* fix(lora): read LoraManager's settings and storage layout the way it does (#355) Add py/lora_manager_layout.py: the settings file in LoraManager's lookup order (environment folder, portable plugin file, user config folder), only the seven keys the import needs, the LoRA roots, the centralized sidecar root, the example-images root and the active library, each folder through one guard. Sidecar discovery for both storage modes and the local preview and example-image lookup live there too. The test runner and the browser test server point LoraManager's settings lookup at a disposable folder, so no test reads the real settings. * fix(lora): import the sidecars and local images LoraManager really uses (#355) The import, the legacy scan, the trigger-word cache and the image server now share LoraManager's layout: sidecars beside the models (alongside) or under the sidecar root (centralized), kept only when their model exists inside a LoRA root. Each LoRA links its LoraManager preview and example images where they are; CivitAI downloads run only for a LoRA without any local image. The review adds skipped, with_local_media and the layout, and offers no token when LoraManager's settings cannot be used; the legacy scan reports the same reason without replacing anything. find_lora_directories becomes default_lora_roots (no scan of the LoraManager install); the preview and example-folder helpers it replaced are removed. The trigger cache never raises into a running node. * fix(lora): never serve a LoraManager folder that holds the home folder (#355) The folder guard also rejects ancestors of the home folder (/home, C:\Users), compared in the realpath + normcase form, so a LoraManager setting cannot widen the image server's allow-list to every user's files. * fix(lora): show linked LoraManager videos as videos (#355) _enrich_images marks every image without is_video by its extension, so an .mp4 preview outside the output folders shows the Video preview label and plays in the inspector. Tests cover serving the sidecar and example-image folders only while the integration is on, and a filesystem root as the sidecar folder adding nothing. * feat(lora): the import review names the LoraManager settings it read (#355) The review gains a first row, LoraManager ("<source> settings · <mode> storage · library <name>", the settings file as its hover title), and its Found row counts metadata files, LoRAs and LoRAs with local images. A plan whose LoraManager settings cannot be used takes the close-only path: "LoraManager settings: not usable: <reason>. Nothing was changed." The browser fixture writes each LoRA's model file and can leave out the local preview, so the download, gate and cancel specs still exercise CivitAI. * docs(lora): describe how the import finds LoraManager's files (#355) * test(lora): set the settings folder relative to the process folder (#355) os.path.relpath fails across Windows drives (the temp folder on C:, the checkout on D:); the test now changes into its temp folder instead. * fix(lora): review findings for the LoraManager layout (#355) - The example-images library subfolder goes through the folder guard like its root, so its canonical (normcased) form matches the media check on Windows for a library name with capitals. - A failed trigger-word load is retried by a running node only after TRIGGER_RETRY_SECONDS, not on every prompt run. - A review whose discovery cannot list a folder says so (folder-unreadable, the folder's name only) instead of a generic error. * test(images): hold the listing clock in the deferred-walk test test_a_deferred_walk_waits_at_least_half_a_second set the previous walk 29.99 s back against a 30 s interval and then read the real clock again: a runner slower than 10 ms between the two lines passed the interval and the walk started at once (failed on macOS 3.13 and Windows 3.11). The module's clock is now held for the mark, so the deferred walk is always the one measured. * test(lora): write the unkept-settings fixture as raw text CodeQL read the dict with a credential-named key flowing into write_text as clear-text storage of a secret. The value is a marker, so the fixture now writes the JSON text directly and names the value MARKER. * fix(lora): link each LoRA's cover as its newest image (#355) Workspace lists show a prompt's media newest link first, so the import links a record's images last to first: the card shows the cover (a still in front of a leading video) the import put first. * fix(lora): show LoRA-linked media on the Library page and in the inspector (#355) Library previews, the positive detail and the per-prompt images page list a prompt's linked media under the output folders plus, while the LoRA integration is on, LoraManager's guarded folders and the download cache (_media_roots; output root indices keep their meaning). That media keeps its rooted identity, so Info and the media viewer open it; the path-based serve route answers for those roots only with a file the database records (either path spelling), never serves or makes a preview there, and output requests never read LoraManager's layout. Such media is marked linked_only: no preview file, no favorite star, no Tag action. Show in folder accepts those roots; the download cache is named, not created. * fix(lora): expose only linked files under LoraManager's folders (#355) Serve, inspect and Show in folder share one gate for a LoRA-linked root (_media_roots past the output folders): a file the database does not record as a linked image is refused with 403, checked by its given and its real path. Before, inspect and reveal read any file under those folders by path. * fix(lora): check the file Show in folder would open under a LoRA root (#355) reveal_image resolved the requested path through the client-path resolver, which can fall back to a path anchor; under a LoRA-linked root the file that would open now passes the same recorded-media gate, so only a linked file is ever revealed there.
514 lines
22 KiB
Python
514 lines
22 KiB
Python
"""The staged LoRA reference import as a reviewed Activity job (#221, S10).
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``POST /prompt_manager/lora/import/preview`` (body ``{}``) reviews an import:
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it lists the LoraManager metadata files and parses them, and counts the
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current imports, those a saved pair uses and the example images an import
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would download. It writes nothing and requests nothing. It answers a
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``Plan`` (the maintenance plan's shape, ``py/api/maintenance.py``) plus
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``{lora_files, with_metadata, skipped, with_local_media, current_imports,
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blocked_by_pairs, planned_downloads, network:{planned_downloads, api_key},
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layout}`` (#355: ``layout`` says which LoraManager settings file, storage mode
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and library the import read, and ``error`` when they cannot be used). A plan
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that saved pairs block, or whose layout is unusable, carries no token
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(nothing can be applied).
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``POST /prompt_manager/lora/import/apply {token}`` starts the job (202
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``{job}``): kind ``lora_import``, titled "LoRA reference import", admission
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``records``, cancellable while it downloads only. Refused before it starts:
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``plan-changed`` (409: the metadata files changed since the review),
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``plan-expired``, ``plan-used``, ``storage-changed``, ``busy``,
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``insufficient-space`` (as maintenance). The job stages the records
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(downloads into the cache first, each counted in ``downloaded`` or
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``download_errors``), takes the safety backup the policy promises, then
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replaces the collection in one transaction bound to the reviewed imports. Any
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failure leaves the previous imports exactly as they were, and the job says so.
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The legacy ``POST /lora/scan`` runs the same stages (``stage_lora_import``
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and ``replace_lora_imports``) under its SSE event shape.
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"""
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import asyncio
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import os
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import sqlite3
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from aiohttp import web
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from .. import lora_import, lora_utils
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from .inspection_service import SERVABLE_EXTENSIONS
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from .job_routes import busy_response
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from .jobs import LORA_IMPORT_JOB_KIND, JobBusy
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from .maintenance import (
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MAX_TOKEN_LENGTH,
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_failure,
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_fail_job,
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_invalid,
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_iso,
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disk_plan,
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short_space_message,
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)
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from .maintenance_plans import ScopeTooLarge
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try:
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from ...database.category_import import EmptyReplacement
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from ...database.maintenance import PlanChanged
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from ...database.pairs import PairDependencyError
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except ImportError: # pragma: no cover - flat test imports
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from database.category_import import EmptyReplacement
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from database.maintenance import PlanChanged
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from database.pairs import PairDependencyError
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LORA_OPERATION = "lora_import"
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# The review reads the library: a request lease, so it is refused while a
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# restore runs and a restore waits for it before switching the file (S8).
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LORA_PREVIEW_LEASE = "LoRA import review"
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CATEGORY = lora_import.LORA_CATEGORY
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SOURCE_CHANGED = (
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"The LoRA metadata files changed since the review; nothing was changed. "
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"Review the import again."
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)
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IMPORTS_CHANGED = (
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"The imported LoRA prompts changed since the review; the previous imports "
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"were kept. Review the import again."
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)
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BLOCKED = (
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"Saved pairs use some imported LoRA prompts, so the collection cannot be "
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"replaced; the previous imports were kept."
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)
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INTEGRATION_CHANGED = (
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"The LoraManager integration changed since the review; nothing was changed. "
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"Review the import again."
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)
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EMPTY = "No LoRA could be prepared for import; the previous imports were kept."
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FAILED = "The import failed; the previous LoRA imports were kept."
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CACHE_NOTE = "Images already downloaded stay in the image cache."
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CANCELLED = "Cancelled before anything was written; the previous imports were kept."
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DISABLED = "LoraManager integration is not enabled"
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NO_PATH = "LoraManager path not configured"
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def _noun(count, word, plural=None):
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return word if count == 1 else (plural or word + "s")
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def _count(count, word, plural=None):
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return f"{count:,} {_noun(count, word, plural)}"
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def _import_line(result, skipped):
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parts = [f"Imported {_count(result['imported'], 'LoRA')}"]
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if result["linked"] or result["duplicates"]:
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linked = result["linked"] + result["duplicates"]
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parts.append(f"{linked:,} linked to an existing prompt")
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if skipped:
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parts.append(f"{skipped:,} skipped")
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return " · ".join(parts)
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def _all_downloads_failed(errors):
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"""The warning when every planned download failed (#337)."""
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if errors == 1:
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return "Warning: the example image could not be downloaded"
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return f"Warning: none of the {errors:,} example images could be downloaded"
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def _with_downloads(line, downloaded, errors):
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"""``line`` with the failed downloads: counted when some failed, led by
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a warning when every planned download failed (#337). The job still
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finishes: the import itself succeeded and the downloads are best effort."""
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if not errors:
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return line
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if not downloaded:
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return f"{_all_downloads_failed(errors)} · {line}"
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failed = f"{_count(errors, 'example image')} could not be downloaded"
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return f"{line} · {failed}"
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class LoraImportRoutesMixin:
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"""Mixin providing the reviewed LoRA import (preview, apply, job)."""
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def _register_lora_import_routes(self, routes):
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@routes.post("/prompt_manager/lora/import/preview")
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async def lora_import_preview_route(request):
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return await self.preview_lora_import(request)
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@routes.post("/prompt_manager/lora/import/apply")
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async def lora_import_apply_route(request):
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return await self.apply_lora_import(request)
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# ── shared stages ─────────────────────────────────────────────────
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async def _lora_source(self):
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"""``(path, None)``: the configured, allowed LoraManager path, or
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``(None, (code, message))`` when the import cannot run."""
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from ..config import IntegrationConfig
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if not IntegrationConfig.LORA_MANAGER_ENABLED:
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return None, ("lora-disabled", DISABLED)
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lm_path = IntegrationConfig.LORA_MANAGER_PATH
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if not lm_path:
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return None, ("lora-path", NO_PATH)
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allowed = await self._run_in_executor(
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lora_utils.resolve_lora_manager_path, lm_path
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)
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if allowed is None:
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from .lora_integration import _LORA_PATH_ERROR
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return None, ("lora-path", _LORA_PATH_ERROR)
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return allowed, None
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async def stage_lora_import(self, discovery, *, on_record=None, cancelled=None):
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"""Stage ``discovery``'s sidecars off the loop: records, skips and
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download counts."""
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from ..config import IntegrationConfig
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cache_dir = await self._run_in_executor(lora_utils.get_lora_image_cache_dir)
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await self._run_in_executor(lora_utils.sweep_stale_downloads, cache_dir)
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loop = asyncio.get_running_loop()
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def report(index, record, staged):
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if on_record is not None:
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loop.call_soon_threadsafe(on_record, index, record, staged)
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return await self._run_in_executor(
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lambda: lora_import.stage(
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discovery,
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cache_dir,
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IntegrationConfig.CIVITAI_API_KEY,
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media_extensions=SERVABLE_EXTENSIONS,
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on_record=report,
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cancelled=cancelled or (lambda: False),
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logger=self.logger,
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)
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)
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async def lora_files_unchanged(self, lm_path, expected):
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"""Whether LoraManager's sidecars for ``lm_path`` still fingerprint as
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``expected`` (found again, so an added file counts too)."""
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def current():
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return lora_import.fingerprint(lora_import.discover(lm_path))
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try:
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return await self._run_in_executor(current) == expected
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except OSError:
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return False
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async def replace_lora_imports(self, db, staged, *, expected_ids, allow_empty):
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"""Swap the collection for ``staged.records`` in one transaction."""
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return await self._run_in_executor(
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lambda: db.replace_category_prompts(
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CATEGORY,
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staged.records,
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expected_ids=expected_ids,
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allow_empty=allow_empty,
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)
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)
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# ── preview ───────────────────────────────────────────────────────
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async def preview_lora_import(self, request):
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try:
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async with self._jobs.lease(LORA_PREVIEW_LEASE):
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return await self._preview_lora_import(request)
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except JobBusy as busy:
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return busy_response(busy)
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async def _preview_lora_import(self, request):
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data, error = await self._read_maintenance_body(request, ())
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if error is not None:
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return error
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lm_path, refused = await self._lora_source()
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if refused is not None:
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return _failure(refused[1], 400, refused[0])
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db = self.db
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identity = self._database_identity(db)
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try:
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cache_dir = await self._run_in_executor(
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lambda: lora_utils.get_lora_image_cache_dir(create=False)
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)
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found = await self._run_in_executor(
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lora_import.preview, lm_path, cache_dir, SERVABLE_EXTENSIONS
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)
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state = await self._run_in_executor(db.category_import_state, CATEGORY)
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except OSError as error:
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# A folder discovery cannot list refuses the import (it must not
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# replace the collection with part of it): say which one.
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self.logger.warning(
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f"LoRA import review: a folder could not be listed: {error}"
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)
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return _failure(
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f"A LoRA folder could not be listed ({self._public_error(error)}). "
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"Nothing was changed.",
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500,
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"folder-unreadable",
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)
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except Exception:
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self.logger.exception("LoRA import preview failed")
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return _failure("The LoRA import could not be reviewed.", 500)
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if identity != self._database_identity(self.db):
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return _failure(
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"The database was replaced while it was reviewed. Review again.",
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409,
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"storage-changed",
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)
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return await self._lora_plan_response(db, identity, lm_path, found, state)
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async def _lora_plan_response(self, db, identity, lm_path, found, state):
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from ..config import IntegrationConfig
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current = len(state["ids"])
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blocked = state["paired"]
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policy = self._safety_backup_policy()
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try:
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disk, _short, size = await self._run_in_executor(
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disk_plan, db.model.db_path, backup=policy != "off", vacuum=False
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)
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except (OSError, sqlite3.Error):
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self.logger.exception("Could not measure the disk space for a plan")
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return _failure("The LoRA import could not be reviewed.", 500)
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token = None
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expires_at = None
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layout = found["layout"]
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# An unusable LoraManager layout found nothing it may replace with.
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if not blocked and layout["error"] is None:
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payload = {
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"path": lm_path,
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"fingerprint": found["fingerprint"],
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"expected_ids": state["ids"],
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"empty": found["with_metadata"] == 0,
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"backup": policy,
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}
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try:
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token = self._maintenance_plans.issue(
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LORA_OPERATION, found["fingerprint"], payload, identity
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)
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except ScopeTooLarge:
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return _failure(
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"This import is too large to review at once.", 413, "too-large"
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)
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expires_at = _iso(self._maintenance_plans.peek(token).expires_at)
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name = os.path.basename(db.model.db_path)
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downloads = found["planned_downloads"]
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reasons = (
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[f"{_count(blocked, 'imported prompt')} used by saved pairs"]
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if blocked
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else []
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)
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return web.json_response(
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{
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"success": True,
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"operation": LORA_OPERATION,
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"token": token,
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"expires_at": expires_at,
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"lora_files": found["lora_files"],
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"with_metadata": found["with_metadata"],
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"skipped": found["skipped"],
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"with_local_media": found["with_local_media"],
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"layout": layout,
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"current_imports": current,
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"blocked_by_pairs": blocked,
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"planned_downloads": downloads,
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"scope": {
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"count": found["with_metadata"],
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"label": (
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f"Replace {_count(current, 'imported prompt')} with "
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f"{_count(found['with_metadata'], 'LoRA')}"
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),
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},
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"protected": {"count": blocked, "reasons": reasons},
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"backup": {
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"policy": policy,
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"destination_label": f"{name}.backup_<date and time>",
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"expected_bytes": size if policy != "off" else None,
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},
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"media": {
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"deletes_files": False,
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"label": "No files are removed; image links are replaced",
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},
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"network": {
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"planned_downloads": downloads,
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"api_key": bool(IntegrationConfig.CIVITAI_API_KEY),
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},
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"details": [{"label": n, "detail": ""} for n in found["names"]],
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"disk": disk,
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},
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headers={"Cache-Control": "no-store"},
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)
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# ── apply ─────────────────────────────────────────────────────────
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async def apply_lora_import(self, request):
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data, error = await self._read_maintenance_body(request, ("token",))
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if error is not None:
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return error
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token = data.get("token")
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if not isinstance(token, str) or not 0 < len(token) <= MAX_TOKEN_LENGTH:
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return _invalid("token must be the plan's token")
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plan, refused = self._peek_plan(token)
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if refused is not None:
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return refused
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if plan.operation != LORA_OPERATION:
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return _failure(
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"This review expired. Review the plan again.", 410, "plan-expired"
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)
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store = self._maintenance_plans
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db = self.db
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if plan.db_identity != self._database_identity(db):
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store.discard(token)
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return _failure(
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"The database was replaced since the review. Review again.",
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409,
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"storage-changed",
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)
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lm_path = plan.payload["path"]
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# M5: the integration must still be on and at the reviewed install.
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current, _refused = await self._lora_source()
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if current != lm_path:
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store.discard(token)
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return _failure(INTEGRATION_CHANGED, 409, "plan-changed")
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try:
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discovery = await self._run_in_executor(lora_import.discover, lm_path)
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now = await self._run_in_executor(lora_import.fingerprint, discovery)
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backup = self._backup_promised(plan)
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_disk, short, _size = await self._run_in_executor(
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disk_plan, db.model.db_path, backup=backup, vacuum=False
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)
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except Exception:
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self.logger.exception("LoRA import could not start")
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return _failure(
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"The import could not start. Nothing was changed.", 500, "apply-failed"
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)
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if now != plan.fingerprint:
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store.discard(token)
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return _failure(SOURCE_CHANGED, 409, "plan-changed")
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if short is not None:
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return _failure(short_space_message(short), 507, "insufficient-space")
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plan, refused = self._peek_plan(token)
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if refused is not None:
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return refused
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try:
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job = self._jobs.start(
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LORA_IMPORT_JOB_KIND,
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lora_import.JOB_TITLE,
|
|
admission="records",
|
|
cancellable=True,
|
|
scope={
|
|
"operation": LORA_OPERATION,
|
|
"lora_files": len(discovery.sidecars),
|
|
},
|
|
groups=lora_import.GROUPS,
|
|
runner=lambda job: self._run_lora_import(
|
|
job, db, plan, discovery, backup
|
|
),
|
|
)
|
|
except JobBusy as busy:
|
|
return busy_response(busy)
|
|
store.consume(token, LORA_OPERATION, job_id=job.id)
|
|
return web.json_response({"success": True, "job": job.summary()}, status=202)
|
|
|
|
# ── the job ───────────────────────────────────────────────────────
|
|
|
|
async def _run_lora_import(self, job, db, plan, discovery, backup_on):
|
|
total = len(discovery.sidecars)
|
|
job.update(total=total, status_line="Preparing LoRA records")
|
|
job.log_line(f"Found {_count(total, 'LoRA metadata file')}")
|
|
|
|
def on_record(index, record, staged):
|
|
job.update(
|
|
processed=index + 1,
|
|
progress=int(90 * (index + 1) / max(total, 1)),
|
|
status_line=f"Prepared {index + 1:,} of {total:,}",
|
|
)
|
|
job.publish({"type": "progress", "progress": job.progress})
|
|
|
|
try:
|
|
staged = await self.stage_lora_import(
|
|
discovery, on_record=on_record, cancelled=lambda: job.cancelled
|
|
)
|
|
except lora_import.ImportCancelled:
|
|
job.log_line(f"{CANCELLED} {CACHE_NOTE}")
|
|
job.update(status_line=CANCELLED)
|
|
job.finish("cancelled")
|
|
return
|
|
except Exception:
|
|
self.logger.exception("LoRA import staging failed")
|
|
return _fail_job(job, "import-failed", f"{FAILED} {CACHE_NOTE}")
|
|
self._count_downloads(job, staged)
|
|
# M4: what staging skipped stays on the job whatever happens next.
|
|
job.record_counted(
|
|
"skipped",
|
|
len(staged.skipped),
|
|
[{"path": "", "detail": name} for name in staged.skipped],
|
|
)
|
|
# Past this point nothing stops halfway: the replace is one transaction.
|
|
# Published, so a view that offered Cancel during the downloads drops it.
|
|
job.cancellable = False
|
|
job.publish({"type": "progress", "progress": job.progress})
|
|
if job.cancelled:
|
|
job.log_line(f"{CANCELLED} {CACHE_NOTE}")
|
|
job.update(status_line=CANCELLED)
|
|
job.finish("cancelled")
|
|
return
|
|
ok, _backup = await self._safety_backup_step(job, db, backup_on)
|
|
if not ok:
|
|
return
|
|
# I1: the files are listed and fingerprinted again right before the
|
|
# replace, so a file changed, removed or added while the downloads ran
|
|
# (LoraManager refreshing its CivitAI info) aborts with nothing deleted.
|
|
if not await self.lora_files_unchanged(plan.payload["path"], plan.fingerprint):
|
|
return _fail_job(job, "plan-changed", f"{SOURCE_CHANGED} {CACHE_NOTE}")
|
|
job.update(status_line="Replacing the LoRA collection", progress=95)
|
|
await self._replace_in_job(job, db, plan, staged)
|
|
|
|
def _count_downloads(self, job, staged):
|
|
downloaded = staged.stats.get("downloaded", 0)
|
|
errors = staged.stats.get("download_errors", 0)
|
|
job.record_counted("downloaded", downloaded)
|
|
rows = []
|
|
if errors and not downloaded:
|
|
warning = _all_downloads_failed(errors)
|
|
rows = [{"path": "", "detail": f"{warning}; the log has the details"}]
|
|
job.log_line(warning)
|
|
job.record_counted("download_errors", errors, rows)
|
|
if downloaded or errors:
|
|
job.log_line(
|
|
f"Downloaded {_count(downloaded, 'example image')}"
|
|
+ (f"; {errors:,} could not be downloaded" if errors else "")
|
|
)
|
|
|
|
async def _replace_in_job(self, job, db, plan, staged):
|
|
try:
|
|
result = await self.replace_lora_imports(
|
|
db,
|
|
staged,
|
|
expected_ids=plan.payload["expected_ids"],
|
|
allow_empty=plan.payload["empty"],
|
|
)
|
|
except PlanChanged:
|
|
return _fail_job(job, "plan-changed", f"{IMPORTS_CHANGED} {CACHE_NOTE}")
|
|
except PairDependencyError:
|
|
return _fail_job(job, "blocked-by-pairs", f"{BLOCKED} {CACHE_NOTE}")
|
|
except EmptyReplacement:
|
|
return _fail_job(job, "nothing-to-import", f"{EMPTY} {CACHE_NOTE}")
|
|
except Exception:
|
|
self.logger.exception("LoRA import failed")
|
|
return _fail_job(job, "import-failed", f"{FAILED} {CACHE_NOTE}")
|
|
rows = {"imported": [], "linked": []}
|
|
for row in result["rows"]:
|
|
group = "imported" if row["outcome"] == "imported" else "linked"
|
|
rows[group].append({"path": "", "detail": row["name"]})
|
|
job.record_counted("imported", result["imported"], rows["imported"])
|
|
job.record_counted(
|
|
"linked", result["linked"] + result["duplicates"], rows["linked"]
|
|
)
|
|
line = _import_line(result, len(staged.skipped))
|
|
if result["removed"]:
|
|
job.log_line(f"Replaced {_count(result['removed'], 'previous import')}")
|
|
job.log_line(line)
|
|
line = _with_downloads(
|
|
line,
|
|
staged.stats.get("downloaded", 0),
|
|
staged.stats.get("download_errors", 0),
|
|
)
|
|
job.update(progress=100, processed=job.total, status_line=line)
|