import os

# 必填参数
# API Settings
BACKEND_HOST = os.getenv("BACKEND_HOST", "https://api-dev.gptbase.ai")
MASTERKEY = os.getenv("MASTERKEY", "master")
FASTAPI_URL = os.getenv('FASTAPI_URL', 'http://127.0.0.1:8001')

# LLM Token Settings
MAX_CONTEXT_TOKENS = int(os.getenv("MAX_CONTEXT_TOKENS", 200000))
MAX_OUTPUT_TOKENS = int(os.getenv("MAX_OUTPUT_TOKENS", 8000))

# 可选参数
# Summarization Settings
SUMMARIZATION_MAX_TOKENS = int(MAX_CONTEXT_TOKENS/3)
SUMMARIZATION_TOKENS_TO_KEEP = int(SUMMARIZATION_MAX_TOKENS/3)
DEFAULT_TRIM_TOKEN_LIMIT = SUMMARIZATION_MAX_TOKENS - SUMMARIZATION_TOKENS_TO_KEEP + 5000

# Agent Cache Settings
TOOL_CACHE_MAX_SIZE = int(os.getenv("TOOL_CACHE_MAX_SIZE", 20))
TOOL_CACHE_TTL = int(os.getenv("TOOL_CACHE_TTL", 180))
TOOL_CACHE_AUTO_RENEW = os.getenv("TOOL_CACHE_AUTO_RENEW", "true") == "true"

# Project Settings
PROJECT_DATA_DIR = os.getenv("PROJECT_DATA_DIR", "./projects/data")
SKILLS_DIR = os.getenv("SKILLS_DIR", "./skills")

# Tokenizer Settings
TOKENIZERS_PARALLELISM = os.getenv("TOKENIZERS_PARALLELISM", "true")

# Embedding Model Settings
SENTENCE_TRANSFORMER_MODEL = os.getenv("SENTENCE_TRANSFORMER_MODEL", "TaylorAI/gte-tiny")

# Tool Output Length Control Settings
TOOL_OUTPUT_MAX_LENGTH = int(SUMMARIZATION_MAX_TOKENS/4)
TOOL_OUTPUT_TRUNCATION_STRATEGY = os.getenv("TOOL_OUTPUT_TRUNCATION_STRATEGY", "smart")

# THINKING ENABLE
DEFAULT_THINKING_ENABLE = os.getenv("DEFAULT_THINKING_ENABLE", "true") == "true"


# WebDAV Authentication
WEBDAV_USERNAME = os.getenv("WEBDAV_USERNAME", "admin")
WEBDAV_PASSWORD = os.getenv("WEBDAV_PASSWORD", "MmL85TjjxZC97hk9rsYfhQ")

# MCP Tool Timeout Settings
MCP_HTTP_TIMEOUT = int(os.getenv("MCP_HTTP_TIMEOUT", 60))  # HTTP 请求超时（秒）
MCP_SSE_READ_TIMEOUT = int(os.getenv("MCP_SSE_READ_TIMEOUT", 300))  # SSE 读取超时（秒）

# ============================================================
# PostgreSQL Checkpoint Configuration
# ============================================================

# PostgreSQL 连接字符串
# 格式: postgresql://user:password@host:port/database
CHECKPOINT_DB_URL = os.getenv("CHECKPOINT_DB_URL", "postgresql://postgres:AeEGDB0b7Z5GK0E2tblt@dev-circleo-pg.celp3nik7oaq.ap-northeast-1.rds.amazonaws.com:5432/gptbase")
#CHECKPOINT_DB_URL = os.getenv("CHECKPOINT_DB_URL", "postgresql://postgres:E5ACJo6zJub4QS@192.168.102.5:5432/agent_db")

# 连接池大小
# 同时可以持有的最大连接数
CHECKPOINT_POOL_SIZE = int(os.getenv("CHECKPOINT_POOL_SIZE", "20"))
MEM0_POOL_SIZE = int(os.getenv("MEM0_POOL_SIZE", "20"))

# Checkpoint 自动清理配置
# 是否启用自动清理旧 session
CHECKPOINT_CLEANUP_ENABLED = os.getenv("CHECKPOINT_CLEANUP_ENABLED", "true") == "true"

# 清理多少天前未活动的 thread（天数）
CHECKPOINT_CLEANUP_INACTIVE_DAYS = int(os.getenv("CHECKPOINT_CLEANUP_INACTIVE_DAYS", "3"))

# 清理间隔（小时）
# 每隔多少小时执行一次清理任务
CHECKPOINT_CLEANUP_INTERVAL_HOURS = int(os.getenv("CHECKPOINT_CLEANUP_INTERVAL_HOURS", "24"))


# ============================================================
# Mem0 长期记忆配置
# ============================================================

# Mem0 功能开关（全局）
MEM0_ENABLED = os.getenv("MEM0_ENABLED", "true") == "true"

# 语义搜索配置
# 召回记忆数量
MEM0_SEMANTIC_SEARCH_TOP_K = int(os.getenv("MEM0_SEMANTIC_SEARCH_TOP_K", "20"))

os.environ["OPENAI_API_KEY"] = "your_api_key"

# ============================================================
# RAGFlow Knowledge Base Configuration
# ============================================================

# RAGFlow API 配置
RAGFLOW_API_URL = os.getenv("RAGFLOW_API_URL", "http://100.77.70.35:1080")
RAGFLOW_API_KEY = os.getenv("RAGFLOW_API_KEY", "ragflow-MRqxnDnYZ1yp5kklDMIlKH4f1qezvXIngSMGPhu1AG8")

# 文件上传配置
RAGFLOW_MAX_UPLOAD_SIZE = int(os.getenv("RAGFLOW_MAX_UPLOAD_SIZE", str(100 * 1024 * 1024)))  # 100MB
RAGFLOW_ALLOWED_EXTENSIONS = os.getenv(
    "RAGFLOW_ALLOWED_EXTENSIONS",
    "pdf,xlsx,xls,csv,png,jpg,jpeg,gif,tif,eml,txt,md,mdx,html,json,docx,pptx,ppt,mp3,wav,mp4,avi,mkv"
).split(",")

# 性能配置
RAGFLOW_CONNECTION_TIMEOUT = int(os.getenv("RAGFLOW_CONNECTION_TIMEOUT", "30"))  # 30秒
RAGFLOW_MAX_CONCURRENT_UPLOADS = int(os.getenv("RAGFLOW_MAX_CONCURRENT_UPLOADS", "5"))

# ============================================================
# New API Payment Configuration
# ============================================================

# New API 基础 URL（支付后端）
NEW_API_BASE_URL = os.getenv("NEW_API_BASE_URL", "http://116.62.16.218:3000")

# New API 请求超时（秒）
NEW_API_TIMEOUT = int(os.getenv("NEW_API_TIMEOUT", "30"))

# New API 管理员密钥（用于同步用户等管理操作，可选）
NEW_API_ADMIN_KEY = os.getenv("NEW_API_ADMIN_KEY", "")

# ============================================================
# Volcengine Realtime Dialogue Configuration
# ============================================================
VOLCENGINE_APP_ID = os.getenv("VOLCENGINE_APP_ID", "2511880162")
VOLCENGINE_ACCESS_KEY = os.getenv("VOLCENGINE_ACCESS_KEY", "pjLbaqR1lHFfkv1xcJAYnvKV0HAvsBvt")
VOLCENGINE_DEFAULT_SPEAKER = os.getenv(
    "VOLCENGINE_DEFAULT_SPEAKER", "zh_female_xiaohe_uranus_bigtts"
)
VOLCENGINE_TTS_SAMPLE_RATE = int(os.getenv("VOLCENGINE_TTS_SAMPLE_RATE", "24000"))

# ============================================================
# Voice Lite Configuration (ASR + Agent + TTS pipeline)
# ============================================================
VOICE_DEFAULT_MODE = os.getenv("VOICE_DEFAULT_MODE", "lite")  # "realtime" | "lite"
# Silence timeout (seconds) - ASR considers user done speaking after this
VOICE_LITE_SILENCE_TIMEOUT = float(os.getenv("VOICE_LITE_SILENCE_TIMEOUT", "1.5"))

# ============================================================
# Single Agent Mode Configuration
# ============================================================
SINGLE_AGENT_MODE = os.getenv("SINGLE_AGENT_MODE", "false") == "true"
TEMPLATE_BOT_ID = os.getenv("TEMPLATE_BOT_ID", "403a2b63-88e4-4db1-b712-8dcf31fc98ea")
TEMPLATE_BOT_NAME = os.getenv("TEMPLATE_BOT_NAME", "智能助手")