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Copy pathingester.py
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91 lines (75 loc) · 3.11 KB
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import logging
import os
import time
from datetime import datetime, timedelta, timezone
import config
import logging_handler
from base import BaseIngester, BasePublisher, RateLimitedError
from publishers.kinesis import KinesisPublisher
from sources.newsapi import NewsAPIIngester
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s [%(levelname)s] %(message)s",
datefmt="%Y-%m-%dT%H:%M:%SZ",
)
logger = logging.getLogger(__name__)
class IngestionService:
"""Orchestrates the fetch, transform, deduplicate, and publish cycle."""
def __init__(self, ingester: BaseIngester, publisher: BasePublisher) -> None:
self.ingester = ingester
self.publisher = publisher
self.poll_interval = int(os.getenv("POLL_INTERVAL_SECONDS", "60"))
self.lookback = int(os.getenv("LOOKBACK_SECONDS", str(self.poll_interval)))
self._seen_ids: set[str] = set()
def run(self) -> None:
logger.info(
"Ingestion service started - stream=%s, query='%s', interval=%ds, lookback=%ds",
os.getenv("KINESIS_STREAM_NAME"),
os.getenv("NEWS_QUERY", "all"),
self.poll_interval,
self.lookback,
)
last_fetch = datetime.now(timezone.utc) - timedelta(seconds=self.lookback)
while True:
cycle_start = datetime.now(timezone.utc)
logger.info("Polling for articles published since %s", last_fetch.isoformat())
try:
raw_articles = self.ingester.fetch(since=last_fetch)
except RateLimitedError as e:
logger.warning("Rate limit exhausted. Backing off for %ds before next poll.", e.retry_after)
time.sleep(e.retry_after)
continue
new_articles: list[dict] = []
for raw in raw_articles:
article = self.ingester.transform(raw)
if article is None:
continue
if article["article_id"] in self._seen_ids:
continue
self._seen_ids.add(article["article_id"])
new_articles.append(article)
if new_articles:
written = self.publisher.publish(new_articles)
logger.info(
"Cycle complete: %d new article(s), %d written to stream",
len(new_articles),
written,
)
else:
logger.info("Cycle complete: no new articles")
if len(self._seen_ids) > 2000:
self._seen_ids.clear()
logger.debug("Cleared seen_ids cache")
last_fetch = cycle_start
elapsed = (datetime.now(timezone.utc) - cycle_start).total_seconds()
sleep_for = max(0.0, self.poll_interval - elapsed)
logger.info("Next poll in %.1fs", sleep_for)
time.sleep(sleep_for)
if __name__ == "__main__":
config.load()
logging.getLogger().addHandler(logging_handler.SQSLogHandler())
service = IngestionService(
ingester=NewsAPIIngester(),
publisher=KinesisPublisher(),
)
service.run()