textual-capture 0.3.0
Sequenced screen capture for Textual TUI applications. Enables AI assistants to review and test TUIs.
License: MIT
Requires Python: >=3.9
Keywords: textual, tui, terminal, screenshot, screen capture, developer-tools, ai, llm, ai-tools, automated-testing, testing, automation, claude-code

# textual-capture

**Sequenced screenshot capture for Textual TUI applications**

[![PyPI - Version](https://img.shields.io/pypi/v/textual-capture?label=PyPI)](https://pypi.org/project/textual-capture/)
[![Python Version](https://img.shields.io/pypi/pyversions/textual-capture)](https://pypi.org/project/textual-capture/)
[![Tests](https://github.com/eyecantell/textual-capture/actions/workflows/ci.yml/badge.svg)](https://github.com/eyecantell/textual-capture/actions)
[![Coverage](https://codecov.io/gh/eyecantell/textual-capture/graph/badge.svg)](https://codecov.io/gh/eyecantell/textual-capture)
[![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT)

`textual-capture` automates UI interactions in your Textual apps and captures screenshots at key moments. Define sequences of key presses, clicks, and delays in simple TOML files.

Perfect for:
- 🤖 **LLM-driven TUI review and testing** (AI can generate configs and analyze output)
- 📸 **Documentation screenshots** (consistent, reproducible captures)
- 🎬 **Demo creation** (step-through your app automatically)
- ✅ **Visual regression prep** (capture baseline states)

---

## Quick Start

### Installation

```bash
pip install textual-capture
```

### Your First Capture

Create `demo.toml`:

```toml
app_module = "my_app"
app_class = "MyApp"

[[step]]
type = "press"
keys = ["tab", "tab", "enter"]

[[step]]
type = "capture"
output = "my_screenshot"
```

Run it:

```bash
textual-capture demo.toml
```

This creates:
- `my_screenshot.svg` (visual)
- `my_screenshot.txt` (text representation)
- `my_screenshot_tooltips.txt` (widget tooltips)

---

## Core Features

### Multi-Step Sequences
Chain actions together:
```toml
[[step]]
type = "press"
keys = ["ctrl+n"]         # Open new dialog

[[step]]
type = "delay"
seconds = 0.5             # Wait for animation

[[step]]
type = "click"
label = "Submit"          # Click button

[[step]]
type = "capture"          # Take screenshot
```

### Auto-Sequencing
Omit output names for automatic numbering:
```toml
[[step]]
type = "capture"
# Creates: capture_001.svg, capture_001.txt, capture_001_tooltips.txt

[[step]]
type = "press"
keys = ["down"]

[[step]]
type = "capture"
# Creates: capture_002.svg, capture_002.txt, capture_002_tooltips.txt
```

### Keyboard Shortcuts
Full modifier support:
```toml
[[step]]
type = "press"
keys = ["ctrl+s", "ctrl+shift+p", "alt+f4"]
```

### Smart Tooltips
Tooltips captured automatically with every screenshot (opt-out if not needed):
```toml
# Enabled by default - just works!
[[step]]
type = "capture"

# Disable if not needed
[[step]]
type = "capture"
capture_tooltips = false

# Capture only tooltips (fast!)
[[step]]
type = "capture"
formats = []              # Skip SVG/TXT
capture_tooltips = true
```

### Organized Output
```toml
output_dir = "./screenshots"   # All files go here
formats = ["svg"]              # Only generate SVG (faster)
```

### Validation
Check your config before running:
```bash
textual-capture demo.toml --dry-run
```

Shows planned steps, validates imports, catches errors.

---

## Common Use Cases

### Documentation Screenshots
```toml
output_dir = "./docs/screenshots"
formats = ["svg"]

[[step]]
type = "capture"
output = "main_menu"

[[step]]
type = "press"
keys = ["tab", "enter"]

[[step]]
type = "capture"
output = "settings_dialog"
```

### LLM UI Analysis
```toml
output_dir = "./llm_review"
formats = ["txt"]           # Text for AI analysis
capture_tooltips = true     # Include tooltip data

[[step]]
type = "capture"
# AI can read the text files and tooltips
```

Then: `cat llm_review/*.txt | claude analyze-ui`

### Accessibility Audit
```toml
formats = []                     # Skip visuals
capture_tooltips = true
tooltip_include_empty = true     # Show missing tooltips

[[step]]
type = "capture"
output = "tooltip_audit"
```

Review `tooltip_audit_tooltips.txt` for widgets with `(no tooltip)`.

### Keyboard Workflow Testing
```toml
[[step]]
type = "press"
keys = ["ctrl+o"]           # Open file

[[step]]
type = "delay"
seconds = 0.5

[[step]]
type = "press"
keys = ["t", "e", "s", "t"]
pause_between = 0.1           # Slow typing

[[step]]
type = "press"
keys = ["enter"]

[[step]]
type = "capture"
output = "file_opened"
```

---

## Configuration Reference

### Required Fields

```toml
app_module = "path.to.module"      # Python module with your app
app_class = "MyApp"                # Textual App class name
```

### Global Settings

```toml
# Screen size
screen_width = 100                 # Default: 80
screen_height = 40                 # Default: 40

# Timing
initial_delay = 1.0                # Wait before first action (default: 1.0)

# Behavior
scroll_to_top = true               # Press "home" at start (default: true)
module_path = "."                  # Add to sys.path (optional)

# Output
output_dir = "./screenshots"       # Where to save files (default: ".")
formats = ["svg", "txt"]           # Formats to generate (default: both)

# Tooltips
capture_tooltips = true            # Capture tooltips (default: true)
widget_selector = "*"             # CSS selector (default: all widgets)
tooltip_include_empty = false      # Show widgets without tooltips (default: false)
```

### Action Types

#### Press Keys
```toml
[[step]]
type = "press"
keys = ["tab", "ctrl+s", "enter"]  # List syntax (preferred)
pause_between = 0.2                  # Seconds between keys (default: 0.2)

# Legacy comma-separated syntax still works
key = "tab,ctrl+s,enter"
```

**Supported modifiers**: `ctrl+`, `shift+`, `alt+`, `meta+`

#### Click Button
```toml
[[step]]
type = "click"
label = "Submit"                   # Button text (spaces removed for ID)
```

#### Delay
```toml
[[step]]
type = "delay"
seconds = 1.5                      # Seconds to wait
```

#### Capture Screenshot
```toml
[[step]]
type = "capture"
output = "my_state"                # Optional: custom name
formats = ["svg", "txt"]           # Optional: override global
capture_tooltips = true            # Optional: override global
widget_selector = "Button"        # Optional: custom selector
tooltip_include_empty = false      # Optional: override global
```

If `output` is omitted, auto-generates `capture_001`, `capture_002`, etc.

---

## Advanced Features

### Selective Formats

Generate only what you need:

```toml
# Global default
formats = ["svg"]  # Only SVG (faster)

[[step]]
type = "capture"
output = "visual_only"
# Uses global: svg only

[[step]]
type = "capture"
output = "complete"
formats = ["svg", "txt"]  # Override: both formats
```

Valid formats: `svg`, `txt`

### Tooltip Configuration

Fine-tune tooltip capture:

```toml
# Capture all widgets with tooltips
[[step]]
type = "capture"
output = "all_tooltips"

# Capture only buttons
[[step]]
type = "capture"
output = "button_tooltips"
widget_selector = "Button"

# Include widgets without tooltips
[[step]]
type = "capture"
output = "complete_audit"
tooltip_include_empty = true
```

**Tooltip file format:**
```
# Tooltips captured from: my_state
# Selector: *
# Timestamp: 2025-12-20 10:30:45

Button#run: Start the selected command
Button#cancel: Abort operation (Esc)
Input#search: Search for items
Label#status: (no tooltip)
```

### Tooltip-Only Captures

Skip expensive rendering for fast metadata extraction:

```toml
formats = []              # No SVG or TXT
capture_tooltips = true

[[step]]
type = "capture"
output = "metadata_only"
# Creates only: metadata_only_tooltips.txt
```

**Use cases:**
- Fast UI audits
- Tooltip validation
- LLM analysis pipelines
- Documentation generation

---

## CLI Usage

```bash
# Run capture sequence
textual-capture config.toml

# Show all actions as they execute
textual-capture config.toml --verbose

# Suppress all output except errors
textual-capture config.toml --quiet

# Validate config without running
textual-capture config.toml --dry-run
```

**Dry-run output example:**
```
Configuration: demo.toml
App: my_app.MyApp
Screen: 80x40
Output Directory: ./screenshots
Default Formats: svg, txt
Capture Tooltips: True
Tooltip Selector: *

Planned Steps (4 total):
  1. press: keys=['tab', 'tab', 'enter']
  2. delay: 0.5s
  3. capture: output="my_state", formats=[svg, txt], tooltips=*
  4. press: keys=['ctrl+q']

Validating module import...
✓ Successfully imported MyApp from my_app

✓ Configuration valid and ready to execute
```

---

## 🤖 LLM-Driven Workflows

**Primary Use Case**: AI assistants can generate configs, run captures, and analyze output.

### How LLMs Use textual-capture

1. **Generate TOML config** based on user request
2. **Run with `--dry-run`** to validate
3. **Execute capture** to get screenshots + tooltips
4. **Analyze text files** (`.txt` and `_tooltips.txt`)
5. **Report findings** to user

### Example: Claude Code Integration

User: *"Check if my settings dialog has proper tooltips"*

Claude:
1. Creates `settings_check.toml`:
```toml
app_module = "your_app"
app_class = "YourApp"
formats = []
capture_tooltips = true
tooltip_include_empty = true

[[step]]
type = "press"
keys = ["ctrl+comma"]  # Open settings

[[step]]
type = "capture"
output = "settings_tooltips"
```

2. Runs: `textual-capture settings_check.toml`
3. Reads: `settings_tooltips_tooltips.txt`
4. Reports: *"Found 3 buttons without tooltips: Button#apply, Button#reset, Button#advanced"*

**Pro tip**: Copy `LLM_INSTRUCTIONS.md` into your project's `CLAUDE.md` file to give Claude Code full context.

---

## Comparison with Other Tools

| Feature                        | textual-dev screenshot | pytest-textual-snapshot | **textual-capture** |
|-------------------------------|-------------------------|--------------------------|---------------------|
| Single capture                | Yes                     | Yes                      | Yes                 |
| Multi-step sequences          | No                      | No                       | ✅ Yes              |
| Keyboard shortcuts            | No                      | No                       | ✅ Yes              |
| Button clicks                 | No                      | No                       | ✅ Yes              |
| Delays/timing                 | No                      | No                       | ✅ Yes              |
| Auto-sequencing               | No                      | No                       | ✅ Yes              |
| Tooltip capture               | No                      | No                       | ✅ Yes              |
| Dry-run validation            | No                      | No                       | ✅ Yes              |
| Organized output              | No                      | No                       | ✅ Yes              |
| LLM-friendly                  | No                      | No                       | ✅ Yes              |
| Human-readable config         | No                      | No                       | ✅ Yes              |

---

## Tips & Best Practices

### For Documentation
- Use `formats = ["svg"]` for faster generation
- Use descriptive output names: `output = "main_menu"`
- Keep sequences focused on one feature/flow

### For LLM Analysis
- Use `formats = ["txt"]` + `capture_tooltips = true`
- Use `tooltip_include_empty = true` for audits
- Auto-sequence unnamed captures for exploration

### For Testing
- Use `--dry-run` during development
- Use `output_dir` to keep project root clean
- Validate configs in CI with dry-run

### For Performance
- Use selective formats: `formats = ["svg"]` or `["txt"]`
- Use `formats = []` for tooltip-only captures
- Reduce `initial_delay` if your app renders quickly

---

## Examples

See the `examples/` directory for:
- `llm_review.toml` - LLM-driven UI analysis template
- `keyboard_shortcuts.toml` - Complex keyboard workflows
- `tooltip_audit.toml` - Accessibility checking
- `documentation.toml` - Multi-capture documentation

---

## Contributing

Contributions welcome! See [CONTRIBUTING.md](CONTRIBUTING.md) (coming soon).

Issues and feature requests: https://github.com/eyecantell/textual-capture/issues

---

## License

MIT © 2025 Paul Neumann