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Update app.py
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app.py
CHANGED
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@@ -425,8 +425,8 @@ def insert_data_j(data):
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print(f"User with email {email} or phone {phone} already exists. Skipping insert.")
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continue
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columns = ['name', 'phone', 'email', 'vk_id', 'chat_id', 'ws_st', 'ws_stop', 'web_st', 'fin_prog', 'b_city', 'b_fin', 'b_ban', 'b_ign', 'b_baners', 'b_butt', 'b_mess', '
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values = [name, phone, email, row.get('vk_id', ''), row.get('chat_id', ''), row.get('ws_st', ''), row.get('ws_stop', ''), row.get('web_st', 0), row.get('fin_prog', 0), row.get('b_city', ''), row.get('b_fin', ''), row.get('b_ban', ''), row.get('b_ign', ''), row.get('b_baners', ''), row.get('b_butt', ''), row.get('b_mess', ''), row.get('
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placeholders = ', '.join(['?' for _ in columns])
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columns_str = ', '.join(columns)
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print(f"User with email {email} or phone {phone} already exists. Skipping insert.")
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continue
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columns = ['name', 'phone', 'email', 'vk_id', 'chat_id', 'ws_st', 'ws_stop', 'web_st', 'fin_prog', 'b_city', 'b_fin', 'b_ban', 'b_ign', 'b_baners', 'b_butt', 'b_mess', 'orders', 'curator', 'pr1', 'pr2', 'pr3', 'pr4', 'pr5', 'gc_url', 'key_pr', 'n_con', 'canal', 'data_on', 'data_t', 'utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content', 'gcpc']
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values = [name, phone, email, row.get('vk_id', ''), row.get('chat_id', ''), row.get('ws_st', ''), row.get('ws_stop', ''), row.get('web_st', 0), row.get('fin_prog', 0), row.get('b_city', ''), row.get('b_fin', ''), row.get('b_ban', ''), row.get('b_ign', ''), row.get('b_baners', ''), row.get('b_butt', ''), row.get('b_mess', ''), row.get('orders', ''), row.get('curator', ''), row.get('pr1', ''), row.get('pr2', ''), row.get('pr3', ''), row.get('pr4', ''), row.get('pr5', ''), row.get('gc_url', ''), row.get('key_pr', ''), row.get('n_con', ''), row.get('canal', ''), row.get('data_on', ''), row.get('data_t', ''), row.get('utm_source', ''), row.get('utm_medium', ''), row.get('utm_campaign', ''), row.get('utm_term', ''), row.get('utm_content', ''), row.get('gcpc', '')]
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placeholders = ', '.join(['?' for _ in columns])
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columns_str = ', '.join(columns)
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