# Art DAG Client

CLI for interacting with the Art DAG L1 rendering server.

## Setup

```bash
pip install -r requirements.txt
```

## Usage

```bash
# Set server URL (default: http://localhost:8100)
export ARTDAG_SERVER=http://localhost:8100

# Or pass with every command
./artdag.py --server http://localhost:8100 <command>
```

## Commands

### Server Info
```bash
./artdag.py info
```

### List Known Assets
```bash
./artdag.py assets
```

### Start a Rendering Run
```bash
# Using asset name
./artdag.py run dog cat

# Using content hash
./artdag.py run dog 33268b6e167deaf018cc538de12dbe562612b33e89a749391cef855b320a269b

# Wait for completion
./artdag.py run dog cat --wait

# Custom output name
./artdag.py run dog cat --name my-dog-video
```

### List Runs
```bash
./artdag.py runs
./artdag.py runs --limit 20
```

### Check Run Status
```bash
./artdag.py status <run-id>
```

### List Cached Content
```bash
./artdag.py cache
```

### View/Download Cached Content
```bash
# Show info
./artdag.py view <content-hash>

# Download to file
./artdag.py view <content-hash> -o output.mkv

# Pipe to mpv (use -o - for stdout)
./artdag.py view <content-hash> -o - | mpv -
```

### Import Local File to Cache
```bash
./artdag.py import /path/to/file.jpg
```

## Example Workflow

```bash
# Check server
./artdag.py info

# See available assets
./artdag.py assets

# Run dog effect on cat, wait for result
./artdag.py run dog cat --wait

# List completed runs
./artdag.py runs

# Download the output
./artdag.py view <output-hash> -o result.mkv
```