我想将 Google 移动友好和桌面友好 api 与 PageSpeed Insights API V5 集成。但我无法区分审计部分。我也尝试过不同的场景,但我做不到。
如何区分PageSpeed Insights API V5 中通过的审核、诊断和机会?
我想将 Google 移动友好和桌面友好 api 与 PageSpeed Insights API V5 集成。但我无法区分审计部分。我也尝试过不同的场景,但我做不到。
如何区分PageSpeed Insights API V5 中通过的审核、诊断和机会?
下面是 GoogleChrome 灯塔用来区分机会、诊断和通过审核的代码,您可以在下面的 github 链接中找到这些代码。
// Opportunities
const opportunityAudits = category.auditRefs
.filter(audit => audit.group === 'load-opportunities' && !Util.showAsPassed(audit.result))
.sort((auditA, auditB) => this._getWastedMs(auditB) - this._getWastedMs(auditA));
// Diagnostics
const diagnosticAudits = category.auditRefs
.filter(audit => audit.group === 'diagnostics' && !Util.showAsPassed(audit.result))
.sort((a, b) => {
const scoreA = a.result.scoreDisplayMode === 'informative' ? 100 : Number(a.result.score);
const scoreB = b.result.scoreDisplayMode === 'informative' ? 100 : Number(b.result.score);
return scoreA - scoreB;
});
// Passed audits
const passedAudits = category.auditRefs
.filter(audit => (audit.group === 'load-opportunities' || audit.group === 'diagnostics') &&
Util.showAsPassed(audit.result));
在上面的代码中, Util.showAsPassed() 方法被指定如下。
const PASS_THRESHOLD = 0.9;
const RATINGS = {
PASS: {label: 'pass', minScore: PASS_THRESHOLD},
AVERAGE: {label: 'average', minScore: 0.5},
FAIL: {label: 'fail'},
ERROR: {label: 'error'},
};
static showAsPassed(audit) {
switch (audit.scoreDisplayMode) {
case 'manual':
case 'notApplicable':
return true;
case 'error':
case 'informative':
return false;
case 'numeric':
case 'binary':
default:
return Number(audit.score) >= RATINGS.PASS.minScore;
}
}
参考: https ://github.com/GoogleChrome/lighthouse/blob/master/lighthouse-core/report/html/renderer/util.js
谢谢
** 机会:** 响应中没有可用的已编译机会集,但我们可以循环通过 lighthouseResult 和对于 lighthouseReslt 中的每个 json,取出 type=opportunity 的结果,它还应该有详细信息。
response = requests.get('https://www.googleapis.com/pagespeedonline/v5/runPagespeed?url='+<url>+'&strategy='+<desktop or mobile>+'&key='+<api_key>)
js = response.json()
print ("Score: ",js['lighthouseResult']['categories']['performance']['score']*100)
k = []
for m in js['lighthouseResult'] :
try :
for i in js['lighthouseResult'][m] :
k.append([js['lighthouseResult'][m][i]['details'],js['lighthouseResult'][m][i]['title']])
except :
pass
final_opportunities = []
print (len(k))
for i in k :
if 'overallSavingsMs' in list(i[0].keys()) :
print (i[1],i[0]['overallSavingsMs'])
final_opportunities.append([i[1] , i[0]['overallSavingsMs']])
审核结果可以在:lighthouseResult.audits 中找到
综合性能得分:response.lighthouseResult.categories.performance.score
对于 python 实现,您可以参考以下 github repo: https ://github.com/amartya-dev/PageSpeedAPI