- 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>
14 lines
3.1 KiB
TypeScript
14 lines
3.1 KiB
TypeScript
import type { Prisma } from '../../generated/prisma';
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import * as z from 'zod';
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import { PatientConversationOrderByWithRelationInputObjectSchema as PatientConversationOrderByWithRelationInputObjectSchema } from './objects/PatientConversationOrderByWithRelationInput.schema';
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import { PatientConversationWhereInputObjectSchema as PatientConversationWhereInputObjectSchema } from './objects/PatientConversationWhereInput.schema';
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import { PatientConversationWhereUniqueInputObjectSchema as PatientConversationWhereUniqueInputObjectSchema } from './objects/PatientConversationWhereUniqueInput.schema';
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import { PatientConversationCountAggregateInputObjectSchema as PatientConversationCountAggregateInputObjectSchema } from './objects/PatientConversationCountAggregateInput.schema';
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import { PatientConversationMinAggregateInputObjectSchema as PatientConversationMinAggregateInputObjectSchema } from './objects/PatientConversationMinAggregateInput.schema';
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import { PatientConversationMaxAggregateInputObjectSchema as PatientConversationMaxAggregateInputObjectSchema } from './objects/PatientConversationMaxAggregateInput.schema';
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import { PatientConversationAvgAggregateInputObjectSchema as PatientConversationAvgAggregateInputObjectSchema } from './objects/PatientConversationAvgAggregateInput.schema';
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import { PatientConversationSumAggregateInputObjectSchema as PatientConversationSumAggregateInputObjectSchema } from './objects/PatientConversationSumAggregateInput.schema';
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export const PatientConversationAggregateSchema: z.ZodType<Prisma.PatientConversationAggregateArgs> = z.object({ orderBy: z.union([PatientConversationOrderByWithRelationInputObjectSchema, PatientConversationOrderByWithRelationInputObjectSchema.array()]).optional(), where: PatientConversationWhereInputObjectSchema.optional(), cursor: PatientConversationWhereUniqueInputObjectSchema.optional(), take: z.number().optional(), skip: z.number().optional(), _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.PatientConversationAggregateArgs>;
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export const PatientConversationAggregateZodSchema = z.object({ orderBy: z.union([PatientConversationOrderByWithRelationInputObjectSchema, PatientConversationOrderByWithRelationInputObjectSchema.array()]).optional(), where: PatientConversationWhereInputObjectSchema.optional(), cursor: PatientConversationWhereUniqueInputObjectSchema.optional(), take: z.number().optional(), skip: z.number().optional(), _count: z.union([ z.literal(true), PatientConversationCountAggregateInputObjectSchema ]).optional(), _min: PatientConversationMinAggregateInputObjectSchema.optional(), _max: PatientConversationMaxAggregateInputObjectSchema.optional(), _avg: PatientConversationAvgAggregateInputObjectSchema.optional(), _sum: PatientConversationSumAggregateInputObjectSchema.optional() }).strict(); |