deploy

How to run webapp-public locally.

• Clone this deploy repo, then cd into the fab directory and run: conda env create --file dropq_environment.yml --name aei_dropq && source activate aei_dropq
• Follow the instructions for the taxpuf package installation and run write-latest-taxpuf from the deploy repo clone top dir.
• Then install Tax-Calculator, OG-USA, B-Tax, and webapp-public into the aei_drop environment using conda packages or installations from source. An example is:

conda install -c ospc taxcalc ogusa btax # install the latest from "main" ospc channel

• Copy run_flask_server.sh to run_flask_server_local.sh so you can edit it. Do not commit changes to run_flask_server.sh unless the changes are specific to the deployed EC2 box settings.
• Copy run_celery.sh to run_celery_local.sh so you can edit it. Same comment about changes to run_celery.sh.
• Edit run_flask_server_local.sh and run_celery_local.sh to define the environment variables in there. Here's an example of run_flask_server_local.sh for me:

#!/usr/bin/env bash
export C=/Users/peter/Documents
BTAX_CUR_DIR='$C/AEI/B-Tax/btax/' TAX_ESTIMATE_PATH="$C/AEI/OG-USA/Python" OGUSA_PATH="$C/AEI/OG-USA/Python/" REDISGREEN_URL="redis://localhost:6379" python flask_server.py

In the example above, I use the environment variable C for where I clone repos, then I create the BTAX_CUR_DIR variable as the btax directory in the B-Tax clone, TAX_ESTIMATE_PATH for OG-USA's Python dir and OGUSA_PATH to that Python dir as well. REDISGREEN_URL tells the server where to look for redis to be running. The env variables are prepended to python flask_server.py so the variables apply in that process but are not set in the calling environment.

Then in one terminal, run:

. run_flask_server_local.sh

Next edit run_celery_local.sh to something like this:

#!/usr/bin/env bash
export C=/Users/peter/Documents
BTAX_CUR_DIR='$C/AEI/btax_new/btax/' TAX_ESTIMATE_PATH="$C/AEI/OG-USA/Python" OGUSA_PATH="$C/AEI/OG-USA/Python/" REDISGREEN_URL="redis://localhost:6379" CELERYD_PREFETCH_MULTIPLIER=1 celery -A celery_tasks worker --concurrency=1 -P eventlet -l info

Basically just change the env variables that are related to where you cloned things as done for

. run_flask_server_local.sh

In a separate terminal tab or window, run:

. run_celery_local.sh

Next, start redis:

redis-server

Finally, start your webapp-public django app, following the instructions there for migrate.py and runserver.py. Note that when running webapp-public's Django app locally, you can use environment variables to set where each type of compute job is being sent:

• TAXCALC_WORKERS: Where to send /taxbrain jobs
• BTAX_WORKERS: Where to send /ccc jobs
• OGUSA_WORKERS: Where to send dynamic models

An example of running webapp-public locally while using an EC2 box as a Tax-Calculator, OG-USA, and B-Tax worker:

TAXCALC_WORKERS=54.164.155.6 BTAX_WORKERS=54.164.155.6 OGUSA_WORKERS=54.164.155.6 python manage.py runserver

More than one IP address can be given for each of the *_WORKER env variables if separated by commas.

If you want to test your local webapp-public django app versus an EC2 box, then prepend DROPQ_WORKERS, BTAX_WORKERS, or OGUSA_WORKERS to your running of celery and flask. For example to send all jobs to IP addresses 1.2.3.4 and 2.3.4.5, do the following 2 commands in separate terminal tabs or windows:

DROPQ_WORKERS=1.2.3.4,2.3.4.5 BTAX_WORKERS=1.2.3.4,2.3.4.5 OGUSA_WORKERS=1.2.3.4,2.3.4.5 . run_celery_local.sh
DROPQ_WORKERS=1.2.3.4,2.3.4.5 BTAX_WORKERS=1.2.3.4,2.3.4.5 OGUSA_WORKERS=1.2.3.4,2.3.4.5 . run_flask_server_local.sh