锦中融合门户系统

# 学工助手基础模块

class StudentAssistant:

def __init__(self):

self.students = {}

def add_student(self, student_id, name, major):

self.students[student_id] = {

'name': name,

'major': major,

'requests': []

}

def handle_request(self, student_id, request_type):

if student_id not in self.students:

return "学生不存在"

if request_type == "请假":

self.students[student_id]['requests'].append("请假申请")

return "请假申请已提交"

elif request_type == "成绩查询":

return f"{self.students[student_id]['name']}的成绩为：A"

else:

return "不支持的请求类型"

# 示例使用

assistant = StudentAssistant()

assistant.add_student("S001", "张三", "计算机科学")

print(assistant.handle_request("S001", "请假"))

print(assistant.handle_request("S001", "成绩查询"))

import nltk

from nltk import word_tokenize

class NLPStudentAssistant(StudentAssistant):

def __init__(self):

super().__init__()

self.intent_map = {

"请假": ["请假", "请病假", "请事假"],

"成绩查询": ["成绩", "查成绩", "成绩查询"]

}

def detect_intent(self, user_input):

tokens = word_tokenize(user_input)

for intent, keywords in self.intent_map.items():

if any(keyword in tokens for keyword in keywords):

return intent

return "未知意图"

def handle_request(self, student_id, user_input):

intent = self.detect_intent(user_input)

if intent == "请假":

return "请假申请已提交"

elif intent == "成绩查询":

return f"{self.students[student_id]['name']}的成绩为：A"

else:

return "无法识别您的请求，请重新描述。"

# 示例使用

nlp_assistant = NLPStudentAssistant()

nlp_assistant.add_student("S002", "李四", "软件工程")

print(nlp_assistant.handle_request("S002", "我想查我的成绩"))

print(nlp_assistant.handle_request("S002", "我需要请假"))