/**
* 计算样本平中某一项的平均值
* @param array $reqs 样本列表
* @param string $key 指定本函数对哪一个数据项进行求值运算
* @return number 均值
*/
public static function avg($reqs, $key)
{
$list = array();
foreach ($reqs as $req) {
if ($req[$key] && $req[$key] > 0) {
$list[] = $req[$key];
}
}
if (count($list) <= 0) {
return 0;
}
$removed = Util_Grubbs::run($list, self::P);
$result = (array_sum($list) - array_sum($removed)) / (count($list) - count($removed));
return (int) $result;
}
/**
* 检查样本情况进行优选
* @param array $pcData PC样本数据
* @param array keys 所有的key
* @param array pcKeys 所有的pc样本的key
* @param array $condition 条件统计结果
* @param int $pcNumber pc样本数量
* @param int $mobileNumber 移动样本数量
*/
public static function check($url, $pcData, &$keys, &$pcKeys, &$condition, &$pcNumber)
{
$errorSamples = array();
$nomalSamples = array();
foreach ($pcData as $key => $data) {
$errorCode = $data["firstView"]["basic"]["errorCode"];
//if ($errorCode >= 99996 && $errorCode <= 99998) {
//不管错误
//$errorSamples[$key] = $errorCode;
//由于客户端bug，极少数情况返回回来的样本不是本次测试的网址，需要过滤
if ($data["firstView"]["basic"]["URL"] != $url) {
$errorSamples[$key] = 'URL not match';
} else {
if ($data['firstView']['basic']['fullyLoaded'] == 0) {
$errorSamples[$key] = 'fullyloaded is 0';
} else {
$nomalSamples[$key] = $data["firstView"]["basic"]["fullyLoaded"];
}
}
}
//格拉布斯检验法识别错误样本
$abnormalSamples = Util_Grubbs::run($nomalSamples, 99.5);
foreach ($abnormalSamples as $key => $value) {
$errorSamples[$key] = "time_abnormal: {$value}";
}
foreach ($errorSamples as $key => $v) {
$keys = self::delKey($keys, $key);
$pcKeys = self::delKey($pcKeys, $key);
foreach ($condition["data"]["pc"] as $cls => $cData) {
foreach ($cData as $cKey => $cList) {
$condition["data"]["pc"][$cls][$cKey] = self::delKey($cList, $key);
}
}
}
$pcNumber = $pcNumber - count($errorSamples);
return $errorSamples;
}
