Refactoring, and categorical / numerical / mixed NaN values are now

[predictops.git] / main.py

diff --git a/main.py b/main.py
index 9ccb687252334a014f74a9d4bdf468977947ccca..9e35b2da9acf12c39b784454a8c420dae5ce2bb4 100644 (file)
--- a/main.py
+++ b/main.py
@@ -1,38 +1,41 @@
-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 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()
 
 
 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