import pandas as pd
from openai import OpenAI
import requests
import json
import re
from pic_read import pic_see
from config import config_get,key_get
import os

# 全局变量在这里改写：
max_length = 20
max_pic_see = 1

prompt_pic = config_get("prompt_pic")
prompt_lora = config_get("prompt_lora")

pro_good = "solo,cat ears,black_hair,black_eye,"
pro_bad = config_get("pro_bad")

openrouter_key = key_get("openrouter")
groq_key = key_get("groq")
siliflow_key = key_get("siliflow")

def AI_chat(group_id ,word ,prompt):
    """
    猫猫人格，输入群号获取聊天记录，输入问题获取对话对象，返回字符串
    """
    # 加载聊天记录
    folder_path = '群聊记录'
    file_path = os.path.join(folder_path, str(group_id) + '.csv')
    df = pd.read_csv(file_path)
    recent = str("")
    recent_list = []
    for i in range(len(df)):
        if i >= len(df ) -max_length:
            recent_list.append(str(df.loc[i ,'user_name']))
            recent_list.append(str(df.loc[i, 'message']))
    pic_num = 0
    list_num = len(recent_list)
    for i in reversed(recent_list):
        list_num = list_num -1
        if pic_num >= max_pic_see:
            break
        if str(i).startswith("图片内容："):
            url = i[5:]
            recent_list[list_num] = "发送了一张图片，" + str(pic_see(url)).replace("\n", "")
            pic_num +=1
    for i in range(len(recent_list)):
        if i% 2 == 0:
            recent += recent_list[i] + ":"
        else:
            recent += recent_list[i] + "\n"
    print("-------------recent---------------")
    print(recent)
    messages = [{'role': 'system', 'content': prompt + recent}]
    messages.append({'role': 'user', 'content': word})


    try:
        ans = groq_chat(messages)
    except Exception as e:
        ans = chat_deepseek_r1(messages)
    ans = ans.lstrip()
    ans = ans.lstrip("猫猫：")
    while True:
        if ans.endswith("\n") or ans.endswith(" "):
            ans = ans[:-1]
        else:
            break
    return ans

def chat_deepseek_r1(messages):
    """
    备用对话通道，https://openrouter.ai/api/v1
    """
    client = OpenAI(
        base_url="https://openrouter.ai/api/v1",
        api_key=openrouter_key,
    )

    model2 = "deepseek/deepseek-r1-distill-llama-70b:free"
    model = "deepseek/deepseek-r1:free"

    completion = client.chat.completions.create(
        extra_headers={
            "HTTP-Referer": "<YOUR_SITE_URL>",  # Optional. Site URL for rankings on openrouter.ai.
            "X-Title": "<YOUR_SITE_NAME>",  # Optional. Site title for rankings on openrouter.ai.
        },
        model=model2,
        stream=False,
        messages=messages
    )

    ans = completion.choices[0].message.content

    return ans

def groq_chat(messages):
    """
    主对话通道，https://api.gxx12138.space/groq/v1
    """
    client = OpenAI(
        base_url="https://api.gxx12138.space/groq/v1",
        api_key=groq_key
    )

    model = "deepseek-r1-distill-llama-70b"

    completion = client.chat.completions.create(
        model=model,
        stream=False,
        messages=messages
    )

    ans = completion.choices[0].message.content

    return ans

def siliflow_chat(messages):
    """
    备用对话通道，https://api.siliconflow.cn/v1'
    """
    client = OpenAI(
        base_url='https://api.siliconflow.cn/v1',
        api_key=siliflow_key
    )
    try:
        print("硅基模型正常运作")
        # 发送AI请求
        # THUDM/glm-4-9b-chat   google/gemma-2-9b-it
        response = client.chat.completions.create(
            model="THUDM/glm-4-9b-chat",
            messages=messages,
            stream=False,
            temperature=0.8,
        )
        ans = response.choices[0].message.content
    except Exception as e:
        print("硅基模型爆了")
        ans = ""

    return ans

# 根据群聊内近4条消息获取绘画提示词
def AI_get_picprompt(group_id):
    """
    群聊id自动获取群聊记录来获取绘画提示词
    """
    global pro_good
    # 加载聊天记录
    folder_path = '群聊记录'
    file_path = os.path.join(folder_path, str(group_id) + '.csv')
    df = pd.read_csv(file_path)
    recent = ""
    for i in range(len(df) - 4, len(df)):
        recent += str(df.loc[i, 'user_name']) + "：" + str(df.loc[i, 'message']) + "\n"
    messages = [{'role': 'system', 'content': prompt_pic}]
    messages.append({'role': 'user', 'content': recent})

    ans = groq_chat(messages)
    return pro_good + ans.strip().replace("\n", "") + ","


def AI_lora_getpic_prompt(word):
    """
    群聊id自动获取群聊记录来获取绘画提示词
    版本2
    """
    messages = [{'role': 'system', 'content': prompt_lora}]
    messages.append({'role': 'user', 'content': word})
    ans = siliflow_chat(messages).replace(", ", ",")
    return ans.strip().replace("\n", "") + ","