Resources

See swimlane.core.resources for full API docs on all resources

App

App instances represent apps available on Swimlane server, and provide methods to retrieve and create child Records

Retrieve apps using the apps adapter available on the swimlane.Swimlane client

Retrieve Records

Records can be retrieved by full IDs. Only records in the source app are returned, IDs matching records from other apps will fail to be retrieved.

record = app.records.get(id='58f...387')

Search Records

Searching is done using the app.records adapter, and uses temporary Report instances to handle paginated search results and record retrieval on-demand.

Filters can be applied using tuples of (<field_name>, <filter_operator>, <field_value>) that will be AND’ed together on the report.

records = app.records.search(
    ('Text Field', 'equals', 'value'),
    ('Date Field', 'lessThan', pendulum.now()),
    ('Values List (Multi-Select)', 'equals', ['Option 1', 'Option 2'])
    ('Reference (Single-Select)', 'equals', target_record)
)

Keyword-searches can be performed by providing a keywords list parameter. All records with fields matching the provided keywords will be returned

records = app.records.search(
    keywords=[
        'target',
        'keywords'
    ]
)

Available operators are just strings as shown above, but are made available as constants in the search module

from swimlane.core.search import EQ, NOT_EQ, CONTAINS, EXCLUDES, GT, LT, GTE, LTE

records = app.records.search(
    ('Text Field', EQ, 'equal value'),
    ('Number Field', GTE, 0),
)

Warning

Report results are retrieved during on-demand during iteration, requesting record data from the API before each loop to improve performance and reduce memory footprint.

Using app.records.search loads all records into a list before returning, which can be an expensive operation, especially with many results.

A default limit of 50 records is placed on all reports for performance, use the limit parameter to override the default limit on a search, a limit of 0 retrieves all search results.

# retrieve all results
records = app.records.search(
    ('Text Field', 'equals', 'value'),
    ...
    limit=0
)

To operate on large search results as records are returned from API or retrieve only partial results Report should be used instead.

report = app.reports.build('report-name', limit=0)

# Apply report filters
# These work like search filters, but must be applied one-by-one and are NOT tuples like in app.records.search()
report.filter('Text Field', 'equals', 'value')
report.filter('Numeric Field', 'equals', 0)

# Each record is retrieved from the API on-demand before each iteration
for record in report:

    # Do something with each retrieved record
    record['Test Field'] = 'modified'

    if some_condition:
        # No additional records will be retrieved from report after breaking out of loop
        break

# Report results are cached after first iteration, will not make additional requests or retrieve any skipped results
# Any modifications to records from report are maintained
for record in report:
    assert record['Test Field'] == 'modified'

Create New Record

Record creation is done through the app.records adapter, and adheres to all field validation as documented below

The newly created record is returned from the create create call after first being persisted on the server

new_record = app.records.create(**{
    'Text Field': 'Field Value',
    'Numeric Field': 50,
    ...
})

Batch Record Creation

Creating multiple records at once can also done withe the app.records adapter using only a single request.

Any records not passing validation will cause the entire operation to fail.

records = app.records.create_batch(
    {'Text Field': 'Value 1', 'Numeric Field': 10, ...},
    {'Text Field': 'Value 2', 'Numeric Field': 20, ...},
    ...
)

Record

Record instances represent individual records inside a corresponding app on Swimlane server.

They provide the ability to interact with field data similar to how it’s done in the Swimlane UI, and handle translating and validating field types using various Field classes under the hood.

Accessing Field Values

Fields are accessed as keys by their readable field names as seen in the UI. Field names are case and whitespace sensitive, and are unique within an individual app.

Assuming a record from an app with a text field called “Text” with a value of “Some Example Text”, accessing the field value is done as follows:

assert record['Text'] == 'Some Example Text'

Any fields without a value default to None.

Setting Field Values

Setting field values works the same as accessing values.

record['Text'] = 'New Text'

assert record['Text'] == 'New Text'

Clearing Field Values

Clearing field values can be done in one of two way. The following examples are identical, and simply clear the field value, setting it back to None internally.

# Delete the field
del record['Text']

# Or set directly to None
record['Text'] = None

Field Validation

Most field types enforce a certain type during the set operation, and will raise a swimlane.exceptions.ValidationError on any kind of failure, whether it’s an invalid value, incorrect type, etc. and will contain information about why it was unable to validate the new value.

try:
    record['Numeric'] = 'String'
except ValidationError as error:
    print(error)

See individual field examples for more specifics on each field type and their usage.

Saving Changes

All changes to a record are only done locally until explicitly persisted to the server with save().

record['Text'] = 'Some New Text'
record.save()

Delete Record

Records can be deleted from Swimlane using delete(). Record will be removed from server and marked as a new record, but will retain any field data.

assert record.tracking_id == 'ABC-123'
text_field_data = record['Text']

# Deletes existing record from server
record.delete()

assert record.id is None
assert record['Text'] == text_field_data

...

# Create a new record from the deleted record's field data
record.save()

assert record.tracking_id == 'ABC-124'

Field Iteration

Records can be iterated over like dict.items(), yielding (field_name, field_value) tuples

for field_name, field_value in record:
    assert record[field_name] == field_value

Unknown Fields

Attempting to access a field not available on a record’s parent app will raise swimlane.exceptions.UnknownField with the invalid field name, as well as potential similar field names in case of a possible typo.

try:
    record['Rext'] = 'New Text'
except UnknownField as error:
    print(error)

UserGroup

Handling Users, Groups, and UserGroups

Users and Groups both extend from the base UserGroup class. Most values returned from the server are of the base UserGroup type, but can be replaced or set by the more specific classes.

# User / Group fields return UserGroup instances when accessed
assert type(record['Created By']) is UserGroup

# But can be set to the more specific User / Group types directly
record['User'] = swimlane.user
record['Group'] = swimlane.groups.get(name='Everyone')

Comparisons

Users and Groups and be directly compared to the base UserGroup class, and will be considered equal if the two objects represent the same entity

assert record['Created By'] == swimlane.user

assert record['Group'] == swimlane.groups.get(name='Everyone')