Skip to content

Latest commit

 

History

History
83 lines (49 loc) · 2.2 KB

README.md

File metadata and controls

83 lines (49 loc) · 2.2 KB

Local Setup

Local production run

  1. Copy the .env.template file to .env.local:
cp .env.template .env.local

  1. Add the necessary settings to the .env.local or change it. The EMAIL__PSW is needed to run the backend. Please change the mail settings accordingly.

  2. Inside the src folder run:

./start.sh

  1. The frontend should now be reachable on http://localhost:3000. After that you should be able to register, login and use the software.

  2. OPTIONAL: If you want to fill the database with our dummy-data you can use the following command:

docker exec -i deskstar_postgres psql -U postgres deskstar < ./deskstar-db/dummy-data.sql

The dummy data already contain some companies you can use and also some test users. You can find the login data at the bottom of this README.

Local Dev Setup

1. Build and open in Dev Container

2. Update the database

Inside the folder ./src/deskstar-backend/Deskstar execute the following command

dotnet ef database update

3. Start the backend

Inside the folder ./src/deskstar-backend/Deskstar execute the run.sh script

4. Start the frontend

Inside the folder ./src/deskstar-backend/Deskstar execute following command

yarn dev

You might need to run yarn before, to update all dependencies

5. (optional) Import dummy data

Option 1 (use GUI): Use a GUI like TablePlus to import the dummy-data.sql file located in the deskstar-db folder

Option 2 (use Terminal):

Import content from sql dump (inital dummy data can be found in ```src/deskstar-db/dummy-data.sql)

docker exec -i amos2022ws05-shared-desk-mgmt_devcontainer-db-1 psql -U postgres < <path-to-sql-dump>

Export content dump (beware that it exports the migration table as well)

docker exec -t amos2022ws05-shared-desk-mgmt_devcontainer-db-1 pg_dump --column-inserts --data-only -U postgres > dump_`date +%d-%m-%Y"_"%H_%M_%S`.sql

6. Login

There are currently 2 test user in the database and 1 company. In order to login you can use the following data:

Company: 8745f064-c658-4a32-83fb-9d7d7e6d8f17

Email: [email protected] (normal user) or [email protected] (admin user)

Password: test123