import os
import glob as globlib
from modaic import PrecompiledProgram, PrecompiledConfig
import dspy
import re

# --- Modaic ---

MODAIC_REPO_PATH = "farouk1/nanocode"

# --- ANSI colors ---

RESET = "\033[0m"
BOLD = "\033[1m"
DIM = "\033[2m"
BLUE = "\033[34m"
CYAN = "\033[36m"
GREEN = "\033[32m"
YELLOW = "\033[33m"
RED = "\033[31m"
MAGENTA = "\033[35m"

# --- File operations ---


def read_file(path: str, offset: int = 0, limit: int = None) -> str:
    """Read file contents with line numbers.

    Args:
        path: Path to the file to read
        offset: Line number to start from (0-indexed)
        limit: Maximum number of lines to read

    Returns:
        File contents with line numbers
    """
    print(f"{MAGENTA}⏺ Reading file: {path}{RESET}")

    lines = open(path).readlines()
    if limit is None:
        limit = len(lines)
    selected = lines[offset : offset + limit]
    return "".join(f"{offset + idx + 1:4}| {line}" for idx, line in enumerate(selected))


def write_file(path: str, content: str) -> str:
    """Write content to a file.

    Args:
        path: Path to the file to write
        content: Content to write to the file

    Returns:
        'ok' on success
    """
    print(f"{MAGENTA}⏺ Writing file: {path}{RESET}")
    with open(path, "w") as f:
        f.write(content)
    return "ok"


def edit_file(path: str, old: str, new: str, replace_all: bool = False) -> str:
    """Replace text in a file.

    Args:
        path: Path to the file to edit
        old: Text to find and replace
        new: Replacement text
        replace_all: If True, replace all occurrences; otherwise old must be unique

    Returns:
        'ok' on success, error message on failure
    """
    print(f"{MAGENTA}⏺ Editing file: {path}{RESET}")
    text = open(path).read()
    if old not in text:
        return "error: old_string not found"
    count = text.count(old)
    if not replace_all and count > 1:
        return f"error: old_string appears {count} times, must be unique (use replace_all=True)"
    replacement = text.replace(old, new) if replace_all else text.replace(old, new, 1)
    with open(path, "w") as f:
        f.write(replacement)
    return "ok"


def glob_files(pattern: str, path: str = ".") -> str:
    """Find files matching a glob pattern, sorted by modification time.

    Args:
        pattern: Glob pattern to match (e.g., '**/*.py')
        path: Base directory to search in

    Returns:
        Newline-separated list of matching files
    """
    print(f"{MAGENTA}⏺ Finding files with pattern: {pattern}{RESET}")
    full_pattern = (path + "/" + pattern).replace("//", "/")
    files = globlib.glob(full_pattern, recursive=True)
    files = sorted(
        files,
        key=lambda f: os.path.getmtime(f) if os.path.isfile(f) else 0,
        reverse=True,
    )
    return "\n".join(files) or "no files found"


def grep_files(pattern: str, path: str = ".") -> str:
    """Search files for a regex pattern.

    Args:
        pattern: Regular expression pattern to search for
        path: Base directory to search in

    Returns:
        Matching lines in format 'filepath:line_num:content'
    """
    print(f"{MAGENTA}⏺ Searching for pattern: {pattern}{RESET}")
    regex = re.compile(pattern)
    hits = []
    for filepath in globlib.glob(path + "/**", recursive=True):
        try:
            for line_num, line in enumerate(open(filepath), 1):
                if regex.search(line):
                    hits.append(f"{filepath}:{line_num}:{line.rstrip()}")
        except Exception:
            pass
    return "\n".join(hits[:50]) or "no matches found"


# --- Shell operations ---


def run_bash(cmd: str) -> str:
    """Run a shell command and return output.

    Args:
        cmd: Shell command to execute

    Returns:
        Command output (stdout and stderr combined)
    """
    print(f"{MAGENTA}⏺ Running command: {cmd}{RESET}")
    proc = subprocess.Popen(
        cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True
    )
    output_lines = []
    try:
        while True:
            line = proc.stdout.readline()
            if not line and proc.poll() is not None:
                break
            if line:
                print(f"  {DIM}│ {line.rstrip()}{RESET}", flush=True)
                output_lines.append(line)
        proc.wait(timeout=30)
    except subprocess.TimeoutExpired:
        proc.kill()
        output_lines.append("\n(timed out after 30s)")
    return "".join(output_lines).strip() or "(empty output)"


# --- Model selection ---

AVAILABLE_MODELS = {
    "1": ("GPT-5.2 Codex", "openai/gpt-5.2-codex"),
    "2": ("GPT-5.2", "openai/gpt-5.2"),
    "3": ("Claude Opus 4.5", "anthropic/claude-opus-4.5"),
    "4": ("Claude Opus 4", "anthropic/claude-opus-4"),
    "5": ("Qwen 3 Coder", "qwen/qwen3-coder"),
    "6": ("Gemini 3 Flash Preview", "google/gemini-3-flash-preview"),
    "7": ("Kimi K2 0905", "moonshotai/kimi-k2-0905"),
    "8": ("Minimax M2.1", "minimax/minimax-m2.1"),
}

def select_model():
    """Interactive model selection or use environment variable."""
    print(f"\n{BOLD}Select a model:{RESET}")
    for key, (name, model_id) in AVAILABLE_MODELS.items():
        print(f"  {BLUE}{key}{RESET}. {name} ({DIM}{model_id}{RESET})")
    print(f"  {BLUE}c{RESET}. Custom model (enter manually)")

    while True:
        try:
            choice = (
                input(f"\n{BOLD}{BLUE}❯{RESET} Enter choice (1-8 or c): ")
                .strip()
                .lower()
            )

            if choice in AVAILABLE_MODELS:
                name, model_id = AVAILABLE_MODELS[choice]
                print(f"{GREEN}⏺ Selected: {name}{RESET}")
                return model_id
            elif choice == "c":
                custom_model = input(
                    f"{BOLD}{BLUE}❯{RESET} Enter model ID (e.g., openai/gpt-4): "
                ).strip()
                if custom_model:
                    print(f"{GREEN}⏺ Selected custom model: {custom_model}{RESET}")
                    return custom_model
                else:
                    print(f"{RED}⏺ Invalid model ID{RESET}")
            else:
                print(f"{RED}⏺ Invalid choice. Please enter 1-8 or c{RESET}")
        except (KeyboardInterrupt, EOFError):
            print(f"\n{RED}⏺ Model selection cancelled{RESET}")
            exit(1)


class CodingAssistant(dspy.Signature):
    """You are a concise coding assistant with access to sub agents."""

    task: str = dspy.InputField(desc="The user's coding task or question")
    answer: str = dspy.OutputField(
        desc="Your response to the user after completing the task"
    )

class RLMCodingConfig(PrecompiledConfig):
    max_iters: int = 50
    lm: str = "openrouter/openai/gpt-5.2-codex"
    sub_lm: str = "openrouter/openai/gpt-5-mini"
    api_base: str = "https://openrouter.ai/api/v1"
    max_tokens: int = 50000
    max_output_chars: int = 100000
    verbose: bool = False
    track_usage: bool = True


class RLMCodingProgram(PrecompiledProgram):
    config: RLMCodingConfig

    def __init__(self, config: RLMCodingConfig, **kwargs):
        super().__init__(config, **kwargs)

        self.config = config
        self.tools = {
            "read_file": read_file,
            "write_file": write_file,
            "edit_file": edit_file,
            "glob_files": glob_files,
            "grep_files": grep_files,
            "run_bash": run_bash,
        }

        self.lm = dspy.LM(
            model=self.config.lm,
            api_base=self.config.api_base,
            max_tokens=self.config.max_tokens,
            track_usage=self.config.track_usage,
        )
        self.sub_lm = dspy.LM(
            model=self.config.sub_lm,
            api_base=self.config.api_base,
            max_tokens=self.config.max_tokens,
            track_usage=self.config.track_usage,
        )
        agent = dspy.RLM(
            CodingAssistant,
            sub_lm=self.sub_lm,
            tools=self.tools,
            max_output_chars=self.config.max_output_chars,
            max_iterations=self.config.max_iters,
            verbose=self.config.verbose,
        )

        agent.set_lm(self.lm)
        self.agent = agent

    def forward(self, task: str) -> str:
        assert task, "Task cannot be empty"
        return self.agent(task=task)

    def get_tools(self):
        return self.tools

    def set_tool(self, name: str, tool: callable):
        self.tools[name] = tool
        self.reload_repl_tools()

    def remove_tool(self, name: str):
        if name in self.tools:
            del self.tools[name]
            self.reload_repl_tools()

    def reload_repl_tools(
        self,
    ):  # we need to create a new instance for tool mutations to be passed back into the REPL
        new_instance = dspy.RLM(
            CodingAssistant,
            sub_lm=self.sub_lm,
            tools=self.tools,
            max_output_chars=self.config.max_output_chars,
            max_iterations=self.config.max_iters,
            verbose=self.config.verbose,
        )
        new_instance.set_lm(self.lm)
        self.agent = new_instance

if __name__ == "__main__":
    agent = RLMCodingProgram(RLMCodingConfig())
    agent.push_to_hub(MODAIC_REPO_PATH, commit_message="change signature", branch="dev")