Learning process: first version

[predictops.git] / main.py

diff --git a/main.py b/main.py
index 9ccb687252334a014f74a9d4bdf468977947ccca..27f502aeaa676fd0a0500e2ca4f20a295f5d0ce9 100644 (file)
--- a/main.py
+++ b/main.py
@@ -1,38 +1,30 @@
-from lib.source import MeteoFrance
+from predictops.engine import Engine

 
 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

 
 
 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()
+    engine.add_target()

 
 

+    engine.add_preprocessing()

 
 

-    def add_meteofrance(self):
-        self.meteofrance = MeteoFrance()
+    engine.learn()

 
 

+    '''target = toarea(stream_file = Path.cwd() / 'data' / 'targets' / 'sdis25' / 'interventions.csv')

 
 

+    depts = gpd.read_file( Path.cwd() / 'data' / 'targets' / 'departments' / "departements-20180101.shp")
+    Doubs = depts.loc[depts['nom'] == 'Doubs'].iloc[0]

 
 

-engine = Engine(clean = False)
-engine.add_meteofrance()
-engine.meteofrance.update()
-print(len(engine.meteofrance.dated_features))
\ No newline at end of file
+    ToArea(area=Doubs.geometry,
+           csv_file = Path.cwd() / 'data' / 'targets' / 'sdis25' / 'interventions.csv')
+    '''