nanobot: 2026-09-17 18:43:01

scripts/plot_ollama_weekly_usage.py

@@ -0,0 +1,48 @@
+#!/usr/bin/env python3
+"""Plot weekly Ollama Cloud usage: x = days since start of weekly window."""
+
+import sqlite3
+from datetime import datetime, timedelta, timezone
+
+import matplotlib
+matplotlib.use("Agg")
+import matplotlib.pyplot as plt
+
+DB = "db/ollama_usage.sqlite"
+OUT = "results/ollama_weekly_usage.png"
+
+
+def parse(ts: str) -> datetime:
+    return datetime.fromisoformat(ts)
+
+
+def window_start(d: datetime) -> datetime:
+    """Monday 00:00 UTC of the week containing d."""
+    monday = d - timedelta(days=d.weekday())
+    return monday.replace(hour=0, minute=0, second=0, microsecond=0)
+
+
+con = sqlite3.connect(DB)
+rows = con.execute(
+    "SELECT ts, weekly_usage FROM samples ORDER BY ts"
+).fetchall()
+con.close()
+
+samples = [(parse(r[0]), r[1] * 100) for r in rows]
+
+start = window_start(samples[0][0])
+x = [(t - start).total_seconds() / 86400 for t, _ in samples]
+y = [u for _, u in samples]
+
+fig, ax = plt.subplots(figsize=(14, 6), layout="constrained")
+ax.plot(x, y, color="#2563eb", lw=1.5, marker=".", ms=3)
+ax.fill_between(x, y, alpha=0.15, color="#2563eb")
+ax.set_title("Ollama Cloud — spotřeba týdenního limitu")
+ax.set_xlabel(f"dny od začátku okna (den 0 = {start.strftime('%d.%m.')} 00:00 UTC)")
+ax.set_ylabel("využití týdenního limitu (%)")
+ax.set_xticks(range(int(min(x)) + 1, int(max(x)) + 1))
+ax.set_xlim(min(x) - 0.1, max(x) + 0.1)
+ax.grid(True, alpha=0.3)
+
+fig.savefig(OUT, dpi=150)
+print(f"saved {OUT}, {len(samples)} samples, window start {start.isoformat()}")