data_download.py

import logging
from typing import List, Optional, Dict, Any, Sequence
from compendium_v2.auth.session_management import admin_required

from compendium_v2.db.presentation_models import AlienWave, BudgetEntry, Capacity, CentralProcurement, \
    CertificateProviders, \
    CommercialChargingLevel, CommercialConnectivity, \
    ConnectedProportion, ConnectionCarrier, ConnectivityGrowth, ConnectivityLevel, ConnectivityLoad, CrisisExercises, \
    DarkFibreInstalled, \
    DarkFibreLease, ECProject, EOSCListings, ExternalConnections, FibreLight, \
    FundingSource, ChargingStructure, InstitutionURLs, MonitoringTools, NRENService, NetworkAutomation, \
    NetworkFunctionVirtualisation, NetworkMapUrls, NonREPeers, NrenStaff, OpsAutomation, ParentOrganization, \
    PassiveMonitoring, PertTeam, RemoteCampuses, SecurityControls, ServiceManagement, ServiceUserTypes, SiemVendors, \
    Standards, SubOrganization, TrafficRatio, TrafficStatistics, \
    TrafficVolume, Policy, WeatherMap
from compendium_v2.routes import common
from compendium_v2.routes.common import extract_model_data, extract_special_model_data, fetch_data_from_table, \
    fetch_data_from_table_with_user_category
from flask import Blueprint

routes = Blueprint('data_download', __name__)
logger = logging.getLogger(__name__)


@routes.route('/', methods=['GET'])
@common.require_accepts_json
@admin_required
def fetch_and_combine_data() -> Sequence[Optional[Dict[str, Any]]]:
    result_set: List[Optional[Dict[str, Any]]] = []

    # Fetch and extract data from the BudgetEntry table and add it to the result set
    entries = fetch_data_from_table(BudgetEntry, extract_model_data)
    metaInfo = {'columnName': 'budget', 'format': '€#,##0.00,,"M"'}
    result_set.append({'name': 'Budget', 'data': entries, 'meta': metaInfo})

    # Fetch and extract data from the FundingSource table and add it to the result set
    entries = fetch_data_from_table(FundingSource, extract_model_data)
    result_set.append({'name': 'Funding Source', 'data': entries})

    # Fetch and extract data from the ChargingStructure table and add it to the result set
    entries = fetch_data_from_table(ChargingStructure, extract_model_data)
    result_set.append({'name': 'Charging Structure', 'data': entries})

    # Fetch and extract data from the CommercialChargingLevel table and add it to the result set
    entries = fetch_data_from_table(CommercialChargingLevel, extract_model_data)
    result_set.append({'name': 'Commercial Charging Level', 'data': entries})

    # Fetch and extract data from the ConnectedProportion table and add it to the result set
    entries = fetch_data_from_table_with_user_category(ConnectedProportion, extract_model_data)
    result_set.append({'name': 'Market Share', 'data': entries})

    # Fetch and extract data from the ConnectivityLevel table and add it to the result set
    entries = fetch_data_from_table_with_user_category(ConnectivityLevel, extract_model_data)
    result_set.append({'name': 'Level of IP Connectivity ', 'data': entries})

    # Fetch and extract data from the ConnectionCarrier table and add it to the result set
    entries = fetch_data_from_table_with_user_category(ConnectionCarrier, extract_model_data)
    result_set.append({'name': 'Carrying IP Traffic to Users', 'data': entries})

    # Fetch and extract data from the ConnectivityLoad table and add it to the result set
    entries = fetch_data_from_table_with_user_category(ConnectivityLoad, extract_model_data)
    result_set.append({'name': 'Traffic Load', 'data': entries})

    # Fetch and extract data from the ConnectivityGrowth table
    entries = fetch_data_from_table_with_user_category(ConnectivityGrowth, extract_model_data)
    result_set.append({'name': 'Est Traffic Growth 3 years', 'data': entries})

    # Fetch and extract data from the CommercialConnectivity table and add it to the result set
    entries = fetch_data_from_table(CommercialConnectivity, extract_model_data)
    result_set.append({'name': 'Commercial Connectivity', 'data': entries})

    # Fetch and extract data from the ECProject table and add it to the result set
    entries = fetch_data_from_table(ECProject, extract_model_data)
    result_set.append({'name': 'EC Project', 'data': entries})

    # Fetch and extract data from the InstitutionURLs table and add it to the result set
    entries = fetch_data_from_table(InstitutionURLs, extract_model_data)
    result_set.append({'name': 'Institutions', 'data': entries})

    # Fetch and extract data from the NRENService table and add it to the result set
    entries = fetch_data_from_table(NRENService, extract_model_data)
    result_set.append({'name': 'Services', 'data': entries})

    # Fetch and extract data from the ParentOrganization table and add it to the result set
    entries = fetch_data_from_table(ParentOrganization, extract_model_data)
    result_set.append({'name': 'Parent Organization', 'data': entries})

    # Fetch and extract data from the SubOrganization table and add it to the result set
    entries = fetch_data_from_table(SubOrganization, extract_model_data)
    result_set.append({'name': 'Sub-Organization', 'data': entries})

    # Fetch and extract data from the Policy table and add it to the result set
    entries = fetch_data_from_table(Policy, extract_model_data)
    result_set.append({'name': 'Policies', 'data': entries})

    # Fetch and extract data from the NrenStaff table and add it to the result set
    entries = fetch_data_from_table(NrenStaff, extract_model_data)
    result_set.append({'name': 'Staff', 'data': entries})

    # Fetch and extract data from the TrafficVolume table and add it to the result set
    entries = fetch_data_from_table(TrafficVolume, extract_model_data)
    result_set.append({'name': 'Traffic Volume', 'data': entries})

    # Fetch and extract data from the ExternalConnections table and add it to the result set
    entries = fetch_data_from_table(ExternalConnections, extract_special_model_data)
    result_set.append({'name': 'External IP links', 'data': entries})

    # Fetch and extract data from the RemoteCampuses table and add it to the result set
    entries = fetch_data_from_table(RemoteCampuses, extract_special_model_data)
    result_set.append({'name': 'Remote Campuses', 'data': entries})

    # Fetch and extract data from the DarkFibreLease table and add it to the result set
    entries = fetch_data_from_table(DarkFibreLease, extract_model_data)
    result_set.append({'name': 'Dark Fibre Lease', 'data': entries})

    # Fetch and extract data from the DarkFibreInstalled table and add it to the result set
    entries = fetch_data_from_table(DarkFibreInstalled, extract_model_data)
    result_set.append({'name': 'Dark Fibre Installed', 'data': entries})

    # Fetch and extract data from the FibreLight table and add it to the result set
    entries = fetch_data_from_table(FibreLight, extract_model_data)
    result_set.append({'name': 'Fibre Operation Model', 'data': entries})

    # Fetch and extract data from the NetworkMapUrls table and add it to the result set
    entries = fetch_data_from_table(NetworkMapUrls, extract_model_data)
    result_set.append({'name': 'Network Map Urls', 'data': entries})

    # Fetch and extract data from the MonitoringTools table and add it to the result set
    entries = fetch_data_from_table(MonitoringTools, extract_model_data)
    result_set.append({'name': 'Monitoring Tools', 'data': entries})

    # Fetch and extract data from the PassiveMonitoring table and add it to the result set
    entries = fetch_data_from_table(PassiveMonitoring, extract_model_data)
    result_set.append({'name': 'Passive Monitoring', 'data': entries})

    # Fetch and extract data from the TrafficStatistics table and add it to the result set
    entries = fetch_data_from_table(TrafficStatistics, extract_model_data)
    result_set.append({'name': 'Traffic Statistics', 'data': entries})

    # Fetch and extract data from the SiemVendors table and add it to the result set
    entries = fetch_data_from_table(SiemVendors, extract_model_data)
    result_set.append({'name': 'Siem Vendors', 'data': entries})

    # Fetch and extract data from the CertificateProviders table and add it to the result set
    entries = fetch_data_from_table(CertificateProviders, extract_model_data)
    result_set.append({'name': 'Certificate Providers', 'data': entries})

    # Fetch and extract data from the WeatherMap table and add it to the result set
    entries = fetch_data_from_table(WeatherMap, extract_model_data)
    result_set.append({'name': 'Weather Map Url', 'data': entries})

    # Fetch and extract data from the AlienWave table and add it to the result set
    entries = fetch_data_from_table(AlienWave, extract_model_data)
    result_set.append({'name': 'Alien Wave', 'data': entries})

    # Fetch and extract data from the Capacity table and add it to the result set
    entries = fetch_data_from_table(Capacity, extract_model_data)
    result_set.append({'name': 'Backbone Capacity', 'data': entries})

    # Fetch and extract data from the NonREPeers table and add it to the result set
    entries = fetch_data_from_table(NonREPeers, extract_model_data)
    result_set.append({'name': 'Non R&E Peers', 'data': entries})

    # Fetch and extract data from the TrafficRatio table and add it to the result set
    entries = fetch_data_from_table(TrafficRatio, extract_model_data)
    result_set.append({'name': 'Traffic Ratio', 'data': entries})

    # Fetch and extract data from the OpsAutomation table and add it to the result set
    entries = fetch_data_from_table(OpsAutomation, extract_model_data)
    result_set.append({'name': 'Ops Automation', 'data': entries})

    # Fetch and extract data from the NetworkFunctionVirtualisation table and add it to the result set
    entries = fetch_data_from_table(NetworkFunctionVirtualisation, extract_model_data)
    result_set.append({'name': 'Network Function Virtualisation', 'data': entries})

    # Fetch and extract data from the NetworkAutomation table and add it to the result set
    entries = fetch_data_from_table(NetworkAutomation, extract_model_data)
    result_set.append({'name': 'Network Automation', 'data': entries})

    # Fetch and extract data from the CrisisExercises table and add it to the result set
    entries = fetch_data_from_table(CrisisExercises, extract_model_data)
    result_set.append({'name': 'Crisis Exercises', 'data': entries})

    # Fetch and extract data from the SecurityControls table and add it to the result set
    entries = fetch_data_from_table(SecurityControls, extract_model_data)
    result_set.append({'name': 'Security Controls', 'data': entries})

    # Fetch and extract data from the CentralProcurement table and add it to the result set
    entries = fetch_data_from_table(CentralProcurement, extract_model_data)
    result_set.append({'name': 'Central Procurement', 'data': entries})

    # Fetch and extract data from the CentralProcurement table and add it to the result set
    entries = fetch_data_from_table(ServiceManagement, extract_model_data)
    result_set.append({'name': 'Service Management', 'data': entries})

    # Fetch and extract data from the ServiceUserTypes table and add it to the result set
    entries = fetch_data_from_table(ServiceUserTypes, extract_model_data)
    result_set.append({'name': 'Service User Types', 'data': entries})

    # Fetch and extract data from the EOSCListings table and add it to the result set
    entries = fetch_data_from_table(EOSCListings, extract_model_data)
    result_set.append({'name': 'EOSC Listings', 'data': entries})

    # Fetch and extract data from the Standards table and add it to the result set
    entries = fetch_data_from_table(Standards, extract_model_data)
    result_set.append({'name': 'Standards', 'data': entries})

    # Fetch and extract data from the PertTeam table and add it to the result set
    entries = fetch_data_from_table(PertTeam, extract_model_data)
    result_set.append({'name': 'Pert Team', 'data': entries})

    return result_set