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59 lines
2.3 KiB
59 lines
2.3 KiB
from collections import defaultdict
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import jinja2
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from enum import Enum
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from natsort import natsorted
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from openpilot.selfdrive.car import gen_empty_fingerprint
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from openpilot.selfdrive.car.structs import CarParams
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from openpilot.selfdrive.car.docs_definitions import CarDocs, Column, CommonFootnote, PartType
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from openpilot.selfdrive.car.car_helpers import interfaces, get_interface_attr
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from openpilot.selfdrive.car.values import PLATFORMS
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def get_all_footnotes() -> dict[Enum, int]:
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all_footnotes = list(CommonFootnote)
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for footnotes in get_interface_attr("Footnote", ignore_none=True).values():
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all_footnotes.extend(footnotes)
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return {fn: idx + 1 for idx, fn in enumerate(all_footnotes)}
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def get_all_car_docs() -> list[CarDocs]:
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all_car_docs: list[CarDocs] = []
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footnotes = get_all_footnotes()
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for model, platform in PLATFORMS.items():
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car_docs = platform.config.car_docs
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# If available, uses experimental longitudinal limits for the docs
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CP = interfaces[model][0].get_params(platform, fingerprint=gen_empty_fingerprint(),
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car_fw=[CarParams.CarFw(ecu=CarParams.Ecu.unknown)], experimental_long=True, docs=True)
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if CP.dashcamOnly or not len(car_docs):
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continue
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# A platform can include multiple car models
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for _car_docs in car_docs:
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if not hasattr(_car_docs, "row"):
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_car_docs.init_make(CP)
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_car_docs.init(CP, footnotes)
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all_car_docs.append(_car_docs)
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# Sort cars by make and model + year
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sorted_cars: list[CarDocs] = natsorted(all_car_docs, key=lambda car: car.name.lower())
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return sorted_cars
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def group_by_make(all_car_docs: list[CarDocs]) -> dict[str, list[CarDocs]]:
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sorted_car_docs = defaultdict(list)
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for car_docs in all_car_docs:
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sorted_car_docs[car_docs.make].append(car_docs)
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return dict(sorted_car_docs)
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def generate_cars_md(all_car_docs: list[CarDocs], template_fn: str) -> str:
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with open(template_fn) as f:
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template = jinja2.Template(f.read(), trim_blocks=True, lstrip_blocks=True)
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footnotes = [fn.value.text for fn in get_all_footnotes()]
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cars_md: str = template.render(all_car_docs=all_car_docs, PartType=PartType,
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group_by_make=group_by_make, footnotes=footnotes,
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Column=Column)
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return cars_md
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