"""
Configuration and constants for Zen-Marketing MCP Server

This module centralizes all configuration settings for the Zen-Marketing MCP Server.
It defines model configurations, token limits, temperature defaults, and other
constants used throughout the application.

Configuration values can be overridden by environment variables where appropriate.
"""

import os

# Version and metadata
__version__ = "0.1.0"
__updated__ = "2025-11-07"
__author__ = "Ben (based on Zen MCP Server by Fahad Gilani)"

# Model configuration
# DEFAULT_MODEL: The default model used for all AI operations
# Can be overridden by setting DEFAULT_MODEL environment variable
DEFAULT_MODEL = os.getenv("DEFAULT_MODEL", "google/gemini-2.5-pro-latest")

# Fast model for quick operations (variations, subject lines)
FAST_MODEL = os.getenv("FAST_MODEL", "google/gemini-2.5-flash-preview-09-2025")

# Creative model for content generation
CREATIVE_MODEL = os.getenv("CREATIVE_MODEL", "minimax/minimax-m2")

# Auto mode detection - when DEFAULT_MODEL is "auto", Claude picks the model
IS_AUTO_MODE = DEFAULT_MODEL.lower() == "auto"

# Temperature defaults for different content types
# Temperature controls the randomness/creativity of model responses
# Lower values (0.0-0.3) produce more deterministic, focused responses
# Higher values (0.7-1.0) produce more creative, varied responses

# TEMPERATURE_PRECISION: Used for fact-checking and technical verification
TEMPERATURE_PRECISION = 0.2  # For factcheck, technical verification

# TEMPERATURE_ANALYTICAL: Used for style enforcement and SEO optimization
TEMPERATURE_ANALYTICAL = 0.3  # For styleguide, seooptimize, voiceanalysis

# TEMPERATURE_BALANCED: Used for strategic planning
TEMPERATURE_BALANCED = 0.5  # For guestedit, linkstrategy, campaignmap

# TEMPERATURE_CREATIVE: Used for content variation and adaptation
TEMPERATURE_CREATIVE = 0.7  # For platformadapt

# TEMPERATURE_HIGHLY_CREATIVE: Used for bulk variation generation
TEMPERATURE_HIGHLY_CREATIVE = 0.8  # For contentvariant, subjectlines

# Thinking Mode Defaults
DEFAULT_THINKING_MODE_THINKDEEP = os.getenv("DEFAULT_THINKING_MODE_THINKDEEP", "high")

# MCP Protocol Transport Limits
def _calculate_mcp_prompt_limit() -> int:
    """
    Calculate MCP prompt size limit based on MAX_MCP_OUTPUT_TOKENS environment variable.

    Returns:
        Maximum character count for user input prompts
    """
    max_tokens_str = os.getenv("MAX_MCP_OUTPUT_TOKENS")

    if max_tokens_str:
        try:
            max_tokens = int(max_tokens_str)
            # Allocate 60% of tokens for input, convert to characters (~4 chars per token)
            input_token_budget = int(max_tokens * 0.6)
            character_limit = input_token_budget * 4
            return character_limit
        except (ValueError, TypeError):
            pass

    # Default fallback: 60,000 characters
    return 60_000


MCP_PROMPT_SIZE_LIMIT = _calculate_mcp_prompt_limit()

# Language/Locale Configuration
LOCALE = os.getenv("LOCALE", "")

# Platform character limits
PLATFORM_LIMITS = {
    "twitter": 280,
    "bluesky": 300,
    "linkedin": 3000,
    "linkedin_optimal": 1300,
    "instagram": 2200,
    "facebook": 500,  # Optimal length
    "email_subject": 60,
    "email_preview": 100,
    "meta_description": 156,
    "page_title": 60,
}

# Web search configuration
ENABLE_WEB_SEARCH = os.getenv("ENABLE_WEB_SEARCH", "true").lower() == "true"

# Tool disabling
# Comma-separated list of tools to disable
DISABLED_TOOLS_STR = os.getenv("DISABLED_TOOLS", "")
DISABLED_TOOLS = set(tool.strip() for tool in DISABLED_TOOLS_STR.split(",") if tool.strip())

# Logging configuration
LOG_LEVEL = os.getenv("LOG_LEVEL", "INFO")