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https://github.com/langbot-app/LangBot.git
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refactor: 请求处理控制流基础架构
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from __future__ import annotations
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import typing
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import os
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import base64
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import time
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import re
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from PIL import Image, ImageDraw, ImageFont
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from mirai.models import MessageChain, Image as ImageComponent
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from mirai.models.message import MessageComponent
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from .. import strategy as strategy_model
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class Text2ImageStrategy(strategy_model.LongTextStrategy):
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text_render_font: ImageFont.FreeTypeFont
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async def initialize(self):
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self.text_render_font = ImageFont.truetype(self.ap.cfg_mgr.data['font_path'], 32, encoding="utf-8")
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async def process(self, message: str) -> list[MessageComponent]:
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img_path = self.text_to_image(
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text_str=message,
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save_as='temp/{}.png'.format(int(time.time()))
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)
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compressed_path, size = self.compress_image(
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img_path,
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outfile="temp/{}_compressed.png".format(int(time.time()))
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)
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with open(compressed_path, 'rb') as f:
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img = f.read()
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b64 = base64.b64encode(img)
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# 删除图片
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os.remove(img_path)
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if os.path.exists(compressed_path):
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os.remove(compressed_path)
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return [
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ImageComponent(
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base64=b64.decode('utf-8'),
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)
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]
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def indexNumber(self, path=''):
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"""
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查找字符串中数字所在串中的位置
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:param path:目标字符串
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:return:<class 'list'>: <class 'list'>: [['1', 16], ['2', 35], ['1', 51]]
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"""
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kv = []
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nums = []
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beforeDatas = re.findall('[\d]+', path)
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for num in beforeDatas:
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indexV = []
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times = path.count(num)
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if times > 1:
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if num not in nums:
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indexs = re.finditer(num, path)
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for index in indexs:
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iV = []
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i = index.span()[0]
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iV.append(num)
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iV.append(i)
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kv.append(iV)
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nums.append(num)
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else:
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index = path.find(num)
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indexV.append(num)
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indexV.append(index)
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kv.append(indexV)
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# 根据数字位置排序
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indexSort = []
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resultIndex = []
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for vi in kv:
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indexSort.append(vi[1])
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indexSort.sort()
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for i in indexSort:
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for v in kv:
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if i == v[1]:
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resultIndex.append(v)
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return resultIndex
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def get_size(self, file):
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# 获取文件大小:KB
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size = os.path.getsize(file)
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return size / 1024
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def get_outfile(self, infile, outfile):
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if outfile:
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return outfile
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dir, suffix = os.path.splitext(infile)
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outfile = '{}-out{}'.format(dir, suffix)
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return outfile
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def compress_image(self, infile, outfile='', kb=100, step=20, quality=90):
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"""不改变图片尺寸压缩到指定大小
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:param infile: 压缩源文件
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:param outfile: 压缩文件保存地址
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:param mb: 压缩目标,KB
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:param step: 每次调整的压缩比率
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:param quality: 初始压缩比率
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:return: 压缩文件地址,压缩文件大小
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"""
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o_size = self.get_size(infile)
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if o_size <= kb:
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return infile, o_size
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outfile = self.get_outfile(infile, outfile)
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while o_size > kb:
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im = Image.open(infile)
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im.save(outfile, quality=quality)
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if quality - step < 0:
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break
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quality -= step
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o_size = self.get_size(outfile)
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return outfile, self.get_size(outfile)
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def text_to_image(self, text_str: str, save_as="temp.png", width=800):
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text_str = text_str.replace("\t", " ")
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# 分行
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lines = text_str.split('\n')
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# 计算并分割
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final_lines = []
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text_width = width-80
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self.ap.logger.debug("lines: {}, text_width: {}".format(lines, text_width))
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for line in lines:
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# 如果长了就分割
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line_width = self.text_render_font.getlength(line)
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self.ap.logger.debug("line_width: {}".format(line_width))
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if line_width < text_width:
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final_lines.append(line)
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continue
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else:
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rest_text = line
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while True:
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# 分割最前面的一行
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point = int(len(rest_text) * (text_width / line_width))
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# 检查断点是否在数字中间
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numbers = self.indexNumber(rest_text)
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for number in numbers:
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if number[1] < point < number[1] + len(number[0]) and number[1] != 0:
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point = number[1]
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break
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final_lines.append(rest_text[:point])
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rest_text = rest_text[point:]
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line_width = self.text_render_font.getlength(rest_text)
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if line_width < text_width:
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final_lines.append(rest_text)
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break
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else:
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continue
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# 准备画布
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img = Image.new('RGBA', (width, max(280, len(final_lines) * 35 + 65)), (255, 255, 255, 255))
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draw = ImageDraw.Draw(img, mode='RGBA')
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self.ap.logger.debug("正在绘制图片...")
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# 绘制正文
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line_number = 0
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offset_x = 20
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offset_y = 30
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for final_line in final_lines:
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draw.text((offset_x, offset_y + 35 * line_number), final_line, fill=(0, 0, 0), font=self.text_render_font)
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# 遍历此行,检查是否有emoji
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idx_in_line = 0
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for ch in final_line:
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# 检查字符占位宽
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char_code = ord(ch)
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if char_code >= 127:
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idx_in_line += 1
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else:
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idx_in_line += 0.5
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line_number += 1
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self.ap.logger.debug("正在保存图片...")
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img.save(save_as)
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return save_as
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