Simple flask program

Craete a pythgon virtual environment to keep the dependencies independent. Activate the enviornemnt and then install flask in it.

sudo apt-get install python3-venv
cd ~/projects
python3 -m venv flask-python-venv
source ~/projects/flask-python-env/bin/activate 
pip3 install flask

Create requirements.txt. Ensure source command above has been run

pip3 install pipreqs
pipreqs ~/projects/hello-flask --force

python3 basic.py

If port is already being used then identify the program and stop it.

lsof | grep 5000 
kill <pid>

-- List projects and ensure correct project is being used
gcloud config list project 

-- deploy the app
gcloud app deploy

Enable the AppEngineAdmin and Cloud Build APIs TODO: do this from terraform scripts

Grant App Engine access to the Cloud Build service account

Create a build trigger

More details are at https://cloud.google.com/source-repositories/docs/quickstart-triggering-builds-with-source-repositories

Build trigger failed with an error and I had run the below from the WSL Linux console

PROJECT_ID=xxxxxx

PROJECT_NUMBER=$(gcloud projects list \
  --format="value(projectNumber)" \
  --filter="projectId=${PROJECT_ID}")

gcloud iam service-accounts add-iam-policy-binding \
    ${PROJECT_ID}@appspot.gserviceaccount.com \
    --member=serviceAccount:${PROJECT_NUMBER}@cloudbuild.gserviceaccount.com \
    --role=roles/iam.serviceAccountUser \
    --project=${PROJECT_ID}

Set the debug to True "app.run(debug=True)". Note down the PIN from the console and then Python allows debug from the webpage. Note that this has to be turned off in production.

Jinga support passing data from python to html. Pass parameter in render_templtae and refer to it inside 2 sets of curly braces as {{my_variable}}.

Control flow statements reqire to be enclosed in {% %}

From command line

pip3 install Flask-Migrate
export set FLASK_APP=basic.py
flask db init
flask db migrate -m "added column"
flask db upgrade