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https://github.com/Nezumi-2711/astrbot_plugin_qq_group_daily_analysis.git
synced 2026-09-22 13:38:43 +00:00
feat: 优化 T2I 渲染与自定义配置
1. 支持配置两轮 T2I 渲染策略，允许用户自定义图片格式(PNG/JPEG)、质量、分辨率及超时时间。 2. 实现 T2I 返回 HTML 错误页的自动识别与摘要提取（如 502 Bad Gateway），提升故障排查效率。 - 参考 #174 关于 T2I 动态超时与配置的建议 - 参考 #171 关于处理 T2I 返回 HTML 错误信息的建议 - 解决了 [Feature Request] 支持配置 PNG/JPEG 渲染优先级，避免大报告场景下因本地大图保护而回退为文件发送 #164
This commit is contained in:
SXP-Simon
@@ -102,10 +102,19 @@ _✨ 一个基于 AstrBot 的智能群聊分析插件，支持 **QQ (OneBot)**
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> [!TIP]
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> 如果生成图片失败，日志显示 `[Core] [WARN] [v4.xx.0] [utils.logger:xx]: [xxxxx_xxx群_xxxx] [群分析插件] 渲染策略 {'full_page': True, 'type': 'xxx', 'quality': xxx, 'scale': 'device', 'device_scale_factor_level': 'xxx'} 返回了无效或空数据`、`Endpoint https://t2i.soulter.top/text2img failed`、`Endpoint https://t2i.rcfortress.site/text2img failed` 这种情况并回退到文本总结，可考虑自部署 T2I 服务。
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> **图片生成失败/渲染超时的解决办法**
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>
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> 如果生成图片失败，日志显示 `渲染策略 ... 返回了无效或空数据`、`Endpoint ... failed` 等并回退到文本总结，通常是因为日报内容过大导致 T2I 渲染超时（默认 30s 左右）。
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>
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> ### 1. 调整插件渲染参数
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> 插件现支持 **两轮渲染策略**，可在配置面板的 **图片渲染策略 (`t2i_rendering`)** 分组中按需调整：
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>
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> - **增加超时时间**：若日报极其复杂（包含大量内联 CSS/JS/图表），请将 `渲染超时 (ms)` 调大。建议范围：30,000ms - 180,000ms (3 分钟)。
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> - **优化回退策略**：建议第一轮使用 `png` + `ultra` 追求极致清晰；第二轮作为回退，建议使用 `jpeg` + `high/normal` 分辨率并配合更长的超时时间，以确保即使在资源受限的情况下也能产出报告。
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>
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> ### 2. 使用备用 T2I 服务或自部署
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> <details>
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> <summary><b>若不便自部署，可尝试使用以下 T2I 服务（点击展开）：</b></summary>
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> <summary><b>若配置调整后渲染仍频繁失败，可尝试更换 T2I 服务（点击展开）：</b></summary>
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>
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> - **Hugging Face 服务**: `https://huggingface.co/spaces/clown145/astrbot-t2i-service`
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> - **API 接口地址**: `https://clown145-astrbot-t2i-service.hf.space`
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@@ -119,7 +128,7 @@ _✨ 一个基于 AstrBot 的智能群聊分析插件，支持 **QQ (OneBot)**
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> - **说明**: 在国内直接访问原始域名下载图片可能较慢，可选择使用此代理域名。在一段时间内大概率稳定。
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> </details>
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>
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> **自部署 T2I 文档**：docs.astrbot.app/others/self-host-t2i.html
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> **自部署 T2I 文档**：[docs.astrbot.app/others/self-host-t2i.html](https://docs.astrbot.app/others/self-host-t2i.html)
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> [!IMPORTANT]
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>
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@@ -139,6 +139,85 @@
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}
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}
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},
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"t2i_rendering": {
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"description": "图片渲染策略",
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"type": "object",
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"hint": "配置 HTML 转图片的渲染参数。支持两轮尝试：第一轮优先保证质量，第二轮作为回退方案，建议使用更低的分辨率和质量以提高成功率。",
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"items": {
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"t2i_r1_type": {
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"type": "string",
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"description": "第一轮：图片格式",
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"options": ["jpeg", "png"],
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"default": "png",
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"hint": "建议：PNG 格式无损但体积较大；JPEG 格式体积较小。"
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},
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"t2i_r1_quality": {
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"type": "int",
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"description": "第一轮：图片质量 (若为 JPEG)",
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"default": 100,
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"slider": {
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"min": 1,
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"max": 100,
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"step": 1
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},
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"hint": "仅对 JPEG 格式生效。建议 80-100。"
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},
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"t2i_r1_device_scale": {
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"type": "string",
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"description": "第一轮：分辨率等级",
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"options": ["normal", "high", "ultra"],
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"default": "ultra",
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"hint": "影响图片清晰度。normal=1.0x, high=1.3x, ultra=1.8x。高质量日报建议 ultra。"
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},
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"t2i_r1_timeout": {
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"type": "int",
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"description": "第一轮：渲染超时 (ms)",
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"default": 50000,
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"slider": {
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"min": 30000,
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"max": 180000,
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"step": 5000
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},
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"hint": "单次渲染的最长等待时间。复杂页面建议调大。"
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},
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"t2i_r2_type": {
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"type": "string",
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"description": "第二轮 (回退)：图片格式",
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"options": ["jpeg", "png"],
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"default": "jpeg",
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"hint": "回退策略建议使用 jpeg 以减少渲染压力。"
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},
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"t2i_r2_quality": {
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"type": "int",
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"description": "第二轮 (回退)：图片质量 (若为 JPEG)",
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"default": 80,
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"slider": {
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"min": 1,
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"max": 100,
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"step": 1
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},
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"hint": "仅对 JPEG 格式生效。可以设置较低值以确保生成成功。"
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},
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"t2i_r2_device_scale": {
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"type": "string",
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"description": "第二轮 (回退)：分辨率等级",
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"options": ["normal", "high", "ultra"],
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"default": "high",
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"hint": "回退建议使用 high/normal 以降低复杂页面的内存消耗和超时概率。"
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},
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"t2i_r2_timeout": {
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"type": "int",
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"description": "第二轮 (回退)：渲染超时 (ms)",
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"default": 100000,
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"slider": {
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"min": 30000,
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"max": 180000,
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"step": 5000
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},
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"hint": "回退尝试通常针对复杂页面，建议设置更长的超时时间（如 100000ms+）。"
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}
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}
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},
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"auto_analysis": {
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"description": "定时分析设置",
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"type": "object",
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@@ -202,6 +202,29 @@ class ConfigManager:
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"""获取是否启用 Base64 图片传输"""
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return self._get_group("basic").get("enable_base64_image", False)
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def get_t2i_rendering_strategies(self) -> list[dict]:
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"""获取用户配置的两轮 T2I 渲染策略"""
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group = self._get_group("t2i_rendering")
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return [
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# 第一轮：质量优先
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{
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"full_page": True,
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"type": group.get("t2i_r1_type", "png"),
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"quality": group.get("t2i_r1_quality", 100),
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"device_scale_factor_level": group.get("t2i_r1_device_scale", "ultra"),
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"timeout": group.get("t2i_r1_timeout", 30000),
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},
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# 第二轮：稳定性/回退优先
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{
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"full_page": True,
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"type": group.get("t2i_r2_type", "jpeg"),
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"quality": group.get("t2i_r2_quality", 80),
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"device_scale_factor_level": group.get("t2i_r2_device_scale", "normal"),
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"timeout": group.get("t2i_r2_timeout", 60000),
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},
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]
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def get_llm_provider_id(self) -> str:
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"""获取主 LLM Provider ID"""
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return self._get_group("llm").get("llm_provider_id", "")
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@@ -366,54 +366,23 @@ class ReportGenerator(IReportGenerator):
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logger.info(f"图片报告HTML渲染完成，长度: {len(html_content)} 字符")
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# 从配置中获取两轮渲染策略
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render_strategies = self.config_manager.get_t2i_rendering_strategies()
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# 使用信号量控制并发进入渲染引擎
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async with self._render_semaphore:
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logger.debug(f"[T2I] 已进入渲染队列 (群: {group_id})")
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# 定义渲染策略
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render_strategies = [
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# 1. 第一策略: PNG, Ultra quality, Device scale
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{
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"full_page": True,
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"type": "png",
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"scale": "device",
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"device_scale_factor_level": "ultra",
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},
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# 2. 第二策略: JPEG, ultra, quality 100%, Device scale
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{
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"full_page": True,
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"type": "jpeg",
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"quality": 100,
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"scale": "device",
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"device_scale_factor_level": "ultra",
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},
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# 3. 第三策略: JPEG, high, quality 80%, Device scale
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{
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"full_page": True,
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"type": "jpeg",
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"quality": 95,
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"scale": "device",
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"device_scale_factor_level": "high", # 尝试高分辨率
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},
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# 4. 第四策略: JPEG, normal quality, Device scale (后备)
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{
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"full_page": True,
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"type": "jpeg",
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"quality": 80,
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"scale": "device",
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# normal quality
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},
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]
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last_exception = None
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for image_options in render_strategies:
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for attempt, image_options in enumerate(render_strategies, 1):
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try:
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# Cleanse options
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if image_options.get("type") == "png":
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image_options["quality"] = None
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image_options.pop("quality", None)
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logger.info(f"正在尝试第 {attempt} 轮渲染策略: {image_options}")
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logger.info(f"正在尝试渲染策略: {image_options}")
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# 改为获取 bytes 数据，避免 OneBot 无法访问内部 URL
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image_data = await html_render_func(
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html_content, # 渲染后的HTML内容
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@@ -444,6 +413,31 @@ class ReportGenerator(IReportGenerator):
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b"\xff\xd8"
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) or actual_data_head.startswith(b"\x89PNG"):
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is_valid = True
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else:
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# 尝试解析 HTML 错误（如 502 Bad Gateway）
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html_error = None
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if isinstance(image_data, bytes):
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html_error = self._extract_html_error_summary(
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image_data
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)
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elif isinstance(image_data, str) and os.path.exists(
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image_data
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):
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try:
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with open(image_data, "rb") as f:
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# 读取前 4KB 即可识别 HTML 错误
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html_error = (
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self._extract_html_error_summary(
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f.read(4096)
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)
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)
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except Exception:
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pass
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if html_error:
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logger.warning(
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f"[T2I] 渲染引擎返回了错误页面而非图片: {html_error}"
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)
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else:
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logger.warning(
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f"渲染结果似乎不是有效的图片数据 (头部: {actual_data_head.hex()})"
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@@ -454,23 +448,28 @@ class ReportGenerator(IReportGenerator):
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b64 = base64.b64encode(image_data).decode("utf-8")
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image_url = f"base64://{b64}"
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logger.info(
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f"图片生成成功 ({image_options}): [Base64 Data {len(image_data)} bytes]"
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f"图片生成成功 (轮次 {attempt}): [Base64 Data {len(image_data)} bytes]"
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)
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return image_url, html_content
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elif isinstance(image_data, str):
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logger.info(f"图片生成成功 (String): {image_data}")
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logger.info(
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f"图片生成成功 (轮次 {attempt}): {image_data}"
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)
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return image_data, html_content
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logger.warning(f"渲染策略 {image_options} 返回了无效或空数据")
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logger.warning(
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f"渲染轮次 {attempt} ({image_options['type']}) 返回了无效或空数据"
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)
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except Exception as e:
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logger.warning(f"渲染策略 {image_options} 失败: {e}")
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logger.warning(f"渲染轮次 {attempt} 失败: {e}")
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last_exception = e
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logger.warning("尝试下一个策略")
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if attempt < len(render_strategies):
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logger.info("准备尝试下一轮回退策略")
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continue
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# 如果所有策略都失败
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logger.error(f"所有渲染策略都失败。最后一个错误: {last_exception}")
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logger.error(f"所有渲染尝试都失败。最后一个错误: {last_exception}")
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return None, html_content
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except Exception as e:
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@@ -1071,3 +1070,28 @@ class ReportGenerator(IReportGenerator):
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logger.debug("头像缓存已关闭")
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except Exception as e:
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logger.warning(f"关闭头像缓存失败: {e}")
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def _extract_html_error_summary(self, data: bytes) -> str | None:
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"""从返回的字节流中尝试提取 HTML 错误信息（如 <title>）"""
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try:
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content = data.decode("utf-8", errors="ignore")
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content_lower = content.lower()
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if "<html" in content_lower or "<!doctype html" in content_lower:
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# 尝试提取标题
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title_match = re.search(
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r"<title>(.*?)</title>", content, re.IGNORECASE | re.DOTALL
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)
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if title_match:
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return f"HTML 错误页: {title_match.group(1).strip()}"
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# 尝试提取 h1
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h1_match = re.search(
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r"<h1>(.*?)</h1>", content, re.IGNORECASE | re.DOTALL
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)
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if h1_match:
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return f"HTML 错误页: {h1_match.group(1).strip()}"
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return f"HTML 响应 (前100字): {content[:100].strip()}..."
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except Exception:
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pass
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return None
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