diff --git a/chargement_propilot.py b/chargement_propilot.py
index 2a134c8b..ebbd89b3 100644
--- a/chargement_propilot.py
+++ b/chargement_propilot.py
@@ -161,9 +161,12 @@ def get_df_sum_indicator(df_dep: pd.DataFrame,
 
 def recup_date(string: str) -> str:
     """
-    retire les informations inutile présente dans la date '2020-12-31T00:00:00.0000000' -> '2020-12-31'
+    retire les informations inutile présente dans la date '2020-12-31T00:00:00.0000000' -> '2020-12-31' seulement pour les str
     """
-    return string[:10]
+    if isinstance(string, str):
+        return string[:10]
+    else:
+        return string
 
 
 def mkdir_ifnotexist(path: str):
@@ -212,11 +215,11 @@ def load_propilot():
         ~df_dict["fact_financials"].financials_cumulated_amount.isna()]
 
     df = (df_dict["fact_financials"]
-          .merge(df_dict["dim_tree_nodes"], left_on="tree_node_id", right_on="tree_node_id")
-          .merge(df_dict["dim_effects"], left_on="effect_id", right_on="effect_id")
-          .merge(df_dict["dim_states"], left_on="state_id", right_on="state_id")
-          .merge(df_dict["dim_period"], left_on="period_id", right_on="period_id", how='left')
-          .merge(df_dict["dim_structures"], left_on="structure_id", right_on="structure_id"))
+          .merge(df_dict["dim_tree_nodes"], left_on="tree_node_id", right_on="tree_node_id", suffixes=('', '_right'))
+          .merge(df_dict["dim_effects"], left_on="effect_id", right_on="effect_id", suffixes=('', '_right'))
+          .merge(df_dict["dim_states"], left_on="state_id", right_on="state_id", suffixes=('', '_right'))
+          .merge(df_dict["dim_period"], left_on="period_id", right_on="period_id", how='left', suffixes=('', '_right'))
+          .merge(df_dict["dim_structures"], left_on="structure_id", right_on="structure_id", suffixes=('', '_right')))
 
     df['dep_code'] = df['tree_node_code'].apply(lambda x: extract_dep_code(x))