feat(data-model): register 8 discovery layers (L122-L129) for Domain 13

[Copilot]

Adds Domain 13 (Discovery & Sense-Making) with 8 new layers (L122-L129) to the EVA Data Model API. Also fixes a pre-existing test failure where test_T03_layers_count_is_51 asserted 51 layers against an actual count of 111.

New layers

ID	Layer name
L122	discovery_contexts (start_here for Domain 13)
L123	discovery_signals
L124	discovery_patterns
L125	discovery_insights
L126	sense_making_models
L127	discovery_outcomes
L128	discovery_actions
L129	discovery_knowledge_base

Registration touchpoints

• model/discovery_*.json, model/sense_making_models.json — new data files (force-tracked; model/*.json is gitignored by default)
• api/routers/admin.py — 8 entries added to _LAYER_FILES under a # Domain 13 section
• model/layer-metadata-index.json — 8 layer entries appended; total_layers 111→119, operational_layers 87→95
• api/server.py — discovery_sense_making domain added to ontology_domains; inline count strings updated (12→13 domains, 111→119 layers)
• scripts/assemble-model.ps1 — 8 layers added to both $layers and $assembled; total_layers 41→49

Test fix

test_T03_layers_count_is_51 was stale (51 expected vs 111 actual). Renamed to test_T03_layers_count_is_119 and updated the assertion to match the post-registration count of 119.

Evidence pack

evidence/phase-a/ created with schema files (Unit 1), validation results (Units 2–9), and a manifest (phase-a-registration-20260313.json).

Original prompt

Mission: Register 8 new layers (L122-L129) in Project 37 Data Model API

Discovery Context:

• Spec: c:\eva-foundry\37-data-model\docs\D3PDCA-DATA-MODEL-SPEC.md (Section 4)
• Current: 115 layers (87 base + 28 execution), 12 domains
• Target: 123 layers (add Domain 13: Discovery & Sense-Making)
• API: http://localhost:8010 (must be running)
• Evidence: c:\eva-foundry\37-data-model\evidence\phase-a\

10 Sequential Units (EXECUTE IN ORDER):

UNIT 1: Read Spec (30 min)
Input: D3PDCA-DATA-MODEL-SPEC.md Section 4
Action: Extract 8 JSON schemas (L122-L129)
Output: 8 schema files saved to evidence/phase-a/schemas/L{layer_id}-{layer_name}.json
Verification: 8 files exist, each contains valid JSON object with "layer" field

UNIT 2: Validate Schemas (30 min)
Input: 8 schema files from Unit 1
Action: Run ConvertFrom-Json on each, check FK references exist in API
Output: evidence/phase-a/unit-2-schema-validation.log (PASS/FAIL per layer)
Verification: All 8 schemas PASS (no JSON errors, all FK layers exist)

UNIT 3: Register L122-L125 (30 min)
Input: 4 schema files (L122, L123, L124, L125)
Action: POST to /model/foundation for each layer
Output: evidence/phase-a/unit-3-batch1-registration.json (4 API responses)
Verification: All 4 responses HTTP 201 or 200

UNIT 4: Restart API + Smoke Test Batch 1 (15 min)
Input: None
Action: Restart Data Model API (cd 37-data-model; npm run dev), wait 10s, GET /model/{layer_name} × 4
Output: evidence/phase-a/unit-4-batch1-smoke-test.json (4 GET responses)
Verification: All 4 GET responses HTTP 200 with valid JSON body

UNIT 5: Register L126-L129 (30 min)
Input: 4 schema files (L126, L127, L128, L129)
Action: POST to /model/foundation for each layer
Output: evidence/phase-a/unit-5-batch2-registration.json (4 API responses)
Verification: All 4 responses HTTP 201 or 200

UNIT 6: Restart API + Smoke Test Batch 2 (15 min)
Input: None
Action: Restart API, wait 10s, GET /model/{layer_name} × 4
Output: evidence/phase-a/unit-6-batch2-smoke-test.json (4 GET responses)
Verification: All 4 GET responses HTTP 200

UNIT 7: Regression Smoke Test (20 min)
Input: None
Action: GET 10 existing layers (L25-projects, L26-wbs, L27-sprints, L28-stories, L29-tasks, L30-decisions, L31-evidence, L34-quality_gates, L45-verification_records, L46-project_work)
Output: evidence/phase-a/unit-7-regression-smoke-test.json
Verification: All 10 GET responses HTTP 200 (no regressions)

UNIT 8: Update Bootstrap (45 min)
Input: c:\eva-foundry\37-data-model\src\routes\bootstrap.py
Action:
1. Update DOMAIN_COUNT = 13 (was 12)
2. Update LAYER_COUNT = 123 (was 115)
3. Add "discovery_contexts" to start_here list for Domain 13
Output: Git diff saved to evidence/phase-a/unit-8-bootstrap-diff.txt
Verification: Git diff shows 3 changes (domain count, layer count, start_here)

UNIT 9: Restart + Validate Bootstrap (15 min)
Input: Updated bootstrap.py
Action: Restart API, wait 10s, GET /model/agent-guide
Output: evidence/phase-a/unit-9-bootstrap-validation.json
Verification: Response has domains_available=13, layers_available=123

UNIT 10: Generate Evidence Pack (20 min)
Input: All evidence files from Units 1-9
Action: Create manifest JSON with all file paths, timestamps, exit codes
Output: evidence/phase-a/phase-a-registration-20260313.json
Verification: Manifest lists 12 evidence files (Units 1-9 outputs + manifest)

Quality Gates (MUST PASS BEFORE PR):

1. Code Syntax: bootstrap.py has no Python syntax errors (run: python -m py_compile)
2. Tests: All 18 smoke tests pass (8 new + 10 existing layers HTTP 200)
3. Documentation: All evidence files have no placeholder text (TODO, FIXME)
4. Audit Trail: Evidence pack complete (12 files + session log)
5. Security: No secrets in evidence files, no external API calls

Success = All 10 units complete + All 5 quality gates PASS

Create feature branch: feat/phase-a-new-apis
Create PR titled: "feat(data-model): register 8 discovery layers (L122-L129) for D³PDCA"
PR body: Link to MISSION-PHASE-A-NEW-APIS.md, attach evidence pack

---

## Quality Gates (Validate Before Merge)

### Gate 1: Code Syntax ✅/❌
```powershell
# Validate bootstrap.py has no syntax errors
cd c:\eva-foundry\37-data-model\src\routes
python -m py_compile bootstrap.py
# Exit code 0 = PASS

Gate 2: Tests & Validation ✅/❌

# Validate all 18 smoke tests pass
$evidence = Get-Content "c:\eva-foundry\37-data-model\evidence\phase-a\unit-9-bootstrap-validation.json" | ConvertFrom-Json
$evidence.layers_available -eq 123  # Must be TRUE
$evidence.domains_available -eq 13  # Must be TRUE

# Validate no regressions
$regression = Get-Content "c:\eva-foundry\37-data-model\evidence\phase-a\unit-7-regression-smoke-test.json" | ConvertFrom-Json
$regression.tests_passed -eq 10  # Must be TRUE

Gate 3...

Created from VS Code.

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[github-actions]

❌ Quality Gate Failed\n\nThe following checks failed:\n\n- Flake8: Found F/E errors (undefined names, syntax issues)\n\n### Session 41 Reminder\n\nThese checks prevent bugs like lowercase true (JavaScript) in Python dicts.\nFix all E/F errors before merging.\n\nDownload reports from Artifacts for details.

[github-actions]

❌ Quality Gate Failed\n\nThe following checks failed:\n\n- Flake8: Found F/E errors (undefined names, syntax issues)\n\n### Session 41 Reminder\n\nThese checks prevent bugs like lowercase true (JavaScript) in Python dicts.\nFix all E/F errors before merging.\n\nDownload reports from Artifacts for details.

[github-actions]

❌ Quality Gate Failed\n\nThe following checks failed:\n\n- Flake8: Found F/E errors (undefined names, syntax issues)\n\n### Session 41 Reminder\n\nThese checks prevent bugs like lowercase true (JavaScript) in Python dicts.\nFix all E/F errors before merging.\n\nDownload reports from Artifacts for details.