parent
e015e319b7
commit
08aeeabc9b
4 changed files with 224 additions and 53 deletions
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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, 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.system.ui.lib.application import gui_app, Widget, FontWeight |
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from openpilot.system.ui.lib.wrap_text import wrap_text |
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from openpilot.system.ui.lib.scroll_panel import GuiScrollPanel |
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from openpilot.selfdrive.ui.ui_state import ui_state |
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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" |
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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 = int(self.params.get(self.PARAM_KEY, encoding='utf8') or 0) |
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self.scroll_panel = GuiScrollPanel() |
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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 __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_width = rect.width - 80 |
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content_height = self._calculate_content_height(int(content_width)) |
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content_rect = rl.Rectangle(rect.x, rect.y, rect.width, content_height) |
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# Handle scrolling and render with clipping |
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scroll_offset = self.scroll_panel.handle_scroll(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._render_content(rect, scroll_offset) |
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rl.end_scissor_mode() |
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def _calculate_content_height(self, content_width: int) -> int: |
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height = 80 # Top margin |
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# Title |
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height += 100 + 40 |
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# Description |
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desc_font = gui_app.font(FontWeight.NORMAL) |
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desc_lines = wrap_text(desc_font, DESCRIPTION, 45, content_width) |
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height += len(desc_lines) * 45 + 40 |
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# Status section |
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height += 32 # Separator |
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status_text, _ = self._get_status() |
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status_lines = wrap_text(gui_app.font(FontWeight.BOLD), status_text, 60, content_width) |
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height += len(status_lines) * 60 + 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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contrib_lines = wrap_text(gui_app.font(FontWeight.BOLD), contrib_text, 52, content_width) |
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height += len(contrib_lines) * 52 + 20 |
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# Instructions section |
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height += 32 # Separator |
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inst_lines = wrap_text(gui_app.font(FontWeight.NORMAL), INSTRUCTIONS, 40, content_width) |
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height += len(inst_lines) * 40 + 40 # Bottom margin |
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return height |
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def _render_content(self, rect: rl.Rectangle, scroll_offset: rl.Vector2): |
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x = int(rect.x + 40) |
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y = int(rect.y + 40 + scroll_offset.y) |
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w = int(rect.width - 80) |
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# Title |
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title_font = gui_app.font(FontWeight.MEDIUM) |
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rl.draw_text_ex(title_font, TITLE, rl.Vector2(x, y), 100, 0, rl.WHITE) |
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y += 140 |
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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 |
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# Separator |
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rl.draw_rectangle(x, y, w, 2, self.GRAY) |
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y += 30 |
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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 |
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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 |
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# Separator |
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rl.draw_rectangle(x, y, w, 2, self.GRAY) |
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y += 30 |
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# Instructions |
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self._draw_wrapped_text(x, y, w, INSTRUCTIONS, gui_app.font(FontWeight.NORMAL), 40, self.LIGHT_GRAY) |
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def _draw_wrapped_text(self, x, y, width, text, font, size, color): |
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wrapped = wrap_text(font, text, size, width) |
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for line in wrapped: |
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rl.draw_text_ex(font, line, rl.Vector2(x, y), size, 0, color) |
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y += size |
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return 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", encoding='utf8') or "" |
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identity_token = Api(dongle_id).get_token() |
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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, str(self.segment_count)) |
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except Exception as e: |
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cloudlog.debug(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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