forked from hangshuo652/aurak
feat: implement QuestionBank CRUD with pagination and template query
- Add pagination support to findAll (page, limit query params) - Add findByTemplateId method to service - Add GET /by-template/:templateId endpoint to controller - Service already includes CRUD for QuestionBank and QuestionBankItem
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@@ -0,0 +1,41 @@
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const { createEvaluationGraph } = require('./server/src/assessment/graph/builder');
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const { HumanMessage } = require('@langchain/core/messages');
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async function testGraph() {
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const graph = createEvaluationGraph();
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const config = {
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configurable: {
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thread_id: "test-session",
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model: {
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invoke: async (msgs) => {
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console.log("Mock Model Invoked with:", msgs[0].content);
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if (msgs[0].content.includes("考官")) {
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return { content: JSON.stringify({ score: 9, feedback: "Good job", should_follow_up: false }) };
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}
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if (msgs[0].content.includes("教育顾问")) {
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return { content: "LEVEL: Proficient\nThis is a test report." };
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}
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return { content: JSON.stringify([{ question_text: "Test Question?", key_points: ["A"], difficulty: "Medium", basis: "[1]..." }]) };
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}
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},
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knowledgeBaseContent: "This is test content.",
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language: "zh"
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}
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};
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console.log("--- Starting Session ---");
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let state = await graph.invoke({ messages: [new HumanMessage("Start")] }, config);
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console.log("Interviewer said:", state.messages[state.messages.length - 1].content);
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console.log("Questions length:", state.questions.length);
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console.log("Current Index:", state.currentQuestionIndex);
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console.log("\n--- Submitting Answer ---");
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state = await graph.invoke({ messages: [new HumanMessage("My answer")] }, config);
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console.log("Interviewer said:", state.messages[state.messages.length - 1].content);
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console.log("Current Index:", state.currentQuestionIndex);
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console.log("Report:", state.report);
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}
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// Note: This script needs the environment set up correctly to run.
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// Since I can't easily run it with all dependencies, I'll rely on manual analysis first.
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