Your canonical WRSADC module.json is validated and ready to drop into docs/TFT_3Pack_v1.3/WRSADC/. Here's the structural summary:
Module identity#
| Field | Value |
|---|---|
| canon_tag | wrsadc |
| parent | tft-3pack |
| layer | Core Frameworks — Structural Spine |
| version | 1.3 |
The layer was promoted from the parent's Tools & Infrastructure to Structural Spine — WRSADC is a runtime engine that other tools depend on, not a standalone tool itself.
Structural grammar — key decisions#
- Dimensional envelope narrowed to D3 — WRSADC operates exclusively in triadic micro-phases (three phases per primitive)
- Regime envelope narrowed to R1 — single-context runtime (
tft-3packdefault context string) - Coherence envelope C1–C2 — the event-log ↔ snapshot pair grammar is the coherence contract
- Three triadic operators fully specified with phase arrays and triad-type labels:
- P1: Perceive → Interpret → Orient (Input → Meaning → Position)
- P2: Act → Adjust → Align (Action → Correction → Coherence)
- P3: Reflect → Refine → Reinforce (Mirror → Polish → Lock)
- Core API surfaces documented for both Python (
observe/snapshot/debug_print) and shell (wrsadc_mark/wrsadc_summary)
File coverage#
| Role | Count | Files |
|---|---|---|
| engine | 6 | wrsadc_core.py, wrsadc_shell.sh, TFT_Primitive_{1,2,3}.py, TFT_Primitive_1.sh |
| reference | 2 | Scaffolding.md, TFT_Primitives.md |
| index | 1 | README.md |
| extension | 1 | __init__.py |
Dependency graph#
All four primitive implementations point back to their respective core engine — TFT_Primitive_{1,2,3}.py → wrsadc_core.py and TFT_Primitive_1.sh → wrsadc_shell.sh. Clean directed acyclic graph with no cycles.
{
"$schema": "https://www.triadicframeworks.org/schemas/module.schema.json",
"module": {
"name": "WRSADC",
"path": "docs/TFT_3Pack_v1.3/WRSADC",
"canon_tag": "wrsadc",
"version": "1.3",
"layer": "Core Frameworks — Structural Spine",
"status": "Active, Canonical",
"purpose": "Lightweight resonance-aware dimensional engine providing state tracking, entity observation, structural snapshots, and triadic introspection for TFT_3Pack_v1.3 tools.",
"parent": "tft-3pack",
"url": "https://github.com/umaywant2/TriadicFrameworks/tree/main/docs/TFT_3Pack_v1.3/WRSADC"
},
"session_context": {
"canon": "active (wrsadc ⊂ tft-3pack)",
"modules_linked": [
"wrsadc_core.py ↔ __init__.py ↔ TFT_Primitive_{1,2,3}.py — Python observe/snapshot pipeline",
"wrsadc_shell.sh ↔ TFT_Primitive_1.sh — shell mark/summary pipeline",
"Scaffolding.md ↔ TFT_Primitives.md — architectural rationale ↔ operator specification"
],
"drift": "minimal (deterministic state log)",
"coherence": "stable (event-log + snapshot-pair grammar)",
"format": "python + shell + markdown",
"front_door": "exists (WRSADC/README.md)",
"every_page": "stands alone + student-ready + operator-aware",
"audience": ["students", "educators", "developers", "researchers", "AIs"]
},
"structural_grammar": {
"dimensional_envelope": "D3 (triadic micro-phases)",
"regime_envelope": "R1 (single-context runtime)",
"coherence_envelope": "C1–C2 (event-log ↔ snapshot pair)",
"drift_sensitivity": "low",
"regime_sensitivity": "low",
"triadic_operators": {
"primitive_1": {
"label": "Perceive → Interpret → Orient",
"role": "Foundational awareness — raw input becomes patterned position",
"phases": ["perceive", "interpret", "orient"],
"triad_type": "Input → Meaning → Position"
},
"primitive_2": {
"label": "Act → Adjust → Align",
"role": "Behavioral arc — position becomes calibrated action",
"phases": ["act", "adjust", "align"],
"triad_type": "Action → Correction → Coherence"
},
"primitive_3": {
"label": "Reflect → Refine → Reinforce",
"role": "Consolidation loop — action becomes durable learning",
"phases": ["reflect", "refine", "reinforce"],
"triad_type": "Mirror → Polish → Lock"
}
},
"core_api": {
"python": {
"class": "WRSADC",
"dataclasses": ["WRSADCEvent", "WRSADCSnapshot"],
"methods": ["observe(dimension, entity, state, meta?)", "snapshot()", "debug_print()"]
},
"shell": {
"functions": ["wrsadc_init(context?)", "wrsadc_mark(dimension, entity, state)", "wrsadc_summary()"],
"log_format": "ISO8601|context|dimension|entity|state"
}
}
},
"cross_module_propagation": {
"imports": [
"tft-3pack (parent module — dimensional envelope, audience, canon context)",
"rtt-core (resonance-aware structural grammar, dimensional tracking concepts)"
],
"exports": [
"WRSADC class (Python dimensional engine)",
"wrsadc_shell.sh (shell logging adapter)",
"observe/snapshot API pattern",
"WRSADCEvent/WRSADCSnapshot data structures",
"triadic primitive implementations (P1 + P2 + P3)",
"triadic micro-phase grammar (perceive/interpret/orient, act/adjust/align, reflect/refine/reinforce)"
]
},
"submodules": [],
"files": [
{
"filename": "README.md",
"path": "README.md",
"purpose": "Module front door — AI-Ready badge, purpose statement, two-implementation overview (Python core + shell logger), integration summary.",
"role": "index"
},
{
"filename": "Scaffolding.md",
"path": "Scaffolding.md",
"purpose": "Architectural rationale document — explains why WRSADC belongs in TFT_3Pack, defines insertion point in repo tree, specifies minimal feature set (dimensional tracking, state transitions, structural snapshots, debug introspection).",
"role": "reference",
"analyzer_layer": "dimensional"
},
{
"filename": "TFT_Primitives.md",
"path": "TFT_Primitives.md",
"purpose": "Full specification of all three triadic primitives with WRSADC integration — Python and shell examples, micro-phase definitions, structural pairing rationale (perceive↔record, interpret↔map, orient↔summarize).",
"role": "reference",
"analyzer_layer": "operator"
},
{
"filename": "__init__.py",
"path": "__init__.py",
"purpose": "Python package initializer — imports WRSADC class from wrsadc_core and exports it as the public API surface.",
"role": "extension",
"analyzer_layer": "coherence"
},
{
"filename": "wrsadc_core.py",
"path": "wrsadc_core.py",
"purpose": "Core dimensional engine — WRSADCEvent and WRSADCSnapshot dataclasses, WRSADC class with observe() for state logging, snapshot() for structural summaries, debug_print() for triadic introspection.",
"role": "engine",
"analyzer_layer": "dimensional"
},
{
"filename": "wrsadc_shell.sh",
"path": "wrsadc_shell.sh",
"purpose": "Shell adapter — wrsadc_init() sets context, wrsadc_mark() appends timestamped events to log file, wrsadc_summary() aggregates dimensions and states from log.",
"role": "engine",
"analyzer_layer": "dimensional"
},
{
"filename": "TFT_Primitive_1.py",
"path": "TFT_Primitive_1.py",
"purpose": "Python implementation of Primitive 1 (Perceive → Interpret → Orient) with WRSADC observe() hooks at each micro-phase transition.",
"role": "engine",
"analyzer_layer": "operator",
"depends_on": ["wrsadc_core.py"]
},
{
"filename": "TFT_Primitive_1.sh",
"path": "TFT_Primitive_1.sh",
"purpose": "Shell implementation of Primitive 1 (Perceive → Interpret → Orient) sourcing wrsadc_shell.sh and calling wrsadc_mark at each micro-phase.",
"role": "engine",
"analyzer_layer": "operator",
"depends_on": ["wrsadc_shell.sh"]
},
{
"filename": "TFT_Primitive_2.py",
"path": "TFT_Primitive_2.py",
"purpose": "Python implementation of Primitive 2 (Act → Adjust → Align) — behavioral arc with WRSADC observe() hooks.",
"role": "engine",
"analyzer_layer": "operator",
"depends_on": ["wrsadc_core.py"]
},
{
"filename": "TFT_Primitive_3.py",
"path": "TFT_Primitive_3.py",
"purpose": "Python implementation of Primitive 3 (Reflect → Refine → Reinforce) — consolidation loop with WRSADC observe() hooks.",
"role": "engine",
"analyzer_layer": "operator",
"depends_on": ["wrsadc_core.py"]
}
]
}