#!/usr/bin/env python

# Usage: ./{function_name}.py <tool-data>

import os
import re
import json
import sys
import importlib.util
from pathlib import Path

def _ensure_cwd_venv():
    cwd = Path.cwd()
    venv_dir = cwd / ".venv"
    if not venv_dir.is_dir():
        return

    py = venv_dir / ("Scripts/python.exe" if os.name == "nt" else "bin/python")
    if not py.exists():
        return

    if Path(sys.prefix).resolve() == venv_dir.resolve():
        return

    os.execv(str(py), [str(py)] + sys.argv)

_ensure_cwd_venv()


def main():
    raw_data = parse_argv()
    tool_data = parse_raw_data(raw_data)

    root_dir = "{root_dir}"
    setup_env(root_dir)

    tool_path = "{tool_path}.py"
    run(tool_path, "run", tool_data)


def parse_raw_data(data):
    if not data:
        raise ValueError("No JSON data")

    try:
        return json.loads(data)
    except Exception:
        raise ValueError("Invalid JSON data")


def parse_argv():
    argv = sys.argv[:] + [None] * max(0, 2 - len(sys.argv))

    tool_data = argv[1]

    if (not tool_data):
        print("Usage: ./{function_name}.py <tool-data>", file=sys.stderr)
        sys.exit(1)

    return tool_data


def setup_env(root_dir):
    load_env(os.path.join(root_dir, ".env"))
    os.environ["LLM_ROOT_DIR"] = root_dir
    os.environ["LLM_TOOL_NAME"] = "{function_name}"
    os.environ["LLM_TOOL_CACHE_DIR"] = os.path.join(root_dir, "cache", "{function_name}")


def load_env(file_path):
    try:
        with open(file_path, "r") as f:
            lines = f.readlines()
    except:
        return

    env_vars = {}

    for line in lines:
        line = line.strip()
        if line.startswith("#") or not line:
            continue

        key, *value_parts = line.split("=")
        env_name = key.strip()

        if env_name not in os.environ:
            env_value = "=".join(value_parts).strip()
            if (env_value.startswith('"') and env_value.endswith('"')) or (env_value.startswith("'") and env_value.endswith("'")):
                env_value = env_value[1:-1]
            env_vars[env_name] = env_value

    os.environ.update(env_vars)


def run(tool_path, tool_func, tool_data):
    spec = importlib.util.spec_from_file_location(
        os.path.basename(tool_path), tool_path
    )
    mod = importlib.util.module_from_spec(spec)
    spec.loader.exec_module(mod)

    if not hasattr(mod, tool_func):
        raise Exception(f"No module function '{tool_func}' at '{tool_path}'")

    value = getattr(mod, tool_func)(**tool_data)
    return_to_llm(value)
    dump_result("{function_name}")


def return_to_llm(value):
    if value is None:
        return

    if "LLM_OUTPUT" in os.environ:
        writer = open(os.environ["LLM_OUTPUT"], "w")
    else:
        writer = sys.stdout

    value_type = type(value).__name__
    if value_type in ("str", "int", "float", "bool"):
        writer.write(str(value))
    elif value_type == "dict" or value_type == "list":
        value_str = json.dumps(value, indent=2)
        assert value == json.loads(value_str)
        writer.write(value_str)


def dump_result(name):
    if (not os.getenv("LLM_DUMP_RESULTS")) or (not os.getenv("LLM_OUTPUT")) or (not os.isatty(1)):
        return

    show_result = False
    try:
        if re.search(rf'\b({os.environ["LLM_DUMP_RESULTS"]})\b', name):
            show_result = True
    except:
        pass

    if not show_result:
        return

    try:
        with open(os.environ["LLM_OUTPUT"], "r", encoding="utf-8") as f:
            data = f.read()
    except:
        return

    print(f"\x1b[2m----------------------\n{data}\n----------------------\x1b[0m")


if __name__ == "__main__":
    main()
