| class AmaContext(object): |
| |
| def __init__(self, sc, spark, job_id, env): |
| self.sc = sc |
| self.spark = spark |
| self.job_id = job_id |
| self.env = env |
| |
| def get_dataframe(self, action_name, dataset_name, format = "parquet"): |
| return self.spark.read.format(format).load(str(self.env.working_dir) + "/" + self.job_id + "/" + action_name + "/" + dataset_name) |
| |
| class Environment(object): |
| |
| def __init__(self, name, master, input_root_path, output_root_path, working_dir, configuration): |
| self.name = name |
| self.master = master |
| self.input_root_path = input_root_path |
| self.output_root_path = output_root_path |
| self.working_dir = working_dir |
| self.configuration = configuration |
