1761 lines
62 KiB
Plaintext
1761 lines
62 KiB
Plaintext
{
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||
"cells": [
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||
{
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||
"cell_type": "markdown",
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||
"id": "8c56d518-3634-4492-b249-0d8ef33dd527",
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"metadata": {},
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"source": [
|
||
"## First steps : package importations, set up working environment and import data"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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||
"id": "dede42d9-1262-45f7-bd7a-586ae800092a",
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||
"metadata": {},
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"outputs": [],
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"source": [
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"# importations\n",
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"\n",
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"import os \n",
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"import s3fs\n",
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"import pandas as pd\n",
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"import re\n",
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"from datetime import datetime, timezone, timedelta\n",
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"import math\n",
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"import numpy as np"
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]
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},
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{
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"cell_type": "code",
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||
"execution_count": 2,
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||
"id": "6ce34b58-b5ba-4b54-ba4d-fc82ef01b09c",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['bdc2324-data/1',\n",
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" 'bdc2324-data/10',\n",
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" 'bdc2324-data/101',\n",
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" 'bdc2324-data/11',\n",
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" 'bdc2324-data/12',\n",
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" 'bdc2324-data/13',\n",
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" 'bdc2324-data/14',\n",
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" 'bdc2324-data/2',\n",
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" 'bdc2324-data/3',\n",
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" 'bdc2324-data/4',\n",
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" 'bdc2324-data/5',\n",
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" 'bdc2324-data/6',\n",
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||
" 'bdc2324-data/7',\n",
|
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" 'bdc2324-data/8',\n",
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" 'bdc2324-data/9']"
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]
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||
},
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||
"execution_count": 2,
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||
"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# bucket for accessing the data\n",
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"\n",
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"S3_ENDPOINT_URL = \"https://\" + os.environ[\"AWS_S3_ENDPOINT\"]\n",
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"\n",
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"fs = s3fs.S3FileSystem(client_kwargs = {\"endpoint_url\" : S3_ENDPOINT_URL})\n",
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"BUCKET = \"bdc2324-data\"\n",
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"fs.ls(BUCKET)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "8eb13dd3-53c7-4a70-94a4-846168473aa1",
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"metadata": {},
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||
"outputs": [
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||
{
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"data": {
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"text/plain": [
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"['bdc2324-data/1/1campaign_stats.csv',\n",
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" 'bdc2324-data/1/1campaigns.csv',\n",
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" 'bdc2324-data/1/1categories.csv',\n",
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" 'bdc2324-data/1/1countries.csv',\n",
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" 'bdc2324-data/1/1currencies.csv',\n",
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" 'bdc2324-data/1/1customer_target_mappings.csv',\n",
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" 'bdc2324-data/1/1customersplus.csv',\n",
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" 'bdc2324-data/1/1event_types.csv',\n",
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" 'bdc2324-data/1/1events.csv',\n",
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" 'bdc2324-data/1/1facilities.csv',\n",
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" 'bdc2324-data/1/1link_stats.csv',\n",
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" 'bdc2324-data/1/1pricing_formulas.csv',\n",
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" 'bdc2324-data/1/1product_packs.csv',\n",
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" 'bdc2324-data/1/1products.csv',\n",
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" 'bdc2324-data/1/1products_groups.csv',\n",
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" 'bdc2324-data/1/1purchases.csv',\n",
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" 'bdc2324-data/1/1representation_category_capacities.csv',\n",
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" 'bdc2324-data/1/1representations.csv',\n",
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" 'bdc2324-data/1/1seasons.csv',\n",
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" 'bdc2324-data/1/1structure_tag_mappings.csv',\n",
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" 'bdc2324-data/1/1suppliers.csv',\n",
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" 'bdc2324-data/1/1tags.csv',\n",
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" 'bdc2324-data/1/1target_types.csv',\n",
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" 'bdc2324-data/1/1targets.csv',\n",
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" 'bdc2324-data/1/1tickets.csv',\n",
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" 'bdc2324-data/1/1type_of_categories.csv',\n",
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" 'bdc2324-data/1/1type_of_pricing_formulas.csv',\n",
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" 'bdc2324-data/1/1type_ofs.csv']"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"FILE_PATH_S3 = fs.ls(BUCKET)[0] # focus on the company number 1\n",
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"files_path = fs.ls(FILE_PATH_S3)\n",
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"files_path"
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]
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},
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{
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"cell_type": "code",
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||
"execution_count": 4,
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||
"id": "1ea66c4e-1307-4f19-836e-3104fba2ff41",
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||
"metadata": {},
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||
"outputs": [
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||
{
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||
"name": "stdout",
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||
"output_type": "stream",
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"text": [
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"1\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/tmp/ipykernel_487/2894332003.py:10: DtypeWarning: Columns (1) have mixed types. Specify dtype option on import or set low_memory=False.\n",
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" df = pd.read_csv(file_in)\n"
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]
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}
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],
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"source": [
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"# loop to create dataframes related to company 1\n",
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"\n",
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"client_number = files_path[0].split(\"/\")[1]\n",
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"print(client_number)\n",
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"df_prefix = \"df\" + str(client_number) + \"_\"\n",
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"\n",
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"for i in range(len(files_path)) :\n",
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" current_path = files_path[i]\n",
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" with fs.open(current_path, mode=\"rb\") as file_in:\n",
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" df = pd.read_csv(file_in)\n",
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" # the pattern of the name is df1xxx\n",
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" nom_dataframe = df_prefix + re.search(r'\\/(\\d+)\\/(\\d+)([a-zA-Z_]+)\\.csv$', current_path).group(3)\n",
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" globals()[nom_dataframe] = df"
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]
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||
},
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||
{
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||
"cell_type": "markdown",
|
||
"id": "13d70b2c-6580-4caf-b839-10f72b2e0b39",
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||
"metadata": {},
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||
"source": [
|
||
"## Target, target types and customer target mapping"
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]
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||
},
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||
{
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||
"cell_type": "code",
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||
"execution_count": 6,
|
||
"id": "4dbc7fea-ac3b-4348-83fb-dfb1a460f936",
|
||
"metadata": {},
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||
"outputs": [
|
||
{
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||
"data": {
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||
"text/html": [
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||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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||
" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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||
" }\n",
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||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>id</th>\n",
|
||
" <th>is_import</th>\n",
|
||
" <th>name</th>\n",
|
||
" <th>created_at</th>\n",
|
||
" <th>updated_at</th>\n",
|
||
" <th>identifier</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
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||
" <th>0</th>\n",
|
||
" <td>69</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>manual_dynamic_filter</td>\n",
|
||
" <td>2020-11-30 09:46:18.881030+01:00</td>\n",
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||
" <td>2020-11-30 09:46:18.881030+01:00</td>\n",
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" <td>e0f4b8693184850fefd6d2a38f10584e</td>\n",
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||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>48</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>manual_structure</td>\n",
|
||
" <td>2020-11-04 17:16:19.548275+01:00</td>\n",
|
||
" <td>2020-11-04 17:16:19.548275+01:00</td>\n",
|
||
" <td>382bca214204a2d3462f5ec2728d5d1e</td>\n",
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||
" </tr>\n",
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||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>1</td>\n",
|
||
" <td>True</td>\n",
|
||
" <td>manual_import</td>\n",
|
||
" <td>2020-10-14 18:37:40.521623+02:00</td>\n",
|
||
" <td>2020-10-14 18:37:40.521623+02:00</td>\n",
|
||
" <td>12213df2ce68a624e4c0070521437bac</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>56</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>manual_static_filter</td>\n",
|
||
" <td>2020-11-04 18:08:37.233486+01:00</td>\n",
|
||
" <td>2020-11-04 18:08:37.233486+01:00</td>\n",
|
||
" <td>fb27e81baa4debc6a4e1a8639c20e808</td>\n",
|
||
" </tr>\n",
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||
" </tbody>\n",
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||
"</table>\n",
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||
"</div>"
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||
],
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"text/plain": [
|
||
" id is_import name created_at \\\n",
|
||
"0 69 False manual_dynamic_filter 2020-11-30 09:46:18.881030+01:00 \n",
|
||
"1 48 True manual_structure 2020-11-04 17:16:19.548275+01:00 \n",
|
||
"2 1 True manual_import 2020-10-14 18:37:40.521623+02:00 \n",
|
||
"3 56 False manual_static_filter 2020-11-04 18:08:37.233486+01:00 \n",
|
||
"\n",
|
||
" updated_at identifier \n",
|
||
"0 2020-11-30 09:46:18.881030+01:00 e0f4b8693184850fefd6d2a38f10584e \n",
|
||
"1 2020-11-04 17:16:19.548275+01:00 382bca214204a2d3462f5ec2728d5d1e \n",
|
||
"2 2020-10-14 18:37:40.521623+02:00 12213df2ce68a624e4c0070521437bac \n",
|
||
"3 2020-11-04 18:08:37.233486+01:00 fb27e81baa4debc6a4e1a8639c20e808 "
|
||
]
|
||
},
|
||
"execution_count": 6,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# 1. target types\n",
|
||
"df1_target_types.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 7,
|
||
"id": "0e9f5dcb-0dc3-4052-b866-e5c4cb954a1f",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
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||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>id</th>\n",
|
||
" <th>target_type_id</th>\n",
|
||
" <th>name</th>\n",
|
||
" <th>created_at</th>\n",
|
||
" <th>updated_at</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>217</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>DDCP PROMO Art contemporain - salle de chauffe...</td>\n",
|
||
" <td>2021-01-04 15:00:05.401899+01:00</td>\n",
|
||
" <td>2021-03-02 18:38:19.025969+01:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>701</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>consentement optin scolaires</td>\n",
|
||
" <td>2021-12-21 16:03:59.840785+01:00</td>\n",
|
||
" <td>2022-02-18 17:23:44.761388+01:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>134</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>DDCP Newsletter jeune public</td>\n",
|
||
" <td>2020-11-10 09:43:19.667471+01:00</td>\n",
|
||
" <td>2021-03-02 18:38:19.052304+01:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>700</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>consentement optout scolaires</td>\n",
|
||
" <td>2021-12-21 16:01:57.524946+01:00</td>\n",
|
||
" <td>2022-02-18 17:23:44.807776+01:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>964</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>DDCP achat billet nbr dep 19052021</td>\n",
|
||
" <td>2022-04-14 10:58:17.142834+02:00</td>\n",
|
||
" <td>2022-04-14 10:58:23.677264+02:00</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" id target_type_id name \\\n",
|
||
"0 217 56 DDCP PROMO Art contemporain - salle de chauffe... \n",
|
||
"1 701 56 consentement optin scolaires \n",
|
||
"2 134 56 DDCP Newsletter jeune public \n",
|
||
"3 700 56 consentement optout scolaires \n",
|
||
"4 964 56 DDCP achat billet nbr dep 19052021 \n",
|
||
"\n",
|
||
" created_at updated_at \n",
|
||
"0 2021-01-04 15:00:05.401899+01:00 2021-03-02 18:38:19.025969+01:00 \n",
|
||
"1 2021-12-21 16:03:59.840785+01:00 2022-02-18 17:23:44.761388+01:00 \n",
|
||
"2 2020-11-10 09:43:19.667471+01:00 2021-03-02 18:38:19.052304+01:00 \n",
|
||
"3 2021-12-21 16:01:57.524946+01:00 2022-02-18 17:23:44.807776+01:00 \n",
|
||
"4 2022-04-14 10:58:17.142834+02:00 2022-04-14 10:58:23.677264+02:00 "
|
||
]
|
||
},
|
||
"execution_count": 7,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# 2. targets\n",
|
||
"df1_targets.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 8,
|
||
"id": "c5c62302-370a-462f-bd79-eac31593f65c",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>id</th>\n",
|
||
" <th>customer_id</th>\n",
|
||
" <th>target_id</th>\n",
|
||
" <th>created_at</th>\n",
|
||
" <th>updated_at</th>\n",
|
||
" <th>name</th>\n",
|
||
" <th>extra_field</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>1184824</td>\n",
|
||
" <td>645400</td>\n",
|
||
" <td>130</td>\n",
|
||
" <td>2021-09-23 09:35:47.617275+02:00</td>\n",
|
||
" <td>2021-09-23 09:35:47.617275+02:00</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>1184825</td>\n",
|
||
" <td>645400</td>\n",
|
||
" <td>345</td>\n",
|
||
" <td>2021-09-23 09:35:47.668846+02:00</td>\n",
|
||
" <td>2021-09-23 09:35:47.668846+02:00</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>1184828</td>\n",
|
||
" <td>645402</td>\n",
|
||
" <td>126</td>\n",
|
||
" <td>2021-09-23 12:02:51.253269+02:00</td>\n",
|
||
" <td>2021-09-23 12:02:51.253269+02:00</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>1184829</td>\n",
|
||
" <td>645403</td>\n",
|
||
" <td>126</td>\n",
|
||
" <td>2021-09-23 12:20:47.394480+02:00</td>\n",
|
||
" <td>2021-09-23 12:20:47.394480+02:00</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>1295770</td>\n",
|
||
" <td>647301</td>\n",
|
||
" <td>346</td>\n",
|
||
" <td>2021-09-28 16:02:29.372608+02:00</td>\n",
|
||
" <td>2021-09-28 16:02:29.372608+02:00</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" id customer_id target_id created_at \\\n",
|
||
"0 1184824 645400 130 2021-09-23 09:35:47.617275+02:00 \n",
|
||
"1 1184825 645400 345 2021-09-23 09:35:47.668846+02:00 \n",
|
||
"2 1184828 645402 126 2021-09-23 12:02:51.253269+02:00 \n",
|
||
"3 1184829 645403 126 2021-09-23 12:20:47.394480+02:00 \n",
|
||
"4 1295770 647301 346 2021-09-28 16:02:29.372608+02:00 \n",
|
||
"\n",
|
||
" updated_at name extra_field \n",
|
||
"0 2021-09-23 09:35:47.617275+02:00 NaN NaN \n",
|
||
"1 2021-09-23 09:35:47.668846+02:00 NaN NaN \n",
|
||
"2 2021-09-23 12:02:51.253269+02:00 NaN NaN \n",
|
||
"3 2021-09-23 12:20:47.394480+02:00 NaN NaN \n",
|
||
"4 2021-09-28 16:02:29.372608+02:00 NaN NaN "
|
||
]
|
||
},
|
||
"execution_count": 8,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# 3. customer target mapping\n",
|
||
"\n",
|
||
"df1_customer_target_mappings.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 10,
|
||
"id": "1a87cebf-c1dd-408d-a523-26633419da1e",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>id</th>\n",
|
||
" <th>target_type_id</th>\n",
|
||
" <th>name</th>\n",
|
||
" <th>target_type_is_import</th>\n",
|
||
" <th>target_type_name</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>217</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>DDCP PROMO Art contemporain - salle de chauffe...</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>manual_static_filter</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>701</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>consentement optin scolaires</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>manual_static_filter</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>134</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>DDCP Newsletter jeune public</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>manual_static_filter</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>700</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>consentement optout scolaires</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>manual_static_filter</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>964</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>DDCP achat billet nbr dep 19052021</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>manual_static_filter</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" id target_type_id name \\\n",
|
||
"0 217 56 DDCP PROMO Art contemporain - salle de chauffe... \n",
|
||
"1 701 56 consentement optin scolaires \n",
|
||
"2 134 56 DDCP Newsletter jeune public \n",
|
||
"3 700 56 consentement optout scolaires \n",
|
||
"4 964 56 DDCP achat billet nbr dep 19052021 \n",
|
||
"\n",
|
||
" target_type_is_import target_type_name \n",
|
||
"0 False manual_static_filter \n",
|
||
"1 False manual_static_filter \n",
|
||
"2 False manual_static_filter \n",
|
||
"3 False manual_static_filter \n",
|
||
"4 False manual_static_filter "
|
||
]
|
||
},
|
||
"execution_count": 10,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# 4.1. merge target with target type\n",
|
||
"\n",
|
||
"df1_targets_full = pd.merge(df1_targets[[\"id\", \"target_type_id\", \"name\"]], df1_target_types[[\"id\",\"is_import\",\"name\"]].add_prefix(\"target_type_\"), left_on='target_type_id', right_on='target_type_id', how='left')\n",
|
||
"df1_targets_full.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 11,
|
||
"id": "d48c1fff-73c2-4e75-8799-da2b80694be7",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"# 4.2. merge df1_customer_target_mappings with df1_targets_full\n",
|
||
"\n",
|
||
"# change the position of the column target type id\n",
|
||
"\n",
|
||
"# Spécifiez le nom de la colonne à déplacer et la colonne après laquelle vous souhaitez la placer\n",
|
||
"column_to_move = 'target_type_id'\n",
|
||
"\n",
|
||
"# Récupérez l'index de la colonne de référence\n",
|
||
"reference_index = df1_targets_full.columns.get_loc(\"target_type_name\")\n",
|
||
"\n",
|
||
"# Créez une copie de la colonne que vous voulez déplacer\n",
|
||
"column_copy = df1_targets_full[column_to_move].copy()\n",
|
||
"\n",
|
||
"# Supprimez la colonne d'origine\n",
|
||
"df1_targets_full = df1_targets_full.drop(column_to_move, axis=1)\n",
|
||
"\n",
|
||
"# Utilisez la méthode insert pour déplacer la colonne à la nouvelle position\n",
|
||
"df1_targets_full.insert(reference_index - 1, column_to_move, column_copy)"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 12,
|
||
"id": "a874514a-c7dc-42d4-a440-dedd3a270e24",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>target_id</th>\n",
|
||
" <th>target_name</th>\n",
|
||
" <th>target_type_is_import</th>\n",
|
||
" <th>target_type_id</th>\n",
|
||
" <th>target_type_name</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>217</td>\n",
|
||
" <td>DDCP PROMO Art contemporain - salle de chauffe...</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>manual_static_filter</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>701</td>\n",
|
||
" <td>consentement optin scolaires</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>manual_static_filter</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>134</td>\n",
|
||
" <td>DDCP Newsletter jeune public</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>manual_static_filter</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>700</td>\n",
|
||
" <td>consentement optout scolaires</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>manual_static_filter</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>964</td>\n",
|
||
" <td>DDCP achat billet nbr dep 19052021</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>manual_static_filter</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" target_id target_name \\\n",
|
||
"0 217 DDCP PROMO Art contemporain - salle de chauffe... \n",
|
||
"1 701 consentement optin scolaires \n",
|
||
"2 134 DDCP Newsletter jeune public \n",
|
||
"3 700 consentement optout scolaires \n",
|
||
"4 964 DDCP achat billet nbr dep 19052021 \n",
|
||
"\n",
|
||
" target_type_is_import target_type_id target_type_name \n",
|
||
"0 False 56 manual_static_filter \n",
|
||
"1 False 56 manual_static_filter \n",
|
||
"2 False 56 manual_static_filter \n",
|
||
"3 False 56 manual_static_filter \n",
|
||
"4 False 56 manual_static_filter "
|
||
]
|
||
},
|
||
"execution_count": 12,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df1_targets_full = df1_targets_full.rename(columns=lambda x: 'target_' + x if not x.startswith('target_') else x)\n",
|
||
"df1_targets_full.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 18,
|
||
"id": "0db0172a-5119-4b7f-97f8-36fc5c985205",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
" vertical-align: top;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>id</th>\n",
|
||
" <th>customer_id</th>\n",
|
||
" <th>target_id</th>\n",
|
||
" <th>target_name</th>\n",
|
||
" <th>target_type_is_import</th>\n",
|
||
" <th>target_type_id</th>\n",
|
||
" <th>target_type_name</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>1184824</td>\n",
|
||
" <td>645400</td>\n",
|
||
" <td>130</td>\n",
|
||
" <td>DDCP PROMO Réseau livres</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>manual_static_filter</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>1184825</td>\n",
|
||
" <td>645400</td>\n",
|
||
" <td>345</td>\n",
|
||
" <td>Inscrits NL générale site web</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>manual_static_filter</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>1184828</td>\n",
|
||
" <td>645402</td>\n",
|
||
" <td>126</td>\n",
|
||
" <td>DDCP PROMO Art contemporain</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>manual_static_filter</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>1184829</td>\n",
|
||
" <td>645403</td>\n",
|
||
" <td>126</td>\n",
|
||
" <td>DDCP PROMO Art contemporain</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>manual_static_filter</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>1295770</td>\n",
|
||
" <td>647301</td>\n",
|
||
" <td>346</td>\n",
|
||
" <td>Votre première liste</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>manual_static_filter</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>768019</th>\n",
|
||
" <td>2737545</td>\n",
|
||
" <td>666983</td>\n",
|
||
" <td>345</td>\n",
|
||
" <td>Inscrits NL générale site web</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>manual_static_filter</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>768020</th>\n",
|
||
" <td>2737546</td>\n",
|
||
" <td>666983</td>\n",
|
||
" <td>346</td>\n",
|
||
" <td>Votre première liste</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>manual_static_filter</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>768021</th>\n",
|
||
" <td>2737575</td>\n",
|
||
" <td>666986</td>\n",
|
||
" <td>346</td>\n",
|
||
" <td>Votre première liste</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>manual_static_filter</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>768022</th>\n",
|
||
" <td>2737576</td>\n",
|
||
" <td>666987</td>\n",
|
||
" <td>345</td>\n",
|
||
" <td>Inscrits NL générale site web</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>manual_static_filter</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>768023</th>\n",
|
||
" <td>2737577</td>\n",
|
||
" <td>666987</td>\n",
|
||
" <td>346</td>\n",
|
||
" <td>Votre première liste</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>56</td>\n",
|
||
" <td>manual_static_filter</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>768024 rows × 7 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" id customer_id target_id target_name \\\n",
|
||
"0 1184824 645400 130 DDCP PROMO Réseau livres \n",
|
||
"1 1184825 645400 345 Inscrits NL générale site web \n",
|
||
"2 1184828 645402 126 DDCP PROMO Art contemporain \n",
|
||
"3 1184829 645403 126 DDCP PROMO Art contemporain \n",
|
||
"4 1295770 647301 346 Votre première liste \n",
|
||
"... ... ... ... ... \n",
|
||
"768019 2737545 666983 345 Inscrits NL générale site web \n",
|
||
"768020 2737546 666983 346 Votre première liste \n",
|
||
"768021 2737575 666986 346 Votre première liste \n",
|
||
"768022 2737576 666987 345 Inscrits NL générale site web \n",
|
||
"768023 2737577 666987 346 Votre première liste \n",
|
||
"\n",
|
||
" target_type_is_import target_type_id target_type_name \n",
|
||
"0 False 56 manual_static_filter \n",
|
||
"1 False 56 manual_static_filter \n",
|
||
"2 False 56 manual_static_filter \n",
|
||
"3 False 56 manual_static_filter \n",
|
||
"4 False 56 manual_static_filter \n",
|
||
"... ... ... ... \n",
|
||
"768019 False 56 manual_static_filter \n",
|
||
"768020 False 56 manual_static_filter \n",
|
||
"768021 False 56 manual_static_filter \n",
|
||
"768022 False 56 manual_static_filter \n",
|
||
"768023 False 56 manual_static_filter \n",
|
||
"\n",
|
||
"[768024 rows x 7 columns]"
|
||
]
|
||
},
|
||
"execution_count": 18,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# finally, merge\n",
|
||
"\n",
|
||
"# pour df1_customer_target_mappings on enlève les colonnes name, extra_field, et updated_at (valeur égale à created_at)\n",
|
||
"# note : by making a left join on df1_customer_target_mappings, we suppress 2 targets that have no customer associated\n",
|
||
"\n",
|
||
"df1_customer_targets = pd.merge(df1_customer_target_mappings[[\"id\", \"customer_id\", \"target_id\"]], \n",
|
||
" df1_targets_full, left_on='target_id', right_on='target_id', how='left')\n",
|
||
"df1_customer_targets"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "52326267-c5ba-4e21-b8ab-4b4c62de75d1",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Campaign stats, campaigns"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 30,
|
||
"id": "06dca910-5c07-4ee1-bbf2-3b11b48ba1f2",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
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|
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|
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|
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||
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|
||
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|
||
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|
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|
||
" }\n",
|
||
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|
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|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>id</th>\n",
|
||
" <th>name</th>\n",
|
||
" <th>service_id</th>\n",
|
||
" <th>created_at</th>\n",
|
||
" <th>updated_at</th>\n",
|
||
" <th>process_id</th>\n",
|
||
" <th>report_url</th>\n",
|
||
" <th>category</th>\n",
|
||
" <th>to_be_synced</th>\n",
|
||
" <th>identifier</th>\n",
|
||
" <th>sent_at</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>1319613</td>\n",
|
||
" <td>newsletter enseignants janvier 2022</td>\n",
|
||
" <td>721</td>\n",
|
||
" <td>2022-01-14 16:06:42.586321+01:00</td>\n",
|
||
" <td>2022-02-03 14:17:27.112963+01:00</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>aba3b6fd5d186d28e06ff97135cade7f</td>\n",
|
||
" <td>2022-01-14 00:00:00+01:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>1319586</td>\n",
|
||
" <td>lsf_janvier_2022</td>\n",
|
||
" <td>717</td>\n",
|
||
" <td>2022-01-07 11:30:35.315895+01:00</td>\n",
|
||
" <td>2022-02-03 14:17:27.116171+01:00</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>788d986905533aba051261497ecffcbb</td>\n",
|
||
" <td>2022-01-07 00:00:00+01:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>1319282</td>\n",
|
||
" <td>Invitation à déjeuner au Mucem | Vernissage « ...</td>\n",
|
||
" <td>591</td>\n",
|
||
" <td>2021-09-28 12:50:24.448752+02:00</td>\n",
|
||
" <td>2022-02-03 14:17:27.119582+01:00</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>3493894fa4ea036cfc6433c3e2ee63b0</td>\n",
|
||
" <td>2021-09-28 00:00:00+02:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>1319283</td>\n",
|
||
" <td>Vacances de la Toussaint - centres des loisirs</td>\n",
|
||
" <td>590</td>\n",
|
||
" <td>2021-09-28 18:01:04.692073+02:00</td>\n",
|
||
" <td>2022-02-03 14:17:27.124408+01:00</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>08b255a5d42b89b0585260b6f2360bdd</td>\n",
|
||
" <td>2021-09-28 00:00:00+02:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>1319636</td>\n",
|
||
" <td>ddcp_promo_md_livemag</td>\n",
|
||
" <td>730</td>\n",
|
||
" <td>2022-01-27 18:00:41.053069+01:00</td>\n",
|
||
" <td>2022-02-03 14:17:27.127607+01:00</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>0.0</td>\n",
|
||
" <td>False</td>\n",
|
||
" <td>d5cfead94f5350c12c322b5b664544c1</td>\n",
|
||
" <td>2022-01-27 00:00:00+01:00</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" id name service_id \\\n",
|
||
"0 1319613 newsletter enseignants janvier 2022 721 \n",
|
||
"1 1319586 lsf_janvier_2022 717 \n",
|
||
"2 1319282 Invitation à déjeuner au Mucem | Vernissage « ... 591 \n",
|
||
"3 1319283 Vacances de la Toussaint - centres des loisirs 590 \n",
|
||
"4 1319636 ddcp_promo_md_livemag 730 \n",
|
||
"\n",
|
||
" created_at updated_at \\\n",
|
||
"0 2022-01-14 16:06:42.586321+01:00 2022-02-03 14:17:27.112963+01:00 \n",
|
||
"1 2022-01-07 11:30:35.315895+01:00 2022-02-03 14:17:27.116171+01:00 \n",
|
||
"2 2021-09-28 12:50:24.448752+02:00 2022-02-03 14:17:27.119582+01:00 \n",
|
||
"3 2021-09-28 18:01:04.692073+02:00 2022-02-03 14:17:27.124408+01:00 \n",
|
||
"4 2022-01-27 18:00:41.053069+01:00 2022-02-03 14:17:27.127607+01:00 \n",
|
||
"\n",
|
||
" process_id report_url category to_be_synced \\\n",
|
||
"0 NaN NaN 0.0 False \n",
|
||
"1 NaN NaN 0.0 False \n",
|
||
"2 NaN NaN 0.0 False \n",
|
||
"3 NaN NaN 0.0 False \n",
|
||
"4 NaN NaN 0.0 False \n",
|
||
"\n",
|
||
" identifier sent_at \n",
|
||
"0 aba3b6fd5d186d28e06ff97135cade7f 2022-01-14 00:00:00+01:00 \n",
|
||
"1 788d986905533aba051261497ecffcbb 2022-01-07 00:00:00+01:00 \n",
|
||
"2 3493894fa4ea036cfc6433c3e2ee63b0 2021-09-28 00:00:00+02:00 \n",
|
||
"3 08b255a5d42b89b0585260b6f2360bdd 2021-09-28 00:00:00+02:00 \n",
|
||
"4 d5cfead94f5350c12c322b5b664544c1 2022-01-27 00:00:00+01:00 "
|
||
]
|
||
},
|
||
"execution_count": 30,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# 1. campaigns\n",
|
||
"df1_campaigns.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 31,
|
||
"id": "83eaa447-9144-41ed-9e26-f0f23799a8fd",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
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"<style scoped>\n",
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|
||
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|
||
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>id</th>\n",
|
||
" <th>campaign_id</th>\n",
|
||
" <th>customer_id</th>\n",
|
||
" <th>opened_at</th>\n",
|
||
" <th>sent_at</th>\n",
|
||
" <th>delivered_at</th>\n",
|
||
" <th>created_at</th>\n",
|
||
" <th>updated_at</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>19793</td>\n",
|
||
" <td>58</td>\n",
|
||
" <td>112597</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>2021-03-28 18:01:09+02:00</td>\n",
|
||
" <td>2021-03-28 18:24:18+02:00</td>\n",
|
||
" <td>2021-03-28 18:34:20.616136+02:00</td>\n",
|
||
" <td>2022-04-15 22:52:04.397693+02:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>14211</td>\n",
|
||
" <td>58</td>\n",
|
||
" <td>113666</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>2021-03-28 18:01:09+02:00</td>\n",
|
||
" <td>2021-03-28 18:21:02+02:00</td>\n",
|
||
" <td>2021-03-28 18:21:04.297213+02:00</td>\n",
|
||
" <td>2022-04-15 22:52:04.397693+02:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>13150</td>\n",
|
||
" <td>58</td>\n",
|
||
" <td>280561</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>2021-03-28 18:00:59+02:00</td>\n",
|
||
" <td>2021-03-28 18:08:45+02:00</td>\n",
|
||
" <td>2021-03-28 18:18:49.991042+02:00</td>\n",
|
||
" <td>2022-04-15 22:52:04.397693+02:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>7073</td>\n",
|
||
" <td>58</td>\n",
|
||
" <td>101007</td>\n",
|
||
" <td>2021-03-28 20:11:06+02:00</td>\n",
|
||
" <td>2021-03-28 18:00:59+02:00</td>\n",
|
||
" <td>2021-03-28 18:09:47+02:00</td>\n",
|
||
" <td>2021-03-28 18:09:50.915354+02:00</td>\n",
|
||
" <td>2022-04-15 22:52:04.397693+02:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>5175</td>\n",
|
||
" <td>58</td>\n",
|
||
" <td>103972</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>2021-03-28 18:01:06+02:00</td>\n",
|
||
" <td>2021-03-28 18:05:03+02:00</td>\n",
|
||
" <td>2021-03-28 18:05:08.507398+02:00</td>\n",
|
||
" <td>2022-04-15 22:52:04.397693+02:00</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" id campaign_id customer_id opened_at \\\n",
|
||
"0 19793 58 112597 NaN \n",
|
||
"1 14211 58 113666 NaN \n",
|
||
"2 13150 58 280561 NaN \n",
|
||
"3 7073 58 101007 2021-03-28 20:11:06+02:00 \n",
|
||
"4 5175 58 103972 NaN \n",
|
||
"\n",
|
||
" sent_at delivered_at \\\n",
|
||
"0 2021-03-28 18:01:09+02:00 2021-03-28 18:24:18+02:00 \n",
|
||
"1 2021-03-28 18:01:09+02:00 2021-03-28 18:21:02+02:00 \n",
|
||
"2 2021-03-28 18:00:59+02:00 2021-03-28 18:08:45+02:00 \n",
|
||
"3 2021-03-28 18:00:59+02:00 2021-03-28 18:09:47+02:00 \n",
|
||
"4 2021-03-28 18:01:06+02:00 2021-03-28 18:05:03+02:00 \n",
|
||
"\n",
|
||
" created_at updated_at \n",
|
||
"0 2021-03-28 18:34:20.616136+02:00 2022-04-15 22:52:04.397693+02:00 \n",
|
||
"1 2021-03-28 18:21:04.297213+02:00 2022-04-15 22:52:04.397693+02:00 \n",
|
||
"2 2021-03-28 18:18:49.991042+02:00 2022-04-15 22:52:04.397693+02:00 \n",
|
||
"3 2021-03-28 18:09:50.915354+02:00 2022-04-15 22:52:04.397693+02:00 \n",
|
||
"4 2021-03-28 18:05:08.507398+02:00 2022-04-15 22:52:04.397693+02:00 "
|
||
]
|
||
},
|
||
"execution_count": 31,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# 2. campaigns stats\n",
|
||
"df1_campaign_stats.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 34,
|
||
"id": "7f25eb1b-e7c8-4715-bc30-7ac29a7181ac",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
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|
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|
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|
||
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|
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
||
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|
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|
||
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|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>id</th>\n",
|
||
" <th>campaign_id</th>\n",
|
||
" <th>customer_id</th>\n",
|
||
" <th>opened_at</th>\n",
|
||
" <th>sent_at</th>\n",
|
||
" <th>delivered_at</th>\n",
|
||
" <th>campaign_name</th>\n",
|
||
" <th>campaign_service_id</th>\n",
|
||
" <th>campaign_sent_at</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>19793</td>\n",
|
||
" <td>58</td>\n",
|
||
" <td>112597</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>2021-03-28 18:01:09+02:00</td>\n",
|
||
" <td>2021-03-28 18:24:18+02:00</td>\n",
|
||
" <td>Le Mucem chez vous, gardons le lien #22</td>\n",
|
||
" <td>404</td>\n",
|
||
" <td>2021-03-28 00:00:00+01:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>14211</td>\n",
|
||
" <td>58</td>\n",
|
||
" <td>113666</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>2021-03-28 18:01:09+02:00</td>\n",
|
||
" <td>2021-03-28 18:21:02+02:00</td>\n",
|
||
" <td>Le Mucem chez vous, gardons le lien #22</td>\n",
|
||
" <td>404</td>\n",
|
||
" <td>2021-03-28 00:00:00+01:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>13150</td>\n",
|
||
" <td>58</td>\n",
|
||
" <td>280561</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>2021-03-28 18:00:59+02:00</td>\n",
|
||
" <td>2021-03-28 18:08:45+02:00</td>\n",
|
||
" <td>Le Mucem chez vous, gardons le lien #22</td>\n",
|
||
" <td>404</td>\n",
|
||
" <td>2021-03-28 00:00:00+01:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>7073</td>\n",
|
||
" <td>58</td>\n",
|
||
" <td>101007</td>\n",
|
||
" <td>2021-03-28 20:11:06+02:00</td>\n",
|
||
" <td>2021-03-28 18:00:59+02:00</td>\n",
|
||
" <td>2021-03-28 18:09:47+02:00</td>\n",
|
||
" <td>Le Mucem chez vous, gardons le lien #22</td>\n",
|
||
" <td>404</td>\n",
|
||
" <td>2021-03-28 00:00:00+01:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>5175</td>\n",
|
||
" <td>58</td>\n",
|
||
" <td>103972</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>2021-03-28 18:01:06+02:00</td>\n",
|
||
" <td>2021-03-28 18:05:03+02:00</td>\n",
|
||
" <td>Le Mucem chez vous, gardons le lien #22</td>\n",
|
||
" <td>404</td>\n",
|
||
" <td>2021-03-28 00:00:00+01:00</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" id campaign_id customer_id opened_at \\\n",
|
||
"0 19793 58 112597 NaN \n",
|
||
"1 14211 58 113666 NaN \n",
|
||
"2 13150 58 280561 NaN \n",
|
||
"3 7073 58 101007 2021-03-28 20:11:06+02:00 \n",
|
||
"4 5175 58 103972 NaN \n",
|
||
"\n",
|
||
" sent_at delivered_at \\\n",
|
||
"0 2021-03-28 18:01:09+02:00 2021-03-28 18:24:18+02:00 \n",
|
||
"1 2021-03-28 18:01:09+02:00 2021-03-28 18:21:02+02:00 \n",
|
||
"2 2021-03-28 18:00:59+02:00 2021-03-28 18:08:45+02:00 \n",
|
||
"3 2021-03-28 18:00:59+02:00 2021-03-28 18:09:47+02:00 \n",
|
||
"4 2021-03-28 18:01:06+02:00 2021-03-28 18:05:03+02:00 \n",
|
||
"\n",
|
||
" campaign_name campaign_service_id \\\n",
|
||
"0 Le Mucem chez vous, gardons le lien #22 404 \n",
|
||
"1 Le Mucem chez vous, gardons le lien #22 404 \n",
|
||
"2 Le Mucem chez vous, gardons le lien #22 404 \n",
|
||
"3 Le Mucem chez vous, gardons le lien #22 404 \n",
|
||
"4 Le Mucem chez vous, gardons le lien #22 404 \n",
|
||
"\n",
|
||
" campaign_sent_at \n",
|
||
"0 2021-03-28 00:00:00+01:00 \n",
|
||
"1 2021-03-28 00:00:00+01:00 \n",
|
||
"2 2021-03-28 00:00:00+01:00 \n",
|
||
"3 2021-03-28 00:00:00+01:00 \n",
|
||
"4 2021-03-28 00:00:00+01:00 "
|
||
]
|
||
},
|
||
"execution_count": 34,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"# 3. merge campaigns and campaigns stats\n",
|
||
"\n",
|
||
"df1_campaigns_full = pd.merge(df1_campaign_stats[[\"id\", \"campaign_id\", \"customer_id\", \"opened_at\", \"sent_at\", \"delivered_at\"]], \n",
|
||
" df1_campaigns[[\"id\", \"name\", \"service_id\", \"sent_at\"]].add_prefix(\"campaign_\"),\n",
|
||
" on = \"campaign_id\", how = \"left\")\n",
|
||
"df1_campaigns_full.head()"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "87fc686a-4a80-40ab-9987-20d2774f3055",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Link stats"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 35,
|
||
"id": "2f9df2d0-8a23-496b-8e92-617285f64530",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
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"<style scoped>\n",
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|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>id</th>\n",
|
||
" <th>clicked_at</th>\n",
|
||
" <th>link_id</th>\n",
|
||
" <th>customer_id</th>\n",
|
||
" <th>created_at</th>\n",
|
||
" <th>updated_at</th>\n",
|
||
" </tr>\n",
|
||
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|
||
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|
||
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|
||
" <th>0</th>\n",
|
||
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|
||
" <td>2021-03-26 16:30:36+01:00</td>\n",
|
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" <td>1</td>\n",
|
||
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|
||
" <td>2021-03-26 15:30:37.050161+01:00</td>\n",
|
||
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|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>2</td>\n",
|
||
" <td>2021-03-26 17:16:34+01:00</td>\n",
|
||
" <td>2</td>\n",
|
||
" <td>119768</td>\n",
|
||
" <td>2021-03-26 16:16:34.950871+01:00</td>\n",
|
||
" <td>2021-03-26 16:16:34.950871+01:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>272</td>\n",
|
||
" <td>2021-03-28 20:03:32+02:00</td>\n",
|
||
" <td>42</td>\n",
|
||
" <td>113105</td>\n",
|
||
" <td>2021-03-28 18:03:32.736394+02:00</td>\n",
|
||
" <td>2021-03-28 18:03:32.736394+02:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>4</td>\n",
|
||
" <td>2021-03-26 17:43:19+01:00</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>272280</td>\n",
|
||
" <td>2021-03-26 16:43:19.338321+01:00</td>\n",
|
||
" <td>2021-03-26 16:43:19.338321+01:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>5</td>\n",
|
||
" <td>2021-03-26 17:46:00+01:00</td>\n",
|
||
" <td>3</td>\n",
|
||
" <td>105095</td>\n",
|
||
" <td>2021-03-26 16:46:00.502945+01:00</td>\n",
|
||
" <td>2021-03-26 16:46:00.502945+01:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" <td>...</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>151046</th>\n",
|
||
" <td>243553</td>\n",
|
||
" <td>2023-11-09 16:34:27+01:00</td>\n",
|
||
" <td>14666</td>\n",
|
||
" <td>998</td>\n",
|
||
" <td>2023-11-09 15:34:29.425425+01:00</td>\n",
|
||
" <td>2023-11-09 15:34:29.425425+01:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>151047</th>\n",
|
||
" <td>243554</td>\n",
|
||
" <td>2023-11-09 16:34:35+01:00</td>\n",
|
||
" <td>14670</td>\n",
|
||
" <td>998</td>\n",
|
||
" <td>2023-11-09 15:34:37.505505+01:00</td>\n",
|
||
" <td>2023-11-09 15:34:37.505505+01:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>151048</th>\n",
|
||
" <td>243559</td>\n",
|
||
" <td>2023-11-09 16:51:15+01:00</td>\n",
|
||
" <td>14686</td>\n",
|
||
" <td>82923</td>\n",
|
||
" <td>2023-11-09 15:51:17.439518+01:00</td>\n",
|
||
" <td>2023-11-09 15:51:17.439518+01:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>151049</th>\n",
|
||
" <td>243561</td>\n",
|
||
" <td>2023-11-09 16:59:42+01:00</td>\n",
|
||
" <td>14677</td>\n",
|
||
" <td>82923</td>\n",
|
||
" <td>2023-11-09 15:59:44.030922+01:00</td>\n",
|
||
" <td>2023-11-09 15:59:44.030922+01:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>151050</th>\n",
|
||
" <td>243564</td>\n",
|
||
" <td>2023-11-09 17:16:41+01:00</td>\n",
|
||
" <td>14691</td>\n",
|
||
" <td>1254355</td>\n",
|
||
" <td>2023-11-09 16:16:43.012932+01:00</td>\n",
|
||
" <td>2023-11-09 16:16:43.012932+01:00</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>151051 rows × 6 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" id clicked_at link_id customer_id \\\n",
|
||
"0 1 2021-03-26 16:30:36+01:00 1 284033 \n",
|
||
"1 2 2021-03-26 17:16:34+01:00 2 119768 \n",
|
||
"2 272 2021-03-28 20:03:32+02:00 42 113105 \n",
|
||
"3 4 2021-03-26 17:43:19+01:00 3 272280 \n",
|
||
"4 5 2021-03-26 17:46:00+01:00 3 105095 \n",
|
||
"... ... ... ... ... \n",
|
||
"151046 243553 2023-11-09 16:34:27+01:00 14666 998 \n",
|
||
"151047 243554 2023-11-09 16:34:35+01:00 14670 998 \n",
|
||
"151048 243559 2023-11-09 16:51:15+01:00 14686 82923 \n",
|
||
"151049 243561 2023-11-09 16:59:42+01:00 14677 82923 \n",
|
||
"151050 243564 2023-11-09 17:16:41+01:00 14691 1254355 \n",
|
||
"\n",
|
||
" created_at updated_at \n",
|
||
"0 2021-03-26 15:30:37.050161+01:00 2021-03-26 15:30:37.050161+01:00 \n",
|
||
"1 2021-03-26 16:16:34.950871+01:00 2021-03-26 16:16:34.950871+01:00 \n",
|
||
"2 2021-03-28 18:03:32.736394+02:00 2021-03-28 18:03:32.736394+02:00 \n",
|
||
"3 2021-03-26 16:43:19.338321+01:00 2021-03-26 16:43:19.338321+01:00 \n",
|
||
"4 2021-03-26 16:46:00.502945+01:00 2021-03-26 16:46:00.502945+01:00 \n",
|
||
"... ... ... \n",
|
||
"151046 2023-11-09 15:34:29.425425+01:00 2023-11-09 15:34:29.425425+01:00 \n",
|
||
"151047 2023-11-09 15:34:37.505505+01:00 2023-11-09 15:34:37.505505+01:00 \n",
|
||
"151048 2023-11-09 15:51:17.439518+01:00 2023-11-09 15:51:17.439518+01:00 \n",
|
||
"151049 2023-11-09 15:59:44.030922+01:00 2023-11-09 15:59:44.030922+01:00 \n",
|
||
"151050 2023-11-09 16:16:43.012932+01:00 2023-11-09 16:16:43.012932+01:00 \n",
|
||
"\n",
|
||
"[151051 rows x 6 columns]"
|
||
]
|
||
},
|
||
"execution_count": 35,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df1_link_stats"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "aad6fb14-9694-4c1e-9885-1ebe0f38afe3",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Bonus : peut-on lier link stats et campaign ? Non, les dates à laquelle le client clique sur le lie/ouvre la campagne ne permettent pas de faire coincider link_id et campaign_id"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 67,
|
||
"id": "8be7c974-72c9-4e31-a874-d7e5d2719fb3",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/html": [
|
||
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|
||
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||
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|
||
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|
||
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|
||
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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||
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|
||
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|
||
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|
||
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|
||
" <th></th>\n",
|
||
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|
||
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|
||
" <th>link_id</th>\n",
|
||
" <th>customer_id</th>\n",
|
||
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|
||
" <th>updated_at</th>\n",
|
||
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|
||
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|
||
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|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>1</td>\n",
|
||
" <td>2021-03-26 16:30:36+01:00</td>\n",
|
||
" <td>1</td>\n",
|
||
" <td>284033</td>\n",
|
||
" <td>2021-03-26 15:30:37.050161+01:00</td>\n",
|
||
" <td>2021-03-26 15:30:37.050161+01:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>7526</th>\n",
|
||
" <td>14018</td>\n",
|
||
" <td>2021-05-10 18:07:59+02:00</td>\n",
|
||
" <td>312</td>\n",
|
||
" <td>284033</td>\n",
|
||
" <td>2021-05-10 16:08:00.541322+02:00</td>\n",
|
||
" <td>2021-05-10 16:08:00.541322+02:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>96848</th>\n",
|
||
" <td>133449</td>\n",
|
||
" <td>2021-03-25 08:42:22+01:00</td>\n",
|
||
" <td>4</td>\n",
|
||
" <td>284033</td>\n",
|
||
" <td>2022-04-15 22:51:01.994343+02:00</td>\n",
|
||
" <td>2022-04-15 22:51:01.994343+02:00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>115728</th>\n",
|
||
" <td>207544</td>\n",
|
||
" <td>2022-08-23 10:33:04+02:00</td>\n",
|
||
" <td>12365</td>\n",
|
||
" <td>284033</td>\n",
|
||
" <td>2022-08-23 08:33:06.498908+02:00</td>\n",
|
||
" <td>2022-08-23 08:33:06.498908+02:00</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" id clicked_at link_id customer_id \\\n",
|
||
"0 1 2021-03-26 16:30:36+01:00 1 284033 \n",
|
||
"7526 14018 2021-05-10 18:07:59+02:00 312 284033 \n",
|
||
"96848 133449 2021-03-25 08:42:22+01:00 4 284033 \n",
|
||
"115728 207544 2022-08-23 10:33:04+02:00 12365 284033 \n",
|
||
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|
||
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|
||
"0 2021-03-26 15:30:37.050161+01:00 2021-03-26 15:30:37.050161+01:00 \n",
|
||
"7526 2021-05-10 16:08:00.541322+02:00 2021-05-10 16:08:00.541322+02:00 \n",
|
||
"96848 2022-04-15 22:51:01.994343+02:00 2022-04-15 22:51:01.994343+02:00 \n",
|
||
"115728 2022-08-23 08:33:06.498908+02:00 2022-08-23 08:33:06.498908+02:00 "
|
||
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|
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|
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|
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|
||
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|
||
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|
||
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|
||
"source": [
|
||
"df1_link_stats[df1_link_stats[\"customer_id\"] == 284033]"
|
||
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|
||
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|
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|
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|
||
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||
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|
||
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|
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