import json from typing import List from fastapi import FastAPI, HTTPException, Request, status from fastapi.exceptions import RequestValidationError from fastapi.responses import FileResponse, JSONResponse from fastapi.staticfiles import StaticFiles from pydantic import BaseModel from src.utilities.type_hints import input_floatlist, input_floatlist2 from src.utilities.utilities import setup_logging app = FastAPI() class Input(BaseModel): x1: float y1: float x2: float y2: float x: float y: float class BBoxWithPoint(BaseModel): bbox: input_floatlist point: input_floatlist2 def get_parsed_bbox_points(request_input: Input) -> BBoxWithPoint: return { "bbox": [ request_input.x1, request_input.x2, request_input.y1, request_input.y2 ], "point": [[request_input.x, request_input.y]] } @app.post("/post_test") async def post_test(request_input: Input) -> JSONResponse: return JSONResponse( status_code=200, content=get_parsed_bbox_points(request_input) ) @app.get("/hello") async def hello() -> JSONResponse: return JSONResponse(status_code=200, content={"msg": "hello"}) @app.post("/infer_samgeo") def samgeo(request_input: Input): import subprocess from src.prediction_api.predictor import base_predict local_logger = setup_logging() local_logger.info("starting inference request...") try: import time time_start_run = time.time() # debug = True # local_logger = setup_logging(debug) request_body = get_parsed_bbox_points(request_input) local_logger.info(f"request_body:{request_body}.") try: output = base_predict( bbox=request_body["bbox"], point_coords=request_body["point"] ) duration_run = time.time() - time_start_run body = { "duration_run": duration_run, # "request_id": request_id } local_logger.info(f"body:{body}.") body["output"] = output # local_logger.info(f"End_request::{request_id}...") return JSONResponse(status_code=200, content={"body": json.dumps(body)}) except Exception as inference_exception: home_content = subprocess.run("ls -l /home/user", shell=True, universal_newlines=True, stdout=subprocess.PIPE) local_logger.error(f"/home/user ls -l: {home_content.stdout}.") local_logger.error(f"inference error:{inference_exception}.") return HTTPException(status_code=500, detail="Internal server error on inference") except Exception as generic_exception: local_logger.error(f"generic error:{generic_exception}.") return HTTPException(status_code=500, detail="Generic internal server error") @app.exception_handler(RequestValidationError) async def request_validation_exception_handler(request: Request, exc: RequestValidationError) -> JSONResponse: local_logger = setup_logging() local_logger.error(f"exception errors: {exc.errors()}.") local_logger.error(f"exception body: {exc.body}.") headers = request.headers.items() local_logger.error(f'request header: {dict(headers)}.' ) params = request.query_params.items() local_logger.error(f'request query params: {dict(params)}.') return JSONResponse( status_code=status.HTTP_422_UNPROCESSABLE_ENTITY, content={"msg": "Error - Unprocessable Entity"} ) @app.exception_handler(HTTPException) async def http_exception_handler(request: Request, exc: HTTPException) -> JSONResponse: local_logger = setup_logging() local_logger.error(f"exception: {str(exc)}.") headers = request.headers.items() local_logger.error(f'request header: {dict(headers)}.' ) params = request.query_params.items() local_logger.error(f'request query params: {dict(params)}.') return JSONResponse( status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, content={"msg": "Error - Internal Server Error"} ) # important: the index() function and the app.mount MUST be at the end app.mount("/", StaticFiles(directory="static", html=True), name="static") @app.get("/") def index() -> FileResponse: return FileResponse(path="/app/static/index.html", media_type="text/html")