API client for the Arkindex project
Project description
API documentation available at https://arkindex.gitlab.io/api-client/
arkindex-client provides an API client to interact with Arkindex servers.
Setup
Install the client using pip:
pip install arkindex-client
Usage
To create a client and login using an email/password combo, use the ArkindexClient.login helper method:
from arkindex import ArkindexClient
cli = ArkindexClient()
cli.login('EMAIL', 'PASSWORD')
This helper method will save the authentication token in your API client, so that it is reused in later API requests.
If you already have an API token, you can create your client like so:
from arkindex import ArkindexClient
cli = ArkindexClient('YOUR_TOKEN')
To perform a simple API request, you can use the request() method. The method takes an operation ID as a name and the operation’s parameters as keyword arguments:
Making requests
corpus = cli.request('RetrieveCorpus', id='...')
The result will be a Python dict containing the result of the API request. If the request returns an error, an apistar.exceptions.ErrorResponse will be raised.
Dealing with pagination
The Arkindex client adds another helper method for paginated endpoints that deals with pagination for you: ArkindexClient.paginate. This method returns a ResponsePaginator instance, which is a classic Python iterator that does not perform any actual requests until absolutely needed: that is, until the next page must be loaded.
for page in cli.paginate('ListCorpusPages', id=corpus['id']):
print(page['display_name'])
Warning: Using list on a ResponsePaginator may load dozens of pages at once and cause a big load on the server. You can use len to get the total item count before spamming a server.
Using another server
By default, the API client is set to point to the main Arkindex server at https://arkindex.teklia.com. If you need or want to use this API client on another server, you can use the base_url keyword argument when setting up your API client:
cli = ArkindexClient(base_url='https://somewhere')
Examples
Print all volumes
for volume in cli.paginate('ListElements'):
print(volume['name'])
Create transcriptions in bulk
payload = {
"parent": "ELEMENT_ID",
"recognizer": "ML_TOOL_SLUG",
"transcriptions": [
{
# A polygon, as a list of at least 3 [x, y] points
"polygon": [
[100, 100],
[100, 300],
[200, 300],
[200, 100],
],
# The confidence score
"score": 0.8,
# Recognized text
"text": "Blah",
# Transcription type: page, paragraph, line, word, character
"type": "word",
},
# ...
]
}
cli.request('CreateTranscriptions', body=payload)
Download full logs for each Ponos task in a workflow
workflow = cli.request('RetrieveWorkflow', id='...')
for task in workflow['tasks']:
with open(task['id'] + '.txt', 'w') as f:
f.write(cli.request('RetrieveTaskLog', id=task['id']))
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