Files
ComfyUI-Lora-Manager/py/services/openmodeldb_client.py
T
Will Miao 35f1ced41a feat(metadata): add OpenModelDB metadata provider and model source for upscalers
Add OpenModelDB (openmodeldb.info) as a metadata and download source for
the existing upscaler model type.

Metadata:
- New OpenModelDBClient: fetches the site's bulk JSON dumps, caches them
  on disk (24h TTL + ETag revalidation), and builds a local sha256 index
- New OpenModelDBModelMetadataProvider adapts catalogue entries to the
  CivitAI-shaped version dict contract; registered in the fallback chain
  behind the enable_openmodeldb_api setting (default on), gated to the
  upscaler sub-type so other model types never trigger the dump download
- Persisted provenance uses metadata_source "openmodeldb" plus a nested
  openmodeldb block (page URL, architecture, scale, license)

Images: paired-image LR/SR URLs are ephemeral imgdiff.net sessions, so
displayable images come from the site-hosted auto-generated thumbnails
(model-level cover leads images[], per-image thumbs for the rest); the
original comparison URL is kept in meta.comparisonUrl.

Downloads:
- New OpenModelDBSource (flat model ids, omdb: group prefix) with
  resource filename derivation that recovers names hidden mid-path
  (mediafire) or synthesizes {id}.{type} for folder links
- HTML-gateway mirrors (mediafire/mega/drive) are rejected with a clear
  manual-download hint instead of silently saving an HTML page as .pth
- ModelSource base gains is_valid_source_id / default_subdir_parts /
  resolve_download_url hooks so flat-id sources need no platform branches

UI: "View on OpenModelDB" link in the model modal (downloaded and
hash-enriched models), settings toggle next to the CivArchive one.
2026-10-03 21:13:07 +08:00

763 lines
30 KiB
Python

"""Client for the OpenModelDB bulk JSON API.
OpenModelDB (https://openmodeldb.info) is a static catalogue of upscaler
models. It exposes no per-model or by-hash endpoint — only bulk JSON dumps
(``/api/v1/models.json`` and friends), so this client downloads the dumps
once, caches them on disk with a TTL, honors ETag/Last-Modified on refresh,
and builds an in-memory SHA256 -> model index for read-only metadata lookups.
Every catalogue resource carries a ``sha256`` and a byte ``size``, which is
what makes hash-based matching against local files possible. Lookups degrade
gracefully: when the catalogue cannot be fetched (offline, upstream failure)
the stale disk cache is used, and if there is no cache at all the lookup
reports "not found" so the metadata fallback chain simply moves on.
"""
from __future__ import annotations
import asyncio
import json
import logging
import os
import time
from typing import Any, Dict, List, Optional, Tuple
from urllib.parse import urlparse
from .downloader import get_downloader
from .errors import RateLimitError
from ..utils.cache_paths import get_cache_base_dir
from ..utils.constants import MODEL_FILE_EXTENSIONS
logger = logging.getLogger(__name__)
OPENMODELDB_API_BASE = "https://openmodeldb.info/api/v1"
OPENMODELDB_SITE_BASE = "https://openmodeldb.info"
#: Value emitted as ``source`` in the synthesized version dict; the metadata
#: sync service persists it as the model's ``metadata_source``.
METADATA_SOURCE_VALUE = "openmodeldb"
#: Hosts whose URLs serve an HTML interstitial page instead of the raw file
#: bytes. Downloading from them would silently save a web page as ``.pth``
#: (the download flow does not verify the sha256 afterwards), so the model
#: source layer rejects them with a manual-download hint. Kept deliberately
#: small and explicit.
HTML_GATEWAY_HOSTS = frozenset({"mediafire.com", "mega.nz", "drive.google.com"})
def is_html_gateway_url(url: str) -> bool:
"""Return ``True`` when *url* points at a known HTML-gateway host."""
if not isinstance(url, str) or not url:
return False
try:
host = urlparse(url).netloc.lower()
except ValueError:
return False
return any(host == g or host.endswith(f".{g}") for g in HTML_GATEWAY_HOSTS)
def _is_ephemeral_viewer_url(url: str) -> bool:
"""Return ``True`` for imgdiff.net session URLs.
Paired comparisons are hosted as ephemeral imgdiff viewer sessions
(``/api/image.php?id=...``) that expire shortly after the site build;
they 404 when used as an ``<img>`` source and must never be emitted as a
displayable image URL.
"""
return isinstance(url, str) and "imgdiff.net/api/" in url
#: Bulk dumps consumed by the client. Only ``models`` is strictly required;
#: the rest resolve ids to human-readable names and degrade to raw ids.
_DUMP_NAMES = ("models", "users", "tags", "architectures")
#: How long a fetched catalogue is considered fresh before a revalidation
#: request is made. The site only changes when it is rebuilt (hours to days),
#: so a daily TTL avoids re-downloading the ~1.4MB models dump on every
#: lookup while still picking up new models reasonably fast.
CACHE_TTL_SECONDS = 24 * 60 * 60
_META_FILENAME = "_meta.json"
class OpenModelDBClient:
"""Hash-lookup client over a locally cached OpenModelDB catalogue dump."""
_instance: Optional["OpenModelDBClient"] = None
_instance_lock = asyncio.Lock()
@classmethod
async def get_instance(cls) -> "OpenModelDBClient":
"""Get the singleton instance of OpenModelDBClient."""
async with cls._instance_lock:
if cls._instance is None:
cls._instance = cls()
# Register this client as a metadata provider (mirrors the
# CivitAI/CivArchive client bootstrap).
from .model_metadata_provider import (
ModelMetadataProviderManager,
OpenModelDBModelMetadataProvider,
)
provider_manager = await ModelMetadataProviderManager.get_instance()
provider_manager.register_provider(
"openmodeldb",
OpenModelDBModelMetadataProvider(cls._instance),
False,
)
return cls._instance
def __init__(
self,
cache_dir: Optional[str] = None,
ttl_seconds: float = CACHE_TTL_SECONDS,
) -> None:
# Guard re-initialization for the singleton pattern.
if hasattr(self, "_initialized"):
return
self._initialized = True
self._cache_dir_override = cache_dir
self._ttl_seconds = ttl_seconds
self._models: Dict[str, Dict[str, Any]] = {}
self._users: Dict[str, Dict[str, Any]] = {}
self._tags: Dict[str, Dict[str, Any]] = {}
self._architectures: Dict[str, Dict[str, Any]] = {}
# sha256 (lowercase) -> (model_id, model entry, matching resource)
self._index: Dict[str, Tuple[str, Dict[str, Any], Dict[str, Any]]] = {}
self._loaded_at: float = 0.0
self._load_lock = asyncio.Lock()
# ------------------------------------------------------------------
# Public API
# ------------------------------------------------------------------
async def get_model_by_hash(
self, model_hash: str
) -> Tuple[Optional[Dict[str, Any]], Optional[str]]:
"""Find an upscaler model by SHA256 hash.
Returns a CivitAI-shaped version dict (same contract as the other
metadata providers) or ``(None, reason)``.
"""
if not model_hash or not isinstance(model_hash, str):
return None, "Model not found"
try:
loaded = await self._ensure_loaded()
except RateLimitError:
raise
except Exception as exc:
logger.error("OpenModelDB lookup failed for %s: %s", model_hash[:10], exc)
return None, str(exc)
if not loaded:
return None, "OpenModelDB catalogue unavailable"
hit = self._index.get(model_hash.lower())
if hit is None:
return None, "Model not found"
model_id, model_entry, resource = hit
return self._to_civitai_version(model_id, model_entry, resource), None
async def catalogue_ready(self) -> bool:
"""Return ``True`` when the catalogue is loaded (or loadable)."""
try:
return await self._ensure_loaded()
except RateLimitError:
raise
except Exception as exc:
logger.error("OpenModelDB catalogue load failed: %s", exc)
return False
async def get_model_entry(
self, model_id: str
) -> Optional[Tuple[str, Dict[str, Any]]]:
"""Return ``(model_id, catalogue entry)`` for *model_id*, or ``None``.
Loads the catalogue on first use; an unavailable catalogue and an
unknown id both yield ``None`` (callers that need to distinguish the
two can check :meth:`catalogue_ready` first).
"""
if not model_id or not isinstance(model_id, str):
return None
if not await self.catalogue_ready():
return None
entry = self._models.get(model_id)
if not isinstance(entry, dict):
return None
return model_id, entry
def find_resource_by_filename(
self, model_id: str, entry: Dict[str, Any], filename: str
) -> Optional[Dict[str, Any]]:
"""Match a resource by its derived filename (see :meth:`resource_filename`)."""
target = (filename or "").strip().lower()
if not target:
return None
for resource in entry.get("resources") or []:
if not isinstance(resource, dict):
continue
if self.resource_filename(model_id, resource).lower() == target:
return resource
return None
@staticmethod
def resource_filename(model_id: str, resource: Dict[str, Any]) -> str:
"""Derive the local filename for a catalogue resource.
The download URL's basename is not authoritative — mirrors like
mediafire put the real filename mid-path
(``/file/<key>/90s_Sonic_2x.pth/file``) and folder links (mega.nz)
have no filename at all. Strategy: the first URL path segment whose
extension is a known model format, else ``{model_id}.{type}`` (the
catalogue's ``type`` field is authoritative).
"""
urls = resource.get("urls")
for url in urls if isinstance(urls, list) else []:
if not isinstance(url, str):
continue
path = url.split("?", 1)[0].split("#", 1)[0]
for segment in path.split("/"):
if os.path.splitext(segment)[1].lower() in MODEL_FILE_EXTENSIONS:
return segment
resource_type = str(resource.get("type") or "").lower()
extension = (
resource_type if resource_type in {"pth", "safetensors", "onnx"} else "bin"
)
return f"{model_id}.{extension}"
@staticmethod
def primary_url(resource: Dict[str, Any]) -> str:
"""Return the resource's primary download URL.
Only the first URL is used: additional entries are mirrors that may
need site-specific handling (e.g. mega.nz) and are never tried
automatically.
"""
urls = resource.get("urls")
if isinstance(urls, list):
for url in urls:
if isinstance(url, str) and url.startswith("http"):
return url
return ""
@staticmethod
def direct_url(resource: Dict[str, Any]) -> str:
"""Return the first URL that serves raw bytes, or ``""``.
HTML-gateway hosts (mediafire, mega.nz, drive.google.com — see
:data:`HTML_GATEWAY_HOSTS`) serve an interstitial page instead of the
file, so they are skipped here and reported to the user instead.
"""
urls = resource.get("urls")
if isinstance(urls, list):
for url in urls:
if (
isinstance(url, str)
and url.startswith("http")
and not is_html_gateway_url(url)
):
return url
return ""
@staticmethod
def _absolutize(url: str) -> str:
"""Turn a site-relative path (``/thumbs/...``) into an absolute URL."""
if isinstance(url, str) and url.startswith("/"):
return f"{OPENMODELDB_SITE_BASE}{url}"
return url
def _paired_display_url(self, image: Dict[str, Any]) -> str:
"""Return the displayable URL for a paired comparison image.
Prefers the site-hosted thumbnail: the ``LR``/``SR`` originals are
frequently ephemeral imgdiff session URLs that 404 outside the
viewer. Falls back to the SR (then LR) original only when it is not
one of those session URLs.
"""
thumbnail = image.get("thumbnail")
if isinstance(thumbnail, str) and thumbnail:
return self._absolutize(thumbnail)
for key in ("SR", "LR"):
original = image.get(key)
if (
isinstance(original, str)
and original
and not _is_ephemeral_viewer_url(original)
):
return original
return ""
def _model_preview_url(self, entry: Dict[str, Any]) -> str:
"""Return the model-level thumbnail URL, mirroring the site's own
``getPreviewImage`` precedence (paired → SR, standalone → url)."""
thumbnail = entry.get("thumbnail")
if not isinstance(thumbnail, dict):
return ""
if thumbnail.get("type") == "paired":
url = thumbnail.get("SR") or thumbnail.get("LR")
else:
url = thumbnail.get("url")
if isinstance(url, str) and url:
return self._absolutize(url)
return ""
def example_image_urls(self, entry: Dict[str, Any]) -> List[str]:
"""Return displayable example-image URLs, model thumbnail first.
Never contains ephemeral imgdiff session URLs; standalone images keep
their direct URLs (regular image hosts are hotlinkable).
"""
urls: List[str] = []
lead = self._model_preview_url(entry)
if lead:
urls.append(lead)
for image in entry.get("images") or []:
if not isinstance(image, dict):
continue
if image.get("type") == "paired":
url = self._paired_display_url(image)
else:
url = image.get("url")
if isinstance(url, str) and url and url not in urls:
urls.append(url)
return urls
# ------------------------------------------------------------------
# Catalogue loading
# ------------------------------------------------------------------
async def _ensure_loaded(self) -> bool:
"""Ensure the in-memory index is built, refreshing stale caches."""
async with self._load_lock:
if self._index and (time.monotonic() - self._loaded_at) < self._ttl_seconds:
return True
meta = self._read_meta()
fetched_at = float(meta.get("fetched_at") or 0.0)
disk_fresh = (
fetched_at > 0
and (time.time() - fetched_at) < self._ttl_seconds
and all(os.path.exists(self._dump_path(name)) for name in _DUMP_NAMES)
)
if disk_fresh:
if self._load_from_disk():
return True
# Corrupt disk cache: fall through to a network refresh.
if await self._refresh_from_network(meta):
return True
# Network failed or was blocked: fall back to whatever is on disk,
# however stale — old metadata beats none.
if fetched_at > 0 and self._load_from_disk():
logger.info("Using stale OpenModelDB cache (network refresh failed)")
return True
return False
def _load_from_disk(self) -> bool:
"""Load all dumps from the disk cache and rebuild the index."""
payloads: Dict[str, Dict[str, Any]] = {}
for name in _DUMP_NAMES:
path = self._dump_path(name)
try:
with open(path, "r", encoding="utf-8") as handle:
data = json.load(handle)
except FileNotFoundError:
if name == "models":
return False
data = {}
except (OSError, json.JSONDecodeError) as exc:
logger.warning("Failed to read OpenModelDB cache %s: %s", path, exc)
if name == "models":
return False
data = {}
payloads[name] = data if isinstance(data, dict) else {}
if not payloads["models"]:
return False
self._install_payloads(payloads)
return True
async def _refresh_from_network(self, meta: Dict[str, Any]) -> bool:
"""Revalidate cached dumps against the site and rebuild the index.
Honors ETag/Last-Modified via a HEAD probe: an unchanged dump keeps
its cached body, so a TTL expiry without upstream changes costs one
tiny request per dump instead of a full download.
"""
payloads: Dict[str, Dict[str, Any]] = {}
etags: Dict[str, str] = dict(meta.get("etags") or {})
last_modified: Dict[str, str] = dict(meta.get("last_modified") or {})
for name in _DUMP_NAMES:
payload, etag, modified = await self._fetch_dump(
name,
known_etag=etags.get(name) or "",
known_last_modified=last_modified.get(name) or "",
)
if payload is None:
if name == "models":
return False
payload = {}
payloads[name] = payload
if etag:
etags[name] = etag
if modified:
last_modified[name] = modified
self._install_payloads(payloads)
self._write_cache(payloads, etags, last_modified)
return True
async def _fetch_dump(
self,
name: str,
*,
known_etag: str,
known_last_modified: str,
) -> Tuple[Optional[Dict[str, Any]], str, str]:
"""Fetch one dump, returning ``(body, etag, last_modified)``.
``body`` is ``None`` when the fetch failed and there is no usable
cached copy. When the HEAD probe shows the resource unchanged, the
cached body is returned without a full download.
"""
url = f"{OPENMODELDB_API_BASE}/{name}.json"
disk_path = self._dump_path(name)
have_cached = os.path.exists(disk_path)
downloader = await get_downloader()
head_etag = ""
head_modified = ""
try:
head_ok, head_headers = await downloader.get_response_headers(url)
except Exception as exc: # pragma: no cover - defensive guard
logger.debug("OpenModelDB HEAD probe failed for %s: %s", url, exc)
head_ok, head_headers = False, {}
if head_ok and isinstance(head_headers, dict):
# aiohttp headers are case-insensitive; plain dicts in tests are not.
head_etag = str(head_headers.get("ETag") or head_headers.get("etag") or "")
head_modified = str(
head_headers.get("Last-Modified") or head_headers.get("last-modified") or ""
)
if (
have_cached
and known_etag
and head_etag
and head_etag == known_etag
):
cached = self._read_dump_file(disk_path)
if cached is not None:
logger.debug("OpenModelDB %s unchanged (etag match); using cache", name)
return cached, known_etag, known_last_modified or head_modified
success, payload = await downloader.make_request("GET", url, use_auth=False)
if isinstance(payload, RateLimitError):
raise payload
if not success or not isinstance(payload, dict):
logger.warning(
"OpenModelDB %s fetch failed: %s",
name,
payload if isinstance(payload, str) else "unexpected payload",
)
if have_cached:
cached = self._read_dump_file(disk_path)
if cached is not None:
return cached, known_etag, known_last_modified
return None, known_etag, known_last_modified
return payload, head_etag or known_etag, head_modified or known_last_modified
# ------------------------------------------------------------------
# Index and transformation
# ------------------------------------------------------------------
def _install_payloads(self, payloads: Dict[str, Dict[str, Any]]) -> None:
"""Install dump payloads and rebuild the sha256 index."""
self._models = payloads.get("models") or {}
self._users = payloads.get("users") or {}
self._tags = payloads.get("tags") or {}
self._architectures = payloads.get("architectures") or {}
self._index = self._build_index(self._models)
self._loaded_at = time.monotonic()
logger.debug(
"OpenModelDB catalogue loaded: %d models, %d indexed hashes",
len(self._models),
len(self._index),
)
@staticmethod
def _build_index(
models: Dict[str, Dict[str, Any]]
) -> Dict[str, Tuple[str, Dict[str, Any], Dict[str, Any]]]:
"""Build the sha256 -> (model_id, model entry, resource) index."""
index: Dict[str, Tuple[str, Dict[str, Any], Dict[str, Any]]] = {}
for model_id, entry in models.items():
if not isinstance(entry, dict):
continue
resources = entry.get("resources")
if not isinstance(resources, list):
continue
for resource in resources:
if not isinstance(resource, dict):
continue
sha256 = resource.get("sha256")
if not isinstance(sha256, str) or not sha256:
continue
# First writer wins: duplicate hashes across catalogue entries
# are ambiguous and cannot be disambiguated locally.
index.setdefault(sha256.lower(), (model_id, entry, resource))
return index
def _resolve_authors(self, entry: Dict[str, Any]) -> Tuple[str, List[str]]:
"""Resolve the author field to a display name plus the raw user ids."""
raw = entry.get("author")
author_ids = raw if isinstance(raw, list) else [raw]
ids = [str(a) for a in author_ids if isinstance(a, str) and a]
names: List[str] = []
for author_id in ids:
user = self._users.get(author_id)
name = user.get("name") if isinstance(user, dict) else None
names.append(name if isinstance(name, str) and name else author_id)
return ", ".join(names), ids
def _resolve_tags(self, entry: Dict[str, Any]) -> List[str]:
"""Resolve tag ids to their display names."""
raw_tags = entry.get("tags")
if not isinstance(raw_tags, list):
return []
resolved: List[str] = []
for tag_id in raw_tags:
if not isinstance(tag_id, str) or not tag_id:
continue
tag = self._tags.get(tag_id)
name = tag.get("name") if isinstance(tag, dict) else None
resolved.append(name if isinstance(name, str) and name else tag_id)
return resolved
def _resolve_architecture_name(self, entry: Dict[str, Any]) -> str:
"""Resolve the architecture id to its display name."""
arch_id = entry.get("architecture")
if not isinstance(arch_id, str) or not arch_id:
return ""
arch = self._architectures.get(arch_id)
if isinstance(arch, dict):
name = arch.get("name")
if isinstance(name, str) and name:
return name
return arch_id
@staticmethod
def _resource_format(resource: Dict[str, Any]) -> str:
"""Map an OpenModelDB resource type to a CivitAI file metadata format."""
resource_type = str(resource.get("type") or "").lower()
if resource_type == "safetensors":
return "SafeTensor"
if resource_type in ("pth", "pt", "ckpt"):
return "PickleTensor"
return "Other"
def _to_civitai_version(
self,
model_id: str,
entry: Dict[str, Any],
matched_resource: Dict[str, Any],
) -> Dict[str, Any]:
"""Map an OpenModelDB catalogue entry to a CivitAI-shaped version dict.
Follows the same contract as the CivArchive/SQLite providers so the
metadata sync service can merge it unchanged. Numeric ``id``/``modelId``
are deliberately omitted: OpenModelDB ids are strings, and consumers
treat a missing ``modelId`` as "not a CivitAI model" (no CivitAI page
link, no update checks).
"""
author_display, author_ids = self._resolve_authors(entry)
tags = self._resolve_tags(entry)
architecture_id = entry.get("architecture")
architecture_name = self._resolve_architecture_name(entry)
description = entry.get("description")
license_name = entry.get("license")
page_url = f"{OPENMODELDB_SITE_BASE}/models/{model_id}"
files: List[Dict[str, Any]] = []
resources = entry.get("resources")
for resource in resources if isinstance(resources, list) else []:
if not isinstance(resource, dict):
continue
# The displayable download URL prefers a direct-bytes mirror when
# one exists; the filename is derived (never the raw URL basename,
# which mediafire-style mirrors leave as "file").
download_url = self.direct_url(resource) or self.primary_url(resource)
sha256 = resource.get("sha256")
size_bytes = resource.get("size")
files.append(
{
"name": self.resource_filename(model_id, resource),
"type": "Model",
"sizeKB": (size_bytes / 1024.0)
if isinstance(size_bytes, (int, float))
else 0,
"downloadUrl": download_url,
"primary": resource is matched_resource,
"hashes": {"SHA256": str(sha256).upper()} if sha256 else {},
"metadata": {"format": self._resource_format(resource)},
}
)
images: List[Dict[str, Any]] = []
# The model-level thumbnail is the site's own preview pick and larger
# than the per-image small thumbs; the card preview derives from
# images[0], so it leads the list.
lead = self._model_preview_url(entry)
if lead:
images.append({"url": lead, "nsfwLevel": 1, "type": "image"})
raw_images = entry.get("images")
for image in raw_images if isinstance(raw_images, list) else []:
if not isinstance(image, dict):
continue
paired = image.get("type") == "paired"
# Paired entries show the upscaled (SR) result as the preview.
url = self._paired_display_url(image) if paired else image.get("url")
if not isinstance(url, str) or not url:
continue
if any(existing["url"] == url for existing in images):
continue
mapped: Dict[str, Any] = {"url": url, "nsfwLevel": 1, "type": "image"}
thumbnail = image.get("thumbnail")
if isinstance(thumbnail, str) and thumbnail:
thumbnail_url = self._absolutize(thumbnail)
if thumbnail_url != url:
mapped["thumbnailUrl"] = thumbnail_url
meta: Dict[str, Any] = {}
if paired:
comparison = image.get("SR") or image.get("LR")
if (
isinstance(comparison, str)
and comparison
and comparison != url
and _is_ephemeral_viewer_url(comparison)
):
# Ephemeral imgdiff viewer session, kept for reference
# only — it 404s outside the session and is never
# displayable.
meta["comparisonUrl"] = comparison
caption = image.get("caption")
if isinstance(caption, str) and caption:
meta["caption"] = caption
if meta:
mapped["meta"] = meta
images.append(mapped)
return {
"name": entry.get("name") or model_id,
# Upscalers are not tied to a diffusion base model.
"baseModel": "Other",
"description": description or "",
"publishedAt": entry.get("date"),
"trainedWords": [],
"model": {
"name": entry.get("name") or model_id,
"type": "Upscaler",
"nsfw": False,
"description": description,
"tags": tags,
"license": license_name or "",
},
"creator": {"username": author_display, "image": None},
"files": files,
"images": images,
"source": METADATA_SOURCE_VALUE,
# OpenModelDB-native provenance, kept inside the persisted payload
# so the UI can link to the model page in a later phase.
"openmodeldb": {
"id": model_id,
"url": page_url,
"authors": author_ids,
"architecture": architecture_id or "",
"architectureName": architecture_name,
"scale": entry.get("scale"),
"inputChannels": entry.get("inputChannels"),
"outputChannels": entry.get("outputChannels"),
"size": entry.get("size") or [],
"license": license_name or "",
"date": entry.get("date"),
},
}
# ------------------------------------------------------------------
# Disk cache
# ------------------------------------------------------------------
def _cache_dir(self) -> str:
base = self._cache_dir_override or os.path.join(
get_cache_base_dir(), "openmodeldb"
)
os.makedirs(base, exist_ok=True)
return base
def _dump_path(self, name: str) -> str:
return os.path.join(self._cache_dir(), f"{name}.json")
def _meta_path(self) -> str:
return os.path.join(self._cache_dir(), _META_FILENAME)
def _read_meta(self) -> Dict[str, Any]:
try:
with open(self._meta_path(), "r", encoding="utf-8") as handle:
meta = json.load(handle)
return meta if isinstance(meta, dict) else {}
except FileNotFoundError:
return {}
except (OSError, json.JSONDecodeError) as exc:
logger.warning("Failed to read OpenModelDB cache meta: %s", exc)
return {}
def _read_dump_file(self, path: str) -> Optional[Dict[str, Any]]:
try:
with open(path, "r", encoding="utf-8") as handle:
data = json.load(handle)
return data if isinstance(data, dict) else None
except (OSError, json.JSONDecodeError) as exc:
logger.warning("Failed to read OpenModelDB cache %s: %s", path, exc)
return None
def _write_cache(
self,
payloads: Dict[str, Dict[str, Any]],
etags: Dict[str, str],
last_modified: Dict[str, str],
) -> None:
for name, payload in payloads.items():
path = self._dump_path(name)
try:
with open(path, "w", encoding="utf-8") as handle:
json.dump(payload, handle)
except OSError as exc:
logger.warning("Failed to write OpenModelDB cache %s: %s", path, exc)
meta = {
"fetched_at": time.time(),
"etags": etags,
"last_modified": last_modified,
}
try:
with open(self._meta_path(), "w", encoding="utf-8") as handle:
json.dump(meta, handle, indent=2)
except OSError as exc:
logger.warning("Failed to write OpenModelDB cache meta: %s", exc)