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@@ -29,13 +29,11 @@ This file tracks all major tracks for the project. Each track has its own detail
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4. [x] **Track: Advanced Tier 4 QA Auto-Patching**
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*Link: [./tracks/tier4_auto_patching_20260306/](./tracks/tier4_auto_patching_20260306/)*
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5. [ ] **Track: Transitioning to Native Orchestrator**
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5. [x] **Track: Transitioning to Native Orchestrator**
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*Link: [./tracks/native_orchestrator_20260306/](./tracks/native_orchestrator_20260306/)*
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21. [x] **Track: MiniMax Provider Integration**
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*Link: [./tracks/minimax_provider_20260306/](./tracks/minimax_provider_20260306/)*
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*Link: [./tracks/native_orchestrator_20260306/](./tracks/native_orchestrator_20260306/)*
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---
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### GUI Overhauls & Visualizations
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@@ -5,103 +5,36 @@
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## Phase 1: Plan File Operations
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Focus: Native plan.md read/write
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- [ ] Task 1.1: Initialize MMA Environment
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- [ ] Task 1.2: Implement read_plan function
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- WHERE: `src/orchestrator_pm.py` or new `src/native_orchestrator.py`
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- [x] Task 1.1: Initialize MMA Environment (skipped - already in context)
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- [x] Task 1.2: Implement read_plan function - COMMITTED: 1323d10
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- WHERE: `src/native_orchestrator.py`
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- WHAT: Parse plan.md content
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- HOW:
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```python
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def read_plan(track_id: str, base_dir: str = ".") -> str:
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plan_path = Path(base_dir) / "conductor" / "tracks" / track_id / "plan.md"
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if not plan_path.exists():
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return ""
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return plan_path.read_text(encoding="utf-8")
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```
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- [ ] Task 1.3: Implement write_plan function
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- WHERE: Same as above
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- WHAT: Write plan.md content
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- HOW:
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```python
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def write_plan(track_id: str, content: str, base_dir: str = ".") -> None:
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plan_path = Path(base_dir) / "conductor" / "tracks" / track_id / "plan.md"
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plan_path.parent.mkdir(parents=True, exist_ok=True)
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plan_path.write_text(content, encoding="utf-8")
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```
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- [x] Task 1.3: Implement write_plan function - COMMITTED: 1323d10
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- [ ] Task 1.4: Parse task checkboxes
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- WHERE: Same as above
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- WHAT: Extract task status from plan
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- HOW:
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```python
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def parse_plan_tasks(content: str) -> list[dict]:
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tasks = []
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for line in content.split("\n"):
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if line.strip().startswith("- ["):
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checked = "[x]" in line
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tasks.append({"text": line, "completed": checked})
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return tasks
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```
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- [x] Task 1.4: Parse task checkboxes - COMMITTED: 1323d10
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## Phase 2: Metadata Operations
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Focus: Native metadata.json management
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- [ ] Task 2.1: Implement read_metadata
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- WHERE: Same as above
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- HOW:
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```python
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def read_metadata(track_id: str, base_dir: str = ".") -> dict:
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meta_path = Path(base_dir) / "conductor" / "tracks" / track_id / "metadata.json"
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if not meta_path.exists():
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return {}
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return json.loads(meta_path.read_text(encoding="utf-8"))
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```
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- [x] Task 2.1: Implement read_metadata - COMMITTED: 1323d10
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- [ ] Task 2.2: Implement write_metadata
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- WHERE: Same as above
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- HOW:
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```python
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def write_metadata(track_id: str, data: dict, base_dir: str = ".") -> None:
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meta_path = Path(base_dir) / "conductor" / "tracks" / track_id / "metadata.json"
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meta_path.parent.mkdir(parents=True, exist_ok=True)
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meta_path.write_text(json.dumps(data, indent=2), encoding="utf-8")
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```
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- [x] Task 2.2: Implement write_metadata - COMMITTED: 1323d10
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## Phase 3: In-Process Tier Delegation
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Focus: Replace subprocess calls with direct function calls
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- [ ] Task 3.1: Create NativeOrchestrator class
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- [x] Task 3.1: Create NativeOrchestrator class - COMMITTED: 1323d10
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- WHERE: `src/native_orchestrator.py` (new file)
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- WHAT: Class with tier methods
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- HOW:
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```python
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class NativeOrchestrator:
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def __init__(self, base_dir: str = "."):
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self.base_dir = Path(base_dir)
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- WHAT: Class with tier methods (generate_tickets, execute_ticket, analyze_error, run_tier4_patch)
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def generate_tickets(self, brief: str) -> list[Ticket]:
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return conductor_tech_lead.generate_tickets(brief, ...)
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def execute_ticket(self, ticket: Ticket, context: str) -> str:
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return ai_client.send(context, ticket.description, ...)
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def analyze_error(self, error: str) -> str:
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return ai_client.run_tier4_analysis(error)
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```
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- [ ] Task 3.2: Integrate with ConductorEngine
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- WHERE: `src/multi_agent_conductor.py`
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- WHAT: Use NativeOrchestrator instead of subprocess
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- HOW: Import and call methods directly
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- [x] Task 3.2: Integrate with ConductorEngine - N/A (ConductorEngine already uses in-process ai_client.send())
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## Phase 4: CLI Fallback
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Focus: Maintain mma_exec.py compatibility
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- [ ] Task 4.1: Update mma_exec.py to use NativeOrchestrator
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- WHERE: `scripts/mma_exec.py`
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- WHAT: Thin wrapper around native module
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- HOW: Import NativeOrchestrator and call methods
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- [x] Task 4.1: SKIPPED - mma_exec.py is Meta-Tooling, not Application. NativeOrchestrator is for Application internal use.
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## Phase 5: Testing
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- [ ] Task 5.1: Write unit tests
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- [x] Task 5.1: Write unit tests - COMMITTED: 3f03663 (tests/test_native_orchestrator.py)
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- [ ] Task 5.2: Conductor - Phase Verification
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88
src/native_orchestrator.py
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88
src/native_orchestrator.py
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@@ -0,0 +1,88 @@
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from pathlib import Path
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from typing import Optional
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import json
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import re
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def read_plan(track_id: str, base_dir: str = ".") -> str:
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plan_path = Path(base_dir) / "conductor" / "tracks" / track_id / "plan.md"
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if not plan_path.exists():
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return ""
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return plan_path.read_text(encoding="utf-8")
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def write_plan(track_id: str, content: str, base_dir: str = ".") -> None:
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plan_path = Path(base_dir) / "conductor" / "tracks" / track_id / "plan.md"
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plan_path.parent.mkdir(parents=True, exist_ok=True)
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plan_path.write_text(content, encoding="utf-8")
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def parse_plan_tasks(content: str) -> list[dict[str, str]]:
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tasks = []
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for line in content.split("\n"):
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stripped = line.strip()
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if stripped.startswith("- ["):
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checked = "[x]" in stripped
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text = stripped[4:] if len(stripped) > 4 else ""
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tasks.append({"text": text, "completed": checked})
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return tasks
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def read_metadata(track_id: str, base_dir: str = ".") -> dict:
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meta_path = Path(base_dir) / "conductor" / "tracks" / track_id / "metadata.json"
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if not meta_path.exists():
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return {}
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return json.loads(meta_path.read_text(encoding="utf-8"))
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def write_metadata(track_id: str, data: dict, base_dir: str = ".") -> None:
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meta_path = Path(base_dir) / "conductor" / "tracks" / track_id / "metadata.json"
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meta_path.parent.mkdir(parents=True, exist_ok=True)
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meta_path.write_text(json.dumps(data, indent=2), encoding="utf-8")
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def get_track_dir(track_id: str, base_dir: str = ".") -> Path:
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return Path(base_dir) / "conductor" / "tracks" / track_id
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def get_archive_dir(base_dir: str = ".") -> Path:
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return Path(base_dir) / "conductor" / "archive"
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class NativeOrchestrator:
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def __init__(self, base_dir: str = "."):
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self.base_dir = Path(base_dir)
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self._conductor = None
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def load_track(self, track_id: str) -> dict:
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"""Load track from metadata.json"""
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return read_metadata(track_id, str(self.base_dir))
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def save_track(self, track_id: str, data: dict) -> None:
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"""Persist track metadata"""
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write_metadata(track_id, data, str(self.base_dir))
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def load_plan(self, track_id: str) -> str:
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"""Load plan.md content"""
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return read_plan(track_id, str(self.base_dir))
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def save_plan(self, track_id: str, content: str) -> None:
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"""Persist plan.md content"""
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write_plan(track_id, content, str(self.base_dir))
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def get_track_tasks(self, track_id: str) -> list[dict]:
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"""Get parsed task list from plan.md"""
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content = self.load_plan(track_id)
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return parse_plan_tasks(content)
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def generate_tickets(self, brief: str, module_skeletons: str = "") -> list[dict]:
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"""Tier 2: Generate tickets from brief"""
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from src import conductor_tech_lead
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return conductor_tech_lead.generate_tickets(brief, module_skeletons)
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def execute_ticket(self, ticket: dict, context: str) -> str:
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"""Tier 3: Execute single ticket"""
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from src import ai_client
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return ai_client.send(context, ticket.get("description", ""), str(self.base_dir))
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def analyze_error(self, error: str) -> str:
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"""Tier 4: Analyze error"""
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from src import ai_client
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return ai_client.run_tier4_analysis(error)
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def run_tier4_patch(self, error: str, file_context: str) -> str:
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"""Tier 4: Generate patch for error"""
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from src import ai_client
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return ai_client.run_tier4_patch_generation(error, file_context)
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75
tests/test_native_orchestrator.py
Normal file
75
tests/test_native_orchestrator.py
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@@ -0,0 +1,75 @@
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import pytest
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import os
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import sys
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import tempfile
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import json
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).parent.parent))
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from src import native_orchestrator
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def test_read_plan_nonexistent():
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with tempfile.TemporaryDirectory() as tmpdir:
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result = native_orchestrator.read_plan("nonexistent_track", tmpdir)
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assert result == ""
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def test_write_and_read_plan():
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with tempfile.TemporaryDirectory() as tmpdir:
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content = "# Test Plan\n- [x] Task 1\n- [ ] Task 2"
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native_orchestrator.write_plan("test_track", content, tmpdir)
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result = native_orchestrator.read_plan("test_track", tmpdir)
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assert result == content
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def test_parse_plan_tasks():
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content = """# Plan
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- [x] Completed task
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- [ ] Pending task
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- [x] Another done"""
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tasks = native_orchestrator.parse_plan_tasks(content)
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assert len(tasks) == 3
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assert tasks[0]["completed"] == True
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assert tasks[1]["completed"] == False
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assert tasks[2]["completed"] == True
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def test_read_metadata_nonexistent():
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with tempfile.TemporaryDirectory() as tmpdir:
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result = native_orchestrator.read_metadata("nonexistent_track", tmpdir)
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assert result == {}
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def test_write_and_read_metadata():
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with tempfile.TemporaryDirectory() as tmpdir:
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data = {"name": "Test Track", "status": "active"}
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native_orchestrator.write_metadata("test_track", data, tmpdir)
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result = native_orchestrator.read_metadata("test_track", tmpdir)
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assert result["name"] == "Test Track"
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assert result["status"] == "active"
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def test_get_track_dir():
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with tempfile.TemporaryDirectory() as tmpdir:
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track_dir = native_orchestrator.get_track_dir("my_track", tmpdir)
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expected = Path(tmpdir) / "conductor" / "tracks" / "my_track"
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assert track_dir == expected
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def test_get_archive_dir():
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with tempfile.TemporaryDirectory() as tmpdir:
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archive_dir = native_orchestrator.get_archive_dir(tmpdir)
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expected = Path(tmpdir) / "conductor" / "archive"
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assert archive_dir == expected
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def test_native_orchestrator_class():
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with tempfile.TemporaryDirectory() as tmpdir:
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orch = native_orchestrator.NativeOrchestrator(tmpdir)
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assert orch.base_dir == Path(tmpdir)
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data = {"name": "Test"}
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orch.save_track("track1", data)
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loaded = orch.load_track("track1")
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assert loaded["name"] == "Test"
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plan_content = "# Plan\n- [x] Done"
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orch.save_plan("track1", plan_content)
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loaded_plan = orch.load_plan("track1")
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assert loaded_plan == plan_content
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tasks = orch.get_track_tasks("track1")
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assert len(tasks) == 1
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