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https://github.com/aljazceru/Auto-GPT.git
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flake8 style
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@@ -6,6 +6,7 @@ from urllib.parse import urlparse, urljoin
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cfg = Config()
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# Function to check if the URL is valid
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def is_valid_url(url):
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try:
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@@ -14,15 +15,18 @@ def is_valid_url(url):
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except ValueError:
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return False
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# Function to sanitize the URL
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def sanitize_url(url):
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return urljoin(url, urlparse(url).path)
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# Define and check for local file address prefixes
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def check_local_file_access(url):
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local_prefixes = ['file:///', 'file://localhost', 'http://localhost', 'https://localhost']
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return any(url.startswith(prefix) for prefix in local_prefixes)
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def get_response(url, headers=cfg.user_agent_header, timeout=10):
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try:
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# Restrict access to local files
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@@ -33,7 +37,6 @@ def get_response(url, headers=cfg.user_agent_header, timeout=10):
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if not url.startswith('http://') and not url.startswith('https://'):
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raise ValueError('Invalid URL format')
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sanitized_url = sanitize_url(url)
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response = requests.get(sanitized_url, headers=headers, timeout=timeout)
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@@ -51,6 +54,7 @@ def get_response(url, headers=cfg.user_agent_header, timeout=10):
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# Handle exceptions related to the HTTP request (e.g., connection errors, timeouts, etc.)
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return None, "Error: " + str(re)
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def scrape_text(url):
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"""Scrape text from a webpage"""
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response, error_message = get_response(url)
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@@ -128,6 +132,7 @@ def create_message(chunk, question):
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"content": f"\"\"\"{chunk}\"\"\" Using the above text, please answer the following question: \"{question}\" -- if the question cannot be answered using the text, please summarize the text."
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}
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def summarize_text(text, question):
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"""Summarize text using the LLM model"""
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if not text:
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@@ -11,7 +11,8 @@ from scripts.browse import scrape_links
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Code Analysis
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Objective:
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The objective of the 'scrape_links' function is to scrape hyperlinks from a given URL and return them in a formatted way.
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The objective of the 'scrape_links' function is to scrape hyperlinks from a
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given URL and return them in a formatted way.
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Inputs:
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- url: a string representing the URL to be scraped.
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@@ -29,17 +30,18 @@ Outputs:
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- A list of formatted hyperlinks.
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Additional aspects:
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- The function uses the 'requests' and 'BeautifulSoup' libraries to send HTTP requests and parse HTML content, respectively.
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- The function uses the 'requests' and 'BeautifulSoup' libraries to send HTTP
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requests and parse HTML content, respectively.
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- The 'extract_hyperlinks' function is called to extract hyperlinks from the parsed HTML.
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- The 'format_hyperlinks' function is called to format the extracted hyperlinks.
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- The function checks for HTTP errors and returns "error" if any are found.
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"""
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class TestScrapeLinks:
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# Tests that the function returns a list of formatted hyperlinks when provided with a valid url that returns a webpage with hyperlinks.
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# Tests that the function returns a list of formatted hyperlinks when
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# provided with a valid url that returns a webpage with hyperlinks.
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def test_valid_url_with_hyperlinks(self):
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url = "https://www.google.com"
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result = scrape_links(url)
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@@ -2,7 +2,6 @@
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# Generated by CodiumAI
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import requests
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import tests.context
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from scripts.browse import scrape_text
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@@ -10,7 +9,8 @@ from scripts.browse import scrape_text
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Code Analysis
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Objective:
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The objective of the "scrape_text" function is to scrape the text content from a given URL and return it as a string, after removing any unwanted HTML tags and scripts.
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The objective of the "scrape_text" function is to scrape the text content from
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a given URL and return it as a string, after removing any unwanted HTML tags and scripts.
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Inputs:
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- url: a string representing the URL of the webpage to be scraped.
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@@ -33,6 +33,7 @@ Additional aspects:
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- The function uses a generator expression to split the text into lines and chunks, which can improve performance for large amounts of text.
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"""
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class TestScrapeText:
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# Tests that scrape_text() returns the expected text when given a valid URL.
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