import time


def pagenated_epc_download(client, params, page_size, n_pages, verbose=0, slowdown=0.1):
    offset_from = 0
    n_completed = 0
    results = []
    complete = False
    while not complete:
        if verbose:
            print("Pulling for page %s" % str(int(offset_from / page_size) + 1))
        time.sleep(slowdown)
        search_resp = client.domestic.search(params=params, offset_from=offset_from, size=page_size)

        # Note: We can only make 10k queries for a single set of search queries.
        # It might make sense to download data via zip for machine learning since we don't need this
        # data to be perfectly up to date
        if not search_resp:
            break

        n_completed += 1

        results.extend(search_resp["rows"])
        if n_completed == n_pages:
            complete = True
        else:
            offset_from += page_size

    return results