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使用xargs将输入文件参数重定向到bash命令

xargs pipe bash

1

loretoparisi · 技术社区 · 8 年前

我有一个python命令(我无法修改),它将文件作为输入并输出结果:

  $ echo '{"sentence": "Did Uriah honestly think he could beat The Legend of Zelda in under three hours?"}' > examples.jsonl
  $ python -m allennlp.run predict https://s3-us-west-2.amazonaws.com/allennlp/models/ner-model-2018.02.12.tar.gz examples.jsonl

用法如下:

usage: python -m allennlp.run [command] predict [-h]
                                                [--output-file OUTPUT_FILE]
                                                [--weights-file WEIGHTS_FILE]
                                                [--batch-size BATCH_SIZE]
                                                [--silent]
                                                [--cuda-device CUDA_DEVICE]
                                                [-o OVERRIDES]
                                                [--include-package INCLUDE_PACKAGE]
                                                [--predictor PREDICTOR]
                                                archive_file input_file

有办法进去吗 bash 直接将输入重定向到此命令,而不是回显到文件?命令似乎不支持 pipe 顺便说一句,来自stdin,因此以下将不起作用:

$ echo '{"sentence": "Did Uriah honestly think he could beat The Legend of Zelda in under three hours?"}' | python -m allennlp.run predict https://s3-us-west-2.amazonaws.com/allennlp/models/ner-model-2018.02.12.tar.gz

我试过使用 xargs 但我不知道该怎么处理 input_file 参数

2 回复 | 直到 8 年前

1

3

mncl 8 年前

创建临时文件描述符,该描述符在命令退出时释放。它将在大多数程序上工作,并替换文件的参数。

<(echo hello)

实例

grep h <(echo hello)


python -m allennlp.run predict https://s3-us-west-2.amazonaws.com/allennlp/models/ner-model-2018.02.12.tar.gz  <( echo '{"sentence": "Did Uriah honestly think he could beat The Legend of Zelda in under three hours?"}' > examples.jsonl )

2

1

Ole Tange 8 年前

如果 allennlp 需要一个文件(即不能简单地从/dev/stdin读取),那么这将起作用:

echo '{"sentence": "Did Uriah honestly think he could beat The Legend of Zelda in under three hours?"}' | 
  parallel --pipe -N1 --cat python -m allennlp.run predict https://s3-us-west-2.amazonaws.com/allennlp/models/ner-model-2018.02.12.tar.gz {}

如果要运行多个 allennlp公司 输入不同:

(echo '{"sentence": "Did Uriah honestly think he could beat The Legend of Zelda in under three hours?"}';
 echo '{"sentence": "its insatiable appetite is tempered by its fear of light."}';
 echo '{"sentence": "You were eaten by a grue"}';) |
  parallel --pipe -N1 --cat python -m allennlp.run predict https://s3-us-west-2.amazonaws.com/allennlp/models/ner-model-2018.02.12.tar.gz {}