tdpeuter/2025SELab2-project-Dwengo
tdpeuter/2025SELab2-project-Dwengo
1
Fork 0
Code Issues Releases 4 Packages 2 Wiki Activity

style: fix linting issues met Prettier

Browse source
This commit is contained in:
Lint Action 2025-03-13 18:41:54 +00:00
parent a4f992035e
commit bec69863b4
1 changed files with 20 additions and 23 deletions
Download patch file Download diff file Expand all files Collapse all files

43
backend/src/services/learning-paths/database-learning-path-provider.ts
View file

@ -41,11 +41,9 @@ async function getLearningObjectsForNodes(nodes: LearningPathNode[]): Promise<Ma
async function convertLearningPath(learningPath: LearningPathEntity, order: number, personalizedFor?: PersonalizationTarget): Promise<LearningPath> { async function convertLearningPath(learningPath: LearningPathEntity, order: number, personalizedFor?: PersonalizationTarget): Promise<LearningPath> {
const nodesToLearningObjects: Map<LearningPathNode, FilteredLearningObject> = await getLearningObjectsForNodes(learningPath.nodes); const nodesToLearningObjects: Map<LearningPathNode, FilteredLearningObject> = await getLearningObjectsForNodes(learningPath.nodes);
const targetAges = Array.from(nodesToLearningObjects.values()) const targetAges = Array.from(nodesToLearningObjects.values()).flatMap((it) => it.targetAges || []);
.flatMap((it) => it.targetAges || []);
const keywords = Array.from(nodesToLearningObjects.values()) const keywords = Array.from(nodesToLearningObjects.values()).flatMap((it) => it.keywords || []);
.flatMap((it) => it.keywords || []);
const image = learningPath.image ? learningPath.image.toString('base64') : undefined; const image = learningPath.image ? learningPath.image.toString('base64') : undefined;
@ -79,25 +77,24 @@ async function convertNodes(
nodesToLearningObjects: Map<LearningPathNode, FilteredLearningObject>, nodesToLearningObjects: Map<LearningPathNode, FilteredLearningObject>,
personalizedFor?: PersonalizationTarget personalizedFor?: PersonalizationTarget
): Promise<LearningObjectNode[]> { ): Promise<LearningObjectNode[]> {
const nodesPromise = Array.from(nodesToLearningObjects.entries()) const nodesPromise = Array.from(nodesToLearningObjects.entries()).map(async (entry) => {
.map(async (entry) => { const [node, learningObject] = entry;
const [node, learningObject] = entry; const lastSubmission = personalizedFor ? await getLastSubmissionForCustomizationTarget(node, personalizedFor) : null;
const lastSubmission = personalizedFor ? await getLastSubmissionForCustomizationTarget(node, personalizedFor) : null; return {
return { _id: learningObject.uuid,
_id: learningObject.uuid, language: learningObject.language,
language: learningObject.language, start_node: node.startNode,
start_node: node.startNode, created_at: node.createdAt.toISOString(),
created_at: node.createdAt.toISOString(), updatedAt: node.updatedAt.toISOString(),
updatedAt: node.updatedAt.toISOString(), learningobject_hruid: node.learningObjectHruid,
learningobject_hruid: node.learningObjectHruid, version: learningObject.version,
version: learningObject.version, transitions: node.transitions
transitions: node.transitions .filter(
.filter( (trans) => !personalizedFor || isTransitionPossible(trans, optionalJsonStringToObject(lastSubmission?.content)) // If we want a personalized learning path, remove all transitions that aren't possible.
(trans) => !personalizedFor || isTransitionPossible(trans, optionalJsonStringToObject(lastSubmission?.content)) // If we want a personalized learning path, remove all transitions that aren't possible. )
) .map((trans, i) => convertTransition(trans, i, nodesToLearningObjects)), // Then convert all the transition
.map((trans, i) => convertTransition(trans, i, nodesToLearningObjects)), // Then convert all the transition };
}; });
});
return await Promise.all(nodesPromise); return await Promise.all(nodesPromise);
} }