Files
sunnypilot/selfdrive/ui/layouts/settings/firehose.py
Andrei Radulescu 0a254fbc4e ui: avoid some raylib ui no dongleid errors (#35562)
avoid some ui.py errors on pc
2025-06-26 15:16:20 -07:00

181 lines
6.6 KiB
Python

import pyray as rl
import json
import time
import threading
from openpilot.common.api import Api, api_get
from openpilot.common.params import Params
from openpilot.common.swaglog import cloudlog
from openpilot.system.athena.registration import UNREGISTERED_DONGLE_ID
from openpilot.system.ui.lib.application import gui_app, FontWeight
from openpilot.system.ui.lib.wrap_text import wrap_text
from openpilot.system.ui.lib.scroll_panel import GuiScrollPanel
from openpilot.system.ui.lib.widget import Widget
from openpilot.selfdrive.ui.ui_state import ui_state
TITLE = "Firehose Mode"
DESCRIPTION = (
"openpilot learns to drive by watching humans, like you, drive.\n\n"
+ "Firehose Mode allows you to maximize your training data uploads to improve "
+ "openpilot's driving models. More data means bigger models, which means better Experimental Mode."
)
INSTRUCTIONS = (
"For maximum effectiveness, bring your device inside and connect to a good USB-C adapter and Wi-Fi weekly.\n\n"
+ "Firehose Mode can also work while you're driving if connected to a hotspot or unlimited SIM card.\n\n"
+ "Frequently Asked Questions\n\n"
+ "Does it matter how or where I drive? Nope, just drive as you normally would.\n\n"
+ "Do all of my segments get pulled in Firehose Mode? No, we selectively pull a subset of your segments.\n\n"
+ "What's a good USB-C adapter? Any fast phone or laptop charger should be fine.\n\n"
+ "Does it matter which software I run? Yes, only upstream openpilot (and particular forks) are able to be used for training."
)
class FirehoseLayout(Widget):
PARAM_KEY = "ApiCache_FirehoseStats"
GREEN = rl.Color(46, 204, 113, 255)
RED = rl.Color(231, 76, 60, 255)
GRAY = rl.Color(68, 68, 68, 255)
LIGHT_GRAY = rl.Color(228, 228, 228, 255)
UPDATE_INTERVAL = 30 # seconds
def __init__(self):
super().__init__()
self.params = Params()
self.segment_count = self._get_segment_count()
self.scroll_panel = GuiScrollPanel()
self.running = True
self.update_thread = threading.Thread(target=self._update_loop, daemon=True)
self.update_thread.start()
self.last_update_time = 0
def _get_segment_count(self) -> int:
stats = self.params.get(self.PARAM_KEY, encoding='utf8')
if not stats:
return 0
try:
return int(json.loads(stats).get("firehose", 0))
except Exception:
cloudlog.exception(f"Failed to decode firehose stats: {stats}")
return 0
def __del__(self):
self.running = False
if self.update_thread and self.update_thread.is_alive():
self.update_thread.join(timeout=1.0)
def _render(self, rect: rl.Rectangle):
# Calculate content dimensions
content_width = rect.width - 80
content_height = self._calculate_content_height(int(content_width))
content_rect = rl.Rectangle(rect.x, rect.y, rect.width, content_height)
# Handle scrolling and render with clipping
scroll_offset = self.scroll_panel.handle_scroll(rect, content_rect)
rl.begin_scissor_mode(int(rect.x), int(rect.y), int(rect.width), int(rect.height))
self._render_content(rect, scroll_offset)
rl.end_scissor_mode()
def _calculate_content_height(self, content_width: int) -> int:
height = 80 # Top margin
# Title
height += 100 + 40
# Description
desc_font = gui_app.font(FontWeight.NORMAL)
desc_lines = wrap_text(desc_font, DESCRIPTION, 45, content_width)
height += len(desc_lines) * 45 + 40
# Status section
height += 32 # Separator
status_text, _ = self._get_status()
status_lines = wrap_text(gui_app.font(FontWeight.BOLD), status_text, 60, content_width)
height += len(status_lines) * 60 + 20
# Contribution count (if available)
if self.segment_count > 0:
contrib_text = f"{self.segment_count} segment(s) of your driving is in the training dataset so far."
contrib_lines = wrap_text(gui_app.font(FontWeight.BOLD), contrib_text, 52, content_width)
height += len(contrib_lines) * 52 + 20
# Instructions section
height += 32 # Separator
inst_lines = wrap_text(gui_app.font(FontWeight.NORMAL), INSTRUCTIONS, 40, content_width)
height += len(inst_lines) * 40 + 40 # Bottom margin
return height
def _render_content(self, rect: rl.Rectangle, scroll_offset: rl.Vector2):
x = int(rect.x + 40)
y = int(rect.y + 40 + scroll_offset.y)
w = int(rect.width - 80)
# Title
title_font = gui_app.font(FontWeight.MEDIUM)
rl.draw_text_ex(title_font, TITLE, rl.Vector2(x, y), 100, 0, rl.WHITE)
y += 140
# Description
y = self._draw_wrapped_text(x, y, w, DESCRIPTION, gui_app.font(FontWeight.NORMAL), 45, rl.WHITE)
y += 40
# Separator
rl.draw_rectangle(x, y, w, 2, self.GRAY)
y += 30
# Status
status_text, status_color = self._get_status()
y = self._draw_wrapped_text(x, y, w, status_text, gui_app.font(FontWeight.BOLD), 60, status_color)
y += 20
# Contribution count (if available)
if self.segment_count > 0:
contrib_text = f"{self.segment_count} segment(s) of your driving is in the training dataset so far."
y = self._draw_wrapped_text(x, y, w, contrib_text, gui_app.font(FontWeight.BOLD), 52, rl.WHITE)
y += 20
# Separator
rl.draw_rectangle(x, y, w, 2, self.GRAY)
y += 30
# Instructions
self._draw_wrapped_text(x, y, w, INSTRUCTIONS, gui_app.font(FontWeight.NORMAL), 40, self.LIGHT_GRAY)
def _draw_wrapped_text(self, x, y, width, text, font, size, color):
wrapped = wrap_text(font, text, size, width)
for line in wrapped:
rl.draw_text_ex(font, line, rl.Vector2(x, y), size, 0, color)
y += size
return y
def _get_status(self) -> tuple[str, rl.Color]:
network_type = ui_state.sm["deviceState"].networkType
network_metered = ui_state.sm["deviceState"].networkMetered
if not network_metered and network_type != 0: # Not metered and connected
return "ACTIVE", self.GREEN
else:
return "INACTIVE: connect to an unmetered network", self.RED
def _fetch_firehose_stats(self):
try:
dongle_id = self.params.get("DongleId", encoding='utf8')
if not dongle_id or dongle_id == UNREGISTERED_DONGLE_ID:
return
identity_token = Api(dongle_id).get_token()
response = api_get(f"v1/devices/{dongle_id}/firehose_stats", access_token=identity_token)
if response.status_code == 200:
data = response.json()
self.segment_count = data.get("firehose", 0)
self.params.put(self.PARAM_KEY, json.dumps(data))
except Exception as e:
cloudlog.error(f"Failed to fetch firehose stats: {e}")
def _update_loop(self):
while self.running:
if not ui_state.started:
self._fetch_firehose_stats()
time.sleep(self.UPDATE_INTERVAL)