Adding stubs for tests of major components.

README.md

@@ -107,17 +107,24 @@ We implemented Deep Q Learning (DQN), Double DQN, DDPG, A2C, SAC, PPO, TD3, GAE,
 
 # Installation:
 
-Clone this repository
-```shell
-git clone https://github.com/AI4Finance-LLC/FinRL-Library.git
-```
+## Docker Installation
 
-Install the unstable development version of FinRL:
-```shell
-pip install git+https://github.com/AI4Finance-LLC/FinRL-Library.git
+### option 1: Use the bin
+
+```bash
+# grant access to execute scripting (read it, it's harmless)
+$ sudo chmod -R 777 docker/bin
+
+# build the container!
+$ ./docker/bin/build_container.sh
+
+# start notebook on port 8887!
+$ ./docker/bin/start_notebook.sh
+
+# proceed to party!
 ```
 
-## Docker Installation
+### option 2: Do it manually
 
 Build the container:
 ```bash
@@ -130,6 +137,20 @@ Note: The default container run starts jupyter lab in the root directory, allowi
 $ docker run -it --rm -v ${PWD}:/home -p 8888:8888 finrl
 ```
 
+
+## Bare-metal installation (More difficult)
+
+Clone this repository
+```shell
+git clone https://github.com/AI4Finance-LLC/FinRL-Library.git
+```
+
+Install the unstable development version of FinRL:
+```shell
+pip install git+https://github.com/AI4Finance-LLC/FinRL-Library.git
+```
+
+
 ## Prerequisites
 For [OpenAI Baselines](https://github.com/openai/baselines), you'll need system packages CMake, OpenMPI and zlib. Those can be installed as follows
 

docker/bin/build_container.sh

@@ -0,0 +1,5 @@
+#!/bin/bash
+
+
+
+docker build -f docker/Dockerfile -t finrl docker/

docker/bin/start_notebook.sh

@@ -0,0 +1,3 @@
+#!/bin/bash
+
+docker run -it --rm -v ${PWD}:/home -p 8887:8888 finrl

docker/bin/test.sh

@@ -0,0 +1,7 @@
+#!/bin/bash
+
+
+docker run \
+    -it \
+    --rm \
+    -v ${PWD}:/home finrl python3 -m unittest discover

tests/test_marketdata/test_yahoodownload.py

@@ -0,0 +1,30 @@
+import unittest
+from finrl.marketdata.yahoodownloader import YahooDownloader
+import pandas as pd
+
+
+
+
+
+class TestDownloader(unittest.TestCase):
+    def setUp(cls):
+        cls.ticker_list = ["AAPL", "GOOG"]
+
+    def test_trivial(self):
+        print(f"got hree!")
+        self.assertTrue(True)
+
+
+    def test_download(self):
+        df = YahooDownloader(start_date = '2019-01-01',
+                            end_date = '2019-02-01',
+                            ticker_list = self.ticker_list).fetch_data()
+
+        self.assertIsInstance(df, pd.DataFrame)
+
+
+
+
+
+if __name__ == '__main__':
+    unittest.main()