Graham McIntie
a1bf5f284a
- Add get_impact_summary/1: aggregates current outage subscriber/MRR impact - Add list_active_incidents/1: down devices enriched with Gaiia/Preseem data, sorted by MRR - Add get_site_impact_summaries/1: per-site health with QoE, affected subs, MRR at risk - Dashboard top stats: MRR at Risk and Subscribers Affected cards - Active Incidents section: color-coded by severity, shows duration/subs/MRR/QoE - Site Health Grid: green/yellow/red health dots based on uptime and QoE scores
272 lines
8.7 KiB
Elixir
272 lines
8.7 KiB
Elixir
defmodule Towerops.Dashboard do
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@moduledoc """
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Aggregates data from multiple contexts for the command center dashboard.
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"""
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alias Towerops.Alerts
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alias Towerops.Devices
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alias Towerops.Gaiia
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alias Towerops.Gaiia.ImpactAnalysis
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alias Towerops.Preseem
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alias Towerops.Preseem.Insights
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alias Towerops.Sites
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@doc "Returns a complete dashboard summary for an organization."
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def get_dashboard_summary(organization_id) do
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status_counts = Devices.get_device_status_counts(organization_id)
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total_devices = status_counts |> Map.values() |> Enum.sum()
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active_alerts = Alerts.list_organization_active_alerts(organization_id)
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subscriber_totals = Gaiia.get_org_subscriber_totals(organization_id)
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insight_counts = Insights.count_active_by_urgency(organization_id)
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%{
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health_score: compute_health_score(organization_id),
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devices: %{
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total: total_devices,
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up: Map.get(status_counts, :up, 0),
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down: Map.get(status_counts, :down, 0),
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unknown: Map.get(status_counts, :unknown, 0)
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},
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alerts: %{
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active_count: length(active_alerts)
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},
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subscribers: %{
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total: subscriber_totals.total_subscribers,
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total_mrr: subscriber_totals.total_mrr
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},
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insights: insight_counts
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}
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end
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@doc """
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Compute a weighted 0-100 health score for an organization.
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Weights:
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- Device uptime % (40%)
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- Response time health (20%) - currently based on device status
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- Critical alert penalty (20%)
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- Preseem QoE average (10%, skipped if unavailable)
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- Agent online % (10%, skipped if no agents)
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Unavailable components have their weight redistributed proportionally.
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"""
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def compute_health_score(organization_id) do
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status_counts = Devices.get_device_status_counts(organization_id)
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total = status_counts |> Map.values() |> Enum.sum()
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if total == 0 do
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100
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else
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up = Map.get(status_counts, :up, 0)
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down = Map.get(status_counts, :down, 0)
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active_alerts = Alerts.list_organization_active_alerts(organization_id)
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# Device uptime percentage (0.0-1.0)
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uptime_ratio = up / total
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# Response time health - approximate from up/unknown ratio
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responsive_ratio = (total - down) / total
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# Alert penalty - each alert reduces score, capped at full penalty
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alert_penalty = min(length(active_alerts) * 0.1, 1.0)
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alert_score = 1.0 - alert_penalty
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# Weighted score (redistribute Preseem/Agent weights to core metrics)
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# Base weights: uptime 40%, response 20%, alerts 20%, preseem 10%, agents 10%
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# Without preseem/agents: uptime 50%, response 25%, alerts 25%
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score =
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uptime_ratio * 50.0 +
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responsive_ratio * 25.0 +
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alert_score * 25.0
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round(score)
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end
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end
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@doc "Returns subscriber summary for the org from Gaiia data."
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def get_org_subscriber_summary(organization_id) do
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totals = Gaiia.get_org_subscriber_totals(organization_id)
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%{
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total: totals.total_subscribers,
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total_mrr: totals.total_mrr
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}
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end
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@doc "Returns per-site summaries with device counts, alerts, and subscriber data."
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def list_site_summaries(organization_id) do
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sites = Sites.list_organization_sites(organization_id)
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Enum.map(sites, fn site ->
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device_count = Devices.count_site_devices(site.id)
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down_count = Devices.count_site_devices_down(site.id)
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gaiia_summary = Gaiia.get_site_subscriber_summary(site.id)
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%{
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site_id: site.id,
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name: site.name,
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device_count: device_count,
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devices_down: down_count,
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subscribers: if(gaiia_summary, do: gaiia_summary.account_count),
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mrr: if(gaiia_summary, do: gaiia_summary.total_mrr)
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}
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end)
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end
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@doc """
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Returns aggregate impact summary for current outages.
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Shows total subscribers affected by down devices, total MRR at risk,
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and number of sites with outages.
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"""
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def get_impact_summary(organization_id) do
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down_devices = Devices.list_organization_devices(organization_id, %{"status" => "down"})
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# Compute impact for each down device
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impacts =
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Enum.map(down_devices, fn device ->
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ImpactAnalysis.analyze_device_impact(organization_id, device.id)
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end)
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# Aggregate — count unique sites with outages
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sites_with_outages =
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down_devices
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|> Enum.map(& &1.site_id)
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|> Enum.reject(&is_nil/1)
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|> Enum.uniq()
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|> length()
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total_subscribers = impacts |> Enum.map(& &1.total_subscribers) |> Enum.sum()
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total_mrr =
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impacts
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|> Enum.map(& &1.total_mrr)
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|> Enum.reduce(Decimal.new("0"), &Decimal.add/2)
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%{
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subscribers_affected: total_subscribers,
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mrr_at_risk: total_mrr,
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sites_with_outages: sites_with_outages,
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down_device_count: length(down_devices)
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}
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end
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@doc """
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Returns down devices enriched with Gaiia subscriber impact, Preseem QoE data,
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site info, and outage duration. Sorted by MRR impact descending.
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"""
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def list_active_incidents(organization_id) do
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down_devices = Devices.list_organization_devices(organization_id, %{"status" => "down"})
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now = DateTime.utc_now()
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incidents =
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Enum.map(down_devices, fn device ->
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impact = ImpactAnalysis.analyze_device_impact(organization_id, device.id)
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preseem_ap = Preseem.get_access_point_for_device(device.id)
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duration_seconds =
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if device.last_status_change_at do
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DateTime.diff(now, device.last_status_change_at, :second)
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else
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nil
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end
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%{
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device_id: device.id,
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device_name: device.name,
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site_id: device.site_id,
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site_name: if(device.site, do: device.site.name),
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duration_seconds: duration_seconds,
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subscribers_affected: impact.total_subscribers,
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mrr_at_risk: impact.total_mrr,
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qoe_score: if(preseem_ap, do: preseem_ap.qoe_score),
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triggered_at: device.last_status_change_at
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}
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end)
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Enum.sort_by(incidents, & &1.mrr_at_risk, {:desc, Decimal})
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end
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@doc """
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Enhanced site summaries with impact data from currently-down devices,
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MRR at risk, average QoE score, and site health score.
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"""
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def get_site_impact_summaries(organization_id) do
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sites = Sites.list_organization_sites(organization_id)
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Enum.map(sites, fn site ->
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device_count = Devices.count_site_devices(site.id)
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down_count = Devices.count_site_devices_down(site.id)
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gaiia_summary = Gaiia.get_site_subscriber_summary(site.id)
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# Get impact from down devices at this site
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down_devices = Devices.list_organization_devices(organization_id, %{"status" => "down", "site_id" => site.id})
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{subscribers_affected, mrr_at_risk} =
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if down_count > 0 do
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impacts =
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Enum.map(down_devices, fn device ->
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ImpactAnalysis.analyze_device_impact(organization_id, device.id)
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end)
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subs = impacts |> Enum.map(& &1.total_subscribers) |> Enum.sum()
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mrr = impacts |> Enum.map(& &1.total_mrr) |> Enum.reduce(Decimal.new("0"), &Decimal.add/2)
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{subs, mrr}
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else
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{0, Decimal.new("0")}
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end
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# Get average QoE from Preseem for devices at this site
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site_devices = Devices.list_site_devices(site.id)
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qoe_scores =
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site_devices
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|> Enum.map(fn d -> Preseem.get_access_point_for_device(d.id) end)
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|> Enum.reject(&is_nil/1)
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|> Enum.map(& &1.qoe_score)
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|> Enum.reject(&is_nil/1)
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avg_qoe =
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if qoe_scores != [] do
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Enum.sum(qoe_scores) / length(qoe_scores)
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end
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# Site health: green (all up), yellow (some issues), red (devices down)
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site_health =
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cond do
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down_count > 0 -> :red
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avg_qoe && avg_qoe < 7.0 -> :yellow
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true -> :green
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end
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%{
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site_id: site.id,
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name: site.name,
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device_count: device_count,
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devices_down: down_count,
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subscribers: if(gaiia_summary, do: gaiia_summary.account_count),
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mrr: if(gaiia_summary, do: gaiia_summary.total_mrr),
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subscribers_affected: subscribers_affected,
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mrr_at_risk: mrr_at_risk,
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avg_qoe: avg_qoe,
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site_health: site_health
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}
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end)
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end
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@doc "Returns a summary for a single site."
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def get_site_summary(site_id) do
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device_count = Devices.count_site_devices(site_id)
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down_count = Devices.count_site_devices_down(site_id)
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alert_count = Alerts.count_site_active_alerts(site_id)
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gaiia_summary = Gaiia.get_site_subscriber_summary(site_id)
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%{
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device_count: device_count,
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devices_down: down_count,
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alert_count: alert_count,
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subscribers: if(gaiia_summary, do: gaiia_summary.account_count),
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mrr: if(gaiia_summary, do: gaiia_summary.total_mrr)
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}
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end
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end
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