Panda

This is the technical test for applying at PandaScore.

Prerequisite

You have to export PANDASCORE_TOKEN variable

export PANDASCORE_TOKEN=TOKEN

There are tags for each part.

Don't forget to download all dependencies

mix deps.get

Part 1

How to

iex> Panda.upcoming_matches

Part 2

How to

iex> Panda.odds_for_match 547185

Details about how i maked my odds

I am based on 5 stats and each of them is limited by a point max.

• (1) Confrontation between both teams (35 points)
• (2) Number of tournament played compared with the opponent (5 points)
• (3) Number of match played compared with the opponent (10 points)
• (4) Ratio of match won compared with the opponent (15 points)
• (5) Ratio of tournament won compared with the opponent (35 points)

The sum is equal to 100

For comparing the stats 1,4 and 5 I chose to use the equation detailed here link

For 2 and 3 a simple division on x played / total of x played by both teams

Part 3

iex> Panda.odds_for_match 547185

Cache

I used Erlang Term Storage or ETS in two places:

• I record the odds of match with his id
• As I download the matches of teams, I record this data with team id

Concurrency

• I create a map of size 2 (2 opponents) with the whole informations that i need to make an odds. I changed the execution of these operations to async with Task