provision.py

import logging
import time
from concurrent.futures import ProcessPoolExecutor, ThreadPoolExecutor
from brian_dashboard_manager.config import DEFAULT_ORGANIZATIONS
from brian_dashboard_manager.grafana.utils.request import \
    AdminRequest, \
    TokenRequest
from brian_dashboard_manager.grafana.organization import \
    get_organizations, create_organization, create_api_token, \
    delete_api_token, delete_expired_api_tokens, set_home_dashboard
from brian_dashboard_manager.grafana.dashboard import \
    get_dashboard_definitions, create_dashboard, find_dashboard
from brian_dashboard_manager.grafana.datasource import \
    check_provisioned, create_datasource
from brian_dashboard_manager.grafana.folder import find_folder
from brian_dashboard_manager.inventory_provider.interfaces import \
    get_interfaces
from brian_dashboard_manager.templating.nren_access import generate_nrens

from brian_dashboard_manager.templating.helpers import is_re_customer, \
    is_cls_peer, is_cls, is_ias_customer, is_ias_private, is_ias_public, \
    is_ias_upstream, is_ias_peer, is_lag_backbone, is_nren, is_phy_upstream, \
    is_re_peer, is_gcs, is_geantopen, is_l2circuit, is_lhcone_peer, \
    is_lhcone_customer, is_lhcone, is_mdvpn, get_aggregate_dashboard_data, \
    get_interface_data, parse_backbone_name, parse_phy_upstream_name, \
    get_dashboard_data, get_aggregate_interface_data

from brian_dashboard_manager.templating.render import render_dashboard

logger = logging.getLogger(__name__)


def generate_all_nrens(token_request, nrens, folder_id, datasource_name):
    with ThreadPoolExecutor(max_workers=8) as executor:
        for dashboard in generate_nrens(nrens, datasource_name):
            executor.submit(create_dashboard, token_request,
                            dashboard, folder_id)


def provision_folder(token_request, folder_name,
                     dash, excluded_interfaces, datasource_name):

    folder = find_folder(token_request, folder_name)

    predicate = dash['predicate']
    tag = dash['tag']

    # dashboard will include error panel
    errors = dash.get('errors', False)

    # custom parsing function for description to dashboard name
    parse_func = dash.get('parse_func')

    relevant_interfaces = filter(predicate, excluded_interfaces)
    data = get_interface_data(relevant_interfaces, parse_func)
    dash_data = get_dashboard_data(data, datasource_name, tag, errors)

    with ThreadPoolExecutor(max_workers=4) as executor:
        for dashboard in dash_data:
            rendered = render_dashboard(dashboard)
            executor.submit(create_dashboard, token_request,
                            rendered, folder['id'])


def provision_aggregate(token_request, agg_type, aggregate_folder,
                        dash, excluded_interfaces, datasource_name):
    predicate = dash['predicate']
    tag = dash['tag']

    relevant_interfaces = filter(predicate, excluded_interfaces)
    data = get_aggregate_interface_data(relevant_interfaces, agg_type)

    dashboard = get_aggregate_dashboard_data(
        f'Aggregate - {agg_type}', data, datasource_name, tag)

    rendered = render_dashboard(dashboard)
    create_dashboard(token_request, rendered, aggregate_folder['id'])


def provision(config):

    request = AdminRequest(**config)
    all_orgs = get_organizations(request)

    orgs_to_provision = config.get('organizations', DEFAULT_ORGANIZATIONS)

    missing = (org['name'] for org in orgs_to_provision
               if org['name'] not in [org['name'] for org in all_orgs])

    for org_name in missing:
        org_data = create_organization(request, org_name)
        all_orgs.append(org_data)

    interfaces = get_interfaces(config['inventory_provider'])
    tokens = []

    start = time.time()

    for org in all_orgs:
        org_id = org['id']
        delete_expired_api_tokens(request, org_id)
        token = create_api_token(request, org_id)
        token_request = TokenRequest(token=token['key'], **config)
        tokens.append((org_id, token['id']))

        logger.info(
            f'--- Provisioning org {org["name"]} (ID #{org_id}) ---')

        try:
            org_config = next(
                o for o in orgs_to_provision if o['name'] == org['name'])
        except StopIteration:
            org_config = None

        if not org_config:
            logger.error(
                f'Org {org["name"]} does not have valid configuration.')
            org['info'] = 'Org exists in grafana but is not configured'
            continue

        # Only provision influxdb datasource for now
        datasource = config.get('datasources').get('influxdb')

        # Provision missing data sources
        if not check_provisioned(token_request, datasource):
            ds = create_datasource(token_request,
                                   datasource,
                                   config.get('datasources'))
            if ds:
                logger.info(
                    f'Provisioned datasource: {datasource["name"]}')

        excluded_nrens = org_config.get('excluded_nrens', [])
        excluded_nrens = list(map(lambda f: f.lower(), excluded_nrens))

        def excluded(interface):
            desc = interface.get('description', '').lower()
            return not any(nren.lower() in desc for nren in excluded_nrens)

        excluded_interfaces = list(filter(excluded, interfaces))

        dashboards = {
            'CLS': {
                'predicate': is_cls,
                'tag': 'CLS'
            },
            'RE PEER': {
                'predicate': is_re_peer,
                'tag': 'RE_PEER'
            },
            'RE CUST': {
                'predicate': is_re_customer,
                'tag': 'RE_CUST'
            },
            'GEANTOPEN': {
                'predicate': is_geantopen,
                'tag': 'GEANTOPEN'
            },
            'GCS': {
                'predicate': is_gcs,
                'tag': 'AUTOMATED_L2_CIRCUITS'
            },
            'L2 CIRCUIT': {
                'predicate': is_l2circuit,
                'tag': 'L2_CIRCUITS'
            },
            'LHCONE PEER': {
                'predicate': is_lhcone_peer,
                'tag': 'LHCONE_PEER'
            },
            'LHCONE CUST': {
                'predicate': is_lhcone_customer,
                'tag': 'LHCONE_CUST'
            },
            'MDVPN Customers': {
                'predicate': is_mdvpn,
                'tag': 'MDVPN'
            },
            'Infrastructure Backbone': {
                'predicate': is_lag_backbone,
                'tag': 'BACKBONE',
                'errors': True,
                'parse_func': parse_backbone_name
            },
            'IAS PRIVATE': {
                'predicate': is_ias_private,
                'tag': 'IAS_PRIVATE'
            },
            'IAS PUBLIC': {
                'predicate': is_ias_public,
                'tag': 'IAS_PUBLIC'
            },
            'IAS CUSTOMER': {
                'predicate': is_ias_customer,
                'tag': 'IAS_CUSTOMER'
            },
            'IAS UPSTREAM': {
                'predicate': is_ias_upstream,
                'tag': 'IAS_UPSTREAM'
            },
            'GWS PHY Upstream': {
                'predicate': is_phy_upstream,
                'tag': 'GWS_UPSTREAM',
                'errors': True,
                'parse_func': parse_phy_upstream_name
            }
        }
        # Provision dashboards, overwriting existing ones.
        datasource_name = datasource.get('name', 'PollerInfluxDB')

        with ProcessPoolExecutor(max_workers=4) as executor:
            for folder_name, dash in dashboards.items():
                logger.info(
                    f'Provisioning {org["name"]}/{folder_name} dashboards')
                executor.submit(provision_folder, token_request,
                                folder_name, dash,
                                excluded_interfaces, datasource_name)

        aggregate_dashboards = {
            'CLS PEERS': {
                'predicate': is_cls_peer,
                'tag': 'cls_peers',
            },
            'IAS PEERS': {
                'predicate': is_ias_peer,
                'tag': 'ias_peers',
            },
            'GWS UPSTREAMS': {
                'predicate': is_ias_upstream,
                'tag': 'gws_upstreams',
            },
            'LHCONE': {
                'predicate': is_lhcone,
                'tag': 'lhcone',
            },
            # 'CAE1': {
            #     'predicate': is_cae1,
            #     'tag': 'cae',
            # }
        }

        with ProcessPoolExecutor(max_workers=4) as executor:
            aggregate_folder = find_folder(token_request, 'Aggregates')
            for agg_type, dash in aggregate_dashboards.items():
                logger.info(
                    f'Provisioning {org["name"]}' +
                    f'/Aggregate {agg_type} dashboards')
                executor.submit(provision_aggregate, token_request, agg_type,
                                aggregate_folder, dash,
                                excluded_interfaces, datasource_name)

        # NREN Access dashboards
        # uses a different template than the above.
        logger.info('Provisioning NREN Access dashboards')
        folder = find_folder(token_request, 'NREN Access')
        nrens = filter(is_nren, excluded_interfaces)
        generate_all_nrens(token_request,
                           nrens, folder['id'], datasource_name)

        # Non-generated dashboards
        excluded_dashboards = org_config.get('excluded_dashboards', [])
        logger.info('Provisioning static dashboards')
        for dashboard in get_dashboard_definitions():
            if dashboard['title'] not in excluded_dashboards:
                if dashboard['title'].lower() == 'home':
                    dashboard['uid'] = 'home'
                    create_dashboard(token_request, dashboard)

        # Home dashboard is always called "Home"
        # Make sure it's set for the organization
        logger.info('Configuring Home dashboard')
        home_dashboard = find_dashboard(token_request, 'Home')
        if home_dashboard:
            set_home_dashboard(token_request, home_dashboard['id'])

    logger.info(f'Time to complete: {time.time() - start}')
    for org_id, token in tokens:
        delete_api_token(request, org_id, token)

    return all_orgs