diff --git a/.eslintignore b/.eslintignore new file mode 100644 index 0000000..3d40308 --- /dev/null +++ b/.eslintignore @@ -0,0 +1,4 @@ +node_modules +dist +generated +**/*.d.ts diff --git a/.eslintrc.json b/.eslintrc.json new file mode 100644 index 0000000..b2bed0e --- /dev/null +++ b/.eslintrc.json @@ -0,0 +1,60 @@ +{ + "root": true, + "env": { + "es2021": true + }, + "extends": [ + "eslint:recommended", + "plugin:@typescript-eslint/recommended", + "plugin:@typescript-eslint/recommended-requiring-type-checking", + "plugin:import/recommended", + "plugin:prettier/recommended", + "plugin:node/recommended" + ], + "parser": "@typescript-eslint/parser", + "parserOptions": { + "ecmaVersion": 12, + "project": "./tsconfig.json" + }, + "plugins": ["@typescript-eslint"], + "rules": { + "semi": ["error", "always"], + "import/no-extraneous-dependencies": ["error", {}], + "node/no-unsupported-features/es-syntax": "off", + "node/no-missing-import": ["error", { + "tryExtensions": [".js", ".ts", ".json", ".node"] + }], + "prettier/prettier": "error", + "block-scoped-var": "error", + "eqeqeq": "error", + "no-var": "error", + "prefer-const": "error", + "eol-last": "error", + "prefer-arrow-callback": "error", + "no-trailing-spaces": "error", + "@typescript-eslint/switch-exhaustiveness-check": "error", + "quotes": ["warn", "single", { "avoidEscape": true }], + "no-restricted-properties": [ + "error", + { + "object": "describe", + "property": "only" + }, + { + "object": "it", + "property": "only" + } + ], + // async without await is often an error and in other uses it obfuscates + // the intent of the developer. Functions are async when they want to await. + "require-await": "error", + "import/no-duplicates": "error" + }, + "settings": { + "import/resolver": { + "node": { + "extensions": [".js", ".jsx", ".ts", ".tsx"] + } + } + } +} diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml new file mode 100644 index 0000000..da3e610 --- /dev/null +++ b/.github/workflows/build.yml @@ -0,0 +1,22 @@ +# This workflow will run tests using node and then publish a package to GitHub Packages when a release is created +# For more information see: https://docs.github.com/en/actions/publishing-packages/publishing-nodejs-packages + +name: Build Node.js Package + +on: + pull_request: + branches: [main] + +jobs: + build: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v3 + - uses: actions/setup-node@v3 + with: + node-version: 16 + - name: Install and Build + if: ${{ steps.release.outputs.release_created }} + run: | + npm ci + npm run build diff --git a/.github/workflows/publish.yml b/.github/workflows/publish.yml new file mode 100644 index 0000000..e1d9119 --- /dev/null +++ b/.github/workflows/publish.yml @@ -0,0 +1,41 @@ +on: + push: + branches: + - main + +permissions: + contents: write + pull-requests: write + +name: release-please +jobs: + release-please: + runs-on: ubuntu-latest + steps: + - uses: google-github-actions/release-please-action@v3 + id: release + with: + release-type: node + package-name: goodmetrics-nodejs + bump-minor-pre-major: true + prerelease: true + # The logic below handles the npm publication: + - uses: actions/checkout@v2 + # these if statements ensure that a publication only occurs when + # a new release is created: + if: ${{ steps.release.outputs.release_created }} + - uses: actions/setup-node@v1 + with: + node-version: 16 + registry-url: 'https://registry.npmjs.org' + if: ${{ steps.release.outputs.release_created }} + - name: Install and Build + if: ${{ steps.release.outputs.release_created }} + run: | + npm ci + npm run build + - run: npm publish + name: Publish + env: + NODE_AUTH_TOKEN: ${{secrets.NPM_TOKEN}} + if: ${{ steps.release.outputs.release_created }} diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..8f0b806 --- /dev/null +++ b/.gitignore @@ -0,0 +1,8 @@ +*.js +!jest.config.js +*.d.ts +**/node_modules/**/* +.idea +dist/ +.vscode/ +.DS_Store diff --git a/.npmignore b/.npmignore new file mode 100644 index 0000000..25c8fdb --- /dev/null +++ b/.npmignore @@ -0,0 +1,2 @@ +node_modules +package-lock.json \ No newline at end of file diff --git a/.prettierrc.json b/.prettierrc.json new file mode 100644 index 0000000..3925ab8 --- /dev/null +++ b/.prettierrc.json @@ -0,0 +1,6 @@ +{ + "bracketSpacing": false, + "singleQuote": true, + "trailingComma": "es5", + "arrowParens": "avoid" +} diff --git a/README.md b/README.md new file mode 100644 index 0000000..772d039 --- /dev/null +++ b/README.md @@ -0,0 +1,34 @@ +# Goodmetrics Nodejs + +example usage +```javascript +import {MetricsSetups} from './goodmetrics/metricsSetups'; +import {Dimension} from './goodmetrics/_Metrics'; +import {TimestampAt} from './goodmetrics/metricsFactory'; + +const delay = async (ms: number): Promise => { + return await new Promise(resolve => { + setTimeout(() => { + resolve(); + }, ms); + }); +}; + +const main = async () => { + const metrics = + MetricsSetups.lightstepNativeOtlpButItSendsMetricsUponRecordingForLambda({ + aggregationWidthMillis: 10 * 1000 * 1000, + lightstepAccessToken: '', + prescientDimensions: new Map(), + }); + + await metrics.record('my_metric', TimestampAt.Start, async metrics => { + console.info('inside metrics block'); + metrics.measure('runs', 1); + await delay(100); + metrics.dimension('result', 'success'); + }); +}; + +main().finally(); +``` \ No newline at end of file diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 0000000..27f33d8 --- /dev/null +++ b/package-lock.json @@ -0,0 +1,7875 @@ +{ + "name": "goodmetrics-nodejs", + "version": 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">=6" + } + } + } +} diff --git a/package.json b/package.json new file mode 100644 index 0000000..005be8c --- /dev/null +++ b/package.json @@ -0,0 +1,44 @@ +{ + "scripts": { + "prebuild": "eslint . --ext .ts", + "build": "tsc", + "lint": "eslint . --ext .ts", + "format": "eslint . --ext .ts --fix" + }, + "main": "dist/index.js", + "files": [ + "dist/" + ], + "types": "dist/index.d.ts", + "devDependencies": { + "@types/google-protobuf": "3.15.6", + "@types/jest": "27.0.1", + "@types/node": "^20.6.0", + "@typescript-eslint/eslint-plugin": "4.31.0", + "@typescript-eslint/parser": "4.31.0", + "eslint": "7.32.0", + "eslint-config-prettier": "8.3.0", + "eslint-config-standard": "16.0.3", + "eslint-plugin-import": "2.24.2", + "eslint-plugin-node": "11.1.0", + "eslint-plugin-prettier": "4.0.0", + "eslint-plugin-promise": "5.1.0", + "jest": "27.1.1", + "prettier": "2.4.0", + "protoc-gen-ts": "^0.8.6", + "ts-jest": "27.0.5", + "ts-node": "^10.9.1", + "typescript": "4.4.2" + }, + "dependencies": { + "@grpc/grpc-js": "1.9.0", + "goodmetrics-generated": "0.0.3", + "google-protobuf": "3.21.2", + "otlp-generated": "0.0.7" + }, + "engines": { + "node": ">=16.0.0" + }, + "name": "goodmetrics-nodejs", + "version": "0.0.1" +} diff --git a/src/goodmetrics/_Metrics.ts b/src/goodmetrics/_Metrics.ts new file mode 100644 index 0000000..094c4e3 --- /dev/null +++ b/src/goodmetrics/_Metrics.ts @@ -0,0 +1,236 @@ +import {otlp_common, otlp_metrics} from 'otlp-generated'; +import {bucket, bucketBelow} from './pipeline/aggregator'; +import Metric = otlp_metrics.opentelemetry.proto.metrics.v1.Metric; +import KeyValue = otlp_common.opentelemetry.proto.common.v1.KeyValue; +import AnyValue = otlp_common.opentelemetry.proto.common.v1.AnyValue; +import Gauge = otlp_metrics.opentelemetry.proto.metrics.v1.Gauge; +import Histogram = otlp_metrics.opentelemetry.proto.metrics.v1.Histogram; +import HistogramDataPoint = otlp_metrics.opentelemetry.proto.metrics.v1.HistogramDataPoint; +import AggregationTemporality = otlp_metrics.opentelemetry.proto.metrics.v1.AggregationTemporality; +import {newNumberDataPoint} from './data/otlp/numbersDataPoint'; + +export enum MetricsBehavior { + DEFAULT = 'default', + NO_TOTALTIME = 'no_totaltime', // don't include a `totaltime` timeseries for the metric +} + +export abstract class Dimension { + readonly name: string; + constructor(name: string) { + this.name = name; + } + + abstract asOtlpKeyValue(): KeyValue; +} + +export class StringDimension extends Dimension { + readonly value: string; + constructor(name: string, value: string) { + super(name); + this.value = value; + } + + asOtlpKeyValue(): KeyValue { + const value = new AnyValue({string_value: this.value}); + return new KeyValue({key: this.name, value}); + } +} + +export class NumberDimension extends Dimension { + readonly value: number; + constructor(name: string, value: number) { + super(name); + this.value = value; + } + + asOtlpKeyValue(): KeyValue { + const value = new AnyValue({int_value: this.value}); + return new KeyValue({key: this.name, value}); + } +} + +export class BooleanDimension extends Dimension { + readonly value: boolean; + constructor(name: string, value: boolean) { + super(name); + this.value = value; + } + + asOtlpKeyValue(): KeyValue { + const value = new AnyValue({bool_value: this.value}); + return new KeyValue({key: this.name, value}); + } +} + +interface ViewProps { + metricName: string; + timestampMillis: number; + startMilliTime: number; + dimensions: Map; + measurements: Map; + distributions: Map; +} + +class View { + private readonly metricName: string; + private readonly timestampMillis: number; + private readonly startMilliTime: number; + private readonly dimensions: Map; + private readonly measurements: Map; + private readonly distributions: Map; + constructor(props: ViewProps) { + this.metricName = props.metricName; + this.timestampMillis = props.timestampMillis; + this.startMilliTime = props.startMilliTime; + this.dimensions = props.dimensions; + this.measurements = props.measurements; + this.distributions = props.distributions; + } +} + +interface MetricsProps { + name: string; + timestampMillis: number; + startMilliTime: number; + metricsBehavior?: MetricsBehavior; +} + +// We only want to expose these functions to our users, none of the internal otlp bs +export interface Metrics { + distribution: (name: string, value: number) => void; + dimension: (dimension: string, value: boolean | number | string) => void; + measure: (name: string, value: number) => void; +} + +export class _Metrics implements Metrics { + private readonly name: string; + timestampMillis: number; + readonly startMilliTime: number; + readonly metricsBehavior: MetricsBehavior; + private readonly metricMeasurements: Map = new Map(); + private readonly metricDistributions: Map = new Map(); + private readonly metricDimensions: Map = new Map(); + constructor(props: MetricsProps) { + this.name = props.name; + this.timestampMillis = props.timestampMillis; + this.startMilliTime = props.startMilliTime; + this.metricsBehavior = props.metricsBehavior ?? MetricsBehavior.DEFAULT; + } + + getView(): View { + return new View({ + metricName: this.name, + timestampMillis: this.timestampMillis, + startMilliTime: this.startMilliTime, + measurements: this.metricMeasurements, + dimensions: this.metricDimensions, + distributions: this.metricDistributions, + }); + } + + dimension(dimension: string, value: boolean | number | string) { + if (typeof value === 'boolean') { + const d = new BooleanDimension(dimension, value); + this.metricDimensions.set(dimension, d); + } else if (typeof value === 'number') { + const d = new NumberDimension(dimension, value); + this.metricDimensions.set(dimension, d); + } else if (typeof value === 'string') { + const d = new StringDimension(dimension, value); + this.metricDimensions.set(dimension, d); + } + } + + measure(name: string, value: number) { + this.metricMeasurements.set(name, value); + } + + /** + * Distributions are positive only. + * This only records 1 position of a distribution per Metrics lifetime. + */ + distribution(name: string, value: number) { + if (value < 0) { + return; + } + this.metricDistributions.set(name, value); + } + + asOtlpHistogram(otlpDimensions: KeyValue[], value: number): Histogram { + const bucketValue = bucket(value); + const explicitBounds: number[] = []; + const bucketCounts: number[] = []; + if (0 < bucketValue) { + // This little humdinger is here so Lightstep can interpret the boundary for the _real_ measurement + // below. It's similar to the 0 that opentelemetry demands, but different in that it is actually a + // reasonable ask. + // Lightstep has an internal representation of histograms & while I don't pretend to understand + // how they've implemented them, they told me that they interpret the absence of a lower bounding + // bucket as an infinite lower bound. That's not consistent with my read of otlp BUT it makes + // infinitely more sense than imposing an upper infinity bucket upon your protocol. + // Prometheus is a cataclysm from which there is no redemption: It ruins developers' minds with + // its broken and much lauded blunders; it shames my profession by its protocol as well as those + // spawned through its vile influence and disappoints the thoughtful by its existence. + // But, you know, this particular thing for Lightstep seems fine because there's technical merit. + explicitBounds.push(bucketBelow(value)); + bucketCounts.push(0); + } + + explicitBounds.push(bucketValue); + bucketCounts.push(1); + bucketCounts.push(0); // otlp go die in a fire + const dataPoint = new HistogramDataPoint({ + attributes: otlpDimensions, + start_time_unix_nano: + (this.timestampMillis - (Date.now() - this.startMilliTime)) * + 1000 * + 1000, + time_unix_nano: this.timestampMillis * 1000 * 1000, + count: 1, + bucket_counts: bucketCounts, + explicit_bounds: explicitBounds, + }); + + return new Histogram({ + data_points: [dataPoint], + aggregation_temporality: + AggregationTemporality.AGGREGATION_TEMPORALITY_DELTA, + }); + } + + asGoofyOtlpMetricSequence(): Metric[] { + const otlpDimensions: KeyValue[] = []; + for (const dimension of this.metricDimensions.values()) { + otlpDimensions.push(dimension.asOtlpKeyValue()); + } + const metricsWeAreReturning: Metric[] = []; + this.metricMeasurements.forEach((value, measurementName) => { + const m = new Metric({ + name: `${this.name}_${measurementName}`, + unit: '1', + gauge: new Gauge({ + data_points: [ + newNumberDataPoint( + value, + this.timestampMillis, + Date.now() - this.startMilliTime, + otlpDimensions + ), + ], + }), + }); + metricsWeAreReturning.push(m); + }); + + this.metricDistributions.forEach((value, measurementName) => { + const m = new Metric({ + name: `${this.name}_${measurementName}`, + unit: '1', + histogram: this.asOtlpHistogram(otlpDimensions, value), + }); + metricsWeAreReturning.push(m); + }); + + return metricsWeAreReturning; + } +} diff --git a/src/goodmetrics/data/Aggregation.ts b/src/goodmetrics/data/Aggregation.ts new file mode 100644 index 0000000..a302067 --- /dev/null +++ b/src/goodmetrics/data/Aggregation.ts @@ -0,0 +1,3 @@ +export abstract class Aggregation { + abstract accumulate(value: number): void; +} diff --git a/src/goodmetrics/data/Histogram.ts b/src/goodmetrics/data/Histogram.ts new file mode 100644 index 0000000..78fdc64 --- /dev/null +++ b/src/goodmetrics/data/Histogram.ts @@ -0,0 +1,74 @@ +import {bucket, bucketBelow} from '../pipeline/aggregator'; +import {Aggregation} from './Aggregation'; +import {otlp_common, otlp_metrics} from 'otlp-generated'; +import OtlpHistogram = otlp_metrics.opentelemetry.proto.metrics.v1.Histogram; +import KeyValue = otlp_common.opentelemetry.proto.common.v1.KeyValue; +import AggregationTemporality = otlp_metrics.opentelemetry.proto.metrics.v1.AggregationTemporality; +import HistogramDataPoint = otlp_metrics.opentelemetry.proto.metrics.v1.HistogramDataPoint; + +interface AsOtlpHistogramProps { + dimensions: KeyValue[]; + timestampMillis: number; + aggregationWidthMillis: number; +} + +export class Histogram extends Aggregation { + readonly bucketCounts: Map; + constructor() { + super(); + this.bucketCounts = new Map(); + } + + accumulate(value: number) { + const _bucket = bucket(value); + const count = this.bucketCounts.get(_bucket); + if (count) { + this.bucketCounts.set(_bucket, count + 1); + } else { + this.bucketCounts.set(_bucket, 1); + } + } + + asOtlpHistogram(props: AsOtlpHistogramProps): OtlpHistogram { + const startTimeUnixMilli = + props.timestampMillis - props.aggregationWidthMillis; + let count = 0; + for (const num of this.bucketCounts.values()) { + count += num; + } + const sortedBuckets = [...this.bucketCounts.entries()].sort(); + const otlpBucketCounts: number[] = []; + const otlpExplicitBounds: number[] = []; + sortedBuckets.map(([bucket, count]) => { + const below = bucketBelow(bucket); + if (0 < below && !this.bucketCounts.has(below)) { + // And THIS little humdinger is here so Lightstep can interpret the boundary for all non-zero + // buckets. Lightstep histogram implementation wants non-zero-count ranges to have lower bounds. + // Not how I've done histograms in the past but :shrug: whatever, looks like the opentelemetry + // metrics spec is at fault for this one; they refused to improve the specification from + // openmetrics, which was bastardized in turn by that root of all monitoring evil: Prometheus. + // Lightstep is a business which must adhere to de-facto standards, so I don't fault them for + // this; though I would love it if they were to also adopt a good protocol. + otlpExplicitBounds.push(below); + otlpBucketCounts.push(0); + } + otlpExplicitBounds.push(bucket); + otlpBucketCounts.push(count); + }); + otlpBucketCounts.push(0); // because OTLP is _stupid_ and defined histogram format to have an implicit infinity bucket. + return new OtlpHistogram({ + aggregation_temporality: + AggregationTemporality.AGGREGATION_TEMPORALITY_DELTA, + data_points: [ + new HistogramDataPoint({ + attributes: props.dimensions, + start_time_unix_nano: startTimeUnixMilli * 1000 * 1000, + time_unix_nano: props.timestampMillis * 1000 * 1000, + count, + bucket_counts: otlpBucketCounts, + explicit_bounds: otlpExplicitBounds, + }), + ], + }); + } +} diff --git a/src/goodmetrics/data/StatisticSet.ts b/src/goodmetrics/data/StatisticSet.ts new file mode 100644 index 0000000..9dfbd35 --- /dev/null +++ b/src/goodmetrics/data/StatisticSet.ts @@ -0,0 +1,132 @@ +import {Aggregation} from './Aggregation'; +import {otlp_common, otlp_metrics} from 'otlp-generated'; +import Metric = otlp_metrics.opentelemetry.proto.metrics.v1.Metric; +import KeyValue = otlp_common.opentelemetry.proto.common.v1.KeyValue; +import Sum = otlp_metrics.opentelemetry.proto.metrics.v1.Sum; +import AggregationTemporality = otlp_metrics.opentelemetry.proto.metrics.v1.AggregationTemporality; +import {newNumberDataPoint} from './otlp/numbersDataPoint'; + +interface StatisticSetDataPointProps { + metricName: string; + measurementName: string; + statisticSetComponent: string; + value: number; + timestampMillis: number; + aggregationWidthMillis: number; + dimensions: KeyValue[]; +} + +interface ToOtlpProps { + metric: string; + measurementName: string; + timestampMillis: number; + aggregationWidthMillis: number; + dimensions: KeyValue[]; +} + +interface Props { + min: number; + max: number; + sum: number; + count: number; +} + +export class StatisticSet extends Aggregation { + private min: number; + private max: number; + private sum: number; + private count: number; + constructor(props: Props) { + super(); + this.min = props.min; + this.max = props.max; + this.sum = props.sum; + this.count = props.count; + } + + addSS(other: StatisticSet): StatisticSet { + return new StatisticSet({ + max: Math.max(this.max, other.max), + min: Math.min(this.min, other.min), + sum: this.sum + other.sum, + count: this.count + other.count, + }); + } + + addNum(num: number): StatisticSet { + return new StatisticSet({ + max: Math.max(this.max, num), + min: Math.min(this.min, num), + sum: this.sum + num, + count: this.count + 1, + }); + } + + private statisticSetDataPoint(props: StatisticSetDataPointProps): Metric { + return new Metric({ + name: `${props.metricName}_${props.measurementName}_${props.statisticSetComponent}`, + unit: '1', + sum: new Sum({ + is_monotonic: false, + aggregation_temporality: + AggregationTemporality.AGGREGATION_TEMPORALITY_DELTA, + data_points: [ + newNumberDataPoint( + props.value, + props.timestampMillis, + props.aggregationWidthMillis, + props.dimensions + ), + ], + }), + }); + } + + accumulate(value: number): void { + this.max = Math.max(value, this.max); + this.min = Math.min(value, this.min); + this.sum = this.sum + value; + this.count = this.count + 1; + } + + toOtlp(props: ToOtlpProps): Metric[] { + return [ + this.statisticSetDataPoint({ + measurementName: props.measurementName, + statisticSetComponent: 'min', + value: this.min, + metricName: props.metric, + dimensions: props.dimensions, + aggregationWidthMillis: props.aggregationWidthMillis, + timestampMillis: props.timestampMillis, + }), + this.statisticSetDataPoint({ + measurementName: props.measurementName, + statisticSetComponent: 'max', + value: this.max, + metricName: props.metric, + dimensions: props.dimensions, + aggregationWidthMillis: props.aggregationWidthMillis, + timestampMillis: props.timestampMillis, + }), + this.statisticSetDataPoint({ + measurementName: props.measurementName, + statisticSetComponent: 'count', + value: this.count, + metricName: props.metric, + dimensions: props.dimensions, + aggregationWidthMillis: props.aggregationWidthMillis, + timestampMillis: props.timestampMillis, + }), + this.statisticSetDataPoint({ + measurementName: props.measurementName, + statisticSetComponent: 'sum', + value: this.sum, + metricName: props.metric, + dimensions: props.dimensions, + aggregationWidthMillis: props.aggregationWidthMillis, + timestampMillis: props.timestampMillis, + }), + ]; + } +} diff --git a/src/goodmetrics/data/otlp/library.ts b/src/goodmetrics/data/otlp/library.ts new file mode 100644 index 0000000..bdb4ccf --- /dev/null +++ b/src/goodmetrics/data/otlp/library.ts @@ -0,0 +1,7 @@ +import {otlp_common} from 'otlp-generated'; +import InstrumentationScope = otlp_common.opentelemetry.proto.common.v1.InstrumentationScope; + +export const library = new InstrumentationScope({ + name: 'goodmetrics_nodejs', + version: 'development', +}); diff --git a/src/goodmetrics/data/otlp/numbersDataPoint.ts b/src/goodmetrics/data/otlp/numbersDataPoint.ts new file mode 100644 index 0000000..c488bb7 --- /dev/null +++ b/src/goodmetrics/data/otlp/numbersDataPoint.ts @@ -0,0 +1,31 @@ +import {otlp_common, otlp_metrics} from 'otlp-generated'; +import NumberDataPoint = otlp_metrics.opentelemetry.proto.metrics.v1.NumberDataPoint; +import KeyValue = otlp_common.opentelemetry.proto.common.v1.KeyValue; + +export function newNumberDataPoint( + value: number, + timestampMillis: number, + aggregationWidthMillis: number, + dimensions: KeyValue[] +): NumberDataPoint { + const _int = Number.isInteger(value) ? value : undefined; + if (_int) { + return new NumberDataPoint({ + time_unix_nano: timestampMillis * 1000 * 1000, + start_time_unix_nano: + (timestampMillis - aggregationWidthMillis) * 1000 * 1000, + attributes: dimensions, + // todo how do determine if is int or double??? + as_int: _int, + }); + } + + return new NumberDataPoint({ + time_unix_nano: timestampMillis * 1000 * 1000, + start_time_unix_nano: + (timestampMillis - aggregationWidthMillis) * 1000 * 1000, + attributes: dimensions, + // todo how do determine if is int or double??? + as_double: value, + }); +} diff --git a/src/goodmetrics/data/otlpDataPoints.ts b/src/goodmetrics/data/otlpDataPoints.ts new file mode 100644 index 0000000..e69de29 diff --git a/src/goodmetrics/downstream/grpc/headerInterceptor.ts b/src/goodmetrics/downstream/grpc/headerInterceptor.ts new file mode 100644 index 0000000..82a9535 --- /dev/null +++ b/src/goodmetrics/downstream/grpc/headerInterceptor.ts @@ -0,0 +1,51 @@ +import {InterceptingCall, Interceptor} from '@grpc/grpc-js'; + +export class Header { + public readonly onceOnlyHeaders: string[] = ['Agent']; + public readonly name: string; + public readonly value: string; + + /** + * @param {string} name + * @param {string} value + */ + constructor(name: string, value: string) { + this.name = name; + this.value = value; + } +} + +export class HeaderInterceptorProvider { + private readonly headersToAddEveryTime: Header[]; + private readonly headersToAddOnce: Header[]; + private static areOnlyOnceHeadersSent = false; + + /** + * @param {Header[]} headers + */ + constructor(headers: Header[]) { + this.headersToAddOnce = headers.filter(header => + header.onceOnlyHeaders.includes(header.name) + ); + this.headersToAddEveryTime = headers.filter( + header => !header.onceOnlyHeaders.includes(header.name) + ); + } + + public createHeadersInterceptor(): Interceptor { + return (options, nextCall) => { + return new InterceptingCall(nextCall(options), { + start: (metadata, listener, next) => { + this.headersToAddEveryTime.forEach(h => + metadata.add(h.name, h.value) + ); + if (!HeaderInterceptorProvider.areOnlyOnceHeadersSent) { + HeaderInterceptorProvider.areOnlyOnceHeadersSent = true; + this.headersToAddOnce.forEach(h => metadata.add(h.name, h.value)); + } + next(metadata, {}); + }, + }); + }; + } +} diff --git a/src/goodmetrics/downstream/openTelemetryClient.ts b/src/goodmetrics/downstream/openTelemetryClient.ts new file mode 100644 index 0000000..c13aca3 --- /dev/null +++ b/src/goodmetrics/downstream/openTelemetryClient.ts @@ -0,0 +1,165 @@ +import {Dimension, _Metrics} from '../_Metrics'; +import { + otlp_common, + otlp_metrics, + otlp_metric_service, + otlp_resource, +} from 'otlp-generated'; +import ResourceMetrics = otlp_metrics.opentelemetry.proto.metrics.v1.ResourceMetrics; +import MetricsServiceClient = otlp_metric_service.opentelemetry.proto.collector.metrics.v1.MetricsServiceClient; +import KeyValue = otlp_common.opentelemetry.proto.common.v1.KeyValue; +import Resource = otlp_resource.opentelemetry.proto.resource.v1.Resource; +import ExportMetricsServiceRequest = otlp_metric_service.opentelemetry.proto.collector.metrics.v1.ExportMetricsServiceRequest; +import {AggregatedBatch} from '../pipeline/aggregator'; +import ScopeMetrics = otlp_metrics.opentelemetry.proto.metrics.v1.ScopeMetrics; +import {library} from '../data/otlp/library'; +import {ChannelCredentials, Interceptor} from '@grpc/grpc-js'; + +export enum SecurityMode { + Plaintext = 'plaintext', + Tls = 'tls', +} + +interface OpenTelemetryClientProps { + address: string; + channelCredentials: ChannelCredentials; + resourceDimensions: Map; + metricDimensions: Map; + timeoutMillis: number; + logRawPayload?: (resourceMetrics: ResourceMetrics) => void; + interceptors: Interceptor[]; +} + +interface ConnectProps { + sillyOtlpHostname?: string; + port?: number; + resourceDimensions: Map; + metricDimensions: Map; + securityMode?: SecurityMode; + timeoutMillis?: number; + logRawPayload?: (resourceMetrics: ResourceMetrics) => void; + interceptors: Interceptor[]; +} + +function asOtlpDimensions(map: Map): KeyValue[] { + const keyValues: KeyValue[] = []; + map.forEach((dimension, _key) => { + const kv = dimension.asOtlpKeyValue(); + keyValues.push(kv); + }); + + return keyValues; +} + +export class OpenTelemetryClient { + private readonly client: MetricsServiceClient; + private readonly interceptors: Interceptor[]; + private readonly resourceDimensions: Resource; + private readonly metricDimensions: Resource; + private readonly logRawPayload?: (resourceMetrics: ResourceMetrics) => void; + constructor(props: OpenTelemetryClientProps) { + this.client = new MetricsServiceClient( + 'ingest.lightstep.com:443', + ChannelCredentials.createSsl() + ); + this.resourceDimensions = new Resource({ + attributes: asOtlpDimensions(props.resourceDimensions), + }); + this.metricDimensions = new Resource({ + attributes: asOtlpDimensions(props.metricDimensions), + }); + this.logRawPayload = props.logRawPayload; + this.interceptors = props.interceptors; + } + + static connect(props: ConnectProps): OpenTelemetryClient { + let channelCreds: ChannelCredentials; + switch (props.securityMode) { + case SecurityMode.Plaintext: + channelCreds = ChannelCredentials.createInsecure(); + break; + case SecurityMode.Tls: + default: + channelCreds = ChannelCredentials.createSsl(); + break; + } + return new OpenTelemetryClient({ + address: props.sillyOtlpHostname ?? 'localhost', + channelCredentials: channelCreds, + resourceDimensions: props.resourceDimensions, + metricDimensions: props.metricDimensions, + timeoutMillis: props.timeoutMillis ?? 5 * 1000, + logRawPayload: props.logRawPayload, + interceptors: props.interceptors, + }); + } + + sendMetricsBatch(batch: _Metrics[]): Promise { + const resourceMetrics = this.asResourceMetrics(batch); + if (this.logRawPayload) { + this.logRawPayload(resourceMetrics); + } + + return new Promise((resolve, reject) => { + this.client.Export( + new ExportMetricsServiceRequest({ + resource_metrics: [resourceMetrics], + }), + {interceptors: this.interceptors}, + e => { + if (!e) { + resolve(); + } else { + reject(e); + } + } + ); + }); + } + + sendPreaggregatedBatch(batch: AggregatedBatch[]): Promise { + const resourceMetricsBatch = this.asResourceMetricsFromBatch(batch); + if (this.logRawPayload) { + this.logRawPayload(resourceMetricsBatch); + } + + return new Promise((resolve, reject) => { + this.client.Export( + new ExportMetricsServiceRequest({ + resource_metrics: [resourceMetricsBatch], + }), + {interceptors: this.interceptors}, + e => { + if (!e) { + resolve(); + } else { + reject(e); + } + } + ); + }); + } + + private asScopeMetrics(batch: _Metrics[]): ScopeMetrics { + return new ScopeMetrics({ + scope: library, + metrics: batch.flatMap(b => b.asGoofyOtlpMetricSequence()), + }); + } + + private asResourceMetrics(batch: _Metrics[]): ResourceMetrics { + return new ResourceMetrics({ + scope_metrics: [this.asScopeMetrics(batch)], + resource: this.resourceDimensions, + }); + } + + private asResourceMetricsFromBatch( + batch: AggregatedBatch[] + ): ResourceMetrics { + return new ResourceMetrics({ + resource: this.resourceDimensions, + scope_metrics: batch.map(b => b.asOtlpScopeMetrics()), + }); + } +} diff --git a/src/goodmetrics/metricsFactory.ts b/src/goodmetrics/metricsFactory.ts new file mode 100644 index 0000000..6c78e79 --- /dev/null +++ b/src/goodmetrics/metricsFactory.ts @@ -0,0 +1,129 @@ +import {_Metrics, Metrics, MetricsBehavior} from './_Metrics'; +import {MetricsSink} from './pipeline/metricsSink'; + +export enum TimestampAt { + // Stamp the metric at the start + Start = 'start', + + // Stamp the metric at the end + End = 'end', +} + +export enum TotaltimeType { + /** + * totaltime is a histogram (preferred) + */ + DistributionMilliseconds = 'distribution_milliseconds', + + /** + * totaltime is a statisticset when preaggregated + */ + MeasurementMilliseconds = 'measurement_milliseconds', + + /** + * No totaltime metric + */ + None = 'none', +} + +interface Props { + metricsSink: MetricsSink; + totalTimeType: TotaltimeType; +} + +export class MetricsFactory { + protected readonly metricsSink: MetricsSink; + private readonly totalTimeType: TotaltimeType; + constructor(props: Props) { + this.metricsSink = props.metricsSink; + this.totalTimeType = props.totalTimeType; + } + + /** + * For every getMetrics(), you need to also emit() that Metrics object via this same MetricsFactory. + */ + private getMetrics( + name: string, + stampAt: TimestampAt, + metricsBehavior: MetricsBehavior = MetricsBehavior.DEFAULT + ): _Metrics { + let timestamp: number; + switch (stampAt) { + case TimestampAt.Start: + timestamp = Date.now(); + break; + case TimestampAt.End: + timestamp = -1; + break; + } + + return new _Metrics({ + name, + timestampMillis: timestamp, + startMilliTime: Date.now(), + metricsBehavior, + }); + } + + async record( + name: string, + stampAt: TimestampAt, + block: (metrics: Metrics) => Promise + ): Promise { + return await this.recordWithBehavior( + name, + stampAt, + MetricsBehavior.DEFAULT, + block + ); + } + + async recordWithBehavior( + name: string, + stampAt: TimestampAt, + metricsBehavior: MetricsBehavior, + block: (metrics: Metrics) => Promise + ): Promise { + const metrics = this.getMetrics(name, stampAt, metricsBehavior); + try { + const res = await block(metrics); + return res; + } finally { + await this.emit(metrics); + } + } + + /** + * Complete and release a Metrics to the configured downstream sink. + * If you don't emit() the metrics it will never show up downstream. + */ + private async emit(metrics: _Metrics) { + this.finalizeMetrics(metrics); + await this.metricsSink.emit(metrics); + } + + private finalizeMetrics(metrics: _Metrics) { + if (metrics.timestampMillis < 1) { + metrics.timestampMillis = Date.now(); + } + if (metrics.metricsBehavior === MetricsBehavior.NO_TOTALTIME) { + return; + } + + const datenow = Date.now(); + console.log('start time milli', metrics.startMilliTime); + console.log('Date.now()', datenow); + console.log('diff', datenow - metrics.startMilliTime); + const duration = Date.now() - metrics.startMilliTime; + switch (this.totalTimeType) { + case TotaltimeType.DistributionMilliseconds: + metrics.distribution('totaltime', duration); + break; + case TotaltimeType.MeasurementMilliseconds: + metrics.measure('totaltime', duration); + break; + case TotaltimeType.None: + break; + } + } +} diff --git a/src/goodmetrics/metricsSetups.ts b/src/goodmetrics/metricsSetups.ts new file mode 100644 index 0000000..eed9c23 --- /dev/null +++ b/src/goodmetrics/metricsSetups.ts @@ -0,0 +1,56 @@ +import {MetricsFactory, TotaltimeType} from './metricsFactory'; +import {Dimension, _Metrics} from './_Metrics'; +import { + OpenTelemetryClient, + SecurityMode, +} from './downstream/openTelemetryClient'; +import {MetricsSink} from './pipeline/metricsSink'; +import { + Header, + HeaderInterceptorProvider, +} from './downstream/grpc/headerInterceptor'; + +export interface ConfiguredMetrics { + unaryMetricsFactory: MetricsFactory; + preaggregatedMetricsFactory: MetricsFactory; +} + +interface LightstepNativeOtlpProps { + lightstepAccessToken: string; + prescientDimensions: Map; + aggregationWidthMillis: number; + lightstepUrl?: string; + lightstepPort?: number; + lightstepConnectionSecurityMode?: SecurityMode; + timeoutSeconds?: number; +} + +export class MetricsSetups { + static lightstepNativeOtlpButItSendsMetricsUponRecordingForLambda( + props: LightstepNativeOtlpProps + ): MetricsFactory { + const headers = [ + new Header('lightstep-access-token', props.lightstepAccessToken), + ]; + const client = OpenTelemetryClient.connect({ + sillyOtlpHostname: props.lightstepUrl ?? 'ingest.lightstep.com', + port: props.lightstepPort ?? 443, + metricDimensions: new Map(), + resourceDimensions: new Map(), + interceptors: [ + new HeaderInterceptorProvider(headers).createHeadersInterceptor(), + ], + }); + const unarySink: MetricsSink = { + async emit(metrics: _Metrics): Promise { + await client.sendMetricsBatch([metrics]); + return Promise.resolve(undefined); + }, + }; + + return new MetricsFactory({ + metricsSink: unarySink, + totalTimeType: TotaltimeType.DistributionMilliseconds, + }); + } +} diff --git a/src/goodmetrics/pipeline/aggregator.ts b/src/goodmetrics/pipeline/aggregator.ts new file mode 100644 index 0000000..d5ae969 --- /dev/null +++ b/src/goodmetrics/pipeline/aggregator.ts @@ -0,0 +1,118 @@ +/** + * Base 10 2-significant-figures bucketing + */ +import {Dimension} from '../_Metrics'; +import {otlp_metrics} from 'otlp-generated'; +import ScopeMetrics = otlp_metrics.opentelemetry.proto.metrics.v1.ScopeMetrics; +import Metric = otlp_metrics.opentelemetry.proto.metrics.v1.Metric; +import {Histogram} from '../data/Histogram'; +import {Aggregation} from '../data/Aggregation'; +import {StatisticSet} from '../data/StatisticSet'; +import {library} from '../data/otlp/library'; + +export function bucket(value: number): number { + if (value < 100) return Math.max(0, value); + const power = Math.log10(value); + const effectivePower = Math.max(0, power - 1); + const trashColumn = Math.pow(10, effectivePower); + const trash = value % trashColumn; + if (trash < 1) { + return value; + } else { + return value + trashColumn - trash; + } +} + +export function bucketBelow(valueIn: number): number { + const value = valueIn - 1; + if (value < 100) return Math.max(0, value); + const power = Math.log10(value); + const effectivePower = Math.max(0, power - 0.00001 - 1); + const trashColumn = Math.pow(10, effectivePower); + const trash = value % trashColumn; + return value - trash; +} + +/** + * Base 2 bucketing. This is plain bucketing; no sub-steps, just the next highest base2 power of value. + */ +export function bucketBase2(value: number): number { + const power = Math.ceil(Math.log2(value)); + return Math.pow(2, power); +} + +type MetricPosition = Set; +type MetricPositions = Map< + /** + * Dimensions - the position + */ + MetricPosition, + /** + * Measurement name -> aggregated measurement + * Measurements per position + */ + Map +>; + +interface AggregatedBatchProps { + timestampMillis: number; + aggregationWidthMillis: number; + metric: string; + positions: MetricPositions; +} + +export class AggregatedBatch { + private readonly timestampMillis: number; + private readonly aggregationWidthMillis: number; + private readonly metric: string; + private readonly positions: MetricPositions; + constructor(props: AggregatedBatchProps) { + this.timestampMillis = props.timestampMillis; + this.metric = props.metric; + this.aggregationWidthMillis = props.aggregationWidthMillis; + this.positions = props.positions; + } + + asOtlpScopeMetrics(): ScopeMetrics { + return new ScopeMetrics({ + scope: library, + metrics: this.asGoofyOtlpMetricSequence(), + }); + } + + private asGoofyOtlpMetricSequence(): Metric[] { + const metricsWeCareAbout: Metric[] = []; + this.positions.forEach((measurements, metricPositions) => { + const otlpDimensions = Array.from(metricPositions).map(dimension => { + return dimension.asOtlpKeyValue(); + }); + measurements.forEach((aggregation, measurementName) => { + if (aggregation instanceof Histogram) { + metricsWeCareAbout.push( + new Metric({ + name: `${this.metric}_${measurementName}`, + unit: '1', + histogram: aggregation.asOtlpHistogram({ + dimensions: otlpDimensions, + aggregationWidthMillis: this.aggregationWidthMillis, + timestampMillis: this.timestampMillis, + }), + }) + ); + } else if (aggregation instanceof StatisticSet) { + metricsWeCareAbout.push( + ...aggregation.toOtlp({ + metric: this.metric, + measurementName: measurementName, + aggregationWidthMillis: this.aggregationWidthMillis, + timestampMillis: this.timestampMillis, + dimensions: otlpDimensions, + }) + ); + } + }); + }); + + return metricsWeCareAbout; + } +} diff --git a/src/goodmetrics/pipeline/batcher.ts b/src/goodmetrics/pipeline/batcher.ts new file mode 100644 index 0000000..d356b2f --- /dev/null +++ b/src/goodmetrics/pipeline/batcher.ts @@ -0,0 +1,43 @@ +import {MetricsPipeline} from './metricsPipeline'; + +interface Props { + upstream: MetricsPipeline; + batchSize?: number; + batchAgeSeconds?: number; +} + +export class Batcher implements MetricsPipeline { + private readonly upstream: MetricsPipeline; + private readonly batchSize: number; + private readonly batchAgeMillis: number; + constructor(props: Props) { + this.upstream = props.upstream; + this.batchSize = props.batchSize ?? 1000; + this.batchAgeMillis = props.batchAgeSeconds + ? props.batchAgeSeconds * 1000 + : 10 * 1000; + } + + *consume(): Generator { + let walkingBuffer: TUpstream[] = []; + const currentBatchDeadline = Date.now() + this.batchAgeMillis; + while (true) { + if ( + Date.now() > currentBatchDeadline || + walkingBuffer.length > this.batchSize + ) { + yield walkingBuffer; + walkingBuffer = []; + } + for (const metric of this.upstream.consume()) { + walkingBuffer.push(metric); + if ( + Date.now() > currentBatchDeadline || + walkingBuffer.length > this.batchSize + ) { + break; + } + } + } + } +} diff --git a/src/goodmetrics/pipeline/metricsPipeline.ts b/src/goodmetrics/pipeline/metricsPipeline.ts new file mode 100644 index 0000000..afef8d3 --- /dev/null +++ b/src/goodmetrics/pipeline/metricsPipeline.ts @@ -0,0 +1,3 @@ +export interface MetricsPipeline { + consume(): Generator; +} diff --git a/src/goodmetrics/pipeline/metricsSink.ts b/src/goodmetrics/pipeline/metricsSink.ts new file mode 100644 index 0000000..2432f4e --- /dev/null +++ b/src/goodmetrics/pipeline/metricsSink.ts @@ -0,0 +1,5 @@ +import {_Metrics} from '../_Metrics'; + +export interface MetricsSink { + emit(metrics: _Metrics): Promise; +} diff --git a/src/goodmetrics/pipeline/synchronizingBuffer.ts b/src/goodmetrics/pipeline/synchronizingBuffer.ts new file mode 100644 index 0000000..938507b --- /dev/null +++ b/src/goodmetrics/pipeline/synchronizingBuffer.ts @@ -0,0 +1,26 @@ +import {MetricsPipeline} from './metricsPipeline'; +import {_Metrics} from '../_Metrics'; +import {MetricsSink} from './metricsSink'; + +export class SynchronizingBuffer + implements MetricsPipeline<_Metrics>, MetricsSink +{ + private metricsQueue: _Metrics[] = []; + + private *generatorFunc() { + for (const metric of this.metricsQueue) { + yield metric; + } + } + *consume(): Generator<_Metrics, void, void> { + const iterable = {[Symbol.iterator]: () => this.generatorFunc()}; + for (const element of iterable) { + yield element; + } + } + + emit(metrics: _Metrics): Promise { + this.metricsQueue.push(metrics); + return Promise.resolve(undefined); + } +} diff --git a/src/index.ts b/src/index.ts new file mode 100644 index 0000000..4e186af --- /dev/null +++ b/src/index.ts @@ -0,0 +1,22 @@ +import { + OpenTelemetryClient, + SecurityMode, +} from './goodmetrics/downstream/openTelemetryClient'; +import {Dimension} from './goodmetrics/_Metrics'; +import {MetricsSink} from './goodmetrics/pipeline/metricsSink'; +import { + MetricsFactory, + TotaltimeType, + TimestampAt, +} from './goodmetrics/metricsFactory'; +import {MetricsSetups} from './goodmetrics/metricsSetups'; +export { + OpenTelemetryClient, + Dimension, + SecurityMode, + MetricsSink, + MetricsFactory, + TotaltimeType, + TimestampAt, + MetricsSetups, +}; diff --git a/tsconfig.json b/tsconfig.json new file mode 100644 index 0000000..dc7b97b --- /dev/null +++ b/tsconfig.json @@ -0,0 +1,29 @@ +{ + "compilerOptions": { + "target": "ES2021", + "module": "commonjs", + "lib": ["es2021", "dom", "dom.iterable"], + "declaration": true, + "strict": true, + "noImplicitAny": true, + "strictNullChecks": true, + "noImplicitThis": true, + "alwaysStrict": true, + "noUnusedLocals": false, + "noUnusedParameters": false, + "noImplicitReturns": true, + "noFallthroughCasesInSwitch": false, + "inlineSourceMap": true, + "inlineSources": true, + "experimentalDecorators": true, + "strictPropertyInitialization": false, + "typeRoots": ["node_modules/@types"], + "outDir": "dist" + }, + "include": [ + "src" + ], + "exclude": [ + "dist" + ] + }