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BigCodeBench / BigCodeBench v0.1.0_hf fb8f39e3-8392-575c-9933-fb847f1f14e9

Problem

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

complete prompt

import requests
import pandas as pd
from bs4 import BeautifulSoup


def task_func(url: str, csv_file_path: str) -> list:
    """
    Extracts title, date, and author information from a webpage and writes the data to a CSV file.

    The function iterates through each 'div' element with a class 'container', extracting the text of 'h1', and 'span' elements with classes 
    'date' and 'author', respectively. Default values ('No Title', 'No Date', or 'No Author') are used if an element is 
    not found. The extracted data is stored in a list of tuples.

    The list of tuples is then converted into a Pandas DataFrame and saved to a CSV file at the specified file path. 
    The DataFrame's columns are labeled as 'Title', 'Date', and 'Author'. The function returns the list of tuples.

    Raises:
    - RuntimeError: If the URL is incorrect or the server is down, the error message might be "Error fetching URL: HTTP Error 404: Not Found" 
    or "Error fetching URL: ConnectionError". The function begins by making an HTTP request to the specified URL. It sets a timeout of 5 seconds to avoid 
    prolonged waiting in case of unresponsive webpages. If the request encounters any exceptions such as connection errors, timeouts, or HTTP errors, a 'requests.RequestException' is raised. 
    The function raises a '' with a message that includes the details of the exception. For example,, depending on the specific issue encountered.
    Parameters:

    Parameters:
    - url (str): The URL of the webpage to be parsed.
    - csv_file_path (str): The path where the resulting CSV file will be saved.

    Returns:
    list: A list of tuples containing the (title, date, author) extracted from the webpage. Default placeholders 
          are used for missing information.

    Requirements:
    - requests
    - bs4
    - pandas

    Example:
    >>> data = task_func('https://example.com/articles', '/path/to/save/csv/file.csv')
    >>> type(data)
    <class 'list'>
    >>> len(data) > 0
    True
    """

instruct prompt

Extracts title, date, and author information from a webpage and writes the data to a CSV file. The function iterates through each 'div' element with a class 'container', extracting the text of 'h1', and 'span' elements with classes 'date' and 'author', respectively. Default values ('No Title', 'No Date', or 'No Author') are used if an element is not found. The extracted data is stored in a list of tuples. The list of tuples is then converted into a Pandas DataFrame and saved to a CSV file at the specified file path. The DataFrame's columns are labeled as 'Title', 'Date', and 'Author'. The function returns the list of tuples.
The function should raise the exception for: RuntimeError: If the URL is incorrect or the server is down, the error message might be "Error fetching URL: HTTP Error 404: Not Found" or "Error fetching URL: ConnectionError". The function begins by making an HTTP request to the specified URL. It sets a timeout of 5 seconds to avoid prolonged waiting in case of unresponsive webpages. If the request encounters any exceptions such as connection errors, timeouts, or HTTP errors, a 'requests.RequestException' is raised. The function raises a '' with a message that includes the details of the exception. For example,, depending on the specific issue encountered.
The function should output with:
    list: A list of tuples containing the (title, date, author) extracted from the webpage. Default placeholders
    are used for missing information.
You should write self-contained code starting with:

Code

import requests
import pandas as pd
from bs4 import BeautifulSoup
def task_func(url: str, csv_file_path: str) -> list:

code prompt

Code

import requests
import pandas as pd
from bs4 import BeautifulSoup
def task_func(url: str, csv_file_path: str) -> list:

entry point

task_func

libs

  • pandas
  • bs4
  • requests

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Source and history

task_id
fb8f39e3-8392-575c-9933-fb847f1f14e9
task_key
default--v0~2e1~2e0~5fhf--fb8f39e3-8392-575c-9933-fb847f1f14e9
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import