test(Telegram Trigger Node): Add tests for Telegram Trigger (no-changelog) (#14537)

packages/nodes-base/nodes/Telegram/util/triggerUtils.ts

@@ -0,0 +1,95 @@
+import {
+	type ICredentialDataDecryptedObject,
+	type IDataObject,
+	type IWebhookFunctions,
+	type IWebhookResponseData,
+} from 'n8n-workflow';
+
+import { apiRequest, getImageBySize } from '../GenericFunctions';
+import { type IEvent } from '../IEvent';
+
+export const downloadFile = async (
+	webhookFunctions: IWebhookFunctions,
+	credentials: ICredentialDataDecryptedObject,
+	bodyData: IEvent,
+	additionalFields: IDataObject,
+): Promise<IWebhookResponseData> => {
+	let imageSize = 'large';
+
+	let key: 'message' | 'channel_post' = 'message';
+
+	if (bodyData.channel_post) {
+		key = 'channel_post';
+	}
+
+	if (
+		(bodyData[key]?.photo && Array.isArray(bodyData[key]?.photo)) ||
+		bodyData[key]?.document ||
+		bodyData[key]?.video
+	) {
+		if (additionalFields.imageSize) {
+			imageSize = additionalFields.imageSize as string;
+		}
+
+		let fileId;
+
+		if (bodyData[key]?.photo) {
+			let image = getImageBySize(bodyData[key]?.photo as IDataObject[], imageSize) as IDataObject;
+
+			// When the image is sent from the desktop app telegram does not resize the image
+			// So return the only image available
+			// Basically the Image Size parameter would work just when the images comes from the mobile app
+			if (image === undefined) {
+				image = bodyData[key]!.photo![0];
+			}
+
+			fileId = image.file_id;
+		} else if (bodyData[key]?.video) {
+			fileId = bodyData[key]?.video?.file_id;
+		} else {
+			fileId = bodyData[key]?.document?.file_id;
+		}
+
+		const {
+			result: { file_path },
+		} = await apiRequest.call(webhookFunctions, 'GET', `getFile?file_id=${fileId}`, {});
+
+		const file = await apiRequest.call(
+			webhookFunctions,
+			'GET',
+			'',
+			{},
+			{},
+			{
+				json: false,
+				encoding: null,
+				uri: `${credentials.baseUrl}/file/bot${credentials.accessToken}/${file_path}`,
+				resolveWithFullResponse: true,
+			},
+		);
+
+		const data = Buffer.from(file.body as string);
+
+		const fileName = file_path.split('/').pop();
+
+		const binaryData = await webhookFunctions.helpers.prepareBinaryData(
+			data as unknown as Buffer,
+			fileName as string,
+		);
+
+		return {
+			workflowData: [
+				[
+					{
+						json: bodyData as unknown as IDataObject,
+						binary: {
+							data: binaryData,
+						},
+					},
+				],
+			],
+		};
+	}
+
+	return {};
+};