"""
core/team_runner.py
Top-level orchestration entry point — Phase 2 stub.

The TeamRunner is responsible for:
  1. Loading config/team.yaml and config/role_registry.yaml.
  2. Instantiating the correct adapter implementations (LLM, VCS, notify, runtime).
  3. Creating a Blackboard for the run.
  4. Constructing the root T1 TaskBrief and dispatching it to the T1 Visionary.
  5. Recursively spawning T2→T5 briefs based on tier outputs.
  6. Using EscalationHandler to manage retries, salvage, and escalation.
  7. Writing final run status and summary to the Blackboard.

TODO (Phase 2):
  - Load and validate team.yaml configuration.
  - Build adapter registry (map adapter keys → concrete adapter classes).
  - Implement tier dispatch loop: T1 → T2 (per workstream) → T3 → T4 → T5.
  - Parse tier JSON outputs into child TaskBrief objects via make_child_brief().
  - Integrate EscalationHandler into the dispatch loop.
  - Support --dry-run flag (log actions without executing).
  - Emit blackboard events at each stage (spawned, completed, failed, etc.).
  - Expose a CLI entry point (argparse or click).
"""
from __future__ import annotations

# TODO (Phase 2): Uncomment and implement imports as adapters are built.
# import argparse
# import yaml
# from core.task_brief import TaskBrief
# from core.blackboard import Blackboard
# from core.escalation import EscalationHandler
# from adapters.llm.anthropic import AnthropicAdapter
# from adapters.vcs.github import GitHubAdapter
# from adapters.notify.openclaw import OpenClawNotifyAdapter
# from adapters.runtime.openclaw import OpenClawRuntimeAdapter
# from adapters.runtime.claude_code import ClaudeCodeRuntimeAdapter


class TeamRunner:
    """
    Orchestrates a full T1→T5 agent pipeline run.

    Usage (Phase 2)::

        runner = TeamRunner(config_path="config/team.yaml")
        runner.run()
    """

    def __init__(self, config_path: str = "config/team.yaml") -> None:
        # TODO (Phase 2): Load YAML config.
        # Instantiate adapters based on config.adapters keys.
        # Create a Blackboard for this run.
        raise NotImplementedError("TeamRunner.__init__ is not yet implemented.")

    def run(self) -> None:
        """
        Execute the full pipeline from T1 decomposition through T5 verification.

        TODO (Phase 2):
          - Build root T1 brief from config.run.goal.
          - Dispatch to T1 Visionary via LLM adapter.
          - Parse workstreams from T1 output.
          - For each workstream: dispatch T2 Architect.
          - For each T2 subtask: dispatch T3 Squad Lead.
          - For each T3 task: dispatch T4 Implementer.
          - For each T4 artifact set: dispatch T5 Verifier.
          - Run escalation handler at each tier on failure.
          - Commit passing artifacts via VCS adapter.
          - Notify on completion or terminal failure via notify adapter.
        """
        raise NotImplementedError("TeamRunner.run is not yet implemented.")

    def _dispatch_brief(self, brief) -> dict:
        """
        Send a single TaskBrief to the appropriate agent and return the result.

        TODO (Phase 2):
          - Select runtime based on brief.preferred_runtime.
          - Load agent personality from brief.agent_personality (if set).
          - Compose prompt from tier system prompt + brief payload.
          - Spawn agent via runtime adapter.
          - Await result via runtime.get_result().
          - Log spawned/completed/failed events to Blackboard.
        """
        raise NotImplementedError("TeamRunner._dispatch_brief is not yet implemented.")


# ---------------------------------------------------------------------------
# CLI entry point (Phase 2)
# ---------------------------------------------------------------------------

# TODO (Phase 2): Implement argparse CLI.
# if __name__ == "__main__":
#     parser = argparse.ArgumentParser(description="Run the-agency pipeline.")
#     parser.add_argument("--config", default="config/team.yaml", help="Path to team.yaml")
#     parser.add_argument("--dry-run", action="store_true", help="Log actions without executing")
#     args = parser.parse_args()
#     runner = TeamRunner(config_path=args.config)
#     runner.run()