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r2

Software 'r2' is designed to record and replay responses (to mock) from REST API services


Maintainers
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r2 (Record2Replay)

Record2Replay is simple tool to record your requests on specific target and later replay it to automate your daily tasks

Note: This version is still Work In Progress. Record/Replay function should work with no problems, but it is lack of features.

TLDR;

# install
pip install r2

# record responses from another service
r2 record http://api.plos.org

# or record on the custom name 'api_plos'
r2 record http://api.plos.org --package api_plos

Go to your browser and type:

localhost:5000/search?q=title:DNA

in your home directory, all response will be saved at

~/.r2/packages/default/*

# to replay packages 
r2 replay

# or to replay a custom package 'api_plos'
r2 replay --package api_plos

TODO

Note: This is partly implemented with 0.2 version.

  • Implement an option to parse arguments ex http://127.0.0.1:5000/search?q=title:DNA. Actual version will pass everything on the right side of the ? and save a file under search.

  • Add a support for more than one package

Installation

You can install a r2 software using a python package manager or build it from source code:

from pip

r2 is available thru pip, to install type pip install r2

from source

Go into src directory of source, and type python setup.py sdist bdist_wheel && cd dist && pip install r2*.whl

Replay files

Replay files store base information about the response, from the service.

Actual support:

  • json response

Future upgrade:

  • raw response
  • additional status codes
  • additional information from headers

Logs files

All logs are stored at ~/.r2/logs directory with filenames r2_record_2020_08_04T18_06_02_050068 where (r2_[action_type]_[isoformat_time]).

Format change v0.1 to v0.2

Since version v0.2, r2 presents a new format to store response information from the services. Before v0.2 all response was stored as a raw text in the file. Now, the Response is packed:

Example:

  • Before:
{"test": "test_body"}
  • Now:
{
"data_id": "test\endpoint", 
"actions": [
    {"arguments": {}, 
     "response": {
         "test": "test_body"}
     }]
}

This approach allow us to store different information for whole range of arguments deliver thru the URL.

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