NEWS
VIS-timeandweather - yahoo - veränderte API ab 4.1.2019
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Hallo Zusammen,
Yahoo hat die bestehenden Wetter API's in Rente geschickt.
****Important EOL Notice: As of Thursday, Jan. 3, 2019, the weather.yahooapis.com and query.yahooapis.com for Yahoo Weather API will be retired.
To continue using our free Yahoo Weather APIs, use <url url="https://weather-ydn-yql.media.yahoo.com/forecastrss for credentials to onboard to this free Yahoo Weather API service.****
Es geht weiter unter den oben genannten URL's, allerdings wird nun um an die Daten heranzukommen ein API Key notwendig.
Hab noch nicht geschaut was die Bedingungen sind um einen Schlüssel zu erhalten.
Herzliche Grüße
Equilora aka Harald
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@equilora:Hab noch nicht geschaut was die Bedingungen sind um einen Schlüssel zu erhalten. `
Der Schlüssel ist ja das Eine, den kann man sich ja als User oder Entwickler besorgen, falls er kostenfrei ist. Die Arbeit ist wohl eher die Anpassung des Adapters.
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Jop, ist nicht einfach damit getan die URL's im Widget anzupassen, da muss die gesamte Anmeldemimik und Speichermimik angepasst werden.
Sieht danach aus, das die Dienste nach Fernost gewandert sind…..
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Sehr schade. Fande es so charmant, dass man da gleich ein widget für hatte. Bei Daswetter gibt es sowas ja nicht oder?
Möchte gerne die nächsten 2 Tage untereinander haben und für Smartphone ausgelegt.
LG Micha
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Servus Micha,
kannst Du austauchen gegen den yr.no adapter…. gleicher Style wie das Yahoo Widget, nur etwas mehr geklicke bei der Einrichtung in VIS, da Du die Datenpunkte dem Widget Custom Wheater erst noch zurordnen musst.
Wie gut die Vorhersagen aus Norwegen für Deine Region in D sind, kann ich leider nicht "vorhersagen".
Sehr schade. Fande es so charmant, dass man da gleich ein widget für hatte. Bei Daswetter gibt es sowas ja nicht oder?
Möchte gerne die nächsten 2 Tage untereinander haben und für Smartphone ausgelegt.
LG Micha `
Herzliche Grüße
Equilora aka Harald
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Hi,
naja so wirklich klappt das nicht oder muss ich da mehr anpassen. Hier ist kein Tornado :D
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"g_last_change": false, "visibility-cond": "==", "visibility-val": 1, "visibility-groups-action": "hide", "signals-cond-0": "==", "signals-val-0": true, "signals-icon-0": "/vis/signals/lowbattery.png", "signals-icon-size-0": 0, "signals-blink-0": false, "signals-horz-0": 0, "signals-vert-0": 0, "signals-hide-edit-0": false, "signals-cond-1": "==", "signals-val-1": true, "signals-icon-1": "/vis/signals/lowbattery.png", "signals-icon-size-1": 0, "signals-blink-1": false, "signals-horz-1": 0, "signals-vert-1": 0, "signals-hide-edit-1": false, "signals-cond-2": "==", "signals-val-2": true, "signals-icon-2": "/vis/signals/lowbattery.png", "signals-icon-size-2": 0, "signals-blink-2": false, "signals-horz-2": 0, "signals-vert-2": 0, "signals-hide-edit-2": false, "lc-type": "last-change", "lc-is-interval": true, "lc-is-moment": false, "lc-format": "", "lc-position-vert": "top", "lc-position-horz": "right", "lc-offset-vert": 0, "lc-offset-horz": 0, "lc-font-size": "12px", "lc-font-family": "", "lc-font-style": "", "lc-bkg-color": "", "lc-color": "", "lc-border-width": "0", "lc-border-style": "", "lc-border-color": "", "lc-border-radius": 10, "lc-zindex": 0, "html_prepend": "Feierabend" }, "style": { "left": "135px", "top": "510px", "color": "white", "text-align": "left", "font-family": "\"Arial Black\", Gadget, sans-serif", "font-size": "small", "font-weight": "normal", "width": "80px", "height": "18px", "z-index": "25" }, "widgetSet": "basic" }, "e00010": { "tpl": "tplTwWeather", "data": { "g_fixed": false, "g_visibility": false, "g_css_font_text": false, "g_css_background": false, "g_css_shadow_padding": false, "g_css_border": false, "g_gestures": false, "g_signals": false, "g_last_change": false, "visibility-cond": "==", "visibility-val": 1, "visibility-groups-action": "hide", "signals-cond-0": "==", "signals-val-0": true, "signals-icon-0": "/vis/signals/lowbattery.png", "signals-icon-size-0": 0, "signals-blink-0": false, "signals-horz-0": 0, "signals-vert-0": 0, "signals-hide-edit-0": false, "signals-cond-1": "==", "signals-val-1": true, "signals-icon-1": "/vis/signals/lowbattery.png", "signals-icon-size-1": 0, "signals-blink-1": false, "signals-horz-1": 0, "signals-vert-1": 0, "signals-hide-edit-1": false, "signals-cond-2": "==", "signals-val-2": true, "signals-icon-2": "/vis/signals/lowbattery.png", "signals-icon-size-2": 0, "signals-blink-2": false, "signals-horz-2": 0, "signals-vert-2": 0, "signals-hide-edit-2": false, "lc-type": "last-change", "lc-is-interval": true, "lc-is-moment": false, "lc-format": "", "lc-position-vert": "top", "lc-position-horz": "right", "lc-offset-vert": 0, "lc-offset-horz": 0, "lc-font-size": "12px", "lc-font-family": "", "lc-font-style": "", "lc-bkg-color": "", "lc-color": "", "lc-border-width": "0", "lc-border-style": "", "lc-border-color": "", "lc-border-radius": 10, "lc-zindex": 0, "language": "de", "city": "Altwarmbüchen", "temperature-0-oid": "yr.0.forecast.day0.temperatureActual", "humidity-0-oid": "yr.0.forecast.day0.precipitation", "icon-0-oid": "yr.0.forecast.day0.icon", "temperature-min-0-oid": "yr.0.forecast.day0.temperatureMin", "temperature-max-0-oid": "yr.0.forecast.day0.temperatureMax", "wind-speed-0-oid": "yr.0.forecast.day0.windSpeed", "wind-dir-0-oid": "yr.0.forecast.day0.windDirection", "condition-0-oid": "", "units_speed": "", "g_tomorrow": false, "g_aftertomorrow": false, "g_in2days": false, "g_in3days": false, "g_in4days": false, "g_in5days": false }, "style": { "left": "80px", "top": "120px", "width": "201px", "height": "310px" }, "widgetSet": "timeandweather" } }, "rerender": false, "filterList": [], "name": "00_Main" }
LG Micha
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Guck mal in der yr.no Adapter Instanz…. (nicht im Widget)
da sollte z.B "Germany/Bavaria/Freising" drinstehen.... im Moment sieht es hier gut aus, hoffe da kommt weder Taifun noch Hurrikan... :mrgreen:
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Hmm so steht es bei mir drin.
Germany/Lower_Saxony/Isernhagen/
Edit: Hatte Text ID vergessen.
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@equilora:kannst Du austauchen gegen den yr.no adapter…. `
yr.no ist meiner Meinung nach nicht viel genauer, als würfeln. Hatte den Adapter laufen und war mit den angezeigten Werten extrem unzufrieden. Da wich alleine die vorhergesagte Temperatur um mehrere Grad vom tatsächlichen Wert ab.
Aus meiner Sicht kann man yr.no zumindest für den Raum Stuttgart in die Tonne treten.
Ich nutze seit einiger Zeit daswetter und bin ziemlich zufrieden damit. Allerdings ist es nicht so komfortabel einzurichten, wie das YahooWeather des timeandweahter-Adapters. Insbesondere, wenn man das Wetter von mehreren verschiedenen Orten anzeigen möchte.
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@dtp:Aus meiner Sicht kann man yr.no zumindest für den Raum Stuttgart in die Tonne treten. `
Beobachten das ein wenig seit mehr als einer Woche über Historienpunkte, die haben halt weniger Wetterstationen in ihrem Modell als Yahoo,
an unserer Wetterstation im Augenblick -3 Grad über yr.no werden -8 Grad gemeldet.
Das ist generell ein Thema, wenn man keine eigene Wetterstation hat und keine eigenen weiteren Sensoren selbst hat und diese betreibt.
Wir sind in der Nähe vom Flughafen MUC (11 Kilometer), selbst hier wenn wir die Wetterstation von denen Abfragen ergeben sich teilweise erhebliche Abweichungen von den eigenen Werten.
Im Umfeld Regenmeldungen, bauen wir mittlerweile eigene Regensensoren über LORA auf, um auf den Lawi Aussenflächen die Daten selbst zu ermitteln und Schneiderfahrten mit dem Traktor und den Erntemaschinen zu vermeiden, z.B wenn es 15 Kilometer weiter regnet, aber am Betriebshauptgelände alles trocken ist.
Es gibt viele landwirtschaftliche Wetterdienste, die meisten kaufen nur die "ungenauen" Daten zu und verkaufen sie neu verpackt über LaWi Apps weiter, zumindest melden das einige aus der Forschungsgruppe, welche die Schwerpunkte in der Bewirtschaftung von Feldern haben.
Also Frosch ins Glas und ne WebCam drauf…. :lol: :lol:
Scherz beseite, selbst die hauseigene Satgebundene Wetterstation zeigt große Abweichungen in den Vorhersagemodellen, wie in den aktuellen Wetterdaten. Diese Wetterleute leben halte von der Anzahl der eigenen Stationen und den Privatleuten welche ihre Daten bereit sind freizustellen.
Vor einigen Jahren gab es OneWire Wheater, da konnte man von Dallas Semiconductor sehr preiswert eine einge Wetterstation kaufen und die Daten ins Netz stellen, ähnlich dem Luftdaten Projekt.
Da wir mit der Uni zusammenarbeiten, gibt es Zugänge zum Forschungsnetz und auch Bestrebungen die Landwirtschaftlichen Messdaten aus den Betrieben in solche Modelle einzubinden, um genauere Istdaten zu bekommen.
Sensoren mit Anbindung über LowPower und LongRange Techniken bauen wir seit einiger Zeit in IoBroker über eigene Adapter ein :shock:
Herzliche Grüße
Equilora aka Harald
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