Environment methods

.gitignore

@@ -1,10 +1,10 @@
-.env
-.DS_Store
-.vscode
-.idea
+__pycache__
 .pytest_cache
-.coverage
-.coverage.*
-.coverage.*.*
-.coverage.*.*.*
-.coverage.*.*.*.*
+
+.DS_Store
+
+.env
+
+
+data/init_data/
+logs/

Dockerfile

@@ -1,38 +1,34 @@
+# Example Dockerfile showing how to use the new startup system
+# This is a reference - not meant to replace your existing Dockerfile
+
 FROM python:3.11-slim
 
+# Set working directory
 WORKDIR /app
 
-# Install system dependencies
-RUN apt-get update && apt-get install -y \
-    libreoffice \
-    poppler-utils \
-    libpq-dev \
-    gcc \
-    python3-dev \
-    postgresql-client \
-    curl \
-    && rm -rf /var/lib/apt/lists/*
-
-# Set up virtual environment
-RUN python -m venv /opt/venv
-ENV PATH="/opt/venv/bin:$PATH"
-
-# Install Python packages
+# Copy requirements and install dependencies
 COPY requirements.txt .
-RUN pip install --no-cache-dir --upgrade pip && \
-    pip install --no-cache-dir -r requirements.txt
+RUN pip install --no-cache-dir -r requirements.txt
 
-# Copy the application
+# Copy application code
 COPY . .
 
-# Create necessary directories
-RUN mkdir -p static templates/admin logs
+# Make startup script executable
+RUN chmod +x start.sh
 
-# Create entrypoint script
-COPY docker-entrypoint.sh /usr/local/bin/
-RUN chmod +x /usr/local/bin/docker-entrypoint.sh
+# Set environment variables
+ENV PYTHONPATH=/app
+ENV UVICORN_PORT=8000
+ENV UVICORN_WORKERS=4
 
-EXPOSE ${PORT_BACKEND}
+# Expose port
+EXPOSE 8000
 
-ENTRYPOINT ["docker-entrypoint.sh"]
-CMD ["python", "main.py"]
+# Use the new startup script in production mode
+CMD ["./start.sh", "prod"]
+
+# Alternative: Run initialization first, then production server
+# CMD ["sh", "-c", "./start.sh init && ./start.sh prod"]
+
+# Alternative: Use Python directly
+# CMD ["python3", "main.py", "--mode", "prod"]

Dockerfile.macos.dev

@@ -1,38 +0,0 @@
-FROM python:3.11-slim
-
-WORKDIR /app/backend
-
-# Install system dependencies
-RUN apt-get update && apt-get install -y \
-    libreoffice \
-    poppler-utils \
-    libpq-dev \
-    gcc \
-    python3-dev \
-    postgresql-client \
-    curl \
-    && rm -rf /var/lib/apt/lists/*
-
-# Set up virtual environment
-RUN python -m venv /opt/venv
-ENV PATH="/opt/venv/bin:$PATH"
-
-# Install Python packages
-COPY requirements.txt .
-RUN pip install --no-cache-dir --upgrade pip && \
-    pip install --no-cache-dir -r requirements.txt
-
-# Copy the application
-COPY . .
-
-# Create necessary directories
-RUN mkdir -p static templates/admin logs
-
-# Create entrypoint script
-COPY docker-entrypoint.sh /usr/local/bin/
-RUN chmod +x /usr/local/bin/docker-entrypoint.sh
-
-EXPOSE ${PORT_BACKEND}
-
-ENTRYPOINT ["docker-entrypoint.sh"]
-CMD ["python", "main.py"]

Dockerfile.macos.prod

@@ -1,38 +0,0 @@
-FROM python:3.11-slim
-
-WORKDIR /app/backend
-
-# Install system dependencies
-RUN apt-get update && apt-get install -y \
-    libreoffice \
-    poppler-utils \
-    libpq-dev \
-    gcc \
-    python3-dev \
-    postgresql-client \
-    curl \
-    && rm -rf /var/lib/apt/lists/*
-
-# Set up virtual environment
-RUN python -m venv /opt/venv
-ENV PATH="/opt/venv/bin:$PATH"
-
-# Install Python packages
-COPY requirements.txt .
-RUN pip install --no-cache-dir --upgrade pip && \
-    pip install --no-cache-dir -r requirements.txt
-
-# Copy the application
-COPY . .
-
-# Create necessary directories
-RUN mkdir -p static templates/admin logs
-
-# Create entrypoint script
-COPY docker-entrypoint.sh /usr/local/bin/
-RUN chmod +x /usr/local/bin/docker-entrypoint.sh
-
-EXPOSE ${PORT_BACKEND}
-
-ENTRYPOINT ["docker-entrypoint.sh"]
-CMD ["python", "main.py"]

README.md

@@ -1,108 +0,0 @@
-The main issues are with system-level dependencies like `libreoffice` and `gcc` which aren't typically managed through conda on macOS.
-
-```yaml:backend/requirements.conda.yml
-name: classroomcopilot-backend
-channels:
-  - conda-forge
-  - nodefaults
-dependencies:
-  - python=3.11
-  # Core dependencies
-  - pip
-  - setuptools
-  - wheel
-  # Server dependencies
-  - fastapi
-  - uvicorn
-  - python-dotenv
-  - python-multipart
-  - python-jose
-  - pyjwt
-  - jinja2
-  # Database and Auth
-  - sqlalchemy
-  - sqlalchemy-utils
-  - asyncpg
-  - redis-py
-  # Neo4j
-  - neo4j-python-driver
-  # Data Processing
-  - pandas
-  - scipy
-  - requests
-  - openpyxl
-  - scikit-learn
-  # Testing
-  - pytest
-  - pytest-html
-  # Database clients
-  - postgresql
-  - libpq
-  # Additional dependencies via pip
-  - pip:
-    # Supabase
-    - supabase
-    # Neo4j specific
-    - neontology
-    # Document Processing
-    - python-pptx
-    - python-docx
-    - pdfminer.six
-    - Pillow
-    - psutil
-    # Web Scraping and Processing
-    - emoji
-    - extruct
-    - w3lib
-    # Google APIs
-    - youtube-transcript-api
-    - google-api-python-client
-    - google-auth-oauthlib
-    # LangChain Ecosystem
-    - "langchain[llms]"
-    - langchain-community
-    - langchain-openai
-    - langgraph
-    # OpenAI
-    - openai
-    - ollama
-    # Microsoft Authentication
-    - msal
-```
-I've made several important changes to make the conda environment more compatible:
-
-1. Removed system-level dependencies that should be installed via the system package manager:
-   - `libreoffice` - Install via Homebrew on macOS (`brew install libreoffice`)
-   - `gcc` - Install via Xcode Command Line Tools on macOS
-   - `poppler` - Install via Homebrew on macOS (`brew install poppler`)
-
-2. Changed channel configuration:
-   - Using only `conda-forge` with `nodefaults` to avoid package conflicts
-   - This provides better consistency across platforms
-
-3. Fixed the `langchain[llms]` specification by adding quotes to handle the square brackets properly
-
-For macOS users, here are the steps to set up the environment:
-
-1. First, install system dependencies:
-```bash
-# Install Xcode Command Line Tools (if not already installed)
-xcode-select --install
-
-# Install other system dependencies via Homebrew
-brew install libreoffice poppler postgresql
-```
-
-2. Then create the conda environment:
-```bash
-conda env create -f backend/requirements.conda.yml
-```
-
-3. Activate the environment:
-```bash
-conda activate classroomcopilot-backend
-```
-
-This setup should now work properly on macOS while still maintaining compatibility with the Docker environment for production. The system-level dependencies are handled by the appropriate system package manager (Homebrew for macOS) rather than conda, which is the recommended approach for these types of dependencies.
-
-Would you like me to make any additional adjustments to the environment configuration?

docker-compose.yml

@@ -1,12 +1,14 @@
 services:
   backend:
-    container_name: ccapi
+    container_name: cc-api
     build:
       context: .
       dockerfile: Dockerfile
-    env_file: .env
+    env_file:
+      - .env
+      - .env.app.prod
     ports:
-      - "${PORT_BACKEND}:${PORT_BACKEND}"
+      - 8000:8000
     networks:
       - kevlarai-network
 

docker-entrypoint.sh

@@ -1,43 +0,0 @@
-#!/bin/bash
-set -e
-
-# Add backend to Python path
-export PYTHONPATH="/app:${PYTHONPATH}"
-
-# Create init directories
-mkdir -p /init
-
-# Function to check if initialization is needed
-check_init_needed() {
-    if [ ! -f "/init/status.json" ]; then
-        return 0
-    fi
-    
-    # Check if any status is incomplete
-    incomplete=$(python -c "
-import json
-try:
-    with open('/init/status.json', 'r') as f:
-        status = json.load(f)
-    print(not all(v for k, v in status.items() if k != 'timestamp'))
-except (FileNotFoundError, json.JSONDecodeError):
-    print('True')
-")
-    
-    if [ "$incomplete" = "True" ]; then
-        return 0
-    else
-        return 1
-    fi
-}
-
-# Run initialization if needed
-if check_init_needed; then
-    echo "Running initialization..."
-    python -c "from run.initialization import initialize_system; initialize_system()"
-else
-    echo "System already initialized, skipping..."
-fi
-
-# Execute the main command
-exec "$@" 

main.py

@@ -1,4 +1,6 @@
 import os
+import argparse
+import sys
 from modules.logger_tool import initialise_logger
 logger = initialise_logger(__name__, os.getenv("LOG_LEVEL"), os.getenv("LOG_PATH"), 'default', True)
 from fastapi import FastAPI, HTTPException
@@ -100,34 +102,94 @@ def initialize_with_retry(max_attempts: int = 3, initial_delay: int = 5) -> bool
     
     return False
 
-if __name__ == "__main__":
-    import uvicorn
-    import os
+def run_initialization_mode():
+    """Run only the initialization process"""
+    logger.info("Running in initialization mode")
+    logger.info("Starting system initialization...")
     
-    # Run initialization with retry logic
-    if not initialize_with_retry():
-        logger.error("Failed to initialize system after multiple attempts")
-        # Continue anyway to allow the API to start and handle health checks
+    if initialize_with_retry():
+        logger.info("Initialization completed successfully")
+        return True
+    else:
+        logger.error("Initialization failed after multiple attempts")
+        return False
+
+def run_development_mode():
+    """Run the server in development mode with auto-reload"""
+    logger.info("Running in development mode")
+    logger.info("Starting uvicorn server with auto-reload...")
     
-    if os.getenv('BACKEND_DEV_MODE') == 'true':
-        logger.info("Running with Reload")
     uvicorn.run(
         "main:app",
         host="0.0.0.0",
-            port=int(os.getenv('PORT_BACKEND', 8000)),
-            log_level="info",
+        port=int(os.getenv('UVICORN_PORT', 8000)),
+        log_level=os.getenv('LOG_LEVEL', 'info'),
         proxy_headers=True,
         timeout_keep_alive=10,
         reload=True
     )
-    else:
-        logger.info("Running without Reload and without SSL (behind reverse proxy)")
+
+def run_production_mode():
+    """Run the server in production mode"""
+    logger.info("Running in production mode")
+    logger.info("Starting uvicorn server in production mode...")
+    
     uvicorn.run(
         "main:app",
         host="0.0.0.0",
-            port=int(os.getenv('PORT_BACKEND', 8000)),  # <-- not 443
-            log_level="info",
+        port=int(os.getenv('UVICORN_PORT', 8000)),
+        log_level=os.getenv('LOG_LEVEL', 'info'),
         proxy_headers=True,
         timeout_keep_alive=10,
         workers=int(os.getenv('UVICORN_WORKERS', '1'))
     )
+
+def parse_arguments():
+    """Parse command line arguments"""
+    parser = argparse.ArgumentParser(
+        description="ClassroomCopilot API Server",
+        formatter_class=argparse.RawDescriptionHelpFormatter,
+        epilog="""
+Startup modes:
+  init    - Run initialization scripts (database setup, etc.)
+  dev     - Run development server with auto-reload
+  prod    - Run production server (for Docker/containerized deployment)
+        """
+    )
+    
+    parser.add_argument(
+        '--mode', '-m',
+        choices=['init', 'dev', 'prod'],
+        default='dev',
+        help='Startup mode (default: dev)'
+    )
+    
+    return parser.parse_args()
+
+if __name__ == "__main__":
+    args = parse_arguments()
+    
+    # Set environment variable for backward compatibility
+    if args.mode == 'dev':
+        os.environ['BACKEND_DEV_MODE'] = 'true'
+    else:
+        os.environ['BACKEND_DEV_MODE'] = 'false'
+    
+    logger.info(f"Starting ClassroomCopilot API in {args.mode} mode")
+    
+    if args.mode == 'init':
+        # Run initialization only
+        success = run_initialization_mode()
+        sys.exit(0 if success else 1)
+    
+    elif args.mode == 'dev':
+        # Run development server
+        run_development_mode()
+    
+    elif args.mode == 'prod':
+        # Run production server
+        run_production_mode()
+    
+    else:
+        logger.error(f"Invalid mode: {args.mode}")
+        sys.exit(1)

modules/database/supabase/utils/client.py

@@ -2,7 +2,7 @@ import os
 from typing import Dict, Optional, Any, TypedDict, List
 from supabase import create_client, Client
 from supabase.lib.client_options import SyncClientOptions
-from gotrue import SyncMemoryStorage
+from supabase_auth import SyncMemoryStorage
 from modules.logger_tool import initialise_logger
 
 logger = initialise_logger(__name__, os.getenv("LOG_LEVEL"), os.getenv("LOG_PATH"), 'default', True)

modules/logger_tool.py

@@ -2,7 +2,11 @@ import os
 import sys
 import logging
 import datetime
+try:
     import pytest
+    PYTEST_AVAILABLE = True
+except ImportError:
+    PYTEST_AVAILABLE = False
 from dotenv import load_dotenv, find_dotenv
 
 # Load environment variables
@@ -86,6 +90,7 @@ class FileFormatter(logging.Formatter):
         return logging.Formatter(LOG_FORMAT).format(record)
 
 class PytestFormatter:
+    if PYTEST_AVAILABLE:
         @pytest.hookimpl(hookwrapper=True)
         def pytest_runtest_makereport(self, item, call):
             outcome = yield
@@ -97,6 +102,10 @@ class PytestFormatter:
                     logging.error(f"❌ Test failed: {item.name}")
                 elif report.skipped:
                     logging.warning(f"⏭️ Test skipped: {item.name}")
+    else:
+        # Dummy implementation when pytest is not available
+        def pytest_runtest_makereport(self, item, call):
+            pass
 
 # Custom logger methods
 def _add_custom_log_methods():

requirements.conda.yml

@@ -1,74 +0,0 @@
-name: classroomcopilot-backend
-channels:
-  - conda-forge
-  - nodefaults
-dependencies:
-  - python=3.11
-  # Core dependencies
-  - pip
-  - setuptools
-  - wheel
-  # Server dependencies
-  - fastapi
-  - uvicorn
-  - python-dotenv
-  - python-multipart
-  - python-jose
-  - pyjwt
-  - jinja2
-  # Database and Auth
-  - sqlalchemy
-  - sqlalchemy-utils
-  - asyncpg
-  - redis-py
-  # Neo4j
-  - neo4j-python-driver
-  # HTTP and Async
-  - aiohttp
-  # Data Processing
-  - pandas
-  - scipy
-  - requests
-  - openpyxl
-  - scikit-learn
-  # Testing
-  - pytest
-  - pytest-html
-  # Database clients
-  - postgresql
-  - libpq
-  # LibreOffice for document conversion
-  - libreoffice
-  # Additional dependencies via pip
-  - pip:
-      # Supabase
-      - supabase
-      # Neo4j specific
-      - neontology
-      # HTTP and Async
-      - sseclient-py
-      # Document Processing
-      - python-pptx
-      - python-docx
-      - pdfminer.six
-      - Pillow
-      - psutil
-      - PyPDF2>=3.0.0
-      # Web Scraping and Processing
-      - emoji
-      - extruct
-      - w3lib
-      # Google APIs
-      - youtube-transcript-api
-      - google-api-python-client
-      - google-auth-oauthlib
-      # LangChain Ecosystem
-      - "langchain[llms]"
-      - langchain-community
-      - langchain-openai
-      - langgraph
-      # OpenAI
-      - openai
-      - ollama
-      # Microsoft Authentication
-      - msal

requirements.txt

@@ -13,6 +13,7 @@ jinja2
 
 # Database and Auth
 supabase
+supabase_auth
 sqlalchemy
 sqlalchemy-utils
 asyncpg