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
45 lines
1.3 KiB
YAML
45 lines
1.3 KiB
YAML
- name: average_order_value
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display_name: Average Order Value
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category: revenue
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type: average
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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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tables:
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- orders
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- customers
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expression: "AVG(total_amount)"
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description: "Average monetary value per order. Key indicator of customer purchasing behavior and pricing effectiveness. Joins to customers for segmentation."
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dimensions:
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- channel
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- customer_segment
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- product_category
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- is_first_order
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notes:
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- "Calculated only on completed orders"
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- "Joins to customers table via customer_id for segment analysis"
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- "Useful to compare AOV by new vs returning customers"
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synonyms:
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- aov
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- avg_basket_size
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sql: |
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SELECT
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DATE_TRUNC('month', o.order_date) AS month,
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AVG(o.total_amount) AS avg_order_value,
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COUNT(*) AS order_count
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FROM orders o
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WHERE o.status = 'completed'
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GROUP BY 1
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ORDER BY 1
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sql_by_segment: |
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SELECT
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DATE_TRUNC('month', o.order_date) AS month,
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c.segment AS customer_segment,
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AVG(o.total_amount) AS avg_order_value,
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COUNT(*) AS order_count
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FROM orders o
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JOIN customers c ON o.customer_id = c.customer_id
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WHERE o.status = 'completed'
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GROUP BY 1, 2
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ORDER BY 1, 3 DESC
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