
from argparse import ArgumentParser, Namespace
from typing import Any, List, Optional

from ..pipelines import Pipeline, get_supported_tasks, pipeline
from ..utils import logging
from . import BaseTransformersCLICommand


try:
					from fastapi import Body, FastAPI, HTTPException
					from fastapi.routing import APIRoute
					from pydantic import BaseModel
					from starlette.responses import JSONResponse
					from uvicorn import run

					UpperCamelCase_   	=	True
except (ImportError, AttributeError):
					UpperCamelCase_   	=	object






					def 		_UpperCAmelCase   (	*UpperCamelCase:     Tuple			,							**UpperCamelCase:     Tuple  ):






						"""simple docstring"""


						pass







					UpperCamelCase_   	=	False


UpperCamelCase_   	=	logging.get_logger("transformers-cli/serving")






def 		_UpperCAmelCase   (	UpperCamelCase:     Namespace  ):






	"""simple docstring"""


	__lowerCAmelCase         =							pipeline(
	    task=args.task			,							model=args.model if args.model else None			,							config=args.config			,							tokenizer=args.tokenizer			,							device=args.device			,							)
	return ServeCommand(lowerCamelCase_			,							args.host			,							args.port			,							args.workers  )

class       a		(   lowerCamelCase__					):
							lowercase_		:						str   							=  42

class       a		(   lowerCamelCase__					):
							lowercase_		:						Tuple   							=  42
							lowercase_		:						Any   							=  42

class       a		(   lowerCamelCase__					):
							lowercase_		:						str   							=  42

class       a		(   lowerCamelCase__					):
							lowercase_		:						Tuple   							=  42

class       a		(   lowerCamelCase__					):







							@staticmethod
							def       UpperCAmelCase__					(						snake_case__  :  Tuple ):
								"""simple docstring"""







								__lowerCAmelCase         =							parser.add_parser(
								    "serve"      ,				help="CLI tool to run inference requests through REST and GraphQL endpoints." )
								serve_parser.add_argument(
								    "--task"      ,				type=__lowerCamelCase      ,				choices=get_supported_tasks()      ,				help="The task to run the pipeline on"      ,				)
								serve_parser.add_argument("--host"      ,				type=__lowerCamelCase      ,				default="localhost"      ,				help="Interface the server will listen on." )
								serve_parser.add_argument("--port"      ,				type=__lowerCamelCase      ,				default=8_888      ,				help="Port the serving will listen to." )
								serve_parser.add_argument("--workers"      ,				type=__lowerCamelCase      ,				default=1      ,				help="Number of http workers" )
								serve_parser.add_argument("--model"      ,				type=__lowerCamelCase      ,				help="Model\'s name or path to stored model." )
								serve_parser.add_argument("--config"      ,				type=__lowerCamelCase      ,				help="Model\'s config name or path to stored model." )
								serve_parser.add_argument("--tokenizer"      ,				type=__lowerCamelCase      ,				help="Tokenizer name to use." )
								serve_parser.add_argument(
								    "--device"      ,				type=__lowerCamelCase      ,				default=-1      ,				help="Indicate the device to run onto, -1 indicates CPU, >= 0 indicates GPU (default: -1)"      ,				)
								serve_parser.set_defaults(func=__lowerCamelCase )







							def __init__(						self  :  List[Any]      ,				snake_case__  :  Union[str, Any]      ,				snake_case__  :  Optional[int]      ,				snake_case__  :  Union[str, Any]      ,				snake_case__  :  List[str] ):
								"""simple docstring"""







								__lowerCAmelCase         =							pipeline

								__lowerCAmelCase         =							host
								__lowerCAmelCase         =							port
								__lowerCAmelCase         =							workers

								if not _serve_dependencies_installed:
									raise RuntimeError(
									    "Using serve command requires FastAPI and uvicorn. "
									    "Please install transformers with [serving]: pip install \"transformers[serving]\"."
									    "Or install FastAPI and uvicorn separately." )
								else:
									logger.info(F"Serving model over {host}:{port}" )
									__lowerCAmelCase         =							FastAPI(
									    routes=[
									        APIRoute(
									            "/"      ,				self.model_info      ,				response_model=__lowerCamelCase      ,				response_class=__lowerCamelCase      ,				methods=["GET"]      ,				),
									        APIRoute(
									            "/tokenize"      ,				self.tokenize      ,				response_model=__lowerCamelCase      ,				response_class=__lowerCamelCase      ,				methods=["POST"]      ,				),
									        APIRoute(
									            "/detokenize"      ,				self.detokenize      ,				response_model=__lowerCamelCase      ,				response_class=__lowerCamelCase      ,				methods=["POST"]      ,				),
									        APIRoute(
									            "/forward"      ,				self.forward      ,				response_model=__lowerCamelCase      ,				response_class=__lowerCamelCase      ,				methods=["POST"]      ,				),
									    ]      ,				timeout=600      ,				)







							def       UpperCAmelCase__					(						self  :  List[Any] ):
								"""simple docstring"""







								run(self._app      ,				host=self.host      ,				port=self.port      ,				workers=self.workers )







							def       UpperCAmelCase__					(						self  :  List[Any] ):
								"""simple docstring"""







								return ServeModelInfoResult(infos=vars(self._pipeline.model.config ) )







							def       UpperCAmelCase__					(						self  :  Tuple      ,				snake_case__  :  Union[str, Any] = Body(__lowerCamelCase      ,				embed=__lowerCamelCase )      ,				snake_case__  :  Union[str, Any] = Body(__lowerCamelCase      ,				embed=__lowerCamelCase ) ):
								"""simple docstring"""







								try:
									__lowerCAmelCase         =							self._pipeline.tokenizer.tokenize(__lowerCamelCase )

									if return_ids:
										__lowerCAmelCase         =							self._pipeline.tokenizer.convert_tokens_to_ids(__lowerCamelCase )
										return ServeTokenizeResult(tokens=__lowerCamelCase      ,				tokens_ids=__lowerCamelCase )
									else:
										return ServeTokenizeResult(tokens=__lowerCamelCase )

								except Exception as e:
									raise HTTPException(status_code=500      ,				detail={"model": "", "error": str(__lowerCamelCase )} )







							def       UpperCAmelCase__					(						self  :  str      ,				snake_case__  :  Dict = Body(__lowerCamelCase      ,				embed=__lowerCamelCase )      ,				snake_case__  :  Union[str, Any] = Body(__lowerCamelCase      ,				embed=__lowerCamelCase )      ,				snake_case__  :  Any = Body(__lowerCamelCase      ,				embed=__lowerCamelCase )      ,				):
								"""simple docstring"""







								try:
									__lowerCAmelCase         =							self._pipeline.tokenizer.decode(__lowerCamelCase      ,				__lowerCamelCase      ,				__lowerCamelCase )
									return ServeDeTokenizeResult(model=""      ,				text=__lowerCamelCase )
								except Exception as e:
									raise HTTPException(status_code=500      ,				detail={"model": "", "error": str(__lowerCamelCase )} )







							async def       UpperCAmelCase__					(						self  :  Optional[int]      ,				snake_case__  :  List[Any]=Body(__lowerCamelCase      ,				embed=__lowerCamelCase ) ):
								"""simple docstring"""







								if len(__lowerCamelCase ) == 0:
									return ServeForwardResult(output=[]      ,				attention=[] )

								try:
									# Forward through the model
									__lowerCAmelCase         =							self._pipeline(__lowerCamelCase )
									return ServeForwardResult(output=__lowerCamelCase )
								except Exception as e:
									raise HTTPException(500      ,				{"error": str(__lowerCamelCase )} )


import fire

from utils import calculate_rouge, save_json






def 		_UpperCAmelCase   (	UpperCamelCase:     Any			,							UpperCamelCase:     Union[str, Any]			,							UpperCamelCase:     List[Any]=None			,							**UpperCamelCase:     Optional[int]  ):






	"""simple docstring"""


	__lowerCAmelCase         =							[x.strip() for x in open(UpperCamelCase  ).readlines()]
	__lowerCAmelCase         =							[x.strip() for x in open(UpperCamelCase  ).readlines()][: len(UpperCamelCase  )]
	__lowerCAmelCase         =							calculate_rouge(UpperCamelCase			,							UpperCamelCase			,							**UpperCamelCase  )
	if save_path is not None:
		save_json(UpperCamelCase			,							UpperCamelCase			,							indent=UpperCamelCase  )
	return metrics  # these print nicely


if __name__ == "__main__":
					fire.Fire(calculate_rouge_path)






