feat: Add batch metadata management API endpoints
Implements comprehensive batch metadata operations to make metadata management easier for developers who previously could only edit metadata one file at a time. New API Endpoints: 1. POST /api/v1/document/batch_set_meta - Update metadata for multiple documents at once - Supports partial success (some docs succeed, others fail) - Returns detailed per-document results 2. POST /api/v1/document/get_meta - Retrieve metadata for a single document - Returns doc ID, name, and metadata fields 3. POST /api/v1/document/batch_get_meta - Retrieve metadata for multiple documents - Returns metadata for all accessible documents - Handles authorization and errors per document 4. POST /api/v1/document/list_metadata_fields - List all unique metadata field names in a knowledge base - Shows field types, example values, and usage count - Helps discover existing metadata schema Features: - Batch operations reduce API calls and improve UX - Proper authorization checks for each document - Type validation (str, int, float only) - Partial success handling (continues on errors) - Metadata field discovery for KB-wide analysis - Comprehensive error handling and reporting Test Coverage: ✅ 10/10 unit tests passing - Request validation - Type checking - Response structure validation - Authorization logic - Partial success handling - JSON parsing - Field type tracking Benefits: - Batch update 100s of documents in one API call - Discover metadata schema across entire KB - Better error handling with per-document results - Maintains backward compatibility with existing /set_meta Fixes #11564
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hsparks.codes
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4870d42949
commit
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2 changed files with 446 additions and 0 deletions
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@ -718,6 +718,227 @@ async def set_meta():
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return server_error_response(e)
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@manager.route("/batch_set_meta", methods=["POST"]) # noqa: F821
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@login_required
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@validate_request("doc_ids", "meta")
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async def batch_set_meta():
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"""
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Batch update metadata for multiple documents.
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Request body:
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{
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"doc_ids": ["doc_id_1", "doc_id_2", ...],
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"meta": {"key1": "value1", "key2": 123}
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}
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"""
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req = await get_request_json()
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doc_ids = req.get("doc_ids", [])
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if not isinstance(doc_ids, list) or not doc_ids:
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return get_json_result(
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data=False,
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message="doc_ids must be a non-empty list",
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code=RetCode.ARGUMENT_ERROR
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)
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# Parse and validate metadata
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try:
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meta = json.loads(req["meta"]) if isinstance(req["meta"], str) else req["meta"]
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if not isinstance(meta, dict):
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return get_json_result(
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data=False,
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message="Only dictionary type supported.",
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code=RetCode.ARGUMENT_ERROR
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)
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for k, v in meta.items():
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if not isinstance(v, (str, int, float)):
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return get_json_result(
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data=False,
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message=f"The type is not supported: {v}",
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code=RetCode.ARGUMENT_ERROR
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)
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except Exception as e:
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return get_json_result(
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data=False,
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message=f"Json syntax error: {e}",
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code=RetCode.ARGUMENT_ERROR
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)
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# Process each document
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results = {}
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success_count = 0
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for doc_id in doc_ids:
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try:
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# Check authorization
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if not DocumentService.accessible(doc_id, current_user.id):
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results[doc_id] = {"success": False, "error": "No authorization"}
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continue
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# Check if document exists
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e, doc = DocumentService.get_by_id(doc_id)
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if not e:
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results[doc_id] = {"success": False, "error": "Document not found"}
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continue
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# Update metadata
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if DocumentService.update_by_id(doc_id, {"meta_fields": meta}):
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results[doc_id] = {"success": True}
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success_count += 1
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else:
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results[doc_id] = {"success": False, "error": "Database error"}
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except Exception as e:
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results[doc_id] = {"success": False, "error": str(e)}
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return get_json_result(
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data={
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"results": results,
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"total": len(doc_ids),
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"success": success_count,
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"failed": len(doc_ids) - success_count
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}
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)
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@manager.route("/get_meta", methods=["POST"]) # noqa: F821
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@login_required
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@validate_request("doc_id")
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async def get_meta():
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"""Get metadata for a single document."""
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req = await get_request_json()
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if not DocumentService.accessible(req["doc_id"], current_user.id):
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return get_json_result(
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data=False,
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message="No authorization.",
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code=RetCode.AUTHENTICATION_ERROR
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)
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try:
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e, doc = DocumentService.get_by_id(req["doc_id"])
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if not e:
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return get_data_error_result(message="Document not found!")
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return get_json_result(data={
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"doc_id": doc.id,
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"doc_name": doc.name,
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"meta": doc.meta_fields or {}
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})
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except Exception as e:
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return server_error_response(e)
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@manager.route("/batch_get_meta", methods=["POST"]) # noqa: F821
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@login_required
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@validate_request("doc_ids")
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async def batch_get_meta():
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"""
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Batch retrieve metadata for multiple documents.
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Request body:
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{
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"doc_ids": ["doc_id_1", "doc_id_2", ...]
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}
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"""
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req = await get_request_json()
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doc_ids = req.get("doc_ids", [])
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if not isinstance(doc_ids, list) or not doc_ids:
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return get_json_result(
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data=False,
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message="doc_ids must be a non-empty list",
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code=RetCode.ARGUMENT_ERROR
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)
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results = {}
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for doc_id in doc_ids:
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try:
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if not DocumentService.accessible(doc_id, current_user.id):
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results[doc_id] = {"error": "No authorization"}
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continue
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e, doc = DocumentService.get_by_id(doc_id)
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if not e:
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results[doc_id] = {"error": "Document not found"}
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continue
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results[doc_id] = {
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"doc_name": doc.name,
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"meta": doc.meta_fields or {},
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"kb_id": doc.kb_id
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}
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except Exception as e:
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results[doc_id] = {"error": str(e)}
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return get_json_result(data=results)
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@manager.route("/list_metadata_fields", methods=["POST"]) # noqa: F821
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@login_required
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@validate_request("kb_id")
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async def list_metadata_fields():
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"""
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List all unique metadata field names and their value types across documents in a KB.
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Request body:
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{
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"kb_id": "kb_id_123"
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}
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"""
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req = await get_request_json()
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kb_id = req.get("kb_id")
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try:
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# Check KB access
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e, kb = KnowledgebaseService.get_by_id(kb_id)
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if not e:
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return get_data_error_result(message="Knowledgebase not found!")
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if not check_kb_team_permission(kb, current_user.id):
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return get_json_result(
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data=False,
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message="No authorization.",
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code=RetCode.AUTHENTICATION_ERROR
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)
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# Get all documents in KB
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docs = DocumentService.query(kb_id=kb_id)
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# Collect all metadata fields and their types
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metadata_fields = {}
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for doc in docs:
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if not doc.meta_fields:
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continue
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for key, value in doc.meta_fields.items():
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value_type = type(value).__name__
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if key not in metadata_fields:
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metadata_fields[key] = {
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"type": value_type,
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"example": value,
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"count": 1
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}
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else:
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metadata_fields[key]["count"] += 1
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# Track if types vary
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if metadata_fields[key]["type"] != value_type:
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metadata_fields[key]["type"] = "mixed"
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return get_json_result(data={
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"kb_id": kb_id,
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"total_documents": len(docs),
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"metadata_fields": metadata_fields
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})
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except Exception as e:
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return server_error_response(e)
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@manager.route("/upload_info", methods=["POST"]) # noqa: F821
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async def upload_info():
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files = await request.files
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225
test/unit_test/api/test_batch_metadata.py
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225
test/unit_test/api/test_batch_metadata.py
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@ -0,0 +1,225 @@
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#
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# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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"""
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Unit tests for batch metadata management endpoints
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"""
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import pytest
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import json
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from unittest.mock import Mock, patch, MagicMock
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class TestBatchMetadataEndpoints:
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"""Test batch metadata management functionality"""
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def test_batch_set_meta_validation(self):
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"""Test batch_set_meta request validation"""
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# Test empty doc_ids
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doc_ids = []
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meta = {"department": "HR"}
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assert isinstance(doc_ids, list)
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assert not doc_ids # Empty list
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# Test valid doc_ids
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doc_ids = ["doc1", "doc2", "doc3"]
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assert isinstance(doc_ids, list)
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assert len(doc_ids) == 3
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def test_metadata_type_validation(self):
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"""Test metadata value type validation"""
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# Valid types
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valid_meta = {
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"string_field": "value",
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"int_field": 123,
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"float_field": 45.67
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}
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for k, v in valid_meta.items():
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assert isinstance(v, (str, int, float))
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# Invalid types
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invalid_values = [
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{"list_field": [1, 2, 3]},
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{"dict_field": {"nested": "value"}},
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]
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for invalid in invalid_values:
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for k, v in invalid.items():
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assert not isinstance(v, (str, int, float))
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def test_batch_results_structure(self):
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"""Test batch operation results structure"""
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results = {
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"results": {
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"doc1": {"success": True},
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"doc2": {"success": False, "error": "Not found"},
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"doc3": {"success": True}
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},
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"total": 3,
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"success": 2,
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"failed": 1
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}
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assert "results" in results
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assert "total" in results
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assert "success" in results
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assert "failed" in results
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assert results["total"] == 3
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assert results["success"] == 2
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assert results["failed"] == 1
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def test_get_meta_response_structure(self):
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"""Test get_meta response structure"""
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response = {
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"doc_id": "doc123",
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"doc_name": "test.pdf",
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"meta": {
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"department": "HR",
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"year": 2024
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}
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}
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assert "doc_id" in response
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assert "doc_name" in response
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assert "meta" in response
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assert isinstance(response["meta"], dict)
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def test_batch_get_meta_response_structure(self):
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"""Test batch_get_meta response structure"""
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response = {
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"doc1": {
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"doc_name": "file1.pdf",
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"meta": {"dept": "HR"},
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"kb_id": "kb123"
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},
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"doc2": {
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"error": "Document not found"
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}
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}
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assert "doc1" in response
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assert "doc2" in response
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assert "meta" in response["doc1"]
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assert "error" in response["doc2"]
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def test_list_metadata_fields_structure(self):
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"""Test list_metadata_fields response structure"""
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response = {
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"kb_id": "kb123",
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"total_documents": 10,
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"metadata_fields": {
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"department": {
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"type": "str",
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"example": "HR",
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"count": 8
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},
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"year": {
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"type": "int",
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"example": 2024,
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"count": 10
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},
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"cost": {
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"type": "float",
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"example": 199.99,
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"count": 5
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}
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}
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}
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assert "kb_id" in response
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assert "total_documents" in response
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assert "metadata_fields" in response
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for field_name, field_info in response["metadata_fields"].items():
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assert "type" in field_info
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assert "example" in field_info
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assert "count" in field_info
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def test_metadata_field_type_tracking(self):
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"""Test metadata field type tracking across documents"""
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# Simulating field type analysis
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documents = [
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{"meta_fields": {"dept": "HR", "year": 2024}},
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{"meta_fields": {"dept": "IT", "year": 2023}},
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{"meta_fields": {"dept": "Finance", "year": "2024"}}, # Mixed type
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]
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field_types = {}
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for doc in documents:
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for key, value in doc.get("meta_fields", {}).items():
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value_type = type(value).__name__
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if key not in field_types:
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field_types[key] = value_type
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elif field_types[key] != value_type:
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field_types[key] = "mixed"
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assert field_types["dept"] == "str"
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assert field_types["year"] == "mixed" # int and str
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def test_json_metadata_parsing(self):
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"""Test JSON metadata parsing"""
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# Test string JSON
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meta_str = '{"department": "HR", "cost": 123.45}'
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meta = json.loads(meta_str)
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assert isinstance(meta, dict)
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assert meta["department"] == "HR"
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assert meta["cost"] == 123.45
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# Test already parsed dict
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meta_dict = {"department": "HR", "cost": 123.45}
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assert isinstance(meta_dict, dict)
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def test_authorization_check_logic(self):
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"""Test authorization checking logic"""
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user_id = "user123"
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doc_owner_id = "user123"
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# Same user - authorized
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assert user_id == doc_owner_id
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# Different user - not authorized
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other_user = "user456"
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assert user_id != other_user
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def test_batch_operation_partial_success(self):
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"""Test handling partial success in batch operations"""
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doc_ids = ["doc1", "doc2", "doc3", "doc4"]
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# Simulate results
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results = {
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"doc1": {"success": True},
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"doc2": {"success": False, "error": "Not found"},
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"doc3": {"success": True},
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"doc4": {"success": False, "error": "No authorization"}
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}
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success_count = sum(1 for r in results.values() if r.get("success"))
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failed_count = len(doc_ids) - success_count
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assert success_count == 2
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assert failed_count == 2
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# Verify we can still return partial results
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assert len(results) == len(doc_ids)
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if __name__ == "__main__":
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pytest.main([__file__, "-v"])
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