384d651cf7a771c63e/kiwisolver-1.5.1-cp314-cp314t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:d66a64dd5dec136040ec2ae94aa026a912ee60fdd45bc28d3db30037fd809e88", size = 1456099, upload-time = "2026-08-28T10:26:56.042Z" },
+    { url = "https://files.pythonhosted.org/packages/cd/10/3725fd2398f66d18c34b4e0f81a8d03764cd4f4f089f58a527f0b4428086/kiwisolver-1.5.1-cp314-cp314t-manylinux_2_39_riscv64.whl", hash = "sha256:9e51c119992ea8820706871c30a4642ec76de20ae82f9b50b9a45517d8e9f810", size = 1073695, upload-time = "2026-08-28T10:26:57.658Z" },
+    { url = "https://files.pythonhosted.org/packages/86/cb/28d6e09e66b93e4588b2e6b7d84d020ccefea09e2f4de788510a07efeab7/kiwisolver-1.5.1-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:70ed9a45c7484d2b30cdacf60d220f494a1763b9fec1ad03285c6553fa0889f2", size = 2335355, upload-time = "2026-08-28T10:26:59.202Z" },
+    { url = "https://files.pythonhosted.org/packages/6a/b3/a0f31d5e4e40af7dc97c36b8a74fdd3a36cf3c8bbd098da9a23466ff6a94/kiwisolver-1.5.1-cp314-cp314t-musllinux_1_2_ppc64le.whl", hash = "sha256:98b208a7cc42c803445ef551d6753cc42a5ea13e9cab1ee66cd8b9cb70195330", size = 2426524, upload-time = "2026-08-28T10:27:01.181Z" },
+    { url = "https://files.pythonhosted.org/packages/2f/c9/728f63bd58c72cafdc79fc306abeeac7391bec03b757a48dadeb30906521/kiwisolver-1.5.1-cp314-cp314t-musllinux_1_2_riscv64.whl", hash = "sha256:c6834b92dd2428e2dd85ef3d85f723d3c12f20aaf43a2ddd4f944ca25d833408", size = 2063430, upload-time = "2026-08-28T10:27:03.06Z" },
+    { url = "https://files.pythonhosted.org/packages/84/df/ce188b96f92f9a2c958231da140768918cba53c9713dc887b82f85462118/kiwisolver-1.5.1-cp314-cp314t-musllinux_1_2_s390x.whl", hash = "sha256:5d142e352eb13facc7dd047489aebdff6ba78576c239f1ea04931979caaf0567", size = 2597513, upload-time = "2026-08-28T10:27:05.072Z" },
+    { url = "https://files.pythonhosted.org/packages/69/d6/76947c8203768968382e5bd74d9cc95654746703a61ea53015f2c74a2e06/kiwisolver-1.5.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:f9b1c4900736e489a812c529100de4b8fb617d4db075e931e213c57424b83d9b", size = 2394488, upload-time = "2026-08-28T10:27:07.423Z" },
+    { url = "https://files.pythonhosted.org/packages/e4/d4/14b21e4eb203c4d15425e8b6a2c625a320b4a1f2f7557eead63ffc30ffb7/kiwisolver-1.5.1-cp314-cp314t-win_amd64.whl", hash = "sha256:5978c3340f16a35c30f8ab2fa7bcf559973c55f1a5ef6970e1f621acf3c4db13", size = 75404, upload-time = "2026-08-28T10:27:08.892Z" },
+    { url = "https://files.pythonhosted.org/packages/cb/f5/53157899fc7f45f76421b77b99eb1639dd0f83f26ff9d76300c96bb4a3b0/kiwisolver-1.5.1-cp314-cp314t-win_arm64.whl", hash = "sha256:ca307d6c259e5c98d3cb9ade55342b47a6839762caf2536f3d7b46ee660cc82e", size = 72946, upload-time = "2026-08-28T10:27:10.944Z" },
+    { url = "https://files.pythonhosted.org/packages/75/62/f786c3a27f181fa339d851a77e266d208e776b9883cabc40a5b041a31b5a/kiwisolver-1.5.1-cp315-cp315-ios_13_0_arm64_iphoneos.whl", hash = "sha256:bb7c99f0673c03017a3ee01e54a5c2617a05468b11eabe513b0080e063ed95b1", size = 62420, upload-time = "2026-08-28T10:27:12.308Z" },
+    { url = "https://files.pythonhosted.org/packages/02/cd/58a91ed25fbad0facdf503297b03768efab04bdf3141e5e3b49a34be7443/kiwisolver-1.5.1-cp315-cp315-ios_13_0_arm64_iphonesimulator.whl", hash = "sha256:0d8924877ce22e17326a99a418c3c82037da078df3c6a260b13eca677444e6e7", size = 64577, upload-time = "2026-08-28T10:27:13.502Z" },
+    { url = "https://files.pythonhosted.org/packages/f6/5c/d501ef5a0958b226eac28306d24d5e5f114be0ace50e19cabae7b6b3b197/kiwisolver-1.5.1-cp315-cp315-ios_13_0_x86_64_iphonesimulator.whl", hash = "sha256:534f02c1abb31ed6dbd3515545285c330b2f12d00fdb1fdb71658b9ca5a13a6a", size = 66284, upload-time = "2026-08-28T10:27:14.813Z" },
+    { url = "https://files.pythonhosted.org/packages/a3/a6/8fbecaf4fc18c02f31f05e47a84c010a80e3ec391ed2f0bdade1d62b5954/kiwisolver-1.5.1-cp315-cp315-macosx_10_15_universal2.whl", hash = "sha256:cea20da04494e662b83c872683bf4ff2345206043d036315ed0e924b652e7294", size = 124031, upload-time = "2026-08-28T10:27:16.193Z" },
+    { url = "https://files.pythonhosted.org/packages/7c/c6/bf3090d2983b4204347cbdbe952116e7c3b2abf62b4e33e50167a13e75ee/kiwisolver-1.5.1-cp315-cp315-macosx_10_15_x86_64.whl", hash = "sha256:7fd82debf43c6acd0a94359d232f6bb516ee13f269a7993736a9ac9f988bb5d9", size = 66489, upload-time = "2026-08-28T10:27:17.506Z" },
+    { url = "https://files.pythonhosted.org/packages/85/de/562dddef55fdd7c291da8626d6619e72b5fc0870e6ccca0e149a5731e7f3/kiwisolver-1.5.1-cp315-cp315-macosx_11_0_arm64.whl", hash = "sha256:18170a77ddfecf40ec60d0928268dc95880c881864e015a8f34094ed18b9b9ad", size = 64806, upload-time = "2026-08-28T10:27:18.673Z" },
+    { url = "https://files.pythonhosted.org/packages/89/b1/ba7b9c0164ce1cf62bf2872db63b8483289cf0f3110d6f9390eb09e409ed/kiwisolver-1.5.1-cp315-cp315-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ca7f6fe0f37ca978a1e5eb7a3a68e6413f417e78e838324947ffd420202b198b", size = 1482211, upload-time = "2026-08-28T10:27:20.039Z" },
+    { url = "https://files.pythonhosted.org/packages/13/dc/34da54efb4976616d45c20aae32d70e89d6e7395ed908029154d1609ef22/kiwisolver-1.5.1-cp315-cp315-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5b973887ff782cfd6b67c9904ad8ca542e0bc5e4961503408b423b5a688b4d38", size = 1283739, upload-time = "2026-08-28T10:27:21.82Z" },
+    { url = "https://files.pythonhosted.org/packages/5a/3a/30ffb62bee646e266e98a1b5cd276d9c75b6116fbfcb87c1190838c1b6df/kiwisolver-1.5.1-cp315-cp315-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:f76fc85bd054c806960f917ec0f329e24e436f1712267d90588e4c39890caa63", size = 1301681, upload-time = "2026-08-28T10:27:23.876Z" },
+    { url = "https://files.pythonhosted.org/packages/a9/8d/13c70be22a8506880b35fdc38dca36629613bc493405c79f4037f2cd2bb9/kiwisolver-1.5.1-cp315-cp315-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:828f75af2b0080c8a972e75f649ab46af008e92c6104a57a759157200b835b75", size = 1349159, upload-time = "2026-08-28T10:27:25.899Z" },
+    { url = "https://files.pythonhosted.org/packages/82/0e/993972b8ec6767f47cd69818fb3a5ff14510557d29f7d1a839be7574fa1b/kiwisolver-1.5.1-cp315-cp315-manylinux_2_39_riscv64.whl", hash = "sha256:431dc224a1a92a5c8f582d96e505196a3b5997a7271076678da2dfde67b77e9a", size = 997613, upload-time = "2026-08-28T10:27:27.507Z" },
+    { url = "https://files.pythonhosted.org/packages/36/82/ca26eddd2eda2420dfc56693449c1f821f78b485da9cbde9904c03af3f93/kiwisolver-1.5.1-cp315-cp315-musllinux_1_2_aarch64.whl", hash = "sha256:61e9a64c7635095a6bfe483e2ff055d437c59bd45f3617a228b37277f0185d62", size = 2235109, upload-time = "2026-08-28T10:27:30.113Z" },
+    { url = "https://files.pythonhosted.org/packages/c7/84/97d920881e10840b8d7c7185620298e3e4c88820b05514e3a15a258b08a6/kiwisolver-1.5.1-cp315-cp315-musllinux_1_2_ppc64le.whl", hash = "sha256:3c24cd69455e1b00ddf770c13b6e2c33e07d6dc3f2d34add0bf9277c5c6bbd46", size = 2331207, upload-time = "2026-08-28T10:27:32.795Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/ce/34d74b8f25acc58800f4c09268371e8d6159cf0f1206f1e4dc7835629b48/kiwisolver-1.5.1-cp315-cp315-musllinux_1_2_riscv64.whl", hash = "sha256:27add358abe374ebaa3b8763ef380bc99051b5a4b18d94878366a9e4f59efef0", size = 1986696, upload-time = "2026-08-28T10:27:34.628Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/01/f892644014612527aef7031d3306a2ffc60b3cb044f802c1561f8e5e14f3/kiwisolver-1.5.1-cp315-cp315-musllinux_1_2_s390x.whl", hash = "sha256:255605693a483db7bd5c79f60437f7bf658f7f520d61aa42722e32257c941951", size = 2496400, upload-time = "2026-08-28T10:27:36.818Z" },
+    { url = "https://files.pythonhosted.org/packages/32/6d/d8284e66e697026536e5f418b9cfe56567bffd3c775e3ecfbae373605854/kiwisolver-1.5.1-cp315-cp315-musllinux_1_2_x86_64.whl", hash = "sha256:7d38b0c279c3032e8c9cc013b405c6df8e1668dbf15465779aa7f15f61201812", size = 2302967, upload-time = "2026-08-28T10:27:38.803Z" },
+    { url = "https://files.pythonhosted.org/packages/46/0a/69a355e27f32ba50d5b6369949b6a1702e122f5277c89bc76d452b81c1c4/kiwisolver-1.5.1-cp315-cp315-win_amd64.whl", hash = "sha256:958254518717542d02d0688d0d20cbf771da5e415e6f49543f92481c850a4540", size = 72283, upload-time = "2026-08-28T10:27:40.491Z" },
+    { url = "https://files.pythonhosted.org/packages/ef/d8/7a95be90c33dcdd52204d4aa6384d731443225b887283bbd8b61e7931f6c/kiwisolver-1.5.1-cp315-cp315-win_arm64.whl", hash = "sha256:da3275833be0edbaf4830fae08bae3dc7219f40ce0c37eaa6c25825957e06612", size = 69860, upload-time = "2026-08-28T10:27:41.835Z" },
+    { url = "https://files.pythonhosted.org/packages/31/f8/9bc493e7f5707788ba7f621902c68f82dc3a7ba03c78fbd337b026cef1ed/kiwisolver-1.5.1-cp315-cp315t-macosx_10_15_universal2.whl", hash = "sha256:470d420f98d368d6f010633a20659b544c5fdfa5329e6b70219f2ef08fd4a7ef", size = 126336, upload-time = "2026-08-28T10:27:43.379Z" },
+    { url = "https://files.pythonhosted.org/packages/d1/82/3aea86b3f99712db825e9ac5631bf99571e818a8b8961ff98cebd798413e/kiwisolver-1.5.1-cp315-cp315t-macosx_10_15_x86_64.whl", hash = "sha256:83f78128fa28705fa85d01c59771c72fe81c11bd0e6155edbb9f818983a7d761", size = 67698, upload-time = "2026-08-28T10:27:44.613Z" },
+    { url = "https://files.pythonhosted.org/packages/84/7d/8daafc5d2e7f9c47a4f78f8865d86d2a9cf399c2a85f86c44a993594410c/kiwisolver-1.5.1-cp315-cp315t-macosx_11_0_arm64.whl", hash = "sha256:9506e892bcc3b409831d363c6f53e5985e1c8d1f6f6b0256d00358684ff85378", size = 65945, upload-time = "2026-08-28T10:27:45.932Z" },
+    { url = "https://files.pythonhosted.org/packages/3d/c9/51dc974d9130da70a8c47a96160123443d387ffe1b6b833d6f91d9429339/kiwisolver-1.5.1-cp315-cp315t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:cea90547bfd93807e0013a004dc76552be44fad3bc1cc2b38610a9e889ed098f", size = 1588030, upload-time = "2026-08-28T10:27:47.678Z" },
+    { url = "https://files.pythonhosted.org/packages/e6/86/f3e1a730e7a995149d8d3ff9e313b6d8a17b2cf1d98a8eff139dc30463fb/kiwisolver-1.5.1-cp315-cp315t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e8e4d953faaded9ec7ede36824e9814082d22d4c7b1eafbfa079ecba8cd0d076", size = 1390760, upload-time = "2026-08-28T10:27:49.676Z" },
+    { url = "https://files.pythonhosted.org/packages/4f/3b/8ba25a2b5a0d2375e046f1b72de5179513f0be95aba6e7b094c89303929f/kiwisolver-1.5.1-cp315-cp315t-manylinux_2_24_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:7e9c01d3dd7ceba4d1d436cc021d40d592466e40b9bc7f5d83dc4e98a5c9cd8c", size = 1403279, upload-time = "2026-08-28T10:27:51.242Z" },
+    { url = "https://files.pythonhosted.org/packages/18/d0/278d5cb8be812740027d5ca0a7eda0c375488a88d6dce0fa60fcc2591ad2/kiwisolver-1.5.1-cp315-cp315t-manylinux_2_24_s390x.manylinux_2_28_s390x.whl", hash = "sha256:37f801b5d7cc0e5a548921308e059fd2b057bb42972b591cfa3049f95423c4ed", size = 1454429, upload-time = "2026-08-28T10:27:53.213Z" },
+    { url = "https://files.pythonhosted.org/packages/94/37/bcbab41063ec284c1d200efe5087cf087798c2f8916960aa8a20dd303290/kiwisolver-1.5.1-cp315-cp315t-manylinux_2_39_riscv64.whl", hash = "sha256:e68e151428b5384f766cd25739bf77c7e4a3dc93b5ded7a12118d9fbfdf78ab6", size = 1073225, upload-time = "2026-08-28T10:27:55.089Z" },
+    { url = "https://files.pythonhosted.org/packages/cb/c5/ab79dcdf5ae28909a51210ae0a1c579e97ff997b3466414f0d04c0994583/kiwisolver-1.5.1-cp315-cp315t-musllinux_1_2_aarch64.whl", hash = "sha256:8f8fddb8e323bd6eee4e54e69a39243beab22689070f4c66b472c4cc88bb89d8", size = 2334335, upload-time = "2026-08-28T10:27:56.78Z" },
+    { url = "https://files.pythonhosted.org/packages/8d/8e/71d047468a189041d9c93f3b76844b924f9793b188c44bd149fa258912da/kiwisolver-1.5.1-cp315-cp315t-musllinux_1_2_ppc64le.whl", hash = "sha256:3cc210010fd2f438a3ed430b45f1b501fd13a8618bf984dc2c5ce5b69b78752e", size = 2424982, upload-time = "2026-08-28T10:27:58.639Z" },
+    { url = "https://files.pythonhosted.org/packages/7d/37/1347461bbea6d0e1f0580b94ef603b18e72c2be5f667fa1653867361a00b/kiwisolver-1.5.1-cp315-cp315t-musllinux_1_2_riscv64.whl", hash = "sha256:b5664603a253efd3a75716d793d1d3a6a82723b61dc6db767b2460bbbeec4c0f", size = 2062857, upload-time = "2026-08-28T10:28:00.407Z" },
+    { url = "https://files.pythonhosted.org/packages/1f/87/c7f0976c9cd0d127643351bc0c9929e0b8899d7f49d4ec238cd909e39c42/kiwisolver-1.5.1-cp315-cp315t-musllinux_1_2_s390x.whl", hash = "sha256:a7b85b2cc6ea45e5f7e8c9a30bc9fabd47cda09106cbb4b967335c3e6c43b69d", size = 2596022, upload-time = "2026-08-28T10:28:02.183Z" },
+    { url = "https://files.pythonhosted.org/packages/e3/9a/59a6f6ae6f938c15076be2c21b6cedea973d71bb1349ec84fa485fab82cf/kiwisolver-1.5.1-cp315-cp315t-musllinux_1_2_x86_64.whl", hash = "sha256:ab620eb663952455271ac37f9aaad86b73c969c02f11f53cea405b38e96a4300", size = 2395634, upload-time = "2026-08-28T10:28:03.977Z" },
+    { url = "https://files.pythonhosted.org/packages/e9/2d/8982c1fb7926da5bb7ed60318c3665b5c3f941447271ac982960a11b8637/kiwisolver-1.5.1-cp315-cp315t-win_amd64.whl", hash = "sha256:cb6fae641357ed2f6e533c0d3c6504a4a5703621a50c89459e46051d56b61140", size = 75379, upload-time = "2026-08-28T10:28:06.307Z" },
+    { url = "https://files.pythonhosted.org/packages/07/78/ba7b6dfa1708b82b373ac056928a30c545d5c1a627df9839dcec3c6c1881/kiwisolver-1.5.1-cp315-cp315t-win_arm64.whl", hash = "sha256:b390aec180a7c054919c04898835e1c77bced23ea8383eb2c570213bf25d1a86", size = 73011, upload-time = "2026-08-28T10:28:07.578Z" },
+    { url = "https://files.pythonhosted.org/packages/a9/c4/1407df7512a5b36cc79840e01710dc575733c461b13ab866cae77eaf87f3/kiwisolver-1.5.1-graalpy312-graalpy250_312_native-macosx_11_0_arm64.whl", hash = "sha256:482676e5bd48d70ac99d9fc78863469845421e01184fa83f1f9366dc49f7e974", size = 134002, upload-time = "2026-08-28T10:28:08.881Z" },
+    { url = "https://files.pythonhosted.org/packages/16/45/c37a21ad5c0ab581a93c55ad544721aaa1f0ae94edb29c6a678a23d013e6/kiwisolver-1.5.1-graalpy312-graalpy250_312_native-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:072bdb15a3c19a5b5dbc8f8fb1f4e1884bf4f3507eeb4cc6334401274d37a5c0", size = 194292, upload-time = "2026-08-28T10:28:11.06Z" },
+    { url = "https://files.pythonhosted.org/packages/a6/c1/69f00d627949580e43d57af0aa465df46868d7c29801c137a55374101294/kiwisolver-1.5.1-graalpy312-graalpy250_312_native-win_amd64.whl", hash = "sha256:a5a00665d1a0e26763a7338d7e911d4598fbc1d50dd0d6b7919b7dc6c5d6569f", size = 73362, upload-time = "2026-08-28T10:28:12.449Z" },
+    { url = "https://files.pythonhosted.org/packages/b5/1d/59ba570b1774e95e97fde3a0981b2e22118a7a495f73bf74cedc538566a0/kiwisolver-1.5.1-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:416ba7ff9f233b7036689bb5a3783537e838ad483f63558d2a800f75afe738b1", size = 59450, upload-time = "2026-08-28T10:28:20.383Z" },
+    { url = "https://files.pythonhosted.org/packages/22/98/a6849f04dc18b5400e8b98affa2cd8fd86ed583085f036e57b32e571f4fa/kiwisolver-1.5.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:8af9b142ad719ae3a911ebf616bc4b78b32bbab84d6a40d3ad2f129670509957", size = 57400, upload-time = "2026-08-28T10:28:21.632Z" },
+    { url = "https://files.pythonhosted.org/packages/f4/ce/a7dc71353dd06a4cbe02222773f52d4a28c81e5a452a75797f8ed113dc99/kiwisolver-1.5.1-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5daa1f19e097050b9c4d9a78fcc9263cb96c9dfae08037ddc1b7c4ad1889f2a2", size = 79891, upload-time = "2026-08-28T10:28:22.936Z" },
+    { url = "https://files.pythonhosted.org/packages/10/b1/d61c61a84ff85d1a36a99df2c152b59ffedb1d356c598902aba44abcdb60/kiwisolver-1.5.1-pp311-pypy311_pp73-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:cdaeeb6c350106df6bf9d873395973e5f066a9713200b72cd64f55d0a3eafab6", size = 77605, upload-time = "2026-08-28T10:28:24.322Z" },
+    { url = "https://files.pythonhosted.org/packages/d3/52/5aef56f21a460a6e43ab3cdfc7697d59d7b87deb0ec97a0f7b91aa4a521b/kiwisolver-1.5.1-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:17851e5dad4484be0cbccbde3b15331deae036de9aebd45eed964487802b172f", size = 98465, upload-time = "2026-08-28T10:28:25.696Z" },
+]
+
 [[package]]
 name = "lxml"
 version = "6.1.3"
@@ -643,6 +1011,71 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/03/5c/91fe48856f9f8089be3096fa4dbe4b3fb5526f3bf3e852ea9497f399cb9f/lxml-6.1.3-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:bc8dd3d9c93e70c3df974a201ac2958b6d77b465d813c51d1f15fa8e645763ae", size = 3511258, upload-time = "2026-09-02T14:46:49.046Z" },
 ]
 
+[[package]]
+name = "matplotlib"
+version = "3.11.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "contourpy" },
+    { name = "cycler" },
+    { name = "fonttools" },
+    { name = "kiwisolver" },
+    { name = "numpy", version = "2.4.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.12'" },
+    { name = "numpy", version = "2.5.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.12'" },
+    { name = "packaging" },
+    { name = "pillow" },
+    { name = "pyparsing" },
+    { name = "python-dateutil" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/49/64/f9a391af28f518b11ad45a8a712353c94a0aefce09d3703200e5c54b610a/matplotlib-3.11.1.tar.gz", hash = "sha256:69647db5746941c793d6e445a4cd349323ffb87d9cc958c2ad84a659b4832d30", size = 32612045, upload-time = "2026-07-18T03:39:46.63Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/6e/d0/791aa183dd88491555cf7d4be0b52b0bcf6c3c2a2c22c815a2e819bf53e2/matplotlib-3.11.1-cp311-cp311-macosx_10_12_x86_64.whl", hash = "sha256:b7cf158e7add54a8d51ac9b5a84abd6d4e13ed4951b4f25f1c5139f41c2addb2", size = 9440302, upload-time = "2026-07-18T03:38:03.844Z" },
+    { url = "https://files.pythonhosted.org/packages/35/74/82bbdf683a301f4478384c8aaba6903631a2ca18294b2d7655c9a542bffb/matplotlib-3.11.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d2ace7273b9a5061a3b420918a16fae1f2dc5dfee1abcc13aba71b5d94b1820c", size = 9268549, upload-time = "2026-07-18T03:38:06.144Z" },
+    { url = "https://files.pythonhosted.org/packages/f0/f0/9b4298911303f74e6d83e64a81d996c0616405ec95046fac7f17e4258b9e/matplotlib-3.11.1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:aee55e9041211bf84302ab55ec3965df18dd90ae19f8b58332a7feaf208bfe83", size = 10024922, upload-time = "2026-07-18T03:38:08.236Z" },
+    { url = "https://files.pythonhosted.org/packages/84/6f/0bc3c3d05b021db44c14bc379a7c0df7d57302aa15380c16fd4e63fd6a9b/matplotlib-3.11.1-cp311-cp311-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:96f4bdeea33a8d15a071dbfe6d119451b1d719c733ac666d65357082901a9099", size = 10832170, upload-time = "2026-07-18T03:38:10.276Z" },
+    { url = "https://files.pythonhosted.org/packages/db/4d/e375f39acdb2af5a9342730618608e39790ec842e6f1b392863028781459/matplotlib-3.11.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:b4c78ceb2f11bcac7389d305cda17aeb1f4586a857854ab5780bd3dd8dbfc407", size = 10916701, upload-time = "2026-07-18T03:38:12.512Z" },
+    { url = "https://files.pythonhosted.org/packages/bc/be/fa26ed085b41298f64a8f9b7592c671bbf1acc8b0df124c1c5de96b859f8/matplotlib-3.11.1-cp311-cp311-win_amd64.whl", hash = "sha256:7f33a781e12b1e53b278deb2f5373c2e55ec4f10727be3440c0cfb5cda9f944f", size = 9315331, upload-time = "2026-07-18T03:38:14.949Z" },
+    { url = "https://files.pythonhosted.org/packages/b6/f3/eb5bdf3b6e191b200db298b08bbc1638b7f3c82cdc8680f9d88bf72559ae/matplotlib-3.11.1-cp311-cp311-win_arm64.whl", hash = "sha256:67e4c3cd578c65ebd81bdc09a1b6592ceafee6dfafe116dc85dfcb647b5bbb18", size = 9003475, upload-time = "2026-07-18T03:38:17.205Z" },
+    { url = "https://files.pythonhosted.org/packages/f2/6c/7ef7ebcb2bd9739b2b66b18b076e077f44bb46fdbe28ca0506edb3c62c79/matplotlib-3.11.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:e15ef41507f3d525f46154ac9e3ae785dacde9f20e593a25de8986267892ef74", size = 9453849, upload-time = "2026-07-18T03:38:19.593Z" },
+    { url = "https://files.pythonhosted.org/packages/eb/f8/6d0c312c8d9738e7d9677f09fe5c986b3239e651a7b73a2deb38b65e4a71/matplotlib-3.11.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:21a67b961a6d597bca54fae826cd20695ba4a6e4d05424a08da6e13e3176fd6b", size = 9283113, upload-time = "2026-07-18T03:38:21.95Z" },
+    { url = "https://files.pythonhosted.org/packages/c9/cf/b4ad2cc81b6672ea29ea04e64e350a9f9b493b0908ccd884c67eeff8f7b2/matplotlib-3.11.1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ba8f811b8ddfac493734d6af0b2dff96919d0c28ca0d641858dab4262777c6ea", size = 10035615, upload-time = "2026-07-18T03:38:24.315Z" },
+    { url = "https://files.pythonhosted.org/packages/88/90/4e10e033d9b66589d8ed98b84c95cdbb57033d57c1f41339d7393dbd2f2e/matplotlib-3.11.1-cp312-cp312-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c52f7ad20ef476806ed212380b1d54d20310c8b86bdc2c9a68b51f0024a44472", size = 10842559, upload-time = "2026-07-18T03:38:26.285Z" },
+    { url = "https://files.pythonhosted.org/packages/88/eb/799612d0f8cd3e816a10fec59329fca52cd2353264df80378dfc541ae855/matplotlib-3.11.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:8b14eb22961fe865efb0e4ff167e333e428908b00115a8d800ccb65ee108e481", size = 10927532, upload-time = "2026-07-18T03:38:28.532Z" },
+    { url = "https://files.pythonhosted.org/packages/88/89/56649bbaa2fd12e20f3be03dbcc135b0c8676d88bac17977599e3eb442a0/matplotlib-3.11.1-cp312-cp312-win_amd64.whl", hash = "sha256:88a2a27dd9691ae448dfae4b26f59036be90c3c28757edd3553a29559d00859f", size = 9333886, upload-time = "2026-07-18T03:38:30.477Z" },
+    { url = "https://files.pythonhosted.org/packages/c1/11/4d124efbbad677b7b7552f6f85a3bd432d4232f95400cea98fcd2ae36ef3/matplotlib-3.11.1-cp312-cp312-win_arm64.whl", hash = "sha256:480194afceca4df2f137c2721227d3cba67121fbf4397b69cee7f83714b0a58a", size = 9007545, upload-time = "2026-07-18T03:38:32.833Z" },
+    { url = "https://files.pythonhosted.org/packages/04/6c/4798363b7fb5644e309fe1fac30216e9146c9f70859d80d588c18caf5317/matplotlib-3.11.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:6771b0cd7838c6a857a7209814158c0ad09bfef878db3033dd82d70ad101f191", size = 9454341, upload-time = "2026-07-18T03:38:35.001Z" },
+    { url = "https://files.pythonhosted.org/packages/59/98/6acadbe7f98df19d274bc107ac58bb439fa75df82c33dc110d71a4a8501f/matplotlib-3.11.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:2abdee5ffa2fe11b2d19f7a5c63b785fb7c28cc46c7bc1814156341d9d1a33e1", size = 9283627, upload-time = "2026-07-18T03:38:37.061Z" },
+    { url = "https://files.pythonhosted.org/packages/24/ea/65cec46fe241390ccea1b1754207ee28eb71c5ab866bd5f22fe47e538fa4/matplotlib-3.11.1-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:b0a19dcf73406d3746d25a5ed42d713604c9a3e024d129b102852b0d941cb9f3", size = 10035860, upload-time = "2026-07-18T03:38:39.663Z" },
+    { url = "https://files.pythonhosted.org/packages/c7/10/63fdccccbabe002fb0960876baabc5e3f24d9c1bb4cfb25651457f74b3a0/matplotlib-3.11.1-cp313-cp313-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:7389b77ed2ab0552f46d9a90b81b7b8e6dfcdc42adc36c37a0865799843e0e3e", size = 10843594, upload-time = "2026-07-18T03:38:42.144Z" },
+    { url = "https://files.pythonhosted.org/packages/98/51/a1155945bff7b91381875022ac1522c5dfdac0d006be8e7df389b3134eae/matplotlib-3.11.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:c90be0b73568da4f662afac580956a76e308437e641b4a45aa08925eeb67d95f", size = 10927962, upload-time = "2026-07-18T03:38:44.302Z" },
+    { url = "https://files.pythonhosted.org/packages/0d/3a/3d5e1f42dc761bf53401a62a83ff93389b37de9d2c093b2a3aa49ac34f1b/matplotlib-3.11.1-cp313-cp313-win_amd64.whl", hash = "sha256:68408341f2312836fbbdf6b3c78047f65b2d8752f5fd221c3e72d348f5b34f8b", size = 9334074, upload-time = "2026-07-18T03:38:46.616Z" },
+    { url = "https://files.pythonhosted.org/packages/e2/db/3f5ea5a5b64060ef5e1ff60a19170423e41ce21b8497a6fe15a36e0b43e3/matplotlib-3.11.1-cp313-cp313-win_arm64.whl", hash = "sha256:0c1f44890d435c1b4ef52f701ad5828cb450ea97bcc83918fda6be74965d6cd2", size = 9007662, upload-time = "2026-07-18T03:38:49.112Z" },
+    { url = "https://files.pythonhosted.org/packages/98/6e/c7ae5e0531425b69c0826b00ebbc264c85cab853f1cd6e096c9983c2cdc1/matplotlib-3.11.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:5e510088c27a89d53580a752f959146893563e63c330e161d159b0fee652af6f", size = 9503790, upload-time = "2026-07-18T03:38:51.527Z" },
+    { url = "https://files.pythonhosted.org/packages/92/79/15be162e0a2ed546939674e2e97d0e33ec2447d86d4d4e611fa295bb178c/matplotlib-3.11.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:1524e2bdd48a93557aa47ddcfe9c225dfdd57d5a01a5c49128c20f0632980ee1", size = 9336148, upload-time = "2026-07-18T03:38:53.564Z" },
+    { url = "https://files.pythonhosted.org/packages/6a/7f/36ffe144fc4aacfe0e3ed2318f72b6755d1e73b041d619b4d393e60f5a66/matplotlib-3.11.1-cp313-cp313t-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:11664c551345553db92e61cae6cf1376f138f8c47cafdf13b64b18f3e3e9e464", size = 10049244, upload-time = "2026-07-18T03:38:55.911Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/5f/55812d68c0a840d3a463638f48c00ab1fe338518ec49a640cb6473b444af/matplotlib-3.11.1-cp313-cp313t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5e1f8922ba31959cf6a9dfb51be64b7f7bc582801a3957dc0c2f3afcd3537adf", size = 10860798, upload-time = "2026-07-18T03:38:58.282Z" },
+    { url = "https://files.pythonhosted.org/packages/7a/64/cca444b4eb5e6c768c44fc5e1f0b5211f20ca2b282778051996e996a2bdf/matplotlib-3.11.1-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:83235693abde86e5e0129998f80ee39fc7f58e6d56a88fafb28a9278833e9d5f", size = 10943282, upload-time = "2026-07-18T03:39:00.465Z" },
+    { url = "https://files.pythonhosted.org/packages/e5/0f/a49c329d394f2e9ef38506982107e8b04ecf94dd41a9d8423ff82cc737c7/matplotlib-3.11.1-cp313-cp313t-win_amd64.whl", hash = "sha256:9a076f4fc5cdc43fdf510f5981418d25c2db4973418d9f22d8bb3dc8045ada78", size = 9383532, upload-time = "2026-07-18T03:39:02.468Z" },
+    { url = "https://files.pythonhosted.org/packages/e4/50/103e86afb806d8f64d04ede14e4cfc09dbfc25f512421ff85fdd6ebd59cf/matplotlib-3.11.1-cp313-cp313t-win_arm64.whl", hash = "sha256:216fbb93a74add02ddb4cb38ef5348f59ac00b3e84567eaf16598772d40e150a", size = 9059665, upload-time = "2026-07-18T03:39:04.607Z" },
+    { url = "https://files.pythonhosted.org/packages/35/04/3079499fa8cb661ea66d13d6439d5a3ae6710a7afd5c7f72e08914f275f8/matplotlib-3.11.1-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:30c492d4ba9448595b6fd8708c6725963f8148e25c0d8842948da5b05f0ee8d3", size = 9456022, upload-time = "2026-07-18T03:39:07.041Z" },
+    { url = "https://files.pythonhosted.org/packages/53/a2/69acfe84ec1f32930e801a5782a07fc5c79c8c6599a507b806d859d5da8e/matplotlib-3.11.1-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:ac104be2768ffdd8655db9e71b768cbb45f2b9aa7b450cf1595e8f65d3822319", size = 9285475, upload-time = "2026-07-18T03:39:09.562Z" },
+    { url = "https://files.pythonhosted.org/packages/d3/b3/31b15a2ca56d4ddd6aaa1c884c2f51cf9a61cfaf5ca6f6fbd6343d38e6df/matplotlib-3.11.1-cp314-cp314-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6be943cb68bc6660ead58c55b3aa6366cba2ef7feb06460fbcce32360376f19f", size = 10847102, upload-time = "2026-07-18T03:39:11.532Z" },
+    { url = "https://files.pythonhosted.org/packages/64/0d/a17e966e620545c1548125af0b29ac812dd17b197a18a7462ac12fa859ee/matplotlib-3.11.1-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:5af0dcda57d471440a7b5b623e70e0a61003518443d9098f211a96ecfbbc25be", size = 11131087, upload-time = "2026-07-18T03:39:13.764Z" },
+    { url = "https://files.pythonhosted.org/packages/97/c5/5e100efdd67abb7de20befaa333612ef9bfc63417fb71398f904f25d083c/matplotlib-3.11.1-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:3d3fd84082b1afbd9398466c81309e20045be20d48fe0fb18c43504d164cbbb2", size = 10929036, upload-time = "2026-07-18T03:39:16.888Z" },
+    { url = "https://files.pythonhosted.org/packages/ce/04/d719a0a36930ecc8dfc801ff340f9dcfc4223f8ca5d39d06b4020032fff8/matplotlib-3.11.1-cp314-cp314-win_amd64.whl", hash = "sha256:9601a1e90be21e4884c53b4f3dc3ee0544654946f9975258d691f1c2e2f119c6", size = 9489571, upload-time = "2026-07-18T03:39:19.449Z" },
+    { url = "https://files.pythonhosted.org/packages/48/65/facabdc2f1f6caba7e856db64dfedddca25f7608df07d96a1c8fd114fd3b/matplotlib-3.11.1-cp314-cp314-win_arm64.whl", hash = "sha256:ae30c6109848ac0f9fa36c5d6270938487614c47ba31860bd5361266dabc5685", size = 9164486, upload-time = "2026-07-18T03:39:21.424Z" },
+    { url = "https://files.pythonhosted.org/packages/88/dd/18da6cd01cf96354534f98c468a25380c68ce582a2c9dd0cae12b04af4f2/matplotlib-3.11.1-cp314-cp314t-macosx_10_15_x86_64.whl", hash = "sha256:dadfe80797174e2984aae3be0b77594a3c72d2c0a40fbd4a0de48d2728caf3ae", size = 9504876, upload-time = "2026-07-18T03:39:23.633Z" },
+    { url = "https://files.pythonhosted.org/packages/79/b0/f0b63555a18b79d038c81fd6126f35fc4dfce0eaff48d96103348c7cf935/matplotlib-3.11.1-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:89b193b255f4f6f7948dbcee3691f4f341ab05d9a8874a67b45ddb4182922eda", size = 9336120, upload-time = "2026-07-18T03:39:25.797Z" },
+    { url = "https://files.pythonhosted.org/packages/c6/dd/f210ec7c4a6f198d5567237048a93d0811fb5a1f1691f13320e592f95b41/matplotlib-3.11.1-cp314-cp314t-manylinux_2_26_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:191163532cdefcb1571ca38a6d7e6474baccde64495783e6ba47aa07ec4b9bbb", size = 10858033, upload-time = "2026-07-18T03:39:27.999Z" },
+    { url = "https://files.pythonhosted.org/packages/ec/d2/d6d5324507c5fbb316db48e258c09c2807f3de03d9af47017e120070926f/matplotlib-3.11.1-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9fdf1c818ab05d0e74002091ddaf414478a3a449ec9d51c8976d45be7e3a01e2", size = 11141827, upload-time = "2026-07-18T03:39:30.092Z" },
+    { url = "https://files.pythonhosted.org/packages/0f/68/3c22e9320bdce2c4d2f1320643ef706db7a24cb7420eea28b97a2d67f5a8/matplotlib-3.11.1-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:b937b9dba5f5f6c1e31c47abe2186c865c0914fd18f2ce0dfc39c9adcef5951d", size = 10943061, upload-time = "2026-07-18T03:39:32.356Z" },
+    { url = "https://files.pythonhosted.org/packages/f6/4a/907ed190ee81a9df581e0ed5456134fc0f7cb55ffcfda2f9e54ca900761c/matplotlib-3.11.1-cp314-cp314t-win_amd64.whl", hash = "sha256:f2912f647f3fbe1ccf085f91e213936f9101bead81a5e670565b1f1b3712f4fb", size = 9540074, upload-time = "2026-07-18T03:39:34.789Z" },
+    { url = "https://files.pythonhosted.org/packages/23/d4/97c19b77e0a6e3b48581185bb65088f431cd20186076cc0f650a1757ea46/matplotlib-3.11.1-cp314-cp314t-win_arm64.whl", hash = "sha256:54d47b8ae8b579633a3902ca5b4ad6c1e132a5626d64447b2e22a66394e79987", size = 9213472, upload-time = "2026-07-18T03:39:37.141Z" },
+    { url = "https://files.pythonhosted.org/packages/ee/38/ceb1d637c4db6d06141f3739e93af3321e7caaabe69b57ae48ffe3ee95b1/matplotlib-3.11.1-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:427258425f9a3fc4ed79a91f9e9b9aaf5a82cb6571e85dc14063cc6fbb993741", size = 9438045, upload-time = "2026-07-18T03:39:39.491Z" },
+    { url = "https://files.pythonhosted.org/packages/89/25/72ad8b58602d3a6ef1dfc4b65ecd01634ab65a2bdf494c9fe0e966dbf081/matplotlib-3.11.1-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:1ac697e591c11b6ad04679a73c2d2f9980fe9d9f0311fb414a2e329706343dfb", size = 9266127, upload-time = "2026-07-18T03:39:41.597Z" },
+    { url = "https://files.pythonhosted.org/packages/8a/6d/69552382fcc8e93d1f2763ef2665980a900a48b7f3a4c57ed290726d1cbc/matplotlib-3.11.1-pp311-pypy311_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e4b9ac2f1f607ecda2af90a5232beee2af7582fce1cc30c4b6a1b012dc21ee99", size = 10019439, upload-time = "2026-07-18T03:39:43.78Z" },
+]
+
 [[package]]
 name = "mistune"
 version = "3.3.4"
@@ -661,8 +1094,10 @@ dependencies = [
     { name = "fastapi" },
     { name = "httpx" },
     { name = "jsonschema" },
+    { name = "matplotlib" },
     { name = "mistune" },
     { name = "olefile" },
+    { name = "playwright" },
     { name = "python-docx" },
     { name = "pyyaml" },
     { name = "referencing" },
@@ -682,8 +1117,10 @@ requires-dist = [
     { name = "fastapi", specifier = ">=0.116,<1.0" },
     { name = "httpx", specifier = ">=0.28,<1.0" },
     { name = "jsonschema", specifier = ">=4.25,<5.0" },
+    { name = "matplotlib", specifier = ">=3.9,<4" },
     { name = "mistune", specifier = ">=3.0,<4.0" },
     { name = "olefile", specifier = ">=0.47" },
+    { name = "playwright", specifier = ">=1.55,<2" },
     { name = "python-docx", specifier = ">=1.1,<2.0" },
     { name = "pyyaml", specifier = ">=6.0,<7.0" },
     { name = "referencing", specifier = ">=0.36,<1.0" },
@@ -695,6 +1132,164 @@ requires-dist = [
 [package.metadata.requires-dev]
 dev = [{ name = "pytest", specifier = ">=8.4,<9.0" }]
 
+[[package]]
+name = "numpy"
+version = "2.4.6"
+source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version < '3.12'",
+]
+sdist = { url = "https://files.pythonhosted.org/packages/d0/ad/fed0499ce6a338d2a03ebae59cd15093910c8875328855781952abf6c2fe/numpy-2.4.6.tar.gz", hash = "sha256:f3a3570c4a2a16746ac2c31a7c7c7b0c186b95ce902e33db6f28094ed7387dda", size = 20735807, upload-time = "2026-05-18T23:37:14.07Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b3/49/ec46835a70be8fa6446c495126ac84fdb28cb2558e1620ffb87a10c8b64c/numpy-2.4.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0280e0356c0829a18d9de1cb7eee50ec22ca639878d7240307ca0943d73cd2c4", size = 16969194, upload-time = "2026-05-18T23:33:13.503Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/0d/f5957185c0ee2f3e12f78715aa9e3b353fd83633316c8532b38faa37e3f6/numpy-2.4.6-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:110f8b71aacb688ec69062bb7f6938a0f8acb01b7c1c4beb453c65b6d234584d", size = 14964111, upload-time = "2026-05-18T23:33:17.795Z" },
+    { url = "https://files.pythonhosted.org/packages/ad/40/40a40ee0ddf7ceb782c49af278894b686e586d65d8c1889c8b5da01a3d7d/numpy-2.4.6-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:4cfe66903cc32a9921a6733d96b19bb6abf310397581bbad89c228f5abaf0ee8", size = 5469159, upload-time = "2026-05-18T23:33:20.654Z" },
+    { url = "https://files.pythonhosted.org/packages/63/13/f9a8046535cb21deae82f8d03de9617e08882d274fad2539630761888228/numpy-2.4.6-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:8155154c7c691289fe18f510b5d4657c68c67989f293f0535a91360392ff6538", size = 6798936, upload-time = "2026-05-18T23:33:22.987Z" },
+    { url = "https://files.pythonhosted.org/packages/33/a8/6fa8c1a345a8c85dbb21932c447bee07c30a2c2a3f31e369c0a84b300147/numpy-2.4.6-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0ab0a9c4ffb1a6d95ef519fe4247dba8eb6b18ad93999f76b7f657039acabd47", size = 15966692, upload-time = "2026-05-18T23:33:26.62Z" },
+    { url = "https://files.pythonhosted.org/packages/02/03/74fe2a4cb3817d94d86402f2506554130a2f01414e299b5a843e5a8a957f/numpy-2.4.6-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:89cd468399cfd2504718f0ba50e410dca55a170b61a02ad92bb18c8a65186e93", size = 16918164, upload-time = "2026-05-18T23:33:29.955Z" },
+    { url = "https://files.pythonhosted.org/packages/c5/80/3615be3313f7e7696609bc194b9f0101da809df79e859bdb84e0cd043f46/numpy-2.4.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:c2d37ab77531417474168eb79d6d80b14f821a966818505d03013d0833edb7a8", size = 17322877, upload-time = "2026-05-18T23:33:34.724Z" },
+    { url = "https://files.pythonhosted.org/packages/ca/ac/a691e0fe2675e370d0e08ff905adc49a1c8830e8cae03efe4477e92cd55d/numpy-2.4.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:f407cb6b8e9d6d8c626bc73c945db1706035af8fd632295547bf1c9e46d092d6", size = 18651487, upload-time = "2026-05-18T23:33:38.217Z" },
+    { url = "https://files.pythonhosted.org/packages/15/a7/9bc1cd626d7bf6869bfedf27b91b6ab5dd607758bf8e959d6fa80c6a59cb/numpy-2.4.6-cp311-cp311-win32.whl", hash = "sha256:ddea102b48f9e339f3948bf22040944184627a30fdf7f858667673b9c5f033c8", size = 6233945, upload-time = "2026-05-18T23:33:41.331Z" },
+    { url = "https://files.pythonhosted.org/packages/c5/31/7fc6239c12bce7e931463251cca4426c465e1876ba3cc785402ef4dd8f4e/numpy-2.4.6-cp311-cp311-win_amd64.whl", hash = "sha256:1e254a00cdf42b1e4d5b3d68d33af63268d41340d8885df2ab6470f2e1500147", size = 12608406, upload-time = "2026-05-18T23:33:44.131Z" },
+    { url = "https://files.pythonhosted.org/packages/27/83/140f85a466595a16382996a1bf06b2b54bcd597488921b0c9daaeeda72af/numpy-2.4.6-cp311-cp311-win_arm64.whl", hash = "sha256:ed9749eef4cbd126da3dc1d6bcb3a57f5eb7ac6a6484146bdbf743f552dfc577", size = 10479528, upload-time = "2026-05-18T23:33:50.725Z" },
+    { url = "https://files.pythonhosted.org/packages/95/2a/3d7b5ac8aac24feaf9ad7ed58f45b0bbc06d37e4338ae84c9f2298b570f9/numpy-2.4.6-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:001fbb8e08d942dd57599e781f2472269ee7f2755fae407b4f67b2f0b17da3f1", size = 16689119, upload-time = "2026-05-18T23:33:54.065Z" },
+    { url = "https://files.pythonhosted.org/packages/ea/12/92c4c131527599e8288d6918e888d88726f84d805d784b771f32408aeaef/numpy-2.4.6-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:ebfb099f8dcf083deef3ac1ca4c1503f387cf76296fcb3816b66f5ecb5f54fdb", size = 14699246, upload-time = "2026-05-18T23:33:57.621Z" },
+    { url = "https://files.pythonhosted.org/packages/ad/fe/c0a6b7b2ca128a8fb228575147073b660656734b8ebe4d76c8fd748dcc79/numpy-2.4.6-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:3213d622a0283a39a93d188f3cf72b26862df52fbb4ca3697f51705016523d41", size = 5204410, upload-time = "2026-05-18T23:34:00.302Z" },
+    { url = "https://files.pythonhosted.org/packages/f3/d4/9770d14ba719432bb90a421bfd443872ed0f70f7264b64bec12ea363d5fd/numpy-2.4.6-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:357cc07a6d7b0b182ff02249616a03742827ebb1277546b5c7cd7f7620a45698", size = 6551240, upload-time = "2026-05-18T23:34:02.852Z" },
+    { url = "https://files.pythonhosted.org/packages/c9/c6/50a46a6205feba2343f1d6d17438107c5dc491ed1c736e6ea68689fd906b/numpy-2.4.6-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5f9fb9157b4ce2971008323afe46053787b526ef624fea915b261468a8421a0f", size = 15671012, upload-time = "2026-05-18T23:34:05.485Z" },
+    { url = "https://files.pythonhosted.org/packages/99/60/14115e6364fa676c5397c2ad3004e527e9aa487abf5d0706ec81bbd08529/numpy-2.4.6-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:90f9849678c75fe7afa2d348ac842c168b0a4d3d61919687216dfc547976d853", size = 16645538, upload-time = "2026-05-18T23:34:09.265Z" },
+    { url = "https://files.pythonhosted.org/packages/ae/c5/693cbe59e57db94d2231fa519ca3978dc9e19da5a8f088588f5c6e947ff2/numpy-2.4.6-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:c1a2af6c6ef86344a6b0db6b97834208bf598db514f2b155042439b62605601a", size = 17020706, upload-time = "2026-05-18T23:34:13.053Z" },
+    { url = "https://files.pythonhosted.org/packages/ef/fc/85b7c4eff9b4966ade25c2273cf7e7012e92366c032058653934b37de044/numpy-2.4.6-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:e5805d5a22fd19c8ccff10a9561f9df94436b0545619ea579db2d3c35294bce2", size = 18368541, upload-time = "2026-05-18T23:34:17.024Z" },
+    { url = "https://files.pythonhosted.org/packages/f6/81/e1b27545deedce7f4a0b348618c6b62d74e36a4dc9ccd42f3eb2f85eee32/numpy-2.4.6-cp312-cp312-win32.whl", hash = "sha256:e3eeb0aabd6bd5ce64faae67e9935203a6991b4bc2a485a767fbafb2c5125f45", size = 5962825, upload-time = "2026-05-18T23:34:20.3Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/ca/feab00bd44aa5fe1ad2c18f08b4d3bb92e26484b0b1d1443897809ed528c/numpy-2.4.6-cp312-cp312-win_amd64.whl", hash = "sha256:d8e8286dd7cea7895157318d1b91cdacac64c479f3cbc8dce548331728484751", size = 12321687, upload-time = "2026-05-18T23:34:23.095Z" },
+    { url = "https://files.pythonhosted.org/packages/63/cf/5a6d34850a39d1093558564f77ee8e8e0bee5061151b8f05a55711001ec7/numpy-2.4.6-cp312-cp312-win_arm64.whl", hash = "sha256:4081eb135ac24158bd51cdfbef16f1c64df7063b1143f24731387137c092bec8", size = 10221482, upload-time = "2026-05-18T23:34:25.876Z" },
+    { url = "https://files.pythonhosted.org/packages/fb/82/bdab26d7438c6791ca31b7c024ca37c1eab8b726ba236129005cd4a06e45/numpy-2.4.6-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:511dbaf848decaaaf4b4ca48032619fb3138710c4bf7da7617765edad1ef96b0", size = 16684648, upload-time = "2026-05-18T23:34:29.41Z" },
+    { url = "https://files.pythonhosted.org/packages/1b/30/a80189bcc7f5e4258b3fbc3968d909d1756f54d023299ecc39ad6fdb9ef8/numpy-2.4.6-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:bf162abab1c1a736333192707cef898e735a5ca00f38f27eeedf44b39d9e85eb", size = 14693902, upload-time = "2026-05-18T23:34:33.013Z" },
+    { url = "https://files.pythonhosted.org/packages/97/12/70b5d0d7c15e1ebb8a6a84a8caa1d19e181d84fb58bb6d70aca29099dec1/numpy-2.4.6-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:043191bfa8eab18c776647b62723ac9dddece59743b13f49b2016094129c2b3f", size = 5198992, upload-time = "2026-05-18T23:34:36.132Z" },
+    { url = "https://files.pythonhosted.org/packages/ba/8c/ebd2a8f8a83541f8d38cc5667e8c2b69cecfd30da6e45693e8158857d44b/numpy-2.4.6-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:6180d8b35af935aed8ece3a85e0a43f87393ae0ac87c8d2c8bd2c993f7270ef3", size = 6546944, upload-time = "2026-05-18T23:34:38.484Z" },
+    { url = "https://files.pythonhosted.org/packages/bb/c5/7b863a97a91671a0338f4253bd3b5a3d3852f0692dae91711c9f4a10e787/numpy-2.4.6-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:72fbe16c6fac95aedf5937fa873445cec2110be35d8a4e9433d7501fd98dae6b", size = 15669392, upload-time = "2026-05-18T23:34:41.257Z" },
+    { url = "https://files.pythonhosted.org/packages/a5/9d/3584b9984ca4c047aea75214ce1a4c4c73d849bd71b604264b7f5653f8a8/numpy-2.4.6-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a7830bab239b79cda9c08c2da014761cafb48da6150e1da17ac06283f43b6089", size = 16633220, upload-time = "2026-05-18T23:34:45.075Z" },
+    { url = "https://files.pythonhosted.org/packages/05/ae/7c67fba23bd98caec7c99261f3a16072ade14813486b0282cb29846de832/numpy-2.4.6-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:ef4aea96ce4d3b074422cb4f2f64e216bf9e213004bb58ecfdf50ea02ea8eb9a", size = 17020800, upload-time = "2026-05-18T23:34:49.065Z" },
+    { url = "https://files.pythonhosted.org/packages/d9/5d/3b6725cb31d983c5e66916f5d36f6d7e5521129e4c4404d64f918292a5b6/numpy-2.4.6-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:dfa20cc6ca228e6b155b11da03825975ce66aea520985dbbddf0f2a5a495c605", size = 18357600, upload-time = "2026-05-18T23:34:52.709Z" },
+    { url = "https://files.pythonhosted.org/packages/f7/da/2ccc6c2fe8898dee01d90c75c5f5f914a23daf99e3e0f59516a08760c8b5/numpy-2.4.6-cp313-cp313-win32.whl", hash = "sha256:56b39e5e0622a09a25bf5baf62f4bcf0cb8a41ae6e2819cf49bbc5a74c083f91", size = 5961134, upload-time = "2026-05-18T23:34:55.618Z" },
+    { url = "https://files.pythonhosted.org/packages/b5/cd/9cc4dc876fb065d5c220aae4d5e14826b2715331bb7618ce1fb07a679d99/numpy-2.4.6-cp313-cp313-win_amd64.whl", hash = "sha256:c4fc99836233ea196540b17ab0983aff60ed07941751930f5f4d05bc3b3b7359", size = 12318598, upload-time = "2026-05-18T23:34:58.928Z" },
+    { url = "https://files.pythonhosted.org/packages/39/1e/c0bcba1f8694116485fe28fd1be698c278fcda4141c5b0e53a2aed8b12a8/numpy-2.4.6-cp313-cp313-win_arm64.whl", hash = "sha256:a7c711e21628b52034bb5ab8d1bce291f752fcc5e92accc615778acee1ff4778", size = 10222272, upload-time = "2026-05-18T23:35:02.167Z" },
+    { url = "https://files.pythonhosted.org/packages/63/6d/cc5619247c8f4204e507f5883528372e4ac4bb189e579fb859a12e480b1f/numpy-2.4.6-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:112b06a867b235ef466ed3508ddf0238050df9c727cafb5301ac385b899189a1", size = 14821197, upload-time = "2026-05-18T23:35:05.468Z" },
+    { url = "https://files.pythonhosted.org/packages/00/58/f1c39161c87d9e9bed660f1ed4bafc0e403d5ec9650b6dd77aead07d489b/numpy-2.4.6-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:eaf7fa2de5c0be8ae6ff8e9bea2ccd725e980541244521d8d4b5f3354a27babe", size = 5326287, upload-time = "2026-05-18T23:35:08.693Z" },
+    { url = "https://files.pythonhosted.org/packages/af/57/3917ab0fd97f271a8694513581b8a36c655f111c446852c302f04ccdb6fc/numpy-2.4.6-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:7265a2f3d436e54ef9f2b52b5c937e6be778781bd97a590319d7348f1c1ca997", size = 6646763, upload-time = "2026-05-18T23:35:11.459Z" },
+    { url = "https://files.pythonhosted.org/packages/eb/0f/037e64c494b67581ae18193d770adef354c41f3f2c8ebf865602d949bf8f/numpy-2.4.6-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:f74a575920ab21fe304421a3fc28793d82e299cae9eccb37084e9fc7f3617c20", size = 15728070, upload-time = "2026-05-18T23:35:14.79Z" },
+    { url = "https://files.pythonhosted.org/packages/21/a6/5d2bae9c9542eb4df16dc9c46dc79c186e9bad53805dfa5399a6023c6db0/numpy-2.4.6-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ede83e07a75dd06bc501566c1eca2afc0d61677c1472ac9ad93fdee6e638a48d", size = 16681752, upload-time = "2026-05-18T23:35:18.836Z" },
+    { url = "https://files.pythonhosted.org/packages/92/14/23d1dfb410ae362cd59ce53e936b1513d545eb40db3949ced632e19a459e/numpy-2.4.6-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:68bb27509ac1b9a3443094260f6326150663b06abe40b73a2f81160623da5b67", size = 17086024, upload-time = "2026-05-18T23:35:22.52Z" },
+    { url = "https://files.pythonhosted.org/packages/4b/6e/23595a2c642cdf3bc567877064bdd7f91c8b0038a4453cf2daf7248eafe9/numpy-2.4.6-cp313-cp313t-musllinux_1_2_x86_64.whl", hash = "sha256:a0df0043bdb289bde1f62da130d20df23d58b45429f752bc7a8fc5325a225ecd", size = 18403398, upload-time = "2026-05-18T23:35:26.398Z" },
+    { url = "https://files.pythonhosted.org/packages/8a/90/0ac3bc947217e66dec77e7cbc6a1979d1af70b6461b82f620d3bccd5e4c8/numpy-2.4.6-cp313-cp313t-win32.whl", hash = "sha256:29a287e0cf63ff528da061de6b9f64a4618da591ca1046aafc54062e40ca7eab", size = 6084971, upload-time = "2026-05-18T23:35:29.387Z" },
+    { url = "https://files.pythonhosted.org/packages/77/71/5673e351671a1d2bd6063b91b44f70c0affea7d1516fa7a6572941ba4aa1/numpy-2.4.6-cp313-cp313t-win_amd64.whl", hash = "sha256:25c692919ac5a01f170a3bfcd62d745b24fd095c353d50812637d6fcab442e75", size = 12458532, upload-time = "2026-05-18T23:35:32.175Z" },
+    { url = "https://files.pythonhosted.org/packages/3f/88/19d3503c5046e688f049274b27a3ef3d771152fa80d3ba3d01a3dff61abe/numpy-2.4.6-cp313-cp313t-win_arm64.whl", hash = "sha256:1e978ec1e8bd0e0e4de6bb75de9d30cbb74db6b6a2bb727618613703ca0167dd", size = 10291881, upload-time = "2026-05-18T23:35:35.465Z" },
+    { url = "https://files.pythonhosted.org/packages/f8/91/3ab2044d05fd16d343c5ac2e69b127f1b2854040dd20b193257c78028bd3/numpy-2.4.6-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:06ca2f61ec4385a07a6977c55ba998a4466c123642b4a32694d3128fce18c079", size = 16683458, upload-time = "2026-05-18T23:35:38.353Z" },
+    { url = "https://files.pythonhosted.org/packages/8e/62/764ce66fa4147ae6d73071a3abf804ffe606f174618697c571acdf26a7c9/numpy-2.4.6-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:38efbc8de75c7a0fc1ac190162d892787f3f47b57cc291231aafee36b80982b7", size = 14704559, upload-time = "2026-05-18T23:35:42.14Z" },
+    { url = "https://files.pythonhosted.org/packages/60/61/23f27c172f022e04025b7dc2367f4d63c1a398120607ec896228649a6f48/numpy-2.4.6-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:d581b735e177fdcdce6fed8e7e8880a3fb6ee4e3653a3ac6af01c6f4c03effc5", size = 5209716, upload-time = "2026-05-18T23:35:45.377Z" },
+    { url = "https://files.pythonhosted.org/packages/03/71/21cf70dc6ea3e3acb95fc53a265b2fc248b981f0194ceb5b475271b8809d/numpy-2.4.6-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:0a041d3d761dc3c35cc56ce0351506a02bcbc25f7b169f652435141a17db9096", size = 6543947, upload-time = "2026-05-18T23:35:47.926Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/91/64288395ee1799bd2e0b04a305dce9666da90c961e1f3fe982a05ee1c036/numpy-2.4.6-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:40fdc1ae7125e518ea98e53e69a4ebc27e1fd50510c47b7ea130cf21e5e1d42b", size = 15685197, upload-time = "2026-05-18T23:35:50.863Z" },
+    { url = "https://files.pythonhosted.org/packages/f3/eb/ebffaa97dc55502df69584a8f0dcf07f69a3e0b3e2323670a2722db9aa39/numpy-2.4.6-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a2c306dea656c12c68f51f4cea133cbe78ca7435eb28c735eac1d3ebe73be6e8", size = 16638245, upload-time = "2026-05-18T23:35:54.752Z" },
+    { url = "https://files.pythonhosted.org/packages/b8/0b/54f9da33128d7e350fab89c7455902eeae70349ee52bddb448dc4a576f45/numpy-2.4.6-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:33111801a01c12a8a1e3721f0a9232f8cfc8ae2c6b7098167e6f623c6073f402", size = 17036587, upload-time = "2026-05-18T23:35:58.355Z" },
+    { url = "https://files.pythonhosted.org/packages/b6/f0/fdebc1052db1cc37c64beb22072d67cd6d1c71adca1299f53dec2b5e20d3/numpy-2.4.6-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:ae506e6902902557576a26ff33eda8695e7ecb3cb36c3b573a0765dee114ebdb", size = 18363226, upload-time = "2026-05-18T23:36:02.845Z" },
+    { url = "https://files.pythonhosted.org/packages/aa/b4/298628d98c72b57e57f7165ae6a481a1deaf6f3c28262a6e4c739c275930/numpy-2.4.6-cp314-cp314-win32.whl", hash = "sha256:aaf159caa35993cb1f56fb9b8e4610d35758e7ca005412eb1daa856a78c9c4b1", size = 6010196, upload-time = "2026-05-18T23:36:05.92Z" },
+    { url = "https://files.pythonhosted.org/packages/df/ac/46de6dda46478f7942f839e094970be2d4a861e005c4b3bf07c92e291a09/numpy-2.4.6-cp314-cp314-win_amd64.whl", hash = "sha256:b507f5c4c1d508876d1819b6bf9a49d365b96320b5d4993426b33a23ca4b8261", size = 12450334, upload-time = "2026-05-18T23:36:09.107Z" },
+    { url = "https://files.pythonhosted.org/packages/78/92/b8b798ac784102c0da830d2257d59358e3d3d90d1e2b3f2575dad976c5cf/numpy-2.4.6-cp314-cp314-win_arm64.whl", hash = "sha256:6f41ae150c4e32db4f3310cdaf64b1593a03dbabe29eec77fc9b50fe64061df6", size = 10495678, upload-time = "2026-05-18T23:36:12.766Z" },
+    { url = "https://files.pythonhosted.org/packages/30/34/ec28d1aa8115971537c01469ab2011ee96827930f0a124de1000cc2a7ed7/numpy-2.4.6-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:ece3d2cfe132e7d51f44a832b303895e6f2d499c5e74dfbdb06ee246147a304a", size = 14823672, upload-time = "2026-05-18T23:36:16.473Z" },
+    { url = "https://files.pythonhosted.org/packages/16/bd/f6d1fede4e54e8042a7ff97bb495510f3c220f94bcd9e8b228e87c92cc0d/numpy-2.4.6-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:e3e5193ef5a3dc73bceee50f7fdc2c90dbb76c42df8d8fae3d1067a583df579e", size = 5328731, upload-time = "2026-05-18T23:36:19.767Z" },
+    { url = "https://files.pythonhosted.org/packages/f4/f0/e105b9e2fd728a9910103884decd6951d9dd73896b914a98d9a231de02ee/numpy-2.4.6-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:17f9ade344e7d9b464a084d69bcf18fc691cb1db67c62ed80820bf4926d78f0e", size = 6649805, upload-time = "2026-05-18T23:36:22.266Z" },
+    { url = "https://files.pythonhosted.org/packages/82/dd/1206a7ca6ab15e3f02069707ca96222e202af681bb73756da7527f3cb837/numpy-2.4.6-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:9cd5ffd25db4e7ba6a375693b3fc0fc1791ec636c17db3720da19bde7180ec43", size = 15730496, upload-time = "2026-05-18T23:36:25.713Z" },
+    { url = "https://files.pythonhosted.org/packages/51/e7/38d3ea825dcab85a591734decb2f6c67caa7c8367d374df1a1c3842f9b07/numpy-2.4.6-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7d92c3819208a60205a12a245c91ad70cb0a85336659b19b834205573ac8456e", size = 16679616, upload-time = "2026-05-18T23:36:29.652Z" },
+    { url = "https://files.pythonhosted.org/packages/93/b7/caabfdf53edf663e0b4eb74d7d405d83baef09eb5e83bcd32d601d72b93e/numpy-2.4.6-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:e85b752a1e912b70eaad4fafbd4d1238007ab221de2009b9a2f5ae7461239895", size = 17085145, upload-time = "2026-05-18T23:36:33.449Z" },
+    { url = "https://files.pythonhosted.org/packages/f9/45/68d7c33a6bcf3e5aa3bdbd57a367e6f615286dfd6482f97e8ffeb734306e/numpy-2.4.6-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:29cb7f67d10b479ff07c17d33e39f78c07f71c40ef30d63c153d340e96cd3fb4", size = 18403813, upload-time = "2026-05-18T23:36:37.369Z" },
+    { url = "https://files.pythonhosted.org/packages/9c/50/0753655aa844c99cd9e018aacf76f130f1bd81d881bb74bc0aef5d73a8ba/numpy-2.4.6-cp314-cp314t-win32.whl", hash = "sha256:260a5d70215b61ab4fadf5c7baacd64821842975eea312125ed3c39a6391b063", size = 6156982, upload-time = "2026-05-18T23:36:40.817Z" },
+    { url = "https://files.pythonhosted.org/packages/b2/d4/7c67becf668f973cb490cec3e98dfd799d866f9c989a54d355672cfa0db6/numpy-2.4.6-cp314-cp314t-win_amd64.whl", hash = "sha256:81a1cca95ed5bb92aa8b10dd2cdc9a0d3853a50fad926c28b5d7e8ea54389627", size = 12638908, upload-time = "2026-05-18T23:36:43.996Z" },
+    { url = "https://files.pythonhosted.org/packages/43/bb/e1c71a4295b1b1d1393d50dbb4f2a36283c6859d9d3892e84f00ec5a91d5/numpy-2.4.6-cp314-cp314t-win_arm64.whl", hash = "sha256:0c9136e14ed34a9e343a31c533d78a9813a69a3148332bce5e9821cb2f996e66", size = 10565867, upload-time = "2026-05-18T23:36:47.114Z" },
+    { url = "https://files.pythonhosted.org/packages/de/12/b422cc84439adc0d00de605bf4a308890ae5c26f2c71fbd73e5d08fbb0dd/numpy-2.4.6-pp311-pypy311_pp73-macosx_10_15_x86_64.whl", hash = "sha256:55cced7c52e981362f708ad635198e97a752dfba412cc03c23bbf3bd8d5cd662", size = 16847511, upload-time = "2026-05-18T23:36:50.673Z" },
+    { url = "https://files.pythonhosted.org/packages/44/53/f481bef68011740f8849418d82db07230e825013f31f4eef5ba5b805316a/numpy-2.4.6-pp311-pypy311_pp73-macosx_11_0_arm64.whl", hash = "sha256:d6da64deb6b8ed903e7560180a92f2d804ee1ba5eeb849ac2748b8c1aba1f6d7", size = 14889064, upload-time = "2026-05-18T23:36:53.879Z" },
+    { url = "https://files.pythonhosted.org/packages/7f/57/42ed575c10ced8af951d426bc4e1f8aff16fd851db33f067036215a7f860/numpy-2.4.6-pp311-pypy311_pp73-macosx_14_0_arm64.whl", hash = "sha256:68a5124b13fa6cc2086764a20005d30bc0548146f7f5322f02fce212ca14317f", size = 5394157, upload-time = "2026-05-18T23:36:57.194Z" },
+    { url = "https://files.pythonhosted.org/packages/6a/ef/f66cc724fcc36c1e364c67f51ae9146090b8b584f27d58b97fdae3edd737/numpy-2.4.6-pp311-pypy311_pp73-macosx_14_0_x86_64.whl", hash = "sha256:948424b06129ce883307e8cff868c31396d8dc7630a59c61d70d98dbe70f222c", size = 6708728, upload-time = "2026-05-18T23:36:59.575Z" },
+    { url = "https://files.pythonhosted.org/packages/1a/9c/c531f2293b91265d8b48e9b329f54fdd7ffae73cb4134ea10cca4237e9cc/numpy-2.4.6-pp311-pypy311_pp73-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:5dbbdb29840ca3d91ee0fece42fc29278886d908280bfec0a5846c6f901a3eb0", size = 15798374, upload-time = "2026-05-18T23:37:02.674Z" },
+    { url = "https://files.pythonhosted.org/packages/1a/b0/413077f6b1153ed3cba361401c6783bbad6114804a000cc22eb71c13e190/numpy-2.4.6-pp311-pypy311_pp73-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8ad03c0965fb3c692200e74d458ca28c1dbb4ce96f9a479a8aa041ad5fabca02", size = 16747286, upload-time = "2026-05-18T23:37:06.327Z" },
+    { url = "https://files.pythonhosted.org/packages/15/ce/e5ec180bc41812edcd8daeb8639d205622c0e8c02259d8ab25a0201b3c2a/numpy-2.4.6-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:2803abfebfc990042cd494d8ce2d5f82e9d847af6d35ec486923aa19dbad5e73", size = 12504263, upload-time = "2026-05-18T23:37:09.715Z" },
+]
+
+[[package]]
+name = "numpy"
+version = "2.5.3"
+source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version >= '3.12'",
+]
+sdist = { url = "https://files.pythonhosted.org/packages/13/01/11703282db468b85f6f7b8c7f22d058de5970d5c7e60a3a8aaa313c3de36/numpy-2.5.3.tar.gz", hash = "sha256:df2d5874ff183595a4ba404edd04f6bd9b5505c1d7708573f6a6c17489a67563", size = 20791231, upload-time = "2026-09-06T16:27:47.073Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/d6/50/8fdbb16af64895706a45f06a4068e29db732ec180f3c1375f14123359138/numpy-2.5.3-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:cb189f09db39283b26bfd061ec16189e14f71c6755207f72a0f7540867afe5b9", size = 16994982, upload-time = "2026-09-06T16:24:29.244Z" },
+    { url = "https://files.pythonhosted.org/packages/60/39/789131c1188c078dcb3a1692e72e1e050c68b88ffe72c9ccaac9bcd7a9cd/numpy-2.5.3-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:f59a878c33d6b88122d80d239bb3b845d58708750b0cb06a09aebb9b18ec696c", size = 12009327, upload-time = "2026-09-06T16:24:32.491Z" },
+    { url = "https://files.pythonhosted.org/packages/9c/59/a312e95696e5f601914dd8b6dd844692ba61670807417e24b68e337b5c70/numpy-2.5.3-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:a72f874bc9e10e4b8f80426fb49716d5141f64442a0c8418065093ec8017fbb0", size = 5445405, upload-time = "2026-09-06T16:24:35.071Z" },
+    { url = "https://files.pythonhosted.org/packages/30/d0/5623a1707ed4fe16e3909fe3cf5ee3da004ae677ad23d83bbf3adf1a6faf/numpy-2.5.3-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:fc36dc566135b5eceec4cf89758fcb719266a019ef07dae1754ae7c9f617ef3e", size = 6783213, upload-time = "2026-09-06T16:24:37.253Z" },
+    { url = "https://files.pythonhosted.org/packages/f1/32/84146fc020ad3c25f805f70ab60da46fe3c540a21369754a7e4369754b6f/numpy-2.5.3-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:76c2c1e6bfa5c84adc6434dfbf013aa92096a7985221762c8f11fedfd20fff58", size = 15687872, upload-time = "2026-09-06T16:24:39.751Z" },
+    { url = "https://files.pythonhosted.org/packages/65/af/aa78d1a88805456e212b65461354cd943197fb9acecc4c90fd12295123a3/numpy-2.5.3-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b7e18c623bb5c95acb3b3328861272816ba199fb531921c5d6d0b675f1fde9e3", size = 16717410, upload-time = "2026-09-06T16:24:42.745Z" },
+    { url = "https://files.pythonhosted.org/packages/3b/24/faa79d865e69a97ba17473b23a1b74094b2259c03e820c70297293b9ea49/numpy-2.5.3-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:4f8929ee6c96bfbd7b4ed2032e0c03af86fe1826740ab61ddabf9072d06e57ff", size = 17040975, upload-time = "2026-09-06T16:24:45.961Z" },
+    { url = "https://files.pythonhosted.org/packages/62/4a/8877e629445a7176297dffcaf9c485faa96a95d81728a62521ad55bd4c0f/numpy-2.5.3-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:b5d93cf48f687479941d12b69c873ad2cc76bbd487f0091c2200636497f34034", size = 18476479, upload-time = "2026-09-06T16:24:49.35Z" },
+    { url = "https://files.pythonhosted.org/packages/c8/db/35e1c2d38b04cbd5b731f9d71495e055e813197669d22b612f11748d2ff9/numpy-2.5.3-cp312-cp312-win32.whl", hash = "sha256:bf63afbe037eb5d2fe87fbcc7778e61da53ebaf21d938a4515aa73b62532a5d4", size = 6133378, upload-time = "2026-09-06T16:24:51.915Z" },
+    { url = "https://files.pythonhosted.org/packages/3c/a1/accf6d4f0c80c5d9ba9735d6b1550e444180599f34dec69ca01360f717ad/numpy-2.5.3-cp312-cp312-win_amd64.whl", hash = "sha256:0a59a421a32580a009e8a1751345bf829631b990dc1794b80514ab722b435def", size = 12567828, upload-time = "2026-09-06T16:24:54.255Z" },
+    { url = "https://files.pythonhosted.org/packages/22/43/1764aff32e4652526ae2f71fa8b3efd8d25c8a3d6926914454e47138ed1e/numpy-2.5.3-cp312-cp312-win_arm64.whl", hash = "sha256:ccb32e0525d29e8b0572eb84c9a57af0e7a4e615726927506f55063c62414034", size = 10485432, upload-time = "2026-09-06T16:24:57.278Z" },
+    { url = "https://files.pythonhosted.org/packages/79/e5/8fb89cd46d14e35699d13bf943a5f5f441ecee8667120a1f6105ab89e349/numpy-2.5.3-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:66a78fe4556c60aceda5916f9eacd638b18e9e681016ec302dcb4682d6d4d034", size = 16991061, upload-time = "2026-09-06T16:25:00.411Z" },
+    { url = "https://files.pythonhosted.org/packages/2f/06/9dc9e48b5e5e941c8b10350c5ff2d721da42a20517d911d15544246775ff/numpy-2.5.3-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:92f30e89b8ee0ecf363033576c422b2f58fed6a80bed0aa48dff6d14c654663e", size = 12003676, upload-time = "2026-09-06T16:25:03.475Z" },
+    { url = "https://files.pythonhosted.org/packages/ab/2a/98282aa5b8f58b1157d440bb6282eed47e3632a5de53a714fbab17e659fe/numpy-2.5.3-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:f9a2353b37a1a9e78fd82b27ad7e2a32a2d036604d18f02b05e3136c62ca3b09", size = 5439695, upload-time = "2026-09-06T16:25:05.978Z" },
+    { url = "https://files.pythonhosted.org/packages/a1/f9/b6533d777be9d6ffd29dc1be0867e563e6e8cc9a220ff1b716adc317f060/numpy-2.5.3-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:ccbc4665079665c3cf3bab4db9f6b095370cd6437d66be549b6c2a1fd19e1958", size = 6779395, upload-time = "2026-09-06T16:25:08.599Z" },
+    { url = "https://files.pythonhosted.org/packages/73/85/735720d04ec197c5dcfacdfc9922667c7f1f5f496a279b7ba4d7c74c4cc7/numpy-2.5.3-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:c76d5dde9f445058f83d0c02af00557a4db91de9a9a57c0df87d1535001d654b", size = 15681750, upload-time = "2026-09-06T16:25:11.173Z" },
+    { url = "https://files.pythonhosted.org/packages/3a/1b/3b16a9bc514a440a7a0883684111dcb1ef1aee960af2ca95da8fc775f124/numpy-2.5.3-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a5fa86b80fd24bcd1aff83ad23be44ea323de3f787be8f8b15d4a65621e25321", size = 16708577, upload-time = "2026-09-06T16:25:14.171Z" },
+    { url = "https://files.pythonhosted.org/packages/69/c4/386f397831b07328b639c96c5b62719346cf4baf07c68d927239752b1534/numpy-2.5.3-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:bd4cb9ad3c7889b9b3fe0a9a9fb5d2ed26f9879bff2608d9f01aed147a20d231", size = 17042047, upload-time = "2026-09-06T16:25:17.582Z" },
+    { url = "https://files.pythonhosted.org/packages/5f/3e/a700ecbf36e85ae8328fd3b0e12eeddc22ed6358a64cb2bd913e0d195d65/numpy-2.5.3-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:1302b90c0e52281681b2975adfe8a860cb7b12216a27b4b0b4207c44bf7bccf0", size = 18465724, upload-time = "2026-09-06T16:25:20.949Z" },
+    { url = "https://files.pythonhosted.org/packages/41/ee/38e785e88a4045f6ad1d1f2808dcdfafdca48c760260c0587bf171e29fc9/numpy-2.5.3-cp313-cp313-win32.whl", hash = "sha256:1c80eabb4035ecf4ca9cd49cde8a9fdd69a729e63e6474887d1523ade7aa277f", size = 6129003, upload-time = "2026-09-06T16:25:23.664Z" },
+    { url = "https://files.pythonhosted.org/packages/f3/ec/100f2b1794ede74a9b3d7ec6b9736927f56713414c1dfe19ab6c383494bf/numpy-2.5.3-cp313-cp313-win_amd64.whl", hash = "sha256:71cad2b2a7451ab79d8f5e71b453485b6775963d5cf794179144a7463fe6e8ec", size = 12560965, upload-time = "2026-09-06T16:25:26.602Z" },
+    { url = "https://files.pythonhosted.org/packages/80/b1/7dc825ca94c12acebbce4c37caa5e198695eb31424bc579679f32b1bb49d/numpy-2.5.3-cp313-cp313-win_arm64.whl", hash = "sha256:8e4dd766076855b5ff7ea52fa5f07ce26286726e0f8bff446b7739d02e6ea204", size = 10482343, upload-time = "2026-09-06T16:25:29.772Z" },
+    { url = "https://files.pythonhosted.org/packages/70/78/cf416f15dc29375a229d9dfebf8db6e313f291580b39fa1a568b6052bb07/numpy-2.5.3-cp314-cp314-macosx_10_15_x86_64.whl", hash = "sha256:350ba9783ce969cf9f7ce6e6a9a58e1a6e2a19ca025b7ee448c4db727706212a", size = 16998686, upload-time = "2026-09-06T16:25:33.171Z" },
+    { url = "https://files.pythonhosted.org/packages/9e/59/abcc2d8def4fd60eec7d87f92d27c13448ffd9ab14339bcc63a0d7a2fdea/numpy-2.5.3-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:012e66aca395d795496446e52aeeb5866312a5d4d3f27da270e5a0b43f70dc5c", size = 12013862, upload-time = "2026-09-06T16:25:36.748Z" },
+    { url = "https://files.pythonhosted.org/packages/94/75/4640d2d6e4b64a049e48425a82728a41ef4adb61332d2cba68055774878b/numpy-2.5.3-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:adc1ada2662f8a5f960b8a10d9986897e7499ef07e06d4cfe7197f8cce923c07", size = 5449793, upload-time = "2026-09-06T16:25:39.476Z" },
+    { url = "https://files.pythonhosted.org/packages/96/cd/625b57ae33d4ca560f32cc0b47b4a5922146d9beb998ddf773900d440a73/numpy-2.5.3-cp314-cp314-macosx_14_0_x86_64.whl", hash = "sha256:54a115e5a73b8fc44f0cebef486365a1894b5c9760685d4558b72b7c3eb846e0", size = 6785176, upload-time = "2026-09-06T16:25:42.069Z" },
+    { url = "https://files.pythonhosted.org/packages/9c/72/12918652e7912ef9751e8694c88820fcd1908e0618cb23f5f3caa6004b7b/numpy-2.5.3-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:be5a8381859b6da607c84f4f7d6847725f1cf1853ef8a2c9e115b7d58bef47dc", size = 15703377, upload-time = "2026-09-06T16:25:45.135Z" },
+    { url = "https://files.pythonhosted.org/packages/45/8f/9beacf79ca7c650688ad0baa80931adb988fe6e6e5d5903c23cc3dbd70eb/numpy-2.5.3-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:b0521d0f4aebb6e06189451025fa17a913287b13c03d5fe05c017333b654ea5b", size = 16711928, upload-time = "2026-09-06T16:25:48.461Z" },
+    { url = "https://files.pythonhosted.org/packages/09/8d/41d0a56e1ac4c87495c897a211b1368691b7237aadabec8b3b8f3a74d48f/numpy-2.5.3-cp314-cp314-musllinux_1_2_aarch64.whl", hash = "sha256:9deb49575e5b0b94ed72c8a64ec4d033381adc27e9060ae842971f697ba96104", size = 17059507, upload-time = "2026-09-06T16:25:51.873Z" },
+    { url = "https://files.pythonhosted.org/packages/08/1e/0dfbc5cc251d54e2af790f254d24ec38637fa97ec7d5d11de7ffed787098/numpy-2.5.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:b00eefbcf0f292945c4b4dec2ae845389ef5bcdcd596e6e4328051db5b5ba694", size = 18471002, upload-time = "2026-09-06T16:25:55.233Z" },
+    { url = "https://files.pythonhosted.org/packages/b5/2c/dfa40f6991f8185c8c30ffd023dfcbb11888e823cfab9557b920f3bb7bed/numpy-2.5.3-cp314-cp314-win32.whl", hash = "sha256:c2381f82999704f818e2c987a865050e285ec3621262c66d40f5a96c8f899f8e", size = 6180485, upload-time = "2026-09-06T16:25:58.157Z" },
+    { url = "https://files.pythonhosted.org/packages/a4/73/d2c08231e4fde7e415501fd02c715d96e98599b2d8384445933944152984/numpy-2.5.3-cp314-cp314-win_amd64.whl", hash = "sha256:2c25dfa72943e4336ddb6b0ee4277b47a0c85bede0807530ec68103bf58e2c10", size = 12698179, upload-time = "2026-09-06T16:26:00.789Z" },
+    { url = "https://files.pythonhosted.org/packages/5c/e9/dcdcc9b95cf5f49815055573aee1b11cfbf5299f38a180e437ded050810f/numpy-2.5.3-cp314-cp314-win_arm64.whl", hash = "sha256:15aa985ac73a8db02db7663381aa109510449d3819d37206caed27b33a65a8a6", size = 10769383, upload-time = "2026-09-06T16:26:04.011Z" },
+    { url = "https://files.pythonhosted.org/packages/49/c4/af8bc08a7ef4e1529a7c0cf24969accce316b783999802089a581ec99272/numpy-2.5.3-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:ac7bb1c52d445bd4f8f7f97fefe6abc3a084dc4d63df50d79b17fa2b78e89297", size = 12132668, upload-time = "2026-09-06T16:26:07.138Z" },
+    { url = "https://files.pythonhosted.org/packages/c5/ae/0f15eb56d4ec5e13c1f7ff04ff407f997d1acbadb45d3e1f2e2645a8f43c/numpy-2.5.3-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:e6ab667ba76450084eb64013762c438ea76d9d29cc676dcd6c2e9892ba37f841", size = 5568580, upload-time = "2026-09-06T16:26:09.828Z" },
+    { url = "https://files.pythonhosted.org/packages/23/fb/c72a8f25d4b6e96c354e7ab45ace3b27dc11e5d6a13b6c7d0cd6b08bf112/numpy-2.5.3-cp314-cp314t-macosx_14_0_x86_64.whl", hash = "sha256:f7fabeb6cea87d65f3b926de33d03fb016cfdc29314c90974383b5582ae72891", size = 6882634, upload-time = "2026-09-06T16:26:12.524Z" },
+    { url = "https://files.pythonhosted.org/packages/07/a9/968c90ed2ab15060c338e8137f1215b5a60756ae07328e0a60d1c6734df4/numpy-2.5.3-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1fb6f8fb9ff0b3a69f52c66ce397b0246583e9f28616231b0e32ca49259a5fa6", size = 15748923, upload-time = "2026-09-06T16:26:15.092Z" },
+    { url = "https://files.pythonhosted.org/packages/59/08/9df04103947b95e3b6b1f2ed1a70521f325647a31b82da6a2aae3a485508/numpy-2.5.3-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:93e1f5447e2b1e479d7bd74701e84746b86450cff1fc368b132d195e2b8f8211", size = 16746748, upload-time = "2026-09-06T16:26:18.43Z" },
+    { url = "https://files.pythonhosted.org/packages/41/a0/14c8d5fe5b53a334aabb653deb391c0fef49558f491880ea300ed6785224/numpy-2.5.3-cp314-cp314t-musllinux_1_2_aarch64.whl", hash = "sha256:c00abe94c1a69d75d827dcf1c025b25c8a45d230b3bcd77a9020883a1b047653", size = 17111561, upload-time = "2026-09-06T16:26:22.113Z" },
+    { url = "https://files.pythonhosted.org/packages/c4/a6/d7e96e42f01522e154c32489640f16dfc4f6181d165d05fc3bec8c2c4999/numpy-2.5.3-cp314-cp314t-musllinux_1_2_x86_64.whl", hash = "sha256:536f963710a4e63934d80ac0dc4f478804a83e9a84b6828018f25d09953ada33", size = 18513945, upload-time = "2026-09-06T16:26:25.401Z" },
+    { url = "https://files.pythonhosted.org/packages/25/39/3453afb7119d0449ef11c886874120ff180e2c337760e0e2d88f70f1a945/numpy-2.5.3-cp314-cp314t-win32.whl", hash = "sha256:4c8a6d2ebce6305fd82fbefca827775437147052a976ee7c94b36a0c1b52ac6c", size = 6335421, upload-time = "2026-09-06T16:26:28.175Z" },
+    { url = "https://files.pythonhosted.org/packages/99/01/22815d2b19a1a746b1d45205cffebb3fe511a18acb75fba6c88491fc9894/numpy-2.5.3-cp314-cp314t-win_amd64.whl", hash = "sha256:9a37475425b431b4d060f23b4f52cd2f3aef6bc7c654bd760adf0040eec9d435", size = 12896420, upload-time = "2026-09-06T16:26:31.265Z" },
+    { url = "https://files.pythonhosted.org/packages/fa/ee/a7cbba67eeaff038dc29ca8b98a88396c8b0cc9c89d4924f4a27a5c9150b/numpy-2.5.3-cp314-cp314t-win_arm64.whl", hash = "sha256:2d8240cb4c16fd831074aa2b2cf9fc54664d826341d61c372245b96a74a49a9a", size = 10857177, upload-time = "2026-09-06T16:26:34.167Z" },
+    { url = "https://files.pythonhosted.org/packages/45/56/78194492883ff5eec90423fe56a3a44b154da047d88a6307f629713c584f/numpy-2.5.3-cp315-cp315-macosx_10_15_x86_64.whl", hash = "sha256:a6391fafaba97500887132cd582abc6e19452b1ac775a47caa7b24490e152058", size = 16996531, upload-time = "2026-09-06T16:26:37.287Z" },
+    { url = "https://files.pythonhosted.org/packages/11/39/dd55c0af90bbab564b09ae3b0aa60ec5c02b900fa4f1ba23440525c8b32d/numpy-2.5.3-cp315-cp315-macosx_11_0_arm64.whl", hash = "sha256:09d5a423c71ad5feb5625844ad58050e35df43871004b52ac9c0ad44a56775be", size = 12012569, upload-time = "2026-09-06T16:26:40.707Z" },
+    { url = "https://files.pythonhosted.org/packages/b6/51/04f67d32e4862b281b1cb84ceeaed3421189a84fb6fb51a391cd6d5009f7/numpy-2.5.3-cp315-cp315-macosx_14_0_arm64.whl", hash = "sha256:f9579f383d1bf9df80081e72760e84960a7fd4f88cf0c9e535a8597c9bb646f5", size = 5448498, upload-time = "2026-09-06T16:26:43.435Z" },
+    { url = "https://files.pythonhosted.org/packages/a3/c9/25b4dc0dd1344ec26c7319e84fd4e9809d2b5628f4e12decd618036e5178/numpy-2.5.3-cp315-cp315-macosx_14_0_x86_64.whl", hash = "sha256:86bff898a431c0fb71f7610b75726e75a54d47b37edc9d537f48de63bb3c0b90", size = 6783026, upload-time = "2026-09-06T16:26:46.374Z" },
+    { url = "https://files.pythonhosted.org/packages/fc/c7/29285be1e5232a6e7ee3268a33c85843f5a8ee93350c6465cddd66ebbf76/numpy-2.5.3-cp315-cp315-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1f3ed25271581281f2fccb1adcedfcde4c07362eec69189b50baf6f90e3ae159", size = 15697322, upload-time = "2026-09-06T16:26:49.415Z" },
+    { url = "https://files.pythonhosted.org/packages/55/49/bbad5335fb4996a16881f853ff3e0ba582f01720e55c89b1c06b8fc42a90/numpy-2.5.3-cp315-cp315-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:ffdc76bfcae6b255dff75202c5e7feaf95b40246bc0a17944facc1fecf9f79ab", size = 16708995, upload-time = "2026-09-06T16:26:53.127Z" },
+    { url = "https://files.pythonhosted.org/packages/ef/e9/1df35483760b04a65ea44669f89dc64f30e5aca098b48ceb8b1310b0e0fe/numpy-2.5.3-cp315-cp315-musllinux_1_2_aarch64.whl", hash = "sha256:116f96cadd935c6122e9228d676fe7ede19e741f5c8bb1c3cddbe0c51ccebea2", size = 17052508, upload-time = "2026-09-06T16:26:56.464Z" },
+    { url = "https://files.pythonhosted.org/packages/b8/99/66e54da8265cc8be8a7382bf96edce17aaa2837d6f484432025932a3caa5/numpy-2.5.3-cp315-cp315-musllinux_1_2_x86_64.whl", hash = "sha256:09ffa5d903faeaa5c4dd05009cf81c8bab9f2cb37c548b8d39b65b4cfa7c97f7", size = 18468224, upload-time = "2026-09-06T16:26:59.966Z" },
+    { url = "https://files.pythonhosted.org/packages/01/bc/b5e90a91c115168d793dfd2ad9c69c438c2fe7a13a437e770bc5b078e732/numpy-2.5.3-cp315-cp315-win32.whl", hash = "sha256:e01c918ac3d48e18a927cf7b14a26a3e29ff2bdf2eacb976da0aecd6a43ed034", size = 6179919, upload-time = "2026-09-06T16:27:03.166Z" },
+    { url = "https://files.pythonhosted.org/packages/37/ea/780748fd3985109075514ef8fc64cd25f943e40dde13a6d59141eb268fc8/numpy-2.5.3-cp315-cp315-win_amd64.whl", hash = "sha256:e931e4f499e0dc7ef29d269a8e5b35dd722e5d14be07df6240166ea7c6532fae", size = 12697656, upload-time = "2026-09-06T16:27:06.153Z" },
+    { url = "https://files.pythonhosted.org/packages/b3/16/407be69a2a87c8cab64d95975a8977a426a29e138f07e276ec258f0fe4e5/numpy-2.5.3-cp315-cp315-win_arm64.whl", hash = "sha256:26e15e4aecd8617dfbaecb37d223e365d7b39411fba20454be2670a96aa74cb5", size = 10767601, upload-time = "2026-09-06T16:27:09.297Z" },
+    { url = "https://files.pythonhosted.org/packages/44/bf/a97ffb01e41d50a32a9177aef942a4d0e389a3daf451d04e5f38ef6afb87/numpy-2.5.3-cp315-cp315t-macosx_10_15_x86_64.whl", hash = "sha256:6cef4bb1706dfec49243c05d921eefb4e190d41e2528b30d8035ea1f36b4c24a", size = 17090092, upload-time = "2026-09-06T16:27:12.907Z" },
+    { url = "https://files.pythonhosted.org/packages/d1/24/136c02f2c2af9a067a84d0c3aa10c99012c0476fa5066732fa4a4202557d/numpy-2.5.3-cp315-cp315t-macosx_11_0_arm64.whl", hash = "sha256:d1c89973648c85069c5046ad460f7b8a00218b29a2e42359ac8cc63e9ab94832", size = 12129429, upload-time = "2026-09-06T16:27:16.089Z" },
+    { url = "https://files.pythonhosted.org/packages/fe/6c/b47582d6597789bf946d5efbeb6b9e56fd8bcbd5efc6fbf51dbe1ea31eb3/numpy-2.5.3-cp315-cp315t-macosx_14_0_arm64.whl", hash = "sha256:214045a5bf00113a146ab9ee9730c44501af6723cdf1f6830932f7b5ef2e7af0", size = 5565452, upload-time = "2026-09-06T16:27:19.868Z" },
+    { url = "https://files.pythonhosted.org/packages/be/b4/ef3cc6da73774202d4deae16bb321fd8298a4e0561e3539f8c4be237d916/numpy-2.5.3-cp315-cp315t-macosx_14_0_x86_64.whl", hash = "sha256:8617bbfae4486cf99c9f899966699428d19da931d06ca94ad3da986c76e15997", size = 6876736, upload-time = "2026-09-06T16:27:22.232Z" },
+    { url = "https://files.pythonhosted.org/packages/9e/24/e3813329498596cb842703dcacac1741612ed9fb9c4e6a3e0c7e2ebbc597/numpy-2.5.3-cp315-cp315t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:595d020938c84e320bcf40ad71089e108eac0d377cd018e14a8c094f39e98d85", size = 15745777, upload-time = "2026-09-06T16:27:25.181Z" },
+    { url = "https://files.pythonhosted.org/packages/4a/9e/4e7a07fd0776dc2210cdacf2010be8665194d094defc10c419d7dea794cc/numpy-2.5.3-cp315-cp315t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:6f24021b9f22bc6301c37b196974a92c1c18dccedb6fef3dd252e95f2d6adbe4", size = 16746949, upload-time = "2026-09-06T16:27:28.576Z" },
+    { url = "https://files.pythonhosted.org/packages/91/db/01674c0e20335057813a00c2ebd546ed25bff9ed7914f9bced00f8c55d94/numpy-2.5.3-cp315-cp315t-musllinux_1_2_aarch64.whl", hash = "sha256:71b39d9f935b6ec0f8753e3e2afb51e3efba6f2e05b68b32a40754d24bcd4a3c", size = 17108994, upload-time = "2026-09-06T16:27:31.946Z" },
+    { url = "https://files.pythonhosted.org/packages/45/7a/584c5e71f8d378e57cac0b033891ed65c683ef90573ba4854e8c28203db0/numpy-2.5.3-cp315-cp315t-musllinux_1_2_x86_64.whl", hash = "sha256:6b05c171afb3aa07adbd20abc00aea86fe375beb0fdb9ef780ec5b7f63bab1c0", size = 18512266, upload-time = "2026-09-06T16:27:35.196Z" },
+    { url = "https://files.pythonhosted.org/packages/a1/d2/4e1014173aa3c55e6a756e0e567290743a6ab33a288460374d7ef6bcd239/numpy-2.5.3-cp315-cp315t-win32.whl", hash = "sha256:f54660b0eb6b0b9f36e7fe1cdfdff472028dd0d14acd9b9b65098efbad059469", size = 6330292, upload-time = "2026-09-06T16:27:38.149Z" },
+    { url = "https://files.pythonhosted.org/packages/6c/b0/ff5658a58199b7bcaad87bf260eef6713d9d42cca4e028f935b4fc5fbac6/numpy-2.5.3-cp315-cp315t-win_amd64.whl", hash = "sha256:1aad64d99730d013cfc6debafed22783b4fc5a7f4b8bc744d2d8cf7dcc880551", size = 12884918, upload-time = "2026-09-06T16:27:40.965Z" },
+    { url = "https://files.pythonhosted.org/packages/fb/0b/b12a2df5d1b774bd9007a6fdff9381145b6223d37f11afc9c37ab0efd9a1/numpy-2.5.3-cp315-cp315t-win_arm64.whl", hash = "sha256:befa1ae5bd6030b3f512b43ff3fa5290bbed6b84411a44244b14adf835f5b89d", size = 10850807, upload-time = "2026-09-06T16:27:43.868Z" },
+]
+
 [[package]]
 name = "olefile"
 version = "0.47"
@@ -798,6 +1393,25 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/36/54/0169bc772ec491108b62f644f8ecf1fe5d8ae5ebafde2ee2142210166903/pillow-12.3.0-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:04f01d28a6aaff387bf842a13be313df23ba0597a44f1a976c9feb3c6ff4711a", size = 7231786, upload-time = "2026-07-01T11:56:35.046Z" },
 ]
 
+[[package]]
+name = "playwright"
+version = "1.62.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "greenlet" },
+    { name = "pyee" },
+]
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/6c/5b/ca2abcf3aa69f9fb510215e3064f30b57fe57657c8d04ede45bb966d5606/playwright-1.62.0-py3-none-macosx_10_13_x86_64.whl", hash = "sha256:d8da938f3748841a8754f2e1f0216902c1c8f8ae3720de8b32ccf8e6913a7c4f", size = 43732091, upload-time = "2026-07-31T17:00:44.178Z" },
+    { url = "https://files.pythonhosted.org/packages/af/1a/0bfbe9904350961f4dbb713f04342e40d548c5fc26c8157bd13617c81492/playwright-1.62.0-py3-none-macosx_11_0_arm64.whl", hash = "sha256:db755ab27db21a04186f1fe8169888e42356086e439b1059b923ef417f0b6034", size = 42510842, upload-time = "2026-07-31T17:00:48.596Z" },
+    { url = "https://files.pythonhosted.org/packages/66/dc/c0486b407ad0699a250f6bbe3066fca95344009a99ca66e88ca175c69dc1/playwright-1.62.0-py3-none-macosx_11_0_universal2.whl", hash = "sha256:5108bd5b3e87169ddf269feee097da5893af7f8aea4634dfc840518d64c1f1da", size = 43732093, upload-time = "2026-07-31T17:00:52.218Z" },
+    { url = "https://files.pythonhosted.org/packages/43/6b/b24aebc2b04bffcb342bccf96e287c78b363e1615bed5cea97500cc0393a/playwright-1.62.0-py3-none-manylinux1_x86_64.whl", hash = "sha256:ba33bae6a13b3d9d354c751cb618af357d20fe1d57767cbcce52079bbef17ad3", size = 47748926, upload-time = "2026-07-31T17:00:56.438Z" },
+    { url = "https://files.pythonhosted.org/packages/36/43/b4b18bdc87e1949568fffdcde3ff9a0456266b2d0c6d4432cc34d89ea6eb/playwright-1.62.0-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:db2d76613a57ad844362ce42f7d0c2fa26b19a4f7a46d4f76b891c631e6e5aff", size = 47441423, upload-time = "2026-07-31T17:01:00.404Z" },
+    { url = "https://files.pythonhosted.org/packages/81/22/af5d926fc2c32a339eec00a443644bc40ab9db1dd2dd9017873c59773c0c/playwright-1.62.0-py3-none-win32.whl", hash = "sha256:e5614fa89355d7081457680324bb219f79f69c423c5cb6fa250e30b0d8aebf1c", size = 38164450, upload-time = "2026-07-31T17:01:04.187Z" },
+    { url = "https://files.pythonhosted.org/packages/2b/a9/4160c1033c07af98bf841ad079457dd78408a5ee0dd56cbfe50b8b6a1c22/playwright-1.62.0-py3-none-win_amd64.whl", hash = "sha256:92c0d98ed04eb35af557b709875edba415b1f548bdb22ddb5bb3e1e6c835c2f1", size = 38164458, upload-time = "2026-07-31T17:01:08.459Z" },
+    { url = "https://files.pythonhosted.org/packages/6c/ec/06b55d619a7082a766aa04f2c6bb31435c87f02930087d8a0517119408fa/playwright-1.62.0-py3-none-win_arm64.whl", hash = "sha256:ea8d3055aa9d5a9f1832ac82517bd8b42c78fac7ebcbebb0107116735c8cb6a1", size = 34208868, upload-time = "2026-07-31T17:01:11.818Z" },
+]
+
 [[package]]
 name = "pluggy"
 version = "1.6.0"
@@ -933,6 +1547,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/4b/2d/69abac8f838090bbecd5df894befb2c2619e7996a98ddb949db9f3b93225/pydantic_core-2.46.4-pp311-pypy311_pp73-win_amd64.whl", hash = "sha256:d51026d73fcfd93610abc7b27789c26b313920fcfb20e27462d74a7f8b06e983", size = 2193071, upload-time = "2026-05-06T13:38:08.682Z" },
 ]
 
+[[package]]
+name = "pyee"
+version = "13.0.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/8b/04/e7c1fe4dc78a6fdbfd6c337b1c3732ff543b8a397683ab38378447baa331/pyee-13.0.1.tar.gz", hash = "sha256:0b931f7c14535667ed4c7e0d531716368715e860b988770fc7eb8578d1f67fc8", size = 31655, upload-time = "2026-02-14T21:12:28.044Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a0/c4/b4d4827c93ef43c01f599ef31453ccc1c132b353284fc6c87d535c233129/pyee-13.0.1-py3-none-any.whl", hash = "sha256:af2f8fede4171ef667dfded53f96e2ed0d6e6bd7ee3bb46437f77e3b57689228", size = 15659, upload-time = "2026-02-14T21:12:26.263Z" },
+]
+
 [[package]]
 name = "pygments"
 version = "2.21.0"
@@ -942,6 +1568,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/71/46/17f022dd3e953bf20a04a028a21ec746d942f8d2af30fa0f124fa0e6a684/pygments-2.21.0-py3-none-any.whl", hash = "sha256:2363c69b61c4a97c838da3b130dcd6468f4848992b21a82f2a63ec34377137d9", size = 1250147, upload-time = "2026-08-17T08:02:44.912Z" },
 ]
 
+[[package]]
+name = "pyparsing"
+version = "3.3.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/f3/91/9c6ee907786a473bf81c5f53cf703ba0957b23ab84c264080fb5a450416f/pyparsing-3.3.2.tar.gz", hash = "sha256:c777f4d763f140633dcb6d8a3eda953bf7a214dc4eff598413c070bcdc117cbc", size = 6851574, upload-time = "2026-01-21T03:57:59.36Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/10/bd/c038d7cc38edc1aa5bf91ab8068b63d4308c66c4c8bb3cbba7dfbc049f9c/pyparsing-3.3.2-py3-none-any.whl", hash = "sha256:850ba148bd908d7e2411587e247a1e4f0327839c40e2e5e6d05a007ecc69911d", size = 122781, upload-time = "2026-01-21T03:57:55.912Z" },
+]
+
 [[package]]
 name = "pytest"
 version = "8.4.2"
@@ -958,6 +1593,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/a8/a4/20da314d277121d6534b3a980b29035dcd51e6744bd79075a6ce8fa4eb8d/pytest-8.4.2-py3-none-any.whl", hash = "sha256:872f880de3fc3a5bdc88a11b39c9710c3497a547cfa9320bc3c5e62fbf272e79", size = 365750, upload-time = "2025-09-04T14:34:20.226Z" },
 ]
 
+[[package]]
+name = "python-dateutil"
+version = "2.9.0.post0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "six" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/66/c0/0c8b6ad9f17a802ee498c46e004a0eb49bc148f2fd230864601a86dcf6db/python-dateutil-2.9.0.post0.tar.gz", hash = "sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3", size = 342432, upload-time = "2024-03-01T18:36:20.211Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/ec/57/56b9bcc3c9c6a792fcbaf139543cee77261f3651ca9da0c93f5c1221264b/python_dateutil-2.9.0.post0-py2.py3-none-any.whl", hash = "sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427", size = 229892, upload-time = "2024-03-01T18:36:18.57Z" },
+]
+
 [[package]]
 name = "python-docx"
 version = "1.2.0"
@@ -1185,6 +1832,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/10/85/48f0abdcef5cce4e034c7a5b0ceeceba0b01bf0d942824f4bb720afe2dec/rpds_py-2026.6.3-pp311-pypy311_pp73-musllinux_1_2_x86_64.whl", hash = "sha256:8e65860d238379ed982fd9ba690579b5e95af2f4840f99c772816dbe573cb826", size = 586486, upload-time = "2026-06-30T07:17:51.141Z" },
 ]
 
+[[package]]
+name = "six"
+version = "1.17.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/94/e7/b2c673351809dca68a0e064b6af791aa332cf192da575fd474ed7d6f16a2/six-1.17.0.tar.gz", hash = "sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81", size = 34031, upload-time = "2024-12-04T17:35:28.174Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/b7/ce/149a00dd41f10bc29e5921b496af8b574d8413afcd5e30dfa0ed46c2cc5e/six-1.17.0-py2.py3-none-any.whl", hash = "sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274", size = 11050, upload-time = "2024-12-04T17:35:26.475Z" },
+]
+
 [[package]]
 name = "sqlite-vec"
 version = "0.1.9"

frontend/README.md

@@ -1,5 +1,7 @@
 # NotesAgent Frontend
 
+> 第二阶段收尾：标准 Agent/RAG Benchmark 与报告页、函数图预览、三格式快照导出及真实 Provider/MCP 结果见[实现与验收记录](../docs/development/第二阶段收尾实现与验收-2026-09-07.md)。当前分支尚未合并，不更改下文历史 main 基线。
+
 NotesAgent Frontend 是基于 Vue 3、TypeScript、Vite、Pinia、Vue Router、Milkdown 和 CodeMirror 6 的 Web 联调前端。当前页面调用 FastAPI 真实接口，不使用业务 Mock 作为运行时回退；测试文件中的 mock 只用于隔离单元和组件测试。
 
 ## 初始化与运行
@@ -19,6 +21,7 @@ pnpm dev
 | `/search` | 全文、向量和混合检索；从后端读取并清空搜索历史 |
 | `/chat` | 流式 AI 对话、知识库上下文与 Citation |
 | `/agent/runs/:runId?` | 创建 Agent 运行，查看可恢复 Trace 与 Tool/Permission 事件 |
+| `/benchmarks` | RAG/Agent 数据集、参数、真实运行、报告下载与 Trace 入口 |
 | `/media` | 上传音频、创建/取消/重试转写、修订结果并生成知识库笔记 |
 | `/tasks` | 管理用户、笔记和 Agent 产生的任务 |
 | `/extensions/skills` | Skill 安装、启停与配置 |

frontend/scripts/benchmark-theme-check.cjs

@@ -0,0 +1,34 @@
+// Visual fixtures only: all API traffic is intercepted; no provider calls or user data.
+const {chromium}=require('playwright');const fs=require('node:fs/promises');const path=require('node:path');
+(async()=>{
+ const output=path.resolve(process.argv[2]||'.local-plans/phase2-review/themes');await fs.mkdir(output,{recursive:true});
+ const browser=await chromium.launch({channel:'msedge',headless:true});const results=[];
+ for(const theme of ['light','dark','sepia','paper-moments','ocean-blue','midnight-purple']){
+  const page=await browser.newPage({viewport:{width:1280,height:1400}});let populated=false;const errors=[];page.on('pageerror',e=>errors.push(e.message));
+  const run=(id,status,progress)=>({run_id:id,kind:'rag',dataset_id:'rag-demo-v1',status,progress,error_code:status==='failed'?'BENCHMARK_RUN_FAILED':null,config_snapshot:{}});
+  await page.route('**/api/**',async route=>{
+   const request=route.request();const url=new URL(request.url());let body={items:[]};
+   if(url.pathname==='/api/benchmarks/datasets')body={items:[{dataset_id:'rag-demo-v1',description:'视觉测试数据集',case_count:24}]};
+   else if(url.pathname==='/api/providers')body={items:[]};
+   else if(url.pathname==='/api/benchmarks/rag/runs'&&request.method()==='POST'){populated=true;body=run('visual-completed','completed',1)}
+   else if(url.pathname==='/api/benchmarks/runs')body={items:populated?[run('visual-completed','completed',1),run('visual-running','running',.5),run('visual-failed','failed',.25)]:[]};
+   else if(url.pathname.endsWith('/report'))body={metrics:{fts:{total_cases:24,hit_at_1:.875,hit_at_5:1,mrr:.9235,citation_hit_rate:.75,p50_latency_ms:12.43,p95_latency_ms:22.16,failed_cases:0}},cases:[],config_snapshot:{fixture:true}};
+   else if(url.pathname==='/status')body={status:'ready'};
+   await route.fulfill({json:body});
+  });
+  await page.goto('http://127.0.0.1:5189/#/benchmarks');await page.getByText('还没有评测记录',{exact:true}).waitFor();
+  await page.evaluate(async id=>{const{useThemeStore}=await import('/src/stores/theme.ts');const store=useThemeStore();if(!['light','dark','sepia'].includes(id))await store.installCommunityTheme(id);if(!store.applyTheme(id,{persist:false}))throw Error('theme failed')},theme);
+  await page.screenshot({path:path.join(output,`${theme}-empty.png`)});
+  await page.getByRole('button',{name:'运行评测',exact:true}).click();
+  await page.getByRole('button',{name:'查看报告',exact:true}).first().waitFor();await page.getByRole('button',{name:'查看报告',exact:true}).first().click();
+  await page.getByText('87.5%',{exact:true}).waitFor();
+  await page.locator('#benchmark-topk').focus();
+  await page.screenshot({path:path.join(output,`${theme}-report.png`)});
+  const colors=await page.evaluate(()=>{const read=selector=>{const s=getComputedStyle(document.querySelector(selector));return {background:s.backgroundColor,color:s.color,border:s.borderColor}};return {panel:read('.benchmark-config'),input:read('#benchmark-topk'),button:read('.benchmark-config .button-primary'),metric:read('.metric-card')}});
+  await page.setViewportSize({width:390,height:1100});await page.screenshot({path:path.join(output,`${theme}-narrow.png`)});
+  const overflow=await page.evaluate(()=>document.documentElement.scrollWidth>innerWidth);
+  await page.locator('.benchmark-report').scrollIntoViewIfNeeded();await page.screenshot({path:path.join(output,`${theme}-narrow-report.png`)});
+  if(errors.length||overflow)throw Error(JSON.stringify({theme,errors,overflow}));results.push({theme,errors,overflow,colors});await page.close();
+ }
+ await fs.writeFile(path.join(output,'results.json'),JSON.stringify(results,null,2));await browser.close();console.log(JSON.stringify(results));
+})().catch(e=>{console.error(e);process.exit(1)});

frontend/scripts/phase2-benchmark-browser.cjs

@@ -0,0 +1,22 @@
+const {chromium}=require('playwright');const fs=require('node:fs/promises');const path=require('node:path');
+(async()=>{
+ if(!process.argv.includes('--execute')&&!process.argv.includes('--reuse'))throw Error('--execute required; four real Agent cases use existing quota');
+ const output=path.resolve('.local-plans/phase2-completion/browser');
+ const browser=await chromium.launch({channel:'msedge',headless:true});
+ const page=await browser.newPage({viewport:{width:1300,height:1000}});
+ await page.goto('http://127.0.0.1:5187/#/benchmarks');
+ await page.getByLabel(/^类型/).selectOption('agent');
+ await page.getByLabel(/^数据集/).selectOption('agent-core-v1');
+ if(!process.argv.includes('--reuse')) await page.getByRole('button',{name:'运行评测',exact:true}).click();
+ const row=page.locator('tbody tr').filter({hasText:'agent-core-v1'}).first();
+ await row.getByRole('button',{name:'查看报告'}).waitFor({timeout:180000});
+ await row.getByRole('button',{name:'查看报告'}).click();
+ await page.getByRole('heading',{name:'评测报告'}).waitFor();
+ await page.screenshot({path:path.join(output,'benchmark-report.png'),fullPage:true});
+ const pending=page.waitForEvent('download');await page.getByRole('button',{name:'下载完整 JSON'}).click();
+ await(await pending).saveAs(path.join(output,'agent-ui-report.json'));
+ await row.getByRole('link',{name:'执行轨迹'}).click();
+ await page.waitForSelector('.agent-page .trace-visualization',{timeout:20000});
+ await page.screenshot({path:path.join(output,'benchmark-trace.png'),fullPage:true});
+ await browser.close();console.log('Benchmark UI start/report/download/Trace completed');
+})().catch(e=>{console.error(e);process.exit(1)})

frontend/scripts/phase2-browser-check.cjs

@@ -0,0 +1,94 @@
+// Run with NODE_PATH pointing to the bundled Playwright package, or a local install.
+const { chromium } = require('playwright')
+const fs = require('node:fs/promises')
+const path = require('node:path')
+;(async () => {
+  const output=path.resolve(process.argv[2] || '../.local-plans/phase2-completion/browser')
+  await fs.mkdir(output,{recursive:true})
+  const browser=await chromium.launch({channel:'msedge',headless:true})
+  const results=[]
+  for(const theme of ['light','dark','sepia','paper-moments','ocean-blue','midnight-purple']) {
+    const page=await browser.newPage({viewport:{width:1200,height:1000}})
+    const errors=[];page.on('pageerror',e=>errors.push(e.message))
+    await page.goto(`http://127.0.0.1:5187/tests/visual/phase2.html?theme=${theme}`)
+    await page.waitForSelector('.editor-mermaid-preview polyline',{timeout:60000})
+    await page.waitForSelector('.markdown-mermaid polyline',{timeout:60000})
+    const zoom=page.locator('.markdown-mermaid').first()
+    await zoom.hover()
+    await zoom.locator('[data-diagram-action="in"]').click()
+    if(Number(await zoom.getAttribute('data-diagram-scale'))<=1) throw Error('zoom failed')
+    await zoom.locator('[data-diagram-action="reset"]').click()
+    await zoom.locator('[data-code-action="source"]').click()
+    if(!(await zoom.locator('.markdown-code-source').isVisible())) throw Error('source toggle failed')
+    await zoom.locator('[data-code-action="source"]').click()
+    await zoom.hover()
+    await zoom.locator('[data-diagram-action="view"]').click()
+    await page.screenshot({path:path.join(output,`${theme}-viewer.png`)})
+    await page.keyboard.press('Escape')
+    await page.screenshot({path:path.join(output,`${theme}-wide.png`),fullPage:true})
+    await page.setViewportSize({width:390,height:844})
+    await page.screenshot({path:path.join(output,`${theme}-narrow.png`),fullPage:true})
+    if(theme==='light') {
+      await page.setViewportSize({width:1200,height:1000})
+      await page.getByRole('button',{name:'导出',exact:true}).click()
+      for(const format of ['html','pdf','docx']) {
+        await page.getByLabel('格式',{exact:true}).selectOption(format)
+        await page.getByRole('button',{name:'开始导出',exact:true}).click()
+        const row=page.locator('.export-modal > ul > li').filter({hasText:`phase2-demo.${format}`}).first()
+        await row.getByRole('button',{name:'下载',exact:true}).waitFor({timeout:60000})
+        const download=page.waitForEvent('download')
+        await row.getByRole('button',{name:'下载',exact:true}).click()
+        await (await download).saveAs(path.join(output,`demo.${format}`))
+      }
+      await page.screenshot({path:path.join(output,'export-jobs.png')})
+    }
+    if(theme==='light') {
+      await page.getByRole('button',{name:'关闭',exact:true}).click()
+      await page.getByRole('button',{name:'源码',exact:true}).click()
+      const input=page.getByRole('textbox',{name:'Markdown 源码编辑器'})
+      const original=await input.inputValue()
+      await input.fill(original.replace('y = x^2','y = cos(x)'))
+      await page.getByRole('button',{name:'写作',exact:true}).click()
+      await page.waitForFunction(()=>document.querySelector('.editor-mermaid-preview svg')?.textContent.includes('cos(x)'))
+      await page.getByRole('button',{name:'测试切换主题'}).click()
+      await page.waitForFunction(()=>document.documentElement.dataset.theme==='dark')
+      await page.waitForFunction(()=>document.querySelector('.editor-mermaid-preview svg rect')?.getAttribute('fill')!=='#ffffff')
+      await page.getByRole('button',{name:'源码',exact:true}).click()
+      await input.fill(original.replace('y = x^2','y = __import__("os")'))
+      await page.getByRole('button',{name:'写作',exact:true}).click()
+      await page.waitForFunction(()=>!document.querySelector('.editor-mermaid-preview polyline')&&!document.querySelector('.markdown-function-plot polyline'))
+      await page.screenshot({path:path.join(output,'invalid-expression.png'),fullPage:true})
+      await page.getByRole('button',{name:'源码',exact:true}).click()
+      await input.fill(original)
+      await page.getByRole('button',{name:'写作',exact:true}).click()
+      await page.waitForSelector('.editor-mermaid-preview polyline')
+      await page.getByRole('button',{name:'导出',exact:true}).click()
+      await page.getByLabel('格式',{exact:true}).selectOption('pdf')
+      await page.getByRole('button',{name:'开始导出',exact:true}).click()
+      await page.locator('.export-warnings').first().waitFor({timeout:60000})
+      await page.screenshot({path:path.join(output,'print-warning.png')})
+    }
+    results.push({theme,errors,plotCount:await page.locator('polyline').count()});await page.close()
+  }
+  const cancellation=await browser.newPage()
+  await cancellation.goto('http://127.0.0.1:5187/tests/visual/phase2.html')
+  await cancellation.getByRole('button',{name:'源码',exact:true}).click()
+  const heavy=Array(13).fill('```function-plot\ny = '+Array(150).fill('(x+x)').join('+')+'\n```').join('\n\n')
+  await cancellation.getByRole('textbox',{name:'Markdown 源码编辑器'}).fill(heavy)
+  await cancellation.getByRole('button',{name:'导出',exact:true}).click()
+  await cancellation.getByLabel('格式',{exact:true}).selectOption('pdf')
+  await cancellation.getByRole('button',{name:'开始导出',exact:true}).click()
+  const cancelRow=cancellation.locator('.export-modal > ul > li').first()
+  await cancelRow.getByRole('button',{name:'取消',exact:true}).click()
+  await cancellation.waitForFunction(()=>document.querySelector('.export-modal > ul > li')?.textContent.includes('已取消'),null,{timeout:60000})
+  await cancellation.screenshot({path:path.join(output,'export-cancelled.png')})
+  await cancellation.close()
+  const matrix=await browser.newPage()
+  await matrix.goto('http://127.0.0.1:5187/tests/visual/mermaid-matrix.html')
+  await matrix.waitForFunction(()=>document.documentElement.dataset.complete==='true',null,{timeout:120000})
+  const mermaid=JSON.parse(await matrix.locator('#status').textContent())
+  if(mermaid.passed!==36 || mermaid.total!==36) throw Error('Mermaid matrix failed')
+  await fs.writeFile(path.join(output,'mermaid-matrix.json'),JSON.stringify(mermaid,null,2))
+  await matrix.close()
+  await fs.writeFile(path.join(output,'results.json'),JSON.stringify(results,null,2));console.log(JSON.stringify(results));await browser.close()
+})().catch(e=>{console.error(e);process.exit(1)})

frontend/src/components/common/DiagramInteractions.vue

@@ -220,3 +220,8 @@ function close() { disarm(); viewer.value?.close(); svgHtml.value = ''; opener?.
 :is(.editor-mermaid-preview, .markdown-mermaid):is(:hover, :focus-within) > .diagram-controls { opacity: 1; pointer-events: auto; }
 @media (hover: none) { :is(.editor-mermaid-preview, .markdown-mermaid) > .diagram-controls { opacity: 1; pointer-events: auto; } }
 </style>
+
+<style>
+/* 窄屏仍保持 10px 坐标轴文字可读，溢出由现有图表容器滚动承接。 */
+.function-plot-preview > svg, .markdown-function-plot > svg { min-width: 640px; }
+</style>

frontend/src/components/common/MarkdownContent.vue

@@ -24,7 +24,7 @@ const diagramTheme = computed<'light' | 'dark'>(() => (themeStore.isDark ? 'dark
 // 主题切换需要重渲染：Mermaid SVG 的配色在渲染时烘焙，无法靠 CSS 变量事后调整。
 watch([() => props.source, diagramTheme, () => themeStore.currentThemeId, () => JSON.stringify(markdownPreferences.normalized), () => JSON.stringify([props.citationNumbers, props.citationAliases])], async ([source, theme]) => {
   const version = ++renderVersion
-  const result = await renderMarkdown(source, { theme, preferences: markdownPreferences.normalized, citationNumbers: props.citationNumbers, citationAliases: props.citationAliases })
+  const result = await renderMarkdown(source, { theme, themeId: themeStore.currentThemeId, preferences: markdownPreferences.normalized, citationNumbers: props.citationNumbers, citationAliases: props.citationAliases })
   if (version === renderVersion) html.value = result
 }, { immediate: true, flush: 'post' })
 </script>

frontend/src/components/common/PrimarySidebar.vue

@@ -20,6 +20,7 @@ const navItems = computed(() => [
   { name: 'plugins', icon: Connection, label: 'Plugin' },
   { name: 'mcp-servers', icon: Monitor, label: 'MCP' },
   { name: 'themes', icon: Brush, label: t('主题', 'Themes') },
+  { name: 'benchmarks', icon: Monitor, label: 'Benchmark' },
   { name: 'logs', icon: Document, label: t('日志', 'Logs') },
   { name: 'settings', icon: Setting, label: t('设置', 'Settings') },
 ])

frontend/src/features/benchmarks/BenchmarkView.spec.ts

@@ -0,0 +1,29 @@
+// @vitest-environment happy-dom
+import {mount,flushPromises} from '@vue/test-utils'
+import {afterEach,beforeEach,expect,it,vi} from 'vitest'
+import BenchmarkView from './BenchmarkView.vue'
+const service=vi.hoisted(()=>({datasets:vi.fn(),list:vi.fn(),start:vi.fn(),cancel:vi.fn(),report:vi.fn()}))
+vi.mock('@/services/benchmarkService',()=>({benchmarkService:service}))
+vi.mock('@/services/providerService',()=>({listProviders:vi.fn().mockResolvedValue([])}))
+beforeEach(()=>{service.datasets.mockResolvedValue([{id:'rag-demo',cases:2}]);service.list.mockResolvedValue([])})
+afterEach(()=>vi.clearAllMocks())
+it('shows a useful empty state and submits the selected retrieval configuration',async()=>{
+ const wrapper=mount(BenchmarkView,{global:{stubs:{RouterLink:true}}});await flushPromises()
+ expect(wrapper.text()).toContain('还没有评测记录')
+ await wrapper.get('#benchmark-fusion').setValue('weighted')
+ expect(wrapper.get('#benchmark-rrfk').attributes('disabled')).toBeDefined()
+ await wrapper.get('form').trigger('submit');await flushPromises()
+ expect(service.start).toHaveBeenCalledWith('rag',expect.objectContaining({dataset_id:'rag-demo',retrieval:expect.objectContaining({fusion:'weighted'})}))
+ wrapper.unmount()
+})
+it('renders report percentages, unavailable metrics and localized terminal states',async()=>{
+ service.list.mockResolvedValue([{id:'r',datasetId:'agent-demo',status:'completed',progress:1,errorCode:null}])
+ service.report.mockResolvedValue({metrics:{task_success_rate:.75,tool_argument_accuracy:null,token_usage:120},cases:[],config_snapshot:{}})
+ const wrapper=mount(BenchmarkView,{global:{stubs:{RouterLink:true}}});await flushPromises()
+ expect(wrapper.text()).toContain('已完成')
+ await wrapper.findAll('button').find(button=>button.text()==='查看报告')!.trigger('click');await flushPromises()
+ expect(wrapper.get('.benchmark-report').text()).toContain('75%')
+ expect(wrapper.get('.benchmark-report').text()).toContain('不适用')
+ expect(wrapper.get('.benchmark-report').text()).toContain('agent-demo')
+ wrapper.unmount()
+})

frontend/src/features/benchmarks/BenchmarkView.vue

@@ -0,0 +1,123 @@
+<script setup lang="ts">
+import { computed, ref, watch, onMounted, onBeforeUnmount } from 'vue'
+import { benchmarkService as service, type BenchmarkRun } from '@/services/benchmarkService'
+import { listProviders } from '@/services/providerService'
+const kind = ref<'rag' | 'agent'>('rag'), dataset = ref(''), error = ref(''), busy = ref(false)
+const datasets = ref<Awaited<ReturnType<typeof service.datasets>>>([]), runs = ref<BenchmarkRun[]>([])
+const providers = ref<Awaited<ReturnType<typeof listProviders>>>([]), provider = ref(''), model = ref('')
+const report = ref<Awaited<ReturnType<typeof service.report>> | null>(null)
+const reportName = ref(''), loading = ref(true)
+const statusLabels: Record<string,string> = { queued:'排队中', running:'运行中', completed:'已完成', failed:'失败', cancelled:'已取消' }
+const activeCount = computed(() => runs.value.filter(run => ['queued','running'].includes(run.status)).length)
+const ratioKeys = new Set(['task_success_rate','tool_selection_accuracy','tool_argument_accuracy','invalid_tool_call_rate','hit_at_1','hit_at_5','recall_at_k','citation_hit_rate','failure_rate'])
+const topK = ref(5), rrfK = ref(60), rerank = ref(false)
+const fusion = ref<'rrf' | 'weighted'>('rrf')
+const metricLabels: Record<string, string> = {
+  total_cases: '计划样本', evaluated_cases: '已评样本', successful_cases: '运行成功', failed_cases: '运行失败',
+  task_success_rate: '任务成功率', tool_selection_accuracy: '工具选择准确率', tool_argument_accuracy: '参数准确率',
+  invalid_tool_call_rate: '无效调用率', average_steps: '平均步骤', average_latency_ms: '平均耗时 (ms)',
+  token_usage: 'Token 用量', tool_calls: '实际工具调用', expected_calls: '预期工具调用',
+  hit_at_1: 'Hit@1', hit_at_5: 'Hit@5', recall_at_k: 'Recall@K', mrr: 'MRR', citation_hit_rate: '引用命中率',
+  p50_latency_ms: 'P50 (ms)', p95_latency_ms: 'P95 (ms)', failure_rate: '运行失败率',
+}
+const metricGroups = computed(() => {
+  const metrics = report.value?.metrics ?? {}
+  const groups = 'task_success_rate' in metrics ? { Agent: metrics } : metrics
+  return Object.entries(groups).filter(([, value]) => value && typeof value === 'object').map(([name, value]) => ({
+    name, rows: Object.entries(value as Record<string, unknown>).map(([key, number]) => ({
+      label: metricLabels[key] ?? key,
+      value: number === null ? '不适用' : typeof number === 'number' ? ratioKeys.has(key) ? `${Number((number*100).toFixed(2))}%` : Number(number.toFixed(key.includes('latency') ? 2 : 4)).toLocaleString() : String(number),
+    })),
+  }))
+})
+let timer: ReturnType<typeof setTimeout> | undefined, disposed = false
+async function loadDatasets() { try { datasets.value = await service.datasets(kind.value); dataset.value = datasets.value[0]?.id ?? '' } catch(e) { error.value = String(e) } }
+async function refresh() { try { runs.value = await service.list() } catch(e) { error.value = String(e) } finally { loading.value = false } if (!disposed) timer = setTimeout(refresh, 1500) }
+watch(kind, loadDatasets)
+watch(provider, id => { model.value = providers.value.find(p => p.provider_id === id)?.default_model ?? '' })
+async function start() {
+  error.value = ''; busy.value = true
+  try { await service.start(kind.value, kind.value === 'agent' ? { dataset_id: dataset.value, provider_id: provider.value, model: model.value, max_steps: 6, timeout_seconds: 90, token_budget: 6000 } : { dataset_id: dataset.value, modes: ['fts','vector','hybrid'], retrieval: { top_k: topK.value, fusion: fusion.value, rrf_k: rrfK.value, rerank: rerank.value } }) }
+  catch(e) { error.value = String(e) } finally { busy.value = false }
+}
+async function action(run: BenchmarkRun, cancel = false) { try { if (cancel) await service.cancel(run.id); else { report.value = await service.report(run.id); reportName.value = run.datasetId } } catch(e) { error.value = String(e) } }
+function download() { const url = URL.createObjectURL(new Blob([JSON.stringify(report.value,null,2)], { type:'application/json' })); const a=document.createElement('a'); a.href=url; a.download='benchmark-report.json'; a.click(); setTimeout(()=>URL.revokeObjectURL(url),1000) }
+onMounted(async () => { void refresh(); void loadDatasets(); try { providers.value=(await listProviders()).filter(p=>p.enabled); provider.value=providers.value[0]?.provider_id ?? '' } catch(e) { error.value=String(e) } })
+onBeforeUnmount(() => { disposed=true; clearTimeout(timer) })
+</script>
+<template>
+  <main class="feature-page benchmark-page">
+    <header class="feature-header">
+      <div><h1>Benchmark 评测</h1><p>比较检索质量与智能体表现，查看每次评测的结果和执行轨迹。</p></div>
+      <span class="badge" :class="{ info: activeCount > 0 }">{{ activeCount ? `${activeCount} 项正在运行` : 'RAG / Agent' }}</span>
+    </header>
+    <div class="benchmark-content">
+      <form class="panel benchmark-config" @submit.prevent="start">
+        <div class="section-heading"><div><h2>创建评测</h2><p class="subtle">选择数据集和运行配置，结果将保留在下方列表。</p></div></div>
+        <div class="form-grid">
+          <div class="field"><label for="benchmark-kind">类型</label><select id="benchmark-kind" v-model="kind" class="select"><option value="rag">RAG 检索</option><option value="agent">Agent 任务</option></select></div>
+          <div class="field dataset-field"><label for="benchmark-dataset">数据集</label><select id="benchmark-dataset" v-model="dataset" class="select"><option v-if="!datasets.length" value="">暂无可用数据集</option><option v-for="d in datasets" :key="d.id" :value="d.id">{{ d.id }} · {{ d.cases }} 案例</option></select></div>
+          <template v-if="kind === 'agent'">
+            <div class="field"><label for="benchmark-provider">提供商</label><select id="benchmark-provider" v-model="provider" class="select"><option v-if="!providers.length" value="">暂无可用提供商</option><option v-for="p in providers" :key="p.provider_id" :value="p.provider_id">{{ p.name }}</option></select></div>
+            <div class="field"><label for="benchmark-model">模型</label><input id="benchmark-model" v-model="model" class="input" placeholder="模型 ID"></div>
+          </template>
+          <template v-else>
+            <div class="field"><label for="benchmark-fusion">融合方式</label><select id="benchmark-fusion" v-model="fusion" class="select"><option value="rrf">RRF 排名融合</option><option value="weighted">加权 50/50</option></select></div>
+            <div class="field"><label for="benchmark-topk">Top K</label><input id="benchmark-topk" v-model.number="topK" class="input" type="number" min="1" max="100"></div>
+            <div class="field"><label for="benchmark-rrfk">RRF K</label><input id="benchmark-rrfk" v-model.number="rrfK" class="input" type="number" min="1" :disabled="fusion !== 'rrf'"></div>
+          </template>
+        </div>
+        <div class="config-footer">
+          <label v-if="kind === 'rag'" class="checkbox-label"><input v-model="rerank" type="checkbox">启用词面重排（Lexical Reranker）</label>
+          <p v-else class="subtle">将使用所选提供商额度；需要工具权限时，请在执行轨迹中处理。</p>
+          <button class="button-primary" :disabled="busy || !dataset || (kind === 'agent' && (!provider || !model))">{{ busy ? '正在创建…' : '运行评测' }}</button>
+        </div>
+      </form>
+      <p v-if="error" class="error-banner" role="alert">{{ error }}</p>
+      <section class="panel benchmark-history" aria-labelledby="benchmark-history-title" :aria-busy="loading">
+        <div class="section-heading"><h2 id="benchmark-history-title">运行记录</h2><span class="badge">{{ runs.length }} 项</span></div>
+        <div v-if="!runs.length" class="empty-state"><div><strong>{{ loading ? '正在加载记录…' : '还没有评测记录' }}</strong><p>选择上方的数据集并运行评测，完成后可查看指标、下载报告。</p></div></div>
+        <div v-else class="table-scroll"><table><thead><tr><th>数据集</th><th>状态</th><th>操作</th></tr></thead><tbody><tr v-for="run in runs" :key="run.id">
+          <td><strong>{{ run.datasetId }}</strong><small class="subtle run-id">{{ run.id }}</small></td>
+          <td><span class="badge" :class="{ success:run.status === 'completed', error:run.status === 'failed', info:['queued','running'].includes(run.status), warning:run.status === 'cancelled' }">{{ statusLabels[run.status] ?? run.status }}</span><span v-if="run.progress !== null" class="progress-label subtle">{{ Math.round(run.progress*100) }}%</span><small v-if="run.errorCode" class="run-error">{{ run.errorCode }}</small></td>
+          <td><div class="inline-actions"><button v-if="['queued','running'].includes(run.status)" class="button-secondary" @click="action(run,true)">取消</button><button v-else class="button-secondary" @click="action(run)">查看报告</button><RouterLink v-if="run.agentId" class="trace-link" :to="`/agent/runs/${run.agentId}`">执行轨迹</RouterLink></div></td>
+        </tr></tbody></table></div>
+      </section>
+      <section v-if="report" class="panel benchmark-report" aria-labelledby="benchmark-report-title">
+        <div class="section-heading"><div><h2 id="benchmark-report-title">评测报告</h2><p class="subtle">{{ reportName }}</p></div><button class="button-secondary" @click="download">下载完整 JSON</button></div>
+        <div v-for="group in metricGroups" :key="group.name" class="metric-group"><h3>{{ group.name }}</h3><dl class="metric-grid"><div v-for="row in group.rows" :key="row.label" class="metric-card"><dt>{{ row.label }}</dt><dd>{{ row.value }}</dd></div></dl></div>
+        <details class="ui-disclosure"><summary>冻结配置与逐例证据</summary><pre>{{ JSON.stringify(report,null,2) }}</pre></details>
+      </section>
+    </div>
+  </main>
+</template>
+<style scoped>
+.benchmark-page { width:100%; min-width:0; color:var(--color-text-primary); }
+.benchmark-content { max-width:1180px; margin:0 auto; display:grid; gap:var(--space-xl); }
+.benchmark-content > .panel { width:100%; min-width:0; margin:0; padding:var(--space-xl); }
+.section-heading { display:flex; align-items:center; justify-content:space-between; gap:var(--space-md); margin-bottom:var(--space-lg); }
+h2 { margin:0; font-size:var(--font-size-lg); font-weight:650; } h3 { margin:0 0 var(--space-md); font-size:var(--font-size-md); }
+.section-heading p { margin:var(--space-xs) 0 0; } .form-grid { grid-template-columns:repeat(auto-fit,minmax(150px,1fr)); }
+.dataset-field { grid-column:span 2; } .field { min-width:0; }
+.config-footer { display:flex; align-items:center; justify-content:space-between; gap:var(--space-lg); margin-top:var(--space-xl); padding-top:var(--space-lg); border-top:1px solid var(--color-border-default); }
+.config-footer p { margin:0; } .config-footer .button-primary { margin-left:auto; flex-shrink:0; }
+.checkbox-label { display:flex; align-items:center; gap:var(--space-sm); color:var(--color-text-secondary); font-size:var(--font-size-sm); }
+.empty-state { min-height:170px; } .empty-state p { margin:0; line-height:1.7; }
+.table-scroll { overflow-x:auto; } table { width:100%; min-width:580px; border-collapse:collapse; font-size:var(--font-size-sm); }
+th { text-align:left; color:var(--color-text-secondary); background:var(--color-background-secondary); font-weight:600; }
+td,th { padding:var(--space-md); border-bottom:1px solid var(--color-border-default); } tbody tr:last-child td { border-bottom:0; }
+.run-id,.run-error { display:block; margin-top:var(--space-xs); overflow-wrap:anywhere; } .run-error { color:var(--color-error); }
+.progress-label { margin-left:var(--space-sm); } .trace-link { color:var(--color-accent-primary); text-decoration:none; font-weight:600; } .trace-link:hover { text-decoration:underline; }
+.metric-group + .metric-group { margin-top:var(--space-xl); }
+.metric-grid { display:grid; grid-template-columns:repeat(auto-fit,minmax(150px,1fr)); gap:var(--space-md); margin:0 0 var(--space-xl); }
+.metric-card { padding:var(--space-lg); border:1px solid var(--color-border-default); border-radius:var(--radius-md); background:var(--color-background-secondary); }
+dt { font-size:var(--font-size-sm); color:var(--color-text-secondary); } dd { margin:var(--space-sm) 0 0; font-size:var(--font-size-2xl); font-weight:650; font-variant-numeric:tabular-nums; }
+pre { padding:var(--space-md); border-radius:var(--radius-md); background:var(--color-background-secondary); color:var(--color-text-primary); white-space:pre-wrap; overflow-wrap:anywhere; font-family:var(--font-editor-mono); font-size:var(--font-size-sm); }
+.error-banner { margin:0; }
+@media(max-width:640px) {
+  .benchmark-content > .panel { padding:var(--space-lg); }
+  .form-grid { grid-template-columns:minmax(0,1fr); } .dataset-field { grid-column:auto; }
+  .section-heading,.config-footer { align-items:flex-start; flex-wrap:wrap; } .config-footer .button-primary { width:100%; }
+  .metric-grid { grid-template-columns:repeat(2,minmax(0,1fr)); } dd { font-size:var(--font-size-xl); }
+}
+</style>

frontend/src/features/editor/EditorHeader.vue

@@ -1,6 +1,7 @@
 <script setup lang="ts">
 import { useEditorStore } from '@/stores/editor'
 import { useWorkspaceStore } from '@/stores/workspace'
+import ExportDialog from './ExportDialog.vue'
 import { computed, ref } from 'vue'
 import ActionDialog from '@/components/common/ActionDialog.vue'
 import { useActionDialog } from '@/composables/useActionDialog'
@@ -10,6 +11,7 @@ const editorStore = useEditorStore()
 const workspaceStore = useWorkspaceStore()
 const { actionDialog, resolveAction, askConfirm } = useActionDialog()
 const reloadError = ref('')
+const exportOpen = ref(false)
 const needsRecovery = computed(() => ['conflict', 'external_changed'].includes(editorStore.saveStatus))
 const missingFile = computed(() => needsRecovery.value && editorStore.currentFilePath === workspaceStore.activeFilePath && !workspaceStore.activeFile && !workspaceStore.treeRefreshError)
 function downloadCopy() {
@@ -43,9 +45,11 @@ const statusText = computed<Record<string, string>>(() => ({
 
 <template>
   <header class="editor-header">
+    <ExportDialog v-if="exportOpen" @close="exportOpen = false" />
     <ActionDialog v-if="actionDialog" v-bind="actionDialog" @resolve="resolveAction" />
     <div class="file-identity"><strong>{{ workspaceStore.activeFile?.name ?? t('未命名笔记', 'Untitled note') }}</strong><small>{{ workspaceStore.activeFilePath }}</small></div>
     <div class="editor-actions">
+      <button class="button-secondary" @click="exportOpen = true">{{ t('导出', 'Export') }}</button>
       <span class="save-status" :class="editorStore.saveStatus">{{ statusText[editorStore.saveStatus] }}</span>
       <button v-if="needsRecovery && !missingFile" class="button-secondary" @click="reload">{{ t('重新加载外部版本', 'Reload external version') }}</button>
       <span v-if="missingFile" class="save-status conflict">{{ t('原文件已删除或移动', 'Original file deleted or moved') }}</span>

frontend/src/features/editor/ExportDialog.spec.ts

@@ -0,0 +1,22 @@
+// @vitest-environment jsdom
+import {mount,flushPromises} from '@vue/test-utils'
+import {it,expect,vi} from 'vitest'
+import ExportDialog from './ExportDialog.vue'
+import {apiClient} from '@/services/apiClient'
+vi.mock('@/stores/editor',()=>({useEditorStore:()=>({content:'# snapshot',currentFilePath:'note.md'})}))
+vi.mock('@/stores/theme',()=>({useThemeStore:()=>({currentThemeId:'light'})}))
+vi.mock('@/services/mermaidService',()=>({renderMermaid:vi.fn()}))
+vi.mock('@/services/apiClient',()=>({apiClient:{post:vi.fn(),get:vi.fn()}}))
+it('closing the dialog after submitting preserves the background export',async()=>{
+ let finish!:(value:unknown)=>void
+ vi.mocked(apiClient.get).mockImplementation(async(path:string)=>path==='/api/exports'?{items:[]}:{job_id:'closing-job',status:'cancelled',warnings:[],error:null,file:null})
+ vi.mocked(apiClient.post).mockImplementationOnce(()=>new Promise(resolve=>{finish=resolve}) as never).mockResolvedValue({status:'completed'})
+ const wrapper=mount(ExportDialog,{global:{stubs:{AppDialog:{template:'<div><slot /></div>'}}}})
+ await flushPromises()
+ await wrapper.findAll('button').find(b=>b.text()==='开始导出')!.trigger('click')
+ expect(apiClient.post).toHaveBeenCalledWith('/api/exports',expect.anything())
+ wrapper.unmount()
+ finish({job_id:'closing-job',status:'queued',warnings:[],error:null,file:null})
+ await flushPromises()
+ expect(apiClient.post).not.toHaveBeenCalledWith('/api/exports/closing-job/cancel')
+})

frontend/src/features/editor/ExportDialog.vue

@@ -0,0 +1,57 @@
+<script setup lang="ts">
+import { ref, onMounted, onBeforeUnmount } from 'vue'
+import AppDialog from '@/components/common/AppDialog.vue'
+import { useEditorStore } from '@/stores/editor'
+import { useThemeStore } from '@/stores/theme'
+import { exportService, captureExportPalette, type ExportFormat, type ExportJob } from '@/services/exportService'
+const emit = defineEmits<{ close: [] }>()
+const editor = useEditorStore(), theme = useThemeStore()
+const format = ref<ExportFormat>('html'), page = ref('A4'), title = ref(true)
+const jobs = ref<ExportJob[]>([]), error = ref(''), preparing = ref(false)
+let timer: ReturnType<typeof setTimeout> | undefined, disposed = false
+let controller: AbortController | undefined
+const labels = { queued: '排队中', running: '渲染中', completed: '已完成', failed: '失败', cancelled: '已取消' }
+async function refresh() {
+  try { const value = await exportService.list(); if (!disposed) jobs.value = value } catch (e) { error.value = String(e) }
+  if (!disposed) timer = setTimeout(refresh, 1500)
+}
+async function start() {
+  preparing.value = true; error.value = ''; controller = new AbortController()
+  const snapshot = editor.content, name = editor.currentFilePath?.split('/').pop()?.replace(/\.md$/i, '') ?? '笔记'
+  try {
+    const job = await exportService.create(snapshot, name, format.value, { theme_id: theme.currentThemeId, include_title: title.value, page_size: page.value, palette: captureExportPalette() }, controller.signal, editor.currentFilePath ?? undefined)
+    if (!disposed) jobs.value.unshift(job)
+  } catch (e) { error.value = e instanceof DOMException && e.name === 'AbortError' ? '已取消导出' : String(e) }
+  finally { preparing.value = false }
+}
+async function action(job: ExportJob, download = false) {
+  try { if (download) await exportService.download(job); else await exportService.cancel(job.id) } catch (e) { error.value = String(e) }
+}
+onMounted(refresh)
+onBeforeUnmount(() => { disposed = true; clearTimeout(timer) })
+</script>
+<template>
+  <AppDialog label="导出笔记" @close="emit('close')"><section class="modal export-modal">
+    <h2>导出笔记</h2><p>导出点击时的编辑器快照，包含未保存修改。关闭窗口后后台任务继续运行。</p>
+    <label for="export-format">格式</label><select id="export-format" v-model="format"><option value="html">HTML</option><option value="pdf">PDF</option><option value="docx">DOCX</option></select>
+    <label>纸张 <select v-model="page"><option>A4</option><option>Letter</option></select></label>
+    <label><input v-model="title" type="checkbox">包含标题</label>
+    <p v-if="format === 'docx'">DOCX 使用浅色打印样式。</p>
+    <p v-if="format === 'pdf'">PDF 使用当前笔记主题与排版样式。</p>
+    <button class="button-primary" :disabled="preparing || !editor.content.trim()" @click="start">{{ preparing ? '准备图表…' : '开始导出' }}</button>
+    <button v-if="preparing" @click="controller?.abort()">取消准备</button>
+    <p v-if="error" role="alert">{{ error }}</p>
+    <ul><li v-for="job in jobs" :key="job.id">
+      <strong>{{ job.fileName ?? job.id }}</strong> · {{ labels[job.status] }}
+      <button v-if="job.status === 'completed'" @click="action(job, true)">下载</button>
+      <button v-if="['queued','running'].includes(job.status)" @click="action(job)">取消</button>
+      <p v-if="job.error" role="alert">{{ job.error }}</p>
+      <ul v-if="job.warnings.length" class="export-warnings" aria-label="导出警告"><li v-for="warning in job.warnings" :key="warning">{{ warning }}</li></ul>
+    </li></ul>
+    <button class="button-secondary" @click="emit('close')">关闭</button>
+  </section></AppDialog>
+</template>
+<style scoped>
+.export-modal { width: min(640px, 100%); padding: 24px; background: var(--color-surface-primary); border: 1px solid var(--color-border-default); border-radius: 12px; }
+label { display: inline-flex; align-items:center; gap: 8px; margin: 8px; } li { margin-block: 12px; overflow-wrap: anywhere; } button { margin: 6px; } .export-warnings { color: var(--color-warning); } [role=alert] { color:var(--color-error); }
+</style>

frontend/src/features/editor/VisualMarkdownEditor.vue

@@ -156,20 +156,20 @@ function foldHeadings(action: 'toggle' | 'all' | 'none') {
     }
   })
 }
-const diagramPreviews = new Map<string, { source: string; apply: (value: HTMLElement) => void }>()
+const diagramPreviews = new Map<string, { source: string; kind: string; apply: (value: HTMLElement) => void }>()
-function renderDiagram(source: string, apply: (value: HTMLElement) => void) {
+function renderDiagram(source: string, apply: (value: HTMLElement) => void, kind = 'mermaid') {
   for (const [id, entry] of diagramPreviews) {
     if (entry.apply === apply) diagramPreviews.delete(id)
   }
-  const element = createMermaidPreview(source, themeStore.isDark, apply)
+  const element = createMermaidPreview(source, themeStore.isDark, apply, kind, themeStore.currentThemeId)
-  diagramPreviews.set(element.dataset.previewId!, { source, apply })
+  diagramPreviews.set(element.dataset.previewId!, { source, apply, kind })
   return element
 }
 watch(() => themeStore.currentThemeId, () => {
   const current = [...diagramPreviews.entries()]
   diagramPreviews.clear()
   for (const [id, entry] of current) {
-    if (editorRoot.value?.querySelector(`[id="${id}"]`)) entry.apply(renderDiagram(entry.source, entry.apply))
+    if (editorRoot.value?.querySelector(`[id="${id}"]`)) entry.apply(renderDiagram(entry.source, entry.apply, entry.kind))
   }
 }, { flush: 'post' })
 
@@ -333,8 +333,8 @@ onMounted(async () => {
     ...config,
     languages: shikiLanguages(themeStore.resolvedCodeBlockTheme),
     renderLanguage: renderCodeLanguage,
-    renderPreview: (language, content, applyPreview) => language.trim().toLowerCase() === 'mermaid'
+    renderPreview: (language, content, applyPreview) => ['mermaid', 'function-plot'].includes(language.trim().toLowerCase())
-      ? markdownPreferences.diagrams ? renderDiagram(content, applyPreview) : null
+      ? markdownPreferences.diagrams ? renderDiagram(content, applyPreview, language.trim().toLowerCase()) : null
       : config.renderPreview(language, content, applyPreview),
     extensions: [basicSetup, keymap.of([indentWithTab]), shikiEditorTheme(themeStore.resolvedCodeBlockTheme),
       indentUnit.of(' '.repeat(markdownPreferences.indent)), CodeEditorState.tabSize.of(markdownPreferences.indent),

frontend/src/features/editor/mermaidPreview.ts

@@ -1,17 +1,18 @@
+import { renderFunctionPlot } from '@/services/functionPlotService'
 import { nextTick } from 'vue'
 import { renderMermaid } from '@/services/mermaidService'
 import { t } from '@/i18n'
 import { appendDiagramControls } from '@/utils/diagramControls'
 
 let previewId = 0
-export function createMermaidPreview(source: string, dark: boolean, applyPreview: (value: HTMLElement) => void): HTMLElement {
+export function createMermaidPreview(source: string, dark: boolean, applyPreview: (value: HTMLElement) => void, kind = 'mermaid', themeId = 'light'): HTMLElement {
   // Each revision owns its element, so a slow render cannot replace newer content.
   // Milkdown sanitizes Element input to its inner HTML; retain the revision
   // marker and controls inside an otherwise disposable envelope.
   const envelope = document.createElement('div')
   const container = document.createElement('div')
   envelope.append(container)
-  container.className = 'editor-mermaid-preview'
+  container.className = 'editor-mermaid-preview' + (kind === 'function-plot' ? ' function-plot-preview' : '')
   container.id = `editor-mermaid-preview-${++previewId}`
   envelope.dataset.previewId = container.id
   container.setAttribute('aria-live', 'polite')
@@ -27,8 +28,11 @@ export function createMermaidPreview(source: string, dark: boolean, applyPreview
       applyPreview(envelope.cloneNode(true) as HTMLElement)
     }
   }
-  void renderMermaid(source, { theme: dark ? 'dark' : 'light' }).then(result => {
+  void (kind === 'function-plot' ? new Promise<void>(resolve => setTimeout(resolve, 180)) : Promise.resolve()).then<{ svg: string; warnings: string[] }>(() => {
-    if (result.warnings.length) {
+    if (kind === 'function-plot' && !document.getElementById(container.id)) throw new Error('stale preview')
+    return kind === 'function-plot' ? renderFunctionPlot(source, themeId) : renderMermaid(source, { theme: dark ? 'dark' : 'light' })
+  }).then(result => {
+    if (result.warnings.length && (kind === 'mermaid' || !result.svg)) {
       container.classList.add('has-error')
       container.textContent = `${t('图表语法有误，可点击编辑修改：', 'Diagram syntax error. Choose Edit to fix:')} ${result.warnings.join('\n')}`
       void publish()
@@ -37,6 +41,7 @@ export function createMermaidPreview(source: string, dark: boolean, applyPreview
     // Mermaid runs in strict mode; Milkdown sanitizes the preview before insertion.
     container.innerHTML = result.svg
     appendDiagramControls(container)
+    if (result.warnings.length) { const warning = document.createElement('p'); warning.textContent = result.warnings.join('\n'); warning.setAttribute('role', 'status'); container.append(warning) }
     void publish()
   }).catch(() => {
     container.textContent = t('图表渲染失败，请点击编辑检查源码。', 'Unable to render diagram. Choose Edit to inspect the source.')

frontend/src/features/editor/shikiCodeMirror.spec.ts

@@ -69,7 +69,7 @@ it('offers fenced-code aliases and retains the LaTeX selector', () => {
 
 it('offers every bundled Shiki language and alias', () => {
   const languages = shikiLanguages('github-light')
-  expect(languages).toHaveLength(bundledLanguagesInfo.length + 1)
+  expect(languages).toHaveLength(bundledLanguagesInfo.length + 2)
   for (const info of bundledLanguagesInfo) {
     const language = languages.find(item => item.alias.includes(info.id))!
     expect(language, info.id).toBeDefined()

frontend/src/features/editor/shikiCodeMirror.ts

@@ -60,6 +60,7 @@ export async function shikiLanguage(language: string, theme: CodeTheme): Promise
 
 export function shikiLanguages(theme: CodeTheme): LanguageDescription[] {
   return [
+    LanguageDescription.of({ name: 'function-plot', alias: ['Function Plot'], load: () => shikiLanguage('text', theme) }),
     ...bundledLanguagesInfo.map(info => LanguageDescription.of({
       name: info.id,
       alias: [info.name, ...(info.aliases ?? [])],

frontend/src/router/index.ts

@@ -3,6 +3,7 @@ import { useWorkspaceStore } from '@/stores/workspace'
 import { t } from '@/i18n'
 
 const routes = [
+  { path: '/benchmarks', name: 'benchmarks', component: () => import('@/features/benchmarks/BenchmarkView.vue'), meta: { title: 'Benchmark' } },
   { path: '/logs', name: 'logs', component: () => import('@/features/logs/LogsView.vue'), meta: { title: '运行日志' } },
   { path: '/media', name: 'media', component: () => import('@/features/media/MediaView.vue'), meta: { title: '音视频转写', requiresVault: true } },
   {
@@ -80,7 +81,9 @@ const router = createRouter({
 
 router.beforeEach((to) => {
   const workspaceStore = useWorkspaceStore()
-  if (to.meta.requiresVault && !workspaceStore.hasVault) {
+  // Benchmark 不依赖工作区界面；报告中的持久化 Trace 和待决权限入口必须仍可访问。
+  const existingAgentRun = to.name === 'agent' && Boolean(to.params.runId)
+  if (to.meta.requiresVault && !workspaceStore.hasVault && !existingAgentRun) {
     return { path: '/' }
   }
   if (to.path === '/' && workspaceStore.hasVault) {

frontend/src/services/benchmarkService.ts

@@ -0,0 +1,15 @@
+import { apiClient } from './apiClient'
+interface RunWire { run_id: string; kind: 'rag' | 'agent'; dataset_id: string; status: string; progress: number | null; config_snapshot: Record<string, unknown>; error_code: string | null }
+export interface BenchmarkRun { id: string; kind: 'rag' | 'agent'; datasetId: string; status: string; progress: number | null; agentId?: string; errorCode: string | null }
+const map = (r: RunWire): BenchmarkRun => ({ id: r.run_id, kind: r.kind, datasetId: r.dataset_id, status: r.status, progress: r.progress, agentId: r.config_snapshot.active_agent_run_id as string | undefined, errorCode: r.error_code })
+// 保留运行配置中的 Agent Run ID，使报告页可直接进入对应 Trace 和权限处理入口。
+export const benchmarkService = {
+  async datasets(kind: 'rag' | 'agent') {
+    const r = await apiClient.get<{ items: { dataset_id: string; description: string; case_count: number }[] }>('/api/benchmarks/datasets', { params: { kind } })
+    return r.items.map(d => ({ id: d.dataset_id, description: d.description, cases: d.case_count }))
+  },
+  async list() { return (await apiClient.get<{ items: RunWire[] }>('/api/benchmarks/runs')).items.map(map) },
+  async start(kind: 'rag' | 'agent', body: object) { return map(await apiClient.post<RunWire>(`/api/benchmarks/${kind}/runs`, body)) },
+  cancel(id: string) { return apiClient.post(`/api/benchmarks/runs/${encodeURIComponent(id)}/cancel`) },
+  report(id: string) { return apiClient.get<{ metrics: Record<string, unknown>; cases: unknown[]; config_snapshot: Record<string, unknown> }>(`/api/benchmarks/runs/${encodeURIComponent(id)}/report`) },
+}

frontend/src/services/exportService.spec.ts

@@ -0,0 +1,81 @@
+// @vitest-environment jsdom
+import {webcrypto} from 'node:crypto'
+import {describe,it,expect,vi,afterEach} from 'vitest'
+vi.mock('./apiClient',()=>({apiClient:{post:vi.fn(),get:vi.fn()}}))
+vi.mock('./mermaidService',()=>({renderMermaid:vi.fn()}))
+vi.mock('./pdfSnapshotService',()=>({preparePdfSnapshot:vi.fn().mockResolvedValue('<html>theme snapshot</html>')}))
+import {preparePdfSnapshot} from './pdfSnapshotService'
+import {renderMermaid} from './mermaidService'
+import {apiClient} from './apiClient'
+import {exportService,captureExportPalette} from './exportService'
+describe('export snapshot contract',()=>{
+  it('submits the unsaved Markdown snapshot and maps warnings and filename',async()=>{
+    vi.mocked(apiClient.post).mockResolvedValue({job_id:'job',status:'queued',warnings:['print palette'],file:{file_name:'note.pdf'},error:null})
+    const job=await exportService.create('# unsaved', 'note','pdf',{theme_id:'dark',include_title:true,page_size:'A4'},undefined,'folder/note.md')
+    expect(apiClient.post).toHaveBeenCalledWith('/api/exports',expect.objectContaining({source:{type:'markdown',markdown:'# unsaved',file_path:'folder/note.md'},format:'pdf'}))
+    expect(job.warnings).toEqual(['print palette']);expect(job.fileName).toBe('note.pdf')
+  })
+  it('aborted preparation does not create a backend job',async()=>{
+    vi.mocked(apiClient.post).mockClear()
+    const abort=new AbortController();abort.abort()
+    await expect(exportService.create('snapshot','note','html',{theme_id:'light',include_title:true,page_size:'A4'},abort.signal)).rejects.toThrow()
+    expect(apiClient.post).not.toHaveBeenCalled()
+  })
+})
+
+const reviewOptions={theme_id:'light',include_title:true,page_size:'A4'}
+const queued={job_id:'review-job',status:'queued',warnings:[],file:null,error:null}
+afterEach(()=>{vi.restoreAllMocks();vi.unstubAllGlobals();vi.clearAllMocks()})
+it('cancels a created server job after an in-flight submission is aborted',async()=>{
+  let finish!:(value:unknown)=>void
+  vi.mocked(apiClient.post).mockImplementationOnce(()=>new Promise(resolve=>{finish=resolve}) as never).mockResolvedValue({status:'completed'})
+  vi.mocked(apiClient.get).mockResolvedValue({...queued,status:'cancelled'})
+  const controller=new AbortController()
+  const pending=exportService.create('# snapshot','review','html',reviewOptions,controller.signal)
+  controller.abort();finish(queued)
+  await expect(pending).rejects.toMatchObject({name:'AbortError'})
+  expect(apiClient.post).toHaveBeenLastCalledWith('/api/exports/review-job/cancel')
+})
+it('does not report cancellation when the server job already completed',async()=>{
+  let finish!:(value:unknown)=>void
+  vi.mocked(apiClient.post).mockImplementationOnce(()=>new Promise(resolve=>{finish=resolve}) as never).mockResolvedValue({status:'completed'})
+  vi.mocked(apiClient.get).mockResolvedValue({...queued,status:'completed'})
+  const controller=new AbortController()
+  const pending=exportService.create('# snapshot','review','html',reviewOptions,controller.signal)
+  controller.abort();finish(queued)
+  await expect(pending).rejects.toThrow('导出已完成，无法取消')
+})
+it('surfaces a server cancellation failure instead of claiming it was cancelled',async()=>{
+  let finish!:(value:unknown)=>void
+  vi.mocked(apiClient.post).mockImplementationOnce(()=>new Promise(resolve=>{finish=resolve}) as never).mockRejectedValue(new Error('network failure'))
+  const controller=new AbortController()
+  const pending=exportService.create('# snapshot','review','html',reviewOptions,controller.signal)
+  controller.abort();finish(queued)
+  await expect(pending).rejects.toThrow('network failure')
+})
+it.each(['mermaid','Mermaid','mermaid title="Flow"'])('prepares a static asset for %s',async language=>{
+  vi.stubGlobal('crypto',webcrypto)
+  vi.stubGlobal('Image',class {src='';decode(){return Promise.resolve()}})
+  vi.spyOn(HTMLCanvasElement.prototype,'getContext').mockReturnValue({fillStyle:'',fillRect:vi.fn(),drawImage:vi.fn()} as never)
+  vi.spyOn(HTMLCanvasElement.prototype,'toDataURL').mockReturnValue('data:image/png;base64,YWJj')
+  vi.mocked(renderMermaid).mockResolvedValue({svg:'<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 20 10"></svg>',warnings:[]} as never)
+  vi.mocked(apiClient.post).mockResolvedValue(queued)
+  await exportService.create('```'+language+'\nflowchart LR\n A-->B\n```','review','html',reviewOptions)
+  expect(renderMermaid).toHaveBeenCalledWith('flowchart LR\n A-->B',{mode:'raster',theme:'light'})
+  expect(apiClient.post).toHaveBeenCalledWith('/api/exports',expect.objectContaining({assets:[expect.objectContaining({kind:'mermaid',png_base64:'YWJj',source_hash:expect.stringMatching(/^[a-f0-9]{64}$/)})]}))
+})
+
+it('PDF submits the shared browser snapshot instead of raster assets',async()=>{
+  vi.mocked(apiClient.post).mockResolvedValue(queued)
+  const markdown=Array.from({length:17},(_,i)=>'```mermaid\nflowchart LR\n A'+i+'-->B\n```').join('\n\n')
+  await exportService.create(markdown,'many','pdf',{...reviewOptions,theme_id:'dark'})
+  expect(preparePdfSnapshot).toHaveBeenCalledWith(markdown,'many',expect.objectContaining({theme_id:'dark'}),undefined,undefined)
+  expect(renderMermaid).not.toHaveBeenCalled()
+  expect(apiClient.post).toHaveBeenCalledWith('/api/exports',expect.objectContaining({assets:[],print_html:'<html>theme snapshot</html>'}))
+})
+it('captures custom theme CSS as a portable palette',()=>{
+  const values={'background-primary':'#010409','surface-primary':'rgb(22, 27, 34)','text-primary':'#e6edf3','text-secondary':'#b1bac4','background-secondary':'#21262d','border-default':'#57606a','accent-primary':'#79c0ff'}
+  for(const [key,value] of Object.entries(values))document.documentElement.style.setProperty('--color-'+key,value)
+  try { expect(captureExportPalette()).toMatchObject({surface:'#161b22',text:'#e6edf3',accent:'#79c0ff'}) }
+  finally { for(const key of Object.keys(values))document.documentElement.style.removeProperty('--color-'+key) }
+})

frontend/src/services/exportService.ts

@@ -0,0 +1,110 @@
+import { apiClient } from './apiClient'
+import { Marked } from 'marked'
+import { renderMermaid } from './mermaidService'
+
+export type ExportFormat = 'html' | 'pdf' | 'docx'
+interface JobWire {
+  job_id: string; status: 'queued' | 'running' | 'completed' | 'failed' | 'cancelled'
+  warnings: string[]; error: string | null
+  file: { file_name: string; size: number } | null
+}
+export interface ExportJob { id: string; status: JobWire['status']; warnings: string[]; error: string | null; fileName?: string }
+const mapJob = (w: JobWire): ExportJob => ({ id: w.job_id, status: w.status, warnings: w.warnings, error: w.error, fileName: w.file?.file_name })
+export type ExportPalette = Record<'page' | 'surface' | 'text' | 'muted' | 'code' | 'border' | 'accent', string>
+// 冻结导出开始时的主题颜色，避免后台兼容渲染受到后续主题切换影响。
+export function captureExportPalette(): ExportPalette | undefined {
+  const style = getComputedStyle(document.documentElement)
+  const tokens = { page:'background-primary', surface:'surface-primary', text:'text-primary', muted:'text-secondary', code:'background-secondary', border:'border-default', accent:'accent-primary' }
+  const entries = Object.entries(tokens).map(([key, token]) => {
+    const value = style.getPropertyValue(`--color-${token}`).trim()
+    if (/^#[0-9a-f]{6}$/i.test(value)) return [key,value]
+    if (/^#[0-9a-f]{3}$/i.test(value)) return [key, '#' + [...value.slice(1)].map(c => c+c).join('')]
+    const rgb = value.match(/^rgb\(\s*(\d+)[, ]+\s*(\d+)[, ]+\s*(\d+)\s*\)$/)
+    if (rgb) return [key, '#' + rgb.slice(1,4).map(v => Number(v).toString(16).padStart(2,'0')).join('')]
+    // 借助浏览器解析命名色、color-mix、OKLCH 和透明色，再冻结为可移植 RGB 色板。
+    if (typeof CSS !== 'undefined' && CSS.supports('color', value)) {
+      const canvas = document.createElement('canvas'); canvas.width = canvas.height = 1
+      const context = canvas.getContext('2d')
+      if (context) {
+        context.fillStyle = '#ffffff'; context.fillRect(0,0,1,1)
+        context.fillStyle = value; context.fillRect(0,0,1,1)
+        const pixel = context.getImageData(0,0,1,1).data
+        return [key, '#' + [...pixel.slice(0,3)].map(v => v.toString(16).padStart(2,'0')).join('')]
+      }
+    }
+    return [key, '']
+  })
+  return entries.every(([,value]) => value) ? Object.fromEntries(entries) as ExportPalette : undefined
+}
+export async function rasterize(svg: string, signal?: AbortSignal, unlimited = false, background = '#ffffff'): Promise<string> {
+  // 非 PDF 格式保留像素预算和解码超时；PDF 的自包含快照解除资源配额。
+  const doc = new DOMParser().parseFromString(svg, 'image/svg+xml')
+  const root = doc.documentElement
+  const box = root.getAttribute('viewBox')?.split(/[ ,]+/).map(Number)
+  const width = box?.[2] || 800, height = box?.[3] || 600
+  if (!Number.isFinite(width + height) || width <= 0 || height <= 0) throw new Error('图表尺寸无效')
+  const scale = Math.min(4, Math.max(2, 1200 / width), unlimited ? Infinity : Math.sqrt(4_000_000 / (width * height)))
+  root.setAttribute('width', String(Math.floor(width * scale))); root.setAttribute('height', String(Math.floor(height * scale)))
+  root.style.maxWidth = 'none'
+  const data = new XMLSerializer().serializeToString(root)
+  const image = new Image()
+  image.src = `data:image/svg+xml;charset=utf-8,${encodeURIComponent(data)}`
+  await new Promise<void>((resolve, reject) => {
+    const abort = () => reject(new DOMException('Aborted', 'AbortError'))
+    const timer = unlimited ? undefined : setTimeout(() => reject(new Error('图表图片解码超时')), 15000)
+    const cleanup = () => { clearTimeout(timer); signal?.removeEventListener('abort', abort) }
+    if (signal?.aborted) { cleanup(); abort(); return }
+    signal?.addEventListener('abort', abort, { once: true })
+    image.decode().then(resolve, reject).finally(cleanup)
+  })
+  const canvas = document.createElement('canvas')
+  canvas.width = Math.floor(width * scale); canvas.height = Math.floor(height * scale)
+  const context = canvas.getContext('2d')!
+  context.fillStyle = background; context.fillRect(0, 0, canvas.width, canvas.height)
+  context.drawImage(image, 0, 0, canvas.width, canvas.height)
+  return canvas.toDataURL('image/png').split(',')[1]!
+}
+export async function hashSource(source: string) {
+  return [...new Uint8Array(await crypto.subtle.digest('SHA-256', new TextEncoder().encode(source.trim())))].map(v => v.toString(16).padStart(2, '0')).join('')
+}
+export const exportService = {
+  async create(markdown: string, title: string, format: ExportFormat, options: { theme_id: string; include_title: boolean; page_size: string; palette?: ExportPalette }, signal?: AbortSignal, filePath?: string) {
+    let printHtml: string | undefined
+    if (format === 'pdf') {
+      const { preparePdfSnapshot } = await import('./pdfSnapshotService')
+      printHtml = await preparePdfSnapshot(markdown,title,options,signal,filePath)
+    }
+    const blocks: string[] = []
+    const parser = new Marked()
+    if (format !== 'pdf') parser.walkTokens(parser.lexer(markdown), token => { if (token.type === 'code' && token.lang?.trim().split(/\s+/)[0]?.toLowerCase() === 'mermaid') blocks.push(token.text) })
+    const assets = []
+    for (const source of [...new Set(blocks)]) {
+      signal?.throwIfAborted()
+      if (format !== 'pdf' && assets.length >= 16) throw new Error('每次导出最多 16 个 Mermaid 图表')
+      const pdf = format === 'pdf'
+      const result = await renderMermaid(source, pdf ? { mode: 'raster', theme: ['dark','midnight-purple'].includes(options.theme_id) ? 'dark' : 'light', palette: options.palette, unlimited: true } : { mode: 'raster', theme: 'light' })
+      if (result.warnings.length) throw new Error(`Mermaid 无法导出：${result.warnings.join('; ')}`)
+      assets.push({ kind: 'mermaid', source_hash: await hashSource(source), png_base64: await rasterize(result.svg, signal, pdf, pdf ? options.palette?.surface ?? (['dark','midnight-purple'].includes(options.theme_id) ? '#161b22' : '#ffffff') : '#ffffff') })
+    }
+    signal?.throwIfAborted()
+    // 提交期间收到取消时仍等待服务器返回任务句柄；只中断 HTTP 会遗留无法追踪的后台任务。
+    const job = mapJob(await apiClient.post<JobWire>('/api/exports', { source: { type: 'markdown', markdown, file_path: filePath }, title, format, options, assets, ...(printHtml ? { print_html:printHtml } : {}) }))
+    if (signal?.aborted) {
+      await apiClient.post(`/api/exports/${encodeURIComponent(job.id)}/cancel`)
+      const current = await apiClient.get<JobWire>(`/api/exports/${encodeURIComponent(job.id)}`)
+      if (current.status === 'completed') throw new Error('导出已完成，无法取消；请在任务列表中下载。')
+      if (current.status === 'failed') throw new Error(current.error || '导出任务已失败，请查看任务列表。')
+      signal.throwIfAborted()
+    }
+    return job
+  },
+  async get(id: string) { return mapJob(await apiClient.get<JobWire>(`/api/exports/${encodeURIComponent(id)}`)) },
+  async list() { const response = await apiClient.get<{ items: JobWire[] }>('/api/exports'); return response.items.map(mapJob) },
+  cancel(id: string) { return apiClient.post(`/api/exports/${encodeURIComponent(id)}/cancel`) },
+  async download(job: ExportJob) {
+    const response = await apiClient.get<Response>(`/api/exports/${encodeURIComponent(job.id)}/file`)
+    const url = URL.createObjectURL(await response.blob())
+    const link = document.createElement('a'); link.href = url; link.download = job.fileName ?? 'export'
+    link.click(); setTimeout(() => URL.revokeObjectURL(url), 1000)
+  },
+}

frontend/src/services/functionPlotService.spec.ts

@@ -0,0 +1,22 @@
+// @vitest-environment jsdom
+import { describe,it,expect,vi,beforeEach } from 'vitest'
+vi.mock('./apiClient',()=>({apiClient:{post:vi.fn()}}))
+import { apiClient } from './apiClient'
+import { renderFunctionPlot } from './functionPlotService'
+describe('function plot preview boundary',()=>{
+  beforeEach(()=>vi.clearAllMocks())
+  it('shares requests only for the same source and theme, sanitizes SVG',async()=>{
+    vi.mocked(apiClient.post).mockResolvedValue({result:{content:'<svg onload="alert(1)"><script>alert(2)</script><path d="M0 0L1 1"/></svg>',warnings:[]},diagnostics:[],node_count:3})
+    const a=await renderFunctionPlot('y = x + 100','dark')
+    await renderFunctionPlot('y = x + 100','dark')
+    await renderFunctionPlot('y = x + 100','light')
+    expect(apiClient.post).toHaveBeenCalledTimes(2)
+    expect(a.svg).not.toMatch(/onload|script|alert/)
+  })
+  it('does not cache network failures',async()=>{
+    vi.mocked(apiClient.post).mockRejectedValueOnce(new Error('offline')).mockResolvedValueOnce({result:null,diagnostics:[{message:'bad expression',line:2}],node_count:0})
+    await expect(renderFunctionPlot('bad expression')).rejects.toThrow('offline')
+    const result=await renderFunctionPlot('bad expression')
+    expect(result.svg).toBe('');expect(result.warnings[0]).toContain('2')
+  })
+})

frontend/src/services/functionPlotService.ts

@@ -0,0 +1,23 @@
+import { apiClient } from './apiClient'
+import DOMPurify from 'dompurify'
+
+interface PlotWire {
+  result: { content: string; width: number; height: number; warnings: string[] } | null
+  diagnostics: { message: string; severity: string; line?: number }[]
+  node_count: number
+}
+const cache = new Map<string, Promise<{ svg: string; warnings: string[]; nodeCount: number }>>()
+export function renderFunctionPlot(source: string, themeId = 'light') {
+  // 缓存 Promise 既合并并发的相同请求，也避免重复渲染；失败结果立即移除以允许重试。
+  const key = JSON.stringify([source, themeId])
+  if (cache.has(key)) return cache.get(key)!
+  const result = apiClient.post<PlotWire>('/api/plots/function', { source, theme_id: themeId }, { timeoutMs: 30000 }).then(wire => ({
+    // 后端只生成静态 SVG，前端仍在渲染边界执行净化，防止未来响应扩展引入可执行标记。
+    svg: DOMPurify.sanitize(wire.result?.content ?? '', { USE_PROFILES: { svg: true } }),
+    warnings: [...wire.diagnostics.map(d => `${d.message}${d.line ? ` (行 ${d.line})` : ''}`), ...(wire.result?.warnings ?? [])],
+    nodeCount: wire.node_count,
+  })).catch(error => { cache.delete(key); throw error })
+  if (cache.size >= 32) cache.delete(cache.keys().next().value!)
+  cache.set(key, result)
+  return result
+}

frontend/src/services/mermaidService.ts

@@ -8,8 +8,8 @@ function loadMermaid() {
 import { computed } from 'vue'
 import { useThemeStore } from '@/stores/theme'
 
-export function mermaidThemeVariables(dark: boolean) {
+export function mermaidThemeVariables(dark: boolean, useDocument = true) {
-  const style = typeof document === 'undefined' ? null : getComputedStyle(document.documentElement)
+  const style = !useDocument || typeof document === 'undefined' ? null : getComputedStyle(document.documentElement)
   const color = (name: string, fallback: string) => style?.getPropertyValue(`--color-${name}`).trim() || fallback
   const text = color('text-primary', dark ? '#e6edf3' : '#1f2328')
   const border = color('border-default', dark ? '#484f58' : '#d0d7de')
@@ -29,15 +29,28 @@ export function mermaidThemeVariables(dark: boolean) {
   }
 }
 
-async function ensureInitialized(theme: 'light' | 'dark') {
+async function ensureInitialized(theme: 'light' | 'dark', raster = false, palette?: Record<string,string>, unlimited = false, frozenVariables?: ReturnType<typeof mermaidThemeVariables>) {
     const mermaid = await loadMermaid()
+    const dark = palette ? [1,3,5].reduce((sum,index,i) => sum + parseInt(palette.surface!.slice(index,index+2),16) * [0.2126,0.7152,0.0722][i]!,0) < 128 : theme === 'dark'
     mermaid.initialize({
       startOnLoad: false,
       theme: 'base',
-      themeVariables: mermaidThemeVariables(theme === 'dark'),
+      themeVariables: frozenVariables ?? (palette ? {
+        ...mermaidThemeVariables(dark, false), background: palette.surface,
+        primaryColor: palette.code, primaryTextColor: palette.text, primaryBorderColor: palette.border,
+        secondaryColor: palette.code, secondaryTextColor: palette.text, secondaryBorderColor: palette.border,
+        tertiaryColor: palette.code, tertiaryTextColor: palette.text, tertiaryBorderColor: palette.border,
+        textColor: palette.text, lineColor: palette.muted, mainBkg: palette.code, nodeBorder: palette.border,
+        clusterBkg: palette.surface, clusterBorder: palette.border, edgeLabelBackground: palette.surface,
+        actorBkg: palette.code, actorBorder: palette.border, actorTextColor: palette.text, actorLineColor: palette.muted,
+        signalColor: palette.muted, signalTextColor: palette.text, labelBoxBkgColor: palette.surface,
+        labelBoxBorderColor: palette.border, labelTextColor: palette.text, noteBkgColor: palette.code,
+        noteTextColor: palette.text, noteBorderColor: palette.border, activationBkgColor: palette.code, activationBorderColor: palette.border,
+      } : mermaidThemeVariables(theme === 'dark', !raster)),
+      ...(unlimited ? { maxTextSize: Number.MAX_SAFE_INTEGER, maxEdges: Number.MAX_SAFE_INTEGER } : {}),
       securityLevel: 'strict',
-      fontFamily: 'var(--font-ui-sans)',
+      fontFamily: raster ? 'Arial, Microsoft YaHei, sans-serif' : 'var(--font-ui-sans)',
-      flowchart: { useMaxWidth: true, htmlLabels: true },
+      flowchart: { useMaxWidth: true, htmlLabels: !raster },
       sequence: { useMaxWidth: true },
       gantt: { useMaxWidth: true },
     })
@@ -65,18 +78,18 @@ export interface MermaidParseError {
 
 let renderCounter = 0
 
-export function renderMermaid(source: string, options: { theme?: 'light' | 'dark'; mode?: 'interactive' | 'static' } = {}): Promise<MermaidRenderResult> {
+export function renderMermaid(source: string, options: { theme?: 'light' | 'dark'; mode?: 'interactive' | 'static' | 'raster'; palette?: Record<string,string>; unlimited?: boolean; themeVariables?: ReturnType<typeof mermaidThemeVariables> } = {}): Promise<MermaidRenderResult> {
   return serialized(() => renderMermaidNow(source, options))
 }
 
 async function renderMermaidNow(
   source: string,
-  options: { theme?: 'light' | 'dark'; mode?: 'interactive' | 'static' } = {}
+  options: { theme?: 'light' | 'dark'; mode?: 'interactive' | 'static' | 'raster'; palette?: Record<string,string>; unlimited?: boolean; themeVariables?: ReturnType<typeof mermaidThemeVariables> } = {}
 ): Promise<MermaidRenderResult> {
   const theme = options.theme ?? 'light'
   const id = `mermaid-${Date.now()}-${++renderCounter}`
   try {
-    const mermaid = await ensureInitialized(theme)
+    const mermaid = await ensureInitialized(theme, options.mode === 'raster', options.palette, options.unlimited, options.themeVariables)
     const result = await mermaid.render(id, source)
     const parser = new DOMParser()
     const doc = parser.parseFromString(result.svg, 'image/svg+xml')

frontend/src/services/pdfSnapshotService.spec.ts

@@ -0,0 +1,76 @@
+// @vitest-environment jsdom
+import {it,expect,vi,afterEach} from 'vitest'
+vi.mock('@/utils/markdown',()=>({renderMarkdown:vi.fn().mockResolvedValue('<h1>Heading</h1><details><summary>Tip</summary><p>Body</p></details><div class="markdown-code-toolbar"><button>Copy</button><span>python</span></div>')}))
+vi.mock('./apiClient',()=>({apiClient:{post:vi.fn().mockResolvedValue({images:[],plots:[]})}}))
+vi.mock('./mermaidService',()=>({mermaidThemeVariables:()=>({primaryColor:'#fff'})}))
+vi.mock('@/stores/theme',()=>({useThemeStore:()=>({isDark:false})}))
+vi.mock('@/stores/markdownPreferences',()=>({useMarkdownPreferencesStore:()=>({normalized:{wrapCode:true,lineNumbers:true,indent:4}})}))
+vi.mock('@/stores/headingAppearance',()=>({useHeadingAppearanceStore:()=>({cssVariables:{'--heading-1-size':'37px'},preferences:{custom:true}})}))
+vi.mock('@/components/common/MarkdownContent.vue',()=>({default:{}}))
+vi.mock('@/features/editor/VisualMarkdownEditor.vue',()=>({default:{__scopeId:'data-v-editor'}}))
+import {preparePdfSnapshot} from './pdfSnapshotService'
+import {apiClient} from './apiClient'
+import {renderMarkdown} from '@/utils/markdown'
+afterEach(()=>vi.clearAllMocks())
+it('preserves actual theme CSS, pseudo elements, root attributes and heading preferences',async()=>{
+ const style=document.createElement('style');style.textContent='[data-theme="paper"] .ProseMirror::before { content:"tape"; transform:rotate(-3deg) }';document.head.append(style)
+ document.documentElement.dataset.theme='paper'
+ try {
+  const html=await preparePdfSnapshot('# Heading','<Title>',{theme_id:'paper',include_title:true,page_size:'A4'})
+  expect(html).toContain('transform: rotate(-3deg)')
+  expect(html).toContain('data-theme="paper"')
+  expect(html).toContain('data-v-editor')
+  expect(html).toContain('data-heading-style="custom"')
+  expect(html).toContain('--heading-1-size:37px')
+  expect(html).toContain('&lt;Title&gt;')
+  expect(html).toContain('<details open="">')
+  expect(html).not.toContain('<button>Copy')
+  expect(html).toContain('<span>python</span>')
+  expect(renderMarkdown).toHaveBeenCalledWith('# Heading',expect.objectContaining({pdf:expect.anything()}))
+ } finally {style.remove();delete document.documentElement.dataset.theme}
+})
+it('rejects a missing image instead of silently producing an incomplete PDF',async()=>{
+ vi.mocked(renderMarkdown).mockResolvedValueOnce('<img src="missing.png">')
+ await expect(preparePdfSnapshot('![image](missing.png)','note',{theme_id:'light',include_title:false,page_size:'A4'})).rejects.toThrow('PDF 图片无法读取')
+})
+it('an aborted snapshot never requests backend resources',async()=>{
+ const controller=new AbortController();controller.abort()
+ await expect(preparePdfSnapshot('text','note',{theme_id:'light',include_title:false,page_size:'A4'},controller.signal)).rejects.toMatchObject({name:'AbortError'})
+ expect(apiClient.post).not.toHaveBeenCalled()
+})
+
+it('renders snapshot metadata with editor theme scopes and excludes YAML from the body',async()=>{
+ const markdown='---\ntitle: "<Current & title>"\ntags: ["<tag>", "未保存标签"]\n---\n# Body'
+ const html=await preparePdfSnapshot(markdown,'filename',{theme_id:'light',include_title:false,page_size:'A4'})
+ const doc=new DOMParser().parseFromString(html,'text/html')
+ const metadata=doc.querySelector('.milkdown-host > .note-metadata')!
+ expect(metadata.querySelector('h1')?.textContent).toBe('<Current & title>')
+ expect([...metadata.querySelectorAll('.metadata-tag')].map(el=>el.textContent)).toEqual(['<tag>','未保存标签'])
+ expect([...metadata.querySelectorAll('*')].every(el=>el.hasAttribute('data-v-editor'))).toBe(true)
+ expect(metadata.querySelector('button,input,form')).toBeNull()
+ expect(renderMarkdown).toHaveBeenCalledWith('# Body',expect.anything())
+ expect(apiClient.post).toHaveBeenCalledWith('/api/exports/preview-resources',expect.objectContaining({source:expect.objectContaining({markdown:'# Body'})}))
+})
+it('does not invent a metadata bar for plain notes or unsupported frontmatter',async()=>{
+ for(const source of ['plain text','---\ntitle: [invalid]\n---\nbody']) {
+  const html=await preparePdfSnapshot(source,'filename',{theme_id:'light',include_title:true,page_size:'A4'})
+  expect(html).not.toContain('<section class="note-metadata"')
+  expect(renderMarkdown).toHaveBeenCalledWith(source,expect.anything())
+ }
+})
+
+it('exports metadata-only notes without submitting an empty resource request',async()=>{
+ for(const tail of ['', '\n  \n']) {
+  const html=await preparePdfSnapshot('---\ntitle: Metadata only\ntags: [draft]\n---\n'+tail,'note',{theme_id:'light',include_title:false,page_size:'A4'})
+  const doc=new DOMParser().parseFromString(html,'text/html')
+  expect(doc.querySelector('.note-metadata h1')?.textContent).toBe('Metadata only')
+  expect(doc.querySelector('.metadata-tag')?.textContent).toBe('draft')
+ }
+ expect(apiClient.post).not.toHaveBeenCalled()
+})
+it('embeds prepared HTML images without retaining local URLs',async()=>{
+ vi.mocked(renderMarkdown).mockResolvedValueOnce('<p><img src="assets/a&amp;b.png"></p>')
+ vi.mocked(apiClient.post).mockResolvedValueOnce({images:[{source:'assets/a&b.png',data:'data:image/png;base64,aGVsbG8=',warnings:[]}],plots:[]})
+ const html=await preparePdfSnapshot('<img src="assets/a&amp;b.png">','note',{theme_id:'light',include_title:false,page_size:'A4'})
+ expect(new DOMParser().parseFromString(html,'text/html').querySelector('img')?.getAttribute('src')).toBe('data:image/png;base64,aGVsbG8=')
+})

frontend/src/services/pdfSnapshotService.ts

@@ -0,0 +1,114 @@
+import { apiClient } from './apiClient'
+import { renderMarkdown } from '@/utils/markdown'
+import { splitNoteMetadata } from '@/utils/noteMetadata'
+import { t } from '@/i18n'
+import { mermaidThemeVariables } from './mermaidService'
+import { useThemeStore } from '@/stores/theme'
+import { useMarkdownPreferencesStore } from '@/stores/markdownPreferences'
+import { useHeadingAppearanceStore } from '@/stores/headingAppearance'
+// 仅加载编辑器及 Markdown 组件的样式，包括 Vue scoped 规则，不额外挂载编辑器实例。
+import MarkdownContent from '@/components/common/MarkdownContent.vue'
+import VisualMarkdownEditor from '@/features/editor/VisualMarkdownEditor.vue'
+void MarkdownContent; void VisualMarkdownEditor
+
+interface Resources { images: {source:string; data:string|null; warnings:string[]}[]; plots: {source:string; svg:string; warnings:string[]}[] }
+interface Options { theme_id:string; include_title:boolean; page_size:string }
+
+const printRules = `
+@page { margin: 0; }
+html, body { margin:0 !important; padding:0 !important; width:auto !important; height:auto !important; min-height:0 !important; overflow:visible !important; display:block !important; }
+* { -webkit-print-color-adjust:exact !important; print-color-adjust:exact !important; animation:none !important; transition:none !important; }
+.pdf-document, .pdf-document .milkdown-host, .pdf-document .milkdown { display:block !important; height:auto !important; min-height:0 !important; overflow:visible !important; }
+.pdf-document .ProseMirror { min-height:0 !important; overflow:visible !important; box-decoration-break:clone; -webkit-box-decoration-break:clone; }
+.pdf-document :is(h1,h2,h3,h4,h5,h6) { break-after:avoid; }
+.pdf-document img { max-width:100%; }
+.pdf-document .markdown-mermaid > svg { width:100% !important; min-width:0 !important; max-width:100% !important; height:auto !important; max-height:250mm; }
+.pdf-document :is(.markdown-mermaid,.markdown-math,table) { break-inside:avoid; }
+.pdf-document :is(pre,.shiki) { overflow:visible !important; white-space:pre-wrap; overflow-wrap:anywhere; }
+.pdf-document .markdown-code-toolbar button, .pdf-document .diagram-controls { display:none !important; }
+`
+
+function attrs(element: Element): string {
+  return [...element.attributes].filter(a => a.name==='class' || a.name==='style' || a.name.startsWith('data-')).map(a=>` ${a.name}="${escape(a.value)}"`).join('')
+}
+function escape(text: string) { return text.replace(/&/g,'&amp;').replace(/"/g,'&quot;').replace(/</g,'&lt;').replace(/>/g,'&gt;') }
+function scopeAttributes(component: unknown) { const id=(component as {__scopeId?:string}).__scopeId; return id ? ` ${id}` : '' }
+async function dataUrl(url: string, signal?:AbortSignal):Promise<string> {
+  const response=await fetch(url,{signal}); if(!response.ok) throw Error(`PDF 资源读取失败：${url}`)
+  const blob=await response.blob()
+  return await new Promise((resolve,reject)=>{const reader=new FileReader();reader.onload=()=>resolve(String(reader.result));reader.onerror=reject;reader.readAsDataURL(blob)})
+}
+async function embedCss(css: string, base: string, signal?:AbortSignal) {
+  // 打印进程完全离线，主题资源必须来自应用同源地址并在此转换为 data URL。
+  const matches=[...css.matchAll(/url\(\s*(['"]?)(.*?)\1\s*\)/g)]
+  for(const match of matches) {
+    const url=match[2]!
+    if(url.startsWith('data:')||url.startsWith('#'))continue
+    const absolute=new URL(url,base)
+    if(absolute.origin!==location.origin)throw Error(`PDF 主题资源必须来自应用：${absolute.href}`)
+    css=css.replace(match[0],`url("${await dataUrl(absolute.href,signal)}")`)
+  }
+  return css
+}
+function stylesheetSnapshot(): {css:string;base:string}[] {
+  const sheets: {css:string;base:string}[]=[]
+  function visit(sheet:CSSStyleSheet) {
+    for(const rule of [...sheet.cssRules]) {
+      if(rule instanceof CSSImportRule && rule.styleSheet)visit(rule.styleSheet)
+      else sheets.push({css:rule.cssText,base:sheet.href || document.baseURI})
+    }
+  }
+  for(const sheet of [...document.styleSheets])visit(sheet)
+  return sheets
+}
+
+export async function preparePdfSnapshot(markdown:string,title:string,options:Options,signal?:AbortSignal,filePath?:string):Promise<string> {
+  // 在任何异步资源请求前冻结主题、排版和编辑器内容，保证产物对应点击导出时的状态。
+  signal?.throwIfAborted()
+  const theme=useThemeStore(), preferences={...useMarkdownPreferencesStore().normalized}, heading=useHeadingAppearanceStore()
+  if(theme.currentThemeId && theme.currentThemeId!==options.theme_id)throw Error('主题在导出准备期间发生变化，请重新导出。')
+  const htmlAttrs=attrs(document.documentElement), bodyAttrs=attrs(document.body)
+  const variables=getComputedStyle(document.documentElement)
+  const rootVariables=[...variables].filter(name=>name.startsWith('--')).map(name=>`${name}:${variables.getPropertyValue(name)};`).join('')
+  const styles=stylesheetSnapshot()
+  const diagramVariables=mermaidThemeVariables(theme.isDark)
+  const headingStyle=Object.entries(heading.cssVariables).map(([key,value])=>`${key}:${value}`).join(';')
+  const customHeading=heading.preferences.custom
+  const dark=theme.isDark
+  const metadata=splitNoteMetadata(markdown)
+  const body=metadata?.body ?? markdown
+  const scope=scopeAttributes(VisualMarkdownEditor)
+  // 复用编辑器 DOM 与 scoped 样式；元数据只输出展示内容，不携带编辑控件。
+  const metadataHtml=metadata ? `<section class="note-metadata"${scope} aria-label="${escape(t('笔记属性','Note properties'))}"><span class="metadata-caption"${scope}>${escape(t('笔记属性','Note properties'))}</span>${metadata.title ? `<h1${scope}>${escape(metadata.title)}</h1>` : ''}<div class="metadata-tags"${scope}><span class="metadata-label"${scope}>${escape(t('标签','Tags'))}</span>${metadata.tags.map(tag=>`<span class="metadata-tag"${scope}><span${scope}>${escape(tag)}</span></span>`).join('')}</div></section>` : ''
+  // 仅含元数据的笔记没有正文资源，跳过请求可避免空 Markdown 触发接口的 422 校验。
+  const resources:Resources=body.trim() ? await apiClient.post<Resources>('/api/exports/preview-resources',{format:'pdf',source:{type:'markdown',markdown:body,file_path:filePath},options}) : {images:[],plots:[]}
+  signal?.throwIfAborted()
+  const rendered=await renderMarkdown(body,{themeId:options.theme_id,theme:dark?'dark':'light',preferences,pdf:{mermaidVariables:diagramVariables,plot:async source=>{
+    const plot=resources.plots.find(p=>p.source.trim()===source.trim()); if(!plot?.svg)throw Error(plot?.warnings.join('; ')||'函数图像无法导出');return plot
+  }}})
+  const fragment=new DOMParser().parseFromString(rendered,'text/html')
+  for(const image of fragment.querySelectorAll('img')) {
+    const source=image.getAttribute('src')||''
+    if(source.startsWith('data:'))continue
+    const resource=resources.images.find(item=>item.source===source)
+    if(!resource?.data)throw Error(resource?.warnings.join('; ')||`PDF 图片无法读取：${source}`)
+    image.src=resource.data
+  }
+  // 打印全部警告框内容，只移除交互控件，保留主题装饰。
+  fragment.querySelectorAll('details').forEach(d=>d.open=true)
+  // 工作区使用 blockquote 表示警告框；保持相同 DOM 契约，让间距和装饰选择器继续生效。
+  fragment.querySelectorAll('.markdown-callout:not(blockquote)').forEach(details=>{
+    const block=fragment.createElement('blockquote')
+    for(const attribute of [...details.attributes])if(attribute.name!=='open')block.setAttribute(attribute.name,attribute.value)
+    block.innerHTML=details.innerHTML
+    const summary=block.querySelector('summary')
+    if(summary){const title=fragment.createElement('div');title.className=summary.className;title.innerHTML=summary.innerHTML;summary.replaceWith(title)}
+    details.replaceWith(block)
+  })
+  const error=fragment.querySelector('.mermaid-error')
+  if(error)throw Error(error.textContent||'PDF 图表渲染失败')
+  fragment.querySelectorAll('.markdown-code-toolbar button,.diagram-controls').forEach(e=>e.remove())
+  const css=(await Promise.all(styles.map(s=>embedCss(s.css,s.base,signal)))).join('\n')
+  signal?.throwIfAborted()
+  return `<!doctype html><html${htmlAttrs}><head><meta charset="utf-8"><title>${escape(title)}</title><style>${css.replace(/<\/style/gi,'<\\/style')}\n:root{${rootVariables}}\n${printRules}</style></head><body${bodyAttrs}><div class="visual-editor pdf-document"${scope} ${customHeading?'data-heading-style="custom"':''} style="${escape(headingStyle)}"><div class="milkdown-host"${scope}>${metadataHtml}<div class="milkdown"><article class="ProseMirror markdown-content" data-code-wrap="${preferences.wrapCode}" data-line-numbers="${preferences.lineNumbers}" style="--markdown-code-indent:${preferences.indent}">${options.include_title?`<h1>${escape(title)}</h1>`:''}${fragment.body.innerHTML}</article></div></div></div></body></html>`
+}

frontend/src/styles/tokens.css

@@ -375,3 +375,41 @@ ol {
   --color-border-focus: #8a5b32;
   --color-border-disabled: #eadfc4;
 }
+
+/* 函数图颜色继承所有已安装主题，也允许自定义主题包覆盖这些 Token。 */
+:root {
+  --color-plot-background: var(--color-surface-primary);
+  --color-plot-text: var(--color-text-primary);
+  --color-plot-axis: var(--color-text-secondary);
+  --color-plot-grid: var(--color-border-default);
+  --color-plot-curve-0: #0969da;
+  --color-plot-curve-1: #d1242f;
+  --color-plot-curve-2: #1a7f37;
+  --color-plot-curve-3: #8250df;
+  --color-plot-curve-4: #9a6700;
+  --color-plot-curve-5: #bc4c00;
+}
+[data-theme='dark'], [data-theme='midnight-purple'] {
+  --color-plot-curve-0: #79c0ff;
+  --color-plot-curve-1: #ff9b9b;
+  --color-plot-curve-2: #7ee787;
+  --color-plot-curve-3: #d2a8ff;
+  --color-plot-curve-4: #f2cc60;
+  --color-plot-curve-5: #ffa657;
+}
+.function-plot-svg > rect:first-child { fill: var(--color-plot-background); }
+.function-plot-svg .plot-grid { stroke: var(--color-plot-grid); }
+.function-plot-svg .plot-axis { stroke: var(--color-plot-axis); }
+.function-plot-svg text { fill: var(--color-plot-text); }
+.function-plot-svg .plot-curve-0 { stroke: var(--color-plot-curve-0); }
+.function-plot-svg .plot-legend-0 { fill: var(--color-plot-curve-0); }
+.function-plot-svg .plot-curve-1 { stroke: var(--color-plot-curve-1); }
+.function-plot-svg .plot-legend-1 { fill: var(--color-plot-curve-1); }
+.function-plot-svg .plot-curve-2 { stroke: var(--color-plot-curve-2); }
+.function-plot-svg .plot-legend-2 { fill: var(--color-plot-curve-2); }
+.function-plot-svg .plot-curve-3 { stroke: var(--color-plot-curve-3); }
+.function-plot-svg .plot-legend-3 { fill: var(--color-plot-curve-3); }
+.function-plot-svg .plot-curve-4 { stroke: var(--color-plot-curve-4); }
+.function-plot-svg .plot-legend-4 { fill: var(--color-plot-curve-4); }
+.function-plot-svg .plot-curve-5 { stroke: var(--color-plot-curve-5); }
+.function-plot-svg .plot-legend-5 { fill: var(--color-plot-curve-5); }

frontend/src/utils/markdown.ts

@@ -1,3 +1,4 @@
+import { renderFunctionPlot } from '@/services/functionPlotService'
 import DOMPurify from 'dompurify'
 import { Marked } from 'marked'
 import { defaultMarkdownPreferences, type MarkdownPreferences } from '@/stores/markdownPreferences'
@@ -6,7 +7,7 @@ import { createOnigurumaEngine } from 'shiki/engine/oniguruma'
 import { bundledLanguagesInfo } from 'shiki/langs'
 import githubDark from '@shikijs/themes/github-dark'
 import githubLight from '@shikijs/themes/github-light'
-import { renderMermaid } from '@/services/mermaidService'
+import { renderMermaid, type mermaidThemeVariables } from '@/services/mermaidService'
 import { appendDiagramControls } from './diagramControls'
 import katex from 'katex'
 import 'katex/dist/katex.min.css'
@@ -125,7 +126,7 @@ export async function getCodeTokenizer(theme: 'github-light' | 'github-dark', re
   }
 }
 
-export async function renderMarkdown(source: string, options?: { theme?: 'light' | 'dark'; preferences?: MarkdownPreferences; citationNumbers?: number[]; citationAliases?: Record<string, number> }): Promise<string> {
+export async function renderMarkdown(source: string, options?: { themeId?: string; theme?: 'light' | 'dark'; preferences?: MarkdownPreferences; pdf?: { plot: (source: string) => Promise<{svg: string; warnings: string[]}>; mermaidVariables: ReturnType<typeof mermaidThemeVariables> }; citationNumbers?: number[]; citationAliases?: Record<string, number> }): Promise<string> {
   const preferences = options?.preferences ?? defaultMarkdownPreferences
   const marked = createMarkdownParser(preferences)
   const citations = new Set(options?.citationNumbers ?? [])
@@ -141,12 +142,14 @@ export async function renderMarkdown(source: string, options?: { theme?: 'light'
   const html = marked.parse(source, { async: false }) as string
   const documentNode = new DOMParser().parseFromString(`<body>${html}</body>`, 'text/html')
 
-  const mermaidBlocks: { pre: Element; source: string }[] = []
+  const mermaidBlocks: { pre: Element; source: string; kind: string }[] = []
 
   for (const code of documentNode.querySelectorAll('pre > code')) {
     const requestedLanguage = [...code.classList].find((name) => name.startsWith('language-'))?.slice(9) || 'text'
-    if (requestedLanguage === 'mermaid' && preferences.diagrams) {
+    // Mermaid 与函数图共用静态图表管线；兼容旧的 function_plot 围栏写法。
-      mermaidBlocks.push({ pre: code.parentElement!, source: code.textContent ?? '' })
+    const diagramKind = requestedLanguage.toLowerCase().split(/\s+/)[0]!.replace('function_plot','function-plot')
+    if (['mermaid', 'function-plot'].includes(diagramKind) && preferences.diagrams) {
+      mermaidBlocks.push({ pre: code.parentElement!, source: code.textContent ?? '', kind: diagramKind })
       continue
     }
     if (requestedLanguage.toLowerCase() === 'latex' && preferences.math) {
@@ -168,19 +171,24 @@ export async function renderMarkdown(source: string, options?: { theme?: 'light'
     code.parentElement?.replaceWith(wrapper)
   }
 
-  for (const { pre, source } of mermaidBlocks) {
+  let plotCount = 0, plotNodes = 0
+  for (const { pre, source, kind } of mermaidBlocks) {
     try {
-      const result = await renderMermaid(source, { theme: options?.theme, mode: 'static' })
+      // 交互预览保持数量和 AST 复杂度预算；PDF 已在隔离渲染链路中按需求解除限制。
+      if (!options?.pdf && kind === 'function-plot' && ++plotCount > 16) throw new Error('函数图像数量超过 16')
+      const result = kind === 'function-plot' ? (options?.pdf ? await options.pdf.plot(source) : await renderFunctionPlot(source, options?.themeId)) : await renderMermaid(source, { theme: options?.theme, mode: 'static', ...(options?.pdf ? { unlimited:true, themeVariables:options.pdf.mermaidVariables } : {}) })
+      if (!options?.pdf && 'nodeCount' in result && (plotNodes += Number(result.nodeCount)) > 8000) throw new Error('函数图像累计复杂度超过 8000')
       const container = document.createElement('div')
-      container.className = 'markdown-mermaid'
+      container.className = 'markdown-mermaid' + (kind === 'function-plot' ? ' markdown-function-plot' : '')
       container.innerHTML = result.svg
-      appendCodeToolbar(container, 'mermaid', source, true)
+      appendCodeToolbar(container, kind, source, true)
-      if (!result.warnings.length) appendDiagramControls(container)
+      if (result.warnings.length) { const message = document.createElement('p'); message.textContent = result.warnings.join('\n'); message.setAttribute('role', 'status'); container.append(message) }
+      if (!result.warnings.length || (kind === 'function-plot' && result.svg)) appendDiagramControls(container)
       pre.replaceWith(container)
-    } catch {
+    } catch (error) {
       const fallback = document.createElement('pre')
       fallback.className = 'mermaid-error'
-      fallback.textContent = source
+      fallback.textContent = `${error instanceof Error ? error.message : '图表渲染失败'}\n${source}`
       pre.replaceWith(fallback)
     }
   }

frontend/tests/visual/mermaid-matrix.html

@@ -15,6 +15,19 @@ const fixtures = {
 };
 const allThemes = [{theme_id:'light',is_dark:false},{theme_id:'dark',is_dark:true},{theme_id:'sepia',is_dark:false},...mockCommunityThemes];
 const requested = new URLSearchParams(location.search).get('theme');
+if (!requested) {
+  const results=[];
+  for (const theme of allThemes) {
+    const frame=document.createElement('iframe');
+    frame.title=theme.theme_id; frame.style.cssText='width:100%;height:900px;border:0';
+    frame.src='?theme='+encodeURIComponent(theme.theme_id); document.querySelector('#results').append(frame);
+    await new Promise(resolve=>frame.onload=resolve);
+    while(frame.contentDocument.documentElement.dataset.complete!=='true') await new Promise(resolve=>setTimeout(resolve,100));
+    results.push(...JSON.parse(frame.contentDocument.querySelector('#status').textContent).results);
+  }
+  document.querySelector('#status').textContent=JSON.stringify({passed:results.filter(r=>r.passed).length,total:results.length,results});
+  document.documentElement.dataset.complete='true';
+} else {
 const themes = requested ? allThemes.filter(t=>t.theme_id===requested) : allThemes;
 const style = document.createElement('style'); document.head.append(style);
 const results = [];
@@ -35,4 +48,5 @@ for (const theme of themes) {
 }
 document.querySelector('#status').textContent=JSON.stringify({passed:results.filter(r=>r.passed).length,total:results.length,results});
 document.documentElement.dataset.complete='true';
+}
 </script></body></html>

frontend/tests/visual/phase2.html

@@ -0,0 +1,20 @@
+<!doctype html><html><head><meta charset="utf-8"><meta name="viewport" content="width=device-width,initial-scale=1"><title>Phase 2 interaction acceptance</title></head><body><div id="app"></div>
+<script type="module">
+import {createApp,h} from 'vue'; import {createPinia,setActivePinia} from 'pinia';
+import {useSettingsStore} from '/src/stores/settings.ts';
+import {useThemeStore} from '/src/stores/theme.ts'; import {useEditorStore} from '/src/stores/editor.ts';
+import {mockCommunityThemes} from '/src/services/themePackageService.ts';
+import EditorHeader from '/src/features/editor/EditorHeader.vue'; import EditorPane from '/src/features/editor/EditorPane.vue';
+import MarkdownContent from '/src/components/common/MarkdownContent.vue';
+import '/src/styles/tokens.css'; import '/src/styles/features.css';
+const pinia=createPinia();setActivePinia(pinia);
+const theme=useThemeStore(); await theme.loadCustomThemes();
+const id=new URLSearchParams(location.search).get('theme')||'light';
+if(mockCommunityThemes.some(t=>t.theme_id===id)) await theme.installCommunityTheme(id);
+theme.applyTheme(id,{persist:false});
+useSettingsStore().autoSaveInterval=3600000;
+const editor=useEditorStore();
+editor.content='# 第二阶段图表与导出\n\n未保存快照 PHASE2-SNAPSHOT\n\n```function-plot\ndomain: -4, 4\ny = x^2\ny = sin(x)\n```\n\n```mermaid\nflowchart LR\n A[笔记] --> B[导出]\n```\n\n公式：$x^2 + y^2 = 1$。';
+editor.currentFilePath='phase2-demo.md';
+createApp({render:()=>h('main',{},[h('h1',{},id),h('button',{onClick:()=>theme.applyTheme(theme.currentThemeId==='dark'?'light':'dark',{persist:false})},'测试切换主题'),h(EditorHeader),h('div',{style:'height:650px;display:flex'},[h(EditorPane)]),h('h2',{},'只读 / AI 共用预览'),h(MarkdownContent,{source:editor.content})])}).use(pinia).mount('#app');
+</script><style>body{height:auto!important;overflow:auto!important;margin:0;padding:16px;background:var(--color-background-primary);color:var(--color-text-primary);font-family:Arial,'Microsoft YaHei',sans-serif}main{max-width:1050px;margin:auto}button,select,input{font:inherit;color:inherit;background:var(--color-surface-primary);border:1px solid var(--color-border-default);border-radius:4px;padding:5px}button{cursor:pointer}svg{max-width:100%}</style></body></html>

frontend/vite.config.ts

@@ -17,6 +17,7 @@ function mathChunk(module: string) {
 export default defineConfig({
   plugins: [vue()],
   resolve: {
+    dedupe: ['katex'],
     alias: {
       '@': path.resolve(__dirname, 'src'),
     },
@@ -42,8 +43,8 @@ export default defineConfig({
     host: '127.0.0.1',
     port: 5173,
     proxy: {
-      '/api': 'http://127.0.0.1:8000',
+      '/api': process.env.NOTES_API_TARGET ?? 'http://127.0.0.1:8000',
-      '/health': 'http://127.0.0.1:8000',
+      '/health': process.env.NOTES_API_TARGET ?? 'http://127.0.0.1:8000',
     },
   },
 })