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							157 lines
						
					
					
						
							5.9 KiB
						
					
					
				
			
		
		
	
	
							157 lines
						
					
					
						
							5.9 KiB
						
					
					
				import pyray as rl
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import time
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import threading
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from openpilot.common.api import api_get
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from openpilot.common.params import Params
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from openpilot.common.swaglog import cloudlog
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from openpilot.selfdrive.ui.ui_state import ui_state
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from openpilot.system.athena.registration import UNREGISTERED_DONGLE_ID
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from openpilot.system.ui.lib.application import gui_app, FontWeight, FONT_SCALE
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from openpilot.system.ui.lib.text_measure import measure_text_cached
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from openpilot.system.ui.lib.scroll_panel import GuiScrollPanel
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from openpilot.system.ui.lib.wrap_text import wrap_text
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from openpilot.system.ui.widgets import Widget
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from openpilot.selfdrive.ui.lib.api_helpers import get_token
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TITLE = "Firehose Mode"
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DESCRIPTION = (
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  "openpilot learns to drive by watching humans, like you, drive.\n\n"
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  + "Firehose Mode allows you to maximize your training data uploads to improve "
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  + "openpilot's driving models. More data means bigger models, which means better Experimental Mode."
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)
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INSTRUCTIONS = (
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  "For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.\n\n"
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  + "Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.\n\n\n"
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  + "Frequently Asked Questions\n\n"
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  + "Does it matter how or where I drive? Nope, just drive as you normally would.\n\n"
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  + "Do all of my segments get pulled in Firehose Mode? No, we selectively pull a subset of your segments.\n\n"
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  + "What's a good USB-C adapter? Any fast phone or laptop charger should be fine.\n\n"
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  + "Does it matter which software I run? Yes, only upstream openpilot (and particular forks) are able to be used for training."
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)
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class FirehoseLayout(Widget):
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  PARAM_KEY = "ApiCache_FirehoseStats"
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  GREEN = rl.Color(46, 204, 113, 255)
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  RED = rl.Color(231, 76, 60, 255)
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  GRAY = rl.Color(68, 68, 68, 255)
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  LIGHT_GRAY = rl.Color(228, 228, 228, 255)
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  UPDATE_INTERVAL = 30  # seconds
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  def __init__(self):
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    super().__init__()
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    self.params = Params()
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    self.segment_count = self._get_segment_count()
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    self.scroll_panel = GuiScrollPanel()
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    self._content_height = 0
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    self.running = True
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    self.update_thread = threading.Thread(target=self._update_loop, daemon=True)
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    self.update_thread.start()
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    self.last_update_time = 0
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  def show_event(self):
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    self.scroll_panel.set_offset(0)
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  def _get_segment_count(self) -> int:
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    stats = self.params.get(self.PARAM_KEY)
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    if not stats:
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      return 0
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    try:
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      return int(stats.get("firehose", 0))
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    except Exception:
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      cloudlog.exception(f"Failed to decode firehose stats: {stats}")
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      return 0
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  def __del__(self):
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    self.running = False
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    if self.update_thread and self.update_thread.is_alive():
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      self.update_thread.join(timeout=1.0)
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  def _render(self, rect: rl.Rectangle):
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    # Calculate content dimensions
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    content_rect = rl.Rectangle(rect.x, rect.y, rect.width, self._content_height)
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    # Handle scrolling and render with clipping
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    scroll_offset = self.scroll_panel.update(rect, content_rect)
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    rl.begin_scissor_mode(int(rect.x), int(rect.y), int(rect.width), int(rect.height))
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    self._content_height = self._render_content(rect, scroll_offset)
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    rl.end_scissor_mode()
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  def _render_content(self, rect: rl.Rectangle, scroll_offset: float) -> int:
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    x = int(rect.x + 40)
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    y = int(rect.y + 40 + scroll_offset)
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    w = int(rect.width - 80)
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    # Title (centered)
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    title_font = gui_app.font(FontWeight.MEDIUM)
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    text_width = measure_text_cached(title_font, TITLE, 100).x
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    title_x = rect.x + (rect.width - text_width) / 2
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    rl.draw_text_ex(title_font, TITLE, rl.Vector2(title_x, y), 100, 0, rl.WHITE)
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    y += 200
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    # Description
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    y = self._draw_wrapped_text(x, y, w, DESCRIPTION, gui_app.font(FontWeight.NORMAL), 45, rl.WHITE)
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    y += 40 + 20
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    # Separator
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    rl.draw_rectangle(x, y, w, 2, self.GRAY)
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    y += 30 + 20
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    # Status
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    status_text, status_color = self._get_status()
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    y = self._draw_wrapped_text(x, y, w, status_text, gui_app.font(FontWeight.BOLD), 60, status_color)
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    y += 20 + 20
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    # Contribution count (if available)
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    if self.segment_count > 0:
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      contrib_text = f"{self.segment_count} segment(s) of your driving is in the training dataset so far."
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      y = self._draw_wrapped_text(x, y, w, contrib_text, gui_app.font(FontWeight.BOLD), 52, rl.WHITE)
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      y += 20 + 20
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    # Separator
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    rl.draw_rectangle(x, y, w, 2, self.GRAY)
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    y += 30 + 20
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    # Instructions
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    y = self._draw_wrapped_text(x, y, w, INSTRUCTIONS, gui_app.font(FontWeight.NORMAL), 40, self.LIGHT_GRAY)
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    # bottom margin + remove effect of scroll offset
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    return int(round(y - self.scroll_panel.offset + 40))
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  def _draw_wrapped_text(self, x, y, width, text, font, font_size, color):
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    wrapped = wrap_text(font, text, font_size, width)
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    for line in wrapped:
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      rl.draw_text_ex(font, line, rl.Vector2(x, y), font_size, 0, color)
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      y += font_size * FONT_SCALE
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    return round(y)
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  def _get_status(self) -> tuple[str, rl.Color]:
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    network_type = ui_state.sm["deviceState"].networkType
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    network_metered = ui_state.sm["deviceState"].networkMetered
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    if not network_metered and network_type != 0:  # Not metered and connected
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      return "ACTIVE", self.GREEN
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    else:
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      return "INACTIVE: connect to an unmetered network", self.RED
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  def _fetch_firehose_stats(self):
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    try:
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      dongle_id = self.params.get("DongleId")
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      if not dongle_id or dongle_id == UNREGISTERED_DONGLE_ID:
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        return
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      identity_token = get_token(dongle_id)
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      response = api_get(f"v1/devices/{dongle_id}/firehose_stats", access_token=identity_token)
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      if response.status_code == 200:
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        data = response.json()
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        self.segment_count = data.get("firehose", 0)
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        self.params.put(self.PARAM_KEY, data)
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    except Exception as e:
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      cloudlog.error(f"Failed to fetch firehose stats: {e}")
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  def _update_loop(self):
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    while self.running:
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      if not ui_state.started:
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        self._fetch_firehose_stats()
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      time.sleep(self.UPDATE_INTERVAL)
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