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Create app.py
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app.py
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import os
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from fastapi import FastAPI, Request, HTTPException
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from concurrent.futures import ProcessPoolExecutor
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from typing import List, Optional
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from commonmeta import Metadata
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from pydantic import BaseModel
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app = FastAPI()
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executor = ProcessPoolExecutor(max_workers=os.cpu_count())
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def parse(string: str, via: str = None, to: str = None, **kwargs):
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try:
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metadata = Metadata(string=string, via=via, **kwargs)
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if not metadata.is_valid:
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raise ValueError(f"Error in parsing metadata, please verify the format.")
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except Exception as e:
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raise ValueError(f"Metadata fetch error: {str(e)}")
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try:
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parsed_metadata = metadata.write(to=to)
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return parsed_metadata
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except Exception as e:
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raise ValueError(f"Metadata write error: {str(e)}")
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def process_single(args):
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string, via, to, kwargs = args
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try:
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return parse(string, via=via, to=to, **kwargs)
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except ValueError as e:
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return {"error": str(e), "string": string}
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@app.get("/parse")
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async def parse_one(request: Request, string: str, to: str = None, via: str = None):
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kwargs = dict(request.query_params)
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kwargs.pop('string', None)
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kwargs.pop('to', None)
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kwargs.pop('via', None)
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try:
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parsed_metadata = parse(string, via=via, to=to, **kwargs)
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return {'data': parsed_metadata}
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except ValueError as e:
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raise HTTPException(status_code=400, detail=str(e))
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class BatchParseRequest(BaseModel):
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strings: str = ""
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to: str = None
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via: str = None
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@app.post("/parse_batch")
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async def batch_parse(payload: BatchParseRequest):
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kwargs = payload.dict()
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strings = kwargs.pop("strings").split(",")
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to = kwargs.pop("to", None)
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via = kwargs.pop("via", None)
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task_args = [(s, via, to, kwargs) for s in strings]
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results = list(executor.map(process_single, task_args))
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return {"batch": results}
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