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サーバーアクションに変更&ドキュメントをAIに読ませる #14
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929763d
サーバーアクションに修正
hiromeee 06ee5e6
チャットAPIの呼び出しをfetchからサーバーアクションに変更
hiromeee 85891bf
AIにセクションごとに分けたドキュメントを与えるようにした
hiromeee 5dfab79
FormDataからオブジェクトに変更
hiromeee f41ec4d
Zodを使用してパラメータのバリデーションを追加
hiromeee 479306d
パラメータ型をzodスキーマに基づくChatParamsに変更
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,45 @@ | ||
| 'use server'; | ||
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| import { GoogleGenerativeAI } from "@google/generative-ai"; | ||
| import { z } from "zod"; | ||
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| interface FormState { | ||
| response: string; | ||
| error: string | null; | ||
| } | ||
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| const ChatSchema = z.object({ | ||
| userQuestion: z.string().min(1, { message: "メッセージを入力してください。" }), | ||
| documentContent: z.string().min(1, { message: "コンテキストとなるドキュメントがありません。"}), | ||
| }); | ||
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| const genAI = new GoogleGenerativeAI(process.env.API_KEY!); | ||
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| export async function askAI(params: unknown): Promise<FormState> { | ||
| const parseResult = ChatSchema.safeParse(params); | ||
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| if (!parseResult.success) { | ||
| return { | ||
| response: "", | ||
| error: parseResult.error.issues.map((e) => e.message).join(", "), | ||
| }; | ||
| } | ||
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| const { userQuestion, documentContent } = parseResult.data; | ||
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| try { | ||
| const model = genAI.getGenerativeModel({ model: "gemini-1.5-flash" }); | ||
| const fullMessage = documentContent + "\n\n" + userQuestion; | ||
| const result = await model.generateContent(fullMessage); | ||
| const response = result.response; | ||
| const text = response.text(); | ||
| return { response: text, error: null }; | ||
| } catch (error: unknown) { | ||
| console.error("Error calling Generative AI:", error); | ||
| if (error instanceof Error) { | ||
| return { response: '', error: `AIへのリクエスト中にエラーが発生しました: ${error.message}` }; | ||
| } | ||
| return { response: '', error: '予期せぬエラーが発生しました。' }; | ||
| } | ||
| } | ||
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TypeScriptの型指定はコードを書く際の間違いをチェックするためのもの、validationは実際の値のチェックのためで、目的が異なり両方必要です
(引数の型はここでは呼び出し側のためのもの)
と書くことで
と同じものがChatSchemaの定義から自動で作られます
(名前はChatSchemaでもChatParamsでもなんでもいいけど)