from dataclasses import dataclass, is_dataclass, fields, MISSING
from typing import Any, Tuple, Type
import yaml
from pathlib import Path
from typing import Dict
import os

from loguru import logger
from dotenv import load_dotenv

load_dotenv()

## NOTE: base classes taken from nerfstudio
class PrintableConfig:
    """Printable Config defining str function"""

    def __str__(self):
        lines = [self.__class__.__name__ + ":"]
        for key, val in vars(self).items():

            if self.is_secrete(key):
                val = str(val)
                val = val[:3] + "*"*(len(val) - 6) + val[-3:]
                
            if isinstance(val, Tuple):
                flattened_val = "["
                for item in val:
                    flattened_val += str(item) + "\n"
                flattened_val = flattened_val.rstrip("\n")
                val = flattened_val + "]"
            lines += f"{key}: {str(val)}".split("\n")
        return "\n"  + "\n    ".join(lines)
    
    def is_secrete(self, inp:str):
        sec_list = ["secret", "api_key"]
        for sec in sec_list:
            if sec in inp:
                return True
        
        return False


# Base instantiate configs
@dataclass
class InstantiateConfig(PrintableConfig):
    """Config class for instantiating an the class specified in the _target attribute."""

    _target: Type

    def setup(self, **kwargs) -> Any:
        """Returns the instantiated object using the config."""
        return self._target(self, **kwargs)
    
    def save_config(self, filename: str) -> None:
        """Save the config to a YAML file."""
        def mask_value(key, value):
            # Apply masking if key is secret-like
            if isinstance(value, str) and self.is_secrete(key):
                sval = str(value)
                return sval[:3] + "*" * (len(sval) - 6) + sval[-3:]
            return value

        def to_masked_serializable(obj):
            # Recursively convert dataclasses and containers to serializable with masked secrets
            if is_dataclass(obj):
                out = {}
                for k, v in vars(obj).items():
                    if is_dataclass(v) or isinstance(v, (dict, list, tuple)):
                        out[k] = to_masked_serializable(v)
                    else:
                        out[k] = mask_value(k, v)
                return out
            if isinstance(obj, dict):
                out = {}
                for k, v in obj.items():
                    if is_dataclass(v) or isinstance(v, (dict, list, tuple)):
                        out[k] = to_masked_serializable(v)
                    else:
                        # k might be a non-string; convert to str for is_secrete check consistency
                        key_str = str(k)
                        out[k] = mask_value(key_str, v)
                return out
            if isinstance(obj, list):
                return [to_masked_serializable(v) for v in obj]
            if isinstance(obj, tuple):
                return tuple(to_masked_serializable(v) for v in obj)
            return obj

        masked = to_masked_serializable(self)
        with open(filename, 'w') as f:
            yaml.dump(masked, f)
        logger.info(f"[yellow]config saved to: {filename}[/yellow]")
    
    def get_name(self):
        return self.__class__.__name__

            


@dataclass
class KeyConfig(InstantiateConfig):

    api_key:str = None
    """api key for llm"""

    def __post_init__(self):
        if self.api_key == "wrong-key" or self.api_key is None:
            self.api_key = os.environ.get("ALI_API_KEY")
            if self.api_key is None:
                logger.error(f"no ALI_API_KEY provided for embedding")
            else:
                logger.info("ALI_API_KEY loaded from environ")


@dataclass
class ToolConfig(InstantiateConfig):
    use_tool:bool = True
    """specify to use tool or not"""

def load_tyro_conf(filename: str, inp_conf = None) -> InstantiateConfig:
    """load and overwrite config from file"""
    config = yaml.load(Path(filename).read_text(), Loader=yaml.Loader)

    config = ovewrite_config(config, inp_conf) if inp_conf is not None else config
    return config

def is_default(instance, field_):
    """
    Check if the value of a field in a dataclass instance is the default value.
    """
    value = getattr(instance, field_.name)

    if field_.default is not MISSING:
        # Compare with default value
        return value == field_.default
    elif field_.default_factory is not MISSING:
        # Compare with value generated by the default factory
        return value == field_.default_factory()
    else:
        # No default value specified
        return False

def ovewrite_config(loaded_conf, inp_conf):
    """for non-default values in inp_conf, overwrite the corresponding values in loaded_conf"""
    if not (is_dataclass(loaded_conf) and is_dataclass(inp_conf)):
        return loaded_conf

    for field_ in fields(loaded_conf):
        field_name = field_.name
        # if field_name in inp_conf:
        current_value = getattr(inp_conf, field_name)
        new_value = getattr(inp_conf, field_name) #inp_conf[field_name]

        if is_dataclass(current_value):
            # Recurse for nested dataclasses
            merged_value = ovewrite_config(current_value, new_value)
            setattr(loaded_conf, field_name, merged_value)
        elif not is_default(inp_conf, field_):
            # Overwrite only if the current value is not default
            setattr(loaded_conf, field_name, new_value)

    return loaded_conf


def mcp_langchain_to_ws_config(conf:Dict[str, Dict[str, str]]):
    serv_conf = {}

    for k, v in conf.items():

        if v["transport"] == "stdio":
            serv_conf[k] = {
                "type" : v["transport"],
                "command": v["command"],
                "args": v["args"],
            }
        else:
            logger.warning(f"Unsupported transport {v['transport']} for MCP {k}. Skipping...")
            continue

    return {"mcpServers":serv_conf}