Question

Snakemake允许使用log参数为每个规则创建日志，该参数指定日志文件的名称。将结果从shell输出到此日志是相对简单的，但是我无法找出一种记录run输出（即python脚本）输出的方法。

一种解决方法是将python代码保存在脚本中，然后从shell运行它，但是我想知道是否还有另一种方法？

Answer 1

我有一些同时使用log和run指令的规则。在run指令中，我“手动”打开并写入日志文件。

例如：

rule compute_RPM:
    input:
        counts_table = source_small_RNA_counts,
        summary_table = rules.gather_read_counts_summaries.output.summary_table,
        tags_table = rules.associate_small_type.output.tags_table,
    output:
        RPM_table = OPJ(
            annot_counts_dir,
            "all_{mapped_type}_on_%s" % genome, "{small_type}_RPM.txt"),
    log:
        log = OPJ(log_dir, "compute_RPM_{mapped_type}", "{small_type}.log"),
    benchmark:
        OPJ(log_dir, "compute_RPM_{mapped_type}", "{small_type}_benchmark.txt"),
    run:
        with open(log.log, "w") as logfile:
            logfile.write(f"Reading column counts from {input.counts_table}\n")
            counts_data = pd.read_table(
                input.counts_table,
                index_col="gene")
            logfile.write(f"Reading number of non-structural mappers from {input.summary_table}\n")
            norm = pd.read_table(input.summary_table, index_col=0).loc["non_structural"]
            logfile.write(str(norm))
            logfile.write("Computing counts per million non-structural mappers\n")
            RPM = 1000000 * counts_data / norm
            add_tags_column(RPM, input.tags_table, "small_type").to_csv(output.RPM_table, sep="\t")

对于写入stdout的第三方代码，也许redirect_stdout上下文管理器可能会有所帮助（在https://stackoverflow.com/a/40417352/1878788中找到，请参见 https://docs.python.org/3/library/contextlib.html#contextlib.redirect_stdout。

测试snakefile，test_run_log.snakefile：

from contextlib import redirect_stdout

rule all:
    input:
        "test_run_log.txt"

rule test_run_log:
    output:
        "test_run_log.txt"
    log:
        "test_run_log.log"
    run:
        with open(log[0], "w") as log_file:
            with redirect_stdout(log_file):
                print(f"Writing result to {output[0]}")
                with open(output[0], "w") as out_file:
                    out_file.write("result\n")

运行它：

$ snakemake -s test_run_log.snakefile

结果：

$ cat test_run_log.log 
Writing result to test_run_log.txt
$ cat test_run_log.txt 
result

Answer 2

我的解决方法如下。这对于常规日志和带回溯的日志记录异常都非常有用。然后，您可以将记录器设置包装到一个函数中，以使其更有条理。虽然不是很漂亮。如果snakemake能够自己做到，那就更好了。

import logging

# some stuff

rule logging_test:
    input: 'input.json'
    output: 'output.json'
    log: 'rules_logs/logging_test.log'
    run:
        logger = logging.getLogger('logging_test')
        fh = logging.FileHandler(str(log))
        fh.setLevel(logging.INFO)
        formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
        fh.setFormatter(formatter)
        logger.addHandler(fh)

        try: 
            logger.info('Starting operation!')
            # do something
            with open(str(output), 'w') as f:
                f.write('success!')
            logger.info('Ended!')
        except Exception as e: 
            logger.error(e, exc_info=True)

snakemake：使用run指令时如何实现log指令？

2 个答案: