Brainstorm output — Konrad's Checkpoint-3 UX request, now spec'd. Key decisions: - Pill-as-dropdown: existing filter pills become clickable popovers - Explicit Apply button; hidden when no pending changes - Modal retired; dashboard 'Generate Report' becomes a plain link - Bidirectional cross-filter: selecting a project hides teams that haven't worked on it (and vice versa). Strict behaviour with auto-removal of now-invalid selections + toast notice. - URL contract unchanged; PDF download unchanged (still uses current querystring). One new context key (project_team_pairs_json) serialises distinct (project_id, team_id) pairs from WorkLog for client-side cross-filter. ~80 CSS lines for popover + dirty state + toast; ~150 JS lines for one scoped module (createElement + textContent, XSS-safe). Scope: 5-6 focused tasks, 1 checkpoint. Next step: Feature 2 brainstorm (Payroll Adjustments Browser) before handing both to writing-plans. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Flatlogic Python Template Workspace
This workspace houses the Django application scaffold used for Python-based templates.
Requirements
- Python 3.11+
- MariaDB (or MySQL-compatible server) with the credentials prepared by
setup_mariadb_project.sh - System packages:
pkg-config,libmariadb-dev(already installed on golden images)
Getting Started
python3 -m pip install --break-system-packages -r requirements.txt
python3 manage.py migrate
python3 manage.py runserver 0.0.0.0:8000
Environment variables are loaded from ../.env (the executor root). See .env.example if you need to populate values manually.
Project Structure
config/– Django project settings, URLs, WSGI entrypoint.core/– Default app with a basic health-check route.manage.py– Django management entrypoint.
Next Steps
- Create additional apps and views according to the generated project requirements.
- Configure serving via Apache + mod_wsgi or gunicorn (instructions to be added).
- Run
python3 manage.py collectstaticbefore serving through Apache.
Description
Languages
JavaScript
42.5%
SCSS
41.7%
CSS
11.9%
Python
3.2%
HTML
0.6%