@launchdarkly/mcp-server/src/models/components/analysisconfigrep.ts

The local [Model Context Protocol (MCP)](https://modelcontextprotocol.io/) server for [LaunchDarkly](https://launchdarkly.com/) federal and European Union (EU) environments.

/*
 * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.
 */

import * as z from "zod/v3";
import { safeParse } from "../../lib/schemas.js";
import { ClosedEnum } from "../../types/enums.js";
import { Result as SafeParseResult } from "../../types/fp.js";
import { SDKValidationError } from "../errors/sdkvalidationerror.js";

/**
 * The method for multiple comparison correction.
 */
export const AnalysisConfigRepMultipleComparisonCorrectionMethod = {
  Bonferroni: "bonferroni",
  BenjaminiHochberg: "benjamini-hochberg",
} as const;
/**
 * The method for multiple comparison correction.
 */
export type AnalysisConfigRepMultipleComparisonCorrectionMethod = ClosedEnum<
  typeof AnalysisConfigRepMultipleComparisonCorrectionMethod
>;

/**
 * The scope for multiple comparison correction.
 */
export const AnalysisConfigRepMultipleComparisonCorrectionScope = {
  Variations: "variations",
  VariationsAndMetrics: "variations-and-metrics",
  Metrics: "metrics",
} as const;
/**
 * The scope for multiple comparison correction.
 */
export type AnalysisConfigRepMultipleComparisonCorrectionScope = ClosedEnum<
  typeof AnalysisConfigRepMultipleComparisonCorrectionScope
>;

export type AnalysisConfigRep = {
  /**
   * The threshold for the Probability to Beat Baseline (PBBL) and Probability to Be Best (PBB) comparisons for the Bayesian results analysis approach.  Value should be between 0-100 inclusive.
   */
  bayesianThreshold?: string | null | undefined;
  /**
   * The significance threshold for the frequentist results analysis approach. Value should be between 0.0-1.0 inclusive.
   */
  significanceThreshold?: string | undefined;
  /**
   * The test sided direction for the frequentist results analysis approach.
   */
  testDirection?: string | undefined;
  /**
   * The method for multiple comparison correction.
   */
  multipleComparisonCorrectionMethod?:
    | AnalysisConfigRepMultipleComparisonCorrectionMethod
    | undefined;
  /**
   * The scope for multiple comparison correction.
   */
  multipleComparisonCorrectionScope?:
    | AnalysisConfigRepMultipleComparisonCorrectionScope
    | undefined;
  /**
   * Whether sequential testing is enabled for Frequentist analysis
   */
  sequentialTestingEnabled?: boolean | undefined;
};

/** @internal */
export const AnalysisConfigRepMultipleComparisonCorrectionMethod$inboundSchema:
  z.ZodNativeEnum<typeof AnalysisConfigRepMultipleComparisonCorrectionMethod> =
    z.nativeEnum(AnalysisConfigRepMultipleComparisonCorrectionMethod);
/** @internal */
export const AnalysisConfigRepMultipleComparisonCorrectionMethod$outboundSchema:
  z.ZodNativeEnum<typeof AnalysisConfigRepMultipleComparisonCorrectionMethod> =
    AnalysisConfigRepMultipleComparisonCorrectionMethod$inboundSchema;

/** @internal */
export const AnalysisConfigRepMultipleComparisonCorrectionScope$inboundSchema:
  z.ZodNativeEnum<typeof AnalysisConfigRepMultipleComparisonCorrectionScope> = z
    .nativeEnum(AnalysisConfigRepMultipleComparisonCorrectionScope);
/** @internal */
export const AnalysisConfigRepMultipleComparisonCorrectionScope$outboundSchema:
  z.ZodNativeEnum<typeof AnalysisConfigRepMultipleComparisonCorrectionScope> =
    AnalysisConfigRepMultipleComparisonCorrectionScope$inboundSchema;

/** @internal */
export const AnalysisConfigRep$inboundSchema: z.ZodType<
  AnalysisConfigRep,
  z.ZodTypeDef,
  unknown
> = z.object({
  bayesianThreshold: z.nullable(z.string()).optional(),
  significanceThreshold: z.string().optional(),
  testDirection: z.string().optional(),
  multipleComparisonCorrectionMethod:
    AnalysisConfigRepMultipleComparisonCorrectionMethod$inboundSchema
      .optional(),
  multipleComparisonCorrectionScope:
    AnalysisConfigRepMultipleComparisonCorrectionScope$inboundSchema.optional(),
  sequentialTestingEnabled: z.boolean().optional(),
});
/** @internal */
export type AnalysisConfigRep$Outbound = {
  bayesianThreshold?: string | null | undefined;
  significanceThreshold?: string | undefined;
  testDirection?: string | undefined;
  multipleComparisonCorrectionMethod?: string | undefined;
  multipleComparisonCorrectionScope?: string | undefined;
  sequentialTestingEnabled?: boolean | undefined;
};

/** @internal */
export const AnalysisConfigRep$outboundSchema: z.ZodType<
  AnalysisConfigRep$Outbound,
  z.ZodTypeDef,
  AnalysisConfigRep
> = z.object({
  bayesianThreshold: z.nullable(z.string()).optional(),
  significanceThreshold: z.string().optional(),
  testDirection: z.string().optional(),
  multipleComparisonCorrectionMethod:
    AnalysisConfigRepMultipleComparisonCorrectionMethod$outboundSchema
      .optional(),
  multipleComparisonCorrectionScope:
    AnalysisConfigRepMultipleComparisonCorrectionScope$outboundSchema
      .optional(),
  sequentialTestingEnabled: z.boolean().optional(),
});

export function analysisConfigRepToJSON(
  analysisConfigRep: AnalysisConfigRep,
): string {
  return JSON.stringify(
    AnalysisConfigRep$outboundSchema.parse(analysisConfigRep),
  );
}
export function analysisConfigRepFromJSON(
  jsonString: string,
): SafeParseResult<AnalysisConfigRep, SDKValidationError> {
  return safeParse(
    jsonString,
    (x) => AnalysisConfigRep$inboundSchema.parse(JSON.parse(x)),
    `Failed to parse 'AnalysisConfigRep' from JSON`,
  );
}