#!/usr/bin/env python3
from openpilot.common.filter_simple import FirstOrderFilter
from openpilot.common.realtime import DT_MDL

from openpilot.frogpilot.common.frogpilot_variables import CITY_SPEED_LIMIT, CRUISING_SPEED, THRESHOLD, params_memory

class ConditionalExperimentalMode:
  def __init__(self, FrogPilotPlanner):
    self.frogpilot_planner = FrogPilotPlanner

    self.curvature_filter = FirstOrderFilter(0, 1, DT_MDL)
    self.slow_lead_filter = FirstOrderFilter(0, 1, DT_MDL)
    self.stop_light_filter = FirstOrderFilter(0, 0.5, DT_MDL)

    self.curve_detected = False
    self.experimental_mode = False
    self.stop_light_detected = False

  def update(self, v_ego, sm, frogpilot_toggles):
    if frogpilot_toggles.experimental_mode_via_press:
      self.status_value = params_memory.get_int("CEStatus")
    else:
      self.status_value = 0

    if self.status_value not in {1, 2} and not sm["carState"].standstill:
      self.update_conditions(v_ego, sm, frogpilot_toggles)

      self.experimental_mode = self.check_conditions(v_ego, sm, frogpilot_toggles)

      params_memory.put_int("CEStatus", self.status_value if self.experimental_mode else 0)
    else:
      self.experimental_mode = self.status_value == 2 or sm["carState"].standstill and self.experimental_mode and self.frogpilot_planner.model_stopped
      self.stop_light_detected &= self.status_value not in {1, 2}
      self.stop_light_filter.x = 0

  def check_conditions(self, v_ego, sm, frogpilot_toggles):
    below_speed = frogpilot_toggles.conditional_limit > v_ego >= 1 and not self.frogpilot_planner.frogpilot_following.following_lead
    below_speed_with_lead = frogpilot_toggles.conditional_limit_lead > v_ego >= 1 and self.frogpilot_planner.frogpilot_following.following_lead
    if below_speed or below_speed_with_lead:
      self.status_value = 3 if self.frogpilot_planner.frogpilot_following.following_lead else 4
      return True

    desired_lane = self.frogpilot_planner.lane_width_left if sm["carState"].leftBlinker else self.frogpilot_planner.lane_width_right
    lane_available = desired_lane >= frogpilot_toggles.lane_detection_width or not frogpilot_toggles.conditional_signal_lane_detection
    if v_ego < frogpilot_toggles.conditional_signal and (sm["carState"].leftBlinker or sm["carState"].rightBlinker) and not lane_available:
      self.status_value = 5
      return True

    approaching_maneuver = sm["frogpilotNavigation"].approachingIntersection or sm["frogpilotNavigation"].approachingTurn
    if frogpilot_toggles.conditional_navigation and approaching_maneuver and (frogpilot_toggles.conditional_navigation_lead or not self.frogpilot_planner.frogpilot_following.following_lead):
      self.status_value = 6 if sm["frogpilotNavigation"].approachingIntersection else 7
      return True

    if frogpilot_toggles.conditional_curves and self.curve_detected and (frogpilot_toggles.conditional_curves_lead or not self.frogpilot_planner.frogpilot_following.following_lead):
      self.status_value = 8
      return True

    if frogpilot_toggles.conditional_lead and self.slow_lead_detected:
      self.status_value = 9 if self.frogpilot_planner.lead_one.vLead < 1 else 10
      return True

    if frogpilot_toggles.conditional_model_stop_time != 0 and self.stop_light_detected:
      self.status_value = 11 if not self.frogpilot_planner.frogpilot_vcruise.forcing_stop else 12
      return True

    if self.frogpilot_planner.frogpilot_vcruise.slc.experimental_mode:
      self.status_value = 13
      return True

    return False

  def update_conditions(self, v_ego, sm, frogpilot_toggles):
    self.curve_detection(v_ego, frogpilot_toggles)
    self.slow_lead(frogpilot_toggles)
    self.stop_sign_and_light(v_ego, sm, frogpilot_toggles.conditional_model_stop_time)

  def curve_detection(self, v_ego, frogpilot_toggles):
    self.curvature_filter.update(self.frogpilot_planner.road_curvature_detected or self.frogpilot_planner.driving_in_curve)
    self.curve_detected = self.curvature_filter.x >= THRESHOLD and v_ego > CRUISING_SPEED

  def slow_lead(self, frogpilot_toggles):
    if self.frogpilot_planner.tracking_lead:
      slower_lead = frogpilot_toggles.conditional_slower_lead and self.frogpilot_planner.frogpilot_following.slower_lead
      stopped_lead = frogpilot_toggles.conditional_stopped_lead and self.frogpilot_planner.lead_one.vLead < 1

      self.slow_lead_filter.update(slower_lead or stopped_lead)
      self.slow_lead_detected = self.slow_lead_filter.x >= THRESHOLD
    else:
      self.slow_lead_filter.x = 0
      self.slow_lead_detected = False

  def stop_sign_and_light(self, v_ego, sm, model_time):
    if not sm["frogpilotCarState"].trafficModeEnabled:
      model_stopping = self.frogpilot_planner.model_length < v_ego * model_time

      self.stop_light_filter.update(self.frogpilot_planner.model_stopped or model_stopping)
      self.stop_light_detected = self.stop_light_filter.x >= THRESHOLD and not self.frogpilot_planner.tracking_lead
    else:
      self.stop_light_filter.x = 0
      self.stop_light_detected = False