@launchdarkly/mcp-server/dist/commonjs/models/components/aiconfigsmetriclistingrep.js

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

"use strict";
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 * Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT.
 */
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Object.defineProperty(exports, "__esModule", { value: true });
exports.AiConfigsMetricListingRep$outboundSchema = exports.AiConfigsMetricListingRep$inboundSchema = exports.AiConfigsMetricListingRepAnalysisType$outboundSchema = exports.AiConfigsMetricListingRepAnalysisType$inboundSchema = exports.AiConfigsMetricListingRepUnitAggregationType$outboundSchema = exports.AiConfigsMetricListingRepUnitAggregationType$inboundSchema = exports.AiConfigsMetricListingRepSuccessCriteria$outboundSchema = exports.AiConfigsMetricListingRepSuccessCriteria$inboundSchema = exports.AiConfigsMetricListingRepKind$outboundSchema = exports.AiConfigsMetricListingRepKind$inboundSchema = exports.AiConfigsMetricListingRepAnalysisType = exports.AiConfigsMetricListingRepUnitAggregationType = exports.AiConfigsMetricListingRepSuccessCriteria = exports.AiConfigsMetricListingRepKind = void 0;
exports.aiConfigsMetricListingRepToJSON = aiConfigsMetricListingRepToJSON;
exports.aiConfigsMetricListingRepFromJSON = aiConfigsMetricListingRepFromJSON;
const z = __importStar(require("zod/v3"));
const primitives_js_1 = require("../../lib/primitives.js");
const schemas_js_1 = require("../../lib/schemas.js");
const aiconfigsaccess_js_1 = require("./aiconfigsaccess.js");
const aiconfigsfilter_js_1 = require("./aiconfigsfilter.js");
const aiconfigslink_js_1 = require("./aiconfigslink.js");
const aiconfigsmembersummary_js_1 = require("./aiconfigsmembersummary.js");
const aiconfigsmetricdatasourcerefrep_js_1 = require("./aiconfigsmetricdatasourcerefrep.js");
const aiconfigsmetricdenominatorrep_js_1 = require("./aiconfigsmetricdenominatorrep.js");
const aiconfigsmetriceventdefaultrep_js_1 = require("./aiconfigsmetriceventdefaultrep.js");
const aiconfigsmodification_js_1 = require("./aiconfigsmodification.js");
/**
 * The kind of event the metric tracks
 */
exports.AiConfigsMetricListingRepKind = {
    Pageview: "pageview",
    Click: "click",
    Custom: "custom",
    Trace: "trace",
};
/**
 * For custom and trace metrics, the success criteria
 */
exports.AiConfigsMetricListingRepSuccessCriteria = {
    HigherThanBaseline: "HigherThanBaseline",
    LowerThanBaseline: "LowerThanBaseline",
};
/**
 * The method by which multiple unit event values are aggregated
 */
exports.AiConfigsMetricListingRepUnitAggregationType = {
    Average: "average",
    Sum: "sum",
    CountDistinct: "count_distinct",
};
/**
 * The method for analyzing metric events
 */
exports.AiConfigsMetricListingRepAnalysisType = {
    Mean: "mean",
    Percentile: "percentile",
};
/** @internal */
exports.AiConfigsMetricListingRepKind$inboundSchema = z.nativeEnum(exports.AiConfigsMetricListingRepKind);
/** @internal */
exports.AiConfigsMetricListingRepKind$outboundSchema = exports.AiConfigsMetricListingRepKind$inboundSchema;
/** @internal */
exports.AiConfigsMetricListingRepSuccessCriteria$inboundSchema = z
    .nativeEnum(exports.AiConfigsMetricListingRepSuccessCriteria);
/** @internal */
exports.AiConfigsMetricListingRepSuccessCriteria$outboundSchema = exports.AiConfigsMetricListingRepSuccessCriteria$inboundSchema;
/** @internal */
exports.AiConfigsMetricListingRepUnitAggregationType$inboundSchema = z
    .nativeEnum(exports.AiConfigsMetricListingRepUnitAggregationType);
/** @internal */
exports.AiConfigsMetricListingRepUnitAggregationType$outboundSchema = exports.AiConfigsMetricListingRepUnitAggregationType$inboundSchema;
/** @internal */
exports.AiConfigsMetricListingRepAnalysisType$inboundSchema = z.nativeEnum(exports.AiConfigsMetricListingRepAnalysisType);
/** @internal */
exports.AiConfigsMetricListingRepAnalysisType$outboundSchema = exports.AiConfigsMetricListingRepAnalysisType$inboundSchema;
/** @internal */
exports.AiConfigsMetricListingRep$inboundSchema = z.object({
    experimentCount: z.number().int().optional(),
    metricGroupCount: z.number().int().optional(),
    guardedRolloutCount: z.number().int().optional(),
    releasePolicyCount: z.number().int().optional(),
    activeExperimentCount: z.number().int().optional(),
    activeGuardedRolloutCount: z.number().int().optional(),
    _id: z.string(),
    _versionId: z.string(),
    _version: z.number().int().optional(),
    key: z.string(),
    name: z.string(),
    kind: exports.AiConfigsMetricListingRepKind$inboundSchema,
    _attachedFlagCount: z.number().int().optional(),
    _links: z.record(aiconfigslink_js_1.AiConfigsLink$inboundSchema),
    _site: aiconfigslink_js_1.AiConfigsLink$inboundSchema.optional(),
    _access: aiconfigsaccess_js_1.AiConfigsAccess$inboundSchema.optional(),
    tags: z.array(z.string()),
    _creationDate: z.number().int(),
    lastModified: aiconfigsmodification_js_1.AiConfigsModification$inboundSchema.optional(),
    maintainerId: z.string().optional(),
    _maintainer: aiconfigsmembersummary_js_1.AiConfigsMemberSummary$inboundSchema.optional(),
    description: z.string().optional(),
    category: z.string().optional(),
    isNumeric: z.boolean().optional(),
    successCriteria: exports.AiConfigsMetricListingRepSuccessCriteria$inboundSchema
        .optional(),
    unit: z.string().optional(),
    eventKey: z.string().optional(),
    randomizationUnits: z.array(z.string()).optional(),
    analysisUnits: z.array(z.string()).optional(),
    filters: aiconfigsfilter_js_1.AiConfigsFilter$inboundSchema.optional(),
    unitAggregationType: exports.AiConfigsMetricListingRepUnitAggregationType$inboundSchema.optional(),
    analysisType: exports.AiConfigsMetricListingRepAnalysisType$inboundSchema.optional(),
    percentileValue: z.number().int().optional(),
    eventDefault: aiconfigsmetriceventdefaultrep_js_1.AiConfigsMetricEventDefaultRep$inboundSchema.optional(),
    dataSource: aiconfigsmetricdatasourcerefrep_js_1.AiConfigsMetricDataSourceRefRep$inboundSchema,
    lastSeen: z.number().int().optional(),
    archived: z.boolean().optional(),
    archivedAt: z.number().int().optional(),
    selector: z.string().optional(),
    urls: z.array(z.record(z.any())).optional(),
    windowStartOffset: z.number().int().optional(),
    windowEndOffset: z.number().int().optional(),
    winsorLowerPercentile: z.number().optional(),
    winsorUpperPercentile: z.number().optional(),
    winsorIncludeImputed: z.boolean().optional(),
    traceQuery: z.string().optional(),
    traceValueLocation: z.string().optional(),
    unitAggregationField: z.string().optional(),
    denominator: aiconfigsmetricdenominatorrep_js_1.AiConfigsMetricDenominatorRep$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",
    });
});
/** @internal */
exports.AiConfigsMetricListingRep$outboundSchema = z.object({
    experimentCount: z.number().int().optional(),
    metricGroupCount: z.number().int().optional(),
    guardedRolloutCount: z.number().int().optional(),
    releasePolicyCount: z.number().int().optional(),
    activeExperimentCount: z.number().int().optional(),
    activeGuardedRolloutCount: z.number().int().optional(),
    id: z.string(),
    versionId: z.string(),
    version: z.number().int().optional(),
    key: z.string(),
    name: z.string(),
    kind: exports.AiConfigsMetricListingRepKind$outboundSchema,
    attachedFlagCount: z.number().int().optional(),
    links: z.record(aiconfigslink_js_1.AiConfigsLink$outboundSchema),
    site: aiconfigslink_js_1.AiConfigsLink$outboundSchema.optional(),
    access: aiconfigsaccess_js_1.AiConfigsAccess$outboundSchema.optional(),
    tags: z.array(z.string()),
    creationDate: z.number().int(),
    lastModified: aiconfigsmodification_js_1.AiConfigsModification$outboundSchema.optional(),
    maintainerId: z.string().optional(),
    maintainer: aiconfigsmembersummary_js_1.AiConfigsMemberSummary$outboundSchema.optional(),
    description: z.string().optional(),
    category: z.string().optional(),
    isNumeric: z.boolean().optional(),
    successCriteria: exports.AiConfigsMetricListingRepSuccessCriteria$outboundSchema
        .optional(),
    unit: z.string().optional(),
    eventKey: z.string().optional(),
    randomizationUnits: z.array(z.string()).optional(),
    analysisUnits: z.array(z.string()).optional(),
    filters: aiconfigsfilter_js_1.AiConfigsFilter$outboundSchema.optional(),
    unitAggregationType: exports.AiConfigsMetricListingRepUnitAggregationType$outboundSchema.optional(),
    analysisType: exports.AiConfigsMetricListingRepAnalysisType$outboundSchema.optional(),
    percentileValue: z.number().int().optional(),
    eventDefault: aiconfigsmetriceventdefaultrep_js_1.AiConfigsMetricEventDefaultRep$outboundSchema.optional(),
    dataSource: aiconfigsmetricdatasourcerefrep_js_1.AiConfigsMetricDataSourceRefRep$outboundSchema,
    lastSeen: z.number().int().optional(),
    archived: z.boolean().optional(),
    archivedAt: z.number().int().optional(),
    selector: z.string().optional(),
    urls: z.array(z.record(z.any())).optional(),
    windowStartOffset: z.number().int().optional(),
    windowEndOffset: z.number().int().optional(),
    winsorLowerPercentile: z.number().optional(),
    winsorUpperPercentile: z.number().optional(),
    winsorIncludeImputed: z.boolean().optional(),
    traceQuery: z.string().optional(),
    traceValueLocation: z.string().optional(),
    unitAggregationField: z.string().optional(),
    denominator: aiconfigsmetricdenominatorrep_js_1.AiConfigsMetricDenominatorRep$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",
    });
});
function aiConfigsMetricListingRepToJSON(aiConfigsMetricListingRep) {
    return JSON.stringify(exports.AiConfigsMetricListingRep$outboundSchema.parse(aiConfigsMetricListingRep));
}
function aiConfigsMetricListingRepFromJSON(jsonString) {
    return (0, schemas_js_1.safeParse)(jsonString, (x) => exports.AiConfigsMetricListingRep$inboundSchema.parse(JSON.parse(x)), `Failed to parse 'AiConfigsMetricListingRep' from JSON`);
}
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