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
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
venv/
env/
.venv
# Database
*.db
*.db-journal
# IDE
.vscode/
.idea/
*.swp
*.swo
*~
# OS
.DS_Store
Thumbs.db
# Logs
*.log
# Env
.env
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# 2026-07-17 工作日志
## 微信读书数据展示网站
- 使用微信读书 API(weread-skills)拉取用户的阅读数据
- 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`
- 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
- 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
- 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
- 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
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。
## 项目结构
```
.
├── fetch_data.py # 数据采集脚本(从微信读书 API 拉取数据到 SQLite)
├── app.py # Flask 后端服务
├── weread.db # SQLite 数据库(运行 fetch_data.py 后生成)
├── requirements.txt # Python 依赖
├── templates/
│ └── index.html # 前端页面
└── static/
├── css/style.css # 样式文件
└── js/app.js # 前端逻辑
```
## 快速开始
### 1. 设置环境变量
```bash
export WEREAD_API_KEY=wrk-xxxxxxxx # 你的微信读书 API Key
```
### 2. 安装依赖
```bash
pip install -r requirements.txt
```
### 3. 采集数据
```bash
python fetch_data.py
```
将拉取书架、阅读统计、笔记等数据并存入 `weread.db`。
### 4. 启动网站
```bash
python app.py
```
访问 http://127.0.0.1:8080 即可查看读书数据展示。
## 功能模块
| 模块 | 说明 |
|------|------|
| 总览仪表盘 | 累计阅读时长、阅读天数、书架藏书数、笔记总数 |
| 年度趋势图 | 各年度阅读时长柱状图 |
| 时段分布 | 24 小时阅读时段分布折线图 |
| 偏好分类 | 阅读分类占比饼图 |
| 偏好作者 | 阅读最多的作者排行 |
| 读书排行 | 阅读时长最久的书籍 TOP 20 |
| 书架 | 全部书架书籍展示,支持分类筛选和已读完筛选 |
| 笔记概览 | 有笔记的书籍及划线/想法/书签统计 |
## 数据库表结构
| 表名 | 说明 |
|------|------|
| books | 书架书籍信息 |
| reading_stats | 阅读统计概要(overall/annually) |
| read_times | 阅读时长时间序列 |
| read_longest | 阅读时长最久的书籍 |
| prefer_categories | 偏好分类 |
| prefer_authors | 偏好作者 |
| prefer_time | 24 小时阅读时段分布 |
| notebooks | 笔记本概览 |
| read_stat_items | 阅读统计摘要项 |
| archives | 书单/归档 |
## 更新数据
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
"""
微信读书数据展示网站 - Flask 后端
提供 API 接口供前端查询本地 SQLite 数据库中的读书数据
"""
import json
import os
import sqlite3
import time
from datetime import datetime
from flask import Flask, jsonify, render_template, request
app = Flask(__name__, static_folder="static", template_folder="templates")
DB_PATH = os.path.join(os.path.dirname(os.path.abspath(__file__)), "weread.db")
def get_db():
conn = sqlite3.connect(DB_PATH)
conn.row_factory = sqlite3.Row
return conn
def ts_to_date(ts):
"""时间戳转日期字符串"""
if not ts or ts == 0:
return ""
return datetime.fromtimestamp(ts).strftime("%Y-%m-%d")
def ts_to_year(ts):
"""时间戳转年份"""
if not ts or ts == 0:
return ""
return datetime.fromtimestamp(ts).strftime("%Y")
def format_duration(seconds):
"""秒转可读时长"""
if not seconds:
return "0分钟"
hours = seconds // 3600
minutes = (seconds % 3600) // 60
if hours > 0:
return f"{hours}小时{minutes}分钟"
return f"{minutes}分钟"
@app.route("/")
def index():
return render_template("index.html")
@app.route("/api/overview")
def api_overview():
"""总览数据"""
conn = get_db()
c = conn.cursor()
# 总阅读统计
c.execute("SELECT * FROM reading_stats WHERE mode='overall' LIMIT 1")
overall = c.fetchone()
total_read_time = overall["total_read_time"] if overall else 0
read_days = overall["read_days"] if overall else 0
regist_time = overall["regist_time"] if overall else 0
# 今年统计
current_year = str(time.localtime().tm_year)
c.execute("SELECT * FROM reading_stats WHERE mode='annually' LIMIT 1")
annual = c.fetchone()
year_read_time = annual["total_read_time"] if annual else 0
year_read_days = annual["read_days"] if annual else 0
# 书架数量
c.execute("SELECT COUNT(*) as cnt FROM books")
shelf_count = c.fetchone()["cnt"]
# 读完数量
c.execute("SELECT COUNT(*) as cnt FROM books WHERE finish_reading=1")
finished_count = c.fetchone()["cnt"]
# 笔记统计
c.execute("SELECT COUNT(*) as cnt FROM notebooks")
notebook_count = c.fetchone()["cnt"]
c.execute("SELECT SUM(review_count + note_count + bookmark_count) as cnt FROM notebooks")
total_notes = c.fetchone()["cnt"] or 0
# 最近阅读时间
c.execute("SELECT MAX(read_update_time) as max_ts FROM books")
last_read_ts = c.fetchone()["max_ts"] or 0
# 采集时间
c.execute("SELECT value FROM fetch_meta WHERE key='last_fetch_time'")
fetch_row = c.fetchone()
fetch_time = fetch_row["value"] if fetch_row else ""
conn.close()
return jsonify({
"total_read_time": total_read_time,
"total_read_time_str": format_duration(total_read_time),
"read_days": read_days,
"year_read_time": year_read_time,
"year_read_time_str": format_duration(year_read_time),
"year_read_days": year_read_days,
"shelf_count": shelf_count,
"finished_count": finished_count,
"notebook_count": notebook_count,
"total_notes": total_notes,
"regist_time": ts_to_date(regist_time),
"last_read_time": ts_to_date(last_read_ts),
"fetch_time": fetch_time,
})
@app.route("/api/yearly-trend")
def api_yearly_trend():
"""年度阅读时长时间序列"""
conn = get_db()
c = conn.cursor()
c.execute(
"SELECT bucket_timestamp, duration FROM read_times WHERE mode='overall' ORDER BY bucket_timestamp"
)
rows = c.fetchall()
conn.close()
data = []
for row in rows:
year = ts_to_year(row["bucket_timestamp"])
hours = round(row["duration"] / 3600, 1)
data.append({"year": year, "hours": hours, "seconds": row["duration"]})
return jsonify(data)
@app.route("/api/top-books")
def api_top_books():
"""阅读时长最久的书籍"""
conn = get_db()
c = conn.cursor()
c.execute(
"""SELECT * FROM read_longest WHERE mode='overall'
ORDER BY read_time DESC LIMIT 20"""
)
rows = c.fetchall()
conn.close()
books = []
for row in rows:
tags = json.loads(row["tags"]) if row["tags"] else []
books.append({
"book_id": row["book_id"],
"title": row["title"],
"author": row["author"],
"cover": row["cover"],
"read_time": row["read_time"],
"read_time_str": format_duration(row["read_time"]),
"tags": tags,
})
return jsonify(books)
@app.route("/api/categories")
def api_categories():
"""偏好分类"""
conn = get_db()
c = conn.cursor()
c.execute(
"""SELECT * FROM prefer_categories WHERE mode='overall'
AND reading_time > 0
ORDER BY reading_time DESC"""
)
rows = c.fetchall()
conn.close()
cats = []
for row in rows:
cats.append({
"category_title": row["category_title"],
"parent_category_title": row["parent_category_title"],
"reading_time": row["reading_time"],
"reading_time_str": format_duration(row["reading_time"]),
"reading_count": row["reading_count"],
"val": row["val"],
})
return jsonify(cats)
@app.route("/api/authors")
def api_authors():
"""偏好作者"""
conn = get_db()
c = conn.cursor()
c.execute(
"""SELECT * FROM prefer_authors WHERE mode='overall'
ORDER BY count DESC LIMIT 20"""
)
rows = c.fetchall()
conn.close()
authors = []
for row in rows:
authors.append({
"name": row["name"],
"count": row["count"],
"read_time": row["read_time"],
})
return jsonify(authors)
@app.route("/api/time-distribution")
def api_time_distribution():
"""24小时阅读时段分布"""
conn = get_db()
c = conn.cursor()
c.execute(
"""SELECT hour_index, SUM(duration) as total
FROM prefer_time WHERE mode='overall'
GROUP BY hour_index ORDER BY hour_index"""
)
rows = c.fetchall()
conn.close()
dist = []
for row in rows:
dist.append({
"hour": row["hour_index"],
"duration": row["total"],
"duration_min": round(row["total"] / 60, 1),
})
return jsonify(dist)
@app.route("/api/shelf")
def api_shelf():
"""书架列表"""
page = int(request.args.get("page", 1))
per_page = int(request.args.get("per_page", 60))
category = request.args.get("category", "")
finished_only = request.args.get("finished", "0") == "1"
offset = (page - 1) * per_page
conn = get_db()
c = conn.cursor()
where_clauses = []
params = []
if category:
where_clauses.append("category LIKE ?")
params.append(f"%{category}%")
if finished_only:
where_clauses.append("finish_reading=1")
where_sql = " WHERE " + " AND ".join(where_clauses) if where_clauses else ""
c.execute(f"SELECT COUNT(*) as cnt FROM books{where_sql}", params)
total = c.fetchone()["cnt"]
c.execute(
f"SELECT * FROM books{where_sql} ORDER BY is_top DESC, read_update_time DESC LIMIT ? OFFSET ?",
params + [per_page, offset],
)
rows = c.fetchall()
# 获取分类列表
c.execute("SELECT DISTINCT category FROM books WHERE category != '' ORDER BY category")
categories = [r["category"] for r in c.fetchall()]
conn.close()
books = []
for row in rows:
books.append({
"book_id": row["book_id"],
"title": row["title"],
"author": row["author"],
"cover": row["cover"],
"category": row["category"],
"finish_reading": row["finish_reading"],
"read_update_time": ts_to_date(row["read_update_time"]),
"secret": row["secret"],
"is_top": row["is_top"],
"deep_link": row["deep_link"],
})
return jsonify({
"books": books,
"total": total,
"page": page,
"per_page": per_page,
"total_pages": (total + per_page - 1) // per_page,
"categories": categories,
})
@app.route("/api/notebooks")
def api_notebooks():
"""笔记本概览"""
conn = get_db()
c = conn.cursor()
c.execute(
"""SELECT * FROM notebooks
ORDER BY (review_count + note_count + bookmark_count) DESC"""
)
rows = c.fetchall()
conn.close()
notebooks = []
for row in rows:
total = row["review_count"] + row["note_count"] + row["bookmark_count"]
notebooks.append({
"book_id": row["book_id"],
"title": row["title"],
"author": row["author"],
"cover": row["cover"],
"review_count": row["review_count"],
"note_count": row["note_count"],
"bookmark_count": row["bookmark_count"],
"total_notes": total,
"reading_progress": row["reading_progress"],
"marked_status": row["marked_status"],
})
return jsonify(notebooks)
@app.route("/api/read-stats")
def api_read_stats():
"""阅读统计摘要项"""
conn = get_db()
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)
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#!/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()
+1
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flask>=3.0
+708
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/* ===== 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));
}
}
+556
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@@ -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");
}
}
+130
View File
@@ -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>