module renamed

.gitignore

@@ -127,11 +127,11 @@ dmypy.json
 
 # Pyre type checker
 .pyre/
-/pvpower/example.py
-/pvpower/test.py
-/pvpower/test_device_control.py
-/pvpower/train.csv
-/pvpower/train_compare.py
+/pv_forecast/example.py
+/pv_forecast/test.py
+/pv_forecast/test_device_control.py
+/pv_forecast/train.csv
+/pv_forecast/train_compare.py
 /requirements.txt
 /pv_forecast.iml
 /.idea/

pvpower/forecast_24h.py → pv_forecast/forecast_24h.py

@@ -1,6 +1,6 @@
 from datetime import datetime, timedelta
 from typing import List
-from pvpower.pv_forecast_service import PvPowerForecast, LabelledWeatherForecast
+from pv_forecast.pv_forecast_service import PvPowerForecast, LabelledWeatherForecast
 
 
 class Frame:

pvpower/pv_forecast_service.py → pv_forecast/pv_forecast_service.py

@@ -9,7 +9,7 @@
 from sklearn import svm
 from typing import List
 from dataclasses import dataclass
-from pvpower.weather_service import WeatherServiceForecast, WeatherForecast
+from pv_forecast.weather_service import WeatherServiceForecast, WeatherForecast
 
 
 @dataclass(frozen=True)

setup.cfg

@@ -1,17 +1,16 @@
 [metadata]
-name = pvpower
+name = pv_forecast
 author = Gregor Roth
 author_email = [email protected]
 description=photovoltaic, forecast, power, PV, weather, DWD, machine, learning
 long_description = file: README.md
 long_description_content_type=text/markdown
 
 [options]
-packages = find:
-zip_safe = True
-include_package_data = True
+packages = pv_forecast
 python_requires = >=3.8
 install_requires =
     scikit-learn==1.1.2
     xmltodict==0.13.0
     appdirs==1.4.4
+