X-Git-Url: https://bilbo.iut-bm.univ-fcomte.fr/and/gitweb/predictops.git/blobdiff_plain/b1216db088f3ab2d18dec528332c1e2be3dee78e..d6469a787c80df2c938f21d4ae107b84213e238f:/main.py

diff --git a/main.py b/main.py
index 9ccb687..a42ce0f 100644
--- a/main.py
+++ b/main.py
@@ -1,21 +1,25 @@
-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
@@ -27,12 +31,59 @@ class Engine:
         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