RightTree

Right Plant Right Place Right Time implementation using React and Django.

Initial Setup

Before running the applications please ensure the following prerequisites have been met.

Software

Most applications in this repository are built using Docker which resolves many dependencies but you will require a local installation of git, docker and docker-compose.

$ sudo apt install git docker-compose

To install docker, follow the official installation documentation. Instructions are also available for docker-compose.

In order to recieve address data while running in development mode you will need to set an environment variable containing a valid linz data service api key. Such a key can be retrieved by signing up to https://data.linz.govt.nz/. One way of setting the variable is exporting it in the same terminal window that you will run the application. To do this please create a .env file in the root directory using default.env as an example. Fill in values as appropriate.

You may also need to give the dev script executable permissions using the following command:

chmod +x ./dev

Add shapefiles for database population

Please unzip and add the following shapefiles to the ./backend/right_tree/api/data/resources directory. It should include all the files required by the shapefile and use naming conventions as follows:

Ecological Districts Shapefile:

backend/right_tree/api/data/resources/ecological_districts/
- DOC_EcologicalDistricts_2021_08_02.cpg
- DOC_EcologicalDistricts_2021_08_02.dbf
- DOC_EcologicalDistricts_2021_08_02.prj
- DOC_EcologicalDistricts_2021_08_02.sbn
- DOC_EcologicalDistricts_2021_08_02.sbx
- DOC_EcologicalDistricts_2021_08_02.shp
- DOC_EcologicalDistricts_2021_08_02.shp.xml
- DOC_EcologicalDistricts_2021_08_02.shx

Ecological Districts Shapefile:

backend/right_tree/api/data/resources/fundamental_soil_layers/
- fundamental-soil-layers-new-zealand-soil-classification.cpg
- fundamental-soil-layers-new-zealand-soil-classification.dbf
- fundamental-soil-layers-new-zealand-soil-classification.prj
- fundamental-soil-layers-new-zealand-soil-classification.shp
- fundamental-soil-layers-new-zealand-soil-classification.shx
- fundamental-soil-layers-new-zealand-soil-classification.xml

Add spreadsheet data for database population

The plant spreadsheet should be renamed as plant_data.xlsx and placed in the ./backend/right_tree/api/data/resources directory.

Running application for development

Initial build

Builds the Django backend docker image. This may need to be re-run if any new dependencies are added.

./dev build

Initialise database

Creates right_tree database and installs postgis extensions.

./dev init_database

Run web application

Starts up the applications including the frontend, backend and database.

./dev start

Once running the components can be accessed as follows:

Application	Hosted
React Frontend	http://localhost:3000
Django Backend	http://localhost:8000
Database	postgis://localhost:5432

Available commands

Other commands can be run using the following.

./dev <command>

A summary of available commands are outlined below. Note that if the command requires the application to be running (Requires Run) please execute ./dev start in another terminal before running that command.

Command	Description	Requires Run
create_database	Removes the existing database and data. Then it creates the right_tree database within a fresh postgis database instance.	No
makemigrations	Performs the django makemigrations command in the backend container.	Yes
migrate	Performs the django migrate command in the backend container.	Yes
createsuperuser	Performs the django createsuperuser command in the backend container.	Yes
load_fixtures	Performs the django loaddata command in the backend container. This loads all the fixtures found in the /backend/right_tree/api/data/fixtures directory.	Yes
load_shapefiles	Performs the custom loadshapefiles command in the backend container. This loads the ecological districts and soil layers shape files in c.	Yes
create_plant_fixtures	Performs the custom createplantfixtures command in the backend container. This loads the plant spreadsheet data from /backend/right_tree/api/data/resources/plant_data.xlsx. Requires the fixtures to be applied and shapefiles loaded.	Yes
reset_plants	Performs the custom resetplants command in the backend container. This removes all plant entries from the database.	Yes
load_plant_fixtures	Loads the /backend/right_tree/api/data/fixtures/plants.json fixture. Requires the plants.json file to be created (./dev create_plant_fixtures) and the plant table to be empty (./dev reset_plants).	Yes
load_plants	Creates plants fixtures and loads them into a fresh plant table in the database. Requires the fixtures to be applied and shapefiles loaded.	Yes
load_sites_from_spreadsheet	Loads site spreadsheet data the database initially (replaced with fixtures containing further information)	Yes
populate_database	Populates the right_tree database with base data (fixtures), provided shapefiles and plant spreadsheet data. Requires the database to be created.	No
init_database	Creates and populates the database	No
reset_database	Removes, recreates and populates the database	No
build	Builds required images	No
start	Runs all services including the frontend, backend and postgres database	No
build	Builds required images (frontend and backend) for production	No
start	Runs all services in production mode including the frontend, backend and postgres database	No

Running application for production

1. Ensure the prerequisites are met as defined in [#Initial Setup]
2. Create an .env file (if not done prior) in the root directory using default.env as an example. Fill in the values as appropriate
3. Update frontend/config.js with values as appropriate
4. Run a production build using ./dev build_production
5. Initialise the database using ./dev init_database
6. Run the production application using ./dev start_production