-from lib.source.ephemeris import Ephemeris
-from lib.source.meteofrance import MeteoFrance
+from predictops.source.ephemeris import Ephemeris
+from predictops.source.meteofrance import MeteoFrance
+from predictops.learn.preprocessing import Preprocessing
+from predictops.target.toarea import ToArea
-from datetime import datetime
+from datetime import datetime, timedelta
from logging import getLogger
from logging.config import fileConfig
from pathlib import Path
from shutil import rmtree
+import geopandas as gpd
+
fileConfig((Path.cwd() / 'config') / 'logging.cfg')
logger = getLogger()
class Engine:
def __init__(self, start = None, end = None, time_step = None):
- logger.info("Predictops engine launched")
self._X = {}
self._Y = {}
self._X = x
-start = datetime.strptime('01/01/2010 00:00:00', '%m/%d/%Y %H:%M:%S')
+start = datetime.strptime('01/01/2010 01:00:00', '%m/%d/%Y %H:%M:%S')
end = datetime.strptime('12/31/2010 23:00:00', '%m/%d/%Y %H:%M:%S')
engine = Engine()
latitude = 47.25, longitude = 6.0333, nb_stations = 3,
features = ['temperature', 'pressure'])
+
engine.add_feature(name = 'ephemeris',
start = start, end = end,
features = ['hour', 'dayInWeek', 'dayInMonth', 'dayInYear',
'weekInYear', 'month', 'year'])
+process = Preprocessing(dict_features = engine.X,
+ start = start, end = end, timestep = timedelta(hours=6))
+
+
+df = process.dataframe.head(n=20)
+#print(engine.X[datetime.strptime('06/30/2010 21:00:00', '%m/%d/%Y %H:%M:%S')])
+print(df)
+exit()
+
+depts = gpd.read_file( Path.cwd() / 'data' / 'targets' / 'departments' / "departements-20180101.shp")
+Doubs = depts.loc[depts['nom'] == 'Doubs'].iloc[0]
+
+ToArea(area=Doubs.geometry,
+ start = start, end = end,
+ csv_file = Path.cwd() / 'data' / 'targets' / 'sdis25' / 'interventions.csv')
-print(engine.X[datetime.strptime('06/30/2010 21:00:00', '%m/%d/%Y %H:%M:%S')])
\ No newline at end of file