datawowio/datawow-python

HTTP RESTFul for calling DataWow APIs

Datawow-python

HTTP RESTFul for calling DataWow APIs

support or question support@datawow.io

Installation

pip install datawow

or

pip2 install datawow

The library has supports following version of python:

• Python 2.7 tested
• Python 3.5 tested
• Python 3.6 tested

Recommendation: We've created virtual-env for Python 3.5 on development process, thus we recommended to use Python version 3.5 or above.

For user who use conda, we haven't contribute yet

Usage

Import

>>> import datawow as dw

There are 4 modules for API that you can import into your system

1. Image API module

>>> import datawow.images as dw

2. Text API module

>>> import datawow.texts as dw

3. Video API module

>>> import datawow.videos as dw

4. AI/Prediction API module

>>> import datawow.predictions as dw

Functions explanation

datawow.images module

In the image module, there are 4 APIs

>>> dw.Choice()
>>> dw.Message()
>>> dw.PhotoTag()
>>> dw.ClosedQuestion()

---

datawow.videos module

In the video module, there are 1 APIs

>>> dw.VideoClassify()

---

datawow.texts module

In the text module, there are 3 APIs

>>> dw.CategoryClassify()
>>> dw.Conversation()
>>> dw.ClosedQuestion()

---

datawow.predictions module

In the prediction module, there are 1 APIs

>>> dw.Predictor()

Demo and Usage

• Image Documentation link
• Video Documentation link
• Text Documentation link
• AI/Prediction Documentation link
• Document verification Documentation link

Working with response

datawow.responses module

To use response which is data has been contained in response class and you can use dot operation to get you data

>>> result.data

For check error or status by calling this

>>> result.error_code # 401
>>> result.message # Not authenticated

also you can check HTTP success by following

>>> result.code # 200

To use meta data such as pagination

>>> result.meta # {'code': 200, 'message': 'success'}