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a0f27fa | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 | """Events pipeline — conferences, releases, and news.
Three sub-collectors:
1. Conferences: curated list + aideadlin.es scrape
2. Releases: HF trending models/spaces
3. News: RSS feeds from key AI/security blogs
"""
import logging
import time
from datetime import datetime, timezone
import feedparser
import requests
from src.config import CONFERENCES, HF_API, RSS_FEEDS
from src.db import insert_events
log = logging.getLogger(__name__)
def run_events_pipeline() -> int:
"""Run all event sub-collectors. Returns total events collected."""
log.info("Starting events pipeline ...")
all_events = []
# 1. Conference deadlines
conf_events = fetch_conference_deadlines()
all_events.extend(conf_events)
log.info("Conferences: %d", len(conf_events))
# 2. HF trending releases
release_events = fetch_hf_releases()
all_events.extend(release_events)
log.info("Releases: %d", len(release_events))
# 3. RSS news
news_events = fetch_rss_news()
all_events.extend(news_events)
log.info("News: %d", len(news_events))
if all_events:
insert_events(all_events)
log.info("Done — %d total events", len(all_events))
return len(all_events)
# ---------------------------------------------------------------------------
# Conferences
# ---------------------------------------------------------------------------
def fetch_conference_deadlines() -> list[dict]:
"""Return curated conference list as events + try aideadlin.es."""
events = []
# Static curated list
for conf in CONFERENCES:
deadline = conf.get("deadline", "")
conf_date = conf.get("date", "")
desc = conf.get("description", "")
if deadline and conf_date:
desc = f"{desc} Deadline: {deadline}. Conference: {conf_date}."
elif deadline:
desc = f"{desc} Deadline: {deadline}."
elif conf_date:
desc = f"{desc} Conference: {conf_date}."
events.append({
"category": "conference",
"title": conf["name"],
"description": desc,
"url": conf["url"],
"event_date": deadline or conf_date or "",
"source": "curated",
})
# Try aideadlin.es for dynamic deadlines
try:
resp = requests.get("https://aideadlin.es/ai-deadlines.json", timeout=15)
if resp.ok:
deadlines = resp.json()
for d in deadlines:
if d.get("deadline", "TBA") == "TBA":
continue
events.append({
"category": "conference",
"title": d.get("title", d.get("name", "")),
"description": d.get("full_name", ""),
"url": d.get("link", ""),
"event_date": d.get("deadline", ""),
"source": "aideadlin.es",
})
except (requests.RequestException, ValueError) as e:
log.warning("aideadlin.es fetch failed: %s", e)
return events
# ---------------------------------------------------------------------------
# HF/GitHub releases
# ---------------------------------------------------------------------------
def fetch_hf_releases() -> list[dict]:
"""Fetch trending models and spaces from HuggingFace."""
events = []
# Trending models
try:
resp = requests.get(
f"{HF_API}/models",
params={"sort": "trending", "limit": 15},
timeout=15,
)
if resp.ok:
for model in resp.json():
events.append({
"category": "release",
"title": model.get("id", ""),
"description": f"Trending model — {model.get('likes', 0)} likes, "
f"{model.get('downloads', 0)} downloads",
"url": f"https://huggingface.co/{model.get('id', '')}",
"event_date": model.get("lastModified", ""),
"source": "huggingface",
"relevance_score": None,
})
except (requests.RequestException, ValueError):
pass
time.sleep(0.5)
# Trending spaces
try:
resp = requests.get(
f"{HF_API}/spaces",
params={"sort": "trending", "limit": 10},
timeout=15,
)
if resp.ok:
for space in resp.json():
events.append({
"category": "release",
"title": f"Space: {space.get('id', '')}",
"description": f"Trending space — {space.get('likes', 0)} likes",
"url": f"https://huggingface.co/spaces/{space.get('id', '')}",
"event_date": space.get("lastModified", ""),
"source": "huggingface",
"relevance_score": None,
})
except (requests.RequestException, ValueError):
pass
return events
# ---------------------------------------------------------------------------
# RSS news
# ---------------------------------------------------------------------------
def fetch_rss_news() -> list[dict]:
"""Fetch recent entries from configured RSS feeds."""
events = []
for feed_config in RSS_FEEDS:
try:
feed = feedparser.parse(feed_config["url"])
for entry in feed.entries[:5]:
published = ""
if hasattr(entry, "published"):
published = entry.published
elif hasattr(entry, "updated"):
published = entry.updated
events.append({
"category": "news",
"title": entry.get("title", ""),
"description": _clean_html(entry.get("summary", ""))[:300],
"url": entry.get("link", ""),
"event_date": published,
"source": feed_config["name"],
"relevance_score": None,
})
except Exception as e:
log.warning("RSS fetch failed for %s: %s", feed_config['name'], e)
time.sleep(0.3)
return events
def _clean_html(text: str) -> str:
"""Strip HTML tags from text."""
import re
clean = re.sub(r"<[^>]+>", "", text)
return clean.replace("\n", " ").strip()
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