Intro

As a developer, we search each day for answers to common problems during a code writing. StackOverflow is our best friend while seeking answers. The problem begins when we start looking at other things and the question we were seeking is just a window to check our whatssup, personal mail and our favorite news site.

Well, this kind of behavior cut a respectable timeshare and the distraction interrupt the overall development.

We can be more productive in no times, I knew I can improve my productivity I just had to think how.

Solution

I open vs.code and started to wrap up a nice CLI using python I knew for a fact that python has numerous libraries for query URL, parsing URL content, and display results interactively.

That's when I created stackfast.

Fency logo in 3...2...1..

    ________    _____             ______      ________                _____ 
    __  ___/    __  /______ _________  /__    ___  __/  ______ _________  /_
    _____ \     _  __/  __ `/  ___/_  //_/    __  /_    _  __ `/_  ___/  __/
    ____/ /     / /_ / /_/ // /__ _  ,<       _  __/    / /_/ /_(__  )/ /_  
    /____/      \__/ \__,_/ \___/ /_/|_|      /_/       \__,_/ /____/ \__/  
   // Ask stackoverflow fast.. ♫                                        v0.1  ( We need some kind of version ¯\_(ツ)_/¯ )

Some code - without it why we are even talking?

def display_selected_post_discussion(question_data: Dict[str, str]) -> None:
    # get's the question_data dict parse and display the post discussion.
    # // input: question_data: {"url": "", "question": ""}

    print()
    ColorPrint.print_fail("QUESTION: [" + question_data["question"] + "]")
    question_full_input = requests.get(URL + question_data["url"])
    data = BeautifulSoup(question_full_input.text, "html.parser")
    print(data.find(name="div", attrs={"class": "post-text"}).text)
    ColorPrint.print_pass("ANSWERS: ")
    ColorPrint.print_warn("=======================================")
    for idx, answer in enumerate(data.find_all(name="div", attrs={"class": "post-text"})[1:]):
        print(f"Answer #{idx + 1}\n{answer.text.strip()}")
        ColorPrint.print_warn("=======================================")


def dig_top_matched_simillar_questions(question: str) -> List[Dict[str, str]]:
    # dig stackoverflow page by the user input question and find the most relevant 
    # questions.
    # // input: question.
    # // return: list of dicts e.g [{url: "xxx", question: "zzz"}]

    data = requests.get(URL + "/search?tab=relevance&q=" + question)
    soup = BeautifulSoup(data.text, 'html.parser')
    questions = []
    for item in soup.find_all(name="div", class_="result-link"):
        try:
            url = (
                str(item).split("href=")[1]
                         .split(" title")[0]
                         .strip()
                         .replace('"', "")
                         .replace("?r=SearchResults", "")
            )
            question = item.text.strip().replace("Q: ", "").replace("A:", "").strip()
            questions.append(
                {"url": url, "question": question}
            )
        except:
            pass
    return questions

The 2 important functions:

---

dig_top_matched_simillar_questions - get the relevant posts according to your question and parse & display it nicely.

display_selected_post_discussion - display the disscussion. question & answers.

Demo

Repository on GitHub HERE

Comments are Welcome!