@launchdarkly/mcp-server/dist/commonjs/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.

"use strict";
/*
 * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.
 */
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    Object.defineProperty(o, "default", { enumerable: true, value: v });
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    o["default"] = v;
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    var ownKeys = function(o) {
        ownKeys = Object.getOwnPropertyNames || function (o) {
            var ar = [];
            for (var k in o) if (Object.prototype.hasOwnProperty.call(o, k)) ar[ar.length] = k;
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        __setModuleDefault(result, mod);
        return result;
    };
})();
Object.defineProperty(exports, "__esModule", { value: true });
exports.MetricRep$outboundSchema = exports.MetricRep$inboundSchema = exports.LastUsedInGuardedRollout$outboundSchema = exports.LastUsedInGuardedRollout$inboundSchema = exports.LastUsedInExperiment$outboundSchema = exports.LastUsedInExperiment$inboundSchema = exports.MetricRepAnalysisType$outboundSchema = exports.MetricRepAnalysisType$inboundSchema = exports.MetricRepUnitAggregationType$outboundSchema = exports.MetricRepUnitAggregationType$inboundSchema = exports.MetricRepSuccessCriteria$outboundSchema = exports.MetricRepSuccessCriteria$inboundSchema = exports.MetricRepKind$outboundSchema = exports.MetricRepKind$inboundSchema = exports.MetricRepAnalysisType = exports.MetricRepUnitAggregationType = exports.MetricRepSuccessCriteria = exports.MetricRepKind = void 0;
exports.lastUsedInExperimentToJSON = lastUsedInExperimentToJSON;
exports.lastUsedInExperimentFromJSON = lastUsedInExperimentFromJSON;
exports.lastUsedInGuardedRolloutToJSON = lastUsedInGuardedRolloutToJSON;
exports.lastUsedInGuardedRolloutFromJSON = lastUsedInGuardedRolloutFromJSON;
exports.metricRepToJSON = metricRepToJSON;
exports.metricRepFromJSON = metricRepFromJSON;
const z = __importStar(require("zod/v3"));
const primitives_js_1 = require("../../lib/primitives.js");
const schemas_js_1 = require("../../lib/schemas.js");
const access_js_1 = require("./access.js");
const dependentexperimentrep_js_1 = require("./dependentexperimentrep.js");
const dependentmetricgrouprep_js_1 = require("./dependentmetricgrouprep.js");
const filter_js_1 = require("./filter.js");
const flaglistingrep_js_1 = require("./flaglistingrep.js");
const link_js_1 = require("./link.js");
const membersummary_js_1 = require("./membersummary.js");
const metricdatasourcerefrep_js_1 = require("./metricdatasourcerefrep.js");
const metricdenominatorrep_js_1 = require("./metricdenominatorrep.js");
const metriceventdefaultrep_js_1 = require("./metriceventdefaultrep.js");
const modification_js_1 = require("./modification.js");
/**
 * The kind of event the metric tracks
 */
exports.MetricRepKind = {
    Pageview: "pageview",
    Click: "click",
    Custom: "custom",
    Trace: "trace",
};
/**
 * For custom and trace metrics, the success criteria
 */
exports.MetricRepSuccessCriteria = {
    HigherThanBaseline: "HigherThanBaseline",
    LowerThanBaseline: "LowerThanBaseline",
};
/**
 * The method by which multiple unit event values are aggregated
 */
exports.MetricRepUnitAggregationType = {
    Average: "average",
    Sum: "sum",
    CountDistinct: "count_distinct",
};
/**
 * The method for analyzing metric events
 */
exports.MetricRepAnalysisType = {
    Mean: "mean",
    Percentile: "percentile",
};
/** @internal */
exports.MetricRepKind$inboundSchema = z.nativeEnum(exports.MetricRepKind);
/** @internal */
exports.MetricRepKind$outboundSchema = exports.MetricRepKind$inboundSchema;
/** @internal */
exports.MetricRepSuccessCriteria$inboundSchema = z.nativeEnum(exports.MetricRepSuccessCriteria);
/** @internal */
exports.MetricRepSuccessCriteria$outboundSchema = exports.MetricRepSuccessCriteria$inboundSchema;
/** @internal */
exports.MetricRepUnitAggregationType$inboundSchema = z.nativeEnum(exports.MetricRepUnitAggregationType);
/** @internal */
exports.MetricRepUnitAggregationType$outboundSchema = exports.MetricRepUnitAggregationType$inboundSchema;
/** @internal */
exports.MetricRepAnalysisType$inboundSchema = z.nativeEnum(exports.MetricRepAnalysisType);
/** @internal */
exports.MetricRepAnalysisType$outboundSchema = exports.MetricRepAnalysisType$inboundSchema;
/** @internal */
exports.LastUsedInExperiment$inboundSchema = z.object({
    key: z.string(),
    name: z.string(),
    environmentId: z.string(),
    environmentKey: z.string(),
    creationDate: z.number().int(),
    archivedDate: z.number().int().optional(),
    _links: z.record(link_js_1.Link$inboundSchema),
}).transform((v) => {
    return (0, primitives_js_1.remap)(v, {
        "_links": "links",
    });
});
/** @internal */
exports.LastUsedInExperiment$outboundSchema = z.object({
    key: z.string(),
    name: z.string(),
    environmentId: z.string(),
    environmentKey: z.string(),
    creationDate: z.number().int(),
    archivedDate: z.number().int().optional(),
    links: z.record(link_js_1.Link$outboundSchema),
}).transform((v) => {
    return (0, primitives_js_1.remap)(v, {
        links: "_links",
    });
});
function lastUsedInExperimentToJSON(lastUsedInExperiment) {
    return JSON.stringify(exports.LastUsedInExperiment$outboundSchema.parse(lastUsedInExperiment));
}
function lastUsedInExperimentFromJSON(jsonString) {
    return (0, schemas_js_1.safeParse)(jsonString, (x) => exports.LastUsedInExperiment$inboundSchema.parse(JSON.parse(x)), `Failed to parse 'LastUsedInExperiment' from JSON`);
}
/** @internal */
exports.LastUsedInGuardedRollout$inboundSchema = z.object({
    _id: z.string(),
    flagKey: z.string(),
    flagName: z.string(),
    flagPurpose: z.string().optional(),
    environmentKey: z.string(),
    environmentName: z.string(),
    status: z.string(),
    creationDate: z.number().int(),
    _links: z.record(link_js_1.Link$inboundSchema),
}).transform((v) => {
    return (0, primitives_js_1.remap)(v, {
        "_id": "id",
        "_links": "links",
    });
});
/** @internal */
exports.LastUsedInGuardedRollout$outboundSchema = z.object({
    id: z.string(),
    flagKey: z.string(),
    flagName: z.string(),
    flagPurpose: z.string().optional(),
    environmentKey: z.string(),
    environmentName: z.string(),
    status: z.string(),
    creationDate: z.number().int(),
    links: z.record(link_js_1.Link$outboundSchema),
}).transform((v) => {
    return (0, primitives_js_1.remap)(v, {
        id: "_id",
        links: "_links",
    });
});
function lastUsedInGuardedRolloutToJSON(lastUsedInGuardedRollout) {
    return JSON.stringify(exports.LastUsedInGuardedRollout$outboundSchema.parse(lastUsedInGuardedRollout));
}
function lastUsedInGuardedRolloutFromJSON(jsonString) {
    return (0, schemas_js_1.safeParse)(jsonString, (x) => exports.LastUsedInGuardedRollout$inboundSchema.parse(JSON.parse(x)), `Failed to parse 'LastUsedInGuardedRollout' from JSON`);
}
/** @internal */
exports.MetricRep$inboundSchema = z.object({
    experimentCount: z.number().int().optional(),
    metricGroupCount: z.number().int().optional(),
    activeExperimentCount: z.number().int().optional(),
    activeGuardedRolloutCount: z.number().int().optional(),
    _id: z.string(),
    _versionId: z.string(),
    _version: z.number().int().optional(),
    key: z.string(),
    name: z.string(),
    kind: exports.MetricRepKind$inboundSchema,
    _attachedFlagCount: z.number().int().optional(),
    _links: z.record(link_js_1.Link$inboundSchema),
    _site: link_js_1.Link$inboundSchema.optional(),
    _access: access_js_1.Access$inboundSchema.optional(),
    tags: z.array(z.string()),
    _creationDate: z.number().int(),
    lastModified: modification_js_1.Modification$inboundSchema.optional(),
    maintainerId: z.string().optional(),
    _maintainer: membersummary_js_1.MemberSummary$inboundSchema.optional(),
    description: z.string().optional(),
    category: z.string().optional(),
    isNumeric: z.boolean().optional(),
    successCriteria: exports.MetricRepSuccessCriteria$inboundSchema.optional(),
    unit: z.string().optional(),
    eventKey: z.string().optional(),
    randomizationUnits: z.array(z.string()).optional(),
    analysisUnits: z.array(z.string()).optional(),
    filters: filter_js_1.Filter$inboundSchema.optional(),
    unitAggregationType: exports.MetricRepUnitAggregationType$inboundSchema.optional(),
    analysisType: exports.MetricRepAnalysisType$inboundSchema.optional(),
    percentileValue: z.number().int().optional(),
    eventDefault: metriceventdefaultrep_js_1.MetricEventDefaultRep$inboundSchema.optional(),
    dataSource: metricdatasourcerefrep_js_1.MetricDataSourceRefRep$inboundSchema,
    lastSeen: z.number().int().optional(),
    archived: z.boolean().optional(),
    archivedAt: z.number().int().optional(),
    selector: z.string().optional(),
    urls: z.array(z.record(z.any())).optional(),
    windowStartOffset: z.number().int().optional(),
    windowEndOffset: z.number().int().optional(),
    winsorLowerPercentile: z.number().optional(),
    winsorUpperPercentile: z.number().optional(),
    winsorIncludeImputed: z.boolean().optional(),
    traceQuery: z.string().optional(),
    traceValueLocation: z.string().optional(),
    unitAggregationField: z.string().optional(),
    denominator: metricdenominatorrep_js_1.MetricDenominatorRep$inboundSchema.optional(),
    experiments: z.array(dependentexperimentrep_js_1.DependentExperimentRep$inboundSchema).optional(),
    metricGroups: z.array(dependentmetricgrouprep_js_1.DependentMetricGroupRep$inboundSchema).optional(),
    isActive: z.boolean().optional(),
    _attachedFeatures: z.nullable(z.array(flaglistingrep_js_1.FlagListingRep$inboundSchema))
        .optional(),
    lastUsedInExperiment: z.nullable(z.lazy(() => exports.LastUsedInExperiment$inboundSchema)).optional(),
    lastUsedInGuardedRollout: z.nullable(z.lazy(() => exports.LastUsedInGuardedRollout$inboundSchema)).optional(),
}).transform((v) => {
    return (0, primitives_js_1.remap)(v, {
        "_id": "id",
        "_versionId": "versionId",
        "_version": "version",
        "_attachedFlagCount": "attachedFlagCount",
        "_links": "links",
        "_site": "site",
        "_access": "access",
        "_creationDate": "creationDate",
        "_maintainer": "maintainer",
        "_attachedFeatures": "attachedFeatures",
    });
});
/** @internal */
exports.MetricRep$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: exports.MetricRepKind$outboundSchema,
    attachedFlagCount: z.number().int().optional(),
    links: z.record(link_js_1.Link$outboundSchema),
    site: link_js_1.Link$outboundSchema.optional(),
    access: access_js_1.Access$outboundSchema.optional(),
    tags: z.array(z.string()),
    creationDate: z.number().int(),
    lastModified: modification_js_1.Modification$outboundSchema.optional(),
    maintainerId: z.string().optional(),
    maintainer: membersummary_js_1.MemberSummary$outboundSchema.optional(),
    description: z.string().optional(),
    category: z.string().optional(),
    isNumeric: z.boolean().optional(),
    successCriteria: exports.MetricRepSuccessCriteria$outboundSchema.optional(),
    unit: z.string().optional(),
    eventKey: z.string().optional(),
    randomizationUnits: z.array(z.string()).optional(),
    analysisUnits: z.array(z.string()).optional(),
    filters: filter_js_1.Filter$outboundSchema.optional(),
    unitAggregationType: exports.MetricRepUnitAggregationType$outboundSchema.optional(),
    analysisType: exports.MetricRepAnalysisType$outboundSchema.optional(),
    percentileValue: z.number().int().optional(),
    eventDefault: metriceventdefaultrep_js_1.MetricEventDefaultRep$outboundSchema.optional(),
    dataSource: metricdatasourcerefrep_js_1.MetricDataSourceRefRep$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_js_1.MetricDenominatorRep$outboundSchema.optional(),
    experiments: z.array(dependentexperimentrep_js_1.DependentExperimentRep$outboundSchema).optional(),
    metricGroups: z.array(dependentmetricgrouprep_js_1.DependentMetricGroupRep$outboundSchema).optional(),
    isActive: z.boolean().optional(),
    attachedFeatures: z.nullable(z.array(flaglistingrep_js_1.FlagListingRep$outboundSchema))
        .optional(),
    lastUsedInExperiment: z.nullable(z.lazy(() => exports.LastUsedInExperiment$outboundSchema)).optional(),
    lastUsedInGuardedRollout: z.nullable(z.lazy(() => exports.LastUsedInGuardedRollout$outboundSchema)).optional(),
}).transform((v) => {
    return (0, primitives_js_1.remap)(v, {
        id: "_id",
        versionId: "_versionId",
        version: "_version",
        attachedFlagCount: "_attachedFlagCount",
        links: "_links",
        site: "_site",
        access: "_access",
        creationDate: "_creationDate",
        maintainer: "_maintainer",
        attachedFeatures: "_attachedFeatures",
    });
});
function metricRepToJSON(metricRep) {
    return JSON.stringify(exports.MetricRep$outboundSchema.parse(metricRep));
}
function metricRepFromJSON(jsonString) {
    return (0, schemas_js_1.safeParse)(jsonString, (x) => exports.MetricRep$inboundSchema.parse(JSON.parse(x)), `Failed to parse 'MetricRep' from JSON`);
}
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