mirror of https://github.com/stijndcl/didier
Update compbio leaderboard to assignment 4
parent
b156f90ea0
commit
0151913e61
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@ -6,6 +6,7 @@ files/lost.json
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files/locked.json
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files/ufora_notifications.json
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files/compbio_benchmarks_2.json
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files/compbio_benchmarks_4.json
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.idea/
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__pycache__
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.env
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@ -91,9 +91,10 @@ class SchoolSlash(commands.Cog):
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@_compbio_group.command(name="leaderboard", description="Gesorteerd en ingevuld leaderboard")
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async def _compbio_lb_slash(self, ctx: ApplicationContext,
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benchmark: Option(int, "De specifieke benchmark om op te halen (default k=600)", choices=[6, 10, 50, 600], default=600)):
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benchmark: Option(str, "De specifieke benchmark om op te halen (default 10000-10)", choices=["100-10", "100-100", "1000-100", "10000-10"], default="10000-10")):
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await ctx.response.defer()
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lb = leaderboards.CompbioLeaderboard(ctx, kmer=benchmark)
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size, amount = benchmark.split("-")
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lb = leaderboards.CompbioLeaderboard(ctx, size=size, amount=amount)
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await lb.respond()
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@_compbio_group.command(name="submit", description="Link een Dodona-submission aan jouw username")
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@ -123,16 +123,17 @@ class BitcoinLeaderboard(Leaderboard):
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@dataclass
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class CompbioLeaderboard(Leaderboard):
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colour: discord.Colour = field(default=discord.Colour.green())
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title: str = field(default="Leaderboard Computationele Biologie #2")
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title: str = field(default="Leaderboard Computationele Biologie #4")
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reverse: bool = False
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kmer: int = 600
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size: int = 10000
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amount: int = 10
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def __post_init__(self):
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self.title += f" (k = {self.kmer})"
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self.title += f" ({self.size}-{self.amount})"
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super().__post_init__()
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def get_submission_user(self, submission_id: str) -> str:
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with open("files/compbio_benchmarks_2.json", "r") as fp:
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with open("files/compbio_benchmarks_4.json", "r") as fp:
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file = json.load(fp)
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if submission_id in file:
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@ -142,14 +143,7 @@ class CompbioLeaderboard(Leaderboard):
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return f"[# {submission_id}]"
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def get_data(self) -> list[tuple]:
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files = {
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6: "J02459.1",
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10: "J02459.1",
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50: "J02459.1",
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600: "AF033819.3"
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}
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url = f"https://github.ugent.be/raw/computationele-biologie/benchmarks-2022/main/reconstruction/{files[self.kmer]}.{self.kmer}mers.md"
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url = f"https://github.ugent.be/raw/computationele-biologie/benchmarks-2022/tree/main/profile_hmm/size{self.size}-amount{self.amount}.md"
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headers = {"Authorization": f"token {settings.UGENT_GH_TOKEN}"}
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result = requests.get(url, headers=headers).text
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