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Merge pull request #20 from nverges/4-import-with-estimates
4 import with estimates
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,5 @@ | ||
| export const ESTIMATION_SCALES = { | ||
| exponential: [0, 1, 2, 4, 8, 16], | ||
| fibonacci: [0, 1, 2, 3, 5, 8], | ||
| linear: [0, 1, 2, 3, 4, 5], | ||
| }; |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,38 @@ | ||
| import linearClient from "../../config/client.mjs"; | ||
| import { ESTIMATION_SCALES } from "./estimation_scales.js"; | ||
|
|
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| export function findClosestEstimate(value, scale) { | ||
| if (!scale || !value) return null; | ||
|
|
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| const numericValue = Number(value); | ||
| if (isNaN(numericValue)) return null; | ||
|
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| return scale.reduce((closest, current) => { | ||
| return Math.abs(current - numericValue) < Math.abs(closest - numericValue) ? current : closest; | ||
| }); | ||
| } | ||
|
|
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| async function fetchEstimatesForTeam({ teamId }) { | ||
| if (!teamId) { | ||
| throw new Error("teamId is required"); | ||
| } | ||
|
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| try { | ||
| const team = await linearClient.team(teamId); | ||
| const issueEstimationType = await team.issueEstimationType; | ||
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| const estimationScale = ESTIMATION_SCALES[issueEstimationType] || null; | ||
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| const data = { | ||
| type: issueEstimationType, | ||
| scale: estimationScale, | ||
| }; | ||
|
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| return data; | ||
| } catch (error) { | ||
| console.error("Error fetching estimates:", error); | ||
| throw error; | ||
| } | ||
| } | ||
|
|
||
| export default fetchEstimatesForTeam; |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,42 @@ | ||
| import { ENABLE_DETAILED_LOGGING } from "../../config/config.js"; | ||
| import { ESTIMATION_SCALES } from "./estimation_scales.js"; | ||
| import chalk from "chalk"; | ||
|
|
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| export function findClosestEstimate(value, estimationScale) { | ||
| if (!estimationScale || !value) return null; | ||
|
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| const scale = ESTIMATION_SCALES[estimationScale]; | ||
| const numericValue = Number(value); | ||
|
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| if (isNaN(numericValue)) return null; | ||
|
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| if (ENABLE_DETAILED_LOGGING) { | ||
| console.log("value", value); | ||
| console.log(chalk.magenta("estimationScale"), estimationScale); | ||
| console.log(chalk.magenta("scale"), scale); | ||
| } | ||
|
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| if (scale.includes(numericValue)) { | ||
| if (ENABLE_DETAILED_LOGGING) { | ||
| console.log(chalk.magenta("exact match found:"), numericValue); | ||
| } | ||
| return numericValue; | ||
| } | ||
|
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| let closest = scale[0]; | ||
| let minDiff = Math.abs(scale[0] - numericValue); | ||
|
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| for (let i = 1; i < scale.length; i++) { | ||
| const diff = Math.abs(scale[i] - numericValue); | ||
| if (diff < minDiff) { | ||
| minDiff = diff; | ||
| closest = scale[i]; | ||
| } | ||
| } | ||
|
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| if (ENABLE_DETAILED_LOGGING) { | ||
| console.log(chalk.magenta("closest"), closest); | ||
| } | ||
|
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||
| return closest; | ||
| } |
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