-from lib.source 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, 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, clean = False):
- logger.info("Predictops engine launched")
- if clean:
- self.clean()
- print("To prevent from downloading again csv files, copy the archive in data rep")
+ def __init__(self, start = None, end = None, time_step = None):
+ self._X = {}
+ self._Y = {}
+
def clean(self):
# Cleaning the data directory
p.mkdir()
- def add_meteofrance(self):
- self.meteofrance = MeteoFrance()
+ def add_feature(self, name, **kw):
+
+ if name == 'meteofrance':
+ meteofeature = MeteoFrance(**kw)
+ meteofeature.update()
+ dated_features = meteofeature.dated_features
+ for date in dated_features:
+ self._X.setdefault(date,{}).update(dated_features[date])
+ elif name == 'ephemeris':
+ ephemerides = Ephemeris(**kw)
+ dated_features = ephemerides.dated_features
+ for date in dated_features:
+ self._X.setdefault(date,{}).update(dated_features[date])
+
+
+ @property
+ def X(self):
+ return self._X
+
+ @X.setter
+ def X(self, x):
+ self._X = x
+
+
+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()
+engine.add_feature(name = 'meteofrance',
+ start = start, end = end,
+ 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')
-engine = Engine(clean = False)
-engine.add_meteofrance()
-engine.meteofrance.update()
-print(len(engine.meteofrance.dated_features))
\ No newline at end of file
