upt

Author: VedantAndhale

Dockerfile

@@ -0,0 +1,33 @@
+# Use Python 3.11 as base image
+FROM python:3.11-slim
+
+# Set working directory
+WORKDIR /app
+
+# Set environment variables
+ENV PYTHONDONTWRITEBYTECODE=1
+ENV PYTHONUNBUFFERED=1
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    gcc \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements first (for better Docker layer caching)
+COPY requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application code
+COPY . .
+
+# Create non-root user for security
+RUN useradd --create-home --shell /bin/bash app && chown -R app:app /app
+USER app
+
+# Expose port
+EXPOSE 8080
+
+# Use Gunicorn with Uvicorn workers for FastAPI
+CMD ["gunicorn", "main:app", "--workers", "4", "--worker-class", "uvicorn.workers.UvicornWorker", "--bind", "0.0.0.0:8080", "--timeout", "120"]

deploy.sh

@@ -7,7 +7,7 @@ set -e
 # Configuration
 PROJECT_ID=${PROJECT_ID:-"your-project-id"}
 REGION=${REGION:-"us-central1"}
-SERVICE_NAME=${SERVICE_NAME:-"whatsapp-bot"}
+SERVICE_NAME=${SERVICE_NAME:-"be-project"}
 IMAGE_NAME="gcr.io/${PROJECT_ID}/${SERVICE_NAME}"
 
 echo "🚀 Deploying WhatsApp Bot to Google Cloud Run..."
@@ -29,12 +29,12 @@ gcloud run deploy ${SERVICE_NAME} \
   --platform managed \
   --region ${REGION} \
   --allow-unauthenticated \
-  --memory 1Gi \
-  --cpu 1 \
+  --memory 2Gi \
+  --cpu 2 \
   --timeout 300 \
   --max-instances 10 \
-  --set-env-vars PORT=8080 \
-  --port 8080
+  --port 8080 \
+  --set-env-vars PORT=8080
 
 echo "✅ Deployment complete!"
 

main.py

@@ -155,3 +155,15 @@ async def handle_analyze(self, _, msg: types.Message):
 app = FastAPI()
 # Create an instance of the WhatsAppBot which registers the handlers
 bot = WhatsAppBot(app)
+
+# Add a simple health check endpoint
+@app.get("/")
+async def health_check():
+    return {"status": "healthy", "message": "WhatsApp Bot is running"}
+
+if __name__ == "__main__":
+    import uvicorn
+    import os
+    
+    port = int(os.environ.get("PORT", 8080))
+    uvicorn.run(app, host="0.0.0.0", port=port)

requirements.txt

@@ -69,3 +69,4 @@ uvloop==0.21.0
 watchfiles==1.0.4
 websockets==14.2
 yarl==1.18.3
+gunicorn==23.0.0

start.sh

@@ -0,0 +1,11 @@
+#!/bin/bash
+
+# Start the FastAPI application with Gunicorn and Uvicorn workers
+exec gunicorn main:app \
+    --workers 4 \
+    --worker-class uvicorn.workers.UvicornWorker \
+    --bind 0.0.0.0:${PORT:-8080} \
+    --timeout 120 \
+    --keep-alive 2 \
+    --max-requests 1000 \
+    --max-requests-jitter 100