684 lines
30 KiB
Python
684 lines
30 KiB
Python
import json
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from urllib.parse import parse_qs
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import httpx
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from yuqei_sdk import (
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AiPlatformClient,
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AiQualityLabelReviewUpdate,
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AiQualityRuleConfigUpdate,
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KnowledgeDocumentCreate,
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KnowledgeImportBatchCreate,
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KnowledgeReindexRequest,
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LegalQaRequest,
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PromptTemplateCreate,
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ProviderConfigCreate,
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RequestContext,
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)
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def test_ai_platform_client_posts_legal_qa_with_context_headers() -> None:
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captured_request: httpx.Request | None = None
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def handler(request: httpx.Request) -> httpx.Response:
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nonlocal captured_request
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captured_request = request
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return httpx.Response(
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200,
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json={
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"answer": "Use Article 19 and verify the contract term.",
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"citations": [
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{
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"source_type": "law",
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"title": "Labor Contract Law",
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"reference": "Article 19 chunk-1",
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"quote": "Probation period must stay within the statutory limit.",
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"score": 0.82,
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"locator": "chunk-1",
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"document_id": "doc-1",
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"chunk_id": "chunk-1",
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"knowledge_base_id": "laws-cn",
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"keyword_score": 0.78,
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"vector_score": 0.87,
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"hybrid_score": 0.82,
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"retrieval_strategy": "hybrid",
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"matched_terms": ["probation"],
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}
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],
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"primary_sources": [
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{
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"source_type": "law",
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"title": "Labor Contract Law",
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"reference": "Article 19 chunk-1",
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"quote": "Probation period must stay within the statutory limit.",
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"score": 0.82,
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"locator": "chunk-1",
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"document_id": "doc-1",
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"chunk_id": "chunk-1",
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"knowledge_base_id": "laws-cn",
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"keyword_score": 0.78,
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"vector_score": 0.87,
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"hybrid_score": 0.82,
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"retrieval_strategy": "hybrid",
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"matched_terms": ["probation"],
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}
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],
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"confidence": 0.72,
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},
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)
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client = AiPlatformClient(
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"http://ai-platform.test",
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transport=httpx.MockTransport(handler),
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)
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response = client.run_legal_qa(
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LegalQaRequest(question="How should probation period be set?"),
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context=RequestContext(trace_id="trace-1", tenant_id="tenant-1", user_id="user-1"),
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)
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assert response.citations[0].reference == "Article 19 chunk-1"
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assert response.primary_sources[0].score == 0.82
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assert response.primary_sources[0].hybrid_score == 0.82
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assert response.primary_sources[0].retrieval_strategy == "hybrid"
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assert captured_request is not None
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assert captured_request.url.path == "/api/v1/legal/qa"
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assert captured_request.headers["X-Trace-Id"] == "trace-1"
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assert captured_request.headers["X-Tenant-Id"] == "tenant-1"
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assert captured_request.headers["X-User-Id"] == "user-1"
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def test_ai_platform_client_covers_admin_data_endpoints() -> None:
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seen_paths: list[str] = []
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def handler(request: httpx.Request) -> httpx.Response:
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seen_paths.append(request.url.path)
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if request.url.path == "/api/v1/model-configs" and request.method == "POST":
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return httpx.Response(
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200,
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json={
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"id": "provider-1",
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"provider": "deepseek",
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"model": "deepseek-chat",
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"display_name": "DeepSeek Chat",
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"base_url": None,
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"temperature": 0.1,
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"max_tokens": 4096,
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"enabled": True,
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"is_default": True,
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"updated_at": "2026-06-22T00:00:00Z",
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},
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)
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if request.url.path == "/api/v1/model-configs":
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return httpx.Response(
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200,
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json=[
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{
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"id": "provider-1",
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"provider": "deepseek",
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"model": "deepseek-chat",
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"display_name": "DeepSeek Chat",
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"base_url": None,
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"temperature": 0.1,
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"max_tokens": 4096,
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"enabled": True,
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"is_default": True,
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"updated_at": "2026-06-22T00:00:00Z",
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}
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],
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)
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if request.url.path == "/api/v1/prompt-templates" and request.method == "POST":
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return httpx.Response(
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200,
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json={
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"id": "prompt-1",
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"name": "legal_qa.default",
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"version": "v2",
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"content": "Search evidence first, then answer.",
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"enabled": True,
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"updated_at": "2026-06-22T00:00:00Z",
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},
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)
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if request.url.path == "/api/v1/prompt-templates":
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return httpx.Response(
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200,
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json=[
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{
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"id": "prompt-1",
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"name": "legal_qa.default",
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"version": "v2",
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"content": "Search evidence first, then answer.",
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"enabled": True,
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"updated_at": "2026-06-22T00:00:00Z",
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}
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],
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)
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if request.url.path == "/api/v1/quality-rules/default" and request.method == "PUT":
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payload = json.loads(request.read().decode("utf-8"))
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assert payload["min_source_count"] == 1
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return httpx.Response(
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200,
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json={
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"id": "default",
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"min_citation_count": 1,
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"min_source_count": 1,
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"high_token_threshold": 9000,
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"high_latency_ms": 12000,
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"critical_latency_ms": 24000,
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"warning_penalty": 7,
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"error_penalty": 21,
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"updated_at": "2026-06-22T00:00:00Z",
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},
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)
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if request.url.path == "/api/v1/quality-rules/default":
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return httpx.Response(
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200,
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json={
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"id": "default",
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"min_citation_count": 1,
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"min_source_count": 2,
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"high_token_threshold": 8000,
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"high_latency_ms": 15000,
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"critical_latency_ms": 30000,
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"warning_penalty": 10,
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"error_penalty": 30,
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"updated_at": "2026-06-22T00:00:00Z",
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},
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)
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if request.url.path == "/api/v1/knowledge-import-batches" and request.method == "POST":
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return httpx.Response(
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200,
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json={
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"id": "kb-batch-1",
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"knowledge_base_id": "laws-cn",
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"source_name": "civil-code-lease",
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"source_type": "law_import",
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"status": "indexed",
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"documents_count": 0,
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"chunks_count": 0,
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"created_at": "2026-06-22T00:00:00Z",
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"updated_at": "2026-06-22T00:00:00Z",
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},
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)
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if request.url.path == "/api/v1/knowledge-import-batches":
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return httpx.Response(
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200,
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json=[
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{
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"id": "kb-batch-1",
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"knowledge_base_id": "laws-cn",
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"source_name": "civil-code-lease",
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"source_type": "law_import",
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"status": "indexed",
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"documents_count": 1,
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"chunks_count": 1,
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"created_at": "2026-06-22T00:00:00Z",
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"updated_at": "2026-06-22T00:00:00Z",
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}
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],
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)
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if request.url.path == "/api/v1/knowledge-documents" and request.method == "POST":
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return httpx.Response(
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200,
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json={
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"id": "doc-1",
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"import_batch_id": "kb-batch-1",
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"knowledge_base_id": "laws-cn",
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"title": "Civil Code",
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"source_type": "law",
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"reference": "Article 703",
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"content": "A lease contract defines rent and use of leased property.",
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"index_status": "indexed",
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"created_at": "2026-06-22T00:00:00Z",
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},
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)
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if request.url.path == "/api/v1/knowledge-documents/doc-1/chunks":
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return httpx.Response(
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200,
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json=[
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{
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"id": "chunk-1",
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"document_id": "doc-1",
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"import_batch_id": "kb-batch-1",
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"knowledge_base_id": "laws-cn",
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"title": "Civil Code",
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"source_type": "law",
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"reference": "Article 703",
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"content": "A lease contract defines rent and use of leased property.",
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"chunk_index": 1,
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"locator": "chunk-1",
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"embedding_provider": "local-hash",
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"embedding_model": "local-hash-v1",
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"embedding_dimension": 64,
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"created_at": "2026-06-22T00:00:00Z",
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}
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],
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)
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if request.url.path == "/api/v1/knowledge-documents/search":
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query = parse_qs(request.url.query.decode())
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assert query["keyword"] == ["lease"]
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assert query["limit"] == ["3"]
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return httpx.Response(
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200,
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json=[
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{
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"id": "doc-1",
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"import_batch_id": "kb-batch-1",
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"knowledge_base_id": "laws-cn",
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"title": "Civil Code",
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"source_type": "law",
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"reference": "Article 703",
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"content": "A lease contract defines rent and use of leased property.",
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"index_status": "indexed",
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"created_at": "2026-06-22T00:00:00Z",
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}
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],
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)
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if request.url.path == "/api/v1/knowledge-documents/reindex":
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payload = json.loads(request.read().decode("utf-8"))
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assert payload["knowledge_base_id"] == "laws-cn"
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return httpx.Response(
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200,
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json={
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"documents_count": 1,
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"chunks_count": 1,
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"embedding_provider": "openai-compatible",
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"embedding_model": "text-embedding-prod",
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"embedding_dimension": 1536,
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"document_ids": ["doc-1"],
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},
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)
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if request.url.path == "/api/v1/knowledge-chunks/search":
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return httpx.Response(
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200,
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json=[
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{
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"chunk": {
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"id": "chunk-1",
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"document_id": "doc-1",
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"import_batch_id": "kb-batch-1",
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"knowledge_base_id": "laws-cn",
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"title": "Civil Code",
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"source_type": "law",
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"reference": "Article 703",
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"content": "A lease contract defines rent and use of leased property.",
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"chunk_index": 1,
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"locator": "chunk-1",
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"embedding_provider": "local-hash",
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"embedding_model": "local-hash-v1",
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"embedding_dimension": 64,
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"created_at": "2026-06-22T00:00:00Z",
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},
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"score": 0.82,
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"keyword_score": 0.76,
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"vector_score": 0.89,
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"hybrid_score": 0.82,
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"retrieval_strategy": "hybrid",
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"matched_terms": ["lease"],
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}
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],
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)
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if request.url.path == "/api/v1/knowledge-chunks/search/explain":
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query = parse_qs(request.url.query.decode())
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assert query["keyword"] == ["lease"]
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assert query["limit"] == ["3"]
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assert query["candidate_limit"] == ["9"]
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assert query["strategy"] == ["hybrid"]
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return httpx.Response(
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200,
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json={
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"keyword": "lease",
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"normalized_terms": ["lease"],
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"retrieval_strategy": "hybrid",
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"knowledge_base_ids": [],
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"limit": 3,
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"candidate_limit": 9,
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"candidate_count": 1,
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"included_count": 1,
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"retrieval_backend": "json-explain",
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"embedding_provider": "local-hash",
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"embedding_model": "local-hash-v1",
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"query_embedding_dimension": 64,
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"keyword_threshold": 0.0,
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"vector_threshold": 0.35,
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"hybrid_keyword_weight": 0.55,
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"hybrid_vector_weight": 0.45,
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"results": [
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{
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"chunk": {
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"id": "chunk-1",
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"document_id": "doc-1",
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"import_batch_id": "kb-batch-1",
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"knowledge_base_id": "laws-cn",
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"title": "Civil Code",
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"source_type": "law",
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"reference": "Article 703",
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"content": "A lease contract defines rent and use of leased property.",
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"chunk_index": 1,
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"locator": "chunk-1",
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"embedding_provider": "local-hash",
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"embedding_model": "local-hash-v1",
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"embedding_dimension": 64,
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"created_at": "2026-06-22T00:00:00Z",
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},
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"score": 0.82,
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"keyword_score": 0.76,
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"vector_score": 0.89,
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"hybrid_score": 0.82,
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"retrieval_strategy": "hybrid",
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"matched_terms": ["lease"],
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"included": True,
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"rank": 1,
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"filter_reason": None,
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}
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],
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},
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)
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if request.url.path == "/api/v1/audit/ai-runs":
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return httpx.Response(
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200,
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json=[
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{
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"id": "run-1",
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"operation": "legal_qa",
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"provider_config_id": "provider-1",
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"prompt_template_id": "prompt-1",
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"provider": "deepseek",
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"model": "deepseek-chat",
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"provider_status": "succeeded",
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"provider_error": None,
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"prompt_preview": "Search evidence first, then answer. Question: How should lease deposit refund be handled?",
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"question": "How should lease deposit refund be handled?",
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"answer": "The contract should clearly state deposit refund conditions.",
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"citations_count": 1,
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"retrieval_query": "How should lease deposit refund be handled?",
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"retrieval_strategy": "hybrid",
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"retrieved_chunk_ids": ["chunk-1"],
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"retrieved_sources": [
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{
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"chunk_id": "chunk-1",
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"document_id": "doc-1",
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"knowledge_base_id": "laws-cn",
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"title": "Civil Code",
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"source_type": "law",
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"reference": "Article 703",
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"locator": "chunk-1",
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"score": 0.82,
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"keyword_score": 0.76,
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"vector_score": 0.89,
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"hybrid_score": 0.82,
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"retrieval_strategy": "hybrid",
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"matched_terms": ["lease"],
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}
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],
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"prompt_tokens": 12,
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"completion_tokens": 8,
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"total_tokens": 20,
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"estimated_cost": 0.00028,
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"latency_ms": 12,
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"quality_status": "passed",
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"quality_score": 100,
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"quality_labels": [
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{
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"code": "citation_present",
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"severity": "info",
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"title": "Citation present",
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"detail": "The answer returned 1 citation.",
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"review_status": "pending",
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"review_note": None,
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"reviewed_by": None,
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"reviewed_at": None,
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}
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],
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"quality_summary": "passed: 0 error(s), 0 warning(s), score 100.",
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"status": "succeeded",
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"created_at": "2026-06-22T00:00:00Z",
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}
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],
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)
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if request.url.path == "/api/v1/audit/quality-dashboard":
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query = parse_qs(request.url.query.decode())
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assert query["days"] == ["7"]
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assert query["pending_limit"] == ["5"]
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return httpx.Response(
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200,
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json={
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"summary": {
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"days": 7,
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"total_runs": 1,
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|
"passed_runs": 1,
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"needs_review_runs": 0,
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"failed_quality_runs": 0,
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"fallback_runs": 0,
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|
"source_issue_runs": 0,
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|
"token_issue_runs": 0,
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|
"latency_issue_runs": 0,
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|
"pending_labels": 1,
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|
"pass_rate": 1.0,
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|
"fallback_rate": 0.0,
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"source_issue_rate": 0.0,
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"latency_issue_rate": 0.0,
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},
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"daily_metrics": [
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{
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"date": "2026-06-22",
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"total_runs": 1,
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"passed_runs": 1,
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"needs_review_runs": 0,
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"failed_quality_runs": 0,
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"fallback_runs": 0,
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"source_issue_runs": 0,
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"token_issue_runs": 0,
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"latency_issue_runs": 0,
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"pending_labels": 1,
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"pass_rate": 1.0,
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"fallback_rate": 0.0,
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"source_issue_rate": 0.0,
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"latency_issue_rate": 0.0,
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}
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],
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"pending_labels": [
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{
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"run_id": "run-1",
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"label_code": "citation_present",
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"severity": "info",
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"title": "Citation present",
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"detail": "The answer returned 1 citation.",
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"review_status": "pending",
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"created_at": "2026-06-22T00:00:00Z",
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"question": "How should lease deposit refund be handled?",
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"provider": "deepseek",
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"model": "deepseek-chat",
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"quality_status": "passed",
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"quality_score": 100,
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}
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],
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|
"attribution": {
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"by_model": [
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{
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"dimension": "model",
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"key": "deepseek / deepseek-chat",
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"label": "deepseek / deepseek-chat",
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"total_runs": 1,
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"affected_runs": 1,
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"warning_labels": 1,
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"error_labels": 0,
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"pending_labels": 1,
|
|
"fallback_runs": 0,
|
|
"average_quality_score": 90.0,
|
|
"top_label_codes": ["source_limited"],
|
|
"root_cause_hint": "该模型相关质量异常较集中，优先对比其他模型的回答质量和成本。",
|
|
}
|
|
],
|
|
"by_prompt_template": [],
|
|
"by_knowledge_base": [],
|
|
"by_label_code": [
|
|
{
|
|
"dimension": "label_code",
|
|
"key": "source_limited",
|
|
"label": "Source limited",
|
|
"total_runs": 1,
|
|
"affected_runs": 1,
|
|
"warning_labels": 1,
|
|
"error_labels": 0,
|
|
"pending_labels": 1,
|
|
"fallback_runs": 0,
|
|
"average_quality_score": 90.0,
|
|
"top_label_codes": ["source_limited"],
|
|
"root_cause_hint": "来源数量偏少，优先补充文档或放宽检索召回策略。",
|
|
}
|
|
],
|
|
},
|
|
},
|
|
)
|
|
if request.url.path == "/api/v1/audit/ai-runs/run-1/quality-labels/citation_present":
|
|
payload = json.loads(request.read().decode("utf-8"))
|
|
assert request.method == "PATCH"
|
|
assert payload["review_status"] == "resolved"
|
|
return httpx.Response(
|
|
200,
|
|
json={
|
|
"id": "run-1",
|
|
"operation": "legal_qa",
|
|
"provider_config_id": "provider-1",
|
|
"prompt_template_id": "prompt-1",
|
|
"provider": "deepseek",
|
|
"model": "deepseek-chat",
|
|
"provider_status": "succeeded",
|
|
"provider_error": None,
|
|
"prompt_preview": "Search evidence first, then answer. Question: How should lease deposit refund be handled?",
|
|
"question": "How should lease deposit refund be handled?",
|
|
"answer": "The contract should clearly state deposit refund conditions.",
|
|
"citations_count": 1,
|
|
"retrieval_query": "How should lease deposit refund be handled?",
|
|
"retrieval_strategy": "hybrid",
|
|
"retrieved_chunk_ids": ["chunk-1"],
|
|
"retrieved_sources": [],
|
|
"prompt_tokens": 12,
|
|
"completion_tokens": 8,
|
|
"total_tokens": 20,
|
|
"estimated_cost": 0.00028,
|
|
"latency_ms": 12,
|
|
"quality_status": "passed",
|
|
"quality_score": 100,
|
|
"quality_labels": [
|
|
{
|
|
"code": "citation_present",
|
|
"severity": "info",
|
|
"title": "Citation present",
|
|
"detail": "The answer returned 1 citation.",
|
|
"review_status": "resolved",
|
|
"review_note": "已确认依据有效。",
|
|
"reviewed_by": "admin",
|
|
"reviewed_at": "2026-06-22T00:01:00Z",
|
|
}
|
|
],
|
|
"quality_summary": "passed: 0 error(s), 0 warning(s), score 100.",
|
|
"status": "succeeded",
|
|
"created_at": "2026-06-22T00:00:00Z",
|
|
},
|
|
)
|
|
return httpx.Response(404)
|
|
|
|
client = AiPlatformClient("http://ai-platform.test", transport=httpx.MockTransport(handler))
|
|
|
|
assert client.upsert_model_config(
|
|
ProviderConfigCreate(
|
|
provider="deepseek",
|
|
model="deepseek-chat",
|
|
display_name="DeepSeek Chat",
|
|
temperature=0.1,
|
|
is_default=True,
|
|
)
|
|
).model == "deepseek-chat"
|
|
assert client.list_model_configs()[0].provider == "deepseek"
|
|
assert client.upsert_prompt_template(
|
|
PromptTemplateCreate(name="legal_qa.default", version="v2", content="Search evidence first.")
|
|
).version == "v2"
|
|
assert client.list_prompt_templates()[0].name == "legal_qa.default"
|
|
assert client.get_quality_rule_config().min_source_count == 2
|
|
assert client.upsert_quality_rule_config(
|
|
AiQualityRuleConfigUpdate(
|
|
min_citation_count=1,
|
|
min_source_count=1,
|
|
high_token_threshold=9000,
|
|
high_latency_ms=12000,
|
|
critical_latency_ms=24000,
|
|
warning_penalty=7,
|
|
error_penalty=21,
|
|
)
|
|
).warning_penalty == 7
|
|
assert client.create_knowledge_import_batch(
|
|
KnowledgeImportBatchCreate(
|
|
knowledge_base_id="laws-cn",
|
|
source_name="civil-code-lease",
|
|
source_type="law_import",
|
|
)
|
|
).id == "kb-batch-1"
|
|
assert client.list_knowledge_import_batches(knowledge_base_id="laws-cn")[0].chunks_count == 1
|
|
assert client.add_knowledge_document(
|
|
KnowledgeDocumentCreate(
|
|
import_batch_id="kb-batch-1",
|
|
knowledge_base_id="laws-cn",
|
|
title="Civil Code",
|
|
source_type="law",
|
|
reference="Article 703",
|
|
content="A lease contract defines rent and use of leased property.",
|
|
)
|
|
).reference == "Article 703"
|
|
assert client.list_knowledge_chunks("doc-1")[0].locator == "chunk-1"
|
|
assert client.list_knowledge_chunks("doc-1")[0].embedding_provider == "local-hash"
|
|
assert client.list_knowledge_chunks("doc-1")[0].embedding_model == "local-hash-v1"
|
|
assert client.search_knowledge_documents("lease", limit=3)[0].title == "Civil Code"
|
|
reindex_result = client.reindex_knowledge_documents(KnowledgeReindexRequest(knowledge_base_id="laws-cn"))
|
|
assert reindex_result.embedding_provider == "openai-compatible"
|
|
assert reindex_result.embedding_dimension == 1536
|
|
assert reindex_result.document_ids == ["doc-1"]
|
|
chunk_result = client.search_knowledge_chunks("lease", limit=3)
|
|
assert chunk_result[0].score == 0.82
|
|
assert chunk_result[0].hybrid_score == 0.82
|
|
explain = client.explain_knowledge_search("lease", limit=3, candidate_limit=9)
|
|
assert explain.embedding_provider == "local-hash"
|
|
assert explain.results[0].included is True
|
|
assert explain.results[0].rank == 1
|
|
audit = client.list_ai_run_audits(limit=5)[0]
|
|
assert audit.operation == "legal_qa"
|
|
assert audit.provider == "deepseek"
|
|
assert audit.model == "deepseek-chat"
|
|
assert audit.provider_status == "succeeded"
|
|
assert audit.provider_error is None
|
|
assert audit.prompt_preview is not None
|
|
assert "lease deposit" in audit.prompt_preview
|
|
assert audit.prompt_tokens == 12
|
|
assert audit.completion_tokens == 8
|
|
assert audit.total_tokens == 20
|
|
assert audit.estimated_cost == 0.00028
|
|
assert audit.retrieved_chunk_ids == ["chunk-1"]
|
|
assert audit.retrieved_sources[0].reference == "Article 703"
|
|
assert audit.quality_status == "passed"
|
|
assert audit.quality_score == 100
|
|
assert audit.quality_labels[0].code == "citation_present"
|
|
assert audit.quality_labels[0].review_status == "pending"
|
|
assert audit.quality_summary == "passed: 0 error(s), 0 warning(s), score 100."
|
|
dashboard = client.get_quality_dashboard(days=7, pending_limit=5)
|
|
assert dashboard.summary.pass_rate == 1.0
|
|
assert dashboard.daily_metrics[0].date == "2026-06-22"
|
|
assert dashboard.pending_labels[0].run_id == "run-1"
|
|
assert dashboard.attribution.by_model[0].key == "deepseek / deepseek-chat"
|
|
assert dashboard.attribution.by_label_code[0].top_label_codes == ["source_limited"]
|
|
assert dashboard.attribution.by_label_code[0].root_cause_hint is not None
|
|
updated_audit = client.update_ai_run_quality_label(
|
|
"run-1",
|
|
"citation_present",
|
|
AiQualityLabelReviewUpdate(
|
|
review_status="resolved",
|
|
review_note="已确认依据有效。",
|
|
reviewed_by="admin",
|
|
),
|
|
)
|
|
assert updated_audit.quality_labels[0].review_status == "resolved"
|
|
assert updated_audit.quality_labels[0].reviewed_at == "2026-06-22T00:01:00Z"
|
|
assert "/api/v1/audit/ai-runs" in seen_paths
|
|
assert "/api/v1/audit/quality-dashboard" in seen_paths
|
|
assert "/api/v1/quality-rules/default" in seen_paths
|