Google Drive
Connect Google Drive to your preprocessing pipeline, and use the Unstructured Ingest CLI or the Unstructured Ingest Python library to batch process all your documents and store structured outputs locally on your filesystem.
The requirements are as follows.
-
A Google Cloud service account and its related
credentials.json
key file or its contents in JSON format. Learn how. -
To ensure maximum compatibility across Unstructured service offerings, you should give the service account key information to Unstructured as a single-line string that contains the contents of the downloaded service account key file (and not the service account key file itself). To print this single-line string without line breaks, suitable for copying, you can run one of the following commands from your Terminal or Command Prompt. In this command, replace
<path-to-downloaded-key-file>
with the path to thecredentials.json
key file that you downloaded by following the preceding instructions.-
For macOS or Linux:
-
For Windows:
-
-
Give the service account’s email address access to the Google Drive folder. Learn more.
-
Note the folder ID. This is a part of the URL for your Google Drive folder represented in the following URL as
{folder_id}
:https://drive.google.com/drive/folders/{folder-id}
.
The Google Drive connector dependencies:
You might also need to install additional dependencies, depending on your needs. Learn more.
The following environment variables:
-
GOOGLE_DRIVE_FOLDER_ID
- The folder ID, represented by--drive-id
(CLI) ordrive_id
(Python). -
One of the following:
GCP_SERVICE_ACCOUNT_KEY_FILEPATH
- The path to thecredentials.json
key file, represented by--service-account-key-path
(CLI) orservice_account_key_path
(Python).GCP_SERVICE_ACCOUNT_KEY_STRING
- The contents of thecredentials.json
key file as a string, represented by--service-account-key
(CLI) orservice_account_key
(Python).
Now call the Unstructured CLI or Python. The destination connector can be any of the ones supported. This example uses the local destination connector.
This example sends data to Unstructured API services for processing by default. To process data locally instead, see the instructions at the end of this page.
For the Unstructured Ingest CLI and the Unstructured Ingest Python library, you can use the --partition-by-api
option (CLI) or partition_by_api
(Python) parameter to specify where files are processed:
-
To do local file processing, omit
--partition-by-api
(CLI) orpartition_by_api
(Python), or explicitly specifypartition_by_api=False
(Python).Local file processing does not use an Unstructured API key or API URL, so you can also omit the following, if they appear:
--api-key $UNSTRUCTURED_API_KEY
(CLI) orapi_key=os.getenv("UNSTRUCTURED_API_KEY")
(Python)--partition-endpoint $UNSTRUCTURED_API_URL
(CLI) orpartition_endpoint=os.getenv("UNSTRUCTURED_API_URL")
(Python)- The environment variables
UNSTRUCTURED_API_KEY
andUNSTRUCTURED_API_URL
-
To send files to Unstructured API services for processing, specify
--partition-by-api
(CLI) orpartition_by_api=True
(Python).Unstructured API services also requires an Unstructured API key and API URL, by adding the following:
--api-key $UNSTRUCTURED_API_KEY
(CLI) orapi_key=os.getenv("UNSTRUCTURED_API_KEY")
(Python)--partition-endpoint $UNSTRUCTURED_API_URL
(CLI) orpartition_endpoint=os.getenv("UNSTRUCTURED_API_URL")
(Python)- The environment variables
UNSTRUCTURED_API_KEY
andUNSTRUCTURED_API_URL
, representing your API key and API URL, respectively.
Output a key file’s contents as a string
If you need to convert the contents of a credentials.json
file into a string, you could use a Python script such as the following.
This script takes the local path to the key file as input and outputs the key file’s contents as a string.
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