OrcaFlex Model Sanitization Skill

Description

Sanitize OrcaFlex models from client projects by stripping identifiable references (project names, vessel names, operator codes, user/machine metadata), converting binary .dat to YAML .yml, deduplicating, and organizing into the reference model library.

When to Use

• Importing OrcaFlex models from external/client sources
• Converting .dat (binary) to .yml (YAML) format
• Stripping client-identifiable references before committing
• Organizing models into the docs/modules/orcaflex/ library structure
• Deduplicating model collections (hash-based)

Sanitization Pipeline

Overview

Source .dat/.yml → Dedup → Convert → Sanitize Text → Strip Metadata → Organize → Legal Scan → Extract Spec

Step 1: Inventory & Dedup

• Walk source directory for .dat and .yml files
• Compute SHA-256 hash for each file
• Skip files with identical content (keep first occurrence)
• Exclude: oversized files (>50MB), non-model files (CAD, reports, scripts)

Step 2: Format Conversion (.dat → .yml)

import OrcFxAPI
model = OrcFxAPI.Model(str(dat_path))
model.SaveData(str(output_yml_path))

Gotchas:

• SaveData() embeds User:, Machine:, File: metadata in YAML header
• SaveData() exports ALL properties including dormant ones
• Binary .dat files may reference external DLLs or data files
• Large models (>50MB) may timeout — skip and log

Step 3: Text-Based Sanitization

Apply regex replacements using a mapping table:

SANITIZATION_MAP = {
    "ClientProject": "generic_project_a",
    "VesselName": "installation_vessel_01",
    # ... sorted by key length descending to avoid partial matches
}

# Sort keys longest-first
sorted_keys = sorted(SANITIZATION_MAP.keys(), key=len, reverse=True)

text = Path(yml_file).read_text(encoding="utf-8", errors="replace")
for key in sorted_keys:
    replacement = SANITIZATION_MAP[key]
    text = text.replace(key, replacement)

Critical: Sort by length descending — prevents "Seven Arctic" from being partially matched by "Seven".

Step 4: Strip OrcaFlex Metadata

Remove embedded user/machine/file path lines:

import re
# Remove User/Machine/File header lines
text = re.sub(r"^User:.*$", "", text, flags=re.MULTILINE)
text = re.sub(r"^Machine:.*$", "", text, flags=re.MULTILINE)
text = re.sub(r"^File:.*$", "", text, flags=re.MULTILINE)
# Clean up resulting blank lines
text = re.sub(r"\n{3,}", "\n\n", text)

Step 5: Organize into Library

Target structure:

docs/modules/orcaflex/<category>/
├── <subcategory>/
│   ├── monolithic/        # Sanitized original YAML
│   │   ├── model_SZ.yml
│   │   └── model_DZ.yml
│   └── spec.yml           # Extracted spec for modular builder

Categories: jumper/, installation/, mooring/, training/, regional/, vessel_raos/

Step 6: Legal Scan Gate

bash scripts/legal/legal-sanity-scan.sh --repo=digitalmodel
# Must exit 0 before proceeding to spec extraction

Step 7: Extract Spec

Only after legal scan passes:

from digitalmodel.solvers.orcaflex.modular_generator.extractor import MonolithicExtractor
extractor = MonolithicExtractor(Path("monolithic/model.yml"))
spec_dict = extractor.extract()

Sanitization Mapping Best Practices

Pattern Categories

Rules

1. Longest match first — sort replacement keys by length descending
2. Case variants — include both original case and common variants (CamelCase, snake_case, lowercase)
3. Empty replacements — for user/machine IDs, replace with empty string and clean up artifacts
4. Audit trail — log every transformation to sanitization_audit.json

Deny List Integration

The sanitization mapping should be mirrored in .legal-deny-list.yaml:

• Every key in SANITIZATION_MAP → pattern in deny list with severity: block
• The sanitization script itself is excluded from scanning

Commands

Run sanitization

uv run python scripts/sanitize_s7_models.py \
  --s7-root D:/workspace-hub/rock-oil-field/s7 \
  --output-root docs/modules/orcaflex \
  --dry-run  # Preview first

Run without OrcFxAPI (.yml only)

uv run python scripts/sanitize_s7_models.py \
  --s7-root D:/workspace-hub/rock-oil-field/s7 \
  --output-root docs/modules/orcaflex \
  --skip-dat

Verify sanitization

# Check no client references remain
grep -ri "ClientProject\|VesselName" docs/modules/orcaflex/

# Run legal scan
bash scripts/legal/legal-sanity-scan.sh --repo=digitalmodel

Audit Output

The sanitization script generates sanitization_audit.json:

{
  "timestamp": "2026-02-11T10:00:00",
  "source_root": "D:/workspace-hub/rock-oil-field/s7",
  "files_processed": 180,
  "files_skipped_dedup": 45,
  "files_skipped_excluded": 12,
  "files_failed": 3,
  "categories": {
    "jumper": 15,
    "installation": 80,
    "mooring": 10
  },
  "transformations": [
    {
      "source": "s7/ballymore/Jumper_Manifold to PLET/SZ.yml",
      "target": "docs/modules/orcaflex/jumper/manifold_to_plet/monolithic/SZ.yml",
      "hash": "sha256:abc123...",
      "replacements": ["Ballymore→deepwater_field_a", "Candies→installation_vessel_01"],
      "size_bytes": 245000
    }
  ]
}

Related Skills

• /legal-sanity-scan — Legal compliance scanning
• /orcaflex-file-conversion — Format conversion (.dat ↔ .yml)
• /orcaflex-monolithic-to-modular — Monolithic → modular conversion
• /orcaflex-jumper-analysis — Jumper-specific modelling concepts
• /orcaflex-model-generator — Modular generation from spec.yml