End-to-End System Map, Test Audit, and Impact Analysis

1) End-to-End System Map (multi-dimensional)

A. Data / Model Lifecycle Dimension

1. Data sources (Notion exports, HF datasets, S3) feed training configs.
2. Provider-specialized training runs per cloud:
   • HF for text adapters,
   • GCP for embeddings,
   • AWS for runtime-distilled artifacts.
3. Federation step (training/federated_orchestrator.py) applies promotion gates and emits one fused manifest.
4. Nodal network ingestion consumes fused manifest as the promoted release descriptor.

B. Security / Governance Dimension

1. Cryptographic and governance modules define enforcement surfaces.
2. Promotion gates (quality/safety/latency/cost) act as release controls.
3. Manifest-driven releases improve provenance and rollback readiness.

C. Operations / Delivery Dimension

1. run_tests.py drives tiered pytest execution.
2. Preflight compile checks catch syntax breakage before expensive test collection.
3. Marker-based tiering enables lane-specific CI (homebrew/professional/enterprise/integration).

D. Product / User Dimension

1. Internal team uses manifests and test lanes to ship model upgrades safely.
2. External pilot users consume unified model behavior through a single promoted release.

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2) Why some tests pass today

Recent additions pass because they are targeted, local, and dependency-light:

• tests/test_federated_orchestrator.py runs only orchestrator CLI behavior using temporary manifests.
• It does not depend on optional packages (e.g., Hypothesis) or heavy crypto modules that currently fail collection.

This is good for confidence in the new federation path, but it does not imply the entire monorepo is healthy.

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3) What the end-to-end audit found

From running python run_tests.py integration --fast:

• Pytest collection was interrupted with multiple errors.
• Main classes of failure:
  1. Missing optional deps (hypothesis not installed).
  2. Syntax-level import failures in some crypto/AI modules (collection-time errors).
  3. Collection warnings for test classes with custom __init__ (not collected as tests).

Interpretation:

• You have healthy islands of tests, but the full integration lane is currently blocked by collection hygiene and dependency stratification.

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4) Efficiency plan: fewer tests, higher confidence

A. Group tests by release risk, not by raw count

• Gate 0 (preflight): syntax compile of critical modules.
• Gate 1 (fast confidence): deterministic unit/smoke tests (no external deps).
• Gate 2 (integration): provider orchestration + core governance integration.
• Gate 3 (extended): property/perf/enterprise suites on scheduled or pre-release runs.

B. Keep one canonical “release lane”

A small, stable release lane should include:

• kernel manifest checks,
• federated orchestrator tests,
• one core governance/crypto integration path,
• API health contract tests.

C. Reduce redundancy

• Consolidate near-duplicate mathematical/property tests into parameterized suites.
• Mark exploratory/stress tests as slow + schedule nightly.
• Convert brittle broad integration collections into explicit file-lists for release gating.

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5) Immediate improvements implemented

1. Fixed marker expression composition in run_tests.py so --fast no longer risks overriding tier selection with a second -m flag.
2. Added --preflight mode to compile key training scripts before pytest to fail fast on syntax issues.

These changes make test execution behavior more deterministic and operationally useful.

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6) Impact of the system and who will care

Impact

• Technical impact: safer, auditable multi-cloud model promotion via manifest gates.
• Operational impact: lower release risk and faster diagnosis of breakages.
• Business impact: stronger pilot credibility (you can prove how model updates are promoted and controlled).

Who cares enough to engage

1. Enterprise AI governance / risk teams
   • Need auditable model promotion and safety gates.
2. Security engineering leaders
   • Care about provenance, rollback, and policy-bound releases.
3. MLOps/platform teams
   • Need deterministic CI lanes and multi-cloud artifact orchestration.
4. Innovation labs / pilot buyers
   • Need measurable value with low integration risk.

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7) Next 3 actions (recommended)

1. Add CI workflow with three required lanes:
   • preflight, fast, federation-integration.
2. Create explicit dependency groups:
   • core, property, enterprise.
3. Define and enforce a “release lane” test manifest (small, stable, must-pass).