feat(taff): layout colonne + modal positionné + chatbot flottant

- Grille : 3 colonnes → 1 colonne centrée 720px (respire, 16 fiches)
- Modal : top fixe 72px au lieu de top-1/2 (ne mord plus le header)
- Chatbot FAB : bouton fixe bas-droite + panel slide-in avec Mistral
- /api/chatbot-taff : endpoint dédié lisant plateformes-taff.json
- Cartes : layout restructuré tag/nom/axes/desc-3-lignes/footer

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Jules Neny
2026-05-07 00:57:58 +02:00
parent eb1bcf6080
commit 19ff17e236
2 changed files with 476 additions and 5 deletions

View File

@@ -135,6 +135,104 @@
</div>
</div>
<!-- ── Chatbot FAB ───────────────────────────────────────────── -->
<Teleport to="body">
<!-- Bouton flottant -->
<button
v-if="!chatOpen"
class="taff-fab"
@click="chatOpen = true"
aria-label="Ouvrir le guide IA — Quel plateforme me convient ?"
title="Guide IA — Je t'aide à choisir"
>
<svg width="20" height="20" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true">
<path d="M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z"/>
</svg>
<span class="taff-fab-label">Guide IA</span>
</button>
<!-- Panel chatbot -->
<Transition name="taff-chat">
<div v-if="chatOpen" class="taff-chat-panel" role="dialog" aria-modal="true" aria-label="Guide IA Choisir sa plateforme">
<!-- Header panel -->
<div class="taff-chat-header">
<div class="flex items-center gap-2">
<div class="taff-chat-avatar">
<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true" style="color: var(--nav-text-on-primary);">
<path d="M21 15a2 2 0 0 1-2 2H7l-4 4V5a2 2 0 0 1 2-2h14a2 2 0 0 1 2 2z"/>
</svg>
</div>
<div>
<div class="text-sm font-semibold" style="color: var(--nav-text);">Guide AEP</div>
<div class="text-xs" style="color: var(--nav-text-muted);">Je t'aide à choisir ta plateforme</div>
</div>
</div>
<button @click="chatOpen = false" class="taff-chat-close" aria-label="Fermer">
<svg width="14" height="14" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2.5" stroke-linecap="round">
<line x1="18" y1="6" x2="6" y2="18"/><line x1="6" y1="6" x2="18" y2="18"/>
</svg>
</button>
</div>
<!-- Messages -->
<div class="taff-chat-messages" ref="chatMessagesEl">
<!-- Message d'accueil -->
<div class="taff-msg taff-msg--bot">
<p>Dis-moi ta situation : ton secteur, ta zone, ce qui te bloque. Je t'oriente parmi les {{ allPlateformes.length }} plateformes de l'annuaire.</p>
<p class="text-xs mt-1.5 opacity-60">Ex : "Je suis en rénovation à Lyon, je cherche des leads sans commission."</p>
</div>
<!-- Messages de la conversation -->
<template v-for="(msg, i) in chatMessages" :key="i">
<div :class="['taff-msg', msg.role === 'user' ? 'taff-msg--user' : 'taff-msg--bot']">
<p>{{ msg.content }}</p>
</div>
<!-- Plateformes recommandées -->
<div v-if="msg.role === 'bot' && msg.recommandations?.length" class="taff-chat-recos">
<button
v-for="r in msg.recommandations"
:key="r.id"
class="taff-reco-chip"
@click="openModalById(r.id); chatOpen = false"
>
{{ r.nom }}
<span class="taff-reco-arrow">→</span>
</button>
</div>
</template>
<!-- Loader -->
<div v-if="chatLoading" class="taff-msg taff-msg--bot">
<span class="taff-typing"><span/><span/><span/></span>
</div>
</div>
<!-- Input -->
<div class="taff-chat-input-wrap">
<textarea
v-model="chatInput"
class="taff-chat-input"
placeholder="Décris ta situation..."
rows="2"
@keydown.enter.exact.prevent="sendChat"
/>
<button
class="taff-chat-send"
:disabled="chatLoading || !chatInput.trim()"
@click="sendChat"
aria-label="Envoyer"
>
<svg width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2.5" stroke-linecap="round" stroke-linejoin="round">
<line x1="22" y1="2" x2="11" y2="13"/><polygon points="22 2 15 22 11 13 2 9 22 2"/>
</svg>
</button>
</div>
<p class="taff-chat-footer-note">Propulsé par Mistral · 20 questions/jour</p>
</div>
</Transition>
</Teleport>
<!-- ── Note juridique ────────────────────────────────────────── -->
<div class="taff-disclaimer">
<p>
@@ -157,8 +255,8 @@
<Transition name="taff-modal">
<div
v-if="modalPlateforme"
class="fixed z-[10001] top-1/2 left-1/2 -translate-x-1/2 -translate-y-1/2 flex flex-col"
style="width: min(760px, 92vw); max-height: 90vh; background: var(--nav-bg); border-radius: 16px; box-shadow: 0 16px 64px rgba(26,34,56,0.28); overflow: hidden;"
class="fixed z-[10001] left-1/2 -translate-x-1/2 flex flex-col"
style="width: min(760px, 92vw); top: 72px; max-height: calc(100vh - 88px); background: var(--nav-bg); border-radius: 16px; box-shadow: 0 16px 64px rgba(26,34,56,0.28); overflow: hidden;"
role="dialog"
aria-modal="true"
:aria-label="modalPlateforme.nom"
@@ -389,6 +487,50 @@ function axeScoreText(score: string) {
const modalPlateforme = ref<PlateformeTaff | null>(null)
function openModal(p: PlateformeTaff) { modalPlateforme.value = p }
function closeModal() { modalPlateforme.value = null }
function openModalById(id: string) {
const p = allPlateformes.value.find(p => p.id === id)
if (p) modalPlateforme.value = p
}
// Chatbot
interface ChatMessage {
role: 'user' | 'bot'
content: string
recommandations?: { id: string; nom: string; raison: string }[]
}
const chatOpen = ref(false)
const chatInput = ref('')
const chatLoading = ref(false)
const chatMessages = ref<ChatMessage[]>([])
const chatMessagesEl = ref<HTMLElement | null>(null)
async function sendChat() {
const q = chatInput.value.trim()
if (!q || chatLoading.value) return
chatMessages.value.push({ role: 'user', content: q })
chatInput.value = ''
chatLoading.value = true
await nextTick()
chatMessagesEl.value?.scrollTo({ top: chatMessagesEl.value.scrollHeight, behavior: 'smooth' })
try {
const res = await $fetch<{ reponse_texte: string; plateformes_recommandees: { id: string; nom: string; raison: string }[] }>(
'/api/chatbot-taff',
{ method: 'POST', body: { question: q } }
)
chatMessages.value.push({
role: 'bot',
content: res.reponse_texte,
recommandations: res.plateformes_recommandees ?? [],
})
} catch (e: any) {
chatMessages.value.push({ role: 'bot', content: e?.data?.statusMessage ?? 'Erreur — réessaie dans un instant.' })
} finally {
chatLoading.value = false
await nextTick()
chatMessagesEl.value?.scrollTo({ top: chatMessagesEl.value.scrollHeight, behavior: 'smooth' })
}
}
const TAG_CONFIG: Record<string, { emoji: string; label: string; bg: string; text: string }> = {
'recommande': { emoji: '✅', label: 'Recommandé AEP', bg: 'rgba(90,122,74,0.12)', text: '#3d5534' },
@@ -448,7 +590,7 @@ const parsedDescription = computed(() => {
.taff-search-clear { color: var(--nav-text-muted); background: none; border: none; cursor: pointer; padding: 0; display: flex; }
.taff-grid-wrap { padding: 1.5rem; }
.taff-grid { display: grid; grid-template-columns: repeat(auto-fill, minmax(320px, 1fr)); gap: 1rem; }
.taff-grid { display: flex; flex-direction: column; gap: 0.75rem; max-width: 720px; margin: 0 auto; }
.taff-empty { text-align: center; padding: 3rem; }
.taff-reset-btn { margin-top: 0.75rem; padding: 0.5rem 1.25rem; border-radius: 8px; background: var(--nav-bg-alt); color: var(--nav-text); font-size: 0.875rem; border: none; cursor: pointer; }
.taff-reset-btn:hover { opacity: 0.7; }
@@ -464,9 +606,195 @@ const parsedDescription = computed(() => {
.modal-meta-key { font-size: 0.6875rem; text-transform: uppercase; letter-spacing: 0.05em; font-weight: 700; color: var(--nav-text-muted); }
.modal-meta-val { font-size: 0.875rem; font-weight: 500; color: var(--nav-text); }
/* Transitions */
/* Transitions modal */
.taff-backdrop-enter-active, .taff-backdrop-leave-active { transition: opacity 0.2s; }
.taff-backdrop-enter-from, .taff-backdrop-leave-to { opacity: 0; }
.taff-modal-enter-active, .taff-modal-leave-active { transition: opacity 0.2s, transform 0.2s; }
.taff-modal-enter-from, .taff-modal-leave-to { opacity: 0; transform: translate(-50%, calc(-50% + 12px)); }
.taff-modal-enter-from, .taff-modal-leave-to { opacity: 0; transform: translateX(-50%) translateY(-12px); }
/* ── Chatbot FAB ──────────────────────────────────────────────────── */
.taff-fab {
position: fixed;
bottom: 1.5rem;
right: 1.5rem;
z-index: 9998;
display: flex;
align-items: center;
gap: 0.5rem;
padding: 0.75rem 1.125rem;
border-radius: 9999px;
background: var(--nav-primary-solid);
color: var(--nav-text-on-primary);
font-size: 0.875rem;
font-weight: 600;
border: none;
cursor: pointer;
box-shadow: 0 4px 20px rgba(26,34,56,0.3);
transition: transform 0.15s, box-shadow 0.15s;
}
.taff-fab:hover { transform: translateY(-2px); box-shadow: 0 8px 28px rgba(26,34,56,0.35); }
.taff-fab-label { white-space: nowrap; }
/* Panel chatbot */
.taff-chat-panel {
position: fixed;
bottom: 1.5rem;
right: 1.5rem;
z-index: 9999;
width: min(380px, calc(100vw - 2rem));
max-height: calc(100vh - 4rem);
background: var(--nav-surface);
border-radius: 16px;
box-shadow: 0 8px 40px rgba(26,34,56,0.25);
display: flex;
flex-direction: column;
overflow: hidden;
border: 1px solid var(--nav-bg-alt);
}
.taff-chat-header {
display: flex;
align-items: center;
justify-content: space-between;
padding: 0.875rem 1rem;
border-bottom: 1px solid var(--nav-bg-alt);
background: var(--nav-surface);
flex-shrink: 0;
}
.taff-chat-avatar {
width: 32px; height: 32px;
border-radius: 50%;
background: var(--nav-primary-solid);
display: flex; align-items: center; justify-content: center;
flex-shrink: 0;
}
.taff-chat-close {
width: 28px; height: 28px;
border-radius: 8px;
background: var(--nav-bg-alt);
color: var(--nav-text-muted);
border: none; cursor: pointer;
display: flex; align-items: center; justify-content: center;
transition: opacity 0.15s;
}
.taff-chat-close:hover { opacity: 0.7; }
.taff-chat-messages {
flex: 1;
overflow-y: auto;
padding: 1rem;
display: flex;
flex-direction: column;
gap: 0.625rem;
}
.taff-msg {
padding: 0.625rem 0.875rem;
border-radius: 12px;
font-size: 0.875rem;
line-height: 1.55;
max-width: 92%;
}
.taff-msg--bot {
background: var(--nav-bg-alt);
color: var(--nav-text);
align-self: flex-start;
border-bottom-left-radius: 4px;
}
.taff-msg--user {
background: var(--nav-primary-solid);
color: var(--nav-text-on-primary);
align-self: flex-end;
border-bottom-right-radius: 4px;
}
.taff-chat-recos {
display: flex;
flex-wrap: wrap;
gap: 0.375rem;
align-self: flex-start;
max-width: 92%;
}
.taff-reco-chip {
display: inline-flex;
align-items: center;
gap: 0.25rem;
padding: 0.3rem 0.75rem;
border-radius: 9999px;
font-size: 0.8125rem;
font-weight: 600;
background: var(--nav-bg);
color: var(--nav-text);
border: 1px solid var(--nav-bg-alt);
cursor: pointer;
transition: background 0.15s;
}
.taff-reco-chip:hover { background: var(--nav-bg-alt); }
.taff-reco-arrow { opacity: 0.5; }
/* Typing indicator */
.taff-typing { display: inline-flex; gap: 4px; align-items: center; }
.taff-typing span {
width: 6px; height: 6px;
border-radius: 50%;
background: var(--nav-text-muted);
animation: taff-bounce 1.2s infinite;
}
.taff-typing span:nth-child(2) { animation-delay: 0.2s; }
.taff-typing span:nth-child(3) { animation-delay: 0.4s; }
@keyframes taff-bounce {
0%, 80%, 100% { transform: translateY(0); opacity: 0.4; }
40% { transform: translateY(-5px); opacity: 1; }
}
.taff-chat-input-wrap {
display: flex;
align-items: flex-end;
gap: 0.5rem;
padding: 0.75rem;
border-top: 1px solid var(--nav-bg-alt);
background: var(--nav-surface);
flex-shrink: 0;
}
.taff-chat-input {
flex: 1;
resize: none;
border: 1px solid var(--nav-bg-alt);
border-radius: 10px;
padding: 0.5rem 0.75rem;
font-size: 0.875rem;
background: var(--nav-bg);
color: var(--nav-text);
font-family: var(--nav-font);
outline: none;
line-height: 1.5;
}
.taff-chat-input::placeholder { color: var(--nav-text-muted); }
.taff-chat-input:focus { border-color: var(--nav-primary); }
.taff-chat-send {
width: 36px; height: 36px;
border-radius: 10px;
background: var(--nav-primary-solid);
color: var(--nav-text-on-primary);
border: none; cursor: pointer;
display: flex; align-items: center; justify-content: center;
flex-shrink: 0;
transition: opacity 0.15s;
}
.taff-chat-send:disabled { opacity: 0.4; cursor: not-allowed; }
.taff-chat-send:not(:disabled):hover { opacity: 0.85; }
.taff-chat-footer-note {
text-align: center;
font-size: 0.6875rem;
color: var(--nav-text-muted);
padding: 0.375rem;
background: var(--nav-surface);
flex-shrink: 0;
}
/* Transition panel chatbot */
.taff-chat-enter-active, .taff-chat-leave-active { transition: opacity 0.2s, transform 0.2s; }
.taff-chat-enter-from, .taff-chat-leave-to { opacity: 0; transform: translateY(12px) scale(0.97); }
</style>

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@@ -0,0 +1,143 @@
/**
* POST /api/chatbot-taff
* Chatbot d'aiguillage — Carte 3 "Trouver du taf"
* Lit plateformes-taff.json, appelle Mistral Small, retourne recommandations.
*/
import { readFileSync } from 'node:fs'
import { resolve } from 'node:path'
import { checkRateLimitJson } from '~/server/utils/rateLimitJson'
interface PlateformeMinimal {
id: string
nom: string
type: string
description_courte: string
scoring: {
remuneration: string | null
transparence: string | null
pratiques: string | null
ecologie: string | null
matching: string | null
tag_global: string
justification_tag: string
}
secteurs_servis: string[]
cout_entree: string
}
const SYSTEM_PROMPT = `Tu es un conseiller expert au service des architectes indépendants français. Tu connais toutes les plateformes de mise en relation architecte↔particulier et les agrégateurs d'appels d'offres publics référencés par AEP (Architecture d'Écologie Politique).
Ton rôle : aider l'architecte à choisir LA ou LES plateformes adaptées à sa situation, en t'appuyant exclusivement sur les données ci-dessous.
RÈGLES :
1. Ne recommande QUE des plateformes présentes dans le contexte ci-dessous.
2. Sois direct et opinionné — c'est ça la valeur d'AEP.
3. Si une plateforme est ❌ "À éviter", signale-le clairement.
4. Réponse max 250 mots, en français, ton conseiller pair.
5. Retourne UNIQUEMENT un JSON valide, sans texte avant ou après.
FORMAT :
{
"reponse_texte": "Ta réponse en prose, max 250 mots",
"plateformes_recommandees": [
{ "id": "slug-kebab", "nom": "Nom plateforme", "raison": "Pourquoi cette plateforme en 1 phrase" }
]
}
PLATEFORMES DISPONIBLES :
{{PLATEFORMES_JSON}}`
export default defineEventHandler(async (event) => {
const config = useRuntimeConfig()
const ip =
getHeader(event, 'x-forwarded-for')?.split(',')[0].trim() ||
event.node.req.socket?.remoteAddress ||
'0.0.0.0'
const allowed = checkRateLimitJson(ip, 'chatbot-taff', 20)
if (!allowed) {
throw createError({ statusCode: 429, statusMessage: 'Limite de 20 questions par jour atteinte.' })
}
const body = await readBody(event)
const question: string = (body?.question ?? '').trim()
if (!question || question.length < 5) {
throw createError({ statusCode: 400, statusMessage: 'Question trop courte.' })
}
// Lire le JSON statique des plateformes
let plateformes: PlateformeMinimal[] = []
try {
const jsonPath = resolve(process.cwd(), 'public/data/plateformes-taff.json')
const raw = JSON.parse(readFileSync(jsonPath, 'utf8'))
plateformes = (raw.plateformes ?? []).map((p: any) => ({
id: p.id,
nom: p.nom,
type: p.type,
description_courte: p.description_courte,
scoring: p.scoring,
secteurs_servis: p.secteurs_servis,
cout_entree: p.cout_entree,
}))
} catch (e) {
throw createError({ statusCode: 500, statusMessage: 'Données plateformes introuvables.' })
}
const context = plateformes.map(p => ({
id: p.id,
nom: p.nom,
type: p.type === 'b2c-mise-en-relation' ? 'B2C' : 'Appels offres publics',
tag: p.scoring.tag_global,
resume: p.description_courte,
secteurs: p.secteurs_servis.join(', '),
cout: p.cout_entree,
justification: p.scoring.justification_tag,
}))
const systemPrompt = SYSTEM_PROMPT.replace('{{PLATEFORMES_JSON}}', JSON.stringify(context, null, 0))
const mistralApiKey = config.mistralApiKey as string
if (!mistralApiKey) {
throw createError({ statusCode: 500, statusMessage: 'Clé API Mistral manquante.' })
}
let mistralRaw: string
try {
const res = await $fetch<{ choices: { message: { content: string } }[] }>(
'https://api.mistral.ai/v1/chat/completions',
{
method: 'POST',
headers: { Authorization: `Bearer ${mistralApiKey}`, 'Content-Type': 'application/json' },
body: JSON.stringify({
model: 'mistral-small-latest',
temperature: 0.3,
max_tokens: 700,
response_format: { type: 'json_object' },
messages: [
{ role: 'system', content: systemPrompt },
{ role: 'user', content: question },
],
}),
}
)
mistralRaw = res.choices?.[0]?.message?.content ?? '{}'
} catch {
throw createError({ statusCode: 502, statusMessage: 'Erreur IA — réessaie dans quelques instants.' })
}
try {
const parsed = JSON.parse(mistralRaw)
return {
reponse_texte: parsed.reponse_texte ?? "Je n'ai pas pu analyser ta demande.",
plateformes_recommandees: (parsed.plateformes_recommandees ?? []).map((r: any) => ({
id: r.id,
nom: r.nom ?? plateformes.find(p => p.id === r.id)?.nom ?? r.id,
raison: r.raison ?? '',
})),
}
} catch {
return { reponse_texte: "Je n'ai pas pu analyser ta demande.", plateformes_recommandees: [] }
}
})