From b82f3918670cb66be654f1c1d7d9272e95bb389f Mon Sep 17 00:00:00 2001 From: yongninglei Date: Mon, 8 Jul 2024 11:38:29 +0200 Subject: [PATCH 01/15] updated package structure --- .../example_lc_config.yaml} | 0 .../{0.3.tlei => 0.4.0}/subSesList.txt | 0 old_lc/__init__.py | 16 + old_lc/launch.py | 685 ++++++++++++++ old_lc/prepare_inputs/__init__.py | 15 + {src => old_lc}/prepare_inputs/_version.py | 0 .../prepare_inputs/check_parser.py | 0 .../prepare_inputs/dask_scheduler_config.py | 0 old_lc/prepare_inputs/prepare.py | 391 ++++++++ old_lc/prepare_inputs/prepare_dwi.py | 789 ++++++++++++++++ {src => old_lc}/prepare_inputs/prepare_prf.py | 0 {src => old_lc}/prepare_inputs/utils.py | 0 src/__init__.py | 16 - src/dask_scheduler_config.py | 141 +++ src/generate_command.py | 207 ++++ src/launch.py | 883 ++++++------------ src/prepare_inputs/__init__.py | 15 - src/prepare_inputs/prepare.py | 86 +- src/prepare_inputs/prepare_dwi.py | 25 +- src/pyfunc/__init__.py | 0 src/pyfunc/l1_glm.py | 601 ++++++++++++ src/utils.py | 260 ++++++ 22 files changed, 3448 insertions(+), 682 deletions(-) rename example_configs/{0.3.tlei/new_lc_config.yaml => 0.4.0/example_lc_config.yaml} (100%) rename example_configs/{0.3.tlei => 0.4.0}/subSesList.txt (100%) create mode 100755 old_lc/__init__.py create mode 100755 old_lc/launch.py create mode 100755 old_lc/prepare_inputs/__init__.py rename {src => old_lc}/prepare_inputs/_version.py (100%) rename {src => old_lc}/prepare_inputs/check_parser.py (100%) rename {src => old_lc}/prepare_inputs/dask_scheduler_config.py (100%) create mode 100755 old_lc/prepare_inputs/prepare.py create mode 100755 old_lc/prepare_inputs/prepare_dwi.py rename {src => old_lc}/prepare_inputs/prepare_prf.py (100%) rename {src => old_lc}/prepare_inputs/utils.py (100%) mode change 100755 => 100644 src/__init__.py create mode 100755 src/dask_scheduler_config.py create mode 100644 src/generate_command.py mode change 100755 => 100644 src/prepare_inputs/__init__.py create mode 100644 src/pyfunc/__init__.py create mode 100644 src/pyfunc/l1_glm.py create mode 100755 src/utils.py diff --git a/example_configs/0.3.tlei/new_lc_config.yaml b/example_configs/0.4.0/example_lc_config.yaml similarity index 100% rename from example_configs/0.3.tlei/new_lc_config.yaml rename to example_configs/0.4.0/example_lc_config.yaml diff --git a/example_configs/0.3.tlei/subSesList.txt b/example_configs/0.4.0/subSesList.txt similarity index 100% rename from example_configs/0.3.tlei/subSesList.txt rename to example_configs/0.4.0/subSesList.txt diff --git a/old_lc/__init__.py b/old_lc/__init__.py new file mode 100755 index 0000000..e2dee03 --- /dev/null +++ b/old_lc/__init__.py @@ -0,0 +1,16 @@ + + +""" +MIT License + +Copyright (c) 2020-2023 Garikoitz Lerma-Usabiaga +Copyright (c) 2020-2022 Mengxing Liu +Copyright (c) 2022-2023 Leandro Lecca +Copyright (c) 2022-2023 Yongning Lei +Copyright (c) 2023 David Linhardt +Copyright (c) 2023 Iñigo Tellaetxe + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. +""" \ No newline at end of file diff --git a/old_lc/launch.py b/old_lc/launch.py new file mode 100755 index 0000000..a3e6144 --- /dev/null +++ b/old_lc/launch.py @@ -0,0 +1,685 @@ +# -*- coding: utf-8 -*- +""" +MIT License + +Copyright (c) 2020-2024 Garikoitz Lerma-Usabiaga +Copyright (c) 2020-2022 Mengxing Liu +Copyright (c) 2022-2024 Leandro Lecca +Copyright (c) 2022-2024 Yongning Lei +Copyright (c) 2023 David Linhardt +Copyright (c) 2023 Iñigo Tellaetxe + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. +""" +import os +import os.path as op +import subprocess as sp +from subprocess import Popen +import numpy as np +import logging +import math + +# modules in lc + +from bids import BIDSLayout +from dask.distributed import progress + +from prepare_inputs import dask_scheduler_config as dsq +from prepare_inputs import prepare as prepare +from prepare_inputs import utils as do + +logger = logging.getLogger("Launchcontainers") + + +# %% launchcontainers +def generate_cmd( + lc_config, sub, ses, ananlysis_dir, lst_container_specific_configs, run_lc +): + """Puts together the command to send to the container. + + Args: + lc_config (str): _description_ + sub (str): _description_ + ses (str): _description_ + ananlysis_dir (str): _description_ + lst_container_specific_configs (list): _description_ + run_lc (str): _description_ + + Raises: + ValueError: Raised in presence of a faulty config.yaml file, or when the formed command is not recognized. + + Returns: + _type_: _description_ + """ + + # Relevant directories + # All other relevant directories stem from this one + basedir = lc_config["general"]["basedir"] + + homedir = os.path.join(basedir, "singularity_home") + container = lc_config["general"]["container"] + host = lc_config["general"]["host"] + containerdir = lc_config["general"]["containerdir"] + + # Information relevant to the host and container + jobqueue_config = lc_config["host_options"][host] + version = lc_config["container_specific"][container]["version"] + use_module = jobqueue_config["use_module"] + bind_options = jobqueue_config["bind_options"] + + # Location of the Singularity Image File (.sif) + container_name = os.path.join(containerdir, f"{container}_{version}.sif") + # Define the directory and the file name to output the log of each subject + logdir = os.path.join(ananlysis_dir, "sub-" + sub, "ses-" + ses, "output", "log") + logfilename = f"{logdir}/t-{container}-sub-{sub}_ses-{ses}" + + path_to_sub_derivatives = os.path.join(ananlysis_dir, f"sub-{sub}", f"ses-{ses}") + + bind_cmd = "" + for bind in bind_options: + bind_cmd += f"--bind {bind}:{bind} " + + env_cmd = "" + if host == "local": + if use_module == True: + env_cmd = f"module load {jobqueue_config['apptainer']} &&" + + if container in ["anatrois", "rtppreproc", "rtp-pipeline"]: + logger.info("\n" + "start to generate the DWI PIPELINE command") + logger.debug( + f"\n the sub is {sub} \n the ses is {ses} \n the analysis dir is {ananlysis_dir}" + ) + + cmd = ( + f"{env_cmd} singularity run -e --no-home {bind_cmd}" + f"--bind {path_to_sub_derivatives}/input:/flywheel/v0/input:ro " + f"--bind {path_to_sub_derivatives}/output:/flywheel/v0/output " + f"--bind {path_to_sub_derivatives}/output/log/config.json:/flywheel/v0/config.json " + f"{container_name} 1>> {logfilename}.o 2>> {logfilename}.e " + ) + + if container == "freesurferator": + logger.info("\n" + "FREESURFERATOR command") + logger.debug( + f"\n the sub is {sub} \n the ses is {ses} \n the analysis dir is {ananlysis_dir}" + ) + + cmd = ( + f"{env_cmd} apptainer run --containall --pwd /flywheel/v0 {bind_cmd}" + f"--bind {path_to_sub_derivatives}/input:/flywheel/v0/input:ro " + f"--bind {path_to_sub_derivatives}/output:/flywheel/v0/output " + f"--bind {path_to_sub_derivatives}/work:/flywheel/v0/work " + f"--bind {path_to_sub_derivatives}/output/log/config.json:/flywheel/v0/config.json " + f"--env PATH=/opt/freesurfer/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/freesurfer/fsfast/bin:/opt/freesurfer/tktools:/opt/freesurfer/mni/bin:/sbin:/bin:/opt/ants/bin " + f"--env LANG=C.UTF-8 " + f"--env GPG_KEY=E3FF2839C048B25C084DEBE9B26995E310250568 " + f"--env PYTHON_VERSION=3.9.15 " + f"--env PYTHON_PIP_VERSION=22.0.4 " + f"--env PYTHON_SETUPTOOLS_VERSION=58.1.0 " + f"--env PYTHON_GET_PIP_URL=https://github.com/pypa/get-pip/raw/66030fa03382b4914d4c4d0896961a0bdeeeb274/public/get-pip.py " + f"--env PYTHON_GET_PIP_SHA256=1e501cf004eac1b7eb1f97266d28f995ae835d30250bec7f8850562703067dc6 " + f"--env FLYWHEEL=/flywheel/v0 " + f"--env ANTSPATH=/opt/ants/bin/ " + f"--env FREESURFER_HOME=/opt/freesurfer " + f"--env FREESURFER=/opt/freesurfer " + f"--env DISPLAY=:50.0 " + f"--env FS_LICENSE=/flywheel/v0/work/license.txt " + f"--env OS=Linux " + f"--env FS_OVERRIDE=0 " + f"--env FSF_OUTPUT_FORMAT=nii.gz " + f"--env MNI_DIR=/opt/freesurfer/mni " + f"--env LOCAL_DIR=/opt/freesurfer/local " + f"--env FSFAST_HOME=/opt/freesurfer/fsfast " + f"--env MINC_BIN_DIR=/opt/freesurfer/mni/bin " + f"--env MINC_LIB_DIR=/opt/freesurfer/mni/lib " + f"--env MNI_DATAPATH=/opt/freesurfer/mni/data " + f"--env FMRI_ANALYSIS_DIR=/opt/freesurfer/fsfast " + f"--env PERL5LIB=/opt/freesurfer/mni/lib/perl5/5.8.5 " + f"--env MNI_PERL5LIB=/opt/freesurfer/mni/lib/perl5/5.8.5 " + f"--env XAPPLRESDIR=/opt/freesurfer/MCRv97/X11/app-defaults " + f"--env MCR_CACHE_ROOT=/flywheel/v0/output " + f"--env MCR_CACHE_DIR=/flywheel/v0/output/.mcrCache9.7 " + f"--env FSL_OUTPUT_FORMAT=nii.gz " + f"--env ANTS_VERSION=v2.4.2 " + f"--env QT_QPA_PLATFORM=xcb " + f"--env PWD=/flywheel/v0 " + f"{container_name} " + f"-c python run.py 1> {logfilename}.o 2> {logfilename}.e " + ) + + if container == "rtp2-preproc": + logger.info("\n" + "rtp2-preprc command") + logger.debug( + f"\n the sub is {sub} \n the ses is {ses} \n the analysis dir is {ananlysis_dir}" + ) + + cmd = ( + f"{env_cmd} apptainer run --containall --pwd /flywheel/v0 {bind_cmd}" + f"--bind {path_to_sub_derivatives}/input:/flywheel/v0/input:ro " + f"--bind {path_to_sub_derivatives}/output:/flywheel/v0/output " + # f"--bind {path_to_sub_derivatives}/work:/flywheel/v0/work " + f"--bind {path_to_sub_derivatives}/output/log/config.json:/flywheel/v0/config.json " + f"--env FLYWHEEL=/flywheel/v0 " + f"--env LD_LIBRARY_PATH=/opt/fsl/lib: " + f"--env FSLWISH=/opt/fsl/bin/fslwish " + f"--env FSLTCLSH=/opt/fsl/bin/fsltclsh " + f"--env FSLMULTIFILEQUIT=TRUE " + f"--env FSLOUTPUTTYPE=NIFTI_GZ " + f"--env FSLDIR=/opt/fsl " + f"--env FREESURFER_HOME=/opt/freesurfer " + f"--env ARTHOME=/opt/art " + f"--env ANTSPATH=/opt/ants/bin " + f"--env PYTHON_GET_PIP_SHA256=1e501cf004eac1b7eb1f97266d28f995ae835d30250bec7f8850562703067dc6 " + f"--env PYTHON_GET_PIP_URL=https://github.com/pypa/get-pip/raw/66030fa03382b4914d4c4d0896961a0bdeeeb274/public/get-pip.py " + f"--env PYTHON_PIP_VERSION=22.0.4 " + f"--env PYTHON_VERSION=3.9.15 " + f"--env GPG_KEY=E3FF2839C048B25C084DEBE9B26995E310250568 " + f"--env LANG=C.UTF-8 " + f"--env PATH=/opt/mrtrix3/bin:/opt/ants/bin:/opt/art/bin:/opt/fsl/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin " + f"--env PYTHON_SETUPTOOLS_VERSION=58.1.0 " + f"--env DISPLAY=:50.0 " + f"--env QT_QPA_PLATFORM=xcb " + f"--env FS_LICENSE=/opt/freesurfer/license.txt " + f"--env PWD=/flywheel/v0 " + f"{container_name} " + f"-c python run.py 1> {logfilename}.o 2> {logfilename}.e " + ) + + if container == "rtp2-pipeline": + logger.info("\n" + "rtp2-pipeline command") + logger.debug( + f"\n the sub is {sub} \n the ses is {ses} \n the analysis dir is {ananlysis_dir}" + ) + + cmd = ( + f"{env_cmd} apptainer run --containall --pwd /flywheel/v0 {bind_cmd}" + f"--bind {path_to_sub_derivatives}/input:/flywheel/v0/input:ro " + f"--bind {path_to_sub_derivatives}/output:/flywheel/v0/output " + # f"--bind {path_to_sub_derivatives}/work:/flywheel/v0/work " + f"--bind {path_to_sub_derivatives}/output/log/config.json:/flywheel/v0/config.json " + f"--env PATH=/opt/mrtrix3/bin:/opt/ants/bin:/opt/art/bin:/opt/fsl/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin " + f"--env LANG=C.UTF-8 " + f"--env GPG_KEY=E3FF2839C048B25C084DEBE9B26995E310250568 " + f"--env PYTHON_VERSION=3.9.15 " + f"--env PYTHON_PIP_VERSION=22.0.4 " + f"--env PYTHON_SETUPTOOLS_VERSION=58.1.0 " + f"--env PYTHON_GET_PIP_URL=https://github.com/pypa/get-pip/raw/66030fa03382b4914d4c4d0896961a0bdeeeb274/public/get-pip.py " + f"--env PYTHON_GET_PIP_SHA256=1e501cf004eac1b7eb1f97266d28f995ae835d30250bec7f8850562703067dc6 " + f"--env ANTSPATH=/opt/ants/bin " + f"--env ARTHOME=/opt/art " + f"--env FREESURFER_HOME=/opt/freesurfer " + f"--env FSLDIR=/opt/fsl " + f"--env FSLOUTPUTTYPE=NIFTI_GZ " + f"--env FSLMULTIFILEQUIT=TRUE " + f"--env FSLTCLSH=/opt/fsl/bin/fsltclsh " + f"--env FSLWISH=/opt/fsl/bin/fslwish " + f"--env LD_LIBRARY_PATH=/opt/mcr/v99/runtime/glnxa64:/opt/mcr/v99/bin/glnxa64:/opt/mcr/v99/sys/os/glnxa64:/opt/mcr/v99/extern/bin/glnxa64:/opt/fsl/lib: " + f"--env FLYWHEEL=/flywheel/v0 " + f"--env TEMPLATES=/templates " + f"--env XAPPLRESDIR=/opt/mcr/v99/X11/app-defaults " + f"--env MCR_CACHE_FOLDER_NAME=/flywheel/v0/output/.mcrCache9.9 " + f"--env MCR_CACHE_ROOT=/flywheel/v0/output " + f"--env MRTRIX_TMPFILE_DIR=/flywheel/v0/output/tmp " + f"--env PWD=/flywheel/v0 " + f"{container_name} " + f"-c python run.py 1> {logfilename}.o 2> {logfilename}.e " + ) + + # Check which container we are using, and define the command accordingly + if container == "fmriprep": + logger.info("\n" + f"start to generate the FMRIPREP command") + + nthreads = lc_config["container_specific"][container]["nthreads"] + mem = lc_config["container_specific"][container]["mem"] + fs_license = lc_config["container_specific"][container]["fs_license"] + containerdir = lc_config["general"]["containerdir"] + container_path = os.path.join( + containerdir, + f"{container}_{lc_config['container_specific'][container]['version']}.sif", + ) + precommand = f"mkdir -p {homedir}; " f"unset PYTHONPATH; " + if "local" == host: + cmd = ( + precommand + f"singularity run " + f"-H {homedir} " + f"-B {basedir}:/base -B {fs_license}:/license " + f"--cleanenv {container_path} " + f"-w {ananlysis_dir} " + f"/base/BIDS {ananlysis_dir} participant " + f"--participant-label sub-{sub} " + f"--skip-bids-validation " + f"--output-spaces func fsnative fsaverage T1w MNI152NLin2009cAsym " + f"--dummy-scans 0 " + f"--use-syn-sdc " + f"--fs-license-file /license/license.txt " + f"--nthreads {nthreads} " + f"--omp-nthreads {nthreads} " + f"--stop-on-first-crash " + f"--mem_mb {(mem*1000)-5000} " + ) + if host in ["BCBL", "DIPC"]: + cmd = ( + precommand + f"singularity run " + f"-H {homedir} " + f"-B {basedir}:/base -B {fs_license}:/license " + f"--cleanenv {container_path} " + f"-w {ananlysis_dir} " + f"/base/BIDS {ananlysis_dir} participant " + f"--participant-label sub-{sub} " + f"--skip-bids-validation " + f"--output-spaces func fsnative fsaverage T1w MNI152NLin2009cAsym " + f"--dummy-scans 0 " + f"--use-syn-sdc " + f"--fs-license-file /license/license.txt " + f"--nthreads {nthreads} " + f"--omp-nthreads {nthreads} " + f"--stop-on-first-crash " + f"--mem_mb {(mem*1000)-5000} " + ) + + if container in ["prfprepare", "prfreport", "prfanalyze-vista"]: + config_name = lc_config["container_specific"][container]["config_name"] + homedir = os.path.join(basedir, "singularity_home") + container_path = os.path.join( + containerdir, + f"{container}_{lc_config['container_specific'][container]['version']}.sif", + ) + if host in ["BCBL", "DIPC"]: + cmd = ( + "unset PYTHONPATH; " + f"singularity run " + f"-H {homedir} " + f"-B {basedir}/derivatives/fmriprep:/flywheel/v0/input " + f"-B {ananlysis_dir}:/flywheel/v0/output " + f"-B {basedir}/BIDS:/flywheel/v0/BIDS " + f"-B {ananlysis_dir}/{config_name}.json:/flywheel/v0/config.json " + f"-B {basedir}/license/license.txt:/opt/freesurfer/.license " + f"--cleanenv {container_path} " + ) + elif host == "local": + cmd = ( + "unset PYTHONPATH; " + f"singularity run " + f"-H {homedir} " + f"-B {basedir}/derivatives/fmriprep:/flywheel/v0/input " + f"-B {ananlysis_dir}:/flywheel/v0/output " + f"-B {basedir}/BIDS:/flywheel/v0/BIDS " + f"-B {ananlysis_dir}/{config_name}.json:/flywheel/v0/config.json " + f"-B {basedir}/license/license.txt:/opt/freesurfer/.license " + f"--cleanenv {container_path} " + ) + # If after all configuration, we do not have command, raise an error + if cmd is None: + logger.error( + "\n" + + f"the DWI PIPELINE command is not assigned, please check your config.yaml[general][host] session\n" + ) + raise ValueError("cmd is not defined, aborting") + + # GLU: I don't think this is right, run is done below, I will make it work just for local but not in here, + # it is good that this function just creates the cmd, I would keep it like that + if run_lc: + return(sp.run(cmd, shell = True)) + else: + return cmd + # sp.run(cmd, shell=True) + #return cmd + + +# %% the launchcontainer +def launchcontainer( + ananlysis_dir, + lc_config, + sub_ses_list, + parser_namespace, + path_to_analysis_container_specific_config +): + """ + This function launches containers generically in different Docker/Singularity HPCs + This function is going to assume that all files are where they need to be. + + Args: + ananlysis_dir (str): _description_ + lc_config (str): path to launchcontainer config.yaml file + sub_ses_list (_type_): parsed CSV containing the subject list to be analyzed, and the analysis options + parser_namespace (argparse.Namespace): command line arguments + """ + logger.info("\n" + "#####################################################\n") + + # Get the host and jobqueue config info from the config.yaml file + host = lc_config["general"]["host"] + jobqueue_config = lc_config["host_options"][host] + if host == "local": + launch_mode = jobqueue_config["launch_mode"] + logger.debug(f"\n,, this is the job_queue config {jobqueue_config}") + + force = lc_config["general"]["force"] + logdir = os.path.join(ananlysis_dir, "daskworker_log") + + # Count how many jobs we need to launch from sub_ses_list + n_jobs = np.sum(sub_ses_list.RUN == "True") + + run_lc = parser_namespace.run_lc + + lc_configs = [] + subs = [] + sess = [] + dir_analysiss = [] + paths_to_analysis_config_json = [] + run_lcs = [] + # PREPARATION mode + if not run_lc: + logger.critical( + f"\nlaunchcontainers.py was run in PREPARATION mode (without option --run_lc)\n" + f"Please check that: \n" + f" (1) launchcontainers.py prepared the input data properly\n" + f" (2) the command created for each subject is properly formed\n" + f" (you can copy the command for one subject and launch it " + f"on the prompt before you launch multiple subjects\n" + f" (3) Once the check is done, launch the jobs by adding --run_lc to the first command you executed.\n" + ) + # If the host is not local, print the job script to be launched in the cluster. + if host != "local" or (host == "local" and launch_mode == "dask_worker"): + client, cluster = create_cluster_client(jobqueue_config, n_jobs, logdir) + if host != "local": + logger.critical( + f"The cluster job script for this command is:\n" + f"{cluster.job_script()}" + ) + elif host == "local" and launch_mode == "dask_worker": + logger.critical( + f"The cluster job script for this command is:\n" + f"{cluster}" + ) + # Iterate over the provided subject list + commands = list() + for row in sub_ses_list.itertuples(index=True, name="Pandas"): + sub = row.sub + ses = row.ses + RUN = row.RUN + dwi = row.dwi + + if RUN == "True": + # Append config, subject, session, and path info in corresponding lists + lc_configs.append(lc_config) + subs.append(sub) + sess.append(ses) + dir_analysiss.append(ananlysis_dir) + paths_to_analysis_config_json.append( + path_to_analysis_container_specific_config[0] + ) + run_lcs.append(run_lc) + + # This cmd is only for print the command + command = generate_cmd( + lc_config, + sub, + ses, + ananlysis_dir, + path_to_analysis_container_specific_config, + False # set to False to print the command + ) + commands.append(command) + if not run_lc: + logger.critical( + f"\nCOMMAND for subject-{sub}, and session-{ses}:\n" + f"{command}\n\n" + ) + + if not run_lc and lc_config["general"]["container"] == "fmriprep": + logger.critical( + f"\n" + f"fmriprep now can not deal with session specification, " + f"so the analysis are running on all sessions of the " + f"subject you are specifying" + ) + + # RUN mode + if run_lc and host != "local": + run_dask( + jobqueue_config, + n_jobs, + logdir, + lc_configs, + subs, + sess, + dir_analysiss, + paths_to_analysis_config_json, + run_lcs + ) + + if run_lc and host == "local": + if launch_mode == "parallel": + k = 0 + njobs = jobqueue_config["njobs"] + if njobs == "" or njobs is None: + njobs = 2 + steps = math.ceil(len(commands)/njobs) + logger.critical( + f"\nLocally launching {len(commands)} jobs in parallel every {njobs} jobs " + f"in {steps} steps, check your server's memory, some jobs might fail\n" + ) + for stp in range(steps): + if stp == range(steps)[-1] and (k+njobs) <= len(commands): + selected_commands = commands[k:len(commands)] + else: + selected_commands = commands[k:k+njobs] + logger.critical( + f"JOBS in step {stp+1}:\n{selected_commands}\n" + ) + procs = [ Popen(i, shell=True) for i in selected_commands ] + for p in procs: + p.wait() + k = k+njobs + + elif launch_mode == "dask_worker": + logger.critical( + f"\nLocally launching {len(commands)} jobs with dask-worker, " + f" keep an eye on your server's memory\n" + ) + run_dask( + jobqueue_config, + n_jobs, + logdir, + lc_configs, + subs, + sess, + dir_analysiss, + paths_to_analysis_config_json, + run_lcs + ) + elif launch_mode == "serial": # Run this with dask... + logger.critical( + f"Locally launching {len(commands)} jobs in series, this might take a lot of time" + ) + serial_cmd = "" + for i, cmd in enumerate(commands): + if i == 0: + serial_cmd = cmd + else: + serial_cmd += f" && {cmd}" + logger.critical( + f"LAUNCHING SUPER SERIAL {len(commands)} JOBS:\n{serial_cmd}\n" + ) + sp.run(serial_cmd, shell=True) + + return + +def create_cluster_client(jobqueue_config, n_jobs, logdir): + client, cluster = dsq.dask_scheduler(jobqueue_config, n_jobs, logdir) + return client, cluster + +def run_dask( + jobqueue_config, + n_jobs, + logdir, + lc_configs, + subs, + sess, + dir_analysiss, + paths_to_analysis_config_json, + run_lcs + ): + + client, cluster = create_cluster_client(jobqueue_config, n_jobs, logdir) + logger.info( + "---this is the cluster and client\n" + f"{client} \n cluster: {cluster} \n" + ) + print(subs) + print(sess) + # Compose the command to run in the cluster + futures = client.map( + generate_cmd, + lc_configs, + subs, + sess, + dir_analysiss, + paths_to_analysis_config_json, + run_lcs + ) + # Record the progress + progress(futures) + # Get the info and report it in the logger + results = client.gather(futures) + logger.info(results) + logger.info("###########") + # Close the connection with the client and the cluster, and inform about it + client.close() + cluster.close() + + logger.critical("\n" + "launchcontainer finished, all the jobs are done") + #return client, cluster + + + +# %% main() +def main(): + parser_namespace,parse_dict = do.get_parser() + download_configs=parser_namespace.download_configs + # Check if download_configs argument is provided + if download_configs: + # Ensure the directory exists + if not os.path.exists(download_configs): + os.makedirs(download_configs) + + # Use the mocked version function for testing + launchcontainers_version = do.get_mocked_launchcontainers_version() + + if launchcontainers_version is None: + raise ValueError("Unable to determine launchcontainers version.") + do.download_configs(launchcontainers_version, download_configs) + else: + # Proceed with normal main functionality + print("Executing main functionality with arguments") + # Your main function logic here + # e.g., launch_container(args.other_arg) + # read ymal and setup the launchcontainer program + + lc_config_path = parser_namespace.lc_config + lc_config = do.read_yaml(lc_config_path) + + run_lc = parser_namespace.run_lc + verbose = parser_namespace.verbose + debug = parser_namespace.debug + + + # Get general information from the config.yaml file + basedir=lc_config["general"]["basedir"] + bidsdir_name=lc_config["general"]["bidsdir_name"] + containerdir=lc_config["general"]["containerdir"] + container=lc_config["general"]["container"] + analysis_name=lc_config["general"]["analysis_name"] + host=lc_config["general"]["host"] + force=lc_config["general"]["force"] + print_command_only=lc_config["general"]["print_command_only"] + log_dir=lc_config["general"]["log_dir"] + log_filename=lc_config["general"]["log_filename"] + + version = lc_config["container_specific"][container]["version"] + # get stuff from subseslist for future jobs scheduling + sub_ses_list_path = parser_namespace.sub_ses_list + sub_ses_list,num_of_true_run = do.read_df(sub_ses_list_path) + + + if log_dir=="analysis_dir": + log_dir=op.join(basedir,bidsdir_name,'derivatives',f'{container}_{version}',f"analysis-{analysis_name}") + + do.setup_logger(print_command_only,verbose, debug, log_dir, log_filename) + + # logger the settings + + if host == "local": + njobs = lc_config["host_options"][host]["njobs"] + if njobs == "" or njobs is None: + njobs = 2 + launch_mode = lc_config["host_options"]["local"]["launch_mode"] + valid_options = ["serial", "parallel","dask_worker"] + if launch_mode in valid_options: + host_str = ( + f"{host}, and commands will be launched in {launch_mode} mode " + f"every {njobs} jobs. " + f"Serial is safe but it will take longer. " + f"If you launch in parallel be aware that some of the " + f"processes might be killed if the limit (usually memory) " + f"of the machine is reached. " + ) + else: + do.die( + f"local:launch_mode {launch_mode} was passed, valid options are {valid_options}" + ) + + logger.critical( + "\n" + + "#####################################################\n" + + f"Successfully read the config file {lc_config_path} \n" + + f"SubsesList is read, there are {num_of_true_run} jobs needed to be launched" + + f'Basedir is: {lc_config["general"]["basedir"]} \n' + + f'Container is: {container}_{lc_config["container_specific"][container]["version"]} \n' + + f"Host is: {host_str} \n" + + f'analysis folder is: {lc_config["general"]["analysis_name"]} \n' + + f"##################################################### \n" + ) + + logger.info("Reading the BIDS layout...") + + # Prepare file and launch containers + # First of all prepare the analysis folder: it create you the analysis folder automatically so that you are not messing up with different analysis + ananlysis_dir, dict_store_cs_configs = ( + prepare.prepare_analysis_folder(parser_namespace, lc_config) + ) + + layout = BIDSLayout(os.path.join(basedir, bidsdir_name)) + logger.info("finished reading the BIDS layout.") + path_to_analysis_container_specific_config=dict_store_cs_configs['config_path'] + # Prepare mode + if container in [ + "anatrois", + "rtppreproc", + "rtp-pipeline", + "freesurferator", + "rtp2-preproc", + "rtp2-pipeline" + ]: # TODO: define list in another module for reusability accross modules and functions + logger.debug(f"{container} is in the list") + prepare.prepare_dwi_input( + parser_namespace, ananlysis_dir, lc_config, sub_ses_list, layout, dict_store_cs_configs + ) + else: + logger.error(f"{container} is not in the list") + + + # Run mode + launchcontainer( + ananlysis_dir, + lc_config, + sub_ses_list, + parser_namespace, + path_to_analysis_container_specific_config + ) + + +# #%% +if __name__ == "__main__": + main() diff --git a/old_lc/prepare_inputs/__init__.py b/old_lc/prepare_inputs/__init__.py new file mode 100755 index 0000000..9c4832b --- /dev/null +++ b/old_lc/prepare_inputs/__init__.py @@ -0,0 +1,15 @@ + +""" +MIT License + +Copyright (c) 2020-2023 Garikoitz Lerma-Usabiaga +Copyright (c) 2020-2022 Mengxing Liu +Copyright (c) 2022-2023 Leandro Lecca +Copyright (c) 2022-2023 Yongning Lei +Copyright (c) 2023 David Linhardt +Copyright (c) 2023 Iñigo Tellaetxe + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. +""" \ No newline at end of file diff --git a/src/prepare_inputs/_version.py b/old_lc/prepare_inputs/_version.py similarity index 100% rename from src/prepare_inputs/_version.py rename to old_lc/prepare_inputs/_version.py diff --git a/src/prepare_inputs/check_parser.py b/old_lc/prepare_inputs/check_parser.py similarity index 100% rename from src/prepare_inputs/check_parser.py rename to old_lc/prepare_inputs/check_parser.py diff --git a/src/prepare_inputs/dask_scheduler_config.py b/old_lc/prepare_inputs/dask_scheduler_config.py similarity index 100% rename from src/prepare_inputs/dask_scheduler_config.py rename to old_lc/prepare_inputs/dask_scheduler_config.py diff --git a/old_lc/prepare_inputs/prepare.py b/old_lc/prepare_inputs/prepare.py new file mode 100755 index 0000000..6672e7c --- /dev/null +++ b/old_lc/prepare_inputs/prepare.py @@ -0,0 +1,391 @@ +""" +MIT License + +Copyright (c) 2020-2023 Garikoitz Lerma-Usabiaga +Copyright (c) 2020-2022 Mengxing Liu +Copyright (c) 2022-2024 Leandro Lecca +Copyright (c) 2022-2023 Yongning Lei +Copyright (c) 2023 David Linhardt +Copyright (c) 2023 Iñigo Tellaetxe + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. +""" + +import logging +import os +import os.path as op +import json +import zipfile + +from . import utils as do +from . import prepare_dwi as dwipre + +logger = logging.getLogger("Launchcontainers") + +def prepare_analysis_folder(parser_namespace, lc_config): + ''' + Description: create analysis folder based on your container and your analysis. + + In the meantime, it will copy your input config files to the analysis folder. + + In the end, it will check if everything are in place and ready for the next level preparation + which is at the subject and session level + + After this step, the following preparing method will based on the config files under the analysis folder instread of your input + ''' + # read parameters from lc_config + basedir = lc_config['general']['basedir'] + container = lc_config['general']['container'] + force = lc_config["general"]["force"] + analysis_name= lc_config['general']['analysis_name'] + run_lc = parser_namespace.run_lc + force= force or run_lc + version = lc_config["container_specific"][container]["version"] + bidsdir_name = lc_config['general']['bidsdir_name'] + container_folder = op.join(basedir, bidsdir_name,'derivatives',f'{container}_{version}') + if not op.isdir(container_folder): + os.makedirs(container_folder) + + analysis_dir = op.join( + container_folder, + f"analysis-{analysis_name}", + ) + if not op.isdir(analysis_dir): + os.makedirs(analysis_dir) + + ############################################################################################ + ############################Copy the configs################################################ + ############################################################################################ + # define the potential exist config files + lc_config_under_analysis_folder = op.join(analysis_dir, "lc_config.yaml") + subSeslist_under_analysis_folder = op.join(analysis_dir, "subSesList.txt") + # the name of container_specific configs is consitant with your input name, it is not necessary a .json file + container_configs_under_analysis_folder = op.join(analysis_dir,os.path.basename(parser_namespace.container_specific_config)) + + # then we have optional configs we need to add to the list + # copy the config under the analysis folder + do.copy_file(parser_namespace.lc_config, lc_config_under_analysis_folder, force) + do.copy_file(parser_namespace.sub_ses_list,subSeslist_under_analysis_folder,force) + do.copy_file(parser_namespace.container_specific_config, container_configs_under_analysis_folder, force) + + logger.debug(f'\n The analysis folder is {analysis_dir}, all the configs has been copied') + + dict_store_cs_configs={} + dict_store_cs_configs['config_path']=container_configs_under_analysis_folder + + def process_optional_input(container,file_path, analysis_dir, option=None): + if os.path.isfile(file_path): + logger.info("\n" + +f" You have choossen to pass {file_path} to {container}, it will be first copy to {analysis_dir}") + else: + logger.error("\n" + f"{file_path} does not exist") + + file_name = os.path.basename(file_path) + file_ext = os.path.splitext(file_name)[1] + + if container in ['anatrois','freesurferator']: + if file_ext in ['.nii', '.gz','.zip']: + do.copy_file(file_path, os.path.join(analysis_dir, file_name), force) + else: + raise ValueError("Unsupported file type.") + if container in ['rtp2-preproc','rtppreproc']: + if file_ext in ['.nii', '.gz']: + do.copy_file(file_path, os.path.join(analysis_dir, file_name), force) + else: + raise ValueError("Unsupported file type.") + + if container in ['rtp2-pipeline','rtp-pipeline']: + if option == "tractparams": + if file_ext in ['.csv']: + do.copy_file(file_path, os.path.join(analysis_dir, file_name), force) + else: + raise ValueError("Unsupported file type.") + if option == "fsmask": + if file_ext in ['.nii', '.gz']: + do.copy_file(file_path, os.path.join(analysis_dir, file_name), force) + else: + raise ValueError("Unsupported file type.") + if option == "qmap_zip": + if file_ext == '.zip': + do.copy_file(file_path, os.path.join(analysis_dir, file_name), force) + else: + raise ValueError("Unsupported file type.") + return file_name + + # copy annotfile or mnizip file to analysis folder + if container in ['anatrois']: + dict_store_cs_configs[container]={} + pre_fs= lc_config["container_specific"][container]["pre_fs"] + annotfile = lc_config["container_specific"][container]["annotfile"] + mniroizip = lc_config["container_specific"][container]["mniroizip"] + if pre_fs: + file_name="existingFS.zip" + dict_store_cs_configs[container]['pre_fs']=f"pre_fs/{file_name}" + if annotfile: + file_name=process_optional_input(container,annotfile,analysis_dir) + dict_store_cs_configs[container]['annotfile']=f"annotfile/{file_name}" + if mniroizip: + file_name=process_optional_input(container,mniroizip,analysis_dir) + dict_store_cs_configs[container]['mniroizip']=f"mniroizip/{file_name}" + # copy annotfile or mnizip file to analysis folder + if container in ['freesurferator']: + dict_store_cs_configs[container]={} + pre_fs= lc_config["container_specific"][container]["pre_fs"] + control_points= lc_config["container_specific"][container]["control_points"] + annotfile = lc_config["container_specific"][container]["annotfile"] + mniroizip = lc_config["container_specific"][container]["mniroizip"] + if pre_fs: + file_name="existingFS.zip" + dict_store_cs_configs[container]['pre_fs']=f"pre_fs/{file_name}" + if control_points: + file_name="control.dat" + dict_store_cs_configs[container]['control_points']=f"control_points/{file_name}" + if annotfile: + file_name=process_optional_input(container,annotfile,analysis_dir) + dict_store_cs_configs[container]['annotfile']=f"annotfile/{file_name}" + if mniroizip: + file_name=process_optional_input(container,mniroizip,analysis_dir) + dict_store_cs_configs[container]['mniroizip']=f"mniroizip/{file_name}" + # copy qmap.nii of qmap.nii.gz to analysis folder + if container in ['rtppreproc']: + preproc_json_keys=['ANAT','BVAL','BVEC', 'DIFF','FSMASK'] + preproc_json_val=['ANAT/T1.nii.gz','BVAL/dwiF.bval','BVEC/dwiF.bvec','DIFF/dwiF.nii.gz','FSMASK/brain.nii.gz'] + dict_store_cs_configs[container]= {key: value for key, value in zip(preproc_json_keys, preproc_json_val)} + rpe=lc_config["container_specific"][container]["rpe"] + if rpe: + dict_store_cs_configs[container]['RBVC']= 'RBVC/dwiR.bvec' + dict_store_cs_configs[container]['RBVL']= 'RBVL/dwiR.bval' + dict_store_cs_configs[container]['RDIF']= 'RDIF/dwiR.nii.gz' + if container in ['rtp2-preproc']: + preproc_json_keys=['ANAT','BVAL','BVEC', 'DIFF','FSMASK'] + preproc_json_val=['ANAT/T1.nii.gz','BVAL/dwiF.bval','BVEC/dwiF.bvec','DIFF/dwiF.nii.gz','FSMASK/brain.nii.gz'] + dict_store_cs_configs[container]= {key: value for key, value in zip(preproc_json_keys, preproc_json_val)} + + rpe=lc_config["container_specific"][container]["rpe"] + qmap=lc_config["container_specific"][container]["qmap_nifti"] + if rpe: + dict_store_cs_configs[container]['RBVC']= 'RBVC/dwiR.bvec' + dict_store_cs_configs[container]['RBVL']= 'RBVL/dwiR.bval' + dict_store_cs_configs[container]['RDIF']= 'RDIF/dwiR.nii.gz' + if qmap: + file_name=process_optional_input(container,qmap,analysis_dir) + dict_store_cs_configs[container]['qmap']=f"qmap/{file_name}" + + if container in ['rtp-pipeline']: + pipeline_json_keys=['anatomical','bval','bvec', 'dwi','fs'] + pipeline_json_val=['anatomical/T1.nii.gz','bval/dwi.bval','bvec/dwi.bvec','dwi/dwi.nii.gz','fs/fs.zip'] + dict_store_cs_configs[container]= {key: value for key, value in zip(pipeline_json_keys, pipeline_json_val)} + + tractparams=lc_config["container_specific"][container]["tractparams"] + if tractparams: + file_name=process_optional_input(container,tractparams,analysis_dir,"tractparams") + dict_store_cs_configs[container]['tractparams']=f"tractparams/{file_name}" + if container in ['rtp2-pipeline']: + pipeline_json_keys=['anatomical','bval','bvec', 'dwi','fs'] + pipeline_json_val=['anatomical/T1.nii.gz','bval/dwi.bval','bvec/dwi.bvec','dwi/dwi.nii.gz','fs/fs.zip'] + dict_store_cs_configs[container]= {key: value for key, value in zip(pipeline_json_keys, pipeline_json_val)} + tractparams=lc_config["container_specific"][container]["tractparams"] + fsmask=lc_config["container_specific"][container]["fsmask"] + qmap_zip=lc_config["container_specific"][container]["qmap_zip"] + if tractparams: + file_name=process_optional_input(container,tractparams,analysis_dir,"tractparams") + dict_store_cs_configs[container]['tractparams']=f"tractparams/{file_name}" + if fsmask: + file_name=process_optional_input(container,fsmask,analysis_dir,"fsmask") + dict_store_cs_configs[container]['fsmask']=f"fsmask/{file_name}" + if qmap_zip: + file_name=process_optional_input(container,qmap_zip,analysis_dir,"qmap_zip") + dict_store_cs_configs[container]['qmap_zip']=f"qmap_zip/{file_name}" + + + ############################################################################################ + ############################Do the checks################################################### + ############################################################################################ + + copies = [lc_config_under_analysis_folder, subSeslist_under_analysis_folder, container_configs_under_analysis_folder] + + all_copies_present= all(op.isfile(copy_path) for copy_path in copies) + + if all_copies_present: + pass + else: + logger.error(f'\n did NOT detect back up configs in the analysis folder, Please check then continue the run mode') + + return analysis_dir, dict_store_cs_configs + +def prepare_dwi_config_json(dict_store_cs_configs,lc_config,force): + ''' + This function is used to automatically read config.yaml and get the input file info and put them in the config.json + + ''' + + def write_json(config_json_extra, json_under_analysis_dir, force): + config_json_instance = json.load(open(json_under_analysis_dir)) + if not "input" in config_json_instance: + config_json_instance["inputs"] = config_json_extra + else: + logger.warn(f"{json_under_analysis_dir} json file already has field input, we will overwrite it if you set force to true") + if force: + config_json_instance["inputs"] = config_json_extra + else: + pass + with open(json_under_analysis_dir , "w") as outfile: + json.dump(config_json_instance, outfile, indent = 4) + + return True + + def get_config_dict(container,lc_config,dict_store_cs_configs): + + yaml_info=lc_config["container_specific"][container] + + rtp2_json_dict= dict_store_cs_configs[container] + + + if container in ["freesurferator", "anatrois"]: + config_json_extra={'anat': + {'location': { + 'path': '/flywheel/v0/input/anat/T1.nii.gz', + 'name': 'T1.nii.gz', + }, + 'base': 'file'} + } + for key in rtp2_json_dict.keys(): + if key in yaml_info.keys() and yaml_info[key]: + config_json_extra[key] = { + 'location': { + 'path': op.join('/flywheel/v0/input', rtp2_json_dict[key]), + 'name': op.basename(rtp2_json_dict[key]) + }, + 'base': 'file' + } + if 'anat' in config_json_extra.keys() and 'pre_fs' in config_json_extra.keys(): + del config_json_extra['anat'] + else: + config_json_extra={} + for key in rtp2_json_dict.keys(): + config_json_extra[key] = { + 'location': { + 'path': op.join('/flywheel/v0/input', rtp2_json_dict[key]), + 'name': op.basename(rtp2_json_dict[key]) + }, + 'base': 'file' + } + + return config_json_extra + + container = lc_config["general"]["container"] + config_json_extra=get_config_dict(container,lc_config,dict_store_cs_configs) + + json_under_analysis_dir=dict_store_cs_configs['config_path'] + + if write_json(config_json_extra, json_under_analysis_dir,force): + logger.info(f"Successfully write json for {container}") + return True + + +def prepare_dwi_input(parser_namespace, analysis_dir, lc_config, df_subSes, layout, dict_store_cs_configs): + """ + This is the major function for doing the preparation, it is doing the work + 1. write the config.json (analysis level) + 2. create symlink for input files (subject level) + + Parameters + ---------- + lc_config : TYPE + DESCRIPTION. + df_subSes : TYPE + DESCRIPTION. + + Returns + ------- + None. + + """ + logger.info("\n"+ + "#####################################################\n" + +"Preparing for DWI pipeline RTP2\n") + + + container = lc_config["general"]["container"] + force = lc_config["general"]["force"] + run_lc = parser_namespace.run_lc + force= force or run_lc + version = lc_config["container_specific"][container]["version"] + + logger.info("\n"+ + "#####################################################\n" + +f"Prepare 1, write config.json RTP2-{container}\n") + + if prepare_dwi_config_json(dict_store_cs_configs,lc_config,force): + logger.info("\n"+ + "#####################################################\n" + +f"Prepare 1, finished\n") + else: + logger.critical("\n"+ + "#####################################################\n" + +f"Prepare json not finished. Please check\n") + raise Exception("Sorry the Json file seems not being written correctly, it may cause container dysfunction") + + + logger.info("\n"+ + "#####################################################\n" + +f"Prepare 2, create the symlinks of all the input files RTP2-{container}\n") + + + for row in df_subSes.itertuples(index=True, name="Pandas"): + sub = row.sub + ses = row.ses + RUN = row.RUN + dwi = row.dwi + + logger.info(f'dwi is {dwi}') + logger.info("\n" + +"The current run is: \n" + +f"{sub}_{ses}_{container}_{version}\n") + + + if RUN == "True" and dwi == "True": + + tmpdir = op.join( + analysis_dir, + "sub-" + sub, + "ses-" + ses, + "output", "tmp" + ) + logdir = op.join( + analysis_dir, + "sub-" + sub, + "ses-" + ses, + "output", "log" + ) + + if not op.isdir(tmpdir): + os.makedirs(tmpdir) + if not op.isdir(logdir): + os.makedirs(logdir) + + do.copy_file(parser_namespace.lc_config, op.join(logdir,'lc_config.yaml'), force) + config_file_path=dict_store_cs_configs['config_path'] + do.copy_file(config_file_path, op.join(logdir,'config.json'), force) + + + if container in ["rtppreproc" ,"rtp2-preproc"]: + dwipre.rtppreproc(dict_store_cs_configs, analysis_dir, lc_config, sub, ses, layout,run_lc) + elif container in ["rtp-pipeline", "rtp2-pipeline"]: + dwipre.rtppipeline(dict_store_cs_configs, analysis_dir,lc_config, sub, ses, layout,run_lc) + elif container in ["anatrois","freesurferator"]: + dwipre.anatrois(dict_store_cs_configs, analysis_dir,lc_config,sub, ses, layout,run_lc) + else: + logger.error("\n"+ + f"***An error occurred" + +f"{container} is not created, check for typos or contact admin for singularity images\n" + ) + else: + continue + logger.info("\n"+ + "#####################################################\n") + return + diff --git a/old_lc/prepare_inputs/prepare_dwi.py b/old_lc/prepare_inputs/prepare_dwi.py new file mode 100755 index 0000000..d5e4964 --- /dev/null +++ b/old_lc/prepare_inputs/prepare_dwi.py @@ -0,0 +1,789 @@ +""" +MIT License + +Copyright (c) 2020-2023 Garikoitz Lerma-Usabiaga +Copyright (c) 2020-2022 Mengxing Liu +Copyright (c) 2022-2024 Leandro Lecca +Copyright (c) 2022-2023 Yongning Lei +Copyright (c) 2023 David Linhardt +Copyright (c) 2023 Iñigo Tellaetxe + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. +""" +#%% import libraries + +import os +import os.path as op +import re +import errno +import shutil +import sys +import nibabel as nib +import json +import subprocess as sp +import zipfile +import logging + +from . import utils as do +from .utils import read_df + + +logger = logging.getLogger("Launchcontainers") + + +#%% the force version of create symlink +def force_symlink(file1, file2, force): + """Creates symlinks making sure + + Args: + file1 (str): path to the source file, which is the output of the previous container + file2 (str): path to the destination file, which is the input of the current container + force (bool): specifies if existing files will be rewritten or not. Set in the config.yaml file. + + Raises: + n (OSError): Raised if input file does not exist when trying to create a symlink between file1 and file2 + e (OSError): + e: _description_ + """ + logger.info("\n" + +"-----------------------------------------------\n") + # If force is set to False (we do not want to overwrite) + if not force: + try: + # Try the command, if the files are correct and the symlink does not exist, create one + logger.info("\n" + +f"---creating symlink for source file: {file1} and destination file: {file2}\n") + os.symlink(file1, file2) + logger.info("\n" + +f"--- force is {force}, -----------------creating success -----------------------\n") + # If raise [erron 2]: file does not exist, print the error and pass + except OSError as n: + if n.errno == 2: + logger.error("\n" + +"***An error occured \n" + +"input files are missing, please check \n") + pass + # If raise [errno 17] the symlink exist, we don't force and print that we keep the original one + elif n.errno == errno.EEXIST: + logger.warning("\n"+ + f"--- force is {force}, symlink exist, remain old \n") + else: + logger.error("\n"+ "Unknown error, break the program") + raise n + + # If we set force to True (we want to overwrite) + if force: + try: + # Try the command, if the file are correct and symlink not exist, it will create one + os.symlink(file1, file2) + logger.info("\n" + +f"--- force is {force}, symlink empty, new link created successfully\n ") + # If the symlink exists, OSError will be raised + except OSError as e: + if e.errno == errno.EEXIST: + os.remove(file2) + logger.info("\n" + +f"--- force is {force} but the symlink exists, unlinking\n ") + os.symlink(file1, file2) + logger.warning("\n" + +"--- overwriting the existing symlink") + logger.info("\n" + +"----------------- Overwrite success -----------------------\n") + elif e.errno == 2: + logger.error("\n" + +"***input files are missing, please check that they exist\n") + raise e + else: + logger.error("\n" + +"***ERROR***\n" + +"We do not know what happened\n") + raise e + logger.info("\n" + +"-----------------------------------------------\n") + return + + +#%% check if tractparam ROI was created in the anatrois fs.zip file +def check_tractparam(lc_config, sub, ses, tractparam_df): + + """Checks the correctness of the given parameters. + + Args: + lc_config (dict): _description_ + sub (str): _description_ + ses (str): _description_ + tractparam_df (pandas.DataFrame): _description_ + inherited parameters: path to the fs.zip file, defined by lc_config, sub, ses. + + Raises: + FileNotFoundError: _description_ + + Returns: + rois_are_there (bool): Whether the regions of interest (ROIs) are present or not + """ + # Define the list of required ROIs + logger.info("\n"+ + "#####################################################\n") + roi_list=[] + # Iterate over some defined roisand check if they are required or not in the config.yaml + for col in ['roi1', 'roi2', 'roi3', 'roi4',"roiexc1","roiexc2"]: + for val in tractparam_df[col][~tractparam_df[col].isna()]: + if '_AND_' in val: + multi_roi= val.split('_AND_') + roi_list.extend(multi_roi) + else: + if val != "NO": + roi_list.append(val) + + required_rois= set(roi_list) + + # Define the zip file + basedir = lc_config["general"]["basedir"] + container = lc_config["general"]["container"] + bidsdir_name= lc_config["general"]["bidsdir_name"] + precontainer_anat = lc_config["container_specific"][container]["precontainer_anat"] + anat_analysis_name = lc_config["container_specific"][container]["anat_analysis_name"] + + # Define where the fs.zip file is + fs_zip = op.join( + basedir, + bidsdir_name, + "derivatives", + f'{precontainer_anat}', + "analysis-" + anat_analysis_name, + "sub-" + sub, + "ses-" + ses, + "output", "fs.zip" + ) + + # Extract .gz files from zip file and check if they are all present + with zipfile.ZipFile(fs_zip, 'r') as zip: + zip_gz_files = set(zip.namelist()) + + # See which ROIs are present in the fs.zip file + required_gz_files = set(f"fs/ROIs/{file}.nii.gz" for file in required_rois) + logger.info("\n" + +f"---The following are the ROIs in fs.zip file: \n {zip_gz_files} \n" + +f"---there are {len(zip_gz_files)} .nii.gz files in fs.zip from anatrois output\n" + +f"---There are {len(required_gz_files)} ROIs that are required to run RTP-PIPELINE\n") + if required_gz_files.issubset(zip_gz_files): + logger.info("\n" + +"---checked! All required .gz files are present in the fs.zip \n") + else: + missing_files = required_gz_files - zip_gz_files + logger.error("\n" + +f"*****Error: \n" + +f"there are {len(missing_files)} missed in fs.zip \n" + +f"The following .gz files are missing in the zip file:\n {missing_files}") + raise FileNotFoundError("Required .gz file are missing") + + ROIs_are_there= required_gz_files.issubset(zip_gz_files) + logger.info("\n"+ + "#####################################################\n") + return ROIs_are_there + +#%% +def anatrois(dict_store_cs_configs, analysis_dir,lc_config, sub, ses, layout,run_lc): + + """anatrois function creates symbolic links for the anatrois container + + Args: + analysis_dir (_type_): directory to analyze + lc_config (dict): the lc_config dictionary from _read_config + sub (str): subject name + ses (str): session name + layout (_type_): _description_ + + Raises: + FileNotFoundError: _description_ + FileNotFoundError: _description_ + """ + + # General level variables: + basedir = lc_config["general"]["basedir"] + container = lc_config["general"]["container"] + bidsdir_name=lc_config["general"]["bidsdir_name"] + # If force is False, then we don't want to overwrite anything + # If force is true, and we didn't run_lc(in the prepare mode), we will do the overwrite and so on + # If force is true and we do run_lc, then we will never overwrite + force = (lc_config["general"]["force"]) + force = force and (not run_lc) + + # Container specific: + prefs_dir_name = lc_config["container_specific"][container]["prefs_dir_name"] + prefs_analysis_name = lc_config["container_specific"][container]["prefs_analysis_name"] + prefs_zipname = lc_config["container_specific"][container]["prefs_zipname"] + # specific for freesurferator + if container == "freesurferator": + control_points = lc_config["container_specific"][container]["control_points"] + if control_points: + prefs_unzipname = lc_config["container_specific"][container]["prefs_unzipname"] + + + # define input output folder for this container + dstDir_input = op.join( + analysis_dir, + "sub-" + sub, + "ses-" + ses, + "input", + ) + dstDir_output = op.join( + analysis_dir, + "sub-" + sub, + "ses-" + ses, + "output", + ) + if container == "freesurferator": + dstDir_work = op.join( + analysis_dir, + "sub-" + sub, + "ses-" + ses, + "work", + ) + if not op.exists(dstDir_work): + os.makedirs(dstDir_work) + + if not op.exists(dstDir_input): + os.makedirs(dstDir_input) + if not op.exists(dstDir_output): + os.makedirs(dstDir_output) + + # read json, this json is already written from previous preparasion step + json_under_analysis_dir=dict_store_cs_configs['config_path'] + config_json_instance = json.load(open(json_under_analysis_dir)) + required_inputfiles=config_json_instance['inputs'].keys() + + # 5 main filed needs to be in anatrois if all specified, so there will be 5 checks + if "anat" in required_inputfiles: + src_path_anat_lst= layout.get(subject= sub, session=ses, extension='nii.gz',suffix= 'T1w',return_type='filename') + if len(src_path_anat_lst) == 0: + raise FileNotFoundError(f'the T1w.nii.gz you are specifying for sub-{sub}_ses-{ses} does NOT exist or the folder is not BIDS format, please check') + else: + src_path_anat = src_path_anat_lst[0] + dst_fname_anat=config_json_instance['inputs']['anat']['location']['name'] + dst_path_anat=op.join(dstDir_input, "anat", dst_fname_anat) + + if not op.exists(op.join(dstDir_input, "anat")): + os.makedirs(op.join(dstDir_input, "anat")) + force_symlink(src_path_anat, dst_path_anat, force) + + # If we ran freesurfer before: + if "pre_fs" in required_inputfiles: + pre_fs_path = op.join( + basedir, + bidsdir_name, + "derivatives", + f'{prefs_dir_name}', + "analysis-" + prefs_analysis_name, + "sub-" + sub, + "ses-" + ses, + "output", + ) + logger.info("\n" + +f"---the patter of fs.zip filename we are searching is {prefs_zipname}\n" + +f"---the directory we are searching for is {pre_fs_path}") + logger.debug("\n" + +f'the tpye of patter is {type(prefs_zipname)}') + zips=[] + for filename in os.listdir(pre_fs_path): + if filename.endswith(".zip") and re.match(prefs_zipname, filename): + zips.append(filename) + if "control_points" in required_inputfiles: + if op.isdir(op.join(pre_fs_path,filename)) and re.match(prefs_unzipname, filename): + src_path_ControlPoints = op.join( + pre_fs_path, + filename, + "tmp", + "control.dat" + ) + else: + raise FileNotFoundError("Didn't found control_points .zip file") + + if len(zips) == 0: + logger.error("\n"+ + f"There are no files with pattern: {prefs_zipname} in {pre_fs_path}, we will listed potential zip file for you" + ) + raise FileNotFoundError("pre_fs_path is empty, no previous analysis was found") + elif len(zips) == 1: + src_path_fszip = op.join(pre_fs_path,zips[0]) + else: + zips_by_time = sorted(zips, key=op.getmtime) + answer = input( + f"Do you want to use the newset fs.zip: \n{zips_by_time[-1]} \n we get for you? \n input y for yes, n for no" + ) + if answer in "y": + src_path_fszip = zips_by_time[-1] + else: + logger.error("\n"+"An error occurred" + +zips_by_time +"\n" # type: ignore + +"no target preanalysis.zip file exist, please check the config_lc.yaml file") + sys.exit(1) + + dst_fname_fs=config_json_instance['inputs']['pre_fs']['location']['name'] + dst_path_fszip=op.join(dstDir_input, "pre_fs", dst_fname_fs) + if not op.exists(op.join(dstDir_input, "pre_fs")): + os.makedirs(op.join(dstDir_input, "pre_fs")) + force_symlink(src_path_fszip, dst_path_fszip, force) + + if "control_points" in required_inputfiles: + dst_fname_cp=config_json_instance['inputs']['control_points']['location']['name'] + dst_path_cp=op.join(dstDir_input, "pre_fs", dst_fname_cp) + if not op.exists(op.join(dstDir_input,"control_points")): + os.makedirs(op.join(dstDir_input,"control_points")) + force_symlink(src_path_ControlPoints, dst_path_cp, force) + + if "annotfile" in required_inputfiles: + + fname_annot=config_json_instance['inputs']['annotfile']['location']['name'] + src_path_annot = op.join(analysis_dir, fname_annot) + dst_path_annot=op.join(dstDir_input, "annotfile", fname_annot) + + if not op.exists(op.join(dstDir_input, "annotfile")): + os.makedirs(op.join(dstDir_input, "annotfile")) + force_symlink(src_path_annot, dst_path_annot, force) + + if "mniroizip" in required_inputfiles: + + fname_mniroi=config_json_instance['inputs']['mniroizip']['location']['name'] + src_path_mniroi = op.join(analysis_dir, fname_mniroi) + dst_path_mniroi=op.join(dstDir_input, "mniroizip", fname_mniroi) + + if not op.exists(op.join(dstDir_input, "mniroizip")): + os.makedirs(op.join(dstDir_input, "mniroizip")) + force_symlink(src_path_mniroi, dst_path_mniroi, force) + + + logger.info("\n" + +"-----------------The symlink created-----------------------\n") + + return + + +#%% +def rtppreproc(dict_store_cs_configs, analysis_dir, lc_config, sub, ses, layout, run_lc): + """ + Parameters + ---------- + parser_namespace: parser obj + it contains all the input argument in the parser + + lc_config : dict + the lc_config dictionary from _read_config + sub : str + the subject name looping from df_subSes + ses : str + the session name looping from df_subSes. + + Returns + ------- + none, create symbolic links + + """ + + # general level variables: + basedir = lc_config["general"]["basedir"] + container = lc_config["general"]["container"] + bidsdir_name=lc_config["general"]["bidsdir_name"] + force = (lc_config["general"]["force"]) + # if force is False, then we don't want to overwrite anything + # if force is true, and we didn't run_lc(in the prepare mode), we will do the overwrite and so on + # if force is true and we do run_lc, then we will never overwrite + force=force and (not run_lc) + # container specific: + precontainer_anat = lc_config["container_specific"][container]["precontainer_anat"] + anat_analysis_name = lc_config["container_specific"][container]["anat_analysis_name"] + + rpe = lc_config["container_specific"][container]["rpe"] + multishell=lc_config["container_specific"][container]["multishell"] + + # define input output folder for this container + dstDir_input = op.join( + analysis_dir, + "sub-" + sub, + "ses-" + ses, + "input", + ) + dstDir_output = op.join( + analysis_dir, + "sub-" + sub, + "ses-" + ses, + "output", + ) + + if not op.exists(dstDir_input): + os.makedirs(dstDir_input) + if not op.exists(dstDir_output): + os.makedirs(dstDir_output) + + # read json, this json is already written from previous preparasion step + json_under_analysis_dir=dict_store_cs_configs['config_path'] + config_json_instance = json.load(open(json_under_analysis_dir)) + required_inputfiles=config_json_instance['inputs'].keys() + + config_json_data = json.load(open(json_under_analysis_dir)) + if container == "rtp2-preproc": + PE_direction = config_json_data["config"]["pe_dir"] + if container == "rtppreproc": + PE_direction = config_json_data["config"]["acqd"] + + precontainer_anat_dir = op.join( + basedir, + bidsdir_name, + "derivatives", + f'{precontainer_anat}', + "analysis-" + anat_analysis_name, + "sub-" + sub, + "ses-" + ses, + "output", + ) + # there are 8 fieids in the rtppreproc, and 9 fields in rtp2-preproc(qmap), so we will loop for the + # required_inputfiles to prepare them + # required: ANAT BVAL BVEC DIFF FSMASK + # optional for rtppreproc RBVL RBVC RDIF + # optional for rtp2-preproc extra: qmap + + # prepare the required filed + # the previous container anatrois/freesurferator analysis + # ANAT + # T1 file in anatrois output + src_path_ANAT = op.join(precontainer_anat_dir, "T1.nii.gz") + # FSMASK + # brain mask file in anatrois output + if int(precontainer_anat.split('.')[1])<6: + src_path_FSMASK = op.join(precontainer_anat_dir, "brainmask.nii.gz") + if int(precontainer_anat.split('.')[1])>5: + src_path_FSMASK = op.join(precontainer_anat_dir, "brain.nii.gz") + # 3 dwi file that needs to be preprocessed, under BIDS/sub/ses/dwi + if not multishell: + # the bval + src_path_BVAL = layout.get(subject= sub, session=ses, extension='bval',suffix= 'dwi', direction=PE_direction, return_type='filename')[0] + # the bve + src_path_BVEC =layout.get(subject= sub, session=ses, extension='bvec',suffix= 'dwi',direction=PE_direction, return_type='filename')[0] + # the dwi + src_path_DIFF = layout.get(subject= sub, session=ses, extension='nii.gz',suffix= 'dwi', direction=PE_direction, return_type='filename')[0] + + else: + # check how many *dir_dwi.nii.gz there are in the BIDS/sub/ses/dwi directory + diff_files = layout.get(subject= sub, session=ses, extension='nii.gz',suffix= 'dwi', direction=PE_direction, return_type='filename') + dwi_acq = [f for f in diff_files if 'acq-' in f] + # create the file name, it will be a file after concat + target_dwi_concat=re.sub(r'acq-[^_]+', '', diff_files[0]) + src_path_DIFF=target_dwi_concat + bval_files = layout.get(subject= sub, session=ses, extension='bval',suffix= 'dwi', direction=PE_direction, return_type='filename') + bvec_files = layout.get(subject= sub, session=ses, extension='bvec',suffix= 'dwi', direction=PE_direction, return_type='filename') + target_bvec=re.sub(r'acq-[^_]+', '', bvec_files[0]) + target_bval=re.sub(r'acq-[^_]+', '', bval_files[0]) + src_path_BVEC=target_bvec + src_path_BVAL=target_bval + if len(dwi_acq) == 0: + logger.error("\n" + +f"No files with different acq- to concatenate.\n") + raise FileNotFoundError("Didn't found the multi shell DWI, check your bids naming of acq- field") + elif len(dwi_acq) == 1: + logger.error("\n" + +f"Found only {dwi_acq[0]} to concatenate. There must be at least two files with different acq.\n") + raise FileNotFoundError("Didn't found 2 multi shell DWI, only found 1") + elif len(dwi_acq) > 1: + if not op.isfile(target_dwi_concat): + logger.info("\n" + +f"Concatenating with mrcat of mrtrix3 these files: {dwi_acq} in: {target_dwi_concat} \n") + dwi_acq.sort() + sp.run(['mrcat',*dwi_acq,target_dwi_concat]) + src_path_DIFF=target_dwi_concat + # also get the bvecs and bvals + bvals_acq = [f for f in bval_files if 'acq-' in f] + bvecs_acq = [f for f in bvec_files if 'acq-' in f] + if len(dwi_acq) == len(bvals_acq) and not os.path.isfile(target_bval): + bvals_acq.sort() + bval_cmd = "paste -d ' '" + for bvalF in bvals_acq: + bval_cmd = bval_cmd+" "+bvalF + bval_cmd = bval_cmd+" > "+target_bval + sp.run(bval_cmd,shell=True) + src_path_BVAL=target_bval + else: + logger.error("\n" + +"Missing bval files") + if len(dwi_acq) == len(bvecs_acq) and not os.path.isfile(target_bvec): + bvecs_acq.sort() + bvec_cmd = "paste -d ' '" + for bvecF in bvecs_acq: + bvec_cmd = bvec_cmd+" "+bvecF + bvec_cmd = bvec_cmd+" > "+target_bvec + sp.run(bvec_cmd,shell=True) + src_path_BVEC=target_bvec + else: + logger.error("\n" + +"Missing bvec files") + + elif len(diff_files) == 0: + logger.error("DIFF file for rtppreproc/rtp2-preproc not found") + raise FileNotFoundError("No DIFF in the BIDS folder, check your configs") + else: + raise FileExistsError("You have multiple multi-shell DWI files under sub-{sub}/ses-{ses}, \ + don't know which one to use, please prepare your BIDS folder and run again") + # destination directory under dstDir_input + if not op.exists(op.join(dstDir_input, "ANAT")): + os.makedirs(op.join(dstDir_input, "ANAT")) + if not op.exists(op.join(dstDir_input, "FSMASK")): + os.makedirs(op.join(dstDir_input, "FSMASK")) + if not op.exists(op.join(dstDir_input, "DIFF")): + os.makedirs(op.join(dstDir_input, "DIFF")) + if not op.exists(op.join(dstDir_input, "BVAL")): + os.makedirs(op.join(dstDir_input, "BVAL")) + if not op.exists(op.join(dstDir_input, "BVEC")): + os.makedirs(op.join(dstDir_input, "BVEC")) + # Create the destination paths + dst_path_ANAT = op.join(dstDir_input, "ANAT", "T1.nii.gz") + dst_path_FSMASK = op.join(dstDir_input, "FSMASK", "brainmask.nii.gz") + dst_path_DIFF = op.join(dstDir_input, "DIFF", "dwiF.nii.gz") + dst_path_BVAL = op.join(dstDir_input, "BVAL", "dwiF.bval") + dst_path_BVEC = op.join(dstDir_input, "BVEC", "dwiF.bvec") + # Create the symbolic links + force_symlink(src_path_ANAT, dst_path_ANAT, force) + force_symlink(src_path_FSMASK, dst_path_FSMASK, force) + force_symlink(src_path_DIFF, dst_path_DIFF, force) + force_symlink(src_path_BVAL, dst_path_BVAL, force) + force_symlink(src_path_BVEC, dst_path_BVEC, force) + logger.info("\n" + +"-----------------The rtppreproc symlinks created\n") + # check_create_bvec_bval(force) one of the todo here + if rpe: + if PE_direction == "PA": + rpe_dir = "AP" + elif PE_direction == "AP": + rpe_dir = "PA" + # the reverse direction nii.gz + src_path_RDIF = layout.get(subject= sub, session=ses, extension='nii.gz',suffix= 'dwi', direction=rpe_dir, return_type='filename')[0] + + # the reverse direction bval + src_path_RBVL_lst= layout.get(subject= sub, session=ses, extension='bval',suffix= 'dwi', direction=rpe_dir, return_type='filename') + + if len(src_path_RBVL_lst)==0: + src_path_RBVL = src_path_RDIF.replace("dwi.nii.gz", "dwi.bval") + logger.warning(f"\n the bval Reverse file are not find by BIDS, create empty file !!!") + else: + src_path_RBVL = layout.get(subject= sub, session=ses, extension='bval',suffix= 'dwi', direction=rpe_dir, return_type='filename')[0] + + # the reverse direction bvec + src_path_RBVC_lst= layout.get(subject= sub, session=ses, extension='bvec',suffix= 'dwi', direction=rpe_dir, return_type='filename') + if len(src_path_RBVC_lst)==0: + src_path_RBVC = src_path_RDIF.replace("dwi.nii.gz", "dwi.bvec") + logger.warning(f"\n the bvec Reverse file are not find by BIDS, create empty file !!!") + else: + src_path_RBVC =layout.get(subject= sub, session=ses, extension='bvec',suffix= 'dwi', direction=rpe_dir, return_type='filename')[0] + + # If bval and bvec do not exist because it is only b0-s, create them + # (it would be better if dcm2niix would output them but...) + # build the img matrix according to the shape of nii.gz + img = nib.load(src_path_RDIF) # type: ignore + volumes = img.shape[3] # type: ignore + # if one of the bvec and bval are not there, re-write them + if (not op.isfile(src_path_RBVL)) or (not op.isfile(src_path_RBVC)): + # Write bval file + f = open(src_path_RBVL, "x") + f.write(volumes * "0 ") + f.close() + logger.warning(f"\n Finish writing the bval Reverse file with all 0 !!!") + # Write bvec file + f = open(src_path_RBVC, "x") + f.write(volumes * "0 ") + f.write("\n") + f.write(volumes * "0 ") + f.write("\n") + f.write(volumes * "0 ") + f.write("\n") + f.close() + logger.warning(f"\n Finish writing the bvec Reverse file with all 0 !!!") + + + if not op.exists(op.join(dstDir_input, "RDIF")): + os.makedirs(op.join(dstDir_input, "RDIF")) + if not op.exists(op.join(dstDir_input, "RBVL")): + os.makedirs(op.join(dstDir_input, "RBVL")) + if not op.exists(op.join(dstDir_input, "RBVC")): + os.makedirs(op.join(dstDir_input, "RBVC")) + + dst_path_RDIF = op.join(dstDir_input, "RDIF", "dwiR.nii.gz") + dst_path_RBVL = op.join(dstDir_input, "RBVL", "dwiR.bval") + dst_path_RBVC = op.join(dstDir_input, "RBVC", "dwiR.bvec") + + force_symlink(src_path_RDIF, dst_path_RDIF, force) + force_symlink(src_path_RBVL, dst_path_RBVL, force) + force_symlink(src_path_RBVC, dst_path_RBVC, force) + logger.info("\n" + +"---------------The rtppreproc rpe=True symlinks created") + + if "qmap" in required_inputfiles: + + fname_qmap=config_json_instance['inputs']['qmap']['location']['name'] + src_path_qmap = op.join(analysis_dir, fname_qmap) + dst_path_qmap=op.join(dstDir_input, "qmap", fname_qmap) + + if not op.exists(op.join(dstDir_input, "qmap")): + os.makedirs(op.join(dstDir_input, "qmap")) + force_symlink(src_path_qmap, dst_path_qmap, force) + return + + + +#%% +def rtppipeline(dict_store_cs_configs, analysis_dir,lc_config, sub, ses, layout, run_lc): + """""" + + """ + Parameters + ---------- + lc_config : dict + the lc_config dictionary from _read_config + sub : str + the subject name looping from df_subSes + ses : str + the session name looping from df_subSes. + container_specific_config_path : str + + Returns + ------- + none, create symbolic links + + """ + # define local variables from config dict + # input from get_parser + # general level variables: + basedir = lc_config["general"]["basedir"] + container = lc_config["general"]["container"] + bidsdir_name = lc_config["general"]["bidsdir_name"] + force = (lc_config["general"]["force"]) + force = force and (not run_lc) + + # rtppipeline specefic variables + precontainer_anat = lc_config["container_specific"][container]["precontainer_anat"] + anat_analysis_name = lc_config["container_specific"][container]["anat_analysis_name"] + precontainer_preproc = lc_config["container_specific"][container]["precontainer_preproc"] + preproc_analysis_num = lc_config["container_specific"][container]["preproc_analysis_name"] + + # Create input and output directory for this container, + # the dstDir_output should be empty, the dstDir_input should contains all the symlinks + dstDir_input = op.join( + analysis_dir, + "sub-" + sub, + "ses-" + ses, + "input", + ) + dstDir_output = op.join( + analysis_dir, + "sub-" + sub, + "ses-" + ses, + "output", + ) + + if not op.exists(dstDir_input): + os.makedirs(dstDir_input) + if not op.exists(dstDir_output): + os.makedirs(dstDir_output) + + # read json, this json is already written from previous preparasion step + json_under_analysis_dir=dict_store_cs_configs['config_path'] + config_json_instance = json.load(open(json_under_analysis_dir)) + required_inputfiles=config_json_instance['inputs'].keys() + + # required fields are: + # anatomical bval bvec dwi fs + # optional fields are : + # tractparams fsmask qmap_zip + # things from anatrois/freesurferator: + # anatomical + # fs + # The source directory + src_dir_fs = op.join( + basedir, + bidsdir_name, + "derivatives", + f'{precontainer_anat}', + "analysis-" + anat_analysis_name, + "sub-" + sub, + "ses-" + ses, + "output", + ) + src_path_fszip = op.join(src_dir_fs, "fs.zip") + + src_dir_preproc = op.join( + basedir, + bidsdir_name, + "derivatives", + precontainer_preproc, + "analysis-" + preproc_analysis_num, + "sub-" + sub, + "ses-" + ses, + "output", + ) + + + # The source file + src_path_anat = op.join(src_dir_preproc, "t1.nii.gz") + src_path_bval = op.join(src_dir_preproc, "dwi.bvals") + src_path_bvec = op.join(src_dir_preproc, "dwi.bvecs") + src_path_dwi = op.join(src_dir_preproc, "dwi.nii.gz") + + if not op.exists(op.join(dstDir_input, "anatomical")): + os.makedirs(op.join(dstDir_input, "anatomical")) + if not op.exists(op.join(dstDir_input, "fs")): + os.makedirs(op.join(dstDir_input, "fs")) + if not op.exists(op.join(dstDir_input, "dwi")): + os.makedirs(op.join(dstDir_input, "dwi")) + if not op.exists(op.join(dstDir_input, "bval")): + os.makedirs(op.join(dstDir_input, "bval")) + if not op.exists(op.join(dstDir_input, "bvec")): + os.makedirs(op.join(dstDir_input, "bvec")) + + + # Create the destination file + dst_path_anat = op.join(dstDir_input, "anatomical", "T1.nii.gz") + dst_path_fszip = op.join(dstDir_input, "fs", "fs.zip") + dst_path_dwi = op.join(dstDir_input, "dwi", "dwi.nii.gz") + dst_path_bval = op.join(dstDir_input, "bval", "dwi.bval") + dst_path_bvec = op.join(dstDir_input, "bvec", "dwi.bvec") + + force_symlink(src_path_anat, dst_path_anat, force) + force_symlink(src_path_fszip, dst_path_fszip, force) + force_symlink(src_path_dwi, dst_path_dwi, force) + force_symlink(src_path_bvec, dst_path_bvec, force) + force_symlink(src_path_bval, dst_path_bval, force) + + logger.info("\n" + +"-----------------The required rtp2-pipeline symlinks created\n") + if "tractparams" in required_inputfiles: + fname_tractparams=config_json_instance['inputs']['tractparams']['location']['name'] + src_path_tractparams=op.join(analysis_dir, fname_tractparams) + dst_path_tractparams = op.join(dstDir_input, "tractparams", "tractparams.csv") + # the tractparams check, at the analysis folder + tractparam_df,_ =read_df(src_path_tractparams) + check_tractparam(lc_config, sub, ses, tractparam_df) + if not op.exists(op.join(dstDir_input, "tractparams")): + os.makedirs(op.join(dstDir_input, "tractparams")) + # Create the symbolic links + force_symlink(src_path_tractparams, dst_path_tractparams, force) + + if "fsmask" in required_inputfiles: + + fname_fsmask=config_json_instance['inputs']['fsmask']['location']['name'] + src_path_fsmask = op.join(analysis_dir, fname_fsmask) + dst_path_fsmask=op.join(dstDir_input, "fsmask", fname_fsmask) + + if not op.exists(op.join(dstDir_input, "fsmask")): + os.makedirs(op.join(dstDir_input, "fsmask")) + force_symlink(src_path_fsmask, dst_path_fsmask, force) + if "qmap_zip" in required_inputfiles: + + fname_qmap_zip=config_json_instance['inputs']['qmap_zip']['location']['name'] + src_path_qmap_zip = op.join(analysis_dir, fname_qmap_zip) + dst_path_qmap_zip=op.join(dstDir_input, "qmap_zip", fname_qmap_zip) + + if not op.exists(op.join(dstDir_input, "qmap_zip")): + os.makedirs(op.join(dstDir_input, "qmap_zip")) + force_symlink(src_path_qmap_zip, dst_path_qmap_zip, force) + + return + diff --git a/src/prepare_inputs/prepare_prf.py b/old_lc/prepare_inputs/prepare_prf.py similarity index 100% rename from src/prepare_inputs/prepare_prf.py rename to old_lc/prepare_inputs/prepare_prf.py diff --git a/src/prepare_inputs/utils.py b/old_lc/prepare_inputs/utils.py similarity index 100% rename from src/prepare_inputs/utils.py rename to old_lc/prepare_inputs/utils.py diff --git a/src/__init__.py b/src/__init__.py old mode 100755 new mode 100644 index e2dee03..e69de29 --- a/src/__init__.py +++ b/src/__init__.py @@ -1,16 +0,0 @@ - - -""" -MIT License - -Copyright (c) 2020-2023 Garikoitz Lerma-Usabiaga -Copyright (c) 2020-2022 Mengxing Liu -Copyright (c) 2022-2023 Leandro Lecca -Copyright (c) 2022-2023 Yongning Lei -Copyright (c) 2023 David Linhardt -Copyright (c) 2023 Iñigo Tellaetxe - -Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. -""" \ No newline at end of file diff --git a/src/dask_scheduler_config.py b/src/dask_scheduler_config.py new file mode 100755 index 0000000..48edecd --- /dev/null +++ b/src/dask_scheduler_config.py @@ -0,0 +1,141 @@ +""" +MIT License + +Copyright (c) 2020-2023 Garikoitz Lerma-Usabiaga +Copyright (c) 2020-2022 Mengxing Liu +Copyright (c) 2022-2024 Leandro Lecca +Copyright (c) 2022-2023 Yongning Lei +Copyright (c) 2023 David Linhardt +Copyright (c) 2023 Iñigo Tellaetxe + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. +""" +import logging +import os +from dask import config +from dask.distributed import Client, LocalCluster +from dask_jobqueue import SGECluster, SLURMCluster + +logger = logging.getLogger("Launchcontainers") + +def initiate_cluster(jobqueue_config, optimal_n_workers, logdir): + ''' + Parameters + ---------- + jobqueue_config : dictionary + read the jobquene_yaml from the yaml file + optimal_n_workers : number of workers you give to the dask cluster + + Returns + ------- + cluster_by_config : dask cluster object + according to the jobquene config, we defined a cluster object we want to use. + + ''' + config.set(distributed__comm__timeouts__tcp="90s") + config.set(distributed__comm__timeouts__connect="90s") + config.set({"distributed.scheduler.allowed-failures": 50}) + config.set(admin__tick__limit="3h") + if not os.path.exists(logdir): + os.makedirs(logdir) + + if "sge" in jobqueue_config["manager"]: + envextra = [f"module load {jobqueue_config['apptainer']} " + #f"conda activate /export/home/tlei/tlei/conda_env/launchcontainers" + ] + cluster_by_config = SGECluster(cores = jobqueue_config["cores"], + memory = jobqueue_config["memory"], + queue = jobqueue_config["queue"], + name = jobqueue_config["name"], + # project = jobqueue_config["project"], + # processes = jobqueue_config["processes"], + # interface = jobqueue_config["interface"], + # nanny = None, + # local_directory = jobqueue_config["local-directory"], + # death_timeout = jobqueue_config["death-timeout"], + # worker_extra_args = None, + job_script_prologue = envextra, + # job_script_prologue = None, + # header_skip=None, + # job_directives_skip=None, + log_directory=logdir, + # shebang=jobqueue_config["shebang"], + # python=None, + # config_name=None, + # n_workers=optimal_n_workers, + # silence_logs=None, + # asynchronous=None, + # security=None, + # scheduler_options=None, + # scheduler_cls=None, + # shared_temp_directory=None, + # resource_spec=jobqueue_config["resource-spec"], + walltime=jobqueue_config["walltime"])#, + #job_extra_directives=job_extra_directives) + cluster_by_config.scale(jobs=optimal_n_workers) + + elif "slurm" in jobqueue_config["manager"]: + envextra = [f"module load {jobqueue_config['apptainer']} ",\ + f"export SINGULARITYENV_TMPDIR={jobqueue_config['tmpdir']}",\ + "export SINGULARITY_BIND=''",\ + "TMPDIR="] + cluster_by_config = SLURMCluster(cores = jobqueue_config["cores"], + memory = jobqueue_config["memory"], + job_script_prologue = envextra, + log_directory = logdir, + queue = jobqueue_config["queue"], + name = jobqueue_config["name"], + death_timeout = 300,#jobqueue_config["death-timeout"], + walltime=jobqueue_config["walltime"], + job_extra_directives = ["--export=ALL"]) + cluster_by_config.scale(jobs=optimal_n_workers) + elif "local" in jobqueue_config["manager"]: + launch_mode=jobqueue_config['launch_mode'] + if launch_mode=="parallel": + logger.debug("defining local cluster in parallel mode") + cluster_by_config = LocalCluster( + processes = jobqueue_config["processes"], + n_workers = optimal_n_workers, + threads_per_worker = jobqueue_config["threads_per_worker"], + memory_limit = jobqueue_config["memory_limit"], + ) + + else: + logger.error( + "dask configuration wasn't detected, " + "if you are using a cluster please look at " + "the jobqueue YAML example, modify it so it works in your cluster " + "and add it to ~/.config/dask " + "local configuration will be used." + "You can find a jobqueue YAML example in the pySPFM/jobqueue.yaml file." + ) + cluster_by_config = None + return cluster_by_config + + +def dask_scheduler(jobqueue_config, optimal_n_workers, logdir): + + if jobqueue_config is None: + logger.warning( + "dask configuration wasn't detected, " + "if you are using a cluster please look at " + "the jobqueue YAML example, modify it so it works in your cluster " + "and add it to ~/.config/dask " + "local configuration will be used." + + ) + cluster = None + else: + if not "local" in jobqueue_config["manager"]: + cluster = initiate_cluster(jobqueue_config, optimal_n_workers, logdir) + + elif "local" in jobqueue_config["manager"]: + launch_mode=jobqueue_config['launch_mode'] + if not launch_mode=="serial": + cluster = initiate_cluster(jobqueue_config, optimal_n_workers, logdir) + + client = None if cluster is None else Client(cluster) + + return client, cluster diff --git a/src/generate_command.py b/src/generate_command.py new file mode 100644 index 0000000..ef27c8a --- /dev/null +++ b/src/generate_command.py @@ -0,0 +1,207 @@ +import os.path as op +import logging + +logger = logging.getLogger("Launchcontainers") + +def dwi_command( + lc_config, sub, ses, ananlysis_dir +): + """Puts together the command to send to the container. + + Args: + lc_config (str): _description_ + sub (str): _description_ + ses (str): _description_ + ananlysis_dir (str): _description_ + + Raises: + ValueError: Raised in presence of a faulty config.yaml file, or when the formed command is not recognized. + + Returns: + _type_: _description_ + """ + + container = lc_config["general"]["container"] + host = lc_config["general"]["host"] + containerdir = lc_config["general"]["containerdir"] + + # Information relevant to the host and container + jobqueue_config = lc_config["host_options"][host] + version = lc_config["container_specific"][container]["version"] + use_module = jobqueue_config["use_module"] + bind_options = jobqueue_config["bind_options"] + + # Location of the Singularity Image File (.sif) + container_name = op.join(containerdir, f"{container}_{version}.sif") + + # Define the directory and the file name to output the log of each subject + logdir = op.join(ananlysis_dir, "sub-" + sub, "ses-" + ses, "output", "log") + logfilename = f"{logdir}/t-{container}-sub-{sub}_ses-{ses}" + + subject_derivatives_path = op.join(ananlysis_dir, f"sub-{sub}", f"ses-{ses}") + + # Define the cmd goes before the main command + bind_cmd = "" + for bind in bind_options: + bind_cmd += f"--bind {bind}:{bind} " + + env_cmd = "" + if host == "local": + if use_module == True: + env_cmd = f"module load {jobqueue_config['apptainer']} && " + + # Define the main command + if container in ["anatrois", "rtppreproc", "rtp-pipeline"]: + logger.info("\n" + "start to generate the DWI PIPELINE command") + logger.debug( + f"\n the sub is {sub} \n the ses is {ses} \n the analysis dir is {ananlysis_dir}" + ) + cmd = ( + f"{env_cmd}singularity run -e --no-home {bind_cmd}" + f"--bind {subject_derivatives_path}/input:/flywheel/v0/input:ro " + f"--bind {subject_derivatives_path}/output:/flywheel/v0/output " + f"--bind {subject_derivatives_path}/output/log/config.json:/flywheel/v0/config.json " + f"{container_name} 1>> {logfilename}.o 2>> {logfilename}.e " + ) + + if container == "freesurferator": + logger.info("\n" + "FREESURFERATOR command") + logger.debug( + f"\n the sub is {sub} \n the ses is {ses} \n the analysis dir is {ananlysis_dir}" + ) + cmd = ( + f"{env_cmd}apptainer run --containall --pwd /flywheel/v0 {bind_cmd}" + f"--bind {subject_derivatives_path}/input:/flywheel/v0/input:ro " + f"--bind {subject_derivatives_path}/output:/flywheel/v0/output " + f"--bind {subject_derivatives_path}/work:/flywheel/v0/work " + f"--bind {subject_derivatives_path}/output/log/config.json:/flywheel/v0/config.json " + f"--env PATH=/opt/freesurfer/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/freesurfer/fsfast/bin:/opt/freesurfer/tktools:/opt/freesurfer/mni/bin:/sbin:/bin:/opt/ants/bin " + f"--env LANG=C.UTF-8 " + f"--env GPG_KEY=E3FF2839C048B25C084DEBE9B26995E310250568 " + f"--env PYTHON_VERSION=3.9.15 " + f"--env PYTHON_PIP_VERSION=22.0.4 " + f"--env PYTHON_SETUPTOOLS_VERSION=58.1.0 " + f"--env PYTHON_GET_PIP_URL=https://github.com/pypa/get-pip/raw/66030fa03382b4914d4c4d0896961a0bdeeeb274/public/get-pip.py " + f"--env PYTHON_GET_PIP_SHA256=1e501cf004eac1b7eb1f97266d28f995ae835d30250bec7f8850562703067dc6 " + f"--env FLYWHEEL=/flywheel/v0 " + f"--env ANTSPATH=/opt/ants/bin/ " + f"--env FREESURFER_HOME=/opt/freesurfer " + f"--env FREESURFER=/opt/freesurfer " + f"--env DISPLAY=:50.0 " + f"--env FS_LICENSE=/flywheel/v0/work/license.txt " + f"--env OS=Linux " + f"--env FS_OVERRIDE=0 " + f"--env FSF_OUTPUT_FORMAT=nii.gz " + f"--env MNI_DIR=/opt/freesurfer/mni " + f"--env LOCAL_DIR=/opt/freesurfer/local " + f"--env FSFAST_HOME=/opt/freesurfer/fsfast " + f"--env MINC_BIN_DIR=/opt/freesurfer/mni/bin " + f"--env MINC_LIB_DIR=/opt/freesurfer/mni/lib " + f"--env MNI_DATAPATH=/opt/freesurfer/mni/data " + f"--env FMRI_ANALYSIS_DIR=/opt/freesurfer/fsfast " + f"--env PERL5LIB=/opt/freesurfer/mni/lib/perl5/5.8.5 " + f"--env MNI_PERL5LIB=/opt/freesurfer/mni/lib/perl5/5.8.5 " + f"--env XAPPLRESDIR=/opt/freesurfer/MCRv97/X11/app-defaults " + f"--env MCR_CACHE_ROOT=/flywheel/v0/output " + f"--env MCR_CACHE_DIR=/flywheel/v0/output/.mcrCache9.7 " + f"--env FSL_OUTPUT_FORMAT=nii.gz " + f"--env ANTS_VERSION=v2.4.2 " + f"--env QT_QPA_PLATFORM=xcb " + f"--env PWD=/flywheel/v0 " + f"{container_name} " + f"-c python run.py 1> {logfilename}.o 2> {logfilename}.e " + ) + + if container == "rtp2-preproc": + logger.info("\n" + "rtp2-preprc command") + logger.debug( + f"\n the sub is {sub} \n the ses is {ses} \n the analysis dir is {ananlysis_dir}" + ) + + cmd = ( + f"{env_cmd}apptainer run --containall --pwd /flywheel/v0 {bind_cmd}" + f"--bind {subject_derivatives_path}/input:/flywheel/v0/input:ro " + f"--bind {subject_derivatives_path}/output:/flywheel/v0/output " + # f"--bind {subject_derivatives_path}/work:/flywheel/v0/work " + f"--bind {subject_derivatives_path}/output/log/config.json:/flywheel/v0/config.json " + f"--env FLYWHEEL=/flywheel/v0 " + f"--env LD_LIBRARY_PATH=/opt/fsl/lib: " + f"--env FSLWISH=/opt/fsl/bin/fslwish " + f"--env FSLTCLSH=/opt/fsl/bin/fsltclsh " + f"--env FSLMULTIFILEQUIT=TRUE " + f"--env FSLOUTPUTTYPE=NIFTI_GZ " + f"--env FSLDIR=/opt/fsl " + f"--env FREESURFER_HOME=/opt/freesurfer " + f"--env ARTHOME=/opt/art " + f"--env ANTSPATH=/opt/ants/bin " + f"--env PYTHON_GET_PIP_SHA256=1e501cf004eac1b7eb1f97266d28f995ae835d30250bec7f8850562703067dc6 " + f"--env PYTHON_GET_PIP_URL=https://github.com/pypa/get-pip/raw/66030fa03382b4914d4c4d0896961a0bdeeeb274/public/get-pip.py " + f"--env PYTHON_PIP_VERSION=22.0.4 " + f"--env PYTHON_VERSION=3.9.15 " + f"--env GPG_KEY=E3FF2839C048B25C084DEBE9B26995E310250568 " + f"--env LANG=C.UTF-8 " + f"--env PATH=/opt/mrtrix3/bin:/opt/ants/bin:/opt/art/bin:/opt/fsl/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin " + f"--env PYTHON_SETUPTOOLS_VERSION=58.1.0 " + f"--env DISPLAY=:50.0 " + f"--env QT_QPA_PLATFORM=xcb " + f"--env FS_LICENSE=/opt/freesurfer/license.txt " + f"--env PWD=/flywheel/v0 " + f"{container_name} " + f"-c python run.py 1> {logfilename}.o 2> {logfilename}.e " + ) + + if container == "rtp2-pipeline": + logger.info("\n" + "rtp2-pipeline command") + logger.debug( + f"\n the sub is {sub} \n the ses is {ses} \n the analysis dir is {ananlysis_dir}" + ) + + cmd = ( + f"{env_cmd}apptainer run --containall --pwd /flywheel/v0 {bind_cmd}" + f"--bind {subject_derivatives_path}/input:/flywheel/v0/input:ro " + f"--bind {subject_derivatives_path}/output:/flywheel/v0/output " + # f"--bind {subject_derivatives_path}/work:/flywheel/v0/work " + f"--bind {subject_derivatives_path}/output/log/config.json:/flywheel/v0/config.json " + f"--env PATH=/opt/mrtrix3/bin:/opt/ants/bin:/opt/art/bin:/opt/fsl/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin " + f"--env LANG=C.UTF-8 " + f"--env GPG_KEY=E3FF2839C048B25C084DEBE9B26995E310250568 " + f"--env PYTHON_VERSION=3.9.15 " + f"--env PYTHON_PIP_VERSION=22.0.4 " + f"--env PYTHON_SETUPTOOLS_VERSION=58.1.0 " + f"--env PYTHON_GET_PIP_URL=https://github.com/pypa/get-pip/raw/66030fa03382b4914d4c4d0896961a0bdeeeb274/public/get-pip.py " + f"--env PYTHON_GET_PIP_SHA256=1e501cf004eac1b7eb1f97266d28f995ae835d30250bec7f8850562703067dc6 " + f"--env ANTSPATH=/opt/ants/bin " + f"--env ARTHOME=/opt/art " + f"--env FREESURFER_HOME=/opt/freesurfer " + f"--env FSLDIR=/opt/fsl " + f"--env FSLOUTPUTTYPE=NIFTI_GZ " + f"--env FSLMULTIFILEQUIT=TRUE " + f"--env FSLTCLSH=/opt/fsl/bin/fsltclsh " + f"--env FSLWISH=/opt/fsl/bin/fslwish " + f"--env LD_LIBRARY_PATH=/opt/mcr/v99/runtime/glnxa64:/opt/mcr/v99/bin/glnxa64:/opt/mcr/v99/sys/os/glnxa64:/opt/mcr/v99/extern/bin/glnxa64:/opt/fsl/lib: " + f"--env FLYWHEEL=/flywheel/v0 " + f"--env TEMPLATES=/templates " + f"--env XAPPLRESDIR=/opt/mcr/v99/X11/app-defaults " + f"--env MCR_CACHE_FOLDER_NAME=/flywheel/v0/output/.mcrCache9.9 " + f"--env MCR_CACHE_ROOT=/flywheel/v0/output " + f"--env MRTRIX_TMPFILE_DIR=/flywheel/v0/output/tmp " + f"--env PWD=/flywheel/v0 " + f"{container_name} " + f"-c python run.py 1> {logfilename}.o 2> {logfilename}.e " + ) + + # If after all configuration, we do not have command, raise an error + if cmd is None: + logger.error( + "\n" + + f"the DWI PIPELINE command is not assigned, please check your config.yaml[general][host] session\n" + ) + raise ValueError("cmd is not defined, aborting") + + + return cmd +def py_command(): + #env_cmd = "conda init && conda activate votcloc &&" + env_cmd= 'export PYTHONPATH=/bcbl/home/home_n-z/tlei/soft/MRIworkflow/Package/src:$PYTHONPATH ' + + return env_cmd \ No newline at end of file diff --git a/src/launch.py b/src/launch.py index a3e6144..9efe6ed 100755 --- a/src/launch.py +++ b/src/launch.py @@ -15,330 +15,27 @@ """ import os import os.path as op -import subprocess as sp -from subprocess import Popen -import numpy as np import logging -import math - -# modules in lc - +import dask from bids import BIDSLayout -from dask.distributed import progress - -from prepare_inputs import dask_scheduler_config as dsq -from prepare_inputs import prepare as prepare -from prepare_inputs import utils as do - +import dask_scheduler_config as config_dask +import utils as do +import generate_command as gen_cmd +from prepare_inputs import prepare +import subprocess +from pyfunc import l1_glm logger = logging.getLogger("Launchcontainers") - -# %% launchcontainers -def generate_cmd( - lc_config, sub, ses, ananlysis_dir, lst_container_specific_configs, run_lc -): - """Puts together the command to send to the container. - - Args: - lc_config (str): _description_ - sub (str): _description_ - ses (str): _description_ - ananlysis_dir (str): _description_ - lst_container_specific_configs (list): _description_ - run_lc (str): _description_ - - Raises: - ValueError: Raised in presence of a faulty config.yaml file, or when the formed command is not recognized. - - Returns: - _type_: _description_ - """ - - # Relevant directories - # All other relevant directories stem from this one - basedir = lc_config["general"]["basedir"] - - homedir = os.path.join(basedir, "singularity_home") - container = lc_config["general"]["container"] - host = lc_config["general"]["host"] - containerdir = lc_config["general"]["containerdir"] - - # Information relevant to the host and container - jobqueue_config = lc_config["host_options"][host] - version = lc_config["container_specific"][container]["version"] - use_module = jobqueue_config["use_module"] - bind_options = jobqueue_config["bind_options"] - - # Location of the Singularity Image File (.sif) - container_name = os.path.join(containerdir, f"{container}_{version}.sif") - # Define the directory and the file name to output the log of each subject - logdir = os.path.join(ananlysis_dir, "sub-" + sub, "ses-" + ses, "output", "log") - logfilename = f"{logdir}/t-{container}-sub-{sub}_ses-{ses}" - - path_to_sub_derivatives = os.path.join(ananlysis_dir, f"sub-{sub}", f"ses-{ses}") - - bind_cmd = "" - for bind in bind_options: - bind_cmd += f"--bind {bind}:{bind} " - - env_cmd = "" - if host == "local": - if use_module == True: - env_cmd = f"module load {jobqueue_config['apptainer']} &&" - - if container in ["anatrois", "rtppreproc", "rtp-pipeline"]: - logger.info("\n" + "start to generate the DWI PIPELINE command") - logger.debug( - f"\n the sub is {sub} \n the ses is {ses} \n the analysis dir is {ananlysis_dir}" - ) - - cmd = ( - f"{env_cmd} singularity run -e --no-home {bind_cmd}" - f"--bind {path_to_sub_derivatives}/input:/flywheel/v0/input:ro " - f"--bind {path_to_sub_derivatives}/output:/flywheel/v0/output " - f"--bind {path_to_sub_derivatives}/output/log/config.json:/flywheel/v0/config.json " - f"{container_name} 1>> {logfilename}.o 2>> {logfilename}.e " - ) - - if container == "freesurferator": - logger.info("\n" + "FREESURFERATOR command") - logger.debug( - f"\n the sub is {sub} \n the ses is {ses} \n the analysis dir is {ananlysis_dir}" - ) - - cmd = ( - f"{env_cmd} apptainer run --containall --pwd /flywheel/v0 {bind_cmd}" - f"--bind {path_to_sub_derivatives}/input:/flywheel/v0/input:ro " - f"--bind {path_to_sub_derivatives}/output:/flywheel/v0/output " - f"--bind {path_to_sub_derivatives}/work:/flywheel/v0/work " - f"--bind {path_to_sub_derivatives}/output/log/config.json:/flywheel/v0/config.json " - f"--env PATH=/opt/freesurfer/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/freesurfer/fsfast/bin:/opt/freesurfer/tktools:/opt/freesurfer/mni/bin:/sbin:/bin:/opt/ants/bin " - f"--env LANG=C.UTF-8 " - f"--env GPG_KEY=E3FF2839C048B25C084DEBE9B26995E310250568 " - f"--env PYTHON_VERSION=3.9.15 " - f"--env PYTHON_PIP_VERSION=22.0.4 " - f"--env PYTHON_SETUPTOOLS_VERSION=58.1.0 " - f"--env PYTHON_GET_PIP_URL=https://github.com/pypa/get-pip/raw/66030fa03382b4914d4c4d0896961a0bdeeeb274/public/get-pip.py " - f"--env PYTHON_GET_PIP_SHA256=1e501cf004eac1b7eb1f97266d28f995ae835d30250bec7f8850562703067dc6 " - f"--env FLYWHEEL=/flywheel/v0 " - f"--env ANTSPATH=/opt/ants/bin/ " - f"--env FREESURFER_HOME=/opt/freesurfer " - f"--env FREESURFER=/opt/freesurfer " - f"--env DISPLAY=:50.0 " - f"--env FS_LICENSE=/flywheel/v0/work/license.txt " - f"--env OS=Linux " - f"--env FS_OVERRIDE=0 " - f"--env FSF_OUTPUT_FORMAT=nii.gz " - f"--env MNI_DIR=/opt/freesurfer/mni " - f"--env LOCAL_DIR=/opt/freesurfer/local " - f"--env FSFAST_HOME=/opt/freesurfer/fsfast " - f"--env MINC_BIN_DIR=/opt/freesurfer/mni/bin " - f"--env MINC_LIB_DIR=/opt/freesurfer/mni/lib " - f"--env MNI_DATAPATH=/opt/freesurfer/mni/data " - f"--env FMRI_ANALYSIS_DIR=/opt/freesurfer/fsfast " - f"--env PERL5LIB=/opt/freesurfer/mni/lib/perl5/5.8.5 " - f"--env MNI_PERL5LIB=/opt/freesurfer/mni/lib/perl5/5.8.5 " - f"--env XAPPLRESDIR=/opt/freesurfer/MCRv97/X11/app-defaults " - f"--env MCR_CACHE_ROOT=/flywheel/v0/output " - f"--env MCR_CACHE_DIR=/flywheel/v0/output/.mcrCache9.7 " - f"--env FSL_OUTPUT_FORMAT=nii.gz " - f"--env ANTS_VERSION=v2.4.2 " - f"--env QT_QPA_PLATFORM=xcb " - f"--env PWD=/flywheel/v0 " - f"{container_name} " - f"-c python run.py 1> {logfilename}.o 2> {logfilename}.e " - ) - - if container == "rtp2-preproc": - logger.info("\n" + "rtp2-preprc command") - logger.debug( - f"\n the sub is {sub} \n the ses is {ses} \n the analysis dir is {ananlysis_dir}" - ) - - cmd = ( - f"{env_cmd} apptainer run --containall --pwd /flywheel/v0 {bind_cmd}" - f"--bind {path_to_sub_derivatives}/input:/flywheel/v0/input:ro " - f"--bind {path_to_sub_derivatives}/output:/flywheel/v0/output " - # f"--bind {path_to_sub_derivatives}/work:/flywheel/v0/work " - f"--bind {path_to_sub_derivatives}/output/log/config.json:/flywheel/v0/config.json " - f"--env FLYWHEEL=/flywheel/v0 " - f"--env LD_LIBRARY_PATH=/opt/fsl/lib: " - f"--env FSLWISH=/opt/fsl/bin/fslwish " - f"--env FSLTCLSH=/opt/fsl/bin/fsltclsh " - f"--env FSLMULTIFILEQUIT=TRUE " - f"--env FSLOUTPUTTYPE=NIFTI_GZ " - f"--env FSLDIR=/opt/fsl " - f"--env FREESURFER_HOME=/opt/freesurfer " - f"--env ARTHOME=/opt/art " - f"--env ANTSPATH=/opt/ants/bin " - f"--env PYTHON_GET_PIP_SHA256=1e501cf004eac1b7eb1f97266d28f995ae835d30250bec7f8850562703067dc6 " - f"--env PYTHON_GET_PIP_URL=https://github.com/pypa/get-pip/raw/66030fa03382b4914d4c4d0896961a0bdeeeb274/public/get-pip.py " - f"--env PYTHON_PIP_VERSION=22.0.4 " - f"--env PYTHON_VERSION=3.9.15 " - f"--env GPG_KEY=E3FF2839C048B25C084DEBE9B26995E310250568 " - f"--env LANG=C.UTF-8 " - f"--env PATH=/opt/mrtrix3/bin:/opt/ants/bin:/opt/art/bin:/opt/fsl/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin " - f"--env PYTHON_SETUPTOOLS_VERSION=58.1.0 " - f"--env DISPLAY=:50.0 " - f"--env QT_QPA_PLATFORM=xcb " - f"--env FS_LICENSE=/opt/freesurfer/license.txt " - f"--env PWD=/flywheel/v0 " - f"{container_name} " - f"-c python run.py 1> {logfilename}.o 2> {logfilename}.e " - ) - - if container == "rtp2-pipeline": - logger.info("\n" + "rtp2-pipeline command") - logger.debug( - f"\n the sub is {sub} \n the ses is {ses} \n the analysis dir is {ananlysis_dir}" - ) - - cmd = ( - f"{env_cmd} apptainer run --containall --pwd /flywheel/v0 {bind_cmd}" - f"--bind {path_to_sub_derivatives}/input:/flywheel/v0/input:ro " - f"--bind {path_to_sub_derivatives}/output:/flywheel/v0/output " - # f"--bind {path_to_sub_derivatives}/work:/flywheel/v0/work " - f"--bind {path_to_sub_derivatives}/output/log/config.json:/flywheel/v0/config.json " - f"--env PATH=/opt/mrtrix3/bin:/opt/ants/bin:/opt/art/bin:/opt/fsl/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin " - f"--env LANG=C.UTF-8 " - f"--env GPG_KEY=E3FF2839C048B25C084DEBE9B26995E310250568 " - f"--env PYTHON_VERSION=3.9.15 " - f"--env PYTHON_PIP_VERSION=22.0.4 " - f"--env PYTHON_SETUPTOOLS_VERSION=58.1.0 " - f"--env PYTHON_GET_PIP_URL=https://github.com/pypa/get-pip/raw/66030fa03382b4914d4c4d0896961a0bdeeeb274/public/get-pip.py " - f"--env PYTHON_GET_PIP_SHA256=1e501cf004eac1b7eb1f97266d28f995ae835d30250bec7f8850562703067dc6 " - f"--env ANTSPATH=/opt/ants/bin " - f"--env ARTHOME=/opt/art " - f"--env FREESURFER_HOME=/opt/freesurfer " - f"--env FSLDIR=/opt/fsl " - f"--env FSLOUTPUTTYPE=NIFTI_GZ " - f"--env FSLMULTIFILEQUIT=TRUE " - f"--env FSLTCLSH=/opt/fsl/bin/fsltclsh " - f"--env FSLWISH=/opt/fsl/bin/fslwish " - f"--env LD_LIBRARY_PATH=/opt/mcr/v99/runtime/glnxa64:/opt/mcr/v99/bin/glnxa64:/opt/mcr/v99/sys/os/glnxa64:/opt/mcr/v99/extern/bin/glnxa64:/opt/fsl/lib: " - f"--env FLYWHEEL=/flywheel/v0 " - f"--env TEMPLATES=/templates " - f"--env XAPPLRESDIR=/opt/mcr/v99/X11/app-defaults " - f"--env MCR_CACHE_FOLDER_NAME=/flywheel/v0/output/.mcrCache9.9 " - f"--env MCR_CACHE_ROOT=/flywheel/v0/output " - f"--env MRTRIX_TMPFILE_DIR=/flywheel/v0/output/tmp " - f"--env PWD=/flywheel/v0 " - f"{container_name} " - f"-c python run.py 1> {logfilename}.o 2> {logfilename}.e " - ) - - # Check which container we are using, and define the command accordingly - if container == "fmriprep": - logger.info("\n" + f"start to generate the FMRIPREP command") - - nthreads = lc_config["container_specific"][container]["nthreads"] - mem = lc_config["container_specific"][container]["mem"] - fs_license = lc_config["container_specific"][container]["fs_license"] - containerdir = lc_config["general"]["containerdir"] - container_path = os.path.join( - containerdir, - f"{container}_{lc_config['container_specific'][container]['version']}.sif", - ) - precommand = f"mkdir -p {homedir}; " f"unset PYTHONPATH; " - if "local" == host: - cmd = ( - precommand + f"singularity run " - f"-H {homedir} " - f"-B {basedir}:/base -B {fs_license}:/license " - f"--cleanenv {container_path} " - f"-w {ananlysis_dir} " - f"/base/BIDS {ananlysis_dir} participant " - f"--participant-label sub-{sub} " - f"--skip-bids-validation " - f"--output-spaces func fsnative fsaverage T1w MNI152NLin2009cAsym " - f"--dummy-scans 0 " - f"--use-syn-sdc " - f"--fs-license-file /license/license.txt " - f"--nthreads {nthreads} " - f"--omp-nthreads {nthreads} " - f"--stop-on-first-crash " - f"--mem_mb {(mem*1000)-5000} " - ) - if host in ["BCBL", "DIPC"]: - cmd = ( - precommand + f"singularity run " - f"-H {homedir} " - f"-B {basedir}:/base -B {fs_license}:/license " - f"--cleanenv {container_path} " - f"-w {ananlysis_dir} " - f"/base/BIDS {ananlysis_dir} participant " - f"--participant-label sub-{sub} " - f"--skip-bids-validation " - f"--output-spaces func fsnative fsaverage T1w MNI152NLin2009cAsym " - f"--dummy-scans 0 " - f"--use-syn-sdc " - f"--fs-license-file /license/license.txt " - f"--nthreads {nthreads} " - f"--omp-nthreads {nthreads} " - f"--stop-on-first-crash " - f"--mem_mb {(mem*1000)-5000} " - ) - - if container in ["prfprepare", "prfreport", "prfanalyze-vista"]: - config_name = lc_config["container_specific"][container]["config_name"] - homedir = os.path.join(basedir, "singularity_home") - container_path = os.path.join( - containerdir, - f"{container}_{lc_config['container_specific'][container]['version']}.sif", - ) - if host in ["BCBL", "DIPC"]: - cmd = ( - "unset PYTHONPATH; " - f"singularity run " - f"-H {homedir} " - f"-B {basedir}/derivatives/fmriprep:/flywheel/v0/input " - f"-B {ananlysis_dir}:/flywheel/v0/output " - f"-B {basedir}/BIDS:/flywheel/v0/BIDS " - f"-B {ananlysis_dir}/{config_name}.json:/flywheel/v0/config.json " - f"-B {basedir}/license/license.txt:/opt/freesurfer/.license " - f"--cleanenv {container_path} " - ) - elif host == "local": - cmd = ( - "unset PYTHONPATH; " - f"singularity run " - f"-H {homedir} " - f"-B {basedir}/derivatives/fmriprep:/flywheel/v0/input " - f"-B {ananlysis_dir}:/flywheel/v0/output " - f"-B {basedir}/BIDS:/flywheel/v0/BIDS " - f"-B {ananlysis_dir}/{config_name}.json:/flywheel/v0/config.json " - f"-B {basedir}/license/license.txt:/opt/freesurfer/.license " - f"--cleanenv {container_path} " - ) - # If after all configuration, we do not have command, raise an error - if cmd is None: - logger.error( - "\n" - + f"the DWI PIPELINE command is not assigned, please check your config.yaml[general][host] session\n" - ) - raise ValueError("cmd is not defined, aborting") - - # GLU: I don't think this is right, run is done below, I will make it work just for local but not in here, - # it is good that this function just creates the cmd, I would keep it like that - if run_lc: - return(sp.run(cmd, shell = True)) - else: - return cmd - # sp.run(cmd, shell=True) - #return cmd - - -# %% the launchcontainer -def launchcontainer( +def prepare_dask_futures( ananlysis_dir, lc_config, sub_ses_list, - parser_namespace, - path_to_analysis_container_specific_config + dict_store_cs_configs ): """ - This function launches containers generically in different Docker/Singularity HPCs - This function is going to assume that all files are where they need to be. + This function have 2 function + 1. prepare the command and print it + 2. append the command into a list for dask to gather them and launch them Args: ananlysis_dir (str): _description_ @@ -349,337 +46,321 @@ def launchcontainer( logger.info("\n" + "#####################################################\n") # Get the host and jobqueue config info from the config.yaml file + container=lc_config["general"]["container"] + containerdir=lc_config["general"]["containerdir"] host = lc_config["general"]["host"] jobqueue_config = lc_config["host_options"][host] - if host == "local": - launch_mode = jobqueue_config["launch_mode"] - logger.debug(f"\n,, this is the job_queue config {jobqueue_config}") - - force = lc_config["general"]["force"] + logger.debug(f"\n This is the job_queue config {jobqueue_config}") logdir = os.path.join(ananlysis_dir, "daskworker_log") - + launch_mode=jobqueue_config['launch_mode'] # Count how many jobs we need to launch from sub_ses_list - n_jobs = np.sum(sub_ses_list.RUN == "True") - - run_lc = parser_namespace.run_lc - - lc_configs = [] - subs = [] - sess = [] - dir_analysiss = [] - paths_to_analysis_config_json = [] - run_lcs = [] - # PREPARATION mode - if not run_lc: + n_jobs = sub_ses_list.shape[0] + # n_worker should be constrained by n_cores you have in total and core_per_worker + # add a check here + total_core_avail=jobqueue_config["n_cores"] + threads_per_worker=jobqueue_config["threads_per_worker"] + # Calculate the optimal number of workers + optimal_n_workers = min(total_core_avail // threads_per_worker, n_jobs) + + # Echo the command + # if in local and you want to do it serially + # you don't need set up dask LocalCluster or dask Client, you just set up the scheduler to synchronous and use dask.compute() to compute the job + # import dask dask.config.set(scheduler='synchronous') # overwrite default with single-threaded scheduler + # if in local and you want to do it parallel, you need to consider total cores and also you number of jobs + # if in SGE or SLURM, you will never do it in serial, so you will use job-queue to set up your job scripts + logger.critical( + f"\n Launchcontainers.py was run in PREPARATION mode (without option --run_lc)\n" + f"Please check that: \n" + f" (1) launchcontainers.py prepared the input data properly\n" + f" (2) the command created for each subject is properly formed\n" + f" (you can copy the command for one subject and launch it " + f"on the prompt before you launch multiple subjects\n" + f" (3) Once the check is done, launch the jobs by adding --run_lc to the first command you executed.\n" + ) + launch_mode=jobqueue_config['launch_mode'] + if "local" in jobqueue_config["manager"] and launch_mode=="serial": + dask.config.set(scheduler="single-threaded") + else: + # If the host is not local, print the job script to be launched in the cluster. + client, cluster = config_dask.dask_scheduler(jobqueue_config, optimal_n_workers, logdir) + current_scheduler = dask.config.get('scheduler') + + + logger.info(f"The scheduler after in the launch is {dask.config.get('scheduler')} ") + + if host != "local": logger.critical( - f"\nlaunchcontainers.py was run in PREPARATION mode (without option --run_lc)\n" - f"Please check that: \n" - f" (1) launchcontainers.py prepared the input data properly\n" - f" (2) the command created for each subject is properly formed\n" - f" (you can copy the command for one subject and launch it " - f"on the prompt before you launch multiple subjects\n" - f" (3) Once the check is done, launch the jobs by adding --run_lc to the first command you executed.\n" + f"The cluster job script for this command is:\n" + f"{cluster.job_script()}" ) - # If the host is not local, print the job script to be launched in the cluster. - if host != "local" or (host == "local" and launch_mode == "dask_worker"): - client, cluster = create_cluster_client(jobqueue_config, n_jobs, logdir) - if host != "local": - logger.critical( - f"The cluster job script for this command is:\n" - f"{cluster.job_script()}" - ) - elif host == "local" and launch_mode == "dask_worker": - logger.critical( - f"The cluster job script for this command is:\n" - f"{cluster}" - ) + client.close() + cluster.close() + logger.info(f"Client is {client} \n Cluster is {cluster}") + + elif host == "local": + if launch_mode == "parallel": + logger.critical( + f"The cluster job script for this command is:\n" + f"{cluster}" + ) + client.close() + cluster.close() + else: + logger.critical( + f"Your launch_mode is {launch_mode}, it will not controlled by dask but go ahead" + ) + + # Iterate over the provided subject list - commands = list() - for row in sub_ses_list.itertuples(index=True, name="Pandas"): - sub = row.sub - ses = row.ses - RUN = row.RUN - dwi = row.dwi + + if container in [ + "anatrois", + "rtppreproc", + "rtp-pipeline", + "freesurferator", + "rtp2-preproc", + "rtp2-pipeline" + ]: + future_dict={} + future_dict['optimal_n_workers']=optimal_n_workers + future_dict['container']=container + future_dict['logdir']=logdir + lc_configs = [] + subs = [] + sess = [] + analysis_dirs = [] + commands = [] + for row in sub_ses_list.itertuples(index=True, name="Pandas"): + sub = row.sub + ses = row.ses - if RUN == "True": # Append config, subject, session, and path info in corresponding lists lc_configs.append(lc_config) subs.append(sub) sess.append(ses) - dir_analysiss.append(ananlysis_dir) - paths_to_analysis_config_json.append( - path_to_analysis_container_specific_config[0] - ) - run_lcs.append(run_lc) + analysis_dirs.append(ananlysis_dir) # This cmd is only for print the command - command = generate_cmd( + command = gen_cmd.dwi_command( lc_config, sub, ses, - ananlysis_dir, - path_to_analysis_container_specific_config, - False # set to False to print the command + ananlysis_dir ) commands.append(command) - if not run_lc: - logger.critical( - f"\nCOMMAND for subject-{sub}, and session-{ses}:\n" - f"{command}\n\n" - ) - - if not run_lc and lc_config["general"]["container"] == "fmriprep": - logger.critical( - f"\n" - f"fmriprep now can not deal with session specification, " - f"so the analysis are running on all sessions of the " - f"subject you are specifying" - ) - - # RUN mode - if run_lc and host != "local": - run_dask( - jobqueue_config, - n_jobs, - logdir, - lc_configs, - subs, - sess, - dir_analysiss, - paths_to_analysis_config_json, - run_lcs - ) - - if run_lc and host == "local": - if launch_mode == "parallel": - k = 0 - njobs = jobqueue_config["njobs"] - if njobs == "" or njobs is None: - njobs = 2 - steps = math.ceil(len(commands)/njobs) - logger.critical( - f"\nLocally launching {len(commands)} jobs in parallel every {njobs} jobs " - f"in {steps} steps, check your server's memory, some jobs might fail\n" - ) - for stp in range(steps): - if stp == range(steps)[-1] and (k+njobs) <= len(commands): - selected_commands = commands[k:len(commands)] - else: - selected_commands = commands[k:k+njobs] - logger.critical( - f"JOBS in step {stp+1}:\n{selected_commands}\n" - ) - procs = [ Popen(i, shell=True) for i in selected_commands ] - for p in procs: - p.wait() - k = k+njobs - - elif launch_mode == "dask_worker": - logger.critical( - f"\nLocally launching {len(commands)} jobs with dask-worker, " - f" keep an eye on your server's memory\n" - ) - run_dask( - jobqueue_config, - n_jobs, - logdir, - lc_configs, - subs, - sess, - dir_analysiss, - paths_to_analysis_config_json, - run_lcs - ) - elif launch_mode == "serial": # Run this with dask... + logger.critical( - f"Locally launching {len(commands)} jobs in series, this might take a lot of time" + f"\nCOMMAND for subject-{sub}, and session-{ses}:\n" + f"{command}\n\n" ) - serial_cmd = "" - for i, cmd in enumerate(commands): - if i == 0: - serial_cmd = cmd - else: - serial_cmd += f" && {cmd}" + + future_dict['lc_configs']=lc_configs + future_dict['subs']=subs + future_dict['sess']=sess + future_dict['analysis_dirs']=analysis_dirs + future_dict['commands']=commands + + elif container in ['l1_glm']: + + commands=[] + future_dict={} + future_dict['optimal_n_workers']=optimal_n_workers + future_dict['container']=container + future_dict['logdir']=logdir + env_cmd=gen_cmd.py_command() + for row in sub_ses_list.itertuples(index=True, name="Pandas"): + sub = row.sub + ses = row.ses + + command= f"{env_cmd}&& python {containerdir}/l1_glm.py --subject {sub} --session {ses} --lc_config {dict_store_cs_configs['lc_yaml_path']} --l1_glm_yaml {dict_store_cs_configs['config_path']} " + commands.append(command) logger.critical( - f"LAUNCHING SUPER SERIAL {len(commands)} JOBS:\n{serial_cmd}\n" + f"\nCOMMAND for subject-{sub}, and session-{ses}:\n" + f"{command}\n\n" ) - sp.run(serial_cmd, shell=True) + future_dict['commands']=commands + return future_dict +def run_command(cmd, cmd_id): + """ + Run a Singularity (Apptainer) command using subprocess and log stdout and stderr. + Args: + cmd (str): The Singularity command to run. + cmd_id (int): Unique identifier for the command to distinguish log entries. + Returns: + tuple: stdout and stderr of the command. + """ + logger.info(f"Executing command {cmd_id}: {cmd}") + process = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True) - return + stdout, stderr = process.communicate() -def create_cluster_client(jobqueue_config, n_jobs, logdir): - client, cluster = dsq.dask_scheduler(jobqueue_config, n_jobs, logdir) - return client, cluster + if stdout: + logger.info(f"Command {cmd_id} stdout: {stdout.strip()}") + if stderr: + logger.error(f"Command {cmd_id} stderr: {stderr.strip()}") + return stdout.strip(), stderr.strip() def run_dask( - jobqueue_config, - n_jobs, - logdir, - lc_configs, - subs, - sess, - dir_analysiss, - paths_to_analysis_config_json, - run_lcs + jobqueue_config, + future_dict ): - client, cluster = create_cluster_client(jobqueue_config, n_jobs, logdir) - logger.info( - "---this is the cluster and client\n" + f"{client} \n cluster: {cluster} \n" - ) - print(subs) - print(sess) - # Compose the command to run in the cluster - futures = client.map( - generate_cmd, - lc_configs, - subs, - sess, - dir_analysiss, - paths_to_analysis_config_json, - run_lcs - ) - # Record the progress - progress(futures) - # Get the info and report it in the logger - results = client.gather(futures) - logger.info(results) - logger.info("###########") - # Close the connection with the client and the cluster, and inform about it - client.close() - cluster.close() + optimal_n_workers=future_dict['optimal_n_workers'] + commands=future_dict['commands'] + launch_mode=jobqueue_config['launch_mode'] + logdir=future_dict['logdir'] + if "local" in jobqueue_config["manager"] and launch_mode=="serial" : + dask.config.set(scheduler="single-threaded") + tasks=[dask.delayed(run_command)(cmd,i) for i, cmd in enumerate(commands)] + results=dask.compute(*tasks) + # Print the results + print("Results:", results) + for stdout, stderr in results: + if stdout: + logger.info(f"Container stdout: {stdout}") + if stderr: + logger.error(f"Container stderr: {stderr}") + logger.critical(f"launchcontainer is running in local serial mode") + else: + # If the host is not local, print the job script to be launched in the cluster. + client, cluster = config_dask.dask_scheduler(jobqueue_config, optimal_n_workers, logdir) + logger.info( + "---this is the cluster and client\n" + f"{client} \n cluster: {cluster} \n" + ) + + # Compose the command to run in the cluster + futures = client.map(run_command,commands, range(len(commands))) + logger.info("Dask dashboard is available at:", cluster.dashboard_link) - logger.critical("\n" + "launchcontainer finished, all the jobs are done") - #return client, cluster + # Wait for all jobs to complete + results = client.gather(futures) + # Print job results + for result in results: + print(result) + for stdout, stderr in results: + if stdout: + logger.info(f"Container stdout: {stdout}") + if stderr: + logger.error(f"Container stderr: {stderr}") + client.close() + cluster.close() + logger.critical("\n" + "launchcontainer finished, all the jobs are done") # %% main() def main(): - parser_namespace,parse_dict = do.get_parser() - download_configs=parser_namespace.download_configs - # Check if download_configs argument is provided - if download_configs: - # Ensure the directory exists - if not os.path.exists(download_configs): - os.makedirs(download_configs) - - # Use the mocked version function for testing - launchcontainers_version = do.get_mocked_launchcontainers_version() - - if launchcontainers_version is None: - raise ValueError("Unable to determine launchcontainers version.") - do.download_configs(launchcontainers_version, download_configs) - else: - # Proceed with normal main functionality - print("Executing main functionality with arguments") - # Your main function logic here - # e.g., launch_container(args.other_arg) # read ymal and setup the launchcontainer program - - lc_config_path = parser_namespace.lc_config - lc_config = do.read_yaml(lc_config_path) - - run_lc = parser_namespace.run_lc - verbose = parser_namespace.verbose - debug = parser_namespace.debug - + parser_namespace,_ = do.get_parser() + lc_config_path = parser_namespace.lc_config + lc_config = do.read_yaml(lc_config_path) + run_lc = parser_namespace.run_lc + verbose = parser_namespace.verbose + debug = parser_namespace.debug + # Get general information from the config.yaml file + basedir=lc_config["general"]["basedir"] + bidsdir_name=lc_config["general"]["bidsdir_name"] + container=lc_config["general"]["container"] + analysis_name=lc_config["general"]["analysis_name"] + host=lc_config["general"]["host"] + print_command_only=lc_config["general"]["print_command_only"] + log_dir=lc_config["general"]["log_dir"] + log_filename=lc_config["general"]["log_filename"] + + version = lc_config["container_specific"][container]["version"] + jobqueue_config = lc_config["host_options"][host] + # get stuff from subseslist for future jobs scheduling + sub_ses_list_path = parser_namespace.sub_ses_list + sub_ses_list,num_of_true_run = do.read_df(sub_ses_list_path) - # Get general information from the config.yaml file - basedir=lc_config["general"]["basedir"] - bidsdir_name=lc_config["general"]["bidsdir_name"] - containerdir=lc_config["general"]["containerdir"] - container=lc_config["general"]["container"] - analysis_name=lc_config["general"]["analysis_name"] - host=lc_config["general"]["host"] - force=lc_config["general"]["force"] - print_command_only=lc_config["general"]["print_command_only"] - log_dir=lc_config["general"]["log_dir"] - log_filename=lc_config["general"]["log_filename"] - - version = lc_config["container_specific"][container]["version"] - # get stuff from subseslist for future jobs scheduling - sub_ses_list_path = parser_namespace.sub_ses_list - sub_ses_list,num_of_true_run = do.read_df(sub_ses_list_path) - - - if log_dir=="analysis_dir": - log_dir=op.join(basedir,bidsdir_name,'derivatives',f'{container}_{version}',f"analysis-{analysis_name}") + if log_dir=="analysis_dir": + log_dir=op.join(basedir,bidsdir_name,'derivatives',f'{container}_{version}',f"analysis-{analysis_name}") - do.setup_logger(print_command_only,verbose, debug, log_dir, log_filename) - - # logger the settings + do.setup_logger(print_command_only,verbose, debug, log_dir, log_filename) + + # logger the settings + if host == "local": + launch_mode = lc_config["host_options"]["local"]["launch_mode"] + valid_options = ["serial", "parallel","dask_worker"] + if launch_mode in valid_options: + host_str = ( + f"{host}, and commands will be launched in {launch_mode} mode " + f"Serial is safe but it will take longer. " + f"If you launch in parallel be aware that some of the " + f"processes might be killed if the limit (usually memory) " + f"of the machine is reached. " + ) + else: + do.die( + f"local:launch_mode {launch_mode} was passed, valid options are {valid_options}" + ) - if host == "local": - njobs = lc_config["host_options"][host]["njobs"] - if njobs == "" or njobs is None: - njobs = 2 - launch_mode = lc_config["host_options"]["local"]["launch_mode"] - valid_options = ["serial", "parallel","dask_worker"] - if launch_mode in valid_options: - host_str = ( - f"{host}, and commands will be launched in {launch_mode} mode " - f"every {njobs} jobs. " - f"Serial is safe but it will take longer. " - f"If you launch in parallel be aware that some of the " - f"processes might be killed if the limit (usually memory) " - f"of the machine is reached. " - ) - else: - do.die( - f"local:launch_mode {launch_mode} was passed, valid options are {valid_options}" - ) + logger.critical( + "\n" + + "#####################################################\n" + + f"Successfully read the config file {lc_config_path} \n" + + f"SubsesList is read, there are {num_of_true_run} jobs needed to be launched" + + f'Basedir is: {lc_config["general"]["basedir"]} \n' + + f'Container is: {container}_{lc_config["container_specific"][container]["version"]} \n' + + f"Host is: {host_str} \n" + + f'analysis folder is: {lc_config["general"]["analysis_name"]} \n' + + f"##################################################### \n" + ) - logger.critical( - "\n" - + "#####################################################\n" - + f"Successfully read the config file {lc_config_path} \n" - + f"SubsesList is read, there are {num_of_true_run} jobs needed to be launched" - + f'Basedir is: {lc_config["general"]["basedir"]} \n' - + f'Container is: {container}_{lc_config["container_specific"][container]["version"]} \n' - + f"Host is: {host_str} \n" - + f'analysis folder is: {lc_config["general"]["analysis_name"]} \n' - + f"##################################################### \n" + + + # Prepare file and launch containers + # First of all prepare the analysis folder: it create you the analysis folder automatically so that you are not messing up with different analysis + ananlysis_dir, dict_store_cs_configs = ( + prepare.prepare_analysis_folder(parser_namespace, lc_config) + ) + container_configs_under_analysis_folder=dict_store_cs_configs['config_path'] + + logger.info("Reading the BIDS layout...") + layout = BIDSLayout(os.path.join(basedir, bidsdir_name)) + logger.info("finished reading the BIDS layout.") + + # Prepare mode + # if DWI Pipeline (preproc, pipeline) + if container in [ + "anatrois", + "rtppreproc", + "rtp-pipeline", + "freesurferator", + "rtp2-preproc", + "rtp2-pipeline" + ]: + logger.debug(f"{container} is in the list") + sub_ses_list= sub_ses_list[(sub_ses_list['dwi'] == "True") & (sub_ses_list['RUN'] == "True")] + prepare.prepare_dwi_input( + parser_namespace, ananlysis_dir, lc_config, sub_ses_list, layout, dict_store_cs_configs ) - - logger.info("Reading the BIDS layout...") - # Prepare file and launch containers - # First of all prepare the analysis folder: it create you the analysis folder automatically so that you are not messing up with different analysis - ananlysis_dir, dict_store_cs_configs = ( - prepare.prepare_analysis_folder(parser_namespace, lc_config) - ) - - layout = BIDSLayout(os.path.join(basedir, bidsdir_name)) - logger.info("finished reading the BIDS layout.") - path_to_analysis_container_specific_config=dict_store_cs_configs['config_path'] - # Prepare mode - if container in [ - "anatrois", - "rtppreproc", - "rtp-pipeline", - "freesurferator", - "rtp2-preproc", - "rtp2-pipeline" - ]: # TODO: define list in another module for reusability accross modules and functions - logger.debug(f"{container} is in the list") - prepare.prepare_dwi_input( - parser_namespace, ananlysis_dir, lc_config, sub_ses_list, layout, dict_store_cs_configs - ) - else: - logger.error(f"{container} is not in the list") + future_dict= prepare_dask_futures( + ananlysis_dir, + lc_config, + sub_ses_list, + dict_store_cs_configs + ) + elif container in ["l1_glm"]: + sub_ses_list= sub_ses_list[(sub_ses_list['func'] == "True") & (sub_ses_list['RUN'] == "True")] + # do I need a function in prepare? + future_dict= prepare_dask_futures( + ananlysis_dir, + lc_config, + sub_ses_list, + dict_store_cs_configs + ) + elif container in ["fmriprep"]: + sub_ses_list= sub_ses_list["only have the subs, because it will not get the sessions"] + else: + logger.error(f"{container} is not in the list") + raise KeyError("The container name you input is not supported, can't do prepare or launch jobs") - # Run mode - launchcontainer( - ananlysis_dir, - lc_config, - sub_ses_list, - parser_namespace, - path_to_analysis_container_specific_config - ) + if run_lc: + run_dask(jobqueue_config,future_dict) -# #%% if __name__ == "__main__": main() diff --git a/src/prepare_inputs/__init__.py b/src/prepare_inputs/__init__.py old mode 100755 new mode 100644 index 9c4832b..e69de29 --- a/src/prepare_inputs/__init__.py +++ b/src/prepare_inputs/__init__.py @@ -1,15 +0,0 @@ - -""" -MIT License - -Copyright (c) 2020-2023 Garikoitz Lerma-Usabiaga -Copyright (c) 2020-2022 Mengxing Liu -Copyright (c) 2022-2023 Leandro Lecca -Copyright (c) 2022-2023 Yongning Lei -Copyright (c) 2023 David Linhardt -Copyright (c) 2023 Iñigo Tellaetxe - -Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. -""" \ No newline at end of file diff --git a/src/prepare_inputs/prepare.py b/src/prepare_inputs/prepare.py index 6672e7c..b88b165 100755 --- a/src/prepare_inputs/prepare.py +++ b/src/prepare_inputs/prepare.py @@ -19,8 +19,8 @@ import json import zipfile -from . import utils as do -from . import prepare_dwi as dwipre +import utils as do +from prepare_inputs import prepare_dwi as dwipre logger = logging.getLogger("Launchcontainers") @@ -74,7 +74,7 @@ def prepare_analysis_folder(parser_namespace, lc_config): dict_store_cs_configs={} dict_store_cs_configs['config_path']=container_configs_under_analysis_folder - + dict_store_cs_configs['lc_yaml_path']=lc_config_under_analysis_folder def process_optional_input(container,file_path, analysis_dir, option=None): if os.path.isfile(file_path): logger.info("\n" @@ -244,7 +244,7 @@ def get_config_dict(container,lc_config,dict_store_cs_configs): rtp2_json_dict= dict_store_cs_configs[container] - if container in ["freesurferator", "anatrois"]: + if container == "freesurferator": config_json_extra={'anat': {'location': { 'path': '/flywheel/v0/input/anat/T1.nii.gz', @@ -261,8 +261,7 @@ def get_config_dict(container,lc_config,dict_store_cs_configs): }, 'base': 'file' } - if 'anat' in config_json_extra.keys() and 'pre_fs' in config_json_extra.keys(): - del config_json_extra['anat'] + else: config_json_extra={} for key in rtp2_json_dict.keys(): @@ -338,53 +337,48 @@ def prepare_dwi_input(parser_namespace, analysis_dir, lc_config, df_subSes, layo for row in df_subSes.itertuples(index=True, name="Pandas"): sub = row.sub ses = row.ses - RUN = row.RUN - dwi = row.dwi - - logger.info(f'dwi is {dwi}') + logger.info("\n" +"The current run is: \n" +f"{sub}_{ses}_{container}_{version}\n") - if RUN == "True" and dwi == "True": - - tmpdir = op.join( - analysis_dir, - "sub-" + sub, - "ses-" + ses, - "output", "tmp" - ) - logdir = op.join( - analysis_dir, - "sub-" + sub, - "ses-" + ses, - "output", "log" - ) + + tmpdir = op.join( + analysis_dir, + "sub-" + sub, + "ses-" + ses, + "output", "tmp" + ) + logdir = op.join( + analysis_dir, + "sub-" + sub, + "ses-" + ses, + "output", "log" + ) - if not op.isdir(tmpdir): - os.makedirs(tmpdir) - if not op.isdir(logdir): - os.makedirs(logdir) - - do.copy_file(parser_namespace.lc_config, op.join(logdir,'lc_config.yaml'), force) - config_file_path=dict_store_cs_configs['config_path'] - do.copy_file(config_file_path, op.join(logdir,'config.json'), force) - - - if container in ["rtppreproc" ,"rtp2-preproc"]: - dwipre.rtppreproc(dict_store_cs_configs, analysis_dir, lc_config, sub, ses, layout,run_lc) - elif container in ["rtp-pipeline", "rtp2-pipeline"]: - dwipre.rtppipeline(dict_store_cs_configs, analysis_dir,lc_config, sub, ses, layout,run_lc) - elif container in ["anatrois","freesurferator"]: - dwipre.anatrois(dict_store_cs_configs, analysis_dir,lc_config,sub, ses, layout,run_lc) - else: - logger.error("\n"+ - f"***An error occurred" - +f"{container} is not created, check for typos or contact admin for singularity images\n" - ) + if not op.isdir(tmpdir): + os.makedirs(tmpdir) + if not op.isdir(logdir): + os.makedirs(logdir) + + do.copy_file(parser_namespace.lc_config, op.join(logdir,'lc_config.yaml'), force) + config_file_path=dict_store_cs_configs['config_path'] + do.copy_file(config_file_path, op.join(logdir,'config.json'), force) + + + if container in ["rtppreproc" ,"rtp2-preproc"]: + dwipre.rtppreproc(dict_store_cs_configs, analysis_dir, lc_config, sub, ses, layout,run_lc) + elif container in ["rtp-pipeline", "rtp2-pipeline"]: + dwipre.rtppipeline(dict_store_cs_configs, analysis_dir,lc_config, sub, ses, layout,run_lc) + elif container in ["anatrois","freesurferator"]: + dwipre.anatrois(dict_store_cs_configs, analysis_dir,lc_config,sub, ses, layout,run_lc) else: - continue + logger.error("\n"+ + f"***An error occurred" + +f"{container} is not created, check for typos or contact admin for singularity images\n" + ) + logger.info("\n"+ "#####################################################\n") return diff --git a/src/prepare_inputs/prepare_dwi.py b/src/prepare_inputs/prepare_dwi.py index d5e4964..dbf7d89 100755 --- a/src/prepare_inputs/prepare_dwi.py +++ b/src/prepare_inputs/prepare_dwi.py @@ -26,8 +26,8 @@ import zipfile import logging -from . import utils as do -from .utils import read_df +import utils as do +from utils import read_df logger = logging.getLogger("Launchcontainers") @@ -244,6 +244,11 @@ def anatrois(dict_store_cs_configs, analysis_dir,lc_config, sub, ses, layout,run ) if not op.exists(dstDir_work): os.makedirs(dstDir_work) + # create corresponding folder + if op.exists(dstDir_input) and force: + shutil.rmtree(dstDir_input) + if op.exists(dstDir_output) and force: + shutil.rmtree(dstDir_output) if not op.exists(dstDir_input): os.makedirs(dstDir_input) @@ -411,7 +416,13 @@ def rtppreproc(dict_store_cs_configs, analysis_dir, lc_config, sub, ses, layout, "ses-" + ses, "output", ) - + # create corresponding folder + if op.exists(dstDir_input) and force: + shutil.rmtree(dstDir_input) + logger.info("Remove input dir under analysis because you set force to True") + if op.exists(dstDir_output) and force: + shutil.rmtree(dstDir_output) + logger.info("Remove output dir under analysis because you set force to True") if not op.exists(dstDir_input): os.makedirs(dstDir_input) if not op.exists(dstDir_output): @@ -678,7 +689,13 @@ def rtppipeline(dict_store_cs_configs, analysis_dir,lc_config, sub, ses, layout, "ses-" + ses, "output", ) - + # create corresponding folder + if op.exists(dstDir_input) and force: + shutil.rmtree(dstDir_input) + logger.info("Remove input dir under analysis because you set force to True") + if op.exists(dstDir_output) and force: + shutil.rmtree(dstDir_output) + logger.info("Remove output dir under analysis because you set force to True") if not op.exists(dstDir_input): os.makedirs(dstDir_input) if not op.exists(dstDir_output): diff --git a/src/pyfunc/__init__.py b/src/pyfunc/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/src/pyfunc/l1_glm.py b/src/pyfunc/l1_glm.py new file mode 100644 index 0000000..b04edd4 --- /dev/null +++ b/src/pyfunc/l1_glm.py @@ -0,0 +1,601 @@ +# Python script for doing first lvl fMRI analysis +# features 3: +# 1. take fMRIPrep output time series +# 2. Can do time series smoothing for you +# 3. Can do parallel processing and takes little time + +# input: +# config.yaml specifying input folder and whether do smooth or not +# subseslist.txt specifying the subject, session, that will be processed +# l1_analysis.json specifying the contrast you will use +# task: +# run_number: +# freesurfer label: +# output stats: +# TODO: there are other analysis specific stuff like HRF, and how many regressor to include, but now will just go with the one I am using + +# sturcture of the script +''' +def prepare_onset(): +def do_smooth(): + Take input from config.yaml to get the orig time series + Then call freesurfer smooth + + input: from config.yaml to get folder, from config.json to get filename + output: add time_series_smooth_kernel in the filename +def do_glm(): + +def main(): + take input from yaml and json and pass to do_smooth() and do_glm + + take input from subseslist to setup dask + + use dask to generate job script and call do_glm + + future=client.map(do_glm ) + +QA: set time in the code, and monitor the time of each step +Logger: get logger and store the output into a txt +''' +import os.path as op +from os import makedirs +from nilearn.surface import load_surf_data +import numpy as np +from scipy import stats +from nilearn.glm.first_level import ( + make_first_level_design_matrix, + first_level_from_bids, +) + +from nilearn.glm.first_level.first_level import run_glm +from nilearn.glm.contrasts import compute_contrast +import pandas as pd +import nibabel as nib +import logging +import argparse +from argparse import RawDescriptionHelpFormatter +import sys +sys.path.append(op.abspath(op.join(op.dirname(__file__), '../../'))) +# Now you can import utils +import utils as do +logger = logging.getLogger("Launchcontainers") +def prepare_onset(subject, session, layout): + + return + +def smooth_time_series(subject, session, l1_glm_yaml, lc_config): + # get the variables for input and output files + basedir=lc_config['general']['basedir'] + bidsdir_name=lc_config['general']['bidsdir_name'] + fmriprep_dir_name=lc_config['container_specific']['fmri_glm']['fmriprep_dir_name'] + fmriprep_ana_name=lc_config['container_specific']['fmri_glm']['fmriprep_ana_name'] + fmriprep_dir=op.join(basedir,bidsdir_name,'derivatives',fmriprep_dir_name,fmriprep_ana_name) + + task=l1_glm_yaml["glm_"] + # set up freesurfer environment + + # generate the cmd + #gii_in=f"{fmriprep_dir}/sub-{subject}/ses-{session}/func/sub-{subject}_ses-{session}_task-{task}_run-{run}_hemi-{hemi}_space-{space}_bold.func.gii" + #gii_out=f"{fmriprep_dir}/sub-{subject}/ses-{session}/func/sub-{subject}_ses-{session}_task-{task}_run-{run}_hemi-{hemi}_space-{space}_desc-smoothed0${time_series_smooth_kernel}_bold.func.gii" + + #cmd=f"mris_fwhm --i {gii_in} --o {gii_out} --so --fwhm {time_series_smooth_kernel} --subject sub-{subject} --hemi {hemi} " + cmd=None + return cmd + +def mask_nii(mask_method, mask, source_nii): + masked_nii=None + return masked_nii +def save_statmap_to_gifti(data, outname): + """Save a statmap to a gifti file. + data: nilearn contrast model output, e.g., contrast.effect_size() + outname: output file name + """ + gii_to_save = nib.gifti.gifti.GiftiImage() + gii_to_save.add_gifti_data_array( + nib.gifti.gifti.GiftiDataArray(data=data, datatype="NIFTI_TYPE_FLOAT32") + ) + nib.save(gii_to_save, outname) +def run_l1_glm(subject, session, lc_config, l1_glm_yaml): + # (subject, session, fp_ana_name, output_name, slice_time_ref=0.5, use_smoothed=False, time_series_smooth_kernel=None) + #subject= subject_sessions['BIDS_sub'] + #session= subject_sessions['BIDS_ses'] + # use_smooth: either False 0 or True 01 02 03 04 05 010 + #### + ##### + #for debug + # subject='05' + # session='day2VA' + # slice_time_ref=0.5 + # fp_ana_name='analysis-okazaki_ST05' + # output_name='analysis-testGetL1' + # use_smoothed=False + #### + basedir=lc_config['general']['basedir'] + bidsdir_name=lc_config['general']['bidsdir_name'] + bids = op.join(basedir,bidsdir_name) # op to BIDS root + container=lc_config['general']['container'] + version=lc_config['container_specific'][container]['version'] + + fmriprep_dir_name=lc_config['container_specific'][container]['fmriprep_dir_name'] + fmriprep_ana_name=lc_config['container_specific'][container]['fmriprep_ana_name'] + fmriprep_dir = op.join( + "derivatives", fmriprep_dir_name , f'analysis-{fmriprep_ana_name}' + ) # BIDS-relative path to fMRIPrep + # get the freesurfer dir + # default freesurer dir is the same as fmriprep, but it could be different + pre_fs=lc_config['container_specific'][container]['pre_fs'] + if not pre_fs: + fs_dir= op.join(fmriprep_dir,'sourcedata','freesurfer') + if pre_fs: + pre_fs_full_path=lc_config['container_specific'][container]['pre_fs_full_path'] + fs_dir= pre_fs_full_path + + use_smoothed=lc_config['container_specific'][container]['use_smoothed'] + time_series_smooth_kernel=lc_config['container_specific'][container]['time_series_smooth_kernel'] + + task = l1_glm_yaml['experiment']['task'] # Task name + run_nums = l1_glm_yaml['experiment']['run_nums'] # Runs to process + dummy_scans = l1_glm_yaml['experiment']['dummy_scans'] # dummy scans at the beginning of the functional acquisition + + space = l1_glm_yaml['model']['space'] # BOLD projected on subject's freesurfer surface + hemis = l1_glm_yaml['model']['hemis'] #, "R"] # L for left, R for right + logger.info(f"input hemis are {hemis}") + mask_EPI =l1_glm_yaml['model']['mask_EPI'] + if mask_EPI: + mask_method =l1_glm_yaml['model']['mask_method'] + if mask_method=="fslabel": + fslabel_name =l1_glm_yaml['model']['fslabel_name'] + label_dir=op.join(fs_dir, f'sub-{subject}','label') + elif mask_method=='bimap.nii': + bimap_nii_path =l1_glm_yaml['model']['bimap_nii_path'] + # the default location is the folder + if len(bimap_nii_path.split('/'))==1: + bimap_nii_path=op.join(bids, "derivatives",container,analysis_name,bimap_nii_path) + + + fslabel_name=l1_glm_yaml['model']['fslabel_name'] + slice_time_ref = l1_glm_yaml['model']['slice_time_ref'] + hrf_model= l1_glm_yaml['model']['hrf_model'] + drift_model= l1_glm_yaml['model']['drift_model'] + drift_order= l1_glm_yaml['model']['drift_order'] + high_pass= l1_glm_yaml['model']['high_pass'] + motion_regressors = l1_glm_yaml['model']['motion_regressors'] + use_acompcor=l1_glm_yaml['model']['use_acompcor'] + use_non_steady_state=l1_glm_yaml['model']['use_non_steady_state'] + use_consine_regressors=l1_glm_yaml['model']['use_consine_regressors'] + + ### Define output directory + analysis_name=lc_config['general']['analysis_name'] + outdir = op.join(bids, "derivatives",f'{container}_{version}',f'analysis-{analysis_name}', f'sub-{subject}',f'ses-{session}') + + if not op.exists(outdir): + makedirs(outdir) + + + + ### Loop across hemispheres + for hemi in hemis: + print("Processing hemi", hemi) + if hemi == "lh": + hm = "L" + if hemi == "rh": + hm= "R" + ### Final output dictionary for GLM contrast results (to be combined across runslater) + contrast_objs = {} + gii_allrun=[] + frame_time_allrun=[] + events_allrun=[] + confounds_allrun=[] + store_l1=[] + ### Loop over runs + for idx, run_num in enumerate(run_nums): + print("Processing run", run_num) + + ### Load GIFTI data and z-score it + run = ( + "run-" + run_num + ) # Run string in filename (define as empty string "" if no run label) + func_name = ( + f"sub-{subject}_ses-{session}_task-{task}_{run}_hemi-{hm}_space-{space}_bold.func.gii" + ) + # If you smoothed data beforehand, make sure to point this to your smoothed file name! + print(f"smooth is {use_smoothed}") + if use_smoothed: + func_name = func_name.replace("_bold", f"_desc-smoothed{time_series_smooth_kernel}_bold") + + nii_path = op.join(bids, fmriprep_dir, f'sub-{subject}', f"ses-{session}" ,"func", func_name) + gii_data = load_surf_data(nii_path) + + # remove the dummy scans of all runs and then concat them + gii_data_float=np.vstack(gii_data[:,:]).astype(float) + gii_remove_dummy=gii_data_float[:,dummy_scans::] + gii_data_std = stats.zscore(gii_remove_dummy, axis=1) + + + # # freesurfer label file + # label_path=(f'{label_dir}/lh.votcnov1v2.label') + # mask_votc= load_surf_data(label_path) + + + # ### Get shape of data + n_vertices = np.shape(gii_data_std)[0] + n_scans = np.shape(gii_data_std)[1] + + if mask_EPI: + if mask_method=='fslabel': + label_full_path=f'{label_dir}/{hemi}.{fslabel_name}.label' + label=load_surf_data(label_full_path) + mask=np.zeros((n_vertices,1)) + mask[label]=1 + elif mask_method=='bimap.nii': + # to do hehe + pass + # mask the gii according to the yaml + if mask_EPI: + gii_data_std_masked=gii_data_std*mask + gii_data_float_masked=gii_data_float*mask + # I dont know how to use this, it seems a binary mask + # gii_data_std_masked=nilearn.masking.apply_mask(gii_data_std, mask_votc, dtype='f', smoothing_fwhm=None, ensure_finite=True) + gii_allrun.append(gii_data_std_masked) + else: + gii_allrun.append(gii_data_std) + + ### Use the volumetric data just to get the events and confounds file + img_filters = [("desc", "preproc")] + # specify session + img_filters.append(("ses", session)) + # If multiple runs are present, then add the run number to filter to specify + if len(run) > 0: + img_filters.append(("run", run_num)) + l1 = first_level_from_bids( + bids, + task, + space_label="T1w", + sub_labels=[subject], + slice_time_ref=slice_time_ref, + hrf_model=hrf_model, + drift_model=drift_model, # Do not high_pass since we use fMRIPrep's cosine regressors + drift_order=drift_order, # Do not high_pass since we use fMRIPrep's cosine regressors + high_pass=high_pass, # Do not high_pass since we use fMRIPrep's cosine regressors + img_filters=img_filters, + derivatives_folder=fmriprep_dir, + ) + + ### Extract information from the prepared model + t_r = l1[0][0].t_r + events = l1[2][0][0] # Dataframe of events information + print(l1) + confounds = l1[3][0][0] # Dataframe of confounds + + # get rid of rest so that the setting would be the same as spm + events_nobaseline=events[events.loc[:,'trial_type']!='rest'] + events_nobaseline.loc[:,'onset']=events_nobaseline['onset']+idx*(n_scans)*t_r + + events_allrun.append(events_nobaseline) + store_l1.append(l1) + ### From the confounds file, extract only those of interest + # Start with the motion and acompcor regressors + motion_keys = motion_regressors + # Get ACompCor components (all to explain 50% variance) + + a_compcor_keys = [key for key in confounds.keys() if "a_comp_cor" in key] + + # Now add non-steady-state volumes + non_steady_state_keys = [key for key in confounds.keys() if "non_steady" in key] + + # Add cosine regressors which act to high-pass filter data at 1/128 Hz + cosine_keys = [key for key in confounds.keys() if "cosine" in key] + + # Pull out the confounds we want to keep + confound_keys_keep = ( + motion_keys + a_compcor_keys + cosine_keys + non_steady_state_keys + ) + confounds_keep = confounds[confound_keys_keep] + + # Set first value of FD column to the column mean + confounds_keep["framewise_displacement"][0] = np.nanmean( + confounds_keep["framewise_displacement"] + ) + confounds_keep=confounds_keep.iloc[6:] + confounds_allrun.append(confounds_keep) + ### Create the design matrix + # Start by getting times of scans + frame_times = t_r * ((np.arange(n_scans) + slice_time_ref)+idx*n_scans) + # Now use Nilearn to create the design matrix from the events files + frame_time_allrun.append(frame_times) + + conc_gii_data_std=np.concatenate(gii_allrun, axis=1) + concat_frame_times=np.concatenate(frame_time_allrun, axis=0) + concat_events=pd.concat(events_allrun, axis=0) + concat_confounds=pd.concat(confounds_allrun, axis=0) + nonan_confounds=concat_confounds.dropna(axis=1, how='any') + + design_matrix = make_first_level_design_matrix( + concat_frame_times, + events=concat_events, + hrf_model=hrf_model, # convolve with SPM's canonical HRF function + drift_model=None, # we use fMRIPrep's cosine regressors + add_regs=nonan_confounds, + ) + + + # set the design matrix's NaN value to 0? + + # z-score the design matrix to standardize it + design_matrix_std = stats.zscore(design_matrix, axis=0) + # add constant in to standardized design matrix since you cannot z-score a constant + design_matrix_std["constant"] = np.ones(len(design_matrix_std)).astype(int) + + ### Run the GLM + # Y std or not? + Y = np.transpose(conc_gii_data_std) + X = np.asarray(design_matrix_std) + labels, estimates = run_glm(Y, X, n_jobs=-1) + + ### Define the contrasts + contrast_matrix = np.eye(design_matrix.shape[1]) + basic_contrasts = dict( + [ + (column, contrast_matrix[i]) + for i, column in enumerate(design_matrix.columns) + ] + ) + print(basic_contrasts) + ''' + contrasts_old = { + "AllvsNull": ( + basic_contrasts["adult"] + + basic_contrasts["child"] + + basic_contrasts["body"] + + basic_contrasts["limb"] + + basic_contrasts["JP_word"] + + basic_contrasts["JP_FF"] + + basic_contrasts["JP_CB"] + + basic_contrasts["JP_CS"] + + basic_contrasts["JP_SC"] + ), + "PERvsNull": ( + basic_contrasts["JP_CB"] + + basic_contrasts["JP_SC"] + ), + "LEXvsNull": ( + basic_contrasts["JP_CS"] + + basic_contrasts["JP_FF"] + ), + "PERvsLEX": ( + basic_contrasts["JP_CB"] / 2 + + basic_contrasts["JP_SC"] / 2 + - basic_contrasts["JP_CS"] / 2 + - basic_contrasts["JP_FF"] / 2 + ), + "WordvsLEX": ( + basic_contrasts["JP_word"] + - basic_contrasts["JP_CS"] / 2 + - basic_contrasts["JP_FF"] / 2 + ), + "WordvsPER": ( + basic_contrasts["JP_word"] + - basic_contrasts["JP_CB"] / 2 + - basic_contrasts["JP_SC"] / 2 + ), + "WordvsLEXPER": ( + basic_contrasts["JP_word"] + - basic_contrasts["JP_CS"] / 4 + - basic_contrasts["JP_FF"] / 4 + - basic_contrasts["JP_CB"] / 4 + - basic_contrasts["JP_SC"] / 4 + ), + "WordvsAllnoWordnoLEX": ( + basic_contrasts["JP_word"] + - basic_contrasts["JP_CB"] / 6 + - basic_contrasts["JP_SC"] / 6 + - basic_contrasts["body"] / 6 + - basic_contrasts["limb"] / 6 + - basic_contrasts["adult"] / 6 + - basic_contrasts["child"] / 6 + ), + + "WordvsAllnoWord": ( + basic_contrasts["JP_word"] + - basic_contrasts["JP_CS"] / 8 + - basic_contrasts["JP_FF"] / 8 + - basic_contrasts["JP_CB"] / 8 + - basic_contrasts["JP_SC"] / 8 + - basic_contrasts["body"] / 8 + - basic_contrasts["limb"] / 8 + - basic_contrasts["adult"] / 8 + - basic_contrasts["child"] / 8 + ), + "LEXvsAllnoWordnoLEX": ( + basic_contrasts["JP_CS"] / 2 + + basic_contrasts["JP_FF"] / 2 + - basic_contrasts["JP_CB"] / 6 + - basic_contrasts["JP_SC"] / 6 + - basic_contrasts["body"] / 6 + - basic_contrasts["limb"] / 6 + - basic_contrasts["adult"] / 6 + - basic_contrasts["child"] / 6 + ), + "SCvsCB": ( + basic_contrasts["JP_SC"] + - basic_contrasts["JP_CB"] + + ), + "CSvsFF": ( + basic_contrasts["JP_CS"] + - basic_contrasts["JP_FF"] + + ), + "FacesvsNull": ( + basic_contrasts["adult"] + + basic_contrasts["child"] + ), + "FacesvsLEX": ( + basic_contrasts["adult"] / 2 + + basic_contrasts["child"] / 2 + - basic_contrasts["JP_CS"] / 2 + - basic_contrasts["JP_FF"] / 2 + ), + "FacesvsPER": ( + basic_contrasts["adult"] / 2 + + basic_contrasts["child"] / 2 + - basic_contrasts["JP_CB"] / 2 + - basic_contrasts["JP_SC"] / 2 + ), + "FacesvsLEXPER": ( + basic_contrasts["adult"] / 2 + + basic_contrasts["child"] / 2 + - basic_contrasts["JP_CB"] / 4 + - basic_contrasts["JP_SC"] / 4 + - basic_contrasts["JP_CS"] / 4 + - basic_contrasts["JP_FF"] / 4 + ), + "FacesvsAllnoFace": ( + basic_contrasts["adult"] / 2 + + basic_contrasts["child"] / 2 + - basic_contrasts["JP_CB"] / 7 + - basic_contrasts["JP_SC"] / 7 + - basic_contrasts["JP_CS"] / 7 + - basic_contrasts["JP_FF"] / 7 + - basic_contrasts["body"] / 7 + - basic_contrasts["limb"] / 7 + - basic_contrasts["JP_word"] / 7 + ), + "AdultvsChild": ( + basic_contrasts["adult"] + - basic_contrasts["child"] + ), + + "LimbsvsNull": ( + basic_contrasts["body"] + + basic_contrasts["limb"] + ), + "LimbsvsLEX": ( + basic_contrasts["body"] / 2 + + basic_contrasts["limb"] / 2 + - basic_contrasts["JP_CS"] / 2 + - basic_contrasts["JP_FF"] / 2 + ), + "LimbsvsPER": ( + basic_contrasts["body"] / 2 + + basic_contrasts["limb"] / 2 + - basic_contrasts["JP_CB"] / 2 + - basic_contrasts["JP_SC"] / 2 + ), + "LimbsvsLEXPER": ( + basic_contrasts["body"] / 2 + + basic_contrasts["limb"] / 2 + - basic_contrasts["JP_CB"] / 4 + - basic_contrasts["JP_SC"] / 4 + - basic_contrasts["JP_CS"] / 4 + - basic_contrasts["JP_FF"] / 4 + ), + "LimbsvsAllnoLimbs": ( + basic_contrasts["body"] / 2 + + basic_contrasts["limb"] / 2 + - basic_contrasts["JP_CB"] / 7 + - basic_contrasts["JP_SC"] / 7 + - basic_contrasts["JP_CS"] / 7 + - basic_contrasts["JP_FF"] / 7 + - basic_contrasts["adult"] / 7 + - basic_contrasts["child"] / 7 + - basic_contrasts["JP_word"] / 7 + ), + "BodyvsLimb": ( + basic_contrasts["body"] + - basic_contrasts["limb"] + ) + + } + ''' + # Extract contrasts + contrasts_yaml = l1_glm_yaml['contrasts'] + contrast_groups=l1_glm_yaml['contrast_groups'] + contrasts = {} + for contrast in contrasts_yaml: + contrast_vector = np.zeros_like(next(iter(basic_contrasts.values())), dtype=np.float64) + plus=contrast.split('vs')[0] + minus=contrast.split('vs')[1] + try: + if minus == "Null": + for part in contrast_groups[plus]: + contrast_vector += basic_contrasts[part] + contrasts[contrast]=contrast_vector + else: + con1=contrast_groups[plus] + factor1=len(con1) + con2=contrast_groups[minus] + factor2=len(con2) + for part in con1: + contrast_vector += basic_contrasts[part]/factor1 + for part in con2: + contrast_vector -= basic_contrasts[part]/factor2 + contrasts[contrast]=contrast_vector + except KeyError as e : + logger.error(f"{contrast} contrast have key error, check your yaml") + ### Compute the contrasts + for index, (contrast_id, contrast_val) in enumerate(contrasts.items()): + # Add a label to the output dictionary if not present + if contrast_id not in contrast_objs: + contrast_objs[contrast_id] = [] + + # Define a name template for output statistical maps (stat-X is replaced later on) + outname_base_run = f"sub-{subject}_ses-{session}_task-{task}_hemi-{hemi}_space-{space}_contrast-{contrast_id}_stat-X_statmap.func.gii" + if use_smoothed: + outname_base_run = outname_base_run.replace( + "_statmap", f"_desc-smoothed{time_series_smooth_kernel}_statmap" + ) + outname_base_run = op.join(outdir, outname_base_run) # Place in output directory + + # compute contrast-related statistics + contrast = compute_contrast( + labels, estimates, contrast_val, contrast_type="t" + ) + # add contrast to the output dictionary + contrast_objs[contrast_id].append(contrast) + + # do the run-specific processing + betas = contrast.effect_size() + z_score = contrast.z_score() + t_value = contrast.stat() + p_value = contrast.p_value() + variance = contrast.effect_variance() + + # Save the value maps as GIFTIs + # Effect size + outname = outname_base_run.replace("stat-X", "stat-effect") + save_statmap_to_gifti(betas, outname) + + # z-score + outname = outname_base_run.replace("stat-X", "stat-z") + save_statmap_to_gifti(z_score, outname) + + # t-value + outname = outname_base_run.replace("stat-X", "stat-t") + save_statmap_to_gifti(t_value, outname) + + # p-value + outname = outname_base_run.replace("stat-X", "stat-p") + save_statmap_to_gifti(p_value, outname) + + # variance + outname = outname_base_run.replace("stat-X", "stat-variance") + save_statmap_to_gifti(variance, outname) + + return f"run_glm ingg for {subject} {session}" + +def main(): + parser = argparse.ArgumentParser(description='Run l1_glm with input arguments') + parser.add_argument('--subject', required=True, help='Subject for l1_glm') + parser.add_argument('--session', required=True, help='Session for l1_glm') + parser.add_argument('--lc_config', required=True, help='LC config yaml for l1_glm') + parser.add_argument('--l1_glm_yaml', required=True, help='L1 GLM YAML file for l1_glm') + + args = parser.parse_args() + lc_config=do.read_yaml(args.lc_config) + l1_glm_yaml=do.read_yaml(args.l1_glm_yaml) + # Call the function with the provided arguments + run_l1_glm(args.subject, args.session, lc_config, l1_glm_yaml) + +if __name__ == "__main__": + main() diff --git a/src/utils.py b/src/utils.py new file mode 100755 index 0000000..a6fe3c6 --- /dev/null +++ b/src/utils.py @@ -0,0 +1,260 @@ +""" +MIT License + +Copyright (c) 2020-2023 Garikoitz Lerma-Usabiaga +Copyright (c) 2020-2022 Mengxing Liu +Copyright (c) 2022-2024 Leandro Lecca +Copyright (c) 2022-2023 Yongning Lei +Copyright (c) 2023 David Linhardt +Copyright (c) 2023 Iñigo Tellaetxe + +Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. +""" + +import argparse +from argparse import RawDescriptionHelpFormatter +import yaml +from yaml.loader import SafeLoader +import logging +import os +import shutil +import sys +import pandas as pd +import os.path as op +from os import makedirs +logger = logging.getLogger("Launchcontainers") + + +def die(*args): + logger.error(*args) + sys.exit(1) + + +def get_parser(): + """ + Input: + Parse command line inputs + + Returns: + a dict stores information about the cmd input + + """ + parser = argparse.ArgumentParser( + description=""" + This python program helps you analysis MRI data through different containers, + Before you make use of this program, please prepare the environment, edit the required config files, to match your analysis demand. \n + SAMPLE CMD LINE COMMAND \n\n + ###########STEP1############# \n + To begin the analysis, you need to first prepare and check the input files by typing this command in your bash prompt: + python path/to/the/launchcontianer.py -lcc path/to/launchcontainer_config.yaml -ssl path/to/subject_session_info.txt + -cc path/to/container_specific_config.json \n + ##--cc note, for the case of rtp-pipeline, you need to input two paths, one for config.json and one for tractparm.csv \n\n + ###########STEP2############# \n + After you have done step 1, all the config files are copied to BIDS/sub/ses/analysis/ directory + When you are confident everything is there, press up arrow to recall the command in STEP 1, and just add --run_lc after it. \n\n + + We add lots of check in the script to avoid program breakdowns. if you found new bugs while running, do not hesitate to contact us""", + formatter_class=RawDescriptionHelpFormatter, + ) + + parser.add_argument( + "-lcc", + "--lc_config", + type=str, + # default="", + help="path to the config file", + ) + parser.add_argument( + "-ssl", + "--sub_ses_list", + type=str, + # default="", + help="path to the subSesList", + ) + parser.add_argument( + "-cc", + "--container_specific_config", + type=str, + # default=["/export/home/tlei/tlei/PROJDATA/TESTDATA_LC/Testing_02/BIDS/config.json"], + help="path to the container specific config file, it stores the parameters for the container." + ) + + parser.add_argument( + "--run_lc", + action="store_true", + help="if you type --run_lc, the entire program will be launched, jobs will be send to \ + cluster and launch the corresponding container you suggest in config_lc.yaml. \ + We suggest that the first time you run launchcontainer.py, leave this argument empty. \ + then the launchcontainer.py will prepare \ + all the input files for you and print the command you want to send to container, after you \ + check all the configurations are correct and ready, you type --run_lc to make it run", + ) + + # parser.add_argument( + # "--quite", + # action="store_true", + # help="if you want to open quite mode, type --quite, then it will print you only the warning level ", + # ) + parser.add_argument( + "--verbose", + action="store_true", + help="if you want to open verbose mode, type --verbose, the the level will be info", + ) + parser.add_argument( + "--debug", + action="store_true", + help="if you want to find out what is happening of particular step, --type debug, this will print you more detailed information", + ) + if len(sys.argv) == 1: + parser.print_help(sys.stderr) + sys.exit(1) + + parse_dict = vars(parser.parse_args()) + parse_namespace = parser.parse_args() + + return parse_namespace, parse_dict + + +def read_yaml(path_to_config_file): + """ + Input: + the path to the config file + + Returns + a dictionary that contains all the config info + + """ + with open(path_to_config_file, "r") as v: + config = yaml.load(v, Loader=SafeLoader) + + return config + + +def read_df(path_to_df_file): + """ + Input: + path to the subject and session list txt file + + Returns + a dataframe + + """ + outputdf = pd.read_csv(path_to_df_file, sep=",", dtype=str) + try: + num_of_true_run = len(outputdf.loc[outputdf['RUN']=="True"]) + except: + num_of_true_run=None + logger.warn(f"The df you are reading is not subseslist") + """ # Print the result + logger.info( + "\n" + + "#####################################################\n" + + f"The dataframe{path_to_df_file} is successfully read\n" + + f"The DataFrame has {num_rows} rows \n" + + "#####################################################\n" + ) + """ + return outputdf,num_of_true_run + +def setup_logger(print_command_only, verbose=False, debug=False, log_dir=None, log_filename=None): + ''' + stream_handler_level: str, optional + if no input, it will be default at INFO level, this will be the setting for the command line logging + + verbose: bool, optional + debug: bool, optional + log_dir: str, optional + if no input, there will have nothing to be saved in log file but only the command line output + + log_filename: str, optional + the name of your log_file. + + ''' + # set up the lowest level for the logger first, so that all the info will be get + logger.setLevel(logging.DEBUG) + + + # set up formatter and handler so that the logging info can go to stream or log files + # with specific format + log_formatter = logging.Formatter( + "%(asctime)s (%(name)s):[%(levelname)s] %(module)s - %(funcName)s() - line:%(lineno)d $ %(message)s ", + datefmt="%Y-%m-%d %H:%M:%S", + ) + + stream_formatter = logging.Formatter( + "(%(name)s):[%(levelname)s] %(module)s:%(funcName)s:%(lineno)d %(message)s" + ) + # Define handler and formatter + stream_handler = logging.StreamHandler() + stream_handler.setFormatter(stream_formatter) + if verbose: + stream_handler.setLevel(logging.INFO) + elif print_command_only: + stream_handler.setLevel(logging.CRITICAL) + elif debug: + stream_handler.setLevel(logging.DEBUG) + else: + stream_handler.setLevel(logging.WARNING) + logger.addHandler(stream_handler) + + if log_dir: + if not os.path.isdir(log_dir): + makedirs(log_dir) + + + file_handler_info = ( + logging.FileHandler(op.join(log_dir, f'{log_filename}_info.log'), mode='a') + ) + file_handler_error = ( + logging.FileHandler(op.join(log_dir, f'{log_filename}_error.log'), mode='a') + ) + file_handler_info.setFormatter(log_formatter) + file_handler_error.setFormatter(log_formatter) + + file_handler_info.setLevel(logging.INFO) + file_handler_error.setLevel(logging.ERROR) + logger.addHandler(file_handler_info) + logger.addHandler(file_handler_error) + + + return logger +# %% generic function shared in the program +def copy_file(src_file, dst_file, force): + logger.info("\n" + "#####################################################\n") + if not os.path.isfile(src_file): + logger.error(" An error occurred") + raise FileExistsError("the source file is not here") + + logger.info("\n" + f"---start copying {src_file} to {dst_file} \n") + try: + if ((not os.path.isfile(dst_file)) or (force)) or ( + os.path.isfile(dst_file) and force + ): + shutil.copy(src_file, dst_file) + logger.info( + "\n" + + f"---{src_file} has been successfully copied to {os.path.dirname(src_file)} directory \n" + + f"---REMEMBER TO CHECK/EDIT TO HAVE THE CORRECT PARAMETERS IN THE FILE\n" + ) + elif os.path.isfile(dst_file) and not force: + logger.warning( + "\n" + f"---copy are not operating, the {src_file} already exist" + ) + + # If source and destination are same + except shutil.SameFileError: + logger.error("***Source and destination represents the same file.\n") + raise + # If there is any permission issue + except PermissionError: + logger.error("***Permission denied.\n") + raise + # For other errors + except: + logger.error("***Error occurred while copying file\n") + raise + logger.info("\n" + "#####################################################\n") + + return dst_file From e781501d03a3320b076cf1fbcce2bf4974511689 Mon Sep 17 00:00:00 2001 From: yongninglei Date: Mon, 8 Jul 2024 17:32:05 +0200 Subject: [PATCH 02/15] finished draft code for l1 and copy_configs --- example_configs/0.4.0/example_lc_config.yaml | 228 +++++++++++------ old_lc/prepare_inputs/utils.py | 2 +- pyproject.toml | 111 ++++++-- src/launch.py | 255 +++++++++++-------- src/prepare_inputs/prepare.py | 70 ++++- src/prepare_inputs/prepare_fmri.py | 53 ++++ src/{pyfunc => py_pipeline}/__init__.py | 0 src/{pyfunc => py_pipeline}/l1_glm.py | 38 +-- src/utils.py | 51 ++++ 9 files changed, 570 insertions(+), 238 deletions(-) create mode 100644 src/prepare_inputs/prepare_fmri.py rename src/{pyfunc => py_pipeline}/__init__.py (100%) rename src/{pyfunc => py_pipeline}/l1_glm.py (93%) mode change 100755 => 100644 src/utils.py diff --git a/example_configs/0.4.0/example_lc_config.yaml b/example_configs/0.4.0/example_lc_config.yaml index a8523a4..9190558 100755 --- a/example_configs/0.4.0/example_lc_config.yaml +++ b/example_configs/0.4.0/example_lc_config.yaml @@ -1,104 +1,162 @@ # Input guide: -# replace the part of this template config.yaml with your own dataset +# replace the part of this template config.yaml with your own options +# comments for each option are above it # Input value type: # str: string, python will read if as string, type a space after : and input the string directly # bool: boolean value, True of False, needs to be capitalize first letter # int: integer, similar to string, type a space after : # None: python None type, Usually used for optional arguement, don't put anything after column, not even "" general: - # general setting of launchcontainer soft - basedir: /home/tlei/tlei/multishell_dwi # Base directory of project - bidsdir_name: nifti # Name of bids directory, 1 level under basedir, must contain dataset_description - containerdir: /home/tlei/tlei/LMC_DWI_course/containers # Directory contains singularity images - container: rtp2-preproc # Name of the container - # VALID OPTIONS: freesurferator, rtp2-preproc, rtp2-pipeline, anatrois, rtppreproc, rtp-pipeline, l1_glm, fmriprep - analysis_name: test_rewrite_bval # Name of analysis folder - host: local # Place the computing will be held. - # VALID OPTIONS: local, BCBL, DIPC. - force: True # Whether force to overwrite - print_command_only: False # Verbosity of command-line console. If true, only print information at level: CRITICAL (based on python logging package) - log_dir: analysis_dir # Log directory to store launchcontainers logging - # VALID OPTIONS: analysis_dir or full path you want - log_filename: lc_log # Name of launchcontainers log file - + # Base directory of project + basedir: /home/tlei/tlei/multishell_dwi + # Name of bids directory, 1 level under basedir, must contain dataset_description + bidsdir_name: nifti + # Directory contains singularity images + containerdir: /home/tlei/tlei/LMC_DWI_course/containers + # Name of the container + # VALID OPTIONS: freesurferator, rtp2-preproc, rtp2-pipeline, anatrois, rtppreproc, rtp-pipeline, l1_glm, fmriprep + container: rtp2-preproc + # Name of analysis folder + analysis_name: test_rewrite_bval + # Place the computing will be held. + # VALID OPTIONS: local, BCBL, DIPC. + host: local + # Whether force to overwrite + force: True + # Verbosity of command-line console. If true, only print information at level: CRITICAL (based on python logging package) + print_command_only: False + # Log directory to store launchcontainers logging + # VALID OPTIONS: analysis_dir or full path you want + log_dir: analysis_dir + # Name of launchcontainers log file + log_filename: lc_log + container_specific: anatrois: - version: 4.6.1-7.3.2 # Version identifier for container - pre_fs: True # Pre-run freesurfer or not? - prefs_dir_name: anatrois_4.6.1-7.3.2 # Directory name of your pre-run freesurfer, this directory should be under /basedir/bidsdir/derivatives - prefs_analysis_name: "6prefs_from_fmriprep" # Analysis name of pre-run freesurfer - prefs_zipname: '^anatrois_S.*\.zip$' # A super identifier to find the pattern no need to change + # Version identifier for container + version: 4.6.1-7.3.2 + # Pre-run freesurfer or not? + pre_fs: True + # Directory name of your pre-run freesurfer, this directory should be under /basedir/bidsdir/derivatives + prefs_dir_name: anatrois_4.6.1-7.3.2 + # Analysis name of pre-run freesurfer + prefs_analysis_name: "6prefs_from_fmriprep" + # A super identifier to find the pattern no need to change + prefs_zipname: '^anatrois_S.*\.zip$' # optional - annotfile: # Freesurfer annotefiles - mniroizip: # MNI roi zip file - + # Freesurfer annotefiles + annotfile: + # MNI roi zip file + mniroizip: + rtppreproc: - version: 1.2.0-3.0.3 # Version identifier for container - precontainer_anat: anatrois_4.6.1-7.3.2 # anatrois or freesurferator dir, used to find the brainmask - anat_analysis_name: fMRIprep_brainmask # Analysis name + # Version identifier for container + version: 1.2.0-3.0.3 + # anatrois or freesurferator dir, used to find the brainmask + precontainer_anat: anatrois_4.6.1-7.3.2 + # Analysis name + anat_analysis_name: fMRIprep_brainmask # optional - multishell: True # if your encoding direction DWI is multishell sequence - rpe: True # If reverse phase encoding is applied in the sequence - # It checks if there is a reverse phase encoding acquisition - # Old dcm2nixx will not create empty bvec and bval files if there was an acquisition with just b0-s - + # if your encoding direction DWI is multishell sequence + multishell: True + # If reverse phase encoding is applied in the sequence + # It checks if there is a reverse phase encoding acquisition + # Old dcm2nixx will not create empty bvec and bval files if there was an acquisition with just b0-s + rpe: True rtp-pipeline: - version: 4.5.2-3.0.3 # Version identifier for container - precontainer_anat: anatrois_4.6.1-7.3.2 # anatrois or freesurferator dir, used to find the brainmask and fs/ROIs - anat_analysis_name: fulltract_anatrerun # Analysis name - precontainer_preproc: rtppreproc_1.2.0-3.0.3 # rtppreproc or rtp2-preproc dir, used to find the dwi.nii.gz, bvec and bval - preproc_analysis_name: 6sub_wrongbvec # Analysis name + # Version identifier for container + version: 4.5.2-3.0.3 + # anatrois or freesurferator dir, used to find the brainmask and fs/ROIs + precontainer_anat: anatrois_4.6.1-7.3.2 + # Analysis name + anat_analysis_name: fulltract_anatrerun + # rtppreproc or rtp2-preproc dir, used to find the dwi.nii.gz, bvec and bval + precontainer_preproc: rtppreproc_1.2.0-3.0.3 + # Analysis name + preproc_analysis_name: 6sub_wrongbvec freesurferator: - version: 0.2.0-7.4.1rc19 # Version identifier for container - pre_fs: True # Pre-run freesurfer or not? - prefs_dir_name: freesurferator_0.2.0-7.4.1rc19 # Directory name of your pre-run freesurfer, this directory should be under /basedir/bidsdir/derivatives - prefs_analysis_name: control_points_02 # Analysis name of pre-run freesurfer - prefs_zipname: '^freesurferator_S.*\.zip$' # A super identifier to find the pattern - control_points: False # If you want to use the control points created in the previous analysis (control.dat), set this True: - prefs_unzipname: 'S.*$' # If you created control points, you'll have an unzipped folder in the output analysis. Fill prefs_unzipname - # with the name of the unzipped folder to let launchcontainers create a symbolic link to the control.dat + # Version identifier for container + version: 0.2.0-7.4.1rc19 + # Pre-run freesurfer or not? + pre_fs: True + # Directory name of your pre-run freesurfer, this directory should be under /basedir/bidsdir/derivatives + prefs_dir_name: freesurferator_0.2.0-7.4.1rc19 + # Analysis name of pre-run freesurfer + prefs_analysis_name: control_points_02 + # A super identifier to find the pattern + prefs_zipname: '^freesurferator_S.*\.zip$' + # If you want to use the control points created in the previous analysis (control.dat), set this True: + control_points: False + # If you created control points, you'll have an unzipped folder in the output analysis. Fill prefs_unzipname + # with the name of the unzipped folder to let launchcontainers create a symbolic link to the control.dat + prefs_unzipname: 'S.*$' # optional - annotfile: /home/tlei/Desktop/annnnooott.zip # Freesurfer annotefiles - mniroizip: /home/tlei/Desktop/FG.nii.gz # MNI roi zip file - + # Freesurfer annotefiles + annotfile: /home/tlei/Desktop/annnnooott.zip + # MNI roi zip file + mniroizip: /home/tlei/Desktop/FG.nii.gz + rtp2-preproc: - version: 0.1.0_3.0.4rc31 # Version identifier for container - precontainer_anat: freesurferator_0.2.0-7.4.1rc19 # anatrois or freesurferator dir, used to find the brainmask - anat_analysis_name: control_points_02 # Analysis name + # Version identifier for container + version: 0.1.0_3.0.4rc31 + # anatrois or freesurferator dir, used to find the brainmask + precontainer_anat: freesurferator_0.2.0-7.4.1rc19 + # Analysis name + anat_analysis_name: control_points_02 # optional - multishell: True # if your encoding direction DWI is multishell sequence - rpe: True # If reverse phase encoding is applied in the sequence - # It checks if there is a reverse phase encoding acquisition - # if not, launchcontainers will create mock files - qmap_nifti: /home/tlei/Desktop/FG.nii.gz # Full Path to qunatitative MRI maps, must be nifti format + # if your encoding direction DWI is multishell sequence + multishell: True + # If reverse phase encoding is applied in the sequence + # It checks if there is a reverse phase encoding acquisition + # if not, launchcontainers will create mock files + rpe: True + # Full Path to qunatitative MRI maps, must be nifti format + qmap_nifti: /home/tlei/Desktop/FG.nii.gz + rtp2-pipeline: - version: 0.1.0_3.0.4rc20 # Version identifier for container - precontainer_anat: freesurferator_0.2.0-7.4.1rc19 # anatrois or freesurferator dir, used to find the brainmask and fs/ROIs - anat_analysis_name: control_points_02 # Analysis name - precontainer_preproc: rtp2-preproc_0.1.0_3.0.4rc31 # rtppreproc or rtp2-preproc dir, used to find the dwi.nii.gz, bvec and bval - preproc_analysis_name: control_points_02 # Analysis name - #optional - tractparams: /home/tlei/tlei/LMC_DWI_course/scripts/tractparams_short_course.csv # Path to tractparams files, needs to be a .csv - fsmask: /home/tlei/Desktop/FG.nii.gz # Path to brain.nii.gz of freesurfer If use fsmask or define manually, this option is set in case you need - qmap_zip: /home/tlei/Desktop/annnnooott.zip # zip file for rtp2-pipeline + # Version identifier for container + version: 0.1.0_3.0.4rc20 + # anatrois or freesurferator dir, used to find the brainmask and fs/ROIs + precontainer_anat: freesurferator_0.2.0-7.4.1rc19 + # Analysis name + anat_analysis_name: control_points_02 + # rtppreproc or rtp2-preproc dir, used to find the dwi.nii.gz, bvec and bval + precontainer_preproc: rtp2-preproc_0.1.0_3.0.4rc31 + # Analysis name + preproc_analysis_name: control_points_02 + # optional + # Path to tractparams files, needs to be a .csv + tractparams: /home/tlei/tlei/LMC_DWI_course/scripts/tractparams_short_course.csv + # Path to brain.nii.gz of freesurfer If use fsmask or define manually, this option is set in case you need + fsmask: /home/tlei/Desktop/FG.nii.gz + # zip file for rtp2-pipeline + qmap_zip: /home/tlei/Desktop/annnnooott.zip + host_options: - # SGE manager BCBL: + # SGE manager use_module: False apptainer: apptainer/latest maxwall: 10 manager: sge name: "anatrois" # Dask worker options - cores: 6 # Total number of cores per job (it was core for BCBL) - memory: 32G # Total amount of memory per job (it was mem for BCBL) - processes: 1 # Number of Python processes per job - interface: lo # Network interface to use like eth0 or ib0 - death-timeout: 100 # Number of seconds to wait if a worker can not find a scheduler - local-directory: null # Location of fast local storage like /scratch or $TMPDIR - queue: long.q # It was que in BCBL + # Total number of cores per job (it was core for BCBL) + cores: 6 + # Total amount of memory per job (it was mem for BCBL) + memory: 32G + # Number of Python processes per job + processes: 1 + # Network interface to use like eth0 or ib0 + interface: lo + # Number of seconds to wait if a worker can not find a scheduler + death-timeout: 100 + # Location of fast local storage like /scratch or $TMPDIR + local-directory: null + # It was que in BCBL + queue: long.q project: null walltime: 25:30:00' extra: [] @@ -106,27 +164,33 @@ host_options: job-extra: [] resource-spec: null bind_options: ['/bcbl', '/tmp','/scratch'] - # SLURM manager + DIPC: + # SLURM manager memory: 32G queue: regular cores: 24 walltime: '22:00:00' - use_module: False # for SLURM, it is always False + # for SLURM, it is always False + use_module: False apptainer: Singularity/3.5.3-GCC-8.3.0 manager: slurm system: scratch name: "anatrois" tmpdir: /scratch/llecca/tmp bind_options: ['/scratch'] - # Local machine, ubuntu, MacOS + local: - use_module: False # if the local machine use module load this option will give you different version of job-queue cmd + # Local machine, ubuntu, MacOS + # if the local machine use module load this option will give you different version of job-queue cmd + use_module: False apptainer: apptainer/latest - bind_options: ['/bcbl', '/tmp', '/scratch', '/export'] # Copy the example list: for BCBL we need ['/bcbl', '/tmp', '/export']; for okazaki we need ['/fileserver', '/tmp'] + # Copy the example list: for BCBL we need ['/bcbl', '/tmp', '/export']; for okazaki we need ['/fileserver', '/tmp'] + bind_options: ['/bcbl', '/tmp', '/scratch', '/export'] manager: 'local' - launch_mode: 'serial' # This can only be serial or parallel, any other options will make it fail. + # This can only be serial or parallel, any other options will make it fail. + launch_mode: 'serial' # Arguments below only affect to parallel launch mode - njobs: 5 # - memory_limit: '32GiB' # - threads_per_worker: 6 # + njobs: 5 + memory_limit: '32GiB' + threads_per_worker: 6 \ No newline at end of file diff --git a/old_lc/prepare_inputs/utils.py b/old_lc/prepare_inputs/utils.py index 011124e..5f369f9 100755 --- a/old_lc/prepare_inputs/utils.py +++ b/old_lc/prepare_inputs/utils.py @@ -319,7 +319,7 @@ def get_launchcontainers_version(): return None def get_mocked_launchcontainers_version(): # Specify the version you want to mock for testing purposes - return "0.3.0" + return "0.4.0" def download_configs(version, download_path): github_url = f"https://github.com/garikoitz/launchcontainers/raw/main/example_configs/{version}/example_config.yaml" #https://github.com/garikoitz/launchcontainers/tree/master/example_configs/0.3.0 response = requests.get(github_url) diff --git a/pyproject.toml b/pyproject.toml index f0736b3..5f0d173 100755 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api" [tool.poetry] name = "launchcontainers" -version = "0.2.105" +version = "0.4.0" description = "Launch Containers Package" authors = [ "BCBL", "Garikoitz Lerma-Usabiaga", @@ -29,20 +29,101 @@ packages = [{include = "prepare_inputs", from = "src"}, [tool.poetry.scripts] launchcontainers = "src.launch:main" - -[tool.poetry.dependencies] -python = "~3.10" -bids = "*" -pybids = "0.16.1" -distributed = "2022.7.0" -dask = "2022.7.0" -dask_jobqueue = "0.8.1" -nibabel = "5.1.0" -numpy = "1.23.5" -pandas = "1.5.3" -scipy = "1.11.4" -PyYAML = "6.0.1" -coverage-conditional-plugin = "^0.7.0" +[project.dependencies] +python = ">3.9" +appnope = "==0.1.4" +astor = "==0.8.1" +asttokens = "==2.4.1" +bids = "==0.0" +bids-validator = "==1.14.6" +certifi = "==2024.6.2" +charset-normalizer = "==3.3.2" +click = "==8.1.7" +cloudpickle = "==3.0.0" +comm = "==0.2.2" +contourpy = "==1.2.1" +cycler = "==0.12.1" +Cython = "==3.0.10" +dask = "==2024.5.2" +dask-jobqueue = "==0.8.5" +debugpy = "==1.8.1" +decorator = "==5.1.1" +distributed = "==2024.5.2" +docopt = "==0.6.2" +executing = "==2.0.1" +fonttools = "==4.53.0" +formulaic = "==0.5.2" +fsspec = "==2024.6.0" +gdist = "==2.1.0" +idna = "==3.7" +interface-meta = "==1.3.0" +ipykernel = "==6.29.4" +ipython = "==8.25.0" +jedi = "==0.19.1" +Jinja2 = "==3.1.4" +joblib = "==1.4.2" +jupyter_client = "==8.6.2" +jupyter_core = "==5.7.2" +kiwisolver = "==1.4.5" +llvmlite = "==0.43.0" +locket = "==1.0.0" +lxml = "==5.2.2" +MarkupSafe = "==2.1.5" +matplotlib = "==3.9.0" +matplotlib-inline = "==0.1.7" +mpmath = "==1.3.0" +msgpack = "==1.0.8" +nest-asyncio = "==1.6.0" +nibabel = "==5.2.1" +nilearn = "==0.10.4" +nipy = "==0.6.0" +num2words = "==0.5.13" +numba = "==0.60.0" +numpy = "==1.26.4" +packaging = "==24.0" +pandas = "==2.2.2" +parso = "==0.8.4" +partd = "==1.4.2" +pexpect = "==4.9.0" +pillow = "==10.3.0" +platformdirs = "==4.2.2" +plotly = "==5.22.0" +prompt_toolkit = "==3.0.46" +psutil = "==5.9.8" +ptyprocess = "==0.7.0" +pure-eval = "==0.2.2" +pybids = "==0.16.5" +Pygments = "==2.18.0" +pyparsing = "==3.1.2" +python-dateutil = "==2.9.0.post0" +pytz = "==2024.1" +PyYAML = "==6.0.1" +pyzmq = "==26.0.3" +requests = "==2.32.3" +scikit-learn = "==1.5.0" +scipy = "==1.13.1" +setuptools = "==69.5.1" +six = "==1.16.0" +sortedcontainers = "==2.4.0" +SQLAlchemy = "==2.0.31" +stack-data = "==0.6.3" +surfdist = "==0.15.5" +sympy = "==1.12.1" +tblib = "==3.0.0" +tenacity = "==8.4.2" +threadpoolctl = "==3.5.0" +toolz = "==0.12.1" +tornado = "==6.4" +traitlets = "==5.14.3" +transforms3d = "==0.4.2" +tvb-gdist = "==2.2.1" +typing_extensions = "==4.12.2" +tzdata = "==2024.1" +urllib3 = "==2.2.1" +wcwidth = "==0.2.13" +wheel = "==0.43.0" +wrapt = "==1.16.0" +zict = "==3.0.0" [tool.poetry.dev-dependencies] nox-poetry = "*" diff --git a/src/launch.py b/src/launch.py index 9efe6ed..bdc8c73 100755 --- a/src/launch.py +++ b/src/launch.py @@ -23,7 +23,10 @@ import generate_command as gen_cmd from prepare_inputs import prepare import subprocess -from pyfunc import l1_glm +from py_pipeline import l1_glm + + + logger = logging.getLogger("Launchcontainers") def prepare_dask_futures( @@ -180,7 +183,8 @@ def prepare_dask_futures( ) future_dict['commands']=commands return future_dict -def run_command(cmd, cmd_id): + +def sp_run_cmd(cmd, cmd_id): """ Run a Singularity (Apptainer) command using subprocess and log stdout and stderr. Args: @@ -200,7 +204,8 @@ def run_command(cmd, cmd_id): logger.error(f"Command {cmd_id} stderr: {stderr.strip()}") return stdout.strip(), stderr.strip() -def run_dask( + +def launch_dask_futures( jobqueue_config, future_dict ): @@ -211,7 +216,7 @@ def run_dask( logdir=future_dict['logdir'] if "local" in jobqueue_config["manager"] and launch_mode=="serial" : dask.config.set(scheduler="single-threaded") - tasks=[dask.delayed(run_command)(cmd,i) for i, cmd in enumerate(commands)] + tasks=[dask.delayed(sp_run_cmd)(cmd,i) for i, cmd in enumerate(commands)] results=dask.compute(*tasks) # Print the results print("Results:", results) @@ -229,7 +234,7 @@ def run_dask( ) # Compose the command to run in the cluster - futures = client.map(run_command,commands, range(len(commands))) + futures = client.map(sp_run_cmd,commands, range(len(commands))) logger.info("Dask dashboard is available at:", cluster.dashboard_link) # Wait for all jobs to complete @@ -250,117 +255,147 @@ def run_dask( # %% main() def main(): - # read ymal and setup the launchcontainer program - parser_namespace,_ = do.get_parser() - lc_config_path = parser_namespace.lc_config - lc_config = do.read_yaml(lc_config_path) - run_lc = parser_namespace.run_lc - verbose = parser_namespace.verbose - debug = parser_namespace.debug - # Get general information from the config.yaml file - basedir=lc_config["general"]["basedir"] - bidsdir_name=lc_config["general"]["bidsdir_name"] - container=lc_config["general"]["container"] - analysis_name=lc_config["general"]["analysis_name"] - host=lc_config["general"]["host"] - print_command_only=lc_config["general"]["print_command_only"] - log_dir=lc_config["general"]["log_dir"] - log_filename=lc_config["general"]["log_filename"] - - version = lc_config["container_specific"][container]["version"] - jobqueue_config = lc_config["host_options"][host] - # get stuff from subseslist for future jobs scheduling - sub_ses_list_path = parser_namespace.sub_ses_list - sub_ses_list,num_of_true_run = do.read_df(sub_ses_list_path) - - if log_dir=="analysis_dir": - log_dir=op.join(basedir,bidsdir_name,'derivatives',f'{container}_{version}',f"analysis-{analysis_name}") - - do.setup_logger(print_command_only,verbose, debug, log_dir, log_filename) - - # logger the settings - if host == "local": - launch_mode = lc_config["host_options"]["local"]["launch_mode"] - valid_options = ["serial", "parallel","dask_worker"] - if launch_mode in valid_options: - host_str = ( - f"{host}, and commands will be launched in {launch_mode} mode " - f"Serial is safe but it will take longer. " - f"If you launch in parallel be aware that some of the " - f"processes might be killed if the limit (usually memory) " - f"of the machine is reached. " - ) + parser_namespace,parse_dict = do.get_parser() + download_configs=parser_namespace.download_configs + gen_subseslist=parser_namespace.gen_subseslist + print(parse_dict) + print(gen_subseslist) + # generate template subseslist under the working directory + if gen_subseslist: + if parser_namespace.sub is None or parser_namespace.ses is None: + raise ValueError("gen_subseslist requires -sub and -ses to be provided") else: - do.die( - f"local:launch_mode {launch_mode} was passed, valid options are {valid_options}" - ) + sub_list = parser_namespace.sub + ses_list = parser_namespace.ses + do.generate_subseslist(sub_list,ses_list) + print("\n######Your template sub_ses_list.txt has been created under the CWD!######") + return + # Check if download_configs argument is provided + if download_configs: + # Ensure the directory exists + if not os.path.exists(download_configs): + os.makedirs(download_configs) + + # Use the mocked version function for testing + launchcontainers_version = do.get_mocked_launchcontainers_version() + + if launchcontainers_version is None: + raise ValueError("Unable to determine launchcontainers version.") + do.download_configs(launchcontainers_version, download_configs) + print("\n######Your example configs has been copied to your indicated directory created under the CWD!######") + return + # main function with PREPARE and RUN mode + if (not gen_subseslist) or (not download_configs): + print("**********Executing main functionality with arguments*********") + # read ymal and setup the launchcontainer program + lc_config_path = parser_namespace.lc_config + lc_config = do.read_yaml(lc_config_path) + run_lc = parser_namespace.run_lc + verbose = parser_namespace.verbose + debug = parser_namespace.debug + # Get general information from the config.yaml file + basedir=lc_config["general"]["basedir"] + bidsdir_name=lc_config["general"]["bidsdir_name"] + container=lc_config["general"]["container"] + analysis_name=lc_config["general"]["analysis_name"] + host=lc_config["general"]["host"] + print_command_only=lc_config["general"]["print_command_only"] + log_dir=lc_config["general"]["log_dir"] + log_filename=lc_config["general"]["log_filename"] + + version = lc_config["container_specific"][container]["version"] + jobqueue_config = lc_config["host_options"][host] + # get stuff from subseslist for future jobs scheduling + sub_ses_list_path = parser_namespace.sub_ses_list + sub_ses_list,num_of_true_run = do.read_df(sub_ses_list_path) - logger.critical( - "\n" - + "#####################################################\n" - + f"Successfully read the config file {lc_config_path} \n" - + f"SubsesList is read, there are {num_of_true_run} jobs needed to be launched" - + f'Basedir is: {lc_config["general"]["basedir"]} \n' - + f'Container is: {container}_{lc_config["container_specific"][container]["version"]} \n' - + f"Host is: {host_str} \n" - + f'analysis folder is: {lc_config["general"]["analysis_name"]} \n' - + f"##################################################### \n" - ) + if log_dir=="analysis_dir": + log_dir=op.join(basedir,bidsdir_name,'derivatives',f'{container}_{version}',f"analysis-{analysis_name}") - - - # Prepare file and launch containers - # First of all prepare the analysis folder: it create you the analysis folder automatically so that you are not messing up with different analysis - ananlysis_dir, dict_store_cs_configs = ( - prepare.prepare_analysis_folder(parser_namespace, lc_config) - ) - container_configs_under_analysis_folder=dict_store_cs_configs['config_path'] - - logger.info("Reading the BIDS layout...") - layout = BIDSLayout(os.path.join(basedir, bidsdir_name)) - logger.info("finished reading the BIDS layout.") - - # Prepare mode - # if DWI Pipeline (preproc, pipeline) - if container in [ - "anatrois", - "rtppreproc", - "rtp-pipeline", - "freesurferator", - "rtp2-preproc", - "rtp2-pipeline" - ]: - logger.debug(f"{container} is in the list") - sub_ses_list= sub_ses_list[(sub_ses_list['dwi'] == "True") & (sub_ses_list['RUN'] == "True")] - prepare.prepare_dwi_input( - parser_namespace, ananlysis_dir, lc_config, sub_ses_list, layout, dict_store_cs_configs - ) + do.setup_logger(print_command_only,verbose, debug, log_dir, log_filename) - future_dict= prepare_dask_futures( - ananlysis_dir, - lc_config, - sub_ses_list, - dict_store_cs_configs - ) - elif container in ["l1_glm"]: - sub_ses_list= sub_ses_list[(sub_ses_list['func'] == "True") & (sub_ses_list['RUN'] == "True")] - # do I need a function in prepare? - future_dict= prepare_dask_futures( - ananlysis_dir, - lc_config, - sub_ses_list, - dict_store_cs_configs - ) - elif container in ["fmriprep"]: - sub_ses_list= sub_ses_list["only have the subs, because it will not get the sessions"] - else: - logger.error(f"{container} is not in the list") - raise KeyError("The container name you input is not supported, can't do prepare or launch jobs") - + # logger the settings + if host == "local": + launch_mode = lc_config["host_options"]["local"]["launch_mode"] + valid_options = ["serial", "parallel","dask_worker"] + if launch_mode in valid_options: + host_str = ( + f"{host}, and commands will be launched in {launch_mode} mode " + f"Serial is safe but it will take longer. " + f"If you launch in parallel be aware that some of the " + f"processes might be killed if the limit (usually memory) " + f"of the machine is reached. " + ) + else: + do.die( + f"local:launch_mode {launch_mode} was passed, valid options are {valid_options}" + ) - if run_lc: - run_dask(jobqueue_config,future_dict) + logger.critical( + "\n" + + "#####################################################\n" + + f"Successfully read the config file {lc_config_path} \n" + + f"SubsesList is read, there are {num_of_true_run} jobs needed to be launched" + + f'Basedir is: {lc_config["general"]["basedir"]} \n' + + f'Container is: {container}_{lc_config["container_specific"][container]["version"]} \n' + + f"Host is: {host_str} \n" + + f'analysis folder is: {lc_config["general"]["analysis_name"]} \n' + + f"##################################################### \n" + ) + + + # Prepare file and launch containers + # First of all prepare the analysis folder: it create you the analysis folder automatically so that you are not messing up with different analysis + ananlysis_dir, dict_store_cs_configs = ( + prepare.prepare_analysis_folder(parser_namespace, lc_config) + ) + container_configs_under_analysis_folder=dict_store_cs_configs['config_path'] + + logger.info("Reading the BIDS layout...") + layout = BIDSLayout(os.path.join(basedir, bidsdir_name)) + logger.info("finished reading the BIDS layout.") + + # Prepare mode + # if DWI Pipeline (preproc, pipeline) + if container in [ + "anatrois", + "rtppreproc", + "rtp-pipeline", + "freesurferator", + "rtp2-preproc", + "rtp2-pipeline" + ]: + logger.debug(f"{container} is in the list") + sub_ses_list= sub_ses_list[(sub_ses_list['dwi'] == "True") & (sub_ses_list['RUN'] == "True")] + prepare.prepare_dwi_input( + parser_namespace, ananlysis_dir, lc_config, sub_ses_list, layout, dict_store_cs_configs + ) + + future_dict= prepare_dask_futures( + ananlysis_dir, + lc_config, + sub_ses_list, + dict_store_cs_configs + ) + elif container in ["l1_glm"]: + sub_ses_list= sub_ses_list[(sub_ses_list['func'] == "True") & (sub_ses_list['RUN'] == "True")] + prepare.prepare_fmri_input( + parser_namespace, ananlysis_dir, lc_config, sub_ses_list, dict_store_cs_configs + ) + future_dict= prepare_dask_futures( + ananlysis_dir, + lc_config, + sub_ses_list, + dict_store_cs_configs + ) + elif container in ["fmriprep"]: + sub_ses_list= sub_ses_list["only have the subs, because it will not get the sessions"] + else: + logger.error(f"{container} is not in the list") + raise KeyError("The container name you input is not supported, can't do prepare or launch jobs") + if run_lc: + launch_dask_futures(jobqueue_config,future_dict) if __name__ == "__main__": main() diff --git a/src/prepare_inputs/prepare.py b/src/prepare_inputs/prepare.py index b88b165..ffac377 100755 --- a/src/prepare_inputs/prepare.py +++ b/src/prepare_inputs/prepare.py @@ -17,11 +17,10 @@ import os import os.path as op import json -import zipfile import utils as do from prepare_inputs import prepare_dwi as dwipre - +from prepare_inputs import prepare_fmri as fmripre logger = logging.getLogger("Launchcontainers") def prepare_analysis_folder(parser_namespace, lc_config): @@ -75,6 +74,7 @@ def prepare_analysis_folder(parser_namespace, lc_config): dict_store_cs_configs={} dict_store_cs_configs['config_path']=container_configs_under_analysis_folder dict_store_cs_configs['lc_yaml_path']=lc_config_under_analysis_folder + def process_optional_input(container,file_path, analysis_dir, option=None): if os.path.isfile(file_path): logger.info("\n" @@ -383,3 +383,69 @@ def prepare_dwi_input(parser_namespace, analysis_dir, lc_config, df_subSes, layo "#####################################################\n") return + +def prepare_fmri_input(parser_namespace, analysis_dir, lc_config, df_subSes, dict_store_cs_configs): + """ + This is the major function for doing the preparation, it is doing the work + 1. move and check the onset files is consistant with your yaml input + + Parameters + ---------- + lc_config : TYPE + DESCRIPTION. + df_subSes : TYPE + DESCRIPTION. + + Returns + ------- + None. + + """ + logger.info("\n"+ + "#####################################################\n" + +"Preparing for surface based fMRI \n") + + + container = lc_config["general"]["container"] + force = lc_config["general"]["force"] + run_lc = parser_namespace.run_lc + force= force or run_lc + l1_glm_yaml_path= dict_store_cs_configs['config_path'] + l1_glm_yaml=do.read_yaml(l1_glm_yaml_path) + + logger.info("\n"+ + "#####################################################\n" + +f"Prepare for {container}\n") + for row in df_subSes.itertuples(index=True, name="Pandas"): + sub = row.sub + ses = row.ses + + tmpdir = op.join( + analysis_dir, + "sub-" + sub, + "ses-" + ses, + "output", "tmp" + ) + logdir = op.join( + analysis_dir, + "sub-" + sub, + "ses-" + ses, + "output", "log" + ) + + if not op.isdir(tmpdir): + os.makedirs(tmpdir) + if not op.isdir(logdir): + os.makedirs(logdir) + + do.copy_file(parser_namespace.lc_config, op.join(logdir,'lc_config.yaml'), force) + + config_file_path=dict_store_cs_configs['config_path'] + do.copy_file(config_file_path, op.join(logdir,'config.json'), force) + + fmripre.move_onset_files_to_bids(lc_config,l1_glm_yaml,sub,ses) + + logger.info("\n"+ + "#####################################################\n") + return + diff --git a/src/prepare_inputs/prepare_fmri.py b/src/prepare_inputs/prepare_fmri.py new file mode 100644 index 0000000..d5b7dcc --- /dev/null +++ b/src/prepare_inputs/prepare_fmri.py @@ -0,0 +1,53 @@ +import os +import os.path as op +import shutil + +def format_onset_file(): + + return + +def move_onset_files_to_bids(lc_config,l1_glm_yaml,sub,ses): + basedir=lc_config["general"]["basedir"] + bidsdir_name=lc_config["general"]["bidsdir_name"] + onsetdir_name=lc_config["container_specific"]["l1_glm"]["onsetdir"] + onsetdir=op.join(basedir,onsetdir_name) + bidsdir=op.join(basedir,bidsdir_name) + + task=l1_glm_yaml["experiment"]["task"] + runs=l1_glm_yaml["experiment"]["run_nums"] + for runnum in runs: + src_fname=f'sub-{sub}_ses-{ses}_task-{task}_run-{runnum}_event.tsv' + target_fname=f'sub-{sub}_ses-{ses}_task-{task}_run-{runnum}_events.tsv' + src_onset=op.join(onsetdir,src_fname) + target_path=op.join(bidsdir,f'sub-{sub}',f'ses-{ses}','func') + if not op.exists(target_path): + os.makedirs(target_path) + + target=op.join(bidsdir,f'sub-{sub}',f'ses-{ses}','func',target_fname) + if os.path.exists(target): + os.remove(target) + try: + shutil.copy(src_onset,target) + except: + continue + return + + +def smooth_time_series(subject, session, l1_glm_yaml, lc_config): + # get the variables for input and output files + basedir=lc_config['general']['basedir'] + bidsdir_name=lc_config['general']['bidsdir_name'] + fmriprep_dir_name=lc_config['container_specific']['fmri_glm']['fmriprep_dir_name'] + fmriprep_ana_name=lc_config['container_specific']['fmri_glm']['fmriprep_ana_name'] + fmriprep_dir=op.join(basedir,bidsdir_name,'derivatives',fmriprep_dir_name,fmriprep_ana_name) + + task=l1_glm_yaml["experiment"]["task"] + # set up freesurfer environment + + # generate the cmd + #gii_in=f"{fmriprep_dir}/sub-{subject}/ses-{session}/func/sub-{subject}_ses-{session}_task-{task}_run-{run}_hemi-{hemi}_space-{space}_bold.func.gii" + #gii_out=f"{fmriprep_dir}/sub-{subject}/ses-{session}/func/sub-{subject}_ses-{session}_task-{task}_run-{run}_hemi-{hemi}_space-{space}_desc-smoothed0${time_series_smooth_kernel}_bold.func.gii" + + #cmd=f"mris_fwhm --i {gii_in} --o {gii_out} --so --fwhm {time_series_smooth_kernel} --subject sub-{subject} --hemi {hemi} " + cmd=None + return cmd \ No newline at end of file diff --git a/src/pyfunc/__init__.py b/src/py_pipeline/__init__.py similarity index 100% rename from src/pyfunc/__init__.py rename to src/py_pipeline/__init__.py diff --git a/src/pyfunc/l1_glm.py b/src/py_pipeline/l1_glm.py similarity index 93% rename from src/pyfunc/l1_glm.py rename to src/py_pipeline/l1_glm.py index b04edd4..1fdc1dc 100644 --- a/src/pyfunc/l1_glm.py +++ b/src/py_pipeline/l1_glm.py @@ -59,32 +59,11 @@ def main(): # Now you can import utils import utils as do logger = logging.getLogger("Launchcontainers") -def prepare_onset(subject, session, layout): - - return - -def smooth_time_series(subject, session, l1_glm_yaml, lc_config): - # get the variables for input and output files - basedir=lc_config['general']['basedir'] - bidsdir_name=lc_config['general']['bidsdir_name'] - fmriprep_dir_name=lc_config['container_specific']['fmri_glm']['fmriprep_dir_name'] - fmriprep_ana_name=lc_config['container_specific']['fmri_glm']['fmriprep_ana_name'] - fmriprep_dir=op.join(basedir,bidsdir_name,'derivatives',fmriprep_dir_name,fmriprep_ana_name) - - task=l1_glm_yaml["glm_"] - # set up freesurfer environment - - # generate the cmd - #gii_in=f"{fmriprep_dir}/sub-{subject}/ses-{session}/func/sub-{subject}_ses-{session}_task-{task}_run-{run}_hemi-{hemi}_space-{space}_bold.func.gii" - #gii_out=f"{fmriprep_dir}/sub-{subject}/ses-{session}/func/sub-{subject}_ses-{session}_task-{task}_run-{run}_hemi-{hemi}_space-{space}_desc-smoothed0${time_series_smooth_kernel}_bold.func.gii" - - #cmd=f"mris_fwhm --i {gii_in} --o {gii_out} --so --fwhm {time_series_smooth_kernel} --subject sub-{subject} --hemi {hemi} " - cmd=None - return cmd def mask_nii(mask_method, mask, source_nii): masked_nii=None return masked_nii + def save_statmap_to_gifti(data, outname): """Save a statmap to a gifti file. data: nilearn contrast model output, e.g., contrast.effect_size() @@ -95,6 +74,7 @@ def save_statmap_to_gifti(data, outname): nib.gifti.gifti.GiftiDataArray(data=data, datatype="NIFTI_TYPE_FLOAT32") ) nib.save(gii_to_save, outname) + def run_l1_glm(subject, session, lc_config, l1_glm_yaml): # (subject, session, fp_ana_name, output_name, slice_time_ref=0.5, use_smoothed=False, time_series_smooth_kernel=None) #subject= subject_sessions['BIDS_sub'] @@ -115,7 +95,8 @@ def run_l1_glm(subject, session, lc_config, l1_glm_yaml): bids = op.join(basedir,bidsdir_name) # op to BIDS root container=lc_config['general']['container'] version=lc_config['container_specific'][container]['version'] - + analysis_name=lc_config['general']['analysis_name'] + fmriprep_dir_name=lc_config['container_specific'][container]['fmriprep_dir_name'] fmriprep_ana_name=lc_config['container_specific'][container]['fmriprep_ana_name'] fmriprep_dir = op.join( @@ -141,6 +122,7 @@ def run_l1_glm(subject, session, lc_config, l1_glm_yaml): hemis = l1_glm_yaml['model']['hemis'] #, "R"] # L for left, R for right logger.info(f"input hemis are {hemis}") mask_EPI =l1_glm_yaml['model']['mask_EPI'] + if mask_EPI: mask_method =l1_glm_yaml['model']['mask_method'] if mask_method=="fslabel": @@ -585,11 +567,11 @@ def run_l1_glm(subject, session, lc_config, l1_glm_yaml): return f"run_glm ingg for {subject} {session}" def main(): - parser = argparse.ArgumentParser(description='Run l1_glm with input arguments') - parser.add_argument('--subject', required=True, help='Subject for l1_glm') - parser.add_argument('--session', required=True, help='Session for l1_glm') - parser.add_argument('--lc_config', required=True, help='LC config yaml for l1_glm') - parser.add_argument('--l1_glm_yaml', required=True, help='L1 GLM YAML file for l1_glm') + parser = argparse.ArgumentParser(description='Run l1_glm with input arguments through the function l1_glm') + parser.add_argument('--subject', required=True, type=str, help='Subject for l1_glm') + parser.add_argument('--session', required=True, type=str, help='Session for l1_glm') + parser.add_argument('--lc_config', required=True, type=str, help='LC config yaml for l1_glm') + parser.add_argument('--l1_glm_yaml', required=True, type=str, help='L1 GLM YAML file for l1_glm') args = parser.parse_args() lc_config=do.read_yaml(args.lc_config) diff --git a/src/utils.py b/src/utils.py old mode 100755 new mode 100644 index a6fe3c6..9ffadbf --- a/src/utils.py +++ b/src/utils.py @@ -24,6 +24,7 @@ import pandas as pd import os.path as op from os import makedirs +import requests logger = logging.getLogger("Launchcontainers") @@ -42,6 +43,7 @@ def get_parser(): """ parser = argparse.ArgumentParser( + prog="Launchcontainers", description=""" This python program helps you analysis MRI data through different containers, Before you make use of this program, please prepare the environment, edit the required config files, to match your analysis demand. \n @@ -59,6 +61,7 @@ def get_parser(): formatter_class=RawDescriptionHelpFormatter, ) + parser.add_argument( "-lcc", "--lc_config", @@ -107,6 +110,18 @@ def get_parser(): action="store_true", help="if you want to find out what is happening of particular step, --type debug, this will print you more detailed information", ) + parser.add_argument( + '--download_configs', + action="store_true", + help='Path to download the configs') + + parser.add_argument( + '--gen_subseslist', + action="store_true", + help='if you want to generate a template subseslist based on the sub and session you provide') + + parser.add_argument("-sub", nargs='+', help="List of subjects") + parser.add_argument("-ses", nargs='+', help="List of sessions") if len(sys.argv) == 1: parser.print_help(sys.stderr) sys.exit(1) @@ -258,3 +273,39 @@ def copy_file(src_file, dst_file, force): logger.info("\n" + "#####################################################\n") return dst_file +def get_launchcontainers_version(): + try: + from importlib.metadata import version + except ImportError: # For Python < 3.8 + from pkg_resources import get_distribution as version + + try: + return version('launchcontainers') + except Exception as e: + logger.error(f"Error getting launchcontainers version: {e}") + return None +def get_mocked_launchcontainers_version(): + # Specify the version you want to mock for testing purposes + return "0.3.0" +def download_configs(version, download_path): + github_url = f"https://github.com/garikoitz/launchcontainers/raw/main/example_configs/{version}/example_config.yaml" #https://github.com/garikoitz/launchcontainers/tree/master/example_configs/0.3.0 + response = requests.get(github_url) + + if response.status_code == 200: + config_path = os.path.join(download_path, f"{version}_config.yaml") + with open(config_path, 'wb') as file: + file.write(response.content) + logger.info(f"Configs for version {version} downloaded successfully.") + else: + logger.error(f"Failed to download configs for version {version}. HTTP Status Code: {response.status_code}") + +def generate_subseslist(lst_sub,lst_ses): + data = [] + for sub in lst_sub: + for ses in lst_ses: + data.append([sub, ses, True, True, True, True]) + + # Create the DataFrame + df = pd.DataFrame(data, columns=['sub', 'ses', 'RUN', 'anat', 'dwi', 'func']) + output_file = 'sub_ses_list.txt' + df.to_csv(output_file, sep=',', index=False) \ No newline at end of file From 52f8d140224f6583c59471f690d2e44212c76c72 Mon Sep 17 00:00:00 2001 From: yongninglei Date: Tue, 9 Jul 2024 10:04:42 +0200 Subject: [PATCH 03/15] change packaging structure and import --- example_configs/0.4.0/example_lc_config.yaml | 196 -- old_lc/__init__.py | 16 - old_lc/launch.py | 685 ------- old_lc/prepare_inputs/__init__.py | 15 - old_lc/prepare_inputs/_version.py | 689 ------- old_lc/prepare_inputs/check_parser.py | 201 --- .../prepare_inputs/dask_scheduler_config.py | 140 -- old_lc/prepare_inputs/prepare.py | 391 ---- old_lc/prepare_inputs/prepare_dwi.py | 789 -------- old_lc/prepare_inputs/prepare_prf.py | 10 - old_lc/prepare_inputs/utils.py | 333 ---- poetry.lock | 1604 ----------------- pyproject.toml | 109 +- src/{ => launchcontainers}/__init__.py | 0 .../container_specific_example_configs.zip | Bin 0 -> 10140741 bytes .../configs/new_lc_config.yaml | 161 ++ .../dask_scheduler_config.py | 0 .../generate_command.py | 12 +- src/{ => launchcontainers}/launch.py | 17 +- .../prepare_inputs/__init__.py | 0 .../prepare_inputs/prepare.py | 6 + .../prepare_inputs/prepare_dwi.py | 5 + .../prepare_inputs/prepare_fmri.py | 0 .../py_pipeline/__init__.py | 0 .../py_pipeline/l1_glm.py | 7 +- src/{ => launchcontainers}/utils.py | 0 26 files changed, 214 insertions(+), 5172 deletions(-) delete mode 100755 example_configs/0.4.0/example_lc_config.yaml delete mode 100755 old_lc/__init__.py delete mode 100755 old_lc/launch.py delete mode 100755 old_lc/prepare_inputs/__init__.py delete mode 100755 old_lc/prepare_inputs/_version.py delete mode 100755 old_lc/prepare_inputs/check_parser.py delete mode 100755 old_lc/prepare_inputs/dask_scheduler_config.py delete mode 100755 old_lc/prepare_inputs/prepare.py delete mode 100755 old_lc/prepare_inputs/prepare_dwi.py delete mode 100755 old_lc/prepare_inputs/prepare_prf.py delete mode 100755 old_lc/prepare_inputs/utils.py delete mode 100755 poetry.lock rename src/{ => launchcontainers}/__init__.py (100%) create mode 100644 src/launchcontainers/configs/container_specific_example_configs.zip create mode 100755 src/launchcontainers/configs/new_lc_config.yaml rename src/{ => launchcontainers}/dask_scheduler_config.py (100%) rename src/{ => launchcontainers}/generate_command.py (96%) rename src/{ => launchcontainers}/launch.py (97%) rename src/{ => launchcontainers}/prepare_inputs/__init__.py (100%) rename src/{ => launchcontainers}/prepare_inputs/prepare.py (98%) rename src/{ => launchcontainers}/prepare_inputs/prepare_dwi.py (99%) rename src/{ => launchcontainers}/prepare_inputs/prepare_fmri.py (100%) rename src/{ => launchcontainers}/py_pipeline/__init__.py (100%) rename src/{ => launchcontainers}/py_pipeline/l1_glm.py (99%) rename src/{ => launchcontainers}/utils.py (100%) diff --git a/example_configs/0.4.0/example_lc_config.yaml b/example_configs/0.4.0/example_lc_config.yaml deleted file mode 100755 index 9190558..0000000 --- a/example_configs/0.4.0/example_lc_config.yaml +++ /dev/null @@ -1,196 +0,0 @@ -# Input guide: -# replace the part of this template config.yaml with your own options -# comments for each option are above it -# Input value type: -# str: string, python will read if as string, type a space after : and input the string directly -# bool: boolean value, True of False, needs to be capitalize first letter -# int: integer, similar to string, type a space after : -# None: python None type, Usually used for optional arguement, don't put anything after column, not even "" -general: - # Base directory of project - basedir: /home/tlei/tlei/multishell_dwi - # Name of bids directory, 1 level under basedir, must contain dataset_description - bidsdir_name: nifti - # Directory contains singularity images - containerdir: /home/tlei/tlei/LMC_DWI_course/containers - # Name of the container - # VALID OPTIONS: freesurferator, rtp2-preproc, rtp2-pipeline, anatrois, rtppreproc, rtp-pipeline, l1_glm, fmriprep - container: rtp2-preproc - # Name of analysis folder - analysis_name: test_rewrite_bval - # Place the computing will be held. - # VALID OPTIONS: local, BCBL, DIPC. - host: local - # Whether force to overwrite - force: True - # Verbosity of command-line console. If true, only print information at level: CRITICAL (based on python logging package) - print_command_only: False - # Log directory to store launchcontainers logging - # VALID OPTIONS: analysis_dir or full path you want - log_dir: analysis_dir - # Name of launchcontainers log file - log_filename: lc_log - -container_specific: - anatrois: - # Version identifier for container - version: 4.6.1-7.3.2 - # Pre-run freesurfer or not? - pre_fs: True - # Directory name of your pre-run freesurfer, this directory should be under /basedir/bidsdir/derivatives - prefs_dir_name: anatrois_4.6.1-7.3.2 - # Analysis name of pre-run freesurfer - prefs_analysis_name: "6prefs_from_fmriprep" - # A super identifier to find the pattern no need to change - prefs_zipname: '^anatrois_S.*\.zip$' - # optional - # Freesurfer annotefiles - annotfile: - # MNI roi zip file - mniroizip: - - rtppreproc: - # Version identifier for container - version: 1.2.0-3.0.3 - # anatrois or freesurferator dir, used to find the brainmask - precontainer_anat: anatrois_4.6.1-7.3.2 - # Analysis name - anat_analysis_name: fMRIprep_brainmask - # optional - # if your encoding direction DWI is multishell sequence - multishell: True - # If reverse phase encoding is applied in the sequence - # It checks if there is a reverse phase encoding acquisition - # Old dcm2nixx will not create empty bvec and bval files if there was an acquisition with just b0-s - rpe: True - - rtp-pipeline: - # Version identifier for container - version: 4.5.2-3.0.3 - # anatrois or freesurferator dir, used to find the brainmask and fs/ROIs - precontainer_anat: anatrois_4.6.1-7.3.2 - # Analysis name - anat_analysis_name: fulltract_anatrerun - # rtppreproc or rtp2-preproc dir, used to find the dwi.nii.gz, bvec and bval - precontainer_preproc: rtppreproc_1.2.0-3.0.3 - # Analysis name - preproc_analysis_name: 6sub_wrongbvec - - freesurferator: - # Version identifier for container - version: 0.2.0-7.4.1rc19 - # Pre-run freesurfer or not? - pre_fs: True - # Directory name of your pre-run freesurfer, this directory should be under /basedir/bidsdir/derivatives - prefs_dir_name: freesurferator_0.2.0-7.4.1rc19 - # Analysis name of pre-run freesurfer - prefs_analysis_name: control_points_02 - # A super identifier to find the pattern - prefs_zipname: '^freesurferator_S.*\.zip$' - # If you want to use the control points created in the previous analysis (control.dat), set this True: - control_points: False - # If you created control points, you'll have an unzipped folder in the output analysis. Fill prefs_unzipname - # with the name of the unzipped folder to let launchcontainers create a symbolic link to the control.dat - prefs_unzipname: 'S.*$' - # optional - # Freesurfer annotefiles - annotfile: /home/tlei/Desktop/annnnooott.zip - # MNI roi zip file - mniroizip: /home/tlei/Desktop/FG.nii.gz - - rtp2-preproc: - # Version identifier for container - version: 0.1.0_3.0.4rc31 - # anatrois or freesurferator dir, used to find the brainmask - precontainer_anat: freesurferator_0.2.0-7.4.1rc19 - # Analysis name - anat_analysis_name: control_points_02 - # optional - # if your encoding direction DWI is multishell sequence - multishell: True - # If reverse phase encoding is applied in the sequence - # It checks if there is a reverse phase encoding acquisition - # if not, launchcontainers will create mock files - rpe: True - # Full Path to qunatitative MRI maps, must be nifti format - qmap_nifti: /home/tlei/Desktop/FG.nii.gz - - rtp2-pipeline: - # Version identifier for container - version: 0.1.0_3.0.4rc20 - # anatrois or freesurferator dir, used to find the brainmask and fs/ROIs - precontainer_anat: freesurferator_0.2.0-7.4.1rc19 - # Analysis name - anat_analysis_name: control_points_02 - # rtppreproc or rtp2-preproc dir, used to find the dwi.nii.gz, bvec and bval - precontainer_preproc: rtp2-preproc_0.1.0_3.0.4rc31 - # Analysis name - preproc_analysis_name: control_points_02 - # optional - # Path to tractparams files, needs to be a .csv - tractparams: /home/tlei/tlei/LMC_DWI_course/scripts/tractparams_short_course.csv - # Path to brain.nii.gz of freesurfer If use fsmask or define manually, this option is set in case you need - fsmask: /home/tlei/Desktop/FG.nii.gz - # zip file for rtp2-pipeline - qmap_zip: /home/tlei/Desktop/annnnooott.zip - -host_options: - BCBL: - # SGE manager - use_module: False - apptainer: apptainer/latest - maxwall: 10 - manager: sge - name: "anatrois" - # Dask worker options - # Total number of cores per job (it was core for BCBL) - cores: 6 - # Total amount of memory per job (it was mem for BCBL) - memory: 32G - # Number of Python processes per job - processes: 1 - # Network interface to use like eth0 or ib0 - interface: lo - # Number of seconds to wait if a worker can not find a scheduler - death-timeout: 100 - # Location of fast local storage like /scratch or $TMPDIR - local-directory: null - # It was que in BCBL - queue: long.q - project: null - walltime: 25:30:00' - extra: [] - env-extra: [] - job-extra: [] - resource-spec: null - bind_options: ['/bcbl', '/tmp','/scratch'] - - DIPC: - # SLURM manager - memory: 32G - queue: regular - cores: 24 - walltime: '22:00:00' - # for SLURM, it is always False - use_module: False - apptainer: Singularity/3.5.3-GCC-8.3.0 - manager: slurm - system: scratch - name: "anatrois" - tmpdir: /scratch/llecca/tmp - bind_options: ['/scratch'] - - local: - # Local machine, ubuntu, MacOS - # if the local machine use module load this option will give you different version of job-queue cmd - use_module: False - apptainer: apptainer/latest - # Copy the example list: for BCBL we need ['/bcbl', '/tmp', '/export']; for okazaki we need ['/fileserver', '/tmp'] - bind_options: ['/bcbl', '/tmp', '/scratch', '/export'] - manager: 'local' - # This can only be serial or parallel, any other options will make it fail. - launch_mode: 'serial' - # Arguments below only affect to parallel launch mode - njobs: 5 - memory_limit: '32GiB' - threads_per_worker: 6 \ No newline at end of file diff --git a/old_lc/__init__.py b/old_lc/__init__.py deleted file mode 100755 index e2dee03..0000000 --- a/old_lc/__init__.py +++ /dev/null @@ -1,16 +0,0 @@ - - -""" -MIT License - -Copyright (c) 2020-2023 Garikoitz Lerma-Usabiaga -Copyright (c) 2020-2022 Mengxing Liu -Copyright (c) 2022-2023 Leandro Lecca -Copyright (c) 2022-2023 Yongning Lei -Copyright (c) 2023 David Linhardt -Copyright (c) 2023 Iñigo Tellaetxe - -Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. -""" \ No newline at end of file diff --git a/old_lc/launch.py b/old_lc/launch.py deleted file mode 100755 index a3e6144..0000000 --- a/old_lc/launch.py +++ /dev/null @@ -1,685 +0,0 @@ -# -*- coding: utf-8 -*- -""" -MIT License - -Copyright (c) 2020-2024 Garikoitz Lerma-Usabiaga -Copyright (c) 2020-2022 Mengxing Liu -Copyright (c) 2022-2024 Leandro Lecca -Copyright (c) 2022-2024 Yongning Lei -Copyright (c) 2023 David Linhardt -Copyright (c) 2023 Iñigo Tellaetxe - -Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. -""" -import os -import os.path as op -import subprocess as sp -from subprocess import Popen -import numpy as np -import logging -import math - -# modules in lc - -from bids import BIDSLayout -from dask.distributed import progress - -from prepare_inputs import dask_scheduler_config as dsq -from prepare_inputs import prepare as prepare -from prepare_inputs import utils as do - -logger = logging.getLogger("Launchcontainers") - - -# %% launchcontainers -def generate_cmd( - lc_config, sub, ses, ananlysis_dir, lst_container_specific_configs, run_lc -): - """Puts together the command to send to the container. - - Args: - lc_config (str): _description_ - sub (str): _description_ - ses (str): _description_ - ananlysis_dir (str): _description_ - lst_container_specific_configs (list): _description_ - run_lc (str): _description_ - - Raises: - ValueError: Raised in presence of a faulty config.yaml file, or when the formed command is not recognized. - - Returns: - _type_: _description_ - """ - - # Relevant directories - # All other relevant directories stem from this one - basedir = lc_config["general"]["basedir"] - - homedir = os.path.join(basedir, "singularity_home") - container = lc_config["general"]["container"] - host = lc_config["general"]["host"] - containerdir = lc_config["general"]["containerdir"] - - # Information relevant to the host and container - jobqueue_config = lc_config["host_options"][host] - version = lc_config["container_specific"][container]["version"] - use_module = jobqueue_config["use_module"] - bind_options = jobqueue_config["bind_options"] - - # Location of the Singularity Image File (.sif) - container_name = os.path.join(containerdir, f"{container}_{version}.sif") - # Define the directory and the file name to output the log of each subject - logdir = os.path.join(ananlysis_dir, "sub-" + sub, "ses-" + ses, "output", "log") - logfilename = f"{logdir}/t-{container}-sub-{sub}_ses-{ses}" - - path_to_sub_derivatives = os.path.join(ananlysis_dir, f"sub-{sub}", f"ses-{ses}") - - bind_cmd = "" - for bind in bind_options: - bind_cmd += f"--bind {bind}:{bind} " - - env_cmd = "" - if host == "local": - if use_module == True: - env_cmd = f"module load {jobqueue_config['apptainer']} &&" - - if container in ["anatrois", "rtppreproc", "rtp-pipeline"]: - logger.info("\n" + "start to generate the DWI PIPELINE command") - logger.debug( - f"\n the sub is {sub} \n the ses is {ses} \n the analysis dir is {ananlysis_dir}" - ) - - cmd = ( - f"{env_cmd} singularity run -e --no-home {bind_cmd}" - f"--bind {path_to_sub_derivatives}/input:/flywheel/v0/input:ro " - f"--bind {path_to_sub_derivatives}/output:/flywheel/v0/output " - f"--bind {path_to_sub_derivatives}/output/log/config.json:/flywheel/v0/config.json " - f"{container_name} 1>> {logfilename}.o 2>> {logfilename}.e " - ) - - if container == "freesurferator": - logger.info("\n" + "FREESURFERATOR command") - logger.debug( - f"\n the sub is {sub} \n the ses is {ses} \n the analysis dir is {ananlysis_dir}" - ) - - cmd = ( - f"{env_cmd} apptainer run --containall --pwd /flywheel/v0 {bind_cmd}" - f"--bind {path_to_sub_derivatives}/input:/flywheel/v0/input:ro " - f"--bind {path_to_sub_derivatives}/output:/flywheel/v0/output " - f"--bind {path_to_sub_derivatives}/work:/flywheel/v0/work " - f"--bind {path_to_sub_derivatives}/output/log/config.json:/flywheel/v0/config.json " - f"--env PATH=/opt/freesurfer/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/freesurfer/fsfast/bin:/opt/freesurfer/tktools:/opt/freesurfer/mni/bin:/sbin:/bin:/opt/ants/bin " - f"--env LANG=C.UTF-8 " - f"--env GPG_KEY=E3FF2839C048B25C084DEBE9B26995E310250568 " - f"--env PYTHON_VERSION=3.9.15 " - f"--env PYTHON_PIP_VERSION=22.0.4 " - f"--env PYTHON_SETUPTOOLS_VERSION=58.1.0 " - f"--env PYTHON_GET_PIP_URL=https://github.com/pypa/get-pip/raw/66030fa03382b4914d4c4d0896961a0bdeeeb274/public/get-pip.py " - f"--env PYTHON_GET_PIP_SHA256=1e501cf004eac1b7eb1f97266d28f995ae835d30250bec7f8850562703067dc6 " - f"--env FLYWHEEL=/flywheel/v0 " - f"--env ANTSPATH=/opt/ants/bin/ " - f"--env FREESURFER_HOME=/opt/freesurfer " - f"--env FREESURFER=/opt/freesurfer " - f"--env DISPLAY=:50.0 " - f"--env FS_LICENSE=/flywheel/v0/work/license.txt " - f"--env OS=Linux " - f"--env FS_OVERRIDE=0 " - f"--env FSF_OUTPUT_FORMAT=nii.gz " - f"--env MNI_DIR=/opt/freesurfer/mni " - f"--env LOCAL_DIR=/opt/freesurfer/local " - f"--env FSFAST_HOME=/opt/freesurfer/fsfast " - f"--env MINC_BIN_DIR=/opt/freesurfer/mni/bin " - f"--env MINC_LIB_DIR=/opt/freesurfer/mni/lib " - f"--env MNI_DATAPATH=/opt/freesurfer/mni/data " - f"--env FMRI_ANALYSIS_DIR=/opt/freesurfer/fsfast " - f"--env PERL5LIB=/opt/freesurfer/mni/lib/perl5/5.8.5 " - f"--env MNI_PERL5LIB=/opt/freesurfer/mni/lib/perl5/5.8.5 " - f"--env XAPPLRESDIR=/opt/freesurfer/MCRv97/X11/app-defaults " - f"--env MCR_CACHE_ROOT=/flywheel/v0/output " - f"--env MCR_CACHE_DIR=/flywheel/v0/output/.mcrCache9.7 " - f"--env FSL_OUTPUT_FORMAT=nii.gz " - f"--env ANTS_VERSION=v2.4.2 " - f"--env QT_QPA_PLATFORM=xcb " - f"--env PWD=/flywheel/v0 " - f"{container_name} " - f"-c python run.py 1> {logfilename}.o 2> {logfilename}.e " - ) - - if container == "rtp2-preproc": - logger.info("\n" + "rtp2-preprc command") - logger.debug( - f"\n the sub is {sub} \n the ses is {ses} \n the analysis dir is {ananlysis_dir}" - ) - - cmd = ( - f"{env_cmd} apptainer run --containall --pwd /flywheel/v0 {bind_cmd}" - f"--bind {path_to_sub_derivatives}/input:/flywheel/v0/input:ro " - f"--bind {path_to_sub_derivatives}/output:/flywheel/v0/output " - # f"--bind {path_to_sub_derivatives}/work:/flywheel/v0/work " - f"--bind {path_to_sub_derivatives}/output/log/config.json:/flywheel/v0/config.json " - f"--env FLYWHEEL=/flywheel/v0 " - f"--env LD_LIBRARY_PATH=/opt/fsl/lib: " - f"--env FSLWISH=/opt/fsl/bin/fslwish " - f"--env FSLTCLSH=/opt/fsl/bin/fsltclsh " - f"--env FSLMULTIFILEQUIT=TRUE " - f"--env FSLOUTPUTTYPE=NIFTI_GZ " - f"--env FSLDIR=/opt/fsl " - f"--env FREESURFER_HOME=/opt/freesurfer " - f"--env ARTHOME=/opt/art " - f"--env ANTSPATH=/opt/ants/bin " - f"--env PYTHON_GET_PIP_SHA256=1e501cf004eac1b7eb1f97266d28f995ae835d30250bec7f8850562703067dc6 " - f"--env PYTHON_GET_PIP_URL=https://github.com/pypa/get-pip/raw/66030fa03382b4914d4c4d0896961a0bdeeeb274/public/get-pip.py " - f"--env PYTHON_PIP_VERSION=22.0.4 " - f"--env PYTHON_VERSION=3.9.15 " - f"--env GPG_KEY=E3FF2839C048B25C084DEBE9B26995E310250568 " - f"--env LANG=C.UTF-8 " - f"--env PATH=/opt/mrtrix3/bin:/opt/ants/bin:/opt/art/bin:/opt/fsl/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin " - f"--env PYTHON_SETUPTOOLS_VERSION=58.1.0 " - f"--env DISPLAY=:50.0 " - f"--env QT_QPA_PLATFORM=xcb " - f"--env FS_LICENSE=/opt/freesurfer/license.txt " - f"--env PWD=/flywheel/v0 " - f"{container_name} " - f"-c python run.py 1> {logfilename}.o 2> {logfilename}.e " - ) - - if container == "rtp2-pipeline": - logger.info("\n" + "rtp2-pipeline command") - logger.debug( - f"\n the sub is {sub} \n the ses is {ses} \n the analysis dir is {ananlysis_dir}" - ) - - cmd = ( - f"{env_cmd} apptainer run --containall --pwd /flywheel/v0 {bind_cmd}" - f"--bind {path_to_sub_derivatives}/input:/flywheel/v0/input:ro " - f"--bind {path_to_sub_derivatives}/output:/flywheel/v0/output " - # f"--bind {path_to_sub_derivatives}/work:/flywheel/v0/work " - f"--bind {path_to_sub_derivatives}/output/log/config.json:/flywheel/v0/config.json " - f"--env PATH=/opt/mrtrix3/bin:/opt/ants/bin:/opt/art/bin:/opt/fsl/bin:/usr/local/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin " - f"--env LANG=C.UTF-8 " - f"--env GPG_KEY=E3FF2839C048B25C084DEBE9B26995E310250568 " - f"--env PYTHON_VERSION=3.9.15 " - f"--env PYTHON_PIP_VERSION=22.0.4 " - f"--env PYTHON_SETUPTOOLS_VERSION=58.1.0 " - f"--env PYTHON_GET_PIP_URL=https://github.com/pypa/get-pip/raw/66030fa03382b4914d4c4d0896961a0bdeeeb274/public/get-pip.py " - f"--env PYTHON_GET_PIP_SHA256=1e501cf004eac1b7eb1f97266d28f995ae835d30250bec7f8850562703067dc6 " - f"--env ANTSPATH=/opt/ants/bin " - f"--env ARTHOME=/opt/art " - f"--env FREESURFER_HOME=/opt/freesurfer " - f"--env FSLDIR=/opt/fsl " - f"--env FSLOUTPUTTYPE=NIFTI_GZ " - f"--env FSLMULTIFILEQUIT=TRUE " - f"--env FSLTCLSH=/opt/fsl/bin/fsltclsh " - f"--env FSLWISH=/opt/fsl/bin/fslwish " - f"--env LD_LIBRARY_PATH=/opt/mcr/v99/runtime/glnxa64:/opt/mcr/v99/bin/glnxa64:/opt/mcr/v99/sys/os/glnxa64:/opt/mcr/v99/extern/bin/glnxa64:/opt/fsl/lib: " - f"--env FLYWHEEL=/flywheel/v0 " - f"--env TEMPLATES=/templates " - f"--env XAPPLRESDIR=/opt/mcr/v99/X11/app-defaults " - f"--env MCR_CACHE_FOLDER_NAME=/flywheel/v0/output/.mcrCache9.9 " - f"--env MCR_CACHE_ROOT=/flywheel/v0/output " - f"--env MRTRIX_TMPFILE_DIR=/flywheel/v0/output/tmp " - f"--env PWD=/flywheel/v0 " - f"{container_name} " - f"-c python run.py 1> {logfilename}.o 2> {logfilename}.e " - ) - - # Check which container we are using, and define the command accordingly - if container == "fmriprep": - logger.info("\n" + f"start to generate the FMRIPREP command") - - nthreads = lc_config["container_specific"][container]["nthreads"] - mem = lc_config["container_specific"][container]["mem"] - fs_license = lc_config["container_specific"][container]["fs_license"] - containerdir = lc_config["general"]["containerdir"] - container_path = os.path.join( - containerdir, - f"{container}_{lc_config['container_specific'][container]['version']}.sif", - ) - precommand = f"mkdir -p {homedir}; " f"unset PYTHONPATH; " - if "local" == host: - cmd = ( - precommand + f"singularity run " - f"-H {homedir} " - f"-B {basedir}:/base -B {fs_license}:/license " - f"--cleanenv {container_path} " - f"-w {ananlysis_dir} " - f"/base/BIDS {ananlysis_dir} participant " - f"--participant-label sub-{sub} " - f"--skip-bids-validation " - f"--output-spaces func fsnative fsaverage T1w MNI152NLin2009cAsym " - f"--dummy-scans 0 " - f"--use-syn-sdc " - f"--fs-license-file /license/license.txt " - f"--nthreads {nthreads} " - f"--omp-nthreads {nthreads} " - f"--stop-on-first-crash " - f"--mem_mb {(mem*1000)-5000} " - ) - if host in ["BCBL", "DIPC"]: - cmd = ( - precommand + f"singularity run " - f"-H {homedir} " - f"-B {basedir}:/base -B {fs_license}:/license " - f"--cleanenv {container_path} " - f"-w {ananlysis_dir} " - f"/base/BIDS {ananlysis_dir} participant " - f"--participant-label sub-{sub} " - f"--skip-bids-validation " - f"--output-spaces func fsnative fsaverage T1w MNI152NLin2009cAsym " - f"--dummy-scans 0 " - f"--use-syn-sdc " - f"--fs-license-file /license/license.txt " - f"--nthreads {nthreads} " - f"--omp-nthreads {nthreads} " - f"--stop-on-first-crash " - f"--mem_mb {(mem*1000)-5000} " - ) - - if container in ["prfprepare", "prfreport", "prfanalyze-vista"]: - config_name = lc_config["container_specific"][container]["config_name"] - homedir = os.path.join(basedir, "singularity_home") - container_path = os.path.join( - containerdir, - f"{container}_{lc_config['container_specific'][container]['version']}.sif", - ) - if host in ["BCBL", "DIPC"]: - cmd = ( - "unset PYTHONPATH; " - f"singularity run " - f"-H {homedir} " - f"-B {basedir}/derivatives/fmriprep:/flywheel/v0/input " - f"-B {ananlysis_dir}:/flywheel/v0/output " - f"-B {basedir}/BIDS:/flywheel/v0/BIDS " - f"-B {ananlysis_dir}/{config_name}.json:/flywheel/v0/config.json " - f"-B {basedir}/license/license.txt:/opt/freesurfer/.license " - f"--cleanenv {container_path} " - ) - elif host == "local": - cmd = ( - "unset PYTHONPATH; " - f"singularity run " - f"-H {homedir} " - f"-B {basedir}/derivatives/fmriprep:/flywheel/v0/input " - f"-B {ananlysis_dir}:/flywheel/v0/output " - f"-B {basedir}/BIDS:/flywheel/v0/BIDS " - f"-B {ananlysis_dir}/{config_name}.json:/flywheel/v0/config.json " - f"-B {basedir}/license/license.txt:/opt/freesurfer/.license " - f"--cleanenv {container_path} " - ) - # If after all configuration, we do not have command, raise an error - if cmd is None: - logger.error( - "\n" - + f"the DWI PIPELINE command is not assigned, please check your config.yaml[general][host] session\n" - ) - raise ValueError("cmd is not defined, aborting") - - # GLU: I don't think this is right, run is done below, I will make it work just for local but not in here, - # it is good that this function just creates the cmd, I would keep it like that - if run_lc: - return(sp.run(cmd, shell = True)) - else: - return cmd - # sp.run(cmd, shell=True) - #return cmd - - -# %% the launchcontainer -def launchcontainer( - ananlysis_dir, - lc_config, - sub_ses_list, - parser_namespace, - path_to_analysis_container_specific_config -): - """ - This function launches containers generically in different Docker/Singularity HPCs - This function is going to assume that all files are where they need to be. - - Args: - ananlysis_dir (str): _description_ - lc_config (str): path to launchcontainer config.yaml file - sub_ses_list (_type_): parsed CSV containing the subject list to be analyzed, and the analysis options - parser_namespace (argparse.Namespace): command line arguments - """ - logger.info("\n" + "#####################################################\n") - - # Get the host and jobqueue config info from the config.yaml file - host = lc_config["general"]["host"] - jobqueue_config = lc_config["host_options"][host] - if host == "local": - launch_mode = jobqueue_config["launch_mode"] - logger.debug(f"\n,, this is the job_queue config {jobqueue_config}") - - force = lc_config["general"]["force"] - logdir = os.path.join(ananlysis_dir, "daskworker_log") - - # Count how many jobs we need to launch from sub_ses_list - n_jobs = np.sum(sub_ses_list.RUN == "True") - - run_lc = parser_namespace.run_lc - - lc_configs = [] - subs = [] - sess = [] - dir_analysiss = [] - paths_to_analysis_config_json = [] - run_lcs = [] - # PREPARATION mode - if not run_lc: - logger.critical( - f"\nlaunchcontainers.py was run in PREPARATION mode (without option --run_lc)\n" - f"Please check that: \n" - f" (1) launchcontainers.py prepared the input data properly\n" - f" (2) the command created for each subject is properly formed\n" - f" (you can copy the command for one subject and launch it " - f"on the prompt before you launch multiple subjects\n" - f" (3) Once the check is done, launch the jobs by adding --run_lc to the first command you executed.\n" - ) - # If the host is not local, print the job script to be launched in the cluster. - if host != "local" or (host == "local" and launch_mode == "dask_worker"): - client, cluster = create_cluster_client(jobqueue_config, n_jobs, logdir) - if host != "local": - logger.critical( - f"The cluster job script for this command is:\n" - f"{cluster.job_script()}" - ) - elif host == "local" and launch_mode == "dask_worker": - logger.critical( - f"The cluster job script for this command is:\n" - f"{cluster}" - ) - # Iterate over the provided subject list - commands = list() - for row in sub_ses_list.itertuples(index=True, name="Pandas"): - sub = row.sub - ses = row.ses - RUN = row.RUN - dwi = row.dwi - - if RUN == "True": - # Append config, subject, session, and path info in corresponding lists - lc_configs.append(lc_config) - subs.append(sub) - sess.append(ses) - dir_analysiss.append(ananlysis_dir) - paths_to_analysis_config_json.append( - path_to_analysis_container_specific_config[0] - ) - run_lcs.append(run_lc) - - # This cmd is only for print the command - command = generate_cmd( - lc_config, - sub, - ses, - ananlysis_dir, - path_to_analysis_container_specific_config, - False # set to False to print the command - ) - commands.append(command) - if not run_lc: - logger.critical( - f"\nCOMMAND for subject-{sub}, and session-{ses}:\n" - f"{command}\n\n" - ) - - if not run_lc and lc_config["general"]["container"] == "fmriprep": - logger.critical( - f"\n" - f"fmriprep now can not deal with session specification, " - f"so the analysis are running on all sessions of the " - f"subject you are specifying" - ) - - # RUN mode - if run_lc and host != "local": - run_dask( - jobqueue_config, - n_jobs, - logdir, - lc_configs, - subs, - sess, - dir_analysiss, - paths_to_analysis_config_json, - run_lcs - ) - - if run_lc and host == "local": - if launch_mode == "parallel": - k = 0 - njobs = jobqueue_config["njobs"] - if njobs == "" or njobs is None: - njobs = 2 - steps = math.ceil(len(commands)/njobs) - logger.critical( - f"\nLocally launching {len(commands)} jobs in parallel every {njobs} jobs " - f"in {steps} steps, check your server's memory, some jobs might fail\n" - ) - for stp in range(steps): - if stp == range(steps)[-1] and (k+njobs) <= len(commands): - selected_commands = commands[k:len(commands)] - else: - selected_commands = commands[k:k+njobs] - logger.critical( - f"JOBS in step {stp+1}:\n{selected_commands}\n" - ) - procs = [ Popen(i, shell=True) for i in selected_commands ] - for p in procs: - p.wait() - k = k+njobs - - elif launch_mode == "dask_worker": - logger.critical( - f"\nLocally launching {len(commands)} jobs with dask-worker, " - f" keep an eye on your server's memory\n" - ) - run_dask( - jobqueue_config, - n_jobs, - logdir, - lc_configs, - subs, - sess, - dir_analysiss, - paths_to_analysis_config_json, - run_lcs - ) - elif launch_mode == "serial": # Run this with dask... - logger.critical( - f"Locally launching {len(commands)} jobs in series, this might take a lot of time" - ) - serial_cmd = "" - for i, cmd in enumerate(commands): - if i == 0: - serial_cmd = cmd - else: - serial_cmd += f" && {cmd}" - logger.critical( - f"LAUNCHING SUPER SERIAL {len(commands)} JOBS:\n{serial_cmd}\n" - ) - sp.run(serial_cmd, shell=True) - - return - -def create_cluster_client(jobqueue_config, n_jobs, logdir): - client, cluster = dsq.dask_scheduler(jobqueue_config, n_jobs, logdir) - return client, cluster - -def run_dask( - jobqueue_config, - n_jobs, - logdir, - lc_configs, - subs, - sess, - dir_analysiss, - paths_to_analysis_config_json, - run_lcs - ): - - client, cluster = create_cluster_client(jobqueue_config, n_jobs, logdir) - logger.info( - "---this is the cluster and client\n" + f"{client} \n cluster: {cluster} \n" - ) - print(subs) - print(sess) - # Compose the command to run in the cluster - futures = client.map( - generate_cmd, - lc_configs, - subs, - sess, - dir_analysiss, - paths_to_analysis_config_json, - run_lcs - ) - # Record the progress - progress(futures) - # Get the info and report it in the logger - results = client.gather(futures) - logger.info(results) - logger.info("###########") - # Close the connection with the client and the cluster, and inform about it - client.close() - cluster.close() - - logger.critical("\n" + "launchcontainer finished, all the jobs are done") - #return client, cluster - - - -# %% main() -def main(): - parser_namespace,parse_dict = do.get_parser() - download_configs=parser_namespace.download_configs - # Check if download_configs argument is provided - if download_configs: - # Ensure the directory exists - if not os.path.exists(download_configs): - os.makedirs(download_configs) - - # Use the mocked version function for testing - launchcontainers_version = do.get_mocked_launchcontainers_version() - - if launchcontainers_version is None: - raise ValueError("Unable to determine launchcontainers version.") - do.download_configs(launchcontainers_version, download_configs) - else: - # Proceed with normal main functionality - print("Executing main functionality with arguments") - # Your main function logic here - # e.g., launch_container(args.other_arg) - # read ymal and setup the launchcontainer program - - lc_config_path = parser_namespace.lc_config - lc_config = do.read_yaml(lc_config_path) - - run_lc = parser_namespace.run_lc - verbose = parser_namespace.verbose - debug = parser_namespace.debug - - - # Get general information from the config.yaml file - basedir=lc_config["general"]["basedir"] - bidsdir_name=lc_config["general"]["bidsdir_name"] - containerdir=lc_config["general"]["containerdir"] - container=lc_config["general"]["container"] - analysis_name=lc_config["general"]["analysis_name"] - host=lc_config["general"]["host"] - force=lc_config["general"]["force"] - print_command_only=lc_config["general"]["print_command_only"] - log_dir=lc_config["general"]["log_dir"] - log_filename=lc_config["general"]["log_filename"] - - version = lc_config["container_specific"][container]["version"] - # get stuff from subseslist for future jobs scheduling - sub_ses_list_path = parser_namespace.sub_ses_list - sub_ses_list,num_of_true_run = do.read_df(sub_ses_list_path) - - - if log_dir=="analysis_dir": - log_dir=op.join(basedir,bidsdir_name,'derivatives',f'{container}_{version}',f"analysis-{analysis_name}") - - do.setup_logger(print_command_only,verbose, debug, log_dir, log_filename) - - # logger the settings - - if host == "local": - njobs = lc_config["host_options"][host]["njobs"] - if njobs == "" or njobs is None: - njobs = 2 - launch_mode = lc_config["host_options"]["local"]["launch_mode"] - valid_options = ["serial", "parallel","dask_worker"] - if launch_mode in valid_options: - host_str = ( - f"{host}, and commands will be launched in {launch_mode} mode " - f"every {njobs} jobs. " - f"Serial is safe but it will take longer. " - f"If you launch in parallel be aware that some of the " - f"processes might be killed if the limit (usually memory) " - f"of the machine is reached. " - ) - else: - do.die( - f"local:launch_mode {launch_mode} was passed, valid options are {valid_options}" - ) - - logger.critical( - "\n" - + "#####################################################\n" - + f"Successfully read the config file {lc_config_path} \n" - + f"SubsesList is read, there are {num_of_true_run} jobs needed to be launched" - + f'Basedir is: {lc_config["general"]["basedir"]} \n' - + f'Container is: {container}_{lc_config["container_specific"][container]["version"]} \n' - + f"Host is: {host_str} \n" - + f'analysis folder is: {lc_config["general"]["analysis_name"]} \n' - + f"##################################################### \n" - ) - - logger.info("Reading the BIDS layout...") - - # Prepare file and launch containers - # First of all prepare the analysis folder: it create you the analysis folder automatically so that you are not messing up with different analysis - ananlysis_dir, dict_store_cs_configs = ( - prepare.prepare_analysis_folder(parser_namespace, lc_config) - ) - - layout = BIDSLayout(os.path.join(basedir, bidsdir_name)) - logger.info("finished reading the BIDS layout.") - path_to_analysis_container_specific_config=dict_store_cs_configs['config_path'] - # Prepare mode - if container in [ - "anatrois", - "rtppreproc", - "rtp-pipeline", - "freesurferator", - "rtp2-preproc", - "rtp2-pipeline" - ]: # TODO: define list in another module for reusability accross modules and functions - logger.debug(f"{container} is in the list") - prepare.prepare_dwi_input( - parser_namespace, ananlysis_dir, lc_config, sub_ses_list, layout, dict_store_cs_configs - ) - else: - logger.error(f"{container} is not in the list") - - - # Run mode - launchcontainer( - ananlysis_dir, - lc_config, - sub_ses_list, - parser_namespace, - path_to_analysis_container_specific_config - ) - - -# #%% -if __name__ == "__main__": - main() diff --git a/old_lc/prepare_inputs/__init__.py b/old_lc/prepare_inputs/__init__.py deleted file mode 100755 index 9c4832b..0000000 --- a/old_lc/prepare_inputs/__init__.py +++ /dev/null @@ -1,15 +0,0 @@ - -""" -MIT License - -Copyright (c) 2020-2023 Garikoitz Lerma-Usabiaga -Copyright (c) 2020-2022 Mengxing Liu -Copyright (c) 2022-2023 Leandro Lecca -Copyright (c) 2022-2023 Yongning Lei -Copyright (c) 2023 David Linhardt -Copyright (c) 2023 Iñigo Tellaetxe - -Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. -""" \ No newline at end of file diff --git a/old_lc/prepare_inputs/_version.py b/old_lc/prepare_inputs/_version.py deleted file mode 100755 index e51b038..0000000 --- a/old_lc/prepare_inputs/_version.py +++ /dev/null @@ -1,689 +0,0 @@ -""" -MIT License - -Copyright (c) 2020-2023 Garikoitz Lerma-Usabiaga -Copyright (c) 2020-2022 Mengxing Liu -Copyright (c) 2022-2023 Leandro Lecca -Copyright (c) 2022-2023 Yongning Lei -Copyright (c) 2023 David Linhardt -Copyright (c) 2023 Iñigo Tellaetxe - -Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. -""" - -# This file helps to compute a version number in source trees obtained from -# git-archive tarball (such as those provided by githubs download-from-tag -# feature). Distribution tarballs (built by setup.py sdist) and build -# directories (produced by setup.py build) will contain a much shorter file -# that just contains the computed version number. - -# This file is released into the public domain. Generated by -# versioneer-0.21 (https://github.com/python-versioneer/python-versioneer) - -"""Git implementation of _version.py.""" - -import errno -import os -import re -import subprocess -import sys -from typing import Callable, Dict - - -def get_keywords(): - """Get the keywords needed to look up the version information.""" - # these strings will be replaced by git during git-archive. - # setup.py/versioneer.py will grep for the variable names, so they must - # each be defined on a line of their own. _version.py will just call - # get_keywords(). - git_refnames = " (HEAD -> main)" - git_full = "9871afa4c3dd746087cf6c3fc8e3ecbaab6775ba" - git_date = "2022-11-26 16:53:44 +0100" - keywords = {"refnames": git_refnames, "full": git_full, "date": git_date} - return keywords - - -class VersioneerConfig: - """Container for Versioneer configuration parameters.""" - - -def get_config(): - """Create, populate and return the VersioneerConfig() object.""" - # these strings are filled in when 'setup.py versioneer' creates - # _version.py - cfg = VersioneerConfig() - cfg.VCS = "git" - cfg.style = "pep440" - cfg.tag_prefix = "" - cfg.parentdir_prefix = "" - cfg.versionfile_source = "launchcontainers/_version.py" - cfg.verbose = False - return cfg - - -class NotThisMethod(Exception): - """Exception raised if a method is not valid for the current scenario.""" - - -LONG_VERSION_PY: Dict[str, str] = {} -HANDLERS: Dict[str, Dict[str, Callable]] = {} - - -def register_vcs_handler(vcs, method): # decorator - """Create decorator to mark a method as the handler of a VCS.""" - - def decorate(f): - """Store f in HANDLERS[vcs][method].""" - if vcs not in HANDLERS: - HANDLERS[vcs] = {} - HANDLERS[vcs][method] = f - return f - - return decorate - - -def run_command(commands, args, cwd=None, verbose=False, hide_stderr=False, env=None): - """Call the given command(s).""" - assert isinstance(commands, list) - process = None - for command in commands: - try: - dispcmd = str([command] + args) - # remember shell=False, so use git.cmd on windows, not just git - process = subprocess.Popen( - [command] + args, - cwd=cwd, - env=env, - stdout=subprocess.PIPE, - stderr=(subprocess.PIPE if hide_stderr else None), - ) - break - except OSError: - e = sys.exc_info()[1] - if e.errno == errno.ENOENT: - continue - if verbose: - print("unable to run %s" % dispcmd) - print(e) - return None, None - else: - if verbose: - print("unable to find command, tried %s" % (commands,)) - return None, None - stdout = process.communicate()[0].strip().decode() - if process.returncode != 0: - if verbose: - print("unable to run %s (error)" % dispcmd) - print("stdout was %s" % stdout) - return None, process.returncode - return stdout, process.returncode - - -def versions_from_parentdir(parentdir_prefix, root, verbose): - """Try to determine the version from the parent directory name. - - Source tarballs conventionally unpack into a directory that includes both - the project name and a version string. We will also support searching up - two directory levels for an appropriately named parent directory - """ - rootdirs = [] - - for _ in range(3): - dirname = os.path.basename(root) - if dirname.startswith(parentdir_prefix): - return { - "version": dirname[len(parentdir_prefix) :], - "full-revisionid": None, - "dirty": False, - "error": None, - "date": None, - } - rootdirs.append(root) - root = os.path.dirname(root) # up a level - - if verbose: - print( - "Tried directories %s but none started with prefix %s" - % (str(rootdirs), parentdir_prefix) - ) - raise NotThisMethod("rootdir doesn't start with parentdir_prefix") - - -@register_vcs_handler("git", "get_keywords") -def git_get_keywords(versionfile_abs): - """Extract version information from the given file.""" - # the code embedded in _version.py can just fetch the value of these - # keywords. When used from setup.py, we don't want to import _version.py, - # so we do it with a regexp instead. This function is not used from - # _version.py. - keywords = {} - try: - with open(versionfile_abs, "r") as fobj: - for line in fobj: - if line.strip().startswith("git_refnames ="): - mo = re.search(r'=\s*"(.*)"', line) - if mo: - keywords["refnames"] = mo.group(1) - if line.strip().startswith("git_full ="): - mo = re.search(r'=\s*"(.*)"', line) - if mo: - keywords["full"] = mo.group(1) - if line.strip().startswith("git_date ="): - mo = re.search(r'=\s*"(.*)"', line) - if mo: - keywords["date"] = mo.group(1) - except OSError: - pass - return keywords - - -@register_vcs_handler("git", "keywords") -def git_versions_from_keywords(keywords, tag_prefix, verbose): - """Get version information from git keywords.""" - if "refnames" not in keywords: - raise NotThisMethod("Short version file found") - date = keywords.get("date") - if date is not None: - # Use only the last line. Previous lines may contain GPG signature - # information. - date = date.splitlines()[-1] - - # git-2.2.0 added "%cI", which expands to an ISO-8601 -compliant - # datestamp. However we prefer "%ci" (which expands to an "ISO-8601 - # -like" string, which we must then edit to make compliant), because - # it's been around since git-1.5.3, and it's too difficult to - # discover which version we're using, or to work around using an - # older one. - date = date.strip().replace(" ", "T", 1).replace(" ", "", 1) - refnames = keywords["refnames"].strip() - if refnames.startswith("$Format"): - if verbose: - print("keywords are unexpanded, not using") - raise NotThisMethod("unexpanded keywords, not a git-archive tarball") - refs = {r.strip() for r in refnames.strip("()").split(",")} - # starting in git-1.8.3, tags are listed as "tag: foo-1.0" instead of - # just "foo-1.0". If we see a "tag: " prefix, prefer those. - TAG = "tag: " - tags = {r[len(TAG) :] for r in refs if r.startswith(TAG)} - if not tags: - # Either we're using git < 1.8.3, or there really are no tags. We use - # a heuristic: assume all version tags have a digit. The old git %d - # expansion behaves like git log --decorate=short and strips out the - # refs/heads/ and refs/tags/ prefixes that would let us distinguish - # between branches and tags. By ignoring refnames without digits, we - # filter out many common branch names like "release" and - # "stabilization", as well as "HEAD" and "master". - tags = {r for r in refs if re.search(r"\d", r)} - if verbose: - print("discarding '%s', no digits" % ",".join(refs - tags)) - if verbose: - print("likely tags: %s" % ",".join(sorted(tags))) - for ref in sorted(tags): - # sorting will prefer e.g. "2.0" over "2.0rc1" - if ref.startswith(tag_prefix): - r = ref[len(tag_prefix) :] - # Filter out refs that exactly match prefix or that don't start - # with a number once the prefix is stripped (mostly a concern - # when prefix is '') - if not re.match(r"\d", r): - continue - if verbose: - print("picking %s" % r) - return { - "version": r, - "full-revisionid": keywords["full"].strip(), - "dirty": False, - "error": None, - "date": date, - } - # no suitable tags, so version is "0+unknown", but full hex is still there - if verbose: - print("no suitable tags, using unknown + full revision id") - return { - "version": "0+unknown", - "full-revisionid": keywords["full"].strip(), - "dirty": False, - "error": "no suitable tags", - "date": None, - } - - -@register_vcs_handler("git", "pieces_from_vcs") -def git_pieces_from_vcs(tag_prefix, root, verbose, runner=run_command): - """Get version from 'git describe' in the root of the source tree. - - This only gets called if the git-archive 'subst' keywords were *not* - expanded, and _version.py hasn't already been rewritten with a short - version string, meaning we're inside a checked out source tree. - """ - GITS = ["git"] - TAG_PREFIX_REGEX = "*" - if sys.platform == "win32": - GITS = ["git.cmd", "git.exe"] - TAG_PREFIX_REGEX = r"\*" - - _, rc = runner(GITS, ["rev-parse", "--git-dir"], cwd=root, hide_stderr=True) - if rc != 0: - if verbose: - print("Directory %s not under git control" % root) - raise NotThisMethod("'git rev-parse --git-dir' returned error") - - # if there is a tag matching tag_prefix, this yields TAG-NUM-gHEX[-dirty] - # if there isn't one, this yields HEX[-dirty] (no NUM) - describe_out, rc = runner( - GITS, - [ - "describe", - "--tags", - "--dirty", - "--always", - "--long", - "--match", - "%s%s" % (tag_prefix, TAG_PREFIX_REGEX), - ], - cwd=root, - ) - # --long was added in git-1.5.5 - if describe_out is None: - raise NotThisMethod("'git describe' failed") - describe_out = describe_out.strip() - full_out, rc = runner(GITS, ["rev-parse", "HEAD"], cwd=root) - if full_out is None: - raise NotThisMethod("'git rev-parse' failed") - full_out = full_out.strip() - - pieces = {} - pieces["long"] = full_out - pieces["short"] = full_out[:7] # maybe improved later - pieces["error"] = None - - branch_name, rc = runner(GITS, ["rev-parse", "--abbrev-ref", "HEAD"], cwd=root) - # --abbrev-ref was added in git-1.6.3 - if rc != 0 or branch_name is None: - raise NotThisMethod("'git rev-parse --abbrev-ref' returned error") - branch_name = branch_name.strip() - - if branch_name == "HEAD": - # If we aren't exactly on a branch, pick a branch which represents - # the current commit. If all else fails, we are on a branchless - # commit. - branches, rc = runner(GITS, ["branch", "--contains"], cwd=root) - # --contains was added in git-1.5.4 - if rc != 0 or branches is None: - raise NotThisMethod("'git branch --contains' returned error") - branches = branches.split("\n") - - # Remove the first line if we're running detached - if "(" in branches[0]: - branches.pop(0) - - # Strip off the leading "* " from the list of branches. - branches = [branch[2:] for branch in branches] - if "master" in branches: - branch_name = "master" - elif not branches: - branch_name = None - else: - # Pick the first branch that is returned. Good or bad. - branch_name = branches[0] - - pieces["branch"] = branch_name - - # parse describe_out. It will be like TAG-NUM-gHEX[-dirty] or HEX[-dirty] - # TAG might have hyphens. - git_describe = describe_out - - # look for -dirty suffix - dirty = git_describe.endswith("-dirty") - pieces["dirty"] = dirty - if dirty: - git_describe = git_describe[: git_describe.rindex("-dirty")] - - # now we have TAG-NUM-gHEX or HEX - - if "-" in git_describe: - # TAG-NUM-gHEX - mo = re.search(r"^(.+)-(\d+)-g([0-9a-f]+)$", git_describe) - if not mo: - # unparsable. Maybe git-describe is misbehaving? - pieces["error"] = "unable to parse git-describe output: '%s'" % describe_out - return pieces - - # tag - full_tag = mo.group(1) - if not full_tag.startswith(tag_prefix): - if verbose: - fmt = "tag '%s' doesn't start with prefix '%s'" - print(fmt % (full_tag, tag_prefix)) - pieces["error"] = "tag '%s' doesn't start with prefix '%s'" % (full_tag, tag_prefix) - return pieces - pieces["closest-tag"] = full_tag[len(tag_prefix) :] - - # distance: number of commits since tag - pieces["distance"] = int(mo.group(2)) - - # commit: short hex revision ID - pieces["short"] = mo.group(3) - - else: - # HEX: no tags - pieces["closest-tag"] = None - count_out, rc = runner(GITS, ["rev-list", "HEAD", "--count"], cwd=root) - pieces["distance"] = int(count_out) # total number of commits - - # commit date: see ISO-8601 comment in git_versions_from_keywords() - date = runner(GITS, ["show", "-s", "--format=%ci", "HEAD"], cwd=root)[0].strip() - # Use only the last line. Previous lines may contain GPG signature - # information. - date = date.splitlines()[-1] - pieces["date"] = date.strip().replace(" ", "T", 1).replace(" ", "", 1) - - return pieces - - -def plus_or_dot(pieces): - """Return a + if we don't already have one, else return a .""" - if "+" in pieces.get("closest-tag", ""): - return "." - return "+" - - -def render_pep440(pieces): - """Build up version string, with post-release "local version identifier". - - Our goal: TAG[+DISTANCE.gHEX[.dirty]] . Note that if you - get a tagged build and then dirty it, you'll get TAG+0.gHEX.dirty - - Exceptions: - 1: no tags. git_describe was just HEX. 0+untagged.DISTANCE.gHEX[.dirty] - """ - if pieces["closest-tag"]: - rendered = pieces["closest-tag"] - if pieces["distance"] or pieces["dirty"]: - rendered += plus_or_dot(pieces) - rendered += "%d.g%s" % (pieces["distance"], pieces["short"]) - if pieces["dirty"]: - rendered += ".dirty" - else: - # exception #1 - rendered = "0+untagged.%d.g%s" % (pieces["distance"], pieces["short"]) - if pieces["dirty"]: - rendered += ".dirty" - return rendered - - -def render_pep440_branch(pieces): - """TAG[[.dev0]+DISTANCE.gHEX[.dirty]] . - - The ".dev0" means not master branch. Note that .dev0 sorts backwards - (a feature branch will appear "older" than the master branch). - - Exceptions: - 1: no tags. 0[.dev0]+untagged.DISTANCE.gHEX[.dirty] - """ - if pieces["closest-tag"]: - rendered = pieces["closest-tag"] - if pieces["distance"] or pieces["dirty"]: - if pieces["branch"] != "master": - rendered += ".dev0" - rendered += plus_or_dot(pieces) - rendered += "%d.g%s" % (pieces["distance"], pieces["short"]) - if pieces["dirty"]: - rendered += ".dirty" - else: - # exception #1 - rendered = "0" - if pieces["branch"] != "master": - rendered += ".dev0" - rendered += "+untagged.%d.g%s" % (pieces["distance"], pieces["short"]) - if pieces["dirty"]: - rendered += ".dirty" - return rendered - - -def pep440_split_post(ver): - """Split pep440 version string at the post-release segment. - - Returns the release segments before the post-release and the - post-release version number (or -1 if no post-release segment is present). - """ - vc = str.split(ver, ".post") - return vc[0], int(vc[1] or 0) if len(vc) == 2 else None - - -def render_pep440_pre(pieces): - """TAG[.postN.devDISTANCE] -- No -dirty. - - Exceptions: - 1: no tags. 0.post0.devDISTANCE - """ - if pieces["closest-tag"]: - if pieces["distance"]: - # update the post release segment - tag_version, post_version = pep440_split_post(pieces["closest-tag"]) - rendered = tag_version - if post_version is not None: - rendered += ".post%d.dev%d" % (post_version + 1, pieces["distance"]) - else: - rendered += ".post0.dev%d" % (pieces["distance"]) - else: - # no commits, use the tag as the version - rendered = pieces["closest-tag"] - else: - # exception #1 - rendered = "0.post0.dev%d" % pieces["distance"] - return rendered - - -def render_pep440_post(pieces): - """TAG[.postDISTANCE[.dev0]+gHEX] . - - The ".dev0" means dirty. Note that .dev0 sorts backwards - (a dirty tree will appear "older" than the corresponding clean one), - but you shouldn't be releasing software with -dirty anyways. - - Exceptions: - 1: no tags. 0.postDISTANCE[.dev0] - """ - if pieces["closest-tag"]: - rendered = pieces["closest-tag"] - if pieces["distance"] or pieces["dirty"]: - rendered += ".post%d" % pieces["distance"] - if pieces["dirty"]: - rendered += ".dev0" - rendered += plus_or_dot(pieces) - rendered += "g%s" % pieces["short"] - else: - # exception #1 - rendered = "0.post%d" % pieces["distance"] - if pieces["dirty"]: - rendered += ".dev0" - rendered += "+g%s" % pieces["short"] - return rendered - - -def render_pep440_post_branch(pieces): - """TAG[.postDISTANCE[.dev0]+gHEX[.dirty]] . - - The ".dev0" means not master branch. - - Exceptions: - 1: no tags. 0.postDISTANCE[.dev0]+gHEX[.dirty] - """ - if pieces["closest-tag"]: - rendered = pieces["closest-tag"] - if pieces["distance"] or pieces["dirty"]: - rendered += ".post%d" % pieces["distance"] - if pieces["branch"] != "master": - rendered += ".dev0" - rendered += plus_or_dot(pieces) - rendered += "g%s" % pieces["short"] - if pieces["dirty"]: - rendered += ".dirty" - else: - # exception #1 - rendered = "0.post%d" % pieces["distance"] - if pieces["branch"] != "master": - rendered += ".dev0" - rendered += "+g%s" % pieces["short"] - if pieces["dirty"]: - rendered += ".dirty" - return rendered - - -def render_pep440_old(pieces): - """TAG[.postDISTANCE[.dev0]] . - - The ".dev0" means dirty. - - Exceptions: - 1: no tags. 0.postDISTANCE[.dev0] - """ - if pieces["closest-tag"]: - rendered = pieces["closest-tag"] - if pieces["distance"] or pieces["dirty"]: - rendered += ".post%d" % pieces["distance"] - if pieces["dirty"]: - rendered += ".dev0" - else: - # exception #1 - rendered = "0.post%d" % pieces["distance"] - if pieces["dirty"]: - rendered += ".dev0" - return rendered - - -def render_git_describe(pieces): - """TAG[-DISTANCE-gHEX][-dirty]. - - Like 'git describe --tags --dirty --always'. - - Exceptions: - 1: no tags. HEX[-dirty] (note: no 'g' prefix) - """ - if pieces["closest-tag"]: - rendered = pieces["closest-tag"] - if pieces["distance"]: - rendered += "-%d-g%s" % (pieces["distance"], pieces["short"]) - else: - # exception #1 - rendered = pieces["short"] - if pieces["dirty"]: - rendered += "-dirty" - return rendered - - -def render_git_describe_long(pieces): - """TAG-DISTANCE-gHEX[-dirty]. - - Like 'git describe --tags --dirty --always -long'. - The distance/hash is unconditional. - - Exceptions: - 1: no tags. HEX[-dirty] (note: no 'g' prefix) - """ - if pieces["closest-tag"]: - rendered = pieces["closest-tag"] - rendered += "-%d-g%s" % (pieces["distance"], pieces["short"]) - else: - # exception #1 - rendered = pieces["short"] - if pieces["dirty"]: - rendered += "-dirty" - return rendered - - -def render(pieces, style): - """Render the given version pieces into the requested style.""" - if pieces["error"]: - return { - "version": "unknown", - "full-revisionid": pieces.get("long"), - "dirty": None, - "error": pieces["error"], - "date": None, - } - - if not style or style == "default": - style = "pep440" # the default - - if style == "pep440": - rendered = render_pep440(pieces) - elif style == "pep440-branch": - rendered = render_pep440_branch(pieces) - elif style == "pep440-pre": - rendered = render_pep440_pre(pieces) - elif style == "pep440-post": - rendered = render_pep440_post(pieces) - elif style == "pep440-post-branch": - rendered = render_pep440_post_branch(pieces) - elif style == "pep440-old": - rendered = render_pep440_old(pieces) - elif style == "git-describe": - rendered = render_git_describe(pieces) - elif style == "git-describe-long": - rendered = render_git_describe_long(pieces) - else: - raise ValueError("unknown style '%s'" % style) - - return { - "version": rendered, - "full-revisionid": pieces["long"], - "dirty": pieces["dirty"], - "error": None, - "date": pieces.get("date"), - } - - -def get_versions(): - """Get version information or return default if unable to do so.""" - # I am in _version.py, which lives at ROOT/VERSIONFILE_SOURCE. If we have - # __file__, we can work backwards from there to the root. Some - # py2exe/bbfreeze/non-CPython implementations don't do __file__, in which - # case we can only use expanded keywords. - - cfg = get_config() - verbose = cfg.verbose - - try: - return git_versions_from_keywords(get_keywords(), cfg.tag_prefix, verbose) - except NotThisMethod: - pass - - try: - root = os.path.realpath(__file__) - # versionfile_source is the relative path from the top of the source - # tree (where the .git directory might live) to this file. Invert - # this to find the root from __file__. - for _ in cfg.versionfile_source.split("/"): - root = os.path.dirname(root) - except NameError: - return { - "version": "0+unknown", - "full-revisionid": None, - "dirty": None, - "error": "unable to find root of source tree", - "date": None, - } - - try: - pieces = git_pieces_from_vcs(cfg.tag_prefix, root, verbose) - return render(pieces, cfg.style) - except NotThisMethod: - pass - - try: - if cfg.parentdir_prefix: - return versions_from_parentdir(cfg.parentdir_prefix, root, verbose) - except NotThisMethod: - pass - - return { - "version": "0+unknown", - "full-revisionid": None, - "dirty": None, - "error": "unable to compute version", - "date": None, - } diff --git a/old_lc/prepare_inputs/check_parser.py b/old_lc/prepare_inputs/check_parser.py deleted file mode 100755 index 67db352..0000000 --- a/old_lc/prepare_inputs/check_parser.py +++ /dev/null @@ -1,201 +0,0 @@ -""" -MIT License - -Copyright (c) 2020-2023 Garikoitz Lerma-Usabiaga -Copyright (c) 2020-2022 Mengxing Liu -Copyright (c) 2022-2023 Leandro Lecca -Copyright (c) 2022-2023 Yongning Lei -Copyright (c) 2023 David Linhardt -Copyright (c) 2023 Iñigo Tellaetxe - -Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. -""" - -import argparse -from argparse import RawDescriptionHelpFormatter -import sys - - -# %% parser -def get_parser(): - - """Parses command line inputs - Args: - None - Returns: - parse_namespace(argparse.Namespace): dict-like storing the command line arguments - - """ - parser = argparse.ArgumentParser( - description= """ - This python program helps you analysis MRI data through different containers, - Before you make use of this program, please prepare the environment, edit the required config files, to match your analysis demand. \n - SAMPLE CMD LINE COMMAND \n\n - ###########STEP1############# \n - To begin the analysis, you need to first prepare and check the input files by typing this command in your bash prompt: - python path/to/the/launchcontianer.py -lcc path/to/launchcontainer_config.yaml -ssl path/to/subject_session_info.txt - -cc path/to/container_specific_config.json \n - ##--cc note, for the case of rtp-pipeline, you need to input two paths, one for config.json and one for tractparm.csv \n\n - ###########STEP2############# \n - After you have done step 1, all the config files are copied to BIDS/sub/ses/analysis/ directory - When you are confident everything is there, press up arrow to recall the command in STEP 1, and just add --run_lc after it. \n\n - - We add lots of check in the script to avoid program breakdowns. if you found new bugs while running, do not hesitate to contact us""" - , formatter_class=RawDescriptionHelpFormatter) - - parser.add_argument( - "-lcc", - "--lc_config", - type=str, - #default="", - help="path to the config file", - ) - parser.add_argument( - "-ssl", - "--sub_ses_list", - type=str, - #default="", - help="path to the subSesList", - ) - parser.add_argument( - "-cc", - "--container_specific_config", - nargs='*', - default=[], - #default=["/export/home/tlei/tlei/PROJDATA/TESTDATA_LC/Testing_02/BIDS/config.json"], - help="path to the container specific config file(s). First file needs to be the config.json file of the container. \ - Some containers might need more config files (e.g., rtp-pipeline needs tractparams.csv). \ - some don't need any configs (e.g fmriprep) Add them here separated with a space.", - ) - - parser.add_argument('--run_lc', action='store_true', - help= "if you type --run_lc, the entire program will be launched, jobs will be send to \ - cluster and launch the corresponding container you suggest in config_lc.yaml. \ - We suggest that the first time you run launchcontainer.py, leave this argument empty. \ - then the launchcontainer.py will prepare \ - all the input files for you and print the command you want to send to container, after you \ - check all the configurations are correct and ready, you type --run_lc to make it run" - ) - - parser.add_argument( - "-v", - "--verbose", - action="store_true", - help="if you want to open verbose mode, type -v or --verbose, other wise the program is non-verbose mode", - ) - parser.add_argument( - "--DEBUG", - action="store_true", - help="if you want to find out what is happening of particular step, this will print you more detailed information", - ) - if len(sys.argv)==1: - parser.print_help(sys.stderr) - sys.exit(1) - - parse_dict = vars(parser.parse_args()) - parse_namespace= parser.parse_args() - - print("\n"+ - "#####################################################\n" + - "This is the result from get_parser()\n"+ - f'{parse_dict}\n'+ - "#####################################################\n") - - return parse_namespace - -# %% parser -def get_parser2(): - """Parses command line inputs - Args: - None - Returns: - parse_namespace(argparse.Namespace): dict-like storing the command line arguments - parse_dict(mappingproxy): parsed arguments from the argument parser - """ - parser = argparse.ArgumentParser( - description= """ - This python program helps you analysis MRI data through different containers, - Before you make use of this program, please edit the required config files to match your analysis demand. \n - SAMPLE CMD LINE COMMAND \n\n - ###########STEP1############# \n - To begin the analysis, you need to first prepare and check the input files by typing this command in your bash prompt: - python path/to/the/launchcontianer.py -lcc path/to/launchcontainer_config.yaml -ssl path/to/subject_session_info.txt - -cc path/to/contianer_specific_config.json \n - ##--cc note, for the case of rtp-pipeline, you need to input two paths, one for config.json and one for tractparm.csv \n\n - ###########STEP2############# \n - After you have done step 1, all the config files are copied to nifti/sub/ses/analysis/ directory - When you are confident everthing is there, press up arrow to recall the command in STEP 1, and just add --run_lc after it. \n\n - - We add lots of check in the script to avoid program breakdowns. if you found new bugs while running, do not hesitate to contact us""" - , formatter_class=RawDescriptionHelpFormatter) - - parser.add_argument( - "-lcc", - "--lc_config", - type=str, - # default="/Users/tiger/TESTDATA/PROJ01/nifti/config_launchcontainer_copy.yaml", - #default="/export/home/tlei/tlei/PROJDATA/TESTDATA_LC/Testing_02/nifti/lc_config.yaml", - help="path to the config file", - ) - parser.add_argument( - "-ssl", - "--sub_ses_list", - type=str, - # default="/Users/tiger/TESTDATA/PROJ01/nifti/subSesList.txt", - #default="/export/home/tlei/tlei/PROJDATA/TESTDATA_LC/Testing_02/nifti/subSesList.txt", - help="path to the subSesList", - ) - parser.add_argument( - "-cc", - "--container_specific_config", - nargs='+', - # default="/Users/tiger/Documents/GitHub/launchcontainers/example_configs/container_especific_example_configs/anatrois/4.2.7_7.1.1/example_config.json", - #default="/export/home/tlei/tlei/PROJDATA/TESTDATA_LC/Testing_02/nifti/config.json", - help="path to the container specific config file(s). First file needs to be the config.json file of the container. Some containers might need more config files (e.g., rtp-pipeline needs tractparams.csv). Add them here separated with a space.", - ) - - parser.add_argument('--run_lc', action='store_true', - help= "if you type --run_lc, the entire program will be launched, jobs will be send to \ - cluster and launch the corresponding container you suggest in config_lc.yaml. \ - We suggest that the first time you run launchcontainer.py, leave this arguement empty. \ - then the launchcontainer.py will preapre \ - all the input files for you and print the command you want to send to container, after you \ - check all the configurations are correct and ready, you type --run_lc to make it run" - ) - parser.add_argument('--not_run_lc', dest='run_lc', action='store_false') - #parser.set_defaults(run_lc=False) - - parser.add_argument( - "-v", - "--verbose", - action="store_true", - help="if you want to open verbose mode, type -v or --verbose, other wise the program is non-verbose mode", - ) - - parse_dict = vars(parser.parse_args()) - parse_namespace= parser.parse_args() - - print("\n"+ - "#####################################################\n" + - "This is the result from get_parser()\n"+ - f'{parse_dict}\n'+ - "#####################################################\n") - - return parse_namespace, parse_dict - - -def main(): - - - #get the path from command line input - #parser_namespace = get_parser() - parser_namespace, parse_dict = get_parser2() - print(parser_namespace.container_specific_config) - print(parse_dict) - - -# #%% -if __name__ == "__main__": - main() diff --git a/old_lc/prepare_inputs/dask_scheduler_config.py b/old_lc/prepare_inputs/dask_scheduler_config.py deleted file mode 100755 index f562f47..0000000 --- a/old_lc/prepare_inputs/dask_scheduler_config.py +++ /dev/null @@ -1,140 +0,0 @@ -""" -MIT License - -Copyright (c) 2020-2023 Garikoitz Lerma-Usabiaga -Copyright (c) 2020-2022 Mengxing Liu -Copyright (c) 2022-2024 Leandro Lecca -Copyright (c) 2022-2023 Yongning Lei -Copyright (c) 2023 David Linhardt -Copyright (c) 2023 Iñigo Tellaetxe - -Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. -""" -import logging -import os -from dask import config -from dask.distributed import Client, LocalCluster -from dask_jobqueue import SGECluster, SLURMCluster - -logger = logging.getLogger("Launchcontainers") - -def initiate_cluster(jobqueue_config, n_job, logdir): - ''' - Parameters - ---------- - jobqueue_config : dictionary - read the jobquene_yaml from the yaml file - n_job : not clear what should it be - basically it's a quene specific thing, needs to check if it's dask specific. - - Returns - ------- - cluster_by_config : dask cluster object - according to the jobquene config, we defined a cluster object we want to use. - - ''' - config.set(distributed__comm__timeouts__tcp="90s") - config.set(distributed__comm__timeouts__connect="90s") - config.set(scheduler="single-threaded") - config.set({"distributed.scheduler.allowed-failures": 50}) - config.set(admin__tick__limit="3h") - #config.set({"distributed.worker.use-file-locking": False}) - - if jobqueue_config["manager"] in ["sge","slurm"] and not os.path.exists(logdir): - os.makedirs(logdir) - - if "sge" in jobqueue_config["manager"]: - envextra = [f"module load {jobqueue_config['apptainer']} " - #f"conda activate /export/home/tlei/tlei/conda_env/launchcontainers" - ] - cluster_by_config = SGECluster(cores = jobqueue_config["cores"], - memory = jobqueue_config["memory"], - queue = jobqueue_config["queue"], - name = jobqueue_config["name"], - # project = jobqueue_config["project"], - # processes = jobqueue_config["processes"], - # interface = jobqueue_config["interface"], - # nanny = None, - # local_directory = jobqueue_config["local-directory"], - # death_timeout = jobqueue_config["death-timeout"], - # worker_extra_args = None, - job_script_prologue = envextra, - # job_script_prologue = None, - # header_skip=None, - # job_directives_skip=None, - log_directory=logdir, - # shebang=jobqueue_config["shebang"], - # python=None, - # config_name=None, - # n_workers=n_job, - # silence_logs=None, - # asynchronous=None, - # security=None, - # scheduler_options=None, - # scheduler_cls=None, - # shared_temp_directory=None, - # resource_spec=jobqueue_config["resource-spec"], - walltime=jobqueue_config["walltime"])#, - #job_extra_directives=job_extra_directives) - cluster_by_config.scale(jobs=n_job) - - elif "slurm" in jobqueue_config["manager"]: - envextra = [f"module load {jobqueue_config['apptainer']} ",\ - f"export SINGULARITYENV_TMPDIR={jobqueue_config['tmpdir']}",\ - "export SINGULARITY_BIND=''",\ - "TMPDIR="] - cluster_by_config = SLURMCluster(cores = jobqueue_config["cores"], - memory = jobqueue_config["memory"], - job_script_prologue = envextra, - log_directory = logdir, - queue = jobqueue_config["queue"], - name = jobqueue_config["name"], - death_timeout = 300,#jobqueue_config["death-timeout"], - walltime=jobqueue_config["walltime"], - job_extra_directives = ["--export=ALL"]) - cluster_by_config.scale(jobs=n_job) - elif "local" in jobqueue_config["manager"]: - logger.debug("defining local cluster") - cluster_by_config = LocalCluster( - processes = False, - n_workers = n_job, - threads_per_worker = jobqueue_config["threads_per_worker"], - memory_limit = jobqueue_config["memory_limit"], - ) - - else: - logger.warning( - "dask configuration wasn't detected, " - "if you are using a cluster please look at " - "the jobqueue YAML example, modify it so it works in your cluster " - "and add it to ~/.config/dask " - "local configuration will be used." - "You can find a jobqueue YAML example in the pySPFM/jobqueue.yaml file." - ) - cluster_by_config = None - # print(f"----------------This is the self report of function initiate_cluster()\n, the cluster was defined as the {jobqueue_config['manager']}cluster \n") - # print(f"----------------------------The cluster job_scipt is {cluster_by_config.job_script()} \n") - # print(f"----check for job scale, the number of jobs is {n_job}") - # print(f"-----under of initiate_cluster() report the cluster is {cluster_by_config}") - return cluster_by_config - - -def dask_scheduler(jobqueue_config, n_job, logdir): - if jobqueue_config is None: - logger.warning( - "dask configuration wasn't detected, " - "if you are using a cluster please look at " - "the jobqueue YAML example, modify it so it works in your cluster " - "and add it to ~/.config/dask " - "local configuration will be used." - - ) - cluster = None - else: - cluster = initiate_cluster(jobqueue_config, n_job, logdir) - - client = None if cluster is None else Client(cluster) - - return client, cluster diff --git a/old_lc/prepare_inputs/prepare.py b/old_lc/prepare_inputs/prepare.py deleted file mode 100755 index 6672e7c..0000000 --- a/old_lc/prepare_inputs/prepare.py +++ /dev/null @@ -1,391 +0,0 @@ -""" -MIT License - -Copyright (c) 2020-2023 Garikoitz Lerma-Usabiaga -Copyright (c) 2020-2022 Mengxing Liu -Copyright (c) 2022-2024 Leandro Lecca -Copyright (c) 2022-2023 Yongning Lei -Copyright (c) 2023 David Linhardt -Copyright (c) 2023 Iñigo Tellaetxe - -Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. -""" - -import logging -import os -import os.path as op -import json -import zipfile - -from . import utils as do -from . import prepare_dwi as dwipre - -logger = logging.getLogger("Launchcontainers") - -def prepare_analysis_folder(parser_namespace, lc_config): - ''' - Description: create analysis folder based on your container and your analysis. - - In the meantime, it will copy your input config files to the analysis folder. - - In the end, it will check if everything are in place and ready for the next level preparation - which is at the subject and session level - - After this step, the following preparing method will based on the config files under the analysis folder instread of your input - ''' - # read parameters from lc_config - basedir = lc_config['general']['basedir'] - container = lc_config['general']['container'] - force = lc_config["general"]["force"] - analysis_name= lc_config['general']['analysis_name'] - run_lc = parser_namespace.run_lc - force= force or run_lc - version = lc_config["container_specific"][container]["version"] - bidsdir_name = lc_config['general']['bidsdir_name'] - container_folder = op.join(basedir, bidsdir_name,'derivatives',f'{container}_{version}') - if not op.isdir(container_folder): - os.makedirs(container_folder) - - analysis_dir = op.join( - container_folder, - f"analysis-{analysis_name}", - ) - if not op.isdir(analysis_dir): - os.makedirs(analysis_dir) - - ############################################################################################ - ############################Copy the configs################################################ - ############################################################################################ - # define the potential exist config files - lc_config_under_analysis_folder = op.join(analysis_dir, "lc_config.yaml") - subSeslist_under_analysis_folder = op.join(analysis_dir, "subSesList.txt") - # the name of container_specific configs is consitant with your input name, it is not necessary a .json file - container_configs_under_analysis_folder = op.join(analysis_dir,os.path.basename(parser_namespace.container_specific_config)) - - # then we have optional configs we need to add to the list - # copy the config under the analysis folder - do.copy_file(parser_namespace.lc_config, lc_config_under_analysis_folder, force) - do.copy_file(parser_namespace.sub_ses_list,subSeslist_under_analysis_folder,force) - do.copy_file(parser_namespace.container_specific_config, container_configs_under_analysis_folder, force) - - logger.debug(f'\n The analysis folder is {analysis_dir}, all the configs has been copied') - - dict_store_cs_configs={} - dict_store_cs_configs['config_path']=container_configs_under_analysis_folder - - def process_optional_input(container,file_path, analysis_dir, option=None): - if os.path.isfile(file_path): - logger.info("\n" - +f" You have choossen to pass {file_path} to {container}, it will be first copy to {analysis_dir}") - else: - logger.error("\n" - f"{file_path} does not exist") - - file_name = os.path.basename(file_path) - file_ext = os.path.splitext(file_name)[1] - - if container in ['anatrois','freesurferator']: - if file_ext in ['.nii', '.gz','.zip']: - do.copy_file(file_path, os.path.join(analysis_dir, file_name), force) - else: - raise ValueError("Unsupported file type.") - if container in ['rtp2-preproc','rtppreproc']: - if file_ext in ['.nii', '.gz']: - do.copy_file(file_path, os.path.join(analysis_dir, file_name), force) - else: - raise ValueError("Unsupported file type.") - - if container in ['rtp2-pipeline','rtp-pipeline']: - if option == "tractparams": - if file_ext in ['.csv']: - do.copy_file(file_path, os.path.join(analysis_dir, file_name), force) - else: - raise ValueError("Unsupported file type.") - if option == "fsmask": - if file_ext in ['.nii', '.gz']: - do.copy_file(file_path, os.path.join(analysis_dir, file_name), force) - else: - raise ValueError("Unsupported file type.") - if option == "qmap_zip": - if file_ext == '.zip': - do.copy_file(file_path, os.path.join(analysis_dir, file_name), force) - else: - raise ValueError("Unsupported file type.") - return file_name - - # copy annotfile or mnizip file to analysis folder - if container in ['anatrois']: - dict_store_cs_configs[container]={} - pre_fs= lc_config["container_specific"][container]["pre_fs"] - annotfile = lc_config["container_specific"][container]["annotfile"] - mniroizip = lc_config["container_specific"][container]["mniroizip"] - if pre_fs: - file_name="existingFS.zip" - dict_store_cs_configs[container]['pre_fs']=f"pre_fs/{file_name}" - if annotfile: - file_name=process_optional_input(container,annotfile,analysis_dir) - dict_store_cs_configs[container]['annotfile']=f"annotfile/{file_name}" - if mniroizip: - file_name=process_optional_input(container,mniroizip,analysis_dir) - dict_store_cs_configs[container]['mniroizip']=f"mniroizip/{file_name}" - # copy annotfile or mnizip file to analysis folder - if container in ['freesurferator']: - dict_store_cs_configs[container]={} - pre_fs= lc_config["container_specific"][container]["pre_fs"] - control_points= lc_config["container_specific"][container]["control_points"] - annotfile = lc_config["container_specific"][container]["annotfile"] - mniroizip = lc_config["container_specific"][container]["mniroizip"] - if pre_fs: - file_name="existingFS.zip" - dict_store_cs_configs[container]['pre_fs']=f"pre_fs/{file_name}" - if control_points: - file_name="control.dat" - dict_store_cs_configs[container]['control_points']=f"control_points/{file_name}" - if annotfile: - file_name=process_optional_input(container,annotfile,analysis_dir) - dict_store_cs_configs[container]['annotfile']=f"annotfile/{file_name}" - if mniroizip: - file_name=process_optional_input(container,mniroizip,analysis_dir) - dict_store_cs_configs[container]['mniroizip']=f"mniroizip/{file_name}" - # copy qmap.nii of qmap.nii.gz to analysis folder - if container in ['rtppreproc']: - preproc_json_keys=['ANAT','BVAL','BVEC', 'DIFF','FSMASK'] - preproc_json_val=['ANAT/T1.nii.gz','BVAL/dwiF.bval','BVEC/dwiF.bvec','DIFF/dwiF.nii.gz','FSMASK/brain.nii.gz'] - dict_store_cs_configs[container]= {key: value for key, value in zip(preproc_json_keys, preproc_json_val)} - rpe=lc_config["container_specific"][container]["rpe"] - if rpe: - dict_store_cs_configs[container]['RBVC']= 'RBVC/dwiR.bvec' - dict_store_cs_configs[container]['RBVL']= 'RBVL/dwiR.bval' - dict_store_cs_configs[container]['RDIF']= 'RDIF/dwiR.nii.gz' - if container in ['rtp2-preproc']: - preproc_json_keys=['ANAT','BVAL','BVEC', 'DIFF','FSMASK'] - preproc_json_val=['ANAT/T1.nii.gz','BVAL/dwiF.bval','BVEC/dwiF.bvec','DIFF/dwiF.nii.gz','FSMASK/brain.nii.gz'] - dict_store_cs_configs[container]= {key: value for key, value in zip(preproc_json_keys, preproc_json_val)} - - rpe=lc_config["container_specific"][container]["rpe"] - qmap=lc_config["container_specific"][container]["qmap_nifti"] - if rpe: - dict_store_cs_configs[container]['RBVC']= 'RBVC/dwiR.bvec' - dict_store_cs_configs[container]['RBVL']= 'RBVL/dwiR.bval' - dict_store_cs_configs[container]['RDIF']= 'RDIF/dwiR.nii.gz' - if qmap: - file_name=process_optional_input(container,qmap,analysis_dir) - dict_store_cs_configs[container]['qmap']=f"qmap/{file_name}" - - if container in ['rtp-pipeline']: - pipeline_json_keys=['anatomical','bval','bvec', 'dwi','fs'] - pipeline_json_val=['anatomical/T1.nii.gz','bval/dwi.bval','bvec/dwi.bvec','dwi/dwi.nii.gz','fs/fs.zip'] - dict_store_cs_configs[container]= {key: value for key, value in zip(pipeline_json_keys, pipeline_json_val)} - - tractparams=lc_config["container_specific"][container]["tractparams"] - if tractparams: - file_name=process_optional_input(container,tractparams,analysis_dir,"tractparams") - dict_store_cs_configs[container]['tractparams']=f"tractparams/{file_name}" - if container in ['rtp2-pipeline']: - pipeline_json_keys=['anatomical','bval','bvec', 'dwi','fs'] - pipeline_json_val=['anatomical/T1.nii.gz','bval/dwi.bval','bvec/dwi.bvec','dwi/dwi.nii.gz','fs/fs.zip'] - dict_store_cs_configs[container]= {key: value for key, value in zip(pipeline_json_keys, pipeline_json_val)} - tractparams=lc_config["container_specific"][container]["tractparams"] - fsmask=lc_config["container_specific"][container]["fsmask"] - qmap_zip=lc_config["container_specific"][container]["qmap_zip"] - if tractparams: - file_name=process_optional_input(container,tractparams,analysis_dir,"tractparams") - dict_store_cs_configs[container]['tractparams']=f"tractparams/{file_name}" - if fsmask: - file_name=process_optional_input(container,fsmask,analysis_dir,"fsmask") - dict_store_cs_configs[container]['fsmask']=f"fsmask/{file_name}" - if qmap_zip: - file_name=process_optional_input(container,qmap_zip,analysis_dir,"qmap_zip") - dict_store_cs_configs[container]['qmap_zip']=f"qmap_zip/{file_name}" - - - ############################################################################################ - ############################Do the checks################################################### - ############################################################################################ - - copies = [lc_config_under_analysis_folder, subSeslist_under_analysis_folder, container_configs_under_analysis_folder] - - all_copies_present= all(op.isfile(copy_path) for copy_path in copies) - - if all_copies_present: - pass - else: - logger.error(f'\n did NOT detect back up configs in the analysis folder, Please check then continue the run mode') - - return analysis_dir, dict_store_cs_configs - -def prepare_dwi_config_json(dict_store_cs_configs,lc_config,force): - ''' - This function is used to automatically read config.yaml and get the input file info and put them in the config.json - - ''' - - def write_json(config_json_extra, json_under_analysis_dir, force): - config_json_instance = json.load(open(json_under_analysis_dir)) - if not "input" in config_json_instance: - config_json_instance["inputs"] = config_json_extra - else: - logger.warn(f"{json_under_analysis_dir} json file already has field input, we will overwrite it if you set force to true") - if force: - config_json_instance["inputs"] = config_json_extra - else: - pass - with open(json_under_analysis_dir , "w") as outfile: - json.dump(config_json_instance, outfile, indent = 4) - - return True - - def get_config_dict(container,lc_config,dict_store_cs_configs): - - yaml_info=lc_config["container_specific"][container] - - rtp2_json_dict= dict_store_cs_configs[container] - - - if container in ["freesurferator", "anatrois"]: - config_json_extra={'anat': - {'location': { - 'path': '/flywheel/v0/input/anat/T1.nii.gz', - 'name': 'T1.nii.gz', - }, - 'base': 'file'} - } - for key in rtp2_json_dict.keys(): - if key in yaml_info.keys() and yaml_info[key]: - config_json_extra[key] = { - 'location': { - 'path': op.join('/flywheel/v0/input', rtp2_json_dict[key]), - 'name': op.basename(rtp2_json_dict[key]) - }, - 'base': 'file' - } - if 'anat' in config_json_extra.keys() and 'pre_fs' in config_json_extra.keys(): - del config_json_extra['anat'] - else: - config_json_extra={} - for key in rtp2_json_dict.keys(): - config_json_extra[key] = { - 'location': { - 'path': op.join('/flywheel/v0/input', rtp2_json_dict[key]), - 'name': op.basename(rtp2_json_dict[key]) - }, - 'base': 'file' - } - - return config_json_extra - - container = lc_config["general"]["container"] - config_json_extra=get_config_dict(container,lc_config,dict_store_cs_configs) - - json_under_analysis_dir=dict_store_cs_configs['config_path'] - - if write_json(config_json_extra, json_under_analysis_dir,force): - logger.info(f"Successfully write json for {container}") - return True - - -def prepare_dwi_input(parser_namespace, analysis_dir, lc_config, df_subSes, layout, dict_store_cs_configs): - """ - This is the major function for doing the preparation, it is doing the work - 1. write the config.json (analysis level) - 2. create symlink for input files (subject level) - - Parameters - ---------- - lc_config : TYPE - DESCRIPTION. - df_subSes : TYPE - DESCRIPTION. - - Returns - ------- - None. - - """ - logger.info("\n"+ - "#####################################################\n" - +"Preparing for DWI pipeline RTP2\n") - - - container = lc_config["general"]["container"] - force = lc_config["general"]["force"] - run_lc = parser_namespace.run_lc - force= force or run_lc - version = lc_config["container_specific"][container]["version"] - - logger.info("\n"+ - "#####################################################\n" - +f"Prepare 1, write config.json RTP2-{container}\n") - - if prepare_dwi_config_json(dict_store_cs_configs,lc_config,force): - logger.info("\n"+ - "#####################################################\n" - +f"Prepare 1, finished\n") - else: - logger.critical("\n"+ - "#####################################################\n" - +f"Prepare json not finished. Please check\n") - raise Exception("Sorry the Json file seems not being written correctly, it may cause container dysfunction") - - - logger.info("\n"+ - "#####################################################\n" - +f"Prepare 2, create the symlinks of all the input files RTP2-{container}\n") - - - for row in df_subSes.itertuples(index=True, name="Pandas"): - sub = row.sub - ses = row.ses - RUN = row.RUN - dwi = row.dwi - - logger.info(f'dwi is {dwi}') - logger.info("\n" - +"The current run is: \n" - +f"{sub}_{ses}_{container}_{version}\n") - - - if RUN == "True" and dwi == "True": - - tmpdir = op.join( - analysis_dir, - "sub-" + sub, - "ses-" + ses, - "output", "tmp" - ) - logdir = op.join( - analysis_dir, - "sub-" + sub, - "ses-" + ses, - "output", "log" - ) - - if not op.isdir(tmpdir): - os.makedirs(tmpdir) - if not op.isdir(logdir): - os.makedirs(logdir) - - do.copy_file(parser_namespace.lc_config, op.join(logdir,'lc_config.yaml'), force) - config_file_path=dict_store_cs_configs['config_path'] - do.copy_file(config_file_path, op.join(logdir,'config.json'), force) - - - if container in ["rtppreproc" ,"rtp2-preproc"]: - dwipre.rtppreproc(dict_store_cs_configs, analysis_dir, lc_config, sub, ses, layout,run_lc) - elif container in ["rtp-pipeline", "rtp2-pipeline"]: - dwipre.rtppipeline(dict_store_cs_configs, analysis_dir,lc_config, sub, ses, layout,run_lc) - elif container in ["anatrois","freesurferator"]: - dwipre.anatrois(dict_store_cs_configs, analysis_dir,lc_config,sub, ses, layout,run_lc) - else: - logger.error("\n"+ - f"***An error occurred" - +f"{container} is not created, check for typos or contact admin for singularity images\n" - ) - else: - continue - logger.info("\n"+ - "#####################################################\n") - return - diff --git a/old_lc/prepare_inputs/prepare_dwi.py b/old_lc/prepare_inputs/prepare_dwi.py deleted file mode 100755 index d5e4964..0000000 --- a/old_lc/prepare_inputs/prepare_dwi.py +++ /dev/null @@ -1,789 +0,0 @@ -""" -MIT License - -Copyright (c) 2020-2023 Garikoitz Lerma-Usabiaga -Copyright (c) 2020-2022 Mengxing Liu -Copyright (c) 2022-2024 Leandro Lecca -Copyright (c) 2022-2023 Yongning Lei -Copyright (c) 2023 David Linhardt -Copyright (c) 2023 Iñigo Tellaetxe - -Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. -""" -#%% import libraries - -import os -import os.path as op -import re -import errno -import shutil -import sys -import nibabel as nib -import json -import subprocess as sp -import zipfile -import logging - -from . import utils as do -from .utils import read_df - - -logger = logging.getLogger("Launchcontainers") - - -#%% the force version of create symlink -def force_symlink(file1, file2, force): - """Creates symlinks making sure - - Args: - file1 (str): path to the source file, which is the output of the previous container - file2 (str): path to the destination file, which is the input of the current container - force (bool): specifies if existing files will be rewritten or not. Set in the config.yaml file. - - Raises: - n (OSError): Raised if input file does not exist when trying to create a symlink between file1 and file2 - e (OSError): - e: _description_ - """ - logger.info("\n" - +"-----------------------------------------------\n") - # If force is set to False (we do not want to overwrite) - if not force: - try: - # Try the command, if the files are correct and the symlink does not exist, create one - logger.info("\n" - +f"---creating symlink for source file: {file1} and destination file: {file2}\n") - os.symlink(file1, file2) - logger.info("\n" - +f"--- force is {force}, -----------------creating success -----------------------\n") - # If raise [erron 2]: file does not exist, print the error and pass - except OSError as n: - if n.errno == 2: - logger.error("\n" - +"***An error occured \n" - +"input files are missing, please check \n") - pass - # If raise [errno 17] the symlink exist, we don't force and print that we keep the original one - elif n.errno == errno.EEXIST: - logger.warning("\n"+ - f"--- force is {force}, symlink exist, remain old \n") - else: - logger.error("\n"+ "Unknown error, break the program") - raise n - - # If we set force to True (we want to overwrite) - if force: - try: - # Try the command, if the file are correct and symlink not exist, it will create one - os.symlink(file1, file2) - logger.info("\n" - +f"--- force is {force}, symlink empty, new link created successfully\n ") - # If the symlink exists, OSError will be raised - except OSError as e: - if e.errno == errno.EEXIST: - os.remove(file2) - logger.info("\n" - +f"--- force is {force} but the symlink exists, unlinking\n ") - os.symlink(file1, file2) - logger.warning("\n" - +"--- overwriting the existing symlink") - logger.info("\n" - +"----------------- Overwrite success -----------------------\n") - elif e.errno == 2: - logger.error("\n" - +"***input files are missing, please check that they exist\n") - raise e - else: - logger.error("\n" - +"***ERROR***\n" - +"We do not know what happened\n") - raise e - logger.info("\n" - +"-----------------------------------------------\n") - return - - -#%% check if tractparam ROI was created in the anatrois fs.zip file -def check_tractparam(lc_config, sub, ses, tractparam_df): - - """Checks the correctness of the given parameters. - - Args: - lc_config (dict): _description_ - sub (str): _description_ - ses (str): _description_ - tractparam_df (pandas.DataFrame): _description_ - inherited parameters: path to the fs.zip file, defined by lc_config, sub, ses. - - Raises: - FileNotFoundError: _description_ - - Returns: - rois_are_there (bool): Whether the regions of interest (ROIs) are present or not - """ - # Define the list of required ROIs - logger.info("\n"+ - "#####################################################\n") - roi_list=[] - # Iterate over some defined roisand check if they are required or not in the config.yaml - for col in ['roi1', 'roi2', 'roi3', 'roi4',"roiexc1","roiexc2"]: - for val in tractparam_df[col][~tractparam_df[col].isna()]: - if '_AND_' in val: - multi_roi= val.split('_AND_') - roi_list.extend(multi_roi) - else: - if val != "NO": - roi_list.append(val) - - required_rois= set(roi_list) - - # Define the zip file - basedir = lc_config["general"]["basedir"] - container = lc_config["general"]["container"] - bidsdir_name= lc_config["general"]["bidsdir_name"] - precontainer_anat = lc_config["container_specific"][container]["precontainer_anat"] - anat_analysis_name = lc_config["container_specific"][container]["anat_analysis_name"] - - # Define where the fs.zip file is - fs_zip = op.join( - basedir, - bidsdir_name, - "derivatives", - f'{precontainer_anat}', - "analysis-" + anat_analysis_name, - "sub-" + sub, - "ses-" + ses, - "output", "fs.zip" - ) - - # Extract .gz files from zip file and check if they are all present - with zipfile.ZipFile(fs_zip, 'r') as zip: - zip_gz_files = set(zip.namelist()) - - # See which ROIs are present in the fs.zip file - required_gz_files = set(f"fs/ROIs/{file}.nii.gz" for file in required_rois) - logger.info("\n" - +f"---The following are the ROIs in fs.zip file: \n {zip_gz_files} \n" - +f"---there are {len(zip_gz_files)} .nii.gz files in fs.zip from anatrois output\n" - +f"---There are {len(required_gz_files)} ROIs that are required to run RTP-PIPELINE\n") - if required_gz_files.issubset(zip_gz_files): - logger.info("\n" - +"---checked! All required .gz files are present in the fs.zip \n") - else: - missing_files = required_gz_files - zip_gz_files - logger.error("\n" - +f"*****Error: \n" - +f"there are {len(missing_files)} missed in fs.zip \n" - +f"The following .gz files are missing in the zip file:\n {missing_files}") - raise FileNotFoundError("Required .gz file are missing") - - ROIs_are_there= required_gz_files.issubset(zip_gz_files) - logger.info("\n"+ - "#####################################################\n") - return ROIs_are_there - -#%% -def anatrois(dict_store_cs_configs, analysis_dir,lc_config, sub, ses, layout,run_lc): - - """anatrois function creates symbolic links for the anatrois container - - Args: - analysis_dir (_type_): directory to analyze - lc_config (dict): the lc_config dictionary from _read_config - sub (str): subject name - ses (str): session name - layout (_type_): _description_ - - Raises: - FileNotFoundError: _description_ - FileNotFoundError: _description_ - """ - - # General level variables: - basedir = lc_config["general"]["basedir"] - container = lc_config["general"]["container"] - bidsdir_name=lc_config["general"]["bidsdir_name"] - # If force is False, then we don't want to overwrite anything - # If force is true, and we didn't run_lc(in the prepare mode), we will do the overwrite and so on - # If force is true and we do run_lc, then we will never overwrite - force = (lc_config["general"]["force"]) - force = force and (not run_lc) - - # Container specific: - prefs_dir_name = lc_config["container_specific"][container]["prefs_dir_name"] - prefs_analysis_name = lc_config["container_specific"][container]["prefs_analysis_name"] - prefs_zipname = lc_config["container_specific"][container]["prefs_zipname"] - # specific for freesurferator - if container == "freesurferator": - control_points = lc_config["container_specific"][container]["control_points"] - if control_points: - prefs_unzipname = lc_config["container_specific"][container]["prefs_unzipname"] - - - # define input output folder for this container - dstDir_input = op.join( - analysis_dir, - "sub-" + sub, - "ses-" + ses, - "input", - ) - dstDir_output = op.join( - analysis_dir, - "sub-" + sub, - "ses-" + ses, - "output", - ) - if container == "freesurferator": - dstDir_work = op.join( - analysis_dir, - "sub-" + sub, - "ses-" + ses, - "work", - ) - if not op.exists(dstDir_work): - os.makedirs(dstDir_work) - - if not op.exists(dstDir_input): - os.makedirs(dstDir_input) - if not op.exists(dstDir_output): - os.makedirs(dstDir_output) - - # read json, this json is already written from previous preparasion step - json_under_analysis_dir=dict_store_cs_configs['config_path'] - config_json_instance = json.load(open(json_under_analysis_dir)) - required_inputfiles=config_json_instance['inputs'].keys() - - # 5 main filed needs to be in anatrois if all specified, so there will be 5 checks - if "anat" in required_inputfiles: - src_path_anat_lst= layout.get(subject= sub, session=ses, extension='nii.gz',suffix= 'T1w',return_type='filename') - if len(src_path_anat_lst) == 0: - raise FileNotFoundError(f'the T1w.nii.gz you are specifying for sub-{sub}_ses-{ses} does NOT exist or the folder is not BIDS format, please check') - else: - src_path_anat = src_path_anat_lst[0] - dst_fname_anat=config_json_instance['inputs']['anat']['location']['name'] - dst_path_anat=op.join(dstDir_input, "anat", dst_fname_anat) - - if not op.exists(op.join(dstDir_input, "anat")): - os.makedirs(op.join(dstDir_input, "anat")) - force_symlink(src_path_anat, dst_path_anat, force) - - # If we ran freesurfer before: - if "pre_fs" in required_inputfiles: - pre_fs_path = op.join( - basedir, - bidsdir_name, - "derivatives", - f'{prefs_dir_name}', - "analysis-" + prefs_analysis_name, - "sub-" + sub, - "ses-" + ses, - "output", - ) - logger.info("\n" - +f"---the patter of fs.zip filename we are searching is {prefs_zipname}\n" - +f"---the directory we are searching for is {pre_fs_path}") - logger.debug("\n" - +f'the tpye of patter is {type(prefs_zipname)}') - zips=[] - for filename in os.listdir(pre_fs_path): - if filename.endswith(".zip") and re.match(prefs_zipname, filename): - zips.append(filename) - if "control_points" in required_inputfiles: - if op.isdir(op.join(pre_fs_path,filename)) and re.match(prefs_unzipname, filename): - src_path_ControlPoints = op.join( - pre_fs_path, - filename, - "tmp", - "control.dat" - ) - else: - raise FileNotFoundError("Didn't found control_points .zip file") - - if len(zips) == 0: - logger.error("\n"+ - f"There are no files with pattern: {prefs_zipname} in {pre_fs_path}, we will listed potential zip file for you" - ) - raise FileNotFoundError("pre_fs_path is empty, no previous analysis was found") - elif len(zips) == 1: - src_path_fszip = op.join(pre_fs_path,zips[0]) - else: - zips_by_time = sorted(zips, key=op.getmtime) - answer = input( - f"Do you want to use the newset fs.zip: \n{zips_by_time[-1]} \n we get for you? \n input y for yes, n for no" - ) - if answer in "y": - src_path_fszip = zips_by_time[-1] - else: - logger.error("\n"+"An error occurred" - +zips_by_time +"\n" # type: ignore - +"no target preanalysis.zip file exist, please check the config_lc.yaml file") - sys.exit(1) - - dst_fname_fs=config_json_instance['inputs']['pre_fs']['location']['name'] - dst_path_fszip=op.join(dstDir_input, "pre_fs", dst_fname_fs) - if not op.exists(op.join(dstDir_input, "pre_fs")): - os.makedirs(op.join(dstDir_input, "pre_fs")) - force_symlink(src_path_fszip, dst_path_fszip, force) - - if "control_points" in required_inputfiles: - dst_fname_cp=config_json_instance['inputs']['control_points']['location']['name'] - dst_path_cp=op.join(dstDir_input, "pre_fs", dst_fname_cp) - if not op.exists(op.join(dstDir_input,"control_points")): - os.makedirs(op.join(dstDir_input,"control_points")) - force_symlink(src_path_ControlPoints, dst_path_cp, force) - - if "annotfile" in required_inputfiles: - - fname_annot=config_json_instance['inputs']['annotfile']['location']['name'] - src_path_annot = op.join(analysis_dir, fname_annot) - dst_path_annot=op.join(dstDir_input, "annotfile", fname_annot) - - if not op.exists(op.join(dstDir_input, "annotfile")): - os.makedirs(op.join(dstDir_input, "annotfile")) - force_symlink(src_path_annot, dst_path_annot, force) - - if "mniroizip" in required_inputfiles: - - fname_mniroi=config_json_instance['inputs']['mniroizip']['location']['name'] - src_path_mniroi = op.join(analysis_dir, fname_mniroi) - dst_path_mniroi=op.join(dstDir_input, "mniroizip", fname_mniroi) - - if not op.exists(op.join(dstDir_input, "mniroizip")): - os.makedirs(op.join(dstDir_input, "mniroizip")) - force_symlink(src_path_mniroi, dst_path_mniroi, force) - - - logger.info("\n" - +"-----------------The symlink created-----------------------\n") - - return - - -#%% -def rtppreproc(dict_store_cs_configs, analysis_dir, lc_config, sub, ses, layout, run_lc): - """ - Parameters - ---------- - parser_namespace: parser obj - it contains all the input argument in the parser - - lc_config : dict - the lc_config dictionary from _read_config - sub : str - the subject name looping from df_subSes - ses : str - the session name looping from df_subSes. - - Returns - ------- - none, create symbolic links - - """ - - # general level variables: - basedir = lc_config["general"]["basedir"] - container = lc_config["general"]["container"] - bidsdir_name=lc_config["general"]["bidsdir_name"] - force = (lc_config["general"]["force"]) - # if force is False, then we don't want to overwrite anything - # if force is true, and we didn't run_lc(in the prepare mode), we will do the overwrite and so on - # if force is true and we do run_lc, then we will never overwrite - force=force and (not run_lc) - # container specific: - precontainer_anat = lc_config["container_specific"][container]["precontainer_anat"] - anat_analysis_name = lc_config["container_specific"][container]["anat_analysis_name"] - - rpe = lc_config["container_specific"][container]["rpe"] - multishell=lc_config["container_specific"][container]["multishell"] - - # define input output folder for this container - dstDir_input = op.join( - analysis_dir, - "sub-" + sub, - "ses-" + ses, - "input", - ) - dstDir_output = op.join( - analysis_dir, - "sub-" + sub, - "ses-" + ses, - "output", - ) - - if not op.exists(dstDir_input): - os.makedirs(dstDir_input) - if not op.exists(dstDir_output): - os.makedirs(dstDir_output) - - # read json, this json is already written from previous preparasion step - json_under_analysis_dir=dict_store_cs_configs['config_path'] - config_json_instance = json.load(open(json_under_analysis_dir)) - required_inputfiles=config_json_instance['inputs'].keys() - - config_json_data = json.load(open(json_under_analysis_dir)) - if container == "rtp2-preproc": - PE_direction = config_json_data["config"]["pe_dir"] - if container == "rtppreproc": - PE_direction = config_json_data["config"]["acqd"] - - precontainer_anat_dir = op.join( - basedir, - bidsdir_name, - "derivatives", - f'{precontainer_anat}', - "analysis-" + anat_analysis_name, - "sub-" + sub, - "ses-" + ses, - "output", - ) - # there are 8 fieids in the rtppreproc, and 9 fields in rtp2-preproc(qmap), so we will loop for the - # required_inputfiles to prepare them - # required: ANAT BVAL BVEC DIFF FSMASK - # optional for rtppreproc RBVL RBVC RDIF - # optional for rtp2-preproc extra: qmap - - # prepare the required filed - # the previous container anatrois/freesurferator analysis - # ANAT - # T1 file in anatrois output - src_path_ANAT = op.join(precontainer_anat_dir, "T1.nii.gz") - # FSMASK - # brain mask file in anatrois output - if int(precontainer_anat.split('.')[1])<6: - src_path_FSMASK = op.join(precontainer_anat_dir, "brainmask.nii.gz") - if int(precontainer_anat.split('.')[1])>5: - src_path_FSMASK = op.join(precontainer_anat_dir, "brain.nii.gz") - # 3 dwi file that needs to be preprocessed, under BIDS/sub/ses/dwi - if not multishell: - # the bval - src_path_BVAL = layout.get(subject= sub, session=ses, extension='bval',suffix= 'dwi', direction=PE_direction, return_type='filename')[0] - # the bve - src_path_BVEC =layout.get(subject= sub, session=ses, extension='bvec',suffix= 'dwi',direction=PE_direction, return_type='filename')[0] - # the dwi - src_path_DIFF = layout.get(subject= sub, session=ses, extension='nii.gz',suffix= 'dwi', direction=PE_direction, return_type='filename')[0] - - else: - # check how many *dir_dwi.nii.gz there are in the BIDS/sub/ses/dwi directory - diff_files = layout.get(subject= sub, session=ses, extension='nii.gz',suffix= 'dwi', direction=PE_direction, return_type='filename') - dwi_acq = [f for f in diff_files if 'acq-' in f] - # create the file name, it will be a file after concat - target_dwi_concat=re.sub(r'acq-[^_]+', '', diff_files[0]) - src_path_DIFF=target_dwi_concat - bval_files = layout.get(subject= sub, session=ses, extension='bval',suffix= 'dwi', direction=PE_direction, return_type='filename') - bvec_files = layout.get(subject= sub, session=ses, extension='bvec',suffix= 'dwi', direction=PE_direction, return_type='filename') - target_bvec=re.sub(r'acq-[^_]+', '', bvec_files[0]) - target_bval=re.sub(r'acq-[^_]+', '', bval_files[0]) - src_path_BVEC=target_bvec - src_path_BVAL=target_bval - if len(dwi_acq) == 0: - logger.error("\n" - +f"No files with different acq- to concatenate.\n") - raise FileNotFoundError("Didn't found the multi shell DWI, check your bids naming of acq- field") - elif len(dwi_acq) == 1: - logger.error("\n" - +f"Found only {dwi_acq[0]} to concatenate. There must be at least two files with different acq.\n") - raise FileNotFoundError("Didn't found 2 multi shell DWI, only found 1") - elif len(dwi_acq) > 1: - if not op.isfile(target_dwi_concat): - logger.info("\n" - +f"Concatenating with mrcat of mrtrix3 these files: {dwi_acq} in: {target_dwi_concat} \n") - dwi_acq.sort() - sp.run(['mrcat',*dwi_acq,target_dwi_concat]) - src_path_DIFF=target_dwi_concat - # also get the bvecs and bvals - bvals_acq = [f for f in bval_files if 'acq-' in f] - bvecs_acq = [f for f in bvec_files if 'acq-' in f] - if len(dwi_acq) == len(bvals_acq) and not os.path.isfile(target_bval): - bvals_acq.sort() - bval_cmd = "paste -d ' '" - for bvalF in bvals_acq: - bval_cmd = bval_cmd+" "+bvalF - bval_cmd = bval_cmd+" > "+target_bval - sp.run(bval_cmd,shell=True) - src_path_BVAL=target_bval - else: - logger.error("\n" - +"Missing bval files") - if len(dwi_acq) == len(bvecs_acq) and not os.path.isfile(target_bvec): - bvecs_acq.sort() - bvec_cmd = "paste -d ' '" - for bvecF in bvecs_acq: - bvec_cmd = bvec_cmd+" "+bvecF - bvec_cmd = bvec_cmd+" > "+target_bvec - sp.run(bvec_cmd,shell=True) - src_path_BVEC=target_bvec - else: - logger.error("\n" - +"Missing bvec files") - - elif len(diff_files) == 0: - logger.error("DIFF file for rtppreproc/rtp2-preproc not found") - raise FileNotFoundError("No DIFF in the BIDS folder, check your configs") - else: - raise FileExistsError("You have multiple multi-shell DWI files under sub-{sub}/ses-{ses}, \ - don't know which one to use, please prepare your BIDS folder and run again") - # destination directory under dstDir_input - if not op.exists(op.join(dstDir_input, "ANAT")): - os.makedirs(op.join(dstDir_input, "ANAT")) - if not op.exists(op.join(dstDir_input, "FSMASK")): - os.makedirs(op.join(dstDir_input, "FSMASK")) - if not op.exists(op.join(dstDir_input, "DIFF")): - os.makedirs(op.join(dstDir_input, "DIFF")) - if not op.exists(op.join(dstDir_input, "BVAL")): - os.makedirs(op.join(dstDir_input, "BVAL")) - if not op.exists(op.join(dstDir_input, "BVEC")): - os.makedirs(op.join(dstDir_input, "BVEC")) - # Create the destination paths - dst_path_ANAT = op.join(dstDir_input, "ANAT", "T1.nii.gz") - dst_path_FSMASK = op.join(dstDir_input, "FSMASK", "brainmask.nii.gz") - dst_path_DIFF = op.join(dstDir_input, "DIFF", "dwiF.nii.gz") - dst_path_BVAL = op.join(dstDir_input, "BVAL", "dwiF.bval") - dst_path_BVEC = op.join(dstDir_input, "BVEC", "dwiF.bvec") - # Create the symbolic links - force_symlink(src_path_ANAT, dst_path_ANAT, force) - force_symlink(src_path_FSMASK, dst_path_FSMASK, force) - force_symlink(src_path_DIFF, dst_path_DIFF, force) - force_symlink(src_path_BVAL, dst_path_BVAL, force) - force_symlink(src_path_BVEC, dst_path_BVEC, force) - logger.info("\n" - +"-----------------The rtppreproc symlinks created\n") - # check_create_bvec_bval(force) one of the todo here - if rpe: - if PE_direction == "PA": - rpe_dir = "AP" - elif PE_direction == "AP": - rpe_dir = "PA" - # the reverse direction nii.gz - src_path_RDIF = layout.get(subject= sub, session=ses, extension='nii.gz',suffix= 'dwi', direction=rpe_dir, return_type='filename')[0] - - # the reverse direction bval - src_path_RBVL_lst= layout.get(subject= sub, session=ses, extension='bval',suffix= 'dwi', direction=rpe_dir, return_type='filename') - - if len(src_path_RBVL_lst)==0: - src_path_RBVL = src_path_RDIF.replace("dwi.nii.gz", "dwi.bval") - logger.warning(f"\n the bval Reverse file are not find by BIDS, create empty file !!!") - else: - src_path_RBVL = layout.get(subject= sub, session=ses, extension='bval',suffix= 'dwi', direction=rpe_dir, return_type='filename')[0] - - # the reverse direction bvec - src_path_RBVC_lst= layout.get(subject= sub, session=ses, extension='bvec',suffix= 'dwi', direction=rpe_dir, return_type='filename') - if len(src_path_RBVC_lst)==0: - src_path_RBVC = src_path_RDIF.replace("dwi.nii.gz", "dwi.bvec") - logger.warning(f"\n the bvec Reverse file are not find by BIDS, create empty file !!!") - else: - src_path_RBVC =layout.get(subject= sub, session=ses, extension='bvec',suffix= 'dwi', direction=rpe_dir, return_type='filename')[0] - - # If bval and bvec do not exist because it is only b0-s, create them - # (it would be better if dcm2niix would output them but...) - # build the img matrix according to the shape of nii.gz - img = nib.load(src_path_RDIF) # type: ignore - volumes = img.shape[3] # type: ignore - # if one of the bvec and bval are not there, re-write them - if (not op.isfile(src_path_RBVL)) or (not op.isfile(src_path_RBVC)): - # Write bval file - f = open(src_path_RBVL, "x") - f.write(volumes * "0 ") - f.close() - logger.warning(f"\n Finish writing the bval Reverse file with all 0 !!!") - # Write bvec file - f = open(src_path_RBVC, "x") - f.write(volumes * "0 ") - f.write("\n") - f.write(volumes * "0 ") - f.write("\n") - f.write(volumes * "0 ") - f.write("\n") - f.close() - logger.warning(f"\n Finish writing the bvec Reverse file with all 0 !!!") - - - if not op.exists(op.join(dstDir_input, "RDIF")): - os.makedirs(op.join(dstDir_input, "RDIF")) - if not op.exists(op.join(dstDir_input, "RBVL")): - os.makedirs(op.join(dstDir_input, "RBVL")) - if not op.exists(op.join(dstDir_input, "RBVC")): - os.makedirs(op.join(dstDir_input, "RBVC")) - - dst_path_RDIF = op.join(dstDir_input, "RDIF", "dwiR.nii.gz") - dst_path_RBVL = op.join(dstDir_input, "RBVL", "dwiR.bval") - dst_path_RBVC = op.join(dstDir_input, "RBVC", "dwiR.bvec") - - force_symlink(src_path_RDIF, dst_path_RDIF, force) - force_symlink(src_path_RBVL, dst_path_RBVL, force) - force_symlink(src_path_RBVC, dst_path_RBVC, force) - logger.info("\n" - +"---------------The rtppreproc rpe=True symlinks created") - - if "qmap" in required_inputfiles: - - fname_qmap=config_json_instance['inputs']['qmap']['location']['name'] - src_path_qmap = op.join(analysis_dir, fname_qmap) - dst_path_qmap=op.join(dstDir_input, "qmap", fname_qmap) - - if not op.exists(op.join(dstDir_input, "qmap")): - os.makedirs(op.join(dstDir_input, "qmap")) - force_symlink(src_path_qmap, dst_path_qmap, force) - return - - - -#%% -def rtppipeline(dict_store_cs_configs, analysis_dir,lc_config, sub, ses, layout, run_lc): - """""" - - """ - Parameters - ---------- - lc_config : dict - the lc_config dictionary from _read_config - sub : str - the subject name looping from df_subSes - ses : str - the session name looping from df_subSes. - container_specific_config_path : str - - Returns - ------- - none, create symbolic links - - """ - # define local variables from config dict - # input from get_parser - # general level variables: - basedir = lc_config["general"]["basedir"] - container = lc_config["general"]["container"] - bidsdir_name = lc_config["general"]["bidsdir_name"] - force = (lc_config["general"]["force"]) - force = force and (not run_lc) - - # rtppipeline specefic variables - precontainer_anat = lc_config["container_specific"][container]["precontainer_anat"] - anat_analysis_name = lc_config["container_specific"][container]["anat_analysis_name"] - precontainer_preproc = lc_config["container_specific"][container]["precontainer_preproc"] - preproc_analysis_num = lc_config["container_specific"][container]["preproc_analysis_name"] - - # Create input and output directory for this container, - # the dstDir_output should be empty, the dstDir_input should contains all the symlinks - dstDir_input = op.join( - analysis_dir, - "sub-" + sub, - "ses-" + ses, - "input", - ) - dstDir_output = op.join( - analysis_dir, - "sub-" + sub, - "ses-" + ses, - "output", - ) - - if not op.exists(dstDir_input): - os.makedirs(dstDir_input) - if not op.exists(dstDir_output): - os.makedirs(dstDir_output) - - # read json, this json is already written from previous preparasion step - json_under_analysis_dir=dict_store_cs_configs['config_path'] - config_json_instance = json.load(open(json_under_analysis_dir)) - required_inputfiles=config_json_instance['inputs'].keys() - - # required fields are: - # anatomical bval bvec dwi fs - # optional fields are : - # tractparams fsmask qmap_zip - # things from anatrois/freesurferator: - # anatomical - # fs - # The source directory - src_dir_fs = op.join( - basedir, - bidsdir_name, - "derivatives", - f'{precontainer_anat}', - "analysis-" + anat_analysis_name, - "sub-" + sub, - "ses-" + ses, - "output", - ) - src_path_fszip = op.join(src_dir_fs, "fs.zip") - - src_dir_preproc = op.join( - basedir, - bidsdir_name, - "derivatives", - precontainer_preproc, - "analysis-" + preproc_analysis_num, - "sub-" + sub, - "ses-" + ses, - "output", - ) - - - # The source file - src_path_anat = op.join(src_dir_preproc, "t1.nii.gz") - src_path_bval = op.join(src_dir_preproc, "dwi.bvals") - src_path_bvec = op.join(src_dir_preproc, "dwi.bvecs") - src_path_dwi = op.join(src_dir_preproc, "dwi.nii.gz") - - if not op.exists(op.join(dstDir_input, "anatomical")): - os.makedirs(op.join(dstDir_input, "anatomical")) - if not op.exists(op.join(dstDir_input, "fs")): - os.makedirs(op.join(dstDir_input, "fs")) - if not op.exists(op.join(dstDir_input, "dwi")): - os.makedirs(op.join(dstDir_input, "dwi")) - if not op.exists(op.join(dstDir_input, "bval")): - os.makedirs(op.join(dstDir_input, "bval")) - if not op.exists(op.join(dstDir_input, "bvec")): - os.makedirs(op.join(dstDir_input, "bvec")) - - - # Create the destination file - dst_path_anat = op.join(dstDir_input, "anatomical", "T1.nii.gz") - dst_path_fszip = op.join(dstDir_input, "fs", "fs.zip") - dst_path_dwi = op.join(dstDir_input, "dwi", "dwi.nii.gz") - dst_path_bval = op.join(dstDir_input, "bval", "dwi.bval") - dst_path_bvec = op.join(dstDir_input, "bvec", "dwi.bvec") - - force_symlink(src_path_anat, dst_path_anat, force) - force_symlink(src_path_fszip, dst_path_fszip, force) - force_symlink(src_path_dwi, dst_path_dwi, force) - force_symlink(src_path_bvec, dst_path_bvec, force) - force_symlink(src_path_bval, dst_path_bval, force) - - logger.info("\n" - +"-----------------The required rtp2-pipeline symlinks created\n") - if "tractparams" in required_inputfiles: - fname_tractparams=config_json_instance['inputs']['tractparams']['location']['name'] - src_path_tractparams=op.join(analysis_dir, fname_tractparams) - dst_path_tractparams = op.join(dstDir_input, "tractparams", "tractparams.csv") - # the tractparams check, at the analysis folder - tractparam_df,_ =read_df(src_path_tractparams) - check_tractparam(lc_config, sub, ses, tractparam_df) - if not op.exists(op.join(dstDir_input, "tractparams")): - os.makedirs(op.join(dstDir_input, "tractparams")) - # Create the symbolic links - force_symlink(src_path_tractparams, dst_path_tractparams, force) - - if "fsmask" in required_inputfiles: - - fname_fsmask=config_json_instance['inputs']['fsmask']['location']['name'] - src_path_fsmask = op.join(analysis_dir, fname_fsmask) - dst_path_fsmask=op.join(dstDir_input, "fsmask", fname_fsmask) - - if not op.exists(op.join(dstDir_input, "fsmask")): - os.makedirs(op.join(dstDir_input, "fsmask")) - force_symlink(src_path_fsmask, dst_path_fsmask, force) - if "qmap_zip" in required_inputfiles: - - fname_qmap_zip=config_json_instance['inputs']['qmap_zip']['location']['name'] - src_path_qmap_zip = op.join(analysis_dir, fname_qmap_zip) - dst_path_qmap_zip=op.join(dstDir_input, "qmap_zip", fname_qmap_zip) - - if not op.exists(op.join(dstDir_input, "qmap_zip")): - os.makedirs(op.join(dstDir_input, "qmap_zip")) - force_symlink(src_path_qmap_zip, dst_path_qmap_zip, force) - - return - diff --git a/old_lc/prepare_inputs/prepare_prf.py b/old_lc/prepare_inputs/prepare_prf.py deleted file mode 100755 index 8578852..0000000 --- a/old_lc/prepare_inputs/prepare_prf.py +++ /dev/null @@ -1,10 +0,0 @@ -""" -MIT License - - -Copyright (c) 2022-2023 Yongning Lei - -Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. -""" \ No newline at end of file diff --git a/old_lc/prepare_inputs/utils.py b/old_lc/prepare_inputs/utils.py deleted file mode 100755 index 5f369f9..0000000 --- a/old_lc/prepare_inputs/utils.py +++ /dev/null @@ -1,333 +0,0 @@ -""" -MIT License - -Copyright (c) 2020-2023 Garikoitz Lerma-Usabiaga -Copyright (c) 2020-2022 Mengxing Liu -Copyright (c) 2022-2024 Leandro Lecca -Copyright (c) 2022-2023 Yongning Lei -Copyright (c) 2023 David Linhardt -Copyright (c) 2023 Iñigo Tellaetxe - -Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: - -The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. -""" -import requests -import argparse -from argparse import RawDescriptionHelpFormatter -import yaml -from yaml.loader import SafeLoader -import logging -import os -import shutil -import sys -import pandas as pd -import os.path as op -from os import makedirs -try: - from importlib.metadata import version, PackageNotFoundError -except ImportError: # For Python < 3.8 - from pkg_resources import get_distribution, DistributionNotFound - - def version(package_name): - try: - return get_distribution(package_name).version - except DistributionNotFound: - return None - -logger = logging.getLogger("Launchcontainers") - - -def die(*args): - logger.error(*args) - sys.exit(1) - - -def get_parser(): - """ - Input: - Parse command line inputs - - Returns: - a dict stores information about the cmd input - - """ - parser = argparse.ArgumentParser( - description=""" - This python program helps you analysis MRI data through different containers, - Before you make use of this program, please prepare the environment, edit the required config files, to match your analysis demand. \n - SAMPLE CMD LINE COMMAND \n\n - ###########STEP1############# \n - To begin the analysis, you need to first prepare and check the input files by typing this command in your bash prompt: - python path/to/the/launchcontianer.py -lcc path/to/launchcontainer_config.yaml -ssl path/to/subject_session_info.txt - -cc path/to/container_specific_config.json \n - ##--cc note, for the case of rtp-pipeline, you need to input two paths, one for config.json and one for tractparm.csv \n\n - ###########STEP2############# \n - After you have done step 1, all the config files are copied to BIDS/sub/ses/analysis/ directory - When you are confident everything is there, press up arrow to recall the command in STEP 1, and just add --run_lc after it. \n\n - - We add lots of check in the script to avoid program breakdowns. if you found new bugs while running, do not hesitate to contact us""", - formatter_class=RawDescriptionHelpFormatter, - ) - - parser.add_argument( - "-lcc", - "--lc_config", - type=str, - # default="", - help="path to the config file", - ) - parser.add_argument( - "-ssl", - "--sub_ses_list", - type=str, - # default="", - help="path to the subSesList", - ) - parser.add_argument( - "-cc", - "--container_specific_config", - type=str, - # default=["/export/home/tlei/tlei/PROJDATA/TESTDATA_LC/Testing_02/BIDS/config.json"], - help="path to the container specific config file, it stores the parameters for the container." - ) - parser.add_argument( - '--download_configs', - type=str, - help='Path to download the configs') - parser.add_argument( - "--run_lc", - action="store_true", - help="if you type --run_lc, the entire program will be launched, jobs will be send to \ - cluster and launch the corresponding container you suggest in config_lc.yaml. \ - We suggest that the first time you run launchcontainer.py, leave this argument empty. \ - then the launchcontainer.py will prepare \ - all the input files for you and print the command you want to send to container, after you \ - check all the configurations are correct and ready, you type --run_lc to make it run", - ) - - # parser.add_argument( - # "--quite", - # action="store_true", - # help="if you want to open quite mode, type --quite, then it will print you only the warning level ", - # ) - parser.add_argument( - "--verbose", - action="store_true", - help="if you want to open verbose mode, type --verbose, the the level will be info", - ) - parser.add_argument( - "--debug", - action="store_true", - help="if you want to find out what is happening of particular step, --type debug, this will print you more detailed information", - ) - if len(sys.argv) == 1: - parser.print_help(sys.stderr) - sys.exit(1) - - parse_dict = vars(parser.parse_args()) - parse_namespace = parser.parse_args() - - return parse_namespace, parse_dict - - -def read_yaml(path_to_config_file): - """ - Input: - the path to the config file - - Returns - a dictionary that contains all the config info - - """ - with open(path_to_config_file, "r") as v: - config = yaml.load(v, Loader=SafeLoader) - - """ container = config["general"]["container"] - host = config["general"]["host"] - njobs = config["host_options"][host]["njobs"] - if njobs == "" or njobs is None: - njobs = 2 - host_str = f"{host}" - if host == "local": - launch_mode = config["host_options"]["local"]["launch_mode"] - valid_options = ["serial", "parallel","dask_worker"] - if launch_mode in valid_options: - host_str = ( - f"{host_str}, and commands will be launched in {launch_mode} mode " - f"every {njobs} jobs. " - f"Serial is safe but it will take longer. " - f"If you launch in parallel be aware that some of the " - f"processes might be killed if the limit (usually memory) " - f"of the machine is reached. " - ) - else: - die( - f"local:launch_mode {launch_mode} was passed, valid options are {valid_options}" - ) - - logger.warning( - "\n" - + "#####################################################\n" - + f"Successfully read the config file {path_to_config_file} \n" - + f'Basedir is: {config["general"]["basedir"]} \n' - + f'Container is: {container}_{config["container_specific"][container]["version"]} \n' - + f"Host is: {host_str} \n" - + f'analysis folder is: {config["general"]["analysis_name"]} \n' - + f"##################################################### \n" - ) - """ - return config - - -def read_df(path_to_df_file): - """ - Input: - path to the subject and session list txt file - - Returns - a dataframe - - """ - outputdf = pd.read_csv(path_to_df_file, sep=",", dtype=str) - try: - num_of_true_run = len(outputdf.loc[outputdf['RUN']=="True"]) - except: - num_of_true_run=None - logger.warn(f"The df you are reading is not subseslist") - """ # Print the result - logger.info( - "\n" - + "#####################################################\n" - + f"The dataframe{path_to_df_file} is successfully read\n" - + f"The DataFrame has {num_rows} rows \n" - + "#####################################################\n" - ) - """ - return outputdf,num_of_true_run - -def setup_logger(print_command_only, verbose=False, debug=False, log_dir=None, log_filename=None): - ''' - stream_handler_level: str, optional - if no input, it will be default at INFO level, this will be the setting for the command line logging - - verbose: bool, optional - debug: bool, optional - log_dir: str, optional - if no input, there will have nothing to be saved in log file but only the command line output - - log_filename: str, optional - the name of your log_file. - - ''' - # set up the lowest level for the logger first, so that all the info will be get - logger.setLevel(logging.DEBUG) - - - # set up formatter and handler so that the logging info can go to stream or log files - # with specific format - log_formatter = logging.Formatter( - "%(asctime)s (%(name)s):[%(levelname)s] %(module)s - %(funcName)s() - line:%(lineno)d $ %(message)s ", - datefmt="%Y-%m-%d %H:%M:%S", - ) - - stream_formatter = logging.Formatter( - "(%(name)s):[%(levelname)s] %(module)s:%(funcName)s:%(lineno)d %(message)s" - ) - # Define handler and formatter - stream_handler = logging.StreamHandler() - stream_handler.setFormatter(stream_formatter) - if verbose: - stream_handler.setLevel(logging.INFO) - elif print_command_only: - stream_handler.setLevel(logging.CRITICAL) - elif debug: - stream_handler.setLevel(logging.DEBUG) - else: - stream_handler.setLevel(logging.WARNING) - logger.addHandler(stream_handler) - - if log_dir: - if not os.path.isdir(log_dir): - makedirs(log_dir) - - - file_handler_info = ( - logging.FileHandler(op.join(log_dir, f'{log_filename}_info.log'), mode='a') - ) - file_handler_error = ( - logging.FileHandler(op.join(log_dir, f'{log_filename}_error.log'), mode='a') - ) - file_handler_info.setFormatter(log_formatter) - file_handler_error.setFormatter(log_formatter) - - file_handler_info.setLevel(logging.INFO) - file_handler_error.setLevel(logging.ERROR) - logger.addHandler(file_handler_info) - logger.addHandler(file_handler_error) - - - return logger -# %% generic function shared in the program -def copy_file(src_file, dst_file, force): - logger.info("\n" + "#####################################################\n") - if not os.path.isfile(src_file): - logger.error(" An error occurred") - raise FileExistsError("the source file is not here") - - logger.info("\n" + f"---start copying {src_file} to {dst_file} \n") - try: - if ((not os.path.isfile(dst_file)) or (force)) or ( - os.path.isfile(dst_file) and force - ): - shutil.copy(src_file, dst_file) - logger.info( - "\n" - + f"---{src_file} has been successfully copied to {os.path.dirname(src_file)} directory \n" - + f"---REMEMBER TO CHECK/EDIT TO HAVE THE CORRECT PARAMETERS IN THE FILE\n" - ) - elif os.path.isfile(dst_file) and not force: - logger.warning( - "\n" + f"---copy are not operating, the {src_file} already exist" - ) - - # If source and destination are same - except shutil.SameFileError: - logger.error("***Source and destination represents the same file.\n") - raise - # If there is any permission issue - except PermissionError: - logger.error("***Permission denied.\n") - raise - # For other errors - except: - logger.error("***Error occurred while copying file\n") - raise - logger.info("\n" + "#####################################################\n") - - return dst_file -def get_launchcontainers_version(): - try: - from importlib.metadata import version - except ImportError: # For Python < 3.8 - from pkg_resources import get_distribution as version - - try: - return version('launchcontainers') - except Exception as e: - logger.error(f"Error getting launchcontainers version: {e}") - return None -def get_mocked_launchcontainers_version(): - # Specify the version you want to mock for testing purposes - return "0.4.0" -def download_configs(version, download_path): - github_url = f"https://github.com/garikoitz/launchcontainers/raw/main/example_configs/{version}/example_config.yaml" #https://github.com/garikoitz/launchcontainers/tree/master/example_configs/0.3.0 - 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