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This is the best merchant of all time

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# Data-Driven Demand Learning and Dynamic Pricing Strategies in Competitive Markets

The main merchant is Random Forest (`merchant/rand_for.py` or `merchant/demand_learning.py`).

### Setup

* Install Python 3.6 or create virtual environment (e.g. `virtualenv -p python3.6 env` and `source env/bin/activate`)
* `pip install -r requirements.txt`
* `cd merchant`
* Run tests: `python -m unittest`

### Start merchant on platform

* Go to `http://vm-mpws2016hp1-02.eaalab.hpi.uni-potsdam.de/#/deployment`
* Merchant API: `http://vm-dynpricing-team-8.eaalab.hpi.uni-potsdam.de:<PORT>`
* Set environment variables:
```
export PRICEWARS_MARKETPLACE_URL="vm-mpws2016hp1-04.eaalab.hpi.uni-potsdam.de:8080/marketplace"
export PRICEWARS_PRODUCER_URL="vm-mpws2016hp1-03.eaalab.hpi.uni-potsdam.de"
export PRICEWARS_KAFKA_REVERSE_PROXY_URL="vm-mpws2016hp1-05.eaalab.hpi.uni-potsdam.de:8001"
export API_TOKEN="<API TOKEN>"
```
* `python rand_for.py --port <PORT>`
* Go to `http://vm-mpws2016hp1-02.eaalab.hpi.uni-potsdam.de/index.html#/config/merchant` and start merchant

### Reset merchant

* Stop server (Ctrl+C)
* `rm ../tmp/*`
* Start server (`python rand_for.py --port <PORT>`)

### CSV interface

* `rm ../tmp/*`
* `python rand_for.py --train <train_offers.csv> --buy <buy_offers.csv> --merchant <merchant_id> --test <test_offers.csv> --output out.txt`

dynamicpricing

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