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Update and clarify README, esp for non-Vagrant users
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Adds a few details and some additional organization to make the README
more accurate and usable, especially for people using docker-on-host rather
than Vagrant.
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KlaasH committed Dec 17, 2024
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55 changes: 31 additions & 24 deletions README.md
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Expand Up @@ -17,30 +17,25 @@ Requirements:
3. Before starting the VM, ensure the ENV variable `PFB_SHARED_FOLDER_TYPE=virtualbox` is set. NFS is not supported on windows, so we need to ensure that Vagrant ignores our request for it.
4. Do not use `vagrant reload`. In some cases it will create a new VM rather than autodetecting that the old one exists

#### Notes for non-Windows users
#### Notes for non-Windows Vagrant users

1. An NFS daemon must be running on the host machine. This should be enabled by default on MacOS. Linux computers may require the installation of an additional package such as nfs-kernel-server on Ubuntu.
2. For some commands (e.g., `./scripts/test`), you may need to add the ENV variable `PFB_SHARED_FOLDER_TYPE=virtualbox` for the shared folders to work as expected with Django.

#### Notes for Docker only users
#### Notes for Docker-only users

This mirrors what Jenkins does and may not work for all tasks.

1. Setup AWS credentials like below.
2. Setup an export file (or manually) like:
The Vagrant VM provides a few tools and environment variables. To use Docker on host:

1. Install the AWS CLI on your machine, and set up AWS credentials as described below.
2. Create an `.env` file to provide values for variables that don't have defaults in the docker-compose file:
```bash
export AWS_DEFAULT_REGION="us-east-1"
export PFB_SETTINGS_BUCKET="staging-pfb-config-us-east-1"
export PFB_S3STORAGE_BUCKET="staging-pfb-static-us-east-1"
export PFB_AWS_BATCH_ANALYSIS_JOB_QUEUE_NAME="dummy-test-pfb-analysis-job-queue"
export PFB_AWS_BATCH_ANALYSIS_JOB_DEFINITION_NAME_REVISION="dummy-test-pfb-analysis-run-job:1"
export AWS_PROFILE=pfb
export GIT_COMMIT=0577186
export BATCH_ANALYSIS_JOB_NAME_REVISION="dummy-test-pfb-analysis-run-job:1"
DEV_USER=$USER
AWS_PROFILE=pfb
PFB_AWS_BATCH_ANALYSIS_JOB_QUEUE_NAME='dummy-test-pfb-analysis-job-queue'
PFB_AWS_BATCH_ANALYSIS_JOB_DEFINITION_NAME_REVISION='dummy-test-pfb-analysis-run-job:1'
PFB_AWS_BATCH_ANALYSIS_JOB_DEFINITION_NAME='dummy-test-pfb-analysis-run-job'
```

3. Use update and server STRTA (do not use setup)
3. Ignore `./scripts/setup`, which provisions the Vagrant VM, and just use `./scripts/update`

### Setting up AWS credentials

Expand Down Expand Up @@ -73,7 +68,9 @@ Run `./scripts/setup` to install project dependencies and prepare the developmen
vagrant ssh
```

Once in the VM, if you added AWS credentials above, run the following commands to configure your development S3 buckets:
### Creating your development S3 bucket

If you added AWS credentials above, run the following commands to configure your development S3 buckets:

```
aws s3api create-bucket --bucket "${DEV_USER}-pfb-storage-us-east-1"
Expand All @@ -82,21 +79,31 @@ aws s3api put-bucket-policy --bucket "${DEV_USER}-pfb-storage-us-east-1" --polic

At this point, if you only intend to run the 'Bike Network Analysis', skip directly to [Running the Analysis](#running-the-analysis)

To start the application containers (from within the Vagrant VM):
### Running the development server

The following commands should be run from within the Vagrant VM if you're using it, or from the project root directory on your host machine if not.

For initial setup or to apply dependency or database updates, run:

```
./scripts/server
./scripts/update --load-data
```

In order to use the API, you'll need to run migrations on the Django app server:
To start the application containers, run:

```
./scripts/django-manage migrate
This will add a default admin user that can log in to http://localhost:9200/api/ as:
[email protected] / root
./scripts/server
```

### Using the development app

The migrations that get run by `scripts/update` will add a default admin user:
Username: [email protected]
Password: root

These credentials will work to log in to either the front-end admin (http://localhost:9301/#/login/) or the Django Rest Framework development interface (http://localhost:9200/api/).


## Ports

| Port | Service | Notes |
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