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Enhance error handling and logging for API key loading and request pr… #735

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merged 1 commit into from
Oct 31, 2024
Merged

Enhance error handling and logging for API key loading and request pr… #735

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35 changes: 26 additions & 9 deletions agrotech-ai-chatbot/src/main.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2,26 +2,41 @@
from flask_cors import CORS
import os
import json
import logging
from groq import Groq
import time

app = Flask(__name__)
CORS(app) # Enable CORS for all routes

# Set up logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)

# Load API key
working_dir = os.path.dirname(os.path.abspath(__file__))
config_data = json.load(open(f"{working_dir}/config.json"))
GROQ_API_KEY = config_data["GROQ_API_KEY"]
os.environ["GROQ_API_KEY"] = GROQ_API_KEY
try:
config_data = json.load(open(f"{working_dir}/config.json"))
GROQ_API_KEY = config_data["GROQ_API_KEY"]
os.environ["GROQ_API_KEY"] = GROQ_API_KEY
logger.info("API key loaded successfully.")
except FileNotFoundError:
logger.error("config.json file not found. Please add your API key in config.json.")
raise
except KeyError:
logger.error("GROQ_API_KEY is missing in config.json.")
raise
except Exception as e:
logger.error(f"Failed to load API key: {e}")
raise

client = Groq()

# Rate limiting variables
RATE_LIMIT = 20 # Maximum 20 requests per minute
rate_limit_store = {} # Store to track user requests by IP


# Premade requests
# Predefined responses for common questions
premade_requests = {
"What is AgroTech AI?": (
"AgroTech AI is a cutting-edge platform that uses artificial intelligence to improve farming practices. "
Expand Down Expand Up @@ -66,7 +81,6 @@
)
}


def is_rate_limited(ip):
current_time = time.time()
if ip not in rate_limit_store:
Expand All @@ -77,6 +91,7 @@ def is_rate_limited(ip):

# Check if the number of requests exceeds the rate limit
if len(rate_limit_store[ip]) >= RATE_LIMIT:
logger.warning(f"Rate limit exceeded for IP: {ip}")
return True
rate_limit_store[ip].append(current_time)
return False
Expand All @@ -91,8 +106,8 @@ def chat():
user_prompt = data.get('prompt')

# Check if the prompt matches a pre-made prompt

if premade_requests.get(user_prompt):
logger.info(f"Premade response provided for IP {ip}: {user_prompt}")
return jsonify({"response": premade_requests[user_prompt]})

# If not a pre-made prompt, use the LLM
Expand All @@ -107,9 +122,11 @@ def chat():
messages=messages
)
assistant_response = response.choices[0].message.content
logger.info(f"Response generated for IP {ip}")
return jsonify({"response": assistant_response})
except Exception as e:
return jsonify({"error": str(e)}), 500
logger.error(f"Error generating response for IP {ip}: {e}")
return jsonify({"error": "There was an error processing your request. Please try again later."}), 500

if __name__ == '__main__':
app.run()
app.run()
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