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https://github.com/KingHWJ/WeReadBoard.git
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feat: init weread data dashboard
- 数据采集脚本 fetch_data.py:从微信读书 API 拉取书架、阅读统计、笔记数据存入 SQLite - Flask 后端 app.py:提供 8 个 API 接口(总览、年度趋势、读书排行、偏好分类、偏好作者、时段分布、书架、笔记) - 前端页面:ECharts 图表(年度趋势、时段分布、分类饼图、作者排行)、书架网格、笔记概览 - 数据规模:404 本书架、339 小时阅读、304 天阅读、1709 条笔记
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# Python
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__pycache__/
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*.py[cod]
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*$py.class
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*.so
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.Python
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venv/
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env/
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.venv
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# Database
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*.db
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*.db-journal
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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# OS
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.DS_Store
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Thumbs.db
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# Logs
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*.log
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# Env
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.env
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# 2026-07-17 工作日志
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## 微信读书数据展示网站
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- 使用微信读书 API(weread-skills)拉取用户的阅读数据
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- 数据采集脚本 `fetch_data.py`:拉取书架(404本)、阅读统计(overall+annually)、笔记本(32本1709条笔记)数据,存入本地 SQLite 数据库 `weread.db`
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- Flask 后端 `app.py`(端口 8080),提供 8 个 API 接口:overview, yearly-trend, top-books, categories, authors, time-distribution, shelf, notebooks
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- 前端页面:ECharts 图表(年度趋势柱状图、24h时段折线图、分类饼图、作者排行条形图)、书架网格(分页+筛选)、笔记概览
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- 数据规模:累计阅读 339 小时 57 分钟、304 天阅读、404 本书架藏书、1709 条笔记
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- 技术栈:Python Flask + SQLite + ECharts + 原生 HTML/CSS/JS
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# 微信读书数据展示网站
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基于微信读书 API 的个人读书数据展示网站,数据存储在本地 SQLite 数据库中。
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## 项目结构
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```
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.
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├── fetch_data.py # 数据采集脚本(从微信读书 API 拉取数据到 SQLite)
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├── app.py # Flask 后端服务
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├── weread.db # SQLite 数据库(运行 fetch_data.py 后生成)
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├── requirements.txt # Python 依赖
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├── templates/
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│ └── index.html # 前端页面
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└── static/
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├── css/style.css # 样式文件
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└── js/app.js # 前端逻辑
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```
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## 快速开始
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### 1. 设置环境变量
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```bash
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export WEREAD_API_KEY=wrk-xxxxxxxx # 你的微信读书 API Key
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```
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### 2. 安装依赖
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```bash
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pip install -r requirements.txt
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```
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### 3. 采集数据
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```bash
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python fetch_data.py
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```
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将拉取书架、阅读统计、笔记等数据并存入 `weread.db`。
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### 4. 启动网站
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```bash
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python app.py
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```
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访问 http://127.0.0.1:8080 即可查看读书数据展示。
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## 功能模块
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| 模块 | 说明 |
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|------|------|
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| 总览仪表盘 | 累计阅读时长、阅读天数、书架藏书数、笔记总数 |
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| 年度趋势图 | 各年度阅读时长柱状图 |
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| 时段分布 | 24 小时阅读时段分布折线图 |
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| 偏好分类 | 阅读分类占比饼图 |
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| 偏好作者 | 阅读最多的作者排行 |
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| 读书排行 | 阅读时长最久的书籍 TOP 20 |
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| 书架 | 全部书架书籍展示,支持分类筛选和已读完筛选 |
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| 笔记概览 | 有笔记的书籍及划线/想法/书签统计 |
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## 数据库表结构
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| 表名 | 说明 |
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|------|------|
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| books | 书架书籍信息 |
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| reading_stats | 阅读统计概要(overall/annually) |
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| read_times | 阅读时长时间序列 |
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| read_longest | 阅读时长最久的书籍 |
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| prefer_categories | 偏好分类 |
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| prefer_authors | 偏好作者 |
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| prefer_time | 24 小时阅读时段分布 |
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| notebooks | 笔记本概览 |
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| read_stat_items | 阅读统计摘要项 |
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| archives | 书单/归档 |
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## 更新数据
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随时重新运行 `python fetch_data.py` 即可刷新本地数据。
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#!/usr/bin/env python3
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"""
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微信读书数据展示网站 - Flask 后端
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提供 API 接口供前端查询本地 SQLite 数据库中的读书数据
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"""
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import json
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import os
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import sqlite3
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import time
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from datetime import datetime
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from flask import Flask, jsonify, render_template, request
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app = Flask(__name__, static_folder="static", template_folder="templates")
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DB_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), "weread.db")
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def get_db():
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conn = sqlite3.connect(DB_PATH)
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conn.row_factory = sqlite3.Row
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return conn
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def ts_to_date(ts):
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"""时间戳转日期字符串"""
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if not ts or ts == 0:
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return ""
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return datetime.fromtimestamp(ts).strftime("%Y-%m-%d")
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def ts_to_year(ts):
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"""时间戳转年份"""
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if not ts or ts == 0:
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return ""
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return datetime.fromtimestamp(ts).strftime("%Y")
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def format_duration(seconds):
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"""秒转可读时长"""
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if not seconds:
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return "0分钟"
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hours = seconds // 3600
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minutes = (seconds % 3600) // 60
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if hours > 0:
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return f"{hours}小时{minutes}分钟"
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return f"{minutes}分钟"
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@app.route("/")
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def index():
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return render_template("index.html")
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@app.route("/api/overview")
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def api_overview():
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"""总览数据"""
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conn = get_db()
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c = conn.cursor()
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# 总阅读统计
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c.execute("SELECT * FROM reading_stats WHERE mode='overall' LIMIT 1")
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overall = c.fetchone()
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total_read_time = overall["total_read_time"] if overall else 0
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read_days = overall["read_days"] if overall else 0
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regist_time = overall["regist_time"] if overall else 0
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# 今年统计
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current_year = str(time.localtime().tm_year)
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c.execute("SELECT * FROM reading_stats WHERE mode='annually' LIMIT 1")
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annual = c.fetchone()
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year_read_time = annual["total_read_time"] if annual else 0
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year_read_days = annual["read_days"] if annual else 0
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# 书架数量
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c.execute("SELECT COUNT(*) as cnt FROM books")
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shelf_count = c.fetchone()["cnt"]
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# 读完数量
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c.execute("SELECT COUNT(*) as cnt FROM books WHERE finish_reading=1")
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finished_count = c.fetchone()["cnt"]
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# 笔记统计
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c.execute("SELECT COUNT(*) as cnt FROM notebooks")
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notebook_count = c.fetchone()["cnt"]
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c.execute("SELECT SUM(review_count + note_count + bookmark_count) as cnt FROM notebooks")
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total_notes = c.fetchone()["cnt"] or 0
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# 最近阅读时间
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c.execute("SELECT MAX(read_update_time) as max_ts FROM books")
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last_read_ts = c.fetchone()["max_ts"] or 0
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# 采集时间
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c.execute("SELECT value FROM fetch_meta WHERE key='last_fetch_time'")
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fetch_row = c.fetchone()
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fetch_time = fetch_row["value"] if fetch_row else ""
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conn.close()
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return jsonify({
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"total_read_time": total_read_time,
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"total_read_time_str": format_duration(total_read_time),
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"read_days": read_days,
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"year_read_time": year_read_time,
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"year_read_time_str": format_duration(year_read_time),
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"year_read_days": year_read_days,
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"shelf_count": shelf_count,
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"finished_count": finished_count,
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"notebook_count": notebook_count,
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"total_notes": total_notes,
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"regist_time": ts_to_date(regist_time),
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"last_read_time": ts_to_date(last_read_ts),
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"fetch_time": fetch_time,
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})
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@app.route("/api/yearly-trend")
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def api_yearly_trend():
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"""年度阅读时长时间序列"""
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conn = get_db()
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c = conn.cursor()
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c.execute(
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"SELECT bucket_timestamp, duration FROM read_times WHERE mode='overall' ORDER BY bucket_timestamp"
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)
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rows = c.fetchall()
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conn.close()
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data = []
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for row in rows:
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year = ts_to_year(row["bucket_timestamp"])
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hours = round(row["duration"] / 3600, 1)
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data.append({"year": year, "hours": hours, "seconds": row["duration"]})
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return jsonify(data)
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@app.route("/api/top-books")
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def api_top_books():
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"""阅读时长最久的书籍"""
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conn = get_db()
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c = conn.cursor()
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c.execute(
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"""SELECT * FROM read_longest WHERE mode='overall'
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ORDER BY read_time DESC LIMIT 20"""
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)
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rows = c.fetchall()
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conn.close()
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books = []
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for row in rows:
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tags = json.loads(row["tags"]) if row["tags"] else []
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books.append({
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"book_id": row["book_id"],
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"title": row["title"],
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"author": row["author"],
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"cover": row["cover"],
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"read_time": row["read_time"],
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"read_time_str": format_duration(row["read_time"]),
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"tags": tags,
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})
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return jsonify(books)
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@app.route("/api/categories")
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def api_categories():
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"""偏好分类"""
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conn = get_db()
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c = conn.cursor()
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c.execute(
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"""SELECT * FROM prefer_categories WHERE mode='overall'
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AND reading_time > 0
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ORDER BY reading_time DESC"""
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)
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rows = c.fetchall()
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conn.close()
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cats = []
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for row in rows:
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cats.append({
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"category_title": row["category_title"],
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"parent_category_title": row["parent_category_title"],
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"reading_time": row["reading_time"],
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"reading_time_str": format_duration(row["reading_time"]),
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"reading_count": row["reading_count"],
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"val": row["val"],
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})
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return jsonify(cats)
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@app.route("/api/authors")
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def api_authors():
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"""偏好作者"""
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conn = get_db()
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c = conn.cursor()
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c.execute(
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"""SELECT * FROM prefer_authors WHERE mode='overall'
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ORDER BY count DESC LIMIT 20"""
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)
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rows = c.fetchall()
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conn.close()
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authors = []
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for row in rows:
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authors.append({
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"name": row["name"],
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"count": row["count"],
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"read_time": row["read_time"],
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})
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return jsonify(authors)
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@app.route("/api/time-distribution")
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def api_time_distribution():
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"""24小时阅读时段分布"""
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conn = get_db()
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c = conn.cursor()
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c.execute(
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"""SELECT hour_index, SUM(duration) as total
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FROM prefer_time WHERE mode='overall'
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GROUP BY hour_index ORDER BY hour_index"""
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)
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rows = c.fetchall()
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conn.close()
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dist = []
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for row in rows:
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dist.append({
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"hour": row["hour_index"],
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"duration": row["total"],
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"duration_min": round(row["total"] / 60, 1),
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})
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return jsonify(dist)
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@app.route("/api/shelf")
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def api_shelf():
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"""书架列表"""
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page = int(request.args.get("page", 1))
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per_page = int(request.args.get("per_page", 60))
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category = request.args.get("category", "")
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finished_only = request.args.get("finished", "0") == "1"
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offset = (page - 1) * per_page
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conn = get_db()
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c = conn.cursor()
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where_clauses = []
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params = []
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if category:
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where_clauses.append("category LIKE ?")
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params.append(f"%{category}%")
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if finished_only:
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where_clauses.append("finish_reading=1")
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where_sql = " WHERE " + " AND ".join(where_clauses) if where_clauses else ""
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c.execute(f"SELECT COUNT(*) as cnt FROM books{where_sql}", params)
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total = c.fetchone()["cnt"]
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c.execute(
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f"SELECT * FROM books{where_sql} ORDER BY is_top DESC, read_update_time DESC LIMIT ? OFFSET ?",
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params + [per_page, offset],
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)
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rows = c.fetchall()
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# 获取分类列表
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c.execute("SELECT DISTINCT category FROM books WHERE category != '' ORDER BY category")
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categories = [r["category"] for r in c.fetchall()]
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conn.close()
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books = []
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for row in rows:
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books.append({
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"book_id": row["book_id"],
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"title": row["title"],
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"author": row["author"],
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"cover": row["cover"],
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"category": row["category"],
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"finish_reading": row["finish_reading"],
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"read_update_time": ts_to_date(row["read_update_time"]),
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"secret": row["secret"],
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"is_top": row["is_top"],
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"deep_link": row["deep_link"],
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})
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return jsonify({
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"books": books,
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"total": total,
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"page": page,
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"per_page": per_page,
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"total_pages": (total + per_page - 1) // per_page,
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"categories": categories,
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})
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@app.route("/api/notebooks")
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def api_notebooks():
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"""笔记本概览"""
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conn = get_db()
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c = conn.cursor()
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c.execute(
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"""SELECT * FROM notebooks
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ORDER BY (review_count + note_count + bookmark_count) DESC"""
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)
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rows = c.fetchall()
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conn.close()
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notebooks = []
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for row in rows:
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total = row["review_count"] + row["note_count"] + row["bookmark_count"]
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notebooks.append({
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"book_id": row["book_id"],
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"title": row["title"],
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"author": row["author"],
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"cover": row["cover"],
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"review_count": row["review_count"],
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"note_count": row["note_count"],
|
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"bookmark_count": row["bookmark_count"],
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"total_notes": total,
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"reading_progress": row["reading_progress"],
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"marked_status": row["marked_status"],
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})
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return jsonify(notebooks)
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@app.route("/api/read-stats")
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def api_read_stats():
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"""阅读统计摘要项"""
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conn = get_db()
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c = conn.cursor()
|
||||
c.execute("SELECT * FROM read_stat_items WHERE mode='overall'")
|
||||
rows = c.fetchall()
|
||||
conn.close()
|
||||
|
||||
stats = []
|
||||
for row in rows:
|
||||
stats.append({
|
||||
"stat": row["stat_name"],
|
||||
"counts": row["counts"],
|
||||
"scheme": row["scheme"],
|
||||
})
|
||||
|
||||
return jsonify(stats)
|
||||
|
||||
|
||||
@app.route("/api/archives")
|
||||
def api_archives():
|
||||
"""书单"""
|
||||
conn = get_db()
|
||||
c = conn.cursor()
|
||||
c.execute("SELECT * FROM archives")
|
||||
rows = c.fetchall()
|
||||
conn.close()
|
||||
|
||||
archives = []
|
||||
for row in rows:
|
||||
book_ids = json.loads(row["book_ids"]) if row["book_ids"] else []
|
||||
archives.append({
|
||||
"name": row["name"],
|
||||
"book_count": len(book_ids),
|
||||
"book_ids": book_ids,
|
||||
})
|
||||
|
||||
return jsonify(archives)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
app.run(host="0.0.0.0", port=8080, debug=False)
|
||||
+472
@@ -0,0 +1,472 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
微信读书数据采集脚本
|
||||
从微信读书 API 拉取数据并存入本地 SQLite 数据库
|
||||
"""
|
||||
|
||||
import json
|
||||
import os
|
||||
import sqlite3
|
||||
import time
|
||||
import urllib.request
|
||||
|
||||
API_URL = "https://i.weread.qq.com/api/agent/gateway"
|
||||
API_KEY = os.environ.get("WEREAD_API_KEY", "")
|
||||
SKILL_VERSION = "1.0.3"
|
||||
DB_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), "weread.db")
|
||||
PROJECT_DIR = os.path.dirname(os.path.abspath(__file__))
|
||||
|
||||
|
||||
def api_call(api_name, **kwargs):
|
||||
"""调用微信读书 API"""
|
||||
body = {"api_name": api_name, "skill_version": SKILL_VERSION}
|
||||
body.update(kwargs)
|
||||
req = urllib.request.Request(
|
||||
API_URL,
|
||||
data=json.dumps(body).encode("utf-8"),
|
||||
headers={
|
||||
"Authorization": f"Bearer {API_KEY}",
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
method="POST",
|
||||
)
|
||||
with urllib.request.urlopen(req, timeout=30) as resp:
|
||||
return json.loads(resp.read().decode("utf-8"))
|
||||
|
||||
|
||||
def init_db(db_path):
|
||||
"""初始化数据库表结构"""
|
||||
conn = sqlite3.connect(db_path)
|
||||
c = conn.cursor()
|
||||
|
||||
# 书架书籍表
|
||||
c.execute("""
|
||||
CREATE TABLE IF NOT EXISTS books (
|
||||
book_id TEXT PRIMARY KEY,
|
||||
title TEXT,
|
||||
author TEXT,
|
||||
cover TEXT,
|
||||
category TEXT,
|
||||
finish_reading INTEGER DEFAULT 0,
|
||||
read_update_time INTEGER,
|
||||
secret INTEGER DEFAULT 0,
|
||||
is_top INTEGER DEFAULT 0,
|
||||
update_time INTEGER,
|
||||
deep_link TEXT
|
||||
)
|
||||
""")
|
||||
|
||||
# 阅读统计概要表
|
||||
c.execute("""
|
||||
CREATE TABLE IF NOT EXISTS reading_stats (
|
||||
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
||||
mode TEXT,
|
||||
period TEXT,
|
||||
total_read_time INTEGER,
|
||||
read_days INTEGER,
|
||||
day_average_read_time REAL,
|
||||
regist_time INTEGER,
|
||||
raw_json TEXT
|
||||
)
|
||||
""")
|
||||
|
||||
# 阅读时长时间序列(按年/月/日分桶)
|
||||
c.execute("""
|
||||
CREATE TABLE IF NOT EXISTS read_times (
|
||||
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
||||
mode TEXT,
|
||||
period TEXT,
|
||||
bucket_timestamp INTEGER,
|
||||
duration INTEGER
|
||||
)
|
||||
""")
|
||||
|
||||
# 阅读时长最长的书籍排行
|
||||
c.execute("""
|
||||
CREATE TABLE IF NOT EXISTS read_longest (
|
||||
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
||||
mode TEXT,
|
||||
period TEXT,
|
||||
book_id TEXT,
|
||||
title TEXT,
|
||||
author TEXT,
|
||||
cover TEXT,
|
||||
read_time INTEGER,
|
||||
tags TEXT
|
||||
)
|
||||
""")
|
||||
|
||||
# 偏好分类
|
||||
c.execute("""
|
||||
CREATE TABLE IF NOT EXISTS prefer_categories (
|
||||
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
||||
mode TEXT,
|
||||
period TEXT,
|
||||
category_id INTEGER,
|
||||
category_title TEXT,
|
||||
parent_category_title TEXT,
|
||||
val REAL,
|
||||
reading_time INTEGER,
|
||||
reading_count INTEGER
|
||||
)
|
||||
""")
|
||||
|
||||
# 偏好作者
|
||||
c.execute("""
|
||||
CREATE TABLE IF NOT EXISTS prefer_authors (
|
||||
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
||||
mode TEXT,
|
||||
period TEXT,
|
||||
author_id INTEGER,
|
||||
name TEXT,
|
||||
count INTEGER,
|
||||
read_time TEXT
|
||||
)
|
||||
""")
|
||||
|
||||
# 24小时阅读时段分布
|
||||
c.execute("""
|
||||
CREATE TABLE IF NOT EXISTS prefer_time (
|
||||
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
||||
mode TEXT,
|
||||
period TEXT,
|
||||
hour_index INTEGER,
|
||||
duration INTEGER
|
||||
)
|
||||
""")
|
||||
|
||||
# 笔记本概览
|
||||
c.execute("""
|
||||
CREATE TABLE IF NOT EXISTS notebooks (
|
||||
book_id TEXT PRIMARY KEY,
|
||||
title TEXT,
|
||||
author TEXT,
|
||||
cover TEXT,
|
||||
review_count INTEGER DEFAULT 0,
|
||||
note_count INTEGER DEFAULT 0,
|
||||
bookmark_count INTEGER DEFAULT 0,
|
||||
reading_progress INTEGER DEFAULT 0,
|
||||
marked_status INTEGER DEFAULT 0,
|
||||
sort INTEGER
|
||||
)
|
||||
""")
|
||||
|
||||
# 阅读统计摘要项
|
||||
c.execute("""
|
||||
CREATE TABLE IF NOT EXISTS read_stat_items (
|
||||
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
||||
mode TEXT,
|
||||
period TEXT,
|
||||
stat_name TEXT,
|
||||
counts TEXT,
|
||||
scheme TEXT
|
||||
)
|
||||
""")
|
||||
|
||||
# 书单/归档
|
||||
c.execute("""
|
||||
CREATE TABLE IF NOT EXISTS archives (
|
||||
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
||||
name TEXT,
|
||||
book_ids TEXT
|
||||
)
|
||||
""")
|
||||
|
||||
# 数据采集元信息
|
||||
c.execute("""
|
||||
CREATE TABLE IF NOT EXISTS fetch_meta (
|
||||
key TEXT PRIMARY KEY,
|
||||
value TEXT
|
||||
)
|
||||
""")
|
||||
|
||||
conn.commit()
|
||||
return conn
|
||||
|
||||
|
||||
def fetch_shelf(conn):
|
||||
"""拉取书架数据"""
|
||||
print(" 拉取书架数据...")
|
||||
data = api_call("/shelf/sync")
|
||||
c = conn.cursor()
|
||||
|
||||
books = data.get("books", [])
|
||||
for book in books:
|
||||
c.execute(
|
||||
"""INSERT OR REPLACE INTO books
|
||||
(book_id, title, author, cover, category, finish_reading,
|
||||
read_update_time, secret, is_top, update_time, deep_link)
|
||||
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)""",
|
||||
(
|
||||
book.get("bookId"),
|
||||
book.get("title", ""),
|
||||
book.get("author", ""),
|
||||
book.get("cover", ""),
|
||||
book.get("category", ""),
|
||||
book.get("finishReading", 0),
|
||||
book.get("readUpdateTime", 0),
|
||||
book.get("secret", 0),
|
||||
book.get("isTop", 0),
|
||||
book.get("updateTime", 0),
|
||||
book.get("deepLink", ""),
|
||||
),
|
||||
)
|
||||
|
||||
# 保存书单
|
||||
archives = data.get("archive", [])
|
||||
c.execute("DELETE FROM archives")
|
||||
for arch in archives:
|
||||
c.execute(
|
||||
"INSERT INTO archives (name, book_ids) VALUES (?, ?)",
|
||||
(arch.get("name", ""), json.dumps(arch.get("bookIds", []))),
|
||||
)
|
||||
|
||||
conn.commit()
|
||||
mp_flag = "yes" if data.get("mp") else "no"
|
||||
print(f" 书架: {len(books)} 本电子书, {len(data.get('albums', []))} 个专辑, MP={mp_flag}, {len(archives)} 个书单")
|
||||
|
||||
|
||||
def fetch_readdata(conn, mode, period_label):
|
||||
"""拉取阅读统计数据"""
|
||||
print(f" 拉取阅读统计 [{mode}]...")
|
||||
params = {"mode": mode}
|
||||
if mode != "overall":
|
||||
params["baseTime"] = 0
|
||||
data = api_call("/readdata/detail", **params)
|
||||
c = conn.cursor()
|
||||
|
||||
total_read_time = data.get("totalReadTime", 0)
|
||||
read_days = data.get("readDays", 0)
|
||||
day_avg = data.get("dayAverageReadTime", 0)
|
||||
regist_time = data.get("registTime", 0)
|
||||
|
||||
c.execute(
|
||||
"""INSERT INTO reading_stats
|
||||
(mode, period, total_read_time, read_days, day_average_read_time,
|
||||
regist_time, raw_json)
|
||||
VALUES (?, ?, ?, ?, ?, ?, ?)""",
|
||||
(
|
||||
mode,
|
||||
period_label,
|
||||
total_read_time,
|
||||
read_days,
|
||||
day_avg,
|
||||
regist_time,
|
||||
json.dumps(data, ensure_ascii=False),
|
||||
),
|
||||
)
|
||||
|
||||
# 保存 readTimes 分桶数据
|
||||
read_times = data.get("readTimes", {})
|
||||
for ts, duration in read_times.items():
|
||||
c.execute(
|
||||
"INSERT INTO read_times (mode, period, bucket_timestamp, duration) VALUES (?, ?, ?, ?)",
|
||||
(mode, period_label, int(ts), duration),
|
||||
)
|
||||
|
||||
# 保存 dailyReadTimes(如果有)
|
||||
daily_times = data.get("dailyReadTimes", {})
|
||||
for ts, duration in daily_times.items():
|
||||
c.execute(
|
||||
"INSERT INTO read_times (mode, period, bucket_timestamp, duration) VALUES (?, ?, ?, ?)",
|
||||
(mode + "_daily", period_label, int(ts), duration),
|
||||
)
|
||||
|
||||
# 保存阅读最久的书籍
|
||||
for item in data.get("readLongest", []):
|
||||
book = item.get("book", {})
|
||||
album = item.get("albumInfo", {})
|
||||
c.execute(
|
||||
"""INSERT INTO read_longest
|
||||
(mode, period, book_id, title, author, cover, read_time, tags)
|
||||
VALUES (?, ?, ?, ?, ?, ?, ?, ?)""",
|
||||
(
|
||||
mode,
|
||||
period_label,
|
||||
book.get("bookId") or album.get("albumId", ""),
|
||||
book.get("title") or album.get("name", ""),
|
||||
book.get("author") or album.get("authorName", ""),
|
||||
book.get("cover") or album.get("cover", ""),
|
||||
item.get("readTime", 0),
|
||||
json.dumps(item.get("tags", []), ensure_ascii=False),
|
||||
),
|
||||
)
|
||||
|
||||
# 保存偏好分类
|
||||
for cat in data.get("preferCategory", []):
|
||||
c.execute(
|
||||
"""INSERT INTO prefer_categories
|
||||
(mode, period, category_id, category_title, parent_category_title,
|
||||
val, reading_time, reading_count)
|
||||
VALUES (?, ?, ?, ?, ?, ?, ?, ?)""",
|
||||
(
|
||||
mode,
|
||||
period_label,
|
||||
cat.get("categoryId", 0),
|
||||
cat.get("categoryTitle", ""),
|
||||
cat.get("parentCategoryTitle", ""),
|
||||
cat.get("val", 0),
|
||||
cat.get("readingTime", 0),
|
||||
cat.get("readingCount", 0),
|
||||
),
|
||||
)
|
||||
|
||||
# 保存偏好作者
|
||||
for author in data.get("preferAuthor", []):
|
||||
c.execute(
|
||||
"""INSERT INTO prefer_authors
|
||||
(mode, period, author_id, name, count, read_time)
|
||||
VALUES (?, ?, ?, ?, ?, ?)""",
|
||||
(
|
||||
mode,
|
||||
period_label,
|
||||
author.get("authorId", 0),
|
||||
author.get("name", ""),
|
||||
author.get("count", 0),
|
||||
author.get("readTime", ""),
|
||||
),
|
||||
)
|
||||
|
||||
# 保存24小时时段分布
|
||||
prefer_time = data.get("preferTime", [])
|
||||
# preferTime 从6点开始到次日5点,映射到 hour_index
|
||||
for i, duration in enumerate(prefer_time):
|
||||
hour = (6 + i) % 24
|
||||
c.execute(
|
||||
"INSERT INTO prefer_time (mode, period, hour_index, duration) VALUES (?, ?, ?, ?)",
|
||||
(mode, period_label, hour, duration),
|
||||
)
|
||||
|
||||
# 保存统计摘要项
|
||||
for stat in data.get("readStat", []):
|
||||
c.execute(
|
||||
"""INSERT INTO read_stat_items
|
||||
(mode, period, stat_name, counts, scheme)
|
||||
VALUES (?, ?, ?, ?, ?)""",
|
||||
(
|
||||
mode,
|
||||
period_label,
|
||||
stat.get("stat", ""),
|
||||
stat.get("counts", ""),
|
||||
stat.get("scheme", ""),
|
||||
),
|
||||
)
|
||||
|
||||
conn.commit()
|
||||
print(f" [{mode}] 总时长: {total_read_time}秒 ({total_read_time//3600}小时), 阅读天数: {read_days}")
|
||||
|
||||
|
||||
def fetch_notebooks(conn):
|
||||
"""拉取笔记本概览(分页拉取全部)"""
|
||||
print(" 拉取笔记本数据...")
|
||||
c = conn.cursor()
|
||||
c.execute("DELETE FROM notebooks")
|
||||
|
||||
count = 100
|
||||
last_sort = None
|
||||
total = 0
|
||||
|
||||
while True:
|
||||
params = {"count": count}
|
||||
if last_sort is not None:
|
||||
params["lastSort"] = last_sort
|
||||
data = api_call("/user/notebooks", **params)
|
||||
|
||||
books = data.get("books", [])
|
||||
for item in books:
|
||||
book = item.get("book", {})
|
||||
c.execute(
|
||||
"""INSERT OR REPLACE INTO notebooks
|
||||
(book_id, title, author, cover, review_count, note_count,
|
||||
bookmark_count, reading_progress, marked_status, sort)
|
||||
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)""",
|
||||
(
|
||||
item.get("bookId", ""),
|
||||
book.get("title", ""),
|
||||
book.get("author", ""),
|
||||
book.get("cover", ""),
|
||||
item.get("reviewCount", 0),
|
||||
item.get("noteCount", 0),
|
||||
item.get("bookmarkCount", 0),
|
||||
item.get("readingProgress", 0),
|
||||
item.get("markedStatus", 0),
|
||||
item.get("sort", 0),
|
||||
),
|
||||
)
|
||||
total += 1
|
||||
|
||||
if data.get("hasMore", 0) == 1 and books:
|
||||
last_sort = books[-1].get("sort")
|
||||
else:
|
||||
break
|
||||
time.sleep(0.3)
|
||||
|
||||
conn.commit()
|
||||
print(f" 笔记本: {total} 本有笔记的书")
|
||||
|
||||
|
||||
def main():
|
||||
if not API_KEY:
|
||||
print("错误: 请先设置 WEREAD_API_KEY 环境变量")
|
||||
print(" export WEREAD_API_KEY=wrk-xxxxxxxx")
|
||||
return
|
||||
|
||||
print("=" * 50)
|
||||
print("微信读书数据采集")
|
||||
print("=" * 50)
|
||||
|
||||
# 初始化数据库
|
||||
print(f"\n[1/4] 初始化数据库: {DB_PATH}")
|
||||
conn = init_db(DB_PATH)
|
||||
|
||||
# 清空旧数据(保留表结构)
|
||||
for table in [
|
||||
"reading_stats", "read_times", "read_longest", "prefer_categories",
|
||||
"prefer_authors", "prefer_time", "read_stat_items",
|
||||
]:
|
||||
conn.execute(f"DELETE FROM {table}")
|
||||
conn.commit()
|
||||
|
||||
# 拉取书架
|
||||
print("\n[2/4] 拉取书架数据")
|
||||
fetch_shelf(conn)
|
||||
|
||||
# 拉取阅读统计(overall + 当前年)
|
||||
print("\n[3/4] 拉取阅读统计数据")
|
||||
fetch_readdata(conn, "overall", "overall")
|
||||
current_year = time.localtime().tm_year
|
||||
fetch_readdata(conn, "annually", str(current_year))
|
||||
|
||||
# 拉取笔记本
|
||||
print("\n[4/4] 拉取笔记本数据")
|
||||
fetch_notebooks(conn)
|
||||
|
||||
# 记录采集时间
|
||||
c = conn.cursor()
|
||||
c.execute(
|
||||
"INSERT OR REPLACE INTO fetch_meta (key, value) VALUES (?, ?)",
|
||||
("last_fetch_time", time.strftime("%Y-%m-%d %H:%M:%S")),
|
||||
)
|
||||
conn.commit()
|
||||
|
||||
# 统计
|
||||
c.execute("SELECT COUNT(*) FROM books")
|
||||
book_count = c.fetchone()[0]
|
||||
c.execute("SELECT COUNT(*) FROM notebooks")
|
||||
notebook_count = c.fetchone()[0]
|
||||
c.execute("SELECT SUM(total_read_time) FROM reading_stats WHERE mode='overall'")
|
||||
total_time = c.fetchone()[0] or 0
|
||||
|
||||
print("\n" + "=" * 50)
|
||||
print("采集完成!")
|
||||
print(f" 书架书籍: {book_count} 本")
|
||||
print(f" 笔记本: {notebook_count} 本")
|
||||
print(f" 总阅读时长: {total_time // 3600} 小时 {(total_time % 3600) // 60} 分钟")
|
||||
print(f" 数据库: {DB_PATH}")
|
||||
print("=" * 50)
|
||||
|
||||
conn.close()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -0,0 +1 @@
|
||||
flask>=3.0
|
||||
@@ -0,0 +1,708 @@
|
||||
/* ===== 全局变量 ===== */
|
||||
:root {
|
||||
--bg-primary: #f8f5f0;
|
||||
--bg-card: #ffffff;
|
||||
--bg-hero: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
|
||||
--text-primary: #2c2416;
|
||||
--text-secondary: #6b5d4f;
|
||||
--text-light: #9b8e80;
|
||||
--accent: #c17b4a;
|
||||
--accent-light: #e8a87c;
|
||||
--accent-dark: #a05c2c;
|
||||
--border: #e8e0d4;
|
||||
--shadow: 0 2px 12px rgba(44, 36, 22, 0.08);
|
||||
--shadow-hover: 0 8px 24px rgba(44, 36, 22, 0.15);
|
||||
--radius: 12px;
|
||||
--radius-sm: 8px;
|
||||
}
|
||||
|
||||
* {
|
||||
margin: 0;
|
||||
padding: 0;
|
||||
box-sizing: border-box;
|
||||
}
|
||||
|
||||
body {
|
||||
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "PingFang SC",
|
||||
"Hiragino Sans GB", "Microsoft YaHei", sans-serif;
|
||||
background: var(--bg-primary);
|
||||
color: var(--text-primary);
|
||||
line-height: 1.6;
|
||||
}
|
||||
|
||||
.container {
|
||||
max-width: 1200px;
|
||||
margin: 0 auto;
|
||||
padding: 0 24px;
|
||||
}
|
||||
|
||||
/* ===== 导航栏 ===== */
|
||||
.navbar {
|
||||
position: sticky;
|
||||
top: 0;
|
||||
z-index: 100;
|
||||
background: rgba(255, 255, 255, 0.95);
|
||||
backdrop-filter: blur(12px);
|
||||
border-bottom: 1px solid var(--border);
|
||||
box-shadow: 0 1px 4px rgba(0, 0, 0, 0.04);
|
||||
}
|
||||
|
||||
.nav-container {
|
||||
max-width: 1200px;
|
||||
margin: 0 auto;
|
||||
padding: 0 24px;
|
||||
height: 60px;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: space-between;
|
||||
}
|
||||
|
||||
.nav-logo {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 8px;
|
||||
font-size: 18px;
|
||||
font-weight: 700;
|
||||
color: var(--text-primary);
|
||||
}
|
||||
|
||||
.logo-icon {
|
||||
font-size: 24px;
|
||||
}
|
||||
|
||||
.nav-links {
|
||||
display: flex;
|
||||
gap: 24px;
|
||||
}
|
||||
|
||||
.nav-link {
|
||||
text-decoration: none;
|
||||
color: var(--text-secondary);
|
||||
font-size: 14px;
|
||||
font-weight: 500;
|
||||
padding: 6px 12px;
|
||||
border-radius: var(--radius-sm);
|
||||
transition: all 0.2s;
|
||||
}
|
||||
|
||||
.nav-link:hover {
|
||||
color: var(--accent);
|
||||
background: rgba(193, 123, 74, 0.08);
|
||||
}
|
||||
|
||||
.nav-link.active {
|
||||
color: var(--accent);
|
||||
background: rgba(193, 123, 74, 0.12);
|
||||
}
|
||||
|
||||
.nav-update {
|
||||
font-size: 12px;
|
||||
color: var(--text-light);
|
||||
}
|
||||
|
||||
/* ===== Hero 区 ===== */
|
||||
.hero-section {
|
||||
position: relative;
|
||||
padding: 80px 0 60px;
|
||||
overflow: hidden;
|
||||
background: var(--bg-hero);
|
||||
}
|
||||
|
||||
.hero-bg {
|
||||
position: absolute;
|
||||
inset: 0;
|
||||
background: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='100' height='100'%3E%3Cg fill='%23ffffff' fill-opacity='0.05'%3E%3Cpath d='M50 25 L55 40 L70 40 L58 50 L63 65 L50 55 L37 65 L42 50 L30 40 L45 40 Z'/%3E%3C/g%3E%3C/svg%3E");
|
||||
opacity: 0.6;
|
||||
}
|
||||
|
||||
.hero-content {
|
||||
position: relative;
|
||||
text-align: center;
|
||||
color: #fff;
|
||||
max-width: 800px;
|
||||
margin: 0 auto;
|
||||
padding: 0 24px;
|
||||
}
|
||||
|
||||
.hero-title {
|
||||
font-size: 36px;
|
||||
font-weight: 700;
|
||||
margin-bottom: 12px;
|
||||
letter-spacing: 2px;
|
||||
text-shadow: 0 2px 8px rgba(0, 0, 0, 0.2);
|
||||
}
|
||||
|
||||
.hero-subtitle {
|
||||
font-size: 16px;
|
||||
opacity: 0.9;
|
||||
margin-bottom: 40px;
|
||||
}
|
||||
|
||||
.hero-stats {
|
||||
display: flex;
|
||||
justify-content: center;
|
||||
gap: 48px;
|
||||
flex-wrap: wrap;
|
||||
}
|
||||
|
||||
.hero-stat {
|
||||
text-align: center;
|
||||
}
|
||||
|
||||
.hero-stat-value {
|
||||
font-size: 42px;
|
||||
font-weight: 800;
|
||||
line-height: 1.2;
|
||||
text-shadow: 0 2px 8px rgba(0, 0, 0, 0.2);
|
||||
}
|
||||
|
||||
.hero-stat-label {
|
||||
font-size: 14px;
|
||||
opacity: 0.85;
|
||||
margin-top: 4px;
|
||||
}
|
||||
|
||||
/* ===== 统计卡片 ===== */
|
||||
.stats-cards-section {
|
||||
padding: 40px 0 20px;
|
||||
margin-top: -40px;
|
||||
position: relative;
|
||||
z-index: 10;
|
||||
}
|
||||
|
||||
.stats-grid {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
|
||||
gap: 20px;
|
||||
}
|
||||
|
||||
.stat-card {
|
||||
background: var(--bg-card);
|
||||
border-radius: var(--radius);
|
||||
padding: 24px;
|
||||
box-shadow: var(--shadow);
|
||||
transition: transform 0.2s, box-shadow 0.2s;
|
||||
text-align: center;
|
||||
border: 1px solid var(--border);
|
||||
}
|
||||
|
||||
.stat-card:hover {
|
||||
transform: translateY(-4px);
|
||||
box-shadow: var(--shadow-hover);
|
||||
}
|
||||
|
||||
.stat-card-icon {
|
||||
font-size: 32px;
|
||||
margin-bottom: 12px;
|
||||
}
|
||||
|
||||
.stat-card-value {
|
||||
font-size: 28px;
|
||||
font-weight: 800;
|
||||
color: var(--accent-dark);
|
||||
margin-bottom: 4px;
|
||||
}
|
||||
|
||||
.stat-card-label {
|
||||
font-size: 13px;
|
||||
color: var(--text-secondary);
|
||||
}
|
||||
|
||||
.stat-card-sub {
|
||||
font-size: 12px;
|
||||
color: var(--text-light);
|
||||
margin-top: 4px;
|
||||
}
|
||||
|
||||
/* ===== Section 标题 ===== */
|
||||
.section-title {
|
||||
font-size: 24px;
|
||||
font-weight: 700;
|
||||
margin-bottom: 32px;
|
||||
color: var(--text-primary);
|
||||
text-align: center;
|
||||
}
|
||||
|
||||
/* ===== 图表区 ===== */
|
||||
.charts-section {
|
||||
padding: 60px 0;
|
||||
}
|
||||
|
||||
.charts-grid {
|
||||
display: grid;
|
||||
grid-template-columns: 1fr 1fr;
|
||||
gap: 24px;
|
||||
}
|
||||
|
||||
.chart-card {
|
||||
background: var(--bg-card);
|
||||
border-radius: var(--radius);
|
||||
padding: 24px;
|
||||
box-shadow: var(--shadow);
|
||||
border: 1px solid var(--border);
|
||||
}
|
||||
|
||||
.chart-card.large {
|
||||
grid-column: 1 / -1;
|
||||
}
|
||||
|
||||
.chart-title {
|
||||
font-size: 16px;
|
||||
font-weight: 600;
|
||||
color: var(--text-primary);
|
||||
margin-bottom: 16px;
|
||||
}
|
||||
|
||||
.chart-container {
|
||||
width: 100%;
|
||||
height: 320px;
|
||||
}
|
||||
|
||||
/* ===== 读书排行 ===== */
|
||||
.top-books-section {
|
||||
padding: 60px 0;
|
||||
background: rgba(193, 123, 74, 0.04);
|
||||
}
|
||||
|
||||
.top-books-grid {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(auto-fill, minmax(220px, 1fr));
|
||||
gap: 20px;
|
||||
}
|
||||
|
||||
.top-book-card {
|
||||
background: var(--bg-card);
|
||||
border-radius: var(--radius);
|
||||
overflow: hidden;
|
||||
box-shadow: var(--shadow);
|
||||
transition: transform 0.2s, box-shadow 0.2s;
|
||||
border: 1px solid var(--border);
|
||||
cursor: pointer;
|
||||
}
|
||||
|
||||
.top-book-card:hover {
|
||||
transform: translateY(-4px);
|
||||
box-shadow: var(--shadow-hover);
|
||||
}
|
||||
|
||||
.top-book-rank {
|
||||
position: absolute;
|
||||
top: 8px;
|
||||
left: 8px;
|
||||
background: rgba(0, 0, 0, 0.7);
|
||||
color: #ffd700;
|
||||
width: 28px;
|
||||
height: 28px;
|
||||
border-radius: 50%;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
font-size: 14px;
|
||||
font-weight: 700;
|
||||
z-index: 5;
|
||||
}
|
||||
|
||||
.top-book-cover {
|
||||
position: relative;
|
||||
width: 100%;
|
||||
height: 200px;
|
||||
object-fit: cover;
|
||||
background: var(--bg-primary);
|
||||
}
|
||||
|
||||
.top-book-info {
|
||||
padding: 14px 16px;
|
||||
}
|
||||
|
||||
.top-book-title {
|
||||
font-size: 14px;
|
||||
font-weight: 600;
|
||||
color: var(--text-primary);
|
||||
margin-bottom: 4px;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
.top-book-author {
|
||||
font-size: 12px;
|
||||
color: var(--text-light);
|
||||
margin-bottom: 8px;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
.top-book-time {
|
||||
font-size: 13px;
|
||||
color: var(--accent);
|
||||
font-weight: 600;
|
||||
}
|
||||
|
||||
.top-book-tags {
|
||||
margin-top: 6px;
|
||||
display: flex;
|
||||
gap: 4px;
|
||||
flex-wrap: wrap;
|
||||
}
|
||||
|
||||
.top-book-tag {
|
||||
font-size: 11px;
|
||||
padding: 2px 8px;
|
||||
border-radius: 10px;
|
||||
background: rgba(193, 123, 74, 0.12);
|
||||
color: var(--accent-dark);
|
||||
}
|
||||
|
||||
/* ===== 书架 ===== */
|
||||
.shelf-section {
|
||||
padding: 60px 0;
|
||||
}
|
||||
|
||||
.shelf-controls {
|
||||
display: flex;
|
||||
justify-content: space-between;
|
||||
align-items: center;
|
||||
margin-bottom: 24px;
|
||||
flex-wrap: wrap;
|
||||
gap: 12px;
|
||||
}
|
||||
|
||||
.shelf-filters {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 16px;
|
||||
}
|
||||
|
||||
.shelf-search {
|
||||
padding: 8px 16px;
|
||||
border: 1px solid var(--border);
|
||||
border-radius: var(--radius-sm);
|
||||
font-size: 14px;
|
||||
width: 200px;
|
||||
background: var(--bg-card);
|
||||
color: var(--text-primary);
|
||||
}
|
||||
|
||||
.shelf-search:focus {
|
||||
outline: none;
|
||||
border-color: var(--accent);
|
||||
box-shadow: 0 0 0 3px rgba(193, 123, 74, 0.15);
|
||||
}
|
||||
|
||||
.filter-checkbox {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 6px;
|
||||
font-size: 14px;
|
||||
color: var(--text-secondary);
|
||||
cursor: pointer;
|
||||
}
|
||||
|
||||
.shelf-info {
|
||||
font-size: 13px;
|
||||
color: var(--text-light);
|
||||
}
|
||||
|
||||
.book-grid {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(auto-fill, minmax(140px, 1fr));
|
||||
gap: 20px;
|
||||
margin-bottom: 32px;
|
||||
}
|
||||
|
||||
.book-card {
|
||||
cursor: pointer;
|
||||
transition: transform 0.2s;
|
||||
}
|
||||
|
||||
.book-card:hover {
|
||||
transform: translateY(-4px);
|
||||
}
|
||||
|
||||
.book-cover-wrapper {
|
||||
position: relative;
|
||||
width: 100%;
|
||||
aspect-ratio: 3 / 4;
|
||||
border-radius: var(--radius-sm);
|
||||
overflow: hidden;
|
||||
box-shadow: var(--shadow);
|
||||
background: var(--bg-primary);
|
||||
}
|
||||
|
||||
.book-cover-img {
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
object-fit: cover;
|
||||
transition: transform 0.3s;
|
||||
}
|
||||
|
||||
.book-card:hover .book-cover-img {
|
||||
transform: scale(1.05);
|
||||
}
|
||||
|
||||
.book-finished-badge {
|
||||
position: absolute;
|
||||
top: 6px;
|
||||
right: 6px;
|
||||
background: #4caf50;
|
||||
color: white;
|
||||
font-size: 10px;
|
||||
padding: 2px 6px;
|
||||
border-radius: 4px;
|
||||
font-weight: 600;
|
||||
}
|
||||
|
||||
.book-top-badge {
|
||||
position: absolute;
|
||||
top: 6px;
|
||||
left: 6px;
|
||||
background: rgba(255, 215, 0, 0.9);
|
||||
color: #5d4037;
|
||||
font-size: 10px;
|
||||
padding: 2px 6px;
|
||||
border-radius: 4px;
|
||||
font-weight: 600;
|
||||
}
|
||||
|
||||
.book-title {
|
||||
font-size: 13px;
|
||||
font-weight: 500;
|
||||
margin-top: 8px;
|
||||
color: var(--text-primary);
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
.book-author {
|
||||
font-size: 11px;
|
||||
color: var(--text-light);
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
/* ===== 分页 ===== */
|
||||
.pagination {
|
||||
display: flex;
|
||||
justify-content: center;
|
||||
align-items: center;
|
||||
gap: 8px;
|
||||
margin-top: 32px;
|
||||
}
|
||||
|
||||
.page-btn {
|
||||
padding: 8px 14px;
|
||||
border: 1px solid var(--border);
|
||||
border-radius: var(--radius-sm);
|
||||
background: var(--bg-card);
|
||||
color: var(--text-secondary);
|
||||
cursor: pointer;
|
||||
font-size: 14px;
|
||||
transition: all 0.2s;
|
||||
}
|
||||
|
||||
.page-btn:hover:not(:disabled) {
|
||||
border-color: var(--accent);
|
||||
color: var(--accent);
|
||||
}
|
||||
|
||||
.page-btn:disabled {
|
||||
opacity: 0.4;
|
||||
cursor: not-allowed;
|
||||
}
|
||||
|
||||
.page-btn.active {
|
||||
background: var(--accent);
|
||||
color: #fff;
|
||||
border-color: var(--accent);
|
||||
}
|
||||
|
||||
.page-info {
|
||||
font-size: 13px;
|
||||
color: var(--text-light);
|
||||
margin: 0 8px;
|
||||
}
|
||||
|
||||
/* ===== 笔记区 ===== */
|
||||
.notes-section {
|
||||
padding: 60px 0;
|
||||
background: rgba(193, 123, 74, 0.04);
|
||||
}
|
||||
|
||||
.notes-summary {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(auto-fit, minmax(180px, 1fr));
|
||||
gap: 16px;
|
||||
margin-bottom: 32px;
|
||||
}
|
||||
|
||||
.note-stat {
|
||||
background: var(--bg-card);
|
||||
border-radius: var(--radius);
|
||||
padding: 20px;
|
||||
text-align: center;
|
||||
box-shadow: var(--shadow);
|
||||
border: 1px solid var(--border);
|
||||
}
|
||||
|
||||
.note-stat-value {
|
||||
font-size: 28px;
|
||||
font-weight: 800;
|
||||
color: var(--accent-dark);
|
||||
}
|
||||
|
||||
.note-stat-label {
|
||||
font-size: 13px;
|
||||
color: var(--text-secondary);
|
||||
margin-top: 4px;
|
||||
}
|
||||
|
||||
.notebooks-grid {
|
||||
display: grid;
|
||||
grid-template-columns: repeat(auto-fill, minmax(300px, 1fr));
|
||||
gap: 20px;
|
||||
}
|
||||
|
||||
.notebook-card {
|
||||
background: var(--bg-card);
|
||||
border-radius: var(--radius);
|
||||
padding: 16px;
|
||||
display: flex;
|
||||
gap: 14px;
|
||||
box-shadow: var(--shadow);
|
||||
border: 1px solid var(--border);
|
||||
transition: transform 0.2s, box-shadow 0.2s;
|
||||
}
|
||||
|
||||
.notebook-card:hover {
|
||||
transform: translateY(-2px);
|
||||
box-shadow: var(--shadow-hover);
|
||||
}
|
||||
|
||||
.notebook-cover {
|
||||
width: 60px;
|
||||
height: 80px;
|
||||
border-radius: 6px;
|
||||
object-fit: cover;
|
||||
flex-shrink: 0;
|
||||
box-shadow: var(--shadow);
|
||||
}
|
||||
|
||||
.notebook-info {
|
||||
flex: 1;
|
||||
min-width: 0;
|
||||
}
|
||||
|
||||
.notebook-title {
|
||||
font-size: 14px;
|
||||
font-weight: 600;
|
||||
color: var(--text-primary);
|
||||
margin-bottom: 4px;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
.notebook-author {
|
||||
font-size: 12px;
|
||||
color: var(--text-light);
|
||||
margin-bottom: 8px;
|
||||
}
|
||||
|
||||
.notebook-stats {
|
||||
display: flex;
|
||||
gap: 12px;
|
||||
flex-wrap: wrap;
|
||||
}
|
||||
|
||||
.notebook-stat-item {
|
||||
font-size: 12px;
|
||||
color: var(--text-secondary);
|
||||
}
|
||||
|
||||
.notebook-stat-item strong {
|
||||
color: var(--accent-dark);
|
||||
}
|
||||
|
||||
.notebook-progress {
|
||||
margin-top: 8px;
|
||||
height: 4px;
|
||||
background: var(--border);
|
||||
border-radius: 2px;
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
.notebook-progress-bar {
|
||||
height: 100%;
|
||||
background: var(--accent);
|
||||
border-radius: 2px;
|
||||
transition: width 0.3s;
|
||||
}
|
||||
|
||||
/* ===== 页脚 ===== */
|
||||
.footer {
|
||||
padding: 40px 0;
|
||||
text-align: center;
|
||||
color: var(--text-light);
|
||||
font-size: 13px;
|
||||
border-top: 1px solid var(--border);
|
||||
background: var(--bg-card);
|
||||
}
|
||||
|
||||
.footer-hint {
|
||||
margin-top: 8px;
|
||||
font-size: 12px;
|
||||
opacity: 0.7;
|
||||
}
|
||||
|
||||
/* ===== 加载动画 ===== */
|
||||
.loading {
|
||||
display: flex;
|
||||
justify-content: center;
|
||||
align-items: center;
|
||||
padding: 60px 0;
|
||||
}
|
||||
|
||||
.loading-spinner {
|
||||
width: 40px;
|
||||
height: 40px;
|
||||
border: 3px solid var(--border);
|
||||
border-top-color: var(--accent);
|
||||
border-radius: 50%;
|
||||
animation: spin 0.8s linear infinite;
|
||||
}
|
||||
|
||||
@keyframes spin {
|
||||
to { transform: rotate(360deg); }
|
||||
}
|
||||
|
||||
/* ===== 响应式 ===== */
|
||||
@media (max-width: 768px) {
|
||||
.nav-links {
|
||||
display: none;
|
||||
}
|
||||
.hero-title {
|
||||
font-size: 24px;
|
||||
}
|
||||
.hero-stats {
|
||||
gap: 24px;
|
||||
}
|
||||
.hero-stat-value {
|
||||
font-size: 32px;
|
||||
}
|
||||
.charts-grid {
|
||||
grid-template-columns: 1fr;
|
||||
}
|
||||
.chart-card.large {
|
||||
grid-column: auto;
|
||||
}
|
||||
.book-grid {
|
||||
grid-template-columns: repeat(auto-fill, minmax(100px, 1fr));
|
||||
gap: 12px;
|
||||
}
|
||||
.top-books-grid {
|
||||
grid-template-columns: repeat(auto-fill, minmax(160px, 1fr));
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,556 @@
|
||||
/* ===== 微信读书数据展示 - 前端逻辑 ===== */
|
||||
|
||||
const API_BASE = "";
|
||||
|
||||
// ===== 工具函数 =====
|
||||
async function fetchAPI(path) {
|
||||
const resp = await fetch(API_BASE + path);
|
||||
if (!resp.ok) throw new Error(`API error: ${resp.status}`);
|
||||
return resp.json();
|
||||
}
|
||||
|
||||
function formatHours(seconds) {
|
||||
if (!seconds) return "0";
|
||||
return (seconds / 3600).toFixed(1);
|
||||
}
|
||||
|
||||
// ===== 初始化 =====
|
||||
document.addEventListener("DOMContentLoaded", () => {
|
||||
loadOverview();
|
||||
loadYearlyTrend();
|
||||
loadTimeDistribution();
|
||||
loadCategories();
|
||||
loadAuthors();
|
||||
loadTopBooks();
|
||||
loadShelf(1);
|
||||
loadNotebooks();
|
||||
initNavScroll();
|
||||
});
|
||||
|
||||
// ===== 导航栏滚动高亮 =====
|
||||
function initNavScroll() {
|
||||
const links = document.querySelectorAll(".nav-link");
|
||||
const sections = document.querySelectorAll("section[id]");
|
||||
|
||||
window.addEventListener("scroll", () => {
|
||||
let current = "";
|
||||
sections.forEach((sec) => {
|
||||
const top = sec.offsetTop - 100;
|
||||
if (window.scrollY >= top) current = sec.id;
|
||||
});
|
||||
links.forEach((link) => {
|
||||
link.classList.toggle("active", link.getAttribute("href") === `#${current}`);
|
||||
});
|
||||
});
|
||||
|
||||
links.forEach((link) => {
|
||||
link.addEventListener("click", (e) => {
|
||||
e.preventDefault();
|
||||
const target = document.querySelector(link.getAttribute("href"));
|
||||
if (target) {
|
||||
window.scrollTo({ top: target.offsetTop - 60, behavior: "smooth" });
|
||||
}
|
||||
});
|
||||
});
|
||||
}
|
||||
|
||||
// ===== 总览数据 =====
|
||||
async function loadOverview() {
|
||||
try {
|
||||
const data = await fetchAPI("/api/overview");
|
||||
|
||||
// Hero 统计
|
||||
const heroStats = document.getElementById("heroStats");
|
||||
heroStats.innerHTML = `
|
||||
<div class="hero-stat">
|
||||
<div class="hero-stat-value">${formatHours(data.total_read_time)}</div>
|
||||
<div class="hero-stat-label">累计阅读 (小时)</div>
|
||||
</div>
|
||||
<div class="hero-stat">
|
||||
<div class="hero-stat-value">${data.read_days}</div>
|
||||
<div class="hero-stat-label">阅读天数</div>
|
||||
</div>
|
||||
<div class="hero-stat">
|
||||
<div class="hero-stat-value">${data.shelf_count}</div>
|
||||
<div class="hero-stat-label">书架藏书</div>
|
||||
</div>
|
||||
<div class="hero-stat">
|
||||
<div class="hero-stat-value">${data.total_notes}</div>
|
||||
<div class="hero-stat-label">读书笔记</div>
|
||||
</div>
|
||||
`;
|
||||
|
||||
document.getElementById("heroSubtitle").textContent =
|
||||
`自 ${data.regist_time} 加入微信读书,已陪伴你 ${data.read_days} 个阅读的日子`;
|
||||
|
||||
// 统计卡片
|
||||
const statsGrid = document.getElementById("statsGrid");
|
||||
statsGrid.innerHTML = `
|
||||
<div class="stat-card">
|
||||
<div class="stat-card-icon">⏱️</div>
|
||||
<div class="stat-card-value">${data.total_read_time_str}</div>
|
||||
<div class="stat-card-label">累计阅读时长</div>
|
||||
<div class="stat-card-sub">今年: ${data.year_read_time_str}</div>
|
||||
</div>
|
||||
<div class="stat-card">
|
||||
<div class="stat-card-icon">📅</div>
|
||||
<div class="stat-card-value">${data.read_days}</div>
|
||||
<div class="stat-card-label">累计阅读天数</div>
|
||||
<div class="stat-card-sub">今年: ${data.year_read_days} 天</div>
|
||||
</div>
|
||||
<div class="stat-card">
|
||||
<div class="stat-card-icon">📚</div>
|
||||
<div class="stat-card-value">${data.shelf_count}</div>
|
||||
<div class="stat-card-label">书架书籍</div>
|
||||
<div class="stat-card-sub">已读完: ${data.finished_count} 本</div>
|
||||
</div>
|
||||
<div class="stat-card">
|
||||
<div class="stat-card-icon">✍️</div>
|
||||
<div class="stat-card-value">${data.total_notes}</div>
|
||||
<div class="stat-card-label">读书笔记</div>
|
||||
<div class="stat-card-sub">来自 ${data.notebook_count} 本书</div>
|
||||
</div>
|
||||
`;
|
||||
|
||||
// 更新时间
|
||||
const timeStr = `数据更新: ${data.fetch_time}`;
|
||||
document.getElementById("fetchTime").textContent = timeStr;
|
||||
document.getElementById("footerTime").textContent = data.fetch_time;
|
||||
} catch (e) {
|
||||
console.error("加载总览失败:", e);
|
||||
}
|
||||
}
|
||||
|
||||
// ===== 年度趋势图 =====
|
||||
async function loadYearlyTrend() {
|
||||
try {
|
||||
const data = await fetchAPI("/api/yearly-trend");
|
||||
const chart = echarts.init(document.getElementById("chart-yearly"));
|
||||
|
||||
const years = data.map((d) => d.year);
|
||||
const hours = data.map((d) => d.hours);
|
||||
|
||||
chart.setOption({
|
||||
tooltip: {
|
||||
trigger: "axis",
|
||||
formatter: (params) => {
|
||||
const p = params[0];
|
||||
return `${p.name}年<br/>阅读: <b>${p.value}</b> 小时`;
|
||||
},
|
||||
},
|
||||
grid: { left: 50, right: 30, top: 30, bottom: 40 },
|
||||
xAxis: {
|
||||
type: "category",
|
||||
data: years,
|
||||
axisLabel: { color: "#6b5d4f" },
|
||||
axisLine: { lineStyle: { color: "#e8e0d4" } },
|
||||
},
|
||||
yAxis: {
|
||||
type: "value",
|
||||
name: "小时",
|
||||
axisLabel: { color: "#6b5d4f" },
|
||||
splitLine: { lineStyle: { color: "#f0ebe3" } },
|
||||
},
|
||||
series: [
|
||||
{
|
||||
data: hours,
|
||||
type: "bar",
|
||||
barWidth: "50%",
|
||||
itemStyle: {
|
||||
borderRadius: [8, 8, 0, 0],
|
||||
color: {
|
||||
type: "linear",
|
||||
x: 0, y: 0, x2: 0, y2: 1,
|
||||
colorStops: [
|
||||
{ offset: 0, color: "#e8a87c" },
|
||||
{ offset: 1, color: "#c17b4a" },
|
||||
],
|
||||
},
|
||||
},
|
||||
label: {
|
||||
show: true,
|
||||
position: "top",
|
||||
color: "#6b5d4f",
|
||||
fontSize: 12,
|
||||
formatter: "{c}h",
|
||||
},
|
||||
},
|
||||
],
|
||||
});
|
||||
window.addEventListener("resize", () => chart.resize());
|
||||
} catch (e) {
|
||||
console.error("加载年度趋势失败:", e);
|
||||
}
|
||||
}
|
||||
|
||||
// ===== 24小时时段分布 =====
|
||||
async function loadTimeDistribution() {
|
||||
try {
|
||||
const data = await fetchAPI("/api/time-distribution");
|
||||
const chart = echarts.init(document.getElementById("chart-hours"));
|
||||
|
||||
const hours = data.map((d) => `${d.hour}时`);
|
||||
const minutes = data.map((d) => d.duration_min);
|
||||
|
||||
chart.setOption({
|
||||
tooltip: {
|
||||
trigger: "axis",
|
||||
formatter: (params) => {
|
||||
const p = params[0];
|
||||
return `${p.name}<br/>阅读: <b>${p.value}</b> 分钟`;
|
||||
},
|
||||
},
|
||||
grid: { left: 50, right: 20, top: 20, bottom: 40 },
|
||||
xAxis: {
|
||||
type: "category",
|
||||
data: hours,
|
||||
axisLabel: {
|
||||
color: "#6b5d4f",
|
||||
fontSize: 10,
|
||||
interval: 2,
|
||||
},
|
||||
axisLine: { lineStyle: { color: "#e8e0d4" } },
|
||||
},
|
||||
yAxis: {
|
||||
type: "value",
|
||||
name: "分钟",
|
||||
axisLabel: { color: "#6b5d4f" },
|
||||
splitLine: { lineStyle: { color: "#f0ebe3" } },
|
||||
},
|
||||
series: [
|
||||
{
|
||||
data: minutes,
|
||||
type: "line",
|
||||
smooth: true,
|
||||
symbol: "circle",
|
||||
symbolSize: 4,
|
||||
lineStyle: { width: 2, color: "#c17b4a" },
|
||||
itemStyle: { color: "#c17b4a" },
|
||||
areaStyle: {
|
||||
color: {
|
||||
type: "linear",
|
||||
x: 0, y: 0, x2: 0, y2: 1,
|
||||
colorStops: [
|
||||
{ offset: 0, color: "rgba(193,123,74,0.3)" },
|
||||
{ offset: 1, color: "rgba(193,123,74,0.02)" },
|
||||
],
|
||||
},
|
||||
},
|
||||
},
|
||||
],
|
||||
});
|
||||
window.addEventListener("resize", () => chart.resize());
|
||||
} catch (e) {
|
||||
console.error("加载时段分布失败:", e);
|
||||
}
|
||||
}
|
||||
|
||||
// ===== 偏好分类 =====
|
||||
async function loadCategories() {
|
||||
try {
|
||||
const data = await fetchAPI("/api/categories");
|
||||
const chart = echarts.init(document.getElementById("chart-categories"));
|
||||
|
||||
const items = data.slice(0, 8).map((d) => ({
|
||||
name: d.category_title,
|
||||
value: d.reading_time,
|
||||
}));
|
||||
|
||||
chart.setOption({
|
||||
tooltip: {
|
||||
trigger: "item",
|
||||
formatter: (p) => {
|
||||
const hours = (p.value / 3600).toFixed(1);
|
||||
return `${p.name}<br/>阅读: <b>${hours}</b> 小时 (${p.percent}%)`;
|
||||
},
|
||||
},
|
||||
legend: {
|
||||
type: "scroll",
|
||||
orient: "vertical",
|
||||
right: 10,
|
||||
top: 20,
|
||||
bottom: 20,
|
||||
textStyle: { color: "#6b5d4f", fontSize: 11 },
|
||||
},
|
||||
series: [
|
||||
{
|
||||
type: "pie",
|
||||
radius: ["40%", "70%"],
|
||||
center: ["35%", "50%"],
|
||||
avoidLabelOverlap: false,
|
||||
itemStyle: {
|
||||
borderRadius: 6,
|
||||
borderColor: "#fff",
|
||||
borderWidth: 2,
|
||||
},
|
||||
label: { show: false },
|
||||
emphasis: {
|
||||
label: {
|
||||
show: true,
|
||||
fontSize: 14,
|
||||
fontWeight: "bold",
|
||||
},
|
||||
},
|
||||
data: items,
|
||||
color: [
|
||||
"#c17b4a", "#e8a87c", "#d4a574", "#b8860b",
|
||||
"#cd853f", "#daa520", "#bc8f8f", "#bdb76b",
|
||||
],
|
||||
},
|
||||
],
|
||||
});
|
||||
window.addEventListener("resize", () => chart.resize());
|
||||
} catch (e) {
|
||||
console.error("加载分类失败:", e);
|
||||
}
|
||||
}
|
||||
|
||||
// ===== 偏好作者 =====
|
||||
async function loadAuthors() {
|
||||
try {
|
||||
const data = await fetchAPI("/api/authors");
|
||||
const chart = echarts.init(document.getElementById("chart-authors"));
|
||||
|
||||
const top10 = data.slice(0, 10);
|
||||
const names = top10.map((d) => d.name);
|
||||
const counts = top10.map((d) => d.count);
|
||||
|
||||
chart.setOption({
|
||||
tooltip: {
|
||||
trigger: "axis",
|
||||
axisPointer: { type: "shadow" },
|
||||
formatter: (params) => {
|
||||
const p = params[0];
|
||||
return `${p.name}<br/>阅读: <b>${p.value}</b> 本`;
|
||||
},
|
||||
},
|
||||
grid: { left: 100, right: 40, top: 20, bottom: 20 },
|
||||
xAxis: {
|
||||
type: "value",
|
||||
axisLabel: { color: "#6b5d4f" },
|
||||
splitLine: { lineStyle: { color: "#f0ebe3" } },
|
||||
},
|
||||
yAxis: {
|
||||
type: "category",
|
||||
data: names.reverse(),
|
||||
axisLabel: { color: "#6b5d4f", fontSize: 12 },
|
||||
axisLine: { lineStyle: { color: "#e8e0d4" } },
|
||||
},
|
||||
series: [
|
||||
{
|
||||
type: "bar",
|
||||
data: counts.reverse(),
|
||||
barWidth: "50%",
|
||||
itemStyle: {
|
||||
borderRadius: [0, 6, 6, 0],
|
||||
color: {
|
||||
type: "linear",
|
||||
x: 0, y: 0, x2: 1, y2: 0,
|
||||
colorStops: [
|
||||
{ offset: 0, color: "#e8a87c" },
|
||||
{ offset: 1, color: "#c17b4a" },
|
||||
],
|
||||
},
|
||||
},
|
||||
label: {
|
||||
show: true,
|
||||
position: "right",
|
||||
color: "#6b5d4f",
|
||||
fontSize: 12,
|
||||
formatter: "{c}本",
|
||||
},
|
||||
},
|
||||
],
|
||||
});
|
||||
window.addEventListener("resize", () => chart.resize());
|
||||
} catch (e) {
|
||||
console.error("加载作者失败:", e);
|
||||
}
|
||||
}
|
||||
|
||||
// ===== 读书排行 =====
|
||||
async function loadTopBooks() {
|
||||
try {
|
||||
const data = await fetchAPI("/api/top-books");
|
||||
const grid = document.getElementById("topBooksGrid");
|
||||
|
||||
grid.innerHTML = data
|
||||
.map((book, i) => {
|
||||
const tagsHtml = book.tags
|
||||
.map((t) => `<span class="top-book-tag">${t}</span>`)
|
||||
.join("");
|
||||
return `
|
||||
<div class="top-book-card" onclick="openBook('${book.book_id}')">
|
||||
<div style="position:relative">
|
||||
<span class="top-book-rank">${i + 1}</span>
|
||||
<img class="top-book-cover" src="${book.cover}" alt="${book.title}"
|
||||
onerror="this.src='data:image/svg+xml,%3Csvg xmlns=%22http://www.w3.org/2000/svg%22 width=%22120%22 height=%22160%22%3E%3Crect fill=%22%23e8e0d4%22 width=%22120%22 height=%22160%22/%3E%3Ctext x=%2260%22 y=%2280%22 text-anchor=%22middle%22 fill=%22%239b8e80%22 font-size=%2214%22%3E无封面%3C/text%3E%3C/svg%3E'">
|
||||
</div>
|
||||
<div class="top-book-info">
|
||||
<div class="top-book-title">${book.title}</div>
|
||||
<div class="top-book-author">${book.author}</div>
|
||||
<div class="top-book-time">⏱ ${book.read_time_str}</div>
|
||||
${tagsHtml ? `<div class="top-book-tags">${tagsHtml}</div>` : ""}
|
||||
</div>
|
||||
</div>`;
|
||||
})
|
||||
.join("");
|
||||
} catch (e) {
|
||||
console.error("加载排行失败:", e);
|
||||
}
|
||||
}
|
||||
|
||||
// ===== 书架 =====
|
||||
let shelfCurrentPage = 1;
|
||||
|
||||
async function loadShelf(page) {
|
||||
shelfCurrentPage = page;
|
||||
const search = document.getElementById("shelfSearch").value;
|
||||
const finished = document.getElementById("finishedOnly").checked ? "1" : "0";
|
||||
const params = new URLSearchParams({
|
||||
page: page,
|
||||
per_page: 60,
|
||||
category: search,
|
||||
finished: finished,
|
||||
});
|
||||
|
||||
try {
|
||||
const data = await fetchAPI(`/api/shelf?${params}`);
|
||||
const grid = document.getElementById("bookGrid");
|
||||
|
||||
document.getElementById("shelfInfo").textContent =
|
||||
`共 ${data.total} 本 · 第 ${page}/${data.total_pages} 页`;
|
||||
|
||||
grid.innerHTML = data.books
|
||||
.map((book) => {
|
||||
const badges = [];
|
||||
if (book.is_top) badges.push(`<span class="book-top-badge">置顶</span>`);
|
||||
if (book.finish_reading) badges.push(`<span class="book-finished-badge">已读完</span>`);
|
||||
return `
|
||||
<div class="book-card" onclick="openBook('${book.book_id}')">
|
||||
<div class="book-cover-wrapper">
|
||||
<img class="book-cover-img" src="${book.cover}" alt="${book.title}"
|
||||
onerror="this.src='data:image/svg+xml,%3Csvg xmlns=%22http://www.w3.org/2000/svg%22 width=%22120%22 height=%22160%22%3E%3Crect fill=%22%23e8e0d4%22 width=%22120%22 height=%22160%22/%3E%3Ctext x=%2260%22 y=%2280%22 text-anchor=%22middle%22 fill=%22%239b8e80%22 font-size=%2212%22%3E无封面%3C/text%3E%3C/svg%3E'">
|
||||
${badges.join("")}
|
||||
</div>
|
||||
<div class="book-title">${book.title}</div>
|
||||
<div class="book-author">${book.author}</div>
|
||||
</div>`;
|
||||
})
|
||||
.join("");
|
||||
|
||||
// 分页
|
||||
renderPagination(page, data.total_pages);
|
||||
} catch (e) {
|
||||
console.error("加载书架失败:", e);
|
||||
}
|
||||
}
|
||||
|
||||
function renderPagination(current, total) {
|
||||
const pag = document.getElementById("pagination");
|
||||
if (total <= 1) {
|
||||
pag.innerHTML = "";
|
||||
return;
|
||||
}
|
||||
|
||||
let html = `<button class="page-btn" ${current <= 1 ? "disabled" : ""} onclick="loadShelf(${current - 1})">上一页</button>`;
|
||||
|
||||
const maxButtons = 7;
|
||||
let start = Math.max(1, current - 3);
|
||||
let end = Math.min(total, start + maxButtons - 1);
|
||||
start = Math.max(1, end - maxButtons + 1);
|
||||
|
||||
if (start > 1) {
|
||||
html += `<button class="page-btn" onclick="loadShelf(1)">1</button>`;
|
||||
if (start > 2) html += `<span class="page-info">...</span>`;
|
||||
}
|
||||
|
||||
for (let i = start; i <= end; i++) {
|
||||
html += `<button class="page-btn ${i === current ? "active" : ""}" onclick="loadShelf(${i})">${i}</button>`;
|
||||
}
|
||||
|
||||
if (end < total) {
|
||||
if (end < total - 1) html += `<span class="page-info">...</span>`;
|
||||
html += `<button class="page-btn" onclick="loadShelf(${total})">${total}</button>`;
|
||||
}
|
||||
|
||||
html += `<button class="page-btn" ${current >= total ? "disabled" : ""} onclick="loadShelf(${current + 1})">下一页</button>`;
|
||||
|
||||
pag.innerHTML = html;
|
||||
}
|
||||
|
||||
// 搜索和筛选事件
|
||||
document.getElementById("shelfSearch").addEventListener("input", debounce(() => loadShelf(1), 300));
|
||||
document.getElementById("finishedOnly").addEventListener("change", () => loadShelf(1));
|
||||
|
||||
function debounce(fn, delay) {
|
||||
let timer;
|
||||
return (...args) => {
|
||||
clearTimeout(timer);
|
||||
timer = setTimeout(() => fn(...args), delay);
|
||||
};
|
||||
}
|
||||
|
||||
// ===== 笔记概览 =====
|
||||
async function loadNotebooks() {
|
||||
try {
|
||||
const data = await fetchAPI("/api/notebooks");
|
||||
const summary = document.getElementById("notesSummary");
|
||||
|
||||
const totalHighlights = data.reduce((s, d) => s + d.note_count, 0);
|
||||
const totalReviews = data.reduce((s, d) => s + d.review_count, 0);
|
||||
const totalBookmarks = data.reduce((s, d) => s + d.bookmark_count, 0);
|
||||
|
||||
summary.innerHTML = `
|
||||
<div class="note-stat">
|
||||
<div class="note-stat-value">${data.length}</div>
|
||||
<div class="note-stat-label">有笔记的书</div>
|
||||
</div>
|
||||
<div class="note-stat">
|
||||
<div class="note-stat-value">${totalHighlights}</div>
|
||||
<div class="note-stat-label">划线</div>
|
||||
</div>
|
||||
<div class="note-stat">
|
||||
<div class="note-stat-value">${totalReviews}</div>
|
||||
<div class="note-stat-label">想法/点评</div>
|
||||
</div>
|
||||
<div class="note-stat">
|
||||
<div class="note-stat-value">${totalBookmarks}</div>
|
||||
<div class="note-stat-label">书签</div>
|
||||
</div>
|
||||
`;
|
||||
|
||||
const grid = document.getElementById("notebooksGrid");
|
||||
grid.innerHTML = data
|
||||
.map((nb) => {
|
||||
const progress = nb.reading_progress || 0;
|
||||
return `
|
||||
<div class="notebook-card">
|
||||
<img class="notebook-cover" src="${nb.cover}" alt="${nb.title}"
|
||||
onerror="this.src='data:image/svg+xml,%3Csvg xmlns=%22http://www.w3.org/2000/svg%22 width=%2260%22 height=%2280%22%3E%3Crect fill=%22%23e8e0d4%22 width=%2260%22 height=%2280%22/%3E%3C/svg%3E'">
|
||||
<div class="notebook-info">
|
||||
<div class="notebook-title">${nb.title}</div>
|
||||
<div class="notebook-author">${nb.author}</div>
|
||||
<div class="notebook-stats">
|
||||
<span class="notebook-stat-item">划线 <strong>${nb.note_count}</strong></span>
|
||||
<span class="notebook-stat-item">想法 <strong>${nb.review_count}</strong></span>
|
||||
<span class="notebook-stat-item">书签 <strong>${nb.bookmark_count}</strong></span>
|
||||
</div>
|
||||
<div class="notebook-progress">
|
||||
<div class="notebook-progress-bar" style="width: ${progress}%"></div>
|
||||
</div>
|
||||
</div>
|
||||
</div>`;
|
||||
})
|
||||
.join("");
|
||||
} catch (e) {
|
||||
console.error("加载笔记失败:", e);
|
||||
}
|
||||
}
|
||||
|
||||
// ===== 打开书籍 =====
|
||||
function openBook(bookId) {
|
||||
if (bookId) {
|
||||
window.open(`weread://reading?bId=${bookId}`, "_blank");
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,130 @@
|
||||
<!DOCTYPE html>
|
||||
<html lang="zh-CN">
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1.0">
|
||||
<title>我的读书数据</title>
|
||||
<link rel="stylesheet" href="/static/css/style.css">
|
||||
<script src="https://cdn.jsdelivr.net/npm/echarts@5.5.0/dist/echarts.min.js"></script>
|
||||
</head>
|
||||
<body>
|
||||
<!-- 导航栏 -->
|
||||
<nav class="navbar">
|
||||
<div class="nav-container">
|
||||
<div class="nav-logo">
|
||||
<span class="logo-icon">📖</span>
|
||||
<span class="logo-text">我的读书数据</span>
|
||||
</div>
|
||||
<div class="nav-links">
|
||||
<a href="#overview" class="nav-link active">总览</a>
|
||||
<a href="#charts" class="nav-link">数据图表</a>
|
||||
<a href="#top-books" class="nav-link">读书排行</a>
|
||||
<a href="#shelf" class="nav-link">书架</a>
|
||||
<a href="#notes" class="nav-link">笔记</a>
|
||||
</div>
|
||||
<div class="nav-update" id="fetchTime"></div>
|
||||
</div>
|
||||
</nav>
|
||||
|
||||
<!-- Hero 总览区 -->
|
||||
<section id="overview" class="hero-section">
|
||||
<div class="hero-bg"></div>
|
||||
<div class="hero-content">
|
||||
<h1 class="hero-title">阅读,是一场漫长的旅行</h1>
|
||||
<p class="hero-subtitle" id="heroSubtitle">正在加载数据...</p>
|
||||
<div class="hero-stats" id="heroStats">
|
||||
<!-- 动态填充 -->
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<!-- 核心数据卡片 -->
|
||||
<section class="stats-cards-section">
|
||||
<div class="container">
|
||||
<div class="stats-grid" id="statsGrid">
|
||||
<!-- 动态填充 -->
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<!-- 图表区 -->
|
||||
<section id="charts" class="charts-section">
|
||||
<div class="container">
|
||||
<h2 class="section-title">📊 阅读数据可视化</h2>
|
||||
<div class="charts-grid">
|
||||
<div class="chart-card large">
|
||||
<h3 class="chart-title">年度阅读时长趋势</h3>
|
||||
<div id="chart-yearly" class="chart-container"></div>
|
||||
</div>
|
||||
<div class="chart-card">
|
||||
<h3 class="chart-title">24小时阅读时段分布</h3>
|
||||
<div id="chart-hours" class="chart-container"></div>
|
||||
</div>
|
||||
<div class="chart-card">
|
||||
<h3 class="chart-title">偏好阅读分类</h3>
|
||||
<div id="chart-categories" class="chart-container"></div>
|
||||
</div>
|
||||
<div class="chart-card large">
|
||||
<h3 class="chart-title">偏好作者 TOP 10</h3>
|
||||
<div id="chart-authors" class="chart-container"></div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<!-- 读书排行 -->
|
||||
<section id="top-books" class="top-books-section">
|
||||
<div class="container">
|
||||
<h2 class="section-title">🏆 阅读时长排行</h2>
|
||||
<div class="top-books-grid" id="topBooksGrid">
|
||||
<!-- 动态填充 -->
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<!-- 书架 -->
|
||||
<section id="shelf" class="shelf-section">
|
||||
<div class="container">
|
||||
<h2 class="section-title">📚 我的书架</h2>
|
||||
<div class="shelf-controls">
|
||||
<div class="shelf-filters">
|
||||
<input type="text" id="shelfSearch" class="shelf-search" placeholder="搜索分类...">
|
||||
<label class="filter-checkbox">
|
||||
<input type="checkbox" id="finishedOnly"> 仅看已读完
|
||||
</label>
|
||||
</div>
|
||||
<div class="shelf-info" id="shelfInfo"></div>
|
||||
</div>
|
||||
<div class="book-grid" id="bookGrid">
|
||||
<!-- 动态填充 -->
|
||||
</div>
|
||||
<div class="pagination" id="pagination">
|
||||
<!-- 动态填充 -->
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<!-- 笔记 -->
|
||||
<section id="notes" class="notes-section">
|
||||
<div class="container">
|
||||
<h2 class="section-title">✍️ 笔记概览</h2>
|
||||
<div class="notes-summary" id="notesSummary">
|
||||
<!-- 动态填充 -->
|
||||
</div>
|
||||
<div class="notebooks-grid" id="notebooksGrid">
|
||||
<!-- 动态填充 -->
|
||||
</div>
|
||||
</div>
|
||||
</section>
|
||||
|
||||
<!-- 页脚 -->
|
||||
<footer class="footer">
|
||||
<div class="container">
|
||||
<p>数据来源:微信读书 · 数据存储:本地 SQLite · 更新时间:<span id="footerTime"></span></p>
|
||||
<p class="footer-hint">点击书籍封面可在微信读书 App 中打开</p>
|
||||
</div>
|
||||
</footer>
|
||||
|
||||
<script src="/static/js/app.js"></script>
|
||||
</body>
|
||||
</html>
|
||||
Reference in new issue
Block a user