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Will Miao
5ab0e88abc
A model file could only ever be linked to huggingface.co: `set_hf_url` validated the URL with a huggingface-only regex, the agent fetched the card from a hardcoded HF URL, and the readme processor built every relative image path off `https://huggingface.co/{repo}/resolve/main`. ModelScope publishes the same model-card convention (README.md + YAML frontmatter, often carrying `base_model:` and `trigger_words:`) behind a public, key-less API, so the enrichment pipeline could already serve it - it was the plumbing that was HF-shaped, not the idea. Make the external source a first-class, provider-driven concept: - New `py/services/model_sources/` registry. A `ModelSource` owns URL recognition (lenient for stored values, strict for user input), the canonical page URL, model-card fetching, the asset base URL and the capability flags. `HuggingFaceSource` is the previous logic relocated; `ModelScopeSource` reads `/models/{o}/{n}/resolve/{master|main}/README.md` and falls back to `/api/v1/models/{o}/{n}/repo`. `TensorArtSource` is link-only on purpose: tensor.art answers plain HTTP clients with a Cloudflare challenge and its internal API (ap-east-1.tensorart.cloud / cn.tensorart.net) rejects every /v1/model/* route with "invalid authorization header", so it declares supports_enrichment=False rather than failing silently later. - Metadata gains `source_platform` + `source_url`; `hf_url` stays as a read/write alias, written only for Hugging Face, so existing sidecars, cached rows and third-party consumers keep working. Normalisation runs at the scanner, the persistent cache (both directions, plus two new columns behind an ALTER migration) and the linking handler - which is what stops a user who switches sources from leaving a stale `hf_url` on a ModelScope model. - The agent pipeline keys off the provider instead of `hf_url`: the fast-fail gate now explains *why* a model is skipped (no source / unknown source / source without a reachable card), the prompt context exposes source_url/source_id/source_label/asset_base_url while still filling the legacy hf_url/repo aliases, and the four README image extractors take a base_url (defaulting to HF) so relative paths resolve against the right site. Version grouping generalises to hf: / ms: / ta: keys. - `POST /api/lm/set-hf-url` keeps its path and its legacy payload keys but accepts `source_url`, validates against every provider and returns the platform. `GET /api/lm/model-sources` lets the UI render the supported-site list from the server. - Frontend: a `modelSourceHelpers` mirror of the registry drives the link dialog, the card/modal globe (branded "View on ModelScope/TensorArt"), the version-group key and the enrichment gate; the versions tab no longer sends ms:/ta: keys to the CivitAI API. TensorArt stays in the list because provenance is worth keeping even when the card is unreadable - the dialog says so plainly ("Sites that don't expose one (currently TensorArt) can only be linked") and the context menu disables enrichment with a matching tooltip, instead of the user getting "Unsupported URL". Verified against the real ModelScope API: jj3550945163/Krea-2-LORA returns a 1882-byte card whose frontmatter carries base_model/tags/trigger_words, and relative images resolve to .../resolve/master/.... Tests: backend 2815 passed; frontend 1130 JS + 91 Vue passed; pytest tests/i18n and a Jinja compile pass over templates/. The nine locales carry [TODO: Translate] for the new strings, completed in the next commit.
57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
"""TensorArt model source (link / provenance only).
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TensorArt support is intentionally limited to *linking* a model to its
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TensorArt page. Automatic metadata extraction is not possible without a
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user session:
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* ``tensor.art`` sits behind a Cloudflare managed challenge, so plain
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HTTP clients (aiohttp, requests, curl) receive ``403 "Just a moment..."``.
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* Its internal API (``ap-east-1.tensorart.cloud`` / ``cn.tensorart.net``)
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answers every ``/v1/model/*`` route with
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``{"code":100002,"message":"invalid authorization header"}``.
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* The official TAMS API requires an AccessKey/SecretKey pair and request
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signatures, which is a poor fit for a "paste a URL" workflow.
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``supports_enrichment`` is therefore ``False``: the agent pipeline skips
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these models with an explicit reason instead of failing silently, and the
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UI keeps showing the "View on TensorArt" link. ``tusi.cn`` is TensorArt's
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Chinese mirror and is accepted as the same platform.
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"""
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from __future__ import annotations
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import re
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from .base import ModelSource
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_DOMAINS = r"(?:tensor\.art|tusi\.cn)"
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_URL_PATTERN = re.compile(
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rf"https?://(?:www\.)?{_DOMAINS}/models/(?P<id>\d+)"
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)
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_STRICT_URL_PATTERN = re.compile(
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rf"https?://(?:www\.)?{_DOMAINS}/models/(?P<id>\d+)(?:/[^/?#\s]+)?/?$"
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)
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class TensorArtSource(ModelSource):
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"""TensorArt (``tensor.art``)."""
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platform = "tensorart"
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label = "TensorArt"
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supports_enrichment = False
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supports_download = False
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url_pattern = _URL_PATTERN
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strict_url_pattern = _STRICT_URL_PATTERN
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def canonical_url(self, source_id: str) -> str:
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return f"https://tensor.art/models/{source_id}"
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def asset_base_url(self, source_id: str, revision: str = "") -> str:
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# Unreachable today: enrichment is disabled for this platform.
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return f"https://tensor.art/models/{source_id}"
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__all__ = ["TensorArtSource"]
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