iot-backend/software/flow/node_modules/influx/lib/src/results.js

134 lines
4.5 KiB
JavaScript

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.parseSingle = exports.parse = exports.assertNoErrors = exports.ResultError = void 0;
const grammar_1 = require("./grammar");
/**
* A ResultError is thrown when a query generates errorful results from Influx.
*/
class ResultError extends Error {
constructor(message) {
super();
this.message = `Error from InfluxDB: ${message}`;
}
}
exports.ResultError = ResultError;
function groupMethod(matcher) {
// We do a tiny bit of 'custom' deep equality checking here, taking
// advantage of the fact that the tag keys are consistent across all
// series results. This lets us match groupings much more efficiently,
// ~6000x faster than the fastest vanilla equality checker (lodash)
// when operating on large (~100,000 grouping) sets.
const srcKeys = this.groupsTagsKeys;
const dstKeys = Object.keys(matcher);
if (srcKeys.length === 0 || srcKeys.length !== dstKeys.length) {
return [];
}
L: for (let row of this.groupRows) {
// eslint-disable-line no-labels
for (let src of srcKeys) {
if (row.tags[src] !== matcher[src]) {
continue L; // eslint-disable-line no-labels
}
}
return row.rows;
}
return [];
}
function groupsMethod() {
return this.groupRows;
}
/**
* Inner parsing function which unpacks the series into a table and attaches
* methods to the array. This is quite optimized and a bit of a mess to read,
* but it's all fairly easy procedural logic.
*
* We do this instead of subclassing Array since subclassing has some
* undesirable side-effects. For example, calling .slice() on the array
* makes it impossible to preserve groups as would be necessary if it's
* subclassed.
*/
function parseInner(series = [], precision) {
const results = [];
results.groupsTagsKeys =
series.length && series[0].tags ? Object.keys(series[0].tags) : [];
const tags = results.groupsTagsKeys;
let nextGroup = [];
results.groupRows = new Array(series.length); // Tslint:disable-line
for (let i = 0; i < series.length; i += 1, results.length) {
const { columns = [], values = [] } = series[i];
for (let value of values) {
const obj = {};
for (let j = 0; j < columns.length; j += 1) {
if (columns[j] === "time") {
obj.time = grammar_1.isoOrTimeToDate(value[j], precision);
}
else {
obj[columns[j]] = value[j];
}
}
for (let tag of tags) {
obj[tag] = series[i].tags[tag];
}
results.push(obj);
nextGroup.push(obj);
}
results.groupRows[i] = {
name: series[i].name,
rows: nextGroup,
tags: series[i].tags || {},
};
nextGroup = [];
}
results.group = groupMethod;
results.groups = groupsMethod;
return results;
}
/**
* Checks if there are any errors in the IResponse and, if so, it throws them.
* @private
* @throws {ResultError}
*/
function assertNoErrors(res) {
for (let result of res.results) {
const { error } = result;
if (error) {
throw new ResultError(error);
}
}
return res;
}
exports.assertNoErrors = assertNoErrors;
/**
* From parses out a response to a result or list of responses.
* There are three situations we cover here:
* 1. A single query without groups, like `select * from myseries`
* 2. A single query with groups, generated with a `group by` statement
* which groups by series *tags*, grouping by times is case (1)
* 3. Multiple queries of types 1 and 2
* @private
*/
function parse(res, precision) {
assertNoErrors(res);
if (res.results.length === 1) {
// Normalize case 3
return parseInner(res.results[0].series, precision);
}
return res.results.map((result) => parseInner(result.series, precision));
}
exports.parse = parse;
/**
* ParseSingle asserts that the response contains a single result,
* and returns that result.
* @throws {Error} if the number of results is not exactly one
* @private
*/
function parseSingle(res, precision) {
assertNoErrors(res);
if (res.results.length !== 1) {
throw new Error("node-influx expected the results length to equal 1, but " +
`it was ${0}. Please report this here: https://git.io/influx-err`);
}
return parseInner(res.results[0].series, precision);
}
exports.parseSingle = parseSingle;