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Closes #1012 - add structured session fact extraction with provenance, temporal metadata, canonical normalization, and contradiction grouping - persist structured metadata into holographic memory auto-extraction with canonical-key dedupe across repeated ingests - add fixture-backed transcript tests plus extraction quality evaluation
51 lines
1.8 KiB
Python
51 lines
1.8 KiB
Python
"""Integration tests for holographic auto-extraction with structured fact persistence."""
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import json
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import sys
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).resolve().parents[3]))
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from plugins.memory.holographic import HolographicMemoryProvider
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_FIXTURE_PATH = Path(__file__).resolve().parents[2] / "fixtures" / "memory_extraction_fragments.json"
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def _load_fixture(name: str):
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return json.loads(_FIXTURE_PATH.read_text())[name]
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class TestHolographicAutoExtract:
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def test_auto_extract_persists_structured_metadata_and_normalizes_duplicates(self, tmp_path):
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provider = HolographicMemoryProvider(
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config={
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"db_path": str(tmp_path / "memory_store.db"),
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"auto_extract": True,
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"default_trust": 0.5,
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}
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)
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provider.initialize("test-session")
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messages = _load_fixture("mixed_transcript")
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provider.on_session_end(messages)
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provider.on_session_end(messages)
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facts = provider._store.list_facts(min_trust=0.0, limit=20)
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deploy_facts = [f for f in facts if f.get("relation") == "workflow.deploy_method"]
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provider_facts = [f for f in facts if f.get("contradiction_group") == "config.provider"]
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assert len(deploy_facts) == 1
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assert deploy_facts[0]["metadata"]["duplicate_count"] >= 3
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assert deploy_facts[0]["observed_at"] == "2026-04-22T10:00:00Z"
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assert deploy_facts[0]["metadata"]["provenance"] == [
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"conversation:user:0",
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"conversation:user:1",
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]
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assert len(provider_facts) == 2
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assert {f["status"] for f in provider_facts} == {"contradiction"}
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assert {f["metadata"]["value"] for f in provider_facts} == {
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"openai-codex/gpt-5.4",
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"mimo-v2-pro",
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}
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