Source code for insights.collect

#!/usr/bin/env python
"""
This module runs insights and serializes the results into a directory. It is
configurable with a yaml manifest that specifies what to load, what to run,
and what to serialize. If a manifest isn't provided, a default one is used that
runs all datasources in ``insights.specs.Specs`` and
``insights.specs.default.DefaultSpecs`` and saves all datasources in
``insights.specs.Specs``.
"""
from __future__ import print_function

import argparse
import logging
import os
import sys
import tempfile
import yaml

from datetime import datetime, timezone

from insights import apply_configs, apply_default_enabled, get_pool
from insights.cleaner import Cleaner
from insights.core import blacklist, dr, filters
from insights.core.serde import Hydration
from insights.core.spec_factory import SAFE_ENV
from insights.specs.manifests import manifests
from insights.util import fs
from insights.util.hostname import determine_hostname
from insights.util.subproc import call

log = logging.getLogger(__name__)

EXCEPTIONS_TO_REPORT = set([OSError])
"""Exception types that should be reported on after core collection."""


def load_manifest(data):
    """Helper for loading a manifest yaml doc."""
    if isinstance(data, dict):
        return data
    if os.path.isfile(data):
        with open(data, 'r') as f:
            doc = yaml.safe_load(f)
    else:
        doc = yaml.safe_load(data)
    if not isinstance(doc, dict):
        raise Exception("Manifest didn't result in dict.")
    return doc


def load_packages(pkgs):
    for p in pkgs:
        dr.load_components(p, continue_on_error=False)


def apply_blacklist(cfg):

    def _skip_component(component):
        dr.set_enabled(component, enabled=False)
        blacklist.BLACKLISTED_SPECS.append(component.split('.')[-1])
        log.warning('WARNING: Skipping component: %s' % component)

    def _check_and_skip_component(name):
        def _isidentifier(name):
            if hasattr(str, 'isidentifier'):
                return name.isidentifier()
            else:
                return not any(it in name for it in ('/', ' ', '.', '-'))

        if not _isidentifier(name):
            # not symbolic name
            return False
        # like a symbolic name
        component = 'insights.specs.default.DefaultSpecs.{0}'.format(name)
        if dr.get_component_by_name(component):
            # is a sybmolic name
            _skip_component(component)
            return True
        # not symbolic name
        return False

    for fil in cfg.get("files", []):
        if not _check_and_skip_component(fil):
            blacklist.add_file(fil)

    for cmd in cfg.get("commands", []):
        if not _check_and_skip_component(cmd):
            blacklist.add_command(cmd)

    for component in cfg.get('components', []):
        if not dr.get_component_by_name(component):
            log.warning('WARNING: Unknown component in blacklist: %s' % component)
        else:
            _skip_component(component)

    if cfg.get('patterns'):
        log.warning("WARNING: Excluding patterns defined in blacklist configuration")

    if cfg.get('keywords'):
        log.warning("WARNING: Replacing keywords defined in blacklist configuration")


def create_context(ctx):
    """
    Loads and constructs the specified context with the specified arguments.
    If a '.' isn't in the class name, the 'insights.core.context' package is
    assumed.
    """
    ctx_cls_name = ctx.get("class", "insights.core.context.HostContext")
    if "." not in ctx_cls_name:
        ctx_cls_name = "insights.core.context." + ctx_cls_name
    ctx_cls = dr.get_component(ctx_cls_name)
    ctx_args = ctx.get("args", {})
    return ctx_cls(**ctx_args)


def get_to_persist(persisters):
    """
    Given a specification of what to persist, generates the corresponding set
    of components.
    """

    def specs():
        for p in persisters:
            if isinstance(p, dict):
                yield p["name"], p.get("enabled", True)
            else:
                yield p, True

    components = sorted(dr.DELEGATES, key=dr.get_name)
    names = dict((c, dr.get_name(c)) for c in components)

    results = set()
    for p, e in specs():
        for c in components:
            if names[c].startswith(p):
                if e:
                    results.add(c)
                elif c in results:
                    results.remove(c)
    return results


def create_archive(path, remove_path=True):
    """
    Creates a tar.gz of the path using the path basename + "tar.gz"
    The resulting file is in the parent directory of the original path, and
    the original path is removed.
    """
    root_path = os.path.dirname(path)
    relative_path = os.path.basename(path)
    archive_path = path + ".tar.gz"

    cmd = [["tar", "-C", root_path, "-czf", archive_path, relative_path]]
    call(cmd, env=SAFE_ENV)
    if remove_path:
        fs.remove(path)
    return archive_path


def generate_archive_name():
    """
    Creates the archive directory to store the component output.
    """
    hostname = determine_hostname()
    suffix = datetime.now(timezone.utc).strftime("%Y%m%d%H%M%S")
    return "insights-%s-%s" % (hostname, suffix)


[docs] def collect( client_config=None, rm_conf=None, tmp_path=None, archive_name=None, compress=False, manifest=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: client_config (InsightsConfig): Configurations read from insights-client configuration, including "manifest". rm_conf (dict): Client-provided python dict containing keys "commands", "files", and "keywords", to be injected into the manifest blacklist. tmp_path (str): The temporary directory that is used to create a working directory for storing the final tar.gz if one is generated. archive_name (str): The directory that is used to generate the output as well as the final tar.gz. 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 manifest (str or dict): json document or dictionary containing the collection manifest. See default_manifest for an example. This option works only for `insights-collect` where 'client_config' is not filled. Returns: (str, dict): The full path to the created tar.gz or workspace. And a dictionary with relevant exceptions captured by the broker during core collection, this dictionary has the following structure: ``{ exception_type: [ (exception_obj, component), (exception_obj, component) ]}``. """ # Get the manifest per the following order: # 1. "client_config.manifest" # 2. "manifest" passed to the `insights.collect()` # 3. "default_manifest" defined in `insights.specs.manifests` manifest = manifests['default'] if manifest is None else manifest if client_config and hasattr(client_config, 'manifest') and client_config.manifest: manifest = client_config.manifest manifest = load_manifest(manifest) client = manifest.get("client", {}) plugins = manifest.get("plugins", {}) load_packages(plugins.get("packages", [])) apply_default_enabled(plugins) apply_configs(plugins) # process blacklist black_list = client.get("blacklist", {}) black_list.update(rm_conf or {}) apply_blacklist(black_list) # insights-client if client_config and client_config.cmd_timeout: try: client['context']['args']['timeout'] = client_config.cmd_timeout except LookupError: log.warning('Could not set timeout option.') 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)) output_path = os.path.join(tmp_path, archive_name) fs.ensure_path(output_path) fs.touch(os.path.join(output_path, "insights_archive.txt")) broker = dr.Broker() ctx = create_context(client.get("context", {})) cleaner = Cleaner(client_config, black_list) if client_config else None broker[ctx.__class__] = ctx broker['cleaner'] = cleaner broker['redact_config'] = black_list broker['client_config'] = client_config # run in "serial" mode by default run_strategy = client.get("run_strategy", {"name": "serial"}) parallel = run_strategy.get("name") == "parallel" to_persist = get_to_persist(client.get("persist", set())) if client_config and client_config.obfuscate and parallel: log.warning("Parallel collection is not supported when 'obfuscate' is enabled") parallel = False pool_args = run_strategy.get("args", {}) with get_pool(parallel, "insights-collector-pool", pool_args) as pool: h = Hydration(output_path, ctx, pool=pool) broker.add_observer(h.make_persister(to_persist)) dr.run_all(broker=broker, pool=pool) collect_errors = _parse_broker_exceptions(broker, EXCEPTIONS_TO_REPORT) cleaner.generate_report(archive_name) if cleaner else None if compress: return create_archive(output_path), collect_errors return output_path, collect_errors
def _parse_broker_exceptions(broker, exceptions_to_report): """ Parse the exceptions captured in the broker during core collection and keep only exception types configured in the ``exceptions_to_report``. Args: broker (Broker): Broker object used for core collection. exceptions_to_report (set): Exception types to retrieve from the broker. Returns: (dict): A dictionary with relevant exceptions captured by the broker. """ errors = {} try: if broker.exceptions: for component, exceptions in broker.exceptions.items(): for ex in exceptions: ex_type = type(ex) if ex_type in exceptions_to_report: if ex_type in errors.keys(): errors[ex_type].append((ex, component)) else: errors[ex_type] = [(ex, component)] except Exception as e: log.warning("Could not parse exceptions from the broker.: %s", str(e)) return errors def main(): # Remove command line args so that they are not parsed by any called modules # The main fxn is only invoked as a cli, if calling from another cli then # use the collect function instead collect_args = [arg for arg in sys.argv[1:]] if len(sys.argv) > 1 else [] sys.argv = ( [ sys.argv[0], ] if sys.argv else sys.argv ) p = argparse.ArgumentParser() p.add_argument("-m", "--manifest", help="Manifest yaml.") p.add_argument("-o", "--out_path", help="Path to write output data.") p.add_argument("-q", "--quiet", help="Error output only.", action="store_true") p.add_argument("-v", "--verbose", help="Verbose output.", action="store_true") p.add_argument("-d", "--debug", help="Debug output.", action="store_true") p.add_argument("-c", "--compress", help="Compress", action="store_true") args = p.parse_args(args=collect_args) level = logging.WARNING if args.verbose: level = logging.INFO if args.debug: level = logging.DEBUG if args.quiet: level = logging.ERROR logging.basicConfig(level=level) out_path = args.out_path or tempfile.gettempdir() archive, errors = collect( manifest=args.manifest, tmp_path=out_path, archive_name=generate_archive_name(), compress=args.compress, ) print(archive) if __name__ == "__main__": main()