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final dashboard commit

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This commit is contained in:
giusber2005 2025-08-02 08:07:31 +02:00
parent 76b5c25fee
commit 99e6901655
2 changed files with 49 additions and 48 deletions
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4
PlantDashboard/main_dashboard.py
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@ -415,6 +415,7 @@ class PlantGrowthDashboard:
params['ambient_mode'] = self.ambient_mode.get() params['ambient_mode'] = self.ambient_mode.get()
current_mode = self.ambient_mode.get() current_mode = self.ambient_mode.get()
happy_data = 0
if current_mode == "open": if current_mode == "open":
happy_data = self.happyMeteo.openMeteoCall(days_difference) happy_data = self.happyMeteo.openMeteoCall(days_difference)
@ -432,6 +433,9 @@ class PlantGrowthDashboard:
'end_date': self.calendar.get_date().isoformat() 'end_date': self.calendar.get_date().isoformat()
} }
if current_mode == "open":
submission_data['meteoForecast'] = happy_data
#Remove plant_info_text #Remove plant_info_text
self.plant_info_text.delete(1.0, tk.END) self.plant_info_text.delete(1.0, tk.END)

39
PlantDashboard/plant_meteo.py
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@ -48,10 +48,6 @@ class HappyMeteo:
# Process first location. Add a for-loop for multiple locations or weather models # Process first location. Add a for-loop for multiple locations or weather models
response = responses[0] response = responses[0]
print(f"Coordinates: {response.Latitude()}°N {response.Longitude()}°E")
print(f"Elevation: {response.Elevation()} m asl")
print(f"Timezone: {response.Timezone()}{response.TimezoneAbbreviation()}")
print(f"Timezone difference to GMT+0: {response.UtcOffsetSeconds()}s")
# Process daily data. The order of variables needs to be the same as requested. # Process daily data. The order of variables needs to be the same as requested.
daily = response.Daily() daily = response.Daily()
@ -63,21 +59,22 @@ class HappyMeteo:
daily_daylight_duration = daily.Variables(5).ValuesAsNumpy() daily_daylight_duration = daily.Variables(5).ValuesAsNumpy()
daily_relative_humidity_2m_mean = daily.Variables(6).ValuesAsNumpy() daily_relative_humidity_2m_mean = daily.Variables(6).ValuesAsNumpy()
daily_data = {"date": pd.date_range( # Return comprehensive data structure
start = pd.to_datetime(daily.Time(), unit = "s", utc = True), return {
end = pd.to_datetime(daily.TimeEnd(), unit = "s", utc = True), "daily_data": {
freq = pd.Timedelta(seconds = daily.Interval()), "weather_code": daily_weather_code.tolist(),
inclusive = "left" "temperature_2m_mean": daily_temperature_2m_mean.tolist(),
)} "rain_sum": daily_rain_sum.tolist(),
"showers_sum": daily_showers_sum.tolist(),
daily_data["weather_code"] = daily_weather_code "precipitation_sum": daily_precipitation_sum.tolist(),
daily_data["temperature_2m_mean"] = daily_temperature_2m_mean "daylight_duration": daily_daylight_duration.tolist(),
daily_data["rain_sum"] = daily_rain_sum "relative_humidity_2m_mean": daily_relative_humidity_2m_mean.tolist()
daily_data["showers_sum"] = daily_showers_sum },
daily_data["precipitation_sum"] = daily_precipitation_sum "summary": {
daily_data["daylight_duration"] = daily_daylight_duration "avg_temperature": float(daily_temperature_2m_mean.mean()),
daily_data["relative_humidity_2m_mean"] = daily_relative_humidity_2m_mean "total_precipitation": float(daily_precipitation_sum.sum()),
"avg_humidity": float(daily_relative_humidity_2m_mean.mean()),
daily_dataframe = pd.DataFrame(data = daily_data) "total_daylight_hours": float(daily_daylight_duration.sum() / 3600) # Convert seconds to hours
print("\nDaily data\n", daily_dataframe) }
}