Replace the abandoned llms-txt-mcp/Chroma docs backend with an in-repo MCP service: SQLite WAL + FTS5 + sentence-transformer embeddings, transactional source replacement, persisted state across restarts, singleflight refresh with conditional requests, hybrid lexical/semantic ranking with exact-duplicate collapse, source/host filters, and explicit-by-default content retrieval. Add docs_rebuild and a docs-rebuild CLI command. Add deterministic llms-full.txt snapshot generation for machine-local menus with hash-validated provenance manifests; lifecycle commands promote a local menu to its snapshot only when the manifest validates. Switch public source profiles to content-bearing llms-full.txt feeds. Improve web search: bounded provider fallback with per-attempt diagnostics and cancellation, an optional Brave Search API provider, strict SearXNG engine selection, capped link/media extraction, and a real engine=browser renderer that routes every request through the existing SSRF vetting while blocking WebSockets, non-GET traffic, and private destinations. Extend release checks with offline unit suites and isolated candidate container tests for both images.
99 lines
3.3 KiB
Python
99 lines
3.3 KiB
Python
from __future__ import annotations
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import tempfile
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import unittest
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from pathlib import Path
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import numpy as np
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from context_docs.models import PreparedDocument, RefreshOutcome, SourceUpdate
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from context_docs.search import HybridSearch
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from context_docs.service import DocsService
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from context_docs.store import IndexStore
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from .fakes import FakeEmbedder
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class NoopRefresh:
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async def refresh(self, source: str, force: bool = False) -> RefreshOutcome:
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return RefreshOutcome(source, "fresh", 1)
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class ServiceTest(unittest.IsolatedAsyncioTestCase):
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async def asyncSetUp(self) -> None:
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self.tmp = tempfile.TemporaryDirectory()
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self.store = IndexStore(Path(self.tmp.name) / "docs.sqlite3")
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self.source = "https://example.test/llms.txt"
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self.store.configure_sources([self.source])
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content = "IMMICH_IGNORE_MOUNT_CHECK_ERRORS " + "x" * 200
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item = PreparedDocument(
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id="exact",
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configured_source=self.source,
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resolved_source=self.source,
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source_host="example.test",
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canonical_url="https://docs.example.test/environment",
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canonical_host="docs.example.test",
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title="Environment",
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description="",
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heading_path="Environment",
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content=content,
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content_hash="content-hash",
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embedding=np.asarray([1.0, 0.0, 0.0, 0.0], dtype=np.float32),
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)
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self.store.replace_source(
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SourceUpdate(
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configured_source=self.source,
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resolved_source=self.source,
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etag=None,
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last_modified=None,
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body_hash="body",
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raw_body="# body",
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parser_fingerprint="context-docs-parser-v1",
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embedding_fingerprint="fake-embedder-v1",
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checked_at=1.0,
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indexed_at=1.0,
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stale_at=9_999_999_999.0,
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documents=[item],
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)
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)
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embedder = FakeEmbedder()
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self.service = DocsService(
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self.store,
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HybridSearch(self.store, embedder),
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NoopRefresh(),
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max_get_bytes=100,
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)
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async def asyncTearDown(self) -> None:
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self.store.close()
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self.tmp.cleanup()
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async def test_query_does_not_retrieve_content_by_default(self) -> None:
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response = await self.service.query("IMMICH_IGNORE_MOUNT_CHECK_ERRORS")
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self.assertEqual({}, response["retrieved_content"])
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self.assertEqual("exact", response["search_results"][0]["id"])
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async def test_explicit_retrieval_respects_global_byte_cap(self) -> None:
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response = await self.service.query(
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"IMMICH_IGNORE_MOUNT_CHECK_ERRORS",
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retrieve_ids=["exact"],
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max_bytes=10_000,
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)
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retrieved = response["retrieved_content"]["exact"]
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self.assertLessEqual(len(retrieved["content"].encode()), 100)
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self.assertTrue(retrieved["truncated"])
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async def test_high_default_threshold_only_retrieves_strong_hybrid_match(self) -> None:
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response = await self.service.query(
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"IMMICH_IGNORE_MOUNT_CHECK_ERRORS",
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auto_retrieve=True,
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)
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self.assertIn("exact", response["retrieved_content"])
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if __name__ == "__main__":
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unittest.main()
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