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333558494e
### Description Add delta table downstream destination connector Closes https://github.com/Unstructured-IO/unstructured/issues/1415
117 lines
3.9 KiB
ReStructuredText
117 lines
3.9 KiB
ReStructuredText
Jira
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=====
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Connect Jira 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 Jira dependencies as shown here.
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.. code:: shell
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pip install "unstructured[jira]"
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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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jira \
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--metadata-exclude filename,file_directory,metadata.data_source.date_processed \
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--url https://unstructured-jira-connector-test.atlassian.net \
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--user-email 12345678@unstructured.io \
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--api-token ABCDE1234ABDE1234ABCDE1234 \
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--output-dir jira-ingest-output \
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--num-processes 2
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.. tab:: Python
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.. code:: python
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import subprocess
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command = [
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"unstructured-ingest",
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"jira",
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"--metadata-exclude", "filename,file_directory,metadata.data_source.date_processed",
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"--url", "https://unstructured-jira-connector-test.atlassian.net",
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"--user-email", "12345678@unstructured.io",
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"--api-token", "ABCDE1234ABDE1234ABCDE1234",
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"--output-dir", "jira-ingest-output",
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"--num-processes", "2",
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]
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# Run the command
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process = subprocess.Popen(command, stdout=subprocess.PIPE)
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output, error = process.communicate()
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# Print output
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if process.returncode == 0:
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print('Command executed successfully. Output:')
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print(output.decode())
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else:
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print('Command failed. Error:')
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print(error.decode())
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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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jira \
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--metadata-exclude filename,file_directory,metadata.data_source.date_processed \
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--url https://unstructured-jira-connector-test.atlassian.net \
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--user-email 12345678@unstructured.io \
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--api-token ABCDE1234ABDE1234ABCDE1234 \
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--output-dir jira-ingest-output \
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--num-processes 2 \
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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 subprocess
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command = [
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"unstructured-ingest",
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"jira",
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"--metadata-exclude", "filename,file_directory,metadata.data_source.date_processed",
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"--url", "https://unstructured-jira-connector-test.atlassian.net",
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"--user-email", "12345678@unstructured.io",
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"--api-token", "ABCDE1234ABDE1234ABCDE1234",
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"--output-dir", "jira-ingest-output",
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"--num-processes", "2",
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"--partition-by-api",
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"--api-key", "<UNSTRUCTURED-API-KEY>",
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]
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# Run the command
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process = subprocess.Popen(command, stdout=subprocess.PIPE)
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output, error = process.communicate()
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# Print output
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if process.returncode == 0:
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print('Command executed successfully. Output:')
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print(output.decode())
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else:
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print('Command failed. Error:')
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print(error.decode())
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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 jira --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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