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import os
from fastapi import FastAPI, UploadFile, File
from FraudDetectionAgent import CodeAgent
app = FastAPI()
@app.post("/detect-fraud/")
async def detect_fraud(file: UploadFile = File(...)):
contents = await file.read()
temp_path = "temp_transactions.csv"
with open(temp_path, "wb") as f:
f.write(contents)
agent = CodeAgent(data_path=temp_path)
frauds = agent.run()
os.remove(temp_path)
return {"flagged_transactions": frauds}
from fastapi import FastAPI, UploadFile, File
from pydantic import BaseModel
from FraudDetectionAgent import FraudDetectionAgent
import pandas as pd
import os
app = FastAPI()
# Basic chat message schema
class ChatMessage(BaseModel):
message: str
@app.post("/chat/")
def chat_with_agent(msg: ChatMessage):
user_input = msg.message.lower()
if "fraud" in user_input:
return {"response": "You can upload a CSV file at /detect-fraud/ to check for fraudulent transactions."}
elif "hello" in user_input or "hi" in user_input:
return {"response": "Hello! I can help you detect transaction frauds. Ask me how."}
else:
return {"response": "I'm still learning! Try asking about fraud detection or uploading a CSV."}
@app.post("/detect-fraud/")
async def detect_fraud(file: UploadFile = File(...)):
contents = await file.read()
temp_path = "temp_transactions.csv"
with open(temp_path, "wb") as f:
f.write(contents)
agent = FraudDetectionAgent(data_path=temp_path)
frauds = agent.run()
os.remove(temp_path)
return {"flagged_transactions": [f.to_dict() for f in frauds]}
from fastapi import FastAPI, UploadFile, File
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
from FraudDetectionAgent import CodeAgent
import pandas as pd
import os
app = FastAPI()
# Enable CORS for browser frontend
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
class ChatMessage(BaseModel):
message: str
@app.post("/chat/")
def chat_with_agent(msg: ChatMessage):
text = msg.message.lower()
if "fraud" in text:
return {"response": "You can upload a CSV of transactions below and I'll tell you which ones look suspicious."}
elif "hello" in text:
return {"response": "Hi there! I'm your fraud detection assistant. Upload a CSV to get started."}
else:
return {
"response": "I'm here to help with transaction fraud detection. Try asking about fraud or upload your data."}
@app.post("/upload/")
async def upload_file(file: UploadFile = File(...)):
try:
temp_file = "temp_data.csv"
with open(temp_file, "wb") as f:
f.write(await file.read())
agent = FraudDetectionAgent(data_path=temp_file)
frauds = agent.run()
os.remove(temp_file)
if not frauds:
return {"response": "✅ No fraud detected!"}
summary = "\n".join([
f"- ID: {f.get('transaction_id')}, Amount: ${f.get('amount')}"
for f in frauds[:5]
])
return {"response": f"⚠️ Detected {len(frauds)} suspicious transactions:\n{summary}"}
except Exception as e:
return {"response": f"❌ Error processing file: {str(e)}"} |