from pathlib import Path
import os

DEFAULT_MODEL_NAME = "qwen2.5:32b-instruct"
DEFAULT_MODE = "角色扮演"
DEFAULT_C_SETTING_MODE = "by system"
DEFAULT_COSPLAY_SETTING = 'rag/characters/周杰伦.txt'
AVALIABLE_MODELS = [
    "deepseek-r1:7b",
    "deepseek-r1:14b",
    "deepseek-r1:32b",
    "qwq",
    "qwen2.5:0.5b-instruct",
    "qwen2.5:0.5b",
    # "qwen:1.8b",
    # "qwen2.5:7b",
    # "qwen2.5:14b",
    "qwen2.5:32b",
    "qwen2.5:32b-instruct",
    "qwen7B_jaychou_f16",
    "qwen0.5B_jaychou13",
    "qwen2.5:14b-instruct",
    "qwen2.5:7b-instruct",
    "qwen2.5:3b-instruct",
    "qwen14B_jaychou_q8_newdata_add_template",
    "qwen2.5_32B_jaychou",
    "qwen2.5_0.5B_jaychou_lora",
    # "qwen2.5_32B_jaychou_tq1"
    "qwen3:4b",
    "qwen3:8b",
    "qwen3:14b",
    "qwen3:32b",
    "qwen3:30b-a3b"
]
BASE_MODEL_TABLE = {"qwen7B_jaychou_f16": "qwen2.5:7b-instruct", "qwen0.5B_jaychou13": "qwen2.5:0.5b-instruct",
                    "qwen14B_jaychou_q8_newdata_add_template": "qwen2.5:14b-instruct",
                    "qwen2.5_32B_jaychou": "qwen2.5:32b-instruct",
                    "qwen2.5_0.5B_jaychou_lora": "qwen2.5:0.5b-instruct",
                    # "qwen2.5_32B_jaychou_tq1": "qwen2.5:32b-instruct"
                    }

AVALIABLE_KNOWLEDGE_BASE = [
    "rag/kb/BIGOLIVE及公司介绍",
    "rag/kb/主播A的直播间对话数据",
    "rag/kb/周杰伦",
    "rag/kb/狼人杀"
]
SUPPORT_MODES = [
    "角色扮演",
    "普通模式",
]
CHARACTER_SETTING_MODES = [
    "by system",
    "by prompt"
]

EXAMPLES_changkong = [
    """
    [0:00:00]:[0:00:04]	對呀 我肯定沒有回
    [0:00:04]:[0:00:08]	真的 今天我兒時頭 我感覺頭髮摘
    [0:00:08]:[0:00:10]	而且我的頭髮越來越爽了
    [0:00:10]:[0:00:13]	我頭髮越來越爽了
    [0:00:13]:[0:00:15]	真的越來越少
    [0:00:15]:[0:00:17]	好煩呀 我經常脫頭髮
    """,
    """
    [0:01:44]:[0:01:46]	我咋覺得這個茶克斯那麼熟呢
    [0:01:47]:[0:01:49]	哦 我想起來了
    【观众536644926】
    好像看过

    [0:01:50]:[0:01:51]	上次跟我一起打BK那個
    [0:01:52]:[0:01:53]	對面的那個
    【观众1887407561】
    嗨😂

    [0:01:54]:[0:01:55]	是不是你
    [0:01:55]:[0:01:56]	肯定是
    [0:01:57]:[0:01:58]	我有點想起來了
    [0:01:59]:[0:02:00]	因為他們老是在叫妳的名字
    [0:02:01]:[0:02:02]	好像看過
    [0:02:03]:[0:02:04]	哪一把BK來的
    [0:02:08]:[0:02:10]	嗨 我記得你了
    [0:02:11]:[0:02:12]	那個 讓我
    [0:02:13]:[0:02:14]	讓我 讓我 讓我
    [0:02:14]:[0:02:15]	做那個懲罰
    [0:02:15]:[0:02:17]	你知道嗎 我差點進去醫院了
    """,
    
]
EXAMPLES_zhubo_clone = ["""最近好烦啊"""]
EXAMPLES_langren = ["""玩家角色分配为一个预言家，一个女巫，一个猎人，三个平民，三个狼人。游戏开始，请开始主持。"""]
EXAMPLES_jaychou_clone = [
                """你是谁？""", 
                """不忙的时候你会做些什么？""",
                """你创作《素颜》这首歌的时候，背后有什么故事吗；这首歌里面有哪句歌词是你特别喜欢的""",
                """你的香味一直徘徊,比我知道,秘密躺在我怀抱,还有没有人知道。 这是你的哪首歌？""",
                ]
EXAMPLES = EXAMPLES_jaychou_clone
# 本地RAG
RAG_TOP_K = 5

# 联网
MAX_RESULTS= 3

# 目录信息
BASE_DIR = Path("demo_dir")
TEMP_DIR = BASE_DIR / "tmp"
USER_DIR = BASE_DIR / "user"
TEMP_DIR.mkdir(parents=True, exist_ok=True)
USER_DIR.mkdir(parents=True, exist_ok=True)
os.environ['GRADIO_TEMP_DIR'] = str(TEMP_DIR)

CSS = """
.rag-details:not([open]) > div { 
    display: none !important;  /* 强制折叠状态 */
    white-space: pre-wrap;     /* 保留换行符 */
}
.rag-details[open] summary::after {
    content: "▼";
    float: right;
}
"""

# LLM最大上下文长度
MAX_MODEL_CTX = 32768

# 知识库embedding模型
AVALIABLE_EMBEDDING_MODELS = [
    "BAAI/bge-large-zh-v1.5",
    "sentence-transformers/all-MiniLM-L12-v2",
    "sentence-transformers/all-MiniLM-L6-v2",
    "jinaai/jina-embeddings-v2-base-zh",
]
DEFAULT_EMBEDDING_MODEL = "BAAI/bge-large-zh-v1.5"