ai

type AIScheduler struct {
	// contains filtered or unexported fields
}

type AcceptancePattern struct {
	TimeSlot    string  `json:"time_slot"`   // e.g., "Monday 9-11 AM"
	AcceptRate  float64 `json:"accept_rate"` // 0-1
	EventCount  int     `json:"event_count"` // Number of events in this slot
	Description string  `json:"description"` // Human-readable explanation
	Confidence  float64 `json:"confidence"`  // 0-1, based on sample size
}

type ActionItem struct {
	Subject string `json:"subject"`
	From    string `json:"from"`
	Urgency string `json:"urgency"` // high, medium, low
	Reason  string `json:"reason"`
}

type AnalysisPeriod struct {
	StartDate time.Time `json:"start_date"`
	EndDate   time.Time `json:"end_date"`
	Days      int       `json:"days"`
}

type BaseClient struct {
	// contains filtered or unexported fields
}

type ClaudeClient struct {
	*BaseClient
}

type DurationPattern struct {
	MeetingType       string `json:"meeting_type"`       // e.g., "1-on-1", "Team standup"
	ScheduledDuration int    `json:"scheduled_duration"` // In minutes
	ActualDuration    int    `json:"actual_duration"`    // In minutes
	Variance          int    `json:"variance"`           // Difference
	EventCount        int    `json:"event_count"`        // Sample size
	Description       string `json:"description"`        // Pattern description
}

type EmailAnalyzer struct {
	// contains filtered or unexported fields
}

type EmailCategory struct {
	Name     string   `json:"name"`
	Count    int      `json:"count"`
	Subjects []string `json:"subjects"`
}

type GroqClient struct {
	*BaseClient
}

type InboxSummaryRequest struct {
	Messages     []domain.Message
	ProviderName string // Optional: specific provider to use
}

type InboxSummaryResponse struct {
	Summary      string          `json:"summary"`
	Categories   []EmailCategory `json:"categories"`
	ActionItems  []ActionItem    `json:"action_items"`
	Highlights   []string        `json:"highlights"`
	ProviderUsed string          `json:"provider_used"`
	TokensUsed   int             `json:"tokens_used"`
}

type LearnPatternsRequest struct {
	GrantID          string  `json:"grant_id"`
	LookbackDays     int     `json:"lookback_days"`     // How far back to analyze
	MinConfidence    float64 `json:"min_confidence"`    // Minimum confidence threshold
	IncludeRecurring bool    `json:"include_recurring"` // Include recurring events
}

type OllamaClient struct {
	*BaseClient
}

type OpenAIClient struct {
	*BaseClient
}

type ParticipantTime struct {
	Email     string    `json:"email"`
	Timezone  string    `json:"timezone"`
	LocalTime time.Time `json:"local_time"`
	TimeDesc  string    `json:"time_desc"` // e.g., "9:00 AM - 10:00 AM EST"
	Notes     string    `json:"notes"`     // e.g., "Morning", "End of day"
}

type PatternLearner struct {
	// contains filtered or unexported fields
}

type ProductivityInsight struct {
	InsightType string   `json:"insight_type"` // e.g., "peak_focus", "low_energy"
	TimeSlot    string   `json:"time_slot"`    // e.g., "Tuesday 10 AM - 12 PM"
	Score       int      `json:"score"`        // 0-100
	Description string   `json:"description"`  // Explanation
	BasedOn     []string `json:"based_on"`     // What data this is based on
}

type Router struct {
	// contains filtered or unexported fields
}

type ScheduleOption struct {
	Rank         int                        `json:"rank"`
	Score        int                        `json:"score"`      // 0-100
	StartTime    time.Time                  `json:"start_time"` // Proposed start time
	EndTime      time.Time                  `json:"end_time"`   // Proposed end time
	Timezone     string                     `json:"timezone"`
	Reasoning    string                     `json:"reasoning"` // AI explanation
	Warnings     []string                   `json:"warnings"`
	Participants map[string]ParticipantTime `json:"participants"` // Participant views
}

type ScheduleRequest struct {
	Query        string // Natural language request
	GrantID      string // User's grant ID
	UserTimezone string // User's timezone
	MaxOptions   int    // Maximum number of options to return
}

type ScheduleResponse struct {
	Options      []ScheduleOption `json:"options"`
	Analysis     string           `json:"analysis"`      // AI's overall analysis
	ProviderUsed string           `json:"provider_used"` // Which LLM was used
	TokensUsed   int              `json:"tokens_used"`
}

type SchedulingPatterns struct {
	UserID               string                `json:"user_id"`
	AnalysisPeriod       AnalysisPeriod        `json:"analysis_period"`
	AcceptancePatterns   []AcceptancePattern   `json:"acceptance_patterns"`
	DurationPatterns     []DurationPattern     `json:"duration_patterns"`
	TimezonePatterns     []TimezonePattern     `json:"timezone_patterns"`
	ProductivityInsights []ProductivityInsight `json:"productivity_insights"`
	Recommendations      []string              `json:"recommendations"`
	TotalEventsAnalyzed  int                   `json:"total_events_analyzed"`
	GeneratedAt          time.Time             `json:"generated_at"`
}

type TimezonePattern struct {
	Timezone      string  `json:"timezone"`       // e.g., "America/New_York"
	EventCount    int     `json:"event_count"`    // Number of events
	Percentage    float64 `json:"percentage"`     // % of total events
	PreferredTime string  `json:"preferred_time"` // e.g., "2-4 PM PST"
	Description   string  `json:"description"`    // Pattern description
}