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Bash (sed) 脚本直接从命令行运行，但不能通过 watch 运行

tag-icon • tag-icon bash command-line sed watch
Bash (sed) 脚本直接从命令行运行，但不能通过 watch 运行

我有以下脚本来监视一些正在运行的进程：

$ cat ./print_running.sh 
#!/bin/bash
ps aux | grep  'python energydata.py' | sed -r 's/\{"spectral": 0//;s/, "pp_enable.*y": 0.9,//;s/ "consumer.*ressure": 0.15,//; s/ "gamma.*//'

当我从终端运行它时，我得到如下输出：

user 27994 37.6  1.0 706712 125148 pts/19  R    15:46   0:46 python energydata.py , "l_max": 0.25 "level_flexibility": 5, "pi": 0.6489865, "z_input": 0.4450386,
user 28138 37.9  1.0 706716 124852 pts/19  R    15:47   0:32 python energydata.py , "l_max": 0.75 "level_flexibility": 5, "pi": 0.3928358, "z_input": 0.4836933,
user 28255 38.2  1.0 706716 125004 pts/19  R    15:47   0:12 python energydata.py , "l_max": 0.5 "level_flexibility": 5, "pi": 0.4088101, "z_input": 0.5011101,
user 28267 38.5  1.0 706712 125152 pts/19  R    15:47   0:13 python energydata.py , "l_max": 0.75 "level_flexibility": 5, "pi": 0.5223562, "z_input": 0.4416432,
user 28287 39.3  1.0 706712 125084 pts/19  R    15:48   0:10 python energydata.py , "l_max": 0.5 "level_flexibility": 5, "pi": 0.1073945, "z_input": 0.6377535,
user 28291 39.1  1.0 706708 124824 pts/19  R    15:48   0:10 python energydata.py , "l_max": 0.5 "level_flexibility": 5, "pi": -0.0572559, "z_input": 0.746638,
user 28305 38.9  1.0 706708 124812 pts/19  R    15:48   0:07 python energydata.py , "l_max": 0.5 "level_flexibility": 5, "pi": 0.2459162, "z_input": 0.5575399,
user 28328 38.9  1.0 706716 124836 pts/19  R    15:48   0:03 python energydata.py , "l_max": 0.5 "level_flexibility": 5, "pi": 0.7709965, "z_input": 0.3985181,
user 28329 41.1  1.0 706712 125020 pts/19  R    15:48   0:04 python energydata.py , "l_max": 0.75 "level_flexibility": 5, "pi": 0.6900067, "z_input": 0.3973544,
user 28365  0.0  0.0  14232  1092 pts/2    S+   15:48   0:00 grep python energydata.py

但是当我运行命令来watch实时监控输出时，sed fildering 似乎无法正常工作。输出如下：

$ watch ./print_running.sh
user 28427 38.2  1.0 706712 125128 pts/19  R    15:49   0:38 python energydata.py , "l_max": 0.75, "pp_enable": 0.0, "number_of_runs": 1, "profit": 0.0, "consumers_data": {"24": [[63,
user 28445 37.7  1.0 706716 124844 pts/19  R    15:49   0:35 python energydata.py , "l_max": 0.5, "pp_enable": 0.0, "number_of_runs": 1, "profit": 0.0, "consumers_data": {"24": [[63, 7
user 28511 38.0  1.0 706712 124820 pts/19  R    15:50   0:18 python energydata.py , "l_max": 0.5, "pp_enable": 0.0, "number_of_runs": 1, "profit": 0.0, "consumers_data": {"24": [[63, 7
user 28519 38.5  1.0 706716 124528 pts/19  R    15:50   0:18 python energydata.py , "l_max": 0.75, "pp_enable": 0.0, "number_of_runs": 1, "profit": 0.0, "consumers_data": {"24": [[63,
user 28533 39.2  1.0 706712 125348 pts/19  R    15:50   0:15 python energydata.py , "l_max": 0.5, "pp_enable": 0.0, "number_of_runs": 1, "profit": 0.0, "consumers_data": {"24": [[63, 7
user 28546 38.0  1.0 706708 125392 pts/19  R    15:50   0:14 python energydata.py , "l_max": 0.5, "pp_enable": 0.0, "number_of_runs": 1, "profit": 0.0, "consumers_data": {"24": [[63, 7
user 28576 38.4  1.0 706716 125100 pts/19  R    15:50   0:09 python energydata.py , "l_max": 0.5, "pp_enable": 0.0, "number_of_runs": 1, "profit": 0.0, "consumers_data": {"24": [[63, 7
user 28605 39.4  1.0 706712 125152 pts/19  R    15:50   0:07 python energydata.py , "l_max": 0.75, "pp_enable": 0.0, "number_of_runs": 1, "profit": 0.0, "consumers_data": {"24": [[63,
user 28609 37.4  1.0 706716 124868 pts/19  R    15:50   0:07 python energydata.py , "l_max": 0.5, "pp_enable": 0.0, "number_of_runs": 1, "profit": 0.0, "consumers_data": {"24": [[63, 7
user 28675 40.2  1.0 706456 124760 pts/19  R    15:50   0:01 python energydata.py , "l_max": 0.25, "pp_enable": 0.0, "number_of_runs": 1, "profit": 0.0, "consumers_data": {"24": [[63,
user 28689  0.0  0.0  14232   972 pts/2    S+   15:50   0:00 grep python energydata.py

问题是当使用watch参数列表时不会出现过滤，因此我无法监视我感兴趣的参数。

问题：

  • 是什么原因导致直接执行脚本或通过脚本执行时输出存在差异watch？
  • 如何更新脚本以便在所有情况下都有所需的输出？

更新：

不使用 sed 命令的完整输出ps aux如下所示：

user 32381 24.5  0.7 523028 90816 pts/19   R    16:19   0:00 python energydata.py {"spectral": 0, "l_max": 0.75, "pp_enable": 0.0, "number_of_runs": 1, "profit": 0.0, "consumers_data": {"24": [[63, 73]], "25": [[64, 74]], "26": [[65, 75]], "27": [[66, 76]], "20": [[59, 69]], "21": [[60, 70]], "22": [[61, 71]], "23": [[62, 72]], "28": [[67, 77]], "29": [[68, 78]], "4": [[43, 53]], "8": [[47, 57]], "59": [[66, 76]], "58": [[65, 75]], "55": [[62, 72]], "54": [[61, 71]], "57": [[64, 74]], "56": [[63, 73]], "51": [[58, 68]], "50": [[57, 67]], "53": [[60, 70]], "52": [[59, 69]], "88": [[64, 74]], "89": [[65, 75]], "82": [[57, 67]], "83": [[58, 68]], "80": [[55, 65]], "81": [[56, 66]], "86": [[61, 71]], "87": [[63, 73]], "84": [[59, 69]], "85": [[60, 70]], "3": [[42, 52]], "7": [[46, 56]], "100": [[62, 72]], "39": [[46, 56]], "38": [[45, 55]], "33": [[40, 50]], "32": [[71, 81]], "31": [[70, 80]], "30": [[69, 79]], "37": [[44, 54]], "36": [[43, 53]], "35": [[42, 52]], "34": [[41, 51]], "60": [[67, 77]], "61": [[68, 78]], "62": [[69, 79]], "63": [[70, 80]], "64": [[71, 81]], "65": [[40, 50]], "66": [[41, 51]], "67": [[42, 52]], "68": [[43, 53]], "69": [[44, 54]], "2": [[41, 51]], "6": [[45, 55]], "99": [[43, 53]], "98": [[42, 52]], "91": [[67, 77]], "90": [[66, 76]], "93": [[69, 79]], "92": [[68, 78]], "95": [[71, 81]], "94": [[70, 80]], "97": [[41, 51]], "96": [[40, 50]], "11": [[50, 60]], "10": [[49, 59]], "13": [[52, 62]], "12": [[51, 61]], "15": [[54, 64]], "14": [[53, 63]], "17": [[56, 66]], "16": [[55, 65]], "19": [[58, 68]], "18": [[57, 67]], "48": [[55, 65]], "49": [[56, 66]], "46": [[53, 63]], "47": [[54, 64]], "44": [[51, 61]], "45": [[52, 62]], "42": [[49, 59]], "43": [[50, 60]], "40": [[47, 57]], "41": [[48, 58]], "1": [[40, 50]], "5": [[44, 54]], "9": [[48, 58]], "77": [[52, 62]], "76": [[51, 61]], "75": [[50, 60]], "74": [[49, 59]], "73": [[48, 58]], "72": [[47, 57]], "71": [[46, 56]], "70": [[45, 55]], "79": [[54, 64]], "78": [[53, 63]]}, "weight_flexibility": 0.9, "level_flexibility": 5, "consumer_ids": ["100", "99", "98", "97", "96", "95", "94", "93", "92", "91", "90", "89", "88", "87", "86", "85", "84", "83", "82", "81", "80", "79", "78", "77", "76", "75", "74", "73", "72", "71", "70", "69", "68", "67", "66", "65", "64", "63", "62", "61", "60", "59", "58", "57", "56", "55", "54", "53", "52", "51", "50", "49", "48", "47", "46", "45", "44", "43", "42", "41", "40", "39", "38", "37", "36", "35", "34", "33", "32", "31", "30", "29", "28", "27", "26", "25", "24", "23", "22", "21", "20", "19", "18", "17", "16", "15", "14", "13", "12", "11", "10", "9", "8", "7", "6", "5", "4", "3", "2", "1"], "weight_friendship": 0.1, "select_algorithm": [4], "number_of_clusters": 100, "max_pressure": 0.15, "pi": 0.3606668, "z_input": 0.4976814, "gamma": 1.0, "cost": 0.02} 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答案1

ps看起来它与 in 时截断输出有关watch，请参阅手表在连接时会切断 ps aux 输出以获得详细的解释。

解决方案是手动指定 的列宽ps，然后它甚至可以在 内部工作watch：

#!/bin/bash
COLUMNS=2000000 ps aux | grep  'python energydata.py' | sed -r 's/\{"spectral": 0//;s/, "pp_enable.*y": 0.9,//;s/ "consumer.*ressure": 0.15,//; s/ "gamma.*//'

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