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Family Promise Service Tracker

Family Promise helps local communities coordinate their compassion to address the root causes of family homelessness. They tap existing local resources to empower families towards economic stability. Families come to them in crisis; they help them rebuild their lives with new skills and ongoing support. They address the issue holistically, providing prevention services before families reach crisis, shelter and case management when they become homeless, and stabilization programs once they have secured housing to ensure they remain independent.

Family Promise needs a way to track and visualize the services they provide external to the shelter to gain actionable insights.

Our goal is to build a generalizable monitoring and evaluation (M&E) platform that meets Family Promise's needs, with an eye toward additional potential use cases that would be useful for many other organizations.

Schema

DB Designer Schema Link

Status

Deployed here: https://fp-service-tracker.herokuapp.com/

Needs Updating Current Roadmap in Notion, all activity tracked in Trello.

Requirements

Details on the Labs Node Scaffolding here: https://docs.labs.lambdaschool.com/labs-api-strarter/

Labs teams must follow all Labs Engineering Standards.

Documentation

  • The documentation for how to work with the JSONB column used for Service Entry data and type models, check out /docs/API-README-SERVICE-ENTRIES.md
  • The current API documentation is found in /docs/API-README.md
  • List of known issues is found in /docs/known-defects.md
  • Pull Request Template found in /docs/pull_request_template.md

Getting Started

Please reference the step by step instructions to setup development environment in /docs/dev-setup.md

Environment Variables

  • PORT - API port (optional, but helpful with FE running as well)
    • The following ports are whitelisted for use with okta
      • 3000
      • 8000
      • 8080
  • DS_API_URL - URL to a data science api. (eg. https://ds-bw-test.herokuapp.com/)
  • DS_API_TOKEN - authorization header token for data science api (eg. SUPERSECRET)
  • DEV_DATABASE_URL - connection string for local postgres database
  • OKTA_URL_ISSUER - The complete issuer URL for verifying okta access tokens. https://example.okta.com/oauth2/default
  • OKTA_CLIENT_ID - the okta client ID.
  • OKTA_ORG_URL - The base url for the Okta org
  • OKTA_API_TOKEN - Okta API token

See .env.sample for example values

Setup postgres

There are 3 options to get postgresql installed locally [Choose one]:

  1. Use docker. Install for your platform
    • run: docker-compose up -d to start up the postgresql database and pgadmin.
    • Open a browser to pgadmin and you should see the Dev and Test server already defined.
    • If you need to start over you will need to delete the folder $ rm -rf ./data/pg as this is where all of the server data is stored (ONLY IF YOU NEED TO START OVER)
    • Upon logging into postgres admin on localhost (2nd dash above), you'll see the API-DEV server, but you will need to check if there is a "api-dev" database within that server, if not or if the databases api-dev and api-test were not created then you'll need to create them by right clicking databases, clicking create database, and adding a database for "api-dev" and then start over at step 1. You may need to grant system execution access to the .sh file in docker/pg/pg-init-scripts:
    • Run following from within root: chmod +x ./docker/pg/pg-init-scripts/create-multiple-postgresql-databases.sh
  2. Download and install postgresql directly from the main site
    • make note of the port, username and password you use to setup the database.
    • Connect your client to the server manually using the values previously mentioned
    • You will need to create a database manually using a client.
    • Make sure to update the DATABASE_URL connection string with the values for username/password, databasename and server port (if not 5432).
  3. Setup a free account at ElephantSQL
    • Downside: JSONB column displays as [object Object], so not good when testing/creating JSON queries
    • Sign up for a free Tiney Turtle plan
    • copy the URL to the DATABASE_URL .env variable
    • make sure to add ?ssl=true to the end of this url

Setup the application

  • create your project repo by forking or using this as a template.
  • run: npm install to download all dependencies.
  • run: cp .env.sample .env and update the enviornment variables to match your local setup.
  • run: npm run knex migrate:latest to create the starting schema.
  • run: npm run knex seed:run to populate your db with some data.
  • run: npm run tests to confirm all is setup and tests pass.
  • run: npm run watch:dev to start nodemon in local dev enviornment.

Getting coordinates for location data

  • The location seed data comes from data/addresses_data.js and is combined faker data in the locations seed file.
  • The coordinates for addresses were generated with the helper file in utils/getAddressesWithCoords.js
  • This helper file can be used as a service in the event that future location data needs coordinates
  • The addresses should be changed to an array of properly formatted address objects (see addresses_data.js or the /geocode/ endpoint in the DS Swagger docs)
  • The program will loop through the array, hit the DS /geocode/ endpoint, and return an array of the updated address objects, now with coordinates
  • This program is for one off data cleaning operations. When a user creates a new location in the application, the getCoords middleware will get the coordinates from the DS '/geocode/' endpoint

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