from __future__ import annotations

import logging
import netrc
import os
import subprocess
import sys
from dataclasses import dataclass, field
from typing import Dict, List, Optional
from urllib.parse import urlparse

import simple_parsing
from rich.logging import RichHandler
from rich.console import Console

os.environ["WANDB_SILENT"] = "True"
os.environ["WEAVE_SILENT"] = "True"


# Define a handler to redirect logs
class RedirectLoggerHandler(logging.Handler):
    """A handler that redirects log records to another logger."""

    def __init__(self, target_logger, *args, **kwargs):
        super().__init__(*args, **kwargs)
        self.target_logger = target_logger

    def emit(self, record):
        # Format the message using the handler's formatter if it has one
        # otherwise use the record's message. This ensures consistency
        # if formatters are used elsewhere.
        try:
            msg = self.format(record)
            new_record = logging.makeLogRecord(
                {
                    **record.__dict__,
                    "msg": msg,
                    "args": [],  # Args are already incorporated into msg by format()
                }
            )
            self.target_logger.handle(new_record)
        except Exception:
            self.handleError(record)


# Moved get_rich_logger here
def get_rich_logger(
    name: str,
    propagate: bool = False,
    default_level_str: str = "INFO",
    env_var_name: Optional[str] = None,
) -> logging.Logger:
    """
    Configure and return a logger with RichHandler.
    The log level can be set via an environment variable if `env_var_name` is provided.
    Otherwise, it defaults to `default_level_str`.
    """
    logger = logging.getLogger(name)
    stderr_console = Console(stderr=True)
    _rich_handler = RichHandler(
        console=stderr_console,
        show_time=True,
        show_level=True,
        show_path=False,
        markup=True,
    )
    if logger.hasHandlers():
        logger.handlers.clear()
    logger.addHandler(_rich_handler)

    # Determine the effective log level string
    # Start with the function's default_level_str (e.g., "INFO")
    effective_level_str = default_level_str.upper()
    source_of_level = f"function default ('{default_level_str}')"

    if env_var_name:
        env_level_value = os.environ.get(env_var_name)
        if env_level_value:
            effective_level_str = env_level_value.upper()
            source_of_level = (
                f"environment variable '{env_var_name}' ('{env_level_value}')"
            )

    # Attempt to convert the string to a logging level integer
    final_log_level = getattr(logging, effective_level_str, None)

    # If conversion failed, issue a warning and determine a fallback level.
    if not isinstance(final_log_level, int):
        warning_msg_parts = [
            f"Warning: Invalid log level string '{effective_level_str}' from {source_of_level} for logger '{name}'.",
            "Valid levels are DEBUG, INFO, WARNING, ERROR, CRITICAL.",
        ]

        # Check if the issue was with an environment variable and if the original default_level_str is valid
        if (
            env_var_name
            and os.environ.get(env_var_name)
            and effective_level_str != default_level_str.upper()
        ):
            fallback_to_default_level = getattr(
                logging, default_level_str.upper(), None
            )
            if isinstance(fallback_to_default_level, int):
                final_log_level = fallback_to_default_level
                warning_msg_parts.append(
                    f"Falling back to function default '{default_level_str.upper()}'."
                )
            else:  # Function default is also bad, use hardcoded INFO
                final_log_level = logging.INFO
                warning_msg_parts.append(
                    f"Function default '{default_level_str.upper()}' also invalid. Falling back to INFO."
                )
        else:  # No env var was specified, or env var was not set, or default_level_str itself was bad
            final_log_level = logging.INFO  # Hardcoded ultimate fallback
            warning_msg_parts.append("Falling back to INFO.")

        print(" ".join(warning_msg_parts), file=sys.stderr)

    logger.setLevel(final_log_level)
    logger.propagate = propagate
    return logger


# Setup module-level logger now that get_rich_logger is defined
utils_logger = get_rich_logger(__name__)


# Define server arguments using a dataclass for simple_parsing
@dataclass
class ServerMCPArgs:
    """Arguments for the Weave MCP Server."""

    wandb_api_key: Optional[str] = field(
        default=None, metadata=dict(help="Weights & Biases API key")
    )
    weave_entity: Optional[str] = field(
        default=None,
        metadata=dict(
            help="The Weights & Biases entity to log traced MCP server calls to"
        ),
    )
    weave_project: Optional[str] = field(
        default="weave-mcp-server",
        metadata=dict(
            help="The Weights & Biases project to log traced MCP server calls to"
        ),
    )
    transport: str = field(
        default="stdio",
        metadata=dict(
            help="Transport type: 'stdio' for local MCP client communication or 'http' for HTTP server"
        ),
    )
    port: Optional[int] = field(
        default=None,
        metadata=dict(
            help="Port to run the HTTP server on. Defaults to 8080 when using HTTP transport."
        ),
    )
    host: str = field(
        default="localhost",
        metadata=dict(help="Host to bind HTTP server to"),
    )


# Initialize server args global variable
_server_args = None


# Moved helper functions
def _wandb_base_url() -> str:
    return os.getenv("WANDB_BASE_URL", "https://api.wandb.ai")


def _wandb_api_key_via_netrc_file(filepath: str) -> str | None:
    netrc_path = os.path.expanduser(filepath)
    if not os.path.exists(netrc_path):
        return None
    nrc = netrc.netrc(netrc_path)
    res = nrc.authenticators(urlparse(_wandb_base_url()).netloc)
    api_key = None
    if res:
        _, _, api_key = res
    return api_key


def _wandb_api_key_via_netrc() -> str | None:
    for filepath in ("~/.netrc", "~/_netrc"):
        api_key = _wandb_api_key_via_netrc_file(filepath)
        if api_key:
            return api_key
    return None


def get_server_args():
    """Get the server arguments, parsing them if not already done."""
    global _server_args
    if _server_args is None:
        _server_args = ServerMCPArgs()  # wandb_api_key is None by default

        # Only parse args when explicitly requested, not at import time
        if os.environ.get("PARSE_ARGS_AT_IMPORT", "0") == "1":
            # This potentially updates _server_args with values from command line,
            # including wandb_api_key if provided as an argument.
            _server_args = simple_parsing.parse(ServerMCPArgs, dest=_server_args)

        # Check netrc file first, if API key not already set (e.g., by CLI)
        if _server_args.wandb_api_key is None:
            netrc_api_key = _wandb_api_key_via_netrc()
            if netrc_api_key:
                os.environ["WANDB_API_KEY"] = netrc_api_key  # Set for other modules
                _server_args.wandb_api_key = netrc_api_key
                # utils_logger.info("W&B API key loaded from .netrc file.")

        # If not set via netrc or CLI, try environment variable
        if _server_args.wandb_api_key is None:
            env_api_key = os.getenv("WANDB_API_KEY")
            if env_api_key:
                _server_args.wandb_api_key = env_api_key
                # utils_logger.info("W&B API key loaded from WANDB_API_KEY environment variable.")

        # If after all methods (CLI, netrc, env var), API key is still None or effectively empty,
        # set to empty string to match previous behavior and log a warning.
        if not _server_args.wandb_api_key:  # Covers None or empty string
            _server_args.wandb_api_key = ""  # Ensure it's an empty string if not found
            utils_logger.warning(
                "W&B API key was not found through command-line arguments, .netrc, or WANDB_API_KEY environment variable. "
                "Services requiring W&B authentication may not function correctly or may fail."
            )

    return _server_args


def merge_metadata(metadata_list: List[Dict]) -> Dict:
    """Merge metadata from multiple query results."""
    if not metadata_list:
        return {}

    merged = {
        "total_traces": 0,
        "token_counts": {
            "total_tokens": 0,
            "input_tokens": 0,
            "output_tokens": 0,
            "average_tokens_per_trace": 0,
        },
        "time_range": {"earliest": None, "latest": None},
        "status_summary": {"success": 0, "error": 0, "other": 0},
        "op_distribution": {},
    }

    for metadata in metadata_list:
        # Sum up trace counts
        merged["total_traces"] += metadata.get("total_traces", 0)

        # Sum up token counts
        token_counts = metadata.get("token_counts", {})
        merged["token_counts"]["total_tokens"] += token_counts.get("total_tokens", 0)
        merged["token_counts"]["input_tokens"] += token_counts.get("input_tokens", 0)
        merged["token_counts"]["output_tokens"] += token_counts.get("output_tokens", 0)

        # Update time range
        time_range = metadata.get("time_range", {})
        if time_range.get("earliest"):
            if (
                not merged["time_range"]["earliest"]
                or time_range["earliest"] < merged["time_range"]["earliest"]
            ):
                merged["time_range"]["earliest"] = time_range["earliest"]
        if time_range.get("latest"):
            if (
                not merged["time_range"]["latest"]
                or time_range["latest"] > merged["time_range"]["latest"]
            ):
                merged["time_range"]["latest"] = time_range["latest"]

        # Sum up status counts
        status_summary = metadata.get("status_summary", {})
        merged["status_summary"]["success"] += status_summary.get("success", 0)
        merged["status_summary"]["error"] += status_summary.get("error", 0)
        merged["status_summary"]["other"] += status_summary.get("other", 0)

        # Merge op distributions
        for op, count in metadata.get("op_distribution", {}).items():
            merged["op_distribution"][op] = merged["op_distribution"].get(op, 0) + count

    # Calculate average tokens per trace
    if merged["total_traces"] > 0:
        merged["token_counts"]["average_tokens_per_trace"] = (
            merged["token_counts"]["total_tokens"] / merged["total_traces"]
        )

    return merged


def get_git_commit():
    logger = get_rich_logger(__name__)
    try:
        result = subprocess.run(
            ["git", "rev-parse", "HEAD"], capture_output=True, text=True
        )
        return str(result.stdout.strip())[:8]
    except Exception as e:
        logger.warning(f"Failed to get git commit: {e}")
        return "unknown"