import time
from fallback import fallback
from config import simplemodel
from template import xuanxiang
import json
with open('zhaoping_rule', 'r') as f:
    content = f.read()
import json
obj=json.loads(content)
with open('name_label', 'r') as f:
    content = f.read()
import json
name_label=json.loads(content)
baohuceng = ['10-74', '10-75', '10-77', '10-78', '10-80', '10-81', '10-83', '10-84', '10-86', '10-87', '10-90']
from fallback import fallback

def aifilter1(A, #options
       B, #data
       aiclient,
             qwclient,
              sfclient,
             dw):
    options=[]
    letters = "ABCDEFGHIJKLMN"
    for i in range(len(A)):
        options.append("给定选项" + letters[i]+"，内容为"+A[i] )

    completion = aiclient.chat.completions.create(
        model="glm-z1-flash",
        #model="THUDM/GLM-Z1-9B-0414",
        #model="ernie-speed-128k",
        messages=[
            {"role": "system", "content": "You are a helpful assistant."},
            {"role": "user", "content": " 特殊处理要求一：如果工作内容没有提及幕墙，则去掉所有幕墙选项"},
            {"role": "user", "content": " 重要提示：选项指的是给定的A、B、C之类的选项，不是指的工作内容中的可能的1、2、3这样罗列的特征"},
            {"role": "user", "content": " 重要提示：除特殊处理要求提及的内容外，不需考虑选项内容与工作内容是否符合，只需要根据特殊处理要求做出处理"},
            {"role": "user", "content": "问题描述： 给定一段工作内容: " + B['label'] + " " +  B['mc'] + " " + B['tz'] +  "，".join(options) + "。请根据处理要求做出处理，并返回结果, 删除选项必须对应到明确的特殊处理要求，不要擅自删除选项。例如，如果处理完后剩余A,B,C三个选项，请返回[A,B,C]"},
        ],
        extra_body={"thinking": {"type": "disabled"}},
        #extra_body={"enable_thinking": True},
        #stream=True
    )
    #done_thinking = False
    #json_string=""
    #thinking_json_string=""
    #for chunk in completion:
    #    thinking_chunk = chunk.choices[0].delta.reasoning_content
    #    answer_chunk = chunk.choices[0].delta.content
    #    if thinking_chunk != '':
    #        thinking_json_string = thinking_json_string +  thinking_chunk
    #    elif answer_chunk != '':
    #        if not done_thinking:
    #            done_thinking = True
    #        json_string = json_string + answer_chunk
    json_string = completion.choices[0].message.content
    #print(completion.choices[0].message.reasoning_content)
    print(json_string)
    if len([x for x in json_string if x != ',' and x != '[' and x != ']' and x != ' ' and (x < 'A' or x > 'M')]) < 5:
        answer=[]
        if 'A' in json_string and len(A) > 0:
            answer.append(A[0])
        if 'B' in json_string and len(A) > 1:
            answer.append(A[1])
        if 'C' in json_string and len(A) > 2:
            answer.append(A[2])
        if 'D' in json_string and len(A) > 3:
            answer.append(A[3])
        if 'E' in json_string and len(A) > 4:
            answer.append(A[4])
        if 'F' in json_string and len(A) > 5:
            answer.append(A[5])
        if 'G' in json_string and len(A) > 6:
            answer.append(A[6])
        if 'H' in json_string and len(A) > 7:
            answer.append(A[7])
        if 'I' in json_string and len(A) > 8:
            answer.append(A[8])
        if 'J' in json_string and len(A) > 9:
            answer.append(A[9])
        return answer
    completion = sfclient.chat.completions.create(
        #model="glm-4.5-flash",
        model=simplemodel(),
        messages=xuanxiang(json_string),
        extra_body={"thinking": {"type": "disabled"}},
        #extra_body={"enable_thinking": False},
    )
    json_string = completion.choices[0].message.content
    print(json_string)
    answer=[]
    if 'A' in json_string and len(A) > 0:
        answer.append(A[0])
    if 'B' in json_string and len(A) > 1:
        answer.append(A[1])
    if 'C' in json_string and len(A) > 2:
        answer.append(A[2])
    if 'D' in json_string and len(A) > 3:
        answer.append(A[3])
    if 'E' in json_string and len(A) > 4:
        answer.append(A[4])
    if 'F' in json_string and len(A) > 5:
        answer.append(A[5])
    if 'G' in json_string and len(A) > 6:
        answer.append(A[6])
    if 'H' in json_string and len(A) > 7:
        answer.append(A[7])
    if 'I' in json_string and len(A) > 8:
        answer.append(A[8])
    if 'J' in json_string and len(A) > 9:
        answer.append(A[9])
    return answer

def postprocess0115(selected, data, aiclient, qwclient, sfclient, label_name, name_dw, candidates):
    prime = aifilter1(selected, data, aiclient, qwclient, sfclient, name_dw)
    
    return prime