feat: parallel stories and posts fetching per followee
- Stories and posts fetched simultaneously via asyncio.gather - Semaphore limits concurrent followee checks (default 5) - CONCURRENT_CHECKS env var to tune parallelism - 5-10x faster first run on large followee lists
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@@ -13,6 +13,7 @@ class Config:
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session_file: str = os.getenv("SESSION_FILE", "/data/session")
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max_media_size_mb: int = int(os.getenv("MAX_MEDIA_SIZE_MB", "50"))
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max_post_age_hours: int = int(os.getenv("MAX_POST_AGE_HOURS", "24"))
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concurrent_checks: int = int(os.getenv("CONCURRENT_CHECKS", "5"))
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def validate(self) -> list[str]:
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errors = []
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@@ -1,3 +1,4 @@
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import asyncio
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import json
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import random
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import time
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@@ -282,55 +283,75 @@ class InstagramMonitor:
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followees = self._get_followees()
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logger.info(f"Checking {len(followees)} followees")
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for user in followees:
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semaphore = asyncio.Semaphore(config.concurrent_checks)
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async def process_followee(user: dict) -> list[dict]:
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username = user["username"]
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user_pk = user["pk"]
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results = []
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self._random_delay(2, 5)
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async with semaphore:
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self._random_delay(1, 3)
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# Fetch stories and posts in parallel
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stories_task = asyncio.to_thread(self._get_user_stories, user_pk)
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posts_task = asyncio.to_thread(self._get_user_posts, user_pk)
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stories, posts = await asyncio.gather(stories_task, posts_task)
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try:
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stories = self._get_user_stories(user_pk)
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if stories:
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logger.info(f"@{username}: {len(stories)} new stories")
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for story in stories:
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media_path = self._download_media(story, username, is_story=True)
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media_path = await asyncio.to_thread(
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self._download_media, story, username, True
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)
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if media_path:
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media_id = str(story.get("pk", story.get("id", "")))
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self._state[media_id] = datetime.utcnow().isoformat()
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self._save_state()
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yield {
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results.append({
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"type": "story",
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"username": username,
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"media_path": media_path,
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"caption": "",
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"shortcode": media_id,
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}
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self._random_delay(1, 2)
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except Exception as e:
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logger.error(f"Error processing stories for {username}: {e}")
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})
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await asyncio.to_thread(self._random_delay, 0.5, 1.5)
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self._random_delay(2, 3)
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if posts:
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logger.info(f"@{username}: {len(posts)} new posts")
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try:
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posts = self._get_user_posts(user_pk)
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for post in posts:
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caption = post.get("caption", {})
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caption_text = caption.get("text", "") if isinstance(caption, dict) else ""
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media_path = self._download_media(post, username)
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media_path = await asyncio.to_thread(
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self._download_media, post, username
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)
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if media_path:
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media_id = str(post.get("pk", post.get("id", "")))
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self._state[media_id] = datetime.utcnow().isoformat()
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self._save_state()
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yield {
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results.append({
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"type": "post",
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"username": username,
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"media_path": media_path,
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"caption": caption_text[:500],
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"shortcode": media_id,
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}
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self._random_delay(2, 4)
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except Exception as e:
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logger.error(f"Error processing posts for {username}: {e}")
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})
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await asyncio.to_thread(self._random_delay, 1, 2)
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return results
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# Process all followees in parallel (with semaphore limit)
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tasks = [process_followee(user) for user in followees]
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done_results = await asyncio.gather(*tasks, return_exceptions=True)
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for result in done_results:
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if isinstance(result, Exception):
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logger.error(f"Followee task failed: {result}")
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continue
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for item in result:
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yield item
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def cleanup_downloads(self, max_age_hours: int = 24) -> None:
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now = datetime.utcnow()
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