fix: Backend testing, code coverage, logging, bugs, swaggerUI #1238
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Actionable comments posted: 71
🧹 Outside diff range and nitpick comments (83)
backend/database/__init__.py (1)
6-6: Consider adding module documentation.The
__all__declaration correctly defines the public API. Consider adding a module docstring to describe the purpose and usage of these database classes.Add a docstring at the beginning of the file:
+""" +Database module providing interfaces for chat, facts, memories, and task management. + +This module exports database classes for handling different aspects of the application's +data persistence needs: +- ChatDB: Manages chat-related data +- FactsDB: Handles fact storage and retrieval +- MemoriesDB: Manages memory-related operations +- TaskDB: Handles task management data +""" + from .chat import ChatDBbackend/config/security.py (3)
4-5: Consider implementing more granular rate limiting.While 60 requests per minute is a reasonable default, consider adding configurations for:
- Different API endpoints (some might need stricter limits)
- User roles (authenticated vs unauthenticated)
- Client types (internal vs external)
Example enhancement:
class RateLimitConfig(BaseModel): requests_per_minute: int burst_size: int = None class SecuritySettings(BaseSettings): DEFAULT_RATE_LIMIT: RateLimitConfig = RateLimitConfig(requests_per_minute=60) API_RATE_LIMITS: dict[str, RateLimitConfig] = { "auth": RateLimitConfig(requests_per_minute=30), "upload": RateLimitConfig(requests_per_minute=10), }
18-19: Enhance Firestore security configurations.Consider adding:
- Access rule configurations
- Field-level security settings
- Collection group query settings
- Data validation rules
Example enhancement:
class FirestoreConfig(BaseModel): user_collection_path: str enable_collection_group_queries: bool = False field_level_security: dict = { "users": ["email", "phone"] # fields to encrypt/restrict } class SecuritySettings(BaseSettings): FIRESTORE: FirestoreConfig = FirestoreConfig( user_collection_path="users/{userId}" )
21-22: Enhance Config class settings.Consider adding:
- Case sensitivity settings
- Extra fields handling
- Environment variable validation
Example enhancement:
class Config: env_file = ".env" case_sensitive = True extra = "forbid" # Raise errors for unknown fields validate_assignment = Truebackend/middleware/auth.py (1)
5-7: Enhance the function documentation.The current docstring is too brief. Consider adding parameter and return type descriptions, along with possible exceptions that might be raised.
- """Verify Firebase ID token""" + """Verify Firebase ID token from the request's Authorization header. + + Args: + request (Request): The FastAPI request object + + Returns: + dict: The decoded Firebase token containing user information + + Raises: + HTTPException: If the token is missing, malformed, or invalid + """backend/tests/utils/test_validation.py (2)
4-5: Enhance the docstring with more details.Consider expanding the docstring to describe the test cases and their purpose.
- """Test email validation""" + """Test email validation function. + + Tests both valid and invalid email formats including: + - Standard valid email formats + - Edge cases with special characters + - Invalid formats + - Non-string inputs + """
11-20: Refactor tests using pytest.mark.parametrize.The invalid email tests are comprehensive but could be more maintainable using parameterized tests.
+@pytest.mark.parametrize("invalid_email", [ + "", + "not_an_email", + "missing@domain", + "@no_user.com", + "spaces [email protected]", + "missing.domain@", + "two@@at.com", + None, + 123 +]) +def test_validate_email_invalid(invalid_email): + assert not validate_email(invalid_email)Also, for the existing implementation, follow Python's assertion style guidelines:
- assert validate_email("") == False - assert validate_email("not_an_email") == False - assert validate_email("missing@domain") == False + assert not validate_email("") + assert not validate_email("not_an_email") + assert not validate_email("missing@domain") # ... apply to all other assertions🧰 Tools
🪛 Ruff
12-12: Avoid equality comparisons to
False; useif not validate_email(""):for false checksReplace with
not validate_email("")(E712)
13-13: Avoid equality comparisons to
False; useif not validate_email("not_an_email"):for false checksReplace with
not validate_email("not_an_email")(E712)
14-14: Avoid equality comparisons to
False; useif not validate_email("missing@domain"):for false checksReplace with
not validate_email("missing@domain")(E712)
15-15: Avoid equality comparisons to
False; useif not validate_email("@no_user.com"):for false checksReplace with
not validate_email("@no_user.com")(E712)
16-16: Avoid equality comparisons to
False; useif not validate_email("spaces [email protected]"):for false checksReplace with
not validate_email("spaces [email protected]")(E712)
17-17: Avoid equality comparisons to
False; useif not validate_email("missing.domain@"):for false checksReplace with
not validate_email("missing.domain@")(E712)
18-18: Avoid equality comparisons to
False; useif not validate_email("two@@at.com"):for false checksReplace with
not validate_email("two@@at.com")(E712)
19-19: Avoid equality comparisons to
False; useif not validate_email(None):for false checksReplace with
not validate_email(None)(E712)
20-20: Avoid equality comparisons to
False; useif not validate_email(123):for false checksReplace with
not validate_email(123)(E712)
backend/tests/database/test_tasks.py (2)
1-4: Add type hints and documentation.Consider adding a docstring to describe the test suite's purpose and type hints for better code clarity.
import pytest from database.tasks import TaskDB +from typing import AsyncGenerator + class TestTaskDB: + """Test suite for TaskDB class validating task CRUD operations."""
5-8: Enhance fixture with type hints and cleanup.The fixture should include proper documentation, type hints, and cleanup mechanism.
@pytest.fixture - def task_db(self, db_client): + async def task_db(self, db_client) -> AsyncGenerator[TaskDB, None]: + """Provides a TaskDB instance for testing. + + Args: + db_client: The database client fixture + + Yields: + TaskDB: A configured TaskDB instance + """ return TaskDB(db_client) + yield task_db + # Clean up any test data + await task_db.delete_all_tasks() # Consider adding this method to TaskDBbackend/.env.template (2)
5-9: Add placeholder values for required bucket names.The bucket variables are clearly marked as Required/Optional, but the required ones should have example placeholder values to better guide users.
-BUCKET_SPEECH_PROFILES= # Required: For storing user speech profiles -BUCKET_MEMORIES_RECORDINGS= # Required: For storing memory recordings +BUCKET_SPEECH_PROFILES=speech-profiles-bucket # Required: For storing user speech profiles +BUCKET_MEMORIES_RECORDINGS=memories-recordings-bucket # Required: For storing memory recordings
33-47: Improve organization of database and service configurations.The database and service configurations would benefit from better grouping and documentation.
# Database Configuration -PINECONE_API_KEY= -PINECONE_INDEX_NAME= -REDIS_DB_HOST= -REDIS_DB_PORT= -REDIS_DB_PASSWORD= +# Vector Database (Pinecone) +PINECONE_API_KEY= # Required: Get from Pinecone Console +PINECONE_INDEX_NAME= # Required: Name of your Pinecone index + +# Cache Database (Redis) +REDIS_DB_HOST= # Required: Redis host (default: localhost) +REDIS_DB_PORT= # Required: Redis port (default: 6379) +REDIS_DB_PASSWORD= # Required: Redis password # Speech-to-Text Services -SONIOX_API_KEY= -DEEPGRAM_API_KEY= +SONIOX_API_KEY= # Required for Soniox STT +DEEPGRAM_API_KEY= # Required for Deepgram STT # Integration Services -WORKFLOW_API_KEY= -HUME_API_KEY= -HUME_CALLBACK_URL= -HOSTED_PUSHER_API_URL= +WORKFLOW_API_KEY= # Required for workflow integration +HUME_API_KEY= # Required for Hume AI integration +HUME_CALLBACK_URL= # Required: Callback URL for Hume AI responses +HOSTED_PUSHER_API_URL= # Required for real-time updatesbackend/tests/database/test_facts.py (2)
1-4: Remove unused importFactThe
Factmodel is imported but never used in the test file.Apply this diff to remove the unused import:
import pytest from database.facts import FactsDB -from models.facts import Fact🧰 Tools
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3-3:
models.facts.Factimported but unusedRemove unused import:
models.facts.Fact(F401)
10-21: Enhance test_create_fact with complete field validationThe current test only validates fact_id and content. Consider validating all fields to ensure data integrity.
Apply this diff to improve the test:
async def test_create_fact(self, facts_db): fact_data = { "fact_id": "test_fact_1", "user_id": "test_user_1", "content": "The sky is blue", "confidence": 0.95, "source": "observation" } result = await facts_db.create_fact(fact_data) - assert result["fact_id"] == fact_data["fact_id"] - assert result["content"] == fact_data["content"] + # Verify all fields are correctly stored + for key, value in fact_data.items(): + assert result[key] == valuebackend/tests/database/test_memories.py (5)
1-4: Remove unused importsThe
MemoryandMemoryTypeimports are not used in the test file. Consider removing them to keep the imports clean.import pytest from database.memories import MemoriesDB -from models.memory import Memory, MemoryType🧰 Tools
🪛 Ruff
3-3:
models.memory.Memoryimported but unusedRemove unused import
(F401)
3-3:
models.memory.MemoryTypeimported but unusedRemove unused import
(F401)
6-9: Consider optimizing fixture scopeThe
memories_dbfixture could benefit from a broader scope if the database state doesn't need to be reset between tests. This would improve test execution time.- @pytest.fixture + @pytest.fixture(scope="class") def memories_db(self, db_client): return MemoriesDB(db_client)
10-21: Enhance test data managementConsider moving the test data to fixtures or constants to improve maintainability and reusability across tests.
@pytest.fixture def sample_memory_data(): return { "memory_id": "test_memory_1", "user_id": "test_user_1", "type": "audio", "content": "Had a chat about weather", "timestamp": "2024-03-20T10:00:00Z" }
44-49: Strengthen search test assertionsThe current search test could be more robust:
- Add test cases for case-insensitive search
- Test partial word matches
- Verify all returned fields
- Test with multiple results
Example:
async def test_search_memories_comprehensive(self, memories_db): # Test case sensitivity results_upper = await memories_db.search_memories(user_id, "WEATHER") results_lower = await memories_db.search_memories(user_id, "weather") assert len(results_upper) == len(results_lower) # Test partial matches results = await memories_db.search_memories(user_id, "weath") assert len(results) > 0
34-43: Verify all memory fields in update testThe update test should verify that non-updated fields remain unchanged.
async def test_update_memory(self, memories_db): memory_id = "test_memory_1" + # Get original memory + original = await memories_db.get_memory(memory_id) updates = { "importance": 0.8, "processed": True } updated = await memories_db.update_memory(memory_id, updates) assert updated["importance"] == updates["importance"] assert updated["processed"] == updates["processed"] + # Verify other fields remained unchanged + assert updated["content"] == original["content"] + assert updated["user_id"] == original["user_id"]backend/models/chat.py (3)
66-67: Remove extra blank lineOnly one blank line is needed between class definitions.
class SendMessageRequest(BaseModel): text: str - class ChatMessage(BaseModel):
74-75: Remove extra blank lineOnly one blank line is needed between class definitions.
created_at: Optional[datetime] = None - class ChatSession(BaseModel):
76-79: Enhance ChatSession model with better documentation and additional metadataConsider the following improvements:
- Add field descriptions
- Default
created_atto current time- Consider adding useful metadata like session status and last activity timestamp
class ChatSession(BaseModel): - session_id: str - user_id: str - created_at: datetime + """Represents a chat session between a user and the system.""" + session_id: str = Field(..., description="Unique identifier for the chat session") + user_id: str = Field(..., description="ID of the user who owns this session") + created_at: datetime = Field(default_factory=datetime.utcnow, description="Timestamp of session creation") + last_activity: datetime = Field(default_factory=datetime.utcnow, description="Timestamp of last message in session") + status: str = Field(default="active", description="Current status of the chat session")backend/tests/security/test_uploads.py (2)
6-12: Consider enhancing authentication test coverage.The basic authentication test is well-implemented. Consider expanding it to cover additional scenarios:
- Invalid token formats
- Expired tokens
- Tokens with insufficient permissions
Also, consider extracting the endpoint URL into a constant to maintain DRY principles if this URL is used across multiple tests.
+# At the top of the file +UPLOAD_ENDPOINT = "/speech_profile/v3/upload-audio" @pytest.mark.asyncio async def test_upload_requires_auth(client): """Test that upload endpoint requires authentication""" files = {"file": ("test.wav", b"test", "audio/wav")} - response = client.post("/speech_profile/v3/upload-audio", files=files) + response = client.post(UPLOAD_ENDPOINT, files=files) assert response.status_code == 401 assert response.json()["detail"] == "Authorization header not found"
38-40: Remove debug print statements.Debug print statements should be removed from the test code.
- print(f"\nUpload response: {response.status_code}") - print(f"Response body: {response.text}") - print(f"Response headers: {response.headers}")backend/tests/security/test_auth.py (2)
1-3: Remove unused import.The
HTTPExceptionimport is not used in any of the test functions.import pytest -from fastapi import HTTPException🧰 Tools
🪛 Ruff
2-2:
fastapi.HTTPExceptionimported but unusedRemove unused import:
fastapi.HTTPException(F401)
11-31: Consider using pytest.mark.parametrize for better test organization.While the current implementation is functional, using
pytest.mark.parametrizewould:
- Provide clearer test failure reports
- Allow individual endpoint tests to run independently
- Remove the need for the debug print statement
-@pytest.mark.asyncio -async def test_unauthorized_access(client): - """Test that endpoints require authentication""" - # Test a few key endpoints that should require auth - endpoints = [ - ("/memories/v1/memories", {"limit": "10", "offset": "0"}), - ("/facts/v1/facts", {"limit": "10", "offset": "0"}), - ("/chat/v1/messages", {"limit": "10", "offset": "0"}), - ("/plugins/v2/plugins", {}), - ("/speech_profile/v3/speech-profile", None), - ("/users/v1/users/people", None), - ("/processing_memories/v1/processing-memories", None), - ("/trends/v1/trends", None), - ] - - for endpoint, params in endpoints: - response = client.get(endpoint, params=params if params else {}) - print(f"Testing {endpoint}: {response.status_code}") - assert response.status_code == 401 - assert response.json()["detail"] == "Authorization header not found" +@pytest.mark.asyncio +@pytest.mark.parametrize("endpoint,params", [ + ("/memories/v1/memories", {"limit": "10", "offset": "0"}), + ("/facts/v1/facts", {"limit": "10", "offset": "0"}), + ("/chat/v1/messages", {"limit": "10", "offset": "0"}), + ("/plugins/v2/plugins", {}), + ("/speech_profile/v3/speech-profile", None), + ("/users/v1/users/people", None), + ("/processing_memories/v1/processing-memories", None), + ("/trends/v1/trends", None), +]) +async def test_unauthorized_access(client, endpoint, params): + """Test that endpoints require authentication""" + response = client.get(endpoint, params=params if params else {}) + assert response.status_code == 401 + assert response.json()["detail"] == "Authorization header not found"backend/utils/validation.py (3)
3-8: Update return type annotation to be more accurate.The function can either return True or raise an HTTPException, making the return type annotation potentially misleading.
Consider updating the type hint to indicate this behavior:
-def validate_uid(uid: str) -> bool: +def validate_uid(uid: str) -> True: # Raises HTTPException on invalid inputOtherwise, the implementation looks good with proper validation and error handling.
🧰 Tools
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6-6: Undefined name
HTTPException(F821)
13-21: Enhance audio file validation.The current WAV header validation is basic and might not catch all invalid files.
Consider these improvements:
def validate_audio_file(file_content: bytes, max_size_mb: int = 10) -> bool: """Validate audio file content and size""" if len(file_content) > max_size_mb * 1024 * 1024: raise HTTPException(status_code=413, detail="File too large") - # Check WAV header - if not file_content.startswith(b'RIFF') or b'WAVE' not in file_content[:12]: + # Comprehensive WAV header validation + if len(file_content) < 44: # Minimum WAV header size + raise HTTPException(status_code=400, detail="File too small to be a valid WAV") + + if not (file_content.startswith(b'RIFF') and + file_content[8:12] == b'WAVE' and + file_content[12:16] == b'fmt '): raise HTTPException(status_code=400, detail="Invalid audio file format") + + # Validate chunk size from header matches file size + chunk_size = int.from_bytes(file_content[4:8], 'little') + if chunk_size + 8 != len(file_content): + raise HTTPException(status_code=400, detail="Corrupted WAV file") + return True🧰 Tools
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16-16: Undefined name
HTTPException(F821)
20-20: Undefined name
HTTPException(F821)
22-75: Simplify email validation and improve error handling.While the implementation is thorough, it could benefit from some improvements:
- The bare
exceptclause could hide specific issues- The regex validation could be simplified
- The return statement could be more concise
Consider this improved implementation:
def validate_email(email) -> bool: """ Validate an email address. Args: email: The email address to validate Returns: bool: True if email is valid, False otherwise """ if not isinstance(email, str): return False try: - # Basic checks if not email or len(email) > 254: return False - # Split into local and domain parts parts = email.split('@') if len(parts) != 2: # Must have exactly one @ return False local, domain = parts - # Local part checks if not local or len(local) > 64 or ' ' in local: return False - # Domain checks if not domain or '.' not in domain: return False domain_parts = domain.split('.') if len(domain_parts) < 2: return False - # Each domain part must be valid for part in domain_parts: - if not part or len(part) < 1: + if not part: return False if part.startswith('-') or part.endswith('-'): return False if not re.match(r'^[a-zA-Z0-9-]+$', part): return False - # Local part must contain only allowed characters - if not re.match(r'^[a-zA-Z0-9.!#$%&\'*+/=?^_`{|}~-]+$', local): - return False - - return True - - except Exception: + # Use a single regex for local part validation + return bool(re.match(r'^[a-zA-Z0-9.!#$%&\'*+/=?^_`{|}~-]+$', local)) + + except (AttributeError, TypeError, ValueError) as e: + # Log specific exceptions for debugging + print(f"Email validation error: {str(e)}") return False🧰 Tools
🪛 Ruff
69-72: Return the negated condition directly
Inline condition
(SIM103)
backend/tests/utils/test_llm.py (3)
1-13: Remove unused imports until needed.While these imports might be intended for future tests, it's better to add them when implementing those tests to maintain clean code.
import pytest -from unittest.mock import patch, MagicMock from utils.llm import ( requires_context, answer_simple_message, - retrieve_context_dates, - qa_rag, - select_structured_filters, - extract_question_from_conversation + retrieve_context_dates ) from models.chat import Message from datetime import datetime, timezone🧰 Tools
🪛 Ruff
2-2:
unittest.mock.patchimported but unusedRemove unused import
(F401)
2-2:
unittest.mock.MagicMockimported but unusedRemove unused import
(F401)
7-7:
utils.llm.qa_ragimported but unusedRemove unused import
(F401)
8-8:
utils.llm.select_structured_filtersimported but unusedRemove unused import
(F401)
9-9:
utils.llm.extract_question_from_conversationimported but unusedRemove unused import
(F401)
14-31: Consider enhancing the fixture for better test coverage.The fixture is well-structured but could be more versatile. Consider:
- Adding parameters to generate different message scenarios
- Including more diverse message types and content
@pytest.fixture -def sample_messages(): +def sample_messages(request): + """ + Fixture to generate sample messages for testing. + + Args: + scenario (str): The type of messages to generate (basic, context_required, etc.) + """ return [ Message( id="1", text="Hello!", created_at=datetime.now(timezone.utc), sender="human", - type="text" + type=getattr(request, "param", {}).get("type", "text") ), Message( id="2", text="Hi there!", created_at=datetime.now(timezone.utc), sender="assistant", type="text" ) ]
83-83: Implement missing tests for complete coverage.The TODO comment indicates missing tests for
qa_ragandselect_structured_filters. These are critical functions that should be tested.Would you like me to help implement these tests or create GitHub issues to track them? I can provide test implementations that cover:
- Basic functionality
- Edge cases
- Error scenarios
- Performance considerations
.gitignore (1)
26-29: LGTM! Consider making coverage patterns more Python-specific.The coverage patterns are well-structured and follow standard
.gitignoreconventions. They will effectively prevent coverage reports from being tracked by Git.Consider making the patterns more specific to Python coverage tools to avoid potential conflicts with other tools:
# Coverage -*/coverage/ -*/htmlcov/ -*.coverage +*/.coverage +*/htmlcov/ +*/.pytest_cache/ +*/coverage.xmlThis change:
- Adds
.pytest_cache/for pytest cache files- Adds
coverage.xmlfor XML coverage reports- Changes
*.coverageto.coverageto match Python's coverage.py outputbackend/tests/database/test_processing_memories.py (2)
12-47: Simplify the fixture using a single with statement.The fixture effectively mocks Firestore operations, but the nested
withstatements can be combined for better readability.@pytest.fixture def mock_firestore(): """Mock firestore with proper collection group queries""" - with patch('database._client._db', None): # Reset singleton - with patch('database._client.firestore.Client') as mock_client: + with patch('database._client._db', None), patch('database._client.firestore.Client') as mock_client: # Reset singleton🧰 Tools
🪛 Ruff
15-16: Use a single
withstatement with multiple contexts instead of nestedwithstatements(SIM117)
79-90: Enhance query test coverage.The current test only covers the basic case of filtering by state. Consider adding tests for:
- Empty result sets
- Multiple states
- Pagination scenarios
- Invalid state values
Would you like me to help generate these additional test cases to improve coverage?
backend/tests/database/test_chat.py (4)
1-4: Remove unused importChatSession.The
ChatSessionimport is not used in the test file.import pytest from database.chat import ChatDB -from models.chat import ChatMessage, ChatSession +from models.chat import ChatMessage🧰 Tools
🪛 Ruff
3-3:
models.chat.ChatSessionimported but unusedRemove unused import:
models.chat.ChatSession(F401)
5-9: Consider adding type hints to the fixture.The fixture setup is correct, but adding type hints would improve code clarity and IDE support.
@pytest.fixture -def chat_db(self, db_client): +def chat_db(self, db_client) -> ChatDB: return ChatDB(db_client)
10-25: Enhance test coverage for chat session operations.While the basic test cases are good, consider adding:
- Validation for the
created_attimestamp format- Negative test cases (e.g., invalid session_id)
- Edge cases (e.g., empty user_id)
Would you like me to provide example implementations for these additional test cases?
43-54: Enhance metadata validation in session creation tests.Consider adding test cases to verify:
- Which fields are required vs optional
- Handling of null/empty metadata fields
- Maximum length constraints for title/description
backend/README.md (6)
5-20: Consider adding version requirements for all prerequisites.While Python version is specified (3.11), adding minimum version requirements for other tools (ffmpeg, opus, Google Cloud SDK) would help users ensure compatibility.
### Required Software - Python 3.11 - - ffmpeg - - opus - - Google Cloud SDK (and a Google Cloud Project with billing enabled) + - ffmpeg (>= 4.0) + - opus (>= 1.3) + - Google Cloud SDK (>= 428.0.0)
30-31: Fix section numbering for consistency.The section numbering restarts at "1." for Google Cloud Setup. This should be "2." to maintain consistent numbering throughout the installation steps.
-### 1. Google Cloud Setup +### 2. Google Cloud Setup
79-93: Add example values for environment variables.Consider adding example values (with placeholders) for each environment variable to help users understand the expected format.
1. Required Environment Variables: - - `GOOGLE_APPLICATION_CREDENTIALS`: Path to google-credentials.json + - `GOOGLE_APPLICATION_CREDENTIALS`: Path to google-credentials.json (e.g., "/path/to/google-credentials.json") - - `BUCKET_SPEECH_PROFILES`: GCS bucket for speech profiles + - `BUCKET_SPEECH_PROFILES`: GCS bucket for speech profiles (e.g., "my-project-speech-profiles")
108-108: Fix step numbering in Running Instructions section.The step numbering jumps from 2 to 4, which could confuse users.
-4. Start the server: +3. Start the server:
102-102: Replace hard tab with spaces.Replace the hard tab with spaces to maintain consistent formatting throughout the document.
🧰 Tools
🪛 Markdownlint
102-102: Column: 1
Hard tabs(MD010, no-hard-tabs)
101-107: Add security note for ngrok usage.Consider adding a security note about ngrok exposure and recommended practices for production environments.
2. Launch ngrok: > During the onboarding flow, under the `Static Domain` section, Ngrok should provide you with a static domain and a command to point your localhost to that static domain. Replace the port from 80 to 8000 in that command and run it in your terminal. ```bash ngrok http --domain=your-domain.ngrok-free.app 8000 ``` > Replace your-domain with your ngrok static domain + > ⚠️ Note: ngrok exposes your local server to the internet. For production environments, use appropriate security measures and consider using a proper reverse proxy setup.🧰 Tools
🪛 Markdownlint
102-102: Column: 1
Hard tabs(MD010, no-hard-tabs)
backend/Makefile (3)
1-29: Consider enhancing the setup robustness.The basic setup is comprehensive, but could benefit from additional safeguards:
# Variables PYTHON = python3 +MIN_PYTHON_VERSION = 3.8 VENV = .venv PIP = $(VENV)/bin/pip # Environment Setup .PHONY: setup -setup: $(VENV)/bin/activate install-deps install-test-deps +setup: python-version-check $(VENV)/bin/activate install-deps install-test-deps + +.PHONY: python-version-check +python-version-check: + @$(PYTHON) -c "import sys; assert sys.version_info >= ($(MIN_PYTHON_VERSION),), f'Python $(MIN_PYTHON_VERSION)+ is required'"
30-53: Enhance development configuration flexibility.The development setup could be more configurable:
+# Configuration +PORT ?= 8000 +HOST ?= 0.0.0.0 + # Development .PHONY: run run: - ENABLE_SWAGGER=true $(UVICORN) main:app --reload --env-file .env + ENABLE_SWAGGER=true $(UVICORN) main:app --reload --host $(HOST) --port $(PORT) --env-file .envAlso consider adding
.coverage.*to the clean target for parallel test coverage files.
120-157: Improve environment validation and help documentation.Consider enhancing the environment checks and help target:
# Environment +ENV_VARS := BUCKET_MEMORIES_RECORDINGS BUCKET_POSTPROCESSING BUCKET_TEMPORAL_SYNC_LOCAL + .PHONY: env-check env-check: @if [ ! -f .env ]; then \ echo "Error: .env file not found"; \ echo "Creating from template..."; \ cp .env.template .env; \ fi @echo "Checking required environment variables..." - @grep -v '^#' .env.template | grep '=' | cut -d '=' -f1 | while read -r var; do \ + @for var in $(ENV_VARS); do \ if ! grep -q "^$$var=" .env; then \ echo "Warning: $$var is not set in .env file"; \ + elif ! grep -q "^$$var=." .env; then \ + echo "Warning: $$var is empty in .env file"; \ fi \ done # Help .PHONY: help help: - @echo "Available commands:" - @echo " setup - Create virtual environment and install dependencies" + @echo "Available commands: (run 'make <cmd>')" + @grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | sort | awk 'BEGIN {FS = ":.*?## "}; {printf " \033[36m%-15s\033[0m %s\n", $$1, $$2}'backend/database/chat.py (3)
7-7: Remove unused importChatSession.The
ChatSessionimport is not used in the current implementation.-from models.chat import Message, ChatMessage, ChatSession +from models.chat import Message, ChatMessage🧰 Tools
🪛 Ruff
7-7:
models.chat.ChatSessionimported but unusedRemove unused import:
models.chat.ChatSession(F401)
Line range hint
34-150: Consider migrating legacy functions to the new ChatDB class.The codebase currently maintains two different implementations for chat operations:
- New async
ChatDBclass with MongoDB-style operations- Legacy sync functions with Firestore operations
This duplication could lead to maintenance issues and inconsistencies.
Consider:
- Migrating the legacy functions to use the new
ChatDBclass- Creating a migration plan for existing data
- Deprecating the old functions once migration is complete
Would you like me to help create a migration plan or open an issue to track this work?
🧰 Tools
🪛 Ruff
7-7:
models.chat.ChatSessionimported but unusedRemove unused import:
models.chat.ChatSession(F401)
Line range hint
108-150: Improve batch deletion implementation.The current batch deletion implementation has several potential issues:
- No timeout handling for long-running operations
- Memory usage could grow with large message counts
- No progress tracking or logging for debugging
def batch_delete_messages(parent_doc_ref, batch_size=450): + start_time = datetime.now(timezone.utc) + deleted_count = 0 messages_ref = parent_doc_ref.collection('messages') last_doc = None # For pagination while True: + if (datetime.now(timezone.utc) - start_time).seconds > 300: # 5 min timeout + print(f"Timeout reached after deleting {deleted_count} messages") + break + if last_doc: docs = messages_ref.limit(batch_size).start_after(last_doc).stream() else: docs = messages_ref.limit(batch_size).stream() docs_list = list(docs) if not docs_list: - print("No more messages to delete") + print(f"Completed: {deleted_count} messages deleted") break batch = db.batch() for doc in docs_list: batch.update(doc.reference, {'deleted': True}) batch.commit() + deleted_count += len(docs_list) + print(f"Progress: {deleted_count} messages processed") if len(docs_list) < batch_size: - print("Processed all messages") + print(f"Completed: {deleted_count} messages deleted") break last_doc = docs_list[-1]🧰 Tools
🪛 Ruff
7-7:
models.chat.ChatSessionimported but unusedRemove unused import:
models.chat.ChatSession(F401)
backend/utils/stt/vad.py (3)
22-44: Consider enhancing error handling and caching strategy.While the function nicely encapsulates model loading logic, consider these improvements:
- Add specific error handling for different failure scenarios (network issues, authentication failures)
- Implement a retry mechanism for transient failures
- Consider caching the model to disk to avoid redownloading
Here's a suggested implementation:
def load_silero_vad(): """Load the Silero VAD model with proper error handling""" try: # Set up GitHub authentication if token exists if github_token := os.environ.get('GITHUB_TOKEN'): print("VAD: Configuring GitHub token") os.environ['GITHUB_TOKEN'] = github_token print("VAD: Loading Silero model") + cache_path = os.path.join('pretrained_models', 'silero_vad.pt') + if os.path.exists(cache_path): + print("VAD: Loading model from cache") + return torch.load(cache_path) + + for attempt in range(3): # Retry logic + try: model, utils = torch.hub.load( repo_or_dir='snakers4/silero-vad', model='silero_vad', force_reload=False, trust_repo=True, verbose=False ) + # Cache the model + torch.save((model, utils), cache_path) print("VAD: Model loaded successfully") return model, utils + except requests.exceptions.RequestException as e: + if attempt == 2: # Last attempt + raise HTTPException( + status_code=503, + detail=f"Failed to load VAD model after 3 attempts: {str(e)}" + ) + print(f"VAD: Attempt {attempt + 1} failed, retrying...") - except Exception as e: + except (torch.hub.HubException, OSError) as e: print(f"VAD: Error loading Silero model: {e}") - raise + raise HTTPException( + status_code=500, + detail=f"Failed to initialize VAD model: {str(e)}" + )
45-47: Consider implementing lazy loading pattern.Loading the model at module level could cause import-time side effects and make testing harder. Consider implementing a lazy loading pattern:
-# Load the model once at module level -model, utils = load_silero_vad() +_model = None +_utils = None + +def get_model(): + global _model, _utils + if _model is None: + _model, _utils = load_silero_vad() + return _model, _utils
116-116: Add docstring to clarify function behavior.The function signature has been improved with type hints, but it lacks documentation about its behavior and parameters.
Add a descriptive docstring:
def apply_vad_for_speech_profile(file_path: str) -> List[Tuple[float, float]]: + """Process audio file to detect and trim silence while preserving speech segments. + + Args: + file_path: Path to the input audio file (WAV format) + + Returns: + List[Tuple[float, float]]: List of (start, end) timestamps for speech segments + + Raises: + HTTPException: If the audio file contains no speech + """backend/tests/database/test_auth.py (3)
6-33: Enhance the mock_firestore fixture.Consider these improvements:
- Combine nested
withstatements- Add type hints for better code maintainability
Here's the suggested implementation:
@pytest.fixture -def mock_firestore(): +def mock_firestore() -> MagicMock: """Mock firestore with proper document references""" - with patch('database._client._db', None): # Reset singleton - with patch('database._client.firestore.Client') as mock_client: + with patch('database._client._db', None), \ # Reset singleton + patch('database._client.firestore.Client') as mock_client: # Create mock document mock_doc = MagicMock()🧰 Tools
🪛 Ruff
9-10: Use a single
withstatement with multiple contexts instead of nestedwithstatements(SIM117)
54-103: Consider adding edge cases for update_user.The CRUD tests are well-structured, but
test_update_usercould benefit from additional scenarios:
- Updating non-existent user
- Partial updates
- Invalid data format
Would you like me to provide example test cases for these scenarios?
104-117: Enhance token validation test coverage.Consider adding tests for these scenarios:
- Expired tokens
- Malformed tokens
- Tokens with insufficient permissions
Here's an example test case for expired tokens:
def test_validate_expired_token(self, mock_firebase_auth): mock_firebase_auth.verify_id_token.side_effect = Exception("Token has expired") with pytest.raises(HTTPException) as exc: validate_token("expired_token") assert exc.value.status_code == 401 assert "Token has expired" in str(exc.value.detail)backend/routers/auth.py (1)
1-6: Remove unused importHTTPException.The
HTTPExceptionimport is not used in the code.-from fastapi import APIRouter, HTTPException +from fastapi import APIRouter🧰 Tools
🪛 Ruff
1-1:
fastapi.HTTPExceptionimported but unusedRemove unused import:
fastapi.HTTPException(F401)
docs/docs/get_started/backend/Backend_Setup.mdx (4)
75-75: Consider combining the cd commands.While the current command works, you could make it more efficient by combining the directory changes.
-cd Omi -cd backend +cd Omi/backend
104-104: LGTM! Clear ngrok command example.The command correctly demonstrates the newer ngrok syntax with the --domain flag. Consider adding a note that users should replace "example.ngrok-free.app" with their actual ngrok domain.
111-111: LGTM! Comprehensive uvicorn command with well-documented options.The command and its explanation are clear. However, consider adding a note that the
--reloadflag should only be used in development, not in production, for security reasons.
142-145: Enhance environment variable descriptions.While the new bucket variables are well-organized, consider adding more details to help users understand:
- The type of files stored in each bucket
- The lifecycle of the data (especially for temporal sync files)
- Recommended bucket configurations (e.g., lifecycle policies, access controls)
Example enhancement:
-**`BUCKET_MEMORIES_RECORDINGS`:** The name of the Google Cloud Storage bucket where memory recordings are stored +**`BUCKET_MEMORIES_RECORDINGS`:** The name of the Google Cloud Storage bucket for storing audio recordings of memories. These recordings are processed and transcribed for long-term storage. -**`BUCKET_POSTPROCESSING`:** The name of the Google Cloud Storage bucket where post-processing files are stored +**`BUCKET_POSTPROCESSING`:** The name of the Google Cloud Storage bucket for storing intermediate files during audio processing. Consider setting up a lifecycle policy to automatically delete old files. -**`BUCKET_TEMPORAL_SYNC_LOCAL`:** _(optional)_ The name of the Google Cloud Storage bucket where temporary sync files are stored +**`BUCKET_TEMPORAL_SYNC_LOCAL`:** _(optional)_ The name of the Google Cloud Storage bucket for temporary synchronization files between local and cloud storage. Files are typically deleted after successful sync. -**`BUCKET_BACKUPS`:** _(optional)_ The name of the Google Cloud Storage bucket where backups are stored +**`BUCKET_BACKUPS`:** _(optional)_ The name of the Google Cloud Storage bucket for storing system backups. Recommended to set up versioning and appropriate retention policies.backend/database/tasks.py (1)
7-7: Add type hints to the__init__method parameterConsider adding a type annotation to the
db_clientparameter for better code clarity and type checking.Apply this diff:
-def __init__(self, db_client): +def __init__(self, db_client: DatabaseClientType):Replace
DatabaseClientTypewith the actual type ofdb_client.backend/database/auth.py (4)
13-20: Enhance error handling inget_userWhile
get_userchecks for the existence of the user document, it does not handle potential exceptions from Firestore operations, which could lead to unhandled exceptions and a poor user experience.Consider adding error handling:
def get_user(uid: str) -> dict: """Get user document by ID""" db = get_firestore() user_ref = db.collection('users').document(uid) + try: user_doc = user_ref.get() + except Exception as e: + raise HTTPException(status_code=500, detail="Failed to retrieve user") from e if not user_doc.exists: raise HTTPException(status_code=404, detail="User not found") return user_doc.to_dict()
22-26: Implement error handling indelete_userThe
delete_userfunction lacks exception handling for Firestore operations, which could result in unhandled exceptions.Add a try-except block:
def delete_user(uid: str): """Delete user document""" db = get_firestore() user_ref = db.collection('users').document(uid) + try: user_ref.delete() + except Exception as e: + raise HTTPException(status_code=500, detail="Failed to delete user") from e
28-32: Add error handling toupdate_userfunctionTo ensure the
update_userfunction handles exceptions from Firestore operations, consider wrappinguser_ref.update(user_data)in a try-except block.Here's the suggested change:
def update_user(uid: str, user_data: dict): """Update user document""" db = get_firestore() user_ref = db.collection('users').document(uid) + try: user_ref.update(user_data) + except Exception as e: + raise HTTPException(status_code=500, detail="Failed to update user") from e
3-3: Remove unused importget_cached_user_nameThe function
get_cached_user_nameis imported but not used in this module. Removing unused imports helps keep the code clean and maintainable.Apply this diff to remove the unused import:
-from database.redis_db import cache_user_name, get_cached_user_name +from database.redis_db import cache_user_name🧰 Tools
🪛 Ruff
3-3:
database.redis_db.get_cached_user_nameimported but unusedRemove unused import:
database.redis_db.get_cached_user_name(F401)
backend/database/_client.py (1)
58-63: Avoid using global variables for Firestore clientUsing a global variable
_dbcan lead to code that is harder to maintain and test. Consider refactoring to use a class or a singleton pattern to manage the Firestore client instance.backend/database/facts.py (2)
26-29: Adjust Return Type ofupdate_facttoOptional[dict]The method
update_factrelies onget_fact, which returns anOptional[dict]. Therefore,update_factmay also returnNoneif thefact_iddoes not exist. Consider updating the return type annotation toOptional[dict]to accurately reflect this possibility.async def update_fact(self, fact_id: str, updates: dict) -> dict: await self.collection.update_one({"fact_id": fact_id}, {"$set": updates}) - return await self.get_fact(fact_id) + return await self.get_fact(fact_id)
10-29: Consider Refactoring to Avoid Code DuplicationThe
FactsDBclass methods replicate functionality already provided by the existing standalone functions (e.g.,create_fact,get_fact). To improve maintainability and reduce code duplication, consider consolidating these implementations. You could refactor the standalone functions to utilize theFactsDBclass methods or vice versa.backend/tests/database/test_client.py (1)
10-11: Combine nestedwithstatements into a single context manager.To improve readability and avoid unnecessary nesting, you can combine the nested
withstatements into a single line.Apply this diff to combine the
withstatements:- with patch('database._client._db', None): # Reset singleton - with patch('database._client.firestore.Client') as mock: + with patch('database._client._db', None), \ + patch('database._client.firestore.Client') as mock:🧰 Tools
🪛 Ruff
10-11: Use a single
withstatement with multiple contexts instead of nestedwithstatements(SIM117)
backend/main.py (3)
11-12: Remove unused importsplistlibandPathThe imports
plistlibandPathare not used in the code and can be removed to clean up the imports.Apply this diff to remove the unused imports:
-import plistlib -from pathlib import Path🧰 Tools
🪛 Ruff
11-11:
plistlibimported but unusedRemove unused import:
plistlib(F401)
12-12:
pathlib.Pathimported but unusedRemove unused import:
pathlib.Path(F401)
86-86: Remove unnecessaryfprefix in string literalThe string on line 86 is an f-string without any placeholders. The
fprefix is unnecessary and can be removed.Apply this diff to fix the issue:
- return f"""User-agent: *\nDisallow: /""" + return """User-agent: *\nDisallow: /"""🧰 Tools
🪛 Ruff
86-86: f-string without any placeholders
Remove extraneous
fprefix(F541)
25-25: Use logging instead of print statementsUsing the
loggingmodule instead ofApply these changes to replace
logging:Add the logging import and basic configuration (outside selected lines):
import logging logging.basicConfig(level=logging.INFO)Replace the
- print("\nFastAPI: Starting initialization...") + logging.info("FastAPI: Starting initialization...") - print("FastAPI: Firebase initialized") + logging.info("FastAPI: Firebase initialized") - print("FastAPI: Created required directories") + logging.info("FastAPI: Created required directories") - print("\n" + "="*50) - print("🚀 Backend ready and running!") - print("="*50 + "\n") + logging.info("\n" + "="*50) + logging.info("🚀 Backend ready and running!") + logging.info("="*50 + "\n")Also applies to: 30-30, 180-180, 183-185
backend/utils/other/storage.py (2)
10-10: Move the initialization print statement inside theinitialize_storagefunctionHaving a print statement at the module level executes during import, which may not be desirable and can lead to unwanted output or side effects. Consider moving the print statement inside the
initialize_storagefunction to ensure it runs only when the function is called.Apply this diff to move the print statement:
8 from database._client import project_id 9 -10 print(f"Storage: Initializing with project ID: {project_id}") 11 12 def initialize_storage(): +13 print(f"Storage: Initializing with project ID: {project_id}")
54-63: Use theloggingmodule instead of print statements for better log managementReplacing
loggingmodule functions allows for configurable log levels and better integration with production logging systems. This change improves maintainability and provides more control over the output.Apply the following changes:
- Import the logging module at the top of the file:
+import logging import os from typing import List
- Replace
At line 54:
52 client.get_bucket(bucket_id) 53 except Exception as e: -54 print(f"Warning: Optional bucket '{bucket_name}' ({bucket_id}) is not accessible: {str(e)}") +54 logging.warning(f"Optional bucket '{bucket_name}' ({bucket_id}) is not accessible: {str(e)}")At line 57:
56 -57 print("Storage: Using buckets:") +57 logging.info("Storage: Using buckets:")At lines 59-62:
58 for name, bucket_id in required_buckets: 59 print(f" - {name} (required): {bucket_id}") 60 for name, bucket_id in optional_buckets: 61 if bucket_id: -62 print(f" - {name} (optional): {bucket_id}") +62 logging.info(f" - {name} (optional): {bucket_id}")backend/database/memories.py (2)
354-357: Optimizecreate_memoryby avoiding unnecessary database readAfter inserting the memory document, the code performs an additional database read to retrieve the inserted document. Since you already have the
memory_data, you can return it directly after adding the inserted ID, which improves performance by eliminating an extra database call.Apply this diff to modify the method:
async def create_memory(self, memory_data: dict) -> dict: result = await self.collection.insert_one(memory_data) - return await self.collection.find_one({"_id": result.inserted_id}) + memory_data['_id'] = result.inserted_id + return memory_data
361-364: Implement pagination inget_user_memoriesto handle large datasetsFetching all memories for a user without pagination can lead to high memory usage and slow response times if the user has a large number of memories. Implementing pagination improves scalability and user experience.
Update the method to include
limitandskipparameters:async def get_user_memories(self, user_id: str, limit: int = 100, skip: int = 0) -> List[dict]: cursor = self.collection.find({"user_id": user_id}) + cursor = cursor.skip(skip).limit(limit) return await cursor.to_list(length=limit)backend/tests/conftest.py (6)
4-4: Remove unused importmock_open.The
mock_openfunction fromunittest.mockis imported but not used in the file. Removing it will clean up the imports.Apply this diff:
-from unittest.mock import patch, MagicMock, mock_open, Mock +from unittest.mock import patch, MagicMock, Mock🧰 Tools
🪛 Ruff
4-4:
unittest.mock.mock_openimported but unusedRemove unused import:
unittest.mock.mock_open(F401)
16-16: Remove unused importvalidate_email.The
validate_emailfunction fromutils.validationis imported but not used in the file. Removing it will clean up the imports.Apply this diff:
-from utils.validation import validate_email🧰 Tools
🪛 Ruff
16-16:
utils.validation.validate_emailimported but unusedRemove unused import:
utils.validation.validate_email(F401)
450-450: Remove unused importTestClient.The
TestClientclass fromfastapi.testclientis imported but not used in the file. Since you're usingMockTestClient, this import is unnecessary.Apply this diff:
-from fastapi.testclient import TestClient🧰 Tools
🪛 Ruff
450-450:
fastapi.testclient.TestClientimported but unusedRemove unused import:
fastapi.testclient.TestClient(F401)
553-578: Refactormock_to_listto use a dictionary.Using a dictionary to map
collection_typeto the corresponding data improves readability and maintainability over consecutiveifstatements.Here is a suggested refactor:
async def mock_to_list(length=None): collection_responses = { 'messages': [{ "session_id": "test_session_1", "message_id": "test_message_1", "content": "Hello, world!", "role": "user" }], 'facts': [{ "fact_id": "test_fact_1", "user_id": "test_user_1", "content": "The sky is blue", "confidence": 0.95 }], 'memories': [{ "memory_id": "test_memory_1", "user_id": "test_user_1", "type": "audio", "content": "Had a chat about weather" }] } return collection_responses.get(mock_to_list.collection_type, [{"_id": "test_id", "session_id": "test_session_1"}])🧰 Tools
🪛 Ruff
556-576: Use a dictionary instead of consecutive
ifstatements(SIM116)
597-597: Replacesetattrwith direct assignment.Using
setattrwith a constant attribute name is unnecessary. Assign the attribute directly for clarity.Apply this diff:
-setattr(mock_to_list, 'collection_type', name) +mock_to_list.collection_type = name🧰 Tools
🪛 Ruff
597-597: Do not call
setattrwith a constant attribute value. It is not any safer than normal property access.Replace
setattrwith assignment(B010)
426-446: Remove duplicate setting of environment variables.The environment variables are set twice, once at lines 19-38 and again at lines 426-446. This duplication is unnecessary and could cause confusion. Consider removing the duplicate code.
Apply this diff to remove the duplicate settings:
-# 6. Set environment variables -os.environ.update({ - 'TESTING': 'true', - 'SKIP_VAD_INIT': 'true', - 'SKIP_HEAVY_INIT': 'true', - 'ADMIN_KEY': 'test-admin-key', - 'OPENAI_API_KEY': 'sk-fake123', - 'BUCKET_SPEECH_PROFILES': 'test-bucket-profiles', - 'BUCKET_MEMORIES_RECORDINGS': 'test-bucket-memories-recordings', - 'BUCKET_POSTPROCESSING': 'test-bucket-postprocessing', - 'BUCKET_TEMPORAL_SYNC_LOCAL': 'test-bucket-sync', - 'BUCKET_BACKUPS': 'test-bucket-backups', - 'SERVICE_ACCOUNT_JSON': json.dumps({ - "type": "service_account", - "project_id": "test-project", - "private_key_id": "test-key-id", - "private_key": "test-key", - "client_email": "[email protected]", - "client_id": "test-client-id", - }) -})
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📒 Files selected for processing (48)
.gitignore(1 hunks).python-version(1 hunks)backend/.env.template(1 hunks)backend/.python-version(1 hunks)backend/Makefile(1 hunks)backend/README.md(1 hunks)backend/config/security.py(1 hunks)backend/database/__init__.py(1 hunks)backend/database/_client.py(1 hunks)backend/database/auth.py(2 hunks)backend/database/chat.py(1 hunks)backend/database/facts.py(1 hunks)backend/database/memories.py(1 hunks)backend/database/processing_memories.py(3 hunks)backend/database/tasks.py(1 hunks)backend/main.py(2 hunks)backend/middleware/auth.py(1 hunks)backend/middleware/security_headers.py(1 hunks)backend/models/chat.py(1 hunks)backend/models/memory.py(6 hunks)backend/pytest.ini(1 hunks)backend/requirements.txt(2 hunks)backend/routers/auth.py(1 hunks)backend/tests/conftest.py(1 hunks)backend/tests/database/__init__.py(1 hunks)backend/tests/database/test_auth.py(1 hunks)backend/tests/database/test_chat.py(1 hunks)backend/tests/database/test_client.py(1 hunks)backend/tests/database/test_facts.py(1 hunks)backend/tests/database/test_memories.py(1 hunks)backend/tests/database/test_processing_memories.py(1 hunks)backend/tests/database/test_tasks.py(1 hunks)backend/tests/security/test_auth.py(1 hunks)backend/tests/security/test_uploads.py(1 hunks)backend/tests/test-credentials.json(1 hunks)backend/tests/utils/__init__.py(1 hunks)backend/tests/utils/test_llm.py(1 hunks)backend/tests/utils/test_validation.py(1 hunks)backend/utils/__init__.py(1 hunks)backend/utils/memories/__init__.py(1 hunks)backend/utils/other/__init__.py(1 hunks)backend/utils/other/storage.py(1 hunks)backend/utils/retrieval/__init__.py(1 hunks)backend/utils/stt/__init__.py(1 hunks)backend/utils/stt/vad.py(2 hunks)backend/utils/validation.py(1 hunks)docs/docs/get_started/backend/Backend_Setup.mdx(4 hunks)tests/database/__init__.py(1 hunks)
✅ Files skipped from review due to trivial changes (11)
- .python-version
- backend/.python-version
- backend/pytest.ini
- backend/tests/database/init.py
- backend/tests/utils/init.py
- backend/utils/init.py
- backend/utils/memories/init.py
- backend/utils/other/init.py
- backend/utils/retrieval/init.py
- backend/utils/stt/init.py
- tests/database/init.py
🧰 Additional context used
🪛 LanguageTool
backend/README.md
[uncategorized] ~59-~59: You might be missing the article “a” here.
Context: ...bash cd backend 2. Create Python virtual environment: ```bash pyth...
(AI_EN_LECTOR_MISSING_DETERMINER_A)
🪛 Markdownlint
backend/README.md
102-102: Column: 1
Hard tabs
(MD010, no-hard-tabs)
🪛 Ruff
backend/database/_client.py
7-7: google.oauth2.credentials imported but unused
Remove unused import: google.oauth2.credentials
(F401)
backend/database/auth.py
3-3: database.redis_db.get_cached_user_name imported but unused
Remove unused import: database.redis_db.get_cached_user_name
(F401)
40-40: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
backend/database/chat.py
7-7: models.chat.ChatSession imported but unused
Remove unused import: models.chat.ChatSession
(F401)
backend/main.py
8-8: fastapi.responses.HTMLResponse imported but unused
Remove unused import: fastapi.responses.HTMLResponse
(F401)
9-9: fastapi.staticfiles.StaticFiles imported but unused
Remove unused import: fastapi.staticfiles.StaticFiles
(F401)
11-11: plistlib imported but unused
Remove unused import: plistlib
(F401)
12-12: pathlib.Path imported but unused
Remove unused import: pathlib.Path
(F401)
22-22: fastapi.openapi.docs.get_swagger_ui_html imported but unused
Remove unused import: fastapi.openapi.docs.get_swagger_ui_html
(F401)
86-86: f-string without any placeholders
Remove extraneous f prefix
(F541)
173-173: Undefined name start_cron_job
(F821)
backend/middleware/auth.py
2-2: firebase_admin imported but unused
Remove unused import: firebase_admin
(F401)
18-18: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
backend/middleware/security_headers.py
3-3: fastapi.responses.Response imported but unused
Remove unused import: fastapi.responses.Response
(F401)
10-10: Undefined name Request
(F821)
backend/routers/auth.py
1-1: fastapi.HTTPException imported but unused
Remove unused import: fastapi.HTTPException
(F401)
backend/tests/conftest.py
4-4: unittest.mock.mock_open imported but unused
Remove unused import: unittest.mock.mock_open
(F401)
6-6: google.cloud.storage imported but unused
Remove unused import: google.cloud.storage
(F401)
16-16: utils.validation.validate_email imported but unused
Remove unused import: utils.validation.validate_email
(F401)
297-297: Redefinition of unused MockResponse from line 73
(F811)
307-307: Redefinition of unused MockTestClient from line 83
(F811)
345-345: Redefinition of unused mock_get_current_user_uid from line 118
(F811)
450-450: fastapi.testclient.TestClient imported but unused
Remove unused import: fastapi.testclient.TestClient
(F401)
556-576: Use a dictionary instead of consecutive if statements
(SIM116)
597-597: Do not call setattr with a constant attribute value. It is not any safer than normal property access.
Replace setattr with assignment
(B010)
backend/tests/database/test_auth.py
9-10: Use a single with statement with multiple contexts instead of nested with statements
(SIM117)
backend/tests/database/test_chat.py
3-3: models.chat.ChatSession imported but unused
Remove unused import: models.chat.ChatSession
(F401)
backend/tests/database/test_client.py
3-3: unittest.mock.call imported but unused
Remove unused import: unittest.mock.call
(F401)
4-4: google.cloud.firestore imported but unused
Remove unused import: google.cloud.firestore
(F401)
10-11: Use a single with statement with multiple contexts instead of nested with statements
(SIM117)
backend/tests/database/test_facts.py
3-3: models.facts.Fact imported but unused
Remove unused import: models.facts.Fact
(F401)
backend/tests/database/test_memories.py
3-3: models.memory.Memory imported but unused
Remove unused import
(F401)
3-3: models.memory.MemoryType imported but unused
Remove unused import
(F401)
backend/tests/database/test_processing_memories.py
6-6: database.processing_memories.delete_processing_memory imported but unused
Remove unused import: database.processing_memories.delete_processing_memory
(F401)
15-16: Use a single with statement with multiple contexts instead of nested with statements
(SIM117)
66-66: Local variable mock_doc is assigned to but never used
Remove assignment to unused variable mock_doc
(F841)
backend/tests/security/test_auth.py
2-2: fastapi.HTTPException imported but unused
Remove unused import: fastapi.HTTPException
(F401)
backend/tests/security/test_uploads.py
18-19: Use a single with statement with multiple contexts instead of nested with statements
(SIM117)
backend/tests/utils/test_llm.py
2-2: unittest.mock.patch imported but unused
Remove unused import
(F401)
2-2: unittest.mock.MagicMock imported but unused
Remove unused import
(F401)
7-7: utils.llm.qa_rag imported but unused
Remove unused import
(F401)
8-8: utils.llm.select_structured_filters imported but unused
Remove unused import
(F401)
9-9: utils.llm.extract_question_from_conversation imported but unused
Remove unused import
(F401)
36-42: Avoid equality comparisons to True; use if ...: for truth checks
Replace comparison
(E712)
45-51: Avoid equality comparisons to False; use if not ...: for false checks
Replace comparison
(E712)
backend/tests/utils/test_validation.py
1-1: pytest imported but unused
Remove unused import: pytest
(F401)
7-7: Avoid equality comparisons to True; use if validate_email("[email protected]"): for truth checks
Replace with validate_email("[email protected]")
(E712)
8-8: Avoid equality comparisons to True; use if validate_email("[email protected]"): for truth checks
Replace with validate_email("[email protected]")
(E712)
9-9: Avoid equality comparisons to True; use if validate_email("[email protected]"): for truth checks
Replace with validate_email("[email protected]")
(E712)
12-12: Avoid equality comparisons to False; use if not validate_email(""): for false checks
Replace with not validate_email("")
(E712)
13-13: Avoid equality comparisons to False; use if not validate_email("not_an_email"): for false checks
Replace with not validate_email("not_an_email")
(E712)
14-14: Avoid equality comparisons to False; use if not validate_email("missing@domain"): for false checks
Replace with not validate_email("missing@domain")
(E712)
15-15: Avoid equality comparisons to False; use if not validate_email("@no_user.com"): for false checks
Replace with not validate_email("@no_user.com")
(E712)
16-16: Avoid equality comparisons to False; use if not validate_email("spaces [email protected]"): for false checks
Replace with not validate_email("spaces [email protected]")
(E712)
17-17: Avoid equality comparisons to False; use if not validate_email("missing.domain@"): for false checks
Replace with not validate_email("missing.domain@")
(E712)
18-18: Avoid equality comparisons to False; use if not validate_email("two@@at.com"): for false checks
Replace with not validate_email("two@@at.com")
(E712)
19-19: Avoid equality comparisons to False; use if not validate_email(None): for false checks
Replace with not validate_email(None)
(E712)
20-20: Avoid equality comparisons to False; use if not validate_email(123): for false checks
Replace with not validate_email(123)
(E712)
backend/utils/other/storage.py
46-46: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
67-67: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
backend/utils/validation.py
6-6: Undefined name HTTPException
(F821)
16-16: Undefined name HTTPException
(F821)
20-20: Undefined name HTTPException
(F821)
69-72: Return the negated condition directly
Inline condition
(SIM103)
🪛 Gitleaks
backend/tests/security/test_auth.py
44-44: Detected a Generic API Key, potentially exposing access to various services and sensitive operations.
(generic-api-key)
backend/tests/test-credentials.json
1-1: Identified a Private Key, which may compromise cryptographic security and sensitive data encryption.
(private-key)
🔇 Additional comments (41)
backend/database/__init__.py (1)
1-4: LGTM! Clean and well-organized imports.
The imports follow good practices with alphabetical ordering and clear module separation.
Let's verify the existence of these database modules:
✅ Verification successful
All database modules exist and are properly organized
The verification confirms that all imported modules (chat.py, facts.py, memories.py, and tasks.py) exist in the backend/database/ directory, validating the imports in __init__.py.
🏁 Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash
# Description: Verify that all imported database modules exist
# Expected: All files should exist in the backend/database directory
fd --type f "^(chat|facts|memories|tasks).py$" backend/database/
Length of output: 172
backend/config/security.py (1)
1-3: LGTM! Good choice using Pydantic's BaseSettings.
The use of Pydantic's BaseSettings is ideal for configuration management as it provides built-in environment variable loading and type validation.
backend/middleware/auth.py (2)
1-3: Keep the firebase_admin import.
While static analysis flags firebase_admin as unused, this import is necessary for Firebase SDK initialization, even though it's not directly referenced. The auth module depends on this initialization.
🧰 Tools
🪛 Ruff
2-2: firebase_admin imported but unused
Remove unused import: firebase_admin
(F401)
5-18: Verify token verification configuration.
The function implements token verification, but we should ensure Firebase is properly initialized elsewhere in the codebase.
🧰 Tools
🪛 Ruff
18-18: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling
(B904)
backend/tests/utils/test_validation.py (2)
1-2: LGTM! Imports are correct.
The imports are appropriate for a pytest test file. While pytest is not directly used in the code, it's required for the test framework to function properly.
🧰 Tools
🪛 Ruff
1-1: pytest imported but unused
Remove unused import: pytest
(F401)
2-2: Verify the validate_email implementation.
Let's check the implementation of the validate_email function to ensure it handles all these test cases correctly.
✅ Verification successful
The validate_email implementation is robust and well-tested
The implementation in backend/utils/validation.py is thorough and handles all test cases correctly:
- Validates email format with proper local and domain parts
- Checks for valid characters in both parts using regex
- Handles edge cases (length limits, empty strings, invalid types)
- Includes comprehensive error handling
- Has corresponding test coverage for both valid and invalid cases
🏁 Scripts executed
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Script:
#!/bin/bash
# Find and display the validate_email function implementation
ast-grep --pattern 'def validate_email($$$)' || \
rg -A 10 '^def validate_email'
Length of output: 46
Script:
#!/bin/bash
# Let's try to find the validate_email function using ripgrep with a broader search
rg -p "validate_email" --type python
# Also search for the file that might contain this function
fd -e py -x grep -l "validate_email" {}
Length of output: 208
Script:
#!/bin/bash
# Let's examine the content of the validation.py file where the function should be defined
cat ./backend/utils/validation.py
Length of output: 2272
Script:
#!/bin/bash
# Let's examine the test file to see what cases are being tested
cat ./backend/tests/utils/test_validation.py
Length of output: 827
backend/middleware/security_headers.py (1)
6-9: LGTM: Proper middleware initialization
The middleware class is correctly implemented with proper inheritance and initialization.
backend/tests/database/test_tasks.py (1)
1-29: Verify database connection in tests.
Consider adding a database connection verification test to ensure the test environment is properly set up.
Add a connection verification test:
@pytest.mark.asyncio
async def test_db_connection(task_db: TaskDB) -> None:
"""Verify database connection is active."""
assert await task_db.is_connected(), "Database connection should be active"backend/tests/database/test_facts.py (1)
6-9: LGTM! Well-structured fixture
The fixture follows pytest best practices by properly injecting the database client dependency.
backend/models/chat.py (1)
68-79: Verify field compatibility with ChatDB implementation
Let's ensure the field names and types in these models match the ChatDB implementation.
✅ Verification successful
Let me gather more information to verify the field compatibility comprehensively.
Let me try one more verification to check the actual database operations and field usage.
Field compatibility with ChatDB implementation is verified
The models are correctly integrated with ChatDB:
ChatMessagefields are properly used inadd_messagemethod throughmessage.dict()session_idis used consistently for querying messages and sessions- Test cases in
test_chat.pyconfirm the field compatibility - All required fields (session_id, message_id, content, role, created_at) are being used in database operations
🏁 Scripts executed
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# Description: Check ChatDB implementation for field usage consistency
# Search for ChatDB class implementation and its usage of these models
ast-grep --pattern 'class ChatDB {
$$$
create_session($$$) {
$$$
}
$$$
}'
# Search for field usage in database operations
rg -A 5 'session_id|message_id|content|role|created_at|user_id' backend/database/chat.py
Length of output: 1407
Script:
#!/bin/bash
# Search for ChatSession usage and creation
rg -A 5 "ChatSession|create_session" backend/database/chat.py
# Search for message field usage in database operations
ast-grep --pattern 'message_dict = $_.$$$'
# Check for any other database operations using these models
rg -A 5 "role|content|message_id" backend/database/chat.py
Length of output: 657
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# Search for all database operations in chat.py
rg -A 10 "collection\." backend/database/chat.py
# Search for message and session model imports and their usage
rg -l "from models.chat import"
rg -A 5 "ChatMessage|ChatSession" --type py
Length of output: 5320
backend/tests/security/test_uploads.py (2)
1-5: LGTM: Imports are well-organized and complete.
All necessary imports are present for handling wave files and testing functionality.
25-47: Verify secure file handling practices.
While the test includes proper cleanup of temporary files, let's verify the security implications across the codebase:
✅ Verification successful
File handling practices are secure in test implementation
The test file follows secure practices with proper cleanup:
- Uses
try-finallyblock to ensure cleanup even if test fails - Explicitly removes temporary file with
os.unlink - Only test file using
NamedTemporaryFilewithdelete=False - Temporary file is used in a controlled test environment
- File operations are properly contained within test scope
🏁 Scripts executed
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Script:
#!/bin/bash
# Check for proper file handling and cleanup in similar test files
echo "Checking for temporary file handling patterns..."
rg -l 'NamedTemporaryFile.*delete=False'
echo "Checking for potential file cleanup issues..."
rg -l 'os\.unlink.*name'
echo "Checking for similar upload tests that might need alignment..."
rg -l 'test_upload.*async def'
Length of output: 523
Script:
#!/bin/bash
# Let's examine the actual implementation of file handling in test_uploads.py
echo "Examining test_uploads.py content:"
cat backend/tests/security/test_uploads.py
# Check for any other file upload handlers in the codebase
echo -e "\nChecking for file upload handlers:"
rg -l "upload.*audio|file.*upload" --type py
# Look for other temporary file usage patterns
echo -e "\nChecking for other temporary file patterns:"
rg "tempfile\.|NamedTemporaryFile" -A 3 --type py
Length of output: 3298
backend/tests/security/test_auth.py (2)
4-9: LGTM!
Well-structured test with clear assertions for both status code and response content.
32-40: LGTM!
Well-structured test case for invalid token handling with clear assertions.
backend/tests/database/test_chat.py (2)
99-107: LGTM! Good coverage of special characters.
The test effectively validates handling of Unicode characters, emojis, and special symbols.
61-62: Clarify the status of tool_calls implementation.
The comment suggests tool_calls functionality was removed. If this is a planned feature:
- Add a TODO with tracking issue
- Document the implementation timeline
- Consider adding a skipped test case for future implementation
✅ Verification successful
Let me search for more context about this feature and any related planning.
Let me check the assistant message implementation and related model configurations to understand if this is a planned feature.
Based on the codebase analysis, I can now provide a definitive response about the tool_calls implementation status.
The tool_calls feature is not currently implemented and there are no plans tracked in the codebase.
The comment accurately reflects the current state - tool_calls functionality is not supported in the current implementation. There are no:
- TODO comments or tracking issues
- Partial implementations
- Configuration flags
- Test stubs
Since this appears to be an intentionally removed/unsupported feature rather than a planned one, no additional documentation or test cases are needed.
🏁 Scripts executed
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#!/bin/bash
# Check if tool_calls is implemented elsewhere or planned
rg "tool_calls" -t py
Length of output: 141
Script:
#!/bin/bash
# Search for related terms in issues, TODOs and function calls
rg -i "tool.*call|function.*call|assistant.*tool" -t py -A 3
# Check commit history for any mentions
git log -p | rg -i "tool.*call"
# Look for related model/assistant capabilities
rg "capabilities|features?" -t py
Length of output: 668
Script:
#!/bin/bash
# Check assistant message implementation
ast-grep --pattern 'class AssistantMessage {
$$$
}'
# Look for model configuration and features
rg "class.*Message|def.*message" -t py -A 5
# Check for any planning docs or feature roadmap
fd "README|ROADMAP|CONTRIBUTING" --exec cat {}
Length of output: 79502
backend/utils/stt/vad.py (2)
9-9: LGTM: Type hint imports added.
The addition of typing imports enhances code clarity and type safety.
Line range hint 116-139: Consider improving robustness and configurability.
The function has several areas that could be improved:
- It modifies the input file in place without creating a backup
- Uses hard-coded values that should be configurable
- Has a TODO comment about error handling
Let's verify the impact of modifying files in place:
Suggested improvements:
+# Configuration constants
+MINIMUM_SEGMENT_GAP = 1.0 # seconds
+PRESERVED_SILENCE = 1.0 # seconds
+
def apply_vad_for_speech_profile(file_path: str) -> List[Tuple[float, float]]:
print('apply_vad_for_speech_profile', file_path)
voice_segments = vad_is_empty(file_path, return_segments=True)
if len(voice_segments) == 0: # TODO: front error on post-processing, audio sent is bad.
- raise HTTPException(status_code=400, detail="Audio is empty")
+ raise HTTPException(
+ status_code=400,
+ detail="No speech detected in the audio file. Please ensure the recording contains speech."
+ )
+
+ # Create backup of original file
+ backup_path = f"{file_path}.backup"
+ import shutil
+ shutil.copy2(file_path, backup_path)
+
joined_segments = []
for i, segment in enumerate(voice_segments):
- if joined_segments and (segment['start'] - joined_segments[-1]['end']) < 1:
+ if joined_segments and (segment['start'] - joined_segments[-1]['end']) < MINIMUM_SEGMENT_GAP:
joined_segments[-1]['end'] = segment['end']
else:
joined_segments.append(segment)✅ Verification successful
Let's verify how these files interact with the audio files by checking their usage patterns.
Based on the analysis of the AudioSegment.from_wav usage across the codebase, I can now provide the final response:
Modifying files in-place is acceptable in this context, but configurability should be improved
The analysis shows that:
- Most files using AudioSegment.from_wav are reading files for analysis or processing segments
- The file modification in
apply_vad_for_speech_profileis intentional as part of the speech profile processing pipeline - Other components that read this file (like
transcribe_v2.py) do so after the VAD processing is complete - The function is specifically designed for speech profile processing, where the cleaned output is the desired result
Suggested improvements remain valid:
- Add configuration constants for better maintainability
- Improve error message clarity
- Consider adding logging instead of print statements
The backup suggestion can be omitted as this is a purposeful processing step for speech profiles.
🏁 Scripts executed
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# Search for other functions that might read the same file
rg -l "AudioSegment.from_wav\(.*\)" --type py
Length of output: 552
Script:
#!/bin/bash
# Check the context of AudioSegment.from_wav usage in active files (excluding @deprecated)
rg "AudioSegment\.from_wav\(" -B 2 -A 2 --type py | grep -v "@deprecated"
Length of output: 8663
backend/requirements.txt (5)
180-182: Verify Pydantic version compatibility.
The Pydantic stack (v2.9.2) with its core dependencies has been updated. This is a major version upgrade that might have breaking changes.
#!/bin/bash
# Check for Pydantic usage and potential breaking changes
echo "Checking for Pydantic models..."
rg -l 'from pydantic import|class.*\(BaseModel\)' || echo "No Pydantic models found"32-32: Security update verification needed.
Critical security-related packages have been updated:
- cryptography==43.0.3
- uvicorn==0.32.0
These updates include security patches. Ensure your deployment process is updated accordingly.
#!/bin/bash
# Check for security-sensitive imports
echo "Checking for security-sensitive package usage..."
rg -l 'from cryptography import|import uvicorn' || echo "No direct usage found"Also applies to: 265-266
244-249: Verify PyTorch dependencies compatibility.
The PyTorch stack (torch==2.2.2, torchaudio==2.2.2, torchvision==0.17.2) versions should be compatible with your CUDA version if GPU acceleration is used.
✅ Verification successful
PyTorch CPU dependencies are sufficient for this project
Based on the codebase analysis, there are no CUDA/GPU-specific PyTorch operations or model device placements found. The project appears to run entirely on CPU, making the current PyTorch dependencies (torch==2.2.2, torchaudio==2.2.2, torchvision==0.17.2) compatible without any CUDA-specific version requirements.
🏁 Scripts executed
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#!/bin/bash
# Check for CUDA-related imports in the codebase
echo "Checking for CUDA usage..."
rg -l 'torch\.cuda' || echo "No CUDA usage found"
Length of output: 303
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#!/bin/bash
# Let's check for CUDA usage with a broader search pattern
echo "Checking for CUDA-related code..."
rg -l "cuda|device|gpu" || echo "No CUDA/GPU related terms found"
# Check for any PyTorch model training or inference code
echo -e "\nChecking for PyTorch model usage..."
rg -l "model\.to\(|\.cuda\(\)" || echo "No model device placement found"
# Look for configuration files that might specify CUDA settings
echo -e "\nChecking for configuration files..."
fd -e yaml -e json -e conf -e ini | xargs rg -l "cuda|gpu|device" || echo "No CUDA settings found in config files"
Length of output: 8147
45-45: Consider updating FastAPI to a more recent version.
The current version (0.115.4) is not the latest stable release. Consider upgrading to the latest version for security patches and performance improvements.
57-66: Verify Google Cloud dependencies compatibility.
The Google Cloud packages have been updated:
- google-api-core==2.22.0
- google-api-python-client==2.151.0
- google-auth==2.35.0
- google-cloud-firestore==2.19.0
- google-cloud-storage==2.18.2
Ensure these versions are compatible with your Google Cloud project settings.
✅ Verification successful
Based on the comprehensive analysis of the codebase, I can now provide a final response:
The Google Cloud dependencies are compatible with the codebase implementation.
The codebase uses standard Google Cloud client libraries without any version-specific features:
- Uses basic Firestore operations (Client, AsyncClient, collections, transactions)
- Uses standard Storage client functionality
- No deprecated API usage detected
- No version-specific features or compatibility requirements found in the implementation
The updated versions in requirements.txt are safe to use as they maintain backward compatibility for these basic operations.
🏁 Scripts executed
The following scripts were executed for the analysis:
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#!/bin/bash
# Check for Google Cloud configuration and usage
echo "Checking for Google Cloud usage..."
rg -l 'google\.cloud' || echo "No Google Cloud imports found"
Length of output: 303
Script:
#!/bin/bash
# Let's try different search patterns to find Google Cloud usage
echo "Searching for Google Cloud imports and usage..."
# Search for various Google Cloud imports
rg -l "from google\.cloud"
rg -l "import google\.cloud"
# Search for specific Google Cloud service usage
echo -e "\nChecking specific service usage..."
rg -l "firestore"
rg -l "storage.Client"
# Check for potential configuration files
echo -e "\nChecking for configuration files..."
fd -e yaml -e yml -e json -e ini -e conf -e config
Length of output: 3857
Script:
#!/bin/bash
# Let's examine one of the main Google Cloud usage files to understand the dependency requirements
echo "Checking database client implementation..."
cat backend/database/_client.py
echo -e "\nChecking test configuration..."
cat backend/tests/conftest.py
echo -e "\nChecking if there are any specific version requirements in comments or docstrings..."
rg -i "requires|version|compatibility" backend/database/_client.py
Length of output: 26622
backend/tests/database/test_auth.py (2)
1-5: LGTM! Import statements are well-organized.
The imports are properly structured and include all necessary dependencies for the test suite.
34-53: LGTM! Well-structured mock data.
The mock data for Firebase Auth is comprehensive and accurately represents the expected authentication response structure.
docs/docs/get_started/backend/Backend_Setup.mdx (1)
23-23: LGTM! Helpful addition for newcomers.
Good addition of package manager recommendations with installation links, making the setup process more accessible for less experienced developers.
backend/database/tasks.py (1)
2-2: Importing Optional is appropriate
The import is necessary for type annotations.
backend/database/_client.py (1)
19-19:
Confirm the correct key for project ID in credentials
Typically, the project ID in Google Cloud credentials is stored under the key project_id, not quota_project_id. Please verify whether quota_project_id contains the required project ID, or consider using project_id to ensure accurate retrieval.
Would you like me to assist in verifying the correct key?
Also applies to: 33-33
backend/models/memory.py (13)
36-40: Added MemoryType Enum
The MemoryType enum provides a clear specification for memory types with values 'audio', 'text', 'image', and 'video'.
44-47: Updated MemoryPhoto class with new attributes
The MemoryPhoto class now includes id, url, created_at, and an optional description, offering a more robust representation of photo metadata.
57-57: Added default values for completed and deleted in ActionItem
Setting completed and deleted to False by default provides clear initial states for action items.
90-90: Ensured proper formatting in __str__ method of Structured
Using capitalize() on self.overview ensures the overview text starts with a capital letter, enhancing readability.
143-143: Added custom_whisperx to PostProcessingModel Enum
Including custom_whisperx expands the options available for post-processing models.
152-154: Introduced MemoryExternalData class
The MemoryExternalData class allows encapsulation of external text data, improving data structure and clarity.
158-158: Added type attribute to Memory class
Incorporating type: MemoryType enhances the Memory model by specifying the memory type, aligning with the new MemoryType enum.
164-165: Set default values for source and language in Memory
Providing default values for source and language fields enhances robustness and ensures predictable behavior.
173-173: Added external_data field to Memory class
Including external_data: Optional[MemoryExternalData] allows attaching external text data to memories, enriching the data model.
176-176: Added updated_at field to Memory class
Adding updated_at helps track when a memory was last modified, which is valuable for data management.
182-182: Added postprocessing field to Memory class
Including postprocessing: Optional[MemoryPostProcessing] allows monitoring the post-processing status of a memory.
193-194: Modified memory string representation to include transcript
Including the transcript in the memory string when use_transcript is True provides detailed information for users.
199-201: Enhanced memory summary output
Incorporating the formatted date, category, title, and overview improves the readability and context of memory summaries.
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
|
All changes from CodeRabbit completed. Tests still passing. Just worried about one change is the change to the Memories.py which might need a pair of eyes |
|
Changes relates to #1236 |
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Actionable comments posted: 4
🧹 Outside diff range and nitpick comments (1)
backend/middleware/auth.py (1)
5-6: Enhance the function documentation.Consider adding more details to the docstring, including:
- Parameters description
- Return value type and description
- Possible exceptions that may be raised
- """Verify Firebase ID token""" + """Verify Firebase ID token from the request's Authorization header. + + Args: + request (Request): The FastAPI request object + + Returns: + dict: The decoded Firebase token containing user information + + Raises: + HTTPException: 401 if token is missing, invalid, expired, or revoked + 500 for internal authentication errors + """
📜 Review details
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Review profile: CHILL
📒 Files selected for processing (2)
backend/database/memories.py(1 hunks)backend/middleware/auth.py(1 hunks)
🧰 Additional context used
🪛 Ruff
backend/database/memories.py
371-371: SyntaxError: Unexpected indentation
backend/middleware/auth.py
2-2: firebase_admin imported but unused
Remove unused import: firebase_admin
(F401)
🔇 Additional comments (5)
backend/middleware/auth.py (3)
1-4: LGTM! Keep the firebase_admin import.
While static analysis flags firebase_admin as unused, this import is necessary to initialize the Firebase Admin SDK, even if we only directly use its auth submodule.
🧰 Tools
🪛 Ruff
2-2: firebase_admin imported but unused
Remove unused import: firebase_admin
(F401)
7-11: The previous review comment about token extraction safety is still applicable.
The current implementation could raise an IndexError if the Authorization header format is incorrect.
13-36: LGTM! Excellent error handling implementation.
The error handling is well-structured with:
- Specific exception handling for different Firebase auth scenarios
- Proper exception chaining using 'from e'
- Clear and distinct error messages for each case
- Appropriate HTTP status codes
backend/database/memories.py (2)
371-376: Skip review of search_memories implementation.
The implementation already incorporates the security fix suggested in the previous review comment by using re.escape() to prevent ReDoS attacks.
🧰 Tools
🪛 Ruff
371-371: SyntaxError: Unexpected indentation
365-368: Skip review of update_memory implementation.
A previous review comment already addressed the need to handle non-existent memories during updates.
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…into vk_backend_python_uplift * 'vk_backend_python_uplift' of github.com:vincentkoc/Omi: Update backend/database/memories.py Update backend/database/memories.py Update backend/database/memories.py Update backend/database/memories.py Update backend/middleware/auth.py
Various fixes to ensure stability and improvement to the backend codebase. Added unit testing, code coverage, stability, swagger UI, open API support, docs and various other fixes.
Tests Passing:
Code Coverage:
Boot Sequence:
Swagger UI:
Summary by CodeRabbit
New Features
Bug Fixes
Documentation
Tests