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docs(mma): Draft Track 2 - State Machine & Data Structures

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Edward R. Gonzalez
2026-02-24 22:18:14 -05:00
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conductor/tracks/mma_implementation_20260224/migration_epics.md
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### 3. Acceptance Testing Criteria ### 3. Acceptance Testing Criteria
- **Unit Tests:** All AST parsing tests pass with >90% coverage for `file_cache.py`. - **Unit Tests:** All AST parsing tests pass with >90% coverage for `file_cache.py`.
- **Integration Test:** Execute the parser on a large, complex project file (e.g., `ai_client.py`). The output `Skeleton View` must be less than 15% of the original token count. The `Curated View` must correctly retain docstrings and marked functions while stripping standard bodies. - **Integration Test:** Execute the parser on a large, complex project file (e.g., `ai_client.py`). The output `Skeleton View` must be less than 15% of the original token count. The `Curated View` must correctly retain docstrings and marked functions while stripping standard bodies.
## Track 2: State Machine & Data Structures
**Goal:** Define the rigid Python objects (Pydantic/Dataclasses) that AI agents will pass to each other, enforcing structured data over loose chat strings.
### 1. TDD Approach for \models.py\
- Create \ ests/test_models.py\.
- Write failing tests that instantiate \Track\, \Ticket\, and \WorkerContext\ with various valid and invalid schemas.
- Write tests that assert state transitions (e.g., from \pending\ to \locked\, from \step_paused\ to \completed\) correctly update internal flags and dependencies.
- **Red Phase:** Tests fail because \models.py\ classes are undefined or lack transition methods.
- **Green Phase:** Implement the dataclasses and state mutators.
### 2. State Machine Tasks
- **Task 2.1: The Dataclasses**
- Create \models.py\. Define \Ticket\ (id, target_file, prompt, worker_archetype, status, dependencies).
- Define \Track\ (id, title, description, status, tickets).
- **Task 2.2: Worker Context Definition**
- Define \WorkerContext\ holding a \Ticket\ ID, assigned model, configuration injection, and an ephemeral \messages\ array.
- **Task 2.3: State Mutator Methods**
- Implement methods like \ icket.mark_blocked(dependency_id)\, \ icket.mark_complete()\, and \ rack.get_executable_tickets()\. Ensure strict validation of valid state transitions.
### 3. Acceptance Testing Criteria
- **Unit Tests:** \models.py\ has 100% test coverage for all state transitions.
- **Integration Test:** Instantiate a \Track\ with 3 dependent \Tickets\ in Python. Programmatically mark tickets as complete and assert that the subsequent dependent tickets transition from \locked\ to \pending\ without any AI involvement.