Database Use

• Do NOT paste multi-line SQL or Python into the terminal.
• Draft ad-hoc scripts in temp/ first, then promote reusable ones into utils_db/.

Credentials

• Connection credentials: .env.
• Users' credentials: .env User passwords in DB are hashed. Hash is stored in the pw_hashed column.

Structure

• Schema documentation: .roo/docs/database_schema.md
• SQLAlchemy model files: models/models_*.py (eg, models/models_user.py)
• SQLAlchemy database instance: utils_db/database.py
• Schema tools:
  • Primary: utils_db/schema_inspector.py
  • Supplemental: utils_db/schema_compare.py (writes reports to temp/)

Preferred Utilities

Reuse existing tools in utils_db/ before writing new ones:

• utils_db/user_password_utils.py
• utils_db/user_management_utils.py
• utils_db/media_utils.py

Source of Truth Hierarchy

The formal Source of Truth (SoT) hierarchy for database schema information:

1. PGDB (live PostgreSQL)
2. models_*.py (SQLAlchemy) (eg, models/models_user.py)
3. .roo/docs/database_schema.md (generated)

When there is any doubt about a column, see PGDB. If a column is needed or a column name needs to change, always ask user for permission to make the add/change.

Schema Update Workflow

When making schema or data changes, follow this workflow in order:

1. Modify PGDB
   • Make changes to the live database (see "Credentials" above).
   • When creating a script to check or change the database:
     • Do NOT paste the script into the terminal.
     • Check utils_db/ for a suitable or near-suitable script first; reuse/extend if possible.
     • If it’s a true one-off, draft it in temp/ first.
     • If it’s reusable, create/update a .py utility in utils_db/.
2. Update models
   • Update the appropriate SQLAlchemy model file(s) under models/models_*.py.
3. Regenerate documentation
   • Run: python utils_db/schema_inspector.py generate-docs to update .roo/docs/database_schema.md.
4. Log changes
   • Record the date and change in .roo/docs/pgdb_changes.md.

Schema Inspector Utility

The utils_db/schema_inspector.py tool provides commands for schema management:

• introspect - Inspect live database schema and display structure
• compare-db-models - Compare live database against SQLAlchemy models to identify discrepancies
• compare-models-doc - Compare SQLAlchemy models against .roo/docs/database_schema.md
• generate-docs - Generate/update .roo/docs/database_schema.md from current database state
• report - Generate discrepancy reports under .roo/reports/ (JSON and Markdown)
• validate - Verify schema documentation is up-to-date with the database

Usage notes:

• This utility uses the configured database URL (from .env) and initializes db from utils_db/database.py.
• Some schema comparison utilities may emit reports under .roo/reports/ when run.

Usage examples:

• Introspect schema: python utils_db/schema_inspector.py introspect
• Compare: python utils_db/schema_inspector.py compare-db-models
• Compare models vs docs: python utils_db/schema_inspector.py compare-models-doc
• Generate docs: python utils_db/schema_inspector.py generate-docs
• Validate docs: python utils_db/schema_inspector.py validate

Testing

• Run tests with pytest against the live PostgreSQL database.
• In TestingConfig (config.py), CSRF is disabled (WTF_CSRF_ENABLED = False).