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Update app.py
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from fastapi import FastAPI
from fastapi.responses import Response
from fastapi.responses import FileResponse
from pydantic import BaseModel
import random
import matplotlib.pyplot as plt
import pandas as pd
import io
app = FastAPI()
# Define the ticket schema using Pydantic
class Ticket(BaseModel):
name: str
department: str
category: str
description: str
service_category: str
difficulty: int # Adjust type as needed (e.g., int or str)
class Code(BaseModel):
code: str
@app.get("/")
def greet_json():
return {"Hello": "World!"}
@app.post("/ticket")
async def create_ticket(ticket: Ticket):
# Here you can process the ticket, e.g., save it to a database.
# For now, we simply return the received ticket data.
tick = ticket.dict()
tick["number"] = random.randint(1000, 9999)
return {
"message": "Ticket created successfully",
"ticket": tick
}
@app.post("/run_code")
async def run_code(code: Code):
# img_buffer = io.BytesIO()
exec(code.code)
# img_buffer.seek(0) # Reset buffer position
file_path = "graph.pdf"
# if "plt.subplots(" in code.code:
# print("SUBPLOTS DETECTED")
# exec(code.code + "\nfig.savefig(file_path)\nplt.close()")
# else:
# print("NO SUBPLOTS")
# exec(code.code + "\nplt.savefig(file_path)\nplt.close()")
# plt.close()
# plt.savefig(file_path)
# plt.close()
# Get all open figure numbers
figures = [plt.figure(i) for i in plt.get_fignums()]
# Save all figures in a single PDF
if figures:
figures[0].savefig("graph.pdf", format="pdf")
for fig in figures[1:]:
fig.savefig("graph.pdf", format="pdf", bbox_inches="tight", append=True)
plt.close("all") # Close all figures
else:
print("No open figures found.")
# return Response(content=img_buffer.getvalue(), media_type="image/png")
# return FileResponse(file_path, media_type="image/png")
return FileResponse(file_path, media_type="application/pdf", filename="graph.pdf")