#unstable_cache

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graceful cove
#
'use server';

import { RawMenuData } from '@/app/api/types/RawMenuData';
import { processMenuData } from '@/utils/dataProcessingLogic/processMenuData';
import { ProcessedMenuData } from '@/app/api/types/ProcessedMenuData';
import { unstable_cache } from 'next/cache';
import { CONTENT_TYPE_HEADER, AUTHORIZATION_HEADER } from '@/constants/HTTP_HEADERS';

const { CMS_ORGANIZATION_ID, CMS_API_URL, CMS_API_TOKEN } = process.env;

interface Result {
  menuData?: ProcessedMenuData;
  errorMessage?: string;
}

export const getMenuData = unstable_cache(
  async (): Promise<Result> => {
      const apiToken = CMS_API_TOKEN ;
      const getRawMenuDataResponse = await fetch(`${CMS_API_URL}/api/1/nomenclature`, {
        headers: { ...CONTENT_TYPE_HEADER, ...AUTHORIZATION_HEADER(apiToken) },
        method: 'POST',
        body: JSON.stringify({
          organizationId: CMS_ORGANIZATION_ID,
        }),
        cache: 'force-cache',
        next: { tags: ['menu'] },
      });

      if (!getRawMenuDataResponse.ok) {
        throw new Error(
          `HTTP error`
        );
      }

      const getRawMenuDataResponseData: RawMenuData = await getRawMenuDataResponse.json();

      const proceccedMenuData = processMenuData(getRawMenuDataResponseData);

      console.log(`[SERVER ACTION - getMenuData] - Success`);
      return { menuData: proceccedMenuData };
    } catch (error) {
      console.log(`ERROR: [SERVER ACTION - getMenuData]`);
      return { errorMessage: 'Error' };
    }
  },
  ['menu'],
  {
    tags: ['menu'],
  }
);

In my app I have 7 pages and each page uses getMenuData like this: const { menuData } = await getMenuData()
However even tho I use unstable_cache - when I build my app I see that getMenuData is being called 7 times instead of just one. The requests to the CMS are not duplicated because of fetch caching but still im worrying - is it fine that getMenuData is being called multiple times? Is it fine or there is a better approach?

mossy fractalBOT
#

Hi @graceful cove. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:

#

The unstable_cache function in Next.js is designed to cache the result of a function call based on its inputs. This means that if you call getMenuData from different places in your code without any arguments, it should return the cached result after the first call, and not execute the function body again.

However, it's important to note that unstable_cache is an experimental feature and its behavior might not be fully stable or predictable. Also, the cache is not shared between different serverless functions (pages) in Next.js. This means that if you're calling getMenuData from different pages, each page will have its own separate cache. This could explain why you're seeing getMenuData being called multiple times during your build process.

If you want to avoid calling getMenuData multiple times during your build process, you might need to rethink your data fetching strategy. One possible approach could be to fetch the menu data at a higher level in your application and pass it down to your pages via props or context.

Remember that the fetch function used inside getMenuData also has its own caching mechanism controlled by the cache option. This can help to avoid unnecessary network requests to your CMS.

For more information, you can refer to the following sources:


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#

@graceful cove kapa.ai is still learning and improving, please let us know how it did by reacting below

graceful cove
#

@mossy fractal How do I write tests for revalidation (fetch cache, unstable_cache etc)?

mossy fractalBOT
#

Let me check the knowledge base for you. One moment! :books:

#

Testing revalidation in Next.js, especially with features like fetch cache and unstable_cache, can be a bit tricky due to the nature of these features. However, you can approach it by mocking the fetch calls and the cache behavior. Here's a general approach:

  1. Mock the fetch calls: You can use libraries like jest-fetch-mock to mock the fetch calls in your tests. This allows you to control the responses and simulate different scenarios.

  2. Test the caching behavior: To test the caching behavior, you can call your function multiple times and check if the fetch function was called only once (indicating that the result was cached).

  3. Test the revalidation behavior: To test the revalidation behavior, you can simulate a change in the data and call your function again. The fetch function should be called again, indicating that the data was revalidated.

Here's a very basic example:

import { unstable_cache } from 'next/cache';
import fetch from 'node-fetch';

jest.mock('node-fetch', () => jest.fn());

test('tests revalidation', async () => {
  const data = { key: 'value' };
  const newData = { key: 'new value' };

  // Mock the fetch call to return the data
  fetch.mockResolvedValueOnce({
    ok: true,
    json: async () => data,
  });

  const myFunction = unstable_cache(async () => {
    const response = await fetch('<https://my-api.com/data'>);
    return response.json();
  });

  // Call the function twice
  const result1 = await myFunction();
  const result2 = await myFunction();

  // Check if the fetch function was called only once
  expect(fetch).toHaveBeenCalledTimes(1);
  expect(result1).toEqual(data);
  expect(result2).toEqual(data);

  // Mock the fetch call to return the new data
  fetch.mockResolvedValueOnce({
    ok: true,
    json: async () => newData,
  });
#

// Call the function again
const result3 = await myFunction();

// Check if the fetch function was called again and the result is the new data
expect(fetch).toHaveBeenCalledTimes(2);
expect(result3).toEqual(newData);
});


Please note that this is a simplified example and might not cover all cases. Depending on your use case, you might need to adjust this example.

Also, keep in mind that `unstable_cache` is an experimental feature and its behavior might change in future versions of Next.js.

For more information, you can refer to the following sources:
- **Next.js Caching Documentation** (<https://nextjs.org/docs/app/building-your-application/caching>)
- **Jest Fetch Mock Documentation** (<https://www.npmjs.com/package/jest-fetch-mock>)
- **Next.js Github Issue on Caching** (<https://github.com/vercel/next.js/issues/57978>)
- **Next.js Github Issue on unstable_cache** (<https://github.com/vercel/next.js/issues/58321>)
----------------------
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----------------------
#

@graceful cove kapa.ai is still learning and improving, please let us know how it did by reacting below

graceful cove
#

@mossy fractal

export const getCmsApiToken = async (): Promise<Result> => {
  try {
    const response = await fetch(`${CMS_URL}/api/1/access_token`, {
      headers: CONTENT_TYPE_HEADER,
      method: 'POST',
      body: JSON.stringify({
        apiLogin: CMS_API_KEY,
      }),
      next: { tags: ['cms-api-token', 'menu'], revalidate: 60 * 60 },
    });

    if (!response.ok) {
      throw new Error(`HTTP error while fetching CMS API token. Status: ${response.status} ${response.statusText}`);
    }

    const responseData: GetCmsApiTokenResponseData = await response.json();

    if (!responseData.token) {
      throw new Error(`Expected a token in the API response but received: ${JSON.stringify(responseData)}`);
    }


    console.log('[SERVER ACTION - getCmsApiToken] - Success');
    return { apiToken: responseData.token };
  } catch (error) {
    console.log(`---- ERROR: [SERVER ACTION - getCmsApiToken] ${error instanceof Error ? error.message : error}`);
    return { errorMessage: 'Ошибка при получении API токена CMS' };
  }
};

why fetch result is not being cached?

mossy fractalBOT
#

Let me check the knowledge base for you. One moment! :books:

#

The fetch function in Next.js automatically caches the result of data fetches across incoming server requests and deployments. However, there are several conditions where fetch requests are not cached:

  • The cache: 'no-store' is added to fetch requests.
  • The revalidate: 0 option is added to individual fetch requests.
  • The fetch request is inside a Router Handler that uses the POST method.
  • The fetch request comes after the usage of headers or cookies.
  • The fetch request uses Authorization or Cookie headers and there's an uncached request above it in the component tree.

In your case, the fetch request is using the POST method, which is one of the conditions where fetch requests are not cached. This is why the fetch result is not being cached.

If you want to cache the result of a fetch request that uses the POST method, you might need to use a different caching strategy. For example, you could store the result in a global state or in a database, and check this cache before making the fetch request.

For more information, you can refer to the Next.js Caching Documentation (https://nextjs.org/docs/app/building-your-application/caching).

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@graceful cove kapa.ai is still learning and improving, please let us know how it did by reacting below

graceful cove
#

@mossy fractal 'use server';

import { CONTENT_TYPE_HEADER } from '@/constants/HTTP_HEADERS';
import { unstable_cache } from 'next/cache';

const { CMS_API_KEY, CMS_API_URL, IS_DEV, CMS_API_URL_DEV_MOCK } = process.env;
const CMS_URL = IS_DEV ? CMS_API_URL_DEV_MOCK : CMS_API_URL;

interface GetCmsApiTokenResponseData {
correlationId: string;
token?: string;
errorDescription?: string;
error?: string;
}

interface Result {
apiToken?: string;
errorMessage?: string;
}

export const getCmsApiToken = unstable_cache(
async (): Promise<Result> => {
try {
const response = await fetch(${CMS_URL}/api/1/access_token, {
headers: CONTENT_TYPE_HEADER,
method: 'POST',
body: JSON.stringify({
apiLogin: CMS_API_KEY,
}),
cache: 'force-cache',
next: { tags: ['cms-api-token', 'menu'] },
});

  if (!response.ok) {
    throw new Error(`HTTP error while fetching CMS API token. Status: ${response.status} ${response.statusText}`);
  }

  const responseData: GetCmsApiTokenResponseData = await response.json();

  if (!responseData.token) {
    throw new Error(`Expected a token in the API response but received: ${JSON.stringify(responseData)}`);
  }

  console.log('[SERVER ACTION - getCmsApiToken] - Success');
  return { apiToken: responseData.token };
} catch (error) {
  console.log(`---- ERROR: [SERVER ACTION - getCmsApiToken] ${error instanceof Error ? error.message : error}`);
  return { errorMessage: 'Ошибка при получении API токена CMS' };
}

},
['cms-api-token', 'menu'],
{
tags: ['cms-api-token', 'menu'],
revalidate: 60 * 59,
}
);

This is next.js action which fetches api token.
Write a test for it using msw and jest

mossy fractalBOT
#

Let me check the knowledge base for you. One moment! :books:

#

To write a test for your getCmsApiToken function using msw and jest, you would first need to set up msw to intercept the fetch requests and return a mock response. Then, you can use jest to write the test and make assertions.

Here's a basic example of how you could write the test:

import { rest } from 'msw';
import { setupServer } from 'msw/node';
import { getCmsApiToken } from './getCmsApiToken'; // adjust the import path as needed

// Set up the mock server
const server = setupServer(
  rest.post(`${process.env.CMS_URL}/api/1/access_token`, (req, res, ctx) => {
    return res(
      ctx.json({
        correlationId: 'test',
        token: 'test-token',
      })
    );
  })
);

beforeAll(() => server.listen());
afterEach(() => server.resetHandlers());
afterAll(() => server.close());

test('getCmsApiToken returns the token', async () => {
  const result = await getCmsApiToken();

  expect(result).toEqual({ apiToken: 'test-token' });
});

test('getCmsApiToken returns an error message if the token is missing', async () => {
  server.use(
    rest.post(`${process.env.CMS_URL}/api/1/access_token`, (req, res, ctx) => {
      return res(
        ctx.json({
          correlationId: 'test',
        })
      );
    })
  );

  const result = await getCmsApiToken();

  expect(result).toEqual({ errorMessage: 'Ошибка при получении API токена CMS' });
});

In this example, msw is set up to intercept the fetch requests to the API and return a mock response. The getCmsApiToken function is then called in the tests, and jest is used to make assertions about the returned result.

Please note that this is a simplified example and might not cover all cases. Depending on your use case, you might need to adjust this example.

#

@graceful cove kapa.ai is still learning and improving, please let us know how it did by reacting below

graceful cove
#

@mossy fractal how to test the revalidation ?
i'd like to simulate 1 hour and check if it is revalidated

mossy fractalBOT
#

Let me check the knowledge base for you. One moment! :books:

#

Testing revalidation, especially with time-based revalidation, can be a bit tricky because it involves waiting for a certain period of time. However, you can use Jest's Timer Mocks to simulate the passage of time in a controlled manner.

Here's a basic example of how you could write the test:

import { getCmsApiToken } from './getCmsApiToken'; // adjust the import path as needed

jest.useFakeTimers();

test('getCmsApiToken revalidates after 1 hour', async () => {
  // Call the function and get the initial result
  const initialResult = await getCmsApiToken();

  // Advance the timers by 1 hour
  jest.advanceTimersByTime(60 * 60 * 1000);

  // Call the function again and get the new result
  const newResult = await getCmsApiToken();

  // Check if the new result is different from the initial result
  // This assertion depends on your specific use case
  expect(newResult).not.toEqual(initialResult);
});

In this example, jest.useFakeTimers() is used to replace the native timer functions with mock functions that can be controlled by Jest. jest.advanceTimersByTime(60 * 60 * 1000) is then used to simulate the passage of 1 hour. The getCmsApiToken function is called before and after advancing the timers, and the results are compared to check if the data was revalidated.

Please note that this is a simplified example and might not cover all cases. Depending on your use case, you might need to adjust this example.

For more information, you can refer to the Jest Timer Mocks Documentation (https://jestjs.io/docs/timer-mocks).

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@graceful cove kapa.ai is still learning and improving, please let us know how it did by reacting below

graceful cove
#

@mossy fractal

import { getMenuData } from '@/actions/cms/getMenuData';
import { ProductListSection } from '@/components/categoryPage/ProductListSection';
import { getCategorySlug } from '@/utils/slugs/getCategorySlug';
import { redirect } from 'next/navigation';

// Return a list of `params` to populate the [category] dynamic segment
export async function generateStaticParams() {
  const { menuData, errorMessage } = await getMenuData();
  if (!menuData) throw new Error(`generateStaticParams is missing the menu data ${errorMessage}`);
  return menuData.mainGroups.map((group) => ({
    categorySlug: getCategorySlug(group),
  }));
}

// Multiple versions of this page will be statically generated
// using the `params` returned by `generateStaticParams`
export default async function Page({ params }: { params: { categorySlug: string } }) {
  const { categorySlug } = params;

  const { menuData } = await getMenuData();
  if (!menuData) redirect('/404');
  const targetCategory = menuData.mainGroups.find((group) => getCategorySlug(group) === categorySlug);
  const targetProducts = menuData.products.filter((product) => product.parentGroup === targetCategory?.id);

  return <ProductListSection targetProducts={targetProducts} categoryName={targetCategory?.name} />;
}

How do I correctly handle errors inside generateStaticParams()? Now it throws an error and the app crashes

mossy fractalBOT
#

Let me check the knowledge base for you. One moment! :books:

#

In your generateStaticParams function, you're currently throwing an error when menuData is not available. This will indeed cause your application to crash as it's not being caught anywhere.

Instead of throwing an error, you could return an empty array when menuData is not available. This will result in no static pages being generated, but it will prevent your application from crashing.

Here's how you could modify your generateStaticParams function:

export async function generateStaticParams() {
  const { menuData, errorMessage } = await getMenuData();

  // If menuData is not available, log the error and return an empty array
  if (!menuData) {
    console.error(`generateStaticParams is missing the menu data ${errorMessage}`);
    return [];
  }

  return menuData.mainGroups.map((group) => ({
    categorySlug: getCategorySlug(group),
  }));
}

In this modified version of the function, console.error is used to log the error message. This will allow you to see the error message in your server logs, but it won't cause your application to crash.

Please note that this is a simple error handling strategy and might not be suitable for all use cases. Depending on your specific requirements, you might need to implement a more sophisticated error handling strategy.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@graceful cove kapa.ai is still learning and improving, please let us know how it did by reacting below

graceful cove
#

@mossy fractal what do i pass to unstable_cache 2nd argument? with example please

mossy fractalBOT
#

Let me check the knowledge base for you. One moment! :books:

#

The second argument you pass to unstable_cache is an array of keyParts. These keyParts are used to construct a globally unique key for the cache entry. This key is crucial for identifying and retrieving the cached data across multiple requests. The keyParts should include values that uniquely identify the data being cached. For example, if you're caching user data, a user ID could be a part of the key.

Here's an example based on the information provided in the extracts:

import { unstable_cache } from 'next/cache';

const getCachedUser = unstable_cache(
  async (id) => getUser(id), // fetchData function
  ['my-app-user'] // keyParts array
);

export default async function Component({ userID }) {
  const user = await getCachedUser(userID);
  ...
}

In this example, ['my-app-user'] is passed as the second argument to unstable_cache. This array is part of the cache key construction. When you call getCachedUser(userID), the userID is also included in the cache key, making the complete key something like my-app-user:userID. This ensures that the cache entry for each user is unique based on their ID.

Remember, the keyParts array should contain values that, when combined with any arguments passed to the cached function, will uniquely identify the cache entry. This is essential for ensuring that the correct data is retrieved from the cache for each request.

For more detailed information, you can refer to the Next.js documentation on unstable_cache, but please note that as of the information provided, there isn't a direct link to the documentation in the extracts.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@graceful cove kapa.ai is still learning and improving, please let us know how it did by reacting below

graceful cove
#

@mossy fractal

'use server';

import { cookies } from 'next/headers';
import { decrypt } from './encryption';
import { SessionData } from './types/SessionData';
import { REVALIDATE_USER_SESSION_INTERVAL, SESSION_COOKIE } from '../../config/auth';
import { unstable_cache } from 'next/cache';

interface GetSessionStateResult {
  authorizationState: 'authorized' | 'not-authorized' | 'code-recieved';
  sessionData?: SessionData;
}

export const getSessionState = unstable_cache(
  async (existentSessionValue?: string): Promise<GetSessionStateResult> => {
    // Retrieve the session cookie value
    const sessionValue = existentSessionValue ? existentSessionValue : cookies().get(SESSION_COOKIE)?.value;

    // If there's no session cookie, return null immediately
    if (!sessionValue) return { authorizationState: 'not-authorized' };

    // Decrypt the session data and return it or null if decryption fails
    // It is important to not just check for the cookie existance but also to decrypt it and check it's real encrypred expiration date
    try {
      const sessionData = await decrypt(sessionValue);
      const phone = sessionData?.phoneNumber;
      const authorizationState = sessionData?.authorized
        ? 'authorized'
        : sessionData?.code
          ? 'code-recieved'
          : 'not-authorized';
      console.log(
        `[SERVER ACTION - getSessionState] - Success | Authorization status: ${authorizationState} ${
          phone ? phone : ''
        }`
      );
      return { authorizationState, sessionData: sessionData || undefined };
    } catch (error) {
      console.log(`[SERVER ACTION - getSessionState] - Fail (unexpected) | Error: ${error}`);
      return { authorizationState: 'not-authorized' };
    }
  },
  ['user-session'],
  {
    revalidate: REVALIDATE_USER_SESSION_INTERVAL,
  }
);

Error: Invariant: incrementalCache missing in unstable_cache async

mossy fractalBOT
#

Let me check the knowledge base for you. One moment! :books:

#

Based on the extracts provided, there isn't a direct solution or explanation for the specific error message "Error: Invariant: incrementalCache missing in unstable_cache async" encountered when using unstable_cache in Next.js. This error suggests an internal issue or misconfiguration related to the unstable_cache function, possibly due to how it's being used or a limitation within the Next.js framework itself at the time of the extracts.

However, I can offer some general advice and steps you might consider to troubleshoot or potentially resolve this issue:

  1. Verify Next.js Version: Ensure you're using a version of Next.js that supports unstable_cache as intended. Since unstable_cache is an experimental feature, its behavior might change between versions. If possible, test with the latest version or the specific version mentioned in any related documentation or community posts.

  2. Review Documentation: Since direct links to unstable_cache documentation were not provided in the extracts, it's advisable to check the official Next.js documentation or GitHub repository for any updates, usage guidelines, or known issues related to unstable_cache.

  3. Check for Typographical Errors: Ensure that the usage of unstable_cache, including its parameters and the structure of the async function passed to it, matches the expected format. Typographical errors or slight deviations in syntax could potentially lead to unexpected errors.

  4. Community and GitHub Issues: Search the Next.js GitHub issues and discussions for similar problems. Sometimes, specific errors or behaviors are discussed and resolved by the community or the Next.js team, providing workarounds or solutions.

#
  1. Simplify the Use Case: Try simplifying the use of unstable_cache to a minimal example to see if the error persists. This can help isolate whether the issue is with the general usage of unstable_cache or something specific to your implementation.

  2. Fallback to Stable Features: If unstable_cache is causing critical issues and no solution is found, consider using alternative, stable features for caching or state management until unstable_cache is more stable or better documented.

Given the experimental nature of unstable_cache, encountering issues or limitations is possible. Engaging with the Next.js community through forums, GitHub, or other channels can also provide additional insights or workarounds.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@graceful cove kapa.ai is still learning and improving, please let us know how it did by reacting below

graceful cove
#

@mossy fractal how to reset unstable_cache between builds?

mossy fractalBOT
#

Let me check the knowledge base for you. One moment! :books:

#

Based on the extracts provided, there isn't specific information on how to reset unstable_cache between builds directly within the context of those extracts. The unstable_cache feature in Next.js is experimental and its documentation or best practices might not be fully detailed in the provided extracts.

However, considering the nature of caching and build processes, here are some general insights that might be relevant:

  • Cache Invalidation by Key: If unstable_cache supports invalidation by key (which is a common feature in many caching solutions), you could programmatically clear specific cache entries by their keys at the beginning of each build. This approach requires knowing the keys or having a predictable pattern for generating them.

  • Build Hooks or Scripts: Some platforms, including Vercel (where Next.js deployments are commonly hosted), allow you to run custom scripts at various stages of the deployment process. If there's a way to interact with unstable_cache through such scripts, you could potentially clear the cache before a new build starts.

  • Manual Intervention: In absence of a built-in method to reset the cache between builds, manual intervention might be necessary. This could involve clearing or resetting the cache storage, depending on where and how unstable_cache stores its data. This approach is less ideal for automated build processes.

  • Environment Variables: Changing an environment variable value between builds could indirectly force unstable_cache to treat cached data as stale, depending on how cache keys are generated. This is more of a workaround and its effectiveness would depend on the internal workings of unstable_cache.

#

Since the provided extracts do not include direct instructions or code examples for resetting unstable_cache between builds, it's recommended to consult the official Next.js documentation, GitHub repository issues, or community forums for more specific guidance or updates related to this feature.

For the most accurate and up-to-date information, visiting the Next.js GitHub repository (https://github.com/vercel/next.js) or the official Next.js documentation (https://nextjs.org/docs) would be advisable.

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#

@graceful cove kapa.ai is still learning and improving, please let us know how it did by reacting below

graceful cove
#

@mossy fractal how to make GET api route dynamic (not cached)?

mossy fractalBOT
#

Let me check the knowledge base for you. One moment! :books:

#

To make a GET API route dynamic (not cached) in Next.js, you can utilize several strategies as outlined in the Next.js documentation extracts provided. Here are the key points summarized with actionable steps:

1. Use the Request Object with the GET Method

By simply using the Request object within your GET method, you can opt out of caching. However, it's important to note that merely passing the Request object is not sufficient; you must also access at least one attribute or function of the request in your code.

// Example of a dynamic GET API route in Next.js
export async function GET(request: Request) {
  const { searchParams } = new URL(request.url);
  const id = searchParams.get('id');
  // Ensure to access the request object, like reading a header or search param
  // Your logic here to handle the request
  return new Response(JSON.stringify({ data: `Data for ${id}` }), {
    headers: { 'Content-Type': 'application/json' },
  });
}

2. Use Dynamic Functions

Dynamic functions like cookies and headers can be used to make your route dynamic. Accessing these functions ensures that your route is evaluated dynamically.

import { cookies } from 'next/headers';

export async function GET() {
  const userCookie = cookies().get('userCookie');
  // Logic to handle the request based on cookie
  return new Response(JSON.stringify({ user: userCookie }), {
    headers: { 'Content-Type': 'application/json' },
  });
}

3. Segment Config Options

You can manually specify dynamic mode using Segment Config Options like dynamic = 'force-dynamic' or revalidate = 0. This approach is more declarative and can be used to explicitly control caching behavior.

#
// Example of segment config options (not directly shown in the extracts)
// This would typically be configured in your route's configuration or documentation

Summary

To ensure your GET API route in Next.js is dynamic and not cached, you can:

  • Make sure to use and access the Request object within your GET function.
  • Utilize dynamic functions such as cookies and headers.
  • Configure your route with Segment Config Options to explicitly opt out of caching.

Since the provided extracts do not include direct links to the documentation or specific code examples for Segment Config Options, it's recommended to consult the official Next.js documentation for the most accurate and detailed information.

Note: you can ask me a follow up question by @ mentioning me again :speech_balloon:

#

@graceful cove kapa.ai is still learning and improving, please let us know how it did by reacting below

graceful cove
#

@mossy fractal how to fetch api route from server action (how to correctly define path)

mossy fractalBOT
#

Let me check the knowledge base for you. One moment! :books:

#

To fetch an API route from a server action in Next.js, you need to correctly define the path to your API endpoint. Based on the information provided in the extracts, here's how you can approach this:

  1. Define Your Server Action: First, ensure your server action is set up correctly. Use the 'use server' directive at the top of your file to indicate that the code is meant to run on the server.

  2. Use Fetch API: Within your server action, use the fetch API to make a request to your API route. The path you define should be relative to the root of your Next.js application if you're calling an internal API route.

Here's an example based on the extracts provided:

'use server';

import { revalidatePath } from 'next/cache';

export default async function submit() {
  await submitForm(); // Your form submission logic
  revalidatePath('/'); // Example of using a Next.js specific function
}

// Example server action to fetch an API route
export async function fetchData() {
  const response = await fetch('/api/my-endpoint'); // Define the correct path to your API route
  const data = await response.json();
  return data;
}

In this example, fetchData is a server action that fetches data from an API route located at /api/my-endpoint. Note that the path is relative to the root of the Next.js application, which is the standard way to reference internal API routes in Next.js.

Important Considerations:

  • Absolute URL for External APIs: If you're fetching data from an external API, you'll need to provide the full URL (e.g., <https://externalapi.com/data>).
  • Environment Variables for Base URLs: For maintainability and to support different environments (development, production), consider using environment variables to store the base URL of your API.
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Remember, the code provided here is based on the information from the extracts and serves as a general guide. Adjustments may be needed based on your specific project setup and requirements.

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