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feat: OpenAI Custom Headers/Params and Debug Page (mealie-recipes#4227)
Co-authored-by: Kuchenpirat <[email protected]>
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,21 @@ | ||
| import { BaseAPI } from "../base/base-clients"; | ||
| import { DebugResponse } from "~/lib/api/types/admin"; | ||
|
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| const prefix = "/api"; | ||
|
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| const routes = { | ||
| openai: `${prefix}/admin/debug/openai`, | ||
| }; | ||
|
|
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| export class AdminDebugAPI extends BaseAPI { | ||
| async debugOpenAI(fileObject: Blob | File | undefined = undefined, fileName = "") { | ||
| let formData: FormData | null = null; | ||
| if (fileObject) { | ||
| formData = new FormData(); | ||
| formData.append("image", fileObject); | ||
| formData.append("extension", fileName.split(".").pop() ?? ""); | ||
| } | ||
|
|
||
| return await this.requests.post<DebugResponse>(routes.openai, formData); | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,127 @@ | ||
| <template> | ||
| <v-container class="pa-0"> | ||
| <v-container> | ||
| <BaseCardSectionTitle :title="$tc('admin.debug-openai-services')"> | ||
| {{ $t('admin.debug-openai-services-description') }} | ||
| <br /> | ||
| <DocLink class="mt-2" link="/documentation/getting-started/installation/open-ai" /> | ||
| </BaseCardSectionTitle> | ||
| </v-container> | ||
| <v-form ref="uploadForm" @submit.prevent="testOpenAI"> | ||
| <div> | ||
| <v-card-text> | ||
| <v-container class="pa-0"> | ||
| <v-row> | ||
| <v-col cols="auto" align-self="center"> | ||
| <AppButtonUpload | ||
| v-if="!uploadedImage" | ||
| class="ml-auto" | ||
| url="none" | ||
| file-name="image" | ||
| accept="image/*" | ||
| :text="$i18n.tc('recipe.upload-image')" | ||
| :text-btn="false" | ||
| :post="false" | ||
| @uploaded="uploadImage" | ||
| /> | ||
| <v-btn | ||
| v-if="!!uploadedImage" | ||
| color="error" | ||
| @click="clearImage" | ||
| > | ||
| <v-icon left>{{ $globals.icons.close }}</v-icon> | ||
| {{ $i18n.tc("recipe.remove-image") }} | ||
| </v-btn> | ||
| </v-col> | ||
| <v-spacer /> | ||
| </v-row> | ||
| <v-row v-if="uploadedImage && uploadedImagePreviewUrl" style="max-width: 25%;"> | ||
| <v-spacer /> | ||
| <v-col cols="12"> | ||
| <v-img :src="uploadedImagePreviewUrl" /> | ||
| </v-col> | ||
| <v-spacer /> | ||
| </v-row> | ||
| </v-container> | ||
| </v-card-text> | ||
| <v-card-actions> | ||
| <BaseButton | ||
| type="submit" | ||
| :text="$i18n.tc('admin.run-test')" | ||
| :icon="$globals.icons.check" | ||
| :loading="loading" | ||
| class="ml-auto" | ||
| /> | ||
| </v-card-actions> | ||
| </div> | ||
| </v-form> | ||
| <v-divider v-if="response" class="mt-4" /> | ||
| <v-container v-if="response" class="ma-0 pa-0"> | ||
| <v-card-title> {{ $t('admin.test-results') }} </v-card-title> | ||
| <v-card-text> {{ response }} </v-card-text> | ||
| </v-container> | ||
| </v-container> | ||
| </template> | ||
|
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| <script lang="ts"> | ||
| import { defineComponent, ref } from "@nuxtjs/composition-api"; | ||
| import { useAdminApi } from "~/composables/api"; | ||
| import { alert } from "~/composables/use-toast"; | ||
| import { VForm } from "~/types/vuetify"; | ||
| export default defineComponent({ | ||
| layout: "admin", | ||
| setup() { | ||
| const api = useAdminApi(); | ||
| const loading = ref(false); | ||
| const response = ref(""); | ||
| const uploadForm = ref<VForm | null>(null); | ||
| const uploadedImage = ref<Blob | File>(); | ||
| const uploadedImageName = ref<string>(""); | ||
| const uploadedImagePreviewUrl = ref<string>(); | ||
| function uploadImage(fileObject: File) { | ||
| uploadedImage.value = fileObject; | ||
| uploadedImageName.value = fileObject.name; | ||
| uploadedImagePreviewUrl.value = URL.createObjectURL(fileObject); | ||
| } | ||
| function clearImage() { | ||
| uploadedImage.value = undefined; | ||
| uploadedImageName.value = ""; | ||
| uploadedImagePreviewUrl.value = undefined; | ||
| } | ||
| async function testOpenAI() { | ||
| response.value = ""; | ||
| loading.value = true; | ||
| const { data } = await api.debug.debugOpenAI(uploadedImage.value); | ||
| loading.value = false; | ||
| if (!data) { | ||
| alert.error("Unable to test OpenAI services"); | ||
| } else { | ||
| response.value = data.response || (data.success ? "Test Successful" : "Test Failed"); | ||
| } | ||
| } | ||
| return { | ||
| loading, | ||
| response, | ||
| uploadForm, | ||
| uploadedImage, | ||
| uploadedImagePreviewUrl, | ||
| uploadImage, | ||
| clearImage, | ||
| testOpenAI, | ||
| }; | ||
| }, | ||
| head() { | ||
| return { | ||
| title: this.$t("admin.debug-openai-services"), | ||
| }; | ||
| }, | ||
| }); | ||
| </script> |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,52 @@ | ||
| import os | ||
| import shutil | ||
|
|
||
| from fastapi import APIRouter, File, UploadFile | ||
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| from mealie.core.dependencies.dependencies import get_temporary_path | ||
| from mealie.routes._base import BaseAdminController, controller | ||
| from mealie.schema.admin.debug import DebugResponse | ||
| from mealie.services.openai import OpenAILocalImage, OpenAIService | ||
|
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| router = APIRouter(prefix="/debug") | ||
|
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|
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| @controller(router) | ||
| class AdminDebugController(BaseAdminController): | ||
| @router.post("/openai", response_model=DebugResponse) | ||
| async def debug_openai(self, image: UploadFile | None = File(None)): | ||
| if not self.settings.OPENAI_ENABLED: | ||
| return DebugResponse(success=False, response="OpenAI is not enabled") | ||
| if image and not self.settings.OPENAI_ENABLE_IMAGE_SERVICES: | ||
| return DebugResponse( | ||
| success=False, response="Image was provided, but OpenAI image services are not enabled" | ||
| ) | ||
|
|
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| with get_temporary_path() as temp_path: | ||
| if image: | ||
| with temp_path.joinpath(image.filename).open("wb") as buffer: | ||
| shutil.copyfileobj(image.file, buffer) | ||
| local_image_path = temp_path.joinpath(image.filename) | ||
| local_images = [OpenAILocalImage(filename=os.path.basename(local_image_path), path=local_image_path)] | ||
| else: | ||
| local_images = None | ||
|
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| try: | ||
| openai_service = OpenAIService() | ||
| prompt = openai_service.get_prompt("debug") | ||
|
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| message = "Hello, checking to see if I can reach you." | ||
| if local_images: | ||
| message = f"{message} Here is an image to test with:" | ||
|
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| response = await openai_service.get_response( | ||
| prompt, message, images=local_images, force_json_response=False | ||
| ) | ||
| return DebugResponse(success=True, response=f'OpenAI is working. Response: "{response}"') | ||
|
|
||
| except Exception as e: | ||
| self.logger.exception(e) | ||
| return DebugResponse( | ||
| success=False, | ||
| response=f'OpenAI request failed. Full error has been logged. {e.__class__.__name__}: "{e}"', | ||
| ) |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,6 @@ | ||
| from mealie.schema._mealie import MealieModel | ||
|
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|
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| class DebugResponse(MealieModel): | ||
| success: bool | ||
| response: str | None = None |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1 @@ | ||
| You are a simple chatbot being used for debugging purposes. |
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