text accnt_status_hist
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"done\n"
]
}
],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import requests\n",
"import json\n",
"import copy\n",
"import math\n",
"import datetime\n",
"import random\n",
"import pprint\n",
"\n",
"print(\"done\")"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"https://klickly-internal-dashboard.herokuapp.com/reports/shopify_accounts_history/\n"
]
}
],
"source": [
"URL = \"https://klickly-internal-dashboard.herokuapp.com/reports/shopify_accounts_history/\"\n",
"local_URL = 'http://127.0.0.1:8000/reports/shopify_accounts_history/'\n",
"headers = {\n",
" 'PULSE': \"superduperpooperscooperflipflapflop\",\n",
" 'Content-Type': \"application/json\",\n",
" 'Cache-Control': \"no-cache\",\n",
" 'Postman-Token': \"5396227f-c5a2-5132-3dd9-353b12755559\"\n",
" }\n",
"local_headers = {\n",
" 'PULSE': \"superduperpooperscooper\",\n",
" 'Content-Type': \"application/json\",\n",
" 'Cache-Control': \"no-cache\",\n",
" 'Postman-Token': \"5396227f-c5a2-5132-3dd9-353b12755559\"\n",
" }\n",
"print(URL)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'2018-07-10'"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"today = str( datetime.date.today() )\n",
"today"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"./files/2-Shopify_History/shopify-klickly-app-history-2018-07-10.csv\n"
]
},
{
"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>Date</th>\n",
" <th>Event</th>\n",
" <th>Details</th>\n",
" <th>Billing on</th>\n",
" <th>Shop name</th>\n",
" <th>Shop country</th>\n",
" <th>Shop email</th>\n",
" <th>Shop domain</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>2017-09-07 19:43:23 UTC</td>\n",
" <td>Installed</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>xaviertest45</td>\n",
" <td>US</td>\n",
" <td>xavier+45@klickly.com</td>\n",
" <td>xaviertest45.myshopify.com</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>2017-09-07 21:20:33 UTC</td>\n",
" <td>Installed</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>Mickey's Girl</td>\n",
" <td>US</td>\n",
" <td>service@mickeysgirl.com</td>\n",
" <td>mickeys-girl.myshopify.com</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Date Event Details Billing on Shop name \\\n",
"0 2017-09-07 19:43:23 UTC Installed NaN NaN xaviertest45 \n",
"1 2017-09-07 21:20:33 UTC Installed NaN NaN Mickey's Girl \n",
"\n",
" Shop country Shop email Shop domain \n",
"0 US xavier+45@klickly.com xaviertest45.myshopify.com \n",
"1 US service@mickeysgirl.com mickeys-girl.myshopify.com "
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"thisstring = './files/2-Shopify_History/shopify-klickly-app-history-'+today+'.csv'\n",
"print(thisstring)\n",
"df = pd.read_csv(thisstring, encoding = 'utf8')\n",
"df.head(2)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"2863"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(df)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"df = df.tail(120)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"120"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"len(df)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"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>Date</th>\n",
" <th>Event</th>\n",
" <th>Details</th>\n",
" <th>Billing on</th>\n",
" <th>Shop name</th>\n",
" <th>Shop country</th>\n",
" <th>Shop email</th>\n",
" <th>Shop domain</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2743</th>\n",
" <td>2018-06-25 08:50:30</td>\n",
" <td>Installed</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>PRD natalia store valid</td>\n",
" <td>US</td>\n",
" <td>na.roshchyna@gmail.com</td>\n",
" <td>prd-natalia-store-valid.myshopify.com</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2744</th>\n",
" <td>2018-06-25 08:51:37</td>\n",
" <td>Uninstalled</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>PRD natalia store valid</td>\n",
" <td>US</td>\n",
" <td>na.roshchyna@gmail.com</td>\n",
" <td>prd-natalia-store-valid.myshopify.com</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2745</th>\n",
" <td>2018-06-25 08:54:25</td>\n",
" <td>Installed</td>\n",
" <td>NaN</td>\n",
" <td>NaN</td>\n",
" <td>PRD natalia store valid</td>\n",
" <td>US</td>\n",
" <td>na.roshchyna@gmail.com</td>\n",
" <td>prd-natalia-store-valid.myshopify.com</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Date Event Details Billing on \\\n",
"2743 2018-06-25 08:50:30 Installed NaN NaN \n",
"2744 2018-06-25 08:51:37 Uninstalled NaN NaN \n",
"2745 2018-06-25 08:54:25 Installed NaN NaN \n",
"\n",
" Shop name Shop country Shop email \\\n",
"2743 PRD natalia store valid US na.roshchyna@gmail.com \n",
"2744 PRD natalia store valid US na.roshchyna@gmail.com \n",
"2745 PRD natalia store valid US na.roshchyna@gmail.com \n",
"\n",
" Shop domain \n",
"2743 prd-natalia-store-valid.myshopify.com \n",
"2744 prd-natalia-store-valid.myshopify.com \n",
"2745 prd-natalia-store-valid.myshopify.com "
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df['Date'] = df['Date'].apply(lambda x: x.replace(' UTC',''))\n",
"df.head(3)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"97"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"event_dict = {}\n",
"# gac \"tried to fix some stuff for historical import\"\n",
"# .loc[0:100,:]\n",
"start = 0\n",
"end = 10000\n",
"for index, row in df.loc[start:end,:].iterrows():\n",
" name = row['Shop domain']\n",
" event_dict[name] = []\n",
"for index, row in df.loc[start:end,:].iterrows():\n",
" name = row['Shop domain']\n",
" new_event = {}\n",
" new_event['date'] = row['Date']#.split(' ')[0]\n",
" new_event['brand_name'] = row['Shop name']\n",
" new_event['email'] = row['Shop email']\n",
" new_event['event'] = row['Event']\n",
" new_event['country'] = row['Shop country']\n",
" event_dict[name].append(new_event)\n",
"len( event_dict )"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"200\n"
]
},
{
"data": {
"text/plain": [
"b'{\"updated\": 59, \"created\": 16, \"count\": 97}'"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"thisthing = json.dumps(event_dict)\n",
"response = requests.request(\"POST\", url=URL, data=thisthing, headers=headers ) # .content.decode('utf-8') \n",
"print( response.status_code )\n",
"response.content"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"***************************************** DONE *****************************************\n"
]
}
],
"source": [
"print( '***************************************** DONE *****************************************' )"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python [conda root]",
"language": "python",
"name": "conda-root-py"
},
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"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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