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Dockerfile

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+# Use the official Python image from the Docker Hub
+FROM python:3.11-slim
+
+# Set the working directory in the container
+WORKDIR /app
+
+# Copy the requirements file to the working directory
+COPY requirements.txt .
+
+# Install the required dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy the FastAPI application code to the container
+COPY . .
+
+# Expose the port that FastAPI will run on
+EXPOSE 8000
+
+# Command to run the FastAPI application using uvicorn
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]

main.py

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+from fastapi import FastAPI, HTTPException
+from pydantic import BaseModel
+import boto3
+import json
+import uuid
+from fastapi.middleware.cors import CORSMiddleware
+# from mangum import Mangum
+import logging
+
+# AWS S3 Configuration
+AWS_ACCESS_KEY = "AKIARZ5BMNDRSZIKZIVE"
+AWS_SECRET_KEY = "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"
+BUCKET_NAME = "c2r-demo-requests"
+BUCKET_NAME_PRICING = "c2r-website-pricing-request"
+
+# Initialize S3 client
+s3_client = boto3.client(
+    "s3",
+    aws_access_key_id=AWS_ACCESS_KEY,
+    aws_secret_access_key=AWS_SECRET_KEY,
+)
+
+# Initialize FastAPI
+app = FastAPI()
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],  # Update to a specific domain in production
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+# Data Model for User Input
+class UserData(BaseModel):
+    name: str
+    companyName: str
+    email: str
+
+class UserDataPricing(BaseModel):
+    name: str
+    email: str
+    interestedInDemo : bool
+
+
+logging.basicConfig(level=logging.INFO)
+@app.post("/process-form")
+async def process_form(data: UserData):
+    logging.info(f"Received data:{data}")
+    try:
+        # Generate a unique filename
+        filename = f"user_data_{uuid.uuid4()}.json"
+
+        # Convert user data to JSON format
+        json_data = json.dumps(data.dict())
+
+        # Upload JSON data to S3
+        s3_client.put_object(
+            Bucket=BUCKET_NAME,
+            Key=filename,
+            Body=json_data,
+            ContentType="application/json"
+        )
+
+        return {"message": "User data saved successfully!"}
+
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Error saving user data: {e}")
+
+
+@app.post("/pricing-request")
+async def process_form(data: UserDataPricing):
+    logging.info(f"Received data:{data}")
+    try:
+        # Generate a unique filename
+        filename = f"user_data_{uuid.uuid4()}.json"
+
+        # Convert user data to JSON format
+        json_data = json.dumps(data.dict())
+
+        # Upload JSON data to S3
+        s3_client.put_object(
+            Bucket=BUCKET_NAME_PRICING,
+            Key=filename,
+            Body=json_data,
+            ContentType="application/json"
+        )
+
+        return {"message": "User data saved successfully!"}
+
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=f"Error saving user data: {e}")
+# Lambda handler using Mangum
+# handler = Mangum(app)