⚙️ SolumTools — Processing Pipeline (Canonical)
SolumTools operates through a strict, deterministic processing pipeline.
This pipeline defines how data flows, how it is transformed, and why outputs are trustworthy.
There is no inference, no intent interpretation, and no hidden state.
🧭 Purpose
The Processing Pipeline ensures that:
- Every output is traceable to a validated input
- Every transformation is explicit
- Every step can be audited independently
- No step can be skipped or reordered
SolumTools does not “understand”. It processes.
🧱 Pipeline Overview
The pipeline is linear and ordered:
INPUT_CONTRACT ↓ STRUCTURAL VALIDATION ↓ NORMALIZATION ↓ RESOLUTION ↓ PROJECTION ↓ OUTPUT_SCHEMA
Each stage has a single responsibility.
1️⃣ Structural Validation
Goal: Ensure the input matches a known contract.
- Schema validation
- Type validation
- Required fields enforcement
- Rejection of unknown fields
If validation fails:
- Processing stops
- No partial state is produced
No correction is attempted.
2️⃣ Normalization
Goal: Convert valid inputs into a canonical internal form.
Actions:
- Normalize numeric units
- Canonicalize identifiers
- Resolve ordering where applicable
- Remove redundant representations
Normalization does not add information. It only removes ambiguity.
3️⃣ Resolution
Goal: Resolve references using explicit rules.
Examples:
- Wallet → ownership resolution
- Tile → spatial index resolution
- Timestamp → epoch alignment
Resolution:
- Uses only declared data
- Never queries external state implicitly
- Produces explicit resolution artifacts
If resolution fails:
- Processing stops
- No output is generated
4️⃣ Projection
Goal: Transform resolved data into view-specific representations.
Projection:
- Is read-only
- Has no side effects
- Does not modify underlying state
Multiple projections may exist for the same resolved state.
5️⃣ Output Emission
Goal: Produce a final, schema-valid output.
- Output must match exactly one OUTPUT_SCHEMA
- Output contains no implicit assumptions
- Output is deterministic given the same input
Outputs are:
- reproducible
- comparable
- cacheable
- auditable
🚫 Explicit Non-Goals
SolumTools does NOT:
- Infer intent
- Predict behavior
- Modify state autonomously
- Perform probabilistic reasoning
- Merge unrelated inputs
- Fix malformed data
🔍 Auditability Guarantees
For any output, it must be possible to answer:
- Which input contract produced this?
- Which pipeline stages were applied?
- Which rules were used?
- What intermediate representations existed?
If this cannot be answered, the pipeline is broken.
🤖 AI Compatibility
This pipeline is intentionally designed to be:
- Easily parsed by LLMs
- Safe for deterministic replay
- Resistant to hallucination
- Explicit in every transformation
AI systems interacting with SolumTools must:
- Respect pipeline order
- Never bypass validation
- Never invent missing data
📌 Canonical Rule
If a transformation is not described here, it does not exist.
This pipeline is the single source of truth for data processing in SolumTools.