Files
DemonGatanjieu-Anomalous_Mo…/api/metadata.py
T
DemonGatanjieuandClaude Opus 5.5 142280e4ec Scans ask when Civitai cannot be reached; linked models keep outside info
Before an online scan (the scan page, a card's radar, after a download or
an import), scan_connection.js asks GET /anomalous/civitai_check, which
tries both of Civitai's addresses. When neither answers, a dialog says
why and offers Scan from the files (the offline scan, so nothing waits on
every model), Set a proxy (Settings → Models, Network) or Cancel. A check
that reached Civitai is trusted for five minutes. anomalousConfirm takes
okClass, so this choice is not drawn as a delete.

A model that is a link with no info beside it shows the info beside the
file it links to (metadata._info_base): A1111's Civitai Helper leaves
.civitai.info there. Only read there; covers, edits and scans stay beside
the link.

Checked on the isolated ComfyUI with the check and the scan request
stubbed in the page: the dialog's three choices (from files posts
offline_only, set a proxy opens the Models tab, cancel posts nothing),
an answering Civitai scans online without asking, and a second scan
skips the check.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2026-10-16 22:21:57 +08:00

250 lines
11 KiB
Python

import os
import sys
import json
import urllib.parse
import subprocess
import threading
import asyncio
import copy
from functools import lru_cache
from aiohttp import web
import folder_paths
import struct
try:
from ..model_identity import USER_INFO_SUFFIX, is_unmatched, read_json, sidecar_file_hash, sidecar_info, unmatched_reason
except ImportError:
from model_identity import USER_INFO_SUFFIX, is_unmatched, read_json, sidecar_file_hash, sidecar_info, unmatched_reason
try:
from ..model_kind import inspect_file
except ImportError:
from model_kind import inspect_file
# Fields the model editor sets: <model>.anomalous.json key -> metadata key.
USER_FIELDS = {"custom_name": "custom_name", "custom_notes": "custom_notes", "source_url": "source_url"}
def _select_info_file(data, file_path):
"""Select the Civitai file entry that actually describes ``file_path``.
A model version may contain a checkpoint, text encoder, and VAE in the same
``files`` array. Taking the first SHA256 silently assigns the dependency's
hash to every local sidecar copied from that version. Physical byte size is
the strongest cheap discriminator available here and remains valid after a
local rename. Filenames are intentionally excluded: local renames are the
reason provenance recovery exists and cannot be identity evidence.
"""
entries = []
for file_info in data.get("files", []):
if not isinstance(file_info, dict):
continue
hashes = file_info.get("hashes", {})
sha256 = hashes.get("SHA256") if isinstance(hashes, dict) else None
if not sha256:
continue
size_bytes = None
try:
if file_info.get("sizeKB") is not None:
size_bytes = int(round(float(file_info["sizeKB"]) * 1024))
except (TypeError, ValueError, OverflowError):
pass
entries.append((file_info, str(sha256), size_bytes))
if not entries:
return None
try:
physical_size = os.path.getsize(file_path)
except OSError:
physical_size = None
if physical_size is not None:
size_matches = [entry for entry in entries if entry[2] == physical_size]
if len(size_matches) == 1:
return size_matches[0][0]
if len(size_matches) > 1:
return None
# Offline-generated metadata commonly contains one injected hash without
# Civitai size/name data. It is safe only when there is a single candidate.
if len(entries) == 1:
return entries[0][0]
return None
def _select_info_hash(data, file_path):
selected = _select_info_file(data, file_path)
if not selected:
return ""
hashes = selected.get("hashes", {})
return str(hashes.get("SHA256", "")) if isinstance(hashes, dict) else ""
def _positive_civitai_id(value):
"""Return a real Civitai identifier, excluding offline sentinel values."""
if isinstance(value, bool):
return None
try:
parsed = int(value)
except (TypeError, ValueError, OverflowError):
return None
return parsed if parsed > 0 else None
def _info_base(file_path, base_path):
"""Where the model's info files are read: beside the model as named; for a link with none
beside it, beside the file it links to, where another tool (A1111's Civitai Helper) may
have left them. Only read there: covers, edits and scans stay beside the link."""
if os.path.islink(file_path) and not any(os.path.exists(base_path + suffix) for suffix in (".info", ".civitai.info")):
return os.path.splitext(os.path.realpath(file_path))[0]
return base_path
def _read_metadata(file_path):
base_path = os.path.splitext(file_path)[0]
info_base = _info_base(file_path, base_path)
metadata = {
"name": os.path.basename(base_path),
"description": "",
"notes": "",
"trainedWords": [],
"baseModel": "",
"civitai_url": "",
"source_url": "",
"hash": "",
"hash_algorithm": "sha256",
"hash_scope": "file",
"hash_source": "",
"custom_name": "",
"custom_notes": "",
"version_name": "", # the Civitai version ("v2.0", "Illustrious"…), told apart on the card
"base_guess": "", # no base model known yet (not scanned): what the file's header tells
# "civitai" (matched), "local" (only what the file tells: no match, or offline) or "" (not scanned)
"info_source": "",
"unmatched_reason": "", # for "local": not_found | network | offline | "" (scanned before this was kept)
"user_fields": [],
"scan_choice": "", # the user's "skip" / "scan" (model_identity.scan_choice)
"not_drawing": False, # not scanned yet, and its header looks like no drawing model
}
info_files = [f"{info_base}.info", f"{info_base}.civitai.info"]
for info_file in info_files:
if os.path.exists(info_file):
try:
with open(info_file, 'r', encoding='utf-8') as f:
data = json.load(f)
name = data.get("name", "")
if "model" in data and isinstance(data["model"], dict):
model_name = data["model"].get("name", "")
# A model and version of one name (what the file alone tells) read once.
name = f"{model_name} - {name}" if model_name and name and model_name != name else model_name or name
description = data.get("description", "") or ""
if not description and "model" in data and isinstance(data["model"], dict):
description = data["model"].get("description", "")
notes = data.get("notes", "")
trained_words = data.get("trainedWords", [])
base_model = data.get("baseModel", "")
model_id = _positive_civitai_id(data.get("modelId"))
version_id = _positive_civitai_id(data.get("id"))
civitai_url = ""
if model_id is not None:
# Handle Civitai's new mature content policy
nsfw_level = data.get("nsfwLevel", 1)
is_nsfw = False
if "model" in data and isinstance(data["model"], dict):
is_nsfw = data["model"].get("nsfw", False)
domain = "civitai.red" if (nsfw_level > 1 or is_nsfw) else "civitai.com"
civitai_url = f"https://{domain}/models/{model_id}"
if version_id is not None:
civitai_url += f"?modelVersionId={version_id}"
selected_file = _select_info_file(data, file_path)
hash_val, hash_source = sidecar_file_hash(data, file_path, selected_file)
if hash_val:
metadata["hash_source"] = hash_source
if name: metadata["name"] = name
if description: metadata["description"] = description
if notes: metadata["notes"] = notes
if trained_words: metadata["trainedWords"] = trained_words
if base_model: metadata["baseModel"] = base_model
if civitai_url: metadata["civitai_url"] = civitai_url
if model_id is not None: metadata["model_id"] = model_id
if version_id is not None: metadata["version_id"] = version_id
if version_id is not None and isinstance(data.get("model"), dict) and isinstance(data.get("name"), str):
metadata["version_name"] = data["name"].strip()
if hash_val: metadata["hash"] = hash_val
if "anomalous_custom_name" in data and data["anomalous_custom_name"]: metadata["custom_name"] = data["anomalous_custom_name"]
if "anomalous_custom_notes" in data and data["anomalous_custom_notes"]: metadata["custom_notes"] = data["anomalous_custom_notes"]
if "anomalous_source_url" in data and data["anomalous_source_url"]: metadata["source_url"] = data["anomalous_source_url"]
except Exception:
pass
scan = sidecar_info(info_base)
if scan is not None:
metadata["info_source"] = "local" if is_unmatched(scan) else "civitai"
metadata["unmatched_reason"] = unmatched_reason(scan)
if scan is None:
found = inspect_file(file_path)
if not metadata["baseModel"]:
metadata["base_guess"] = found.get("base") or ""
# A header that reads but names no drawing model kind (a voice model, say).
metadata["not_drawing"] = found["format"] == "safetensors" and not found["kind"]
# The user's own layer comes last and wins, also when a field was cleared on purpose ("").
user = read_json(base_path + USER_INFO_SUFFIX) or {}
if user.get("scan") in ("skip", "scan"):
metadata["scan_choice"] = user["scan"]
for key, field in USER_FIELDS.items():
if isinstance(user.get(key), str):
metadata[field] = user[key]
metadata["user_fields"].append(field)
return metadata
def _file_signature(file_path):
try:
stat = os.stat(file_path)
return (stat.st_size, stat.st_mtime_ns, stat.st_ctime_ns)
except OSError:
return None
def _metadata_signature(file_path):
base_path = os.path.splitext(file_path)[0]
return (
_file_signature(file_path),
_file_signature(f"{base_path}.info"),
_file_signature(f"{base_path}.civitai.info"),
_file_signature(base_path + USER_INFO_SUFFIX),
)
@lru_cache(maxsize=4096)
def _get_metadata_cached(file_path, signature):
# ``signature`` is deliberately unused by the parser itself; it is part of
# the cache key and changes whenever the model or either metadata sidecar
# changes. The cache is bounded so removed/renamed models cannot grow it
# without limit.
return _read_metadata(file_path)
def get_metadata(file_path):
# As named, not resolved: a model that is a link has its covers and info beside the link.
normalized_path = os.path.abspath(file_path)
signature = _metadata_signature(normalized_path)
# Metadata contains mutable lists. Never expose the cached object directly.
return copy.deepcopy(_get_metadata_cached(normalized_path, signature))
def clear_metadata_cache():
_get_metadata_cached.cache_clear()
def get_metadata_cache_info():
return _get_metadata_cached.cache_info()