When Team(s) are selected via the Teams popover, the Workers popover
now only shows workers who belong to at least one of those teams.
URL-selected workers stay visible regardless (so the user can see
and untick them).
Backend adds one context key: team_worker_pairs_json — raw Python
list of {team_id, worker_id} dicts from Team.workers.through;
template renders via |json_script (safe, no double-encoding).
Frontend reads the JSON once, builds a team_id -> Set(worker_id)
index, and on every Workers-popover open (and on Teams-popover OK)
hides rows whose worker is out-of-team. display:none on the <label>
row is visually cleaner than disabling the checkbox alone.
Scope: entire roster (not date-range-scoped) — cross-filter is
about data possibility, not data in this period.
One new test locks in the pairs-context-key shape (asserts it's a
raw Python list of dicts, not a pre-serialised JSON string —
guards against the double-encoding regression from Feature 1).
65/65 tests pass.
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%