From ed091711c87db3f12e2e57cc2b76ae7084890657 Mon Sep 17 00:00:00 2001
From: Mathieu <mathieu.fort@gmail.com>
Date: Tue, 9 Jun 2026 09:42:26 +0200
Subject: [PATCH] =?UTF-8?q?feat(plan5):=20openaiClient=20=E2=80=94=20g?=
 =?UTF-8?q?=C3=A9n=C3=A9ration=20descriptions=20GPT-4o=20(TDD)?=
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---
 src/lib/openaiClient.test.ts | 46 ++++++++++++++++++++++++++++++++++++
 src/lib/openaiClient.ts      | 46 ++++++++++++++++++++++++++++++++++++
 2 files changed, 92 insertions(+)
 create mode 100644 src/lib/openaiClient.test.ts
 create mode 100644 src/lib/openaiClient.ts

diff --git a/src/lib/openaiClient.test.ts b/src/lib/openaiClient.test.ts
new file mode 100644
index 0000000..0a5c607
--- /dev/null
+++ b/src/lib/openaiClient.test.ts
@@ -0,0 +1,46 @@
+import { generateDescriptions } from './openaiClient'
+
+const mockFetch = jest.fn()
+global.fetch = mockFetch
+
+const mockResponse = (content: string) => ({
+  ok: true,
+  json: async () => ({ choices: [{ message: { content } }] }),
+})
+
+describe('generateDescriptions', () => {
+  beforeEach(() => {
+    process.env.OPENAI_API_KEY = 'sk-test'
+    mockFetch.mockReset()
+  })
+
+  it('retourne shortDesc et longDesc depuis OpenAI', async () => {
+    mockFetch
+      .mockResolvedValueOnce(mockResponse('<p>Description courte</p>'))
+      .mockResolvedValueOnce(mockResponse('<p>Description longue</p>'))
+    const result = await generateDescriptions({
+      title: 'Perceuse', rawDescription: 'Une perceuse', comment: '', vendor: 'BOSCH', famille: 'OUTILLAGE',
+    })
+    expect(result.shortDesc).toBe('<p>Description courte</p>')
+    expect(result.longDesc).toBe('<p>Description longue</p>')
+    expect(mockFetch).toHaveBeenCalledTimes(2)
+  })
+
+  it('lance les deux requêtes en parallèle', async () => {
+    mockFetch.mockResolvedValue(mockResponse('<p>ok</p>'))
+    await generateDescriptions({ title: 'T', rawDescription: '', comment: '', vendor: '', famille: '' })
+    expect(mockFetch).toHaveBeenCalledTimes(2)
+  })
+
+  it('lance une erreur si OPENAI_API_KEY manquant', async () => {
+    delete process.env.OPENAI_API_KEY
+    await expect(generateDescriptions({ title: 'T', rawDescription: '', comment: '', vendor: '', famille: '' }))
+      .rejects.toThrow('OPENAI_API_KEY')
+  })
+
+  it('lance une erreur si la réponse OpenAI est non-ok', async () => {
+    mockFetch.mockResolvedValue({ ok: false, status: 429, text: async () => 'rate limited' })
+    await expect(generateDescriptions({ title: 'T', rawDescription: '', comment: '', vendor: '', famille: '' }))
+      .rejects.toThrow('429')
+  })
+})
diff --git a/src/lib/openaiClient.ts b/src/lib/openaiClient.ts
new file mode 100644
index 0000000..441b497
--- /dev/null
+++ b/src/lib/openaiClient.ts
@@ -0,0 +1,46 @@
+interface DescriptionInput {
+  title: string
+  rawDescription: string
+  comment: string
+  vendor: string
+  famille: string
+}
+
+interface Descriptions {
+  shortDesc: string
+  longDesc: string
+}
+
+async function callOpenAI(prompt: string): Promise<string> {
+  const apiKey = process.env.OPENAI_API_KEY
+  if (!apiKey) throw new Error('OPENAI_API_KEY requis')
+  const res = await fetch('https://api.openai.com/v1/chat/completions', {
+    method: 'POST',
+    headers: { 'Content-Type': 'application/json', Authorization: `Bearer ${apiKey}` },
+    body: JSON.stringify({ model: 'gpt-4o', messages: [{ role: 'user', content: prompt }], temperature: 0.7 }),
+  })
+  if (!res.ok) {
+    const err = await res.text()
+    throw new Error(`OpenAI API error: ${res.status} — ${err}`)
+  }
+  const data = await res.json()
+  return (data.choices?.[0]?.message?.content ?? '').trim()
+}
+
+function buildPrompt(input: DescriptionInput, length: number): string {
+  return `A partir des caractéristiques suivantes, crée un texte descriptif de ${length} caractères en faisant attention au SEO pour qu'il soit en rapport avec la catégorie ${input.famille} et le produit ${input.title} :
+Nom = ${input.title}
+Description : ${input.rawDescription}
+Commentaire : ${input.comment}
+Marque : ${input.vendor}
+Formate ce texte en HTML.
+Ta réponse doit commencer directement par une balise HTML (comme <p> ou <h1>), sans bloc \`\`\`html, sans aucun mot ou encadré autour.`
+}
+
+export async function generateDescriptions(input: DescriptionInput): Promise<Descriptions> {
+  const [shortDesc, longDesc] = await Promise.all([
+    callOpenAI(buildPrompt(input, 400)),
+    callOpenAI(buildPrompt(input, 1000)),
+  ])
+  return { shortDesc, longDesc }
+}