AI-Agent
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Image bauen und in die Registry schieben / build (push) Successful in 6s
- tools/screenshot.sh: konsolidiert (--view today|history, --size, --out, --full); startet eigenen Server mit temporaerem Zustand, befuellt eine Session bzw. importiert Demo-Daten, schießt den Screenshot, raeumt auf - tools/gen_demo.py: Demo-Daten-Generator (Pfade relativ zum Repo) - tools/README.md: Nutzung
179 lines
6.5 KiB
Python
Executable File
179 lines
6.5 KiB
Python
Executable File
#!/usr/bin/env python3
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"""Erzeugt demo-data.json (trainingsplan-export-v2) mit 12 Wochen realistischem
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Verlauf: Plateau-Phasen, Deload-Woche, ausgelassene Tage, Reps-Streuung,
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gelegentlich nicht abgehakte Saetze und Notizen - statt glattgebuegelter
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Steigerung."""
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import json
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import os
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import random
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from datetime import date, timedelta
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BASE = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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CFG = json.load(open(f"{BASE}/config.json", encoding="utf-8"))
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gym = next(a for a in CFG["activities"] if a["id"] == "gym")
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rng = random.Random(42)
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WEEK_COUNT = 12
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WEEKS = ["Push", "Pull", "Legs"]
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def rep_value(target):
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if not target:
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return "10"
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lo = int(target.split("-")[0])
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hi = int(target.split("-")[1]) if "-" in target else lo
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return (lo + hi) // 2
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def week_dates():
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"""Montag/Mittwoch/Freitag; die letzte Woche endet VOR heute (alles Vergangenheit)."""
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today = date.today()
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last_mon = today - timedelta(days=(today.weekday() % 7) + 7)
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out = []
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for week in range(WEEK_COUNT):
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base = last_mon - timedelta(weeks=WEEK_COUNT - 1 - week)
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out.append([base, base + timedelta(days=2), base + timedelta(days=4)])
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return out
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def set_weight(base, session_idx, week_idx):
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"""Realistische Gewichtskurve: Plateau-Phasen + Deload in Woche 8."""
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w = base
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progress = session_idx // 2 # alle zwei Sessions +1 Stufe
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# Uebung-spezifische Rate: grosse Lifts 2.5er-Schritte, kleine 1.25er
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step = 2.5 if base >= 20 else 1.25
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w += step * progress
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# Plateau: bei manchen Sessions bleibt das Gewicht trotz Fortschritt
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if rng.random() < 0.18:
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w -= step
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# Deload-Woche (Woche 8, idx 7): -12%
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if week_idx == 7:
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w = round(w * 0.88 / step) * step
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return max(0, round(w / step) * step)
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def build_gym_session(sid, d, day_key, day_cfg, session_idx, week_idx, note):
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entries = []
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for ex in day_cfg["exercises"]:
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base = float(ex.get("startKg") or 0)
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w = set_weight(base, session_idx, week_idx)
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cfg = ex["sets"]
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count = len(cfg) if isinstance(cfg, list) else int(cfg)
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if week_idx == 7:
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count = max(1, count - 1) # Deload: ein Satz weniger
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reps_t = rep_value(ex.get("reps") or "")
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for i in range(count):
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reps = max(4, reps_t + rng.choice([-2, -1, 0, 0, 0, 1]))
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done = 1
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weight = f"{w:g}"
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# Letzter Satz haengt mal (weniger Reps), selten ein Satz ausgelassen
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if i == count - 1 and rng.random() < 0.15:
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reps = max(3, reps - 2)
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if rng.random() < 0.05:
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done = 0
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entries.append({
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"exercise": f"{day_key}/{ex['name']}", "sort": i,
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"weight": weight, "reps": str(reps), "done": done,
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})
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return {
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"id": sid, "activity": "gym", "day": day_key,
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"date": d.isoformat(),
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"start_time": rng.choice(["17:45", "18:00", "18:15", "19:00"]),
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"end_time": rng.choice(["18:50", "19:10", "19:20", "20:05"]),
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"note": note, "fields": {}, "status": "done", "entries": entries,
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}
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def build_run(sid, d, idx):
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km = round(rng.uniform(4.0, 7.2), 1)
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pace = rng.uniform(5.9, 7.1) # min/km
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pm, ps = int(pace), int(round((pace - int(pace)) * 60))
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minutes = round(km * pace)
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return {
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"id": sid, "activity": "run", "day": "", "date": d.isoformat(),
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"start_time": rng.choice(["07:00", "07:15", "18:30"]),
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"end_time": "08:00", "note": rng.choice(["", "", "Lockerer Lauf",
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"Tempo-Runde", "Regen"]),
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"fields": {
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"distanceKm": f"{km:.1f}",
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"minutes": str(minutes),
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"pacePerKm": f"{pm}:{ps:02d}",
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"heartRate": str(rng.randint(140, 166)),
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"elevation": str(rng.randint(10, 55)),
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},
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"status": "done", "entries": [],
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}
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def build_ride(sid, d, idx):
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km = rng.randint(14, 30)
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speed = rng.uniform(20.5, 25.5)
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minutes = round(km / speed * 60)
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return {
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"id": sid, "activity": "ride", "day": "", "date": d.isoformat(),
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"start_time": "09:00", "end_time": "10:00",
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"note": rng.choice(["", "Ausfahrt", "Mit Gegenwind"]),
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"fields": {
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"distanceKm": str(km), "minutes": str(minutes),
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"avgSpeed": f"{speed:.1f}",
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"heartRate": str(rng.randint(132, 158)),
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"elevation": str(rng.randint(45, 130)),
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},
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"status": "done", "entries": [],
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}
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def main():
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dates = week_dates()
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days = {d["key"]: d for d in gym["cycle"]["days"]}
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sessions = []
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sid = 1
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notes = {
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"Push": ["", "", "Brust fiel schwer", "Fokus Form, Kontrolle", ""],
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"Pull": ["", "Ruecken verkrampft", "", "Zugkraft gut", ""],
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"Legs": ["", "", "Deload: leichter", "Beine schwer, trotzdem durch", ""],
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}
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skipped = {(2, 0), (5, 2), (7, 0), (10, 1)} # Woche, Tag-Index (Mo/Di/Fr=0/1/2)
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for week in range(WEEK_COUNT):
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for di, day_key in enumerate(WEEKS):
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if (week, di) in skipped:
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continue
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d = dates[week][di]
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note = rng.choice(notes[day_key])
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sid_s = 0
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for s in sessions:
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if s["day"] == day_key:
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sid_s += 1
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sessions.append(build_gym_session(sid, d, day_key, days[day_key],
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sid_s, week, note))
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sid += 1
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# Cardio: Mo abends laufen, So manchmal Fahrt
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sessions.append(build_run(sid, dates[week][0] + timedelta(days=0), week))
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sid += 1
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if rng.random() < 0.3:
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sessions.append(build_ride(sid, dates[week][2] + timedelta(days=2), week))
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sid += 1
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doc = {
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"format": "trainingsplan-export-v2",
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"exported_at": date.today().isoformat() + "T00:00:00",
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"config": CFG,
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"sessions": sessions,
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}
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out = f"{BASE}/demo-data.json"
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with open(out, "w", encoding="utf-8") as f:
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json.dump(doc, f, ensure_ascii=False, indent=1)
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acts = {}
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for s in sessions:
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acts[s["activity"]] = acts.get(s["activity"], 0) + 1
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print(f"{out}: {len(sessions)} Sessions, {acts}")
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print("Zeitraum:", min(s["date"] for s in sessions), "bis",
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max(s["date"] for s in sessions))
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notes_n = sum(1 for s in sessions if s["note"])
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undone = sum(1 for s in sessions for e in s["entries"] if not e["done"])
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print("mit Notiz:", notes_n, "| nicht abgehakte Saetze:", undone)
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if __name__ == "__main__":
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main() |