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https://github.com/hexastack/hexabot
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refactor: nlp select pattern v2
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parent
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commit
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@ -9,6 +9,7 @@
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import { Cancel } from "@mui/icons-material";
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import {
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Box,
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Chip,
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CircularProgress,
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IconButton,
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InputAdornment,
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@ -17,7 +18,7 @@ import {
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useTheme,
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} from "@mui/material";
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import Autocomplete from "@mui/material/Autocomplete";
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import { forwardRef, SyntheticEvent, useRef, useState } from "react";
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import { forwardRef, SyntheticEvent, useRef } from "react";
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import { Input } from "@/app-components/inputs/Input";
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import { useFind } from "@/hooks/crud/useFind";
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@ -29,17 +30,22 @@ import { NlpPattern } from "@/types/block.types";
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import { INlpEntity } from "@/types/nlp-entity.types";
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import { INlpValue } from "@/types/nlp-value.types";
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type NlpPatternSelectProps = { patterns: NlpPattern[]; onChange: any };
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type NlpPatternSelectProps = {
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patterns: NlpPattern[];
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onChange: (
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_event: SyntheticEvent<Element, Event> | undefined,
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patterns: NlpPattern[],
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) => void;
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};
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const NlpPatternSelect = (
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{ patterns, onChange }: NlpPatternSelectProps,
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ref,
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) => {
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const inputRef = useRef(null);
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const [selected, setSelected] = useState<NlpPattern[]>(patterns);
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const theme = useTheme();
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const { t } = useTranslate();
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const { onSearch, searchPayload } = useSearch<INlpEntity>({
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const { searchPayload } = useSearch<INlpEntity>({
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$iLike: ["name"],
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});
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const { data: options, isLoading } = useFind(
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@ -47,19 +53,18 @@ const NlpPatternSelect = (
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{ hasCount: false, params: searchPayload },
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);
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const getNlpValueFromCache = useGetFromCache(EntityType.NLP_VALUE);
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function handleNlpEntityChange(
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const handleNlpEntityChange = (
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_event: SyntheticEvent<Element, Event>,
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entities: INlpEntity[],
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): void {
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const intersection = selected.filter(({ entity: entityName }) =>
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): void => {
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const intersection = patterns.filter(({ entity: entityName }) =>
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entities.find(({ name }) => name === entityName),
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);
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const additions = entities.filter(
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({ name }) =>
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!selected.find(({ entity: entityName }) => name === entityName),
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!patterns.find(({ entity: entityName }) => name === entityName),
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);
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const newSelection: NlpPattern[] = [
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const newSelection = [
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...intersection,
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...additions.map(
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({ name }) =>
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@ -71,20 +76,22 @@ const NlpPatternSelect = (
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),
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];
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setSelected(newSelection);
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}
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const handleNlpValueChange = (entity: INlpEntity, valueId: string) => {
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const newSelection = [...selected];
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const update = newSelection.find(({ entity: e }) => e === entity.name);
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onChange(undefined, newSelection);
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};
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const handleNlpValueChange = (
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{ id, name }: Pick<INlpEntity, "id" | "name">,
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valueId: string,
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): void => {
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const newSelection = patterns.slice(0);
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const update = newSelection.find(({ entity: e }) => e === name);
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if (!update) {
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throw new Error("Unable to find nlp entity");
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}
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if (valueId === entity.id) {
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if (valueId === id) {
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update.match = "entity";
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update.value = entity.name;
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update.value = name;
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} else {
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const value = getNlpValueFromCache(valueId);
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@ -106,7 +113,7 @@ const NlpPatternSelect = (
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const defaultValue =
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options.filter(({ name }) =>
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selected.find(({ entity: entityName }) => entityName === name),
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patterns.find(({ entity: entityName }) => entityName === name),
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) || {};
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return (
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@ -159,29 +166,25 @@ const NlpPatternSelect = (
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display: "flex",
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flexWrap: "wrap",
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gap: 0.5,
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mx: "0.5rem",
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}}
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>
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{entities.map((entity, index) => {
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{entities.map(({ id, name, values }, index) => {
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const { key, onDelete } = getTagProps({ index });
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const handleChange = (
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_event: SyntheticEvent<Element, Event>,
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valueId: string,
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) => {
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handleNlpValueChange(entity, valueId);
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};
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const values = entity.values.map((vId) =>
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const nlpValues = values.map((vId) =>
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getNlpValueFromCache(vId),
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) as INlpValue[];
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const selectedValue = patterns?.find(
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(e) => e.entity === entity.name,
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const selectedValue = patterns.find(
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(e) => e.entity === name,
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)?.value;
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const value = values.find(({ value }) => value === selectedValue);
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const { id: selectedId = id } =
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nlpValues.find(({ value }) => value === selectedValue) || {};
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return (
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<Autocomplete
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size="small"
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defaultValue={value?.id || entity.id}
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options={[entity.id].concat(entity.values)}
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defaultValue={selectedId}
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options={[id].concat(values)}
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multiple={false}
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key={key}
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getOptionLabel={(option) => {
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@ -191,7 +194,7 @@ const NlpPatternSelect = (
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return nlpValueCache?.value;
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}
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if (option === entity.id) {
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if (option === id) {
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return t("label.any");
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}
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@ -200,10 +203,11 @@ const NlpPatternSelect = (
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freeSolo={false}
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disableClearable
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popupIcon={false}
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onChange={handleChange}
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onChange={(e, valueId) =>
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handleNlpValueChange({ id, name }, valueId)
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}
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sx={{
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minWidth: 50,
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padding: 0,
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".MuiAutocomplete-input": {
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minWidth: "100px !important",
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},
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@ -214,59 +218,67 @@ const NlpPatternSelect = (
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},
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},
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}}
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renderInput={(props) => {
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return (
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<Input
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{...props}
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InputProps={{
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...props.InputProps,
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readOnly: true,
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sx: {
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padding: 0,
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overflow: "hidden",
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cursor: "pointer",
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},
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startAdornment: (
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<InputAdornment
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position="start"
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renderInput={(props) => (
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<Input
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{...props}
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InputProps={{
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...props.InputProps,
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readOnly: true,
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sx: {
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padding: 0,
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overflow: "hidden",
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cursor: "pointer",
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fontSize: "14px",
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},
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startAdornment: (
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<InputAdornment position="start">
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<Chip
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sx={{
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padding: "0 1rem",
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height: "100%",
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backgroundColor: theme.palette.grey[200],
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p: "0 0.3rem",
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border: "none",
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borderRadius: 0,
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}}
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>
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{entity.name}
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</InputAdornment>
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),
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endAdornment: (
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<InputAdornment position="end">
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{isLoading ? (
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<CircularProgress color="inherit" size={20} />
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) : (
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<IconButton
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sx={{ padding: 0 }}
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onClick={(e) => {
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onDelete(e);
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color="primary"
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label={name}
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variant="role"
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/>
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</InputAdornment>
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),
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endAdornment: (
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<InputAdornment position="end">
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{isLoading ? (
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<CircularProgress color="inherit" size={20} />
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) : (
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<IconButton
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sx={{ p: 0, pr: "2px" }}
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onClick={(e) => {
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onDelete(e);
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onChange(
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undefined,
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patterns.filter(
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(p) => p.entity !== entity.name,
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),
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);
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onChange(
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undefined,
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patterns.filter((p) => p.entity !== name),
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);
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}}
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edge="end"
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size="small"
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>
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<Cancel
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sx={{
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fontSize: "16px",
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transition: ".05s",
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"&:hover": {
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color: theme.palette.grey[700],
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},
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}}
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edge="end"
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size="small"
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>
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<Cancel htmlColor={theme.palette.grey[500]} />
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</IconButton>
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)}
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</InputAdornment>
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),
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}}
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/>
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);
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}}
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htmlColor={theme.palette.grey[500]}
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/>
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</IconButton>
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)}
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</InputAdornment>
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),
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}}
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/>
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)}
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/>
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);
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})}
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@ -276,8 +288,13 @@ const NlpPatternSelect = (
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renderInput={(props) => (
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<Input
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{...props}
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sx={{
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"& .MuiOutlinedInput-root": {
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paddingRight: "6px !important",
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},
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}}
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size="small"
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label={t("label.nlp")}
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onChange={(e) => onSearch(e.target.value)}
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InputProps={{
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...props.InputProps,
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inputRef,
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@ -153,83 +153,6 @@ const PatternInput: FC<PatternInputProps> = ({
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}}
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/>
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)}
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{/* {patternType === "nlp" ? (
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<AutoCompleteEntitySelect<INlpValue, "value">
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value={(pattern as NlpPattern[]).map((v) =>
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"value" in v && v.value ? v.value : v.entity,
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)}
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searchFields={["value", "label"]}
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entity={EntityType.NLP_VALUE}
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format={Format.FULL}
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idKey="value"
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labelKey="value"
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label={t("label.nlp")}
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multiple={true}
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onChange={(_e, data) => {
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setPattern(
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data.map((d) => {
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const entity = getNlpEntityFromCache(d.entity) as INlpEntity;
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return d.value === "any"
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? {
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match: "entity",
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entity: entity.name,
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}
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: {
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match: "value",
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entity: entity.name,
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value: d.value,
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};
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}),
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);
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}}
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getOptionLabel={(option) => {
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const entity = getNlpEntityFromCache(option.entity) as INlpEntity;
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return `${entity.name}=${option.value}`;
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}}
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groupBy={(option) => {
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const entity = getNlpEntityFromCache(option.entity) as INlpEntity;
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return entity.name;
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}}
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renderGroup={(params) => (
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<li key={params.key}>
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<Typography
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component="h4"
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p={2}
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fontWeight={700}
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color="primary"
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>
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{params.group}
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</Typography>
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<Box>{params.children}</Box>
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</li>
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)}
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preprocess={(options) => {
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return options.reduce((acc, curr) => {
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const entity = getNlpEntityFromCache(curr.entity) as INlpEntity;
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if (entity.lookups.includes("keywords")) {
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const exists = acc.find(
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({ value, id }) => value === "any" && id === entity.id,
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);
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if (!exists) {
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acc.push({
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entity: entity.id,
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id: entity.id,
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value: "any",
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} as INlpValue);
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}
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}
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acc.push(curr);
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return acc;
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}, [] as INlpValue[]);
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}}
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/>
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) : null} */}
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{patternType === "menu" ? (
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<AutoCompleteEntitySelect<IMenuItem, "title", false>
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value={pattern ? (pattern as PayloadPattern).value : null}
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