Unofficial QuickBase JSON API wrapper for Python.
Created by Synctivate Developers! Custom software solutions from Fredericksburg, Virginia!
https://github.com/robswc/quickbase-json-api-client/wiki
To install, run:
pip install quickbase-json-api-client
Use the following code to create and initialize a client object.
from quickbase_json import QBClient
client = QBClient(realm="yourRealm", auth="userToken")
Where yourRealm
is the name (subdomain) of your Quickbase Realm and userToken
is the user token used to authenticate
with the realm. You can also include an optional agent: str
argument, which will change the User-Agent (used in headers) from the default "QJAC" to whatever string is passed. This is heavily recommended, as it makes figuring out the origin of API calls easier.
Querying for records is one of the most useful features of the Quickbase JSON API. Querying records with QJAC can be done using the following code
response = client.query_records(table='tableId', select=[3, 6, 12], where='queryString')
data = response.data()
Where tableId
is the ID of the table you wish to query from, fids
is a list of field IDs you wish to receive and queryString
is a quickbase query string.
from quickbase_json.helpers import Where
# have static fids for table/records
NEEDED_FIDS = [3, 6, 12]
# build query str where 3 is either 130, 131 or 132
# https://help.quickbase.com/api-guide/componentsquery.html
q_str = Where(3, 'EX', [130, 131, 132]).build(join='OR')
response = client.query_records(table='tableId', select=NEEDED_FIDS, where=q_str)
In this example, we use the Where()
helper. This can make building complex QuickBase queries easier.
The Where()
helper documentation can be found here.
A QBResponse
object is returned when querying records with QJAC. A QBResponse
has several methods that make
handling returned data easier. Here are a few of the most useful ones.
- .data()
r = qbc.query_records(...).data()
Returns the data from QuickBase. Equivalent to calling .get('data')
- .denest()
r = qbc.query_records(...).denest()
Denests the data. I.e. changes {'fid': {'value': 'actualValue'}}
to {'fid': 'actualValue'}
- orient(orient: str, key: int)
r = qbc.query_records(...).orient('records', key=3)
Orients the data. Currently, the only option is 'records'. This will orient the returned data into a "record like structure", i.e. changes
{'fid': 'actualValue', 'fid': 'actualValue'}
to {'key': {etc: etc}}
- convert()
r = qbc.query_records(...).convert('datetime')
Converts the data, based on fields and provided arguments. For example, calling convert('datetime')
will convert all data with fields
of the 'date time' type to python datetime objects. Other conversions are 'currency' and 'int'.
- round_ints()
r = qbc.query_records(...).round_ints()
Rounds all float integers into whole number ints. i.e. converts 55.0
to 55
.
Information on additional features that go beyond the scope of an introduction README.md, can be found on the GitHub Wiki!
This include things like...
- Easy file uploading/downloading
- Inserting, Updating and Deleting records
- Creating tables
- Authenticating w/Quickbase
- etc.
If you come across any issues or want to file a bug report, please do so here.
Thanks!