feat: implement S3 bucket uploader component and unit test (#6146)
* S3 Bucket Uploader, unit test and module init * [autofix.ci] apply automated fixes * Updated UT as per feedback * Added version control fixture * [autofix.ci] apply automated fixes * Style changes requested by reviewer * Really, 1 extra character? * Ruf styling --------- Co-authored-by: autofix-ci[bot] <114827586+autofix-ci[bot]@users.noreply.github.com>
This commit is contained in:
Pedro Pacheco
GitHub
parent
e5f654a752
commit
92d4fd0d52
5 changed files with 395 additions and 0 deletions
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@ -113,6 +113,8 @@ dependencies = [
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"pydantic-ai>=0.0.19",
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"smolagents>=1.8.0",
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"apify-client>=1.8.1",
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"pylint>=3.3.4",
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"ruff>=0.9.7",
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]
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[dependency-groups]
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@ -3,6 +3,7 @@ from .csv_to_data import CSVToDataComponent
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from .directory import DirectoryComponent
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from .file import FileComponent
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from .json_to_data import JSONToDataComponent
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from .s3_bucket_uploader import S3BucketUploaderComponent
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from .sql_executor import SQLExecutorComponent
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from .url import URLComponent
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from .webhook import WebhookComponent
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@ -13,6 +14,7 @@ __all__ = [
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"DirectoryComponent",
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"FileComponent",
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"JSONToDataComponent",
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"S3BucketUploaderComponent",
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"SQLExecutorComponent",
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"URLComponent",
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"WebhookComponent",
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207
src/backend/base/langflow/components/data/s3_bucket_uploader.py
Normal file
207
src/backend/base/langflow/components/data/s3_bucket_uploader.py
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@ -0,0 +1,207 @@
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from pathlib import Path
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from typing import Any
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import boto3
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from langflow.custom import Component
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from langflow.io import (
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BoolInput,
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DropdownInput,
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HandleInput,
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Output,
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SecretStrInput,
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StrInput,
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)
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class S3BucketUploaderComponent(Component):
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"""S3BucketUploaderComponent is a component responsible for uploading files to an S3 bucket.
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It provides two strategies for file upload: "By Data" and "By File Name". The component
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requires AWS credentials and bucket details as inputs and processes files accordingly.
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Attributes:
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display_name (str): The display name of the component.
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description (str): A brief description of the components functionality.
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icon (str): The icon representing the component.
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name (str): The internal name of the component.
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inputs (list): A list of input configurations required by the component.
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outputs (list): A list of output configurations provided by the component.
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Methods:
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process_files() -> None:
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Processes files based on the selected strategy. Calls the appropriate method
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based on the strategy attribute.
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process_files_by_data() -> None:
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Processes and uploads files to an S3 bucket based on the data inputs. Iterates
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over the data inputs, logs the file path and text content, and uploads each file
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to the specified S3 bucket if both file path and text content are available.
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process_files_by_name() -> None:
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Processes and uploads files to an S3 bucket based on their names. Iterates through
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the list of data inputs, retrieves the file path from each data item, and uploads
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the file to the specified S3 bucket if the file path is available. Logs the file
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path being uploaded.
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_s3_client() -> Any:
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Creates and returns an S3 client using the provided AWS access key ID and secret
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access key.
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Please note that this component requires the boto3 library to be installed. It is designed
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to work with File and Director components as inputs
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"""
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display_name = "S3 Bucket Uploader"
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description = "Uploads files to S3 bucket."
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icon = "Globe"
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name = "s3bucketuploader"
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inputs = [
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SecretStrInput(
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name="aws_access_key_id",
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display_name="AWS Access Key ID",
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required=True,
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password=True,
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info="AWS Access key ID.",
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),
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SecretStrInput(
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name="aws_secret_access_key",
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display_name="AWS Secret Key",
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required=True,
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password=True,
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info="AWS Secret Key.",
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),
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StrInput(
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name="bucket_name",
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display_name="Bucket Name",
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info="Enter the name of the bucket.",
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advanced=False,
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),
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DropdownInput(
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name="strategy",
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display_name="Strategy for file upload",
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options=["Store Data", "Store Original File"],
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value="By Data",
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info=(
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"Choose the strategy to upload the file. By Data means that the source file "
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"is parsed and stored as LangFlow data. By File Name means that the source "
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"file is uploaded as is."
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),
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),
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HandleInput(
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name="data_inputs",
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display_name="Data Inputs",
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info="The data to split.",
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input_types=["Data"],
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is_list=True,
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required=True,
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),
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StrInput(
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name="s3_prefix",
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display_name="S3 Prefix",
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info="Prefix for all files.",
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advanced=True,
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),
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BoolInput(
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name="strip_path",
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display_name="Strip Path",
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info="Removes path from file path.",
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required=True,
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advanced=True,
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),
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]
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outputs = [
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Output(display_name="Writes to AWS Bucket", name="data", method="process_files"),
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]
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def process_files(self) -> None:
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"""Process files based on the selected strategy.
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This method uses a strategy pattern to process files. The strategy is determined
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by the `self.strategy` attribute, which can be either "By Data" or "By File Name".
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Depending on the strategy, the corresponding method (`process_files_by_data` or
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`process_files_by_name`) is called. If an invalid strategy is provided, an error
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is logged.
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Returns:
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None
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"""
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strategy_methods = {
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"Store Data": self.process_files_by_data,
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"Store Original File": self.process_files_by_name,
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}
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strategy_methods.get(self.strategy, lambda: self.log("Invalid strategy"))()
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def process_files_by_data(self) -> None:
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"""Processes and uploads files to an S3 bucket based on the data inputs.
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This method iterates over the data inputs, logs the file path and text content,
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and uploads each file to the specified S3 bucket if both file path and text content
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are available.
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Args:
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None
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Returns:
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None
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"""
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for data_item in self.data_inputs:
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file_path = data_item.data.get("file_path")
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text_content = data_item.data.get("text")
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if file_path and text_content:
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self._s3_client().put_object(
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Bucket=self.bucket_name, Key=self._normalize_path(file_path), Body=text_content
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)
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def process_files_by_name(self) -> None:
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"""Processes and uploads files to an S3 bucket based on their names.
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Iterates through the list of data inputs, retrieves the file path from each data item,
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and uploads the file to the specified S3 bucket if the file path is available.
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Logs the file path being uploaded.
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Returns:
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None
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"""
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for data_item in self.data_inputs:
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file_path = data_item.data.get("file_path")
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self.log(f"Uploading file: {file_path}")
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if file_path:
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self._s3_client().upload_file(file_path, Bucket=self.bucket_name, Key=self._normalize_path(file_path))
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def _s3_client(self) -> Any:
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"""Creates and returns an S3 client using the provided AWS access key ID and secret access key.
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Returns:
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Any: A boto3 S3 client instance.
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"""
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return boto3.client(
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"s3",
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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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)
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def _normalize_path(self, file_path) -> str:
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"""Process the file path based on the s3_prefix and path_as_prefix.
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Args:
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file_path (str): The original file path.
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s3_prefix (str): The S3 prefix to use.
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path_as_prefix (bool): Whether to use the file path as the S3 prefix.
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Returns:
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str: The processed file path.
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"""
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prefix = self.s3_prefix
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strip_path = self.strip_path
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processed_path: str = file_path
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if strip_path:
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# Filename only
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processed_path = Path(file_path).name
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# Concatenate the s3_prefix if it exists
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if prefix:
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processed_path = str(Path(prefix) / processed_path)
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return processed_path
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@ -0,0 +1,136 @@
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import os
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import tempfile
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import uuid
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from pathlib import Path
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import boto3
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import pytest
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from langflow.components.data.s3_bucket_uploader import S3BucketUploaderComponent
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from langflow.schema.data import Data
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from tests.base import ComponentTestBaseWithoutClient
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@pytest.mark.skipif(
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not os.environ.get("AWS_ACCESS_KEY_ID") or not os.environ.get("AWS_SECRET_ACCESS_KEY"),
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reason="Environment variable AWS_ACCESS_KEY_ID or AWS_SECRET_ACCESS_KEY is not defined.",
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)
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class TestS3UploaderComponent(ComponentTestBaseWithoutClient):
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"""Unit tests for the S3BucketUploaderComponent.
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This test class inherits from ComponentTestBaseWithoutClient and includes several pytest fixtures and a test method
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to verify the functionality of the S3BucketUploaderComponent.
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Fixtures:
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component_class: Returns the component class to be tested.
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file_names_mapping: Returns an empty list since this component doesn't have version-specific files.
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default_kwargs: Returns an empty dictionary since this component doesn't have any default arguments.
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temp_files: Creates three temporary files with predefined content and yields them as Data objects.
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Cleans up the files after the test.
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s3_bucket: Creates a unique S3 bucket for testing, yields the bucket name, and deletes the bucket
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and its contents after the test.
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Test Methods:
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test_upload: Tests the upload functionality of the S3BucketUploaderComponent by uploading temporary files
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to the S3 bucket and verifying their content.
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"""
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@pytest.fixture
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def component_class(self):
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"""Return the component class to test."""
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return S3BucketUploaderComponent
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@pytest.fixture
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def file_names_mapping(self):
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"""Return an empty list since this component doesn't have version-specific files."""
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@pytest.fixture
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def default_kwargs(self):
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"""Return an empty dictionary since this component doesn't have any default arguments."""
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return {}
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@pytest.fixture
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def temp_files(self):
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"""Setup: Create three temporary files."""
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temp_files = []
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contents = [
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b"Lorem ipsum dolor sit amet, consectetur adipiscing elit.",
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b"Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.",
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b"Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris "
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b"nisi ut aliquip ex ea commodo consequat.",
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]
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for content in contents:
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with tempfile.NamedTemporaryFile(suffix=".txt", delete=False) as temp_file:
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temp_file.write(content)
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temp_file.flush()
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temp_file.close()
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temp_files.append(temp_file.name)
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data = [
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Data(data={"file_path": file_path, "text": Path(file_path).read_text(encoding="utf-8")})
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for file_path in temp_files
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]
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yield data
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# Teardown: Explicitly delete the files
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for temp_file in temp_files:
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Path(temp_file).unlink()
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@pytest.fixture
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def s3_bucket(self) -> str:
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"""Generate a unique bucket name (AWS requires globally unique names)."""
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bucket_name = f"graphrag-test-bucket-{uuid.uuid4().hex[:8]}"
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# Initialize S3 client using environment variables for credentials
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s3 = boto3.client("s3")
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try:
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# Create an S3 bucket in your default region
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s3.create_bucket(Bucket=bucket_name)
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yield bucket_name
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finally:
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# Teardown: Delete the bucket and its contents
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try:
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# List and delete all objects in the bucket
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objects = s3.list_objects_v2(Bucket=bucket_name).get("Contents", [])
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for obj in objects:
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s3.delete_object(Bucket=bucket_name, Key=obj["Key"])
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# Delete the bucket
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s3.delete_bucket(Bucket=bucket_name)
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except boto3.exceptions.Boto3Error as e:
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pytest.fail(f"Error during teardown: {e}")
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def test_upload(self, temp_files, s3_bucket):
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"""Test uploading files to an S3 bucket."""
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component = S3BucketUploaderComponent()
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# Set AWS credentials from environment variables
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aws_access_key_id = os.getenv("AWS_ACCESS_KEY_ID")
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aws_secret_access_key = os.getenv("AWS_SECRET_ACCESS_KEY")
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component.set_attributes(
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{
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"aws_access_key_id": aws_access_key_id,
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"aws_secret_access_key": aws_secret_access_key,
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"bucket_name": s3_bucket,
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"strategy": "Store Original File",
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"data_inputs": temp_files,
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"s3_prefix": "test",
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"strip_path": True,
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}
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)
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component.process_files()
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# Check if the files were uploaded. Assumes key and secret are set via environment variables
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s3 = boto3.client("s3")
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for temp_file in temp_files:
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key = f"test/{Path(temp_file.data['file_path']).name}"
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response = s3.get_object(Bucket=s3_bucket, Key=key)
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with Path(temp_file.data["file_path"]).open("rb") as f:
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assert response["Body"].read() == f.read()
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48
uv.lock
generated
48
uv.lock
generated
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@ -428,6 +428,18 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/db/48/684c270724bc3f8d12714556d201aa4610623da919505a6a09e56f50ef6a/astrapy-1.5.2-py3-none-any.whl", hash = "sha256:598b86de723727a11ec43e1c7fe682ecb42d63d37a94165fb08de41c20103f56", size = 177128 },
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]
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[[package]]
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name = "astroid"
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version = "3.3.8"
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source = { registry = "https://pypi.org/simple" }
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dependencies = [
|
||||
{ name = "typing-extensions", marker = "python_full_version < '3.11'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/80/c5/5c83c48bbf547f3dd8b587529db7cf5a265a3368b33e85e76af8ff6061d3/astroid-3.3.8.tar.gz", hash = "sha256:a88c7994f914a4ea8572fac479459f4955eeccc877be3f2d959a33273b0cf40b", size = 398196 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/07/28/0bc8a17d6cd4cc3c79ae41b7105a2b9a327c110e5ddd37a8a27b29a5c8a2/astroid-3.3.8-py3-none-any.whl", hash = "sha256:187ccc0c248bfbba564826c26f070494f7bc964fd286b6d9fff4420e55de828c", size = 275153 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "asttokens"
|
||||
version = "2.4.1"
|
||||
|
|
@ -4312,6 +4324,7 @@ dependencies = [
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|||
{ name = "pyarrow" },
|
||||
{ name = "pydantic-ai" },
|
||||
{ name = "pydantic-settings" },
|
||||
{ name = "pylint" },
|
||||
{ name = "pymongo" },
|
||||
{ name = "pytube" },
|
||||
{ name = "pywin32", marker = "sys_platform == 'win32'" },
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|
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@ -4319,6 +4332,7 @@ dependencies = [
|
|||
{ name = "qianfan" },
|
||||
{ name = "ragstack-ai-knowledge-store" },
|
||||
{ name = "redis" },
|
||||
{ name = "ruff" },
|
||||
{ name = "scrapegraph-py" },
|
||||
{ name = "smolagents" },
|
||||
{ name = "spider-client" },
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|
|
@ -4491,6 +4505,7 @@ requires-dist = [
|
|||
{ name = "pyarrow", specifier = "==19.0.0" },
|
||||
{ name = "pydantic-ai", specifier = ">=0.0.19" },
|
||||
{ name = "pydantic-settings", specifier = "==2.4.0" },
|
||||
{ name = "pylint", specifier = ">=3.3.4" },
|
||||
{ name = "pymilvus", extras = ["bulk-writer", "model"], marker = "extra == 'nv-ingest'", specifier = "==2.5.0" },
|
||||
{ name = "pymongo", specifier = "==4.10.1" },
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{ name = "python-pptx", marker = "extra == 'nv-ingest'", specifier = "==0.6.23" },
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|
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@ -4500,6 +4515,7 @@ requires-dist = [
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{ name = "qianfan", specifier = "==0.3.5" },
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||||
{ name = "ragstack-ai-knowledge-store", specifier = "==0.2.1" },
|
||||
{ name = "redis", specifier = "==5.2.1" },
|
||||
{ name = "ruff", specifier = ">=0.9.7" },
|
||||
{ name = "scrapegraph-py", specifier = ">=1.12.0" },
|
||||
{ name = "sentence-transformers", marker = "extra == 'local'", specifier = ">=2.3.1" },
|
||||
{ name = "smolagents", specifier = ">=1.8.0" },
|
||||
|
|
@ -5309,6 +5325,15 @@ wheels = [
|
|||
{ url = "https://files.pythonhosted.org/packages/8f/8e/9ad090d3553c280a8060fbf6e24dc1c0c29704ee7d1c372f0c174aa59285/matplotlib_inline-0.1.7-py3-none-any.whl", hash = "sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca", size = 9899 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "mccabe"
|
||||
version = "0.7.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/e7/ff/0ffefdcac38932a54d2b5eed4e0ba8a408f215002cd178ad1df0f2806ff8/mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325", size = 9658 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/27/1a/1f68f9ba0c207934b35b86a8ca3aad8395a3d6dd7921c0686e23853ff5a9/mccabe-0.7.0-py2.py3-none-any.whl", hash = "sha256:6c2d30ab6be0e4a46919781807b4f0d834ebdd6c6e3dca0bda5a15f863427b6e", size = 7350 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "mcp"
|
||||
version = "1.1.3"
|
||||
|
|
@ -5970,6 +5995,7 @@ name = "nvidia-nccl-cu12"
|
|||
version = "2.20.5"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
wheels = [
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||||
{ url = "https://files.pythonhosted.org/packages/c1/bb/d09dda47c881f9ff504afd6f9ca4f502ded6d8fc2f572cacc5e39da91c28/nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01", size = 176238458 },
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{ url = "https://files.pythonhosted.org/packages/4b/2a/0a131f572aa09f741c30ccd45a8e56316e8be8dfc7bc19bf0ab7cfef7b19/nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56", size = 176249402 },
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]
|
||||
|
||||
|
|
@ -5979,6 +6005,7 @@ version = "12.8.61"
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source = { registry = "https://pypi.org/simple" }
|
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wheels = [
|
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{ url = "https://files.pythonhosted.org/packages/03/f8/9d85593582bd99b8d7c65634d2304780aefade049b2b94d96e44084be90b/nvidia_nvjitlink_cu12-12.8.61-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:45fd79f2ae20bd67e8bc411055939049873bfd8fac70ff13bd4865e0b9bdab17", size = 39243473 },
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{ url = "https://files.pythonhosted.org/packages/af/53/698f3758f48c5fcb1112721e40cc6714da3980d3c7e93bae5b29dafa9857/nvidia_nvjitlink_cu12-12.8.61-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:9b80ecab31085dda3ce3b41d043be0ec739216c3fc633b8abe212d5a30026df0", size = 38374634 },
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]
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|
||||
[[package]]
|
||||
|
|
@ -7107,6 +7134,8 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/39/1b/d0b013bf7d1af7cf0a6a4fce13f5fe5813ab225313755367b36e714a63f8/pycryptodome-3.21.0-cp36-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:18caa8cfbc676eaaf28613637a89980ad2fd96e00c564135bf90bc3f0b34dd93", size = 2254397 },
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{ url = "https://files.pythonhosted.org/packages/14/71/4cbd3870d3e926c34706f705d6793159ac49d9a213e3ababcdade5864663/pycryptodome-3.21.0-cp36-abi3-win32.whl", hash = "sha256:280b67d20e33bb63171d55b1067f61fbd932e0b1ad976b3a184303a3dad22764", size = 1775641 },
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{ url = "https://files.pythonhosted.org/packages/43/1d/81d59d228381576b92ecede5cd7239762c14001a828bdba30d64896e9778/pycryptodome-3.21.0-cp36-abi3-win_amd64.whl", hash = "sha256:b7aa25fc0baa5b1d95b7633af4f5f1838467f1815442b22487426f94e0d66c53", size = 1812863 },
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{ url = "https://files.pythonhosted.org/packages/25/b3/09ff7072e6d96c9939c24cf51d3c389d7c345bf675420355c22402f71b68/pycryptodome-3.21.0-pp27-pypy_73-manylinux2010_x86_64.whl", hash = "sha256:2cb635b67011bc147c257e61ce864879ffe6d03342dc74b6045059dfbdedafca", size = 1691593 },
|
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{ url = "https://files.pythonhosted.org/packages/a8/91/38e43628148f68ba9b68dedbc323cf409e537fd11264031961fd7c744034/pycryptodome-3.21.0-pp27-pypy_73-win32.whl", hash = "sha256:4c26a2f0dc15f81ea3afa3b0c87b87e501f235d332b7f27e2225ecb80c0b1cdd", size = 1765997 },
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{ url = "https://files.pythonhosted.org/packages/08/16/ae464d4ac338c1dd41f89c41f9488e54f7d2a3acf93bb920bb193b99f8e3/pycryptodome-3.21.0-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:d5ebe0763c982f069d3877832254f64974139f4f9655058452603ff559c482e8", size = 1615855 },
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{ url = "https://files.pythonhosted.org/packages/1e/8c/b0cee957eee1950ce7655006b26a8894cee1dc4b8747ae913684352786eb/pycryptodome-3.21.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7ee86cbde706be13f2dec5a42b52b1c1d1cbb90c8e405c68d0755134735c8dc6", size = 1650018 },
|
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{ url = "https://files.pythonhosted.org/packages/93/4d/d7138068089b99f6b0368622e60f97a577c936d75f533552a82613060c58/pycryptodome-3.21.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0fd54003ec3ce4e0f16c484a10bc5d8b9bd77fa662a12b85779a2d2d85d67ee0", size = 1687977 },
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|
|
@ -7310,6 +7339,25 @@ wheels = [
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|||
{ url = "https://files.pythonhosted.org/packages/61/ad/689f02752eeec26aed679477e80e632ef1b682313be70793d798c1d5fc8f/PyJWT-2.10.1-py3-none-any.whl", hash = "sha256:dcdd193e30abefd5debf142f9adfcdd2b58004e644f25406ffaebd50bd98dacb", size = 22997 },
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|
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|
||||
[[package]]
|
||||
name = "pylint"
|
||||
version = "3.3.4"
|
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source = { registry = "https://pypi.org/simple" }
|
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dependencies = [
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{ name = "astroid" },
|
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{ name = "colorama", marker = "sys_platform == 'win32'" },
|
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{ name = "dill" },
|
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{ name = "isort" },
|
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{ name = "mccabe" },
|
||||
{ name = "platformdirs" },
|
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{ name = "tomli", marker = "python_full_version < '3.11'" },
|
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{ name = "tomlkit" },
|
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]
|
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sdist = { url = "https://files.pythonhosted.org/packages/ab/b9/50be49afc91469f832c4bf12318ab4abe56ee9aa3700a89aad5359ad195f/pylint-3.3.4.tar.gz", hash = "sha256:74ae7a38b177e69a9b525d0794bd8183820bfa7eb68cc1bee6e8ed22a42be4ce", size = 1518905 }
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wheels = [
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{ url = "https://files.pythonhosted.org/packages/0d/8b/eef15df5f4e7aa393de31feb96ca9a3d6639669bd59d589d0685d5ef4e62/pylint-3.3.4-py3-none-any.whl", hash = "sha256:289e6a1eb27b453b08436478391a48cd53bb0efb824873f949e709350f3de018", size = 522280 },
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]
|
||||
|
||||
[[package]]
|
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name = "pymilvus"
|
||||
version = "2.5.0"
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue