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from flask import Blueprint, request, jsonify
from models.multilingual_translation.model import MultilingualTranslationModel
from models.sentiment_analysis.model import SentimentAnalysisModel
from models.intelligent_routing.model import IntelligentRoutingModel
from models.job_recommendation.model import JobRecommendationModel
import logging
from datetime import datetime
import os
logger = logging.getLogger(__name__)
# Add debug logging for environment variables
logger.info(f"HUGGINGFACE_API_TOKEN present: {'HUGGINGFACE_API_TOKEN' in os.environ}")
api_bp = Blueprint('api', __name__)
# Initialize models with proper paths
try:
logger.info("Initializing translation model...")
translation_model = MultilingualTranslationModel()
logger.info("Initializing sentiment model...")
sentiment_model = SentimentAnalysisModel()
logger.info("Initializing routing model...")
routing_model = IntelligentRoutingModel()
logger.info("Initializing job model...")
job_model = JobRecommendationModel()
except Exception as e:
logger.error(f"Error initializing models: {str(e)}")
# Load pre-trained models
try:
routing_model.load_model('models/intelligent_routing/saved_model/model.keras')
job_model.load_model('models/job_recommendation/saved_model/model.keras')
except Exception as e:
logger.error(f"Error loading models: {str(e)}")
@api_bp.route('/translate', methods=['POST'])
def translate():
try:
data = request.get_json()
if not data or 'user_message' not in data:
return jsonify({
'error': 'Missing required fields',
'required': ['user_message', 'target_language']
}), 400
result = translation_model.process_message(data)
if result.get('error'):
return jsonify({
'error': result['error']
}), 400
return jsonify(result), 200
except Exception as e:
logger.error(f"Translation error: {str(e)}")
return jsonify({
'error': 'Internal server error'
}), 500
@api_bp.route('/analyze-sentiment', methods=['POST'])
def analyze_sentiment():
try:
data = request.get_json()
logger.info(f"Received sentiment analysis request with data: {data}")
if not data or 'grievance_id' not in data or 'text' not in data:
logger.warning("Missing required fields in request")
return jsonify({
'error': 'Missing required fields',
'required': ['grievance_id', 'text']
}), 400
logger.info("Processing grievance with sentiment model...")
result = sentiment_model.process_grievance(data)
logger.info(f"Sentiment analysis result: {result}")
if result.get('error'):
logger.error(f"Error in sentiment model: {result['error']}")
return jsonify({
'error': result['error']
}), 400
return jsonify({
'grievance_id': data['grievance_id'],
'emotional_label': result['emotional_label'],
'confidence': result['confidence'],
'timestamp': datetime.utcnow().isoformat()
}), 200
except Exception as e:
logger.error(f"Sentiment analysis error: {str(e)}", exc_info=True) # Added exc_info for full traceback
return jsonify({
'error': 'Internal server error',
'details': str(e)
}), 500
@api_bp.route('/route-grievance', methods=['POST'])
def route_grievance():
try:
data = request.get_json()
required_fields = [
'grievance_id', 'category', 'student_room_no',
'hostel_name', 'floor_number', 'current_staff_status'
]
if not data or not all(field in data for field in required_fields):
return jsonify({
'error': 'Missing required fields',
'required': required_fields
}), 400
# Format timestamp to match expected format
if 'submission_timestamp' in data:
try:
# Convert to proper format
timestamp = datetime.fromisoformat(data['submission_timestamp'].replace('Z', '+00:00'))
data['submission_timestamp'] = timestamp.strftime("%Y-%m-%dT%H:%M:%SZ")
except Exception as e:
logger.warning(f"Error formatting timestamp: {str(e)}")
data['submission_timestamp'] = datetime.utcnow().strftime("%Y-%m-%dT%H:%M:%SZ")
result = routing_model.predict(data)
if not result:
return jsonify({
'error': 'No suitable staff found'
}), 404
return jsonify({
'grievance_id': data['grievance_id'],
'assigned_staff_id': result['assigned_staff_id'],
'assignment_timestamp': datetime.utcnow().strftime("%Y-%m-%dT%H:%M:%SZ"),
'confidence_score': result.get('confidence_score', 0.0),
'estimated_resolution_time': result.get('estimated_resolution_time')
}), 200
except Exception as e:
logger.error(f"Routing error: {str(e)}")
return jsonify({
'error': 'Internal server error',
'details': str(e)
}), 500
@api_bp.route('/recommend-job', methods=['POST'])
def recommend_job():
try:
data = request.get_json()
required_fields = [
'job_id', 'type', 'description', 'urgency_level',
'location', 'workers'
]
if not data or not all(field in data for field in required_fields):
return jsonify({
'error': 'Missing required fields',
'required': required_fields
}), 400
# Filter available workers of matching department
available_workers = [
w for w in data['workers']
if w['department'].lower() == data['type'].lower()
and w['availability_status'] == 'Available'
]
if not available_workers:
return jsonify({
'error': 'No suitable workers found',
'details': 'No available workers matching the job type'
}), 404
# Sort workers by workload and success rate
sorted_workers = sorted(
available_workers,
key=lambda w: (-w['job_success_rate'], w['current_workload'])
)
# Get best worker and alternatives
best_worker = sorted_workers[0]
alternative_workers = sorted_workers[1:3] if len(sorted_workers) > 1 else []
return jsonify({
'job_id': data['job_id'],
'recommended_worker_id': best_worker['worker_id'],
'recommendation_timestamp': datetime.utcnow().strftime("%Y-%m-%dT%H:%M:%SZ"),
'predicted_completion_time': calculate_completion_time(best_worker, data['urgency_level']),
'confidence_score': best_worker['job_success_rate'],
'alternative_workers': [
{
'worker_id': w['worker_id'],
'confidence_score': w['job_success_rate'],
'current_workload': w['current_workload']
} for w in alternative_workers
]
}), 200
except Exception as e:
logger.error(f"Job recommendation error: {str(e)}")
return jsonify({
'error': 'Internal server error',
'details': str(e)
}), 500
def calculate_completion_time(worker, urgency):
"""Calculate estimated completion time based on worker load and urgency"""
base_hours = {
'High': 2,
'Medium': 4,
'Low': 8
}
# Adjust based on workload
workload_factor = 1 + (worker['current_workload'] * 0.2) # 20% increase per existing job
estimated_hours = base_hours.get(urgency, 4) * workload_factor
completion_time = datetime.utcnow()
completion_time = completion_time.replace(
hour=completion_time.hour + int(estimated_hours),
minute=int((estimated_hours % 1) * 60)
)
return completion_time.strftime("%Y-%m-%dT%H:%M:%SZ")
# Health check endpoint
@api_bp.route('/health', methods=['GET'])
def health_check():
return jsonify({
'status': 'healthy',
'timestamp': datetime.utcnow().isoformat(),
'services': {
'translation': 'up',
'sentiment_analysis': 'up',
'intelligent_routing': 'up',
'job_recommendation': 'up'
}
}), 200
# Error handlers
@api_bp.errorhandler(404)
def not_found(error):
return jsonify({
'error': 'Not found',
'timestamp': datetime.utcnow().isoformat()
}), 404
@api_bp.errorhandler(500)
def server_error(error):
return jsonify({
'error': 'Internal server error',
'timestamp': datetime.utcnow().isoformat()
}), 500 |