import argparse
import subprocess
import os
import ast
import datetime
import re
import tomllib
import tree_sitter
import tree_sitter_python

LOG_FILE: str = 'logs/claude_mma_delegation.log'

MODEL_MAP: dict[str, str] = {
 'tier1-orchestrator': 'claude-opus-4-6',
 'tier1':              'claude-opus-4-6',
 'tier2-tech-lead':    'claude-sonnet-4-6',
 'tier2':              'claude-sonnet-4-6',
 'tier3-worker':       'claude-sonnet-4-6',
 'tier3':              'claude-sonnet-4-6',
 'tier4-qa':           'claude-haiku-4-5',
 'tier4':              'claude-haiku-4-5',
}

def generate_skeleton(code: str) -> str:
 """
    Parses Python code and replaces function/method bodies with '...',
    preserving docstrings if present.
    """
 try:
  PY_LANGUAGE = tree_sitter.Language(tree_sitter_python.language())
  parser = tree_sitter.Parser(PY_LANGUAGE)
  tree = parser.parse(bytes(code, "utf8"))
  edits = []

  def is_docstring(node):
   if node.type == "expression_statement" and node.child_count > 0:
    if node.children[0].type == "string":
     return True
   return False

  def walk(node):
   if node.type == "function_definition":
    body = node.child_by_field_name("body")
    if body and body.type == "block":
     indent = " " * body.start_point.column
     first_stmt = None
     for child in body.children:
      if child.type != "comment":
       first_stmt = child
       break
     if first_stmt and is_docstring(first_stmt):
      start_byte = first_stmt.end_byte
      end_byte = body.end_byte
      if end_byte > start_byte:
       edits.append((start_byte, end_byte, f"\n{indent}..."))
     else:
      start_byte = body.start_byte
      end_byte = body.end_byte
      edits.append((start_byte, end_byte, "..."))
   for child in node.children:
    walk(child)
  walk(tree.root_node)
  edits.sort(key=lambda x: x[0], reverse=True)
  code_bytes = bytearray(code, "utf8")
  for start, end, replacement in edits:
   code_bytes[start:end] = bytes(replacement, "utf8")
  return code_bytes.decode("utf8")
 except Exception as e:
  return f"# Error generating skeleton: {e}\n{code}"

def get_model_for_role(role: str) -> str:
 """Returns the Claude model to use for a given tier role."""
 return MODEL_MAP.get(role, 'claude-haiku-4-5')

def get_role_documents(role: str) -> list[str]:
 if role in ('tier1-orchestrator', 'tier1'):
  return ['conductor/product.md', 'conductor/product-guidelines.md']
 elif role in ('tier2-tech-lead', 'tier2'):
  return ['conductor/tech-stack.md', 'conductor/workflow.md']
 elif role in ('tier3-worker', 'tier3'):
  return ['conductor/workflow.md']
 return []

def log_delegation(role: str, full_prompt: str, result: str | None = None, summary_prompt: str | None = None) -> str:
 os.makedirs('logs/claude_agents', exist_ok=True)
 timestamp = datetime.datetime.now().strftime('%Y%m%d_%H%M%S')
 log_file = f'logs/claude_agents/claude_{role}_task_{timestamp}.log'
 with open(log_file, 'w', encoding='utf-8') as f:
  f.write("==================================================\n")
  f.write(f"ROLE: {role}\n")
  f.write(f"TIMESTAMP: {datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n")
  f.write("--------------------------------------------------\n")
  f.write(f"FULL PROMPT:\n{full_prompt}\n")
  f.write("--------------------------------------------------\n")
  if result:
   f.write(f"RESULT:\n{result}\n")
  f.write("==================================================\n")
 os.makedirs(os.path.dirname(LOG_FILE), exist_ok=True)
 display_prompt = summary_prompt if summary_prompt else full_prompt
 with open(LOG_FILE, 'a', encoding='utf-8') as f:
  f.write(f"[{datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')}] {role}: {display_prompt[:100]}... (Log: {log_file})\n")
 return log_file

def get_dependencies(filepath: str) -> list[str]:
 """Identify top-level module imports from a Python file."""
 try:
  with open(filepath, 'r', encoding='utf-8') as f:
   tree = ast.parse(f.read())
  dependencies = []
  for node in tree.body:
   if isinstance(node, ast.Import):
    for alias in node.names:
     dependencies.append(alias.name.split('.')[0])
   elif isinstance(node, ast.ImportFrom):
    if node.module:
     dependencies.append(node.module.split('.')[0])
  seen = set()
  result = []
  for d in dependencies:
   if d not in seen:
    result.append(d)
    seen.add(d)
  return result
 except Exception as e:
  print(f"Error getting dependencies for {filepath}: {e}")
  return []

def execute_agent(role: str, prompt: str, docs: list[str], timeout: int | None = None) -> str:
 model = get_model_for_role(role)
 # Advanced Context: Dependency skeletons for Tier 3
 injected_context = ""
 UNFETTERED_MODULES: list[str] = ['mcp_client', 'project_manager', 'events', 'aggregate']
 if role in ['tier3', 'tier3-worker']:
  for doc in docs:
   if doc.endswith('.py') and os.path.exists(doc):
    deps = get_dependencies(doc)
    for dep in deps:
     dep_file = f"{dep}.py"
     if dep_file in docs:
      continue
     if os.path.exists(dep_file) and dep_file != doc:
      try:
       if dep in UNFETTERED_MODULES:
        with open(dep_file, 'r', encoding='utf-8') as f:
         full_content = f.read()
        injected_context += f"\n\nFULL MODULE CONTEXT: {dep_file}\n{full_content}\n"
       else:
        with open(dep_file, 'r', encoding='utf-8') as f:
         skeleton = generate_skeleton(f.read())
        injected_context += f"\n\nDEPENDENCY SKELETON: {dep_file}\n{skeleton}\n"
      except Exception as e:
       print(f"Error gathering context for {dep_file}: {e}")
    if len(injected_context) > 15000:
     injected_context = injected_context[:15000] + "... [TRUNCATED FOR COMMAND LINE LIMITS]"
     # MMA Protocol: Tier 3 and 4 are stateless. Build system directive.
 if role in ['tier3', 'tier3-worker']:
  system_directive = (
   "STRICT SYSTEM DIRECTIVE: You are a stateless Tier 3 Worker (Contributor). "
   "Your goal is to implement specific code changes or tests based on the provided task. "
   "You have access to tools for reading and writing files (Read, Write, Edit), "
   "codebase investigation (Glob, Grep), "
   "version control (Bash git commands), and web tools (WebFetch, WebSearch). "
   "You CAN execute PowerShell scripts via Bash for verification and testing. "
   "Follow TDD and return success status or code changes. No pleasantries, no conversational filler."
  )
 elif role in ['tier4', 'tier4-qa']:
  system_directive = (
   "STRICT SYSTEM DIRECTIVE: You are a stateless Tier 4 QA Agent. "
   "Your goal is to analyze errors, summarize logs, or verify tests. "
   "You have access to tools for reading files and exploring the codebase (Read, Glob, Grep). "
   "You CAN execute PowerShell scripts via Bash (read-only) for diagnostics. "
   "ONLY output the requested analysis. No pleasantries."
  )
 else:
  system_directive = (
   f"STRICT SYSTEM DIRECTIVE: You are a stateless {role}. "
   "ONLY output the requested text. No pleasantries."
  )
 command_text = f"{system_directive}\n\n{injected_context}\n\n"
 # Inline documents to ensure sub-agent has context in headless mode
 for doc in docs:
  if os.path.exists(doc):
   try:
    with open(doc, 'r', encoding='utf-8') as f:
     content = f.read()
    command_text += f"\n\nFILE CONTENT: {doc}\n{content}\n"
   except Exception as e:
    print(f"Error inlining {doc}: {e}")
 command_text += f"\n\nTASK: {prompt}\n\n"
 # Spawn claude CLI non-interactively via PowerShell
 ps_command = f"claude --model {model} --print --dangerously-skip-permissions"
 cmd = ['powershell.exe', '-NoProfile', '-Command', ps_command]
 try:
  env = os.environ.copy()
  env['CLAUDE_CLI_HOOK_CONTEXT'] = 'mma_headless'
  env.pop('ANTHROPIC_API_KEY', None)  # Force CLI to use subscription login, not API key
  process = subprocess.run(
   cmd,
   input=command_text,
   capture_output=True,
   text=True,
   encoding='utf-8',
   env=env,
   timeout=timeout,
   creationflags=subprocess.CREATE_NO_WINDOW if hasattr(subprocess, 'CREATE_NO_WINDOW') else 0,
  )
  # claude --print outputs plain text — no JSON parsing needed
  result = process.stdout if process.stdout else f"Error: {process.stderr}"
  log_file = log_delegation(role, command_text, result, summary_prompt=prompt)
  print(f"Sub-agent log created: {log_file}")
  return result
 except subprocess.TimeoutExpired:
  err_msg = f"Execution timed out after {timeout}s"
  log_delegation(role, command_text, err_msg)
  return err_msg
 except Exception as e:
  err_msg = f"Execution failed: {str(e)}"
  log_delegation(role, command_text, err_msg)
  return err_msg

def create_parser() -> argparse.ArgumentParser:
 parser = argparse.ArgumentParser(description="Claude MMA Execution Script")
 parser.add_argument(
  "--role",
  choices=['tier1', 'tier2', 'tier3', 'tier4',
   'tier1-orchestrator', 'tier2-tech-lead', 'tier3-worker', 'tier4-qa'],
  help="The tier role to execute"
 )
 parser.add_argument(
  "--task-file",
  type=str,
  help="TOML file defining the task"
 )
 parser.add_argument(
  "--timeout",
  type=int,
  default=None,
  help="Subprocess timeout in seconds (default: no timeout)"
 )
 parser.add_argument(
  "prompt",
  type=str,
  nargs='?',
  help="The prompt for the tier (optional if --task-file is used)"
 )
 return parser

def main() -> None:
 parser = create_parser()
 args = parser.parse_args()
 role = args.role
 prompt = args.prompt
 docs = []
 if args.task_file and os.path.exists(args.task_file):
  with open(args.task_file, "rb") as f:
   task_data = tomllib.load(f)
   role = task_data.get("role", role)
   prompt = task_data.get("prompt", prompt)
   docs = task_data.get("docs", [])
 if not role or not prompt:
  parser.print_help()
  return
 if not docs:
  docs = get_role_documents(role)
  # Extract @file references from the prompt
 file_refs: list[str] = re.findall(r"@([\w./\\]+)", prompt)
 for ref in file_refs:
  if os.path.exists(ref) and ref not in docs:
   docs.append(ref)
 print(f"Executing role: {role} with docs: {docs}")
 result = execute_agent(role, prompt, docs, timeout=args.timeout)
 print(result)

if __name__ == "__main__":
 main()
