晋太元中,武陵人捕鱼为业。缘溪行,忘路之远近。忽逢桃花林,夹岸数百步,中无杂树,芳草鲜美,落英缤纷。渔人甚异之,复前行,欲穷其林。   林尽水源,便得一山,山有小口,仿佛若有光。便舍船,从口入。初极狭,才通人。复行数十步,豁然开朗。土地平旷,屋舍俨然,有良田、美池、桑竹之属。阡陌交通,鸡犬相闻。其中往来种作,男女衣着,悉如外人。黄发垂髫,并怡然自乐。   见渔人,乃大惊,问所从来。具答之。便要还家,设酒杀鸡作食。村中闻有此人,咸来问讯。自云先世避秦时乱,率妻子邑人来此绝境,不复出焉,遂与外人间隔。问今是何世,乃不知有汉,无论魏晋。此人一一为具言所闻,皆叹惋。余人各复延至其家,皆出酒食。停数日,辞去。此中人语云:“不足为外人道也。”(间隔 一作:隔绝)   既出,得其船,便扶向路,处处志之。及郡下,诣太守,说如此。太守即遣人随其往,寻向所志,遂迷,不复得路。   南阳刘子骥,高尚士也,闻之,欣然规往。未果,寻病终。后遂无问津者。 .
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# Copyright (C) 2024 Red Hat, Inc., Jose Castillo <jcastillo@redhat.com>

# This file is part of the sos project: https://github.com/sosreport/sos
#
# This copyrighted material is made available to anyone wishing to use,
# modify, copy, or redistribute it subject to the terms and conditions of
# version 2 of the GNU General Public License.
#
# See the LICENSE file in the source distribution for further information.

import pwd
from sos.report.plugins import Plugin, IndependentPlugin, PluginOpt


class Instructlab(Plugin, IndependentPlugin):
    """
    This plugin is used to capture information about
    Instructlab installations.
    InstructLab is an open source project for enhancing
    large language models (LLMs) used in generative
    artificial intelligence (gen AI) applications.
    Instructlab can run either as a container, or directly
    outside a container.
    """

    short_desc = 'Instructlab'
    plugin_name = 'instructlab'
    profiles = ('ai',)
    containers = ('instructlab', 'ilab',)
    commands = ('ilab',)

    option_list = [
        PluginOpt('ilab-user', default='cloud-user', val_type=str,
                  desc='user that runs instructlab'),
        PluginOpt('ilab-conf-dir', default='', val_type=str,
                  desc='instructlab data directory'),
        PluginOpt('get-cache', default=False,
                  desc='Capture models and osci cached data')
    ]

    def setup(self):
        cont_share_conf_path = "/usr/share/instructlab/config"
        cont_opt_path = "/opt/app-root/src"
        # .cache dir contains the models and oci directories
        # which can be quite big. We'll gather this only if
        # specifying it via command line option
        cache_dir = ".cache/instructlab"
        # .config is where the configuration yaml files can
        # be found. We gather this always.
        config_dir = ".config/instructlab"
        # In the .local directory we can find datasets,
        # chat logs, taxonomies, and other very useful data
        # We gather this always.
        local_share_dir = ".local/share/instructlab"

        # container paths
        cont_cache_path = self.path_join(cont_opt_path, cache_dir)
        cont_config_path = self.path_join(cont_opt_path, config_dir)
        cont_local_path = self.path_join(cont_opt_path, local_share_dir)

        self.add_forbidden_path([
            self.path_join(cont_local_path,
                           "taxonomy/.git"),
            self.path_join(cont_local_path, "taxonomy/.github"),
            self.path_join(cont_opt_path,
                           "src/.local/share/instructlab/taxonomy/.git"),
            self.path_join(cont_opt_path,
                           "src/.local/share/instructlab/taxonomy/.github"),
        ])

        subcmds = [
            'taxonomy diff',
            'taxonomy diff --taxonomy-base=empty',
            'system info',
            'model list',
            'config show',
        ]

        data_dirs = [
            'data',
            'generated',
            'taxonomy',
            'taxonomy_data',
            'chatlogs',
            'checkpoints',
            'datasets',
            'internal',
            'phased',
        ]

        # If containerized, run commands in containers
        try:
            ilab_con = self.get_all_containers_by_regex("instructlab*")[0][1]
        except Exception:  # pylint: disable=broad-except
            ilab_con = None

        self.add_copy_spec(
            [f"{cont_share_conf_path}/rhel_ai_config.yaml",
             f"{cont_config_path}/config.yaml"],
            container=ilab_con
        )
        self.add_copy_spec(
            [self.path_join(cont_local_path, data_dir)
             for data_dir in data_dirs],
            container=ilab_con
        )
        self.add_cmd_output(
            [f"ilab {sub}" for sub in subcmds],
            container=ilab_con
        )
        self.add_dir_listing(
            cont_cache_path,
            recursive=True,
            container=ilab_con
        )
        if self.get_option('get-cache'):
            self.add_copy_spec(
                f"{cont_cache_path}",
                container=ilab_con
            )
        self.add_container_logs(list(self.containers))

        ilab_user = self.get_option("ilab-user")
        try:
            user_pwd = pwd.getpwnam(ilab_user)
        except KeyError:
            # The user doesn't exist, this will skip the rest
            self._log_warn(
                f'User "{ilab_user}" does not exist, will not '
                'collect Instructlab information. Use '
                '`-k instructlab.ilab-user` option to define '
                'the user to use to collect data for Instructlab')
            return

        if user_pwd:
            ilab_dir = user_pwd.pw_dir
            if self.get_option("ilab-conf-dir"):
                ilab_dir = self.path_join(
                    ilab_dir, self.get_option('ilab-conf-dir')
                )
            data_dirs_base = self.path_join(ilab_dir, local_share_dir)

            self.add_copy_spec(self.path_join(ilab_dir, config_dir))
            self.add_copy_spec([
                self.path_join(data_dirs_base, data_dir)
                for data_dir in data_dirs
            ])
            self.add_dir_listing(
                self.path_join(ilab_dir, cache_dir),
                recursive=True
            )

            if self.get_option("get-cache"):
                self.add_copy_spec(
                    self.path_join(ilab_dir, cache_dir)
                )

# vim: set et ts=4 sw=4 :

haha - 2025