mirror of
https://github.com/Xevion/leetcode.git
synced 2025-12-06 03:15:28 -06:00
164 lines
4.6 KiB
Python
164 lines
4.6 KiB
Python
"""
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questions.py
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Module for pulling down, caching, and looking up question data easily.
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"""
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from dataclasses import dataclass
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import json
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from pathlib import Path
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import time
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from typing import List
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from logging import getLogger
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from pydantic import BaseModel
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from requests import Session
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logger = getLogger(__name__)
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query = """
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"""
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class Tag(BaseModel):
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"""
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A class representing a tag.
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"""
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slug: str
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name: str
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class Question(BaseModel):
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"""
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A class representing a question.
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"""
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id: int
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slug: str
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title: str
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body: str
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tags: List[Tag]
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class QuestionDatabase(object):
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"""
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A class for managing the question database.
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"""
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def __init__(self, cache_path: Path, cache_time: int) -> None:
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"""
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Initializes the question database.
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:param cache_time: The amount of time to cache all questions for, in seconds.
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"""
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self.client = Session()
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self.client.headers["Content-Type"] = "application/json"
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self.client.headers["Referer"] = "https://leetcode.com/problemset/all/"
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self.client.headers["User-Agent"] = "lc-track/0.0.1"
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self.client.headers["Accept"] = "application/json"
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# Cache path exists
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if cache_path.exists():
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if not cache_path.is_file():
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raise ValueError(f"Cache path {cache_path} is not a file.")
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with cache_path.open("r") as cache_file:
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raw_cache = json.load(cache_file)
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cache_elapsed = time.time() - raw_cache["fetch_time"]
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if cache_elapsed < cache_time:
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self.questions = [
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Question(**question) for question in raw_cache["questions"]
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]
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logger.info(f"Loaded {len(self.questions)} questions from cache.")
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return
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# Make sure the directory holding it does exist (this shouldn't ever be raised, so this is just a sanity check)
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if not cache_path.parent.exists():
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raise RuntimeError(
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f"Directory where cache would exist ({cache_path.parent}) does not exist."
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)
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# Fetch cache questions
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logger.info("Fetching questions from LeetCode...")
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logger.debug("Fetching total number of questions...")
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totalQuestionsQuery = """
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query getTotalQuestions($categorySlug: String, $filters: QuestionListFilterInput) {
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questions: questionList(
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categorySlug: $categorySlug
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limit: 1,
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filters: $filters
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skip: 0
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) {
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total: totalNum
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}
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}"""
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total_questions_response = self.client.get(
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"https://leetcode.com/graphql",
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json={
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"query": totalQuestionsQuery,
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"variables": {"categorySlug": "", "filters": {}},
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},
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)
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if not total_questions_response.ok:
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raise RuntimeError(
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f"Failed to fetch total number of questions: {total_questions_response.status_code} {total_questions_response.reason}"
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)
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total: int = total_questions_response.json()["data"]["questions"]["total"]
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logger.debug(f"Total number of questions: {total:,}")
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logger.debug("Fetching questions...")
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questionsQuery = """
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query questionsList($categorySlug: String, $limit: Int, $skip: Int, $filters: QuestionListFilterInput) {
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problemsetQuestionList: questionList(
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categorySlug: $categorySlug
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limit: $limit
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skip: $skip
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filters: $filters
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) {
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total: totalNum
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questions: data {
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difficulty
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title
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titleSlug
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id: questionFrontendId
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topicTags {
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name
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slug
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}
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}
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}
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}
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"""
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questions_response = self.client.get(
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"https://leetcode.com/graphql",
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json={
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"query": questionsQuery,
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"variables": {
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"categorySlug": "",
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"filters": {},
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"limit": 1,
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"skip": 0,
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},
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},
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)
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print(questions_response.json())
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def get_by_id(self, question_id: int) -> Question:
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"""
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Gets a question by its ID.
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"""
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raise NotImplementedError
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def get_by_slug(self, slug: str) -> Question:
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"""
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Gets a question by its slug.
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"""
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raise NotImplementedError
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