|
@@ -0,0 +1,44 @@
|
|
|
|
|
+import sqlite3
|
|
|
|
|
+import io
|
|
|
|
|
+from PIL import Image
|
|
|
|
|
+
|
|
|
|
|
+# 连接到SQLite数据库
|
|
|
|
|
+conn = sqlite3.connect('/Users/alvin/memos_prod.db')
|
|
|
|
|
+cursor = conn.cursor()
|
|
|
|
|
+
|
|
|
|
|
+# 查询不是webp格式的图片数据
|
|
|
|
|
+cursor.execute("SELECT id, filename, `blob`, type, size FROM resource WHERE type like 'image%' AND type != 'image/webp'")
|
|
|
|
|
+
|
|
|
|
|
+# 获取查询结果的所有行
|
|
|
|
|
+rows = cursor.fetchall()
|
|
|
|
|
+
|
|
|
|
|
+# 遍历查询结果
|
|
|
|
|
+for row in rows:
|
|
|
|
|
+ # 解析每一行的数据
|
|
|
|
|
+ image_id = row[0]
|
|
|
|
|
+ filename = row[1]
|
|
|
|
|
+ blob = row[2]
|
|
|
|
|
+ old_type = row[3]
|
|
|
|
|
+ old_size = row[4]
|
|
|
|
|
+
|
|
|
|
|
+ # 将BLOB数据转换为PIL Image对象
|
|
|
|
|
+ image = Image.open(io.BytesIO(blob))
|
|
|
|
|
+
|
|
|
|
|
+ # 创建一个新的内存缓冲区
|
|
|
|
|
+ new_blob = io.BytesIO()
|
|
|
|
|
+
|
|
|
|
|
+ # 将图片压缩为webp格式并保存到新的内存缓冲区
|
|
|
|
|
+ image.save(new_blob, format='webp', quality=90)
|
|
|
|
|
+
|
|
|
|
|
+ # 获取新的图片数据和相关信息
|
|
|
|
|
+ new_blob_data = new_blob.getvalue()
|
|
|
|
|
+ new_size = len(new_blob_data)
|
|
|
|
|
+ new_filename = filename.rsplit('.', 1)[0] + '.webp'
|
|
|
|
|
+ new_type = 'image/webp'
|
|
|
|
|
+
|
|
|
|
|
+ # 更新数据库中的记录
|
|
|
|
|
+ cursor.execute("UPDATE resource SET filename=?, blob=?, type=?, size=? WHERE id=?", (new_filename, new_blob_data, new_type, new_size, image_id))
|
|
|
|
|
+
|
|
|
|
|
+# 提交事务并关闭连接
|
|
|
|
|
+conn.commit()
|
|
|
|
|
+conn.close()
|
tianyun