-from lib.source import MeteoFrance
+from predictops.engine import Engine
+from predictops.learn.preprocessing import Preprocessing
+from predictops.target.all import All
+from predictops.target.toarea import ToArea
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()
+if __name__ == '__main__':
-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")
+ config = (Path.cwd() / 'config') / 'learn.cfg'
+ engine = Engine(config_file = config)
- def clean(self):
- # Cleaning the data directory
- logger.info("Cleaning and restoring data directory")
- directory = Path.cwd() / 'data'
- if directory.is_dir():
- rmtree(directory)
- p = Path(Path.cwd() / 'data')
- p.mkdir()
+ engine.add_features()
+ #print(engine.X)
+ process = Preprocessing(config_file = config, dict_features = engine.X)
- def add_meteofrance(self):
- self.meteofrance = MeteoFrance()
+ #print(engine.X[datetime.strptime('06/30/2010 21:00:00', '%m/%d/%Y %H:%M:%S')])
+ print(process.dataframe.head(n=20))
+ print(process.dataframe.tail(n=20))
+ target = All(stream_file = Path.cwd() / 'data' / 'targets' / 'sdis25' / 'interventions.csv')
+
+
+ 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
