package service

import (
	"context"
	"strings"
)

// DiagnoseModelAvailabilityForPlatform reports whether the requested model
// is configured to be served by any OpenAI-compatible account in the group
// for the given platform (e.g. PlatformOpenAI, PlatformGrok). The platform
// scopes the candidate pool so distinct OpenAI-compatible platforms do not
// cross-contaminate diagnosis results.
//
// Safe to call on the error path: returns {true,true} on any internal
// failure or when the inputs preclude meaningful diagnosis (empty model,
// nil service), so callers stay on the 503 fallback branch.
func (s *OpenAIGatewayService) DiagnoseModelAvailabilityForPlatform(
	ctx context.Context,
	groupID *int64,
	requestedModel string,
	platform string,
) ModelAvailabilityDiagnosis {
	if s == nil {
		return ModelAvailabilityDiagnosis{HasAccountsInPool: true, HasModelSupport: true}
	}
	requestedModel = strings.TrimSpace(requestedModel)
	if requestedModel == "" {
		return ModelAvailabilityDiagnosis{HasAccountsInPool: true, HasModelSupport: true}
	}

	accounts, err := s.listSchedulableAccounts(ctx, groupID, platform)
	if err != nil {
		// Conservative fallback so the caller keeps returning 503; we do not
		// want a transient lookup failure to flip into 404 model_not_found.
		return ModelAvailabilityDiagnosis{HasAccountsInPool: true, HasModelSupport: true}
	}

	diag := ModelAvailabilityDiagnosis{}
	for i := range accounts {
		diag.HasAccountsInPool = true
		// Mirrors the per-candidate filter used during account selection
		// (openai_account_scheduler.isAccountRequestCompatible): empty
		// model_mapping accepts everything; otherwise the explicit / wildcard
		// mapping must match.
		if accounts[i].IsModelSupported(requestedModel) {
			diag.HasModelSupport = true
			return diag
		}
	}
	return diag
}