macaca-datahub
Continuous data provider for development, testing, staging and production.
Last updated 2 months ago by xudafeng .
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Macaca

Macaca DataHub

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Continuous data provider for development, testing, staging and production.

Contributors


xudafeng


zhangyuheng


zivyangll


brucejcw


BernardTolosajr


zhuyali


Chan-Chun


atian25


paradite


gaius-qi


yesmeck


fengmk2


nightink

This project follows the git-contributor spec, auto updated at Tue Jun 11 2019 11:55:36 GMT+0800.

Introduction

Macaca DataHub is a continuous data provider for development, testing, staging and production.

A Comprehensive Solution

DataHub is born to solving the lifecycle needs of mock/testing data of software development, from development, testing, staging to final production. Software engineers and test engineers use DataHub to manage their mock/testing data.

Decentralization

DataHub is flexible with how and where mock/testing data is stored.

You can use a local instance of Datahub on your local machine to manage your local testing/mock data during development. The mock/testing data is in plain text. It can be versioned and archived with any version control software, together with your project files.

In addition, the local mock/testing data can be pushed and synchronized to a remote Datahub server to meet the needs of data sharing and collaboration.

Data Flow Management

DataHub adopts the principle of unidirectional data flow to make sure you will always get the latest data.

Consistency Between API Document and Mock Data

Datahub can also automatically generate an API document from your mock/testing data, to help keep your API document up to date and consistent with your mock data.

Dashboard

DataHub adopts multi-scenario design, can group data according to the scene name, and provide scene data addition, deletion, and change, and can operate through DataHub's panel interface.

DataHub provides a dashboard for you to manage your data. You can group data by scene, or by stage such as development, testing, or staging. Datahub provides standard CRUD funtions.

Datahub use path-to-regexp for dynamic path matching.

API name example:

DataHub API name matched request path
api1/books api1/books
api2/:foo/:bar api2/group/project
api3/:id api3/fred
api3/:id api3/baz

Save Snapshot

DataHub can save the response of each request by taking snapshot. You can use the archieved snapshot to find out what happened.

Automation Testing

Through the seamless integration of the switchScene(scenario) API in test cases, higher test coverage can be achieved.

License

The MIT License (MIT)

Current Tags

  • 1.0.76                                ...           dist-1.x (a year ago)
  • 2.5.1                                ...           latest (2 months ago)

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