local g = import 'g.libsonnet';


local overrideSeries = function(series, override)
  g.panel.timeSeries.fieldOverride.byName.new(series)
  + g.panel.timeSeries.fieldOverride.byName.withProperty(
    'displayName',
    override
  );

{
  timeSeries: {
    local timeSeries = g.panel.timeSeries,
    local stat = g.panel.stat,
    local fieldOverride = g.panel.timeSeries.fieldOverride,
    local custom = timeSeries.fieldConfig.defaults.custom,

      then all panels below it will be folded into the row.

      Optional `startY` can be provided to place generated grid above or below existing panels.
    |||,
    args=[
      d.arg('panels', d.T.array),
      d.arg('panelHeight', d.T.number),
      d.arg('startY', d.T.number),
    ],
  ),
  makeGrid(panels, panelHeight=8, startY=0):
    local sanitizePanels(ps, row) = std.map(
      function(p)

    + row.withPanels([
      panels.timeSeries.statRps('Traffic Volume', queries.globalRequest, 'Total requests in the cluster'),
      panels.timeSeries.statPercent('Success Rate', queries.globalRequestSuccessRate, 'Total success rate of requests in the cluster'),
      panels.timeSeries.statRps('4xxs', queries.globalRequest4xx, 'Total 4xx requests in in the cluster'),

      panels.timeSeries.connections('Connections', queries.connections, 'Connections opened and closed per instance'),
      panels.timeSeries.bytesRate('Bytes Transmitted', queries.bytes, 'Bytes sent and received per instance'),
      panels.timeSeries.dns('DNS Request', queries.dns, 'DNS queries received per instance'),
    ]),
    row.new('Operations')
    + row.withPanels([
      panels.timeSeries.base(

    row.new('Deployed Versions')
    + row.withPanels([
      panels.timeSeries.simple('Pilot Versions', queries.istioBuild, 'Version number of each running instance'),
    ]),
  ], panelHeight=5)
  + grid.makeGrid([
    row.new('Resource Usage')
    + row.withPanels([
      panels.timeSeries.bytes('Memory Usage', queries.goMemoryUsage, 'Memory usage of each running instance'),

* **Vue** ile frontend:
    * Vue CLI ile oluşturulmuş.
    * Dahili **JWT kimlik doğrulama**.
    * Dahili Login.
    * Login sonrası, Kontrol paneli.
    * Kullanıcı oluşturma ve düzenleme kontrol paneli
    * Kendi kendine kullanıcı sürümü.
    * **Vuex**.
    * **Vue-router**.
    * **Vuetify** güzel material design kompanentleri için.
    * **TypeScript**.

Because you are running the Uvicorn server directly from your code, you can call your Python program (your FastAPI application) directly from the debugger.

---

For example, in Visual Studio Code, you can:

* Go to the "Debug" panel.
* "Add configuration...".
* Select "Python"
* Run the debugger with the option "`Python: Current File (Integrated Terminal)`".

It will then start the server with your **FastAPI** code, stop at your breakpoints, etc.