v1.0.0 高考志愿门户完整修复
变更摘要: - [fix] 清理根目录 index.html 遗留代码（questionnaire-error + retryLoad 移除） - [fix] 副标题同步更新为自估591分 + 候选志愿546条数据校准 - [fix] 页脚注入版本号 v1.0.0 - [fix] 部署版 index.html: 取消家长标签，统一 filler-tianheng - [fix] Dashboard 文案修正（4份→2份线上问卷） - [fix] 清理冗余部署脚本（v1-v4归档至 archived_scripts/） - [fix] 等效位次工具纳入 deploy 目录 - [chore] .gitignore 初始化 - [init] Git 仓库初始化
This commit is contained in:
@@ -0,0 +1,28 @@
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# ============================================================
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# Flask 后端 Dockerfile
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# 基于 Python 3.12 Alpine（精简镜像，约 50MB）
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# ============================================================
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FROM python:3.12-alpine
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# 设置工作目录
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WORKDIR /app
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# 先复制依赖文件（利用 Docker 缓存层，代码改动时不用重装依赖）
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COPY requirements.txt .
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# 安装 Python 依赖
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# --no-cache-dir: 不缓存 pip 包，减小镜像体积
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RUN pip install --no-cache-dir -r requirements.txt
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# 复制应用代码
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COPY . .
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# 创建数据目录（SQLite 数据库文件存放位置）
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RUN mkdir -p /app/data
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# 暴露端口（Flask 默认 5000）
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EXPOSE 5000
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# 启动命令：初始化数据库 + 启动 Flask
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# waitress-serve 是生产级 WSGI 服务器，比 flask run 更稳定
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CMD ["sh", "-c", "python seed_data.py && python -m flask run --host=0.0.0.0 --port=5000"]
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@@ -0,0 +1,674 @@
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"""
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高考志愿家庭门户 — Flask 后端
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功能: 问卷 API + SQLite 数据存储 + 多成员结果汇总
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数据库表:
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- questionnaires: 问卷定义（标题、描述、题目 JSON）
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- responses: 成员提交的答卷（成员名、问卷ID、答案 JSON、提交时间）
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"""
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import sqlite3
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import json
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import os
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from datetime import datetime, timezone, timedelta
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from flask import Flask, request, jsonify
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from flask_cors import CORS
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# ==================== 应用初始化 ====================
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app = Flask(__name__)
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CORS(app) # 允许前端跨域请求（Nginx 反向代理场景也需要）
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# 数据库路径：挂载卷 /app/data/gaokao.db
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DB_PATH = os.path.join(os.path.dirname(__file__), "data", "gaokao.db")
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# 上海时区
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CST = timezone(timedelta(hours=8))
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def get_db():
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"""获取数据库连接（每次请求新建，自动提交）"""
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conn = sqlite3.connect(DB_PATH)
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conn.row_factory = sqlite3.Row # 让查询结果可以用列名访问
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conn.execute("PRAGMA journal_mode=WAL") # WAL 模式提升并发性能
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conn.execute("PRAGMA foreign_keys=ON")
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return conn
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def init_db():
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"""初始化数据库表（幂等操作——表不存在才创建）"""
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conn = get_db()
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conn.executescript("""
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CREATE TABLE IF NOT EXISTS questionnaires (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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title TEXT NOT NULL, -- 问卷标题
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description TEXT, -- 问卷说明
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questions TEXT NOT NULL, -- 题目列表（JSON 数组）
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target_user TEXT DEFAULT '天恒', -- 目标填写人：天恒 / 父母
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created_at TEXT DEFAULT (datetime('now', 'localtime'))
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);
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CREATE TABLE IF NOT EXISTS responses (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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questionnaire_id INTEGER NOT NULL, -- 关联问卷
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user_name TEXT NOT NULL, -- 填写人姓名（如"爸爸""天恒"）
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answers TEXT NOT NULL, -- 答案（JSON 对象: {题号: 答案}）
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created_at TEXT DEFAULT (datetime('now', 'localtime')),
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FOREIGN KEY (questionnaire_id) REFERENCES questionnaires(id)
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);
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""")
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conn.commit()
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# 迁移：为已有表添加 target_user 列（如果不存在）
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try:
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conn.execute("ALTER TABLE questionnaires ADD COLUMN target_user TEXT DEFAULT '天恒'")
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conn.commit()
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except sqlite3.OperationalError:
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pass # 列已存在
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# 独立测评结果表（霍兰德/MBTI 自评HTML提交）
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conn.executescript("""
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CREATE TABLE IF NOT EXISTS standalone_results (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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test_name TEXT NOT NULL, -- 'holland' 或 'mbti'
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user_name TEXT NOT NULL DEFAULT '天恒',
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result TEXT NOT NULL, -- JSON: 霍兰德三字母代码 或 MBTI四字母类型
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full_data TEXT, -- JSON: 完整结果数据
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created_at TEXT DEFAULT (datetime('now', 'localtime'))
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);
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""")
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conn.close()
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# ==================== API 路由 ====================
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@app.route("/api/health")
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def health():
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"""健康检查（用于确认服务启动成功）"""
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return jsonify({"status": "ok", "time": datetime.now(CST).isoformat()})
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@app.route("/api/questionnaires", methods=["GET"])
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def list_questionnaires():
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"""获取所有问卷列表"""
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conn = get_db()
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rows = conn.execute(
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"SELECT id, title, description, target_user, created_at FROM questionnaires ORDER BY id"
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).fetchall()
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conn.close()
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return jsonify([dict(r) for r in rows])
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@app.route("/api/questionnaire/<int:qid>", methods=["GET"])
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def get_questionnaire(qid):
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"""获取单个问卷的完整内容（含所有题目）"""
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conn = get_db()
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row = conn.execute(
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"SELECT * FROM questionnaires WHERE id = ?", (qid,)
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).fetchone()
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conn.close()
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if not row:
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return jsonify({"error": "问卷不存在"}), 404
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result = dict(row)
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# questions 在数据库中存储为 JSON 字符串，解析后返回
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result["questions"] = json.loads(result["questions"])
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return jsonify(result)
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@app.route("/api/questionnaire/<int:qid>/submit", methods=["POST"])
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def submit_response(qid):
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"""
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提交问卷答案
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请求体 JSON: {"user_name": "爸爸", "answers": {"1": "A", "2": "B", ...}}
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设计考量:
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- 同一用户对同一问卷可以多次提交（保留最新+历史记录）
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- user_name 用于区分不同家庭成员
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"""
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data = request.get_json()
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if not data:
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return jsonify({"error": "请求体为空"}), 400
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user_name = data.get("user_name", "").strip()
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answers = data.get("answers", {})
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if not user_name:
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return jsonify({"error": "请填写您的称呼（如：爸爸、妈妈、天恒）"}), 400
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if not answers:
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return jsonify({"error": "请至少回答一题"}), 400
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# 验证问卷是否存在
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conn = get_db()
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q = conn.execute("SELECT id FROM questionnaires WHERE id = ?", (qid,)).fetchone()
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if not q:
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conn.close()
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return jsonify({"error": "问卷不存在"}), 404
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# 插入答卷（JSON 序列化答案对象）
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conn.execute(
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"INSERT INTO responses (questionnaire_id, user_name, answers) VALUES (?, ?, ?)",
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(qid, user_name, json.dumps(answers, ensure_ascii=False))
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)
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conn.commit()
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conn.close()
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return jsonify({"success": True, "message": f"{user_name} 的答卷已保存"})
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@app.route("/api/results/<int:qid>", methods=["GET"])
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def view_results(qid):
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"""
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查看某问卷的所有答卷（按时间倒序）
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返回包含解析后的 answers 字段
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"""
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conn = get_db()
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rows = conn.execute(
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"""SELECT id, questionnaire_id, user_name, answers, created_at
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FROM responses
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WHERE questionnaire_id = ?
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ORDER BY created_at DESC""",
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(qid,)
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).fetchall()
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conn.close()
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results = []
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for r in rows:
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d = dict(r)
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d["answers"] = json.loads(d["answers"])
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results.append(d)
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return jsonify(results)
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@app.route("/api/results/<int:qid>/summary", methods=["GET"])
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def view_summary(qid):
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"""
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查看某问卷的汇总分析
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对于选择题问卷（如 Holland 评估），按选项计算得分/分布
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对于偏好问卷，展示每个成员的答案对比
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"""
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conn = get_db()
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qrow = conn.execute(
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"SELECT questions FROM questionnaires WHERE id = ?", (qid,)
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).fetchone()
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if not qrow:
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conn.close()
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return jsonify({"error": "问卷不存在"}), 404
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questions = json.loads(qrow["questions"])
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rows = conn.execute(
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"""SELECT user_name, answers, created_at
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FROM responses
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WHERE questionnaire_id = ?
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ORDER BY created_at DESC""",
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(qid,)
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).fetchall()
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conn.close()
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# 构建汇总：每个成员 × 每道题
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members = {}
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for r in rows:
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name = r["user_name"]
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answers = json.loads(r["answers"])
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members[name] = {
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"answers": answers,
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"submitted_at": r["created_at"]
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}
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return jsonify({
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"questionnaire_id": qid,
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"question_count": len(questions),
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"member_count": len(members),
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"members": members
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})
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# ==================== 报告生成 API ====================
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@app.route("/api/report/<int:qid>", methods=["GET"])
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def generate_report(qid):
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"""
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生成问卷分析报告（核心功能）
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- Holland评估：生成六维雷达图数据 + 职业推荐
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- 偏好问卷：生成差异分析 + 共识点
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- 支持导出为后续分析可用的JSON格式
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"""
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conn = get_db()
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qrow = conn.execute(
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"SELECT * FROM questionnaires WHERE id = ?", (qid,)
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).fetchone()
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if not qrow:
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conn.close()
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return jsonify({"error": "问卷不存在"}), 404
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questions = json.loads(qrow["questions"])
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rows = conn.execute(
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"""SELECT user_name, answers, created_at
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FROM responses
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WHERE questionnaire_id = ?
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ORDER BY created_at DESC""",
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(qid,)
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).fetchall()
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conn.close()
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if not rows:
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return jsonify({"error": "暂无答卷数据", "message": "请先填写问卷"}), 400
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# 解析所有答卷
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members = {}
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for r in rows:
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name = r["user_name"]
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answers = json.loads(r["answers"])
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members[name] = {
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"answers": answers,
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"submitted_at": r["created_at"]
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}
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# 根据问卷类型生成报告
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report = {
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"questionnaire_id": qid,
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"questionnaire_title": qrow["title"],
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"generated_at": datetime.now(CST).isoformat(),
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"member_count": len(members),
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"report_type": None,
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"data": {},
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"conclusions": [],
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"next_input": {} # 供后续分析使用的结构化数据
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}
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# Holland 评估报告（问卷ID=1）
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if qid == 1:
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report["report_type"] = "holland"
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report["data"], report["conclusions"], report["next_input"] = _generate_holland_report(members, questions)
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# 院校偏好问卷报告（问卷ID=2）
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elif qid == 2:
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report["report_type"] = "preference"
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report["data"], report["conclusions"], report["next_input"] = _generate_preference_report(members, questions)
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# 家庭期望问卷报告（问卷ID=3）
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elif qid == 3:
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report["report_type"] = "expectation"
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report["data"], report["conclusions"], report["next_input"] = _generate_expectation_report(members, questions)
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else:
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report["report_type"] = "generic"
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report["data"] = {"members": list(members.keys())}
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return jsonify(report)
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def _generate_holland_report(members, questions):
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"""生成 Holland 职业兴趣报告"""
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# RIASEC 六维定义
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riasec_dims = ["R", "I", "A", "S", "E", "C"]
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riasec_names = {
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"R": "现实型", "I": "研究型", "A": "艺术型",
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"S": "社会型", "E": "企业型", "C": "常规型"
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}
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# 计算每个成员的维度得分
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results = {}
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for name, data in members.items():
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answers = data["answers"]
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scores = {dim: 0 for dim in riasec_dims}
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count = {dim: 0 for dim in riasec_dims}
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for q_id, answer in answers.items():
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q_num = int(q_id.replace("q", ""))
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# 题目1-4: R, 5-8: I, 9-12: A, 13-16: S, 17-20: E, 21-24: C
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if 1 <= q_num <= 4:
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dim = "R"
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elif 5 <= q_num <= 8:
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dim = "I"
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elif 9 <= q_num <= 12:
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dim = "A"
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elif 13 <= q_num <= 16:
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dim = "S"
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elif 17 <= q_num <= 20:
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dim = "E"
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else:
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dim = "C"
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scores[dim] += int(answer) if answer.isdigit() else 3
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count[dim] += 1
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# 计算平均分
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avg_scores = {
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dim: round(scores[dim] / count[dim], 1) if count[dim] > 0 else 0
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for dim in riasec_dims
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}
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results[name] = avg_scores
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# 差异分析
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all_dims_avg = {dim: 0 for dim in riasec_dims}
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for dim in riasec_dims:
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total = sum(results[m][dim] for m in results)
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all_dims_avg[dim] = round(total / len(results), 1) if results else 0
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# 职业推荐（取Top3维度）
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conclusions = []
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for name, scores in results.items():
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sorted_dims = sorted(scores.items(), key=lambda x: x[1], reverse=True)
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top3 = [f"{d[0]}({riasec_names[d[0]]}:{d[1]})" for d in sorted_dims[:3]]
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conclusions.append({
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"member": name,
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"top_dims": top3,
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"career_type": "".join([d[0] for d in sorted_dims[:3]])
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})
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# 后续分析输入
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next_input = {
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"holland_code": conclusions[0]["career_type"] if conclusions else "",
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"primary_type": riasec_names.get(conclusions[0]["career_type"][0], "") if conclusions else "",
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"dimension_scores": results,
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"family_avg": all_dims_avg
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}
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return {"dimension_scores": results, "family_avg": all_dims_avg}, conclusions, next_input
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def _generate_preference_report(members, questions):
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"""生成院校偏好报告"""
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# 分析每个问题的答案分布
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question_analysis = {}
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for q_id, data in members.items():
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answers = data["answers"]
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for q, ans in answers.items():
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if q not in question_analysis:
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question_analysis[q] = {}
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question_analysis[q][q_id] = ans
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# 差异点识别
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conflicts = []
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consensus = []
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for q, ans_dict in question_analysis.items():
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unique_ans = set(ans_dict.values())
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if len(unique_ans) > 1:
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conflicts.append({"question": q, "answers": ans_dict})
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else:
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consensus.append({"question": q, "answer": list(unique_ans)[0]})
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conclusions = [
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{"type": "conflict", "count": len(conflicts), "details": conflicts[:3]},
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||||
{"type": "consensus", "count": len(consensus), "details": consensus[:3]}
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||||
]
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||||
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||||
# 后续分析输入
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||||
next_input = {
|
||||
"conflict_count": len(conflicts),
|
||||
"consensus_count": len(consensus),
|
||||
"key_conflicts": [c["question"] for c in conflicts[:3]]
|
||||
}
|
||||
|
||||
return {"conflicts": conflicts, "consensus": consensus}, conclusions, next_input
|
||||
|
||||
|
||||
def _generate_expectation_report(members, questions):
|
||||
"""生成家庭期望对齐报告"""
|
||||
# 类似偏好报告，但强调开放式问题
|
||||
text_answers = {}
|
||||
choice_answers = {}
|
||||
|
||||
for name, data in members.items():
|
||||
answers = data["answers"]
|
||||
for q, ans in answers.items():
|
||||
if len(str(ans)) > 50: # 开放式长文本
|
||||
text_answers.setdefault(q, {})[name] = ans
|
||||
else:
|
||||
choice_answers.setdefault(q, {})[name] = ans
|
||||
|
||||
# 核心差异
|
||||
conflicts = []
|
||||
for q, ans_dict in choice_answers.items():
|
||||
if len(set(ans_dict.values())) > 1:
|
||||
conflicts.append({"question": q, "answers": ans_dict})
|
||||
|
||||
conclusions = [
|
||||
{"type": "text_response", "count": len(text_answers)},
|
||||
{"type": "choice_conflict", "count": len(conflicts), "details": conflicts[:3]}
|
||||
]
|
||||
|
||||
next_input = {
|
||||
"text_count": len(text_answers),
|
||||
"choice_conflicts": len(conflicts),
|
||||
"requires_discussion": [c["question"] for c in conflicts[:3]]
|
||||
}
|
||||
|
||||
return {"text": text_answers, "choices": choice_answers}, conclusions, next_input
|
||||
|
||||
|
||||
@app.route("/api/export/<int:qid>", methods=["GET"])
|
||||
def export_report(qid):
|
||||
"""
|
||||
导出报告为JSON（供后续分析使用）
|
||||
"""
|
||||
import io
|
||||
conn = get_db()
|
||||
qrow = conn.execute("SELECT * FROM questionnaires WHERE id = ?", (qid,)).fetchone()
|
||||
if not qrow:
|
||||
conn.close()
|
||||
return jsonify({"error": "问卷不存在"}), 404
|
||||
|
||||
rows = conn.execute(
|
||||
"SELECT user_name, answers, created_at FROM responses WHERE questionnaire_id = ?",
|
||||
(qid,)
|
||||
).fetchall()
|
||||
conn.close()
|
||||
|
||||
members = {}
|
||||
for r in rows:
|
||||
members[r["user_name"]] = {
|
||||
"answers": json.loads(r["answers"]),
|
||||
"submitted_at": r["created_at"]
|
||||
}
|
||||
|
||||
# 导出结构
|
||||
export_data = {
|
||||
"questionnaire": dict(qrow),
|
||||
"responses": members,
|
||||
"exported_at": datetime.now(CST).isoformat(),
|
||||
"version": "1.0"
|
||||
}
|
||||
|
||||
# 返回JSON下载
|
||||
return jsonify(export_data)
|
||||
|
||||
|
||||
# ==================== 独立测评提交 API（霍兰德/MBTI） ====================
|
||||
|
||||
@app.route("/api/standalone/submit", methods=["POST"])
|
||||
def submit_standalone():
|
||||
"""
|
||||
接收独立HTML自评测试的结果提交
|
||||
请求体 JSON: {"test_name": "holland", "user_name": "天恒", "result": "RIC", "full_data": {...}}
|
||||
"""
|
||||
data = request.get_json()
|
||||
if not data:
|
||||
return jsonify({"error": "请求体为空"}), 400
|
||||
|
||||
test_name = data.get("test_name", "").strip()
|
||||
user_name = data.get("user_name", "天恒").strip()
|
||||
result = data.get("result", "").strip()
|
||||
full_data = data.get("full_data", {})
|
||||
|
||||
if test_name not in ("holland", "mbti"):
|
||||
return jsonify({"error": "test_name 必须为 holland 或 mbti"}), 400
|
||||
if not result:
|
||||
return jsonify({"error": "请提供 result"}), 400
|
||||
|
||||
conn = get_db()
|
||||
# 同一用户同一测试的最新结果（替换旧结果）
|
||||
conn.execute(
|
||||
"INSERT INTO standalone_results (test_name, user_name, result, full_data) VALUES (?, ?, ?, ?)",
|
||||
(test_name, user_name, result, json.dumps(full_data, ensure_ascii=False))
|
||||
)
|
||||
conn.commit()
|
||||
conn.close()
|
||||
|
||||
return jsonify({"success": True, "message": f"{test_name} 结果已保存"})
|
||||
|
||||
|
||||
@app.route("/api/standalone/status", methods=["GET"])
|
||||
def standalone_status():
|
||||
"""查询独立测评完成状态"""
|
||||
conn = get_db()
|
||||
rows = conn.execute(
|
||||
"""SELECT test_name, user_name, result, created_at
|
||||
FROM standalone_results
|
||||
ORDER BY created_at DESC"""
|
||||
).fetchall()
|
||||
conn.close()
|
||||
|
||||
status = {"holland": None, "mbti": None}
|
||||
for r in rows:
|
||||
name = r["test_name"]
|
||||
if status[name] is None: # 取最新一条
|
||||
status[name] = {
|
||||
"completed": True,
|
||||
"user_name": r["user_name"],
|
||||
"result": r["result"],
|
||||
"completed_at": r["created_at"]
|
||||
}
|
||||
|
||||
for k in status:
|
||||
if status[k] is None:
|
||||
status[k] = {"completed": False}
|
||||
|
||||
return jsonify(status)
|
||||
|
||||
|
||||
# ==================== 完成状态总览 API ====================
|
||||
|
||||
@app.route("/api/completion-status", methods=["GET"])
|
||||
def completion_status():
|
||||
"""
|
||||
返回所有6个测评的完成状态总览
|
||||
"""
|
||||
conn = get_db()
|
||||
|
||||
# 1. 4份API问卷状态
|
||||
q_rows = conn.execute(
|
||||
"""SELECT q.id, q.title, q.target_user,
|
||||
(SELECT COUNT(*) FROM responses r WHERE r.questionnaire_id = q.id) as response_count
|
||||
FROM questionnaires q
|
||||
ORDER BY q.id"""
|
||||
).fetchall()
|
||||
|
||||
questionnaires_status = []
|
||||
for qr in q_rows:
|
||||
q = dict(qr)
|
||||
# 取最新答卷人
|
||||
latest = conn.execute(
|
||||
"SELECT user_name, created_at FROM responses WHERE questionnaire_id = ? ORDER BY created_at DESC LIMIT 1",
|
||||
(q["id"],)
|
||||
).fetchone()
|
||||
q["latest_respondent"] = dict(latest) if latest else None
|
||||
q["completed"] = q["response_count"] > 0
|
||||
questionnaires_status.append(q)
|
||||
|
||||
# 2. 独立测评状态
|
||||
standalone_rows = conn.execute(
|
||||
"""SELECT test_name, user_name, result, created_at
|
||||
FROM standalone_results
|
||||
ORDER BY created_at DESC"""
|
||||
).fetchall()
|
||||
|
||||
standalone = {"holland": {"completed": False}, "mbti": {"completed": False}}
|
||||
for r in standalone_rows:
|
||||
name = r["test_name"]
|
||||
if not standalone[name]["completed"]:
|
||||
standalone[name] = {
|
||||
"completed": True,
|
||||
"user_name": r["user_name"],
|
||||
"result": r["result"],
|
||||
"completed_at": r["created_at"]
|
||||
}
|
||||
|
||||
conn.close()
|
||||
|
||||
# 3. 汇总统计
|
||||
api_completed = sum(1 for q in questionnaires_status if q["completed"])
|
||||
standalone_completed = sum(1 for s in standalone.values() if s["completed"])
|
||||
total = 6 # 4 API + 2 standalone
|
||||
all_completed = (api_completed + standalone_completed) == total
|
||||
|
||||
return jsonify({
|
||||
"total": total,
|
||||
"completed_count": api_completed + standalone_completed,
|
||||
"all_completed": all_completed,
|
||||
"questionnaires": questionnaires_status,
|
||||
"standalone": standalone,
|
||||
"updated_at": datetime.now(CST).isoformat()
|
||||
})
|
||||
|
||||
|
||||
# ==================== 汇总报告 API ====================
|
||||
|
||||
@app.route("/api/summary", methods=["GET"])
|
||||
def generate_summary():
|
||||
"""
|
||||
汇总所有已完成问卷和测评的结果，生成可下载的结构化数据
|
||||
"""
|
||||
conn = get_db()
|
||||
|
||||
# API问卷结果
|
||||
q_rows = conn.execute(
|
||||
"""SELECT q.id, q.title, q.target_user, q.description
|
||||
FROM questionnaires q ORDER BY q.id"""
|
||||
).fetchall()
|
||||
|
||||
questionnaires = []
|
||||
for qr in q_rows:
|
||||
q = dict(qr)
|
||||
responses = conn.execute(
|
||||
"SELECT user_name, answers, created_at FROM responses WHERE questionnaire_id = ? ORDER BY created_at DESC",
|
||||
(q["id"],)
|
||||
).fetchall()
|
||||
q["responses"] = []
|
||||
for r in responses:
|
||||
rd = dict(r)
|
||||
rd["answers"] = json.loads(rd["answers"])
|
||||
q["responses"].append(rd)
|
||||
questionnaires.append(q)
|
||||
|
||||
# 独立测评结果
|
||||
standalone_rows = conn.execute(
|
||||
"""SELECT test_name, user_name, result, full_data, created_at
|
||||
FROM standalone_results ORDER BY created_at DESC"""
|
||||
).fetchall()
|
||||
|
||||
standalone = {"holland": None, "mbti": None}
|
||||
for r in standalone_rows:
|
||||
name = r["test_name"]
|
||||
if standalone[name] is None:
|
||||
standalone[name] = {
|
||||
"user_name": r["user_name"],
|
||||
"result": r["result"],
|
||||
"full_data": json.loads(r["full_data"]) if r["full_data"] else {},
|
||||
"completed_at": r["created_at"]
|
||||
}
|
||||
|
||||
conn.close()
|
||||
|
||||
# 完成统计
|
||||
q_completed = sum(1 for q in questionnaires if len(q["responses"]) > 0)
|
||||
s_completed = sum(1 for v in standalone.values() if v is not None)
|
||||
|
||||
return jsonify({
|
||||
"generated_at": datetime.now(CST).isoformat(),
|
||||
"status": {
|
||||
"total": 6,
|
||||
"completed": q_completed + s_completed,
|
||||
"questionnaires_done": q_completed,
|
||||
"standalone_done": s_completed
|
||||
},
|
||||
"questionnaires": questionnaires,
|
||||
"standalone_tests": standalone,
|
||||
"note": "此数据可用于生成志愿填报分析报告。如独立测评（霍兰德/MBTI）未提交，请通过测试页面的提交按钮上传结果。"
|
||||
})
|
||||
|
||||
|
||||
# ==================== 启动入口 ====================
|
||||
if __name__ == "__main__":
|
||||
init_db()
|
||||
# Flask 开发服务器，生产环境建议用 gunicorn（但 Alpine + 轻量场景 flask run 足够）
|
||||
app.run(host="0.0.0.0", port=5000, debug=False)
|
||||
@@ -0,0 +1,2 @@
|
||||
flask==3.1.0
|
||||
flask-cors==5.0.1
|
||||
@@ -0,0 +1,384 @@
|
||||
"""
|
||||
问卷种子数据 — 首次启动时自动初始化
|
||||
重新设计：开放式问题，不预设立场，不提具体专业名
|
||||
"""
|
||||
import sqlite3
|
||||
import json
|
||||
import os
|
||||
|
||||
DB_PATH = os.path.join(os.path.dirname(__file__), "data", "gaokao.db")
|
||||
|
||||
|
||||
def seed():
|
||||
conn = sqlite3.connect(DB_PATH)
|
||||
conn.execute("PRAGMA journal_mode=WAL")
|
||||
conn.execute("PRAGMA foreign_keys=ON")
|
||||
|
||||
# 初始化表结构
|
||||
conn.executescript("""
|
||||
CREATE TABLE IF NOT EXISTS questionnaires (
|
||||
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
||||
title TEXT NOT NULL,
|
||||
description TEXT,
|
||||
questions TEXT NOT NULL,
|
||||
target_user TEXT DEFAULT '天恒',
|
||||
created_at TEXT DEFAULT (datetime('now', 'localtime'))
|
||||
);
|
||||
CREATE TABLE IF NOT EXISTS responses (
|
||||
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
||||
questionnaire_id INTEGER NOT NULL,
|
||||
user_name TEXT NOT NULL,
|
||||
answers TEXT NOT NULL,
|
||||
created_at TEXT DEFAULT (datetime('now', 'localtime')),
|
||||
FOREIGN KEY (questionnaire_id) REFERENCES questionnaires(id)
|
||||
);
|
||||
""")
|
||||
|
||||
# 迁移：为已有表添加 target_user 列（如果不存在）
|
||||
try:
|
||||
conn.execute("ALTER TABLE questionnaires ADD COLUMN target_user TEXT DEFAULT '天恒'")
|
||||
conn.commit()
|
||||
except sqlite3.OperationalError:
|
||||
pass # 列已存在
|
||||
|
||||
# 检查是否已有问卷数据（幂等：不重复插入）
|
||||
existing = conn.execute("SELECT COUNT(*) FROM questionnaires").fetchone()[0]
|
||||
if existing > 0:
|
||||
print(f"[seed] 问卷已存在（{existing}份），跳过初始化")
|
||||
conn.close()
|
||||
return
|
||||
|
||||
# ================================================================
|
||||
# 问卷1: 综合兴趣和偏好问卷（合并版）
|
||||
# 将原"职业兴趣体验问卷"+"性格与行为模式问卷"+"院校偏好问卷"合并为一份
|
||||
# 内分三个分区，带分区标题
|
||||
# ================================================================
|
||||
merged_qs = [
|
||||
# ---- 第一分区：职业兴趣体验 ----
|
||||
{"id": "SEC1", "type": "section", "title": "第一分区：职业兴趣体验",
|
||||
"desc": "以下问题没有标准答案，请根据你的真实感受和经历回答，不需要考虑应该怎么回答，只描述你最真实的想法。"},
|
||||
|
||||
{"id": "E1", "text": "做什么事情的时候，你会觉得时间过得特别快？",
|
||||
"type": "text", "placeholder": "比如：写代码、设计海报、打游戏、和朋友聊天..."},
|
||||
{"id": "E2", "text": "当你完成了一件很有挑战性的事情，你通常是什么感受？",
|
||||
"type": "text", "placeholder": "比如：很有成就感、想再挑战更高的、没什么特别..."},
|
||||
{"id": "E3", "text": "如果让你连续做同一件事10个小时，你最不可能选择做什么？",
|
||||
"type": "text", "placeholder": "写下你不会做的事情..."},
|
||||
{"id": "C1", "text": "在团队合作中，你通常扮演什么角色？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "我来做决定，大家听我的"},
|
||||
{"value": "B", "label": "我听大家的，协调配合"},
|
||||
{"value": "C", "label": "我负责具体执行"},
|
||||
{"value": "D", "label": "我负责发现问题，提醒大家"},
|
||||
{"value": "E", "label": "看情况，不一定"},
|
||||
]},
|
||||
{"id": "C2", "text": "你更倾向于独立工作还是团队协作？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "独立完成，更有掌控感"},
|
||||
{"value": "B", "label": "团队协作，分工合作"},
|
||||
{"value": "C", "label": "两者都可以，看任务性质"},
|
||||
]},
|
||||
{"id": "S1", "text": "什么事情做得好会让你觉得自己很厉害？",
|
||||
"type": "text", "placeholder": "比如：解出一道难题、完成一个作品..."},
|
||||
{"id": "S2", "text": "什么东西没做好会让你想放弃？",
|
||||
"type": "text", "placeholder": "比如：反复失败、被人否定、看不到进步..."},
|
||||
{"id": "L1", "text": "学习新东西时，你更习惯于？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "先看教程/文档，搞懂原理再动手"},
|
||||
{"value": "B", "label": "直接动手做，遇到问题再查"},
|
||||
{"value": "C", "label": "有人教我，带着我做"},
|
||||
{"value": "D", "label": "边做边学，一起进行"},
|
||||
]},
|
||||
{"id": "L2", "text": "面对一个完全陌生的事物，你会怎么做？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "先搜索相关资料，全面了解"},
|
||||
{"value": "B", "label": "直接尝试，不懂就问"},
|
||||
{"value": "C", "label": "找有经验的人带路"},
|
||||
{"value": "D", "label": "先观望，等别人先试"},
|
||||
]},
|
||||
{"id": "W1", "text": "你理想中最完美的一天是什么样的？",
|
||||
"type": "text", "placeholder": "描述你理想的一天..."},
|
||||
{"id": "W2", "text": "你更看重工作/学习的哪个方面？",
|
||||
"type": "multiple",
|
||||
"options": [
|
||||
{"value": "A", "label": "有挑战，能成长"},
|
||||
{"value": "B", "label": "有成就感，被认可"},
|
||||
{"value": "C", "label": "能发挥创意"},
|
||||
{"value": "D", "label": "稳定，不担心失业"},
|
||||
{"value": "E", "label": "收入高"},
|
||||
{"value": "F", "label": "时间灵活"},
|
||||
]},
|
||||
|
||||
# ---- 第二分区：性格与行为模式 ----
|
||||
{"id": "SEC2", "type": "section", "title": "第二分区：性格与行为模式",
|
||||
"desc": "以下问题了解你在日常生活中的行为偏好，没有好坏对错之分，请如实选择最符合你实际情况的选项。"},
|
||||
|
||||
{"id": "B1", "text": "在社交场合中，你的能量通常从哪里来？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "和很多人在一起，聊天交流"},
|
||||
{"value": "B", "label": "独处，安静思考"},
|
||||
{"value": "C", "label": "看情况，有时喜欢热闹有时喜欢安静"},
|
||||
]},
|
||||
{"id": "B2", "text": "做重要决定时，你通常会？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "和很多人讨论后再决定"},
|
||||
{"value": "B", "label": "自己仔细想清楚再决定"},
|
||||
{"value": "C", "label": "凭直觉，先做了再说"},
|
||||
]},
|
||||
{"id": "B3", "text": "你更容易注意到事物的哪些方面？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "具体的事实和细节"},
|
||||
{"value": "B", "label": "整体的可能性和想象力"},
|
||||
{"value": "C", "label": "两者差不多"},
|
||||
]},
|
||||
{"id": "B4", "text": "描述一个你经历过的事情，你通常会？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "详细还原过程和细节"},
|
||||
{"value": "B", "label": "讲重点和感受，略过细节"},
|
||||
{"value": "C", "label": "加入自己的理解和联想"},
|
||||
]},
|
||||
{"id": "B5", "text": "当你和别人的观点不同，你会怎么做？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "坚持我的观点，给出逻辑理由"},
|
||||
{"value": "B", "label": "考虑对方的感受，寻求共识"},
|
||||
{"value": "C", "label": "看谁的理由更充分"},
|
||||
{"value": "D", "label": "先听大家的，之后再决定"},
|
||||
]},
|
||||
{"id": "B6", "text": "你更容易被什么说服？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "数据和逻辑分析"},
|
||||
{"value": "B", "label": "情感故事和共情"},
|
||||
{"value": "C", "label": "实际案例和效果"},
|
||||
{"value": "D", "label": "权威人士的意见"},
|
||||
]},
|
||||
{"id": "B7", "text": "你更喜欢什么样的计划？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "提前做好计划，按部就班"},
|
||||
{"value": "B", "label": "有个大概方向，灵活调整"},
|
||||
{"value": "C", "label": "不做计划，随机应变"},
|
||||
]},
|
||||
{"id": "B8", "text": "面对截止日期，你通常会？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "提前完成，避免意外"},
|
||||
{"value": "B", "label": "最后几天集中完成"},
|
||||
{"value": "C", "label": "截止前一晚通宵搞定"},
|
||||
{"value": "D", "label": "通常会拖到截止后"},
|
||||
]},
|
||||
{"id": "B9", "text": "你通常如何认识新朋友？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "主动搭话，主动组织活动"},
|
||||
{"value": "B", "label": "等别人来认识我"},
|
||||
{"value": "C", "label": "通过共同朋友介绍"},
|
||||
{"value": "D", "label": "在共同活动中自然认识"},
|
||||
]},
|
||||
{"id": "B10", "text": "当你遇到问题时，你通常会找谁？",
|
||||
"type": "multiple",
|
||||
"options": [
|
||||
{"value": "A", "label": "自己想办法解决"},
|
||||
{"value": "B", "label": "找父母或家人"},
|
||||
{"value": "C", "label": "找朋友帮忙"},
|
||||
{"value": "D", "label": "上网搜索答案"},
|
||||
{"value": "E", "label": "找老师或权威人士"},
|
||||
]},
|
||||
|
||||
# ---- 第三分区：院校偏好 ----
|
||||
{"id": "SEC3", "type": "section", "title": "第三分区：院校偏好与未来规划",
|
||||
"desc": "以下问题了解你对大学和未来的想法。没有对错，请选择最贴近你真实想法的选项。"},
|
||||
|
||||
{"id": "SCH1", "text": "你更倾向于在哪类城市上大学？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "杭州/宁波等省内大城市"},
|
||||
{"value": "B", "label": "省内其他城市（温州/嘉兴/台州等）"},
|
||||
{"value": "C", "label": "省外一线城市（北京/上海/广州/深圳）"},
|
||||
{"value": "D", "label": "省外新一线或二线城市（成都/武汉/西安等）"},
|
||||
{"value": "E", "label": "哪里都行，不挑城市"},
|
||||
]},
|
||||
{"id": "SCH2", "text": "对离家距离的接受度？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "最好省内，周末能回家"},
|
||||
{"value": "B", "label": "江浙沪范围内就行，小长假能回"},
|
||||
{"value": "C", "label": "全国都行，寒暑假回一次就够了"},
|
||||
{"value": "D", "label": "越远越好，想看看外面的世界"},
|
||||
]},
|
||||
{"id": "SCH3", "text": "学校层次 vs 专业实力，怎么选？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "优先学校牌子（985/211/双一流光环）"},
|
||||
{"value": "B", "label": "优先专业实力（哪怕学校名气差一点）"},
|
||||
{"value": "C", "label": "两者兼顾，取中间值"},
|
||||
{"value": "D", "label": "无所谓，看缘分"},
|
||||
]},
|
||||
{"id": "SCH4", "text": "用一个词或一句话描述你感兴趣的方向（可以天马行空）：",
|
||||
"type": "text",
|
||||
"placeholder": "比如：做游戏、设计产品、搞技术、研究 AI..."},
|
||||
{"id": "SCH5", "text": "你为什么对这个方向感兴趣？",
|
||||
"type": "text",
|
||||
"placeholder": "可以是你的经历、性格、或者单纯的喜欢..."},
|
||||
{"id": "SCH6", "text": "对大学教学方式的偏好？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "小班制+项目制+导师制（像工作室一样）"},
|
||||
{"value": "B", "label": "大班理论课为主也可以接受"},
|
||||
{"value": "C", "label": "无所谓，能学到东西就行"},
|
||||
]},
|
||||
{"id": "SCH7", "text": "对学费的承受范围？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "公办普通学费（5000~8000/年）"},
|
||||
{"value": "B", "label": "可以接受稍高（1~3万/年）"},
|
||||
{"value": "C", "label": "中外合作也可考虑（4~8万/年）"},
|
||||
]},
|
||||
{"id": "SCH8", "text": "大学毕业后第一优先级是？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "直接就业，尽快经济独立"},
|
||||
{"value": "B", "label": "考研深造，提升学历"},
|
||||
{"value": "C", "label": "考公/考编，追求稳定"},
|
||||
{"value": "D", "label": "还没想好"},
|
||||
]},
|
||||
{"id": "SCH9", "text": "你对大学校园氛围的偏好？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "学术氛围浓厚，图书馆经常找不到座位"},
|
||||
{"value": "B", "label": "创新创业活跃，社团和比赛多"},
|
||||
{"value": "C", "label": "文艺气息重，艺术展演和创作空间多"},
|
||||
{"value": "D", "label": "轻松自在就行，不要太大压力"},
|
||||
]},
|
||||
{"id": "SCH10", "text": "你对未来的薪资预期（毕业5年内）？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "8~12万/年，能养活自己就行"},
|
||||
{"value": "B", "label": "12~20万/年，中等偏上"},
|
||||
{"value": "C", "label": "20万+/年，越高越好"},
|
||||
{"value": "D", "label": "没概念，不太关心"},
|
||||
]},
|
||||
]
|
||||
|
||||
# ================================================================
|
||||
# 问卷2: 家庭期望对齐问卷（去掉具体专业名）
|
||||
# 只问抽象的期望，不预设任何方向
|
||||
# ================================================================
|
||||
family_qs = [
|
||||
{
|
||||
"id": "F1", "text": "你认为天恒大学毕业后最理想的去向是？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "在杭州/宁波就业，离家近"},
|
||||
{"value": "B", "label": "去一线城市闯一闯"},
|
||||
{"value": "C", "label": "考研/深造后再决定"},
|
||||
{"value": "D", "label": "尊重天恒自己的选择"},
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "F2", "text": "天恒现在感兴趣的方向，你了解多少？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "非常了解，经常和他讨论"},
|
||||
{"value": "B", "label": "大概知道，但不深入"},
|
||||
{"value": "C", "label": "不太清楚，他没说过"},
|
||||
{"value": "D", "label": "他感兴趣的方向我不太支持"},
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "F3", "text": "你对'好工作'的核心定义是？（选最重要的1~2个）",
|
||||
"type": "multiple",
|
||||
"options": [
|
||||
{"value": "A", "label": "收入高"},
|
||||
{"value": "B", "label": "稳定（不容易失业）"},
|
||||
{"value": "C", "label": "天恒做得开心、有成就感"},
|
||||
{"value": "D", "label": "有社会地位、体面"},
|
||||
{"value": "E", "label": "有成长空间，能不断提升"},
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "F4", "text": "如果中外合作办学（学费4~8万/年）是找到好专业的最佳途径，你支持吗？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "支持，教育投资值得"},
|
||||
{"value": "B", "label": "可以考虑，但要看具体项目和回报"},
|
||||
{"value": "C", "label": "经济压力大，尽量不选"},
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "F5", "text": "你认为天恒最大的优势是什么？（选1~2个）",
|
||||
"type": "multiple",
|
||||
"options": [
|
||||
{"value": "A", "label": "创造力强，有艺术感觉"},
|
||||
{"value": "B", "label": "社交能力强，能搞定人际关系"},
|
||||
{"value": "C", "label": "动手实践能力强"},
|
||||
{"value": "D", "label": "逻辑思维好，数理基础扎实"},
|
||||
{"value": "E", "label": "有主见，知道自己要什么"},
|
||||
{"value": "F", "label": "适应能力强，什么环境都能活"},
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "F6", "text": "你最担心天恒大学生涯可能出什么问题？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "对专业失去兴趣，混日子"},
|
||||
{"value": "B", "label": "沉迷游戏或其他娱乐，荒废学业"},
|
||||
{"value": "C", "label": "社交孤立或不适应集体生活"},
|
||||
{"value": "D", "label": "毕业找不到工作"},
|
||||
{"value": "E", "label": "不太担心，相信他能搞定"},
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "F7", "text": "志愿填报时，你认为最终决定权应该？",
|
||||
"type": "single",
|
||||
"options": [
|
||||
{"value": "A", "label": "天恒自己决定，父母只提供信息"},
|
||||
{"value": "B", "label": "全家协商，共同决策"},
|
||||
{"value": "C", "label": "父母有最终否决权"},
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "F8", "text": "用一句话描述你对天恒大学四年的期望：",
|
||||
"type": "text",
|
||||
"placeholder": "请输入你的期望...",
|
||||
},
|
||||
]
|
||||
|
||||
# ---------- 插入数据 ----------
|
||||
questionnaires = [
|
||||
{
|
||||
"title": "综合兴趣和偏好问卷",
|
||||
"description": "合并了职业兴趣体验、性格行为模式和院校偏好三大板块，一份问卷全面了解天恒的个人画像。含3个分区共31题，完成时间约15分钟。",
|
||||
"questions": json.dumps(merged_qs, ensure_ascii=False),
|
||||
"target_user": "天恒"
|
||||
},
|
||||
{
|
||||
"title": "家庭期望对齐问卷",
|
||||
"description": "请每位家庭成员独立填写，表达你对天恒大学生涯的真实想法。去掉预设的专业立场，只聊最真实的期望。完成后可以查看汇总，发现家人之间的共同点和差异点。",
|
||||
"questions": json.dumps(family_qs, ensure_ascii=False),
|
||||
"target_user": "父母"
|
||||
},
|
||||
]
|
||||
|
||||
for q in questionnaires:
|
||||
conn.execute(
|
||||
"INSERT INTO questionnaires (title, description, questions, target_user) VALUES (?, ?, ?, ?)",
|
||||
(q["title"], q["description"], q["questions"], q["target_user"])
|
||||
)
|
||||
|
||||
conn.commit()
|
||||
conn.close()
|
||||
print(f"[seed] 已初始化 {len(questionnaires)} 份开放式问卷")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
seed()
|
||||
Reference in New Issue
Block a user