app.py

import json
import logging
import os
import pathlib
from typing import Callable, NoReturn

import gradio as gr
import spaces
import uvicorn
from fastapi import FastAPI, HTTPException, Request, status
from fastapi.exceptions import RequestValidationError
from fastapi.responses import FileResponse, HTMLResponse, JSONResponse
from fastapi.staticfiles import StaticFiles
from fastapi.templating import Jinja2Templates
from lisa_on_cuda.utils import app_helpers, frontend_builder, create_folders_and_variables_if_not_exists, session_logger
from pydantic import ValidationError

from samgis_lisa_on_zero import PROJECT_ROOT_FOLDER, WORKDIR
from samgis_lisa_on_zero.utilities.constants import GRADIO_EXAMPLE_BODY, GRADIO_EXAMPLES_TEXT_LIST, GRADIO_MARKDOWN
from samgis_lisa_on_zero.utilities.type_hints import StringPromptApiRequestBody


loglevel = os.getenv('LOGLEVEL', 'INFO').upper()
session_logger.change_logging(loglevel)
VITE_INDEX_URL = os.getenv("VITE_INDEX_URL", "/")
VITE_SAMGIS_URL = os.getenv("VITE_SAMGIS_URL", "/samgis")
VITE_LISA_URL = os.getenv("VITE_LISA_URL", "/lisa")
VITE_GRADIO_URL = os.getenv("VITE_GRADIO_URL", "/gradio")
FASTAPI_TITLE = "samgis-lisa-on-zero"
app = FastAPI(title=FASTAPI_TITLE, version="1.0")


@spaces.GPU
@session_logger.set_uuid_logging
def gpu_initialization() -> None:
    logging.info("GPU initialization...")


def get_example_complete(example_text):
    example_dict = dict(**GRADIO_EXAMPLE_BODY)
    example_dict["string_prompt"] = example_text
    return json.dumps(example_dict)


def get_gradio_interface_geojson(fn_inference: Callable):
    with gr.Blocks() as gradio_app:
        gr.Markdown(GRADIO_MARKDOWN)

        with gr.Row():
            with gr.Column():
                text_input = gr.Textbox(lines=1, placeholder=None, label="Payload input")
                btn = gr.Button(value="Submit")
            with gr.Column():
                text_output = gr.Textbox(lines=1, placeholder=None, label="Geojson Output")

        gr.Examples(
            examples=[
                get_example_complete(example) for example in GRADIO_EXAMPLES_TEXT_LIST
            ],
            inputs=[text_input],
        )
        btn.click(
            fn_inference,
            inputs=[text_input],
            outputs=[text_output]
        )
    return gradio_app


@session_logger.set_uuid_logging
def handle_exception_response(exception: Exception) -> NoReturn:
    import subprocess
    project_root_folder_content = subprocess.run(
        f"ls -l {PROJECT_ROOT_FOLDER}/", shell=True, universal_newlines=True, stdout=subprocess.PIPE
    )
    logging.error(f"project_root folder 'ls -l' command output: {project_root_folder_content.stdout}.")
    workdir_folder_content = subprocess.run(
        f"ls -l {WORKDIR}/", shell=True, universal_newlines=True, stdout=subprocess.PIPE
    )
    logging.error(f"workdir folder 'ls -l' command stdout: {workdir_folder_content.stdout}.")
    logging.error(f"workdir folder 'ls -l' command stderr: {workdir_folder_content.stderr}.")
    logging.error(f"inference error:{exception}.")
    raise HTTPException(
        status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail="Internal server error on inference"
    )


@app.get("/health")
@session_logger.set_uuid_logging
def health() -> JSONResponse:
    import importlib.metadata
    from importlib.metadata import PackageNotFoundError

    core_version = lisa_on_cuda_version = samgis_lisa_on_cuda_version = ""
    try:
        core_version = importlib.metadata.version('samgis_core')
        lisa_on_cuda_version = importlib.metadata.version('lisa-on-cuda')
        samgis_lisa_on_cuda_version = importlib.metadata.version('samgis-lisa-on-zero')
    except PackageNotFoundError as pe:
        logging.error(f"pe:{pe}.")

    msg = "still alive, "
    msg += f"""version:{samgis_lisa_on_cuda_version}, core version:{core_version},"""
    msg += f"""lisa-on-cuda version:{lisa_on_cuda_version},"""

    logging.info(msg)
    return JSONResponse(status_code=200, content={"msg": "still alive..."})


@session_logger.set_uuid_logging
def infer_lisa_gradio(request_input: StringPromptApiRequestBody) -> str:
    from samgis_lisa_on_zero.io_package.wrappers_helpers import get_parsed_bbox_points_with_string_prompt
    from samgis_lisa_on_zero.prediction_api import lisa
    from samgis_lisa_on_zero.utilities.constants import LISA_INFERENCE_FN

    logging.info("starting lisa inference request...")

    try:
        import time

        time_start_run = time.time()
        body_request = get_parsed_bbox_points_with_string_prompt(request_input)
        logging.info(f"lisa body_request:{body_request}.")
        try:
            source = body_request["source"]
            source_name = body_request["source_name"]
            logging.debug(f"body_request:type(source):{type(source)}, source:{source}.")
            logging.debug(f"body_request:type(source_name):{type(source_name)}, source_name:{source_name}.")
            logging.debug(f"lisa module:{lisa}.")
            gpu_initialization()
            output = lisa.lisa_predict(
                bbox=body_request["bbox"], prompt=body_request["prompt"], zoom=body_request["zoom"],
                source=source, source_name=source_name, inference_function_name_key=LISA_INFERENCE_FN
            )
            duration_run = time.time() - time_start_run
            logging.info(f"duration_run:{duration_run}.")
            body = {
                "duration_run": duration_run,
                "output": output
            }
            dumped = json.dumps(body)
            logging.info(f"json.dumps(body) type:{type(dumped)}, len:{len(dumped)}.")
            logging.debug(f"complete json.dumps(body):{dumped}.")
            return dumped
        except Exception as inference_exception:
            handle_exception_response(inference_exception)
    except ValidationError as va1:
        logging.error(f"validation error: {str(va1)}.")
        raise ValidationError("Unprocessable Entity")


@session_logger.set_uuid_logging
@app.post("/infer_lisa")
def infer_lisa(request_input: StringPromptApiRequestBody) -> JSONResponse:
    dumped = infer_lisa_gradio(request_input=request_input)
    logging.info(f"json.dumps(body) type:{type(dumped)}, len:{len(dumped)}.")
    logging.debug(f"complete json.dumps(body):{dumped}.")
    return JSONResponse(status_code=200, content={"body": dumped})


@app.exception_handler(RequestValidationError)
@session_logger.set_uuid_logging
def request_validation_exception_handler(request: Request, exc: RequestValidationError) -> JSONResponse:
    logging.error(f"exception errors: {exc.errors()}.")
    logging.error(f"exception body: {exc.body}.")
    headers = request.headers.items()
    logging.error(f'request header: {dict(headers)}.')
    params = request.query_params.items()
    logging.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)
@session_logger.set_uuid_logging
def http_exception_handler(request: Request, exc: HTTPException) -> JSONResponse:
    logging.error(f"exception: {str(exc)}.")
    headers = request.headers.items()
    logging.error(f'request header: {dict(headers)}.')
    params = request.query_params.items()
    logging.error(f'request query params: {dict(params)}.')
    return JSONResponse(
        status_code=status.HTTP_500_INTERNAL_SERVER_ERROR,
        content={"msg": "Error - Internal Server Error"}
    )


write_tmp_on_disk = os.getenv("WRITE_TMP_ON_DISK", "")
logging.info(f"write_tmp_on_disk:{write_tmp_on_disk}.")
if bool(write_tmp_on_disk):
    try:
        path_write_tmp_on_disk = pathlib.Path(write_tmp_on_disk)
        try:
            pathlib.Path.unlink(path_write_tmp_on_disk, missing_ok=True)
        except (IsADirectoryError, PermissionError, OSError) as err:
            logging.error(f"{err} while removing old write_tmp_on_disk:{write_tmp_on_disk}.")
            logging.error(f"is file?{path_write_tmp_on_disk.is_file()}.")
            logging.error(f"is symlink?{path_write_tmp_on_disk.is_symlink()}.")
            logging.error(f"is folder?{path_write_tmp_on_disk.is_dir()}.")
        os.makedirs(write_tmp_on_disk, exist_ok=True)
        app.mount("/vis_output", StaticFiles(directory=write_tmp_on_disk), name="vis_output")
    except RuntimeError as runtime_error:
        logging.error(f"{runtime_error} while loading the folder write_tmp_on_disk:{write_tmp_on_disk}...")
        raise runtime_error
    templates = Jinja2Templates(directory=WORKDIR / "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}
        )

static_dist_folder = WORKDIR / "static" / "dist"
frontend_builder.build_frontend(
    project_root_folder=frontend_builder.env_project_root_folder,
    input_css_path=frontend_builder.env_input_css_path,
    output_dist_folder=static_dist_folder
)
create_folders_and_variables_if_not_exists.folders_creation()

logging.info("build_frontend ok!")

templates = Jinja2Templates(directory="templates")

app.mount("/static", StaticFiles(directory=static_dist_folder, html=True), name="static")
# important: the index() function and the app.mount MUST be at the end
# samgis.html
app.mount(VITE_SAMGIS_URL, StaticFiles(directory=static_dist_folder, html=True), name="samgis")


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


# lisa.html
app.mount(VITE_LISA_URL, StaticFiles(directory=static_dist_folder, html=True), name="lisa")


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


# index.html (lisa.html copy)
app.mount(VITE_INDEX_URL, StaticFiles(directory=static_dist_folder, html=True), name="index")


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


app_helpers.logging.info(f"creating gradio interface...")
io = get_gradio_interface_geojson(infer_lisa_gradio)
app_helpers.logging.info(
    f"gradio interface created, mounting gradio app on url {VITE_GRADIO_URL} within FastAPI...")
app = gr.mount_gradio_app(app, io, path=VITE_GRADIO_URL)
app_helpers.logging.info("mounted gradio app within fastapi")


if __name__ == '__main__':
    try:
        uvicorn.run(host="0.0.0.0", port=7860, app=app)
    except Exception as ex:
        import logging

        logging.error(f"fastapi/gradio application {FASTAPI_TITLE}, exception:{ex}.")
        print(f"fastapi/gradio application {FASTAPI_TITLE}, exception:{ex}.")
        raise ex