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<10"},"license":"Apache-2.0","types":"./lib/signalfx.d.ts","gitHead":"9c706c9504500d4ea917240eeeae715136e378a6","bugs":{"url":"https://github.com/signalfx/signalfx-nodejs/issues"},"_id":"signalfx@8.0.1","_nodeVersion":"16.13.2","_npmVersion":"8.1.2","dist":{"integrity":"sha512-kGbdDagEdQHXtS7DnleurgKWt7NZ0Y3x2sNg49Ywu1//JNstoq6uftAaUxwdnx8fRZ3WVZb+AIe/+Cn/rjnyyA==","shasum":"b92e4afd950a0a21f2a3d52a3f78acbbcc2609cc","tarball":"https://registry.npmjs.org/signalfx/-/signalfx-8.0.1.tgz","fileCount":24,"unpackedSize":322447,"signatures":[{"keyid":"SHA256:jl3bwswu80PjjokCgh0o2w5c2U4LhQAE57gj9cz1kzA","sig":"MEQCIFaiyUgbKO9SUQk4ky5qEhaa+IioXdzC8vhYKscipmXYAiBNjlc0jaG/BqXegdn6gftY/zS0dX61Fhwi9yqn43yvIQ=="}]},"_npmUser":{"name":"signalfx","email":"ssg-observability-signalfx-publishers@splunk.com"},"directories":{},"maintainers":[{"name":"signalfx","email":"ssg-observability-signalfx-publishers@splunk.com"}],"_npmOperationalInternal":{"host":"s3://npm-registry-packages","tmp":"tmp/signalfx_8.0.1_1710335474541_0.49505396541584124"},"_hasShrinkwrap":false}},"readme":"> ℹ️  SignalFx was acquired by Splunk in October 2019. See [Splunk SignalFx](https://www.splunk.com/en_us/investor-relations/acquisitions/signalfx.html) for more information.\n\n

\n \n \"GitHub\n \n \"GitHub\n \"npm\"\n \"node-current\"\n

\n\n# Node.js client library for SignalFx\n\nThis is a programmatic interface in JavaScript for SignalFx's metadata and\ningest APIs. It is meant to provide a base for communicating with\nSignalFx APIs that can be easily leveraged by scripts and applications\nto interact with SignalFx or report metric and event data to SignalFx.\n\n## Installation\n\nTo install using npm:\n\n```sh\n$ npm install signalfx\n```\n\n### Supported Node.js versions\n\n| Version | Node.js |\n| ------- | --------------- |\n| `8.x.x` | `>=12.10.0 <=20` |\n| `7.4.x` | `>=8.0.0 <18` |\n| `7.3.1` | `>=8.0.0 <11` |\n\n## Usage\n\n### API access token\n\nTo use this library, you need a SignalFx access token. When using the ingest client\nyou will need to specify your organization's access token. For the SignalFlow Client,\neither an organization access token or a user API token may be used. For\nmore information on access tokens, see the API's [Authentication documentation](https://dev.splunk.com/observability/docs/apibasics/authentication_basics/).\n\n### Create client\n\nThere are two ways to create an ingest client object:\n\n- The default constructor `Ingest`. This constructor uses Protobuf to send data to SignalFx. If it cannot send Protobuf, it falls back to sending JSON.\n- The JSON constructor `IngestJson`. This constructor uses JSON format to send data to SignalFx.\n\n```js\nvar signalfx = require(\"signalfx\");\n\n// Create default client\nvar client = new signalfx.Ingest(\"ORG_TOKEN\", { options });\n// or create JSON client\nvar clientJson = new signalfx.IngestJson(\"ORG_TOKEN\", { options });\n```\n\nObject `options` is an optional map and may contains following fields:\n\n- **enableAmazonUniqueId** - boolean, `false` by default. If `true`, library will retrieve Amazon unique identifier and set it as `AWSUniqueId` dimension for each datapoint and event. Use this option only if your application deployed to Amazon\n- **dimensions** - object, pre-defined dimensions for each datapoint and event. This object has key-value format `{ dimension_name: dimension_value, ...}`\n- **ingestEndpoint** - string, custom url to send datapoints in format http://custom.domain/api/path\n- **timeout** - number, sending datapoints timeout in ms (default is 5000ms)\n- **batchSize** - number, batch size to group sending datapoints\n- **userAgents** - array of strings, items from this array will be added to 'user-agent' header separated by comma\n- **proxy** - object, defines an address and credentials for sending metrics through a proxy server, it has the following format:\n ```javascript\n {\n protocol: 'http(s)',\n host: '127.0.0.1',\n port: 1234,\n auth: {\n username: '',\n password: ''\n }\n },\n ```\n\n#### Configuring the ingest endpoint\n\nIf the ingestEndpoint is not set manually, this library uses the `us0` realm by default.\nIf you are not in this realm, you will need to explicitly set the\nendpoint urls above. To determine if you are in a different realm and need to\nexplicitly set the endpoints, check your profile page in the SignalFx\nweb application.\n\n### Reporting data\n\nThis example shows how to report metrics to SignalFx, as gauges, counters, or cumulative counters.\n\n```js\nvar signalfx = require('signalfx');\n\nvar client = new signalfx.Ingest('ORG_TOKEN');\n\nclient.send({\n cumulative_counters:[\n { metric: 'myfunc.calls_cumulative',\n value: 10,\n timestamp: 1442960607000},\n ...\n ],\n gauges:[\n { metric: 'myfunc.time',\n value: 532,\n timestamp: 1442960607000},\n ...\n ],\n counters:[\n { metric: 'myfunc.calls',\n value: 42,\n timestamp: 1442960607000},\n ...\n ]});\n```\n\nThe `timestamp` must be a millisecond precision timestamp; the number of milliseconds elapsed since Epoch. The `timestamp` field is optional, but strongly recommended. If not specified, it will be set by SignalFx's ingest servers automatically; in this situation, the timestamp of your datapoints will not accurately represent the time of their measurement (network latency, batching, etc. will all impact when those datapoints actually make it to SignalFx).\n\n### Sending multi-dimensional data\n\nReporting dimensions for the data is also optional, and can be accomplished by specifying a `dimensions` parameter on each datapoint containing a dictionary of string to string key/value pairs representing the dimensions:\n\n```js\nvar signalfx = require('signalfx');\n\nvar client = new signalfx.Ingest('ORG_TOKEN');\n\nclient.send({\n cumulative_counters:[\n { 'metric': 'myfunc.calls_cumulative',\n 'value': 10,\n 'dimensions': {'host': 'server1', 'host_ip': '1.2.3.4'}},\n ...\n ],\n gauges:[\n { 'metric': 'myfunc.time',\n 'value': 532,\n 'dimensions': {'host': 'server1', 'host_ip': '1.2.3.4'}},\n ...\n ],\n counters:[\n { 'metric': 'myfunc.calls',\n 'value': 42,\n 'dimensions': {'host': 'server1', 'host_ip': '1.2.3.4'}},\n ...\n ]});\n```\n\n### Sending events\n\nEvents can be send to SignalFx via the `sendEvent` function. The\nevent param objects must be specified. `Event` param object is an optional map and may contains following fields:\n\n- **eventType** (string) - Required field. The event type (name of the event time series).\n- **category** (int) - the category of event. Choose one from EVENT_CATEGORIES list.\n Different categories of events are supported.Available categories of events are `USER_DEFINED`, `ALERT`, `AUDIT`, `JOB`,\n `COLLECTD`, `SERVICE_DISCOVERY`, `EXCEPTION`. For mode details see\n `proto/signal_fx_protocol_buffers.proto` file. Value by default is `USER_DEFINED`\n- **dimensions** (dict) - a map of event dimensions, empty dictionary by default\n- **properties** (dict) - a map of extra properties on that event, empty dictionary by default\n- **timestamp** (int64) - a timestamp, by default is current time\n Also please specify event category: for that get\n option from dictionary `client.EVENT_CATEGORIES`.\n\n```js\nvar signalfx = require(\"signalfx\");\n\nvar client = new signalfx.Ingest(\"ORG_TOKEN\");\n\nclient.sendEvent({\n category: \"[event_category]\",\n eventType: \"[event_type]\",\n dimensions: {\n host: \"myhost\",\n service: \"myservice\",\n instance: \"myinstance\",\n },\n properties: {\n version: \"event_version\",\n },\n timestamp: timestamp,\n});\n```\n\n## Examples\n\nComplete code example for Reporting data\n\n```js\nvar signalfx = require(\"signalfx\");\n\nvar myToken = \"ORG_TOKEN\";\n\nvar client = new signalfx.Ingest(myToken);\nvar gauges = [\n {\n metric: \"test.cpu\",\n value: 10,\n },\n];\n\nvar counters = [\n {\n metric: \"cpu_cnt\",\n value: 2,\n },\n];\n\nclient.send({ gauges: gauges, counters: counters });\n```\n\nComplete code example for Sending events\n\n```js\nvar signalfx = require(\"signalfx\");\n\nvar myToken = \"[ORG_TOKEN]\";\n\nvar client = new signalfx.Ingest(myToken);\n\nvar eventCategory = client.EVENT_CATEGORIES.USER_DEFINED;\nvar eventType = \"deployment\";\nvar dimensions = {\n host: \"myhost\",\n service: \"myservice\",\n instance: \"myinstance\",\n};\nvar properties = { version: \"[EVENT-VERSION]\" };\n\nclient.sendEvent({\n category: eventCategory,\n eventType: eventType,\n dimensions: dimensions,\n properties: properties,\n});\n```\n\nSee `example/general_usage.js` for a complete code example for Reporting data.\nSet your SignalFx token and run example\n\n```sh\n$ SPLUNK_ACCESS_TOKEN=xxx SPLUNK_REALM=xxx node example/general_usage.js\n```\n\n### Log level\n\nThe default log level is `info`.\nYou can override it by setting `SFX_CLIENT_LOG_LEVEL` environment variable. Valid values are winston log levels: `error`, `warn`, `info`, `http`, `verbose`, `debug` and `silly`.\n\n## SignalFlow API\n\nSignalFlow is SignalFx's real-time analytics computation language. The\nSignalFlow API allows SignalFx users to execute real-time streaming analytics\ncomputations on the SignalFx platform. For more information, head over to our\nDevelopers documentation:\n\n- [SignalFlow Overview](https://developers.signalfx.com/signalflow_analytics/signalflow_overview.html)\n- [SignalFlow API Reference](https://developers.signalfx.com/signalflow_reference.html)\n\n### API access token\n\nThe SignalFlow cilent accepts either an Organization Access Token or a User API Token.\nFor more information on access tokens, see the API's [Authentication Documentation](https://dev.splunk.com/observability/docs/apibasics/authentication_basics/).\n\n### SignalFlow\n\n#### Configuring the Signalflow websocket endpoint\n\nIf the websocket endpoint is not set manually, this library uses the `us0` realm by default.\nIf you are not in this realm, you will need to explicitly set the\nendpoint urls above. To determine if you are in a different realm and need to\nexplicitly set the endpoints, check your profile page in the SignalFx\nweb application.\n\n#### Examples\n\nComplete code example for executing a computation\n\n```js\nvar signalfx = require('signalfx');\n\nvar wsCallback = function(evt) {\n console.log('Hello, I'm a custom callback: ' + evt);\n}\n\nvar myToken = '[ACCESS_TOKEN]';\nvar options = {'signalflowEndpoint': 'wss://stream.{REALM}.signalfx.com',\n 'apiEndpoint': 'https://api.{REALM}.signalfx.com',\n 'webSocketErrorCallback': wsCallback\n };\n\nvar client = new signalfx.SignalFlow(myToken, options);\n\nvar handle = client.execute({\n program: \"data('cpu.utilization').mean().publish()\",\n start: Date.now() - 60000,\n stop: Date.now() + 60000,\n resolution: 10000,\n immediate: false});\n\nhandle.stream(function(err, data) { console.log(data); });\n```\n\nObject `options` is an optional map and may contains following fields:\n\n- **signalflowEndpoint** - string, `wss://stream.us0.signalfx.com` by default. Override this if you are in a different realm than `us0`.\n- **apiEndpoint** - string, `https://api.us0.signalfx.com` by default. Override this if you are in a different realm than `us0`.\n- **webSocketErrorCallback** - function, Throws an Error event by default. Override this if you want to handle a websocket error differently.\n\n**Note**: A token created via the REST API is necessary to use this API. API Access tokens intended for ingest are not allowed.\n\n#### API Options\n\nParameters to the execute method are as follows :\n\n- **program** (string) - Required field. The signalflow to be run.\n- **start** (int | string) - A milliseconds since epoch number or a string representing a relative time : e.g. -1h. Defaults to now.\n- **stop** (int | string) - A milliseconds since epoch number or a string representing a relative time : e.g. -30m. Defaults to infinity.\n- **resolution** (int) - The interval across which to calculate, in 1000 millisecond intervals. Defaults to 1000.\n- **maxDelay** (int) - The maximum time to wait for a datapoint to arrive, in 10000 millisecond intervals. Defaults to dynamic.\n- **bigNumber** (boolean) - True if returned values require precision beyond MAX_SAFE_INTEGER. Returns all values in data messages as bignumber objects as per https://www.npmjs.com/package/bignumber.js Defaults to false.\n- **immediate** (boolean) - Whether to adjust the stop timestamp so that the computation doesn't wait for future data to be available.\n\n#### Computation Objects\n\nThe returned object from an execute call possesses the following methods:\n\n- **stream** (function (err, data)) - accepts a function and will call the function with computation messages when available. It returns multiple types of messages, detailed below. This follows error first callback conventions, so data is returned in the second argument if no errors occurred.\n- **close** () - terminates the computation.\n- **get_known_tsids** () - gets all known timeseries ID's for the current computation\n- **get_metadata** (string) - gets the metadata message associated with the specific timeseries ID.\n\n#### Stream Message Types\n\n- Metadata\n\n```js\n{\n type : \"metadata\",\n channel : \"\",\n properties : {\n sf_key : []\n sf_metric: \n ...\n },\n tsId : \"\"\n}\n```\n\n- Data\n\n```js\n{\n type : \"data\",\n channel : \"\",\n data : [\n {\n tsId : \"\",\n value : \n },\n ...\n ],\n logicalTimestampMs : \n}\n```\n\n- Event\n\n```js\n{\n tsId : \"\",\n timestampMs: 1461353198000,\n channel: \"\",\n type: \"event\",\n properties: {\n incidentId: \"\",\n \"inputValues\" : \"{\\\"a\\\":4}\",\n was: \"ok\",\n is: \"anomalous\"\n }\n}\n```\n\nMore information about messages can be found at https://developers.signalfx.com/v2/docs/stream-messages-specification\n\n#### Usage in a Web Browser\n\nThe signalflow client can be built for usage in a browser. This is accomplished via the following commands.\n\n```\n$ npm install\n$ npm run build:browser\nThe output can be found at ./build/signalfx.js\n```\n\nIt can then be loaded as usual via a script tag\n\n```\n\n```\n\nOnce loaded, a signalfx global will be created(window.signalfx). Note that only the SignalFlow package is included in this built file.\n\n#### Browser Usage Example using D3\n\nFirst ensure your current working directory is the root of the nodejs repository clone, then do the following :\n\nMake the following changes to example/index.html\n\n```\nreplace 'ACCESS_TOKEN' with your own token.\nreplace 'cpu.utilization' with an appropriate metric as necessary.\n```\n\nExecute the following commands\n\n```\n$ npm install\n$ gulp browserify\n$ node example/server.js\n```\n\nFinally, open http://localhost:8888/example/index.html\n\n## License\n\nApache Software License v2 © [SignalFx](https://signalfx.com)\n","maintainers":[{"name":"signalfx","email":"ssg-observability-signalfx-publishers@splunk.com"}],"time":{"modified":"2024-03-13T13:11:15.138Z","created":"2015-09-08T22:37:35.839Z","0.1.0":"2015-09-08T22:37:35.839Z","1.0.0":"2015-10-22T19:47:43.515Z","2.0.0":"2016-02-08T23:31:22.483Z","2.0.3":"2016-02-09T00:11:29.533Z","2.0.4":"2016-02-09T00:14:17.811Z","3.0.0":"2016-06-02T23:37:12.697Z","3.0.1":"2016-06-17T17:21:46.913Z","4.0.0":"2016-08-01T20:38:22.694Z","4.0.21":"2017-02-22T21:18:47.662Z","5.0.0":"2017-05-03T17:17:48.289Z","6.0.0":"2018-04-16T20:38:59.507Z","6.0.1":"2018-12-12T19:38:07.544Z","7.0.1":"2019-08-21T17:15:04.402Z","7.2.0":"2020-10-08T17:12:48.996Z","7.2.2":"2020-11-13T12:08:40.424Z","7.3.0":"2021-04-10T08:55:05.808Z","7.3.1":"2021-07-13T10:08:19.261Z","7.4.0":"2021-07-19T13:35:01.965Z","7.4.1":"2021-10-28T11:22:46.777Z","7.4.2":"2022-03-15T15:53:51.322Z","7.5.0":"2022-05-24T16:52:57.348Z","8.0.0-beta.1":"2022-09-13T13:42:17.832Z","8.0.0-beta.2":"2022-09-13T14:37:13.136Z","8.0.0-beta.3":"2022-09-13T14:48:47.741Z","8.0.0-beta.4":"2022-09-19T13:55:49.705Z","8.0.0-beta.5":"2023-05-02T10:39:17.831Z","8.0.0-beta.6":"2023-10-09T17:01:25.481Z","8.0.0":"2024-02-23T10:43:30.305Z","8.0.1":"2024-03-13T13:11:14.720Z"},"homepage":"https://signalfx.com","keywords":["signalfx","nodejs"],"repository":{"type":"git","url":"git+https://github.com/signalfx/signalfx-nodejs.git"},"author":{"name":"SignalFx, Inc","email":"info@signalfx.com","url":"https://signalfx.com"},"license":"Apache-2.0","readmeFilename":"README.md","users":{"signalfx":true,"gunipati81":true},"bugs":{"url":"https://github.com/signalfx/signalfx-nodejs/issues"}}