318 lines
13 KiB
Python
318 lines
13 KiB
Python
from __future__ import annotations
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import base64
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import hashlib
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import os
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import tempfile
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import unittest
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from io import BytesIO
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from pathlib import Path
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from unittest.mock import patch
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from uuid import uuid4
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from PIL import Image, ImageDraw
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from fastapi.testclient import TestClient
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_TEST_DATA_DIR = tempfile.TemporaryDirectory(prefix="sovereignai-knowledge-tests-")
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os.environ["SOVEREIGNAI_DATA_DIR"] = _TEST_DATA_DIR.name
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from app import auth, database, knowledge
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from app.main import app
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from tests.api_client import authenticated_client
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class KnowledgeIndexTests(unittest.TestCase):
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def setUp(self) -> None:
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self.temp = tempfile.TemporaryDirectory()
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self.base = Path(self.temp.name)
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self.database = self.base / "knowledge.sqlite3"
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self.workspace = self.base / "project"
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self.workspace.mkdir()
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self.other_workspace = self.base / "other-project"
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self.other_workspace.mkdir()
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with patch.object(knowledge.database, "DATABASE_PATH", self.database):
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knowledge.initialize()
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def tearDown(self) -> None:
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self.temp.cleanup()
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def _index(self, text: str, root: Path | None = None) -> None:
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selected_root = root or self.workspace
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source = selected_root / "docs" / "guide.md"
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source.parent.mkdir(parents=True, exist_ok=True)
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source.write_text(text, encoding="utf-8")
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raw = text.encode("utf-8")
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with patch.object(knowledge.database, "DATABASE_PATH", self.database):
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knowledge.index_document(
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user_id="local-user",
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workspace_path=selected_root,
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relative_path="docs/guide.md",
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text=text,
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content_hash=hashlib.sha256(raw).hexdigest(),
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)
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def _search(self, query: str, root: Path | None = None) -> list[dict[str, object]]:
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with patch.object(knowledge.database, "DATABASE_PATH", self.database):
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return knowledge.search(
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query,
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user_id="local-user",
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workspace_path=root or self.workspace,
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)
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def test_search_returns_source_and_matching_chunk(self) -> None:
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self._index("SQLite keeps the local conversation history in a durable database.")
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result = self._search("conversation database")
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self.assertTrue(result)
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self.assertEqual(result[0]["path"], "docs/guide.md")
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self.assertIn("conversation", str(result[0]["text"]))
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def test_search_limits_duplicate_chunks_per_document_to_keep_source_diversity(self) -> None:
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documents = {
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"docs/a.md": "sharedmarker " * 700,
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"docs/b.md": "sharedmarker evidence from a second document.",
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}
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with patch.object(knowledge.database, "DATABASE_PATH", self.database):
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for relative_path, text in documents.items():
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source = self.workspace / relative_path
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source.parent.mkdir(parents=True, exist_ok=True)
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source.write_text(text, encoding="utf-8")
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knowledge.index_document(
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user_id="local-user",
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workspace_path=self.workspace,
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relative_path=relative_path,
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text=text,
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content_hash=hashlib.sha256(text.encode("utf-8")).hexdigest(),
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)
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with patch.object(knowledge.database, "DATABASE_PATH", self.database):
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results = knowledge.search(
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"sharedmarker",
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user_id="local-user",
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workspace_path=self.workspace,
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limit=5,
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)
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paths = [str(item["path"]) for item in results]
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self.assertIn("docs/b.md", paths)
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self.assertLessEqual(paths.count("docs/a.md"), knowledge.MAX_CHUNKS_PER_DOCUMENT)
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def test_reindex_replaces_old_chunks_and_search_is_workspace_scoped(self) -> None:
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self._index("oldkeyword exists in the first document.")
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self._index("newkeyword replaces the first document.")
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self.assertEqual(self._search("oldkeyword"), [])
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self.assertTrue(self._search("newkeyword"))
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self.assertEqual(self._search("newkeyword", self.other_workspace), [])
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def test_search_discards_a_source_that_changed_after_indexing(self) -> None:
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self._index("stalephrase was present when the index was created.")
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(self.workspace / "docs" / "guide.md").write_text(
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"newphrase replaced the indexed document.", encoding="utf-8"
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)
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self.assertEqual(self._search("stalephrase"), [])
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self.assertEqual(self._search("stalephrase"), [])
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self._index("newphrase is now indexed.")
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self.assertTrue(self._search("newphrase"))
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def test_arabic_audio_synonyms_retrieve_transcription_source(self) -> None:
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self._index("يرسل مسار الصوت التسجيل إلى Groq باستخدام Whisper للتفريغ.")
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results = self._search("أي خدمة تفرغ التسجيلات الصوتية؟")
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self.assertTrue(results)
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self.assertEqual(results[0]["path"], "docs/guide.md")
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self.assertIn("Whisper", str(results[0]["text"]))
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def test_chunking_preserves_overlap_for_boundary_context(self) -> None:
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text = "a" * (knowledge.CHUNK_SIZE - 2) + " boundaryphrase " + "b" * 80
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chunks = knowledge._chunks(text)
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self.assertGreaterEqual(len(chunks), 2)
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self.assertIn("boundaryphrase", "".join(chunks))
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def test_api_indexes_selected_file_and_returns_matching_source(self) -> None:
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file = self.workspace / "guide.md"
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file.write_text("The project stores conversations in SQLite.", encoding="utf-8")
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client = authenticated_client(app)
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indexed = client.post(
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"/v1/agent/knowledge/index",
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json={"workspace_path": str(self.workspace), "files": ["guide.md"]},
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)
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result = client.post(
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"/v1/agent/knowledge/search",
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json={
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"workspace_path": str(self.workspace),
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"task": "conversations SQLite",
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},
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)
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self.assertEqual(indexed.status_code, 200, indexed.text)
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self.assertEqual(indexed.json()["storage"], "local_sqlite_fts5")
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self.assertEqual(result.status_code, 200, result.text)
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self.assertEqual(result.json()["results"][0]["path"], "guide.md")
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deleted = client.request(
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"DELETE",
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"/v1/agent/knowledge/index",
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json={"workspace_path": str(self.workspace), "files": ["guide.md"]},
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)
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self.assertEqual(deleted.status_code, 200, deleted.text)
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self.assertTrue(deleted.json()["deleted"][0]["deleted"])
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def test_api_knowledge_index_isolated_between_account_sessions(self) -> None:
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marker = "OwnerScopedKnowledgeMarker"
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(self.workspace / "private.md").write_text(marker, encoding="utf-8")
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owner_id = auth.create_account(
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f"{uuid4().hex}@example.test", "account one secure passphrase"
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)
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other_id = auth.create_account(
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f"{uuid4().hex}@example.test", "account two secure passphrase"
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)
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self.addCleanup(self._delete_test_users, owner_id, other_id)
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owner_token, _ = auth.issue_session(owner_id)
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other_token, _ = auth.issue_session(other_id)
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owner_client = TestClient(
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app, headers={"Authorization": f"Bearer {owner_token}"}
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)
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other_client = TestClient(
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app, headers={"Authorization": f"Bearer {other_token}"}
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)
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payload = {
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"workspace_path": str(self.workspace),
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"files": ["private.md"],
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}
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indexed = owner_client.post("/v1/agent/knowledge/index", json=payload)
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owner_results = owner_client.post(
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"/v1/agent/knowledge/search",
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json={"workspace_path": str(self.workspace), "task": marker},
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)
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other_results = other_client.post(
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"/v1/agent/knowledge/search",
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json={"workspace_path": str(self.workspace), "task": marker},
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)
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self.assertEqual(indexed.status_code, 200, indexed.text)
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self.assertEqual(owner_results.status_code, 200, owner_results.text)
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self.assertEqual(other_results.status_code, 200, other_results.text)
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self.assertEqual(owner_results.json()["results"][0]["path"], "private.md")
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self.assertEqual(other_results.json()["results"], [])
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knowledge.delete_document(
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user_id=owner_id,
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workspace_path=self.workspace,
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relative_path="private.md",
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)
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@staticmethod
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def _delete_test_users(*user_ids: str) -> None:
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with database._connect() as connection:
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connection.executemany(
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"DELETE FROM users WHERE id=?", [(user_id,) for user_id in user_ids]
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)
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def test_api_ocr_indexes_a_scanned_pdf_and_retrieves_its_text(self) -> None:
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pdf_path = self.workspace / "notice.pdf"
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image = Image.new("RGB", (900, 1165), "white")
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ImageDraw.Draw(image).text((60, 80), "scanned notice", fill="black")
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output = BytesIO()
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image.save(output, format="PDF", resolution=144)
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pdf_path.write_bytes(output.getvalue())
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client = authenticated_client(app)
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ocr = {
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"engine": "easyocr-local-ar-en",
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"text": "Community Reading Meetup Place Amman",
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"lines": [],
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"average_confidence": 0.8,
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"elapsed_seconds": 1.0,
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}
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with patch("app.main.recognize_image_text", return_value=ocr):
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indexed = client.post(
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"/v1/agent/knowledge/index",
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json={"workspace_path": str(self.workspace), "files": ["notice.pdf"]},
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)
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searched = client.post(
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"/v1/agent/knowledge/search",
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json={"workspace_path": str(self.workspace), "task": "Community Meetup Amman"},
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)
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self.assertEqual(indexed.status_code, 200, indexed.text)
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self.assertEqual(indexed.json()["indexed"][0]["ocr_pages"], 1)
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self.assertEqual(searched.status_code, 200, searched.text)
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self.assertEqual(searched.json()["results"][0]["path"], "notice.pdf")
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self.assertIn("Community Reading Meetup", searched.json()["results"][0]["text"])
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def test_api_indexes_digital_and_scanned_pages_from_mixed_pdf(self) -> None:
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pdf_path = self.workspace / "mixed.pdf"
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pdf_path.write_bytes(b"%PDF-mixed-test")
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client = authenticated_client(app)
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rendered = {
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"pages": [
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{
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"page": 2,
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"mime_type": "image/jpeg",
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"data": base64.b64encode(b"rendered jpeg").decode("ascii"),
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}
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],
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"total_pages": 2,
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"truncated": False,
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}
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ocr = {
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"engine": "easyocr-local-ar-en",
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"text": "ScannedPageMarker",
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"lines": [],
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"average_confidence": 0.85,
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"elapsed_seconds": 0.9,
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}
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with (
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patch(
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"app.main.extract_pdf_pages_text",
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return_value={
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"pages": [
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{"page": 1, "text": "DigitalPageMarker", "has_text": True},
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{"page": 2, "text": "", "has_text": False},
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],
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"total_pages": 2,
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"truncated": False,
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},
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),
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patch("app.main.render_scanned_pdf_pages", return_value=rendered),
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patch("app.main.recognize_image_text", return_value=ocr),
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):
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indexed = client.post(
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"/v1/agent/knowledge/index",
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json={"workspace_path": str(self.workspace), "files": ["mixed.pdf"]},
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)
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digital_result = client.post(
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"/v1/agent/knowledge/search",
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json={"workspace_path": str(self.workspace), "task": "DigitalPageMarker"},
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)
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scanned_result = client.post(
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"/v1/agent/knowledge/search",
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json={"workspace_path": str(self.workspace), "task": "ScannedPageMarker"},
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)
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deleted = client.request(
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"DELETE",
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"/v1/agent/knowledge/index",
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json={"workspace_path": str(self.workspace), "files": ["mixed.pdf"]},
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)
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self.assertEqual(indexed.status_code, 200, indexed.text)
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self.assertEqual(indexed.json()["indexed"][0]["ocr_pages"], 1)
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self.assertEqual(digital_result.status_code, 200, digital_result.text)
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self.assertEqual(scanned_result.status_code, 200, scanned_result.text)
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self.assertIn("DigitalPageMarker", digital_result.json()["results"][0]["text"])
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self.assertIn("ScannedPageMarker", scanned_result.json()["results"][0]["text"])
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self.assertEqual(deleted.status_code, 200, deleted.text)
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if __name__ == "__main__":
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unittest.main()
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