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
41 lines
1.2 KiB
YAML
41 lines
1.2 KiB
YAML
- name: revenue_by_channel
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display_name: Revenue by Channel
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category: revenue
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type: sum
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unit: USD
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grain: monthly
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time_column: order_date
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table: orders
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expression: "SUM(total_amount) GROUP BY channel"
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description: "Revenue breakdown by sales channel (web, mobile, in-store, marketplace). Identifies highest-performing channels and guides marketing spend allocation."
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dimensions:
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- channel
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- region
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- product_category
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notes:
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- "Channel is assigned at order creation and does not change"
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- "Marketplace channel includes all third-party platforms (Amazon, eBay, etc.)"
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- "Cross-channel attribution is not applied; each order is counted once"
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synonyms:
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- channel_revenue
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- sales_by_channel
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sql: |
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SELECT
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DATE_TRUNC('month', order_date) AS month,
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channel,
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SUM(total_amount) AS revenue,
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COUNT(*) AS order_count
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FROM orders
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WHERE status = 'completed'
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GROUP BY 1, 2
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ORDER BY 1, 3 DESC
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sql_by_region: |
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SELECT
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DATE_TRUNC('month', order_date) AS month,
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channel,
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region,
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SUM(total_amount) AS revenue
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FROM orders
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WHERE status = 'completed'
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GROUP BY 1, 2, 3
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ORDER BY 1, 4 DESC
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