3467dbcf03
Full-stack application for predicting where humans look in images using DeepGaze saliency models. Includes heatmap overlays, gaze sequence prediction, hotspot detection, AOI analysis, rule-based insights, optional Claude AI design analysis, and professional PDF report generation. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
58 lines
2.4 KiB
Makefile
58 lines
2.4 KiB
Makefile
.PHONY: setup setup-backend setup-frontend dev dev-backend dev-frontend db-up db-migrate test clean
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# ─── Setup ───────────────────────────────────────────────────────────
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setup: setup-backend setup-frontend
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setup-backend:
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cd backend && python3.12 -m venv .venv
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cd backend && .venv/bin/pip install --upgrade pip
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cd backend && .venv/bin/pip install -e ".[dev]"
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cd backend && .venv/bin/pip install "deepgaze-pytorch @ git+https://github.com/matthias-k/DeepGaze.git"
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setup-frontend:
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cd frontend && npm install
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# ─── Database ────────────────────────────────────────────────────────
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db-up:
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docker compose up -d postgres
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db-migrate:
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cd backend && .venv/bin/alembic upgrade head
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db-revision:
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cd backend && .venv/bin/alembic revision --autogenerate -m "$(msg)"
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# ─── Development ─────────────────────────────────────────────────────
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dev: db-up dev-backend dev-frontend
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dev-backend:
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cd backend && .venv/bin/uvicorn app.main:app --host 0.0.0.0 --port 8000 --reload
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dev-frontend:
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cd frontend && npm run dev
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# ─── Docker ──────────────────────────────────────────────────────────
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docker-up:
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docker compose up --build
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docker-down:
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docker compose down
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# ─── Testing ─────────────────────────────────────────────────────────
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test:
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cd backend && .venv/bin/pytest -v
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test-backend:
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cd backend && .venv/bin/pytest -v
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# ─── Utilities ───────────────────────────────────────────────────────
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lint:
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cd backend && .venv/bin/ruff check app/ tests/
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lint-fix:
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cd backend && .venv/bin/ruff check --fix app/ tests/
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clean:
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find . -type d -name __pycache__ -exec rm -rf {} + 2>/dev/null || true
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find . -type d -name .pytest_cache -exec rm -rf {} + 2>/dev/null || true
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rm -rf backend/.venv frontend/node_modules
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