Mercado Livre Challenge

How to Clone and Deploy the project

First, install aws cli.

[AWS CLI](https://docs.aws.amazon.com/cli/latest/userguide/install-cliv2.html)

The we need to configure our aws profile at local environment.

$ aws configure

Then we can use npm to install aws-cdk

$ npm install -g aws-cdk

To manually create a virtualenv:

$ python3 -m venv .venv

Before configure our stack, we need to clone the repository

$ git clone [email protected]:raafaadg/mercado-livre-mlops.git

Replace the values with your information

aws secretsmanager create-secret \
    --name personal/github \
    --secret-string '{"key":"YOUR_TOKEN", "owner":"OWNER"}'

Export your AWS Account ID and your prefeered region to deploy

$ set key=YOUR_TOKEN
$ set owner=OWNER

Activate your virtualenv on Windows.

$ .venv\Scripts\activate.bat

Then you can install the required dependencies.

$ pip install -r requirements.txt

Push to a new repo and deploy pipeline

$ cdk deploy mercado-libre-mlops-pipeline --require-approval never

Now, any new commit to the 'main' repo will be deployed to our infra. But can also manually deploy the main stack with

$ cdk deploy mercado-libre-mlops --require-approval never

To add additional dependencies, just add them to your setup.py file and rerun the pip install -r requirements.txt command.

Tests

$ python -m unittest tests/unit/lambdas.py

Useful commands

• cdk ls list all stacks in the app
• cdk synth emits the synthesized CloudFormation template
• cdk deploy deploy this stack to your default AWS account/region
• cdk diff compare deployed stack with current state
• cdk docs open CDK documentation

Api Requests

https://bcg3qa9gsa.execute-api.us-east-1.amazonaws.com/prod

• POST /api --d {"source_links":["https://google.com"], "level":2} start the job with the refereced links for the N Deep Level
• POST /train Train and Save new Random Forest Model
• GET /predict --d {"source_links":["https://google.com"]} get the prediction for the links