コード例 #1
0
        return result


@needs()
def one():
    return 1


@needs()
def two():
    return 2


@prerequisite(one, two)
def three(a, b):
    return a + b


@rule(one, two, three, hostname, DmesgLineList)
def report(a, b, c, hn, dmsg):
    selinux = dmsg.get("SELinux")
    return make_fail("ERROR", a=a, b=b, c=c, hn=hn.fqdn, selinux=selinux)


if __name__ == "__main__":
    broker = dr.Broker()
    broker[Specs.hostname] = context_wrap("www.example.com")
    broker[Specs.dmesg] = context_wrap(MSGINFO)
    with Format(broker):
        dr.run(broker=broker)
コード例 #2
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 def create_broker(self, input_msg):
     return dr.Broker()
コード例 #3
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ファイル: cat.py プロジェクト: zerodayz/insights-core
 def from_dir(d):
     broker = dr.Broker()
     ctx = create_context(d, None)
     broker[ctx.__class__] = ctx
     return broker
コード例 #4
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ファイル: collect.py プロジェクト: skontar/insights-core
def collect(manifest=default_manifest,
            tmp_path=None,
            compress=False,
            rm_conf=None,
            client_timeout=None):
    """
    This is the collection entry point. It accepts a manifest, a temporary
    directory in which to store output, and a boolean for optional compression.

    Args:
        manifest (str or dict): json document or dictionary containing the
            collection manifest. See default_manifest for an example.
        tmp_path (str): The temporary directory that will be used to create a
            working directory for storing component output as well as the final
            tar.gz if one is generated.
        compress (boolean): True to create a tar.gz and remove the original
            workspace containing output. False to leave the workspace without
            creating a tar.gz
        rm_conf (dict): Client-provided python dict containing keys
            "commands", "files", and "keywords", to be injected
            into the manifest blacklist.
        client_timeout (int): Client-provided command timeout value
    Returns:
        The full path to the created tar.gz or workspace.
    """

    manifest = load_manifest(manifest)
    client = manifest.get("client", {})
    plugins = manifest.get("plugins", {})
    run_strategy = client.get("run_strategy", {"name": "parallel"})

    load_packages(plugins.get("packages", []))
    apply_default_enabled(plugins)
    apply_configs(plugins)

    apply_blacklist(client.get("blacklist", {}))

    # insights-client
    if client_timeout:
        try:
            client['context']['args']['timeout'] = client_timeout
        except LookupError:
            log.warning('Could not set timeout option.')
    rm_conf = rm_conf or {}
    apply_blacklist(rm_conf)
    for component in rm_conf.get('components', []):
        if not dr.get_component_by_name(component):
            log.warning('WARNING: Unknown component in blacklist: %s' %
                        component)
        else:
            dr.set_enabled(component, enabled=False)
            log.warning('WARNING: Skipping component: %s', component)

    to_persist = get_to_persist(client.get("persist", set()))

    try:
        filters.load()
    except IOError as e:
        # could not load filters file
        log.debug("No filters available: %s", str(e))
    except AttributeError as e:
        # problem parsing the filters
        log.debug("Could not parse filters: %s", str(e))

    try:
        hostname = call("hostname -f", env=SAFE_ENV).strip()
    except CalledProcessError:
        # problem calling hostname -f
        hostname = call("hostname", env=SAFE_ENV).strip()
    suffix = datetime.utcnow().strftime("%Y%m%d%H%M%S")
    relative_path = "insights-%s-%s" % (hostname, suffix)
    tmp_path = tmp_path or tempfile.gettempdir()
    output_path = os.path.join(tmp_path, relative_path)
    fs.ensure_path(output_path)
    fs.touch(os.path.join(output_path, "insights_archive.txt"))

    broker = dr.Broker()
    ctx = create_context(client.get("context", {}))
    broker[ctx.__class__] = ctx

    parallel = run_strategy.get("name") == "parallel"
    pool_args = run_strategy.get("args", {})
    with get_pool(parallel, pool_args) as pool:
        h = Hydration(output_path, pool=pool)
        broker.add_observer(h.make_persister(to_persist))
        dr.run_all(broker=broker, pool=pool)

    if compress:
        return create_archive(output_path)
    return output_path
コード例 #5
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ファイル: query.py プロジェクト: kylape/insights-core
def create_broker(components):
    broker = dr.Broker()
    for c in components:
        broker[c] = 1
    return broker