[Slack] Running into rate limit error for Org with high number of users.

[jhasubhash]

Extension

https://www.raycast.com/mommertf/slack

Raycast Version

1.85.2

macOS Version

No response

Description

It looks like this extension is making the api requests to get the coomplete list of the contacts in segments. But there is seems to be no cool off period between making these requests leading to rate limit error.
It can be fixed by adding a delay if there is a rate limit error thrown and retry it after that delay instead of throwin error to the user.

Steps To Reproduce

• Install the extension
• Click on Open Channel
• The page shows loading animation for some time and then this error is thrown.

Note: My org has over users : 3k , channels: 19.5k

Current Behaviour

No response

Expected Behaviour

No response

[raycastbot]

Thank you for opening this issue!

🔔 @momme-rtf @Elliot67 @jfkisafk @thomaslombart @RobErskine you might want to have a look.

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[Elliot67]

Hi thanks for the report, looks like the same issue as #14113.
There is currently no fix in development, feel free to contribute if you can.

@raycastbot close this issue

[jhasubhash]

Sure, I will raise a PR shortly

[jhasubhash]

This code base is huge. This is the solution. I hope someone with code setup locally can add it.

export const FetchUsers = async (
  access_token,
  maxRetries = 3,
  retryDelay = 1000,
) => {
  const params = { limit: 999999 };
  const users = await fetchDataWithRetry(
    access_token,
    "https://slack.com/api/users.list",
    params,
    maxRetries,
    retryDelay,
  );
  return users;
};

export const FetchChannels = async (
  access_token,
  maxRetries = 3,
  retryDelay = 1000,
) => {
  const params = {
    limit: 999999,
    types: "private_channel,public_channel",
    exclude_archived: true,
  };
  const channels = await fetchDataWithRetry(
    access_token,
    "https://slack.com/api/conversations.list",
    params,
    maxRetries,
    retryDelay,
  );
  return channels;
};

// Helper function to fetch data with retry and pagination
const fetchDataWithRetry = async (
  access_token,
  url,
  params,
  maxRetries,
  retryDelay,
  updateCb,
) => {
  let dataList = [];
  let cursor = "";
  let attempt = 0;

  while (true) {
    try {
      const response = await axios.get(url, {
        headers: { Authorization: `Bearer ${access_token}` },
        params: { ...params, cursor },
      });

      const data = response.data;
      if (!data.ok) {
        throw new Error(`Failed to fetch data: ${data.error}`);
      }

      attempt = 0;
      const newData = data.members || data.channels;
      dataList = dataList.concat(newData);

      // Optional: Update the list incrementally and not block the user till the complete list is loaded
     if (updateCb)  updateCb(dataList);

      if (data.response_metadata && data.response_metadata.next_cursor) {
        cursor = data.response_metadata.next_cursor;
      } else {
        break;
      }
    } catch (err) {
      if (err.response && err.response.status === 429) {
        // Rate limit error
        const retryAfter =
          err.response.headers["retry-after"] || retryDelay / 1000; // Use retry-after header if available
        error(`Rate limited. Retrying after ${retryAfter} seconds...`);

        if (attempt < maxRetries) {
          attempt++;
          await new Promise((resolve) =>
            setTimeout(resolve, retryAfter * 1000),
          );
        } else {
          throw new Error("Max retries exceeded.");
        }
      } else {
        // Other errors
        throw err;
      }
    }
  }

  return dataList;
};