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do this here maybe?

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Violet Caulfield
2025-03-23 07:42:56 -05:00
parent e828c8a72e
commit 0b61a090ea
1 changed files with 37 additions and 36 deletions
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api/queries/functions/images.ts
+37 -36
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@@ -1,49 +1,50 @@
import { BaseItemDto, ImageFormat, ImageType } from "@jellyfin/sdk/lib/generated-client/models"
import { ImageFormat, ImageType } from "@jellyfin/sdk/lib/generated-client/models"
import { getImageApi } from "@jellyfin/sdk/lib/utils/api"
import _ from "lodash"
import Client from "../../../api/client"
import { backgroundRuntime } from "../../../App"
import { runOnRuntime } from "react-native-reanimated"
import { backgroundRuntime } from "@/App";
import { runOnRuntime } from "react-native-reanimated";
export function fetchItemImage(itemId: string, imageType: ImageType, width: number, height: number) {
return runOnRuntime(backgroundRuntime, (itemId: string, imageType: ImageType, width: number, height: number) => {
return new Promise<string>(async (resolve, reject) => {
console.debug("Fetching item image");
return new Promise<string>(async (resolve, reject) => {
console.debug("Fetching item image");
if (!!!Client.api)
return reject("Client instance not set")
else
getImageApi(Client.api)
.getItemImage({
itemId,
imageType,
width: Math.ceil(width / 100) * 100 * 2, // Round to the nearest 100 for simplicity and to avoid
height: Math.ceil(height / 100) * 100 * 2, // redundant images in storage, then double it to make sure it's crispy
format: ImageFormat.Png
},
{
responseType: 'blob',
})
.then(async (response) => {
if (response.status < 300) {
return resolve(await blobToBase64(response.data))
} else {
return reject("Invalid image response");
}
}).catch((error) => {
console.error(error);
reject(error);
if (!!!Client.api)
return reject("Client instance not set")
else
getImageApi(Client.api)
.getItemImage({
itemId,
imageType,
width: Math.ceil(width / 100) * 100 * 2, // Round to the nearest 100 for simplicity and to avoid
height: Math.ceil(height / 100) * 100 * 2, // redundant images in storage, then double it to make sure it's crispy
format: ImageFormat.Png
},
{
responseType: 'blob',
})
});
})(itemId, imageType, width, height)
.then(async (response) => {
if (response.status < 300) {
return resolve(await blobToBase64(response.data))
} else {
return reject("Invalid image response");
}
}).catch((error) => {
console.error(error);
reject(error);
})
});
}
function blobToBase64(blob : Blob) {
return new Promise<string>((resolve, _) => {
const reader = new FileReader();
reader.onloadend = () => resolve(reader.result as string);
reader.readAsDataURL(blob);
runOnRuntime(backgroundRuntime, (blob : Blob) => {
const reader = new FileReader();
reader.onloadend = () => resolve(reader.result as string);
reader.readAsDataURL(blob);
})(blob)
});
}