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{
"cells": [
{
"cell_type": "code",
"execution_count": 85,
"metadata": {},
"outputs": [],
"source": [
"table_application = \"\"\"\n",
" CREATE TABLE application (\n",
" application_id int,\n",
" application_number varchar(10),\n",
" amount int,\n",
" amount_paid int,\n",
" state varchar(10),\n",
" office_code varchar(10), \n",
" service_code varchar(10), \n",
" date_created datetime,\n",
" date_paid datetime,\n",
" date_processed datetime,\n",
" PRIMARY KEY (application_id)\n",
" );\n",
"\"\"\"\n",
"\n",
"table_office =\"\"\"\n",
" CREATE TABLE Office (\n",
" office_code varchar(10),\n",
" office_name varchar(20),\n",
" location_code varchar(10),\n",
" PRIMARY KEY (office_code)\n",
" );\n",
"\"\"\"\n",
"\n",
"table_location =\"\"\"\n",
" CREATE TABLE location (\n",
" location_code varchar(10),\n",
" location_name varchar(20),\n",
" PRIMARY KEY (location_code)\n",
" );\n",
"\"\"\"\n",
"\n",
"table_service =\"\"\"\n",
" CREATE TABLE service (\n",
" service_code varchar(10),\n",
" service_name varchar(20),\n",
" PRIMARY KEY (service_code)\n",
" );\n",
"\"\"\""
]
},
{
"cell_type": "code",
"execution_count": 86,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<sqlite3.Cursor at 0x143b448c0>"
]
},
"execution_count": 86,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Create the data base\n",
"import sqlite3\n",
"\n",
"DB_FILENAME = 'irembo_application_4.db'\n",
"\n",
"conn = sqlite3.connect(DB_FILENAME)\n",
"cursor = conn.cursor()\n",
"cursor.execute(table_application)\n",
"cursor.execute(table_office)\n",
"cursor.execute(table_location)\n",
"cursor.execute(table_service)\n"
]
},
{
"cell_type": "code",
"execution_count": 78,
"metadata": {},
"outputs": [],
"source": [
"conn.close()"
]
},
{
"cell_type": "code",
"execution_count": 87,
"metadata": {},
"outputs": [],
"source": [
"# --\n",
"# Define Office, Location, Application and Service information\n",
"# --\n",
"\n",
"office_data = [\n",
" ('O1', 'Office 1', 'L1'),\n",
" ('O2', 'Office 2', 'L2'),\n",
" ('O3', 'Office 3', 'L3'),\n",
" ('O4', 'Office 4', 'L4'),\n",
" ('O5', 'Office 5', 'L5'),\n",
" ('O6', 'Office 6', 'L6'),\n",
" ('O7', 'Office 7', 'L7'),\n",
" ('O8', 'Office 8', 'L8'),\n",
" ('O9', 'Office 9', 'L9'),\n",
" ('O10', 'Office 10', 'L10'),\n",
" ('O11', 'Office 11', 'L11'),\n",
" ('O12', 'Office 12', 'L12'),\n",
" ('O13', 'Office 13', 'L13'),\n",
" ('O14', 'Office 14', 'L14'),\n",
" ('O15', 'Office 15', 'L15'),\n",
" ('O16', 'Office 16', 'L16'),\n",
" ('O17', 'Office 17', 'L17'),\n",
"]\n",
"\n",
"location_data = [\n",
" ('L1', 'Location 1'),\n",
" ('L2', 'Location 2'),\n",
" ('L3', 'Location 3'),\n",
" ('L4', 'Location 4'),\n",
" ('L5', 'Location 5'),\n",
" ('L6', 'Location 6'),\n",
" ('L7', 'Location 7'),\n",
" ('L8', 'Location 8'),\n",
"]\n",
"\n",
"service_data = [\n",
" ('S1', 'Service 1'),\n",
" ('S2', 'Service 2'),\n",
" ('S3', 'Service 3'),\n",
" ('S4', 'Service 4'),\n",
" ('S5', 'Service 5'),\n",
" ('S6', 'Service 6'),\n",
" ('S7', 'Service 7'),\n",
" ('S8', 'Service 8'),\n",
"]\n",
"\n",
"conn = sqlite3.connect(DB_FILENAME)\n",
"cursor = conn.cursor()\n",
"cursor.executemany('INSERT INTO Office VALUES (?,?,?)', office_data)\n",
"cursor.executemany('INSERT INTO Location VALUES (?,?)', location_data)\n",
"cursor.executemany('INSERT INTO Service VALUES (?,?)', service_data)\n",
"conn.commit()\n",
"conn.close()\n"
]
},
{
"cell_type": "code",
"execution_count": 88,
"metadata": {},
"outputs": [],
"source": [
"import string\n",
"import random\n",
"from datetime import datetime, timedelta\n",
"\n",
"states = ['APPROVED','REJECTED','PENDING_PAYMENT', 'PAID']\n",
"prices = [1000, 10000,25000, 20000, 0]\n",
"\n",
"# or a function\n",
"def gen_datetime(min_year=2021, max_year=datetime.now().year):\n",
" # generate a datetime in format yyyy-mm-dd hh:mm:ss.000000\n",
"\n",
" today_datetime = datetime.now()\n",
" return today_datetime - timedelta(days=random.randint(1,1100), hours=random.randint(1,23), minutes=random.randint(1,60), seconds=random.randint(1,60))\n",
" # start = datetime(min_year, 1, 1, 00, 00, 00)\n",
" # years = max_year - min_year + 1\n",
" # end = start + timedelta(days=365 * years)\n",
" # return start + (end - start) * random.random()\n",
"\n",
"def generate_random_application(states=states):\n",
" N = 8\n",
" application_data = []\n",
" strformat = '%Y-%m-%d %H:%M:%S'\n",
" for i in range(100000,150000):\n",
" creationdate = gen_datetime()\n",
" price = prices[random.randint(0,4)]\n",
" application = (\n",
" i+1,\n",
" 'A0' + ''.join(random.choices(string.ascii_uppercase + string.digits, k=8)), \n",
" price, \n",
" price, \n",
" states[random.randint(0,3)],\n",
" 'O' +''.join(str(random.randint(1,8))),\n",
" 'S' +''.join(str(random.randint(1,8))),\n",
" creationdate.strftime(strformat),\n",
" (creationdate + timedelta(hours=9)).strftime(strformat),\n",
" (creationdate + timedelta(hours=24)).strftime(strformat),\n",
" )\n",
" \n",
" application_data.append(application)\n",
" return application_data \n",
"\n",
"application_data = generate_random_application()\n",
"\n",
"conn = sqlite3.connect(DB_FILENAME)\n",
"cursor = conn.cursor()\n",
"cursor.executemany('INSERT INTO Application VALUES (?,?,?,?,?,?,?,?,?,?)', application_data)\n",
"conn.commit()\n",
"conn.close()\n"
]
},
{
"cell_type": "code",
"execution_count": 81,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[('2024-04-20', 1), ('2024-04-21', 1), ('2024-04-25', 1)]\n"
]
}
],
"source": [
"def run_query(query=''):\n",
" conn = sqlite3.connect(DB_FILENAME)\n",
" cursor = conn.cursor()\n",
" cursor.execute(query) \n",
" data = cursor.fetchall()\n",
" print(data)\n",
" conn.close\n",
"\n",
"\n",
"\n",
"\n",
"query_trend = \"\"\"\n",
"SELECT \n",
" strftime('%Y-%m-%d', date_created) AS application_date,\n",
" COUNT(*) AS approved_applications\n",
"FROM \n",
" application\n",
"JOIN \n",
" Office ON application.office_code = Office.office_code\n",
"JOIN \n",
" location ON Office.location_code = location.location_code\n",
"WHERE \n",
" application.state = 'APPROVED'\n",
" AND location.location_name = 'Location 1'\n",
" AND date_created >= date('now', '-9 days') -- last 10 days including today\n",
" AND date_created <= date('now') -- up to today\n",
"GROUP BY \n",
" strftime('%Y-%m-%d', date_created)\n",
"ORDER BY \n",
" strftime('%Y-%m-%d', date_created) ASC;\n",
"\"\"\"\n",
"\n",
"run_query(query=query_trend)\n"
]
},
{
"cell_type": "code",
"execution_count": 82,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[('2021-01', 27), ('2021-02', 31), ('2021-03', 30), ('2021-04', 33), ('2021-05', 40), ('2021-06', 28), ('2021-07', 27), ('2021-08', 30), ('2021-09', 31), ('2021-10', 35), ('2021-11', 26), ('2021-12', 33), ('2022-01', 32), ('2022-02', 34), ('2022-03', 39), ('2022-04', 39), ('2022-05', 30), ('2022-06', 29), ('2022-07', 35), ('2022-08', 31), ('2022-09', 37), ('2022-10', 31), ('2022-11', 31), ('2022-12', 22), ('2023-01', 33), ('2023-02', 35), ('2023-03', 34), ('2023-04', 35), ('2023-05', 28), ('2023-06', 32), ('2023-07', 26), ('2023-08', 30), ('2023-09', 26), ('2023-10', 36), ('2023-11', 37), ('2023-12', 39), ('2024-01', 39), ('2024-02', 33), ('2024-03', 29), ('2024-04', 28), ('2024-05', 37), ('2024-06', 33), ('2024-07', 33), ('2024-08', 35), ('2024-09', 34), ('2024-10', 36), ('2024-11', 26), ('2024-12', 41)]\n"
]
}
],
"source": [
"query = \"\"\"\n",
"SELECT \n",
" strftime('%Y-%m', date_paid) AS month,\n",
" COUNT(*) AS approved_applications\n",
"FROM \n",
" application\n",
"WHERE \n",
" amount_paid = amount AND state='APPROVED' AND office_code IN (\n",
" SELECT \n",
" o.office_code\n",
" FROM \n",
" Office o, location l\n",
" WHERE \n",
" o.location_code=l.location_code AND l.location_name='Location 2'\n",
" )\n",
"GROUP BY \n",
" month\n",
"ORDER BY \n",
" month;\n",
"\"\"\"\n",
"\n",
"run_query(query=query)"
]
},
{
"cell_type": "code",
"execution_count": 83,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[('2023-04', 34), ('2023-05', 33), ('2023-06', 32), ('2023-07', 34), ('2023-08', 32), ('2023-09', 35), ('2023-10', 37), ('2023-11', 31), ('2023-12', 32), ('2024-01', 36), ('2024-02', 28), ('2024-03', 22)]\n"
]
}
],
"source": [
"query=\"\"\"\n",
"WITH monthly_trend AS (\n",
" SELECT strftime('%Y-%m', date_created) AS month,\n",
" COUNT(*) AS approved_applications\n",
" FROM application\n",
" WHERE state = 'APPROVED'\n",
" AND strftime('%Y-%m', date_created) >= strftime('%Y-%m', 'now', '-12 months')\n",
" AND office_code IN (SELECT office_code FROM Office WHERE location_code = 'L1')\n",
" GROUP BY month\n",
")\n",
"SELECT all_months.month, COALESCE(approved_applications, 0) AS approved_applications\n",
"FROM (\n",
" SELECT strftime('%Y-%m', 'now', '-12 months') AS month\n",
" UNION ALL\n",
" SELECT strftime('%Y-%m', 'now', '-11 months')\n",
" UNION ALL\n",
" SELECT strftime('%Y-%m', 'now', '-10 months')\n",
" UNION ALL\n",
" SELECT strftime('%Y-%m', 'now', '-9 months')\n",
" UNION ALL\n",
" SELECT strftime('%Y-%m', 'now', '-8 months')\n",
" UNION ALL\n",
" SELECT strftime('%Y-%m', 'now', '-7 months')\n",
" UNION ALL\n",
" SELECT strftime('%Y-%m', 'now', '-6 months')\n",
" UNION ALL\n",
" SELECT strftime('%Y-%m', 'now', '-5 months')\n",
" UNION ALL\n",
" SELECT strftime('%Y-%m', 'now', '-4 months')\n",
" UNION ALL\n",
" SELECT strftime('%Y-%m', 'now', '-3 months')\n",
" UNION ALL\n",
" SELECT strftime('%Y-%m', 'now', '-2 months')\n",
" UNION ALL\n",
" SELECT strftime('%Y-%m', 'now', '-1 months')\n",
") AS all_months\n",
"LEFT JOIN monthly_trend ON all_months.month = monthly_trend.month;\n",
"\n",
"\n",
"\"\"\"\n",
"\n",
"run_query(query=query)"
]
},
{
"cell_type": "code",
"execution_count": 84,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[('2023-04', 25), ('2023-05', 170), ('2023-06', 157), ('2023-07', 153), ('2023-08', 160), ('2023-09', 158), ('2023-10', 165), ('2023-11', 159), ('2023-12', 175), ('2024-01', 186), ('2024-02', 158), ('2024-03', 148), ('2024-04', 148), ('2024-05', 154), ('2024-06', 166), ('2024-07', 158), ('2024-08', 166), ('2024-09', 156), ('2024-10', 164), ('2024-11', 149), ('2024-12', 170)]\n"
]
}
],
"source": [
"query =\"\"\" \n",
"SELECT \n",
" strftime('%Y-%m', date_processed) AS month, \n",
" COUNT(*) as approved_applications\n",
"FROM application\n",
"WHERE state = 'APPROVED' AND office_code IN (\n",
" SELECT office_code FROM Office WHERE location_code in ('L1','L2','L3','L4','L5')\n",
") AND date_processed >= DATE('now', '-12 months')\n",
"GROUP BY strftime('%Y-%m', date_processed)\n",
"ORDER BY month;\n",
"\"\"\"\n",
"\n",
"run_query(query=query)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "sample-projects",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.2"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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