chore: hides api key on .env

.env.example

@@ -0,0 +1,2 @@
+# Example: CRYPTOCOMPARE_API_KEY='my-key'
+CRYPTOCOMPARE_API_KEY=''

.gitignore

@@ -1,4 +1,5 @@
 **/__pycache__
 *.csv
 /.vscode
-/models
+/models
+.env

README.md

@@ -18,7 +18,9 @@ Deep reinforcement learning multi-agent algorithmic trading framework that learn
 
 ## Prerequisites
 
--   [Miniconda](https://conda.io/docs/user-guide/install/index.html) or Anaconda
+-   [Miniconda](https://docs.conda.io/projects/conda/en/latest/user-guide/install/linux.html) or Anaconda
+
+An API Key on [CryptoCompare](https://min-api.cryptocompare.com/)
 
 * * *
 
@@ -27,6 +29,8 @@ Deep reinforcement learning multi-agent algorithmic trading framework that learn
 ### Ubuntu
 
 ```sh
+# paste your API Key on .env
+cp .env.example .env
 # make sure you have these installed
 sudo apt-get install gcc g++ build-essential python-dev python3-dev -y
 # create env

t-1000.yml

@@ -73,6 +73,7 @@ dependencies:
     - pyrsistent==0.15.4
     - pytest==5.1.3
     - python-dateutil==2.8.0
+    - python-dotenv==0.14.0
     - pytz==2019.2
     - pyyaml==5.1.2
     - ray==0.8.0

utils/data_processing.py

@@ -9,6 +9,7 @@
 import requests
 import pandas as pd
 import numpy as np
+from dotenv import load_dotenv
 from yaspin import yaspin
 from prompt_toolkit import HTML, print_formatted_text
 from prompt_toolkit.styles import Style
@@ -41,13 +42,17 @@ def get_datasets(asset, currency, granularity, datapoints, exchange, df_train_si
     Returns:
         pandas.Dataframe -- The OHLCV and indicators dataframe
     """
+    load_dotenv()
+    CRYPTOCOMPARE_API_KEY = os.getenv('CRYPTOCOMPARE_API_KEY')
+    if not CRYPTOCOMPARE_API_KEY:
+        raise EnvironmentError('CRYPTOCOMPARE_API_KEY not found on .env')
     df_train_path = 'data/bot_train_{}_{}_{}.csv'.format(
         asset + currency, datapoints, granularity)
     df_rollout_path = 'data/bot_rollout_{}_{}_{}.csv'.format(
         asset + currency, datapoints, granularity)
     if not os.path.exists(df_rollout_path):
         headers = {'User-Agent': 'Mozilla/5.0',
-                   'authorization': 'Apikey 3d7d3e9e6006669ac00584978342451c95c3c78421268ff7aeef69995f9a09ce'}
+                   'authorization': 'Apikey {}'.format(CRYPTOCOMPARE_API_KEY)}
 
         url = 'https://min-api.cryptocompare.com/data/histo{}?fsym={}&tsym={}&limit={}&e={}'.format(
             granularity, asset, currency, datapoints, exchange)
@@ -64,9 +69,7 @@ def get_datasets(asset, currency, granularity, datapoints, exchange, df_train_si
         json_response = response.json()
         status = json_response['Response']
         if status == "Error":
-            print(colored('=== {} ==='.format(
-                json_response['Message']), 'red'))
-            raise AssertionError()
+            raise AssertionError(colored(json_response['Message'], 'red'))
         result = json_response['Data']
         df = pd.DataFrame(result)
         # print(df.tail())