import sys
import json
import subprocess
import os

def main() -> None:
 sys.stderr.write(f"DEBUG: mock_gemini_cli called with args: {sys.argv}\n")
 sys.stderr.write(f"DEBUG: GEMINI_CLI_HOOK_CONTEXT: {os.environ.get('GEMINI_CLI_HOOK_CONTEXT')}\n")
 # Read prompt from stdin
 try:
  prompt = sys.stdin.read()
 except EOFError:
  prompt = ""
 sys.stderr.write(f"DEBUG: Received prompt via stdin ({len(prompt)} chars)\n")
 sys.stderr.flush()
 
 # Skip management commands
 if len(sys.argv) > 1 and sys.argv[1] in ["mcp", "extensions", "skills", "hooks"]:
  return

 # Check for specific simulation contexts
 # Use the full prompt string since context length can vary depending on history or project state
 if 'You are assigned to Ticket' in prompt:
  # This is a Tier 3 worker.
  pass # Let it fall through to the default mock response

 elif 'PATH: Epic Initialization' in prompt:
  mock_response = [
   {"id": "mock-track-1", "type": "Track", "module": "core", "persona": "Tech Lead", "severity": "Medium", "goal": "Mock Goal 1", "acceptance_criteria": ["criteria 1"], "title": "Mock Goal 1"},
   {"id": "mock-track-2", "type": "Track", "module": "ui", "persona": "Frontend Lead", "severity": "Low", "goal": "Mock Goal 2", "acceptance_criteria": ["criteria 2"], "title": "Mock Goal 2"}
  ]
  print(json.dumps({
   "type": "message",
   "role": "assistant",
   "content": json.dumps(mock_response)
  }), flush=True)
  print(json.dumps({
   "type": "result",
   "status": "success",
   "stats": {"total_tokens": 100, "input_tokens": 50, "output_tokens": 50},
   "session_id": "mock-session-epic"
  }), flush=True)
  return

 elif 'PATH: Sprint Planning' in prompt or 'generate the implementation tickets' in prompt:
  mock_response = [
   {"id": "mock-ticket-1", "description": "Mock Ticket 1", "status": "todo", "assigned_to": "worker", "depends_on": []},
   {"id": "mock-ticket-2", "description": "Mock Ticket 2", "status": "todo", "assigned_to": "worker", "depends_on": ["mock-ticket-1"]}
  ]
  print(json.dumps({
   "type": "message",
   "role": "assistant",
   "content": json.dumps(mock_response)
  }), flush=True)
  print(json.dumps({
   "type": "result",
   "status": "success",
   "stats": {"total_tokens": 100, "input_tokens": 50, "output_tokens": 50},
   "session_id": "mock-session-sprint"
  }), flush=True)
  return

 # If the prompt contains tool results, provide final answer
 if '"role": "tool"' in prompt or '"tool_call_id"' in prompt:
  print(json.dumps({
     "type": "message", 
     "role": "assistant",
     "content": "I have processed the tool results and here is the final answer."
    }), flush=True)
  print(json.dumps({
     "type": "result", 
     "status": "success",
     "stats": {"total_tokens": 100, "input_tokens": 80, "output_tokens": 20},
     "session_id": "mock-session-final"
    }), flush=True)
  return
  
 # Default flow: emit a tool call to test multi-round looping
 print(json.dumps({
    "type": "message",
    "role": "assistant",
    "content": "I need to check the directory first."
   }), flush=True)
 print(json.dumps({
    "type": "tool_use",
    "name": "list_directory",
    "id": "mock-call-1",
    "args": {"dir_path": "."}
   }), flush=True)
 print(json.dumps({
    "type": "result",
    "status": "success",
    "stats": {"total_tokens": 10, "input_tokens": 10, "output_tokens": 0},
    "session_id": "mock-session-default"
   }), flush=True)
if __name__ == "__main__":
 main()