add webcompat diagnosis lifetime dashboard

jobs/webcompat-kb/data/redash/webcompat_diagnosis_lifetime/meta.toml

@@ -0,0 +1,2 @@
+name = "webcompat_diagnosis_lifecycle"
+description = "Webcompat Diagnosis Lifecycle"

jobs/webcompat-kb/data/redash/webcompat_diagnosis_lifetime/parameters.toml

@@ -0,0 +1,14 @@
+[from]
+title = "From"
+type = "date"
+value = "2026-01-01"
+
+[to]
+title = "To"
+type = "date"
+value = "2026-04-30"
+
+[metric]
+title = "Metric"
+type = "enum"
+enum_options = [ {% for metric in metrics.values() %} "{{ metric.pretty_name }}", {% endfor %}]

jobs/webcompat-kb/data/redash/webcompat_diagnosis_lifetime/webcompat_bugs_diagnosis_lifetime_percentiles/meta.toml

@@ -0,0 +1,2 @@
+name = "Webcompat Bugs - Diagnosis Lifetime Percentiles"
+id = 119310

jobs/webcompat-kb/data/redash/webcompat_diagnosis_lifetime/webcompat_bugs_diagnosis_lifetime_percentiles/query.sql

@@ -0,0 +1,75 @@
+WITH
+diagnosis_enter AS (
+SELECT
+  history.number,
+  history.change_time, 
+  changes.added
+FROM {{ ref ("webcompat_knowledge_base.bugs_history") }} AS history,
+  UNNEST (history.changes) as changes
+WHERE changes.field_name LIKE '%keywords%'
+  AND changes.added LIKE'%webcompat:needs_diagnosis%'
+ORDER BY history.number
+),
+diagnosis_exit AS (
+SELECT
+  history.number,
+  history.change_time,
+  changes.removed
+FROM {{ ref ("webcompat_knowledge_base.bugs_history") }} AS history,
+  UNNEST (history.changes) as changes
+WHERE changes.field_name LIKE '%keywords%'
+  AND changes.removed LIKE'%webcompat:needs_diagnosis%'
+ORDER BY history.number
+),
+diagnosis_lifetimes AS (
+SELECT
+  site_reports.webcompat_priority,
+  DATE_DIFF(diagnosis_exit.change_time, diagnosis_enter.change_time, DAY) as lifetime_days
+FROM diagnosis_enter diagnosis_enter
+  JOIN diagnosis_exit diagnosis_exit USING(number)
+  JOIN  {{ ref ("webcompat_knowledge_base.scored_site_reports") }} AS site_reports USING(number)
+WHERE site_reports.webcompat_priority IN ('P1', 'P2', 'P3')
+  AND DATE(site_reports.creation_time) BETWEEN DATE('{{ param("from") }}') AND DATE('{{ param("to") }}')
+  AND
+    CASE "{{ param("metric") }}" {% for metric in metrics.values() %}
+      WHEN "{{ metric.pretty_name }}" THEN {{ metric.condition("site_reports") }}
+  {%- endfor %}
+),
+stats AS (
+SELECT
+  webcompat_priority,
+  COUNT(*) as total_bugs,
+  AVG(lifetime_days) as avg_lifetime,
+  APPROX_QUANTILES(lifetime_days, 100)[OFFSET(10)] as p10_days,
+  APPROX_QUANTILES(lifetime_days, 100)[OFFSET(25)] as p25_days,
+  APPROX_QUANTILES(lifetime_days, 100)[OFFSET(50)] as p50_days,
+  APPROX_QUANTILES(lifetime_days, 100)[OFFSET(75)] as p75_days,
+  APPROX_QUANTILES(lifetime_days, 100)[OFFSET(90)] as p90_days,
+  APPROX_QUANTILES(lifetime_days, 100)[OFFSET(100)] as p100_days
+FROM diagnosis_lifetimes
+GROUP BY webcompat_priority
+),
+unpivoted AS (
+SELECT
+  webcompat_priority,
+  percentile,
+  resolved_in_days
+FROM stats
+CROSS JOIN UNNEST([
+  STRUCT('p10' as percentile, p10_days as resolved_in_days),
+  STRUCT('p25', p25_days),
+  STRUCT('p50', p50_days),
+  STRUCT('p75', p75_days),
+  STRUCT('p90', p90_days),
+  STRUCT('p100', p100_days)
+])
+)
+
+SELECT
+  percentile,
+  MAX(CASE WHEN webcompat_priority = 'P1' THEN resolved_in_days END) as P1,
+  MAX(CASE WHEN webcompat_priority = 'P2' THEN resolved_in_days END) as P2,
+  MAX(CASE WHEN webcompat_priority = 'P3' THEN resolved_in_days END) as P3
+FROM unpivoted
+GROUP BY percentile
+;

jobs/webcompat-kb/data/redash/webcompat_diagnosis_lifetime/webcompat_bugs_diagnosis_survival/meta.toml

@@ -0,0 +1,2 @@
+name = "Webcompat - Diagnosis Survival Rate"
+id = 119317

jobs/webcompat-kb/data/redash/webcompat_diagnosis_lifetime/webcompat_bugs_diagnosis_survival/query.sql

@@ -0,0 +1,63 @@
+WITH
+diagnosis_enter AS (
+  SELECT
+    history.number,
+    MIN(history.change_time) as enter_time
+  FROM {{ ref ("webcompat_knowledge_base.bugs_history") }} AS history,
+    UNNEST (history.changes) as changes
+  WHERE changes.field_name LIKE '%keywords%'
+    AND changes.added LIKE '%webcompat:needs_diagnosis%'
+  GROUP BY history.number
+),
+diagnosis_exit AS (
+  SELECT
+    history.number,
+    MIN(history.change_time) as exit_time
+  FROM {{ ref ("webcompat_knowledge_base.bugs_history") }} AS history,
+    UNNEST (history.changes) as changes
+  WHERE changes.field_name LIKE '%keywords%'
+    AND changes.removed LIKE '%webcompat:needs_diagnosis%'
+  GROUP BY history.number
+),
+diagnosis_durations AS (
+  SELECT
+    site_reports.webcompat_priority,
+    diagnosis_enter.number,
+    diagnosis_enter.enter_time,
+    diagnosis_exit.exit_time,
+    TIMESTAMP_DIFF(diagnosis_exit.exit_time, diagnosis_enter.enter_time, SECOND)/(3600*24) as days_in_status
+  FROM diagnosis_enter
+  INNER JOIN diagnosis_exit USING(number)
+  JOIN {{ ref ("webcompat_knowledge_base.scored_site_reports") }} AS site_reports USING(number)
+  WHERE site_reports.webcompat_priority IN ('P1', 'P2', 'P3')
+    AND DATE(site_reports.creation_time) BETWEEN DATE('{{ param("from") }}') AND DATE('{{ param("to") }}')
+    AND
+      CASE "{{ param("metric") }}" {% for metric in metrics.values() %}
+        WHEN "{{ metric.pretty_name }}" THEN {{ metric.condition("site_reports") }}
+  {%- endfor %}
+),
+totals AS (
+  SELECT
+    webcompat_priority, COUNT(*) as total
+  FROM diagnosis_durations
+  GROUP BY webcompat_priority
+),
+counts AS (
+  SELECT 
+    day,
+    COUNTIF(d.webcompat_priority = 'P1' AND d.days_in_status >= day) as open_p1,
+    COUNTIF(d.webcompat_priority = 'P2' AND d.days_in_status >= day) as open_p2,
+    COUNTIF(d.webcompat_priority = 'P3' AND d.days_in_status >= day) as open_p3
+  FROM UNNEST(GENERATE_ARRAY(0, 90)) as day
+    LEFT JOIN diagnosis_durations d ON TRUE
+  GROUP BY day
+)
+
+SELECT
+  day,
+  SAFE_DIVIDE(open_p1, (SELECT total FROM totals WHERE webcompat_priority = 'P1')) as P1,
+  SAFE_DIVIDE(open_p2, (SELECT total FROM totals WHERE webcompat_priority = 'P2')) as P2,
+  SAFE_DIVIDE(open_p3, (SELECT total FROM totals WHERE webcompat_priority = 'P3')) as P3
+FROM counts
+ORDER BY day
+;

jobs/webcompat-kb/data/redash/webcompat_diagnosis_lifetime/webcompat_diagnosis_lifetime_statistics/meta.toml

@@ -0,0 +1,2 @@
+name = "Webcompat Diagnosis lifetime statistics"
+id = 119315

jobs/webcompat-kb/data/redash/webcompat_diagnosis_lifetime/webcompat_diagnosis_lifetime_statistics/query.sql

@@ -0,0 +1,67 @@
+WITH
+diagnosis_enter AS (
+SELECT 
+    history.number,
+    MIN(history.change_time) as change_time
+FROM {{ ref ("webcompat_knowledge_base.bugs_history") }} AS history,
+    UNNEST (history.changes) as changes
+WHERE changes.field_name LIKE '%keywords%'
+    AND changes.added LIKE'%webcompat:needs_diagnosis%'
+GROUP BY history.number
+),
+diagnosis_exit AS (
+SELECT 
+    history.number,
+    MAX(history.change_time) as change_time
+FROM {{ ref ("webcompat_knowledge_base.bugs_history") }} AS history,
+    UNNEST (history.changes) as changes
+WHERE changes.field_name LIKE '%keywords%'
+    AND changes.removed LIKE'%webcompat:needs_diagnosis%'
+GROUP BY history.number
+),
+lifetimes AS (
+SELECT
+  site_reports.webcompat_priority as priority,
+  COUNT(1) as bug_count,
+  APPROX_QUANTILES(DATETIME_DIFF(diagnosis_exit.change_time, diagnosis_enter.change_time, HOUR)/24, 100)[OFFSET(50)] as median_lifetime,
+  AVG(DATETIME_DIFF(diagnosis_exit.change_time, diagnosis_enter.change_time, HOUR)/24) as avg_lifetime,
+  MIN(DATETIME_DIFF(diagnosis_exit.change_time, diagnosis_enter.change_time, HOUR)/24) as min_lifetime,
+  MAX(DATETIME_DIFF(diagnosis_exit.change_time, diagnosis_enter.change_time, HOUR)/24) as max_lifetime,
+FROM diagnosis_enter
+    JOIN diagnosis_exit USING(number)
+    JOIN {{ ref ("webcompat_knowledge_base.scored_site_reports") }} AS site_reports USING(number)
+WHERE site_reports.webcompat_priority IN ('P1', 'P2', 'P3')
+    AND DATE(site_reports.creation_time) BETWEEN DATE('{{ param("from") }}') AND DATE('{{ param("to") }}')
+    AND
+      CASE "{{ param("metric") }}" {% for metric in metrics.values() %}
+        WHEN "{{ metric.pretty_name }}" THEN {{ metric.condition("site_reports") }}
+    {%- endfor %}
+GROUP BY site_reports.webcompat_priority
+),
+totals AS (
+    SELECT
+        site_reports.webcompat_priority as priority,
+        COUNT(1) as total
+    FROM {{ ref ("webcompat_knowledge_base.scored_site_reports") }} AS site_reports
+    WHERE site_reports.webcompat_priority IN ('P1', 'P2', 'P3')
+      AND DATE(site_reports.creation_time) BETWEEN DATE('{{ param("from") }}') AND DATE('{{ param("to") }}')
+      AND
+        CASE "{{ param("metric") }}" {% for metric in metrics.values() %}
+          WHEN "{{ metric.pretty_name }}" THEN {{ metric.condition("site_reports") }}
+      {%- endfor %}
+    GROUP BY priority
+)
+
+SELECT
+    lifetimes.priority as Priority,
+    totals.total as `Total created`,
+    lifetimes.bug_count as `Total diagnosed`,
+    lifetimes.bug_count/total * 100 as Ratio,
+    lifetimes.median_lifetime as `Median lifetime`,
+    lifetimes.avg_lifetime as `Average`,
+    lifetimes.min_lifetime as `Min`,
+    lifetimes.max_lifetime as `Max`
+FROM lifetimes lifetimes
+    JOIN totals ON lifetimes.priority = totals.priority
+ORDER BY priority
+;