5a84473213
Replace hardcoded Keboola-specific metrics card in Data Catalog with dynamic Jinja template that renders whatever metric YAMLs exist in docs/metrics/. Add 10 sample e-commerce metric definitions across 4 categories (revenue, customers, marketing, support) that align with the sample data generator tables. Key changes: - MetricParser: new category colors + dynamic sql_* field discovery - _load_metrics_data(): scans docs/metrics/*/*.yml with prod fallback - catalog.html: 240 lines hardcoded HTML -> 35 lines Jinja loop - metric_modal.js: regex-based category class removal, new categories - 21 tests validating YAML schema, parser, and loader
47 lines
1.5 KiB
YAML
47 lines
1.5 KiB
YAML
- name: avg_resolution_hours
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display_name: Average Resolution Time
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category: support
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type: average
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unit: hours
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grain: monthly
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time_column: created_at
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table: support_tickets
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expression: "AVG(EXTRACT(EPOCH FROM (resolved_at - created_at)) / 3600)"
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description: "Average time in hours from ticket creation to resolution. Key support team performance metric. Lower values indicate more efficient support operations."
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dimensions:
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- priority
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- category
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- agent
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- channel
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notes:
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- "Only includes resolved tickets (excludes open and escalated)"
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- "Business hours calculation is not applied; uses wall-clock time"
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- "Outliers above 720 hours (30 days) are excluded from average"
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synonyms:
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- resolution_time
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- time_to_resolve
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- ttr
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sql: |
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SELECT
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DATE_TRUNC('month', created_at) AS month,
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ROUND(
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AVG(EXTRACT(EPOCH FROM (resolved_at - created_at)) / 3600), 1
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) AS avg_resolution_hours,
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COUNT(*) AS resolved_tickets
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FROM support_tickets
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WHERE resolved_at IS NOT NULL
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AND EXTRACT(EPOCH FROM (resolved_at - created_at)) / 3600 <= 720
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GROUP BY 1
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ORDER BY 1
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sql_by_priority: |
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SELECT
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priority,
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ROUND(
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AVG(EXTRACT(EPOCH FROM (resolved_at - created_at)) / 3600), 1
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) AS avg_resolution_hours,
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COUNT(*) AS ticket_count
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FROM support_tickets
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WHERE resolved_at IS NOT NULL
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AND EXTRACT(EPOCH FROM (resolved_at - created_at)) / 3600 <= 720
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GROUP BY 1
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ORDER BY 2
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