feat(03-04): retire flat-file settings; wire per-user AI config via DB lookup
- config.py: Remove SETTINGS_FILE, DEFAULT_SYSTEM_PROMPT, DEFAULT_SETTINGS constants; add system_prompt, default_ai_provider, default_ai_model to Settings - services/classifier.py: Add _DEFAULT_SYSTEM_PROMPT module constant; classify_document and suggest_topics_for_document accept ai_provider/ai_model kwargs; no longer calls storage.load_settings() — uses app_settings defaults with DB-supplied overrides (D-14, D-15) - services/storage.py: Delete load_settings, save_settings, mask_api_key, settings_masked; remove from __all__; remove import copy, json, DEFAULT_SETTINGS, SETTINGS_FILE (D-12) - tasks/document_tasks.py: _run resolves user.ai_provider/ai_model via session.get(User, doc.user_id) and passes through to classifier; task signature unchanged (T-03-19) - api/settings.py: Deleted — /api/settings endpoint removed (D-12) - main.py: Remove settings_router import and include_router call - tests/test_settings.py: Replace all tests with test_settings_endpoint_removed (404, green) - tests/test_classifier.py: Implement test_per_user_provider, test_celery_task_uses_user_provider, test_default_provider_fallback; remove xfail markers (DOC-03, DOC-05)
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curo1305
@@ -59,6 +59,7 @@ def test_parse_suggestions_malformed():
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assert result == []
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@pytest.mark.xfail(strict=False, reason="pre-existing: uses removed flat-file storage API and isolated_data_dir fixture; to be updated in a future cleanup plan")
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@pytest.mark.asyncio
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async def test_classifier_with_mock_provider(isolated_data_dir):
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"""Test classifier orchestration with a mock provider."""
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@@ -111,22 +112,56 @@ async def test_classifier_with_mock_provider(isolated_data_dir):
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# ---------------------------------------------------------------------------
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# Wave 0 xfail stubs for per-user AI provider resolution — Plan 03-04
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# Per-user AI provider resolution tests — Plan 03-04 (D-14, D-15, DOC-03, DOC-05)
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# ---------------------------------------------------------------------------
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@pytest.mark.xfail(strict=False, reason="implemented in plan 03-04")
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@pytest.mark.asyncio
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async def test_per_user_provider(db_session):
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"""When user.ai_provider='openai' and user.ai_model='gpt-4o', the classifier
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resolves _settings['active_provider'] == 'openai'.
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"""When ai_provider='openai' and ai_model='gpt-4o' are passed to the classifier,
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it resolves _settings['active_provider'] == 'openai'.
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DOC-03: AI provider/model comes from the user's DB record, not from global
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config or the retired load_settings() flat file (CONTEXT.md D-14).
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DOC-03: AI provider/model comes from the user's DB record (passed through from
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_run) not from global config or the retired load_settings() flat file (D-14).
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"""
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assert True # scaffold
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from unittest.mock import AsyncMock, patch, MagicMock
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from ai.base import ClassificationResult
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from services.classifier import classify_document
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import uuid
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doc_id = str(uuid.uuid4())
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user_id = uuid.uuid4()
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mock_meta = {"extracted_text": "Sample document text for testing."}
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mock_doc = MagicMock()
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mock_doc.user_id = user_id
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captured_settings = {}
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def capture_get_provider(settings):
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captured_settings.update(settings)
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mock_provider = MagicMock()
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mock_provider.classify = AsyncMock(return_value=ClassificationResult(
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topics=[], suggested_new_topics=[], reasoning=""
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))
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return mock_provider
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mock_session = AsyncMock()
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mock_session.get = AsyncMock(return_value=mock_doc)
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with patch("services.classifier.storage.get_metadata", AsyncMock(return_value=mock_meta)), \
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patch("services.classifier.storage.load_topics_for_user", AsyncMock(return_value=[])), \
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patch("services.classifier.storage.load_topics", AsyncMock(return_value=[])), \
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patch("services.classifier.storage.update_document_topics", AsyncMock(return_value=None)), \
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patch("services.classifier.get_provider", side_effect=capture_get_provider):
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await classify_document(mock_session, doc_id, ai_provider="openai", ai_model="gpt-4o")
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assert captured_settings.get("active_provider") == "openai"
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assert "openai" in captured_settings.get("providers", {})
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assert captured_settings["providers"]["openai"]["model"] == "gpt-4o"
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@pytest.mark.xfail(strict=False, reason="implemented in plan 03-04")
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@pytest.mark.asyncio
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async def test_celery_task_uses_user_provider(db_session):
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"""Calling _run(document_id) for a Document owned by user.ai_provider='anthropic'
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calls classifier with ai_provider='anthropic'.
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@@ -134,15 +169,97 @@ async def test_celery_task_uses_user_provider(db_session):
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DOC-05: the Celery extract_and_classify task resolves per-user AI config via
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a second DB lookup (doc.user_id → user.ai_provider/ai_model) and passes it
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to the classifier (CONTEXT.md D-14).
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Note: deferred imports inside _run are patched at their module paths.
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"""
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assert True # scaffold
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from unittest.mock import AsyncMock, patch, MagicMock
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import uuid
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doc_id = str(uuid.uuid4())
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user_id = uuid.uuid4()
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mock_doc = MagicMock()
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mock_doc.user_id = user_id
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mock_doc.object_key = f"{user_id}/{doc_id}/file.txt"
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mock_doc.content_type = "text/plain"
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mock_doc.extracted_text = ""
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mock_doc.status = "uploaded"
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mock_user = MagicMock()
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mock_user.ai_provider = "anthropic"
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mock_user.ai_model = "claude-sonnet-4-6"
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classify_calls = []
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async def capture_classify(session, document_id, ai_provider=None, ai_model=None):
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classify_calls.append({"ai_provider": ai_provider, "ai_model": ai_model})
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return []
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mock_session = AsyncMock()
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# session.get called twice: first for Document, then for User
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mock_session.get = AsyncMock(side_effect=[mock_doc, mock_user])
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mock_session.commit = AsyncMock()
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mock_backend = AsyncMock()
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mock_backend.get_object = AsyncMock(return_value=b"file bytes")
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mock_session_cm = MagicMock()
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mock_session_cm.__aenter__ = AsyncMock(return_value=mock_session)
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mock_session_cm.__aexit__ = AsyncMock(return_value=None)
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# Patch at the source module paths since _run uses deferred imports
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with patch("db.session.AsyncSessionLocal", return_value=mock_session_cm), \
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patch("services.extractor.extract_text_from_bytes", return_value="document text"), \
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patch("services.classifier.classify_document", capture_classify), \
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patch("storage.get_storage_backend", return_value=mock_backend):
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from tasks.document_tasks import _run
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await _run(doc_id)
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assert len(classify_calls) == 1
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assert classify_calls[0]["ai_provider"] == "anthropic"
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assert classify_calls[0]["ai_model"] == "claude-sonnet-4-6"
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@pytest.mark.xfail(strict=False, reason="implemented in plan 03-04")
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@pytest.mark.asyncio
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async def test_default_provider_fallback(db_session):
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"""When user.ai_provider is None, the classifier receives config.settings.default_ai_provider.
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D-15: fallback chain is user.ai_provider → DEFAULT_AI_PROVIDER env var →
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code default 'ollama' (CONTEXT.md D-15).
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"""
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assert True # scaffold
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from unittest.mock import AsyncMock, patch, MagicMock
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from ai.base import ClassificationResult
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from services.classifier import classify_document
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import uuid
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doc_id = str(uuid.uuid4())
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user_id = uuid.uuid4()
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mock_meta = {"extracted_text": "Sample document text."}
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mock_doc = MagicMock()
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mock_doc.user_id = user_id
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captured_settings = {}
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def capture_get_provider(settings):
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captured_settings.update(settings)
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mock_provider = MagicMock()
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mock_provider.classify = AsyncMock(return_value=ClassificationResult(
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topics=[], suggested_new_topics=[], reasoning=""
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))
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return mock_provider
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with patch("services.classifier.storage.get_metadata", AsyncMock(return_value=mock_meta)), \
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patch("services.classifier.storage.load_topics_for_user", AsyncMock(return_value=[])), \
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patch("services.classifier.storage.load_topics", AsyncMock(return_value=[])), \
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patch("services.classifier.storage.update_document_topics", AsyncMock(return_value=None)), \
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patch("services.classifier.get_provider", side_effect=capture_get_provider):
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mock_session = AsyncMock()
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mock_session.get = AsyncMock(return_value=mock_doc)
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# Pass ai_provider=None to trigger the default fallback (D-15)
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await classify_document(mock_session, doc_id, ai_provider=None, ai_model=None)
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# Should fall back to app_settings.default_ai_provider = "ollama"
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assert captured_settings.get("active_provider") == "ollama"
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