Basic Batch Configuration

---
name: orcaflex-batch-manager-basic-batch-configuration
description: 'Sub-skill of orcaflex-batch-manager: Basic Batch Configuration (+1).'
version: 1.0.0
category: engineering
type: reference
scripts_exempt: true
---

# Basic Batch Configuration (+1)

## Basic Batch Configuration


```yaml
# configs/batch_config.yml

batch:
  # Input files
  input:
    directory: "models/"
    pattern: "*.yml"           # or *.dat
    recursive: false

  # Output settings
  output:
    directory: "results/"
    sim_subdirectory: ".sim"
    log_directory: "logs/"

  # Processing settings
  processing:
    mode: "parallel"           # parallel, sequential, chunked
    max_workers: 20            # Maximum parallel workers
    adaptive_scaling: true     # Auto-adjust workers

    # Chunk settings for large batches
    chunk_size: 50             # Files per chunk
    pause_between_chunks: 5    # Seconds

  # Analysis settings
  analysis:
    run_statics: true
    run_dynamics: true
    simulation_duration: 10800  # 3 hours

  # Error handling
  error_handling:
    continue_on_error: true
    max_retries: 2
    timeout_per_file: 3600     # 1 hour max per file

  # Progress tracking
  progress:
    enabled: true
    update_interval: 10        # Seconds
    save_checkpoint: true
    checkpoint_interval: 100   # Files
```


## Advanced Batch Configuration


```yaml
# configs/batch_advanced.yml

batch:
  # Input filtering
  input:
    directory: "models/operability/"
    pattern: "*.yml"
    filters:
      include_patterns:
        - "*_100yr_*"
        - "*_10yr_*"
      exclude_patterns:
        - "*_draft_*"
        - "*_test_*"
    sort_by: "file_size"       # Process largest first

  # Resource optimization
  resources:
    max_workers: 30
    min_workers: 4

    # CPU management
    cpu_threshold: 90          # Reduce workers if >90%
    cpu_check_interval: 30     # Seconds

    # Memory management
    memory_threshold: 80       # Reduce workers if >80%
    memory_check_interval: 60  # Seconds

    # File size optimization
    file_size_scaling: true
    small_file_threshold: 1    # MB
    large_file_threshold: 10   # MB
    workers_for_large: 5       # Fewer workers for large files

  # Processing pipeline
  pipeline:
    stages:
      - name: "validation"
        enabled: true
        action: "validate_model"

      - name: "preprocessing"
        enabled: true
        action: "prepare_environment"

      - name: "simulation"
        enabled: true
        action: "run_simulation"

      - name: "postprocessing"
        enabled: true
        action: "extract_results"

  # Notifications
  notifications:
    on_start: true
    on_complete: true
    on_error: true
    email: null                # Optional email alerts

  # Performance tracking
  metrics:
    track_per_file: true
    track_memory: true
    track_cpu: true
    export_metrics: true
    metrics_file: "batch_metrics.json"
```