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.github/workflows/ci.yml vendored Normal file
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name: CI
on:
push:
branches: [ main, master ]
pull_request:
branches: [ main, master ]
jobs:
test:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: 3.11
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install -r requirements.txt
- name: Run tests
run: pytest -q

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# Python-generated files
__pycache__/
*.py[oc]
build/
dist/
wheels/
*.egg-info
# Virtual environments
.venv

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3.12

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README.md Normal file
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line-today-scrape
===================
Prototype respectful crawler for https://today.line.me/th/ (Thai locale).
Overview
--------
This project contains a conservative, policy-first crawler prototype written in Python.
It demonstrates:
- Robots.txt fetching and policy enforcement
- Rate-limited async fetching
- HTML extraction (meta tags + JSON-LD fallback)
- Local storage of raw snapshots and parsed JSON
Note: This is a prototype. Always review and run responsibly.
Quickstart
----------
1. Install dependencies (recommend using poetry or virtualenv)
poetry install
2. Run the crawler in dry-run mode (fetch limited pages):
python -m linetoday.cli --dry-run --limit 5
Files
-----
- `linetoday/robots.py` - Robots & policy manager
- `linetoday/fetcher.py` - Async HTTP fetcher with rate limiting
- `linetoday/frontier.py` - URL frontier and canonicalization
- `linetoday/extractor.py` - Article extraction logic
- `linetoday/storage.py` - Local storage for snapshots and parsed JSON
- `linetoday/cli.py` - CLI entrypoint
License
-------
Prototype for demonstration only.

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linetoday/__init__.py Normal file
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# linetoday package

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linetoday/cli.py Normal file
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import argparse
import asyncio
import logging
import signal
import time
from contextlib import suppress
from .extractor import extract_article
from .fetcher import Fetcher
from .frontier import Frontier
from .metrics import MetricsRecorder
from .robots import RobotsManager
from .storage import store_parsed, store_snapshot
ORIGIN = 'https://today.line.me/th/v3/tab/wealth'
START_URL = 'https://today.line.me/th/v3/tab/wealth'
def build_parser() -> argparse.ArgumentParser:
parser = argparse.ArgumentParser(prog='linetoday')
parser.add_argument('--dry-run', action='store_true', help='Do not persist parsed data')
parser.add_argument('--limit', type=int, default=10, help='Max pages to fetch')
parser.add_argument('--ignore-robots', action='store_true', help='Ignore robots.txt checks (use only for local testing)')
parser.add_argument('--verbose', action='store_true', help='Enable debug logging')
parser.add_argument('--concurrency', type=int, default=4, help='Number of concurrent fetch workers')
parser.add_argument('--metrics-interval', type=float, default=30.0, help='Seconds between metrics log snapshots')
parser.add_argument('--per-origin-capacity', type=int, default=2, help='Burst size per origin token bucket')
parser.add_argument('--per-origin-refill', type=float, default=2.0, help='Seconds per token refill for origin bucket')
parser.add_argument('--timeout', type=float, default=20.0, help='HTTP request timeout')
return parser
async def metrics_reporter(metrics: MetricsRecorder, interval: float, stop_event: asyncio.Event) -> None:
try:
while not stop_event.is_set():
await asyncio.sleep(interval)
logging.info('metrics %s', metrics.format_snapshot())
except asyncio.CancelledError:
logging.info('metrics %s', metrics.format_snapshot())
raise
async def crawl(args) -> None:
ua = 'LineTodayCrawler/0.1 (+mailto:ops@example.com)'
robots = RobotsManager(user_agent=ua)
frontier = Frontier()
metrics = MetricsRecorder()
queue: asyncio.Queue[str | None] = asyncio.Queue()
if frontier.add(START_URL):
queue.put_nowait(START_URL)
metrics.inc('frontier_seeded')
fetched = 0
fetched_lock = asyncio.Lock()
stop_event = asyncio.Event()
async with Fetcher(
user_agent=ua,
max_retries=3,
circuit_threshold=5,
circuit_cooldown=60.0,
timeout=args.timeout,
per_origin_capacity=args.per_origin_capacity,
per_origin_refill=args.per_origin_refill,
) as fetcher:
reporter_task = asyncio.create_task(metrics_reporter(metrics, args.metrics_interval, stop_event))
async def worker(worker_id: int) -> None:
nonlocal fetched
logger = logging.getLogger(f'worker-{worker_id}')
while True:
url = await queue.get()
if url is None:
queue.task_done()
logger.debug('received sentinel, exiting')
break
metrics.inc('queue_dequeued')
if stop_event.is_set():
queue.task_done()
continue
if not url.startswith('https://today.line.me/th'):
queue.task_done()
continue
path = url[len(ORIGIN):]
if not args.ignore_robots:
allowed = await asyncio.to_thread(robots.allowed, ORIGIN, path)
if not allowed:
logger.info('robots disallow %s', url)
metrics.inc('robots_blocked')
queue.task_done()
continue
logger.info('fetching %s', url)
metrics.inc('fetch_started')
fetch_start = time.perf_counter()
res = await fetcher.fetch(url)
latency_ms = (time.perf_counter() - fetch_start) * 1000
metrics.observe('fetch_latency_ms', latency_ms)
status = res.get('status')
if status is None:
metrics.inc('status_none')
logger.error('error fetching %s: %s', url, res.get('error'))
if res.get('pause_seconds'):
pause = res['pause_seconds']
metrics.inc('retry_pauses')
logger.info('pausing for %s seconds', pause)
await asyncio.sleep(pause)
queue.task_done()
continue
metrics.inc(f'status_{status}')
counted = False
if status == 304:
logger.info('not modified %s', url)
counted = True
elif status != 200:
logger.warning('skipping %s status %s', url, status)
else:
html = res.get('text', '')
await asyncio.to_thread(store_snapshot, url, html)
metrics.inc('snapshots_written')
article, links = extract_article(html, url)
if not args.dry_run:
await asyncio.to_thread(store_parsed, article)
metrics.inc('parsed_written')
if not stop_event.is_set():
new_links = 0
for link in links:
if link.startswith('/'):
link = ORIGIN + link
if frontier.add(link):
queue.put_nowait(link)
new_links += 1
metrics.inc('links_enqueued', new_links)
counted = True
if counted:
async with fetched_lock:
fetched += 1
metrics.inc('fetched_total')
if fetched >= args.limit and not stop_event.is_set():
logger.info('fetch limit reached (%s)', args.limit)
stop_event.set()
for _ in range(args.concurrency):
queue.put_nowait(None)
queue.task_done()
workers = [asyncio.create_task(worker(i)) for i in range(args.concurrency)]
def _request_stop(*_):
if not stop_event.is_set():
logging.warning('received shutdown signal; draining queue')
stop_event.set()
for _ in range(args.concurrency):
queue.put_nowait(None)
loop = asyncio.get_running_loop()
for sig in (signal.SIGINT, signal.SIGTERM):
with suppress(NotImplementedError):
loop.add_signal_handler(sig, _request_stop)
await queue.join()
if not stop_event.is_set():
stop_event.set()
for _ in range(args.concurrency):
queue.put_nowait(None)
await asyncio.gather(*workers, return_exceptions=True)
reporter_task.cancel()
with suppress(asyncio.CancelledError):
await reporter_task
await asyncio.to_thread(robots._http.close)
logging.info('done')
def main():
parser = build_parser()
args = parser.parse_args()
level = logging.DEBUG if args.verbose else logging.INFO
logging.basicConfig(level=level, format='%(asctime)s %(levelname)s %(name)s %(message)s')
asyncio.run(crawl(args))
if __name__ == '__main__':
main()

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import re
import html
import json
from datetime import datetime, timezone
from typing import Dict, List, Tuple, Optional, Any, Set
from urllib.parse import urljoin, urlparse
from bs4 import BeautifulSoup
def _get_meta(soup: BeautifulSoup, prop: str) -> Optional[str]:
tag = soup.find('meta', attrs={"property": prop}) or soup.find('meta', attrs={"name": prop})
if tag and tag.get('content'):
return tag.get('content').strip()
return None
def _parse_json_ld(soup: BeautifulSoup) -> Optional[dict]:
for tag in soup.find_all('script', type='application/ld+json'):
try:
raw = tag.string
if not raw:
continue
data = json.loads(raw.strip())
# if list, prefer first NewsArticle
if isinstance(data, list):
for item in data:
if isinstance(item, dict) and item.get('@type') in ('NewsArticle', 'Article'):
return item
if isinstance(data, dict) and data.get('@type') in ('NewsArticle', 'Article'):
return data
except Exception:
continue
return None
def _parse_next_data(soup: BeautifulSoup) -> Optional[dict]:
tag = soup.find('script', attrs={'id': '__NEXT_DATA__', 'type': 'application/json'})
if not tag:
# sometimes it's without type
tag = soup.find('script', attrs={'id': '__NEXT_DATA__'})
if not tag:
return None
try:
raw = tag.string or tag.get_text()
if not raw:
return None
raw = raw.strip()
# unescape HTML entities that sometimes wrap the JSON
raw = html.unescape(raw)
try:
data = json.loads(raw)
return data
except Exception:
# sometimes the JSON is embedded or has prefix/suffix; try to extract between first and last brace
first = raw.find('{')
last = raw.rfind('}')
if first != -1 and last != -1 and last > first:
snippet = raw[first:last+1]
try:
return json.loads(snippet)
except Exception:
return None
return None
except Exception:
return None
def _find_field(obj: Any, keys: List[str]) -> Optional[Any]:
"""Recursively search dict/list for first occurrence of any key in keys."""
if isinstance(obj, dict):
for k, v in obj.items():
if k in keys:
return v
found = _find_field(v, keys)
if found is not None:
return found
elif isinstance(obj, list):
for item in obj:
found = _find_field(item, keys)
if found is not None:
return found
return None
def _extract_article_payload(nextdata: dict) -> Tuple[Optional[dict], Optional[str]]:
"""Locate the structured article payload inside Next.js fallback data."""
props = nextdata.get('props') if isinstance(nextdata, dict) else None
page_props = props.get('pageProps') if isinstance(props, dict) else None
fallback = page_props.get('fallback') if isinstance(page_props, dict) else None
if not isinstance(fallback, dict):
return None, None
for key, value in fallback.items():
if isinstance(value, dict):
data = value.get('data')
if isinstance(data, dict) and data.get('content') and data.get('title'):
return data, key
if value.get('content') and value.get('title'):
return value, key
return None, None
def _text_from_html_fragment(fragment: str) -> str:
# Use BeautifulSoup to cleanly extract text from HTML fragments
try:
frag_soup = BeautifulSoup(fragment, 'lxml')
return frag_soup.get_text(separator=' ', strip=True)
except Exception:
# fallback: strip tags crudely
return re.sub('<[^<]+?>', '', fragment).strip()
def _normalize_paragraphs(text: str) -> str:
"""Remove obvious noise (Loading..., duplicate nav labels) while preserving order."""
if not text:
return ''
cleaned: List[str] = []
seen_counts: Dict[str, int] = {}
for raw_line in text.splitlines():
line = raw_line.strip()
if not line:
continue
lower = line.lower()
if 'loading' in lower:
# Catch "Loading...", "Loading... Loading..." etc.
continue
# Allow each distinct line up to twice to keep short quotes
if seen_counts.get(lower, 0) >= 2:
continue
seen_counts[lower] = seen_counts.get(lower, 0) + 1
cleaned.append(line)
return '\n\n'.join(cleaned)
def _is_today_article_url(url: str) -> bool:
parsed = urlparse(url)
if parsed.netloc and 'today.line.me' not in parsed.netloc:
return False
return '/article/' in parsed.path
def _collect_structured_links(article_payload: Optional[dict]) -> Set[str]:
links: Set[str] = set()
if not isinstance(article_payload, dict):
return links
explore = article_payload.get('exploreLinks')
if isinstance(explore, list):
for entry in explore:
page_link = entry.get('pageLink') if isinstance(entry, dict) else None
if not isinstance(page_link, dict):
continue
page_type = page_link.get('pageType')
if page_type == 'ARTICLE':
hash_val = page_link.get('hash')
if hash_val:
links.add(f'https://today.line.me/th/v3/article/{hash_val}')
elif page_type == 'GENERAL':
page = page_link.get('page')
if isinstance(page, dict):
url_path = page.get('urlPath')
if url_path:
links.add(f'https://today.line.me/th/v3/page/{url_path}')
elif page_type == 'TAG':
tag_hash = page_link.get('hash')
if tag_hash:
links.add(f'https://today.line.me/th/v3/tag/{tag_hash}')
return links
def extract_article(html: str, url: str) -> Tuple[Dict, List[str]]:
soup = BeautifulSoup(html, 'lxml')
# meta / og
title = _get_meta(soup, 'og:title') or _get_meta(soup, 'title')
description = _get_meta(soup, 'og:description') or _get_meta(soup, 'description')
image = _get_meta(soup, 'og:image')
published = _get_meta(soup, 'article:published_time')
# JSON-LD
jsonld = _parse_json_ld(soup)
if jsonld:
title = title or jsonld.get('headline')
if not published:
published = jsonld.get('datePublished') or jsonld.get('dateCreated')
author = None
a = jsonld.get('author')
if isinstance(a, dict):
author = a.get('name')
elif isinstance(a, list) and a:
author = a[0].get('name') if isinstance(a[0], dict) else None
else:
author = a
publisher = None
pub = jsonld.get('publisher')
if isinstance(pub, dict):
publisher = pub.get('name')
else:
author = None
publisher = None
body_html = None
content_type = None
source_url = None
category = None
tags: List[str] = []
is_article = False
# Try Next.js page data
nextdata = _parse_next_data(soup)
if nextdata:
payload, payload_key = _extract_article_payload(nextdata)
if payload:
content_type = payload.get('contentType')
url_info = payload.get('url') if isinstance(payload.get('url'), dict) else None
canonical_url = url_info.get('url') if isinstance(url_info, dict) else None
if canonical_url and _is_today_article_url(canonical_url):
is_article = True
url = canonical_url
elif canonical_url:
url = canonical_url
title = payload.get('title') or title
description = payload.get('shortDescription') or description
author = payload.get('author') or author
publisher = payload.get('publisher') or publisher
source_url = payload.get('sourceUrl')
category = payload.get('categoryName')
publish_unix = payload.get('publishTimeUnix')
if publish_unix and not published:
try:
published = datetime.fromtimestamp(publish_unix, tz=timezone.utc).isoformat()
except Exception:
published = payload.get('publishTime') or published
elif payload.get('publishTime') and not published:
published = payload.get('publishTime')
body_html = payload.get('content')
if body_html:
article_body = _text_from_html_fragment(body_html)
explore_links = payload.get('exploreLinks')
if isinstance(explore_links, list):
for entry in explore_links:
tag_name = entry.get('name') if isinstance(entry, dict) else None
page_link = entry.get('pageLink') if isinstance(entry, dict) else None
if tag_name and page_link and page_link.get('pageType') == 'TAG':
tags.append(tag_name)
else:
# search common fields used by news sites / Next.js props
nd_title = _find_field(nextdata, ['title', 'headline', 'name', 'seoTitle'])
if nd_title and not title:
title = nd_title
nd_desc = _find_field(nextdata, ['description', 'summary', 'seoDescription'])
if nd_desc and not description:
description = nd_desc
nd_body = _find_field(nextdata, ['articleBody', 'body', 'content', 'html'])
if nd_body:
if isinstance(nd_body, str):
article_body = _text_from_html_fragment(nd_body)
elif isinstance(nd_body, list):
parts = []
for item in nd_body:
if isinstance(item, str):
parts.append(_text_from_html_fragment(item))
elif isinstance(item, dict):
for k in ('text', 'content', 'body', 'html'):
if k in item and isinstance(item[k], str):
parts.append(_text_from_html_fragment(item[k]))
article_body = '\n\n'.join([p for p in parts if p])
elif isinstance(nd_body, dict):
if 'html' in nd_body and isinstance(nd_body['html'], str):
article_body = _text_from_html_fragment(nd_body['html'])
else:
article_body = _text_from_html_fragment(str(nd_body))
else:
article_body = ''
else:
article_body = ''
nd_img = _find_field(nextdata, ['image', 'thumbnail', 'ogImage'])
if nd_img and not image:
if isinstance(nd_img, str):
image = urljoin(url, nd_img)
elif isinstance(nd_img, dict):
candidate = nd_img.get('url') or nd_img.get('src') or nd_img.get('path')
if isinstance(candidate, str):
image = urljoin(url, candidate)
nd_author = _find_field(nextdata, ['author', 'writer', 'creator'])
if nd_author and not author:
if isinstance(nd_author, str):
author = nd_author
elif isinstance(nd_author, dict):
author = nd_author.get('name')
elif isinstance(nd_author, list) and nd_author:
first = nd_author[0]
if isinstance(first, dict):
author = first.get('name')
elif isinstance(first, str):
author = first
if not published:
nd_pub = _find_field(nextdata, ['datePublished', 'publishedAt', 'createdAt'])
if isinstance(nd_pub, str):
published = nd_pub
# If payload explicitly marks article content but lacks meta image, attempt to build from payload thumbnail
if not image and payload and isinstance(payload.get('thumbnail'), dict):
thumb = payload['thumbnail']
thumb_url = thumb.get('url') or thumb.get('src')
if isinstance(thumb_url, str):
image = urljoin(url, thumb_url)
else:
article_body = ''
# fallback title
if not title:
h1 = soup.find('h1')
if h1:
title = h1.get_text(strip=True)
# if article_body still empty, apply HTML heuristics
if not article_body:
# content extraction heuristics
# try common article containers
candidates = []
for sel in ['article', 'div[class*="article"]', 'div[itemprop="articleBody"]', 'div[class*="content"]']:
candidates.extend(soup.select(sel))
if not candidates:
# fallback to main
main = soup.find('main')
if main:
candidates = [main]
if candidates:
# Choose largest candidate by text length
best = max(candidates, key=lambda el: len(el.get_text(strip=True)))
# remove scripts, styles, ads-like nodes
for bad in best.select('script, style, .ad, .ads, .related, .promo'):
bad.decompose()
paragraphs = [p.get_text(separator=' ', strip=True) for p in best.find_all(['p', 'div']) if p.get_text(strip=True)]
article_body = '\n\n'.join(paragraphs)
else:
# as last resort, combine all <p>
paragraphs = [p.get_text(strip=True) for p in soup.find_all('p')]
article_body = '\n\n'.join(paragraphs)
article_body = _normalize_paragraphs(article_body)
# collect internal links with a bias toward article detail pages
link_candidates: Set[str] = set()
if nextdata:
payload, _ = _extract_article_payload(nextdata)
link_candidates.update(_collect_structured_links(payload))
for a in soup.find_all('a', href=True):
href = a['href']
absolute = urljoin(url, href)
if _is_today_article_url(absolute):
link_candidates.add(absolute)
elif absolute.startswith('https://today.line.me/th/'):
link_candidates.add(absolute)
if is_article:
link_candidates.add(url)
links = sorted(link_candidates)
article = {
'url': url,
'title': title,
'description': description,
'author': author,
'publisher': publisher,
'published_at': published,
'image': image,
'body_text': article_body,
'body_html': body_html,
'content_type': content_type,
'category': category,
'source_url': source_url,
'tags': tags,
'is_article': is_article,
}
return article, links

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import asyncio
import logging
import random
import time
from collections import defaultdict
from pathlib import Path
from typing import Dict, Optional
from urllib.parse import urlparse
import json
try:
import httpx
except Exception: # pragma: no cover
httpx = None # type: ignore
LOG = logging.getLogger(__name__)
METADATA_DIR = Path.cwd() / 'data' / 'meta'
METADATA_DIR.mkdir(parents=True, exist_ok=True)
class AsyncTokenBucket:
def __init__(self, capacity: int, refill_interval: float):
self.capacity = capacity
self.tokens = capacity
self.refill_interval = refill_interval
self.lock = asyncio.Lock()
self.last_refill = time.monotonic()
def _refill(self, now: float) -> None:
elapsed = now - self.last_refill
if elapsed <= 0:
return
add = int(elapsed / self.refill_interval)
if add > 0:
self.tokens = min(self.capacity, self.tokens + add)
self.last_refill += add * self.refill_interval
async def consume(self, timeout: Optional[float] = None) -> bool:
deadline = None if timeout is None else time.monotonic() + timeout
while True:
async with self.lock:
now = time.monotonic()
self._refill(now)
if self.tokens > 0:
self.tokens -= 1
return True
if deadline and time.monotonic() > deadline:
return False
await asyncio.sleep(0.05)
class Fetcher:
def __init__(
self,
user_agent: str = "LineTodayCrawler/0.1 (+mailto:ops@example.com)",
max_retries: int = 3,
circuit_threshold: int = 5,
circuit_cooldown: float = 60.0,
playwright_enabled: bool = False,
timeout: float = 20.0,
per_origin_capacity: int = 2,
per_origin_refill: float = 2.0,
):
if httpx is None: # pragma: no cover
raise RuntimeError('httpx must be installed to use Fetcher')
self.user_agent = user_agent
self._client = httpx.AsyncClient(timeout=timeout, follow_redirects=True)
self._bucket_capacity = max(1, per_origin_capacity)
self._bucket_refill = max(0.1, per_origin_refill)
self._buckets: Dict[str, AsyncTokenBucket] = defaultdict(
lambda: AsyncTokenBucket(self._bucket_capacity, self._bucket_refill)
)
self.max_retries = max_retries
self._failures: Dict[str, int] = defaultdict(int)
self._circuit_tripped_until: Dict[str, float] = {}
self.circuit_threshold = circuit_threshold
self.circuit_cooldown = circuit_cooldown
self.playwright_enabled = playwright_enabled
self._pw = None
self._browser = None
async def __aenter__(self) -> "Fetcher":
return self
async def __aexit__(self, exc_type, exc, tb) -> None:
await self.close()
async def close(self) -> None:
try:
if self._browser:
try:
await asyncio.to_thread(self._browser.close)
except Exception:
pass
self._browser = None
if self._pw:
try:
await asyncio.to_thread(self._pw.stop)
except Exception:
pass
self._pw = None
except Exception:
LOG.exception('error while closing Playwright resources')
await self._client.aclose()
def _origin(self, url: str) -> str:
p = urlparse(url)
return f"{p.scheme}://{p.netloc}"
async def _acquire(self, url: str) -> bool:
origin = self._origin(url)
until = self._circuit_tripped_until.get(origin)
now = time.monotonic()
if until and now < until:
LOG.warning('circuit open for %s until %s', origin, until)
return False
bucket = self._buckets[origin]
return await bucket.consume()
def _meta_path(self, url: str) -> Path:
name = str(abs(hash(url))) + '.json'
return METADATA_DIR / name
def _load_meta_sync(self, url: str) -> dict:
p = self._meta_path(url)
if p.exists():
try:
return json.loads(p.read_text(encoding='utf-8'))
except Exception:
return {}
return {}
async def _load_meta(self, url: str) -> dict:
return await asyncio.to_thread(self._load_meta_sync, url)
def _save_meta_sync(self, url: str, meta: dict) -> None:
p = self._meta_path(url)
p.write_text(json.dumps(meta, ensure_ascii=False), encoding='utf-8')
async def _save_meta(self, url: str, meta: dict) -> None:
await asyncio.to_thread(self._save_meta_sync, url, meta)
def _record_failure(self, origin: str) -> None:
self._failures[origin] += 1
if self._failures[origin] >= self.circuit_threshold:
until = time.monotonic() + self.circuit_cooldown
self._circuit_tripped_until[origin] = until
LOG.error('tripping circuit for %s until %.2f after %d failures', origin, until, self._failures[origin])
def _record_success(self, origin: str) -> None:
self._failures[origin] = 0
if origin in self._circuit_tripped_until:
del self._circuit_tripped_until[origin]
async def fetch(self, url: str, render_js: bool = False) -> dict:
origin = self._origin(url)
ok = await self._acquire(url)
if not ok:
return {"url": url, "status": None, "error": "rate_limited_or_circuit_open"}
headers = {
"User-Agent": self.user_agent,
"Accept-Language": "th,en;q=0.8",
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
}
meta = await self._load_meta(url)
if meta.get('etag'):
headers['If-None-Match'] = meta['etag']
if meta.get('last_modified'):
headers['If-Modified-Since'] = meta['last_modified']
if render_js and self.playwright_enabled:
LOG.warning('render_js mode is not supported in async fetcher yet; falling back to HTTP client for %s', url)
attempt = 0
start = time.monotonic()
while True:
attempt += 1
try:
LOG.debug('fetch attempt %d %s', attempt, url)
resp = await self._client.get(url, headers=headers)
duration = int((time.monotonic() - start) * 1000)
status = resp.status_code
out = {
"url": url,
"status": status,
"headers": dict(resp.headers),
"text": resp.text,
"elapsed_ms": duration,
}
meta2 = {}
if resp.headers.get('etag'):
meta2['etag'] = resp.headers.get('etag')
if resp.headers.get('last-modified'):
meta2['last_modified'] = resp.headers.get('last-modified')
if meta2:
await self._save_meta(url, meta2)
if 200 <= status < 400:
self._record_success(origin)
if status in (429, 503):
ra = resp.headers.get('Retry-After')
pause = None
if ra:
try:
pause = int(ra)
except ValueError:
pause = None
if pause and attempt <= self.max_retries:
LOG.warning('honoring Retry-After=%s for %s', pause, url)
out['pause_seconds'] = pause
self._record_failure(origin)
await asyncio.sleep(pause)
continue
if status == 429 or (500 <= status < 600):
self._record_failure(origin)
if attempt <= self.max_retries:
backoff = (2 ** (attempt - 1)) + random.random()
LOG.warning('transient status %s on %s; retrying in %.2fs (attempt %d)', status, url, backoff, attempt)
await asyncio.sleep(backoff)
continue
LOG.error('giving up after %d attempts for %s status=%s', attempt, url, status)
return out
except httpx.RequestError as e:
duration = int((time.monotonic() - start) * 1000)
LOG.warning('request error on %s: %s', url, e)
self._record_failure(origin)
if attempt <= self.max_retries:
backoff = (2 ** (attempt - 1)) + random.random()
LOG.debug('retrying after error in %.2fs', backoff)
await asyncio.sleep(backoff)
continue
return {"url": url, "status": None, "error": str(e), "elapsed_ms": duration}
except Exception as e: # pragma: no cover - defensive
duration = int((time.monotonic() - start) * 1000)
LOG.exception('unexpected error fetching %s', url)
self._record_failure(origin)
return {"url": url, "status": None, "error": str(e), "elapsed_ms": duration}

40
linetoday/frontier.py Normal file
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from collections import deque
from urllib.parse import urlparse, urlunparse, parse_qsl, urlencode
TRACKING_PARAMS = {"utm_source", "utm_medium", "utm_campaign", "utm_term", "utm_content", "fbclid", "gclid"}
def normalize_url(url: str) -> str:
"""Normalize URL: force https, remove fragments, drop tracking params, sort query."""
parsed = urlparse(url)
scheme = parsed.scheme or 'https'
netloc = parsed.netloc
path = parsed.path or '/'
# remove fragment
query_pairs = [(k, v) for k, v in parse_qsl(parsed.query, keep_blank_values=True) if k not in TRACKING_PARAMS]
query_pairs.sort()
query = urlencode(query_pairs)
normalized = urlunparse((scheme, netloc, path, '', query, ''))
return normalized
class Frontier:
def __init__(self):
self._seen: set[str] = set()
self._queue: deque[str] = deque()
def add(self, url: str) -> bool:
url = normalize_url(url)
if url in self._seen:
return False
self._seen.add(url)
self._queue.append(url)
return True
def pop(self) -> str | None:
if not self._queue:
return None
return self._queue.popleft()
def __len__(self) -> int:
return len(self._queue)

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linetoday/metrics.py Normal file
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from __future__ import annotations
import time
from collections import defaultdict
from typing import Dict
class MetricsRecorder:
"""Lightweight in-process metrics aggregator."""
def __init__(self) -> None:
self.counters: Dict[str, int] = defaultdict(int)
self.timers: Dict[str, dict[str, float]] = defaultdict(lambda: {"count": 0, "total": 0.0})
self.last_reset: float = time.time()
def inc(self, key: str, amount: int = 1) -> None:
self.counters[key] += amount
def observe(self, key: str, value: float) -> None:
bucket = self.timers[key]
bucket["count"] += 1
bucket["total"] += value
def snapshot(self) -> dict:
snap = {
"counters": dict(self.counters),
"timers": {
name: {
"count": data["count"],
"avg": (data["total"] / data["count"]) if data["count"] else 0.0,
}
for name, data in self.timers.items()
},
"uptime": time.time() - self.last_reset,
}
return snap
def format_snapshot(self) -> str:
snap = self.snapshot()
counter_parts = [f"{k}={v}" for k, v in sorted(snap["counters"].items())]
timer_parts = [
f"{name}:count={data['count']},avg_ms={data['avg']:.1f}"
for name, data in sorted(snap["timers"].items())
]
parts = []
if counter_parts:
parts.append("counters[" + ", ".join(counter_parts) + "]")
if timer_parts:
parts.append("timers[" + ", ".join(timer_parts) + "]")
parts.append(f"uptime={snap['uptime']:.1f}s")
return " ".join(parts)

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linetoday/robots.py Normal file
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import time
from dataclasses import dataclass
from typing import Optional
from urllib.parse import urljoin
import httpx
import urllib.robotparser as robotparser
@dataclass
class RobotsPolicy:
url: str
fetched_at: float
raw: str
hash: Optional[str]
parser: robotparser.RobotFileParser
class RobotsManager:
"""Fetch and cache robots.txt for origins using standard library parser.
This implementation fetches robots.txt with httpx and parses Allow/Disallow
and Crawl-delay. It caches results for one hour by default.
"""
def __init__(self, user_agent: str = "LineTodayCrawler/0.1 (+mailto:ops@example.com)"):
self.user_agent = user_agent
self._cache: dict[str, RobotsPolicy] = {}
self._http = httpx.Client(timeout=10.0)
def _fetch_robots(self, origin: str) -> RobotsPolicy:
robots_url = urljoin(origin, "/robots.txt")
try:
resp = self._http.get(robots_url)
raw = resp.text if resp.status_code == 200 else ""
except Exception:
raw = ""
parser = robotparser.RobotFileParser()
parser.set_url(robots_url)
try:
parser.parse(raw.splitlines())
except Exception:
# fall back to empty parser (allows everything)
parser = robotparser.RobotFileParser()
parser.parse([])
policy = RobotsPolicy(url=robots_url, fetched_at=time.time(), raw=raw, hash=None, parser=parser)
return policy
def get_policy(self, origin: str) -> RobotsPolicy:
now = time.time()
policy = self._cache.get(origin)
if policy and now - policy.fetched_at < 3600:
return policy
policy = self._fetch_robots(origin)
self._cache[origin] = policy
return policy
def allowed(self, origin: str, path: str) -> bool:
policy = self.get_policy(origin)
try:
return policy.parser.can_fetch(self.user_agent, path)
except Exception:
return False
def crawl_delay(self, origin: str) -> Optional[float]:
policy = self.get_policy(origin)
# urllib.robotparser does not expose crawl-delay; parse manually
raw = policy.raw
if not raw:
return None
ua = None
delay = None
for line in raw.splitlines():
line = line.strip()
if not line or line.startswith('#'):
continue
parts = line.split(':', 1)
if len(parts) != 2:
continue
k, v = parts[0].strip().lower(), parts[1].strip()
if k == 'user-agent':
ua = v
if k == 'crawl-delay' and ua in (self.user_agent, '*'):
try:
delay = float(v)
return delay
except Exception:
continue
return None

57
linetoday/storage.py Normal file
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import json
from datetime import datetime
from pathlib import Path
STORAGE_DIR = Path.cwd() / 'data'
SNAPSHOT_DIR = STORAGE_DIR / 'snapshots'
PARSED_DIR = STORAGE_DIR / 'parsed'
def ensure_dirs():
SNAPSHOT_DIR.mkdir(parents=True, exist_ok=True)
PARSED_DIR.mkdir(parents=True, exist_ok=True)
def store_snapshot(url: str, html: str) -> str:
ensure_dirs()
ts = datetime.utcnow().strftime('%Y%m%dT%H%M%SZ')
name = f"{ts}_{abs(hash(url))}.html"
path = SNAPSHOT_DIR / name
path.write_text(html, encoding='utf-8')
return str(path)
def _article_to_markdown(article: dict) -> str:
parts = []
title = article.get('title')
if title:
parts.append(f"# {title}")
meta = []
if article.get('author'):
meta.append(str(article.get('author')))
if article.get('published_at'):
meta.append(str(article.get('published_at')))
if meta:
parts.append('_' + ''.join(meta) + '_')
if article.get('description'):
parts.append(article.get('description'))
if article.get('image'):
parts.append(f"![image]({article.get('image')})")
body = article.get('body_text') or ''
if body:
parts.append(body)
return '\n\n'.join(parts)
def store_parsed(article: dict) -> str:
ensure_dirs()
ts = datetime.utcnow().strftime('%Y%m%dT%H%M%SZ')
fname = f"{ts}_{abs(hash(article.get('url')))}.json"
path = PARSED_DIR / fname
path.write_text(json.dumps(article, ensure_ascii=False, indent=2), encoding='utf-8')
# also write markdown alongside
md = _article_to_markdown(article)
md_name = fname.rsplit('.', 1)[0] + '.md'
md_path = PARSED_DIR / md_name
md_path.write_text(md, encoding='utf-8')
return str(path)

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pyproject.toml Normal file
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[project]
name = "line-today-scrape"
version = "0.1.0"
description = "Respectful crawler prototype for https://today.line.me/th/"
readme = "README.md"
requires-python = ">=3.11"
dependencies = [
"anyio>=4.11.0",
"beautifulsoup4>=4.14.2",
"httpx>=0.28.1",
"lxml>=6.0.2",
"playwright>=1.55.0",
"pytest>=8.4.2",
"ujson>=5.11.0",
]
[project.optional-dependencies]
dev = ["pytest>=8.4.2"]

5
requirements.txt Normal file
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httpx>=0.24.0
beautifulsoup4>=4.12.2
lxml>=4.9.3
pytest>=7.0
playwright>=1.55.0

6
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import sys
from pathlib import Path
# Ensure project root is on sys.path for tests
ROOT = Path(__file__).resolve().parents[1]
if str(ROOT) not in sys.path:
sys.path.insert(0, str(ROOT))

66
tests/fixtures/article_RBVxEOM.html vendored Normal file

File diff suppressed because one or more lines are too long

44
tests/test_extractor.py Normal file
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from pathlib import Path
from linetoday.extractor import extract_article
SNAPSHOT_DIR = Path(__file__).resolve().parents[1] / 'data' / 'snapshots'
ARTICLE_FIXTURE = Path(__file__).resolve().parents[0] / 'fixtures' / 'article_RBVxEOM.html'
def test_article_fixture_uses_structured_payload():
html = ARTICLE_FIXTURE.read_text(encoding='utf-8')
url = 'https://today.line.me/th/v3/article/RBVxEOM'
article, links = extract_article(html, url)
assert article['is_article'] is True
assert article['title'] and 'เปิดดวง' in article['title']
assert article['body_html'], 'expected body_html extracted from structured payload'
assert len(article['body_text']) > 500
assert article['published_at']
assert article['author'] == 'Sanook'
assert any('/th/v3/article/' in link for link in links)
def test_snapshots_are_classified_and_sanitised():
# iterate all html snapshots in data/snapshots
files = sorted([p for p in SNAPSHOT_DIR.iterdir() if p.suffix == '.html'])
assert files, f'No snapshot files found in {SNAPSHOT_DIR}'
for f in files:
html = f.read_text(encoding='utf-8')
url = f'https://today.line.me/snapshot/{f.name}'
article, links = extract_article(html, url)
assert isinstance(article, dict)
assert isinstance(links, list)
assert article.get('url') and article['url'].startswith('https://today.line.me')
title = article.get('title')
assert title and isinstance(title, str) and title.strip(), f'missing title for {f.name}'
if article.get('is_article'):
assert article.get('body_text') and len(article['body_text'].strip()) > 200
else:
body = article.get('body_text', '')
assert 'loading' not in body.lower()

16
tests/test_frontier.py Normal file
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from linetoday.frontier import normalize_url
def test_normalize_strip_tracking():
url = 'https://today.line.me/th/article/ABC?utm_source=foo&x=1&y=2#section'
n = normalize_url(url)
assert 'utm_source' not in n
assert '#' not in n
assert n.startswith('https://')
def test_normalize_sort_query():
url = 'https://today.line.me/th?page=2&b=2&a=1'
n = normalize_url(url)
# query params should be sorted: a then b
assert 'a=1' in n and 'b=2' in n

18
tests/test_metrics.py Normal file
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from linetoday.metrics import MetricsRecorder
def test_metrics_recorder_snapshot_and_format():
metrics = MetricsRecorder()
metrics.inc('requests')
metrics.inc('requests', 2)
metrics.observe('latency_ms', 100.0)
metrics.observe('latency_ms', 50.0)
snap = metrics.snapshot()
assert snap['counters']['requests'] == 3
assert snap['timers']['latency_ms']['count'] == 2
assert snap['timers']['latency_ms']['avg'] == 75.0
formatted = metrics.format_snapshot()
assert 'requests=3' in formatted
assert 'latency_ms' in formatted

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@ -0,0 +1,42 @@
#!/usr/bin/env python3
"""Convert all data/parsed/*.json to .md files alongside them."""
import json
from pathlib import Path
PARSED = Path.cwd() / 'data' / 'parsed'
def article_to_markdown(article: dict) -> str:
parts = []
title = article.get('title')
if title:
parts.append(f"# {title}")
meta = []
if article.get('author'):
meta.append(str(article.get('author')))
if article.get('published_at'):
meta.append(str(article.get('published_at')))
if meta:
parts.append('_' + ''.join(meta) + '_')
if article.get('description'):
parts.append(article.get('description'))
if article.get('image'):
parts.append(f"![image]({article.get('image')})")
body = article.get('body_text') or ''
if body:
parts.append(body)
return '\n\n'.join(parts)
if __name__ == '__main__':
PARSED.mkdir(parents=True, exist_ok=True)
files = sorted(PARSED.glob('*.json'))
for f in files:
try:
a = json.loads(f.read_text(encoding='utf-8'))
md = article_to_markdown(a)
out = f.with_suffix('.md')
out.write_text(md, encoding='utf-8')
print('Wrote', out)
except Exception as e:
print('Failed', f, e)

75
tools/run_crawl.py Normal file
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@ -0,0 +1,75 @@
#!/usr/bin/env python3
"""Simple orchestrator: crawl -> fetch -> extract -> store (json + md).
Usage: tools/run_crawl.py [--limit N] [--dry-run] [--seed URL]
"""
import argparse
import logging
import time
from pathlib import Path
from linetoday.frontier import Frontier
from linetoday.fetcher import Fetcher
from linetoday.extractor import extract_article
from linetoday.storage import store_snapshot, store_parsed
from linetoday.robots import RobotsManager
def main():
p = argparse.ArgumentParser()
p.add_argument('--limit', type=int, default=10)
p.add_argument('--dry-run', action='store_true')
p.add_argument('--seed', type=str, default='https://today.line.me/th/v3/tab')
p.add_argument('--ignore-robots', action='store_true')
p.add_argument('--verbose', action='store_true')
args = p.parse_args()
logging.basicConfig(level=logging.DEBUG if args.verbose else logging.INFO, format='%(asctime)s %(levelname)s %(message)s')
ua = 'LineTodayCrawler/0.1 (+mailto:ops@example.com)'
frontier = Frontier()
frontier.add(args.seed)
fetcher = Fetcher(user_agent=ua)
robots = RobotsManager(user_agent=ua)
fetched = 0
origin = 'https://today.line.me'
while fetched < args.limit and len(frontier) > 0:
url = frontier.pop()
if not url:
break
if not url.startswith(origin):
continue
path = url[len(origin):]
if not args.ignore_robots:
allowed = robots.allowed(origin, path)
if not allowed:
logging.info('robots disallow %s', url)
continue
logging.info('fetching %s', url)
res = fetcher.fetch(url)
status = res.get('status')
if status is None:
logging.error('error fetching %s: %s', url, res.get('error'))
if res.get('pause_seconds'):
logging.info('pausing for %s seconds', res['pause_seconds'])
time.sleep(res['pause_seconds'])
continue
if status != 200:
logging.info('skipping non-200 %s status=%s', url, status)
continue
html = res.get('text', '')
snap = store_snapshot(url, html)
article, links = extract_article(html, url)
if not args.dry_run:
parsed_path = store_parsed(article)
logging.info('stored parsed %s', parsed_path)
for link in links:
if link.startswith('/'):
link = origin + link
frontier.add(link)
fetched += 1
logging.info('done')
if __name__ == '__main__':
main()

449
uv.lock Normal file
View File

@ -0,0 +1,449 @@
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