mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
130 lines
5.3 KiB
Python
130 lines
5.3 KiB
Python
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from __future__ import annotations
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import os
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import tempfile
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from typing import TYPE_CHECKING, List, Optional, Union
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from langchain_community.document_loaders.unstructured import UnstructuredBaseLoader
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if TYPE_CHECKING:
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import botocore
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class S3FileLoader(UnstructuredBaseLoader):
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"""Load from `Amazon AWS S3` file."""
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def __init__(
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self,
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bucket: str,
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key: str,
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*,
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region_name: Optional[str] = None,
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api_version: Optional[str] = None,
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use_ssl: Optional[bool] = True,
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verify: Union[str, bool, None] = None,
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endpoint_url: Optional[str] = None,
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aws_access_key_id: Optional[str] = None,
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aws_secret_access_key: Optional[str] = None,
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aws_session_token: Optional[str] = None,
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boto_config: Optional[botocore.client.Config] = None,
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):
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"""Initialize with bucket and key name.
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:param bucket: The name of the S3 bucket.
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:param key: The key of the S3 object.
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:param region_name: The name of the region associated with the client.
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A client is associated with a single region.
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:param api_version: The API version to use. By default, botocore will
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use the latest API version when creating a client. You only need
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to specify this parameter if you want to use a previous API version
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of the client.
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:param use_ssl: Whether or not to use SSL. By default, SSL is used.
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Note that not all services support non-ssl connections.
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:param verify: Whether or not to verify SSL certificates.
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By default SSL certificates are verified. You can provide the
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following values:
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* False - do not validate SSL certificates. SSL will still be
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used (unless use_ssl is False), but SSL certificates
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will not be verified.
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* path/to/cert/bundle.pem - A filename of the CA cert bundle to
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uses. You can specify this argument if you want to use a
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different CA cert bundle than the one used by botocore.
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:param endpoint_url: The complete URL to use for the constructed
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client. Normally, botocore will automatically construct the
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appropriate URL to use when communicating with a service. You can
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specify a complete URL (including the "http/https" scheme) to
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override this behavior. If this value is provided, then
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``use_ssl`` is ignored.
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:param aws_access_key_id: The access key to use when creating
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the client. This is entirely optional, and if not provided,
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the credentials configured for the session will automatically
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be used. You only need to provide this argument if you want
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to override the credentials used for this specific client.
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:param aws_secret_access_key: The secret key to use when creating
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the client. Same semantics as aws_access_key_id above.
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:param aws_session_token: The session token to use when creating
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the client. Same semantics as aws_access_key_id above.
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:type boto_config: botocore.client.Config
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:param boto_config: Advanced boto3 client configuration options. If a value
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is specified in the client config, its value will take precedence
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over environment variables and configuration values, but not over
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a value passed explicitly to the method. If a default config
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object is set on the session, the config object used when creating
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the client will be the result of calling ``merge()`` on the
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default config with the config provided to this call.
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"""
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super().__init__()
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self.bucket = bucket
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self.key = key
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self.region_name = region_name
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self.api_version = api_version
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self.use_ssl = use_ssl
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self.verify = verify
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self.endpoint_url = endpoint_url
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self.aws_access_key_id = aws_access_key_id
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self.aws_secret_access_key = aws_secret_access_key
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self.aws_session_token = aws_session_token
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self.boto_config = boto_config
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def _get_elements(self) -> List:
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"""Get elements."""
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from unstructured.partition.auto import partition
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try:
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import boto3
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except ImportError:
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raise ImportError(
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"Could not import `boto3` python package. "
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"Please install it with `pip install boto3`."
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)
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s3 = boto3.client(
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"s3",
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region_name=self.region_name,
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api_version=self.api_version,
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use_ssl=self.use_ssl,
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verify=self.verify,
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endpoint_url=self.endpoint_url,
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aws_access_key_id=self.aws_access_key_id,
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aws_secret_access_key=self.aws_secret_access_key,
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aws_session_token=self.aws_session_token,
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config=self.boto_config,
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)
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with tempfile.TemporaryDirectory() as temp_dir:
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file_path = f"{temp_dir}/{self.key}"
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os.makedirs(os.path.dirname(file_path), exist_ok=True)
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s3.download_file(self.bucket, self.key, file_path)
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return partition(filename=file_path)
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def _get_metadata(self) -> dict:
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return {"source": f"s3://{self.bucket}/{self.key}"}
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