This PR implements the complete three-tier hierarchical retrieval architecture as specified in issue #11610, enabling production-grade RAG capabilities. ## Tier 1: Knowledge Base Routing - Auto-route queries to relevant knowledge bases - Per-KB retrieval parameters (KBRetrievalParams dataclass) - Rule-based routing with keyword overlap scoring - LLM-based routing with fallback to rule-based - Configurable routing methods: auto, rule_based, llm_based, all ## Tier 2: Document Filtering - Document-level metadata filtering within selected KBs - Configurable metadata fields for filtering - LLM-generated filter conditions - Metadata similarity matching (fuzzy matching) - Enhanced metadata generation for documents ## Tier 3: Chunk Refinement - Parent-child chunking with summary mapping - Custom prompts for keyword extraction - LLM-based question generation for chunks - Integration with existing retrieval pipeline ## Metadata Management (Batch CRUD) - MetadataService with batch operations: - batch_get_metadata - batch_update_metadata - batch_delete_metadata_fields - batch_set_metadata_field - get_metadata_schema - search_by_metadata - get_metadata_statistics - copy_metadata - REST API endpoints in metadata_app.py ## Integration - HierarchicalConfig dataclass for configuration - Integrated into Dealer class (search.py) - Wired into agent retrieval tool - Non-breaking: disabled by default ## Tests - 48 unit tests covering all components - Tests for config, routing, filtering, and metadata operations
230 lines
7.2 KiB
Python
230 lines
7.2 KiB
Python
#
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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 MetadataService.
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Tests batch CRUD operations for document metadata management.
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"""
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import pytest
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from unittest.mock import Mock, patch, MagicMock
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class TestMetadataServiceBatchGet:
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"""Test batch_get_metadata functionality."""
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def test_batch_get_empty_ids(self):
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"""Test batch get with empty doc_ids returns empty dict."""
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from api.db.services.metadata_service import MetadataService
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with patch.object(MetadataService, 'batch_get_metadata', return_value={}):
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result = MetadataService.batch_get_metadata([])
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assert result == {}
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def test_batch_get_with_fields_filter(self):
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"""Test batch get filters to requested fields."""
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# This tests the logic of field filtering
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full_metadata = {"field1": "value1", "field2": "value2", "field3": "value3"}
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requested_fields = ["field1", "field3"]
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filtered = {k: v for k, v in full_metadata.items() if k in requested_fields}
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assert "field1" in filtered
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assert "field3" in filtered
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assert "field2" not in filtered
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class TestMetadataServiceBatchUpdate:
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"""Test batch_update_metadata functionality."""
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def test_update_merge_logic(self):
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"""Test metadata merge logic."""
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existing = {"field1": "old_value", "field2": "keep_this"}
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new_metadata = {"field1": "new_value", "field3": "added"}
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# Merge logic
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existing.update(new_metadata)
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assert existing["field1"] == "new_value" # Updated
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assert existing["field2"] == "keep_this" # Preserved
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assert existing["field3"] == "added" # Added
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def test_update_replace_logic(self):
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"""Test metadata replace logic."""
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existing = {"field1": "old_value", "field2": "keep_this"}
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new_metadata = {"field1": "new_value", "field3": "added"}
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# Replace logic (don't merge)
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result = new_metadata
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assert result["field1"] == "new_value"
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assert "field2" not in result # Not preserved
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assert result["field3"] == "added"
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class TestMetadataServiceBatchDelete:
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"""Test batch_delete_metadata_fields functionality."""
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def test_delete_fields_logic(self):
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"""Test field deletion logic."""
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metadata = {"field1": "value1", "field2": "value2", "field3": "value3"}
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fields_to_delete = ["field1", "field3"]
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for field in fields_to_delete:
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if field in metadata:
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del metadata[field]
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assert "field1" not in metadata
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assert "field2" in metadata
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assert "field3" not in metadata
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class TestMetadataServiceSearch:
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"""Test search_by_metadata functionality."""
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def test_equals_filter(self):
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"""Test equals filter logic."""
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doc_value = "Technical"
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condition = "Technical"
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matches = str(doc_value) == str(condition)
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assert matches is True
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def test_contains_filter(self):
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"""Test contains filter logic."""
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doc_value = "Technical Documentation"
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condition = {"contains": "Technical"}
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val = condition["contains"]
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matches = str(val).lower() in str(doc_value).lower()
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assert matches is True
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def test_starts_with_filter(self):
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"""Test starts_with filter logic."""
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doc_value = "Technical Documentation"
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condition = {"starts_with": "Tech"}
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val = condition["starts_with"]
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matches = str(doc_value).lower().startswith(str(val).lower())
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assert matches is True
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def test_gt_filter(self):
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"""Test greater than filter logic."""
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doc_value = 2023
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condition = {"gt": 2020}
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val = condition["gt"]
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matches = float(doc_value) > float(val)
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assert matches is True
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def test_lt_filter(self):
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"""Test less than filter logic."""
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doc_value = 2019
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condition = {"lt": 2020}
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val = condition["lt"]
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matches = float(doc_value) < float(val)
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assert matches is True
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def test_in_filter(self):
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"""Test in filter logic."""
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doc_value = "Technical"
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condition = {"in": ["Technical", "Legal", "HR"]}
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val = condition["in"]
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matches = doc_value in val
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assert matches is True
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class TestMetadataServiceSchema:
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"""Test get_metadata_schema functionality."""
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def test_schema_type_detection(self):
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"""Test type detection in schema."""
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values = [
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("string_value", "str"),
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(123, "int"),
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(12.5, "float"),
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(True, "bool"),
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(["a", "b"], "list"),
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]
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for value, expected_type in values:
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detected_type = type(value).__name__
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assert detected_type == expected_type
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def test_schema_sample_values_limit(self):
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"""Test sample values are limited."""
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sample_values = set()
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max_samples = 10
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for i in range(20):
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if len(sample_values) < max_samples:
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sample_values.add(f"value_{i}")
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assert len(sample_values) == max_samples
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class TestMetadataServiceStatistics:
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"""Test get_metadata_statistics functionality."""
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def test_coverage_calculation(self):
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"""Test metadata coverage calculation."""
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total_docs = 100
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docs_with_metadata = 80
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coverage = docs_with_metadata / total_docs if total_docs > 0 else 0
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assert coverage == 0.8
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def test_coverage_zero_docs(self):
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"""Test coverage with zero documents."""
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total_docs = 0
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docs_with_metadata = 0
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coverage = docs_with_metadata / total_docs if total_docs > 0 else 0
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assert coverage == 0
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class TestMetadataServiceCopy:
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"""Test copy_metadata functionality."""
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def test_copy_all_fields(self):
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"""Test copying all metadata fields."""
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source_meta = {"field1": "value1", "field2": "value2"}
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# Copy all
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copied = source_meta.copy()
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assert copied == source_meta
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assert copied is not source_meta # Different object
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def test_copy_specific_fields(self):
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"""Test copying specific metadata fields."""
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source_meta = {"field1": "value1", "field2": "value2", "field3": "value3"}
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fields = ["field1", "field3"]
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copied = {k: v for k, v in source_meta.items() if k in fields}
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assert "field1" in copied
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assert "field2" not in copied
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assert "field3" in copied
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if __name__ == "__main__":
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pytest.main([__file__, "-v"])
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