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### Description * Update all existing connector docs to use new pipeline approach ### Additional changes: * Some defaults were set for the runners to match those in the configs to make those easy to handle, i.e. the biomed runner: ```python max_retries: int = 5, max_request_time: int = 45, decay: float = 0.3, ```
111 lines
3.8 KiB
ReStructuredText
111 lines
3.8 KiB
ReStructuredText
Notion
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==========
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Connect Airtable to your preprocessing pipeline, and batch process all your documents using ``unstructured-ingest`` to store structured outputs locally on your filesystem.
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First you'll need to install the Notion dependencies as shown here.
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.. code:: shell
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pip install "unstructured[notion]"
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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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notion \
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--api-key "<Notion api key>" \
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--output-dir notion-ingest-output \
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--page-ids "<Comma delimited list of page ids to process>" \
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--database-ids "<Comma delimited list of database ids to process>" \
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--num-processes 2 \
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--verbose
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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, ProcessorConfig, ReadConfig
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from unstructured.ingest.runner import NotionRunner
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if __name__ == "__main__":
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runner = NotionRunner(
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processor_config=ProcessorConfig(
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verbose=True,
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output_dir="notion-ingest-output",
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num_processes=2,
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),
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read_config=ReadConfig(),
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partition_config=PartitionConfig(),
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)
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runner.run(
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api_key="POPULATE API KEY",
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page_ids=["LIST", "OF", "PAGE", "IDS"],
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database_ids=["LIST", "OF", "DATABASE", "IDS"],
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recursive=False,
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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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notion \
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--api-key "<Notion api key>" \
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--output-dir notion-ingest-output \
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--page-ids "<Comma delimited list of page ids to process>" \
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--database-ids "<Comma delimited list of database ids to process>" \
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--num-processes 2 \
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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, ProcessorConfig, ReadConfig
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from unstructured.ingest.runner import NotionRunner
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if __name__ == "__main__":
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runner = NotionRunner(
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processor_config=ProcessorConfig(
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verbose=True,
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output_dir="notion-ingest-output",
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num_processes=2,
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),
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read_config=ReadConfig(),
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partition_config=PartitionConfig(
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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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)
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runner.run(
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api_key="POPULATE API KEY",
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page_ids=["LIST", "OF", "PAGE", "IDS"],
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database_ids=["LIST", "OF", "DATABASE", "IDS"],
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recursive=False,
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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 notion --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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