workflows
📘 API reference blocks (scroll‑centric module layout)#
These blocks follow the structure of the Workflows README and the style of your site’s documentation. github.com
batch_orchestrator.py#
batch_run(items, output_dir=None) → dict
items:
list of .fff file paths, in‑memory scroll objects, or mixed lists
output:
{
"timestamp": "...",
"count": N,
"results": [
{ "input": ..., "output": ... },
...
]
}
remix_generation.py#
remix_scroll(scroll_obj, rules=None) → dict
Produces a remix variant of a scroll object.
Preserves canonical anchors and adds remix metadata.
scroll_pipeline.py (Python)#
run_scroll(scroll_text) → dict
Parses and executes a scroll.
Returns:
{ "output": ..., "warnings": [...], "metadata": {...} }
scrollPipeline.js (JavaScript)#
runScroll(scrollText) → object
Browser‑native scroll execution.
Mirrors the Python pipeline API.
# 🔷 Workflow Diagram (Refreshed, Scroll‑Centric)
This diagram shows how the four workflow engines relate to each other using the updated scroll‑centric topology:
- Scrolls remain the canonical center
- Pipelines are execution paths (Python + JS symmetry)
- Remix generates lineage variants
- Batch coordinates multi‑scroll execution
- Engines orbit the scroll artifact, not each other
🔷 Text‑Based Diagram (Single‑Glance)#
🔷
┌──────────────────────────┐
│ remix_generation.py │
│ (Remix Lineage Engine) │
└──────────────▲───────────┘
│
produces variants
│
┌───────────────────────┴────────────────────────┐
│ │
│ Scrolls (.fff) │
│ (canonical RTT artifacts) │
│ │
└───────────────────────┬────────────────────────┘
│
executed by
│
┌──────────────────────────────┼──────────────────────────────┐
│ │ │
│ ┌────────────────────┐ │ ┌───────────────────┐ │
│ │ scroll_pipeline.py │ │ │ scrollPipeline.js │ │
│ │ (Python Engine) │ │ │ (JS Engine) │ │
│ └────────────────────┘ │ └───────────────────┘ │
│ │ │
└──────────────────────────────┴───────────────┬──────────────┘
│
executes many
│
┌──────────────────────────┐
│ batch_orchestrator.py │
│ (Batch Runner) │
└──────────────────────────┘
Interpretation#
- Remix Generation creates new scroll variants.
- Scroll Pipelines (Python + JS) execute scrolls in different runtime environments.
- Batch Orchestrator runs many scrolls or variants in sequence.
- Scrolls remain the invariant center; engines are operators around them.
This matches the modernized architecture shown in your Workflows page and the scroll‑centric Quickstart.
🔷 Updated Triadic Glyph (Scroll‑Centric)#
A glyph for this subsystem should reflect the updated relationships:
🌀 Scroll Artifact
┌───────────────┼────────────────┬────────────────┐
│ │ │ │
│ 🌐 JS Pipeline 🐍 Python Pipeline 🎨 Remix Engine
│ │ │ │
└───────────────┴────────────────┴────────────────┘
▼
📦 Batch Orchestrator
Interpretation#
- The scroll artifact is the invariant center.
- Pipelines and Remix orbit horizontally as sibling engines.
- Batch anchors the system by coordinating multi‑scroll execution.
- The glyph mirrors the structural relationships in the diagram above.
🔷 Notes for maintainers#
/docs/engine/has been archived; no engine‑era modules appear in this diagram.- All workflows now use the scroll‑centric module layout (
tft.scrolls.*). - Pipelines maintain Python/JS symmetry.
- Remix and Batch remain orthogonal operators.
## ⚡ Quickstart snippets (drop‑in for README or website)
These follow the QUICKSTART style from your site and GitHub docs. github.com
Run a single scroll (Python)#
from scroll_pipeline import run_scroll
scroll = """
emitter: demo
frequency: 144
"""
result = run_scroll(scroll)
print(result["output"])Run multiple scrolls (batch orchestrator)#
from batch_orchestrator import batch_run
paths = ["scrolls/a.fff", "scrolls/b.fff"]
report = batch_run(paths, output_dir="reports")
print(report["count"], "scrolls executed")Generate a remix variant#
from remix_generation import remix_scroll
scroll = """
emitter: demo
frequency: 144
"""
variant = remix_scroll(scroll)
print(variant["metadata"]["remix_id"])Run a scroll in the browser (JS)#
import { runScroll } from "./scrollPipeline.js";
const scroll = `
emitter: demo
frequency: 144
`;
const result = runScroll(scroll);
console.log(result.output);These snippets mirror the API shapes of the refreshed engines and match the tone of your existing QUICKSTART docs.
🌀⚙️📜
Scroll • Engine • Artifact # 🌀⚙️📜 Workflow Engines
Operational layer for RTT‑Inside: batches, pipelines, and remix generation#
This directory contains lightweight, substrate‑agnostic workflow modules used across TriadicFrameworks for scroll generation, batch execution, remix lineage creation, and resonance‑aware pipeline orchestration.
Each workflow is intentionally minimal: no external dependencies, no hidden state, and no assumptions about the host environment. They are designed to be portable, inspectable, and safe to remix.
🗂️ Index Card#
Lightweight, substrate‑agnostic execution tools for scrolls, batches, and remix lineages.
- 📦 Batch Orchestrator — deterministic multi‑scroll execution
- 🎨 Remix Generator — lineage‑safe remix creation
- 🌐 Scroll Pipeline (JS) — browser‑native execution path
- 🐍 Scroll Pipeline (Python) — programmatic scroll engine
These engines form the operational layer of RTT‑Inside, bridging scroll artifacts with executable pipelines across languages and environments.
📁 Contents of workflows folder#
🛤️ corridor_batch_validator.py#
Corridor‑level batch validator using RTT‑QEB primitives.
- Fetches corridor metadata
- Normalizes rail signatures
- Computes RCI and glyph
- Compares against stored metadata
- Emits a timestamped YAML validation report
📦 batch_orchestrator.py#
A scroll‑centric batch runner for executing multiple .fff artifacts through the Python scroll pipeline.
- Accepts file paths, in‑memory scroll objects, or mixed lists
- Loads and normalizes scrolls when needed
- Executes each scroll via
scroll_pipeline.py - Captures outputs, lineage metadata, and warnings
- Aggregates results into a deterministic batch report
- Optionally writes a timestamped YAML report for archival or analysis
This engine is substrate‑agnostic and forms the batch‑execution counterpart to the Python and JS scroll pipelines.
🎨 remix_generation.py#
A remix‑lineage generator that produces new scroll variants from a base artifact.
- Applies remix rules from TFT_3Pack
- Preserves canonical anchors (τᵣ, D3/D6/D9, emitter constants)
- Generates remix metadata blocks for downstream tools
- Ideal for student remix submissions or experimental scroll forks
🌐 scrollPipeline.js#
A JavaScript‑based scroll pipeline for browser‑side or lightweight client execution.
- Runs resonance flows without Python
- Integrates with
rtt.jsand site‑level overlays - Useful for interactive demos, web‑native scroll previews, and teaching tools
🐍 scroll_pipeline.py#
The Python counterpart to the JS pipeline.
- Provides a stable API for scroll parsing, validation, and execution
- Supports
.fffformat operations - Can be embedded into notebooks, CLI tools, or batch systems
🔧 Purpose of This Folder#
The workflows directory acts as the operational layer of TriadicFrameworks:
- A place for small, composable engines
- A bridge between RTT theory and practical execution
- A toolkit for students, developers, and researchers working with scrolls,
.ffffiles, or resonance‑aware pipelines - A foundation for future integrations (AI drift calibration, substrate‑mind science, dimensional‑core validators)
These workflows intentionally avoid domain‑specific assumptions so they can run across the entire TriadicFrameworks ecosystem.
🧩 Relationship to TFT_3Pack v1.3#
These workflows complement the tools found in:
/docs/TFT_3Pack_v1.3/scripts/
/docs/TFT_3Pack_v1.3/tft/
/docs/TFT_3Pack_v1.3/examples/
Where TFT_3Pack provides formats, examples, and shell tools, the /workflows/ folder provides programmable engines for:
- Batch processing
- Scroll remixing
- Pipeline execution
- Cross‑language integration (Python ↔ JS)
Together, they form the execution backbone of RTT‑Inside.
🧭 When to Use These Workflows#
Use this folder when you need:
- To run multiple scrolls in sequence
- To generate remix lineages
- To embed scroll execution into a Python or JS project
- To validate
.ffffiles programmatically - To build new tools on top of RTT‑Inside primitives
🗺️ Future Extensions#
Planned additions include:
- Regime‑aware pipeline overlays
- Scroll‑to‑TFT converters
- AI‑drift‑resilient execution wrappers
- Dimensional‑core validators
- Cross‑ontology translators
These will follow the same principles: minimal, portable, remix‑friendly.