コード例 #1
0
ファイル: source_test.py プロジェクト: rraadd88/kipoi
def test_model(model_name, source_name, env_name, batch_size, vep=False):
    """kipoi test ...

    Args:
      model_name (str)
      source_name: source name
    """
    if env_exists(env_name):
        logger.info("Environment {0} exists. Removing it.".format(env_name))
        remove_env(env_name)

    # TODO - if the model is a Keras model, print the Keras config file
    # and note which config file got used

    # create the model test environment
    cmd = "kipoi"
    args = ["env", "create",
            "--source", source_name,
            "--env", env_name,
            model_name]
    if vep:
        # Add --vep to environment installation
        args.insert(-1, "--vep")
    returncode = _call_command(cmd, args, use_stdout=True)
    assert returncode == 0

    # run the tests in the environment
    cmd = get_kipoi_bin(env_name)
    args = ["test",
            "--batch_size", str(batch_size),
            "--source", source_name,
            model_name]
    # New, modified path for conda. Source activate namely does the following:
    # - CONDA_DEFAULT_ENV=${env_name}
    # - CONDA_PREFIX=${env_path}
    # - PATH=$conda_bin:$PATH
    new_env = os.environ.copy()
    new_env['PATH'] = os.path.dirname(cmd) + os.pathsep + new_env['PATH']
    returncode, logs = _call_command(cmd, args, use_stdout=True,
                                     return_logs_with_stdout=True,
                                     env=new_env
                                     )
    assert returncode == 0

    # detect WARNING in the output log
    warn = 0
    for line in logs:
        warn_start = escape_codes[default_log_colors['WARNING']] + \
            'WARNING' + escape_codes['reset']
        if line.startswith(warn_start):
            logger.error("Warning present: {0}".format(line))
            warn += 1
    if warn > 0:
        raise ValueError("{0} warnings were observed for model {1}".
                         format(warn, model_name))
コード例 #2
0
def test_model(model_name, source_name, env_name, batch_size):
    """kipoi test ...

    Args:
      model_name (str)
      source_name: source name
    """
    if env_exists(env_name):
        logger.info("Environment {0} exists. Removing it.".format(env_name))
        remove_env(env_name)

    # TODO - if the model is a Keras model, print the Keras config file
    # and note which config file got used

    # create the model test environment
    cmd = "kipoi"
    args = ["env", "create",
            "--source", source_name,
            "--env", env_name,
            model_name]
    returncode = _call_command(cmd, args, use_stdout=True)
    assert returncode == 0

    # run the tests in the environment
    cmd = get_kipoi_bin(env_name)
    args = ["test",
            "--batch_size", str(batch_size),
            "--source", source_name,
            model_name]
    returncode, logs = _call_command(cmd, args, use_stdout=True,
                                     return_logs_with_stdout=True)
    assert returncode == 0

    # detect WARNING in the output log
    warn = 0
    for line in logs:
        warn_start = escape_codes[default_log_colors['WARNING']] + \
            'WARNING' + escape_codes['reset']
        if line.startswith(warn_start):
            logger.error("Warning present: {0}".format(line))
            warn += 1
    if warn > 0:
        raise ValueError("{0} warnings were observed for model {1}".
                         format(warn, model_name))
コード例 #3
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def test_model(model_name,
               source_name,
               env_name,
               batch_size,
               vep=False,
               create_env=True):
    """kipoi test ...

    Args:
      model_name (str)
      source_name: source name
    """
    if create_env:
        create_model_env(model_name, source_name, env_name, vep)

    # run the tests in the environment
    cmd = get_kipoi_bin(env_name)
    args = [
        "test", "--batch_size",
        str(batch_size), "--source", source_name, model_name
    ]
    # New, modified path for conda. Source activate namely does the following:
    # - CONDA_DEFAULT_ENV=${env_name}
    # - CONDA_PREFIX=${env_path}
    # - PATH=$conda_bin:$PATH
    new_env = os.environ.copy()
    new_env['PATH'] = os.path.dirname(cmd) + os.pathsep + new_env['PATH']
    returncode, logs = _call_command(cmd,
                                     args,
                                     use_stdout=True,
                                     return_logs_with_stdout=True,
                                     env=new_env)
    assert returncode == 0

    # detect WARNING in the output log
    warn = 0
    for line in logs:
        warn_start = escape_codes[default_log_colors['WARNING']] + \
            'WARNING' + escape_codes['reset']
        if line.startswith(warn_start):
            logger.error("Warning present: {0}".format(line))
            warn += 1
    if warn > 0:
        raise ValueError("{0} warnings were observed for model {1}".format(
            warn, model_name))
コード例 #4
0
ファイル: source_test.py プロジェクト: rraadd88/kipoi
def modified_files(git_range, source_folder, relative=True):
    """
    Returns files under the models dir that have been modified within the git
    range. Filenames are returned with the `source_folder` included.

    Args:
      git_range : list or tuple of length 1 or 2
          For example, ['00232ffe', '10fab113'], or commonly ['master', 'HEAD']
          or ['master']. If length 2, then the commits are provided to `git diff`
          using the triple-dot syntax, `commit1...commit2`. If length 1, the
          comparison is any changes in the working tree relative to the commit.
      source_folder : str
          Root of the model source/git repo
      relative=True: return the relative path
    """
    assert isinstance(git_range, list)
    cmds = ['diff', '--name-only'] + git_range

    with cd(source_folder):
        code, lines = _call_command("git", cmds, use_stdout=True,
                                    return_logs_with_stdout=True)

    assert code == 0
    modified = [os.path.join(source_folder, line)
                for line in lines]

    # exclude files that were deleted in the git-range
    existing = list(filter(os.path.exists, modified))

    # if the only diff is that files were deleted, we can have ['model/'], so
    # filter on existing *files*
    existing = list(filter(os.path.isfile, existing))
    if relative:
        return [os.path.relpath(f, source_folder)
                for f in existing]
    else:
        return existing
コード例 #5
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def create_model_env(model_name, source_name, env_name, vep=False):
    """kipoi test ...

    Args:
      model_name (str)
      source_name: source name
    """
    if env_exists(env_name):
        logger.info("Environment {0} exists. Removing it.".format(env_name))
        remove_env(env_name)

    # TODO - if the model is a Keras model, print the Keras config file
    # and note which config file got used

    # create the model test environment
    cmd = "kipoi"
    args = [
        "env", "create", "--source", source_name, "--env", env_name, model_name
    ]
    if vep:
        # Add --vep to environment installation
        args.insert(-1, "--vep")
    returncode = _call_command(cmd, args, use_stdout=True)
    assert returncode == 0
コード例 #6
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def singularity_command(kipoi_cmd,
                        model,
                        dataloader_kwargs,
                        output_files=[],
                        source='kipoi',
                        dry_run=False):

    remote_path = container_remote_url(source)
    local_path = container_local_path(remote_path)
    singularity_pull(remote_path, local_path)

    assert kipoi_cmd[0] == 'kipoi'

    # remove all spaces within each command
    kipoi_cmd = [
        x.replace(" ", "").replace("\n", "").replace("\t", "")
        for x in kipoi_cmd
    ]

    # figure out the right environment name
    stdout, stderr = _call_command(
        'singularity', ['exec', local_path, 'kipoi', 'env', 'get', model],
        stdin=subprocess.PIPE)
    env_name = stdout.decode().strip()

    # create/get the `conda_run` command
    conda_run = create_conda_run()

    singularity_exec(
        local_path,
        [conda_run, env_name] + kipoi_cmd,
        # kipoi_cmd_conda,
        bind_directories=involved_directories(dataloader_kwargs,
                                              output_files,
                                              exclude_dirs=['/tmp', '~']),
        dry_run=dry_run)