audit pass rates

definitions/output/core_web_vitals/technologies.js

@@ -30,20 +30,105 @@ CREATE TEMP FUNCTION IS_NON_ZERO(
 ) RETURNS BOOL AS (
   good + needs_improvement + poor > 0
 );
+
+CREATE TEMP FUNCTION extract_audits (lighthouse JSON)
+RETURNS ARRAY<STRUCT<
+  id STRING,
+  savings_ms INT64,
+  savings_bytes INT64
+>>
+LANGUAGE js AS """
+const results = []
+const performance_audits = lighthouse?.categories ? lighthouse.categories.performance.auditRefs
+  .filter((audit) => audit.group === "diagnostics")
+  .map((audit) => audit.id) : null
+
+if(performance_audits) {
+  for (const [key, audit] of Object.entries(lighthouse.audits)) {
+    if (
+      performance_audits.includes(audit.id) &&
+      audit.score !== null &&
+      audit.scoreDisplayMode === 'metricSavings'
+    ) {
+      results.push({
+        id: audit.id,
+        savings_ms: audit?.details?.overallSavingsMs || audit?.numericUnit === 'millisecond' ? audit.numericValue : null,
+        savings_bytes: audit?.details?.overallSavingsBytes || audit?.numericUnit === 'byte' ? audit.numericValue : null,
+      })
+    }
+  }
+  return results;
+} else {
+  return null;
+}
+""";
 `).query(ctx => `
-WITH geo_summary AS (
+WITH pages AS (
+  SELECT
+    client,
+    page,
+    root_page AS origin,
+    technologies,
+    summary,
+    lighthouse
+  FROM ${ctx.ref('crawl', 'pages')}
+  WHERE
+    date = '${pastMonth}'
+    ${constants.devRankFilter}
+), geo_summary AS (
   SELECT
-    CAST(REGEXP_REPLACE(CAST(yyyymm AS STRING), r'(\\d{4})(\\d{2})', r'\\1-\\2-01') AS DATE) AS date,
-    * EXCEPT (country_code),
-    \`chrome-ux-report\`.experimental.GET_COUNTRY(country_code) AS geo
+    \`chrome-ux-report\`.experimental.GET_COUNTRY(country_code) AS geo,
+    rank,
+    device,
+    origin,
+    avg_fcp,
+    avg_fid,
+    avg_inp,
+    avg_lcp,
+    avg_ttfb,
+    fast_fcp,
+    fast_fid,
+    fast_inp,
+    fast_lcp,
+    fast_ttfb,
+    slow_fcp,
+    slow_fid,
+    slow_inp,
+    slow_lcp,
+    slow_ttfb,
+    small_cls,
+    medium_cls,
+    large_cls
   FROM ${ctx.ref('chrome-ux-report', 'materialized', 'country_summary')}
   WHERE
     yyyymm = CAST(FORMAT_DATE('%Y%m', '${pastMonth}') AS INT64) AND
     device IN ('desktop', 'phone')
-UNION ALL
+
+  UNION ALL
+
   SELECT
-    * EXCEPT (yyyymmdd, p75_fid_origin, p75_cls_origin, p75_lcp_origin, p75_inp_origin),
-    'ALL' AS geo
+    'ALL' AS geo,
+    rank,
+    device,
+    origin,
+    avg_fcp,
+    avg_fid,
+    avg_inp,
+    avg_lcp,
+    avg_ttfb,
+    fast_fcp,
+    fast_fid,
+    fast_inp,
+    fast_lcp,
+    fast_ttfb,
+    slow_fcp,
+    slow_fid,
+    slow_inp,
+    slow_lcp,
+    slow_ttfb,
+    small_cls,
+    medium_cls,
+    large_cls
   FROM ${ctx.ref('chrome-ux-report', 'materialized', 'device_summary')}
   WHERE
     date = '${pastMonth}' AND
@@ -61,7 +146,7 @@ crux AS (
       WHEN 10000 THEN 'Top 10k'
       WHEN 1000 THEN 'Top 1k'
     END AS rank,
-    CONCAT(origin, '/') AS root_page,
+    CONCAT(origin, '/') AS origin,
     IF(device = 'desktop', 'desktop', 'mobile') AS client,
 
     # CWV
@@ -92,76 +177,79 @@ crux AS (
   WHERE rank <= _rank
 ),
 
+/*
+audits AS (
+  SELECT
+    client,
+    page,
+    performance_opportunities.id
+  FROM pages,
+    UNNEST(extract_audits(lighthouse)) AS performance_opportunities
+  WHERE
+    performance_opportunities.savings_ms > 0 OR
+    performance_opportunities.savings_bytes > 0
+),
+*/
+
 technologies AS (
   SELECT
-    technology.technology,
+    tech.technology,
     client,
     page
-  FROM ${ctx.ref('crawl', 'pages')},
-    UNNEST(technologies) AS technology
-  WHERE
-    date = '${pastMonth}'
-    ${constants.devRankFilter} AND
-    technology.technology IS NOT NULL AND
-    technology.technology != ''
-UNION ALL
+  FROM pages,
+    UNNEST(technologies) AS tech
+
+  UNION ALL
+
   SELECT
     'ALL' AS technology,
     client,
     page
-  FROM ${ctx.ref('crawl', 'pages')}
-  WHERE
-    date = '${pastMonth}'
-    ${constants.devRankFilter}
+  FROM pages
 ),
 
 categories AS (
   SELECT
     technology.technology,
     ARRAY_TO_STRING(ARRAY_AGG(DISTINCT category IGNORE NULLS ORDER BY category), ', ') AS category
-  FROM ${ctx.ref('crawl', 'pages')},
+  FROM pages,
     UNNEST(technologies) AS technology,
     UNNEST(technology.categories) AS category
-  WHERE
-    date = '${pastMonth}'
-    ${constants.devRankFilter}
   GROUP BY technology
-UNION ALL
+
+  UNION ALL
+
   SELECT
     'ALL' AS technology,
     ARRAY_TO_STRING(ARRAY_AGG(DISTINCT category IGNORE NULLS ORDER BY category), ', ') AS category
-  FROM ${ctx.ref('crawl', 'pages')},
+  FROM pages,
     UNNEST(technologies) AS technology,
     UNNEST(technology.categories) AS category
   WHERE
-    date = '${pastMonth}' AND
     client = 'mobile'
-    ${constants.devRankFilter}
 ),
 
-summary_stats AS (
+lab_metrics AS (
   SELECT
     client,
     page,
-    root_page AS root_page,
+    origin,
     SAFE.INT64(summary.bytesTotal) AS bytesTotal,
     SAFE.INT64(summary.bytesJS) AS bytesJS,
     SAFE.INT64(summary.bytesImg) AS bytesImg,
     SAFE.FLOAT64(lighthouse.categories.accessibility.score) AS accessibility,
     SAFE.FLOAT64(lighthouse.categories['best-practices'].score) AS best_practices,
     SAFE.FLOAT64(lighthouse.categories.performance.score) AS performance,
     SAFE.FLOAT64(lighthouse.categories.pwa.score) AS pwa,
-    SAFE.FLOAT64(lighthouse.categories.seo.score) AS seo
-  FROM ${ctx.ref('crawl', 'pages')}
-  WHERE
-    date = '${pastMonth}'
-    ${constants.devRankFilter}
+    SAFE.FLOAT64(lighthouse.categories.seo.score) AS seo,
+    extract_audits(lighthouse) AS performance_opportunities,
+  FROM pages
 ),
 
 lab_data AS (
   SELECT
     client,
-    root_page,
+    origin,
     technology,
     ANY_VALUE(category) AS category,
     AVG(bytesTotal) AS bytesTotal,
@@ -172,14 +260,14 @@ lab_data AS (
     AVG(performance) AS performance,
     AVG(pwa) AS pwa,
     AVG(seo) AS seo
-  FROM summary_stats
-  JOIN technologies
+  FROM lab_metrics
+  INNER JOIN technologies
   USING (client, page)
-  JOIN categories
+  INNER JOIN categories
   USING (technology)
   GROUP BY
     client,
-    root_page,
+    origin,
     technology
 )
 
@@ -190,7 +278,7 @@ SELECT
   ANY_VALUE(category) AS category,
   technology AS app,
   client,
-  COUNT(0) AS origins,
+  COUNT(DISTINCT origin) AS origins,
 
   # CrUX data
   COUNTIF(good_fid) AS origins_with_good_fid,
@@ -220,14 +308,19 @@ SELECT
   SAFE_CAST(APPROX_QUANTILES(pwa, 1000)[OFFSET(500)] AS NUMERIC) AS median_lighthouse_score_pwa,
   SAFE_CAST(APPROX_QUANTILES(seo, 1000)[OFFSET(500)] AS NUMERIC) AS median_lighthouse_score_seo,
 
+  SAFE_DIVIDE(COUNTIF(accessibility >= 0.9), COUNTIF(accessibility > 0)) AS lighthouse_score_accessibility_pass_rate,
+  SAFE_DIVIDE(COUNTIF(best_practices >= 0.9), COUNTIF(best_practices > 0)) AS lighthouse_score_best_practices_pass_rate,
+  SAFE_DIVIDE(COUNTIF(performance >= 0.9), COUNTIF(performance > 0)) AS lighthouse_score_performance_pass_rate,
+  SAFE_DIVIDE(COUNTIF(seo >= 0.9), COUNTIF(seo > 0)) AS lighthouse_score_seo_pass_rate,
+
   # Page weight stats
   SAFE_CAST(APPROX_QUANTILES(bytesTotal, 1000)[OFFSET(500)] AS INT64) AS median_bytes_total,
   SAFE_CAST(APPROX_QUANTILES(bytesJS, 1000)[OFFSET(500)] AS INT64) AS median_bytes_js,
   SAFE_CAST(APPROX_QUANTILES(bytesImg, 1000)[OFFSET(500)] AS INT64) AS median_bytes_image
 
 FROM lab_data
 INNER JOIN crux
-USING (client, root_page)
+USING (client, origin)
 GROUP BY
   app,
   geo,