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6949bd1999
These block on io reads which in turn block the server. Move them to their own thread. Closes: #1697 # What does this PR do? To avoid blocking the main eventloop, updates datasetio/localfs to load data in a seperate thread Signed-off-by: Derek Higgins <derekh@redhat.com>
47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import asyncio
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import base64
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import io
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from urllib.parse import unquote
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import pandas
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from llama_stack.providers.utils.memory.vector_store import parse_data_url
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async def get_dataframe_from_uri(uri: str):
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df = None
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if uri.endswith(".csv"):
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# Moving to its own thread to avoid io from blocking the eventloop
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# This isn't ideal as it moves more then just the IO to a new thread
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# but it is as close as we can easly get
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df = await asyncio.to_thread(pandas.read_csv, uri)
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elif uri.endswith(".xlsx"):
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df = await asyncio.to_thread(pandas.read_excel, uri)
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elif uri.startswith("data:"):
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parts = parse_data_url(uri)
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data = parts["data"]
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if parts["is_base64"]:
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data = base64.b64decode(data)
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else:
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data = unquote(data)
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encoding = parts["encoding"] or "utf-8"
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data = data.encode(encoding)
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mime_type = parts["mimetype"]
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mime_category = mime_type.split("/")[0]
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data_bytes = io.BytesIO(data)
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if mime_category == "text":
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df = pandas.read_csv(data_bytes)
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else:
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df = pandas.read_excel(data_bytes)
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else:
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raise ValueError(f"Unsupported file type: {uri}")
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return df
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