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chore(ui): lint

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This commit is contained in:
psychedelicious 2024-02-27 15:36:00 +11:00
parent aaeef03593
commit 80065858ed
15 changed files with 25 additions and 20 deletions
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1
invokeai/frontend/web/public/locales/en.json
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@ -674,6 +674,7 @@
"noMetaData": "No metadata found",
"noRecallParameters": "No parameters to recall found",
"parameterSet": "Parameter {{parameter}} set",
"parsingFailed": "Parsing Failed",
"perlin": "Perlin Noise",
"positivePrompt": "Positive Prompt",
"recallParameters": "Recall Parameters",

2
invokeai/frontend/web/src/common/hooks/useModelCustomSelect.ts
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@ -1,6 +1,6 @@
import type { Item } from '@invoke-ai/ui-library';
import type { EntityState } from '@reduxjs/toolkit';
import { EMPTY_ARRAY } from "app/store/constants";
import { EMPTY_ARRAY } from 'app/store/constants';
import type { ModelIdentifierWithBase } from 'features/nodes/types/common';
import { MODEL_TYPE_SHORT_MAP } from 'features/parameters/types/constants';
import { filter } from 'lodash-es';

2
invokeai/frontend/web/src/features/canvas/store/canvasTypes.ts
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@ -10,8 +10,6 @@ export const LAYER_NAMES_DICT: { label: string; value: CanvasLayer }[] = [
{ label: 'Mask', value: 'mask' },
];
const LAYER_NAMES = ['base', 'mask'] as const;
const zBoundingBoxScaleMethod = z.enum(['none', 'auto', 'manual']);
export type BoundingBoxScaleMethod = z.infer<typeof zBoundingBoxScaleMethod>;
export const isBoundingBoxScaleMethod = (v: unknown): v is BoundingBoxScaleMethod =>

2
invokeai/frontend/web/src/features/gallery/hooks/useImageActions.ts
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@ -58,5 +58,5 @@ export const useImageActions = (image_name?: string) => {
parseAndRecallPrompts(metadata);
}, [metadata]);
return { recallAll, remix, recallSeed, recallPrompts , hasMetadata, hasSeed, hasPrompts, isLoadingMetadata };
return { recallAll, remix, recallSeed, recallPrompts, hasMetadata, hasSeed, hasPrompts, isLoadingMetadata };
};

2
invokeai/frontend/web/src/features/metadata/components/MetadataT2IAdapters.tsx
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@ -53,7 +53,7 @@ const MetadataViewT2IAdapter = ({
}
handlers.recallItem(t2iAdapter, true);
}, [handlers, t2iAdapter]);
const [renderedValue, setRenderedValue] = useState<React.ReactNode>(null);
useEffect(() => {
const _renderValue = async () => {

2
invokeai/frontend/web/src/features/metadata/components/RecallButton.tsx
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@ -1,4 +1,4 @@
import type { IconButtonProps} from '@invoke-ai/ui-library';
import type { IconButtonProps } from '@invoke-ai/ui-library';
import { IconButton, Tooltip } from '@invoke-ai/ui-library';
import { memo } from 'react';
import { useTranslation } from 'react-i18next';

1
invokeai/frontend/web/src/features/metadata/exceptions.ts
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@ -1 +0,0 @@

18
invokeai/frontend/web/src/features/metadata/hooks/useMetadataItem.tsx
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@ -2,15 +2,23 @@ import { Text } from '@invoke-ai/ui-library';
import type { MetadataHandlers } from 'features/metadata/types';
import { MetadataParseFailedToken, MetadataParsePendingToken } from 'features/metadata/util/parsers';
import { useCallback, useEffect, useMemo, useState } from 'react';
import { useTranslation } from 'react-i18next';
const pendingRenderedValue = <Text>Loading</Text>;
const failedRenderedValue = <Text>Parsing Failed</Text>;
const Pending = () => {
const { t } = useTranslation();
return <Text>{t('common.loading')}</Text>;
};
const Failed = () => {
const { t } = useTranslation();
return <Text>{t('metadata.parsingFailed')}</Text>;
};
export const useMetadataItem = <T,>(metadata: unknown, handlers: MetadataHandlers<T>) => {
const [value, setValue] = useState<T | typeof MetadataParsePendingToken | typeof MetadataParseFailedToken>(
MetadataParsePendingToken
);
const [renderedValue, setRenderedValue] = useState<React.ReactNode>(pendingRenderedValue);
const [renderedValue, setRenderedValue] = useState<React.ReactNode>(Pending);
useEffect(() => {
const _parse = async () => {
@ -31,11 +39,11 @@ export const useMetadataItem = <T,>(metadata: unknown, handlers: MetadataHandler
useEffect(() => {
const _renderValue = async () => {
if (value === MetadataParsePendingToken) {
setRenderedValue(pendingRenderedValue);
setRenderedValue(Pending);
return;
}
if (value === MetadataParseFailedToken) {
setRenderedValue(failedRenderedValue);
setRenderedValue(Failed);
return;
}

2
invokeai/frontend/web/src/features/modelManagerV2/subpanels/ModelPanel/Fields/ModelTypeSelect.tsx
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@ -15,7 +15,7 @@ const options: ComboboxOption[] = [
{ value: 'controlnet', label: MODEL_TYPE_LABELS['controlnet'] as string },
{ value: 'ip_adapter', label: MODEL_TYPE_LABELS['ip_adapter'] as string },
{ value: 't2i_adapater', label: MODEL_TYPE_LABELS['t2i_adapter'] as string },
] as const
] as const;
const ModelTypeSelect = <T extends AnyModelConfig>(props: UseControllerProps<T>) => {
const { field } = useController(props);

2
invokeai/frontend/web/src/features/nodes/hooks/useAnyOrDirectInputFieldNames.ts
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@ -1,4 +1,4 @@
import { EMPTY_ARRAY } from "app/store/constants";
import { EMPTY_ARRAY } from 'app/store/constants';
import { createMemoizedSelector } from 'app/store/createMemoizedSelector';
import { useAppSelector } from 'app/store/storeHooks';
import { selectNodesSlice } from 'features/nodes/store/nodesSlice';

2
invokeai/frontend/web/src/features/nodes/hooks/useConnectionInputFieldNames.ts
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@ -1,4 +1,4 @@
import { EMPTY_ARRAY } from "app/store/constants";
import { EMPTY_ARRAY } from 'app/store/constants';
import { createMemoizedSelector } from 'app/store/createMemoizedSelector';
import { useAppSelector } from 'app/store/storeHooks';
import { selectNodesSlice } from 'features/nodes/store/nodesSlice';

2
invokeai/frontend/web/src/features/nodes/hooks/useOutputFieldNames.ts
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@ -1,5 +1,5 @@
import { createSelector } from '@reduxjs/toolkit';
import { EMPTY_ARRAY } from "app/store/constants";
import { EMPTY_ARRAY } from 'app/store/constants';
import { useAppSelector } from 'app/store/storeHooks';
import { selectNodesSlice } from 'features/nodes/store/nodesSlice';
import { selectNodeTemplate } from 'features/nodes/store/selectors';

1
invokeai/frontend/web/src/features/parameters/hooks/usePreselectedImage.ts
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@ -10,7 +10,6 @@ import { t } from 'i18next';
import { useCallback, useEffect } from 'react';
import { useGetImageDTOQuery, useGetImageMetadataQuery } from 'services/api/endpoints/images';
export const usePreselectedImage = (selectedImage?: {
imageName: string;
action: 'sendToImg2Img' | 'sendToCanvas' | 'useAllParameters';

2
invokeai/frontend/web/src/features/settingsAccordions/components/GenerationSettingsAccordion/GenerationSettingsAccordion.tsx
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@ -10,7 +10,7 @@ import {
TabPanels,
Tabs,
} from '@invoke-ai/ui-library';
import { EMPTY_ARRAY } from "app/store/constants";
import { EMPTY_ARRAY } from 'app/store/constants';
import { createMemoizedSelector } from 'app/store/createMemoizedSelector';
import { useAppSelector } from 'app/store/storeHooks';
import { LoRAList } from 'features/lora/components/LoRAList';

4
invokeai/frontend/web/src/services/api/endpoints/models.ts
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@ -46,7 +46,7 @@ type InstallModelArg = {
access_token?: paths['/api/v2/models/install']['post']['parameters']['query']['access_token'];
// TODO(MM2): This is typed as `Optional[Dict[str, Any]]` in backend...
config?: JSONObject;
// config: NonNullable<paths['/api/v2/models/heuristic_install']['post']['requestBody']>['content']['application/json'];
// config: NonNullable<paths['/api/v2/models/install']['post']['requestBody']>['content']['application/json'];
};
type InstallModelResponse = paths['/api/v2/models/install']['post']['responses']['201']['content']['application/json'];
@ -180,7 +180,7 @@ export const modelsApi = api.injectEndpoints({
installModel: build.mutation<InstallModelResponse, InstallModelArg>({
query: ({ source, config, access_token }) => {
return {
url: buildModelsUrl('heuristic_install'),
url: buildModelsUrl('install'),
params: { source, access_token },
method: 'POST',
body: config,