我们正在从Eventhub和AppInsight收集数据，并将其存储在天蓝色的blob中。通过使用AzureML管道，我想通过两种不同的逻辑将我的数据集传递到train.py中（一种用于ml，另一种用于欺诈分析）。
但是我无法从train.py内部读取csv文件进行进一步处理
这是我的train.py，它通过Azure机器学习管道中的PythonScriptStep运行
import argparse
import os
import pandas as pd
print("In train.py")
parser = argparse.ArgumentParser("train")
parser.add_argument("--input_data", type=str, help="input data")
parser.add_argument("--output_train", type=str, help="output_train directory")
args = parser.parse_args()
print("Argument 1: %s" % args.input_data)
df = pd.read_csv(args.input_data)
print(df.head())
print("Argument 2: %s" % args.output_train)
if not (args.output_train is None):
os.makedirs(args.output_train, exist_ok=True)
print("%s created" % args.output_train)
这是运行管道的代码
ws = Workspace.from_config()
def_blob_store = Datastore(ws, "basic_data_store")
aml_compute_target = "test-cluster"
try:
aml_compute = AmlCompute(ws, aml_compute_target)
print("found existing compute target.")
except ComputeTargetException:
print("Error")
source_directory = './train'
blob_input_data = DataReference(
datastore=def_blob_store,
data_reference_name="device_data",
path_on_datastore="_fraud_data/test.csv")
trainStep = PythonScriptStep(
script_name="train.py",
arguments=["--input_data", blob_input_data, "--output_train", processed_data1],
inputs=[blob_input_data],
outputs=[processed_data1],
compute_target=aml_compute,
source_directory=source_directory,
runconfig=run_config
)
pipeline1 = Pipeline(workspace=ws, steps=[compareStep])
pipeline_run1 = Experiment(ws, 'Data_dependency').submit(pipeline1)
在输出跟踪的下方，您可以看到输出
Argument 1正在打印文件的路径Argument 1: /mnt/batch/tasks/shared/LS_root/jobs/pipeline-shohoz/azureml/d92be2ab-e63f-4883-a14b-a64fa5bb431d/mounts/basic_data_store/_fraud_data/test.csv因此，我已成功传递数据集，但无法读取
pd.read_csv(args.input_data)行中train.py内部的文件。它显示FileNotFoundError: [Errno 2] File b'/mnt/batch/tasks/shared/LS_root/jobs/pipeline-shohoz/azureml/d92be2ab-e63f-4883-a14b-a64fa5bb431d/mounts/basic_data_store/_fraud_data/test.csv'这是我从azureml日志中下载的
70_driver_log.txt的完整跟踪，Preparing to call script [ train.py ] with arguments: ['--input_data', '/mnt/batch/tasks/shared/LS_root/jobs/pipeline-shohoz/azureml/d92be2ab-e63f-4883-a14b-a64fa5bb431d/mounts/basic_data_store/_fraud_data/test.csv', '--output_train', '/mnt/batch/tasks/shared/LS_root/jobs/pipeline-shohoz/azureml/d92be2ab-e63f-4883-a14b-a64fa5bb431d/mounts/basic_data_store/azureml/d92be2ab-e63f-4883-a14b-a64fa5bb431d/processed_data1']
After variable expansion, calling script [ train.py ] with arguments: ['--input_data', '/mnt/batch/tasks/shared/LS_root/jobs/pipeline-shohoz/azureml/d92be2ab-e63f-4883-a14b-a64fa5bb431d/mounts/basic_data_store/_fraud_data/test.csv', '--output_train', '/mnt/batch/tasks/shared/LS_root/jobs/pipeline-shohoz/azureml/d92be2ab-e63f-4883-a14b-a64fa5bb431d/mounts/basic_data_store/azureml/d92be2ab-e63f-4883-a14b-a64fa5bb431d/processed_data1']
In train.py
Argument 1: /mnt/batch/tasks/shared/LS_root/jobs/pipeline-shohoz/azureml/d92be2ab-e63f-4883-a14b-a64fa5bb431d/mounts/basic_data_store/_fraud_data/test.csv
The experiment failed. Finalizing run...
Cleaning up all outstanding Run operations, waiting 300.0 seconds
1 items cleaning up...
Cleanup took 0.001172780990600586 seconds
Starting the daemon thread to refresh tokens in background for process with pid = 136
Traceback (most recent call last):
File "train.py", line 18, in <module>
df = pd.read_csv(args.input_data) #str()
File "/azureml-envs/azureml_eb042e80b9a6abdb5821a78683153a38/lib/python3.6/site-packages/pandas/io/parsers.py", line 685, in parser_f
return _read(filepath_or_buffer, kwds)
File "/azureml-envs/azureml_eb042e80b9a6abdb5821a78683153a38/lib/python3.6/site-packages/pandas/io/parsers.py", line 457, in _read
parser = TextFileReader(fp_or_buf, **kwds)
File "/azureml-envs/azureml_eb042e80b9a6abdb5821a78683153a38/lib/python3.6/site-packages/pandas/io/parsers.py", line 895, in __init__
self._make_engine(self.engine)
File "/azureml-envs/azureml_eb042e80b9a6abdb5821a78683153a38/lib/python3.6/site-packages/pandas/io/parsers.py", line 1135, in _make_engine
self._engine = CParserWrapper(self.f, **self.options)
File "/azureml-envs/azureml_eb042e80b9a6abdb5821a78683153a38/lib/python3.6/site-packages/pandas/io/parsers.py", line 1917, in __init__
self._reader = parsers.TextReader(src, **kwds)
File "pandas/_libs/parsers.pyx", line 382, in pandas._libs.parsers.TextReader.__cinit__
File "pandas/_libs/parsers.pyx", line 689, in pandas._libs.parsers.TextReader._setup_parser_source
FileNotFoundError: [Errno 2] File b'/mnt/batch/tasks/shared/LS_root/jobs/pipeline-shohoz/azureml/d92be2ab-e63f-4883-a14b-a64fa5bb431d/mounts/basic_data_store/_fraud_data/test.csv' does not exist: b'/mnt/batch/tasks/shared/LS_root/jobs/pipeline-shohoz/azureml/d92be2ab-e63f-4883-a14b-a64fa5bb431d/mounts/basic_data_store/_fraud_data/test.csv'
我已经尝试过相对路径
azureml/8d2b7bee-6cc5-4c8c-a685-1300a240de8f/mounts/basic_data_store/_fraud_data/test.csv还有乌里
wasbs://[email protected]/azureml/azureml/8d2b7bee-6cc5-4c8c-a685-1300a240de8f/mounts/basic_data_store/_fraud_data/test.csv但以相同的
FileNotFoundError结果结束。我过去3-4天都在墙上撞头。任何帮助都会拯救我的大脑。 最佳答案
您可以使用PipelineDataset对象在PythonScriptStep中包含已注册的数据集-有关更多详细信息和示例，请参见https://docs.microsoft.com/en-us/python/api/azureml-pipeline-core/azureml.pipeline.core.pipelinedataset?view=azure-ml-py。