ea86940b78
Pulls in template changes: export_serving.py for atomic DuckDB swap, supervisor export step, SQLMesh glob macro, server provisioning script, imprint template, and formatting improvements. Template scaffold SQL models excluded (padelnomics has real models). Web app routes/analytics unchanged (padelnomics-specific customizations). Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
114 lines
3.3 KiB
Markdown
114 lines
3.3 KiB
Markdown
# CLAUDE.md — Padelnomics
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This file tells Claude Code how to work in this repository.
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## Project Overview
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Padelnomics is a SaaS application built with Quart (async Python), HTMX, and SQLite.
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It includes a full data pipeline:
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```
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External APIs → extract → landing zone → SQLMesh transform → DuckDB → web app
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```
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**Packages** (uv workspace):
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- `web/` — Quart + HTMX web application (auth, billing, dashboard)
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- `extract/padelnomics_extract/` — data extraction to local landing zone
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- `transform/sqlmesh_padelnomics/` — 4-layer SQL transformation (raw → staging → foundation → serving)
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- `src/padelnomics/` — CLI utilities, export_serving helper
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## Skills: invoke these for domain tasks
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### Working on extraction or transformation?
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Use the **`data-engineer`** skill for:
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- Designing or reviewing SQLMesh model logic
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- Adding a new data source (extract + raw + staging models)
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- Performance tuning DuckDB queries
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- Data modeling decisions (dimensions, facts, aggregates)
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- Understanding the 4-layer architecture
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```
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/data-engineer (or ask Claude to invoke it)
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```
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### Working on the web app UI or frontend?
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Use the **`frontend-design`** skill for UI components, templates, or dashboard layouts.
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### Working on payments or subscriptions?
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Use the **`paddle-integration`** skill for billing, webhooks, and subscription logic.
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## Key commands
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```bash
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# Install all dependencies
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uv sync --all-packages
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# Lint & format
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ruff check .
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ruff format .
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# Run tests
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uv run pytest tests/ -v
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# Dev server
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./scripts/dev_run.sh
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# Extract data
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LANDING_DIR=data/landing uv run extract
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# SQLMesh plan + run (from repo root)
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uv run sqlmesh -p transform/sqlmesh_padelnomics plan
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uv run sqlmesh -p transform/sqlmesh_padelnomics plan prod
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# Export serving tables (run after SQLMesh)
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DUCKDB_PATH=local.duckdb SERVING_DUCKDB_PATH=analytics.duckdb \
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uv run python -m padelnomics.export_serving
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```
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## Architecture documentation
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| Topic | File |
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|-------|------|
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| Extraction patterns, state tracking, adding new sources | `extract/padelnomics_extract/README.md` |
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| 4-layer SQLMesh architecture, materialization strategy | `transform/sqlmesh_padelnomics/README.md` |
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| Two-file DuckDB architecture (SQLMesh lock isolation) | `src/padelnomics/export_serving.py` docstring |
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## Pipeline data flow
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```
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data/landing/
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└── padelnomics/{year}/{etag}.csv.gz ← extraction output
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local.duckdb ← SQLMesh exclusive (raw → staging → foundation → serving)
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analytics.duckdb ← serving tables only, web app read-only
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└── serving.* ← atomically replaced by export_serving.py
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```
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## Environment variables
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| Variable | Default | Description |
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|----------|---------|-------------|
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| `LANDING_DIR` | `data/landing` | Landing zone root (extraction writes here) |
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| `DUCKDB_PATH` | `local.duckdb` | SQLMesh pipeline DB (exclusive write) |
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| `SERVING_DUCKDB_PATH` | `analytics.duckdb` | Read-only DB for web app |
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## Coding philosophy
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- **Simple and procedural** — functions over classes, no "Manager" patterns
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- **Idempotent operations** — running twice produces the same result
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- **Explicit assertions** — assert preconditions at function boundaries
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- **Bounded operations** — set timeouts, page limits, buffer sizes
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Read `coding_philosophy.md` (if present) for the full guide.
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