feat: add loaders and dbt models for Toronto housing data
Sprint 4 implementation: Loaders: - base.py: Session management, bulk insert, upsert utilities - dimensions.py: Load time, district, zone, neighbourhood, policy dimensions - trreb.py: Load TRREB purchase data to fact_purchases - cmhc.py: Load CMHC rental data to fact_rentals dbt Project: - Project configuration (dbt_project.yml, packages.yml) - Staging models for all fact and dimension tables - Intermediate models with dimension enrichment - Marts: purchase analysis, rental analysis, market summary Closes #16 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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dbt/profiles.yml.example
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21
dbt/profiles.yml.example
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toronto_housing:
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target: dev
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outputs:
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dev:
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type: postgres
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host: localhost
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user: portfolio
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password: "{{ env_var('POSTGRES_PASSWORD') }}"
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port: 5432
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dbname: portfolio
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schema: public
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threads: 4
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prod:
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type: postgres
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host: "{{ env_var('POSTGRES_HOST') }}"
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user: "{{ env_var('POSTGRES_USER') }}"
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password: "{{ env_var('POSTGRES_PASSWORD') }}"
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port: 5432
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dbname: portfolio
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schema: public
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threads: 4
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