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stat desc

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Alexis REVELLE 2024-03-19 13:54:31 +00:00
parent 57cc7d077d
commit 0a41641956
2 changed files with 5 additions and 5 deletions
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2
0_4_Generate_stat_desc.py
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@ -17,7 +17,7 @@ S3_ENDPOINT_URL = "https://" + os.environ["AWS_S3_ENDPOINT"]
fs = s3fs.S3FileSystem(client_kwargs={'endpoint_url': S3_ENDPOINT_URL})
companies = {'musee' : ['1', '2', '3', '4'], # , '101'
'sport': ['5'],
'sport': ['5', '6', '7', '8', '9'],
'musique' : ['10', '11', '12', '13', '14']}

8
utils_stat_desc.py
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@ -19,10 +19,10 @@ def load_files(nb_compagnie):
# début de la boucle permettant de générer des datasets agrégés pour les 5 compagnies de spectacle
for directory_path in nb_compagnie:
df_customerplus_clean_0 = display_databases(directory_path, file_name = "customerplus_cleaned")
df_campaigns_brut = display_databases(directory_path, file_name = "campaigns_information", datetime_col = ['opened_at', 'sent_at', 'campaign_sent_at'])
df_products_purchased_reduced = display_databases(directory_path, file_name = "products_purchased_reduced", datetime_col = ['purchase_date'])
df_target_information = display_databases(directory_path, file_name = "target_information")
df_customerplus_clean_0 = display_input_databases(directory_path, file_name = "customerplus_cleaned")
df_campaigns_brut = display_input_databases(directory_path, file_name = "campaigns_information", datetime_col = ['opened_at', 'sent_at', 'campaign_sent_at'])
df_products_purchased_reduced = display_input_databases(directory_path, file_name = "products_purchased_reduced", datetime_col = ['purchase_date'])
df_target_information = display_input_databases(directory_path, file_name = "target_information")
df_campaigns_kpi = campaigns_kpi_function(campaigns_information = df_campaigns_brut)
df_tickets_kpi = tickets_kpi_function(tickets_information = df_products_purchased_reduced)