Files
DentalManagementMH06/packages/db/shared/schemas/groupByPatientConversation.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

15 lines
3.4 KiB
TypeScript

import type { Prisma } from '../../generated/prisma';
import * as z from 'zod';
import { PatientConversationWhereInputObjectSchema as PatientConversationWhereInputObjectSchema } from './objects/PatientConversationWhereInput.schema';
import { PatientConversationOrderByWithAggregationInputObjectSchema as PatientConversationOrderByWithAggregationInputObjectSchema } from './objects/PatientConversationOrderByWithAggregationInput.schema';
import { PatientConversationScalarWhereWithAggregatesInputObjectSchema as PatientConversationScalarWhereWithAggregatesInputObjectSchema } from './objects/PatientConversationScalarWhereWithAggregatesInput.schema';
import { PatientConversationScalarFieldEnumSchema } from './enums/PatientConversationScalarFieldEnum.schema';
import { PatientConversationCountAggregateInputObjectSchema as PatientConversationCountAggregateInputObjectSchema } from './objects/PatientConversationCountAggregateInput.schema';
import { PatientConversationMinAggregateInputObjectSchema as PatientConversationMinAggregateInputObjectSchema } from './objects/PatientConversationMinAggregateInput.schema';
import { PatientConversationMaxAggregateInputObjectSchema as PatientConversationMaxAggregateInputObjectSchema } from './objects/PatientConversationMaxAggregateInput.schema';
import { PatientConversationAvgAggregateInputObjectSchema as PatientConversationAvgAggregateInputObjectSchema } from './objects/PatientConversationAvgAggregateInput.schema';
import { PatientConversationSumAggregateInputObjectSchema as PatientConversationSumAggregateInputObjectSchema } from './objects/PatientConversationSumAggregateInput.schema';
export const PatientConversationGroupBySchema: z.ZodType<Prisma.PatientConversationGroupByArgs> = z.object({ where: PatientConversationWhereInputObjectSchema.optional(), orderBy: z.union([PatientConversationOrderByWithAggregationInputObjectSchema, PatientConversationOrderByWithAggregationInputObjectSchema.array()]).optional(), having: PatientConversationScalarWhereWithAggregatesInputObjectSchema.optional(), take: z.number().optional(), skip: z.number().optional(), by: z.array(PatientConversationScalarFieldEnumSchema), _count: z.union([ z.literal(true), PatientConversationCountAggregateInputObjectSchema ]).optional(), _min: PatientConversationMinAggregateInputObjectSchema.optional(), _max: PatientConversationMaxAggregateInputObjectSchema.optional(), _avg: PatientConversationAvgAggregateInputObjectSchema.optional(), _sum: PatientConversationSumAggregateInputObjectSchema.optional() }).strict() as unknown as z.ZodType<Prisma.PatientConversationGroupByArgs>;
export const PatientConversationGroupByZodSchema = z.object({ where: PatientConversationWhereInputObjectSchema.optional(), orderBy: z.union([PatientConversationOrderByWithAggregationInputObjectSchema, PatientConversationOrderByWithAggregationInputObjectSchema.array()]).optional(), having: PatientConversationScalarWhereWithAggregatesInputObjectSchema.optional(), take: z.number().optional(), skip: z.number().optional(), by: z.array(PatientConversationScalarFieldEnumSchema), _count: z.union([ z.literal(true), PatientConversationCountAggregateInputObjectSchema ]).optional(), _min: PatientConversationMinAggregateInputObjectSchema.optional(), _max: PatientConversationMaxAggregateInputObjectSchema.optional(), _avg: PatientConversationAvgAggregateInputObjectSchema.optional(), _sum: PatientConversationSumAggregateInputObjectSchema.optional() }).strict();