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import cProfile
import pstats
import os

from pathlib import Path
from datetime import datetime, timezone
from typing import Callable, Tuple

PROFILE_ENV_VAR = "TENSILE_PROFILE"

def profile(func: Callable) -> Callable:
    """Profiling decorator. 

    Add ``@profile`` to mark a function for profiling; set the environment variable 
    TENSILE_PROFILE=ON to enable profiling decorated functions.
    """
    if not envVariableIsSet(PROFILE_ENV_VAR):
        return func
    def wrapper(*args, **kwargs):
        path, filename = initProfileArtifacts(func.__name__)

        prof = cProfile.Profile()
        output = prof.runcall(func, *args, **kwargs)
        result = pstats.Stats(prof)
        result.sort_stats(pstats.SortKey.TIME)
        result.dump_stats(path/filename)

        return output
    return wrapper

def envVariableIsSet(varName: str) -> bool:
    """Checks if the provided environment variable is set to "ON", "TRUE", or "1"
    Args:
        varName: Environment variable name.
    Returns:
        True if the environment variable is set, otherwise False.
    """
    value = os.environ.get(varName, "").upper()
    return True if value in ["ON", "TRUE", "1"] else False

def initProfileArtifacts(funcName: str) -> Tuple[Path, str]:
    """Initializes filenames and paths for profiling artifacts based on the current datetime
    Args:
        funcName: The name of the function being profiled, nominally passed via func.__name__ 
    Returns:
        A tuple (path, filename) where the path is the artifact directory and filename is
        a .prof file with the profiling results.
    """
    dt = datetime.now(timezone.utc)
    filename = f"{funcName}-{dt.strftime('%Y-%m-%dT%H-%M-%SZ')}.prof"
    path = Path().cwd()/f"profiling-results-{dt.strftime('%Y-%m-%d')}"
    path.mkdir(exist_ok=True)
    return path, filename



