checkpoint

conductor/tracks.md

@@ -20,8 +20,8 @@ This file tracks all major tracks for the project. Each track has its own detail
 
 ---
 
-- [ ] **Track: Update ./docs/* & ./Readme.md, review ./MainContext.md significance (should we keep it..).**
-*Link: [./tracks/documentation_refresh_20260224/](./tracks/documentation_refresh_20260224/)*
+- [~] **Track: MMA Orchestrator Integration**
+*Link: [./tracks/mma_orchestrator_integration_20260226/](./tracks/mma_orchestrator_integration_20260226/)*
 
 ---
 

orchestrator_pm.py

@@ -0,0 +1,65 @@
+
+import json
+import ai_client
+import mma_prompts
+import aggregate
+import summarize
+from pathlib import Path
+
+def generate_tracks(user_request: str, project_config: dict, file_items: list[dict]) -> list[dict]:
+    """
+    Tier 1 (Strategic PM) call. 
+    Analyzes the project state and user request to generate a list of Tracks.
+    """
+    # 1. Build Repository Map (Summary View)
+    repo_map = summarize.build_summary_markdown(file_items)
+    
+    # 2. Construct Prompt
+    system_prompt = mma_prompts.PROMPTS.get("tier1_epic_init")
+    user_message = (
+        f"### USER REQUEST:
+{user_request}
+
+"
+        f"### REPOSITORY MAP:
+{repo_map}
+
+"
+        "Please generate the implementation tracks for this request."
+    )
+    
+    # 3. Call Tier 1 Model (Strategic - Pro)
+    # Note: We use gemini-1.5-pro or similar high-reasoning model for Tier 1
+    response = ai_client.send(
+        md_content="", # We pass everything in user_message for clarity
+        user_message=user_message,
+        system_prompt=system_prompt,
+        model_name="gemini-1.5-pro" # Strategic Tier
+    )
+    
+    # 4. Parse JSON Output
+    try:
+        # The prompt asks for a JSON array. We need to extract it if the AI added markdown blocks.
+        json_match = response.strip()
+        if "```json" in json_match:
+            json_match = json_match.split("```json")[1].split("```")[0].strip()
+        elif "```" in json_match:
+            json_match = json_match.split("```")[1].split("```")[0].strip()
+            
+        tracks = json.loads(json_match)
+        return tracks
+    except Exception as e:
+        print(f"Error parsing Tier 1 response: {e}")
+        print(f"Raw response: {response}")
+        return []
+
+if __name__ == "__main__":
+    # Quick CLI test
+    import project_manager
+    proj = project_manager.load_project("manual_slop.toml")
+    flat = project_manager.flat_config(proj)
+    file_items = aggregate.build_file_items(Path("."), flat.get("files", {}).get("paths", []))
+    
+    print("Testing Tier 1 Track Generation...")
+    tracks = generate_tracks("Implement a basic unit test for the ai_client.py module.", flat, file_items)
+    print(json.dumps(tracks, indent=2))

tests/temp_project_history.toml

@@ -17,5 +17,5 @@ history = [
 
 [discussions."mma_human veriffication"]
 git_commit = ""
-last_updated = "2026-02-26T22:02:01"
+last_updated = "2026-02-26T22:06:01"
 history = []