lint code

app/components/uses/Item.vue

@@ -1,6 +1,6 @@
 <script lang="ts" setup>
-import type { PropType } from 'vue'
 import type { UsesItem } from '#components'
+import type {PropType} from 'vue'
 
 defineProps({
   item: {

app/pages/portfolio/index.vue

@@ -7,8 +7,7 @@ useSeoMeta({
   description: t('description'),
 })
 
-const { data: writings } = await useAsyncData('all-portfolio', () =>
-    queryContent('/portfolio').sort({publishedAt: -1}).without('body').find())
+const {data: writings} = await useAsyncData('all-portfolio', () => queryContent('/portfolio').sort({publishedAt: -1}).without('body').find())
 </script>
 
 <template>

content/portfolio/what-is-machine-learning.md

@@ -99,4 +99,4 @@ With these concepts in mind, you are better equipped to understand and apply ML
 
 ## Conclusion
 
-Machine learning is revolutionising how we solve complex problems using data. Supervised, unsupervised, and reinforcement learning approaches allow us to tackle a wide variety of use cases. In supervised learning, the model choice depends on the problem type, its complexity, and the appropriate algorithmic approach. Finally, a structured workflow and metrics like the R² score ensure the quality of predictions and analyses.
+Machine learning is revolutionising how we solve complex problems using data. Supervised, unsupervised, and reinforcement learning approaches allow us to tackle a wide variety of use cases. In supervised learning, the model choice depends on the problem type, its complexity, and the appropriate algorithmic approach. Finally, a structured workflow and metrics like the R² score ensure the quality of predictions and analyses.

package.json

@@ -44,4 +44,4 @@
     "vue-tsc": "^2.1.6",
     "wrangler": "^3.78.5"
   }
-}
+}

server/api/posts/like/[slug].put.ts

@@ -4,10 +4,8 @@ export default defineEventHandler(async (event) => {
   const { slug } = await useValidatedParams(event, {
     slug: z.string(),
   })
-  return useDB().update(tables.posts)
-    .set({
-      likes: sql`${tables.posts.likes}
-      + 1`,
-    })
-    .where(eq(tables.posts.slug, slug))
+  return useDB().update(tables.posts).set({
+    likes: sql`${tables.posts.likes}
+    + 1`,
+  }).where(eq(tables.posts.slug, slug))
 })

server/database/schema.ts

@@ -1,5 +1,5 @@
-import { integer, sqliteTable, text } from 'drizzle-orm/sqlite-core'
 import { sql } from 'drizzle-orm'
+import {integer, sqliteTable, text} from 'drizzle-orm/sqlite-core'
 
 export const posts = sqliteTable('posts', {
   slug: text('slug').primaryKey(),

server/utils/db.ts

@@ -1,7 +1,7 @@
 import { drizzle } from 'drizzle-orm/d1'
 import * as schema from '../database/schema'
 
-export { sql, eq, and, or, asc, desc, sum } from 'drizzle-orm'
+export {and, asc, desc, eq, or, sql, sum} from 'drizzle-orm'
 
 export const tables = schema