added flowmeterskid and started reports

This commit is contained in:
Nico Melone
2023-08-01 15:41:29 -05:00
parent 58415dfdd7
commit 70b2f7c763
32 changed files with 20292 additions and 28 deletions

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# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
# dependencies
/node_modules
/.pnp
.pnp.js
# testing
/coverage
# production
/build
# misc
.DS_Store
.env.local
.env.development.local
.env.test.local
.env.production.local
npm-debug.log*
yarn-debug.log*
yarn-error.log*

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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import logging, json, xlsxwriter\n",
"import pandas as pd\n",
"from datetime import datetime as dt\n",
"from datetime import timedelta as td\n",
"from tb_rest_client.rest_client_ce import *\n",
"from tb_rest_client.rest import ApiException"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"logging.basicConfig(level=logging.DEBUG,\n",
" format='%(asctime)s - %(levelname)s - %(module)s - %(lineno)d - %(message)s',\n",
" datefmt='%Y-%m-%d %H:%M:%S')"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"# ThingsBoard REST API URL\n",
"url = \"https://hp.henrypump.cloud\"\n",
"# Default Tenant Administrator credentials\n",
"username = \"henry.pump.automation@gmail.com\"\n",
"password = \"Henry Pump @ 2022\""
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"def getDevices(rest_client, customers,target_customer, page=0, pageSize=500):\n",
" for c in customers.data:\n",
" if c.name == target_customer:\n",
" cid = c.id.id\n",
" devices = rest_client.get_customer_devices(customer_id=cid, page_size=pageSize, page=page)\n",
" return devices.to_dict()"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"def getDeviceKeys(rest_client, devices,target_device):\n",
" try:\n",
" for d in devices['data']:\n",
" if d[\"name\"] == target_device:\n",
" did = d['id']['id']\n",
" eType = d['id']['entity_type']\n",
" keys = rest_client.get_timeseries_keys_v1(entity_type=eType, entity_id=did)\n",
" return eType, did, keys, None\n",
" return None,None,None,\"Device Not Found\"\n",
" except Exception as e:\n",
" print(e)\n",
" return (None, None, None, e)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"def getTelemetry(rest_client, devices, keys, start_ts, end_ts, entity_type, entity_id, limit):\n",
" return rest_client.get_timeseries(entity_type=entity_type, entity_id=entity_id, keys=keys, start_ts=start_ts, end_ts=end_ts, limit=limit)\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"def getTime(timeRequest):\n",
" start_ts, end_ts = 0,0\n",
" if timeRequest[\"type\"] == \"last\":\n",
" now = dt.now()\n",
" delta = td(days=timeRequest[\"days\"], seconds=timeRequest[\"seconds\"], microseconds=timeRequest[\"microseconds\"], milliseconds=timeRequest[\"milliseconds\"], minutes=timeRequest[\"minutes\"], hours=timeRequest[\"hours\"], weeks=timeRequest[\"weeks\"])\n",
" start_ts = str(int(dt.timestamp(now - delta) * 1000))\n",
" end_ts = str(int(dt.timestamp(now) * 1000))\n",
" \n",
" return (start_ts, end_ts)"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"def getThingsBoardData(url, username, password, targetCustomer, timeRequest):\n",
" # Creating the REST client object with context manager to get auto token refresh\n",
" with RestClientCE(base_url=url) as rest_client:\n",
" try:\n",
" # Auth with credentials\n",
" rest_client.login(username=username, password=password)\n",
" # Get customers > get devices under a target customer > get keys for devices > get data for devices\n",
" customers = rest_client.get_customers(page_size=\"100\", page=\"0\")\n",
" devices = getDevices(rest_client=rest_client, customers=customers, target_customer=targetCustomer)\n",
" telemetry = {}\n",
" for d in devices['data']:\n",
" entity_type, entity_id, keys, err = getDeviceKeys(rest_client=rest_client, devices=devices, target_device=d['name'])\n",
" start_ts, end_ts = getTime(timeRequest)\n",
" telemetry[d['name']] = getTelemetry(rest_client=rest_client, devices=devices, keys=','.join(keys), start_ts=start_ts, end_ts=end_ts, entity_id=entity_id, entity_type=entity_type, limit=25000)\n",
" return telemetry\n",
" except ApiException as e:\n",
" logging.error(e)\n",
" return False\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"def formatColumnName(telemetryName):\n",
" return \" \".join([x.capitalize() for x in telemetryName.split(\"_\")])"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"def getDataFrame(telemetry, ignore_keys): \n",
" df = pd.DataFrame()\n",
" #for location in telemetry.keys():\n",
" # Iterate through each datapoint within each location\n",
" for datapoint in telemetry.keys():\n",
" # Convert the datapoint list of dictionaries to a DataFrame\n",
" if datapoint not in ignore_keys:\n",
" temp_df = pd.DataFrame(telemetry[datapoint])\n",
" temp_df['ts'] = pd.to_datetime(temp_df['ts'], unit='ms').dt.tz_localize('UTC').dt.tz_convert('US/Central').dt.tz_localize(None)\n",
" # Set 'ts' as the index\n",
" temp_df.set_index('ts', inplace=True)\n",
" # Rename 'value' column to the name of the datapoint\n",
" temp_df.rename(columns={'value': formatColumnName(datapoint)}, inplace=True)\n",
" \n",
" # Join the temp_df to the main DataFrame\n",
" df = df.join(temp_df, how='outer')\n",
"\n",
" df = df.fillna(method='ffill', limit=2)\n",
" # Rename index to 'Date'\n",
" df.rename_axis('Date', inplace=True)\n",
" return df"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [],
"source": [
"time = {\n",
" \"type\": \"last\",\n",
" \"days\":3,\n",
" \"seconds\":0,\n",
" \"microseconds\":0,\n",
" \"milliseconds\":0,\n",
" \"minutes\":0,\n",
" \"hours\":0,\n",
" \"weeks\":0\n",
" }\n",
"telemetry = getThingsBoardData(url, username, password, \"Faskens\", time)"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/nico/miniforge3/envs/thingsboard/lib/python3.10/site-packages/xlsxwriter/worksheet.py:3261: UserWarning: Must have at least one data row in in add_table()\n",
" warn(\"Must have at least one data row in in add_table()\")\n",
"/Users/nico/miniforge3/envs/thingsboard/lib/python3.10/site-packages/xlsxwriter/worksheet.py:3261: UserWarning: Must have at least one data row in in add_table()\n",
" warn(\"Must have at least one data row in in add_table()\")\n",
"/Users/nico/miniforge3/envs/thingsboard/lib/python3.10/site-packages/xlsxwriter/worksheet.py:3261: UserWarning: Must have at least one data row in in add_table()\n",
" warn(\"Must have at least one data row in in add_table()\")\n",
"/Users/nico/miniforge3/envs/thingsboard/lib/python3.10/site-packages/xlsxwriter/worksheet.py:3261: UserWarning: Must have at least one data row in in add_table()\n",
" warn(\"Must have at least one data row in in add_table()\")\n",
"/Users/nico/miniforge3/envs/thingsboard/lib/python3.10/site-packages/xlsxwriter/worksheet.py:3261: UserWarning: Must have at least one data row in in add_table()\n",
" warn(\"Must have at least one data row in in add_table()\")\n"
]
}
],
"source": [
"\n",
"# Create a Pandas Excel writer using XlsxWriter as the engine.\n",
"writer = pd.ExcelWriter(\"/Users/nico/Documents/test/pandas_table.xlsx\", engine=\"xlsxwriter\",\n",
" datetime_format=\"yyyy-mm-dd hh:mm:ss\",\n",
" date_format=\"yyyy-mm-dd\",engine_kwargs={'options': {'strings_to_numbers': True}})\n",
"chartsheet = writer.book.add_worksheet(\"Charts\")\n",
"\n",
"for device in telemetry.keys():\n",
" df = getDataFrame(telemetry[device], [\"yesterday_volume\"])\n",
" # Write the dataframe data to XlsxWriter. Turn off the default header and\n",
" # index and skip one row to allow us to insert a user defined header.\n",
" df.to_excel(writer, sheet_name=device, startrow=1, header=False, index=True)\n",
"\n",
" # Get the xlsxwriter workbook and worksheet objects.\n",
" workbook = writer.book\n",
" worksheet = writer.sheets[device]\n",
"\n",
" # Get the dimensions of the dataframe.\n",
" (max_row, max_col) = df.shape\n",
" \n",
" # Create a list of column headers, to use in add_table().\n",
" column_settings = [{\"header\": column} for column in df.columns]\n",
" # Add the Excel table structure. Pandas will add the data.\n",
" worksheet.add_table(0, 0, max_row, max_col, {\"columns\": [{'header': 'Date'}] + column_settings})\n",
"\n",
" # Make the columns wider for clarity.\n",
" worksheet.set_column(0, max_col , 18)\n",
"charts = []#[{\"chartType\": \"line\",\"columnName\": \"temperature\"}, {\"chartType\": \"line\", \"columnName\": \"volume_flow\"},{\"chartType\": \"bar\", \"columnName\": \"volume_flow\"},{\"chartType\": \"pie\", \"columnName\": \"today_volume\"},{\"chartType\": \"pie\", \"columnName\": \"month_volume\"}]\n",
"position = 1\n",
"pie_chart_count = 1\n",
"for c in charts:\n",
" # Configure the chart. In simplest case we add one or more data series.\n",
" chart = writer.book.add_chart({'type': c[\"chartType\"]})\n",
" if c[\"chartType\"] == \"pie\":\n",
" pieWorksheet = writer.book.add_worksheet(\"Pie Chart \" + str(pie_chart_count))\n",
" pieData = []\n",
" \n",
" for device in telemetry.keys():\n",
" #print(device)\n",
" dataColumn = df.columns.get_loc(formatColumnName(c[\"columnName\"])) + 1\n",
" if c[\"chartType\"] in [ \"line\", \"bar\"]:\n",
" chart.add_series({\n",
" 'values': [device, 1, dataColumn ,max_row,dataColumn],\n",
" 'categories': [device, 1,0,max_row,0],\n",
" 'name': device,\n",
"\n",
" })\n",
" chart.set_x_axis({'text_axis': True})\n",
" elif c[\"chartType\"] == \"pie\":\n",
" #pie charts don't allow data from multiple worksheets need to make a new worksheet with all the desired data so add the data to the worksheet here\n",
" pieData.append([device, \"='\" + device + \"'!$\" + chr(65+dataColumn) + \"$\" + str(max_row)])\n",
" if c[\"chartType\"] == \"pie\":\n",
" for row in range(len(pieData)):\n",
" pieWorksheet.write_row(row, 0, pieData[row])\n",
" chart.add_series({\n",
" 'values': [\"Pie Chart \" + str(pie_chart_count), 0, 1 ,len(pieData)-1,1],\n",
" 'categories': [\"Pie Chart \" + str(pie_chart_count), 0, 0 ,len(pieData)-1,0],\n",
" 'name': device,\n",
" 'data_labels': {'value': True, 'category': True, 'position': 'best_fit'}\n",
" })\n",
" pie_chart_count += 1\n",
" chart.set_title({\"name\": formatColumnName(c[\"columnName\"])})\n",
" \n",
" chartsheet.insert_chart('A' + str(position), chart, {'x_scale': 3, 'y_scale': 2})\n",
" position += 30\n",
"# Close the Pandas Excel writer and output the Excel file.\n",
"writer.close()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "thingsboard",
"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": "3.10.5"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}

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# Getting Started with Create React App
This project was bootstrapped with [Create React App](https://github.com/facebook/create-react-app).
## Available Scripts
In the project directory, you can run:
### `npm start`
Runs the app in the development mode.\
Open [http://localhost:3000](http://localhost:3000) to view it in your browser.
The page will reload when you make changes.\
You may also see any lint errors in the console.
### `npm test`
Launches the test runner in the interactive watch mode.\
See the section about [running tests](https://facebook.github.io/create-react-app/docs/running-tests) for more information.
### `npm run build`
Builds the app for production to the `build` folder.\
It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes.\
Your app is ready to be deployed!
See the section about [deployment](https://facebook.github.io/create-react-app/docs/deployment) for more information.
### `npm run eject`
**Note: this is a one-way operation. Once you `eject`, you can't go back!**
If you aren't satisfied with the build tool and configuration choices, you can `eject` at any time. This command will remove the single build dependency from your project.
Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except `eject` will still work, but they will point to the copied scripts so you can tweak them. At this point you're on your own.
You don't have to ever use `eject`. The curated feature set is suitable for small and middle deployments, and you shouldn't feel obligated to use this feature. However we understand that this tool wouldn't be useful if you couldn't customize it when you are ready for it.
## Learn More
You can learn more in the [Create React App documentation](https://facebook.github.io/create-react-app/docs/getting-started).
To learn React, check out the [React documentation](https://reactjs.org/).
### Code Splitting
This section has moved here: [https://facebook.github.io/create-react-app/docs/code-splitting](https://facebook.github.io/create-react-app/docs/code-splitting)
### Analyzing the Bundle Size
This section has moved here: [https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size](https://facebook.github.io/create-react-app/docs/analyzing-the-bundle-size)
### Making a Progressive Web App
This section has moved here: [https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app](https://facebook.github.io/create-react-app/docs/making-a-progressive-web-app)
### Advanced Configuration
This section has moved here: [https://facebook.github.io/create-react-app/docs/advanced-configuration](https://facebook.github.io/create-react-app/docs/advanced-configuration)
### Deployment
This section has moved here: [https://facebook.github.io/create-react-app/docs/deployment](https://facebook.github.io/create-react-app/docs/deployment)
### `npm run build` fails to minify
This section has moved here: [https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify](https://facebook.github.io/create-react-app/docs/troubleshooting#npm-run-build-fails-to-minify)

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{
"name": "tb_report",
"version": "0.1.0",
"private": true,
"dependencies": {
"@emotion/react": "^11.11.1",
"@emotion/styled": "^11.11.0",
"@mui/material": "^5.13.5",
"@mui/styled-engine-sc": "^5.12.0",
"@mui/x-date-pickers": "^6.7.0",
"@testing-library/jest-dom": "^5.16.5",
"@testing-library/react": "^13.4.0",
"@testing-library/user-event": "^13.5.0",
"@wojtekmaj/react-datetimerange-picker": "^5.2.0",
"dayjs": "^1.11.8",
"react": "^18.2.0",
"react-dom": "^18.2.0",
"react-scripts": "5.0.1",
"styled-components": "^5.3.11",
"web-vitals": "^2.1.4"
},
"scripts": {
"start": "react-scripts start",
"build": "react-scripts build",
"test": "react-scripts test",
"eject": "react-scripts eject"
},
"eslintConfig": {
"extends": [
"react-app",
"react-app/jest"
]
},
"browserslist": {
"production": [
">0.2%",
"not dead",
"not op_mini all"
],
"development": [
"last 1 chrome version",
"last 1 firefox version",
"last 1 safari version"
]
}
}

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8" />
<link rel="icon" href="%PUBLIC_URL%/favicon.ico" />
<meta name="viewport" content="width=device-width, initial-scale=1" />
<meta name="theme-color" content="#000000" />
<meta
name="description"
content="Web site created using create-react-app"
/>
<link rel="apple-touch-icon" href="%PUBLIC_URL%/logo192.png" />
<!--
manifest.json provides metadata used when your web app is installed on a
user's mobile device or desktop. See https://developers.google.com/web/fundamentals/web-app-manifest/
-->
<link rel="manifest" href="%PUBLIC_URL%/manifest.json" />
<!--
Notice the use of %PUBLIC_URL% in the tags above.
It will be replaced with the URL of the `public` folder during the build.
Only files inside the `public` folder can be referenced from the HTML.
Unlike "/favicon.ico" or "favicon.ico", "%PUBLIC_URL%/favicon.ico" will
work correctly both with client-side routing and a non-root public URL.
Learn how to configure a non-root public URL by running `npm run build`.
-->
<title>React App</title>
</head>
<body>
<noscript>You need to enable JavaScript to run this app.</noscript>
<div id="root"></div>
<!--
This HTML file is a template.
If you open it directly in the browser, you will see an empty page.
You can add webfonts, meta tags, or analytics to this file.
The build step will place the bundled scripts into the <body> tag.
To begin the development, run `npm start` or `yarn start`.
To create a production bundle, use `npm run build` or `yarn build`.
-->
</body>
</html>

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{
"short_name": "React App",
"name": "Create React App Sample",
"icons": [
{
"src": "favicon.ico",
"sizes": "64x64 32x32 24x24 16x16",
"type": "image/x-icon"
},
{
"src": "logo192.png",
"type": "image/png",
"sizes": "192x192"
},
{
"src": "logo512.png",
"type": "image/png",
"sizes": "512x512"
}
],
"start_url": ".",
"display": "standalone",
"theme_color": "#000000",
"background_color": "#ffffff"
}

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# https://www.robotstxt.org/robotstxt.html
User-agent: *
Disallow:

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html,
body {
height: 100%;
}
body {
margin: 0;
font-family: Segoe UI, Tahoma, sans-serif;
}
.Sample input,
.Sample button {
font: inherit;
}
.Sample header {
background-color: #323639;
box-shadow: 0 0 8px rgba(0, 0, 0, 0.5);
padding: 20px;
color: white;
}
.Sample header h1 {
font-size: inherit;
margin: 0;
}
.Sample__container {
display: flex;
flex-direction: row;
flex-wrap: wrap;
align-items: flex-start;
margin: 10px 0;
padding: 10px;
}
.Sample__container > * > * {
margin: 10px;
}
.Sample__container__content {
display: flex;
max-width: 100%;
flex-basis: 420px;
flex-direction: column;
flex-grow: 100;
align-items: stretch;
}

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import React, { useState } from 'react';
import DateTimeRangePicker from '@wojtekmaj/react-datetimerange-picker';
import './App.css';
type ValuePiece = Date | null;
type Value = ValuePiece | [ValuePiece, ValuePiece];
const now = new Date();
const yesterdayBegin = new Date(now.getFullYear(), now.getMonth(), now.getDate() - 1);
const todayNoon = new Date(now.getFullYear(), now.getMonth(), now.getDate(), 12);
export default function Sample() {
const [value, onChange] = useState([yesterdayBegin, todayNoon]);
return (
<div className="Sample">
<header>
<h1>react-datetimerange-picker sample page</h1>
</header>
<div className="Sample__container">
<main className="Sample__container__content">
<DateTimeRangePicker onChange={onChange} value={value} />
</main>
</div>
</div>
);
}

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import { render, screen } from '@testing-library/react';
import App from './App';
test('renders learn react link', () => {
render(<App />);
const linkElement = screen.getByText(/learn react/i);
expect(linkElement).toBeInTheDocument();
});

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body {
margin: 0;
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen',
'Ubuntu', 'Cantarell', 'Fira Sans', 'Droid Sans', 'Helvetica Neue',
sans-serif;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
}
code {
font-family: source-code-pro, Menlo, Monaco, Consolas, 'Courier New',
monospace;
}

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import React from 'react';
import ReactDOM from 'react-dom/client';
import './index.css';
import Sample from './App';
import reportWebVitals from './reportWebVitals';
const root = ReactDOM.createRoot(document.getElementById('root'));
root.render(
<React.StrictMode>
<Sample />
</React.StrictMode>
);
// If you want to start measuring performance in your app, pass a function
// to log results (for example: reportWebVitals(console.log))
// or send to an analytics endpoint. Learn more: https://bit.ly/CRA-vitals
reportWebVitals();

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const reportWebVitals = onPerfEntry => {
if (onPerfEntry && onPerfEntry instanceof Function) {
import('web-vitals').then(({ getCLS, getFID, getFCP, getLCP, getTTFB }) => {
getCLS(onPerfEntry);
getFID(onPerfEntry);
getFCP(onPerfEntry);
getLCP(onPerfEntry);
getTTFB(onPerfEntry);
});
}
};
export default reportWebVitals;

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// jest-dom adds custom jest matchers for asserting on DOM nodes.
// allows you to do things like:
// expect(element).toHaveTextContent(/react/i)
// learn more: https://github.com/testing-library/jest-dom
import '@testing-library/jest-dom';