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wild-pc/docs/python-tools.md

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# Python Tools in Castle
How to build CLI tools following Unix philosophy.
## Principles
- Each tool does one thing well
- Read from stdin or file argument, write to stdout
- Compose via pipes: `pdf2md doc.pdf | gpt "summarize this"`
- Status messages go to stderr (don't interfere with piping)
- Exit 0 on success, 1 on error
## Stack
| Layer | Choice |
|-------|--------|
| **CLI** | argparse |
| **Package manager** | uv (never pip) |
| **Build** | hatchling |
| **Testing** | pytest |
| **Linting** | ruff (shared `ruff.toml` at repo root) |
| **Type checking** | pyright (shared `pyrightconfig.json` at repo root) |
| **Python** | 3.11+ minimum |
## Project layout
Each tool is an independent project at the repo root with its own `pyproject.toml`:
```
my-tool/
├── src/my_tool/
│ ├── __init__.py
│ └── main.py # Entry point
├── tests/
│ └── test_main.py
├── pyproject.toml
└── CLAUDE.md
```
Examples: `pdf2md/`, `gpt/`, `protonmail/`
## Creating a new tool
```bash
castle create my-tool --type tool --description "Does something"
cd my-tool && uv sync
```
This scaffolds the project and registers it in `castle.yaml`.
## pyproject.toml
```toml
[project]
name = "my-tool"
version = "0.1.0"
description = "Does something useful"
requires-python = ">=3.11"
dependencies = []
[project.scripts]
my-tool = "my_tool.main:main"
[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[tool.hatch.build.targets.wheel]
packages = ["src/my_tool"]
[dependency-groups]
dev = ["pytest>=7.0.0"]
[tool.ruff.lint.isort]
known-first-party = ["my_tool"]
```
After `uv tool install --editable .`, the command is in PATH.
## Tool implementation patterns
### Simple tool: stdin/stdout
The most common pattern. Read from a file argument or stdin, process, write
to stdout.
```python
#!/usr/bin/env python3
"""
my-tool: Brief description
Usage:
my-tool [options] [FILE]
cat input.txt | my-tool
Examples:
my-tool input.txt
my-tool input.txt -o output.txt
cat input.txt | my-tool > output.txt
"""
import argparse
import sys
def process(data: str) -> str:
"""Core logic — pure function, easy to test."""
return data.upper()
def main() -> int:
parser = argparse.ArgumentParser(
description="Brief description",
formatter_class=argparse.RawDescriptionHelpFormatter,
)
parser.add_argument("input", nargs="?", help="Input file (default: stdin)")
parser.add_argument("-o", "--output", help="Output file (default: stdout)")
parser.add_argument("--version", action="version", version="my-tool 1.0.0")
args = parser.parse_args()
# Read
if args.input:
with open(args.input) as f:
data = f.read()
else:
data = sys.stdin.read()
# Process
result = process(data)
# Write
if args.output:
with open(args.output, "w") as f:
f.write(result)
print(f"Wrote to {args.output}", file=sys.stderr)
else:
print(result, end="")
return 0
if __name__ == "__main__":
sys.exit(main())
```
### Tool with subcommands
For complex tools with multiple operations:
```python
def cmd_init(args: argparse.Namespace) -> int:
"""Initialize a collection."""
directory = args.directory or "."
# ...
print(f"Initialized in {directory}")
return 0
def cmd_query(args: argparse.Namespace) -> int:
"""Search a collection."""
# ...
return 0
def main() -> int:
parser = argparse.ArgumentParser(description="Manage collections")
parser.add_argument("--version", action="version", version="1.0.0")
subparsers = parser.add_subparsers(dest="command")
init_p = subparsers.add_parser("init", help="Initialize")
init_p.add_argument("directory", nargs="?")
init_p.add_argument("--name", help="Collection name")
init_p.add_argument("--force", action="store_true")
query_p = subparsers.add_parser("query", help="Search")
query_p.add_argument("query", help="Search query")
query_p.add_argument("--limit", type=int, default=20)
args = parser.parse_args()
if args.command == "init":
return cmd_init(args)
elif args.command == "query":
return cmd_query(args)
else:
parser.print_help()
return 1
```
### Tool with external processes
When wrapping system commands:
```python
import subprocess
import sys
def convert(input_file: str, output_file: str) -> int:
try:
subprocess.run(
["pandoc", input_file, "-o", output_file],
check=True,
capture_output=True,
text=True,
)
return 0
except subprocess.CalledProcessError as e:
print(f"Error: {e}", file=sys.stderr)
if e.stderr:
print(e.stderr, file=sys.stderr)
return 1
except FileNotFoundError:
print("Error: pandoc not found. Install with: apt install pandoc",
file=sys.stderr)
return 1
```
Always use `check=True` and `capture_output=True` with subprocess. Handle
`FileNotFoundError` for missing system dependencies.
## Error handling
```python
def main() -> int:
try:
result = do_work()
print(result)
return 0
except SpecificError as e:
print(f"Error: {e}", file=sys.stderr)
return 1
except FileNotFoundError as e:
print(f"Error: file not found: {e}", file=sys.stderr)
return 1
```
Rules:
- Normal output goes to **stdout** (enables piping)
- Error messages go to **stderr**
- Status/progress messages go to **stderr**
- Return **0** for success, **1** for error
- Entry point: `sys.exit(main())`
## Piping
Tools compose naturally via Unix pipes:
```bash
# Convert and summarize
pdf2md paper.pdf | gpt "summarize this"
# Process a batch
for f in *.pdf; do pdf2md "$f" > "${f%.pdf}.md"; done
# Chain extractors
cat doc.txt | text-extractor | jq .content
```
## Testing
Tests use pytest. For standalone tools, test via subprocess to exercise the
real CLI interface:
```python
import subprocess
import sys
class TestCLI:
def test_version(self) -> None:
result = subprocess.run(
[sys.executable, "-m", "my_tool.main", "--version"],
capture_output=True,
text=True,
)
assert "my-tool" in result.stdout
def test_stdin(self) -> None:
result = subprocess.run(
[sys.executable, "-m", "my_tool.main"],
input="hello\n",
capture_output=True,
text=True,
)
assert result.returncode == 0
assert "hello" in result.stdout
def test_file_input(self, tmp_path) -> None:
input_file = tmp_path / "input.txt"
input_file.write_text("test data")
result = subprocess.run(
[sys.executable, "-m", "my_tool.main", str(input_file)],
capture_output=True,
text=True,
)
assert result.returncode == 0
assert "test data" in result.stdout
```
For unit testing core logic, import the function directly and test it as a
pure function.
## Commands
```bash
uv sync # Install deps
uv run my-tool --help # Run the tool
uv run pytest tests/ -v # Run tests
uv run ruff check . # Lint
uv run ruff format . # Format
```
## Registering in castle.yaml
```yaml
components:
my-tool:
description: Does something useful
tool:
source: my-tool/
install:
path:
alias: my-tool
```
Tools with system dependencies declare them in the manifest:
```yaml
components:
pdf2md:
description: Convert PDF files to Markdown
tool:
source: pdf2md/
system_dependencies: [pandoc, poppler-utils]
install:
path:
alias: pdf2md
```
Tools with `install.path` get the **tool** role. They don't need `expose`,
`proxy`, or `manage` blocks unless castle also runs them (e.g., scheduled jobs).
See @docs/component-registry.md for the full manifest reference.