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import json
import uuid
import uvicorn
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 ValidationError
from samgis import PROJECT_ROOT_FOLDER
from samgis.utilities.type_hints import ApiRequestBody, StringPromptApiRequestBody
from samgis_core.utilities.fastapi_logger import setup_logging
app_logger = setup_logging(debug=True)
app = FastAPI()
try:
app_logger.info(f"PROJECT_ROOT_FOLDER:{PROJECT_ROOT_FOLDER}.")
except Exception as e:
app_logger.error(f"e:{e}.")
@app.middleware("http")
async def request_middleware(request, call_next):
request_id = str(uuid.uuid4())
with app_logger.contextualize(request_id=request_id):
app_logger.info("Request started")
try:
response = await call_next(request)
except Exception as ex:
app_logger.error(f"Request failed: {ex}")
response = JSONResponse(content={"success": False}, status_code=500)
finally:
response.headers["X-Request-ID"] = request_id
app_logger.info("Request ended")
return response
@app.post("/post_test_dictlist")
def post_test_dictlist2(request_input: ApiRequestBody) -> JSONResponse:
from samgis.io.wrappers_helpers import get_parsed_bbox_points_with_dictlist_prompt
request_body = get_parsed_bbox_points_with_dictlist_prompt(request_input)
app_logger.info(f"request_body:{request_body}.")
return JSONResponse(
status_code=200,
content=request_body
)
@app.get("/health")
async def health() -> JSONResponse:
from samgis.__version__ import __version__ as version
from samgis_core.__version__ import __version__ as version_core
app_logger.info(f"still alive, version:{version}, core version:{version_core}.")
return JSONResponse(status_code=200, content={"msg": "still alive..."})
@app.post("/post_test_string")
def post_test_string(request_input: StringPromptApiRequestBody) -> JSONResponse:
from lisa_on_cuda.utils import app_helpers
from samgis.io.wrappers_helpers import get_parsed_bbox_points_with_string_prompt
request_body = get_parsed_bbox_points_with_string_prompt(request_input)
app_logger.info(f"request_body:{request_body}.")
custom_args = app_helpers.parse_args([])
request_body["content"] = {**request_body, "precision": str(custom_args.precision)}
return JSONResponse(
status_code=200,
content=request_body
)
@app.post("/infer_lisa")
def infer_lisa(request_input: StringPromptApiRequestBody) -> JSONResponse:
from samgis.prediction_api import lisa
from samgis.io.wrappers_helpers import get_parsed_bbox_points_with_string_prompt
app_logger.info("starting lisa inference request...")
try:
import time
time_start_run = time.time()
body_request = get_parsed_bbox_points_with_string_prompt(request_input)
app_logger.info(f"lisa body_request:{body_request}.")
app_logger.info(f"lisa module:{lisa}.")
try:
output = lisa.lisa_predict(
bbox=body_request["bbox"], prompt=body_request["prompt"], zoom=body_request["zoom"],
source=body_request["source"]
)
duration_run = time.time() - time_start_run
app_logger.info(f"duration_run:{duration_run}.")
body = {
"duration_run": duration_run,
"output": output
}
return JSONResponse(status_code=200, content={"body": json.dumps(body)})
except Exception as inference_exception:
import subprocess
home_content = subprocess.run(
f"ls -l {PROJECT_ROOT_FOLDER}/", shell=True, universal_newlines=True, stdout=subprocess.PIPE
)
app_logger.error(f"'ls -l' command output: {home_content.stdout}.")
app_logger.error(f"inference error:{inference_exception}.")
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail="Internal server error on inference")
except ValidationError as va1:
app_logger.error(f"validation error: {str(va1)}.")
raise ValidationError("Unprocessable Entity")
@app.post("/infer_samgis")
def infer_samgis(request_input: ApiRequestBody) -> JSONResponse:
from samgis.prediction_api import predictors
from samgis.io.wrappers_helpers import get_parsed_bbox_points_with_dictlist_prompt
app_logger.info("starting samgis 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:
output = predictors.samexporter_predict(
bbox=body_request["bbox"], prompt=body_request["prompt"], zoom=body_request["zoom"],
source=body_request["source"]
)
duration_run = time.time() - time_start_run
app_logger.info(f"duration_run:{duration_run}.")
body = {
"duration_run": duration_run,
"output": output
}
return JSONResponse(status_code=200, content={"body": json.dumps(body)})
except Exception as inference_exception:
import subprocess
home_content = subprocess.run(
"ls -l /var/task", shell=True, universal_newlines=True, stdout=subprocess.PIPE
)
app_logger.error(f"/home/user ls -l: {home_content.stdout}.")
app_logger.error(f"inference error:{inference_exception}.")
raise HTTPException(
status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail="Internal server error on inference")
except ValidationError as va1:
app_logger.error(f"validation error: {str(va1)}.")
raise ValidationError("Unprocessable Entity")
@app.exception_handler(RequestValidationError)
async def request_validation_exception_handler(request: Request, exc: RequestValidationError) -> JSONResponse:
app_logger.error(f"exception errors: {exc.errors()}.")
app_logger.error(f"exception body: {exc.body}.")
headers = request.headers.items()
app_logger.error(f'request header: {dict(headers)}.')
params = request.query_params.items()
app_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:
app_logger.error(f"exception: {str(exc)}.")
headers = request.headers.items()
app_logger.error(f'request header: {dict(headers)}.')
params = request.query_params.items()
app_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("/lisa", StaticFiles(directory=PROJECT_ROOT_FOLDER / "static" / "dist", html=True), name="lisa")
@app.get("/lisa")
async def lisa() -> FileResponse:
return FileResponse(path=PROJECT_ROOT_FOLDER / "static" / "dist" / "lisa.html", media_type="text/html")
app.mount("/", StaticFiles(directory=PROJECT_ROOT_FOLDER / "static" / "dist", html=True), name="static")
@app.get("/")
async def index() -> FileResponse:
return FileResponse(path=PROJECT_ROOT_FOLDER / "static" / "dist" / "index.html", media_type="text/html")
if __name__ == '__main__':
try:
uvicorn.run(host="0.0.0.0", port=7860, app=app)
except Exception as e:
app_logger.error("e:", e)
raise e
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