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Automatically update site statistics with actions
2022-06-23 02:15:00 【Qwe7】
Get Baidu statistics open api Of token, utilize python Count Baidu api The returned statistics are downloaded and saved as json file , recycling JavaScript Read and process json data , Pass the processed data through echarts.js Draw as chart .
obtain token And site_id
Before that, I believe you have completed the registration of Baidu statistics and will be able to use Baidu statistics normally . About getting token and site_id. It is worth noting that the token It is valid for one month and needs to be reused every other month refresh_token Renew token So you can update token Save the link for token After the failure, you can directly use the link to update .
Use python Download the file
adopt 6 A link , We can get ： Daily visit statistics within a year 、 Access map data 、 Monthly visit statistics 、 Source classification statistics 、 Search engine access statistics and external link access statistics ; adopt python Download and save . In order to avoid cross domain problems, the json Documentation needs and census.js In the same directory , Cross domain issues can be solved by This post Get to know . I'll show you the complete structure catalog first , You can create it in the same way .
javascript
source
└── census
└── index.md // Auxiliary statistics page rendering
└── census.js // Processing data
└──data
└──get.py // Get saved data
theme
└──matery
└──layout
└──census.ejs// Render as statistics page Create a new one according to the above directory get.py Write the following contents in the file ：
python
import requests
import time, datetime
# Start date of statistics
start_date = '20201101'
date = datetime.datetime.now()
# End date of Statistics
end_date = str(date.year) + (str(date.month) if date.month > 9 else ('0' + str(date.month))) + (str(date.day) if date.day > 9 else ('0' + str(date.day)))
# token and siteid
# It needs to be modified to your token and siteid
access_token = '121.*******'
site_id = '16*******'
# Baidu statistics API
dataUrl = 'https://openapi.baidu.com/rest/2.0/tongji/report/getData?access_token=' + access_token + '&site_id=' + site_id
# Count the number of visits PV Fill in 'pv_count', Count the number of visitors UV Fill in 'visitor_count', A choice
metrics = 'pv_count'
ips = 'visitor_count'
def downFile(url, fileName, prefix=''):
print('downloading :', url)
down_res = requests.get(url)
with open(prefix+fileName, 'wb') as f:
f.write(down_res.content)
print('writing :', prefix+fileName)
# Visitor Map
downFile(dataUrl + '&start_date=' + start_date + '&end_date=' + end_date + '&metrics=' + metrics + '&method=visit/district/a',
'map.json')
# Access trends
downFile(dataUrl + '&start_date=' + start_date + '&end_date=' + end_date + '&metrics=' + metrics + '&method=trend/time/a&gran=month',
'pv.json')
downFile(dataUrl + '&start_date=' + start_date + '&end_date=' + end_date + '&metrics=' + ips + '&method=trend/time/a&gran=month',
'uv.json')
# Source of visit
downFile(dataUrl + '&start_date=' + start_date + '&end_date=' + end_date + '&metrics=' + metrics + '&method=source/all/a',
'sources.json')
## Search engine
downFile(dataUrl + '&start_date=' + start_date + '&end_date=' + end_date + '&metrics=' + metrics + '&method=source/engine/a',
'engine.json')
## External links
downFile(dataUrl + '&start_date=' + start_date + '&end_date=' + end_date + '&metrics=' + metrics + '&method=source/link/a',
'link.json')
# Visit the calendar
'''
To access the calendar, you need to get the data within one year , According to one year 365 Day count , It's about 52 A little more than a week , So there is a complete 52 row , The access method is only through the start date and year -1 that will do
And then the first 53 Disposal of rows ,python Medium date.weekday() The day of the week obtained is 0 On Monday , So pass (date.weekday()+1)%7 You can switch to 0 Corresponding to Sunday
So in 52 On a weekly basis , Minus weeks , You can get new start_date
'''
date = datetime.datetime(date.year-1, date.month, date.day)
date = datetime.datetime.fromtimestamp(date.timestamp()-3600*24*((date.weekday()+1)%7))
start_date = str(date.year) + (str(date.month) if date.month > 9 else ('0' + str(date.month))) + (str(date.day) if date.day > 9 else ('0' + str(date.day)))
downFile(dataUrl + '&method=overview/getTimeTrendRpt' + '&metrics=' + metrics + '&start_date=' + start_date + '&end_date=' + end_date,
'calendar.json')
downFile(dataUrl + '&method=overview/getTimeTrendRpt' + '&metrics=' + ips + '&start_date=' + start_date + '&end_date=' + end_date,
'ipcalendar.json')Local testing : If you have python The environment can be direct cd Store in get.py The catalog of python get.py, Prompt that the library installation is missing . If you don't finish GitHubactions Integrated deployment can also be semi automatically updated periodically through this method , However, it is still recommended to make integrated deployment. It really smells good .
newly build md and ejs file
Create a new one as shown in the previous structure diagram index.md and census.ejs file .
stay index.md Write the following in ：
--- title: census date: 2020-10-31 10:11:28 type: "census" layout: "census" ---
stay census.ejs Write the following in :
<%- partial('_partial/bg-cover') %>
<style>
.journal {
padding: 12px;
border: 1px dashed #e6e6e6;
color: #969696;
position: relative;
display: inline-block;
width: 95%;
background: #fbfbfb50;
border-radius: 10px;
font-size: 16px;
margin: 12px auto;
}
</style>
<script type="text/javascript" src="https://npm.elemecdn.com/[email protected]/dist/echarts.min.js"></script>
<script src="https://npm.elemecdn.com/[email protected]/map/js/china.js"></script>
<main class="content">
<div class="container chip-container">
<div class="card">
<div class="card-content">
<div class="tag-title center-align">
<div class="journal">
<div class="title center-align">“ Site statistics ”</div>
“ since 2020-11-14 rise , Every time 12 Automatically update every hour ”
</div>
</div>
<div id="calendar_container" style="min-height: 200px; -webkit-tap-highlight-color: transparent; user-select: none; position: relative"></div>
<div id="uv_container" style="min-width: 250px; height: 400px; margin-top: 50px; -webkit-tap-highlight-color: transparent; user-select: none; position: relative" ></div>
<div id="pv_container" style="min-width: 250px; height: 400px; margin-top: 50px; -webkit-tap-highlight-color: transparent; user-select: none; position: relative" ></div>
<div id="map_container" style="min-width: 250px; height: 400px; margin-top: 50px; -webkit-tap-highlight-color: transparent; user-select: none; position: relative" ></div>
<div id="sources_container" style="min-width: 250px; height: 400px; margin-top: 50px; -webkit-tap-highlight-color: transparent; user-select: none; position: relative" ></div>
<script src="/census/census.js"></script>
</div>
</div>
</div>
</main>calendar_container Container for visitor calendar graph ,uv_container Container for site visitor statistics ,pv_container Container for site traffic statistics ,map_container Container for accessing location maps for sites ,sources_container Container for analyzing pie charts for site visitor sources .
newly build census.js file
Create a new one as shown in the previous structure diagram census.js The file is written as follows :
javascript
var metrics = 'pv_count' // Count the number of visits PV Fill in 'pv_count', Count the number of visitors UV Fill in 'visitor_count', A choice
var metricsName = (metrics === 'pv_count' ? ' Number of visits ' : (metrics === 'visitor_count' ? ' Number of visitors ' : ''))
function generatePieces(maxValue, colorBox) {
var pieces = [];
var quotient = 1;
var temp = {'lt': 1, 'label': '0', 'color': colorBox[0]};
pieces.push(temp);
if (maxValue && maxValue >= 10) {
quotient = Math.floor(maxValue / 10)+1;
for (var i = 1; i <= 10; i++) {
var temp = {};
if (i == 1) temp.gte = 1;
else temp.gte = quotient * (i - 1);
temp.lte = quotient * i;
temp.color = colorBox[i];
pieces.push(temp);
}
}
return JSON.stringify(pieces);
}
var append_div_visitcalendar = (parent, text) => {
if (parent !== null) {
if (typeof text === 'string') {
var temp = document.createElement('div');
temp.innerHTML = text;
var frag = document.createDocumentFragment();
while (temp.firstChild) {
frag.appendChild(temp.firstChild)
}
parent.appendChild(frag)
} else {
parent.appendChild(text)
}
}
};
function calChart () {
let script = document.createElement("script")
fetch('/census/data/ipcalendar.json?date'+new Date()).then(data => data.json()).then(data => {
let date_arr = data.result.items[0];
let value_arr = data.result.items[1];
let calArr = [];
let maxValue = 0, total = 0, weekdatacore = 0, thisweekdatacore = 0;
let colorBox = ['#EBEDF0', '#90EE90', '#98FB98', '#32CD32', '#00FF00', '#7FFF00', '#3CB371', '#2E8B57', '#228B22', '#008000', ' #006400'];
for (let i = 0; i < date_arr.length; i++) {
calArr.push([date_arr[i][0], value_arr[i][0] === '--' ? 0 : value_arr[i][0]] );
maxValue = value_arr[i][0] > maxValue ? value_arr[i][0] : maxValue ;
total += value_arr[i][0] === '--' ? 0 : value_arr[i][0];
}
for (let i = date_arr.length-1; i >= date_arr.length-7; i--) weekdatacore += value_arr[i][0] === '--' ? 0 : value_arr[i][0];
for (let i = date_arr.length-1; i >= date_arr.length-30; i--) thisweekdatacore += value_arr[i][0] === '--' ? 0 : value_arr[i][0];
let calArrJson = JSON.stringify(calArr);
script.innerHTML = `
var calChart = echarts.init(document.getElementById("calendar_container"));
var option = {
title: { text: ' Visit the calendar ' },
tooltip: {
padding: 10,
backgroundColor: '#555',
borderColor: '#777',
borderWidth: 1,
textStyle: { color: '#fff' },
formatter: function (obj) {
var value = obj.value;
return '<div style="font-size: 14px;">' + value[0] + '：' + value[1] + '</div>';
}
},
visualMap: {
show: false,
showLabel: true,
min: 0,
max: ${maxValue},
type: 'piecewise',
orient: 'horizontal',
left: 'center',
bottom: 0,
pieces: ${generatePieces(maxValue, colorBox)}
},
calendar: [{
left: 'center',
range: ['${date_arr[0]}', '${date_arr[date_arr.length-1]}'],
cellSize: [14, 14],
splitLine: {
show: false
},
itemStyle: {
color: '#ebedf0',
borderColor: '#fff',
borderWidth: 2
},
yearLabel: {
show: false
},
monthLabel: {
nameMap: 'cn',
fontSize: 11
},
dayLabel: {
formatter: '{start} 1st',
nameMap: 'cn',
fontSize: 11
}
}],
series: [{
type: 'heatmap',
coordinateSystem: 'calendar',
calendarIndex: 0,
data: ${calArrJson},
}]
};
calChart.setOption(option);`;
let style = '<style>.number{font-family: sans-serif, Arial;margin-top: 10px;text-align:center;width:100%;padding:10px;margin:0 auto;}.contrib-column{text-align:center;border-left:1px solid #ddd;border-top:1px solid #ddd;}.contrib-column-first{border-left:0;}.table-column{padding:10px;display:table-cell;flex:1;vertical-align:top;}.contrib-number{font-weight:400;line-height:1.3em;font-size:24px;display:block;}.left.text-muted{float:left;margin-left:9px;color:#767676;}.left.text-muted a{color:#4078c0;text-decoration:none;}.left.text-muted a:hover{text-decoration:underline;}h2.f4.text-normal.mb-3{display:none;}.float-left.text-gray{float:left;}.position-relative{width:100%;}@media screen and (max-width:650px){.contrib-column{display:none}}</style>';
style = '<div style="display:flex;width:100%" class="number"><div class="contrib-column contrib-column-first table-column"><span class="text-muted"> Visited in the past year </span><span class="contrib-number">' + total + '</span><span class="text-muted">' + date_arr[0][0] + ' - ' + date_arr[date_arr.length-1][0] + '</span></div><div class="contrib-column table-column"><span class="text-muted"> lately 30 Day visit </span><span class="contrib-number">' + thisweekdatacore + '</span><span class="text-muted">' + date_arr[date_arr.length-30][0] + ' - ' + date_arr[date_arr.length-1][0] + '</span></div><div class="contrib-column table-column"><span class="text-muted"> lately 7 Day visit </span><span class="contrib-number">' + weekdatacore + '</span><span class="text-muted">' + date_arr[date_arr.length-7][0] + ' - ' + date_arr[date_arr.length-1][0] + '</span></div></div>' + style;
document.getElementById("calendar_container").after(script);
append_div_visitcalendar(calendar_container, style);
}).catch(function (error) {
console.log(error);
});
}
function get_year(s) {
return parseInt(s.substr(0, 4))
}
function get_month(s) {
return parseInt(s.substr(5, 2))
}
// Browse volume
function pvChart () {
let script = document.createElement("script")
fetch('/census/data/pv.json?date'+new Date()).then(data => data.json()).then(data => {
let date = new Date();
let monthValueArr = {};
let monthName = data.result.items[0];
let monthValue = data.result.items[1];
for (let i =2020; i <= date.getFullYear(); i++) monthValueArr[String(i)] = [ , , , , , , , , , , , ];
monthValueArr
for (let i = 0; i < monthName.length; i++) {
let year = get_year(monthName[i][0]);
let month = get_month(monthName[i][0]);
monthValueArr[String(year)][String(month-1)] = monthValue[i][0];
}
script.innerHTML = `
var pvChart = echarts.init(document.getElementById('pv_container'), 'light');
var pvOption = {
color: ['#01C2F9', '#18D070', '#d223e7', '#3F77FE'],
title: {
text: ' Site traffic statistics ',
subtext: ' Data sources : Baidu statistics （ since 2020/11/14 Start Statistics ）',
textStyle: {
color: '#504b4d',
}
},
legend: {
data: ['2020 Annual visits ', '2021 Annual visits '],
// Revision year
bottom: 0,
left: 'center',
textStyle: {
color: '#504b4d',
}
},
tooltip: {
trigger: 'axis'
},
toolbox: {
show: true,
feature: {
mark: {
show: true
},
magicType: {
show: true,
type: ['line', 'bar', 'stack', 'tiled']
},
restore: {
show: true
},
saveAsImage: {
show: true
}
}
},
calculable: true,
xAxis: [{
type: 'category',
boundaryGap: false,
data: [' January ', ' February ', ' March ', ' April ', ' May ', ' June ', ' July ', ' August ', ' September ', ' October ', ' November ', ' December '],
axisLabel: {
formatter: '{value}',
textStyle: {
color: '#929298'
}
}
}],
yAxis: [{
type: 'value',
axisLabel: {
formatter: '{value}',
textStyle: {
color: '#929298'
}
},
axisTick: {
show: true
},
axisLine: {
show: true,
lineStyle: {
color: '#4c4948'}
}
}],
series: [{
name: '2020 Annual visits ',
type: 'line',
stack: ' Total amount ',
data: [${monthValueArr["2020"]}],
axisLabel: {
formatter: '{value}',
// The data sequence corresponding to the first year corresponds to the month
textStyle: {
color: '#929298'
}
}
},
{
name: '2021 Annual visits ',
type: 'line',
stack: ' Total amount ',
data: [${monthValueArr["2021"]}],
// The data sequence corresponding to the second year corresponds to the month
axisLabel: {
formatter: '{value}',
textStyle: {
color: '#929298'
}
}
}]
};
pvChart.setOption(pvOption);
window.addEventListener("resize", () => {
pvChart.resize();
});`
document.getElementById('pv_container').after(script);
}).catch(function (error) {
console.log(error);
});
}
// Number of visitors
function uvChart () {
let script = document.createElement("script")
fetch('/census/data/uv.json?date'+new Date()).then(data => data.json()).then(data => {
let date = new Date();
let monthValueArr = {};
let monthName = data.result.items[0];
let monthValue = data.result.items[1];
for (let i =2020; i <= date.getFullYear(); i++) monthValueArr[String(i)] = [ , , , , , , , , , , , ];
monthValueArr
for (let i = 0; i < monthName.length; i++) {
let year = get_year(monthName[i][0]);
let month = get_month(monthName[i][0]);
monthValueArr[String(year)][String(month-1)] = monthValue[i][0];
}
script.innerHTML = `
var uvChart = echarts.init(document.getElementById('uv_container'), 'light');
var uvOption = {
color: ['#d223e7', '#3F77FE', '#01C2F9', '#18D070'],
title: {
text: ' Statistics of site visitors ',
subtext: ' Data sources : Baidu statistics （ since 2020/11/14 Start Statistics ）',
textStyle: {
color: '#504b4d',
}
},
tooltip: {
trigger: 'axis'
},
legend: {
data: ['2020 Number of annual visitors ', '2021 Number of annual visitors '],
bottom: 0,
left: 'center',
textStyle: {
color: '#504b4d',
}
},
// Revision year
toolbox: {
show: true,
feature: {
mark: {
show: true
},
magicType: {
show: true,
type: ['line', 'bar', 'stack', 'tiled']
},
restore: {
show: true
},
saveAsImage: {
show: true
}
}
},
calculable: true,
xAxis: [{
type: 'category',
boundaryGap: false,
data: [' January ', ' February ', ' March ', ' April ', ' May ', ' June ', ' July ', ' August ', ' September ', ' October ', ' November ', ' December '],
axisLabel: {
formatter: '{value}',
textStyle: {
color: '#929298'
}
}
}],
yAxis: [{
type: 'value',
axisLabel: {
formatter: '{value}',
textStyle: {
color: '#929298'
}
},
axisTick: {
show: true
},
axisLine: {
show: true,
lineStyle: {
color: '#4c4948'}
}
}],
series: [{
name: '2020 Number of annual visitors ',
type: 'line',
smooth: true,
itemStyle: {
normal: {
areaStyle: {
type: 'default'
}
}
},
data: [${monthValueArr["2020"]}],
// The data sequence corresponding to the first year corresponds to the month
axisLabel: {
formatter: '{value}',
textStyle: {
color: '#929298'
}
},
},
{
name: '2021 Number of annual visitors ',
type: 'line',
smooth: true,
itemStyle: {
normal: {
areaStyle: {
type: 'default'
}
}
},
data: [${monthValueArr["2021"]}],
// The data sequence corresponding to the second year corresponds to the month
axisLabel: {
formatter: '{value}',
textStyle: {
color: '#929298'
}
},
}]
};
uvChart.setOption(uvOption);
window.addEventListener("resize", () => {
uvChart.resize();
});`
document.getElementById('uv_container').after(script);
}).catch(function (error) {
console.log(error);
});
}
// Access map
function mapChart () {
let script = document.createElement("script")
fetch('/census/data/map.json?date'+new Date()).then(data => data.json()).then(data => {
let mapName = data.result.items[0]
let mapValue = data.result.items[1]
let mapArr = []
let max = mapValue[0][0]
for (let i = 0; i < mapName.length; i++) {
mapArr.push({ name: mapName[i][0].name, value: mapValue[i][0] })
}
let mapArrJson = JSON.stringify(mapArr)
script.innerHTML = `
var mapChart = echarts.init(document.getElementById('map_container'), 'light');
var mapOption = {
title: { text: ' Visit location ' },
tooltip: { trigger: 'item' },
visualMap: {
min: 0,
max: ${max},
left: 'left',
top: 'bottom',
text: [' high ',' low '],
color: ['#1E90FF', '#AAFAFA'],
calculable: true
},
series: [{
name: '${metricsName}',
type: 'map',
mapType: 'china',
showLegendSymbol: false,
label: {
emphasis: { show: false }
},
itemStyle: {
normal: {
areaColor: 'rgba(255, 255, 255, 0.1)',
borderColor: '#121212'
},
emphasis: { areaColor: 'gold' }
},
data: ${mapArrJson}
}]
};
mapChart.setOption(mapOption);
window.addEventListener("resize", () => {
mapChart.resize();
});`
document.getElementById('map_container').after(script);
}).catch(function (error) {
console.log(error);
});
}
// Source of visit
function sourcesChart () {
let script = document.createElement("script");
var innerHTML = '';
var link = 0, direct = 0, search = 0;
fetch('/census/data/sources.json?date'+new Date()).then(data => data.json()).then(data => {
let sourcesName = data.result.items[0];
let sourcesValue = data.result.items[1];
let sourcesArr = [];
for (let i = 0; i < sourcesName.length; i++)
sourcesArr.push({ name: sourcesName[i][0].name, value: sourcesValue[i][0] });
link = sourcesArr[1]['value'] ;
search = sourcesArr[2]['value'] ;
direct = sourcesArr[0]['value'] ;
innerHTML += `
var sourcesChart = echarts.init(document.getElementById('sources_container'), 'light');
var sourcesOption = {
title:{text:' Site visitor source statistics ',itemGap:20,textStyle:{color:'#504b4d',}},
tooltip: { trigger: 'item', formatter: '{a} <br/>{b}: {c} ({d}%)' },
legend: {
data: [' Through ', ' Outside the chain ', ' Search for ', ' Baidu ', ' Google ', ' Bing Ying ', 'Github', ' Go to / A ten-year contract '],
y: 'bottom'
},
series: [
{
name: ' Source details ', type: 'pie', radius: ['45%', '60%'],
labelLine: { length: 30 },
label: {
formatter: '{a|{a}}{abg|}\\n{hr|}\\n {b|{b}：}{c} {per|{d}%} ',
backgroundColor: '#F6F8FC', borderColor: '#8C8D8E',
borderWidth: 1, borderRadius: 4,
rich: {
a: { color: '#6E7079', lineHeight: 22, align: 'center' },
hr: { borderColor: '#8C8D8E', width: '100%', borderWidth: 1, height: 0 },
b: { color: '#4C5058', fontSize: 14, fontWeight: 'bold', lineHeight: 33 },
per: { color: '#fff', backgroundColor: '#4C5058', padding: [3, 4], borderRadius: 4 }
}
},
data: [`;
}).catch(function (error) {
console.log(error);
});
fetch('/census/data/engine.json?date'+new Date()).then(data => data.json()).then(data => {
let enginesName = data.result.items[0];
let enginesValue = data.result.items[1];
let enginesArr = [];
for (let i = 0; i < enginesName.length; i++)
enginesArr.push({ name: enginesName[i][0].name, value: enginesValue[i][0] });
innerHTML += `
{value: ${enginesArr[1]['value']}, name: ' Google '},
{value: ${enginesArr[0]['value']}, name: ' Baidu '},`;
}).catch(function (error) {
console.log(error);
});
fetch('/census/data/link.json?date'+new Date()).then(data => data.json()).then(data => {
let linksName = data.result.items[0];
let linksValue = data.result.items[1];
let linksArr = {};
for (let i = 0; i < linksName.length; i++)
linksArr[linksName[i][0].name] = linksValue[i][0];
let sum = data.result.sum[0][0];
let bing = linksArr['http://cn.bing.com']+linksArr['http://www.bing.com'];
let github = linksArr['http://github.com'];
innerHTML += `
{value: ${bing}, name: ' Bing Ying '},
{value: ${direct}, name: ' Through '},
{value: ${github}, name: 'Github'},
{value: ${sum-bing-github}, name: ' Friend chain '}
]
},
{
name: ' Source of visit ', type: 'pie', selectedMode: 'single', radius: [0, '30%'],
label: { position: 'inner', fontSize: 14},
labelLine: { show: false },
data: [
{value: ${search+bing}, name: ' Search for ', itemStyle: { color : 'green' }},
{value: ${direct}, name: ' Through ', itemStyle: { color : '#FFDB5C' }},
{value: ${link-bing}, name: ' Outside the chain ', itemStyle: { color : '#32C5E9' }}
]
},
]
};
sourcesChart.setOption(sourcesOption);
window.addEventListener("resize", () => {
sourcesChart.resize();
});`;
script.innerHTML = innerHTML;
}).catch(function (error) {
console.log(error);
});
document.getElementById('sources_container').after(script);
}
if (document.getElementById("calendar_container")) calChart();
if (document.getElementById('map_container')) mapChart();
if (document.getElementById('uv_container')) uvChart();
if (document.getElementById('pv_container')) pvChart();
if (document.getElementById('sources_container')) sourcesChart(); Skip rendering because census.js stay source Folder will be rendered , Such as > Will be rendered as gt. At the site yml in skip_render: Add skip rendering items as follows :
yaml
skip_render: - 'census/census.js' - 'census/data/**'
In the theme yml There is no need to add navigation in , At this point, you can pass hexo s Local preview view .
To configure GitHub Action
blog (repository)
└── .github
└── workflows
└── getdata.ymlCreate a new one according to the above directory getdata.yml If you've finished GitHubactions Integrated deployment . Write the following ：
yaml
name: Get Baidu Statistics
on:
schedule:
- cron: ' 0 0,6,12,18 * * *'
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- name: Check the branch
uses: actions/[email protected]
with:
ref: main #2020 year 10 After month github The default branch of the new warehouse is changed to main, Pay attention to change
- name: Set up Python # install python
uses: actions/[email protected]
with:
python-version: 3.8
- name: get data
run: |
cd /home/runner/work/hexo/hexo/source/census/data/
pip install requests
python get.py
cd /home/runner/work/hexo/hexo
git config --global user.name " Yours GitHub The user name is like mine brqs"
git config --global user.email " Yours GitHub Mailbox such as [email protected]"
git add .
git commit -m " Baidu statistics upload "
git push origin mainUpload to the warehouse , I set it to automatically execute every six hours. You can also reduce the frequency
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