Single-file pipeline

A minimal DAG-file-mode pipeline lives under examples/single-file/. One YAML, one CSV, one command.

What it does

Loads penguin observations, filters to the Adelie species, groups by island, and reports mean bill length, mean flipper length, and count per group.

Layout

examples/single-file/
├── pipeline.dag.yaml          # the entire pipeline
└── data/
    └── penguins.csv           # ~340 rows of measurements

The DAG

specification_version: "2.1"

nodes:
  - id: penguins
    kind: source
    path: data/penguins.csv

  - id: adelie_only
    kind: filter
    inputs: [penguins]
    expr: '[species] == "Adelie"'

  - id: by_island
    kind: aggregate
    inputs: [adelie_only]
    groupBy: ["[island]"]
    metrics:
      - "[mean_bill_length] = [bill_length_mm].mean()"
      - "[mean_flipper_length] = [flipper_length_mm].mean()"
      - "[n] = [bill_length_mm].count()"

Running it

rime validate examples/single-file/pipeline.dag.yaml
rime run examples/single-file/pipeline.dag.yaml
rime build examples/single-file/pipeline.dag.yaml

Outputs land under examples/single-file/outputs/by_island/default.parquet.

The final aggregate is:

island	mean_bill_length	mean_flipper_length	n
Biscoe	40.30	195.00	1
Dream	39.15	180.00	2
Torgersen	39.30	183.50	2

rime build also writes examples/single-file/outputs/run_report.html.

Why start here

No language nodes, no Python / R interpreters required, no companion report file. This is the smallest amount of Rime that does something interesting — useful for verifying your install or as the seed of a larger pipeline you grow into.

What To Inspect

• pipeline.dag.yaml to see the full DAG in one file.
• outputs/by_island/default.parquet to inspect the final table directly.
• outputs/run_report.html to review status, cache state, output shape, and preview rows in the browser.