#!/usr/bin/env python3
import json
from urllib.parse import quote
from urllib.request import urlopen

INFLUX = 'http://localhost:8086'
DB = 'iobroker'

def q(sql):
    url = f'{INFLUX}/query?db={DB}&epoch=ns&q={quote(sql)}'
    with urlopen(url, timeout=30) as r:
        return json.loads(r.read().decode())

def rows(sql):
    d = q(sql)
    s = d['results'][0].get('series', [])
    if not s:
        return []
    return s[0]['values']

from datetime import datetime, timezone, timedelta
TZ = timezone(timedelta(hours=2))

print('=== Starts im April (count) ===')
r = rows("SELECT count(value) FROM brennerstarts WHERE time >= '2026-04-01T00:00:00Z' AND time < '2026-05-01T00:00:00Z'")
print(r)

print('\n=== Laufzeit-Summe April (Stunden) ===')
r = rows("SELECT sum(value) FROM brennerlaufzeit WHERE time >= '2026-04-01T00:00:00Z' AND time < '2026-05-01T00:00:00Z'")
if r:
    print(f'  Summe = {r[0][1]:.1f} s = {r[0][1]/3600:.2f} h')

print('\n=== Pro Tag Starts und Laufzeit (April) ===')
starts = rows("SELECT count(value) FROM brennerstarts WHERE time >= '2026-04-01T00:00:00Z' AND time < '2026-05-01T00:00:00Z' GROUP BY time(1d,-2h) fill(0)")
lauf = rows("SELECT sum(value) FROM brennerlaufzeit WHERE time >= '2026-04-01T00:00:00Z' AND time < '2026-05-01T00:00:00Z' GROUP BY time(1d,-2h) fill(0)")
d_starts = {s[0]: s[1] or 0 for s in starts}
d_lauf = {s[0]: s[1] or 0 for s in lauf}
for ts in sorted(set(list(d_starts) + list(d_lauf))):
    day = datetime.fromtimestamp(ts/1e9, TZ).date()
    st = d_starts.get(ts, 0)
    lf = d_lauf.get(ts, 0) / 3600
    if st or lf:
        print(f'  {day}  Starts={st:3d}  Laufzeit={lf:5.2f}h  Liter={lf*1.89:5.2f}')

print('\n=== verdächtig lange einzelne Laufzeiten > 1h ===')
r = rows("SELECT value FROM brennerlaufzeit WHERE value > 3600 AND time > '2026-03-01T00:00:00Z' ORDER BY time DESC LIMIT 20")
for ts, v in r:
    t = datetime.fromtimestamp(ts/1e9, TZ)
    print(f'  {t.strftime("%Y-%m-%d %H:%M:%S")}  {v:.0f}s = {v/60:.1f}min = {v/3600:.2f}h')

print('\n=== Daily max einzelne Laufzeit (wann >30min?) ===')
r = rows("SELECT max(value) FROM brennerlaufzeit WHERE time >= '2026-04-01T00:00:00Z' AND time < '2026-05-01T00:00:00Z' GROUP BY time(1d,-2h) fill(0)")
for ts, v in r:
    if v and v > 30*60:
        t = datetime.fromtimestamp(ts/1e9, TZ).date()
        print(f'  {t}  max einzel-laufzeit = {v/60:.1f} min')

print('\n=== brennerstarts value-Verteilung April ===')
r = rows("SELECT value FROM brennerstarts WHERE time >= '2026-04-01T00:00:00Z' AND time < '2026-05-01T00:00:00Z'")
vals = [x[1] for x in r]
from collections import Counter
print(f'  Anzahl Zeilen = {len(vals)}, Summe = {sum(vals)}, Counter = {Counter(vals)}')