OBP60v/web.py

"""
Web Interface

Regelmäßiges Abfragen von Daten aus dem Internet
 - NAVTEX
    - DWD
 - Pegelstände
    - pegelonline
    - BSH
 - Wetterinformationen 

TODO
  - Datenbanktabelle um feld bshid erweitern um mehrere Pegel gleichzeitig
    verarbeiten zu können

"""
import os
import http.client
import ssl
import json
import sqlite3
from datetime import datetime, timedelta
from gi.repository import GLib

class WebInterface():

    pegeldata = {
       'Amrum': '631P',
       'Borkum': '101P',
       'Büsum': '505P',
       'Cuxhaven': '506P',
       'Dagebüll': '635P',
       'Dwarsgat': '737P',
       'Eider Sperrwerk': '664P',
       'Emden': '507P',
       'Helgoland': '509A',
       'Hörnum, Sylt': '624P',
       'Hooksiel': '764B',
       'Hooge': '636F',
       'Husum': '510P',
       'Leer': '806P',
       'List, Sylt': '617P',
       'Norderney': '111P',
       'Papenburg': '814P',
       'Scharhörn': '677C',
       'Schulau': '714P',
       'St. Pauli': '508P',
       'Wangerooge': '754P'
    }

    def __init__(self, logger, cfg):
        self.log = logger
        dbpath = os.path.join(cfg['histpath'], "tidedata.db")
        try:
            self.conn = sqlite3.connect(dbpath)
            self.cur = self.conn.cursor()
        except:
            self.log.error(f"Failed to open tide database: {dbpath}")
            return
        # Datenbank erstellen wenn nicht vorhanden
        sql = "SELECT name FROM sqlite_master WHERE type='table' AND name='station'"
        self.cur.execute(sql)
        if self.cur.fetchone() == None:
            sql = ("CREATE TABLE IF NOT EXISTS station ("
                   "uuid TEXT PRIMARY KEY NOT NULL,"
                   "name TEXT)"
                  )
            self.cur.execute(sql)
            sql = ("CREATE TABLE IF NOT EXISTS data ("
                   "timestamp TEXT PRIMARY KEY NOT NULL,"
                   "astro NUMBER NOT NULL,"
                   "forecast NUMBER,"
                   "measurement NUMBER)"
                  )
            self.cur.execute(sql)
            self.log.info(f"Created tide database: {dbpath}")

        self.pegelid = 'Schulau'
        self.bshid = self.pegeldata[self.pegelid]

        # Tidendaten (Rahmen)
        self.tide = {
            'station': None,
            'area': None,
            'MHW': None,
            'MNW': None,
            'warning': None,
            'forecast_ts': None
        }

        # In der Konfiguration werden Minuten angegeben
        #GLib.timeout_add_seconds(cfg['tide_refresh'] * 60, self.on_timer)
        GLib.timeout_add_seconds(60 * 60, self.on_timer)
        self.running = True
        self.log.info(f"Web interface started")

    def __del__(self):
        self.conn.close()

    def on_timer(self):
        """
        Data handling
        """
        self.refresh()
        self.housekeeping()
        return True

    def bsh_get_data(self, local=False):
        """
        Webseite auslesen
        """
        if local:
            # Für Tests um nicht permanent die Webseite abzufragen
            with open(f"/tmp/DE__{self.bshid}.json", "r") as fh:
                content = fh.read()
        else:
            ssl_context = ssl.create_default_context()
            conn = http.client.HTTPSConnection("wasserstand-nordsee.bsh.de", 443, context=ssl_context)
            url = f"https://wasserstand-nordsee.bsh.de/data/DE__{self.bshid}.json"

            try:
                conn.request("GET", url)
                response = conn.getresponse()
                if response.status == 200:
                    content = response.read().decode()
                else:
                    print(f"Error: {response.status}")
                    return []
            except http.client.HTTPException as e:
                self.log.warning(f"HTTP error occurred: {e}")
                return []
            except ssl.SSLError as ssl_error:
                self.log.warning(f"SSL error occurred: {ssl_error}")
                return []
            finally:
                conn.close()
        return content

    def refresh(self):
        self.log.info("Data refresh")
        data = self.bsh_get_data(False)
        tmpfile = open(f"/tmp/DE__{self.bshid}.json", "w")
        tmpfile.write(data)
        tmpfile.close()
        wvdata = json.loads(data)
        sql = "INSERT OR REPLACE INTO data (timestamp, astro, forecast, measurement) VALUES (?, ?, ?, ?)"
        for wv in wvdata["curve_forecast"]["data"]:
            self.cur.execute(sql, (wv['timestamp'], wv['astro'], wv['curveforecast'], wv['measurement']))
        self.conn.commit()
 
        self.tide['station'] = wvdata["station_name"]
        self.tide['area'] = wvdata["area"]
        self.tide['MHW'] = wvdata["MHW"] # Mittleres Hochwasser
        self.tide['MNW'] = wvdata["MNW"] # Mittleres Niedrigwasser
        self.tide['warning'] = wvdata["warning"]
        self.tide['forecast_ts'] = wvdata["creation_forecast"]

        # Zeitpunkte und Höhen der beiden nächsten Hoch- und Niedrigwasser
        # wvdata["hwnwforecast"]["data"]["event"] HW / NW
        # wvdata["hwnwforecast"]["data"]["timestamp"] 
        # wvdata["hwnwforecast"]["data"]["value"]
 
    def housekeeping(self):
        self.log.info("Housekeeping")

    def set_pegel(self, pegelid):
        self.pegelid = pegelid
        self.bshid = self.pegeldata[self.pegelid]

    def set_timestamp(self, vorlauf, dauer):
        """
        Manuell setzen, damit verschiedene Aufrufe nacheinander auch
        auf den selben Zeitstempel zurückgreifen
        """
        self.current_ts = datetime.now().replace(minute=0, second=0, microsecond=0)
        self.start_ts = self.current_ts - timedelta(hours=vorlauf)
        self.end_ts = self.current_ts + timedelta(hours=dauer)

    # TODO
    # Stationsdaten
    # Berechnungszeitpunkt
    # Warnhinweise (z.B. Sturmflut)

    def get_tide(self):
        # 12 Stunden Vorhersage ab der aktuelle Stunde
        # Vorlauf sind 4 Stunden
        # TODO Aufbereiten, daß nur eine einfache Liste zurückgeliefert wird
        sql = "select forecast from data where timestamp > ? and timestamp < ?"
        self.cur.execute(sql, (self.start_ts, self.end_ts))
        return [x[0] for x in self.cur.fetchall()]

    def get_tide_minmax(self):
        # Liefert ein Tupel mit min, max zurück
        sql = "select min(forecast), max(forecast) from data where timestamp > ? and timestamp < ?"
        self.cur.execute(sql, (self.start_ts, self.end_ts))
        return self.cur.fetchone()