Linear Pipeline

The simplest pipeline pattern: A → B → C.

generate_data → compute_stats → format_report

What It Does

1. generate_data: Creates a CSV with random sensor readings (timestamp, temperature, humidity)
2. compute_stats: Calculates min, max, mean for each column
3. format_report: Converts stats to a human-readable text report

Run It

# Full pipeline
loom examples/linear/pipeline.yml

# Check the outputs
cat examples/linear/data/readings.csv      # Raw generated data
cat examples/linear/data/stats.json        # Computed statistics
cat examples/linear/data/report.txt        # Final report

# Run just one step
loom examples/linear/pipeline.yml --step compute_stats

# Open in editor
loom-ui examples/linear/pipeline.yml

Files

• pipeline.yml — Pipeline configuration
• tasks/generate_data.py — Generates synthetic sensor data
• tasks/compute_stats.py — Computes statistics from CSV
• tasks/format_report.py — Formats stats as text report
• data/ — Input/output directory