コード例 #1
0
 def extra_state_attributes(self):
     """Return the state attributes."""
     return {
         **readeable_phenomenoms_dict(self.coordinator.data.phenomenons_max_colors),
         ATTR_ATTRIBUTION:
         ATTRIBUTION,
     }
コード例 #2
0
ファイル: Exo_jour9.py プロジェクト: Shynif/Python-Exercices
def test_workflow(city: str) -> None:
    """Test classical workflow usage with the Python library."""
    # Init client
    client = MeteoFranceClient()

    # Search a location from name.
    list_places = client.search_places(city)
    if (len(list_places) > 0) :
        my_place = list_places[0]
    else :
        print("Rien trouvé")
        return ""

    # Fetch weather forecast for the location
    my_place_weather_forecast = client.get_forecast_for_place(my_place)

    # Get the daily forecast
    my_place_daily_forecast = my_place_weather_forecast.daily_forecast

    # Fetch weather alerts.
    if my_place.admin2:
        my_place_weather_alerts = client.get_warning_current_phenomenoms(
            my_place.admin2
        )
        readable_warnings = readeable_phenomenoms_dict(
            my_place_weather_alerts.phenomenons_max_colors
        )

    return [my_place, readable_warnings["Neige-verglas"], my_place_daily_forecast]
コード例 #3
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def test_readeable_phenomenoms_dict() -> None:
    """Test the helper constructing a human readable dictionary for phenomenom."""
    api_list = [
        {"phenomenon_id": 4, "phenomenon_max_color_id": 1},
        {"phenomenon_id": 5, "phenomenon_max_color_id": 1},
        {"phenomenon_id": 3, "phenomenon_max_color_id": 2},
        {"phenomenon_id": 2, "phenomenon_max_color_id": 1},
        {"phenomenon_id": 1, "phenomenon_max_color_id": 3},
    ]
    expected_dictionary = {
        "Inondation": "Vert",
        "Neige-verglas": "Vert",
        "Pluie-inondation": "Vert",
        "Orages": "Jaune",
        "Vent violent": "Orange",
    }

    assert readeable_phenomenoms_dict(api_list) == expected_dictionary
コード例 #4
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def test_workflow(city: str) -> None:
    """Test classical workflow usage with the Python library."""
    # Init client
    client = MeteoFranceClient()

    # Search a location from name.
    list_places = client.search_places(city)
    my_place = list_places[0]

    # Fetch weather forecast for the location
    my_place_weather_forecast = client.get_forecast_for_place(my_place)

    # Get the daily forecast
    my_place_daily_forecast = my_place_weather_forecast.daily_forecast

    # If rain in the hour forecast is available, get it.
    if my_place_weather_forecast.position["rain_product_available"] == 1:
        my_place_rain_forecast = client.get_rain(my_place.latitude, my_place.longitude)
        next_rain_dt = my_place_rain_forecast.next_rain_date_locale()
        if not next_rain_dt:
            rain_status = "No rain expected in the following hour."
        else:
            rain_status = next_rain_dt.strftime("%H:%M")
    else:
        rain_status = "No rain forecast available."

    # Fetch weather alerts.
    if my_place.admin2:
        my_place_weather_alerts = client.get_warning_current_phenomenoms(
            my_place.admin2
        )
        readable_warnings = readeable_phenomenoms_dict(
            my_place_weather_alerts.phenomenons_max_colors
        )

    assert type(my_place_daily_forecast) == list
    assert rain_status
    assert type(readable_warnings) == dict