166 lines
4.4 KiB
Python
166 lines
4.4 KiB
Python
from datetime import datetime, timezone
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from enum import Enum
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from pathlib import Path
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from typing import Any, Dict, List, Type
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from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator
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from joj3_config_generator.models.common import Memory, Time
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from joj3_config_generator.models.const import (
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DEFAULT_CASE_SCORE,
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DEFAULT_CPU_LIMIT,
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DEFAULT_FILE_LIMIT,
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DEFAULT_MEMORY_LIMIT,
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DEFAULT_PROC_LIMIT,
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)
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class ParserResultDetail(BaseModel):
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cpu_time: bool = True # Display CPU time
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time: bool = True # Display run time
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mem: bool = True # Display memory usage
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stdout: bool = False # Display stdout messages
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stderr: bool = False # Display stderr messages
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exit_status: bool = True
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class ParserFile(BaseModel):
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name: str = ""
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class ParserLog(BaseModel):
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filename: str
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msg: str = ""
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level: str = ""
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class ParserDummy(BaseModel):
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comment: str = ""
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score: int = 0
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force_quit: bool = False
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class ParserKeyword(BaseModel):
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keyword: List[str] = []
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weight: List[int] = []
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class Outputs(BaseModel):
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score: int = 0
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ignore_spaces: bool = True
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hide: bool = False
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force_quit: bool = False
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class ParserDiff(BaseModel):
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output: Outputs = Outputs()
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default_score: int = DEFAULT_CASE_SCORE
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class Files(BaseModel):
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import_: List[str] = Field([], alias="import")
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export: List[str] = []
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class Limit(BaseModel):
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mem: int = DEFAULT_MEMORY_LIMIT
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cpu: int = DEFAULT_CPU_LIMIT
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stdout: int = DEFAULT_FILE_LIMIT
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stderr: int = DEFAULT_FILE_LIMIT
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proc: int = DEFAULT_PROC_LIMIT
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model_config = ConfigDict(validate_assignment=True)
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@field_validator("cpu", mode="before")
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@classmethod
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def ensure_time(cls, v: Any) -> Time:
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if isinstance(v, str):
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return Time(v)
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raise ValueError("Must be a string")
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@field_validator("mem", "stdout", "stderr", mode="before")
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@classmethod
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def ensure_mem(cls, v: Any) -> Memory:
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if isinstance(v, str):
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return Memory(v)
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raise ValueError("Must be a string")
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class Parser(str, Enum):
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CLANG_TIDY = "clangtidy"
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CPPCHECK = "cppcheck"
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CPPLINT = "cpplint"
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KEYWORD = "keyword"
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RESULT_STATUS = "result-status"
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RESULT_DETAIL = "result-detail"
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DUMMY = "dummy"
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FILE = "file"
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DIFF = "diff"
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ELF = "elf"
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class Stage(BaseModel):
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name: str = "" # Stage name
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env: List[str] = []
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command: str = "" # Command to run
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files: Files = Files()
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in_: str = Field("", alias="in")
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out_: str = Field("", alias="out")
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copy_in_cwd: bool = True
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score: int = 0
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parsers: List[Parser] = [] # list of parsers
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limit: Limit = Limit()
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dummy: ParserDummy = ParserDummy()
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result_status: ParserDummy = Field(ParserDummy(), alias="result-status")
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keyword: ParserKeyword = ParserKeyword()
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clangtidy: ParserKeyword = ParserKeyword()
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cppcheck: ParserKeyword = ParserKeyword()
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cpplint: ParserKeyword = ParserKeyword()
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elf: ParserKeyword = ParserKeyword()
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result_detail: ParserResultDetail = Field(
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ParserResultDetail(), alias="result-detail"
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)
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file: ParserFile = ParserFile()
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skip: List[str] = []
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# cases related
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cases: Dict[str, "Stage"] = {}
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diff: ParserDiff = ParserDiff()
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model_config = ConfigDict(extra="allow")
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@model_validator(mode="before")
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@classmethod
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def gather_cases(cls: Type["Stage"], values: Dict[str, Any]) -> Dict[str, Any]:
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cases = {k: v for k, v in values.items() if k.startswith("case")}
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limit = values.get("limit", {})
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parsed_cases = {}
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for key, case in cases.items():
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case_with_limit = {**limit, **case.get("limit", {})}
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case_for_parsing = {**case, "limit": case_with_limit}
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parsed_cases[key] = case_for_parsing
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values.pop(key)
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values["cases"] = parsed_cases
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return values
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class Release(BaseModel):
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end_time: datetime = datetime(
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1970, 1, 1, 0, 0, 0, tzinfo=timezone.utc
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) # timestamp = 0, no end time
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begin_time: datetime = datetime(
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1970, 1, 1, 0, 0, 0, tzinfo=timezone.utc
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) # timestamp = 0, no begin time
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class Task(BaseModel):
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name: str = "unknown"
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class Config(BaseModel):
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root: Path = Path(".")
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path: Path = Path("task.toml")
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task: Task = Task() # Task name (e.g., hw3 ex5)
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release: Release = Release() # Release configuration
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stages: List[Stage] = [] # list of stage configurations
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