package processreport

import (
	"time"

	"gitea.maximumdirect.net/eric/audita/v3/internal/core/reporting"
	"gitea.maximumdirect.net/eric/audita/v3/internal/framework/llm"
	"gitea.maximumdirect.net/eric/audita/v3/internal/framework/structuredoutput"
)

func mapLLMSummary(source llm.ExecutionSummary) reporting.LLMSummary {
	metric := func(value llm.TokenCount) reporting.TokenMetric {
		return reporting.TokenMetric{Value: value.Value, Known: value.Known, Complete: value.Complete}
	}
	return reporting.LLMSummary{
		LogicalCalls: source.LogicalCalls, ProviderAttempts: source.ProviderAttempts,
		TransientRetries: source.TransientRetries, StructuralRepairs: source.StructuralRepairs,
		Usage: reporting.LLMUsage{Prompt: metric(source.Usage.Prompt), Completion: metric(source.Usage.Completion), Total: metric(source.Usage.Total), Cached: metric(source.Usage.Cached), CacheWrite: metric(source.Usage.CacheWrite)},
	}
}

type executionCall struct {
	RequestedPromptID string                             `json:"requested_prompt_id,omitempty"`
	CallID            uint64                             `json:"call_id"`
	Context           structuredoutput.DiagnosticContext `json:"context"`
	Prompt            structuredoutput.PromptMetadata    `json:"prompt"`
	Started           time.Time                          `json:"started"`
	Finished          *time.Time                         `json:"finished,omitempty"`
	ElapsedMS         int64                              `json:"elapsed_ms"`
	Failure           structuredoutput.FailureKind       `json:"failure,omitempty"`
	Summary           reporting.LLMSummary               `json:"summary"`
}

type executionEvent struct {
	CallID            uint64                             `json:"call_id"`
	Context           structuredoutput.DiagnosticContext `json:"context"`
	Kind              string                             `json:"kind"`
	RunID             string                             `json:"run_id,omitempty"`
	Time              time.Time                          `json:"time"`
	BackendID         string                             `json:"backend_id,omitempty"`
	ProfileID         string                             `json:"profile_id,omitempty"`
	Model             string                             `json:"model,omitempty"`
	Generation        *uint64                            `json:"generation,omitempty"`
	Attempt           *uint64                            `json:"attempt,omitempty"`
	Dispatched        bool                               `json:"dispatched"`
	CapacityWaitMS    int64                              `json:"capacity_wait_ms"`
	GenerationMS      int64                              `json:"generation_ms"`
	RetryDelayMS      int64                              `json:"retry_delay_ms"`
	DurationMS        int64                              `json:"duration_ms"`
	Outcome           string                             `json:"outcome,omitempty"`
	Failure           string                             `json:"failure,omitempty"`
	StatusCode        int                                `json:"status_code,omitempty"`
	RetriesExhausted  bool                               `json:"retries_exhausted,omitempty"`
	Attempts          uint64                             `json:"attempts"`
	TransientRetries  uint64                             `json:"transient_retries"`
	StructuralRepairs uint64                             `json:"structural_repairs"`
	Usage             reporting.LLMUsage                 `json:"usage"`
}

// BuildLLMExecution serializes only safe observation fields and millisecond durations.
func BuildLLMExecution(snapshot llm.ObservationSnapshot) any {
	calls := make([]executionCall, 0, len(snapshot.Calls))
	events := make([]executionEvent, 0, len(snapshot.Events))
	eventsByCall := make(map[uint64][]llm.ExecutionObservation, len(snapshot.Calls))
	for _, event := range snapshot.Events {
		eventsByCall[event.CallID] = append(eventsByCall[event.CallID], event)
	}
	for _, call := range snapshot.Calls {
		group := llm.ObservationSnapshot{Calls: []llm.LogicalCall{call}, Events: eventsByCall[call.CallID]}
		var finished *time.Time
		if !call.Finished.IsZero() {
			value := call.Finished
			finished = &value
		}
		calls = append(calls, executionCall{RequestedPromptID: call.RequestedPromptID, CallID: call.CallID, Context: call.Context, Prompt: call.Prompt, Started: call.Started, Finished: finished, ElapsedMS: call.WallDuration.Milliseconds(), Failure: call.Failure, Summary: mapLLMSummary(llm.Summarize(group))})
	}
	for _, event := range snapshot.Events {
		var generation, attempt *uint64
		if event.Generation != 0 {
			value := event.Generation
			generation = &value
		}
		if event.Attempt != 0 {
			value := event.Attempt
			attempt = &value
		}
		events = append(events, executionEvent{CallID: event.CallID, Context: event.Context, Kind: event.Kind, RunID: event.RunID, Time: event.Time, BackendID: event.BackendID, ProfileID: event.ProfileID, Model: event.Model, Generation: generation, Attempt: attempt, Dispatched: event.Dispatched, CapacityWaitMS: event.CapacityWait.Milliseconds(), GenerationMS: event.GenerationDuration.Milliseconds(), RetryDelayMS: event.RetryDelay.Milliseconds(), DurationMS: event.Duration.Milliseconds(), Outcome: event.Outcome, Failure: event.Failure, StatusCode: event.StatusCode, RetriesExhausted: event.RetriesExhausted, Attempts: event.Attempts, TransientRetries: event.TransientRetries, StructuralRepairs: event.StructuralRepairs, Usage: mapLLMSummary(llm.ExecutionSummary{Usage: event.Usage}).Usage})
	}
	return struct {
		Calls  []executionCall  `json:"calls"`
		Events []executionEvent `json:"events"`
	}{calls, events}
}