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October 25, 2025 12:14
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frab_to_csv conference schedule pretalx
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| #!/usr/bin/env python3 | |
| """ | |
| Convert a frab/pretalx schedule JSON to CSV for Google Sheets. | |
| Usage: | |
| python frab_to_csv.py input.json > output.csv | |
| """ | |
| import sys, json, csv | |
| from datetime import datetime | |
| REQUIRED_ORDER = [ | |
| "Day", | |
| "Time", | |
| "Talk / slot title", | |
| "Speaker name(s)", | |
| "URL", | |
| "Full timestamp", | |
| "Venue", | |
| "Duration", | |
| "Slot type", | |
| "Speaker bio", | |
| "Speaker picture URL", | |
| ] | |
| def parse_iso(iso_str): | |
| try: | |
| # Handles "2025-09-19T11:00:00+01:00" | |
| return datetime.fromisoformat(iso_str) | |
| except Exception: | |
| return None | |
| def day_name(dt): | |
| return dt.strftime("%A") if dt else "" | |
| def time_24h(dt, fallback=""): | |
| return dt.strftime("%H:%M") if dt else fallback | |
| def pick_name(p): | |
| return p.get("public_name") or p.get("name") or "" | |
| def pick_bio(p): | |
| return p.get("biography") or "" | |
| def pick_avatar(p): | |
| return p.get("avatar") or "" | |
| def extract_rows(data): | |
| rows = [] | |
| schedule = data.get("schedule", {}) | |
| conference = schedule.get("conference", {}) | |
| for day in conference.get("days", []): | |
| day_date = day.get("date", "") | |
| rooms = day.get("rooms", {}) | |
| for room_name, items in rooms.items(): | |
| for it in items: | |
| iso = it.get("date") or "" | |
| dt = parse_iso(iso) | |
| persons = it.get("persons") or [] | |
| names = ", ".join([n for p in persons if (n := pick_name(p))]) | |
| bios = " | ".join([b for p in persons if (b := pick_bio(p))]) | |
| avatars = " | ".join([a for p in persons if (a := pick_avatar(p))]) | |
| row = { | |
| "Day": day_name(dt) or day_date, | |
| "Time": time_24h(dt, it.get("start") or ""), | |
| "Talk / slot title": it.get("title") or "", | |
| "Speaker name(s)": names, | |
| "URL": it.get("url") or it.get("origin_url") or "", | |
| "Full timestamp": iso, | |
| "Venue": it.get("room") or room_name or "", | |
| "Duration": it.get("duration") or "", | |
| "Slot type": it.get("type") or "", | |
| "Speaker bio": bios, | |
| "Speaker picture URL": avatars, | |
| } | |
| sort_key = dt.isoformat() if dt else f"{day_date}T{it.get('start','')}" | |
| rows.append((sort_key, row)) | |
| rows.sort(key=lambda x: x[0]) | |
| return [r for _, r in rows] | |
| def main(): | |
| if len(sys.argv) < 2: | |
| print("Usage: python frab_to_csv.py input.json > output.csv", file=sys.stderr) | |
| sys.exit(1) | |
| with open(sys.argv[1], "r", encoding="utf-8") as f: | |
| data = json.load(f) | |
| rows = extract_rows(data) | |
| writer = csv.DictWriter(sys.stdout, fieldnames=REQUIRED_ORDER) | |
| writer.writeheader() | |
| for r in rows: | |
| writer.writerow(r) | |
| if __name__ == "__main__": | |
| main() |
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