knackpy 1.0.0

A Python API client for interacting with Knack applications.

Knackpy

Knackpy v1.0 is under development. Documented methods should work, but check the status badge ^^

Installation

Knackpy requires Python v3.6+

$ pip install knackpy

Quick Start

You can use knackpy.get() to fetch "raw" data from your Knack app. Be aware that raw Knack timestamps are problematic.

# This is equivalent to exporting records in JSON format from the Knack Builder
>>> import knackpy
>>> data = knackpy.get(
...     app_id="myappid",
...     api_key="myverysecretapikey",
...     obj="object_1",
...     record_limit=None,
...     timeout=30
... )

More likely, you'll want to use the App class to correct and format your data.

>>> app = knackpy.App(app_id="myappid",  api_key="myverysecretapikey")
>>> records = app.get("object_1")
>>> records_formatted = [record.format() for record in records]

Container identifiers can be supplied as Knack keys (object_1, view_1) or names (my_exciting_object, My Exciting View)

>>> app = knackpy.App(app_id="myappid",  api_key="myverysecretapikey")
>>> records = app.get("my_exciting_object")

App.get() returns a generator function. You'll need to re-intialize it with App.get(<container:str>) each time you iterate on your records.

>>> records = app.get("my_exciting_object") 
>>> records_formatted = [record.format() for record in records]
# re-intialize the records generator
>>> records = app.get("my_exciting_object") 
# these records are raw, but the timestamps have been corrected
>>> records_raw = [record.raw for record in records]

Once you've constructed an App instance, you can resuse it to fetch records from other objects and views. This cuts down on calls to Knack's metadata API.

>>> app.get("my_exciting_object") 
>>> app.get("my_boring_object")
>>> app.get("view_1")

By default, an App instance will only fetch records for a container once. Use refresh=True to force a new fetch from the Knack API.

>>> records = app.get("my_exciting_object", refresh=True) 

You can check the available data in your App instance like so:

>>> app.data.keys()
["object_1", "object_2", "view_1"]
>>> view_1_records = [record.format() for record in app.records("view_22")]

References to all available data endpoints are stored at App.containers. This is handy if you want to check the name of a container, or its key:

>>> app.containers
[
    Container(obj='object_1', view=None, scene=None, name='my_boring_object'),
    Container(obj='object_2', view=None, scene=None, name='my_exciting_object'),
    Container(obj=None, view='view_1', scene='scene_1', name='My Exciting View'),
]

You can cut down on API calls by providing your own Knack metadata when creating an App instance:

>>> import json
# you can find your app's metadata at: https://loader.knack.com/v1/applications/<app_id:str>"
>>> with open("my_metadata.json", "r") as fin:
...     metadata = json.loads(fin.read())
>> app = knackpy.App(app_id,  metadata=metadata)

You can side-load record data into your your app as well. Note that you must assign your data to a valid key that exists in your app:

>>> with open("my_knack_data.json", "r") as fin:
...     data = { "object_3": json.loads(fin.read()) }
>> app.data = data
>> records = [record.format() for record in app.records("object_3")]

What's New in v1.0

• The Knack class is now App, and it's API is more intuitive.
• Fetch records using object/view names
• No more rows-per-page or page count limiting; just set a record_limit.
• App summary stats:

>>> app.info()
{'objects': 10, 'scenes': 4, 'records': 6786, 'size': '25.47mb'}

• Pythonic use of exceptions, warnings, and logging.
• Automatic localization (no need to set TZ info)
• "Raw" data is available with timestamp corrections
• Reduce API calls with metadata and/or record side-loading

>>> data = knackpy.get("my_app_id", api_key="myverysecretapikey", obj="object_3", record_limit=10)

• Null values are consistently returned as NoneTypes

• knackpy.record: param obj_key >> obj.
• the id key of a record create/update/detele object must be "id"