pipeline/codes/run_wdl.py

import argparse
import json
import os
import subprocess
import time

import pandas as pd


def get_branch_nodes(graph, start_node):
    def dfs(node):
        if node not in visited:
            visited.add(node)
            branch_nodes.add(node)
            for neighbor in graph[node]:
                dfs(neighbor)

    branch_nodes = set()
    visited = set()
    for split_start_node in start_node.split(','):
        dfs(split_start_node.strip())
    return branch_nodes


def get_catecode(project, start_node='addQc'):
    needcode = ['addQc', 'addAlignment', 'addTarget', 'addFusion', 'addCnv', 'addMsi', 'addChemo', 'addHcs',
                'addAutoReport', 'addTmb', 'addPollution', 'addNeoantigen']
    dag = {
        'addQc': ['addAlignment'],
        'addAlignment': ['addTarget', 'addFusion', 'addCnv', 'addMsi', 'addNeoantigen'],
        'addTarget': ['addChemo', 'addHcs', 'addTmb', 'addPollution'],
        'addFusion': ['addAutoReport'],
        'addCnv': ['addAutoReport'],
        'addMsi': ['addAutoReport'],
        'addChemo': ['addAutoReport'],
        'addHcs': ['addAutoReport'],
        'addTmb': ['addAutoReport'],
        'addPollution': ['addAutoReport'],
        'addNeoantigen': ['addAutoReport'],
        'addAutoReport': []
    }

    runcode = get_branch_nodes(dag, start_node)
    public = os.environ.get('DATABASE')
    path = os.path.join(public, 'info.csv')
    info = pd.read_csv(path)
    project = info[info['project'] == project]['CateCode']
    catecode = project.values[0].split(';') if not project.empty else []

    catecode.extend(['addQc', 'addAlignment', 'addAutoReport', 'addPollution'])
    cate_dict = dict()
    for ele in needcode:
        if ele in runcode and ele in catecode:
            cate_dict[ele] = True
        else:
            cate_dict[ele] = False

    return cate_dict


def run(barcode, normal, umi, input_dir, output_dir, project, cancer, probe, wdl, start_node):
    input_dir = os.path.realpath(input_dir)
    output_dir = os.path.realpath(output_dir)
    wdl = os.path.realpath(wdl)
    catecodes = get_catecode(project, start_node=start_node)

    arg = {
        "pipeline.tumor": barcode,
        "pipeline.normal": normal,
        "pipeline.umi": umi,
        "pipeline.input_dir": input_dir,
        "pipeline.output_dir": output_dir,
        "pipeline.project": project,
        "pipeline.cancer": cancer,
        "pipeline.probe": probe,
        "pipeline.catecode": catecodes

    }

    arg = {key: value for key, value in arg.items() if value not in (None, '', False)}

    # generate json
    jsfile_path = os.path.join(output_dir, f'{barcode}.json')
    with open(jsfile_path, 'w') as jsfile:
        jsfile.write(json.dumps(arg, indent=4, ensure_ascii=False))

    # run pipeline
    # cmd1 = 'export PATH=/home/zhangchao/project/pipeline/workflow/script:$PATH'
    # cmd2 = 'export PUBLIC=/home/zhangchao/project/pipeline/workflow/script/public'
    cmd3 = f'cd {output_dir}'

    # f'{"-Dcall-caching.enabled=false " if uncache else ""}'
    # f'-Dconfig.file=/home/zhangchao/project/pipeline/workflow/script/cromwell.examples.conf ' \

    cmd4 = f'/usr/bin/java -jar $WORKFLOW/software/cromwell-51.jar run --inputs {jsfile_path} {wdl}'
    # cmd = f'{cmd1}; {cmd2}; {cmd3}; {cmd4}'
    cmd = f'{cmd3}; {cmd4}'

    # 记录开始时间
    start_time = time.time()
    print(cmd)
    ret = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, encoding="utf-8")
    pidnum = ret.pid
    with open(os.path.join(output_dir, 'pid'), 'w') as pidfile:
        pidfile.write(str(pidnum))
    ret.wait()
    # 记录结束时间
    end_time = time.time()
    # 计算运行时间
    elapsed_time = end_time - start_time

    print("\n运行时间：{:.2f} 秒".format(elapsed_time))

    print(ret.stdout.read(), ret.stderr.read())
    print('#' * 50)
    print('读取日志')


if __name__ == '__main__':
    parser = argparse.ArgumentParser(description="JM to run pipeline")

    parser.add_argument('-n', '--barcode', help="sample's barcode", required=True)
    parser.add_argument('-s', '--normal', help="sample's normal", default='', required=False, nargs='?')
    parser.add_argument('-u', '--umi', action='store_true', help="is umi sample", default=False)
    parser.add_argument('-i', '--input_dir', help="sample's input_dir/workdir", required=True)
    parser.add_argument('-o', '--output_dir', help="Output directory, default ./", default='./')
    parser.add_argument('-p', '--project', help="project", required=True)
    parser.add_argument('-c', '--cancer', help="cancer", required=True)
    parser.add_argument('-b', '--probe', help="probe, 682, 624, 160, 17 for now ", required=True)
    parser.add_argument('-w', '--wdl', help="wdl", default='/home/zhangchao/project/pipeline/workflow/pipeline.wdl')
    parser.add_argument('-node', '--start_node',
                        help="node begain to run; 'addQc', 'addAlignment', "
                             "'addTarget', 'addFusion', 'addCnv', 'addMsi', 'addChemo',"
                             " 'addHcs, 'addTmb', 'addNeoantigen', 'addPollution', addAutoReport' "
                             "and also run more than one node ,"
                             "like this 'addTarget,addFusion'",
                        default='addQc')
    args = parser.parse_args()

    run(args.barcode, args.normal, args.umi, args.input_dir, args.output_dir,
        args.project, args.cancer, args.probe, args.wdl, args.start_node)