@startuml seq-prediction
title Запуск прогноза траектории
autonumber

actor "Пользователь" as user
participant "ControlPanel /\nWorkspacesPanel" as ui
participant "workspacesStore" as store
participant "predictionsApi" as predapi
participant "client.ts" as client
participant "Backend\n(Django)" as be
participant "parsePrediction\n(domain)" as parse
participant "WorkspaceRenderer\n(карта)" as render

user -> ui : «Выполнить прогнозирование»
ui -> store : run(workspaceId)
activate store

store -> predapi : run(params, launchDateTime)
activate predapi
predapi -> predapi : buildLaunchDateTime(date, time)\n→ ISO 8601 (UTC, Z)
predapi -> predapi : getLatestDataset()\n→ актуальный слот GFS
predapi -> client : post('/predictions/', payload)
client -> be : POST /api/predictions/\n{FlightParameters, launch_datetime, dataset}
be --> client : { result: PredictionStage[] }
client --> predapi : PredictionResponse
predapi --> store : RawPrediction
deactivate predapi

store -> parse : parsePrediction(stages)
parse --> store : Prediction\n{flight_path[lat,lng,alt], timestamps[], launch/burst/landing}
store -> store : setResult(workspaceId, prediction)
deactivate store

store -> render : реактивное обновление
render -> render : линия трека + маркеры\n(старт, разрыв, приземление)

alt ошибка сервера/сети
    store -> store : lastRunError = message
    store --> ui : toast «Ошибка прогнозирования»
end
@enduml