mirror of
https://github.com/hwchase17/langchain
synced 2024-11-02 09:40:22 +00:00
6da3d92b42
We are pushing out the removal of these to 0.3.
`find . -type f -name "*.py" -exec sed -i ''
's/removal="0\.2/removal="0.3/g' {} +`
90 lines
3.2 KiB
Python
90 lines
3.2 KiB
Python
import os
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import tempfile
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from typing import Callable, List, Optional
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from langchain_core._api.deprecation import deprecated
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from langchain_core.documents import Document
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from langchain_community.document_loaders.base import BaseLoader
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from langchain_community.document_loaders.unstructured import UnstructuredFileLoader
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from langchain_community.utilities.vertexai import get_client_info
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@deprecated(
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since="0.0.32",
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removal="0.3.0",
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alternative_import="langchain_google_community.GCSFileLoader",
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)
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class GCSFileLoader(BaseLoader):
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"""Load from GCS file."""
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def __init__(
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self,
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project_name: str,
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bucket: str,
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blob: str,
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loader_func: Optional[Callable[[str], BaseLoader]] = None,
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):
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"""Initialize with bucket and key name.
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Args:
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project_name: The name of the project to load
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bucket: The name of the GCS bucket.
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blob: The name of the GCS blob to load.
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loader_func: A loader function that instantiates a loader based on a
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file_path argument. If nothing is provided, the
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UnstructuredFileLoader is used.
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Examples:
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To use an alternative PDF loader:
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>> from from langchain_community.document_loaders import PyPDFLoader
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>> loader = GCSFileLoader(..., loader_func=PyPDFLoader)
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To use UnstructuredFileLoader with additional arguments:
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>> loader = GCSFileLoader(...,
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>> loader_func=lambda x: UnstructuredFileLoader(x, mode="elements"))
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"""
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self.bucket = bucket
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self.blob = blob
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self.project_name = project_name
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def default_loader_func(file_path: str) -> BaseLoader:
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return UnstructuredFileLoader(file_path)
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self._loader_func = loader_func if loader_func else default_loader_func
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def load(self) -> List[Document]:
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"""Load documents."""
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try:
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from google.cloud import storage
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except ImportError:
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raise ImportError(
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"Could not import google-cloud-storage python package. "
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"Please install it with `pip install google-cloud-storage`."
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)
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# initialize a client
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storage_client = storage.Client(
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self.project_name, client_info=get_client_info("google-cloud-storage")
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)
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# Create a bucket object for our bucket
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bucket = storage_client.get_bucket(self.bucket)
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# Create a blob object from the filepath
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blob = bucket.blob(self.blob)
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# retrieve custom metadata associated with the blob
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metadata = bucket.get_blob(self.blob).metadata
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with tempfile.TemporaryDirectory() as temp_dir:
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file_path = f"{temp_dir}/{self.blob}"
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os.makedirs(os.path.dirname(file_path), exist_ok=True)
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# Download the file to a destination
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blob.download_to_filename(file_path)
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loader = self._loader_func(file_path)
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docs = loader.load()
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for doc in docs:
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if "source" in doc.metadata:
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doc.metadata["source"] = f"gs://{self.bucket}/{self.blob}"
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if metadata:
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doc.metadata.update(metadata)
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return docs
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