Commit 62b22885 authored by Waleed Akbar's avatar Waleed Akbar
Browse files

feat: Add Grafana dashboard for SIMAP SLA monitoring and enhance AI model processing 

- Introduced a new Grafana dashboard V3 JSON file for monitoring SIMAP service-level agreements (SLA).
- Updated AIModelProcessor to accept an InfluxDBFetcher instance for writing predicted telemetry results.
- Implemented a method in InfluxDBFetcher to write predicted telemetry data to InfluxDB, including average calculations for bandwidth utilization and latency.
- Modified the engine to pass the InfluxDB fetcher to the AI processor for telemetry writing.
parent 0e9ac4f4

grafana-dashboard-simap-sla-monitoring_V2.json→src/tests/mwc26-f5ga/AI_analytics_engine/Grafana_dashboard/grafana-dashboard-simap-sla-monitoring_V2.json

+122 −2
Original line number Diff line number Diff line
@@ -285,7 +285,34 @@ 
          },

          "unit": "percent"

        },

        "overrides": []

        "overrides": [

          {

            "matcher": {

              "id": "byRegexp",

              "options": "/pred_.*/"

            },

            "properties": [

              {

                "id": "custom.lineStyle",

                "value": {

                  "dash": [10, 10],

                  "fill": "dash"

                }

              },

              {

                "id": "color",

                "value": {

                  "fixedColor": "semi-dark-gray",

                  "mode": "fixed"

                }

              },

              {

                "id": "custom.fillOpacity",

                "value": 5

              }

            ]

          }

        ]

      },

      "gridPos": {

        "h": 15,
@@ -320,6 +347,16 @@ 
          "rawQuery": true,

          "refId": "A",

          "resultFormat": "time_series"

        },

        {

          "datasource": {

            "type": "influxdb",

            "uid": "${DS_INFLUXDB}"

          },

          "query": "SELECT pred_bandwidth_utilization FROM predicted_telemetry WHERE time > now() - $timerange AND network_id =~ /$network_id/ AND link_id =~ /$link_id/ GROUP BY network_id, link_id",

          "rawQuery": true,

          "refId": "B",

          "resultFormat": "time_series"

        }

      ],

      "title": "Link Bandwidth Utilization (%) - Timeline",
@@ -389,7 +426,34 @@ 
          },

          "unit": "ms"

        },

        "overrides": []

        "overrides": [

          {

            "matcher": {

              "id": "byRegexp",

              "options": "/pred_.*/"

            },

            "properties": [

              {

                "id": "custom.lineStyle",

                "value": {

                  "dash": [10, 10],

                  "fill": "dash"

                }

              },

              {

                "id": "color",

                "value": {

                  "fixedColor": "semi-dark-gray",

                  "mode": "fixed"

                }

              },

              {

                "id": "custom.fillOpacity",

                "value": 5

              }

            ]

          }

        ]

      },

      "gridPos": {

        "h": 15,
@@ -424,6 +488,16 @@ 
          "rawQuery": true,

          "refId": "A",

          "resultFormat": "time_series"

        },

        {

          "datasource": {

            "type": "influxdb",

            "uid": "${DS_INFLUXDB}"

          },

          "query": "SELECT pred_latency FROM predicted_telemetry WHERE time > now() - $timerange AND network_id =~ /$network_id/ AND link_id =~ /$link_id/ GROUP BY network_id, link_id",

          "rawQuery": true,

          "refId": "B",

          "resultFormat": "time_series"

        }

      ],

      "title": "Link Latency (ms) - Timeline",
@@ -662,6 +736,52 @@ 
        "query": "5m,10m,20m,1h,3h,6h,12h",

        "refresh": 2,

        "type": "interval"

      },

      {

        "current": {

          "selected": true,

          "text": "All",

          "value": "$__all"

        },

        "datasource": {

          "type": "influxdb",

          "uid": "${DS_INFLUXDB}"

        },

        "definition": "SHOW TAG VALUES FROM link_telemetry WITH KEY = network_id",

        "includeAll": true,

        "label": "Network ID",

        "multi": true,

        "name": "network_id",

        "options": [],

        "query": "SHOW TAG VALUES FROM link_telemetry WITH KEY = network_id",

        "refresh": 1,

        "regex": "",

        "skipUrlSync": false,

        "sort": 0,

        "type": "query"

      },

      {

        "current": {

          "selected": true,

          "text": "All",

          "value": "$__all"

        },

        "datasource": {

          "type": "influxdb",

          "uid": "${DS_INFLUXDB}"

        },

        "definition": "SHOW TAG VALUES FROM link_telemetry WITH KEY = link_id WHERE network_id =~ /$network_id/",

        "includeAll": true,

        "label": "Link ID",

        "multi": true,

        "name": "link_id",

        "options": [],

        "query": "SHOW TAG VALUES FROM link_telemetry WITH KEY = link_id WHERE network_id =~ /$network_id/",

        "refresh": 1,

        "regex": "",

        "skipUrlSync": false,

        "sort": 0,

        "type": "query"

      }

    ]

  },

src/tests/mwc26-f5ga/AI_analytics_engine/Grafana_dashboard/grafana-dashboard-simap-sla-monitoring_V3.json

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src/tests/mwc26-f5ga/AI_analytics_engine/ai_model/ai_processor.py

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src/tests/mwc26-f5ga/AI_analytics_engine/clients/influxdb_fetcher.py

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