useautocomplete mui how to do infinite scrolll

32 Replies

Hi @flankieflew. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave: ---------------------- To implement infinite scroll with the useAutocomplete hook from refine's Material UI integration, you'll need to use a combination of features. However, the useAutocomplete hook itself doesn't directly support infinite scrolling. Instead, you can use the useInfiniteList hook for this purpose. Here's a general approach to implement infinite scrolling with Material UI Autocomplete: 1. Use the useInfiniteList hook to fetch data in paginated form. 2. Implement the Autocomplete component with custom loading and option rendering. Here's a basic example of how you might set this up:

import { useInfiniteList } from "@refinedev/core";
import { Autocomplete, TextField, CircularProgress } from "@mui/material";
import React from "react";

const InfiniteScrollAutocomplete = () => {
  const {
    data,
    fetchNextPage,
    hasNextPage,
    isFetchingNextPage,
  } = useInfiniteList({
    resource: "categories",
  });

  const options = React.useMemo(() => {
    return data?.pages.flatMap((page) => page.data) ?? [];
  }, [data]);

  return (
    <Autocomplete
      options={options}
      getOptionLabel={(option) => option.title}
      renderInput={(params) => (
        <TextField {...params} label="Category" variant="outlined" />
      )}
      onScroll={(event) => {
        const listboxNode = event.currentTarget;
        if (
          listboxNode.scrollTop + listboxNode.clientHeight >=
          listboxNode.scrollHeight - 10
        ) {
          if (hasNextPage && !isFetchingNextPage) {
            fetchNextPage();
          }
        }
      }}
      loading={isFetchingNextPage}
      loadingText="Loading more..."
      renderOption={(props, option) => (
        <li {...props} key={option.id}>
          {option.title}
        </li>
      )}
    />
  );
};

import { useInfiniteList } from "@refinedev/core";
import { Autocomplete, TextField, CircularProgress } from "@mui/material";
import React from "react";

const InfiniteScrollAutocomplete = () => {
  const {
    data,
    fetchNextPage,
    hasNextPage,
    isFetchingNextPage,
  } = useInfiniteList({
    resource: "categories",
  });

  const options = React.useMemo(() => {
    return data?.pages.flatMap((page) => page.data) ?? [];
  }, [data]);

  return (
    <Autocomplete
      options={options}
      getOptionLabel={(option) => option.title}
      renderInput={(params) => (
        <TextField {...params} label="Category" variant="outlined" />
      )}
      onScroll={(event) => {
        const listboxNode = event.currentTarget;
        if (
          listboxNode.scrollTop + listboxNode.clientHeight >=
          listboxNode.scrollHeight - 10
        ) {
          if (hasNextPage && !isFetchingNextPage) {
            fetchNextPage();
          }
        }
      }}
      loading={isFetchingNextPage}
      loadingText="Loading more..."
      renderOption={(props, option) => (
        <li {...props} key={option.id}>
          {option.title}
        </li>
      )}
    />
  );
};

This example uses the useInfiniteList hook to fetch data, and implements custom scrolling behavior on the Autocomplete component to trigger loading of the next page when the user scrolls to the bottom. Please note that this is a basic implementation and you might need to adjust it based on your specific requirements and data structure. For more detailed information on using useInfiniteList, you can refer to the useInfiniteList documentation (https://refine.dev/docs/data/hooks/use-infinite-list/). Material UI Autocomplete documentation (https://mui.com/material-ui/react-autocomplete/) can also be helpful for understanding more about the Autocomplete component's props and behavior. ---------------------- Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: ----------------------

kapa.ai•7d ago

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genetic-orangeOP•7d ago

@kapa.ai where to set how much is fetched each time?

kapa.ai•7d ago

Let me check the knowledge base for you again. One moment! :books: ---------------------- To set how much data is fetched each time in the infinite scroll implementation with useInfiniteList, you can use the pagination property. Specifically, you'll want to set the pageSize within the pagination object. Here's how you can modify the useInfiniteList hook to specify the amount of data fetched each time:

const {
  data,
  fetchNextPage,
  hasNextPage,
  isFetchingNextPage,
} = useInfiniteList({
  resource: "categories",
  pagination: {
    pageSize: 20, // This sets how many items are fetched each time
  },
});

const {
  data,
  fetchNextPage,
  hasNextPage,
  isFetchingNextPage,
} = useInfiniteList({
  resource: "categories",
  pagination: {
    pageSize: 20, // This sets how many items are fetched each time
  },
});

In this example, 20 items will be fetched each time a new page is requested. You can adjust the pageSize value according to your needs. A larger pageSize will fetch more items at once, potentially reducing the number of API calls but increasing the initial load time. A smaller pageSize will fetch fewer items, potentially improving initial load time but requiring more frequent API calls as the user scrolls. This configuration is documented in the useInfiniteList documentation (https://refine.dev/docs/data/hooks/use-infinite-list/#pagination), which states: "You can pass the pageSize to the pagination property." Remember that the actual number of items returned may depend on your backend implementation and the total number of available items. ---------------------- Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: ----------------------

kapa.ai•7d ago

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genetic-orangeOP•7d ago

@kapa.ai so how does when does the onscroll event trigger?

kapa.ai•7d ago

Let me check the knowledge base for you again. One moment! :books: ---------------------- The onScroll event in the Autocomplete component is triggered whenever the user scrolls within the options list of the Autocomplete. In the context of implementing infinite scroll, we're particularly interested in detecting when the user has scrolled to the bottom of the list to load more items. Based on the example provided in the useInfiniteList documentation (https://refine.dev/docs/data/hooks/use-infinite-list/#usage), here's how the onScroll event is typically used:

<Autocomplete
  // ... other props
  onScroll={(event) => {
    const listboxNode = event.currentTarget;
    if (
      listboxNode.scrollTop + listboxNode.clientHeight >=
      listboxNode.scrollHeight - 10
    ) {
      if (hasNextPage && !isFetchingNextPage) {
        fetchNextPage();
      }
    }
  }}
  // ... other props
/>

<Autocomplete
  // ... other props
  onScroll={(event) => {
    const listboxNode = event.currentTarget;
    if (
      listboxNode.scrollTop + listboxNode.clientHeight >=
      listboxNode.scrollHeight - 10
    ) {
      if (hasNextPage && !isFetchingNextPage) {
        fetchNextPage();
      }
    }
  }}
  // ... other props
/>

Let's break down what's happening here: 1. The onScroll event is triggered every time the user scrolls within the Autocomplete options list. 2. Inside the event handler, we check if the user has scrolled to (or near) the bottom of the list. This is done by comparing: - listboxNode.scrollTop (how far the user has scrolled from the top) - Plus listboxNode.clientHeight (the visible height of the options list) - Against listboxNode.scrollHeight - 10 (the total scrollable height minus a small buffer) 3. If this condition is true (user has scrolled to the bottom), and if there's a next page available (hasNextPage) and we're not already fetching the next page (!isFetchingNextPage), then we call fetchNextPage() to load more items. The -10 in the calculation provides a small buffer, allowing the next page to be fetched slightly before the user reaches the absolute bottom of the list, providing a smoother experience. This approach ensures that new data is only fetched when needed, i.e., when the user has scrolled to the bottom of the currently loaded items, creating an efficient infinite scroll implementation. ---------------------- Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: ----------------------

kapa.ai•7d ago

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genetic-orangeOP•7d ago

@kapa.ai i put a console log on the onScroll function but it isn't firing when i scroll wthin the options list

kapa.ai•7d ago

Let me check the knowledge base for you again. One moment! :books: ---------------------- I apologize for the confusion. It seems you're experiencing an issue where the onScroll event is not firing as expected in the Material UI Autocomplete component. This could be due to a few reasons, and unfortunately, the knowledge sources provided don't contain specific information about troubleshooting this particular issue. However, based on the general behavior of the Material UI Autocomplete component, I can suggest a few things to check: 1. Make sure you're applying the onScroll prop directly to the Autocomplete component, not to a wrapper element. 2. Verify that your Autocomplete component has enough options to actually become scrollable. If there are too few options, the list might not scroll at all. 3. Check if you have enough vertical space for the Autocomplete dropdown to open fully. If it's constrained, it might not scroll. 4. Try using the ListboxProps prop to attach the scroll event listener, like this:

   <Autocomplete
     // ... other props
     ListboxProps={{
       onScroll: (event) => {
         console.log('Scrolling');
         // Your scroll logic here
       },
     }}
   />

   <Autocomplete
     // ... other props
     ListboxProps={{
       onScroll: (event) => {
         console.log('Scrolling');
         // Your scroll logic here
       },
     }}
   />

5. Ensure that you're not accidentally overriding the default Listbox component, which could interfere with scrolling behavior. If none of these suggestions solve the issue, it might be worth checking the Material UI documentation or raising an issue on their GitHub repository, as this could potentially be a bug or a specific behavior of the component that's not covered in the provided knowledge sources. For more detailed information about the Autocomplete component and its props, you can refer to the Material UI Autocomplete documentation (https://mui.com/material-ui/react-autocomplete/). If you continue to face issues, consider sharing more of your implementation details or creating a minimal reproducible example to get more specific help. ---------------------- Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: ----------------------

kapa.ai•7d ago

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genetic-orangeOP•7d ago

ok number 4 worked @kapa.ai ok number 4 worked

kapa.ai•7d ago

Let me check the knowledge base for you again. One moment! :books: ---------------------- I'm glad to hear that suggestion number 4 worked for you! Using the ListboxProps to attach the scroll event listener is indeed an effective way to handle scrolling events in the Material UI Autocomplete component. Now that you've successfully attached the scroll event, you can implement your infinite scroll logic within this event handler. Here's a reminder of how you might structure it based on the useInfiniteList documentation (https://refine.dev/docs/data/hooks/use-infinite-list/#usage):

<Autocomplete
  // ... other props
  ListboxProps={{
    onScroll: (event) => {
      const listboxNode = event.currentTarget;
      if (
        listboxNode.scrollTop + listboxNode.clientHeight >=
        listboxNode.scrollHeight - 10
      ) {
        if (hasNextPage && !isFetchingNextPage) {
          fetchNextPage();
        }
      }
    },
  }}
  // ... other props
/>

<Autocomplete
  // ... other props
  ListboxProps={{
    onScroll: (event) => {
      const listboxNode = event.currentTarget;
      if (
        listboxNode.scrollTop + listboxNode.clientHeight >=
        listboxNode.scrollHeight - 10
      ) {
        if (hasNextPage && !isFetchingNextPage) {
          fetchNextPage();
        }
      }
    },
  }}
  // ... other props
/>

This approach allows you to detect when the user has scrolled to the bottom of the list and trigger the loading of more items accordingly. Remember to adjust the logic inside the scroll event handler based on your specific requirements and the data fetching mechanism you're using (like useInfiniteList from refine). If you need any further assistance with implementing the infinite scroll functionality or have any other questions about refine and Material UI integration, please don't hesitate to ask. ---------------------- Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: ----------------------

kapa.ai•7d ago

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genetic-orangeOP•7d ago

ok sometimes there is enough vertical space, and it wont scroll, what to do now? @kapa.ai ok sometimes there is enough vertical space, and it wont scroll, what to do now?

kapa.ai•7d ago

Let me check the knowledge base for you again. One moment! :books: ---------------------- I understand you're facing an issue where the Autocomplete component doesn't scroll even when there's enough vertical space. This can be a tricky situation, and unfortunately, the provided knowledge sources don't directly address this specific problem. However, based on general Material UI Autocomplete behavior, I can suggest a few potential solutions: 1. Set a fixed height for the Listbox: You can force the Listbox to be scrollable by setting a fixed height using the ListboxProps. This ensures that even if there's enough vertical space, the list will still be scrollable:

   <Autocomplete
     // ... other props
     ListboxProps={{
       style: { maxHeight: '250px' }, // Adjust this value as needed
       onScroll: (event) => {
         // Your scroll logic here
       },
     }}
   />

   <Autocomplete
     // ... other props
     ListboxProps={{
       style: { maxHeight: '250px' }, // Adjust this value as needed
       onScroll: (event) => {
         // Your scroll logic here
       },
     }}
   />

2. Use the PaperComponent prop: You can customize the Paper component that wraps the listbox to enforce a maximum height:

   import Paper from '@mui/material/Paper';

   <Autocomplete
     // ... other props
     PaperComponent={({ children }) => (
       <Paper style={{ maxHeight: '250px' }}>
         {children}
       </Paper>
     )}
   />

   import Paper from '@mui/material/Paper';

   <Autocomplete
     // ... other props
     PaperComponent={({ children }) => (
       <Paper style={{ maxHeight: '250px' }}>
         {children}
       </Paper>
     )}
   />

3. Adjust the open prop: Sometimes, controlling the open state of the Autocomplete can help with rendering issues:

   const [open, setOpen] = React.useState(false);

   <Autocomplete
     // ... other props
     open={open}
     onOpen={() => setOpen(true)}
     onClose={() => setOpen(false)}
   />

   const [open, setOpen] = React.useState(false);

   <Autocomplete
     // ... other props
     open={open}
     onOpen={() => setOpen(true)}
     onClose={() => setOpen(false)}
   />

4. Check your data: Ensure that you're actually loading enough items to make the list scrollable. If you're not sure, you can temporarily add some dummy data to test. If these suggestions don't resolve the issue, it might be worth creating a minimal reproducible example and seeking help from the Material UI community or filing an issue on their GitHub repository, as this could potentially be a bug or an edge case in the component's behavior. For more information on Autocomplete props and customization, you can refer to the Material UI Autocomplete documentation (https://mui.com/material-ui/react-autocomplete/). ---------------------- Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: ----------------------

kapa.ai•7d ago

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genetic-orangeOP•7d ago

@kapa.ai cool, diff btw renderOption and getOptionLabel?

kapa.ai•7d ago

Let me check the knowledge base for you again. One moment! :books: ---------------------- The renderOption and getOptionLabel props in Material UI's Autocomplete component serve different purposes. Let me explain the difference based on the information from the Material UI Autocomplete documentation (https://mui.com/material-ui/react-autocomplete/): 1. getOptionLabel: This prop is used to determine what text should be displayed in the input when an option is selected. It's also used for filtering and displaying options in the dropdown list. Example:

   getOptionLabel={(option) => option.title}

   getOptionLabel={(option) => option.title}

This would display the title property of each option object in the input and dropdown. 2. renderOption: This prop allows you to customize how each option is rendered in the dropdown list. It gives you full control over the appearance of each option. Example:

   renderOption={(props, option) => (
     <li {...props} key={option.id}>
       {option.title}
     </li>
   )}

   renderOption={(props, option) => (
     <li {...props} key={option.id}>
       {option.title}
     </li>
   )}

This would render each option as a list item with the option's title. The key differences are: - getOptionLabel is primarily for determining the text representation of an option. - renderOption is for customizing the entire appearance of an option in the dropdown. You might use getOptionLabel for simple text representation, while renderOption is useful when you need more complex formatting, like adding icons, styling, or additional information to each option. Source (https://refine.dev/blog/material-ui-autocomplete-component/#renderinput) Remember, these props can be used together to create a highly customized Autocomplete component that fits your specific needs. ---------------------- Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: ----------------------

kapa.ai•7d ago

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genetic-orangeOP•7d ago

@kapa.ai ok cool but how this does not refetch with filter after i start typing

kapa.ai•7d ago

Let me check the knowledge base for you again. One moment! :books: ---------------------- I apologize for the confusion. You're right to point out that the Autocomplete component should typically refetch with a filter as you start typing. This behavior is usually handled by the onSearch prop in refine's useAutocomplete hook. Let me explain how this should work and why it might not be refetching in your case. According to the useAutocomplete documentation (https://refine.dev/docs/ui-integrations/material-ui/hooks/use-auto-complete/#onsearch), the onSearch prop allows you to filter the options as you type. Here's how you can implement it:

import { useAutocomplete } from "@refinedev/mui";
import { Autocomplete, TextField } from "@mui/material";

const { autocompleteProps } = useAutocomplete({
  resource: "categories",
  onSearch: (value) => [
    {
      field: "title",
      operator: "contains",
      value,
    },
  ],
});

<Autocomplete
  {...autocompleteProps}
  renderInput={(params) => <TextField {...params} label="Category" />}
/>

import { useAutocomplete } from "@refinedev/mui";
import { Autocomplete, TextField } from "@mui/material";

const { autocompleteProps } = useAutocomplete({
  resource: "categories",
  onSearch: (value) => [
    {
      field: "title",
      operator: "contains",
      value,
    },
  ],
});

<Autocomplete
  {...autocompleteProps}
  renderInput={(params) => <TextField {...params} label="Category" />}
/>

In this setup, every time you type, the onSearch function should trigger a new request with the updated filter. If this is not happening in your case, there could be a few reasons: 1. You might not be using the useAutocomplete hook, or not passing its autocompleteProps to your Autocomplete component. 2. The onSearch prop might not be defined in your useAutocomplete hook. 3. If you're using a custom implementation, you might need to manually trigger the refetch based on input changes. To ensure that filtering works as you type, make sure you're using the useAutocomplete hook and passing the onSearch prop correctly. If you're still facing issues, you might want to check your network requests to see if the API calls are being made as you type. If they're not, there might be an issue with how the onSearch function is set up or how it's being triggered. Remember, the exact implementation might vary depending on your specific setup and requirements. If you're using a custom implementation or a different approach, you might need to adjust the logic accordingly. ---------------------- Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: ----------------------

kapa.ai•7d ago

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genetic-orangeOP•7d ago

@kapa.ai huh but u told me to use usefinitelist?? @kapa.ai huh but u told me to use usefinitelist??

kapa.ai•7d ago

Let me check the knowledge base for you again. One moment! :books: ---------------------- I apologize for the confusion in my previous responses. You're absolutely right, and I thank you for pointing this out. I made a mistake in switching between useInfiniteList and useAutocomplete in our conversation. Let me clarify: You're correct that we initially discussed using useInfiniteList for implementing infinite scroll with the Autocomplete component. The useInfiniteList hook doesn't have built-in search functionality like useAutocomplete does. When using useInfiniteList, you would need to implement the search functionality manually. Here's how you might approach this: 1. Use useInfiniteList to fetch paginated data. 2. Implement a custom search function that filters the fetched data locally. 3. Use the filtered data to populate the Autocomplete component. Here's a basic example of how this might look:

import { useInfiniteList } from "@refinedev/core";
import { Autocomplete, TextField } from "@mui/material";
import { useState, useMemo } from "react";

const InfiniteScrollAutocomplete = () => {
  const [searchTerm, setSearchTerm] = useState("");

  const { data, fetchNextPage, hasNextPage, isFetchingNextPage } = useInfiniteList({
    resource: "categories",
    pagination: { pageSize: 20 },
  });

  const options = useMemo(() => {
    const allOptions = data?.pages.flatMap((page) => page.data) ?? [];
    return allOptions.filter(option => 
      option.title.toLowerCase().includes(searchTerm.toLowerCase())
    );
  }, [data, searchTerm]);
return (
    <Autocomplete
      options={options}
      getOptionLabel={(option) => option.title}
      renderInput={(params) => (
        <TextField 
          {...params} 
          label="Category" 
          onChange={(e) => setSearchTerm(e.target.value)}
        />
      )}
      ListboxProps={{
        onScroll: (event) => {
          const listboxNode = event.currentTarget;
          if (
            listboxNode.scrollTop + listboxNode.clientHeight >=
            listboxNode.scrollHeight - 10
          ) {
            if (hasNextPage && !isFetchingNextPage) {
              fetchNextPage();
            }
          }
        },
      }}
    />
  );
};

import { useInfiniteList } from "@refinedev/core";
import { Autocomplete, TextField } from "@mui/material";
import { useState, useMemo } from "react";

const InfiniteScrollAutocomplete = () => {
  const [searchTerm, setSearchTerm] = useState("");

  const { data, fetchNextPage, hasNextPage, isFetchingNextPage } = useInfiniteList({
    resource: "categories",
    pagination: { pageSize: 20 },
  });

  const options = useMemo(() => {
    const allOptions = data?.pages.flatMap((page) => page.data) ?? [];
    return allOptions.filter(option => 
      option.title.toLowerCase().includes(searchTerm.toLowerCase())
    );
  }, [data, searchTerm]);
return (
    <Autocomplete
      options={options}
      getOptionLabel={(option) => option.title}
      renderInput={(params) => (
        <TextField 
          {...params} 
          label="Category" 
          onChange={(e) => setSearchTerm(e.target.value)}
        />
      )}
      ListboxProps={{
        onScroll: (event) => {
          const listboxNode = event.currentTarget;
          if (
            listboxNode.scrollTop + listboxNode.clientHeight >=
            listboxNode.scrollHeight - 10
          ) {
            if (hasNextPage && !isFetchingNextPage) {
              fetchNextPage();
            }
          }
        },
      }}
    />
  );
};

In this setup, useInfiniteList handles the pagination, while the search is performed locally on the client-side using the useMemo hook. I apologize again for the confusion in my previous responses. Thank you for your patience, and please let me know if you need any further clarification or have any questions about this approach. useInfiniteList documentation (https://refine.dev/docs/data/hooks/use-infinite-list/) ---------------------- Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: ----------------------

kapa.ai•7d ago

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genetic-orangeOP•7d ago

@kapa.ai but that means if i'm searching for the 21st result it wont' appear?

kapa.ai•7d ago

Let me check the knowledge base for you again. One moment! :books: ---------------------- You're absolutely right, and I apologize for not addressing this important limitation in my previous response. You've identified a critical issue with the approach I suggested. Indeed, if you're searching for the 21st result (or any result beyond the initially loaded page size), it won't appear in the search results using the client-side filtering approach I described earlier. This is because the search is only performed on the data that has already been fetched, which in this case would be limited to the first 20 results (assuming a page size of 20). To properly implement a search that can find results across all possible items, including those not yet loaded, we need to modify our approach. Here's a better way to handle this using useInfiniteList: 1. We should trigger a new data fetch when the search term changes, resetting the pagination. 2. We need to pass the search term to the server so it can filter the results before sending them back. Here's how we might implement this:

import { useInfiniteList } from "@refinedev/core";
import { Autocomplete, TextField } from "@mui/material";
import { useState, useEffect } from "react";

const InfiniteScrollAutocomplete = () => {
  const [searchTerm, setSearchTerm] = useState("");

  const { data, fetchNextPage, hasNextPage, isFetchingNextPage, refetch } = useInfiniteList({
    resource: "categories",
    pagination: { pageSize: 20 },
    filters: [
      {
        field: "title",
        operator: "contains",
        value: searchTerm,
      },
    ],
  });

  useEffect(() => {
    refetch();
  }, [searchTerm, refetch]);

  const options = data?.pages.flatMap((page) => page.data) ?? [];
return (
    <Autocomplete
      options={options}
      getOptionLabel={(option) => option.title}
      renderInput={(params) => (
        <TextField 
          {...params} 
          label="Category" 
          onChange={(e) => setSearchTerm(e.target.value)}
        />
      )}
      ListboxProps={{
        onScroll: (event) => {
          const listboxNode = event.currentTarget;
          if (
            listboxNode.scrollTop + listboxNode.clientHeight >=
            listboxNode.scrollHeight - 10
          ) {
            if (hasNextPage && !isFetchingNextPage) {
              fetchNextPage();
            }
          }
        },
      }}
    />
  );
};

import { useInfiniteList } from "@refinedev/core";
import { Autocomplete, TextField } from "@mui/material";
import { useState, useEffect } from "react";

const InfiniteScrollAutocomplete = () => {
  const [searchTerm, setSearchTerm] = useState("");

  const { data, fetchNextPage, hasNextPage, isFetchingNextPage, refetch } = useInfiniteList({
    resource: "categories",
    pagination: { pageSize: 20 },
    filters: [
      {
        field: "title",
        operator: "contains",
        value: searchTerm,
      },
    ],
  });

  useEffect(() => {
    refetch();
  }, [searchTerm, refetch]);

  const options = data?.pages.flatMap((page) => page.data) ?? [];
return (
    <Autocomplete
      options={options}
      getOptionLabel={(option) => option.title}
      renderInput={(params) => (
        <TextField 
          {...params} 
          label="Category" 
          onChange={(e) => setSearchTerm(e.target.value)}
        />
      )}
      ListboxProps={{
        onScroll: (event) => {
          const listboxNode = event.currentTarget;
          if (
            listboxNode.scrollTop + listboxNode.clientHeight >=
            listboxNode.scrollHeight - 10
          ) {
            if (hasNextPage && !isFetchingNextPage) {
              fetchNextPage();
            }
          }
        },
      }}
    />
  );
};

In this updated version: 1. We include the searchTerm in the filters option of useInfiniteList. This ensures that the server receives the search term and can filter results accordingly. 2. We use useEffect to trigger a refetch whenever the searchTerm changes. This resets the pagination and fetches new results based on the updated search term. This approach allows searching across all possible results, not just the initially loaded ones. It combines the benefits of server-side searching with infinite scrolling, ensuring that you can find the 21st result (or any result) regardless of its position in the full dataset. Thank you for pointing out this important issue. It's a great example of why we need to carefully consider the implications of our implementations, especially when dealing with large datasets and search functionality. useInfiniteList documentation (https://refine.dev/docs/data/hooks/use-infinite-list/#filters) ---------------------- Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: ----------------------

kapa.ai•7d ago

<@343691288442306561> Kapa.ai is still learning and improving, please let me know how I did by reacting below.

genetic-orangeOP•7d ago

@kapa.ai that's great but i don't type anyting there are not results, i guess because the search term is initiated with ""

kapa.ai•7d ago

Let me check the knowledge base for you again. One moment! :books: ---------------------- You're absolutely correct, and thank you for pointing out this important detail. The issue you're experiencing is indeed because the initial search term is an empty string (""), which might be causing the server to return no results. To fix this, we can modify our approach slightly. Here's an improved version that should work better: 1. We'll initialize the search term as undefined instead of an empty string. 2. We'll only apply the filter when the search term is not empty. Here's how we can implement this:

import { useInfiniteList } from "@refinedev/core";
import { Autocomplete, TextField } from "@mui/material";
import { useState, useEffect } from "react";

const InfiniteScrollAutocomplete = () => {
  const [searchTerm, setSearchTerm] = useState(undefined);

  const { data, fetchNextPage, hasNextPage, isFetchingNextPage, refetch } = useInfiniteList({
    resource: "categories",
    pagination: { pageSize: 20 },
    filters: searchTerm
      ? [
          {
            field: "title",
            operator: "contains",
            value: searchTerm,
          },
        ]
      : [],
  });

  useEffect(() => {
    refetch();
  }, [searchTerm, refetch]);

  const options = data?.pages.flatMap((page) => page.data) ?? [];
return (
    <Autocomplete
      options={options}
      getOptionLabel={(option) => option.title}
      renderInput={(params) => (
        <TextField 
          {...params} 
          label="Category" 
          onChange={(e) => setSearchTerm(e.target.value || undefined)}
        />
      )}
      ListboxProps={{
        onScroll: (event) => {
          const listboxNode = event.currentTarget;
          if (
            listboxNode.scrollTop + listboxNode.clientHeight >=
            listboxNode.scrollHeight - 10
          ) {
            if (hasNextPage && !isFetchingNextPage) {
              fetchNextPage();
            }
          }
        },
      }}
    />
  );
};

import { useInfiniteList } from "@refinedev/core";
import { Autocomplete, TextField } from "@mui/material";
import { useState, useEffect } from "react";

const InfiniteScrollAutocomplete = () => {
  const [searchTerm, setSearchTerm] = useState(undefined);

  const { data, fetchNextPage, hasNextPage, isFetchingNextPage, refetch } = useInfiniteList({
    resource: "categories",
    pagination: { pageSize: 20 },
    filters: searchTerm
      ? [
          {
            field: "title",
            operator: "contains",
            value: searchTerm,
          },
        ]
      : [],
  });

  useEffect(() => {
    refetch();
  }, [searchTerm, refetch]);

  const options = data?.pages.flatMap((page) => page.data) ?? [];
return (
    <Autocomplete
      options={options}
      getOptionLabel={(option) => option.title}
      renderInput={(params) => (
        <TextField 
          {...params} 
          label="Category" 
          onChange={(e) => setSearchTerm(e.target.value || undefined)}
        />
      )}
      ListboxProps={{
        onScroll: (event) => {
          const listboxNode = event.currentTarget;
          if (
            listboxNode.scrollTop + listboxNode.clientHeight >=
            listboxNode.scrollHeight - 10
          ) {
            if (hasNextPage && !isFetchingNextPage) {
              fetchNextPage();
            }
          }
        },
      }}
    />
  );
};

In this updated version: 1. We initialize searchTerm as undefined. 2. We only apply the filter when searchTerm is truthy (not empty). 3. In the onChange handler, we set the search term to undefined if the input is empty. This approach should solve the issue you were facing. When the component first renders or when the input is empty, it won't apply any filter, allowing all results to be fetched and displayed. As soon as the user starts typing, the filter will be applied. Thank you for your attention to detail. This kind of feedback is crucial for creating robust and user-friendly implementations. useInfiniteList documentation (https://refine.dev/docs/data/hooks/use-infinite-list/#filters) ---------------------- Note: you can ask me a follow up question by @ mentioning me again :speech_balloon: ----------------------

kapa.ai•7d ago

<@343691288442306561> Kapa.ai is still learning and improving, please let me know how I did by reacting below.