50 lines
1.9 KiB
JavaScript
50 lines
1.9 KiB
JavaScript
import { dasherize } from './slugs';
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const idToTitle = new Map(
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Object.entries({
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'561add10cb82ac38a17523bc': 'APIs and Microservices',
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'5a553ca864b52e1d8bceea14': 'Data Visualization',
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'561acd10cb82ac38a17513bc': 'Front End Libraries',
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'5e611829481575a52dc59c0e': 'Quality Assurance',
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'5e6021435ac9d0ecd8b94b00': 'Information Security',
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'561abd10cb81ac38a17513bc': 'JavaScript Algorithms and Data Structures',
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'561add10cb82ac38a17513bc': 'Responsive Web Design',
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'660add10cb82ac38a17513be': 'Legacy Back End',
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'561add10cb82ac39a17513bc': 'Legacy Data Visualization',
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'561add10cb82ac38a17513be': 'Legacy Front End',
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'561add10cb82ac38a17213bc':
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'Legacy Information Security and Quality Assurance',
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'561add10cb82ac38a17213bd': 'Legacy Full Stack',
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'5e44431b903586ffb414c951': 'Scientific Computing with Python',
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'5e46fc95ac417301a38fb934': 'Data Analysis with Python',
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'5e46fc95ac417301a38fb935': 'Machine Learning with Python'
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})
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);
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const idToPath = new Map();
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// Keep the timeline slugs the same so
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// we don't break existing links
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const specialPaths = {
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'Legacy Full Stack': 'Full Stack',
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'Legacy Information Security and Quality Assurance':
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'Information Security and Quality Assurance',
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'Scientific Computing with Python': 'Scientific Computing with Python V7',
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'Data Analysis with Python': 'Data Analysis with Python V7',
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'Machine Learning with Python': 'Machine Learning with Python V7',
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'Quality Assurance': 'Quality Assurance V7',
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'Information Security': 'Information Security V7'
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};
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for (const [id, title] of idToTitle) {
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if (specialPaths[title]) {
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idToPath.set(id, dasherize(specialPaths[title]));
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} else {
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idToPath.set(id, dasherize(title));
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}
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}
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export const getCertIds = () => idToPath.keys();
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export const getPathFromID = id => idToPath.get(id);
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export const getTitleFromId = id => idToTitle.get(id);
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