從 dict bash var 的值創建新的 bash var

Question

我的環境創建了一個如下所示的變量：

SM_TRAINING_ENV={"additional_framework_parameters":{},"channel_input_dirs":{"training":"/opt/ml/input/data/training"},"current_host":"algo-1","framework_module":"sagemaker_tensorflow_container.training:main","hosts":["algo-1"],"hyperparameters":{"bool_param":true,"float_param":1.25,"int_param":5,"model_dir":"s3://bucket/detection/prefix/testing-2019-04-06-02-24-20-194/model","str_param":"bla"},"input_config_dir":"/opt/ml/input/config","input_data_config":{"training":{"RecordWrapperType":"None","S3DistributionType":"FullyReplicated","TrainingInputMode":"File"}},"input_dir":"/opt/ml/input","is_master":true,"job_name":"testing-2019-04-06-02-24-20-194","log_level":20,"master_hostname":"algo-1","model_dir":"/opt/ml/model","module_dir":"s3://bucket/prefix/testing-2019-04-06-02-24-20-194/source/sourcedir.tar.gz","module_name":"launcher.sh","network_interface_name":"ethwe","num_cpus":8,"num_gpus":1,"output_data_dir":"/opt/ml/output/data","output_dir":"/opt/ml/output","output_intermediate_dir":"/opt/ml/output/intermediate","resource_config":{"current_host":"algo-1","hosts":["algo-1"],"network_interface_name":"ethwe"},"user_entry_point":"launcher.sh"}

Ed Morton編輯：根據下面的 OP 評論，這就是他試圖在上面將其描述為示例輸入的內容：

$ SM_TRAINING_ENV='{"additional_framework_parameters":{},"channel_input_dirs":{"training":"/opt/ml/input/data/training"},"current_host":"algo-1","framework_module":"sagemaker_tensorflow_container.training:main","hosts":["algo-1"],"hyperparameters":{"bool_param":true,"float_param":1.25,"int_param":5,"model_dir":"s3://bucket/detection/prefix/testing-2019-04-06-02-24-20-194/model","str_param":"bla"},"input_config_dir":"/opt/ml/input/config","input_data_config":{"training":{"RecordWrapperType":"None","S3DistributionType":"FullyReplicated","TrainingInputMode":"File"}},"input_dir":"/opt/ml/input","is_master":true,"job_name":"testing-2019-04-06-02-24-20-194","log_level":20,"master_hostname":"algo-1","model_dir":"/opt/ml/model","module_dir":"s3://bucket/prefix/testing-2019-04-06-02-24-20-194/source/sourcedir.tar.gz","module_name":"launcher.sh","network_interface_name":"ethwe","num_cpus":8,"num_gpus":1,"output_data_dir":"/opt/ml/output/data","output_dir":"/opt/ml/output","output_intermediate_dir":"/opt/ml/output/intermediate","resource_config":{"current_host":"algo-1","hosts":["algo-1"],"network_interface_name":"ethwe"},"user_entry_point":"launcher.sh"}'

$ echo "$SM_TRAINING_ENV"
{"additional_framework_parameters":{},"channel_input_dirs":{"training":"/opt/ml/input/data/training"},"current_host":"algo-1","framework_module":"sagemaker_tensorflow_container.training:main","hosts":["algo-1"],"hyperparameters":{"bool_param":true,"float_param":1.25,"int_param":5,"model_dir":"s3://bucket/detection/prefix/testing-2019-04-06-02-24-20-194/model","str_param":"bla"},"input_config_dir":"/opt/ml/input/config","input_data_config":{"training":{"RecordWrapperType":"None","S3DistributionType":"FullyReplicated","TrainingInputMode":"File"}},"input_dir":"/opt/ml/input","is_master":true,"job_name":"testing-2019-04-06-02-24-20-194","log_level":20,"master_hostname":"algo-1","model_dir":"/opt/ml/model","module_dir":"s3://bucket/prefix/testing-2019-04-06-02-24-20-194/source/sourcedir.tar.gz","module_name":"launcher.sh","network_interface_name":"ethwe","num_cpus":8,"num_gpus":1,"output_data_dir":"/opt/ml/output/data","output_dir":"/opt/ml/output","output_intermediate_dir":"/opt/ml/output/intermediate","resource_config":{"current_host":"algo-1","hosts":["algo-1"],"network_interface_name":"ethwe"},"user_entry_point":"launcher.sh"}

如何創建一個等於SM_TRAINING_ENV["hyperparameters"]["model_dir"]值的新 bash 變量？

為了完整echo ${SM_TRAINING_ENV} | jq . ，我嘗試了一些簡單的事情，比如echo ${SM_TRAINING_ENV} | jq . echo ${SM_TRAINING_ENV} | jq . 並且我嘗試過的一切都不斷出錯。

編輯：我被告知這個值不是一個合適的 json，所以重新表述這個問題。 我認為環境將它設置為 python 字典的值，所以jq似乎不可用。 刪除了json標簽。 也許這是awk的工作？

如果我假設結構不會隨正則表達式模式s3.*?model ，但不確定如何將正則表達式模式設置為新變量，看起來我可以匹配我想要的值。

Answer 1

首先，您需要引用 JSON 值，以便在值中包含雙引號。

SM_TRAINING_ENV='{"additional_framework_parameters":{},"channel_input_dirs":{"training":"/opt/ml/input/data/training"},"current_host":"algo-1","framework_module":"sagemaker_tensorflow_container.training:main","hosts":["algo-1"],"hyperparameters":{"bool_param":true,"float_param":1.25,"int_param":5,"model_dir":"s3://bucket/detection/prefix/testing-2019-04-06-02-24-20-194/model","str_param":"bla"},"input_config_dir":"/opt/ml/input/config","input_data_config":{"training":{"RecordWrapperType":"None","S3DistributionType":"FullyReplicated","TrainingInputMode":"File"}},"input_dir":"/opt/ml/input","is_master":true,"job_name":"testing-2019-04-06-02-24-20-194","log_level":20,"master_hostname":"algo-1","model_dir":"/opt/ml/model","module_dir":"s3://bucket/prefix/testing-2019-04-06-02-24-20-194/source/sourcedir.tar.gz","module_name":"launcher.sh","network_interface_name":"ethwe","num_cpus":8,"num_gpus":1,"output_data_dir":"/opt/ml/output/data","output_dir":"/opt/ml/output","output_intermediate_dir":"/opt/ml/output/intermediate","resource_config":{"current_host":"algo-1","hosts":["algo-1"],"network_interface_name":"ethwe"},"user_entry_point":"launcher.sh"}'

然后您可以使用jq實用程序來提取您想要的值。

new_var=$(echo "$SM_TRAINING_ENV" | jq '.hyperparameters.model_dir')

Answer 2

這並不是真正的索引，但如果順序始終相同，它就可以工作：

NEW_VAR=$(echo $SM_TRAINING_ENV | egrep -o s3.*?model | head -1)

雖然更喜歡不依賴於訂單的東西。