What is CodeParrot?

Get a change report on response body, latency & error rates of your APIs!

_{An Example Diff}

CodeParrot uses AI and production traffic to generate a change report. This report gives you insights on differences in response body for all unique requests coming to your service!

It works by "recording" production (or staging env) traffic. Our AI figures out the unique API calls from this traffic, and also mocks the downstream dependencies! Magic right?! 🤯

Then for every PR, the above unique API calls are run against the new version of code. Its like- auto-generated functional tests (API calls for a service, with dependencies mocked).

Installation

Step 1 - Install the nodeJs "record" agent

Install the CodeParrot dependency @codeparrot/js-agent by running
```
npm install @codeparrot/js-agent
```
This will add a dependency "@codeparrot/js-agent": "^1.2.3", in your package.json

Update the node start app command with -r @codeparrot/js-agent, like

"scripts": {
    "server": "node -r @codeparrot/js-agent index.js"
}

This basically require’s the code parrot agent package before your application code.

If you are using pm2 to run your application, then the following syantx can help you get started

module.exports = {
  apps : [{
    name   : "app1",
    script : "./app.js",
    node_args: "--require @codeparrot/js-agent",
    env_production: {
      NODE_ENV: "production",
      CODE_PARROT_JSON_KEY_FILE: "/path-to-file/agent-file.json",//replace with the path of your agent file
      CODE_PARROT_APP_NAME: "test-app-1",
      CODE_PARROT_VERSION: "0.0.1",
   },
  }]
}

Set the following env variable:

# set it to your *unique* service name
CODE_PARROT_APP_NAME=<service-name>

NOTE: The environment variables have to be set before the agent is pre-loaded. For example, if you are using dotenv to load environment variable in your app, then these variables won't be available to the codeparrot js-agent.

When you start your nodeJS application and see a log line like:

@codeparrot/js-agent, v1.2.5 nodejs-agent-<...>gserviceaccount.com

CodeParrot record is set up! 🎉 Use your application as normal, and CodeParrot will record the network traffic.

Step 2 - Install GitHub App

Install the CodeParrot GitHub App in the repo(s) that already have replay set up. (It asks for the minimum possible permissions)

Then, create 2 new files:

codeparrot-replay.Dockerfile
codeparrot.sh

to run the tests. Every code push, this Dockerfile is built and run. This new Dockerfile is almost as same as your existing one, except that it sets the CMD to run codeparrot.sh instead of the usual npm start.

NOTE: You don't have to provision docker, you just provide the dockerfile, and our github app runs this in cloud so that it is able to generate diff report. The onus is on us.

codeparrot.sh runs your app start command (like npm start) in a loop, until all the tests execute.

Example codeparrot.sh :

#!/bin/sh

while :
do
    CODE_PARROT_IS_REPLAY=true npm start && break
    echo "Non-zero exit! Restarting replay..."
done

Example codeparrot-replay.Dockerfile :

# ... existing app setup

COPY codeparrot.sh ./codeparrot.sh

CMD ["sh", "./codeparrot.sh"]

Now, in every PR, a GitHub "check" with a link to the Change Report will appear: 🎉

Contributing, Self Setup

Refer to CONTRIBUTING.md