Make use of OpenAI's "predicted outputs" feature #15
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审核指南由 Sourcery 提供该 PR 通过添加服务器端的 markdown 转换和通过流选项启用使用跟踪来增强提取功能。更改的重点是将 HTML 内容预处理为 markdown 格式，然后发送到 API，并通过流选项监控 API 使用情况。 增强提取功能的序列图sequenceDiagram
participant Client
participant Server
participant API
Client->>Server: 发送 HTML 内容
Server->>Server: 将 HTML 转换为 Markdown
Server->>API: 发送带有流选项的 Markdown 内容
API-->>Server: 返回带有使用跟踪的响应
Server-->>Client: 流式传输响应内容
更新提取功能的类图classDiagram
class ExtractFunction {
+extract(html: string)
}
class StreamOptions {
+include_usage: bool
}
class Prediction {
+type: string
+content: string
}
ExtractFunction --> StreamOptions
ExtractFunction --> Prediction
note for ExtractFunction "增强以将 HTML 转换为 Markdown 并包含流选项"
文件级更改
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获取帮助Original review guide in EnglishReviewer's Guide by SourceryThe PR enhances the extract function by adding server-side markdown conversion and enabling usage tracking through stream options. The changes focus on preprocessing HTML content into markdown format before sending it to the API and monitoring API usage through stream options. Sequence diagram for the enhanced extract functionsequenceDiagram
participant Client
participant Server
participant API
Client->>Server: Send HTML content
Server->>Server: Convert HTML to Markdown
Server->>API: Send Markdown content with stream options
API-->>Server: Return response with usage tracking
Server-->>Client: Stream response content
Class diagram for the updated extract functionclassDiagram
class ExtractFunction {
+extract(html: string)
}
class StreamOptions {
+include_usage: bool
}
class Prediction {
+type: string
+content: string
}
ExtractFunction --> StreamOptions
ExtractFunction --> Prediction
note for ExtractFunction "Enhanced to convert HTML to Markdown and include stream options"
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嗨 @CNSeniorious000 - 我已经审查了你的更改 - 这里有一些反馈：
总体评论：
- 考虑使用适当的日志基础设施而不是 console.error() 来进行使用跟踪，以确保在生产环境中更好的可观察性。
这是我在审查期间查看的内容
- 🟡 一般问题：发现1个问题
- 🟢 安全性：一切看起来都很好
- 🟢 测试：一切看起来都很好
- 🟢 复杂性：一切看起来都很好
- 🟢 文档：一切看起来都很好
帮助我变得更有用！请在每条评论上点击 👍 或 👎，我将使用反馈来改进你的评论。
Original comment in English
Hey @CNSeniorious000 - I've reviewed your changes - here's some feedback:
Overall Comments:
- Consider using proper logging infrastructure instead of console.error() for usage tracking to ensure better observability in production.
Here's what I looked at during the review
- 🟡 General issues: 1 issue found
- 🟢 Security: all looks good
- 🟢 Testing: all looks good
- 🟢 Complexity: all looks good
- 🟢 Documentation: all looks good
Help me be more useful! Please click 👍 or 👎 on each comment and I'll use the feedback to improve your reviews.
src/routes/api/extract/+server.ts
Outdated
| })) { | ||
| chunk.usage && console.error(chunk.usage) |
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建议： 考虑使用适当的日志系统而不是 console.error 进行使用跟踪
对于生产环境，结构化日志将使收集和分析使用数据更容易
if (chunk.usage) {
logger.info('API Usage', { usage: chunk.usage })
}Original comment in English
suggestion: Consider using a proper logging system instead of console.error for usage tracking
For production environments, structured logging would make it easier to collect and analyze usage data
if (chunk.usage) {
logger.info('API Usage', { usage: chunk.usage })
}![coderabbitai[bot]](https://avatars.githubusercontent.com/in/347564?s=60&v=4){kind=small}
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (3)
src/routes/api/extract/+server.ts (3)
Line range hint
13-13: 模型名称可能存在错误模型名称 "gpt-4o-mini" 看起来不像是有效的 OpenAI 模型。请确认是否应该是 "gpt-4" 或其他有效的模型名称。
建议修改：
- model: "gpt-4o-mini", + model: "gpt-4",
23-23: 建议改进日志记录方式当前使用
console.error记录使用情况不适合生产环境。建议：
- 使用proper的日志系统
- 考虑将日志级别改为 info 或 debug
建议实现类似：
- chunk.usage && console.error(chunk.usage) + chunk.usage && logger.info('API Usage:', chunk.usage)
Line range hint
11-28: 建议增加错误处理机制当前代码缺少对 OpenAI API 调用的完整错误处理。建议：
- 添加 try-catch 处理 API 错误
- 实现速率限制处理
- 添加超时处理
- 考虑添加重试机制
这些改进将提高系统的可靠性和稳定性。
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Review profile: CHILL
📒 Files selected for processing (1)
src/routes/api/extract/+server.ts(2 hunks)
🔇 Additional comments (2)
src/routes/api/extract/+server.ts (2)
5-5: 导入语句正确添加！
新增的 toMarkdown 导入符合需求，用于将 HTML 内容转换为 Markdown 格式。
20-21: 预测功能实现得当！
- 使用
toMarkdown进行预处理，有助于提高响应速度 - 添加
include_usage选项有助于跟踪和监控 API 使用情况
CNSeniorious000
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (3)
src/routes/api/extract/+server.ts (2)
Line range hint
13-20: 模型名称存在错误，需要修正模型名称 "gpt-4o-mini" 看起来是个拼写错误，这可能会导致 API 调用失败。请确认正确的模型名称。
新增的
prediction和stream_options配置很好地实现了使用预测输出来提升性能的目标。建议修改：
- model: "gpt-4o-mini", + model: "gpt-4", // 或其他有效的 OpenAI 模型名称
30-34: 建议增强错误处理机制当前的错误处理只检查了
html参数，建议同时验证markdown参数的存在性，并提供更详细的错误信息。建议修改：
- const { html, markdown } = await request.json() - if (!html) - error(400, "Missing request body") + const { html, markdown } = await request.json() + if (!html || !markdown) { + error(400, { + message: "Invalid request", + missing: [ + !html && "html", + !markdown && "markdown" + ].filter(Boolean) + }) + }src/routes/(static)/read/Right.svelte (1)
22-22: 优化请求体结构和错误处理代码变更符合需求，通过同时发送HTML和预转换的markdown来提升性能。
建议添加错误处理逻辑，以应对请求失败的情况：
async function fetchLLMResult() { llmResult = "" - const res = await fetch("/api/extract", { body: JSON.stringify({ html, markdown: readabilityResult }), method: "POST" }) + try { + const res = await fetch("/api/extract", { + body: JSON.stringify({ html, markdown: readabilityResult }), + method: "POST", + headers: { 'Content-Type': 'application/json' } + }) + if (!res.ok) { + throw new Error(`HTTP error! status: ${res.status}`) + } + for await (const delta of responseToTextStream(res)) + llmResult += delta + } catch (error) { + console.error('获取LLM结果失败:', error) + llmResult = '处理请求时发生错误，请重试。' + } - for await (const delta of responseToTextStream(res)) - llmResult += delta }
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (2)
src/routes/(static)/read/Right.svelte(1 hunks)src/routes/api/extract/+server.ts(2 hunks)
🔇 Additional comments (2)
src/routes/api/extract/+server.ts (2)
10-10: 函数签名更新符合需求！
函数签名的更新很好地支持了在服务器端处理 markdown 的新功能。
22-22: 请使用适当的日志系统
这个问题在之前的代码审查中已经提到过。建议使用结构化的日志系统来替代 console.error。
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Warning Only about 1/3 of the prediction tokens are accepted. |
predicted outputs#14This pull request includes updates to the
src/routes/api/extract/+server.tsfile, focusing on enhancing the functionality of theextractfunction by incorporating markdown conversion and stream options.Enhancements to
extractfunction:src/routes/api/extract/+server.ts: Added import fortoMarkdownfrom$lib/utils/html2mdto convert HTML content to markdown format.src/routes/api/extract/+server.ts: Updated theextractfunction to includepredictionwith markdown content andstream_optionswith usage tracking.Summary by Sourcery
通过合并 markdown 转换和流选项来增强提取功能，允许进行 HTML 到 markdown 的转换和使用情况跟踪。
新功能：
增强：
Original summary in English
Summary by Sourcery
Enhance the extract function by incorporating markdown conversion and stream options, allowing for HTML to markdown transformation and usage tracking.
New Features:
Enhancements:
Summary by CodeRabbit
新功能
错误修复
改进