def get_kpi_static_data(self):
     """
     This function extracts the static KPI data and saves it into one global data frame.
     The data is taken from static.kpi / static.atomic_kpi / static.kpi_set.
     """
     query = DIAGEOQueries.get_all_kpi_data()
     kpi_static_data = pd.read_sql_query(query, self.rds_conn.db)
     return kpi_static_data
 def get_match_display(self):
     """
     This function extracts the display matches data and saves it into one global data frame.
     The data is taken from probedata.match_display_in_scene.
     """
     query = DIAGEOQueries.get_match_display(self.session_uid)
     match_display = pd.read_sql_query(query, self.rds_conn.db)
     return match_display
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 def get_business_unit(self):
     """
     This function returns the session's business unit (equal to store type for some KPIs)
     """
     query = DIAGEOQueries.get_business_unit_data(
         self.store_info['store_fk'].values[0])
     business_unit = pd.read_sql_query(query, self.rds_conn.db)['name']
     if not business_unit.empty:
         return business_unit.values[0]
     else:
         return ''
 def get_business_unit_name(self):
     """
     This function extracts the static KPI data and saves it into one global data frame.
     The data is taken from static.kpi / static.atomic_kpi / static.kpi_set.
     """
     query = DIAGEOQueries.get_business_unit_name(self.store_id)
     business_unit_name = pd.read_sql_query(query, self.rds_conn.db)
     if business_unit_name['business_unit_name'].empty:
         return ""
     else:
         return business_unit_name['business_unit_name'].values[0]
 def commit_results_data(self):
     """
     This function writes all KPI results to the DB, and commits the changes.
     """
     cur = self.rds_conn.db.cursor()
     delete_queries = DIAGEOQueries.get_delete_session_results_query_old_tables(self.session_uid)
     for query in delete_queries:
         cur.execute(query)
     for query in self.kpi_results_queries:
         cur.execute(query)
     self.rds_conn.db.commit()
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 def commit_results_data(self):
     """
     This function writes all KPI results to the DB, and commits the changes.
     """
     insert_queries = self.merge_insert_queries(self.kpi_results_queries)
     rds_conn = PSProjectConnector(self.project_name,
                                   DbUsers.CalculationEng)
     cur = rds_conn.db.cursor()
     delete_queries = DIAGEOQueries.get_delete_session_results_query_old_tables(
         self.session_uid)
     for query in delete_queries:
         cur.execute(query)
     for query in insert_queries:
         cur.execute(query)
     rds_conn.db.commit()
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    def commit_results_data(self):
        # self.common.commit_results_data_to_new_tables()
        self.common_v2.commit_results_data()  # new tables

        # old tables
        cur = self.rds_conn.db.cursor()
        delete_queries = DIAGEOQueries.get_delete_session_results_query_old_tables(
            self.session_uid)
        for query in delete_queries:
            cur.execute(query)
        for query in self.kpi_results_queries:
            cur.execute(query)
        # needed to save Touch Point values
        for query in self.common.kpi_results_queries:
            cur.execute(query)

        # this is only needed temporarily until the global assortment function is updated to use the new commonv2 object
        insert_queries = self.common.merge_insert_queries(
            self.common.kpi_results_new_tables_queries)
        for query in insert_queries:
            cur.execute(query)

        self.rds_conn.db.commit()