锦中融合门户系统

import numpy as np

from sklearn.feature_extraction.text import TfidfVectorizer

from sklearn.svm import LinearSVC

# 示例数据

texts = [

"我想知道今天有哪些课程",

"明天的考试安排是什么时候",

"图书馆的开放时间是多少",

"请帮我查找教务系统",

"我需要申请退课",

"课程表怎么下载"

]

labels = ["课程查询", "考试安排", "图书馆信息", "教务系统", "退课申请", "课程表"]

# 向量化文本

vectorizer = TfidfVectorizer()

X = vectorizer.fit_transform(texts)

# 训练模型

model = LinearSVC()

model.fit(X, labels)

# 测试预测

test_text = "我的课程表什么时候更新"

test_vector = vectorizer.transform([test_text])

predicted_label = model.predict(test_vector)

print("预测意图:", predicted_label[0])

# 安装Rasa

# pip install rasa

# 创建项目

rasa init --no-prompt

# 编辑domain.yml

intents:

- greet

- goodbye

- ask_course_schedule

- ask_exam_time

- ask_library_hours

- ask_tuition_fee

- request_withdrawal

responses:

utter_greet:

- text: "你好！我是校园智能体助手，请问有什么可以帮助你的吗？"

utter_goodbye:

- text: "再见！如果有其他问题，欢迎随时回来咨询。"

utter_course_schedule:

- text: "你可以在教务系统中查看最新的课程安排。"

utter_exam_time:

- text: "考试时间请查看学校官网或教务系统。"

utter_library_hours:

- text: "图书馆的开放时间是每天早上8点到晚上10点。"

utter_tuition_fee:

- text: "学费详情请访问财务处官网或联系财务办公室。"

utter_withdrawal:

- text: "退课申请请登录教务系统并按照流程操作。"

actions:

- action_default_fallback

from flask import Flask, request, jsonify

app = Flask(__name__)

# 模拟课程数据

courses = {

"2024-1": [

{"course": "计算机网络", "time": "周一上午9点"},

{"course": "人工智能", "time": "周三下午3点"}

],

"2024-2": [

{"course": "操作系统", "time": "周二上午10点"},

{"course": "数据库原理", "time": "周五下午2点"}

]

}

@app.route('/api/courses', methods=['GET'])

def get_courses():

semester = request.args.get('semester')

if semester in courses:

return jsonify(courses[semester])

else:

return jsonify({"error": "未找到该学期的课程信息"}), 404

if __name__ == '__main__':

app.run(debug=True)

from rasa_sdk import Action

from rasa_sdk.events import SlotSet

import requests

class ActionGetCourseSchedule(Action):

def name(self):

return "action_get_course_schedule"

async def run(self, dispatcher, tracker, domain):

semester = tracker.get_slot("semester")

response = requests.get(f"http://localhost:5000/api/courses?semester={semester}")

data = response.json()

if "error" in data:

dispatcher.utter_message(text="未找到该学期的课程信息。")

else:

message = "本学期的课程安排如下：\n"

for course in data:

message += f"- {course['course']}：{course['time']}\n"

dispatcher.utter_message(text=message)

return [SlotSet("semester", semester)]