bubbleio 0.6.0

No project description provided

Bubbleio Python API

Project overview

This python package is a toolset to query Bubble.io API. This package uses Pandas DataFrame to returns results.

Pandas.DataFrame lets you query the data, process it, save it (ant later on uptate changes directly to Bubble app with this package).

⚠ Warning: This project is quite new (october 2021), and breaking changes may appears until version 1.0

Installation

python -m pip install -U pip
python -m pip install bubbleio

Package documentation

https://vlebert.github.io/bubbleio/

Bubble.io API documentation

https://manual.bubble.io/core-resources/api/data-api

Roadmap

• GET function : 80%
  • TODO: Sorting options
• TODO: PATCH function : 0%
• TODO: Bulk PATCH
• ...

Example of usage :

>>> from bubbleio import Bubbleio
>>> API_KEY = "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
>>> API_ROOT = "https://appname.bubbleapps.io/api/1.1/obj"
>>> bbio = Bubbleio(API_KEY, API_ROOT)
>>> bbio.get("fooType")

{
    "cursor": 0,
    "results": [
        {
            "foo_field_1": "value1",
            "foo_field_2": "value2",
            "_id": "item1_bubble_id"
        },
        {
            "foo_field_1": "value3",
            "foo_field_2": "value4",
            "_id": "item2_bubble_id"
        },
        ...
    ],
    "remaining": 0,
    "count": 31
}

>>> bbio.get("fooType", constraints=[
...     {"key": "foo_field_1", "value": "value1", "constraint_type":"equals"}
... ])

{
    "cursor": 0,
    "results": [
        {
            "foo_field_1": "value1",
            "foo_field_2": "value2",
            "_id": "item1_bubble_id"
        }
    ],
    "remaining": 0,
    "count": 1
}

>>> from bubbleio import Bubbleio
>>> bbio = Bubbleio(API_KEY, API_ROOT)
>>> joins_ = [
...     {
...         "field": "fooBar",
...         "typename": "barType",
...     }
... ]
>>> bbio.get_results("fooType")

_id     fooField1   fooField2   fooBar
idFoo1  value       value       idBar1
idFoo2  value       value       idBar2

>>> bbio.get_results("barType")

_id     barField1   barField2
idBar1  value       value
idBar2  value       value

>>> bbio.get_all_results_as_df("fooType", joins=joins_)

_id     fooField1   fooField2   fooBar  fooBar__id      fooBar_barField1   fooBar_barField2
idFoo1  value       value       idBar1  idBar1          value              value
idFoo2  value       value       idBar2  idBar2          value              value