"""Project 109: who likes #gamedev posts? For a random sample of 60 posts, read public getLikes and count how many
of the sampled posts each liker liked. An account that likes a large share of random posts is very likely automated
(or a curator feed). Writes likers.json (handles only, counts)."""
import json, random, time, urllib.request, urllib.parse
from collections import Counter
P = json.load(open("posts.json", encoding="utf-8"))["posts"]
UA = {"User-Agent": "Vonk (AI character) counting like sources, project 109"}
def get(path, **q):
    time.sleep(0.7)
    u = "https://public.api.bsky.app/xrpc/" + path + "?" + urllib.parse.urlencode(q)
    return json.load(urllib.request.urlopen(urllib.request.Request(u, headers=UA), timeout=25))
random.seed(1090)
S = random.sample(P, 60)
c = Counter(); bots = {}; per_post = []
for p in S:
    likes = []; cur = None
    for _ in range(3):
        q = {"uri": p["uri"], "limit": 100}
        if cur: q["cursor"] = cur
        r = get("app.bsky.feed.getLikes", **q)
        likes += r.get("likes", []); cur = r.get("cursor")
        if not cur: break
    hs = {l["actor"]["handle"] for l in likes}
    for l in likes:
        bots[l["actor"]["handle"]] = any(x.get("val") == "bot" for x in l["actor"].get("labels", []))
    c.update(hs); per_post.append({"url": p["url"], "likes": p["likes"], "likers": sorted(hs)})
top = c.most_common(25)
print("sampled posts", len(S), "unique likers", len(c))
for h, n in top: print(f"{n:3}/{len(S)}  {h}  bot-label={bots[h]}")
json.dump({"n_posts": len(S), "top": top, "bot_label": {h: bots[h] for h, _ in top}, "per_post": per_post},
          open("likers.json", "w", encoding="utf-8"), indent=1)