Swimlane Client¶

See swimlane.core.client.Swimlane for full client API documentation.

Configuration¶

Minimal Setup¶

Bare-minimum values necessary to connect to a Swimlane server with default settings are the host, username, and password.

Authentication is performed immediately, client instantiation will fail immediately if invalid credentials are provided.

If no scheme is provided, HTTPS is used as the default.

from swimlane import Swimlane

swimlane = Swimlane('192.168.1.1', 'username', 'password')

Clear HTTP Connection¶

Connecting to Swimlane over plain HTTP is supported, but not recommended.

To connect using HTTP, provide it as part of the host URL.

from swimlane import Swimlane

swimlane = Swimlane('http://192.168.1.1', 'username', 'password')

Non-Standard Port¶

To connect to Swimlane over a non-standard port, include the port as part of the host URL

from swimlane import Swimlane

swimlane = Swimlane(
    'https://192.168.1.1:8443',
    'username',
    'password',
    verify_ssl=False
)

SSL Verification¶

SSL certificate verification is enabled by default for all HTTPS connections. Client instantiation will fail if Swimlane server SSL certificate cannot be verified.

To disable SSL verification, set verify_ssl=False during client instantiation. This will be carried over to all additional requests made by using the client automatically.

Warning

Because it’s common to disable SSL verification, the normal urllib3.exceptions.InsecureRequestWarning is suppressed automatically when using the Swimlane client. See urllib3 docs for more information.

from swimlane import Swimlane

swimlane = Swimlane(
    '192.168.1.1',
    'username',
    'password',
    verify_ssl=False
)

The verify_ssl parameter is ignored when connecting over HTTP.

Resource Caching¶

New in version 2.16.2.

The Swimlane client supports automatic caching for most API resources. When enabled, requests for resource data will first check the client’s cache for the requested resource, returning it without making an additional request if found.

To enable caching, set the resource_cache_size parameter when initializing the Swimlane client. The cache size applies to each resource type individually, meaning a cache size of 20 would cause the client to cache up to 20 of each of the following supported resource types at a time:

App
Record
User
Group

Once a cache is full, items are removed using “Least Frequently Used (LFU)” priority, meaning the resources that are most often accessed will be kept in the cache longer than less-frequently accessed resources.

# Enable basic logging to print requests and cache hits/misses
import logging; logging.basicConfig(level=logging.DEBUG)

from swimlane import Swimlane

# Enable caching up to 20 different instances of each supported resource type
swimlane = Swimlane(
    '192.168.1.1',
    'username',
    'password',
    resource_cache_size=20
)

# Slow code making multiple requests for the same App, Record, and referenced Records in a loop
# With caching enabled, performance is much higher as requests are sent only for resources not already in the cache
for _ in range(5):
    app = swimlane.apps.get(id='abc...123')
    print(app)

    record = app.records.get(id='def...456')
    print(record)

    for reference_record in record['Reference Field']:
        print(reference_record)

Resource caching can provide a big performance boost when requesting the same resources multiple times, especially when performing multiple searches or accessing references fields pointing to the same set of records.

Custom Direct Requests¶

Not all API endpoints may be currently supported by internal adapters, or custom arguments may be required in special cases not handled by other resources.

To perform a custom request and handle the response directly, use the swimlane.Swimlane.request() method.

from swimlane import Swimlane

swimlane = Swimlane('192.168.1.1', 'username', 'password')

response = swimlane.request(
    'post',
    'some/endpoint',
    json={...},
    params={...},
    ...
)

Underlying connection session will be reused, authentication will be handled automatically, and all default request configurations will be applied as normal if not provided explicitly.

All provided keyword arguments will be passed to the underlying requests.Session.request() call.

Note

Any 400/500 responses will raise requests.HTTPError automatically.

Request Timeouts¶

Initial client connection and all request read timeouts are set to 60 seconds by default. For more information on timeouts, refer to the Requests timeout documentation.

To override the default global timeout used by all library methods, provide the default_timeout parameter in seconds during client instantiation.

from swimlane import Swimlane

swimlane = Swimlane(
    '192.168.1.1',
    'username',
    'password',
    default_timeout=300
)

The swimlane.Swimlane.request() method can also accept an optional timeout parameter that will override the global default timeout for the single request.

from swimlane import Swimlane

swimlane = Swimlane('192.168.1.1', 'username', 'password')

# Potentially long delay before starting response with 10 minute timeout
response = swimlane.request(
    'post',
    'some/endpoint',
    ...,
    timeout=600
)

Server Version Verification¶

By default, client will check that the major versions of server and client match, and raise swimlane.exceptions.InvalidServerVersion if they do not.

This may require an additional request that may not otherwise be required to retrieve the server version, and and be disabled by setting verify_server_version=False.

Note

Connecting to a newer major server version is not supported, and should not be expected to work as normal if this verification is disabled.

Only disable this verification when sure you are using the correct client library version.

from swimlane import Swimlane

swimlane = Swimlane(
    '192.168.1.1',
    'username',
    'password',
    verify_server_version=False
)

Available Adapters¶

Examples of usage for preconfigured adapters available on client instances, abstracting retrieval and instantiation of various resource instances.

See various adapter class documentation swimlane.core.adapters for more information

Apps¶

Handles retrieval of App resources.

Retrieve an app by ID or name:

app_by_id = swimlane.apps.get(id='58f...387')

app_by_name = swimlane.apps.get(name='Target App')

Get list of all apps:

apps = swimlane.apps.list()

Users¶

Handles retrieval of User resources.

Retrieve a single user by ID or display name:

user_by_id = swimlane.users.get(id='58f...387')

user_by_display_name = swimlane.users.get(display_name='admin')

Get list of all users:

users = swimlane.users.list()

Groups¶

Handles retrieval of Group resources.

Retrieve a single group by ID or name:

group_by_id = swimlane.groups.get(id='58f...387')

group_by_display_name = swimlane.groups.get(name='Everyone')

Get list of all groups:

groups = swimlane.groups.list()

Helpers¶

Any miscellaneous methods for API endpoints not better suited for other adapters or used for high performance with bulk requests.

swimlane.helpers.add_record_references(
    app_id='123...456',
    record_id='789...0ab',
    target_record_ids=[
        '123...456',
        '789...0ab',
        'cde...f12',
        ...
    ]
)

Check the status of app.records.bulk_modify() or app.records.bulk_delete() jobs.

# Get target app
app = swimlane.apps.get(name='App')

# Bulk modify records matching filters
job_id = app.records.bulk_modify(
    ('Numeric', 'equals', 1),
    values={'Numeric': 2}
)

# Check bulk job status
status = swimlane.helpers.check_bulk_job_status(job_id)
print(status)

[{'$type': 'Core.Models.Jobs.JobInfo, Core',
  'job': 'a4EDVRY7UOHpz5_xV',
  'status': 'started',
  'task': 'BatchRecordUpdate'},
 {'$type': 'Core.Models.Jobs.JobInfo, Core',
  'job': 'a4EDVRY7UOHpz5_xV',
  'message': 'Batch update 100% completed.',
  'status': 'inProgress',
  'task': 'BatchRecordUpdate'},
 {'$type': 'Core.Models.Jobs.JobInfo, Core',
  'details': {'$type': 'Core.Models.Notifications.BulkModifyFinishedNotification, Core',
   'applicationId': 'aRDyEl8ZRd7gKrEN5',
   'bulkModificationType': 'update',
   'dateTime': '2018-01-02T16:46:46.4982709Z',
   'disabled': False,
   'errors': [],
   'id': 'aJxpdAwvKWUSaEPRz',
   'jobId': 'a4EDVRY7UOHpz5_xV',
   'notificationType': 'console',
   'output': 'Task complete',
   'status': 'Finished',
   'taskName': 'BatchRecordUpdate',
   'totalRecordsSkipped': 1,
   'totalRecordsUpdated': 0,
   'userName': 'admin',
   'warnings': [{'$type': 'Core.Models.Notifications.RecordMessage, Core',
     'message': 'Record is already locked, skipping',
     'recordId': 'aPieydMqIo6lgwxd9',
     'trackingId': 'BNAW-15'}]},
  'job': 'a4EDVRY7UOHpz5_xV',
  'status': 'completed',
  'task': 'BatchRecordUpdate'}]

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