42 lines
1.2 KiB
Python
42 lines
1.2 KiB
Python
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import requests, os, sys
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# src_dir = os.path.join(
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# os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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# )
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# sys.path.append(src_dir)
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# from dev_opsgpt.utils.common_utils import st_load_file
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# from dev_opsgpt.sandbox.pycodebox import PyCodeBox
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# from examples.file_fastapi import upload_file, download_file
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# from pathlib import Path
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# import httpx
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# from loguru import logger
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# from io import BytesIO
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# def _parse_url(url: str, base_url: str) -> str:
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# if (not url.startswith("http")
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# and base_url
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# ):
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# part1 = base_url.strip(" /")
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# part2 = url.strip(" /")
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# return f"{part1}/{part2}"
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# else:
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# return url
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# base_url: str = "http://127.0.0.1:7861"
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# timeout: float = 60.0,
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# url = "/files/upload"
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# url = _parse_url(url, base_url)
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# logger.debug(url)
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# kwargs = {}
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# kwargs.setdefault("timeout", timeout)
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# import asyncio
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# file = "./torch_test.py"
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# upload_filename = st_load_file(file, filename="torch_test.py")
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# asyncio.run(upload_file(upload_filename))
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import requests
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url = "http://127.0.0.1:7862/sdfiles/download?filename=torch_test.py&save_filename=torch_test.py"
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r = requests.get(url)
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print(type(r.text))
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