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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 |
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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: `${prefix}/admin/debug/openai`, | ||
}; | ||
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export class AdminDebugAPI extends BaseAPI { | ||
async debugOpenAI(fileObject: Blob | File | undefined = undefined, fileName = "") { | ||
let formData: FormData | null = null; | ||
if (fileObject) { | ||
formData = new FormData(); | ||
formData.append("image", fileObject); | ||
formData.append("extension", fileName.split(".").pop() ?? ""); | ||
} | ||
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return await this.requests.post<DebugResponse>(routes.openai, formData); | ||
} | ||
} |
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Original file line number | Diff line number | Diff line change |
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<template> | ||
<v-container class="pa-0"> | ||
<v-container> | ||
<BaseCardSectionTitle :title="$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 |
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import os | ||
import shutil | ||
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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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@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}"') | ||
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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 |
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from mealie.schema._mealie import MealieModel | ||
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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 |
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You are a simple chatbot being used for debugging purposes. |
Oops, something went wrong.