from dataclasses import dataclass, field
from typing import List, Dict, Any, Optional

from domain.training.run import Run
from domain.training.weekly_snapshot import WeeklySnapshot
from domain.training.weekly_trend import WeeklyTrend
from domain.runner.profile import RunnerProfile
from domain.training.training_recommendation import TrainingRecommendation
from domain.goals.goal_trajectory import GoalTrajectory
from core.intelligence.runner_intelligence_snapshot import RunnerIntelligenceSnapshot

from application.positioning_service import WeeklyPositioning


@dataclass
class PipelineContext:
    """
    Explicit, typed data contract for the Runner pipeline.
    Eliminates dynamic field attachments and implicit state.
    """

    # Inputs
    runs: List[Any] = field(default_factory=list)
    language: str = "en"
    runner_profile: Optional[RunnerProfile] = None
    active_goal: Optional[Any] = None

    # Session state
    sessions: Dict[Any, WeeklySnapshot] = field(default_factory=dict)

    # Computed training data
    weekly_snapshot: Optional[WeeklySnapshot] = None
    weekly_trend: Optional[WeeklyTrend] = None

    # Positioning layer
    positioning: Optional[WeeklyPositioning] = None
    recommendation: Optional[TrainingRecommendation] = None
    goal_trajectory: Optional[GoalTrajectory] = None

    # Intelligence outputs
    insights: Dict[str, Any] = field(default_factory=dict)
    plan: Optional[str] = None
    summary: Optional[Dict[str, Any]] = None
    trends: Optional[Any] = None
    risk_assessment: Optional[Any] = None
    intelligence_snapshot: Optional[RunnerIntelligenceSnapshot] = None

    # Intelligence Cache (for reuse)
    last_positioning: Optional[Any] = None
    last_insights: Dict[str, Any] = field(default_factory=dict)
    last_plan: Optional[str] = None
    last_brief: Optional[str] = None
    last_focus: Optional[str] = None

    # Visualization
    charts: Dict[str, Any] = field(default_factory=dict)

    # Comparison
    period_comparison: Optional[Any] = None