splitAndProcess.java

public List<TokenDateDistributionDto> splitAndProcess(List<TokenDateDistributionDto> dataList) {
    // Get the size of the data list
    int dataSize = dataList.size();

    // Determine the number of parts based on the size of the data list
    int numParts;

    // Choose the number of parts based on the size of the data list
    if (dataSize > 21 && dataSize < 180) {
        numParts = dataSize / 7; // If the size is between 21 and 180, split into 7 parts
    } else if (dataSize >= 180 && dataSize < 1000) {
        numParts = dataSize / 30; // If the size is between 180 and 1000, split into 30 parts
    } else if (dataSize >=1000) {
        numParts = dataSize / 360; // If the size is 1000 or more, split into 360 parts
    } else {
        return dataList; // Return the original data list if none of the conditions are met
    }

    // Calculate the size of each part
    int partSize = dataSize / numParts;
    if (dataSize % numParts != 0) {
        partSize++; // Adjust for remainder
    }

    // Create a list to store the processed data
    List<TokenDateDistributionDto> processedList = new ArrayList<>();

    // Process each part
    for (int i = 0; i < dataSize; i += partSize) {
        int endIndex = Math.min(i + partSize, dataSize);
        List<TokenDateDistributionDto> part = dataList.subList(i, endIndex);

        // Concatenate dates and sum total counts for the part
        String startDate = part.get(0).getDate();
        String endDate = part.get(part.size() - 1).getDate();
        int totalTokens = 0;
        for (TokenDateDistributionDto dto : part) {
            totalTokens += dto.getTotalCount();
        }

        // Create a new TokenDateDistributionDto object for the processed part
        processedList.add(new TokenDateDistributionDto(startDate + " - " + endDate, totalTokens));
    }

    // Return the processed data list
    return processedList;
}