datalab-cli 0.1.0

A powerful CLI for converting, extracting, and processing documents using the Datalab API
Documentation
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# workflows

Workflow management operations.

## Synopsis

```
datalab workflows <COMMAND>
```

## Description

Create, execute, and manage document processing workflows. Workflows allow you to chain multiple processing steps together for complex document pipelines.

---

## Commands

| Command | Description |
|---------|-------------|
| [`create`]#create | Create a new workflow |
| [`list`]#list | List all workflows |
| [`get`]#get | Get workflow details |
| [`execute`]#execute | Execute a workflow |
| [`execution`]#execution | Get execution status |
| [`delete`]#delete | Delete a workflow |
| [`step-types`]#step-types | List available step types |

---

## create

Create a new workflow.

### Synopsis

```
datalab workflows create [OPTIONS] --name <NAME> --steps <FILE>
```

### Options

| Option | Description |
|--------|-------------|
| `--name <NAME>` | Workflow name **(required)** |
| `--steps <FILE>` | JSON file containing workflow steps **(required)** |
| `--team-id <ID>` | Team ID for ownership |
| `--timeout <SECS>` | Request timeout in seconds (default: 60) |

### Example

```bash
# Create workflow from steps file
datalab workflows create --name "invoice-processor" --steps workflow.json
```

Where `workflow.json` contains:
```json
{
  "steps": [
    {
      "type": "convert",
      "config": {
        "output_format": "markdown"
      }
    },
    {
      "type": "extract",
      "config": {
        "schema": {
          "fields": [
            {"name": "total", "type": "number"}
          ]
        }
      }
    }
  ]
}
```

### Output

```json
{
  "workflow_id": "wf_abc123",
  "name": "invoice-processor",
  "created_at": "2024-01-15T10:30:00Z"
}
```

---

## list

List all workflows.

### Synopsis

```
datalab workflows list [OPTIONS]
```

### Options

| Option | Description | Default |
|--------|-------------|---------|
| `--timeout <SECS>` | Request timeout in seconds | `60` |

### Example

```bash
datalab workflows list
```

### Output

```json
{
  "workflows": [
    {
      "workflow_id": "wf_abc123",
      "name": "invoice-processor",
      "created_at": "2024-01-15T10:30:00Z"
    }
  ]
}
```

---

## get

Get workflow details.

### Synopsis

```
datalab workflows get [OPTIONS] <WORKFLOW_ID>
```

### Arguments

| Argument | Description |
|----------|-------------|
| `<WORKFLOW_ID>` | Workflow ID |

### Options

| Option | Description | Default |
|--------|-------------|---------|
| `--timeout <SECS>` | Request timeout in seconds | `60` |

### Example

```bash
datalab workflows get wf_abc123
```

### Output

```json
{
  "workflow_id": "wf_abc123",
  "name": "invoice-processor",
  "steps": [
    {"type": "convert", "config": {...}},
    {"type": "extract", "config": {...}}
  ],
  "created_at": "2024-01-15T10:30:00Z"
}
```

---

## execute

Execute a workflow.

### Synopsis

```
datalab workflows execute [OPTIONS] <WORKFLOW_ID> --input <FILE>
```

### Arguments

| Argument | Description |
|----------|-------------|
| `<WORKFLOW_ID>` | Workflow ID |

### Options

| Option | Description |
|--------|-------------|
| `--input <FILE>` | JSON file containing input configuration **(required)** |
| `--timeout <SECS>` | Request timeout in seconds (default: 300) |

### Example

```bash
datalab workflows execute wf_abc123 --input input.json
```

Where `input.json` contains:
```json
{
  "file_url": "https://example.com/invoice.pdf"
}
```

Or with a local file reference:
```json
{
  "file_id": "file_xyz789"
}
```

### Output

```json
{
  "execution_id": "exec_def456",
  "workflow_id": "wf_abc123",
  "status": "running",
  "started_at": "2024-01-15T10:35:00Z"
}
```

---

## execution

Get execution status.

### Synopsis

```
datalab workflows execution [OPTIONS] <EXECUTION_ID>
```

### Arguments

| Argument | Description |
|----------|-------------|
| `<EXECUTION_ID>` | Execution ID |

### Options

| Option | Description | Default |
|--------|-------------|---------|
| `--timeout <SECS>` | Request timeout in seconds | `60` |

### Example

```bash
datalab workflows execution exec_def456
```

### Output

```json
{
  "execution_id": "exec_def456",
  "workflow_id": "wf_abc123",
  "status": "completed",
  "started_at": "2024-01-15T10:35:00Z",
  "completed_at": "2024-01-15T10:35:30Z",
  "results": {
    "step_0": {...},
    "step_1": {...}
  }
}
```

### Status Values

| Status | Description |
|--------|-------------|
| `pending` | Waiting to start |
| `running` | Currently executing |
| `completed` | Finished successfully |
| `failed` | Execution failed |

---

## delete

Delete a workflow.

### Synopsis

```
datalab workflows delete [OPTIONS] <WORKFLOW_ID>
```

### Arguments

| Argument | Description |
|----------|-------------|
| `<WORKFLOW_ID>` | Workflow ID |

### Options

| Option | Description | Default |
|--------|-------------|---------|
| `--timeout <SECS>` | Request timeout in seconds | `60` |

### Example

```bash
datalab workflows delete wf_abc123
```

### Output

```json
{
  "deleted": true,
  "workflow_id": "wf_abc123"
}
```

---

## step-types

List available step types.

### Synopsis

```
datalab workflows step-types [OPTIONS]
```

### Options

| Option | Description | Default |
|--------|-------------|---------|
| `--timeout <SECS>` | Request timeout in seconds | `60` |

### Example

```bash
datalab workflows step-types
```

### Output

```json
{
  "step_types": [
    {
      "type": "convert",
      "description": "Convert document to structured format",
      "config_schema": {...}
    },
    {
      "type": "extract",
      "description": "Extract structured data",
      "config_schema": {...}
    }
  ]
}
```

---

## Workflow Example

```bash
# 1. Check available step types
datalab workflows step-types

# 2. Create workflow definition file
cat > workflow.json << 'EOF'
{
  "steps": [
    {
      "type": "convert",
      "config": {"output_format": "markdown"}
    },
    {
      "type": "extract",
      "config": {
        "schema": {
          "fields": [{"name": "total", "type": "number"}]
        }
      }
    }
  ]
}
EOF

# 3. Create the workflow
datalab workflows create --name "invoice-pipeline" --steps workflow.json

# 4. Create input configuration
cat > input.json << 'EOF'
{
  "file_url": "https://example.com/invoice.pdf"
}
EOF

# 5. Execute the workflow
datalab workflows execute wf_abc123 --input input.json

# 6. Check execution status
datalab workflows execution exec_def456
```

---

## Related Commands

- [`convert`]convert.md - Single document conversion
- [`extract`]extract.md - Single document extraction
- [`files`]files.md - Upload files for workflow input

---

## See Also

- [Workflows Tutorial]../tutorials/workflows.md