@launchdarkly/mcp-server/src/models/components/analysisconfiginput.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 to use for multiple comparison correction.
 */
export const AnalysisConfigInputMultipleComparisonCorrectionMethod = {
  Bonferroni: "bonferroni",
  BenjaminiHochberg: "benjamini-hochberg",
} as const;
/**
 * The method to use for multiple comparison correction.
 */
export type AnalysisConfigInputMultipleComparisonCorrectionMethod = ClosedEnum<
  typeof AnalysisConfigInputMultipleComparisonCorrectionMethod
>;

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

export type AnalysisConfigInput = {
  /**
   * The threshold for the Probability to Beat Baseline (PBBL) and Probability to Be Best (PBB) comparisons for the Bayesian results analysis approach.
   */
  bayesianThreshold?: string | undefined;
  /**
   * The significance threshold for the frequentist results analysis approach.
   */
  significanceThreshold?: string | undefined;
  /**
   * The test sided direction for the frequentist results analysis approach.
   */
  testDirection?: string | undefined;
  /**
   * The method to use for multiple comparison correction.
   */
  multipleComparisonCorrectionMethod?:
    | AnalysisConfigInputMultipleComparisonCorrectionMethod
    | undefined;
  /**
   * The scope of the multiple comparison correction.
   */
  multipleComparisonCorrectionScope?:
    | AnalysisConfigInputMultipleComparisonCorrectionScope
    | undefined;
  /**
   * Whether sequential testing is enabled for Frequentist analysis
   */
  sequentialTestingEnabled?: boolean | undefined;
};

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

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

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

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

export function analysisConfigInputToJSON(
  analysisConfigInput: AnalysisConfigInput,
): string {
  return JSON.stringify(
    AnalysisConfigInput$outboundSchema.parse(analysisConfigInput),
  );
}
export function analysisConfigInputFromJSON(
  jsonString: string,
): SafeParseResult<AnalysisConfigInput, SDKValidationError> {
  return safeParse(
    jsonString,
    (x) => AnalysisConfigInput$inboundSchema.parse(JSON.parse(x)),
    `Failed to parse 'AnalysisConfigInput' from JSON`,
  );
}