get data from file

personas_vector/dssm_model.py

 import pandas as pd
+from utils.defs import nth_element
 from utils.files import get_df
-from utils.utils import nth_element
 
 DEVICE_COLUMNS = [
     "device_id",

personas_vector/personas_dssm_model.py

-import pandas as pd
-from utils.defs import nth_element
-from utils.files import get_df
-
-DEVICE_COLUMNS = [
-    "device_id",
-]
-
-TRACTATE_COLUMNS = [
-    "card_id",
-]
-
-
-def device_tractae_fe():
-    click_df = get_df("personas_tractate_click.csv")
-    exposure_df = get_df("personas_tractate_exposure.csv")
-    device_fe_df = get_df("personas_device_feature.csv")
-    tractate_tags_df = get_df("personas_tractate_tags.csv")
-    print(click_df.shape)
-    print(exposure_df.shape)
-    print(device_fe_df.shape)
-    print(tractate_tags_df.shape)
-
-
-if __name__ == "__main__":
-    click_df = get_df("personas_tractate_click.csv")
-    exposure_df = get_df("personas_tractate_exposure.csv")
-    device_fe_df = get_df("personas_device_feature.csv")
-    tractate_tags_df = get_df("personas_tractate_tags.csv")
-    print(click_df.shape)
-    print(exposure_df.shape)
-    print(device_fe_df.shape)
-    print(tractate_tags_df.shape)
-    print(tractate_tags_df.head(3))

utils/files.py

@@ -34,5 +34,6 @@ def save_dict_to_csv(d, file):
 
 def get_df(file):
     full_path = os.path.join(DATA_PATH, file)
+    print(full_path)
     df = pd.read_csv(full_path, sep="|")
     return df