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\ No newline at end of file
diff --git a/.cache/kvs-node-localstorage/proofdict-lastUpdated b/.cache/kvs-node-localstorage/proofdict-lastUpdated
index da0fc5b..928f145 100644
--- a/.cache/kvs-node-localstorage/proofdict-lastUpdated
+++ b/.cache/kvs-node-localstorage/proofdict-lastUpdated
@@ -1 +1 @@
-1643713193328
\ No newline at end of file
+1688438957238
\ No newline at end of file
diff --git a/.vscode/settings.json b/.vscode/settings.json
index 8922728..d78d905 100644
--- a/.vscode/settings.json
+++ b/.vscode/settings.json
@@ -3,5 +3,6 @@
"editor.formatOnPaste": true,
"editor.formatOnSave": true,
"markdown.extension.toc.updateOnSave": false,
- "ruby.rubocop.onSave": false
+ "ruby.rubocop.onSave": false,
+ "japanese-proofreading.textlint.全角文字と半角文字の間": false
}
diff --git a/articles/9603a3990fcb18.md b/articles/9603a3990fcb18.md
index e3f7d01..17390b1 100644
--- a/articles/9603a3990fcb18.md
+++ b/articles/9603a3990fcb18.md
@@ -1,5 +1,5 @@
---
-title: "LangChainのSummarization ChainでWEBページを要約する時のプラクティス"
+title: "LangChainを使ってWEBサイトを要約する時のプラクティス"
emoji: "🦜"
type: "tech" # tech: 技術記事 / idea: アイデア
topics: ["langchain", "openai", "typescript"]
@@ -15,7 +15,7 @@ LangChainを使ってWebページを要約しようと思ったら色々詰ま
# 🚀 完成コード
-最初に完成コードから。LangChainを実行してWebページを要約するコード例です。
+最初に完成コードを。URLを引数で渡すとそのページの要約を出力してくれるスクリプトのコード例です。
```ts
import { OpenAI } from "langchain/llms/openai";
@@ -48,12 +48,16 @@ const summarization = async (url: string) => {
});
const docs = await loader.loadAndSplit();
- // 要約の実行
- const model = new OpenAI({ openAIApiKey: process.env.OPEN_AI_API_KEY, temperature: 0, modelName: "gpt-3.5-turbo" });
+ // モデルの指定 OpenAI gpt-3.5-turbo
+ const model = new OpenAI({ openAIApiKey: process.env.OPENAI_API_KEY, temperature: 0, modelName: "gpt-3.5-turbo" });
+
+ // promptの作成
const prompt = new PromptTemplate({
- template: `以下の文章を要約してください。\n\n---\n"{text}"---\n\n要約:`,
+ template: `以下の文章を要約してください。\n\n---\n{text}\n---\n\n要約:`,
inputVariables: ["text"],
});
+
+ // 要約の実行
const chain = loadSummarizationChain(model, {
combineMapPrompt: prompt,
combinePrompt: prompt,
@@ -84,26 +88,24 @@ https://note.com/ryo_kawamata/n/n4fc0fa900314
消防士から未経験でエンジニアに転職し、1年間働いた後に退職した人物が、自身の経歴や転職の理由、エンジニアとしての経験について語っている。JavaやSpring Bootでの実務経験を通じて、良い設計や型の利点、テストの重要性などを学び、静的型付け言語が好きになった。退職理由は家庭の事情で、リモートワークができる環境を求めた。転職先はクラウド請求管理サービスの会社で、RailsとVue.jsを勉強中。今後は成長し、事業に大きな影響を与える成果を出したいと考えている。
```
-# 🛠️ ポイント解説
+コードはすべて以下のリポジトリで公開しています。
-## PuppeteerWebBaseLoaderで要約ページのテキスト情報のみを種痘
+https://github.com/kawamataryo/sandbox-summary-by-langhchain
+
+# 🛠️ ポイント
+
+## PuppeteerWebBaseLoaderで要約ページのテキスト情報のみを取得する
SPAも考慮したWebページのテキスト情報を取得するために、PuppeteerWebBaseLoaderを使っています。ここでのポイントは、`evaluate`で取得したいテキスト情報のみを取得するようにすることです。
PuppeteerWebBaseLoaderのデフォルトでは、ページ情報の取得に`document.body.innerHTML`を使っています。
https://github.com/hwchase17/langchainjs/blob/8ddf206998f323ae2785371a6d0fdfabdf5a7ba2/langchain/src/document_loaders/web/puppeteer.ts#L61-L63
-`innerHTML`での取得だと、要約に不要なタグ情報や、インラインスタイル、スクリプト情報も含まれてしまいます。これがトークンの利用数をムダに増やしてしまう原因になります。
+`innerHTML`でのテキスト取得だと、要約に不要なHTMLのタグやCSS、scriptも含まれてしまいます。これがトークンの利用量をムダに増やしてしまう原因になります。
-`evaluate`をオプションで上書き、スクリプトやスタイル、タグ情報など不要な要素を削除した上で`innerText`で本文を取得することで、不要な情報によって要約結果が歪むことを防ぎ、APIのトークン利用数も節約できます。
+`evaluate`をオプションで上書き、必要な要素のみ`innerText`で本文を取得することで、不要な情報によって要約結果が歪むことを防ぎ、APIのトークン利用数も節約できます。
```ts
-//...
- const loader = new PuppeteerWebBaseLoader(url, {
- launchOptions: {
- headless: "new",
- args: ["--user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3"],
- },
async evaluate(page) {
const result = await page.evaluate(() => {
// 不要な要素を削除
@@ -119,54 +121,49 @@ https://github.com/hwchase17/langchainjs/blob/8ddf206998f323ae2785371a6d0fdfabdf
})
return result;
},
- });
-// ...
```
+:::message
+もし、要約を実行するWebページが限定されている場合は、それに合わせてevaluateの処理を変更することで、より正確な要約結果を得ることができます。
+:::
+
## LoadAndSplitでドキュメントを分割
完成コードではPuppeteerWebBaseLoaderで取得したテキスト情報をOpenAIのAPIに渡す際に、`loadAndSplit`を実行しています。
-PuppeteerWebBaseLoaderのドキュメントには、`Load`の方で記載されているので間違える人がいるかもしれませんが（自分😇）、`loadAndSplit`でドキュメントを分割しなければ、Summarization Chain を利用する旨味がありません。
-loadでdocsを生成すると、ページ情報が以下のようにひとつのドキュメントとして扱われてしまいます。
+https://github.com/kawamataryo/sandbox-summary-by-langhchain/blob/main/index.ts#L29
+
+PuppeteerWebBaseLoaderのドキュメントには、`Load`の方で記載されているので間違えた人がいるかもしれません（私😇）。しかし`loadAndSplit`でドキュメントを分割しなければ、Summarization Chain を利用する旨味がありません。
+
+`load` でdocsを生成すると、ページ情報が以下のように単一のドキュメントとして扱われてしまいます。
```
[
- {
- Document: {
- "pageContent: '消防士からエンジニアへ、そして退職\n...."
- },
- metadata: { ... }
- }
+ { Document: { "pageContent: '消防士からエンジニアへ、そして退職して\n...." }, metadata: { ... } }
]
```
-しかし、loadSplitでdocsを生成すると以下のように、よしなにドキュメントを分割してくれます。
+しかし、`loadSplit` でdocsを生成すると以下のように、ドキュメントを分割してくれます。
```
[
- {
- Document: {
- "pageContent: '消防士からエンジニアへ、そして退職\n...."
- },
- metadata: { ... }
- },
- {
- Document: {
- "pageContent: '前職では...
- },
- metadata: { ... }
- }
- {
- Document: {
- "pageContent: '筋肉.ktで筋肉を...
- },
- metadata: { ... }
- },
+ { Document: { "pageContent: '消防士からエンジニアへ、そして退職\n...." }, metadata: { ... } }
+ { Document: { "pageContent: '前職では...'}, metadata: { ... } }
+ { Document: { "pageContent: '筋肉KTでLTして...'}, metadata: { ... } }
....
]
```
-とくにページの文章量が多い場合は、ドキュメントを分割しないと、最大トークン数を超過してしまい、Summarization Chainの実行時にエラーが発生します。
+Summarization Chainは、分割されたdocumentを要約するChainです。とくにページの文章量が多い場合は、ドキュメントを分割しないと、モデルの最大トークン数を超過してしまい実行時にエラーが発生します。
-```ts
+loadAndSplitの引数にsplitterを指定しない場合、documentの分割には[RecursiveCharacterTextSplitter](https://js.langchain.com/docs/modules/indexes/text_splitters/examples/recursive_character)が使用されます。他のsplitterも指定できますが、基本はRecursiveCharacterTextSplitterでよいと思います。
+
+https://js.langchain.com/docs/modules/indexes/text_splitters/
+
+## Promptの上書き
+
+Summarization ChainではデフォルトのPromptを上書きすることが可能です。
+
+## Mapで要約結果を整形
+
+https://docs.langchain.com/docs/components/chains/index_related_chains
diff --git a/articles/98b7cc1c67ad0c.md b/articles/98b7cc1c67ad0c.md
new file mode 100644
index 0000000..f7a336b
--- /dev/null
+++ b/articles/98b7cc1c67ad0c.md
@@ -0,0 +1,107 @@
+---
+title: "LangChain を使って Hacker News の日本語要約 Bluesky ボットを作ってみた"
+emoji: "🪿"
+type: "tech" # tech: 技術記事 / idea: アイデア
+topics: ["LangChain", "Bluesky", "TypeScript"]
+published: true
+---
+
+便利なので使ってみてくださいー！
+
+# 🤖 作ったもの
+
+[Hacker News](https://news.ycombinator.com/) のトップ記事の日本語要約を定期投稿する Bluesky のボットです。
+
+https://bsky.app/profile/hacker-news-jp.bsky.social
+
+
+
+
+以下画像のように、Hacker News の記事のタイトルとリンクを投稿。そして、そのスレッドに記事内容の日本語要約も投稿してくれます。
+
+
+
+コードはすべてこちらで公開しています。
+
+https://github.com/kawamataryo/bsky-hacker-news-jp
+
+# 💘 モチベーション
+
+Geek な人々が使っている Hacker News から海外の最新情報を得たい!でも英語が絶望的に苦手 & Hacker News のデザインが質素すぎて購読するのがしんどい。という理由から、怠惰に情報を得られる手段として作りました。
+
+今のところストレスなく情報を得られているので、作ってよかったなと思っています。
+
+:::message
+Hacker News に興味を持った理由は、Hacker News からいつも最新の技術記事を紹介してくれる同僚の存在が大きいです。その方の投稿は、LAPRAS Tech News Talk で見られるのでぜひこちらも。.!
+
+- 📺[Lapras Tech News Talk](https://www.youtube.com/playlist?list=PLKbaztxP2P4jpdF0P5YbJNJwFabB-pksK)
+:::
+
+# 🛠️ 技術的なポイント
+
+簡単に構成と、詰まったところを紹介します。
+
+## 構成図
+
+構成は以前記事にした[GitHub Trending Bot](https://zenn.dev/ryo_kawamata/articles/ad4b88908f610b)とほぼ同じです。
+
+Firebase Cloud Functions の定期実行をトリガーに、[Hacker NewsのAPI](https://github.com/HackerNews/API) から記事を取得、LangChain で日本語要約を作成し、Bluesky の API を使って投稿しています。重複投稿を防ぐために、投稿履歴は Firestore に保存しています。
+
+
+
+## LangChainでの要約
+
+OpenAI の GPT-3.5 を LangChain の[summarization](https://js.langchain.com/docs/modules/chains/other_chains/summarization)経由で使い記事の要約文を生成しています。
+
+https://js.langchain.com/docs/modules/chains/other_chains/summarization
+
+[PuppeteerWebBaseLoader](https://js.langchain.com/docs/modules/indexes/document_loaders/examples/web_loaders/web_puppeteer)を使って、記事の内容から Document を作成、それを summarization に渡すけです。LangChain すごい。
+
+https://github.com/kawamataryo/bsky-hacker-news-jp/blob/main/functions/src/clients/openAIClient.ts#L16-L72
+
+Web ページのテキストを取得する PuppeteerWebBaseLoader の使い方で 2 つ詰まりどころがありました。
+
+1 つ目は取得テキストの指定です。
+当初、PuppeteerWebBaseLoader に何も option を与えず使っていたのですが、そうすると、うまく要約できないことが頻発しました。
+
+PuppeteerWebBaseLoader のデフォルトでは、ページ情報の取得に`document.body.innerHTML`を使われるため、要約に関係ないページの HTML タグ含めすべてを要約対象に入っていたことが原因でした。
+
+https://github.com/hwchase17/langchainjs/blob/8ddf206998f323ae2785371a6d0fdfabdf5a7ba2/langchain/src/document_loaders/web/puppeteer.ts#L61-L63
+
+これではトークンも無駄に消費してしまいお財布に痛いので、`document.body.innerText`を使うように evaluate オプションを指定しました。
+
+https://github.com/kawamataryo/bsky-hacker-news-jp/blob/main/functions/src/clients/openAIClient.ts#L46-L67
+
+2 つ目は`LoadAndSplit`メソッドの利用です。
+PuppeteerWebBaseLoader のドキュメントには、`Load`の方で記載されているので間違えた人がいるかもしれません（私😇）。しかし`loadAndSplit`でドキュメントを分割しなければ、Summarization Chain を利用する旨味がありません。
+
+Summarization Chain は、分割された document を再起的に要約する Chain です。とくにページの文章量が多い場合は、ドキュメントを分割しないと、モデルの最大トークン数を超過してしまい実行時エラーが発生します。トークン制限がきついモデルを使う場合は、必ず`LoadAndSplit`を使いましょう。
+
+https://github.com/kawamataryo/bsky-hacker-news-jp/blob/main/functions/src/clients/openAIClient.ts#L70
+
+## 記事要約のスレッド投稿
+
+LangChain で作成した要約文は、Bluesky の API を使って記事のスレッドに投稿しています。
+実装コードはこちらです。
+
+https://github.com/kawamataryo/bsky-hacker-news-jp/blob/main/functions/src/services/bskyService.ts#L173-L192
+
+Bluesky の投稿文字数の条件は 300 文字なので、要約文が 300 文字を超える場合は、要約文を分割して投稿しています。自然に読めるよう`。`や`、`の句点を起点に要約文を分割しています。
+
+
+
+https://github.com/kawamataryo/bsky-hacker-news-jp/blob/main/functions/src/services/bskyService.ts#L133-L171
+
+分割のコードはほぼすべて ChatGPT に書いてもらいました。最高便利。
+
+# おわりに
+
+Twitter の API 制限等々の影響か、最近 Bluesky が盛り上がってきて楽しいです。Hacker News Bot も便利なのでぜひ使ってみてくださいー！
+
+
+https://bsky.app/profile/hacker-news-jp.bsky.social
+
+自分のアカウントはこちら。ボットやツールなど色々作ってます。
+
+https://bsky.app/profile/kawamataryo.bsky.social
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