feat: add monorepo dbt projects for e2e testing

dbt/analytics/dbt_project.yml

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+name: 'analytics'
+
+config-version: 2
+version: '0.1'
+
+profile: 'jaffle_shop'
+
+model-paths: ["models"]
+seed-paths: ["seeds"]
+test-paths: ["tests"]
+analysis-paths: ["analysis"]
+macro-paths: ["macros"]
+
+target-path: "target"
+clean-targets:
+    - "target"
+    - "dbt_modules"
+    - "logs"
+
+require-dbt-version: [">=1.0.0", "<2.0.0"]
+
+models:
+  analytics:
+    materialized: table

dbt/analytics/models/customer_lifetime_value.sql

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+-- Customer Lifetime Value (CLV) analysis
+-- Segments customers by purchase behavior and calculates lifetime value
+
+{{ config(materialized='table') }}
+
+with customer_orders as (
+    select
+        customer_id,
+        min(order_date) as first_order_date,
+        max(order_date) as last_order_date,
+        count(*) as total_orders,
+        sum(amount) as total_spent
+    from {{ source('jaffle_shop', 'orders') }}
+    group by 1
+),
+
+customer_metrics as (
+    select
+        customer_id,
+        first_order_date,
+        last_order_date,
+        total_orders,
+        total_spent,
+        total_spent / nullif(total_orders, 0) as avg_order_value,
+        datediff('day', first_order_date, last_order_date) as customer_lifespan_days
+    from customer_orders
+)
+
+select
+    customer_id,
+    first_order_date,
+    last_order_date,
+    total_orders,
+    total_spent as lifetime_value,
+    avg_order_value,
+    customer_lifespan_days,
+    case
+        when total_spent >= 100 then 'high_value'
+        when total_spent >= 50 then 'medium_value'
+        else 'low_value'
+    end as customer_segment
+from customer_metrics

dbt/analytics/models/monthly_revenue.sql

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+-- Monthly revenue summary for analytics
+-- This is a test model for monorepo setup
+
+{{ config(materialized='table') }}
+
+with orders as (
+    select
+        date_trunc('month', order_date) as month,
+        sum(amount) as total_revenue,
+        count(*) as order_count
+    from {{ source('jaffle_shop', 'orders') }}
+    group by 1
+)
+
+select
+    month,
+    total_revenue,
+    order_count,
+    total_revenue / nullif(order_count, 0) as avg_order_value
+from orders
+order by month desc

dbt/analytics/models/schema.yml

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+version: 2
+
+models:
+  - name: monthly_revenue
+    description: Monthly revenue aggregation for trend analysis
+    columns:
+      - name: month
+        description: First day of the month
+      - name: total_revenue
+        description: Sum of all order amounts in the month
+      - name: order_count
+        description: Number of orders in the month
+      - name: avg_order_value
+        description: Average order value for the month
+
+  - name: customer_lifetime_value
+    description: Customer lifetime value analysis with segmentation
+    columns:
+      - name: customer_id
+        description: Unique customer identifier
+      - name: first_order_date
+        description: Date of customer's first order
+      - name: last_order_date
+        description: Date of customer's most recent order
+      - name: total_orders
+        description: Total number of orders placed by customer
+      - name: lifetime_value
+        description: Total amount spent by customer
+      - name: avg_order_value
+        description: Average amount per order
+      - name: customer_lifespan_days
+        description: Days between first and last order
+      - name: customer_segment
+        description: Value segment (high_value, medium_value, low_value)
+        tests:
+          - accepted_values:
+              values: ['high_value', 'medium_value', 'low_value']

dbt/analytics/models/sources.yml

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+version: 2
+
+sources:
+  - name: jaffle_shop
+    schema: dev
+    tables:
+      - name: orders
+      - name: customers

dbt/analytics/profiles.yml

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+jaffle_shop:
+  target: dev
+  outputs:
+    dev:
+      type: duckdb
+      path: jaffle_shop.duckdb
+      threads: 24