main.py

'''
Copyright 2024 Infosys Ltd.

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
import json
from werkzeug.exceptions import HTTPException, UnprocessableEntity, InternalServerError
from flask import Flask
from flask_swagger_ui import get_swaggerui_blueprint
from flask_cors import CORS
from waitress import serve
import os
from dotenv import load_dotenv
from router.router import app  # Importing the original blueprint
load_dotenv()

# Flask app setup
app1 = Flask(__name__)

# Swagger UI setup
SWAGGER_URL = '/rai/v1/moderations/docs'  
API_URL = '/static/metadata.json'
swaggerui_blueprint = get_swaggerui_blueprint(SWAGGER_URL, API_URL, config={'app_name': "Infosys Responsible AI - Moderation"})
app1.register_blueprint(swaggerui_blueprint)

# Register the app blueprint for the '/rai/v1/moderations' route
app1.register_blueprint(app)  # Registering the blueprint that contains the route

# CORS and error handling setup
CORS(app1)

@app1.errorhandler(HTTPException)
def handle_exception(e):
    response = e.get_response()
    response.data = json.dumps({
        "code": e.code,
        "details": e.description,
    })
    response.content_type = "application/json"
    return response

@app1.errorhandler(UnprocessableEntity)
def validation_error_handler(exc):
    response = exc.get_response()
    exc_code_desc = exc.description.split("-")
    exc_code = int(exc_code_desc[0])
    exc_desc = exc_code_desc[1]
    response.data = json.dumps({
        "code": exc_code,
        "details": exc_desc,
    })
    response.content_type = "application/json"
    return response

@app1.errorhandler(InternalServerError)
def internal_server_error_handler(exc):
    response = exc.get_response()
    response.data = json.dumps({
        "code": 500,
        "details": "Some Error Occurred, Please try later",
    })
    response.content_type = "application/json"
    return response

# Use Waitress for production server
if __name__ == "__main__":
    serve(app1, host="0.0.0.0", port=int(os.getenv("PORT", 7860)))  # Ensure correct port is used

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
'''
import json
import os
import logging
from werkzeug.exceptions import HTTPException, UnprocessableEntity, InternalServerError
from flask import Flask
from flask_swagger_ui import get_swaggerui_blueprint
from flask_cors import CORS
from waitress import serve
from dotenv import load_dotenv
import spacy
from spacy.cli import download

# Load environment variables
load_dotenv()

# Flask app setup
app1 = Flask(__name__)

# Swagger UI setup
SWAGGER_URL = '/rai/v1/moderations/docs'  
API_URL = '/static/metadata.json'
swaggerui_blueprint = get_swaggerui_blueprint(SWAGGER_URL, API_URL, config={'app_name': "Infosys Responsible AI - Moderation"})
app1.register_blueprint(swaggerui_blueprint)

# CORS setup
CORS(app1)

# Ensure Spacy model is installed and loaded
def load_spacy_model():
    try:
        # Attempt to load the model
        nlp = spacy.load('en_core_web_lg')
    except OSError:
        # If model is not found, download it
        download('en_core_web_lg')
        nlp = spacy.load('en_core_web_lg')
    return nlp

# Attempt to load Spacy model
try:
    nlp = load_spacy_model()
    logging.info("Spacy model loaded successfully.")
except Exception as e:
    logging.error(f"Failed to load Spacy model: {e}")
    raise

# Error Handlers
@app1.errorhandler(HTTPException)
def handle_exception(e):
    """Return JSON instead of HTML for HTTP errors."""
    response = e.get_response()
    response.data = json.dumps({
        "code": e.code,
        "details": e.description,
    })
    response.content_type = "application/json"
    return response

@app1.errorhandler(UnprocessableEntity)
def validation_error_handler(exc):
    """Return JSON instead of HTML for HTTP errors."""
    response = exc.get_response()
    exc_code_desc = exc.description.split("-")
    exc_code = int(exc_code_desc[0])
    exc_desc = exc_code_desc[1]
    response.data = json.dumps({
        "code": exc_code,
        "details": exc_desc,
    })
    response.content_type = "application/json"
    return response

@app1.errorhandler(InternalServerError)
def internal_server_error_handler(exc):
    """Return JSON instead of HTML for HTTP errors."""
    response = exc.get_response()
    response.data = json.dumps({
        "code": 500,
        "details": "Some Error Occurred, Please try later",
    })
    response.content_type = "application/json"
    return response

# Ensure that log directories exist and are writable
log_dir = '/home/user/logs'  # Update to a directory inside user's home directory
if not os.path.exists(log_dir):
    os.makedirs(log_dir, exist_ok=True)
    logging.info(f"Created log directory at: {log_dir}")
else:
    logging.info(f"Log directory already exists: {log_dir}")

# Configure basic logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')

# Debugging: log environment variables
logging.info(f"PORT: {os.getenv('PORT', 'Not Set')}")
logging.info(f"THREADS: {os.getenv('THREADS', 'Not Set')}")
logging.info(f"CONNECTION_LIMIT: {os.getenv('CONNECTION_LIMIT', 'Not Set')}")
logging.info(f"CHANNEL_TIMEOUT: {os.getenv('CHANNEL_TIMEOUT', 'Not Set')}")

# Use Flask development server for Hugging Face Spaces compatibility (instead of Waitress)
if __name__ == "__main__":
    try:
        # Log the server startup info
        logging.info("Starting Flask application...")

        # Start the Flask application with the development server for testing
        app1.run(host="0.0.0.0", port=int(os.getenv("PORT", 7860)), threaded=True)
    except Exception as e:
        logging.error(f"Error starting Flask application: {e}")
        raise