feat: 完成benchmark后端功能

This commit is contained in:
yxx
2026-09-01 23:19:28 +08:00
parent 83782f1d0a
commit 9b50b8f0ce
11 changed files with 1060 additions and 1 deletions
+131
View File
@@ -626,3 +626,134 @@ class IndexJob(Contract):
status: Literal["queued", "running", "completed", "failed"]
scope: Literal["all", "notes", "vectors"]
created_at: datetime
# Benchmark
class BenchmarkKind(str, Enum):
rag = "rag"
agent = "agent"
class BenchmarkStatus(str, Enum):
queued = "queued"
running = "running"
completed = "completed"
failed = "failed"
cancelled = "cancelled"
class RAGDatasetCase(Contract):
case_id: str
query: str = Field(min_length=1)
expected_note_ids: list[str] = Field(default_factory=list)
expected_block_ids: list[str] = Field(default_factory=list)
citation_required: bool = False
tags: list[str] = Field(default_factory=list)
class RAGRetrievalConfig(Contract):
"""RAG Benchmark 的检索参数。top_k 映射到 SearchRequest.limit,其余参数当前
记录进 config_snapshot,由 RetrievalProfile 共享(§9.9)落地后再接入引擎。"""
top_k: int = Field(default=10, ge=1, le=100)
rrf_k: int = Field(default=60, ge=1)
rerank: bool = True
rerank_candidates: int = Field(default=20, ge=1)
score_threshold: float = Field(default=0.0, ge=0.0)
class RAGRunRequest(Contract):
dataset_id: str = Field(min_length=1)
modes: list[SearchMode] = Field(
default_factory=lambda: [SearchMode.fts, SearchMode.vector, SearchMode.hybrid]
)
retrieval: RAGRetrievalConfig = Field(default_factory=RAGRetrievalConfig)
repeat: int = Field(default=1, ge=1, le=10)
metadata: dict[str, Any] = Field(default_factory=dict)
class RAGMetrics(Contract):
hit_at_1: float = 0.0
hit_at_5: float = 0.0
recall_at_k: float = 0.0
mrr: float = 0.0
citation_hit_rate: float = 0.0
p50_latency_ms: float = 0.0
p95_latency_ms: float = 0.0
class BenchmarkDatasetInfo(Contract):
dataset_id: str
kind: BenchmarkKind
version: str
description: str = ""
case_count: int
content_hash: str
class BenchmarkDatasetListResponse(Contract):
items: list[BenchmarkDatasetInfo] = Field(default_factory=list)
class BenchmarkRun(Contract):
run_id: str
kind: BenchmarkKind
dataset_id: str
dataset_hash: str
status: BenchmarkStatus
progress: float | None = None
metrics: dict[str, Any] | None = None
config_snapshot: dict[str, Any] = Field(default_factory=dict)
error: str | None = None
created_at: datetime
started_at: datetime | None = None
completed_at: datetime | None = None
class BenchmarkRunListResponse(Contract):
items: list[BenchmarkRun] = Field(default_factory=list)
page: PageMeta = Field(default_factory=PageMeta)
class BenchmarkEventType(str, Enum):
run_started = "RunStarted"
case_completed = "CaseCompleted"
run_completed = "RunCompleted"
run_failed = "RunFailed"
class BenchmarkEvent(Contract):
event: BenchmarkEventType
run_id: str
sequence: int
data: dict[str, Any] = Field(default_factory=dict)
timestamp: datetime
class RAGCaseResult(Contract):
case_id: str
mode: SearchMode
repeat: int
latency_ms: float
retrieved_note_ids: list[str] = Field(default_factory=list)
retrieved_block_ids: list[str] = Field(default_factory=list)
hit_at_1: bool = False
hit_at_5: bool = False
recall: float = 0.0
reciprocal_rank: float = 0.0
citation_hit: bool = False
# 该 Case 是否声明了 expected_block_ids(决定是否计入 citation_hit_rate 分母)
citation_applicable: bool = False
error: str | None = None
class BenchmarkReport(Contract):
run_id: str
kind: BenchmarkKind
dataset_id: str
dataset_hash: str
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)
error: str | None = None