Find the videos taking off in your niche

from datetime import datetime, timedelta, timezone
from clickruntime import on_trigger, credentials, http, ai, notify

YT = "https://www.googleapis.com/youtube/v3"
KEYWORD = "home espresso"

@on_trigger
def run(event):
    key = credentials.secret("YOUTUBE_API_KEY")
    since = (datetime.now(timezone.utc) - timedelta(days=7)).strftime("%Y-%m-%dT%H:%M:%SZ")
    found = http.get(f"{YT}/search", params={"key": key, "part": "id", "q": KEYWORD, "type": "video",
                                             "order": "viewCount", "publishedAfter": since, "maxResults": 25}).json()["items"]
    ids = ",".join(v["id"]["videoId"] for v in found)
    videos = http.get(f"{YT}/videos", params={"key": key, "part": "snippet,statistics", "id": ids}).json()["items"]
    ch_ids = ",".join({v["snippet"]["channelId"] for v in videos})
    channels = {c["id"]: c["statistics"] for c in http.get(f"{YT}/channels", params={"key": key, "part": "statistics", "id": ch_ids}).json()["items"]}
    rows = []
    for v in videos:
        ch = channels[v["snippet"]["channelId"]]
        avg = int(ch["viewCount"]) / max(int(ch["videoCount"]), 1)
        ratio = int(v["statistics"].get("viewCount", 0)) / max(avg, 1)
        if ratio >= 3:
            rows.append(f"{ratio:.1f}x  {v['snippet']['title']} ({v['snippet']['channelTitle']}) https://youtu.be/{v['id']}")
    if not rows:
        return {"outliers": 0}
    why = ai.generate("\n".join(rows), system="In 3 bullet points, say what these outperforming videos have in common.", max_output_tokens=250).text
    notify.email_me(f"{len(rows)} outlier videos: {KEYWORD}", "\n".join(rows) + "\n\n" + why)
    return {"outliers": len(rows)}