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https://github.com/Kakune55/ComiPy.git
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优化内存消耗 添加·单线程模式
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parent
0d68d58e3f
commit
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@ -1,7 +1,8 @@
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[server]
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port=8080
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debug=True
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debug=0
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host=0.0.0.0
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threaded=0
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[user]
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username=admin
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19
file.py
19
file.py
@ -71,21 +71,22 @@ def raedZip(bookid: str, index: int):
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def thumbnail(input,size=(400,800)):
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im = Image.open(io.BytesIO(input))
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del input
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im = im.convert('RGB')
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im.thumbnail(size)
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output_io = io.BytesIO()
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im.save(output_io,format='WEBP')
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newimg = im.convert('RGB')
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im.close()
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newimg.thumbnail(size)
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output_io = io.BytesIO()
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newimg.save(output_io,format='WEBP')
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newimg.close()
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output_io.seek(0)
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return output_io
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def imageToWebP(input):
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im = Image.open(io.BytesIO(input))
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del input
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im = im.convert('RGB')
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with Image.open(io.BytesIO(input)) as img:
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newimg = img.convert('RGB')
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img.close()
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output_io = io.BytesIO()
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im.save(output_io,format='WEBP')
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im.close()
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newimg.save(output_io,format='WEBP')
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newimg.close()
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output_io.seek(0)
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return output_io
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3
main.py
3
main.py
@ -24,7 +24,8 @@ app.register_blueprint(page_bp)
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if __name__ == "__main__":
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appinit()
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app.run(
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debug=config.get("server", "debug"),
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debug=config.getboolean("server", "debug"),
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host=config.get("server", "host"),
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port=config.get("server", "port"),
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threaded=config.getboolean("server", "threaded"),
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)
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@ -9,7 +9,7 @@ api_Img_bp = Blueprint("api_Img_bp", __name__)
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def img(bookid, index): # 图片接口
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if request.cookies.get("islogin") is None:
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return abort(403)
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if db.file.searchByid(bookid) == "":
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if len(db.file.searchByid(bookid)) == 0:
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return abort(404)
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# 设置响应类型为图片
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data, filename = file.raedZip(bookid, index)
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@ -36,7 +36,7 @@ def book(bookid): # 接口
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if request.cookies.get("islogin") is None:
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return abort(403)
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data = db.file.searchByid(bookid)
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if data == "":
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if len(data) == 0:
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return abort(404)
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data[0] = list(data[0])
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data[0][2] = data[0][2][0:-4] # 把文件扩展名去掉
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@ -55,7 +55,7 @@ def view(bookid): # 接口
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if request.cookies.get("islogin") is None:
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return abort(403)
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data = db.file.searchByid(bookid)
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if data == "":
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if len(data) == 0:
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return abort(404)
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return render_template("view.html", id=bookid, index=range(1, data[0][3]))
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