Update app.py

app.py

@@ -442,25 +442,25 @@ def connexion_France_Travail():
                 client_secret=os.getenv('POLE_EMPLOI_CLIENT_SECRET'))
     return client
 
-#def API_France_Travail(romeListArray):
-#    client = connexion_France_Travail()
-#    todayDate = datetime.datetime.today()
-#    month, year = (todayDate.month-1, todayDate.year) if todayDate.month != 1 else (12, todayDate.year-1)
-#    start_dt = todayDate.replace(day=1, month=month, year=year)
-#    end_dt = datetime.datetime.today()
-#    results = []
-#    for k in romeListArray:
-#        if k[0:1] == ' ':
-#            k = k[1:]
-#        params = {"motsCles": k.replace('/', '').replace('-', '').replace(',', '').replace(' ', ','),'minCreationDate': dt_to_str_iso(start_dt),'maxCreationDate': dt_to_str_iso(end_dt),'range':'0-149'}
-#        try:
-#            search_on_big_data = client.search(params=params)
-#            results += search_on_big_data["resultats"]
-#        except:
-#            print("Il n'y a pas d'offres d'emploi.")
-#        
-#    results_df = pd.DataFrame(results)
-#    return results_df
+def API_France_Travail(romeListArray):
+    client = connexion_France_Travail()
+    todayDate = datetime.datetime.today()
+    month, year = (todayDate.month-1, todayDate.year) if todayDate.month != 1 else (12, todayDate.year-1)
+    start_dt = todayDate.replace(day=1, month=month, year=year)
+    end_dt = datetime.datetime.today()
+    results = []
+    for k in romeListArray:
+        if k[0:1] == ' ':
+            k = k[1:]
+        params = {"motsCles": k.replace('/', '').replace('-', '').replace(',', '').replace(' ', ','),'minCreationDate': dt_to_str_iso(start_dt),'maxCreationDate': dt_to_str_iso(end_dt),'range':'0-149'}
+        try:
+            search_on_big_data = client.search(params=params)
+            results += search_on_big_data["resultats"]
+        except:
+            print("Il n'y a pas d'offres d'emploi.")
+        
+    results_df = pd.DataFrame(results)
+    return results_df
 
 theme_toggle = dmc.Tooltip(
     dmc.ActionIcon(
@@ -632,7 +632,6 @@ app.layout = dmc.MantineProvider(
     [
         html.Div(
             children=[
-                dcc.Store(id="store-emplois"),
                 dmc.Container(
                     children=[
                         dmc.Grid(
@@ -831,30 +830,6 @@ def switch_theme(_, theme):
 )
 def drawer_demo(n_clicks):
     return True
-
-@callback(
-    Output("store-emplois", "data"),
-    Input(component_id='framework-multi-select', component_property='value'),
-)
-def API_France_Travail(romeListArray):
-    client = connexion_France_Travail()
-    todayDate = datetime.datetime.today()
-    month, year = (todayDate.month-1, todayDate.year) if todayDate.month != 1 else (12, todayDate.year-1)
-    start_dt = todayDate.replace(day=1, month=month, year=year)
-    end_dt = datetime.datetime.today()
-    results = []
-    for k in romeListArray:
-        if k[0:1] == ' ':
-            k = k[1:]
-        params = {"motsCles": k.replace('/', '').replace('-', '').replace(',', '').replace(' ', ','),'minCreationDate': dt_to_str_iso(start_dt),'maxCreationDate': dt_to_str_iso(end_dt),'range':'0-149'}
-        try:
-            search_on_big_data = client.search(params=params)
-            results += search_on_big_data["resultats"]
-        except:
-            print("Il n'y a pas d'offres d'emploi.")
-        
-    results_df = pd.DataFrame(results)
-    return results_df.to_dict('records')
     
 @callback(
     Output(component_id='figRepartition', component_property='figure'),
@@ -865,9 +840,8 @@ def API_France_Travail(romeListArray):
     Input(component_id='framework-multi-select', component_property='value'),
     Input('figEmplois', 'selectedData'),
     Input("mantine-provider", "forceColorScheme"),
-    Input('store-emplois', 'data')
 )
-def create_repartition(array_value, selectedData, theme, data):
+def create_repartition(array_value, selectedData, theme):
     if theme == "dark":
         template = "plotly_dark"
         paper_bgcolor = 'rgba(36, 36, 36, 1)'
@@ -877,8 +851,7 @@ def create_repartition(array_value, selectedData, theme, data):
         paper_bgcolor = 'rgba(255, 255, 255, 1)'
         plot_bgcolor = 'rgba(255, 255, 255, 1)'
     
-    #df_FT = API_France_Travail(array_value)
-    df_FT = pd.DataFrame(data)
+    df_FT = API_France_Travail(array_value)
     
     ######## localisation ########
     df = df_FT[['intitule','typeContratLibelle','experienceLibelle','lieuTravail','secteurActiviteLibelle']].copy()
@@ -1087,10 +1060,9 @@ def create_tableau(df, theme):
     Input('figRepartition', 'selectedData'),
     Input(component_id='framework-multi-select', component_property='value'),
     Input("mantine-provider", "forceColorScheme"),
-    Input('store-emplois', 'data')
 )
 
-def update_emploi(selectedData, array_value, theme, data):
+def update_emploi(selectedData, array_value, theme):
     options = []
     if selectedData != None:
         if type(selectedData['points'][0]['hovertext']) == str:
@@ -1100,8 +1072,7 @@ def update_emploi(selectedData, array_value, theme, data):
     else:
         options = ['01','02','03','04','05','06','07','08','09','10','11','12','13','14','15','16','17','18','19','2A','2B','21','22','23','24','25','26','27','28','29','30','31','32','33','34','35','36','37','38','39','40','41','42','43','44','45','46','47','48','49','50','51','52','53','54','55','56','57','58','59','60','61','62','63','64','65','66','67','68','69','70','71','72','73','74','75','76','77','78','79','80','81','82','83','84','85','86','87','88','89','90','91','92','93','94','95','971','972','973','974']
     
-    #df_FT = API_France_Travail(array_value)
-    df_FT = pd.DataFrame(data)
+    df_FT = API_France_Travail(array_value)
     df = df_FT[['intitule','typeContratLibelle','experienceLibelle','lieuTravail']].copy()
     df["lieuTravail"] = df["lieuTravail"].apply(lambda x: x['libelle']).apply(lambda x: x[0:3]).apply(lambda x: x.strip())
     df.drop(df[df['lieuTravail'] == 'Fra'].index, inplace = True)
@@ -1118,10 +1089,9 @@ def update_emploi(selectedData, array_value, theme, data):
     Input('figRepartition', 'selectedData'),
     Input(component_id='framework-multi-select', component_property='value'),
     Input("mantine-provider", "forceColorScheme"),
-    Input('store-emplois', 'data')
 )
 
-def update_contrat(selectedData, array_value, theme, data):
+def update_contrat(selectedData, array_value, theme):
     options = []
     if selectedData != None:
         if type(selectedData['points'][0]['hovertext']) == str:
@@ -1131,8 +1101,7 @@ def update_contrat(selectedData, array_value, theme, data):
     else:
         options = ['01','02','03','04','05','06','07','08','09','10','11','12','13','14','15','16','17','18','19','2A','2B','21','22','23','24','25','26','27','28','29','30','31','32','33','34','35','36','37','38','39','40','41','42','43','44','45','46','47','48','49','50','51','52','53','54','55','56','57','58','59','60','61','62','63','64','65','66','67','68','69','70','71','72','73','74','75','76','77','78','79','80','81','82','83','84','85','86','87','88','89','90','91','92','93','94','95','971','972','973','974']
     
-    #df_FT = API_France_Travail(array_value)
-    df_FT = pd.DataFrame(data)
+    df_FT = API_France_Travail(array_value)
     df = df_FT[['intitule','typeContratLibelle','experienceLibelle','lieuTravail']].copy()
     df["lieuTravail"] = df["lieuTravail"].apply(lambda x: x['libelle']).apply(lambda x: x[0:3]).apply(lambda x: x.strip())
     df.drop(df[df['lieuTravail'] == 'Fra'].index, inplace = True)
@@ -1150,10 +1119,9 @@ def update_contrat(selectedData, array_value, theme, data):
     Input('figRepartition', 'selectedData'),
     Input(component_id='framework-multi-select', component_property='value'),
     Input("mantine-provider", "forceColorScheme"),
-    Input('store-emplois', 'data')
 )
 
-def update_experience(selectedData, array_value, theme, data):
+def update_experience(selectedData, array_value, theme):
     options = []
     if selectedData != None:
         if type(selectedData['points'][0]['hovertext']) == str:
@@ -1163,8 +1131,7 @@ def update_experience(selectedData, array_value, theme, data):
     else:
         options = ['01','02','03','04','05','06','07','08','09','10','11','12','13','14','15','16','17','18','19','2A','2B','21','22','23','24','25','26','27','28','29','30','31','32','33','34','35','36','37','38','39','40','41','42','43','44','45','46','47','48','49','50','51','52','53','54','55','56','57','58','59','60','61','62','63','64','65','66','67','68','69','70','71','72','73','74','75','76','77','78','79','80','81','82','83','84','85','86','87','88','89','90','91','92','93','94','95','971','972','973','974']
     
-    #df_FT = API_France_Travail(array_value)
-    df_FT = pd.DataFrame(data)
+    df_FT = API_France_Travail(array_value)
     df = df_FT[['intitule','typeContratLibelle','experienceLibelle','lieuTravail']].copy()
     df["lieuTravail"] = df["lieuTravail"].apply(lambda x: x['libelle']).apply(lambda x: x[0:3]).apply(lambda x: x.strip())
     df.drop(df[df['lieuTravail'] == 'Fra'].index, inplace = True)
@@ -1367,17 +1334,15 @@ def clear_input(n_clicks, n_submit):
     [Input("submit", "n_clicks"), Input("user-input", "n_submit")],
     [State("user-input", "value"), State("store-conversation", "data")],
     Input(component_id='framework-multi-select', component_property='value'),
-    Input('store-emplois', 'data')
 )
-def run_chatbot(n_clicks, n_submit, user_input, chat_history, array_value, data):
+def run_chatbot(n_clicks, n_submit, user_input, chat_history, array_value):
     if n_clicks == 0 and n_submit is None:
         return "", None
 
     if user_input is None or user_input == "":
         return chat_history, None
 
-    #df_FT = API_France_Travail(array_value)
-    df_FT = pd.DataFrame(data)
+    df_FT = API_France_Travail(array_value)
     
     df_FT_Select = df_FT[['intitule','typeContratLibelle','experienceLibelle','competences','description','qualitesProfessionnelles','salaire','lieuTravail','formations']].copy()
     list_FT = df_FT_Select.values.tolist()