202 lines
6.6 KiB
Python
202 lines
6.6 KiB
Python
import asyncio
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import logging
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import os.path
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from typing import Any, List, Tuple
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import aiohttp
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from lingua import LanguageDetector
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from coach_scraper.database import Row, RowKey, upsert_row
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from coach_scraper.locale import Locale
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from coach_scraper.types import Site, Title
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class Fetcher:
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"""Download and cache files from the specified site.
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Each implementation of this class is responsible for rate-limiting requests.
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"""
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def __init__(self, site: Site, session: aiohttp.ClientSession):
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self.site = site
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self.session = session
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self.has_made_request = False
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os.makedirs(self.path_coaches_dir(), exist_ok=True)
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os.makedirs(self.path_pages_dir(), exist_ok=True)
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def path_site_dir(self):
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return os.path.join("data", self.site.value)
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def path_site_file(self, filename: str):
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return os.path.join(self.path_site_dir(), filename)
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def path_coaches_dir(self):
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return os.path.join(self.path_site_dir(), "coaches")
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def path_coach_dir(self, username: str):
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return os.path.join(self.path_coaches_dir(), username)
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def path_coach_file(self, username: str, filename: str):
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return os.path.join(self.path_coach_dir(username), filename)
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def path_pages_dir(self):
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return os.path.join(self.path_site_dir(), "pages")
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def path_page_file(self, page_no: int):
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return os.path.join(self.path_pages_dir(), f"{page_no}.txt")
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async def fetch(self, url: str) -> Tuple[str | None, int]:
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"""Make network requests using the internal session.
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@param url
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The URL to make a GET request to.
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@return
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Tuple containing the response body (if the request was successful)
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and status code.
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"""
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self.has_made_request = True
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async with self.session.get(url) as response:
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if response.status == 200:
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return await response.text(), 200
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logging.error(f"Could not fetch URL {url}. Status code: {response.status}")
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return None, response.status
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async def scrape_usernames(self, page_no: int) -> List[str] | None:
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"""Source the specified site for all coach usernames.
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All pages should be downloaded at `self.path_page_file()`. Any cached
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file should be a plain `.txt` file containing one username per-line.
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@param page_no:
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How many times this function was invoked (1-indexed). Useful to
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paginate responses back out to the `Pipeline` this `Downloader`
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is embedded in.
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@return:
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A list of usernames. Should return an empty list if no more
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usernames are found. Can return `None` to indicate the specified
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page should be skipped.
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"""
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raise NotImplementedError()
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async def _download_user_files(self, username: str) -> None:
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os.makedirs(self.path_coach_dir(username), exist_ok=True)
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await self.download_user_files(username)
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async def download_user_files(self, username: str) -> None:
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"""Source the specified site for all user-specific files.
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What files are downloaded depends on the `Downloader` implementation.
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All files should be downloaded at `self.path_coach_file()`.
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"""
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raise NotImplementedError()
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def _insert(row: Row, key: RowKey, value: Any):
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if value is not None:
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row[key] = value
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class Extractor:
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def __init__(self, fetcher: Fetcher, detector: LanguageDetector, username: str):
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self.fetcher = fetcher
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self.detector = detector
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self.username = username
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def get_name(self) -> str | None:
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raise NotImplementedError()
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def get_image_url(self) -> str | None:
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raise NotImplementedError()
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def get_title(self) -> Title | None:
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raise NotImplementedError()
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def get_languages(self) -> List[Locale] | None:
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raise NotImplementedError()
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def get_rapid(self) -> int | None:
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raise NotImplementedError()
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def get_blitz(self) -> int | None:
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raise NotImplementedError()
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def get_bullet(self) -> int | None:
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raise NotImplementedError()
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def extract(self) -> Row:
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"""Extract a table row from the coach-specific downloads."""
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row: Row = {}
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_insert(row, "site", self.fetcher.site)
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_insert(row, "username", self.username)
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_insert(row, "name", self.get_name())
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_insert(row, "image_url", self.get_image_url())
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_insert(row, "title", self.get_title())
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_insert(row, "languages", self.get_languages())
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_insert(row, "rapid", self.get_rapid())
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_insert(row, "blitz", self.get_blitz())
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_insert(row, "bullet", self.get_bullet())
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return row
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async def task_worker(name, queue):
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while True:
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conn, extractor = await queue.get()
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upsert_row(conn, extractor.extract())
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queue.task_done()
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class Pipeline:
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"""Site specific download and extraction pipeline.
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Performs downloads serially but processes data extraction from downloaded
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files concurrently.
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"""
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def __init__(self, worker_count):
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self.worker_count = worker_count
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def get_fetcher(self, session: aiohttp.ClientSession) -> Fetcher:
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raise NotImplementedError()
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def get_extractor(
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self, fetcher: Fetcher, detector: LanguageDetector, username: str
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) -> Extractor:
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raise NotImplementedError()
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async def process(
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self, conn, detector: LanguageDetector, session: aiohttp.ClientSession
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):
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fetcher = self.get_fetcher(session)
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queue: asyncio.Queue = asyncio.Queue()
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# Create a batch of workers to process the jobs put into the queue.
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workers = []
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for i in range(self.worker_count):
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worker = asyncio.create_task(task_worker(f"worker-{i}", queue))
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workers.append(worker)
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# Begin downloading all coach usernames and files. The workers will
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# run concurrently to extract all the relvant information and write
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page_no = 1
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usernames: List[str] | None = [""]
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while usernames is None or len(usernames):
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usernames = await fetcher.scrape_usernames(page_no)
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page_no += 1
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for username in usernames or []:
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await fetcher._download_user_files(username)
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extractor = self.get_extractor(fetcher, detector, username)
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queue.put_nowait((conn, extractor))
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# Wait until the queue is fully processed.
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await queue.join()
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# We can now turn down the workers.
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for worker in workers:
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worker.cancel()
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await asyncio.gather(*workers, return_exceptions=True)
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