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Project description
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
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
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