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f4fa3df73a
- Regenberechnung nutzt neuen API-Endpunkt statt kumulativem Rohzähler - days-Parameter relativ zu heute: funktioniert korrekt auch bei Aufruf mitten im Monat (z.B. 5.6. → zeigt trotzdem Mai komplett) - Erster Tag des Folgemonats weiterhin im Chart sichtbar Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
238 lines
8.3 KiB
Python
238 lines
8.3 KiB
Python
#!/usr/bin/env python3
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"""Erstellt einen kombinierten Wetterbericht für den letzten Kalendermonat."""
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import os
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import smtplib
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import tempfile
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from datetime import datetime, timedelta, timezone
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from email.mime.image import MIMEImage
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from email.mime.multipart import MIMEMultipart
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from email.mime.text import MIMEText
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import matplotlib.dates as mdates
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import matplotlib.patches as mpatches
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import matplotlib.pyplot as plt
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import requests
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from dotenv import load_dotenv
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load_dotenv()
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VERSION = os.getenv("APP_VERSION", "?")
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API_BASE_URL = os.getenv("API_BASE_URL", "https://stwwetter.fuerst-stuttgart.de/api")
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MAIL_SERVER = os.getenv("MAIL_SERVER")
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MAIL_PORT = int(os.getenv("MAIL_PORT", "587"))
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MAIL_USER = os.getenv("MAIL_USER")
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MAIL_PASSWORD = os.getenv("MAIL_PASSWORD")
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MAIL_FROM = os.getenv("MAIL_FROM")
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MAIL_TO = [a.strip() for a in os.getenv("MAIL_TO", "").split(",") if a.strip()]
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MAIL_SUBJECT = os.getenv("MAIL_SUBJECT", "Wetterbericht letzter Monat")
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MONTHS_DE = [
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"Januar", "Februar", "März", "April", "Mai", "Juni",
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"Juli", "August", "September", "Oktober", "November", "Dezember",
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]
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plt.rcParams.update({
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"figure.facecolor": "#f8f9fa",
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"axes.facecolor": "#ffffff",
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"axes.grid": True,
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"grid.alpha": 0.4,
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"axes.spines.top": False,
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"axes.spines.right": False,
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"font.size": 11,
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})
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def last_month_range() -> tuple[datetime, datetime, str]:
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today = datetime.now(timezone.utc)
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first_of_this = today.replace(day=1, hour=0, minute=0, second=0, microsecond=0)
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start = (first_of_this - timedelta(days=1)).replace(day=1, hour=0, minute=0, second=0, microsecond=0)
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end = first_of_this + timedelta(days=1) # inkl. 1. Folgemonat
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label = f"{MONTHS_DE[start.month - 1]} {start.year}"
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return start, end, label
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def fetch(path: str, params: dict) -> list:
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url = f"{API_BASE_URL}{path}"
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resp = requests.get(url, params=params, timeout=30)
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resp.raise_for_status()
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return resp.json()
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def parse_dt(s: str) -> datetime:
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return datetime.fromisoformat(s.replace("Z", "+00:00"))
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def _data_temp_minmax(start: datetime, end: datetime):
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data = fetch("/weather/daily-aggregated-range", {
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"start": start.isoformat(), "end": end.isoformat(),
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})
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dates = [parse_dt(d["datetime"]) for d in data]
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t_min = [d["min_temperature"] for d in data]
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t_max = [d["max_temperature"] for d in data]
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return dates, t_min, t_max
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def _data_temp_hourly(start: datetime, end: datetime):
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data = fetch("/weather/hourly-aggregated-range", {
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"start": start.isoformat(), "end": end.isoformat(),
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})
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dates = [parse_dt(d["datetime"]) for d in data]
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temps = [d["temperature"] for d in data]
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return dates, temps
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def _data_rain_daily(start: datetime, end: datetime):
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today = datetime.now(timezone.utc).replace(hour=0, minute=0, second=0, microsecond=0)
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days = min((today - start).days + 2, 365)
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data = fetch("/weather/rain-daily", {"days": days})
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pairs = []
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for d in data:
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day_dt = parse_dt(d["date"]).replace(hour=0, minute=0, second=0, microsecond=0)
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if start <= day_dt < end:
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pairs.append((day_dt, round(d["total_rain"], 1)))
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pairs.sort()
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if not pairs:
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return [], []
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dates, rain = zip(*pairs)
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return list(dates), list(rain)
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def create_combined_chart(start: datetime, end: datetime, label: str) -> bytes:
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dates_mm, t_min, t_max = _data_temp_minmax(start, end)
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dates_h, temps = _data_temp_hourly(start, end)
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dates_r, rain = _data_rain_daily(start, end)
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fig, axes = plt.subplots(3, 1, figsize=(13, 16))
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fig.suptitle(f"Wetterbericht – {label}", fontsize=15, fontweight="bold", y=0.985)
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# --- Chart 1: Tages-Min / Tages-Max ---
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ax = axes[0]
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ax.plot(dates_mm, t_max, color="#e05c2a", linewidth=2, marker="o",
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markersize=4, label="Tages-Maximum")
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ax.plot(dates_mm, t_min, color="#2a7be0", linewidth=2, marker="o",
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markersize=4, label="Tages-Minimum")
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ax.fill_between(dates_mm, t_min, t_max, alpha=0.12, color="#888888")
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ax.set_title("Temperaturverlauf (Tages-Min / Tages-Max)", fontweight="bold", pad=10)
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ax.set_ylabel("Temperatur (°C)")
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ax.set_xlim(start - timedelta(hours=12), end + timedelta(hours=12))
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ax.xaxis.set_major_formatter(mdates.DateFormatter("%d.%m."))
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ax.xaxis.set_major_locator(mdates.DayLocator(interval=3))
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plt.setp(ax.get_xticklabels(), rotation=0, ha="center")
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ax.legend(framealpha=0.8)
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# --- Chart 2: Stundenmittel ---
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ax = axes[1]
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ax.plot(dates_h, temps, color="#2a7be0", linewidth=1.5, label="Stundenmittel")
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ax.set_title("Temperaturverlauf (Stundenmittel)", fontweight="bold", pad=10)
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ax.set_ylabel("Temperatur (°C)")
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ax.set_xlim(start - timedelta(hours=12), end + timedelta(hours=12))
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ax.xaxis.set_major_formatter(mdates.DateFormatter("%d.%m."))
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ax.xaxis.set_major_locator(mdates.DayLocator(interval=3))
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plt.setp(ax.get_xticklabels(), rotation=0, ha="center")
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ax.legend(framealpha=0.8)
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# --- Chart 3: Niederschlag ---
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ax = axes[2]
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colors = ["#2a7be0" if r > 0 else "#ccddee" for r in rain]
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ax.bar(dates_r, rain, color=colors, width=0.7, label="Niederschlag")
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total = sum(rain)
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ax.set_title(f"Niederschlag pro Tag (Summe: {total:.1f} mm)",
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fontweight="bold", pad=10)
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ax.set_ylabel("Niederschlag (mm)")
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ax.set_xlim(start - timedelta(hours=12), end + timedelta(hours=12))
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ax.xaxis.set_major_formatter(mdates.DateFormatter("%d.%m."))
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ax.xaxis.set_major_locator(mdates.DayLocator(interval=3))
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plt.setp(ax.get_xticklabels(), rotation=0, ha="center")
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ax.legend(framealpha=0.8)
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fig.tight_layout(rect=[0.015, 0.055, 0.985, 0.975])
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# Rahmen um die gesamte Figure
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border = mpatches.FancyBboxPatch(
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(0.008, 0.008), 0.984, 0.984,
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boxstyle="square,pad=0",
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linewidth=2, edgecolor="#999999", facecolor="none",
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transform=fig.transFigure, clip_on=False,
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)
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fig.add_artist(border)
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# Footer: links E-Mail, Mitte Watermark, rechts Version + Datum
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footer_y = 0.030
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footer_kw = dict(va="center", fontsize=9, color="#999999",
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transform=fig.transFigure)
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build_date = datetime.now(timezone.utc).strftime("%d.%m.%Y")
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fig.text(0.022, footer_y, "mailto:rexfue@gmail.com",
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ha="left", **footer_kw)
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fig.text(0.5, footer_y, "Wetterstation der Sternwarte Welzheim",
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ha="center", **footer_kw)
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fig.text(0.978, footer_y, f"V {VERSION} · {build_date}",
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ha="right", **footer_kw)
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with tempfile.NamedTemporaryFile(suffix=".png", delete=False) as f:
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fig.savefig(f.name, dpi=150, bbox_inches="tight")
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path = f.name
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plt.close(fig)
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with open(path, "rb") as f:
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data = f.read()
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os.unlink(path)
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return data
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def send_email(png: bytes, label: str) -> None:
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if not all([MAIL_SERVER, MAIL_USER, MAIL_PASSWORD, MAIL_FROM, MAIL_TO]):
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print("E-Mail-Konfiguration unvollständig – Mail wird nicht gesendet.")
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return
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# multipart/related: HTML + CID-Bild werden als Einheit behandelt
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related = MIMEMultipart("related")
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msg = MIMEMultipart("mixed")
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msg["Subject"] = f"{MAIL_SUBJECT} – {label}"
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msg["From"] = MAIL_FROM
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msg["To"] = ", ".join(MAIL_TO)
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msg.attach(related)
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body = MIMEText(
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f"<html><body>"
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f"<h2>Wetterbericht – {label}</h2>"
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f'<img src="cid:chart@weather" style="max-width:100%;"/>'
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f"</body></html>",
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"html",
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)
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related.attach(body)
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img = MIMEImage(png, name="wetterbericht.png")
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img.add_header("Content-ID", "<chart@weather>")
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img.add_header("Content-Disposition", "inline", filename="wetterbericht.png")
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related.attach(img)
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with smtplib.SMTP(MAIL_SERVER, MAIL_PORT) as smtp:
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smtp.ehlo()
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smtp.starttls()
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smtp.login(MAIL_USER, MAIL_PASSWORD)
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smtp.send_message(msg)
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print(f"Mail gesendet an: {', '.join(MAIL_TO)}")
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def main() -> None:
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start, end, label = last_month_range()
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print(f"Hole Wetterdaten für {label} ({start.date()} – {end.date()}) …")
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png = create_combined_chart(start, end, label)
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os.makedirs("images", exist_ok=True)
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path = os.path.join("images", "wetterbericht.png")
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with open(path, "wb") as f:
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f.write(png)
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print(f"Diagramm erstellt → {path}")
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send_email(png, label)
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if __name__ == "__main__":
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main()
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