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fix: Include seed-data in load-data target
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Now `make load-data` automatically seeds development data (amenities,
median_age) after loading Toronto data. Renamed seed-amenities to
seed-data to reflect broader scope.

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
Leo Miranda
2026-01-18 22:52:31 -05:00
parent 9cc2cf0e00
commit 546ee1cc92
1 changed files with 7 additions and 5 deletions
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12
Makefile
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@@ -1,4 +1,4 @@
.PHONY: setup docker-up docker-down db-init load-data seed-amenities run test dbt-run dbt-test lint format ci deploy clean help logs run-detached etl-toronto .PHONY: setup docker-up docker-down db-init load-data seed-data run test dbt-run dbt-test lint format ci deploy clean help logs run-detached etl-toronto
# Default target # Default target
.DEFAULT_GOAL := help .DEFAULT_GOAL := help
@@ -79,16 +79,18 @@ db-reset: ## Drop and recreate database (DESTRUCTIVE)
@sleep 3 @sleep 3
$(MAKE) db-init $(MAKE) db-init
load-data: ## Load Toronto data from APIs and run dbt load-data: ## Load Toronto data from APIs, seed dev data, run dbt
@echo "$(GREEN)Loading Toronto neighbourhood data...$(NC)" @echo "$(GREEN)Loading Toronto neighbourhood data...$(NC)"
$(PYTHON) scripts/data/load_toronto_data.py $(PYTHON) scripts/data/load_toronto_data.py
@echo "$(GREEN)Seeding development data...$(NC)"
$(PYTHON) scripts/data/seed_amenity_data.py
load-data-only: ## Load Toronto data without running dbt load-data-only: ## Load Toronto data without running dbt or seeding
@echo "$(GREEN)Loading Toronto data (skip dbt)...$(NC)" @echo "$(GREEN)Loading Toronto data (skip dbt)...$(NC)"
$(PYTHON) scripts/data/load_toronto_data.py --skip-dbt $(PYTHON) scripts/data/load_toronto_data.py --skip-dbt
seed-amenities: ## Seed sample amenity data (run after load-data) seed-data: ## Seed sample development data (amenities, median_age)
@echo "$(GREEN)Seeding amenity data...$(NC)" @echo "$(GREEN)Seeding development data...$(NC)"
$(PYTHON) scripts/data/seed_amenity_data.py $(PYTHON) scripts/data/seed_amenity_data.py
# ============================================================================= # =============================================================================