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							78 lines
						
					
					
						
							3.0 KiB
						
					
					
				
			
		
		
	
	
							78 lines
						
					
					
						
							3.0 KiB
						
					
					
				#!/usr/bin/env python3
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import argparse
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import jinja2
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import os
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from enum import Enum
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from natsort import natsorted
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from typing import Dict, List
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from common.basedir import BASEDIR
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from selfdrive.car.docs_definitions import STAR_DESCRIPTIONS, StarColumns, TierColumns, CarInfo, Column, Star
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from selfdrive.car.car_helpers import interfaces, get_interface_attr
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from selfdrive.car.hyundai.radar_interface import RADAR_START_ADDR as HKG_RADAR_START_ADDR
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def get_all_footnotes() -> Dict[Enum, int]:
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  all_footnotes = []
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  for footnotes in get_interface_attr("Footnote", ignore_none=True).values():
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    all_footnotes += footnotes
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  return {fn: idx + 1 for idx, fn in enumerate(all_footnotes)}
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ALL_FOOTNOTES: Dict[Enum, int] = get_all_footnotes()
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CARS_MD_OUT = os.path.join(BASEDIR, "docs", "CARS.md")
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CARS_MD_TEMPLATE = os.path.join(BASEDIR, "selfdrive", "car", "CARS_template.md")
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def get_all_car_info() -> List[CarInfo]:
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  all_car_info: List[CarInfo] = []
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  for model, car_info in get_interface_attr("CAR_INFO", combine_brands=True).items():
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    # Hyundai exception: those with radar have openpilot longitudinal
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    fingerprint = {0: {}, 1: {HKG_RADAR_START_ADDR: 8}, 2: {}, 3: {}}
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    CP = interfaces[model][0].get_params(model, fingerprint=fingerprint, disable_radar=True)
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    if CP.dashcamOnly or car_info is None:
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      continue
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    # A platform can include multiple car models
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    if not isinstance(car_info, list):
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      car_info = (car_info,)
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    for _car_info in car_info:
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      all_car_info.append(_car_info.init(CP, ALL_FOOTNOTES))
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  # Sort cars by make and model + year
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  sorted_cars: List[CarInfo] = natsorted(all_car_info, key=lambda car: car.name.lower())
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  return sorted_cars
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def generate_cars_md(all_car_info: List[CarInfo], template_fn: str, only_tier_cols: bool) -> str:
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  with open(template_fn, "r") as f:
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    template = jinja2.Template(f.read(), trim_blocks=True, lstrip_blocks=True)
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  cols = list(Column)
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  if only_tier_cols:
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    hide_cols = set(StarColumns) - set(TierColumns)
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    cols = [c for c in cols if c not in hide_cols]
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    for car in all_car_info:
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      for c in hide_cols:
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        del car.row[c]
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  footnotes = [fn.value.text for fn in ALL_FOOTNOTES]
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  cars_md: str = template.render(all_car_info=all_car_info,
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                                 footnotes=footnotes, Star=Star, Column=cols, star_descriptions=STAR_DESCRIPTIONS)
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  return cars_md
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if __name__ == "__main__":
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  parser = argparse.ArgumentParser(description="Auto generates supported cars documentation",
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                                   formatter_class=argparse.ArgumentDefaultsHelpFormatter)
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  parser.add_argument("--tier-columns", action="store_true", help="Include only columns that count in the tier")
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  parser.add_argument("--template", default=CARS_MD_TEMPLATE, help="Override default template filename")
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  parser.add_argument("--out", default=CARS_MD_OUT, help="Override default generated filename")
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  args = parser.parse_args()
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  with open(args.out, 'w') as f:
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    f.write(generate_cars_md(get_all_car_info(), args.template, args.tier_columns))
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  print(f"Generated and written to {args.out}")
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