Files
SocialPub/tools/pasture/town/gen.py
T
thepraandClaude Opus 5.5 2873344690 The town: a fake community across the pasture, checked for coherence
tools/pasture/town/ (run through tools/pasture/town.sh) seeds a fake
community across every running peer and checks that all of them, and
PrivaPub, agree on what happened:

- drivers per platform on four dialect bases (Mastodon API, Misskey API,
  Lemmy API, PrivaPub with /clientapi), each with a selftest against
  its own server; what a server holds is read from its database, never
  by making it fetch;
- a deterministic generator (specs/village.json: 23 accounts on seven
  servers, roots with several personas, circles and communities, a
  cross-server follow graph, posts of every kind and visibility, reply
  rounds, likes, boosts, reactions, votes, edits, deletes, blocks,
  mutes and a report) and a seeder that keeps a ledger of what happened;
- a sweep that expects delivery and confinement per server, what each
  account sees, counts, threads, edits, deletes, follows and privacy
  rows (sibling keys, published days, canary root credentials in every
  peer's database, located posts that never leave), with what the peers
  do on purpose modelled (Misskey drops orphan replies, Lemmy keeps only
  community content, edits go to the post's own audience);
- known gaps (gaps.json) turn failures into xfail and passes into xpass;
  a self-contained report.html, and docs/INTEROP-BACKLOG.md.

The pasture moves to a public-looking subnet (peers with no private
address switch can join), takes PASTURE_PORT when 6971 is in use, adds
peers to a running pasture (run.sh add, Caddy recreated with its CA
kept), removes its volumes on down, writes every scenario check to
out/scenarios.jsonl, serves decePub as decepub.test for its e2e tests,
lifts GoToSocial's and Lemmy's own rate limits, trusts Caddy in
Mastodon (TRUSTED_PROXY_IP) and gains Hollo (Fedify), whose one login
owning several accounts is the nearest peer to PrivaPub's personas.

The first village found the four PrivaPub bugs fixed in the commits
before this one; the second run, on the fixed server, passes 2319 checks
with 11 failures left, all between peers or from Lemmy's send worker,
which the seeder now warms up first. ROADMAP records the owner's
decisions of 2026-10-04 (the town, and P9 back from the cut list).

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01LsXgEaXee4GCU1hwYgPJXw
2026-10-05 00:32:54 +02:00

536 lines
24 KiB
Python

"""The plan: a fake community drawn from a spec and its seed, the same on every run (tests/test_gen.py pins its hash).
A plan is a list of steps, each {n, phase, round, actor, verb, args, ref}. Accounts are named "<platform>/<username>",
objects by a ref ("p12"); the seeder turns refs into URIs as it goes. Phases run in order:
accounts every account, its profile, PrivaPub's roots and personas
groups PrivaPub circles and communities, Lemmy communities
graph follows (requests to locked accounts accepted, left pending or rejected), circle and community joins
content top-level posts, then reply rounds, each waiting for the round before to arrive
interact likes, boosts, reactions, votes, bookmarks
mutate edits, deletes, blocks, mutes, reports
The planner only asks a platform for what its driver can do (`caps`) and only lets an account touch what it could see.
"""
import hashlib
import json
import os
import sys
from core.rng import Rng
GENERATOR_VERSION = 1
HOSTS = {"privapub": "privapub.test", "gts": "gts.test", "mastodon": "mastodon.test", "misskey": "misskey.test",
"sharkey": "sharkey.test", "akkoma": "akkoma.test", "lemmy": "lemmy.test", "hollo": "hollo.test"}
SHORT = {"privapub": "pp", "gts": "gt", "mastodon": "ms", "misskey": "mk", "sharkey": "sk", "akkoma": "ak", "lemmy": "lm",
"hollo": "ho"}
MICRO = ("privapub", "gts", "mastodon", "misskey", "sharkey", "akkoma", "hollo")
CAPS = {
"privapub": {"post", "reply", "cw", "media", "poll", "like", "boost", "bookmark", "follow", "block", "mute", "report",
"dm", "delete", "edit", "vote", "react", "quote", "profile", "circle", "community", "located"},
"gts": {"post", "reply", "cw", "media", "poll", "like", "boost", "bookmark", "follow", "block", "mute", "report",
"dm", "delete", "edit", "vote", "profile"},
"mastodon": {"post", "reply", "cw", "media", "poll", "like", "boost", "bookmark", "follow", "block", "mute", "report",
"dm", "delete", "edit", "vote", "quote", "profile"},
"misskey": {"post", "reply", "cw", "media", "poll", "like", "react", "boost", "bookmark", "follow", "block", "mute",
"report", "dm", "delete", "vote", "quote", "profile"},
"sharkey": {"post", "reply", "cw", "media", "poll", "like", "react", "boost", "bookmark", "follow", "block", "mute",
"report", "dm", "delete", "vote", "quote", "profile", "edit"},
"akkoma": {"post", "reply", "cw", "media", "poll", "like", "boost", "bookmark", "follow", "block", "mute", "report",
"dm", "delete", "edit", "vote", "react", "quote", "profile"},
"lemmy": {"thread", "comment", "upvote", "downvote", "dm", "delete", "community", "edit", "block"},
"hollo": {"post", "reply", "cw", "media", "poll", "like", "boost", "bookmark", "follow", "block", "mute", "report",
"dm", "delete", "edit", "vote", "quote", "react", "profile"},
}
FIRST = ["ada", "bo", "cleo", "dario", "elif", "femi", "gaia", "hiro", "ines", "jun", "kai", "lia", "milo", "nadia",
"omar", "pia", "quinn", "rosa", "sami", "tea", "umbe", "vera", "wren", "xavi", "yuki", "zoe", "aldo", "bea",
"cosimo", "dora", "enzo", "flor", "gigi", "hana", "ivo", "jade", "kira", "luca", "mara", "nico"]
WORDS = {
"en": "the garden river morning bread market neighbour bicycle library rain coffee window festival map bridge "
"lantern harvest tide mountain postcard quiet bright small warm early late again together tomorrow".split(),
"it": "il giardino fiume mattina pane mercato vicino bicicletta biblioteca pioggia caffè finestra festa mappa ponte "
"lanterna raccolto marea montagna cartolina tranquillo luminoso piccolo caldo presto tardi insieme domani".split(),
"ja": "庭 川 朝 パン 市場 隣人 自転車 図書館 雨 コーヒー 窓 祭り 地図 橋 提灯 収穫 山 葉書 静か 明るい".split(),
"ar": "حديقة نهر صباح خبز سوق جار دراجة مكتبة مطر قهوة نافذة مهرجان خريطة جسر فانوس حصاد جبل هادئ".split(),
}
EMOJI = ["🌱", "🚲", "☕", "🌧", "🎉", "📚", "🌉", "🍞", "🗺", "🏔"]
TAGS = ["town", "pasture", "garden", "market", "rain", "bikes", "books", "festival"]
REACTIONS = ["🎉", "👍", "❤", "🔥", "😂"]
PLACES = [(45.4642, 9.19, "Milano"), (45.07, 7.6869, "Torino"), (41.9028, 12.4964, "Roma"), (48.8566, 2.3522, "Paris"),
(52.52, 13.405, "Berlin"), (35.6762, 139.6503, "Tokyo")]
def load(path):
if not os.path.isabs(path) and not os.path.exists(path):
path = os.path.join(os.path.dirname(os.path.abspath(__file__)), "specs", path if path.endswith(".json") else f"{path}.json")
with open(path) as f:
return json.load(f)
class Planner:
def __init__(self, spec):
self.spec = spec
self.rng = Rng(spec["seed"], f"{spec['name']}/v{GENERATOR_VERSION}")
self.steps = []
self.accounts = {} # key -> account dict
self.follows = {} # follower key -> set of followee keys (accepted)
self.objects = {} # ref -> object dict
self.groups = {} # ref -> group dict
self.n = 0
def step(self, phase, actor, verb, args, ref=None, round_=0):
self.n += 1
s = {"n": self.n, "phase": phase, "round": round_, "actor": actor, "verb": verb, "args": args}
if ref:
s["ref"] = ref
self.steps.append(s)
return s
@staticmethod
def acct(key):
platform, user = key.split("/", 1)
return f"{user}@{HOSTS[platform]}"
def text(self, rng, lang, n_words, ref):
words = WORDS.get(lang, WORDS["en"])
body = " ".join(rng.choice(words) for _ in range(n_words))
if rng.chance(0.3):
body += " " + rng.choice(EMOJI)
return f"{body} ({ref})"
# -- accounts
def plan_accounts(self):
rng = self.rng.sub("accounts")
prof = self.spec.get("profiles", {})
langs = prof.get("langs", {"en": 70, "it": 15, "ja": 8, "ar": 7})
used = set()
for platform, conf in self.spec["peers"].items():
if platform == "privapub":
for r in range(conf.get("roots", 1)):
# root logins and passwords are canaries: neither may ever appear on another server or in a log line
canary = hashlib.sha256(f"{self.spec['seed']}/root{r}".encode()).hexdigest()
root = f"rootcanary{r + 1:02d}{canary[:8]}"
password = f"Canary-{canary[8:28]}-9!"
for _ in range(rng.span(conf.get("personas", [2, 3]))):
self._account(rng, platform, used, prof, langs, root=root, password=password)
else:
for _ in range(conf.get("accounts", 3)):
self._account(rng, platform, used, prof, langs)
def _account(self, rng, platform, used, prof, langs, root=None, password=None):
while True:
name = f"{rng.choice(FIRST)}_{SHORT[platform]}{rng.between(1, 99):02d}"
if name not in used:
used.add(name)
break
key = f"{platform}/{name}"
lang = rng.weighted(langs)
locked = platform != "lemmy" and rng.chance(prof.get("locked", 0.2))
account = {
"platform": platform, "username": name,
"password": password or f"Town-{hashlib.sha256(name.encode()).hexdigest()[:12]}-7!",
"name": name.split("_")[0].capitalize() + f" of {platform}", "lang": lang,
"bio": self.text(rng, lang, rng.span(prof.get("bioWords", [5, 20])), f"bio-{name}"),
"fields": [[f"field{i}", rng.choice(WORDS["en"])] for i in range(rng.span(prof.get("fields", [0, 3])))],
"locked": locked, "bot": rng.chance(prof.get("bot", 0.05)),
"avatar_seed": f"avatar-{name}" if rng.chance(prof.get("avatar", 0.9)) else None,
"header_seed": f"header-{name}" if rng.chance(prof.get("header", 0.5)) else None,
"root": root,
}
self.accounts[key] = account
self.step("accounts", key, "account", account)
def keys(self, platform=None, micro=False):
return [k for k, a in self.accounts.items()
if (platform is None or a["platform"] == platform) and (not micro or a["platform"] in MICRO)]
# -- groups
def plan_groups(self):
rng = self.rng.sub("groups")
conf = self.spec["peers"]
personas = self.keys("privapub")
for i in range(conf.get("privapub", {}).get("circles", 0)):
owner = rng.choice(personas)
ref = f"circle{i + 1}"
self.groups[ref] = {"kind": "circle", "owner": owner, "members": {owner}, "name": f"{ref}_{rng.between(100, 999)}"}
self.step("groups", owner, "group", {"kind": "circle", "name": self.groups[ref]["name"]}, ref)
for i in range(conf.get("privapub", {}).get("communities", 0)):
owner = rng.choice(personas)
ref = f"ppcomm{i + 1}"
self.groups[ref] = {"kind": "community", "host": "privapub", "owner": owner, "members": set(),
"name": f"square{i + 1}_{rng.between(100, 999)}"}
self.step("groups", owner, "group", {"kind": "community", "name": self.groups[ref]["name"]}, ref)
for i in range(conf.get("lemmy", {}).get("communities", 0)):
lemmings = self.keys("lemmy")
if not lemmings:
break
owner = rng.choice(lemmings)
ref = f"lmcomm{i + 1}"
self.groups[ref] = {"kind": "community", "host": "lemmy", "owner": owner, "members": {owner},
"name": f"plaza{i + 1}_{rng.between(100, 999)}"}
self.step("groups", owner, "group", {"kind": "community", "name": self.groups[ref]["name"]}, ref)
# -- the graph
def plan_graph(self):
rng = self.rng.sub("graph")
g = self.spec.get("graph", {})
micro = self.keys(micro=True)
popularity = {k: 1 + rng.below(5) for k in micro}
for follower in micro:
n = rng.span(g.get("follows", [3, 8]))
candidates = [k for k in micro if k != follower]
weights = {k: popularity[k] * (3 if k.split("/")[0] == "privapub" or follower.startswith("privapub/") else 1)
for k in candidates}
chosen = set()
while len(chosen) < min(n, len(candidates)):
chosen.add(rng.weighted({k: w for k, w in weights.items() if k not in chosen}))
for target in sorted(chosen):
self._follow(rng, g, follower, target)
# mutuals: some of those followed follow back
for target in sorted(chosen):
if rng.chance(g.get("mutual", 0.4)) and follower not in self.follows.get(target, set()):
self._follow(rng, g, target, follower)
# circles: members are local siblings' neighbours and remote followers of the owner
for ref, grp in sorted(self.groups.items()):
if grp["kind"] == "circle":
pool = sorted(k for k in micro if k != grp["owner"] and k.split("/")[0] in ("privapub", "gts", "mastodon", "akkoma"))
for member in rng.sample(pool, min(len(pool), self.spec.get("circleMembers", 4))):
grp["members"].add(member)
self.step("graph", member, "join", {"group": ref})
self.step("graph", grp["owner"], "approve", {"group": ref, "member": member})
elif grp["host"] == "privapub":
pool = sorted(k for k in self.accounts if k != grp["owner"])
for member in rng.sample(pool, min(len(pool), self.spec.get("communityMembers", 6))):
grp["members"].add(member)
self.step("graph", member, "join", {"group": ref})
else:
pool = sorted(k for k in self.accounts if k != grp["owner"] and self.accounts[k]["platform"] in ("privapub", "lemmy", "mastodon", "gts"))
for member in rng.sample(pool, min(len(pool), self.spec.get("communityMembers", 6))):
grp["members"].add(member)
self.step("graph", member, "join", {"group": ref})
def _follow(self, rng, g, follower, target):
self.step("graph", follower, "follow", {"target": target})
if self.accounts[target]["locked"]:
fate = rng.weighted({"accept": 1 - g.get("pending", 0.1) - g.get("rejected", 0.05),
"pending": g.get("pending", 0.1), "reject": g.get("rejected", 0.05)})
if fate == "accept":
self.step("graph", target, "accept", {"target": follower})
elif fate == "reject":
self.step("graph", target, "reject", {"target": follower})
return
else:
return
self.follows.setdefault(follower, set()).add(target)
def followers(self, key):
return {f for f, targets in self.follows.items() if key in targets}
def can_see(self, viewer, obj):
if viewer == obj["author"]:
return True
v = obj["visibility"]
if v in ("public", "unlisted"):
return True
if v == "followers":
return viewer in obj["followers"] or viewer in obj["mentions"]
if v == "direct":
return viewer in obj["mentions"]
if v == "circle":
return viewer in self.groups[obj["group"]]["members"]
if v == "community":
return True
return False
# -- content
def plan_content(self):
rng = self.rng.sub("content")
c = self.spec.get("content", {})
mix = c.get("mix", {"text": 40, "cw": 8, "tags": 10, "mention": 10, "image": 8, "poll": 6, "quote": 5})
vis = c.get("visibility", {"public": 55, "unlisted": 15, "followers": 15, "direct": 10, "circle": 5})
micro = self.keys(micro=True)
top = []
for i in range(c.get("posts", 60)):
author = rng.choice(micro)
platform = author.split("/")[0]
obj = self._post(rng, f"p{len(self.objects) + 1}", author, platform, mix, vis, c, top)
if obj:
top.append(obj)
# community posts: Lemmy threads, posts into the PrivaPub community
for ref, grp in sorted(self.groups.items()):
if grp["kind"] != "community":
continue
posters = sorted(m for m in grp["members"] | {grp["owner"]}
if (grp["host"] == "lemmy" and m.startswith("lemmy/")) or (grp["host"] == "privapub" and m.startswith(("privapub/", "lemmy/"))))
for _ in range(c.get("communityPosts", 4)):
if not posters:
break
author = rng.choice(posters)
oref = f"p{len(self.objects) + 1}"
obj = {"ref": oref, "author": author, "visibility": "community", "group": ref, "mentions": set(),
"followers": set(), "kind": "thread", "round": 0}
self.objects[oref] = obj
lang = self.accounts[author]["lang"]
self.step("content", author, "post", {"visibility": "community", "group": ref,
"title": f"{rng.choice(WORDS['en']).capitalize()} thread {oref}",
"text": self.text(rng, lang, rng.between(8, 30), oref)}, oref)
top.append(obj)
# reply rounds
rounds = c.get("replyRounds", 3)
previous = top
for rnd in range(1, rounds + 1):
current = []
for parent in previous:
if not rng.chance(c.get("replies", 0.45) if rnd == 1 else c.get("deeperReplies", 0.35)):
continue
repliers = [k for k in self.accounts if k != parent["author"] and self.can_see(k, parent)
and self._can_reply(k, parent)]
if not repliers:
continue
for _ in range(1 if rnd > 1 else rng.between(1, 2)):
replier = rng.choice(repliers)
obj = self._reply(rng, replier, parent, rnd)
if obj:
current.append(obj)
previous = current
def _can_reply(self, key, parent):
platform = key.split("/")[0]
if parent["visibility"] == "community":
grp = self.groups[parent["group"]]
return key in grp["members"] or key == grp["owner"]
if platform == "lemmy":
return False
if parent["visibility"] == "circle":
return platform == "privapub" or key in self.groups[parent["group"]]["members"]
if parent["visibility"] == "located":
return False
return "reply" in CAPS[platform]
def _post(self, rng, ref, author, platform, mix, vis, c, top):
caps = CAPS[platform]
vweights = {k: w for k, w in vis.items() if k in ("public", "unlisted", "followers", "direct")
or (k in ("circle", "located") and k in caps)}
visibility = rng.weighted(vweights)
circles = []
if visibility == "circle":
circles = [r for r, g in sorted(self.groups.items()) if g["kind"] == "circle" and g["owner"] == author]
if not circles:
visibility = "followers"
# circle and located posts go through /clientapi, which takes text, a warning and a title only
plain = visibility in ("circle", "located")
kind = rng.weighted({k: w for k, w in mix.items()
if (k in ("text", "tags", "mention") or k in caps or (k == "image" and "media" in caps))
and not (k == "quote" and not top)
and not (plain and k in ("image", "poll", "quote", "mention", "tags"))})
lang = self.accounts[author]["lang"]
args = {"visibility": visibility, "text": self.text(rng, lang, rng.between(4, 40), ref), "language": lang}
obj = {"ref": ref, "author": author, "visibility": visibility, "mentions": set(), "kind": kind, "round": 0,
"followers": set(self.followers(author)), "group": None}
if visibility == "circle":
obj["group"] = circles[0]
args["group"] = circles[0]
if visibility == "located":
lat, lng, place = rng.choice(PLACES)
args["location"] = {"lat": lat, "lng": lng, "range_km": rng.choice([2, 5, 20])}
args["text"] += f" near {place}"
if visibility == "direct" or kind == "mention":
others = [k for k in self.keys(micro=True) if k != author]
count = rng.between(1, 3) if visibility == "direct" else 1
obj["mentions"] = set(rng.sample(others, count))
args["mentions"] = sorted(obj["mentions"])
if kind == "cw":
args["cw"] = f"{rng.choice(WORDS['en'])} {rng.choice(['spoilers', 'food', 'weather', 'politics'])}"
obj["cw"] = args["cw"]
elif kind == "tags":
args["tags"] = rng.sample(TAGS, rng.between(1, 3))
elif kind == "image":
args["media"] = [{"kind": "image", "seed": f"{ref}-{i}", "alt": f"picture {i + 1} of {ref}",
"sensitive": rng.chance(0.15)} for i in range(rng.between(1, 3))]
elif kind == "poll":
opts = rng.sample(WORDS["en"], rng.between(2, 4))
args["poll"] = {"options": opts, "multiple": rng.chance(0.3), "expires_in": 86400}
obj["options"] = len(opts)
elif kind == "quote":
candidates = [o for o in top if o["visibility"] in ("public", "unlisted") and o["kind"] != "quote"]
if not candidates or "quote" not in caps:
kind = obj["kind"] = "text"
else:
target = rng.choice(candidates)
args["quote"] = target["ref"]
obj["quote"] = target["ref"]
self.objects[ref] = obj
self.step("content", author, "post", args, ref)
return obj
def _reply(self, rng, replier, parent, rnd):
ref = f"p{len(self.objects) + 1}"
platform = replier.split("/")[0]
if parent["visibility"] == "community" and platform == "lemmy":
kind = "comment"
elif platform == "lemmy":
return None
else:
kind = "reply"
visibility = parent["visibility"] if parent["visibility"] in ("direct", "followers", "circle", "community") else \
rng.weighted({"public": 70, "unlisted": 30})
if visibility == "circle" and platform != "privapub":
visibility = "direct" # a remote member answers a circle post as the post's own audience
mentions = set()
if visibility == "direct":
mentions = (parent["mentions"] | {parent["author"]}) - {replier}
elif visibility in ("public", "unlisted", "followers") and parent["author"].split("/")[0] in MICRO \
and parent["author"] != replier:
mentions = {parent["author"]} # clients mention the account replied to, and servers deliver by mention
lang = self.accounts[replier]["lang"]
args = {"visibility": visibility, "text": self.text(rng, lang, rng.between(3, 25), ref), "reply_to": parent["ref"],
"language": lang}
if mentions:
args["mentions"] = sorted(mentions)
if visibility == "circle":
args["group"] = parent["group"]
if visibility == "community":
grp = self.groups[parent["group"]]
if platform == "privapub" and grp["host"] == "privapub":
args["group"] = parent["group"]
elif platform != "lemmy":
args["visibility"] = "public" # a microblog reply to a community thread is a public reply the group relays
obj = {"ref": ref, "author": replier, "visibility": visibility, "mentions": mentions, "kind": kind,
"round": rnd, "parent": parent["ref"], "followers": set(self.followers(replier)), "group": parent.get("group")}
self.objects[ref] = obj
self.step("content", replier, "post", args, ref, rnd)
return obj
# -- interactions
def plan_interactions(self):
rng = self.rng.sub("interact")
conf = self.spec.get("interactions", {})
for ref, obj in sorted(self.objects.items(), key=lambda kv: int(kv[0][1:])):
if obj["visibility"] == "located":
continue
viewers = [k for k in self.accounts if k != obj["author"] and self.can_see(k, obj)
and self._can_interact(k, obj)]
if not viewers:
continue
for k in rng.sample(viewers, rng.span(conf.get("likes", [0, 4]))):
platform = k.split("/")[0]
if platform == "lemmy":
self.step("interact", k, "like" if rng.chance(0.75) else "downvote", {"target": ref})
elif "react" in CAPS[platform] and rng.chance(conf.get("react", 0.3)):
self.step("interact", k, "react", {"target": ref, "emoji": rng.choice(REACTIONS)})
else:
self.step("interact", k, "like", {"target": ref})
if obj["visibility"] in ("public", "unlisted"):
for k in rng.sample([v for v in viewers if "boost" in CAPS[v.split("/")[0]]], rng.span(conf.get("boosts", [0, 2]))):
self.step("interact", k, "boost", {"target": ref})
if obj.get("options"):
for k in rng.sample([v for v in viewers if "vote" in CAPS[v.split("/")[0]]],
round(len(viewers) * conf.get("vote", 0.6))):
self.step("interact", k, "vote", {"target": ref, "choices": [rng.below(obj["options"])]})
if rng.chance(conf.get("bookmark", 0.1)):
k = rng.choice([v for v in viewers if "bookmark" in CAPS[v.split("/")[0]]] or [None])
if k:
self.step("interact", k, "bookmark", {"target": ref})
def _can_interact(self, key, obj):
platform = key.split("/")[0]
if obj["visibility"] == "community":
grp = self.groups[obj["group"]]
return key in grp["members"] or key == grp["owner"]
if platform == "lemmy":
return False
if obj["visibility"] == "circle":
return key in self.groups[obj["group"]]["members"]
return True
# -- mutations
def plan_mutations(self):
rng = self.rng.sub("mutate")
m = self.spec.get("mutations", {})
for ref, obj in sorted(self.objects.items(), key=lambda kv: int(kv[0][1:])):
platform = obj["author"].split("/")[0]
if "edit" in CAPS[platform] and rng.chance(m.get("edit", 0.08)) and obj["visibility"] not in ("circle", "community", "located"):
lang = self.accounts[obj["author"]]["lang"]
# an edit keeps the names the post had, as a client's edit box does; dropping them changes who it is for
self.step("mutate", obj["author"], "edit", {"target": ref, "text": self.text(rng, lang, 6, ref) + " (edited)",
"mentions": sorted(obj["mentions"]), "cw": obj.get("cw")})
obj["edited"] = True
for ref, obj in sorted(self.objects.items(), key=lambda kv: int(kv[0][1:])):
if obj["round"] > 0 and rng.chance(m.get("delete", 0.04)) and obj["visibility"] not in ("circle", "located"):
self.step("mutate", obj["author"], "delete", {"target": ref})
obj["deleted"] = True
micro = self.keys(micro=True)
for verb, count in (("block", m.get("blocks", 2)), ("mute", m.get("mutes", 2))):
for _ in range(count):
a, b = rng.sample(micro, 2)
self.step("mutate", a, verb, {"target": b})
for _ in range(m.get("reports", 1)):
reporter = rng.choice(micro)
theirs = [o for o in self.objects.values() if o["author"] != reporter and o["visibility"] == "public"
and o["author"].split("/")[0] in MICRO]
if theirs:
o = rng.choice(theirs)
self.step("mutate", reporter, "report", {"target": o["author"], "refs": [o["ref"]], "comment": "town report"})
def plan(self):
self.plan_accounts()
self.plan_groups()
self.plan_graph()
self.plan_content()
self.plan_interactions()
self.plan_mutations()
return self.steps
def plan(spec):
return Planner(spec).plan()
def snapshot(planner):
"""The planner's world as JSON (sets as sorted lists), stored with a run so later generator changes never re-read it."""
def plain(v):
if isinstance(v, set):
return sorted(v)
if isinstance(v, dict):
return {k: plain(x) for k, x in v.items()}
if isinstance(v, list):
return [plain(x) for x in v]
return v
return {"version": GENERATOR_VERSION, "steps": planner.steps, "accounts": planner.accounts,
"objects": plain(planner.objects), "groups": plain(planner.groups), "follows": plain(planner.follows)}
class Stored(Planner):
"""A Planner rebuilt from a run's plan.json instead of from the spec."""
def __init__(self, snap):
self.spec = None
self.steps = snap["steps"]
self.accounts = snap["accounts"]
self.objects = {r: {k: (set(v) if k in ("mentions", "followers") else v) for k, v in o.items()} for r, o in snap["objects"].items()}
self.groups = {r: {k: (set(v) if k == "members" else v) for k, v in g.items()} for r, g in snap["groups"].items()}
self.follows = {k: set(v) for k, v in snap["follows"].items()}
def plan(self):
return self.steps
def digest(steps):
return hashlib.sha256(json.dumps(steps, sort_keys=True, ensure_ascii=False).encode()).hexdigest()
def main(args):
spec = load(args[0] if args else "village")
steps = plan(spec)
if "--summary" in args:
from collections import Counter
print(json.dumps({"steps": len(steps), "sha": digest(steps),
"by": dict(Counter(f"{s['phase']}:{s['verb']}" for s in steps))}, indent=1))
return 0
for s in steps:
print(json.dumps(s, ensure_ascii=False))
return 0
if __name__ == "__main__":
sys.exit(main(sys.argv[1:]))