Add pyenv environments up front in the command so students don't need…

… to do it. (gsingers#5)

* test pip install

* pip stuff

* pip

.gitignore

@@ -1,3 +1,4 @@
+output/
 logstash-*
 # Byte-compiled / optimized / DLL files
 __pycache__/

.gitpod.Dockerfile

@@ -11,8 +11,15 @@ RUN pip install ipython
 RUN pip install urljoin
 RUN pip install matplotlib
 RUN pip install graphviz
+RUN pip install bottleneck
 
 RUN pyenv virtualenv 3.9.7 search_with_ml_opensearch
+RUN pyenv virtualenv 3.9.7 search_with_ml_week1
+RUN pyenv virtualenv 3.9.7 search_with_ml_week2
+RUN pyenv virtualenv 3.9.7 search_with_ml_week3
+RUN pyenv virtualenv 3.9.7 search_with_ml_week4
+
+
 
 RUN curl -o logstash-oss-with-opensearch-output-plugin-7.13.2-linux-x64.tar.gz https://artifacts.opensearch.org/logstash/logstash-oss-with-opensearch-output-plugin-7.13.2-linux-x64.tar.gz
 RUN tar -xf logstash-oss-with-opensearch-output-plugin-7.13.2-linux-x64.tar.gz

README.md

@@ -65,16 +65,14 @@ The following things must be done each time you create a new Gitpod Workspace (u
 
 At the command line, do the following steps to run the example.  For purposes of demonstration, let's assume we are working on week 2.  Substitute accordingly for the week you are working on.
 
-1. Setup your Python Virtual Environment.  We use `pyenv` (Pyenv website)[https://github.com/pyenv/pyenv] and `pyenv-virtualenv` (Pyenv Virtualenv)[https://github.com/pyenv/pyenv-virtualenv], but you can use whatever you are most comfortable with.
-    1. `pyenv install 3.9.7` -- Install Python 3.9.7 into PyEnv if it isn't installed already. (if you are running in Gitpod, this should already be installed.)
-    1. `pyenv virtualenv 3.9.7 search_with_ml_week2` -- Create a Virtualenv using that 3.9.7 install
-    1. `pyenv activate search_with_ml_week2` -- Activate that Virtualenv. 
-1. Install the Python dependencies: `pip install -r requirements_week2.txt`
+1. Activate your Python Virtual Environment.  We use `pyenv` (Pyenv website)[https://github.com/pyenv/pyenv] and `pyenv-virtualenv` (Pyenv Virtualenv)[https://github.com/pyenv/pyenv-virtualenv], but you can use whatever you are most comfortable with.
+    1. `pyenv activate search_with_ml_week2` -- Activate that Virtualenv. Substitute in whatever week you are working on. 
 1. Run Flask: 
     1. `export FLASK_ENV=development`
     1.  *_IMPORTANT_* Set the Flask App Environment Variable: `export FLASK_APP=week2` 
     1. `flask run --port 3000` (The default port of 5000 is already in use) 
     1. Open the Flask APP at `https://3000-<$GITPOD_URL>/`
+1. Or run `ipython`
 
 # Working locally (Not supported, but may work for you. YMMV)
 

gitpod-command.sh

@@ -1,11 +1,22 @@
 ln -s /workspace/kaggle /home/gitpod/.kaggle
-
+eval "$(pyenv init -)"
+eval "$(pyenv virtualenv-init -)"
 mkdir -p /workspace/opensearch
 mkdir -p /workspace/logstash
 mkdir -p /workspace/datasets
 sudo chown -R gitpod:gitpod /workspace/opensearch
 sudo  chown -R gitpod:gitpod /workspace/logstash
 ln -s /home/gitpod/logstash-7.13.2 /workspace/logstash/logstash-7.13.2
+pyenv activate search_with_ml_week1
+pip install -r /workspace/search_with_machine_learning_course/requirements_week1.txt
+pyenv activate search_with_ml_week2
+pip install -r /workspace/search_with_machine_learning_course/requirements_week2.txt
+pyenv activate search_with_ml_week3
+pip install -r /workspace/search_with_machine_learning_course/requirements_week3.txt
+pyenv activate search_with_ml_week4
+pip install -r /workspace/search_with_machine_learning_course/requirements_week4.txt
+
+
 cd docker
 docker-compose up -d