app.py

import json
import os
from pathlib import Path

import structlog.stdlib
import uvicorn
from asgi_correlation_id import CorrelationIdMiddleware
from dotenv import load_dotenv
from fastapi import FastAPI, HTTPException, Request
from fastapi.exceptions import RequestValidationError
from fastapi.responses import FileResponse, HTMLResponse
from fastapi.staticfiles import StaticFiles
from fastapi.templating import Jinja2Templates
from pydantic import ValidationError
from samgis_core.utilities import create_folders_if_not_exists
from samgis_web.utilities import frontend_builder
from samgis_core.utilities.session_logger import setup_logging
from samgis_web.prediction_api.predictors import samexporter_predict
from samgis_web.utilities.type_hints import ApiRequestBody
from starlette.responses import JSONResponse


load_dotenv()
project_root_folder = Path(globals().get("__file__", "./_")).absolute().parent
workdir = os.getenv("WORKDIR", project_root_folder)
model_folder = Path(project_root_folder / "machine_learning_models")

log_level = os.getenv("LOG_LEVEL", "INFO")
setup_logging(log_level=log_level)
app_logger = structlog.stdlib.get_logger()
app_logger.info(f"PROJECT_ROOT_FOLDER:{project_root_folder}, WORKDIR:{workdir}.")

folders_map = os.getenv("FOLDERS_MAP", "{}")
markdown_text = os.getenv("MARKDOWN_TEXT", "")
examples_text_list = os.getenv("EXAMPLES_TEXT_LIST", "").split("\n")
example_body = json.loads(os.getenv("EXAMPLE_BODY", "{}"))
mount_gradio_app = bool(os.getenv("MOUNT_GRADIO_APP", ""))

static_dist_folder = Path(project_root_folder) / "static" / "dist"
input_css_path = os.getenv("INPUT_CSS_PATH", "src/input.css")
vite_gradio_url = os.getenv("VITE_GRADIO_URL", "/gradio")
vite_index_url = os.getenv("VITE_INDEX_URL", "/")
vite_samgis_url = os.getenv("VITE_SAMGIS_URL", "/samgis")
fastapi_title = "samgis"
app = FastAPI(title=fastapi_title, version="1.0")


@app.middleware("http")
async def request_middleware(request, call_next):
    from samgis_web.web.middlewares import logging_middleware

    return await logging_middleware(request, call_next)


@app.get("/health")
async def health() -> JSONResponse:
    from samgis_web.__version__ import __version__ as version_web
    from samgis_core.__version__ import __version__ as version_core

    app_logger.info(f"still alive, version_web:{version_web}, version_core:{version_core}.")
    return JSONResponse(status_code=200, content={"msg": "still alive..."})


def infer_samgis_fn(request_input: ApiRequestBody | str) -> str | JSONResponse:
    from samgis_web.web.web_helpers import get_parsed_bbox_points_with_dictlist_prompt

    app_logger.info("starting inference request...")
    try:
        import time

        time_start_run = time.time()
        body_request = get_parsed_bbox_points_with_dictlist_prompt(request_input)
        app_logger.info(f"body_request:{body_request}.")
        try:
            app_logger.info(f"source_name = {body_request['source_name']}.")
            output = samexporter_predict(
                bbox=body_request["bbox"], prompt=body_request["prompt"], zoom=body_request["zoom"],
                source=body_request["source"], source_name=body_request['source_name'], model_folder=model_folder
            )
            duration_run = time.time() - time_start_run
            app_logger.info(f"duration_run:{duration_run}.")
            body = {
                "duration_run": duration_run,
                "output": output
            }
            dumped = json.dumps(body)
            app_logger.info(f"json.dumps(body) type:{type(dumped)}, len:{len(dumped)}.")
            app_logger.debug(f"complete json.dumps(body):{dumped}.")
            return dumped
        except Exception as inference_exception:
            app_logger.error(f"inference_exception:{inference_exception}.")
            app_logger.error(f"inference_exception, request_input:{request_input}.")
            raise HTTPException(status_code=500, detail="Internal Server Error")
    except ValidationError as va1:
        app_logger.error(f"validation error: {str(va1)}.")
        app_logger.error(f"ValidationError, request_input:{request_input}.")
        raise RequestValidationError("Unprocessable Entity")


@app.post("/infer_samgis")
def infer_samgis(request_input: ApiRequestBody) -> JSONResponse:
    dumped = infer_samgis_fn(request_input=request_input)
    app_logger.info(f"json.dumps(body) type:{type(dumped)}, len:{len(dumped)}.")
    app_logger.debug(f"complete json.dumps(body):{dumped}.")
    return JSONResponse(status_code=200, content={"body": dumped})


@app.exception_handler(RequestValidationError)
def request_validation_exception_handler(request: Request, exc: RequestValidationError) -> JSONResponse:
    from samgis_web.web import exception_handlers

    return exception_handlers.request_validation_exception_handler(request, exc)


@app.exception_handler(HTTPException)
def http_exception_handler(request: Request, exc: HTTPException) -> JSONResponse:
    from samgis_web.web import exception_handlers

    return exception_handlers.http_exception_handler(request, exc)


create_folders_if_not_exists.folders_creation(folders_map)
write_tmp_on_disk = os.getenv("WRITE_TMP_ON_DISK", "")
app_logger.info(f"write_tmp_on_disk:{write_tmp_on_disk}.")
if bool(write_tmp_on_disk):
    try:
        assert Path(write_tmp_on_disk).is_dir()
        app.mount("/vis_output", StaticFiles(directory=write_tmp_on_disk), name="vis_output")
        templates = Jinja2Templates(directory=str(project_root_folder / "static"))


        @app.get("/vis_output", response_class=HTMLResponse)
        def list_files(request: Request):

            files = os.listdir(write_tmp_on_disk)
            files_paths = sorted([f"{request.url._url}/{f}" for f in files])
            print(files_paths)
            return templates.TemplateResponse(
                "list_files.html", {"request": request, "files": files_paths}
            )
    except (AssertionError, RuntimeError) as rerr:
        app_logger.error(f"{rerr} while loading the folder write_tmp_on_disk:{write_tmp_on_disk}...")
        raise rerr

frontend_builder.build_frontend(
    project_root_folder=workdir,
    input_css_path=input_css_path,
    output_dist_folder=static_dist_folder
)
app_logger.info("build_frontend ok!")

# eventually needed for tailwindcss output.css
app.mount("/static", StaticFiles(directory=static_dist_folder, html=True), name="static")
app.mount(vite_index_url, StaticFiles(directory=static_dist_folder, html=True), name="index")
app.mount(vite_gradio_url, StaticFiles(directory=static_dist_folder, html=True), name="gradio")


@app.get(vite_index_url)
async def index() -> FileResponse:
    return FileResponse(path=static_dist_folder / "index.html", media_type="text/html")


app_logger.info(f"Mounted index on url path {vite_index_url} .")
app_logger.info(f"There is need to create and mount gradio app interface? {mount_gradio_app}...")
if mount_gradio_app:
    try:
        import gradio as gr
        from samgis_web.web.gradio_helpers import get_gradio_interface_geojson

        app_logger.info(f"creating gradio interface...")
        gr_interface = get_gradio_interface_geojson(
            infer_samgis_fn,
            markdown_text,
            examples_text_list,
            example_body
        )
        app_logger.info(f"gradio interface created, mounting gradio app on url path {vite_gradio_url} within FastAPI.")
        app_logger.debug(f"gr_interface vars:{vars(gr_interface)}.")
        app = gr.mount_gradio_app(app, gr_interface, path=vite_gradio_url)
        app = gr.mount_gradio_app(app, gr_interface, path="/gradio")
        app_logger.info(f"mounted gradio app within fastapi, url path {vite_gradio_url} .")
    except (ModuleNotFoundError, ImportError) as mnfe:
        app_logger.error("cannot import gradio, have you installed it if you want to mount a gradio app?")
        app_logger.error(mnfe)
        raise mnfe


# add the CorrelationIdMiddleware AFTER the @app.middleware("http") decorated function to avoid missing request id
app.add_middleware(CorrelationIdMiddleware)


if __name__ == '__main__':
    try:
        uvicorn.run("app:app", host="0.0.0.0", port=7860)
    except Exception as ex:
        app_logger.error(f"fastapi/gradio application {fastapi_title}, exception:{ex}.")
        print(f"fastapi/gradio application {fastapi_title}, exception:{ex}.")
        raise ex