using GB5Shared.DTO.Framework.Login;
using GB5Shared.Resource.Response;
using PIEBLL.Proposal;
using PIEDAL.DTO.Proposal;

namespace PIEBLL.Signal;

/// <summary>
/// Phase 2 stub — Signal detection and pattern analysis.
/// Full implementation requires:
///   OI-18: IAICapabilityService → EapAICapabilityService
///   OI-19: PIEKnowledgeClient for KMS-linked content
///   AEO gap detection spec finalisation
/// </summary>
public class PIESignalBLL : IPIESignalBLL
{
    private readonly IPIEProposalBLL _ProposalBLL;

    public PIESignalBLL(IPIEProposalBLL proposalBLL)
    {
        _ProposalBLL = proposalBLL;
    }

    // ── Phase 2 stubs ─────────────────────────────────────────────────────────

    public Task ProcessEngagementCompletedAsync(
        Guid engagementId, LoginDTO login, CancellationToken ct)
    {
        // Phase 2: fetch engagement outcomes via IDMS Dapr event payload,
        // record pie_outcome rows, update deviation confidence data,
        // run pattern detection using IAICapabilityService.
        return Task.CompletedTask;
    }

    public Task ProcessGoLiveDeclaredAsync(
        Guid engagementId, LoginDTO login, CancellationToken ct)
    {
        // Phase 2: trigger signal analysis, emit pie.signal.detected if gap found,
        // call CreateAeoGapProposalAsync when threshold breached.
        return Task.CompletedTask;
    }

    public async Task<string> CreateAeoGapProposalAsync(
        PIELearningProposalDTO dto, LoginDTO login, CancellationToken ct)
    {
        // Delegates to the standard proposal pipeline;
        // Phase 2 will enrich dto with AI-generated description via IAICapabilityService.
        return await _ProposalBLL.CreatePIEProposalAsync(dto, login, ct).ConfigureAwait(false);
    }
}