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
39 lines
1.1 KiB
YAML
39 lines
1.1 KiB
YAML
- name: customer_count
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display_name: Customer Count
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category: customers
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type: count_distinct
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unit: customers
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grain: monthly
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time_column: created_at
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table: customers
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expression: "COUNT(DISTINCT customer_id)"
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description: "Total number of unique customers. Tracks customer base growth over time. Counts distinct customer records based on registration date."
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dimensions:
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- segment
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- region
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- acquisition_channel
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notes:
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- "Counts only active customers (not deleted or merged)"
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- "A customer is counted in the month of their first registration"
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- "Segment is assigned based on lifetime spend thresholds"
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synonyms:
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- total_customers
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- customer_base
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- active_customers
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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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COUNT(DISTINCT customer_id) AS new_customers
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FROM customers
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WHERE status = 'active'
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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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segment,
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COUNT(DISTINCT customer_id) AS customer_count,
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AVG(lifetime_value) AS avg_ltv
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FROM customers
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WHERE status = 'active'
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GROUP BY 1
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ORDER BY 2 DESC
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