import time
import json
import logging
from pr.ui import Colors, display_tool_call, print_autonomous_header
from pr.autonomous.detection import is_task_complete
from pr.core.context import truncate_tool_result

logger = logging.getLogger('pr')

def run_autonomous_mode(assistant, task):
    assistant.autonomous_mode = True
    assistant.autonomous_iterations = 0

    logger.debug(f"=== AUTONOMOUS MODE START ===")
    logger.debug(f"Task: {task}")

    if assistant.verbose:
        print_autonomous_header(task)

    assistant.messages.append({
        "role": "user",
        "content": f"AUTONOMOUS TASK: {task}\n\nPlease work on this task step by step. Use tools as needed. When the task is fully complete, clearly state 'Task complete'."
    })

    try:
        while True:
            assistant.autonomous_iterations += 1

            logger.debug(f"--- Autonomous iteration {assistant.autonomous_iterations} ---")
            logger.debug(f"Messages before context management: {len(assistant.messages)}")

            if assistant.verbose:
                print(f"\n{Colors.BOLD}{Colors.MAGENTA}{'▶' * 3} Iteration {assistant.autonomous_iterations} {'◀' * 3}{Colors.RESET}\n")

            from pr.core.context import manage_context_window
            assistant.messages = manage_context_window(assistant.messages, assistant.verbose)

            logger.debug(f"Messages after context management: {len(assistant.messages)}")

            if assistant.verbose:
                print(f"{Colors.GRAY}Calling API...{Colors.RESET}")

            from pr.core.api import call_api
            from pr.tools.base import get_tools_definition
            response = call_api(
                assistant.messages,
                assistant.model,
                assistant.api_url,
                assistant.api_key,
                assistant.use_tools,
                get_tools_definition(),
                verbose=assistant.verbose
            )

            if 'error' in response:
                logger.error(f"API error in autonomous mode: {response['error']}")
                print(f"{Colors.RED}Error: {response['error']}{Colors.RESET}")
                break

            is_complete = is_task_complete(response, assistant.autonomous_iterations)
            logger.debug(f"Task completion check: {is_complete}")

            if is_complete:
                result = process_response_autonomous(assistant, response)
                print(f"\n{Colors.GREEN}r:{Colors.RESET} {result}\n")

                logger.debug(f"=== AUTONOMOUS MODE COMPLETE ===")
                logger.debug(f"Total iterations: {assistant.autonomous_iterations}")
                logger.debug(f"Final message count: {len(assistant.messages)}")

                print(f"{Colors.BOLD}Total Iterations:{Colors.RESET} {assistant.autonomous_iterations}")
                print(f"{Colors.BOLD}Messages in Context:{Colors.RESET} {len(assistant.messages)}\n")
                break

            result = process_response_autonomous(assistant, response)

            if result:
                print(f"\n{Colors.GREEN}r:{Colors.RESET} {result}\n")

            time.sleep(0.5)

    except KeyboardInterrupt:
        logger.debug("Autonomous mode interrupted by user")
        print(f"\n{Colors.YELLOW}Autonomous mode interrupted by user{Colors.RESET}")
    finally:
        assistant.autonomous_mode = False
        logger.debug("=== AUTONOMOUS MODE END ===")

def process_response_autonomous(assistant, response):
    if 'error' in response:
        return f"Error: {response['error']}"

    if 'choices' not in response or not response['choices']:
        return "No response from API"

    message = response['choices'][0]['message']
    assistant.messages.append(message)

    if 'tool_calls' in message and message['tool_calls']:
        print(f"{Colors.BOLD}{Colors.CYAN}🔧 Executing {len(message['tool_calls'])} tool(s)...{Colors.RESET}\n")

        tool_results = []

        for tool_call in message['tool_calls']:
            func_name = tool_call['function']['name']
            arguments = json.loads(tool_call['function']['arguments'])

            display_tool_call(func_name, arguments, "running")

            result = execute_single_tool(assistant, func_name, arguments)
            result = truncate_tool_result(result)

            status = "success" if result.get("status") == "success" else "error"
            display_tool_call(func_name, arguments, status, result)

            tool_results.append({
                "tool_call_id": tool_call['id'],
                "role": "tool",
                "content": json.dumps(result)
            })

        for result in tool_results:
            assistant.messages.append(result)

        print(f"{Colors.GRAY}Processing tool results...{Colors.RESET}\n")
        from pr.core.api import call_api
        from pr.tools.base import get_tools_definition
        follow_up = call_api(
            assistant.messages,
            assistant.model,
            assistant.api_url,
            assistant.api_key,
            assistant.use_tools,
            get_tools_definition(),
            verbose=assistant.verbose
        )
        return process_response_autonomous(assistant, follow_up)

    content = message.get('content', '')
    from pr.ui import render_markdown
    return render_markdown(content, assistant.syntax_highlighting)

def execute_single_tool(assistant, func_name, arguments):
    logger.debug(f"Executing tool in autonomous mode: {func_name}")
    logger.debug(f"Tool arguments: {arguments}")

    from pr.tools import (
        http_fetch, run_command, run_command_interactive, read_file, write_file,
        list_directory, mkdir, chdir, getpwd, db_set, db_get, db_query,
        web_search, web_search_news, python_exec, index_source_directory,
        search_replace, open_editor, editor_insert_text, editor_replace_text,
        editor_search, close_editor, create_diff, apply_patch, tail_process, kill_process
    )
    from pr.tools.patch import display_file_diff
    from pr.tools.filesystem import display_edit_summary, display_edit_timeline, clear_edit_tracker

    func_map = {
        'http_fetch': lambda **kw: http_fetch(**kw),
        'run_command': lambda **kw: run_command(**kw),
        'tail_process': lambda **kw: tail_process(**kw),
        'kill_process': lambda **kw: kill_process(**kw),
        'run_command_interactive': lambda **kw: run_command_interactive(**kw),
        'read_file': lambda **kw: read_file(**kw),
        'write_file': lambda **kw: write_file(**kw, db_conn=assistant.db_conn),
        'list_directory': lambda **kw: list_directory(**kw),
        'mkdir': lambda **kw: mkdir(**kw),
        'chdir': lambda **kw: chdir(**kw),
        'getpwd': lambda **kw: getpwd(**kw),
        'db_set': lambda **kw: db_set(**kw, db_conn=assistant.db_conn),
        'db_get': lambda **kw: db_get(**kw, db_conn=assistant.db_conn),
        'db_query': lambda **kw: db_query(**kw, db_conn=assistant.db_conn),
        'web_search': lambda **kw: web_search(**kw),
        'web_search_news': lambda **kw: web_search_news(**kw),
        'python_exec': lambda **kw: python_exec(**kw, python_globals=assistant.python_globals),
        'index_source_directory': lambda **kw: index_source_directory(**kw),
        'search_replace': lambda **kw: search_replace(**kw),
        'open_editor': lambda **kw: open_editor(**kw),
        'editor_insert_text': lambda **kw: editor_insert_text(**kw),
        'editor_replace_text': lambda **kw: editor_replace_text(**kw),
        'editor_search': lambda **kw: editor_search(**kw),
        'close_editor': lambda **kw: close_editor(**kw),
        'create_diff': lambda **kw: create_diff(**kw),
        'apply_patch': lambda **kw: apply_patch(**kw),
        'display_file_diff': lambda **kw: display_file_diff(**kw),
        'display_edit_summary': lambda **kw: display_edit_summary(),
        'display_edit_timeline': lambda **kw: display_edit_timeline(**kw),
        'clear_edit_tracker': lambda **kw: clear_edit_tracker(),
    }

    if func_name in func_map:
        try:
            result = func_map[func_name](**arguments)
            logger.debug(f"Tool execution result: {str(result)[:200]}...")
            return result
        except Exception as e:
            logger.error(f"Tool execution error: {str(e)}")
            return {"status": "error", "error": str(e)}
    else:
        logger.error(f"Unknown function requested: {func_name}")
        return {"status": "error", "error": f"Unknown function: {func_name}"}