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200 lines
11 KiB
Python
200 lines
11 KiB
Python
import asyncio
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import base64
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import json
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from io import BytesIO
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from zipfile import ZipFile
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from pathlib import Path
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import pytest
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from PIL import Image
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from app.contracts import ExportAsset, ExportRequest, AgentBenchmarkRequest, BenchmarkStatus
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from app.export import service as exports
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from app.export.assets import validate_assets, source_hash
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from app.errors import ApiError
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def asset(source='flowchart LR\n A --> B'):
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buf=BytesIO(); Image.new('RGB',(60,40),'blue').save(buf,'PNG')
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return ExportAsset(kind='mermaid', source_hash=source_hash(source), png_base64=base64.b64encode(buf.getvalue()).decode())
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@pytest.mark.parametrize('format',['html','pdf','docx'])
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def test_static_mermaid_in_export(format):
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async def run():
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job=await exports.create_export(ExportRequest(source={'type':'markdown','markdown':'```mermaid\nflowchart LR\n A --> B\n```'},format=format,assets=[asset()],title='snapshot'))
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finished=await exports.wait_for_export(job.job_id)
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assert finished.status.value=='completed'
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assert not any('mermaid' in w for w in finished.warnings)
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data=exports.get_export_file(job.job_id).read_bytes()
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if format=='html': assert b'data:image/png;base64,' in data
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elif format=='pdf': assert b'/Subtype /Image' in data
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else:
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with ZipFile(BytesIO(data)) as archive: assert any(n.startswith('word/media/') for n in archive.namelist())
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asyncio.run(run())
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def test_asset_invalid_and_duplicate():
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with pytest.raises(ApiError): validate_assets([asset().model_copy(update={'png_base64':'not png'})])
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with pytest.raises(ApiError): validate_assets([asset(),asset()])
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def test_stale_asset_does_not_replace_source():
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from app.export.assets import attach_assets
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from app.export.markdown import parse_document
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document=parse_document('```mermaid\nflowchart LR\n X --> Y\n```')
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attach_assets(document,validate_assets([asset()]))
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assert 'static_png' not in document.children[0].attributes
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@pytest.mark.parametrize('format',['html','pdf','docx'])
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def test_math_and_local_image_export(format):
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from app.config import get_settings
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vault=get_settings().vault_path; vault.mkdir(parents=True)
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Image.new('RGB',(100,50),'green').save(vault/'figure.png')
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async def run():
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job=await exports.create_export(ExportRequest(source={'type':'markdown','file_path':'demo.md',
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'markdown':'Formula $\\frac{x^2}{2}$\n\n'},format=format))
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done=await exports.wait_for_export(job.job_id)
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assert done.status.value=='completed'
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assert not any('公式' in w or '图片' in w for w in done.warnings)
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data=exports.get_export_file(job.job_id).read_bytes()
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if format=='html': assert data.count(b'data:image/png;base64,')==2
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if format=='docx':
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with ZipFile(BytesIO(data)) as archive: assert len([n for n in archive.namelist() if n.startswith('word/media/')])==2
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asyncio.run(run())
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def test_local_image_path_escape_and_tex_fallback():
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from app.export.assets import enrich_document
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from app.export.markdown import parse_document
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document=parse_document('\n\n$\\unknownmacro{x}$')
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warnings=enrich_document(document,'demo.md')
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assert len(warnings)==2
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@pytest.mark.parametrize('theme',['light','dark','sepia','paper-moments','ocean-blue','midnight-purple'])
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def test_function_preview_theme_and_parser(theme):
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from app.plot_routes import PlotRequest, preview
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result=preview(PlotRequest(source='y = x^2\ny = sin(x)',theme_id=theme))
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assert '<polyline' in result.result.content
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assert 'nan' not in result.result.content
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assert preview(PlotRequest(source='y = __import__("os")')).result is None
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def test_agent_benchmark_real_runtime_offline_lifecycle():
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from app.config import get_settings
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from app.benchmarks import agent, service
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from app.container import container
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directory=get_settings().benchmark_datasets_path; directory.mkdir(parents=True,exist_ok=True)
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(directory/'agent-test.json').write_text(json.dumps({'dataset_id':'agent-test','kind':'agent','version':'1', 'cases':[
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{'case_id':'hello','prompt':'hello','output_contains':['definitely-absent'],'allowed_tools':[]}
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]}),encoding='utf-8')
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async def run():
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request=AgentBenchmarkRequest(dataset_id='agent-test',provider_id='mock',model='mock-model',offline=True)
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with pytest.raises(ApiError): await agent.create_run(request.model_copy(update={'offline':False}))
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created=await agent.create_run(request)
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done=await service.wait_for_run(created.run_id)
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assert done.status==BenchmarkStatus.completed
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report=service.get_report(created.run_id)
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assert report.metrics['task_success_rate']==0
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case=report.cases[0]
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assert case.agent_run_id and container.agent.get_run(case.agent_run_id)
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assert report.config_snapshot['execution']=='offline'
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events=service.get_events(created.run_id)
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assert [e.sequence for e in events]==list(range(len(events)))
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assert sum(e.event.value.startswith('Run') and e.event.value!='RunStarted' for e in events)==1
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second=await agent.create_run(request); service.cancel_run(second.run_id)
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assert (await service.wait_for_run(second.run_id)).status==BenchmarkStatus.cancelled
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asyncio.run(run())
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def test_agent_score_counts_duplicate_and_invalid_calls():
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from types import SimpleNamespace as NS
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from app.contracts import AgentDatasetCase
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from app.benchmarks.agent import score,aggregate
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case=AgentDatasetCase(case_id='x',prompt='x',allowed_tools=['math.add'],expected_tools=[{'name':'math.add','arguments':{'left':2}}])
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events=[NS(event=NS(value='ToolCall'),data={'name':'math.add','arguments':{'left':2}}) for _ in range(2)]
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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)
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result=score(case,run,events,10,0)
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assert not result.success
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assert aggregate([result])['tool_argument_accuracy']==.5
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assert aggregate([result])['invalid_tool_call_rate']==.5
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def test_local_embedding_cache_is_config_scoped_and_returns_copies(monkeypatch,tmp_path):
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from app.local_models import runtime as local
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from app.retrieval.provenance import capture_embedding
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monkeypatch.setattr(local,'read_state',lambda key:{'status':'installed'})
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monkeypatch.setattr(local,'interpreter',lambda config=None:Path(__file__))
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monkeypatch.setattr(local,'model_path',lambda key:tmp_path/key)
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calls=[]
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async def infer(*args,**kwargs):
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calls.append(args);return [[.5]*384]
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monkeypatch.setattr(local.runtime,'infer',infer)
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async def run():
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embedding=local.LocalEmbedding(local.RuntimeConfig())
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first=await embedding.embed_documents(['query'])
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first[0][0]=999
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with capture_embedding() as observation:
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second=await embedding.embed_documents(['query'])
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assert second[0][0]==.5 and observation['query_embedding_cache']=='hit'
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assert len(calls)==1
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await local.LocalEmbedding(local.RuntimeConfig(version=2)).embed_documents(['query'])
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assert len(calls)==2
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asyncio.run(run())
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def test_preview_http_and_agent_benchmark_validation():
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from fastapi.testclient import TestClient
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from app.main import app
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with TestClient(app) as client:
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response = client.post('/api/plots/function', json={'source':'y = sin(x)', 'theme_id':'dark'})
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assert response.status_code == 200 and '<polyline' in response.json()['result']['content']
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assert client.post('/api/plots/function', json={'source':'x'*20001}).status_code == 422
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bad = client.post('/api/benchmarks/agent/runs', json={
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'dataset_id':'missing', 'provider_id':'missing', 'model':'missing'})
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assert bad.status_code == 404
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assert client.get('/api/benchmarks/runs/missing/report').status_code == 404
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schema = client.get('/openapi.json').json()
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assert '/api/benchmarks/agent/runs' in schema['paths']
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def test_preview_rejects_aggregate_complexity_before_sampling():
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from app.plot_routes import PlotRequest, preview
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source = '\n'.join('y = '+ '+'.join(['(x+x)']*150) for _ in range(16))
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result = preview(PlotRequest(source=source))
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assert result.result is None
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assert result.diagnostics[0].code == 'PLOT_BUDGET_EXCEEDED'
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def test_repeated_static_assets_share_document_resource_budget():
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from app.export.assets import attach_assets, enrich_document
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from app.export.markdown import parse_document
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document = parse_document(('```mermaid\nflowchart LR\n A --> B\n```\n\n')*65)
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attach_assets(document, validate_assets([asset()]))
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warnings = enrich_document(document)
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assert sum(bool(node.attributes.get('static_png')) for node in document.children) == 64
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assert any('预算' in warning for warning in warnings)
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@pytest.mark.parametrize('order', [(1, 2), (2, 1)])
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def test_agent_parameter_matching_is_independent_of_call_order(order):
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from types import SimpleNamespace as NS
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from app.benchmarks.agent import score
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from app.contracts import AgentDatasetCase
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case = AgentDatasetCase(case_id='overlap', prompt='test', allowed_tools=['math.add'],
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expected_tools=[{'name':'math.add','arguments':{}}, {'name':'math.add','arguments':{'left':1}}])
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events = [NS(event=NS(value='ToolCall'), data={'name':'math.add','arguments':{'left':value}}) for value in order]
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run = NS(status=NS(value='completed'),tool_results=[],output='',citations=[],run_id='test',current_step=1,token_usage=0,error_code=None)
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result = score(case, run, events, 1, 0)
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assert result.success and result.accurate_calls == result.selected_calls == 2
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# 两个期望不能重复使用一个匹配的调用。
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result = score(case, run, events[:1], 1, 0)
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assert not result.success and result.accurate_calls == 1
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@pytest.mark.parametrize('page_size', ['A4', 'Letter'])
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@pytest.mark.parametrize('dimensions', [(200, 2000), (2000, 200)])
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def test_docx_static_images_fit_both_page_dimensions(page_size, dimensions):
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from app.export.markdown import parse_document
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from app.export.exporters.docx import DocxExporter
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from app.contracts import ExportOptions
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from docx import Document
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png = BytesIO(); Image.new('RGB', dimensions, 'white').save(png, 'PNG')
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document = parse_document('```mermaid\nflowchart TD\n A-->B\n```')
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document.children[0].attributes['static_png'] = png.getvalue()
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result = DocxExporter().render(document, ExportOptions(page_size=page_size))
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word = Document(BytesIO(result.content)); section = word.sections[0]; shape = word.inline_shapes[0]
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assert shape.width <= section.page_width - section.left_margin - section.right_margin
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assert shape.height < section.page_height - section.top_margin - section.bottom_margin
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assert shape.width / shape.height == pytest.approx(dimensions[0] / dimensions[1], rel=1e-5)
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