def open_turing_ai_set_file():
'''
用系统文本软件打开 图灵AI设置文件.json
'''
from infoTool.load_Project_Location import get_resourceLocation
location = get_resourceLocation(
) + "/Manager/TalkWidget/Judgement/TuringAI.json"
from controller.system_shell_console import open_or_run
open_or_run({"softwareLocation": location})
def open_command_matching_mapper_file():
'''
用系统文本软件打开 命令匹配mapper.json
'''
from infoTool.load_Project_Location import get_resourceLocation
location = get_resourceLocation(
) + "/Manager/TalkWidget/Judgement/CommandMatchingMapper.json"
from controller.system_shell_console import open_or_run
open_or_run({"softwareLocation": location})
def open_software_mapper_file():
'''
用系统文本软件打开 软件mapper.json
'''
from infoTool.load_Project_Location import get_resourceLocation
location = get_resourceLocation(
) + "/Manager/TalkWidget/SoftwareMapper.json"
from controller.system_shell_console import open_or_run
open_or_run({"softwareLocation": location})
def add_compressed_id(the_id):
'''
添加id到已经被tinyPNG压缩的记录表中
'''
location = get_resourceLocation() + "Manager/Tool/TinyPNG/TinyNote.json"
with open(location, "r") as f:
have_compress_dict = json.load(f)
have_compress_dict[the_id] = 1
with open(location, "w") as f:
json.dump(have_compress_dict, f)
def open_judgement_folder():
'''
打开判断模型文件夹
'''
from infoTool.load_Project_Location import get_resourceLocation
from infoTool.cmd_helper import system_shell
location = get_resourceLocation(
) + "Manager/TalkWidget/Judgement/JudgeModel"
command = "start " + location
system_shell(command)
def is_id_had_compressed(the_id):
'''
检查传入的id是否已经被添加到压缩记录中
'''
location = get_resourceLocation() + "Manager/Tool/TinyPNG/TinyNote.json"
with open(location, "r") as f:
have_compress_dict = json.load(f)
if (have_compress_dict.get(the_id) is None):
return False
else:
return True
def save_command_matching_state():
'''
保存命令匹配状态到文件中
文件路径:/resource/Manager/TalkWidget/Judgement/CommandMatchingMapper.json
'''
from infoTool.load_Project_Location import get_resourceLocation
match_mapper_location = get_resourceLocation(
) + "Manager/TalkWidget/Judgement/CommandMatchingMapper.json"
global matching_dict
with open(match_mapper_location, "w") as f:
json.dump(matching_dict, f, indent=4)
def _loading_matching_dict():
# 读取mapper
from infoTool.load_Project_Location import get_resourceLocation
match_mapper_location = get_resourceLocation(
) + "Manager/TalkWidget/Judgement/CommandMatchingMapper.json"
global matching_dict
try:
with open(match_mapper_location, "r") as f:
matching_dict = json.load(f)
except:
print("读取匹配mapper失败")
def _load_turing_userdata():
'''
读取用户接入数据
'''
global turing_user_info_dict
from infoTool.load_Project_Location import get_resourceLocation
location = get_resourceLocation(
) + "Manager/TalkWidget/Judgement/TuringAI.json"
with open(location, "r") as f:
turing_user_info_dict = json.load(f)
def _load_introduce(judge_key):
'''读取介绍，去resource/Manager/TalkWidget/Text/Introduce/下尝试读取对应txt文件'''
global judge_introduce_dict
from infoTool.load_Project_Location import get_resourceLocation
location = get_resourceLocation(
) + "Manager/TalkWidget/Text/Introduce/" + judge_key + ".txt"
try:
with open(location, "r") as f:
introduce = f.read()
judge_introduce_dict[judge_key] = introduce
except:
introduce = _load_introduce("default")
return introduce
def _load_tinyPNG_api_key():
'''
读取TinyPNG的API_key，API_key需要去官网获取（一个月免费用500次）
'''
global tinypng_api_key
if (tinypng_api_key is not None):
return tinypng_api_key
apikey_file_location = get_resourceLocation(
) + "Manager/Tool/TinyPNG/TinyPNG_api_key.ini"
with open(apikey_file_location, "r") as f:
api_key = f.read()
tinypng_api_key = api_key
return api_key
def scan_FairyXML(reScan=False):
#扫描resource文件夹下的xml，将找到的xml文件路径,保存到CutieXmlDict
# 当再次调用函数，如果不传入True，那么将直接用上次的结果返回
global CutieXmlDict
if (CutieXmlDict is None or reScan == True):
# 获取资源路径下所有xml文件，认为都是Fairy注册文件。
from infoTool.load_Project_Location import get_resourceLocation
location = get_resourceLocation()
from infoTool.scan_file import scan_file
xmlDict = scan_file(location, "xml")
return xmlDict
else: # 当已经扫描过，且未要求再次扫描时。直接返回以前扫描的结果回去
return CutieXmlDict
def _init():
global bot
global ice
print("小冰AI初始化......")
# 设置一个保存登陆账户文件的文件
loacation = get_resourceLocation()+"Manager/TalkWidget/reply/wxpy.pkl"
# 初始化机器人，扫码登陆
bot = Bot(cache_path=loacation)
ice = bot.mps(update=False).search("小冰") # 在公众号里找到小冰
if(len(ice) == 1):
ice = ice[0]
else:
global ice_reply
ice_reply ="尚未关注小冰"
# 注册事件，当接收到来自小冰的信息时，执行，将信息保存
@bot.register(chats=ice)
def print_group_msg(msg):
global ice_reply
if(ice_reply is None):
ice_reply = msg
if(isinstance(ice_reply, str)):
ice_reply = ice_reply + msg
def copy_file_to_resource(source_file_location):
file_name = source_file_location.split("/")[-1]
from infoTool.load_Project_Location import get_resourceLocation
_copy_file(source_file_location, get_resourceLocation() + file_name)
def get_resource_location():
'''
获取资源路径
'''
from infoTool.load_Project_Location import get_resourceLocation
return get_resourceLocation()