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 tracking ID or record ID. Only records in the source app are returned, IDs matching records from other apps will fail to be retrieved.
app = swimlane.apps.get(name='Target App')
# Get by Tracking ID
record_from_tracking = app.records.get(tracking_id='APP-1')
# Get by Record ID
record_from_id = app.records.get(id='58f...387')
assert record_from_tracking == record_from_id
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
)
Reports¶
To operate on large search results as records are returned from API or retrieve only partial results
Report
should be used instead.
# Create initial report, with optional limit and keywords filter
report = app.reports.build('report-name', limit=0, keywords=['target', 'keywords'])
# 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.
Any values in Selection Fields that are configured to be selected by default will be added to your new record. You can
override the default selection by specifying the value wanted on creation.
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,
...
})
Bulk Record Create¶
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.bulk_create(
{'Text Field': 'Value 1', 'Numeric Field': 10, ...},
{'Text Field': 'Value 2', 'Numeric Field': 20, ...},
...
)
Note
Changed in version 2.17.0: Method was renamed from create_batch() -> bulk_create()
create_batch() will be removed in next major release.
Bulk Record Delete¶
Delete multiple records at once.
# Delete by record
record1 = app.records.get(tracking_id='APP-1')
record2 = app.records.get(tracking_id='APP-2')
record3 = app.records.get(tracking_id='APP-3')
app.records.bulk_delete(record1, record2, record3)
Delete multiple records at once by filters using filter format from search.
# Delete by filter
records = app.records.bulk_delete(
('Field_1', 'equals', value1),
('Field_2', 'equals', value2)
)
Bulk Record Modify¶
Bulk modify fields records by list of Record instances.
Invalid field values will cause entire operation to fail.
# Bulk modify multiple record instances
record1 = app.records.get(tracking_id='APP-1')
record2 = app.records.get(tracking_id='APP-2')
record3 = app.records.get(tracking_id='APP-3')
...
app.records.bulk_modify(
record1,
record2,
record3,
...
values={
'Field Name': 'New Value',
...
}
)
Bulk modify records by filter tuples without record instances.
# Modify by filter(s)
app.records.bulk_modify(
# Query filters
("Text Field", "equals", "Value"),
("Number Field", "equals", 2),
# New values for records
values={
"Field Name": "New Value",
"Numeric Field": 10,
...
}
)
Use bulk modify to append, remove, or clear list field values
from swimlane.core.bulk import Clear, Append, Remove
app.records.bulk_modify(
('Text List', 'equals', ['some', 'value']),
('Numeric List', 'equals', [1, 2, 3, 4]),
values={
'Text List': Remove('value'),
'Field Name': Clear(),
'Numeric List': Append(5)
}
)
Retrieve App Revisions¶
Retrieve historical revisions of the application.
# get all revisions
app_revisions = app.revisions.get_all()
# get by revision number
app_revision = app.revisions.get(2)
# get the historical version of the app
historical_app_version = app_revision.version
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:
# The "Text" field has a value of 'Some Example Text'
assert record['Text'] == 'Some Example Text'
# Any fields without a value default to `None`.
assert record['Empty Field'] == None
Field can also be accessed by their optional field keys
# The field key points to the same field as the field name
assert record['Field'] == record['field-key']
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
Lock Record¶
Record locks can be modified using lock()
and
unlock()
methods.
The record is locked to the user making the API call.
# Lock the record
record.lock()
# Unlock the record
record.unlock()
Pretty Iteration + JSON Serialization¶
New in version 4.1.0.
Some field types are not cleanly printed or cannot be easily serialized to JSON. A record can be converted to a
prettier JSON-safe dict using the for_json()
method.
import json
# Quick serialize all fields on record to readable JSON-compatible format dict
print(json.dumps(
record.for_json(),
indent=4
))
# Specify subset of fields to include in output dict
print(json.dumps(
record.for_json('Target Field 1', 'Target Field 2', ...),
indent=4
))
# Get a single field's JSON-compatible value
print(json.dumps(
record.get_field('Target Field').for_json()
))
# Attachments, Comments, UserGroups, and any Cursors can all be converted to JSON-compatible values directly
print(json.dumps(
record['User Group Field'].for_json()
))
print(json.dumps(
record['Comments Field'][2].for_json()
))
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)
Restrict Record¶
Record restrictions can be modified using add_restriction()
and
remove_restriction()
methods.
# Add user(s) to set of users allowed to modify record
record.add_restriction(swimlane.user, other_user)
# Remove one or more users from restriction set
record.remove_restriction(swimlane.user)
# Clear the entire restricted user set
record.remove_restriction()
Retrieve Record Revisions¶
Retrieve historical revisions of the record.
# get all revisions
record_revisions = record.revisions.get_all()
# get by revision number
record_revision = record.revisions.get(2)
# get the historical version of the app
# automatically retrieves the corresponding app revision to create the Record object
historical_record_version = record_revision.version
UserGroup¶
Handling Users, Groups, and UserGroups¶
The User
and Group
classes 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')
Resolve UserGroups¶
The base UserGroup
instances can be easily resolved into the more specific
User
or Group
instances when
necessary using the resolve()
method. This method is not called
automatically to avoid additional requests where the base UserGroup is sufficient.
# Resolve to actual User instance
assert type(record['User']) is UserGroup
user = record['User'].resolve()
assert type(user) is User
# Resolve to actual Group instance
assert type(record['Group']) is UserGroup
group = record['Group'].resolve()
assert type(group) is Group
# Calling .resolve() on already resolved instances returns the same instance immediately
assert user is user.resolve()
assert group is group.resolve()
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')
Users in Groups¶
To iterate over individual users in a group, use group.users property
group = swimlane.groups.get(name='Everyone')
for user in group.users:
assert isinstance(user, User)
Revisions¶
Revisions represent historical versions of another resource. Currently, App and Record revisions are supported. For more details on how to retrieve revisions, see the “Retrieve App Revisions” and “Retrieve Record Revisions” sections above.
Get Information About the Revision¶
revision = app.revisions.get(1)
revision.modified_date # The date this revision was created.
revision.revision_number # The revision number of this revision.
revision.status # Indicates whether this revision is the current revision or a historical revision.
revision.user # The user that saved this revision.
app = revision.version # returns an App or Record object representing the revision depending on revision type.
# additional functions
text = str(revision) # returns name of the revision and the revision number as a string
json = revision.for_json # returns a dict containing modifiedDate, revisionNumber, and user keys/attribute values
Record Revisions¶
Record revisions additionally have attributes containing information about their app.
revision = record.revisions.get(1)
revision.app_revision_number # The app revision number this record revision was created using.
app = revision.app_version # Returns an App corresponding to the app_revision_number of this record revision.