https://github.com/finbourne/devops-python-test

A repository for the DevOps Python test
https://github.com/finbourne/devops-python-test

Last synced: 22 days ago
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A repository for the DevOps Python test

• Host: GitHub
• URL: https://github.com/finbourne/devops-python-test
• Owner: finbourne
• Created: 2021-10-18T10:29:39.000Z (about 3 years ago)
• Default Branch: master
• Last Pushed: 2024-06-24T13:37:48.000Z (7 months ago)
• Last Synced: 2024-06-24T15:17:34.508Z (7 months ago)
• Language: Shell
• Homepage:
• Size: 7.81 KB
• Stars: 0
• Watchers: 7
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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# Python (Data) DevOps Practical Test

A repository for the Python (Data) DevOps Practical test.

- [Python (Data) DevOps Practical Test](#python-data-devops-practical-test)

  - [Challenge](#challenge)

  - [Rules](#rules)

  - [Instructions for use](#instructions-for-use)

## Challenge

You are required to download three sources of vendor data (in approximately CSV format), aggregate the data and then output

a valid CSV formatted file containing events that occurred in the time range: `2021-10-18 12:18:00` to `2021-10-18 12:25:00`. The resulting CSV should

be committed to the repository and stored under `./results`.

## Rules

- Please do not expose this repository to anyone.

- Please do not share answers

- You can copy code from the internet, but please attribute where relevant

- Try to contain your time to 2-3 hours for the test.

- The Python version should be compatible with Python3.10.

- You are free to use whatever libraries you like.

- You can commit as many times as you want, to share the progression in your thinking.

## Instructions for use

- Clone this project

- Test the setup by running `./run.sh`, you should see the following output (maybe a bit more depending on your docker config):

```sh

[Mon Oct 18 12:44:38 UTC 2021] Entering...

Serving HTTP on 0.0.0.0 port 9000 (http://0.0.0.0:9000/) ...

hello world

[Mon Oct 18 12:44:40 UTC 2021] Exiting...

```

- You should modify the files under `./src` until you solve the challenge.

- You should retrieve the csv files by downloading them from `localhost:9000/vendor_a.csv`, `localhost:9000/vendor_b.csv`, `localhost:9000/vendor_c.csv`.

- Process the files so that they are consistent and extract events in the date range specified.

- Write the resulting events csv to `./results`.