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BigCodeBench / BigCodeBench v0.1.0_hf f463ec42-4c5a-5887-8a63-c90824fa4f3d

Problem

Answer published by the source. Consult the official source to check your work against its answer.

complete prompt

import os
import pandas as pd
import re


def task_func(file_path: str) -> pd.DataFrame:
    """
    Parse a log file to extract log entries into a DataFrame.

    This function reads a log file line by line. The log file is assumed to follow this format
    for each entry: YYYY-MM-DD HH:MM:SS.ssssss - LEVEL - Message
    The function matches each line against a predefined regular expression to extract timestamp,
    log level, and message, ignoring lines where there is no match. It then aggregates the matched
    and extracted data into a pandas DataFrame with columns: 'Timestamp', 'Level', and 'Message'.
    If the logs are empty or there is no extracted data, this function returns an otherwise empty
    DataFrame containing the same expected columns.

    Parameters:
    - file_path (str): The path to the log file to be parsed.

    Returns:
    - pd.DataFrame: A DataFrame with columns 'Timestamp', 'Level', and 'Message'.

    Requirements:
    - re
    - os
    - pandas
    
    Raises:
    - FileNotFoundError: If the specified log file does not exist.
    
    Example:
    Given a log file with content:

Code

    2023-01-01 12:00:00.000000 - INFO - Application started
    2023-01-01 12:01:00.000000 - ERROR - Failed to connect to database
    
    >>> df = task_func("path_to_log_file.txt")
    >>> type(df)
    <class 'pandas.core.frame.DataFrame'>
    >>> df.iloc[0]
    Timestamp    2023-01-01 12:00:00.000000
    Level                               INFO
    Message                Application started
    Name: 0, dtype: object
    """

instruct prompt

Parse a log file to extract log entries into a DataFrame. This function reads a log file line by line. The log file is assumed to follow this format for each entry: YYYY-MM-DD HH:MM:SS.ssssss - LEVEL - Message The function matches each line against a predefined regular expression to extract timestamp, log level, and message, ignoring lines where there is no match. It then aggregates the matched and extracted data into a pandas DataFrame with columns: 'Timestamp', 'Level', and 'Message'. If the logs are empty or there is no extracted data, this function returns an otherwise empty DataFrame containing the same expected columns.
The function should raise the exception for: FileNotFoundError: If the specified log file does not exist.
The function should output with:
    pd.DataFrame: A DataFrame with columns 'Timestamp', 'Level', and 'Message'.
You should write self-contained code starting with:

Code

import os
import pandas as pd
import re
def task_func(file_path: str) -> pd.DataFrame:

code prompt

Code

import os
import pandas as pd
import re
def task_func(file_path: str) -> pd.DataFrame:

entry point

task_func

libs

  • pandas
  • re
  • os

Discussion

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Source and history

task_id
f463ec42-4c5a-5887-8a63-c90824fa4f3d
task_key
default--v0~2e1~2e0~5fhf--f463ec42-4c5a-5887-8a63-c90824fa4f3d
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import