@launchdarkly/mcp-server/dist/esm/models/components/metricrep.js

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 { remap as remap$ } from "../../lib/primitives.js";
import { safeParse } from "../../lib/schemas.js";
import { Access$inboundSchema, Access$outboundSchema, } from "./access.js";
import { DependentExperimentRep$inboundSchema, DependentExperimentRep$outboundSchema, } from "./dependentexperimentrep.js";
import { DependentMetricGroupRep$inboundSchema, DependentMetricGroupRep$outboundSchema, } from "./dependentmetricgrouprep.js";
import { Filter$inboundSchema, Filter$outboundSchema, } from "./filter.js";
import { FlagListingRep$inboundSchema, FlagListingRep$outboundSchema, } from "./flaglistingrep.js";
import { Link$inboundSchema, Link$outboundSchema, } from "./link.js";
import { MemberSummary$inboundSchema, MemberSummary$outboundSchema, } from "./membersummary.js";
import { MetricDataSourceRefRep$inboundSchema, MetricDataSourceRefRep$outboundSchema, } from "./metricdatasourcerefrep.js";
import { MetricDenominatorRep$inboundSchema, MetricDenominatorRep$outboundSchema, } from "./metricdenominatorrep.js";
import { MetricEventDefaultRep$inboundSchema, MetricEventDefaultRep$outboundSchema, } from "./metriceventdefaultrep.js";
import { Modification$inboundSchema, Modification$outboundSchema, } from "./modification.js";
/**
 * The kind of event the metric tracks
 */
export const MetricRepKind = {
    Pageview: "pageview",
    Click: "click",
    Custom: "custom",
    Trace: "trace",
};
/**
 * For custom and trace metrics, the success criteria
 */
export const MetricRepSuccessCriteria = {
    HigherThanBaseline: "HigherThanBaseline",
    LowerThanBaseline: "LowerThanBaseline",
};
/**
 * The method by which multiple unit event values are aggregated
 */
export const MetricRepUnitAggregationType = {
    Average: "average",
    Sum: "sum",
    CountDistinct: "count_distinct",
};
/**
 * The method for analyzing metric events
 */
export const MetricRepAnalysisType = {
    Mean: "mean",
    Percentile: "percentile",
};
/** @internal */
export const MetricRepKind$inboundSchema = z.nativeEnum(MetricRepKind);
/** @internal */
export const MetricRepKind$outboundSchema = MetricRepKind$inboundSchema;
/** @internal */
export const MetricRepSuccessCriteria$inboundSchema = z.nativeEnum(MetricRepSuccessCriteria);
/** @internal */
export const MetricRepSuccessCriteria$outboundSchema = MetricRepSuccessCriteria$inboundSchema;
/** @internal */
export const MetricRepUnitAggregationType$inboundSchema = z.nativeEnum(MetricRepUnitAggregationType);
/** @internal */
export const MetricRepUnitAggregationType$outboundSchema = MetricRepUnitAggregationType$inboundSchema;
/** @internal */
export const MetricRepAnalysisType$inboundSchema = z.nativeEnum(MetricRepAnalysisType);
/** @internal */
export const MetricRepAnalysisType$outboundSchema = MetricRepAnalysisType$inboundSchema;
/** @internal */
export const LastUsedInExperiment$inboundSchema = z.object({
    key: z.string(),
    name: z.string(),
    environmentId: z.string(),
    environmentKey: z.string(),
    creationDate: z.number().int(),
    archivedDate: z.number().int().optional(),
    _links: z.record(Link$inboundSchema),
}).transform((v) => {
    return remap$(v, {
        "_links": "links",
    });
});
/** @internal */
export const LastUsedInExperiment$outboundSchema = z.object({
    key: z.string(),
    name: z.string(),
    environmentId: z.string(),
    environmentKey: z.string(),
    creationDate: z.number().int(),
    archivedDate: z.number().int().optional(),
    links: z.record(Link$outboundSchema),
}).transform((v) => {
    return remap$(v, {
        links: "_links",
    });
});
export function lastUsedInExperimentToJSON(lastUsedInExperiment) {
    return JSON.stringify(LastUsedInExperiment$outboundSchema.parse(lastUsedInExperiment));
}
export function lastUsedInExperimentFromJSON(jsonString) {
    return safeParse(jsonString, (x) => LastUsedInExperiment$inboundSchema.parse(JSON.parse(x)), `Failed to parse 'LastUsedInExperiment' from JSON`);
}
/** @internal */
export const LastUsedInGuardedRollout$inboundSchema = z.object({
    _id: z.string(),
    flagKey: z.string(),
    flagName: z.string(),
    flagPurpose: z.string().optional(),
    environmentKey: z.string(),
    environmentName: z.string(),
    status: z.string(),
    creationDate: z.number().int(),
    _links: z.record(Link$inboundSchema),
}).transform((v) => {
    return remap$(v, {
        "_id": "id",
        "_links": "links",
    });
});
/** @internal */
export const LastUsedInGuardedRollout$outboundSchema = z.object({
    id: z.string(),
    flagKey: z.string(),
    flagName: z.string(),
    flagPurpose: z.string().optional(),
    environmentKey: z.string(),
    environmentName: z.string(),
    status: z.string(),
    creationDate: z.number().int(),
    links: z.record(Link$outboundSchema),
}).transform((v) => {
    return remap$(v, {
        id: "_id",
        links: "_links",
    });
});
export function lastUsedInGuardedRolloutToJSON(lastUsedInGuardedRollout) {
    return JSON.stringify(LastUsedInGuardedRollout$outboundSchema.parse(lastUsedInGuardedRollout));
}
export function lastUsedInGuardedRolloutFromJSON(jsonString) {
    return safeParse(jsonString, (x) => LastUsedInGuardedRollout$inboundSchema.parse(JSON.parse(x)), `Failed to parse 'LastUsedInGuardedRollout' from JSON`);
}
/** @internal */
export const MetricRep$inboundSchema = z.object({
    experimentCount: z.number().int().optional(),
    metricGroupCount: z.number().int().optional(),
    activeExperimentCount: z.number().int().optional(),
    activeGuardedRolloutCount: z.number().int().optional(),
    _id: z.string(),
    _versionId: z.string(),
    _version: z.number().int().optional(),
    key: z.string(),
    name: z.string(),
    kind: MetricRepKind$inboundSchema,
    _attachedFlagCount: z.number().int().optional(),
    _links: z.record(Link$inboundSchema),
    _site: Link$inboundSchema.optional(),
    _access: Access$inboundSchema.optional(),
    tags: z.array(z.string()),
    _creationDate: z.number().int(),
    lastModified: Modification$inboundSchema.optional(),
    maintainerId: z.string().optional(),
    _maintainer: MemberSummary$inboundSchema.optional(),
    description: z.string().optional(),
    category: z.string().optional(),
    isNumeric: z.boolean().optional(),
    successCriteria: MetricRepSuccessCriteria$inboundSchema.optional(),
    unit: z.string().optional(),
    eventKey: z.string().optional(),
    randomizationUnits: z.array(z.string()).optional(),
    analysisUnits: z.array(z.string()).optional(),
    filters: Filter$inboundSchema.optional(),
    unitAggregationType: MetricRepUnitAggregationType$inboundSchema.optional(),
    analysisType: MetricRepAnalysisType$inboundSchema.optional(),
    percentileValue: z.number().int().optional(),
    eventDefault: MetricEventDefaultRep$inboundSchema.optional(),
    dataSource: MetricDataSourceRefRep$inboundSchema,
    lastSeen: z.number().int().optional(),
    archived: z.boolean().optional(),
    archivedAt: z.number().int().optional(),
    selector: z.string().optional(),
    urls: z.array(z.record(z.any())).optional(),
    windowStartOffset: z.number().int().optional(),
    windowEndOffset: z.number().int().optional(),
    winsorLowerPercentile: z.number().optional(),
    winsorUpperPercentile: z.number().optional(),
    winsorIncludeImputed: z.boolean().optional(),
    traceQuery: z.string().optional(),
    traceValueLocation: z.string().optional(),
    unitAggregationField: z.string().optional(),
    denominator: MetricDenominatorRep$inboundSchema.optional(),
    experiments: z.array(DependentExperimentRep$inboundSchema).optional(),
    metricGroups: z.array(DependentMetricGroupRep$inboundSchema).optional(),
    isActive: z.boolean().optional(),
    _attachedFeatures: z.nullable(z.array(FlagListingRep$inboundSchema))
        .optional(),
    lastUsedInExperiment: z.nullable(z.lazy(() => LastUsedInExperiment$inboundSchema)).optional(),
    lastUsedInGuardedRollout: z.nullable(z.lazy(() => LastUsedInGuardedRollout$inboundSchema)).optional(),
}).transform((v) => {
    return remap$(v, {
        "_id": "id",
        "_versionId": "versionId",
        "_version": "version",
        "_attachedFlagCount": "attachedFlagCount",
        "_links": "links",
        "_site": "site",
        "_access": "access",
        "_creationDate": "creationDate",
        "_maintainer": "maintainer",
        "_attachedFeatures": "attachedFeatures",
    });
});
/** @internal */
export const MetricRep$outboundSchema = z.object({
    experimentCount: z.number().int().optional(),
    metricGroupCount: z.number().int().optional(),
    activeExperimentCount: z.number().int().optional(),
    activeGuardedRolloutCount: z.number().int().optional(),
    id: z.string(),
    versionId: z.string(),
    version: z.number().int().optional(),
    key: z.string(),
    name: z.string(),
    kind: MetricRepKind$outboundSchema,
    attachedFlagCount: z.number().int().optional(),
    links: z.record(Link$outboundSchema),
    site: Link$outboundSchema.optional(),
    access: Access$outboundSchema.optional(),
    tags: z.array(z.string()),
    creationDate: z.number().int(),
    lastModified: Modification$outboundSchema.optional(),
    maintainerId: z.string().optional(),
    maintainer: MemberSummary$outboundSchema.optional(),
    description: z.string().optional(),
    category: z.string().optional(),
    isNumeric: z.boolean().optional(),
    successCriteria: MetricRepSuccessCriteria$outboundSchema.optional(),
    unit: z.string().optional(),
    eventKey: z.string().optional(),
    randomizationUnits: z.array(z.string()).optional(),
    analysisUnits: z.array(z.string()).optional(),
    filters: Filter$outboundSchema.optional(),
    unitAggregationType: MetricRepUnitAggregationType$outboundSchema.optional(),
    analysisType: MetricRepAnalysisType$outboundSchema.optional(),
    percentileValue: z.number().int().optional(),
    eventDefault: MetricEventDefaultRep$outboundSchema.optional(),
    dataSource: MetricDataSourceRefRep$outboundSchema,
    lastSeen: z.number().int().optional(),
    archived: z.boolean().optional(),
    archivedAt: z.number().int().optional(),
    selector: z.string().optional(),
    urls: z.array(z.record(z.any())).optional(),
    windowStartOffset: z.number().int().optional(),
    windowEndOffset: z.number().int().optional(),
    winsorLowerPercentile: z.number().optional(),
    winsorUpperPercentile: z.number().optional(),
    winsorIncludeImputed: z.boolean().optional(),
    traceQuery: z.string().optional(),
    traceValueLocation: z.string().optional(),
    unitAggregationField: z.string().optional(),
    denominator: MetricDenominatorRep$outboundSchema.optional(),
    experiments: z.array(DependentExperimentRep$outboundSchema).optional(),
    metricGroups: z.array(DependentMetricGroupRep$outboundSchema).optional(),
    isActive: z.boolean().optional(),
    attachedFeatures: z.nullable(z.array(FlagListingRep$outboundSchema))
        .optional(),
    lastUsedInExperiment: z.nullable(z.lazy(() => LastUsedInExperiment$outboundSchema)).optional(),
    lastUsedInGuardedRollout: z.nullable(z.lazy(() => LastUsedInGuardedRollout$outboundSchema)).optional(),
}).transform((v) => {
    return remap$(v, {
        id: "_id",
        versionId: "_versionId",
        version: "_version",
        attachedFlagCount: "_attachedFlagCount",
        links: "_links",
        site: "_site",
        access: "_access",
        creationDate: "_creationDate",
        maintainer: "_maintainer",
        attachedFeatures: "_attachedFeatures",
    });
});
export function metricRepToJSON(metricRep) {
    return JSON.stringify(MetricRep$outboundSchema.parse(metricRep));
}
export function metricRepFromJSON(jsonString) {
    return safeParse(jsonString, (x) => MetricRep$inboundSchema.parse(JSON.parse(x)), `Failed to parse 'MetricRep' from JSON`);
}
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