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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def export(id, local=False, scrub_pii=False):
 """Export data from an experiment."""


    print("Preparing to export the data...")

    if local:
        db_uri = db.db_url
    else:
        db_uri = HerokuApp(id).db_uri

    # Create the data package if it doesn't already exist.
    subdata_path = os.path.join("data", id, "data")
    try:
        os.makedirs(subdata_path)

    except OSError as e:
        if e.errno != errno.EEXIST or not os.path.isdir(subdata_path):
            raise

    # Copy in the data.
    copy_db_to_csv(db_uri, subdata_path, scrub_pii=scrub_pii)

    # Copy the experiment code into a code/ subdirectory.
    try:
        shutil.copyfile(
            os.path.join("snapshots", id + "-code.zip"),
            os.path.join("data", id, id + "-code.zip"),
        )

    except Exception:
        pass

    # Copy in the DATA readme.
    # open(os.path.join(id, "README.txt"), "a").close()

    # Save the experiment id.
    with open(os.path.join("data", id, "experiment_id.md"), "a+") as file:
        file.write(id)

    # Zip data
    src = os.path.join("data", id)
    dst = os.path.join("data", id + "-data.zip")
    archive_data(id, src, dst)

    cwd = os.getcwd()
    data_filename = "{}-data.zip".format(id)
    path_to_data = os.path.join(cwd, "data", data_filename)

    # Backup data on S3 unless run locally
    if not local:
        bucket = user_s3_bucket()
        bucket.upload_file(path_to_data, data_filename)
        url = _generate_s3_url(bucket, data_filename)

        # Register experiment UUID with dallinger
        register(id, url)

    return path_to_data