lars
6b0fca0100
Participant and Group are now pydantic BaseModels. Group.hosts can form cycles between groups, so it's kept as a private, non-persisted live list (set via set_hosts()/add_host()) backed by a serializable host_uuids field, re-linked via resolve_hosts() after a reload. A new Plan model (src/tatami/plan.py) bundles groups, the after-party group, and the event config (course_times, organizer_contacts, info_text, spreadsheet_id) and supports save()/load() to/from JSON. tatami_masterplan's __main__ now saves to masterplan.json (PLAN_FILE env var to override) on first run and loads it on later runs instead of recomputing, so the plan can be hand-edited (move a member between groups, change a course, fill in spreadsheet_id) and picked up on rerun without hitting the Routes API again. spreadsheet_id moves out of .env (GOOGLE_SHEETS_SPREADSHEET_ID) onto the plan itself, since it's part of the plan rather than a secret.
13 lines
709 B
Bash
13 lines
709 B
Bash
# Copy this file to `.env` and fill in your real key. `.env` is gitignored.
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# Required: Google Maps API key with the Routes API enabled.
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GOOGLE_MAPS_API_KEY=your-api-key-here
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# Optional: export the masterplan to a shared Google Sheet for participants.
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# Set up once: create a Google Cloud service account, enable the Google
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# Sheets API for its project, and download the service account's JSON key.
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# Then create a blank Google Sheet, share it with the service account's
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# client_email (found in the JSON key) as Editor, and set its id as
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# `spreadsheet_id` in the saved masterplan.json (see README) - leave it unset
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# there to skip sheet export entirely.
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GOOGLE_SHEETS_CREDENTIALS_FILE=service-account.json
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