feat: Intégration d'un assistant IA logisticien basé sur Gemini
- Ajout d'une Cloud Function `aiEquipmentProposal` utilisant le modèle Gemini avec function calling pour suggérer du matériel et des containers. - Implémentation de plusieurs outils (tools) côté serveur pour permettre à l'IA d'interagir avec Firestore : `search_equipment`, `check_availability_batch`, `get_past_events`, `search_event_reference` et `search_containers`. - Ajout de la dépendance `@google/generative-ai` dans le backend. - Création d'un service Flutter `AiEquipmentAssistantService` pour communiquer avec la nouvelle Cloud Function. - Ajout d'une interface de dialogue `AiEquipmentAssistantDialog` permettant aux utilisateurs de discuter avec l'IA pour affiner les propositions de matériel. - Intégration de l'assistant IA dans la section de gestion du matériel des événements (`EventAssignedEquipmentSection`). - Mise à jour de `DataService` avec de nouvelles méthodes de recherche et de vérification de disponibilité optimisées pour l'assistant. - Activation du mode développement et configuration des identifiants de test dans `env.dart`. - Optimisation des paramètres de la Cloud Function (timeout de 300s et 1GiB de RAM) pour supporter les traitements IA.
This commit is contained in:
178
em2rp/lib/services/ai_equipment_assistant_service.dart
Normal file
178
em2rp/lib/services/ai_equipment_assistant_service.dart
Normal file
@@ -0,0 +1,178 @@
|
||||
import 'dart:async';
|
||||
|
||||
import 'package:em2rp/models/event_model.dart';
|
||||
import 'package:em2rp/services/api_service.dart';
|
||||
import 'package:em2rp/utils/debug_log.dart';
|
||||
|
||||
/// Représente un tour de conversation dans le chat.
|
||||
class AiAssistantChatTurn {
|
||||
final bool isUser;
|
||||
final String text;
|
||||
|
||||
const AiAssistantChatTurn({required this.isUser, required this.text});
|
||||
}
|
||||
|
||||
/// Un item proposé par l'IA dans la liste de matériel.
|
||||
class AiEquipmentProposalItem {
|
||||
final String equipmentId;
|
||||
final int quantity;
|
||||
final String rationale;
|
||||
|
||||
const AiEquipmentProposalItem({
|
||||
required this.equipmentId,
|
||||
required this.quantity,
|
||||
required this.rationale,
|
||||
});
|
||||
}
|
||||
|
||||
/// Proposition complète retournée par l'IA.
|
||||
class AiEquipmentProposal {
|
||||
final String summary;
|
||||
final List<AiEquipmentProposalItem> items;
|
||||
|
||||
/// Équipements individuels prêts à être injectés dans l'état local de l'événement.
|
||||
final List<EventEquipment> asEventEquipment;
|
||||
|
||||
/// IDs des containers (flight cases) proposés par l'IA.
|
||||
final List<String> containerIds;
|
||||
|
||||
const AiEquipmentProposal({
|
||||
required this.summary,
|
||||
required this.items,
|
||||
required this.asEventEquipment,
|
||||
required this.containerIds,
|
||||
});
|
||||
}
|
||||
|
||||
/// Réponse complète de l'assistant IA (message + proposition optionnelle).
|
||||
class AiEquipmentAssistantResponse {
|
||||
final String assistantMessage;
|
||||
final AiEquipmentProposal? proposal;
|
||||
|
||||
const AiEquipmentAssistantResponse({
|
||||
required this.assistantMessage,
|
||||
this.proposal,
|
||||
});
|
||||
}
|
||||
|
||||
/// Service assistant IA logisticien.
|
||||
/// Délègue tous les appels Gemini à la Cloud Function [aiEquipmentProposal].
|
||||
/// L'authentification Firebase (token Bearer) suffit — aucune clé API côté client.
|
||||
class AiEquipmentAssistantService {
|
||||
final ApiService _apiService;
|
||||
|
||||
AiEquipmentAssistantService({ApiService? apiService})
|
||||
: _apiService = apiService ?? FirebaseFunctionsApiService();
|
||||
|
||||
/// Envoie un message et retourne la réponse de l'assistant IA.
|
||||
Future<AiEquipmentAssistantResponse> generateProposal({
|
||||
required DateTime startDate,
|
||||
required DateTime endDate,
|
||||
required List<AiAssistantChatTurn> history,
|
||||
required String userMessage,
|
||||
String? eventTypeId,
|
||||
String? excludeEventId,
|
||||
List<EventEquipment> currentAssignedEquipment = const [],
|
||||
List<EventEquipment> workingProposalEquipment = const [],
|
||||
}) async {
|
||||
final payload = <String, dynamic>{
|
||||
'startDate': startDate.toIso8601String(),
|
||||
'endDate': endDate.toIso8601String(),
|
||||
'userMessage': userMessage.trim(),
|
||||
'history': history
|
||||
.where((turn) => turn.text.trim().isNotEmpty)
|
||||
.map((turn) => {'isUser': turn.isUser, 'text': turn.text.trim()})
|
||||
.toList(),
|
||||
'currentEquipment': currentAssignedEquipment
|
||||
.map((eq) => {'equipmentId': eq.equipmentId, 'quantity': eq.quantity})
|
||||
.toList(),
|
||||
'workingProposal': workingProposalEquipment
|
||||
.map((eq) => {'equipmentId': eq.equipmentId, 'quantity': eq.quantity})
|
||||
.toList(),
|
||||
};
|
||||
|
||||
if (eventTypeId != null) payload['eventTypeId'] = eventTypeId;
|
||||
if (excludeEventId != null) payload['excludeEventId'] = excludeEventId;
|
||||
|
||||
try {
|
||||
DebugLog.info('[AiEquipmentAssistantService] Calling aiEquipmentProposal Cloud Function');
|
||||
|
||||
final result = await _apiService.call('aiEquipmentProposal', payload);
|
||||
final assistantMessage = result['assistantMessage']?.toString().trim() ?? '';
|
||||
final proposal = _parseProposal(result['proposal']);
|
||||
|
||||
DebugLog.info(
|
||||
'[AiEquipmentAssistantService] Response received, items: ${proposal?.items.length ?? 0}',
|
||||
);
|
||||
|
||||
return AiEquipmentAssistantResponse(
|
||||
assistantMessage: assistantMessage.isNotEmpty
|
||||
? assistantMessage
|
||||
: 'Je n\'ai pas pu générer de réponse.',
|
||||
proposal: proposal,
|
||||
);
|
||||
} on ApiException catch (e) {
|
||||
DebugLog.error('[AiEquipmentAssistantService] API error', e);
|
||||
if (e.isUnauthorized) {
|
||||
throw Exception('Vous n\'êtes pas authentifié. Reconnectez-vous et réessayez.');
|
||||
}
|
||||
throw Exception('Erreur du service IA (${e.statusCode}): ${e.message}');
|
||||
} catch (e) {
|
||||
DebugLog.error('[AiEquipmentAssistantService] Error', e);
|
||||
rethrow;
|
||||
}
|
||||
}
|
||||
|
||||
AiEquipmentProposal? _parseProposal(dynamic rawProposal) {
|
||||
if (rawProposal == null || rawProposal is! Map<String, dynamic>) return null;
|
||||
|
||||
final proposalItems = <AiEquipmentProposalItem>[];
|
||||
final eventEquipmentList = <EventEquipment>[];
|
||||
final containerIds = <String>[];
|
||||
|
||||
final rawItems = rawProposal['items'];
|
||||
if (rawItems is List) {
|
||||
for (final rawItem in rawItems) {
|
||||
if (rawItem is! Map) continue;
|
||||
final item = Map<String, dynamic>.from(rawItem);
|
||||
|
||||
final equipmentId = item['equipmentId']?.toString().trim() ?? '';
|
||||
final quantity = int.tryParse(item['quantity']?.toString() ?? '1') ?? 1;
|
||||
|
||||
if (equipmentId.isEmpty || quantity <= 0) continue;
|
||||
|
||||
final rationale = item['rationale']?.toString().trim() ?? 'Proposition IA';
|
||||
|
||||
proposalItems.add(AiEquipmentProposalItem(
|
||||
equipmentId: equipmentId,
|
||||
quantity: quantity,
|
||||
rationale: rationale,
|
||||
));
|
||||
eventEquipmentList.add(EventEquipment(equipmentId: equipmentId, quantity: quantity));
|
||||
}
|
||||
}
|
||||
|
||||
final rawContainers = rawProposal['containers'];
|
||||
if (rawContainers is List) {
|
||||
for (final rawContainer in rawContainers) {
|
||||
if (rawContainer is! Map) continue;
|
||||
final container = Map<String, dynamic>.from(rawContainer);
|
||||
final containerId = container['containerId']?.toString().trim() ?? '';
|
||||
if (containerId.isNotEmpty) {
|
||||
containerIds.add(containerId);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
if (proposalItems.isEmpty && containerIds.isEmpty) return null;
|
||||
|
||||
return AiEquipmentProposal(
|
||||
summary: rawProposal['summary']?.toString().trim().isNotEmpty == true
|
||||
? rawProposal['summary'].toString().trim()
|
||||
: 'Proposition matériel générée automatiquement.',
|
||||
items: proposalItems,
|
||||
asEventEquipment: eventEquipmentList,
|
||||
containerIds: containerIds,
|
||||
);
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user