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ai-contract-platform/yuqei-ai-sdk-python/tests/test_ai_platform.py
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1582 lines
72 KiB
Python

import json
from urllib.parse import parse_qs
import httpx
from yuqei_sdk import (
AiPlatformClient,
AiQualityImprovementActionCreate,
AiQualityImprovementActionUpdate,
AiQualityLabelReviewUpdate,
AiQualityRuleConfigUpdate,
ContractReviewRequest,
KnowledgeDocumentCreate,
KnowledgeImportBatchCreate,
KnowledgeReindexRequest,
LegalQaRequest,
PromptTemplateCreate,
PromptTemplatePublishRequest,
PromptTemplateRollbackRequest,
ProviderConfigCreate,
ProviderConfigUpsertRequest,
RequestContext,
WorkerRunOnceRequest,
)
def test_ai_platform_client_posts_legal_qa_with_context_headers() -> None:
captured_request: httpx.Request | None = None
def handler(request: httpx.Request) -> httpx.Response:
nonlocal captured_request
captured_request = request
return httpx.Response(
200,
json={
"answer": "Use Article 19 and verify the contract term.",
"citations": [
{
"source_type": "law",
"title": "Labor Contract Law",
"reference": "Article 19 chunk-1",
"quote": "Probation period must stay within the statutory limit.",
"score": 0.82,
"locator": "chunk-1",
"document_id": "doc-1",
"chunk_id": "chunk-1",
"knowledge_base_id": "laws-cn",
"keyword_score": 0.78,
"vector_score": 0.87,
"hybrid_score": 0.82,
"retrieval_strategy": "hybrid",
"matched_terms": ["probation"],
}
],
"primary_sources": [
{
"source_type": "law",
"title": "Labor Contract Law",
"reference": "Article 19 chunk-1",
"quote": "Probation period must stay within the statutory limit.",
"score": 0.82,
"locator": "chunk-1",
"document_id": "doc-1",
"chunk_id": "chunk-1",
"knowledge_base_id": "laws-cn",
"keyword_score": 0.78,
"vector_score": 0.87,
"hybrid_score": 0.82,
"retrieval_strategy": "hybrid",
"matched_terms": ["probation"],
}
],
"confidence": 0.72,
},
)
client = AiPlatformClient(
"http://ai-platform.test",
transport=httpx.MockTransport(handler),
service_key="ai-platform-service-key", # pragma: allowlist secret
)
response = client.run_legal_qa(
LegalQaRequest(question="How should probation period be set?"),
context=RequestContext(trace_id="trace-1", tenant_id="tenant-1", user_id="user-1"),
)
assert response.citations[0].reference == "Article 19 chunk-1"
assert response.primary_sources[0].score == 0.82
assert response.primary_sources[0].hybrid_score == 0.82
assert response.primary_sources[0].retrieval_strategy == "hybrid"
assert captured_request is not None
assert captured_request.url.path == "/api/v1/legal/qa"
assert captured_request.headers["X-Trace-Id"] == "trace-1"
assert captured_request.headers["X-Tenant-Id"] == "tenant-1"
assert captured_request.headers["X-User-Id"] == "user-1"
assert captured_request.headers["X-AI-Platform-Service-Key"] == "ai-platform-service-key"
def test_ai_platform_client_posts_contract_review_with_context_headers() -> None:
captured_request: httpx.Request | None = None
def handler(request: httpx.Request) -> httpx.Response:
nonlocal captured_request
captured_request = request
return httpx.Response(
200,
json={
"summary": "The contract has payment and acceptance risks.",
"risk_level": "high",
"risk_items": [
{
"id": "risk-payment-acceptance",
"title": "Payment and acceptance should be clarified.",
"severity": "high",
"suggestion": "Clarify delivery, acceptance period and payment trigger.",
"related_clause": "Payment",
"citation_refs": ["Civil Code Article 509"],
}
],
"citations": [
{
"source_type": "law",
"title": "Civil Code",
"reference": "Article 509",
"quote": "Parties shall fully perform their obligations.",
}
],
"primary_sources": [
{
"source_type": "law",
"title": "Civil Code",
"reference": "Article 509",
"quote": "Parties shall fully perform their obligations.",
}
],
"confidence": 0.78,
"audit_run_id": "run-review-1",
},
)
client = AiPlatformClient(
"http://ai-platform.test",
transport=httpx.MockTransport(handler),
)
response = client.run_contract_review(
ContractReviewRequest(
contract_title="Technical Service Contract",
contract_text="Payment is due after acceptance.",
review_focus="payment and acceptance",
),
context=RequestContext(trace_id="trace-review", tenant_id="tenant-1", user_id="contract-api"),
)
assert response.risk_level == "high"
assert response.risk_items[0].id == "risk-payment-acceptance"
assert response.citations[0].reference == "Article 509"
assert response.audit_run_id == "run-review-1"
assert captured_request is not None
assert captured_request.url.path == "/api/v1/legal/contract-review"
assert captured_request.headers["X-Trace-Id"] == "trace-review"
assert captured_request.headers["X-Tenant-Id"] == "tenant-1"
assert captured_request.headers["X-User-Id"] == "contract-api"
def test_ai_platform_client_covers_admin_data_endpoints() -> None:
seen_paths: list[str] = []
def quality_action_payload(
*,
status: str = "open",
resolution_note: str | None = None,
resolved_at: str | None = None,
) -> dict[str, object]:
return {
"id": "qa-action-1",
"dimension": "model",
"key": "deepseek / deepseek-chat",
"label": "deepseek / deepseek-chat",
"action_type": "tune_model",
"title": "Tune model config: deepseek / deepseek-chat",
"description": "Check provider timeout and model configuration.",
"owner": "admin",
"priority": "high",
"status": status,
"source_label_codes": ["source_limited"],
"source_run_ids": ["run-1"],
"root_cause_hint": "Model quality issues are concentrated.",
"linked_prompt_template_id": "prompt-1",
"linked_prompt_template_version": "v2",
"linked_knowledge_base_id": "laws-cn",
"linked_import_batch_id": "kb-batch-1",
"evaluation_days": 7,
"baseline_total_runs": 1,
"baseline_affected_runs": 1,
"baseline_pending_labels": 1,
"baseline_quality_score": 90.0,
"current_total_runs": 1,
"current_affected_runs": 1,
"current_pending_labels": 1,
"current_quality_score": 90.0,
"post_change_total_runs": 2,
"post_change_affected_runs": 0,
"post_change_pending_labels": 0,
"post_change_quality_score": 98.0,
"post_change_affected_rate": 0.0,
"post_change_observation_days": 3,
"affected_rate_delta": 0.0,
"pending_labels_delta": 0,
"quality_score_delta": 0.0,
"post_change_affected_rate_delta": -1.0,
"post_change_pending_labels_delta": -1,
"post_change_quality_score_delta": 8.0,
"related_change_actions_count": 2,
"effect_status": "unchanged",
"effect_summary": "Baseline affected rate 100%, post-change 0% over 2 run(s); pending labels delta -1; quality score delta +8.0.",
"resolution_note": resolution_note,
"created_at": "2026-06-22T00:00:00Z",
"updated_at": "2026-06-22T00:02:00Z",
"resolved_at": resolved_at,
}
def handler(request: httpx.Request) -> httpx.Response:
seen_paths.append(request.url.path)
if request.url.path == "/api/v1/model-configs" and request.method == "POST":
payload = json.loads(request.read().decode("utf-8"))
assert payload["change_note"] == "Use production legal QA model."
return httpx.Response(
200,
json={
"id": "provider-1",
"provider": "deepseek",
"model": "deepseek-chat",
"display_name": "DeepSeek Chat",
"base_url": None,
"temperature": 0.1,
"max_tokens": 4096,
"enabled": True,
"is_default": True,
"updated_at": "2026-06-22T00:00:00Z",
},
)
if request.url.path == "/api/v1/model-configs/changes":
return httpx.Response(
200,
json=[
{
"id": "provider-change-1",
"provider_config_id": "provider-1",
"provider": "deepseek",
"model": "deepseek-chat",
"display_name": "DeepSeek Chat",
"before_config": None,
"after_config": {
"id": "provider-1",
"provider": "deepseek",
"model": "deepseek-chat",
"display_name": "DeepSeek Chat",
"base_url": None,
"temperature": 0.1,
"max_tokens": 4096,
"enabled": True,
"is_default": True,
"updated_at": "2026-06-22T00:00:00Z",
},
"changed_by": "admin",
"change_note": "Use production legal QA model.",
"created_at": "2026-06-22T00:00:00Z",
}
],
)
if request.url.path == "/api/v1/model-configs":
return httpx.Response(
200,
json=[
{
"id": "provider-1",
"provider": "deepseek",
"model": "deepseek-chat",
"display_name": "DeepSeek Chat",
"base_url": None,
"temperature": 0.1,
"max_tokens": 4096,
"enabled": True,
"is_default": True,
"updated_at": "2026-06-22T00:00:00Z",
}
],
)
if request.url.path == "/api/v1/prompt-templates" and request.method == "POST":
return httpx.Response(
200,
json={
"id": "prompt-1",
"name": "legal_qa.default",
"version": "v2",
"content": "Search evidence first, then answer.",
"enabled": True,
"status": "draft",
"rollback_from_version": None,
"published_at": None,
"updated_at": "2026-06-22T00:00:00Z",
},
)
if request.url.path == "/api/v1/prompt-templates/legal_qa.default/publish":
payload = json.loads(request.read().decode("utf-8"))
assert payload["version"] == "v2"
assert payload["changed_by"] == "admin"
return httpx.Response(
200,
json={
"id": "prompt-1",
"name": "legal_qa.default",
"version": "v2",
"content": "Search evidence first, then answer.",
"enabled": True,
"status": "published",
"rollback_from_version": None,
"published_at": "2026-06-22T00:01:00Z",
"updated_at": "2026-06-22T00:01:00Z",
},
)
if request.url.path == "/api/v1/prompt-templates/legal_qa.default/rollback":
payload = json.loads(request.read().decode("utf-8"))
assert payload["from_version"] == "v1"
return httpx.Response(
200,
json={
"id": "prompt-rollback-1",
"name": "legal_qa.default",
"version": "v1-rollback",
"content": "Use the stable prompt.",
"enabled": True,
"status": "published",
"rollback_from_version": "v1",
"published_at": "2026-06-22T00:02:00Z",
"updated_at": "2026-06-22T00:02:00Z",
},
)
if request.url.path == "/api/v1/prompt-templates/changes":
assert request.url.params["prompt_template_id"] == "prompt-1"
return httpx.Response(
200,
json=[
{
"id": "prompt-change-1",
"prompt_template_id": "prompt-1",
"name": "legal_qa.default",
"version": "v2",
"operation": "publish",
"before_template": None,
"after_template": {
"id": "prompt-1",
"name": "legal_qa.default",
"version": "v2",
"content": "Search evidence first, then answer.",
"enabled": True,
"status": "published",
"rollback_from_version": None,
"published_at": "2026-06-22T00:01:00Z",
"updated_at": "2026-06-22T00:01:00Z",
},
"changed_by": "admin",
"change_note": "Publish prompt for quality action.",
"created_at": "2026-06-22T00:01:00Z",
}
],
)
if request.url.path == "/api/v1/prompt-templates":
return httpx.Response(
200,
json=[
{
"id": "prompt-1",
"name": "legal_qa.default",
"version": "v2",
"content": "Search evidence first, then answer.",
"enabled": True,
"status": "published",
"rollback_from_version": None,
"published_at": "2026-06-22T00:01:00Z",
"updated_at": "2026-06-22T00:00:00Z",
}
],
)
if request.url.path == "/api/v1/quality-rules/default" and request.method == "PUT":
payload = json.loads(request.read().decode("utf-8"))
assert payload["min_source_count"] == 1
return httpx.Response(
200,
json={
"id": "default",
"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,
"updated_at": "2026-06-22T00:00:00Z",
},
)
if request.url.path == "/api/v1/quality-rules/default":
return httpx.Response(
200,
json={
"id": "default",
"min_citation_count": 1,
"min_source_count": 2,
"high_token_threshold": 8000,
"high_latency_ms": 15000,
"critical_latency_ms": 30000,
"warning_penalty": 10,
"error_penalty": 30,
"updated_at": "2026-06-22T00:00:00Z",
},
)
if request.url.path == "/api/v1/runtime/worker-health":
return httpx.Response(
200,
json={
"status": "ok",
"queue_counts": {"queued": 1, "running": 0, "succeeded": 2, "failed": 0},
"workers": [
{
"worker_name": "knowledge-worker-1",
"status": "ok",
"queue_name": "yuqei-v2",
"processed": 3,
"succeeded": 2,
"failed": 0,
"error_message": None,
"updated_at": "2026-06-22T00:00:00Z",
}
],
"stale_running_jobs": 0,
"checked_at": "2026-06-22T00:00:01Z",
},
)
if request.url.path == "/api/v1/runtime/worker-runs/run-once":
payload = json.loads(request.read().decode("utf-8"))
assert payload["limit"] == 1
assert payload["worker_name"] == "manual-sdk-worker"
assert payload["triggered_by"] == "admin"
return httpx.Response(
200,
json={
"id": "worker-run-1",
"worker_name": "manual-sdk-worker",
"trigger_type": "manual",
"triggered_by": "admin",
"queue_name": "manual",
"status": "succeeded",
"limit": 1,
"processed": 1,
"succeeded": 1,
"failed": 0,
"error_message": None,
"duration_ms": 15,
"started_at": "2026-06-22T00:00:02Z",
"completed_at": "2026-06-22T00:00:03Z",
},
)
if request.url.path == "/api/v1/runtime/worker-runs":
assert request.url.params["limit"] == "5"
return httpx.Response(
200,
json=[
{
"id": "worker-run-1",
"worker_name": "manual-sdk-worker",
"trigger_type": "manual",
"triggered_by": "admin",
"queue_name": "manual",
"status": "succeeded",
"limit": 1,
"processed": 1,
"succeeded": 1,
"failed": 0,
"error_message": None,
"duration_ms": 15,
"started_at": "2026-06-22T00:00:02Z",
"completed_at": "2026-06-22T00:00:03Z",
}
],
)
if request.url.path == "/api/v1/knowledge-import-batches" and request.method == "POST":
return httpx.Response(
200,
json={
"id": "kb-batch-1",
"knowledge_base_id": "laws-cn",
"source_name": "civil-code-lease",
"source_type": "law_import",
"status": "indexed",
"documents_count": 0,
"chunks_count": 0,
"created_at": "2026-06-22T00:00:00Z",
"updated_at": "2026-06-22T00:00:00Z",
},
)
if request.url.path == "/api/v1/knowledge-bases/laws-cn/documents" and request.method == "POST":
body = request.read()
assert b'filename="lease.md"' in body
assert b"Deposit refund rules" in body
assert request.headers["X-Trace-Id"] == "trace-upload"
return httpx.Response(
202,
json={
"id": "ingest-upload-1",
"knowledge_base_id": "laws-cn",
"source_name": "lease.md",
"source_type": "file_upload",
"status": "queued",
"parse_status": "pending",
"ocr_status": "not_required",
"import_batch_id": None,
"document_id": None,
"title": "Lease Upload",
"reference": "lease.md",
"mime_type": "text/markdown",
"file_size_bytes": 43,
"storage_backend": "local",
"storage_bucket": "ai-platform-uploads",
"storage_object_key": "knowledge-ingestion/test.md",
"documents_count": 0,
"chunks_count": 0,
"retry_count": 0,
"max_retries": 3,
"error_message": None,
"worker_name": None,
"idempotency_key": None,
"created_at": "2026-06-22T00:03:00Z",
"updated_at": "2026-06-22T00:03:00Z",
"started_at": None,
"completed_at": None,
},
)
if request.url.path == "/api/v1/knowledge-ingestion-jobs" and request.method == "GET":
assert request.url.params["knowledge_base_id"] == "laws-cn"
assert request.url.params["status"] == "queued"
return httpx.Response(
200,
json=[
{
"id": "ingest-upload-1",
"knowledge_base_id": "laws-cn",
"source_name": "lease.md",
"source_type": "file_upload",
"status": "queued",
"parse_status": "pending",
"ocr_status": "not_required",
"import_batch_id": None,
"document_id": None,
"title": "Lease Upload",
"reference": "lease.md",
"mime_type": "text/markdown",
"file_size_bytes": 43,
"storage_backend": "local",
"storage_bucket": "ai-platform-uploads",
"storage_object_key": "knowledge-ingestion/test.md",
"documents_count": 0,
"chunks_count": 0,
"retry_count": 0,
"max_retries": 3,
"error_message": None,
"worker_name": None,
"idempotency_key": None,
"created_at": "2026-06-22T00:03:00Z",
"updated_at": "2026-06-22T00:03:00Z",
"started_at": None,
"completed_at": None,
}
],
)
if request.url.path == "/api/v1/knowledge-ingestion-jobs/ingest-upload-1/retry":
assert request.url.params["triggered_by"] == "admin"
return httpx.Response(
200,
json={
"id": "ingest-upload-1",
"knowledge_base_id": "laws-cn",
"source_name": "lease.md",
"source_type": "file_upload",
"status": "queued",
"parse_status": "pending",
"ocr_status": "not_required",
"import_batch_id": None,
"document_id": None,
"title": "Lease Upload",
"reference": "lease.md",
"mime_type": "text/markdown",
"file_size_bytes": 43,
"storage_backend": "local",
"storage_bucket": "ai-platform-uploads",
"storage_object_key": "knowledge-ingestion/test.md",
"documents_count": 0,
"chunks_count": 0,
"retry_count": 1,
"max_retries": 3,
"error_message": None,
"worker_name": "admin",
"idempotency_key": None,
"created_at": "2026-06-22T00:03:00Z",
"updated_at": "2026-06-22T00:04:00Z",
"started_at": None,
"completed_at": None,
},
)
if request.url.path == "/api/v1/knowledge-import-batches":
return httpx.Response(
200,
json=[
{
"id": "kb-batch-1",
"knowledge_base_id": "laws-cn",
"source_name": "civil-code-lease",
"source_type": "law_import",
"status": "indexed",
"documents_count": 1,
"chunks_count": 1,
"created_at": "2026-06-22T00:00:00Z",
"updated_at": "2026-06-22T00:00:00Z",
}
],
)
if request.url.path == "/api/v1/knowledge-import-batches/kb-batch-1":
return httpx.Response(
200,
json={
"batch": {
"id": "kb-batch-1",
"knowledge_base_id": "laws-cn",
"source_name": "civil-code-lease",
"source_type": "law_import",
"status": "indexed",
"documents_count": 1,
"chunks_count": 1,
"created_at": "2026-06-22T00:00:00Z",
"updated_at": "2026-06-22T00:00:00Z",
},
"documents": [
{
"id": "doc-1",
"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.",
"index_status": "indexed",
"created_at": "2026-06-22T00:00:00Z",
}
],
"chunks": [
{
"id": "chunk-1",
"document_id": "doc-1",
"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.",
"chunk_index": 1,
"locator": "chunk-1",
"embedding_provider": "local-hash",
"embedding_model": "local-hash-v1",
"embedding_dimension": 64,
"created_at": "2026-06-22T00:00:00Z",
}
],
},
)
if request.url.path == "/api/v1/knowledge-import-batches/kb-batch-1/documents":
return httpx.Response(
200,
json=[
{
"id": "doc-1",
"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.",
"index_status": "indexed",
"created_at": "2026-06-22T00:00:00Z",
}
],
)
if request.url.path == "/api/v1/knowledge-import-batches/kb-batch-1/chunks":
return httpx.Response(
200,
json=[
{
"id": "chunk-1",
"document_id": "doc-1",
"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.",
"chunk_index": 1,
"locator": "chunk-1",
"embedding_provider": "local-hash",
"embedding_model": "local-hash-v1",
"embedding_dimension": 64,
"created_at": "2026-06-22T00:00:00Z",
}
],
)
if request.url.path == "/api/v1/knowledge-import-batches/kb-batch-1/reindex":
return httpx.Response(
200,
json={
"documents_count": 1,
"chunks_count": 1,
"embedding_provider": "openai-compatible",
"embedding_model": "text-embedding-prod",
"embedding_dimension": 1536,
"document_ids": ["doc-1"],
},
)
if request.url.path == "/api/v1/knowledge-documents" and request.method == "POST":
return httpx.Response(
200,
json={
"id": "doc-1",
"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.",
"index_status": "indexed",
"created_at": "2026-06-22T00:00:00Z",
},
)
if request.url.path == "/api/v1/knowledge-documents/doc-1/chunks":
return httpx.Response(
200,
json=[
{
"id": "chunk-1",
"document_id": "doc-1",
"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.",
"chunk_index": 1,
"locator": "chunk-1",
"embedding_provider": "local-hash",
"embedding_model": "local-hash-v1",
"embedding_dimension": 64,
"created_at": "2026-06-22T00:00:00Z",
}
],
)
if request.url.path == "/api/v1/knowledge-documents/search":
query = parse_qs(request.url.query.decode())
assert query["keyword"] == ["lease"]
assert query["limit"] == ["3"]
return httpx.Response(
200,
json=[
{
"id": "doc-1",
"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.",
"index_status": "indexed",
"created_at": "2026-06-22T00:00:00Z",
}
],
)
if request.url.path == "/api/v1/knowledge-documents/reindex":
payload = json.loads(request.read().decode("utf-8"))
assert payload["knowledge_base_id"] == "laws-cn"
assert payload["triggered_by"] == "admin"
return httpx.Response(
200,
json={
"documents_count": 1,
"chunks_count": 1,
"embedding_provider": "openai-compatible",
"embedding_model": "text-embedding-prod",
"embedding_dimension": 1536,
"document_ids": ["doc-1"],
},
)
if request.url.path == "/api/v1/knowledge-chunks/search":
return httpx.Response(
200,
json=[
{
"chunk": {
"id": "chunk-1",
"document_id": "doc-1",
"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.",
"chunk_index": 1,
"locator": "chunk-1",
"embedding_provider": "local-hash",
"embedding_model": "local-hash-v1",
"embedding_dimension": 64,
"created_at": "2026-06-22T00:00:00Z",
},
"score": 0.82,
"keyword_score": 0.76,
"vector_score": 0.89,
"hybrid_score": 0.82,
"retrieval_strategy": "hybrid",
"matched_terms": ["lease"],
}
],
)
if request.url.path == "/api/v1/knowledge-chunks/search/explain":
query = parse_qs(request.url.query.decode())
assert query["keyword"] == ["lease"]
assert query["limit"] == ["3"]
assert query["candidate_limit"] == ["9"]
assert query["strategy"] == ["hybrid"]
return httpx.Response(
200,
json={
"keyword": "lease",
"normalized_terms": ["lease"],
"retrieval_strategy": "hybrid",
"knowledge_base_ids": [],
"limit": 3,
"candidate_limit": 9,
"candidate_count": 1,
"included_count": 1,
"retrieval_backend": "json-explain",
"embedding_provider": "local-hash",
"embedding_model": "local-hash-v1",
"query_embedding_dimension": 64,
"keyword_threshold": 0.0,
"vector_threshold": 0.35,
"hybrid_keyword_weight": 0.55,
"hybrid_vector_weight": 0.45,
"results": [
{
"chunk": {
"id": "chunk-1",
"document_id": "doc-1",
"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.",
"chunk_index": 1,
"locator": "chunk-1",
"embedding_provider": "local-hash",
"embedding_model": "local-hash-v1",
"embedding_dimension": 64,
"created_at": "2026-06-22T00:00:00Z",
},
"score": 0.82,
"keyword_score": 0.76,
"vector_score": 0.89,
"hybrid_score": 0.82,
"retrieval_strategy": "hybrid",
"matched_terms": ["lease"],
"included": True,
"rank": 1,
"filter_reason": None,
}
],
},
)
if request.url.path == "/api/v1/audit/ai-runs":
assert request.url.params.get("archive_status") == "archived"
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": [
{
"chunk_id": "chunk-1",
"document_id": "doc-1",
"knowledge_base_id": "laws-cn",
"title": "Civil Code",
"source_type": "law",
"reference": "Article 703",
"locator": "chunk-1",
"score": 0.82,
"keyword_score": 0.76,
"vector_score": 0.89,
"hybrid_score": 0.82,
"retrieval_strategy": "hybrid",
"matched_terms": ["lease"],
}
],
"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": "pending",
"review_note": None,
"reviewed_by": None,
"reviewed_at": None,
}
],
"quality_summary": "passed: 0 error(s), 0 warning(s), score 100.",
"redaction_status": "redacted",
"redaction_policy": "default",
"retention_until": "2026-06-30T00:00:00Z",
"archive_status": "archived",
"archived_at": "2026-07-01T00:00:00Z",
"status": "succeeded",
"created_at": "2026-06-22T00:00:00Z",
}
],
)
if request.url.path == "/api/v1/audit/ai-runs/run-1":
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": [
{
"chunk_id": "chunk-1",
"document_id": "doc-1",
"knowledge_base_id": "laws-cn",
"title": "Civil Code",
"source_type": "law",
"reference": "Article 703",
"locator": "chunk-1",
"score": 0.82,
"keyword_score": 0.76,
"vector_score": 0.89,
"hybrid_score": 0.82,
"retrieval_strategy": "hybrid",
"matched_terms": ["lease"],
}
],
"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": "pending",
"review_note": None,
"reviewed_by": None,
"reviewed_at": None,
}
],
"quality_summary": "passed: 0 error(s), 0 warning(s), score 100.",
"status": "succeeded",
"created_at": "2026-06-22T00:00:00Z",
},
)
if request.url.path == "/api/v1/audit/quality-dashboard":
query = parse_qs(request.url.query.decode())
assert query["days"] == ["7"]
assert query["pending_limit"] == ["5"]
return httpx.Response(
200,
json={
"summary": {
"days": 7,
"total_runs": 1,
"passed_runs": 1,
"needs_review_runs": 0,
"failed_quality_runs": 0,
"fallback_runs": 0,
"source_issue_runs": 0,
"token_issue_runs": 0,
"latency_issue_runs": 0,
"pending_labels": 1,
"pass_rate": 1.0,
"fallback_rate": 0.0,
"source_issue_rate": 0.0,
"latency_issue_rate": 0.0,
},
"daily_metrics": [
{
"date": "2026-06-22",
"total_runs": 1,
"passed_runs": 1,
"needs_review_runs": 0,
"failed_quality_runs": 0,
"fallback_runs": 0,
"source_issue_runs": 0,
"token_issue_runs": 0,
"latency_issue_runs": 0,
"pending_labels": 1,
"pass_rate": 1.0,
"fallback_rate": 0.0,
"source_issue_rate": 0.0,
"latency_issue_rate": 0.0,
}
],
"pending_labels": [
{
"run_id": "run-1",
"label_code": "citation_present",
"severity": "info",
"title": "Citation present",
"detail": "The answer returned 1 citation.",
"review_status": "pending",
"created_at": "2026-06-22T00:00:00Z",
"question": "How should lease deposit refund be handled?",
"provider": "deepseek",
"model": "deepseek-chat",
"quality_status": "passed",
"quality_score": 100,
}
],
"attribution": {
"by_model": [
{
"dimension": "model",
"key": "deepseek / deepseek-chat",
"label": "deepseek / deepseek-chat",
"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": "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。",
}
],
},
"improvement_actions": [quality_action_payload()],
},
)
if request.url.path == "/api/v1/audit/quality-improvement-actions" and request.method == "POST":
payload = json.loads(request.read().decode("utf-8"))
assert payload["dimension"] == "model"
assert payload["action_type"] == "tune_model"
assert payload["source_label_codes"] == ["source_limited"]
assert payload["linked_prompt_template_id"] == "prompt-1"
return httpx.Response(200, json=quality_action_payload())
if request.url.path == "/api/v1/audit/quality-improvement-actions":
query = parse_qs(request.url.query.decode())
assert query["status"] == ["open"]
assert query["owner"] == ["admin"]
assert query["priority"] == ["high"]
assert query["action_type"] == ["tune_model"]
assert query["dimension"] == ["model"]
assert query["limit"] == ["5"]
return httpx.Response(200, json=[quality_action_payload()])
if request.url.path == "/api/v1/audit/quality-improvement-actions/qa-action-1" and request.method == "GET":
return httpx.Response(200, json=quality_action_payload())
if request.url.path == "/api/v1/audit/quality-improvement-actions/qa-action-1/executions":
return httpx.Response(
200,
json={
"action_id": "qa-action-1",
"model_config_changes": [
{
"id": "provider-change-1",
"provider_config_id": "provider-1",
"provider": "deepseek",
"model": "deepseek-chat",
"display_name": "DeepSeek Chat",
"before_config": None,
"after_config": {
"id": "provider-1",
"provider": "deepseek",
"model": "deepseek-chat",
"display_name": "DeepSeek Chat",
"base_url": None,
"temperature": 0.1,
"max_tokens": 4096,
"enabled": True,
"is_default": True,
"updated_at": "2026-06-22T00:00:00Z",
},
"changed_by": "admin",
"change_note": "Use production legal QA model.",
"created_at": "2026-06-22T00:00:00Z",
}
],
"prompt_template_changes": [
{
"id": "prompt-change-1",
"prompt_template_id": "prompt-1",
"name": "legal_qa.default",
"version": "v2",
"operation": "publish",
"before_template": None,
"after_template": {
"id": "prompt-1",
"name": "legal_qa.default",
"version": "v2",
"content": "Search evidence first, then answer.",
"enabled": True,
"status": "published",
"rollback_from_version": None,
"published_at": "2026-06-22T00:01:00Z",
"updated_at": "2026-06-22T00:01:00Z",
},
"changed_by": "admin",
"change_note": "Publish prompt for quality action.",
"created_at": "2026-06-22T00:01:00Z",
}
],
"knowledge_ingestion_jobs": [
{
"id": "ingest-upload-1",
"knowledge_base_id": "laws-cn",
"source_name": "lease.md",
"source_type": "file_upload",
"status": "succeeded",
"parse_status": "parsed",
"ocr_status": "not_required",
"import_batch_id": "kb-batch-1",
"document_id": "doc-1",
"documents_count": 1,
"chunks_count": 1,
"retry_count": 0,
"max_retries": 3,
"error_message": None,
"worker_name": "api-sync-ingest",
"idempotency_key": None,
"created_at": "2026-06-22T00:02:00Z",
"updated_at": "2026-06-22T00:02:00Z",
"started_at": "2026-06-22T00:02:00Z",
"completed_at": "2026-06-22T00:02:00Z",
}
],
"knowledge_reindex_executions": [
{
"id": "reindex-1",
"document_id": None,
"knowledge_base_id": "laws-cn",
"import_batch_id": "kb-batch-1",
"documents_count": 1,
"chunks_count": 1,
"embedding_provider": "openai-compatible",
"embedding_model": "text-embedding-prod",
"embedding_dimension": 1536,
"document_ids": ["doc-1"],
"status": "succeeded",
"triggered_by": "admin",
"execution_note": "Rebuild index for quality action.",
"created_at": "2026-06-22T00:03:00Z",
}
],
"related_trace_runs": [
{
"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": [],
"quality_summary": "passed: 0 error(s), 0 warning(s), score 100.",
"status": "succeeded",
"created_at": "2026-06-22T00:00:00Z",
}
],
"impacted_trace_runs": [
{
"run_id": "run-2",
"operation": "legal_qa",
"provider": "deepseek",
"model": "deepseek-chat",
"quality_status": "passed",
"quality_score": 96,
"matched_label_codes": [],
"issue_label_codes": [],
"pending_label_codes": [],
"created_at": "2026-06-22T00:06:00Z",
}
],
"effect_breakdown": [
{
"label_code": "missing_citation",
"current_total_runs": 3,
"current_affected_runs": 1,
"current_pending_labels": 1,
"current_affected_rate": 0.3333,
"post_change_total_runs": 1,
"post_change_affected_runs": 0,
"post_change_pending_labels": 0,
"post_change_affected_rate": 0,
"affected_rate_delta": -0.3333,
"pending_labels_delta": -1,
}
],
},
)
if request.url.path == "/api/v1/audit/quality-improvement-actions/qa-action-1" and request.method == "PATCH":
payload = json.loads(request.read().decode("utf-8"))
assert payload["status"] == "resolved"
assert payload["resolution_note"] == "Provider config was tuned."
assert payload["linked_import_batch_id"] == "kb-batch-2"
return httpx.Response(
200,
json=quality_action_payload(
status="resolved",
resolution_note="Provider config was tuned.",
resolved_at="2026-06-22T00:05:00Z",
),
)
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(
ProviderConfigUpsertRequest(
provider="deepseek",
model="deepseek-chat",
display_name="DeepSeek Chat",
temperature=0.1,
is_default=True,
changed_by="admin",
change_note="Use production legal QA model.",
)
).model == "deepseek-chat"
assert client.list_model_configs()[0].provider == "deepseek"
model_changes = client.list_model_config_changes(provider_config_id="provider-1")
assert model_changes[0].after_config.model == "deepseek-chat"
assert model_changes[0].change_note == "Use production legal QA model."
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.publish_prompt_template(
"legal_qa.default",
PromptTemplatePublishRequest(
version="v2",
changed_by="admin",
change_note="Publish prompt for quality action.",
),
).status == "published"
prompt_changes = client.list_prompt_template_changes(prompt_template_id="prompt-1")
assert prompt_changes[0].id == "prompt-change-1"
assert prompt_changes[0].after_template.status == "published"
rolled_back_prompt = client.rollback_prompt_template(
"legal_qa.default",
PromptTemplateRollbackRequest(from_version="v1", target_version="v1-rollback"),
)
assert rolled_back_prompt.version == "v1-rollback"
assert rolled_back_prompt.rollback_from_version == "v1"
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
runtime_health = client.get_worker_runtime_health()
assert runtime_health.status == "ok"
assert runtime_health.queue_counts["queued"] == 1
assert runtime_health.workers[0].worker_name == "knowledge-worker-1"
manual_run = client.run_worker_once(
WorkerRunOnceRequest(limit=1, worker_name="manual-sdk-worker", triggered_by="admin")
)
assert manual_run.id == "worker-run-1"
assert manual_run.processed == 1
assert manual_run.succeeded == 1
assert client.list_worker_run_executions(limit=5)[0].worker_name == "manual-sdk-worker"
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"
upload_result = client.upload_knowledge_document(
knowledge_base_id="laws-cn",
filename="lease.md",
content=b"Deposit refund rules must be written clearly.",
title="Lease Upload",
reference="lease.md",
context=RequestContext(trace_id="trace-upload"),
)
assert upload_result.id == "ingest-upload-1"
assert upload_result.status == "queued"
assert upload_result.parse_status == "pending"
assert upload_result.title == "Lease Upload"
assert upload_result.storage_object_key == "knowledge-ingestion/test.md"
ingestion_jobs = client.list_knowledge_ingestion_jobs(knowledge_base_id="laws-cn", status="queued")
assert ingestion_jobs[0].id == "ingest-upload-1"
assert ingestion_jobs[0].storage_bucket == "ai-platform-uploads"
assert client.retry_knowledge_ingestion_job("ingest-upload-1", triggered_by="admin").retry_count == 1
assert client.list_knowledge_import_batches(knowledge_base_id="laws-cn")[0].chunks_count == 1
batch_detail = client.get_knowledge_import_batch_detail("kb-batch-1")
assert batch_detail.batch.id == "kb-batch-1"
assert batch_detail.documents[0].id == "doc-1"
assert batch_detail.chunks[0].id == "chunk-1"
assert client.list_knowledge_import_batch_documents("kb-batch-1")[0].title == "Civil Code"
assert client.list_knowledge_import_batch_chunks("kb-batch-1")[0].locator == "chunk-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",
triggered_by="admin",
execution_note="Rebuild index for quality action.",
)
)
assert reindex_result.embedding_provider == "openai-compatible"
assert reindex_result.embedding_dimension == 1536
assert reindex_result.document_ids == ["doc-1"]
batch_reindex_result = client.reindex_knowledge_import_batch("kb-batch-1")
assert batch_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, archive_status="archived")[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."
assert audit.redaction_status == "redacted"
assert audit.redaction_policy == "default"
assert audit.archive_status == "archived"
assert audit.archived_at == "2026-07-01T00:00:00Z"
audit_detail = client.get_ai_run_audit("run-1")
assert audit_detail.id == "run-1"
assert audit_detail.retrieved_sources[0].hybrid_score == 0.82
assert audit_detail.quality_labels[0].code == "citation_present"
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
assert dashboard.improvement_actions[0].id == "qa-action-1"
created_action = client.create_quality_improvement_action(
AiQualityImprovementActionCreate(
dimension="model",
key="deepseek / deepseek-chat",
label="deepseek / deepseek-chat",
action_type="tune_model",
description="Check provider timeout and model configuration.",
owner="admin",
priority="high",
source_label_codes=["source_limited"],
source_run_ids=["run-1"],
linked_prompt_template_id="prompt-1",
evaluation_days=7,
)
)
assert created_action.status == "open"
assert created_action.linked_prompt_template_id == "prompt-1"
assert created_action.linked_import_batch_id == "kb-batch-1"
assert created_action.baseline_affected_runs == 1
assert created_action.effect_status == "unchanged"
assert created_action.post_change_total_runs == 2
assert created_action.related_change_actions_count == 2
listed_actions = client.list_quality_improvement_actions(
status="open",
owner="admin",
priority="high",
action_type="tune_model",
dimension="model",
limit=5,
)
assert listed_actions[0].id == "qa-action-1"
assert listed_actions[0].effect_summary is not None
action_detail = client.get_quality_improvement_action("qa-action-1")
assert action_detail.id == "qa-action-1"
assert action_detail.source_run_ids == ["run-1"]
assert action_detail.effect_summary is not None
action_executions = client.get_quality_improvement_action_executions("qa-action-1")
assert action_executions.model_config_changes[0].after_config.model == "deepseek-chat"
assert action_executions.prompt_template_changes[0].version == "v2"
assert action_executions.knowledge_ingestion_jobs[0].id == "ingest-upload-1"
assert action_executions.knowledge_reindex_executions[0].import_batch_id == "kb-batch-1"
assert action_executions.related_trace_runs[0].id == "run-1"
assert action_executions.impacted_trace_runs[0].run_id == "run-2"
assert action_executions.effect_breakdown[0].label_code == "missing_citation"
assert action_executions.effect_breakdown[0].affected_rate_delta < 0
updated_action = client.update_quality_improvement_action(
"qa-action-1",
AiQualityImprovementActionUpdate(
status="resolved",
resolution_note="Provider config was tuned.",
linked_import_batch_id="kb-batch-2",
),
)
assert updated_action.status == "resolved"
assert updated_action.resolved_at == "2026-06-22T00:05:00Z"
assert updated_action.post_change_total_runs == 2
assert updated_action.effect_summary and "post-change" in updated_action.effect_summary
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/ai-runs/run-1" in seen_paths
assert "/api/v1/audit/quality-dashboard" in seen_paths
assert "/api/v1/audit/quality-improvement-actions" in seen_paths
assert "/api/v1/audit/quality-improvement-actions/qa-action-1" in seen_paths
assert "/api/v1/audit/quality-improvement-actions/qa-action-1/executions" in seen_paths
assert "/api/v1/quality-rules/default" in seen_paths