Files
DentalManagementMH06/packages/db/shared/schemas/findFirstOrThrowPatientConversation.schema.ts
Gitead 112529155c feat: persist AI conversation state in DB and fix LangGraph flow bugs
- Replace in-memory Maps in aiHandoffStore with DB-backed async functions
  using new patient_conversation table (stage + aiHandoff per patient)
- Add afterHoursEnabled to ai_settings table (persists across restarts)
- Fix runtime crash in reschedule-graph: mon/tue/wed variables were out
  of scope in the next-week fallback branch (ReferenceError)
- Wire rescheduleGreeting and generalFallback chat templates through to
  LangGraph nodes so user-configured messages take effect
- Add otherNode to reminder-graph to handle unclassified patient replies
  (e.g. "I want another appointment") and route to booking flow
- Fetch chatTemplates once per webhook request instead of per stage

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-09 15:23:55 -04:00

36 lines
3.3 KiB
TypeScript

import type { Prisma } from '../../generated/prisma';
import * as z from 'zod';
import { PatientConversationIncludeObjectSchema as PatientConversationIncludeObjectSchema } from './objects/PatientConversationInclude.schema';
import { PatientConversationOrderByWithRelationInputObjectSchema as PatientConversationOrderByWithRelationInputObjectSchema } from './objects/PatientConversationOrderByWithRelationInput.schema';
import { PatientConversationWhereInputObjectSchema as PatientConversationWhereInputObjectSchema } from './objects/PatientConversationWhereInput.schema';
import { PatientConversationWhereUniqueInputObjectSchema as PatientConversationWhereUniqueInputObjectSchema } from './objects/PatientConversationWhereUniqueInput.schema';
import { PatientConversationScalarFieldEnumSchema } from './enums/PatientConversationScalarFieldEnum.schema';
// Select schema needs to be in file to prevent circular imports
//------------------------------------------------------
export const PatientConversationFindFirstOrThrowSelectSchema: z.ZodType<Prisma.PatientConversationSelect> = z.object({
id: z.boolean().optional(),
patientId: z.boolean().optional(),
userId: z.boolean().optional(),
stage: z.boolean().optional(),
aiHandoff: z.boolean().optional(),
updatedAt: z.boolean().optional(),
patient: z.boolean().optional(),
user: z.boolean().optional()
}).strict() as unknown as z.ZodType<Prisma.PatientConversationSelect>;
export const PatientConversationFindFirstOrThrowSelectZodSchema = z.object({
id: z.boolean().optional(),
patientId: z.boolean().optional(),
userId: z.boolean().optional(),
stage: z.boolean().optional(),
aiHandoff: z.boolean().optional(),
updatedAt: z.boolean().optional(),
patient: z.boolean().optional(),
user: z.boolean().optional()
}).strict();
export const PatientConversationFindFirstOrThrowSchema: z.ZodType<Prisma.PatientConversationFindFirstOrThrowArgs> = z.object({ select: PatientConversationFindFirstOrThrowSelectSchema.optional(), include: z.lazy(() => PatientConversationIncludeObjectSchema.optional()), orderBy: z.union([PatientConversationOrderByWithRelationInputObjectSchema, PatientConversationOrderByWithRelationInputObjectSchema.array()]).optional(), where: PatientConversationWhereInputObjectSchema.optional(), cursor: PatientConversationWhereUniqueInputObjectSchema.optional(), take: z.number().optional(), skip: z.number().optional(), distinct: z.union([PatientConversationScalarFieldEnumSchema, PatientConversationScalarFieldEnumSchema.array()]).optional() }).strict() as unknown as z.ZodType<Prisma.PatientConversationFindFirstOrThrowArgs>;
export const PatientConversationFindFirstOrThrowZodSchema = z.object({ select: PatientConversationFindFirstOrThrowSelectSchema.optional(), include: z.lazy(() => PatientConversationIncludeObjectSchema.optional()), orderBy: z.union([PatientConversationOrderByWithRelationInputObjectSchema, PatientConversationOrderByWithRelationInputObjectSchema.array()]).optional(), where: PatientConversationWhereInputObjectSchema.optional(), cursor: PatientConversationWhereUniqueInputObjectSchema.optional(), take: z.number().optional(), skip: z.number().optional(), distinct: z.union([PatientConversationScalarFieldEnumSchema, PatientConversationScalarFieldEnumSchema.array()]).optional() }).strict();