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### Description Updating the python version of the example docs to show how to run the same code that the CLI runs, but using python. Rather than copying the same command that would be run via the terminal and using the subprocess library to run it, this updates it to use the supported code exposed in the inference directory. For now only the wikipedia one has been updated to get some opinions on this before updating all other connector docs. Would close out https://github.com/Unstructured-IO/unstructured/issues/1445
96 lines
3.6 KiB
ReStructuredText
96 lines
3.6 KiB
ReStructuredText
Delta Table
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===========
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Connect delta tables to your preprocessing pipeline, and batch process all your records using ``unstructured-ingest`` to store structured outputs locally on your filesystem.
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First you'll need to install the delta table dependencies as shown here.
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.. code:: shell
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pip install "unstructured[delta-table]"
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Run Locally
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-----------
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.. tabs::
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.. tab:: Shell
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.. code:: shell
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unstructured-ingest \
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delta-table \
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--table-uri s3://utic-dev-tech-fixtures/sample-delta-lake-data/deltatable/ \
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--output-dir delta-table-example \
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--storage_options "AWS_REGION=us-east-2,AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID,AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY" \
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--verbose
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.. tab:: Python
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.. code:: python
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from unstructured.ingest.interfaces import PartitionConfig, ReadConfig
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from unstructured.ingest.runner.delta_table import delta_table
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if __name__ == "__main__":
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delta_table(
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verbose=True,
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read_config=ReadConfig(),
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partition_config=PartitionConfig(
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output_dir="delta-table-example",
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num_processes=2,
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),
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table_uri="s3://utic-dev-tech-fixtures/sample-delta-lake-data/deltatable/",
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storage_options="AWS_REGION=us-east-2,AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID,AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY"
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)
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Run via the API
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---------------
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You can also use upstream connectors with the ``unstructured`` API. For this you'll need to use the ``--partition-by-api`` flag and pass in your API key with ``--api-key``.
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.. tabs::
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.. tab:: Shell
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.. code:: shell
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unstructured-ingest \
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delta-table \
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--table-uri s3://utic-dev-tech-fixtures/sample-delta-lake-data/deltatable/ \
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--output-dir delta-table-example \
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--storage_options "AWS_REGION=us-east-2,AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID,AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY" \
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--verbose
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--partition-by-api \
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--api-key "<UNSTRUCTURED-API-KEY>"
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.. tab:: Python
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.. code:: python
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import os
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from unstructured.ingest.interfaces import PartitionConfig, ReadConfig
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from unstructured.ingest.runner.delta_table import delta_table
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if __name__ == "__main__":
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delta_table(
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verbose=True,
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read_config=ReadConfig(),
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partition_config=PartitionConfig(
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output_dir="delta-table-example",
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num_processes=2,
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partition_by_api=True,
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api_key=os.getenv("UNSTRUCTURED_API_KEY"),
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),
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table_uri="s3://utic-dev-tech-fixtures/sample-delta-lake-data/deltatable/",
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storage_options="AWS_REGION=us-east-2,AWS_ACCESS_KEY_ID=$AWS_ACCESS_KEY_ID,AWS_SECRET_ACCESS_KEY=$AWS_SECRET_ACCESS_KEY"
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)
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Additionally, you will need to pass the ``--partition-endpoint`` if you're running the API locally. You can find more information about the ``unstructured`` API `here <https://github.com/Unstructured-IO/unstructured-api>`_.
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For a full list of the options the CLI accepts check ``unstructured-ingest delta-table --help``.
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NOTE: Keep in mind that you will need to have all the appropriate extras and dependencies for the file types of the documents contained in your data storage platform if you're running this locally. You can find more information about this in the `installation guide <https://unstructured-io.github.io/unstructured/installing.html>`_.
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