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

import * as z from "zod/v3";
import { remap as remap$ } from "../../lib/primitives.js";
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";
import {
  AiConfigsAccess,
  AiConfigsAccess$inboundSchema,
  AiConfigsAccess$Outbound,
  AiConfigsAccess$outboundSchema,
} from "./aiconfigsaccess.js";
import {
  AiConfigsFilter,
  AiConfigsFilter$inboundSchema,
  AiConfigsFilter$Outbound,
  AiConfigsFilter$outboundSchema,
} from "./aiconfigsfilter.js";
import {
  AiConfigsLink,
  AiConfigsLink$inboundSchema,
  AiConfigsLink$Outbound,
  AiConfigsLink$outboundSchema,
} from "./aiconfigslink.js";
import {
  AiConfigsMemberSummary,
  AiConfigsMemberSummary$inboundSchema,
  AiConfigsMemberSummary$Outbound,
  AiConfigsMemberSummary$outboundSchema,
} from "./aiconfigsmembersummary.js";
import {
  AiConfigsMetricDataSourceRefRep,
  AiConfigsMetricDataSourceRefRep$inboundSchema,
  AiConfigsMetricDataSourceRefRep$Outbound,
  AiConfigsMetricDataSourceRefRep$outboundSchema,
} from "./aiconfigsmetricdatasourcerefrep.js";
import {
  AiConfigsMetricDenominatorRep,
  AiConfigsMetricDenominatorRep$inboundSchema,
  AiConfigsMetricDenominatorRep$Outbound,
  AiConfigsMetricDenominatorRep$outboundSchema,
} from "./aiconfigsmetricdenominatorrep.js";
import {
  AiConfigsMetricEventDefaultRep,
  AiConfigsMetricEventDefaultRep$inboundSchema,
  AiConfigsMetricEventDefaultRep$Outbound,
  AiConfigsMetricEventDefaultRep$outboundSchema,
} from "./aiconfigsmetriceventdefaultrep.js";
import {
  AiConfigsModification,
  AiConfigsModification$inboundSchema,
  AiConfigsModification$Outbound,
  AiConfigsModification$outboundSchema,
} from "./aiconfigsmodification.js";

/**
 * The kind of event the metric tracks
 */
export const AiConfigsMetricListingRepKind = {
  Pageview: "pageview",
  Click: "click",
  Custom: "custom",
  Trace: "trace",
} as const;
/**
 * The kind of event the metric tracks
 */
export type AiConfigsMetricListingRepKind = ClosedEnum<
  typeof AiConfigsMetricListingRepKind
>;

/**
 * For custom and trace metrics, the success criteria
 */
export const AiConfigsMetricListingRepSuccessCriteria = {
  HigherThanBaseline: "HigherThanBaseline",
  LowerThanBaseline: "LowerThanBaseline",
} as const;
/**
 * For custom and trace metrics, the success criteria
 */
export type AiConfigsMetricListingRepSuccessCriteria = ClosedEnum<
  typeof AiConfigsMetricListingRepSuccessCriteria
>;

/**
 * The method by which multiple unit event values are aggregated
 */
export const AiConfigsMetricListingRepUnitAggregationType = {
  Average: "average",
  Sum: "sum",
  CountDistinct: "count_distinct",
} as const;
/**
 * The method by which multiple unit event values are aggregated
 */
export type AiConfigsMetricListingRepUnitAggregationType = ClosedEnum<
  typeof AiConfigsMetricListingRepUnitAggregationType
>;

/**
 * The method for analyzing metric events
 */
export const AiConfigsMetricListingRepAnalysisType = {
  Mean: "mean",
  Percentile: "percentile",
} as const;
/**
 * The method for analyzing metric events
 */
export type AiConfigsMetricListingRepAnalysisType = ClosedEnum<
  typeof AiConfigsMetricListingRepAnalysisType
>;

export type AiConfigsMetricListingRep = {
  /**
   * The number of experiments using this metric
   */
  experimentCount?: number | undefined;
  /**
   * The number of metric groups using this metric
   */
  metricGroupCount?: number | undefined;
  /**
   * The number of guarded rollouts using this metric
   */
  guardedRolloutCount?: number | undefined;
  /**
   * The number of release policies using this metric
   */
  releasePolicyCount?: number | undefined;
  /**
   * The number of active experiments using this metric
   */
  activeExperimentCount?: number | undefined;
  /**
   * The number of active guarded rollouts using this metric
   */
  activeGuardedRolloutCount?: number | undefined;
  /**
   * The ID of this metric
   */
  id: string;
  /**
   * The version ID of the metric
   */
  versionId: string;
  /**
   * Version of the metric
   */
  version?: number | undefined;
  /**
   * A unique key to reference the metric
   */
  key: string;
  /**
   * A human-friendly name for the metric
   */
  name: string;
  /**
   * The kind of event the metric tracks
   */
  kind: AiConfigsMetricListingRepKind;
  /**
   * The number of feature flags currently attached to this metric
   */
  attachedFlagCount?: number | undefined;
  /**
   * The location and content type of related resources
   */
  links: { [k: string]: AiConfigsLink };
  site?: AiConfigsLink | undefined;
  access?: AiConfigsAccess | undefined;
  /**
   * Tags for the metric
   */
  tags: Array<string>;
  creationDate: number;
  lastModified?: AiConfigsModification | undefined;
  /**
   * The ID of the member who maintains this metric
   */
  maintainerId?: string | undefined;
  maintainer?: AiConfigsMemberSummary | undefined;
  /**
   * Description of the metric
   */
  description?: string | undefined;
  /**
   * The category of the metric
   */
  category?: string | undefined;
  /**
   * For custom and trace metrics, whether to track numeric changes in value against a baseline (<code>true</code>) or to track a conversion when an end user takes an action (<code>false</code>).
   */
  isNumeric?: boolean | undefined;
  /**
   * For custom and trace metrics, the success criteria
   */
  successCriteria?: AiConfigsMetricListingRepSuccessCriteria | undefined;
  /**
   * For numeric custom and trace metrics, the unit of measure
   */
  unit?: string | undefined;
  /**
   * For custom metrics, the event key to use in your code
   */
  eventKey?: string | undefined;
  /**
   * Deprecated, use <code>analysisUnits</code> instead.
   *
   * @deprecated field: This will be removed in a future release, please migrate away from it as soon as possible.
   */
  randomizationUnits?: Array<string> | undefined;
  /**
   * An array of analysis units allowed for this metric.
   */
  analysisUnits?: Array<string> | undefined;
  filters?: AiConfigsFilter | undefined;
  /**
   * The method by which multiple unit event values are aggregated
   */
  unitAggregationType?:
    | AiConfigsMetricListingRepUnitAggregationType
    | undefined;
  /**
   * The method for analyzing metric events
   */
  analysisType?: AiConfigsMetricListingRepAnalysisType | undefined;
  /**
   * The percentile for the analysis method. An integer denoting the target percentile between 0 and 100. Required when <code>analysisType</code> is <code>percentile</code>.
   */
  percentileValue?: number | undefined;
  eventDefault?: AiConfigsMetricEventDefaultRep | undefined;
  dataSource: AiConfigsMetricDataSourceRefRep;
  lastSeen?: number | undefined;
  /**
   * Whether the metric version is archived
   */
  archived?: boolean | undefined;
  archivedAt?: number | undefined;
  /**
   * For click metrics, the CSS selectors
   */
  selector?: string | undefined;
  urls?: Array<{ [k: string]: any }> | undefined;
  /**
   * Not yet implemented - The start of the measurement window, in milliseconds relative to the unit's first exposure to a flag variation
   */
  windowStartOffset?: number | undefined;
  /**
   * Not yet implemented - The end of the measurement window, in milliseconds relative to the unit's first exposure to a flag variation
   */
  windowEndOffset?: number | undefined;
  /**
   * Lower winsorization percentile, expressed as a percent in the open interval (0, 100). When both bounds are set, defines a two-sided clamp range. Otherwise lower-only winsorization.
   */
  winsorLowerPercentile?: number | undefined;
  /**
   * Upper winsorization percentile, expressed as a percent in the open interval (0, 100). When both bounds are set, must be greater than winsorLowerPercentile.
   */
  winsorUpperPercentile?: number | undefined;
  /**
   * When true, the percentile bound calculation includes imputed zeros. Only meaningful when at least one bound is set and the metric includes units that didn't send events.
   */
  winsorIncludeImputed?: boolean | undefined;
  /**
   * For trace metrics, the trace query to use for the metric.
   */
  traceQuery?: string | undefined;
  /**
   * For trace metrics, the location in the trace to use for numeric values.
   */
  traceValueLocation?: string | undefined;
  /**
   * For count_distinct metrics, the column to count distinct values of
   */
  unitAggregationField?: string | undefined;
  denominator?: AiConfigsMetricDenominatorRep | undefined;
};

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

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

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

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

/** @internal */
export const AiConfigsMetricListingRep$inboundSchema: z.ZodType<
  AiConfigsMetricListingRep,
  z.ZodTypeDef,
  unknown
> = z.object({
  experimentCount: z.number().int().optional(),
  metricGroupCount: z.number().int().optional(),
  guardedRolloutCount: z.number().int().optional(),
  releasePolicyCount: z.number().int().optional(),
  activeExperimentCount: z.number().int().optional(),
  activeGuardedRolloutCount: z.number().int().optional(),
  _id: z.string(),
  _versionId: z.string(),
  _version: z.number().int().optional(),
  key: z.string(),
  name: z.string(),
  kind: AiConfigsMetricListingRepKind$inboundSchema,
  _attachedFlagCount: z.number().int().optional(),
  _links: z.record(AiConfigsLink$inboundSchema),
  _site: AiConfigsLink$inboundSchema.optional(),
  _access: AiConfigsAccess$inboundSchema.optional(),
  tags: z.array(z.string()),
  _creationDate: z.number().int(),
  lastModified: AiConfigsModification$inboundSchema.optional(),
  maintainerId: z.string().optional(),
  _maintainer: AiConfigsMemberSummary$inboundSchema.optional(),
  description: z.string().optional(),
  category: z.string().optional(),
  isNumeric: z.boolean().optional(),
  successCriteria: AiConfigsMetricListingRepSuccessCriteria$inboundSchema
    .optional(),
  unit: z.string().optional(),
  eventKey: z.string().optional(),
  randomizationUnits: z.array(z.string()).optional(),
  analysisUnits: z.array(z.string()).optional(),
  filters: AiConfigsFilter$inboundSchema.optional(),
  unitAggregationType:
    AiConfigsMetricListingRepUnitAggregationType$inboundSchema.optional(),
  analysisType: AiConfigsMetricListingRepAnalysisType$inboundSchema.optional(),
  percentileValue: z.number().int().optional(),
  eventDefault: AiConfigsMetricEventDefaultRep$inboundSchema.optional(),
  dataSource: AiConfigsMetricDataSourceRefRep$inboundSchema,
  lastSeen: z.number().int().optional(),
  archived: z.boolean().optional(),
  archivedAt: z.number().int().optional(),
  selector: z.string().optional(),
  urls: z.array(z.record(z.any())).optional(),
  windowStartOffset: z.number().int().optional(),
  windowEndOffset: z.number().int().optional(),
  winsorLowerPercentile: z.number().optional(),
  winsorUpperPercentile: z.number().optional(),
  winsorIncludeImputed: z.boolean().optional(),
  traceQuery: z.string().optional(),
  traceValueLocation: z.string().optional(),
  unitAggregationField: z.string().optional(),
  denominator: AiConfigsMetricDenominatorRep$inboundSchema.optional(),
}).transform((v) => {
  return remap$(v, {
    "_id": "id",
    "_versionId": "versionId",
    "_version": "version",
    "_attachedFlagCount": "attachedFlagCount",
    "_links": "links",
    "_site": "site",
    "_access": "access",
    "_creationDate": "creationDate",
    "_maintainer": "maintainer",
  });
});
/** @internal */
export type AiConfigsMetricListingRep$Outbound = {
  experimentCount?: number | undefined;
  metricGroupCount?: number | undefined;
  guardedRolloutCount?: number | undefined;
  releasePolicyCount?: number | undefined;
  activeExperimentCount?: number | undefined;
  activeGuardedRolloutCount?: number | undefined;
  _id: string;
  _versionId: string;
  _version?: number | undefined;
  key: string;
  name: string;
  kind: string;
  _attachedFlagCount?: number | undefined;
  _links: { [k: string]: AiConfigsLink$Outbound };
  _site?: AiConfigsLink$Outbound | undefined;
  _access?: AiConfigsAccess$Outbound | undefined;
  tags: Array<string>;
  _creationDate: number;
  lastModified?: AiConfigsModification$Outbound | undefined;
  maintainerId?: string | undefined;
  _maintainer?: AiConfigsMemberSummary$Outbound | undefined;
  description?: string | undefined;
  category?: string | undefined;
  isNumeric?: boolean | undefined;
  successCriteria?: string | undefined;
  unit?: string | undefined;
  eventKey?: string | undefined;
  randomizationUnits?: Array<string> | undefined;
  analysisUnits?: Array<string> | undefined;
  filters?: AiConfigsFilter$Outbound | undefined;
  unitAggregationType?: string | undefined;
  analysisType?: string | undefined;
  percentileValue?: number | undefined;
  eventDefault?: AiConfigsMetricEventDefaultRep$Outbound | undefined;
  dataSource: AiConfigsMetricDataSourceRefRep$Outbound;
  lastSeen?: number | undefined;
  archived?: boolean | undefined;
  archivedAt?: number | undefined;
  selector?: string | undefined;
  urls?: Array<{ [k: string]: any }> | undefined;
  windowStartOffset?: number | undefined;
  windowEndOffset?: number | undefined;
  winsorLowerPercentile?: number | undefined;
  winsorUpperPercentile?: number | undefined;
  winsorIncludeImputed?: boolean | undefined;
  traceQuery?: string | undefined;
  traceValueLocation?: string | undefined;
  unitAggregationField?: string | undefined;
  denominator?: AiConfigsMetricDenominatorRep$Outbound | undefined;
};

/** @internal */
export const AiConfigsMetricListingRep$outboundSchema: z.ZodType<
  AiConfigsMetricListingRep$Outbound,
  z.ZodTypeDef,
  AiConfigsMetricListingRep
> = z.object({
  experimentCount: z.number().int().optional(),
  metricGroupCount: z.number().int().optional(),
  guardedRolloutCount: z.number().int().optional(),
  releasePolicyCount: z.number().int().optional(),
  activeExperimentCount: z.number().int().optional(),
  activeGuardedRolloutCount: z.number().int().optional(),
  id: z.string(),
  versionId: z.string(),
  version: z.number().int().optional(),
  key: z.string(),
  name: z.string(),
  kind: AiConfigsMetricListingRepKind$outboundSchema,
  attachedFlagCount: z.number().int().optional(),
  links: z.record(AiConfigsLink$outboundSchema),
  site: AiConfigsLink$outboundSchema.optional(),
  access: AiConfigsAccess$outboundSchema.optional(),
  tags: z.array(z.string()),
  creationDate: z.number().int(),
  lastModified: AiConfigsModification$outboundSchema.optional(),
  maintainerId: z.string().optional(),
  maintainer: AiConfigsMemberSummary$outboundSchema.optional(),
  description: z.string().optional(),
  category: z.string().optional(),
  isNumeric: z.boolean().optional(),
  successCriteria: AiConfigsMetricListingRepSuccessCriteria$outboundSchema
    .optional(),
  unit: z.string().optional(),
  eventKey: z.string().optional(),
  randomizationUnits: z.array(z.string()).optional(),
  analysisUnits: z.array(z.string()).optional(),
  filters: AiConfigsFilter$outboundSchema.optional(),
  unitAggregationType:
    AiConfigsMetricListingRepUnitAggregationType$outboundSchema.optional(),
  analysisType: AiConfigsMetricListingRepAnalysisType$outboundSchema.optional(),
  percentileValue: z.number().int().optional(),
  eventDefault: AiConfigsMetricEventDefaultRep$outboundSchema.optional(),
  dataSource: AiConfigsMetricDataSourceRefRep$outboundSchema,
  lastSeen: z.number().int().optional(),
  archived: z.boolean().optional(),
  archivedAt: z.number().int().optional(),
  selector: z.string().optional(),
  urls: z.array(z.record(z.any())).optional(),
  windowStartOffset: z.number().int().optional(),
  windowEndOffset: z.number().int().optional(),
  winsorLowerPercentile: z.number().optional(),
  winsorUpperPercentile: z.number().optional(),
  winsorIncludeImputed: z.boolean().optional(),
  traceQuery: z.string().optional(),
  traceValueLocation: z.string().optional(),
  unitAggregationField: z.string().optional(),
  denominator: AiConfigsMetricDenominatorRep$outboundSchema.optional(),
}).transform((v) => {
  return remap$(v, {
    id: "_id",
    versionId: "_versionId",
    version: "_version",
    attachedFlagCount: "_attachedFlagCount",
    links: "_links",
    site: "_site",
    access: "_access",
    creationDate: "_creationDate",
    maintainer: "_maintainer",
  });
});

export function aiConfigsMetricListingRepToJSON(
  aiConfigsMetricListingRep: AiConfigsMetricListingRep,
): string {
  return JSON.stringify(
    AiConfigsMetricListingRep$outboundSchema.parse(aiConfigsMetricListingRep),
  );
}
export function aiConfigsMetricListingRepFromJSON(
  jsonString: string,
): SafeParseResult<AiConfigsMetricListingRep, SDKValidationError> {
  return safeParse(
    jsonString,
    (x) => AiConfigsMetricListingRep$inboundSchema.parse(JSON.parse(x)),
    `Failed to parse 'AiConfigsMetricListingRep' from JSON`,
  );
}