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Google Cloud MCP Server

by andyl25
metrics_lookup.d.ts3.08 kB
/** * Represents a metric from the documentation */ export interface Metric { /** The full metric type (e.g., 'compute.googleapis.com/instance/cpu/utilization') */ type: string; /** The display name of the metric */ displayName: string; /** The description of the metric */ description: string; /** The kind of metric (GAUGE, DELTA, CUMULATIVE) */ kind: string; /** The value type (INT64, DOUBLE, DISTRIBUTION, etc.) */ valueType: string; /** The unit of the metric */ unit: string; /** The monitored resource types this metric applies to */ monitoredResources: string[]; /** The labels that can be used with this metric */ labels: Array<{ name: string; description: string; }>; /** The source documentation file this metric was found in */ source: string; } /** * Categories of metrics documentation */ export declare enum MetricCategory { GCP = "gcp", Kubernetes = "kubernetes", Istio = "istio" } /** * Class to handle metric lookups from documentation */ export declare class MetricsLookup { private metrics; private initialized; private metricsDir; /** * Create a new MetricsLookup instance * * @param metricsDir The directory containing metrics markdown files */ constructor(metricsDir: string); /** * Initialize the metrics lookup by parsing all metrics files */ initialize(): Promise<void>; /** * Parse a metrics markdown file and extract metric information * * @param category The category of metrics to parse */ private parseMetricsFile; /** * Find metrics based on a natural language query * * @param query The natural language query to search for * @param category Optional category to limit the search to * @param limit Maximum number of results to return * @returns Array of matching metrics */ findMetrics(query: string, category?: MetricCategory, limit?: number): Metric[]; /** * Extract key terms from a natural language query * * @param query The query to extract terms from * @returns Array of key terms */ private extractKeyTerms; /** * Calculate a relevance score for a metric based on how well it matches the query terms * * @param metric The metric to score * @param terms The key terms from the query * @param fullQuery The full original query * @returns A relevance score (higher is better) */ private calculateRelevanceScore; /** * Get a metric by its exact type * * @param metricType The full metric type to look up * @returns The metric or undefined if not found */ getMetricByType(metricType: string): Metric | undefined; /** * Suggest a monitoring filter based on a natural language query * * @param query The natural language query * @returns A suggested monitoring filter string */ suggestFilter(query: string): string; } export declare const metricsLookup: MetricsLookup;

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