- Updated .env.example and .env files for backend and frontend with placeholder values. - Enhanced .gitignore to include additional files and directories. - Modified docker-compose.yml to change image names and improve service health checks. - Updated README.md and SETUP_THE_PROJECT.md for clearer setup instructions. - Added database initialization scripts and SQL files for structured database setup. - Updated frontend Dockerfile to use Node.js 22 and adjusted package.json scripts. - Improved error handling and logging in start scripts for better debugging. - Added reCAPTCHA support in the signup page with conditional loading based on environment variables.
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All database DDLs, DMLs and migrations relates to the application should be stored here as well.
Worklenz Database
Directory Structure
sql/- Contains all SQL files needed for database initializationmigrations/- Contains database migration scripts00-init-db.sh- Initialization script that executes SQL files in the correct order
SQL File Execution Order
The database initialization files should be executed in the following order:
sql/0_extensions.sql- PostgreSQL extensionssql/1_tables.sql- Table definitions and constraintssql/indexes.sql- All database indexessql/4_functions.sql- Database functionssql/triggers.sql- Database triggerssql/3_views.sql- Database viewssql/2_dml.sql- Data Manipulation Language statements (inserts, updates)sql/5_database_user.sql- Database user setup
Docker-based Setup
In the Docker environment, we use a shell script called 00-init-db.sh to control the SQL file execution order:
- The shell script creates a
sql/subdirectory if it doesn't exist - It copies all .sql files into this subdirectory
- It executes the SQL files from the subdirectory in the correct order
This approach prevents the SQL files from being executed twice by Docker's automatic initialization mechanism, which would cause errors for objects that already exist.
Manual Setup
If you're setting up the database manually, please follow the execution order listed above. Ensure your SQL files are in the sql/ subdirectory before executing the script.