Michael Freno
fc9a5c4fb2
- Create tRPC router with checkNumber, classifySMS, classifyCall endpoints - Add protected procedures for rule CRUD, feedback submission, and stats - Implement service layer with phone number normalization and audit logging - Add ML engine with BERT stub, feature extraction, and rule engine - Implement reputation API module with circuit breaker and caching - Write comprehensive tests (34 tests) for all layers - Wire spamshield router into app root router
37 lines
1.1 KiB
TypeScript
37 lines
1.1 KiB
TypeScript
import { object, string, minLength, optional, number, boolean as vBoolean, picklist } from "valibot";
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export const CheckNumberSchema = object({
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phoneNumber: string([minLength(1)]),
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});
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export const ClassifySMSSchema = object({
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text: string([minLength(1)]),
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});
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export const ClassifyCallSchema = object({
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callerNumber: string([minLength(1)]),
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duration: optional(number()),
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timeOfDay: optional(number()),
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});
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export const CreateRuleSchema = object({
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ruleType: picklist(["phoneNumber", "areaCode", "prefix", "pattern", "reputation"]),
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pattern: string([minLength(1)]),
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action: picklist(["block", "flag", "allow", "challenge"]),
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priority: optional(number(), 0),
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});
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export const DeleteRuleSchema = object({
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ruleId: string([minLength(1)]),
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});
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export const FeedbackSchema = object({
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phoneNumber: string([minLength(1)]),
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isSpam: vBoolean(),
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feedbackType: picklist(["initial_detection", "user_confirmation", "user_rejection", "auto_learned"]),
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});
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export const StatsFilterSchema = object({
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period: optional(picklist(["day", "week", "month", "year"]), "month"),
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});
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