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Author SHA1 Message Date
Trenton Holmes 8308ab0552 Fix: pass document chat queries as a QuerySet instead of a materialized list
In tracemalloc based profiling, not materializing the whole Document list
reduced memory to approximately 20% of the baseline, with a peak memory
that scaled with the library size.  Now, the lazt queryset is used and only
the needed pk value is actually contributing to memory
2026-08-10 19:39:57 -07:00
33 changed files with 234 additions and 751 deletions
+1 -2
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@@ -1084,8 +1084,7 @@ Paperless-ngx supports performing OCR on documents using remote services. At the
[Microsoft's Azure "Document Intelligence" service](https://azure.microsoft.com/en-us/products/ai-services/ai-document-intelligence). [Microsoft's Azure "Document Intelligence" service](https://azure.microsoft.com/en-us/products/ai-services/ai-document-intelligence).
This is of course a paid service (with a free tier) which requires an Azure account and subscription. Azure AI is not affiliated with This is of course a paid service (with a free tier) which requires an Azure account and subscription. Azure AI is not affiliated with
Paperless-ngx in any way. When enabled, Paperless-ngx will automatically send appropriate documents to Azure for OCR processing, bypassing Paperless-ngx in any way. When enabled, Paperless-ngx will automatically send appropriate documents to Azure for OCR processing, bypassing
the local OCR engine. See the [configuration](configuration.md#PAPERLESS_REMOTE_OCR_ENGINE) options for more details. These the local OCR engine. See the [configuration](configuration.md#PAPERLESS_REMOTE_OCR_ENGINE) options for more details.
settings can be supplied as environment variables or via **Application Configuration**.
Additionally, when using a commercial service with this feature, consider both potential costs as well as any associated file size Additionally, when using a commercial service with this feature, consider both potential costs as well as any associated file size
or page limitations (e.g. with a free tier). or page limitations (e.g. with a free tier).
+6 -13
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@@ -1703,7 +1703,7 @@
</context-group> </context-group>
<context-group purpose="location"> <context-group purpose="location">
<context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context> <context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context>
<context context-type="linenumber">34</context> <context context-type="linenumber">28</context>
</context-group> </context-group>
<context-group purpose="location"> <context-group purpose="location">
<context context-type="sourcefile">src/app/components/dashboard/widgets/statistics-widget/statistics-widget.component.html</context> <context context-type="sourcefile">src/app/components/dashboard/widgets/statistics-widget/statistics-widget.component.html</context>
@@ -3279,7 +3279,7 @@
</context-group> </context-group>
<context-group purpose="location"> <context-group purpose="location">
<context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context> <context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context>
<context context-type="linenumber">46</context> <context context-type="linenumber">40</context>
</context-group> </context-group>
<context-group purpose="location"> <context-group purpose="location">
<context context-type="sourcefile">src/app/components/dashboard/widgets/statistics-widget/statistics-widget.component.html</context> <context context-type="sourcefile">src/app/components/dashboard/widgets/statistics-widget/statistics-widget.component.html</context>
@@ -7070,39 +7070,32 @@
<context context-type="linenumber">143</context> <context context-type="linenumber">143</context>
</context-group> </context-group>
</trans-unit> </trans-unit>
<trans-unit id="8336346011691074629" datatype="html">
<source>No suggestions</source>
<context-group purpose="location">
<context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context>
<context context-type="linenumber">11,12</context>
</context-group>
</trans-unit>
<trans-unit id="5320136382998259826" datatype="html"> <trans-unit id="5320136382998259826" datatype="html">
<source>Suggest</source> <source>Suggest</source>
<context-group purpose="location"> <context-group purpose="location">
<context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context> <context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context>
<context context-type="linenumber">13,14</context> <context context-type="linenumber">8,9</context>
</context-group> </context-group>
</trans-unit> </trans-unit>
<trans-unit id="6934085657687954669" datatype="html"> <trans-unit id="6934085657687954669" datatype="html">
<source>Show suggestions</source> <source>Show suggestions</source>
<context-group purpose="location"> <context-group purpose="location">
<context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context> <context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context>
<context context-type="linenumber">23,24</context> <context context-type="linenumber">17,18</context>
</context-group> </context-group>
</trans-unit> </trans-unit>
<trans-unit id="3834115140127576673" datatype="html"> <trans-unit id="3834115140127576673" datatype="html">
<source>No novel suggestions</source> <source>No novel suggestions</source>
<context-group purpose="location"> <context-group purpose="location">
<context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context> <context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context>
<context context-type="linenumber">30,31</context> <context context-type="linenumber">24,25</context>
</context-group> </context-group>
</trans-unit> </trans-unit>
<trans-unit id="4369111787961525769" datatype="html"> <trans-unit id="4369111787961525769" datatype="html">
<source>Document Types</source> <source>Document Types</source>
<context-group purpose="location"> <context-group purpose="location">
<context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context> <context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context>
<context context-type="linenumber">40</context> <context context-type="linenumber">34</context>
</context-group> </context-group>
<context-group purpose="location"> <context-group purpose="location">
<context context-type="sourcefile">src/app/components/dashboard/widgets/statistics-widget/statistics-widget.component.html</context> <context context-type="sourcefile">src/app/components/dashboard/widgets/statistics-widget/statistics-widget.component.html</context>
+1 -1
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@@ -66,5 +66,5 @@
"ts-node": "~10.9.1", "ts-node": "~10.9.1",
"typescript": "^6.0.3" "typescript": "^6.0.3"
}, },
"packageManager": "pnpm@11.15.1" "packageManager": "pnpm@10.26.0"
} }
-1
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@@ -5,7 +5,6 @@ trustPolicy: no-downgrade
trustPolicyExclude: trustPolicyExclude:
- "chokidar@4.0.3" - "chokidar@4.0.3"
- "semver@6.3.1 || 5.7.2" - "semver@6.3.1 || 5.7.2"
blockExoticSubdeps: true
allowBuilds: allowBuilds:
"@parcel/watcher": true "@parcel/watcher": true
canvas: true canvas: true
@@ -14,48 +14,43 @@
<a ngbNavLink>{{category}}</a> <a ngbNavLink>{{category}}</a>
<ng-template ngbNavContent> <ng-template ngbNavContent>
<div class="p-3"> <div class="p-3">
@for (section of getCategorySections(category); track section) { <div class="row row-cols-1 row-cols-md-2 row-cols-lg-3 g-2">
@if (section) { @for (option of getCategoryOptions(category); track option.key) {
<h5 class="mt-4 mb-3">{{section}}</h5> <div class="col">
} <div class="card bg-light">
<div class="row row-cols-1 row-cols-md-2 row-cols-lg-3 g-2"> <div class="card-body">
@for (option of getCategoryOptions(category, section); track option.key) { <div class="card-title d-flex align-items-center">
<div class="col"> <h6 class="mb-0">
<div class="card bg-light"> {{option.title}}
<div class="card-body"> </h6>
<div class="card-title d-flex align-items-center"> <a class="btn btn-sm btn-link" title="Read the documentation about this setting" i18n-title [href]="getDocsUrl(option.config_key)" target="_blank" referrerpolicy="no-referrer">
<h6 class="mb-0"> <i-bs name="info-circle"></i-bs>
{{option.title}} </a>
</h6> @if (isSet(option.key)) {
<a class="btn btn-sm btn-link" title="Read the documentation about this setting" i18n-title [href]="getDocsUrl(option.config_key)" target="_blank" referrerpolicy="no-referrer"> <button type="button" class="btn btn-sm btn-link text-danger ms-auto pe-0" title="Reset" i18n-title (click)="resetOption(option.key)">
<i-bs name="info-circle"></i-bs> <i-bs class="me-1" name="x"></i-bs><ng-container i18n>Reset</ng-container>
</a> </button>
@if (isSet(option.key)) {
<button type="button" class="btn btn-sm btn-link text-danger ms-auto pe-0" title="Reset" i18n-title (click)="resetOption(option.key)">
<i-bs class="me-1" name="x"></i-bs><ng-container i18n>Reset</ng-container>
</button>
}
</div>
<div class="mb-n3">
@switch (option.type) {
@case (ConfigOptionType.Select) { <pngx-input-select [formControlName]="option.key" [error]="errors[option.key]" [items]="option.choices" [allowNull]="true"></pngx-input-select> }
@case (ConfigOptionType.Number) { <pngx-input-number [formControlName]="option.key" [error]="errors[option.key]" [showAdd]="false"></pngx-input-number> }
@case (ConfigOptionType.Boolean) { <pngx-input-switch [formControlName]="option.key" [error]="errors[option.key]" [showUnsetNote]="true" [horizontal]="true" title="Enable" i18n-title></pngx-input-switch> }
@case (ConfigOptionType.String) { <pngx-input-text [formControlName]="option.key" [error]="errors[option.key]"></pngx-input-text> }
@case (ConfigOptionType.JSON) { <pngx-input-text [formControlName]="option.key" [error]="errors[option.key]"></pngx-input-text> }
@case (ConfigOptionType.File) { <pngx-input-file [formControlName]="option.key" (upload)="uploadFile($event, option.key)" [error]="errors[option.key]"></pngx-input-file> }
@case (ConfigOptionType.Password) { <pngx-input-password [formControlName]="option.key" [error]="errors[option.key]"></pngx-input-password> }
}
</div>
@if (option.note) {
<div class="form-text fst-italic">{{option.note}}</div>
} }
</div> </div>
<div class="mb-n3">
@switch (option.type) {
@case (ConfigOptionType.Select) { <pngx-input-select [formControlName]="option.key" [error]="errors[option.key]" [items]="option.choices" [allowNull]="true"></pngx-input-select> }
@case (ConfigOptionType.Number) { <pngx-input-number [formControlName]="option.key" [error]="errors[option.key]" [showAdd]="false"></pngx-input-number> }
@case (ConfigOptionType.Boolean) { <pngx-input-switch [formControlName]="option.key" [error]="errors[option.key]" [showUnsetNote]="true" [horizontal]="true" title="Enable" i18n-title></pngx-input-switch> }
@case (ConfigOptionType.String) { <pngx-input-text [formControlName]="option.key" [error]="errors[option.key]"></pngx-input-text> }
@case (ConfigOptionType.JSON) { <pngx-input-text [formControlName]="option.key" [error]="errors[option.key]"></pngx-input-text> }
@case (ConfigOptionType.File) { <pngx-input-file [formControlName]="option.key" (upload)="uploadFile($event, option.key)" [error]="errors[option.key]"></pngx-input-file> }
@case (ConfigOptionType.Password) { <pngx-input-password [formControlName]="option.key" [error]="errors[option.key]"></pngx-input-password> }
}
</div>
@if (option.note) {
<div class="form-text fst-italic">{{option.note}}</div>
}
</div> </div>
</div> </div>
} </div>
</div> }
} </div>
</div> </div>
</ng-template> </ng-template>
</li> </li>
@@ -8,11 +8,7 @@ import { NgbModule } from '@ng-bootstrap/ng-bootstrap'
import { NgSelectModule } from '@ng-select/ng-select' import { NgSelectModule } from '@ng-select/ng-select'
import { NgxBootstrapIconsModule, allIcons } from 'ngx-bootstrap-icons' import { NgxBootstrapIconsModule, allIcons } from 'ngx-bootstrap-icons'
import { of, throwError } from 'rxjs' import { of, throwError } from 'rxjs'
import { import { OutputTypeConfig } from 'src/app/data/paperless-config'
ConfigCategory,
ConfigSection,
OutputTypeConfig,
} from 'src/app/data/paperless-config'
import { ConfigService } from 'src/app/services/config.service' import { ConfigService } from 'src/app/services/config.service'
import { SettingsService } from 'src/app/services/settings.service' import { SettingsService } from 'src/app/services/settings.service'
import { ToastService } from 'src/app/services/toast.service' import { ToastService } from 'src/app/services/toast.service'
@@ -162,23 +158,4 @@ describe('ConfigComponent', () => {
component.resetOption('barcodes_enabled') component.resetOption('barcodes_enabled')
expect(component.configForm.get('barcodes_enabled').value).toBeNull() expect(component.configForm.get('barcodes_enabled').value).toBeNull()
}) })
it('should group options into sections within a category, or not', () => {
const sections = component.getCategorySections(ConfigCategory.OCR)
expect(sections).toEqual([null, ConfigSection.RemoteOCR])
expect(
component
.getCategoryOptions(ConfigCategory.OCR)
.map((option) => option.key)
).toContain('output_type')
expect(
component
.getCategoryOptions(ConfigCategory.OCR, ConfigSection.RemoteOCR)
.map((option) => option.key)
).toEqual([
'remote_ocr_engine',
'remote_ocr_api_key',
'remote_ocr_endpoint',
])
})
}) })
@@ -74,20 +74,8 @@ export class ConfigComponent
return Object.values(ConfigCategory) return Object.values(ConfigCategory)
} }
getCategorySections(category: string): string[] { getCategoryOptions(category: string): ConfigOption[] {
return [ return PaperlessConfigOptions.filter((o) => o.category === category)
...new Set(
PaperlessConfigOptions.filter((o) => o.category === category).map(
(o) => o.section ?? null // null means no section
)
),
]
}
getCategoryOptions(category: string, section: string = null): ConfigOption[] {
return PaperlessConfigOptions.filter(
(o) => o.category === category && (o.section ?? null) === section
)
} }
initialConfig: PaperlessConfig initialConfig: PaperlessConfig
@@ -2,16 +2,10 @@
<button type="button" class="btn btn-sm btn-outline-primary" (click)="clickSuggest()" [disabled]="disabled() || loading() || (suggestions() && !aiEnabled())"> <button type="button" class="btn btn-sm btn-outline-primary" (click)="clickSuggest()" [disabled]="disabled() || loading() || (suggestions() && !aiEnabled())">
@if (loading()) { @if (loading()) {
<div class="spinner-border spinner-border-sm" role="status"></div> <div class="spinner-border spinner-border-sm" role="status"></div>
} @else if (noSuggestions) {
<i-bs width="1.2em" height="1.2em" name="check-circle"></i-bs>
} @else { } @else {
<i-bs width="1.2em" height="1.2em" name="stars"></i-bs> <i-bs width="1.2em" height="1.2em" name="stars"></i-bs>
} }
@if (noSuggestions) { <span class="d-none d-lg-inline ps-1" i18n>Suggest</span>
<span class="d-none d-lg-inline ps-1" i18n>No suggestions</span>
} @else {
<span class="d-none d-lg-inline ps-1" i18n>Suggest</span>
}
@if (totalSuggestions > 0) { @if (totalSuggestions > 0) {
<span class="badge bg-primary ms-2">{{ totalSuggestions }}</span> <span class="badge bg-primary ms-2">{{ totalSuggestions }}</span>
} }
@@ -25,7 +19,7 @@
<div ngbDropdownMenu aria-labelledby="suggestionsDropdown" class="shadow suggestions-dropdown"> <div ngbDropdownMenu aria-labelledby="suggestionsDropdown" class="shadow suggestions-dropdown">
<div class="list-group list-group-flush small pb-0"> <div class="list-group list-group-flush small pb-0">
@if (totalSuggestions === 0) { @if (!suggestions()?.suggested_tags && !suggestions()?.suggested_document_types && !suggestions()?.suggested_correspondents) {
<div class="list-group-item text-muted fst-italic"> <div class="list-group-item text-muted fst-italic">
<small class="text-muted small fst-italic" i18n>No novel suggestions</small> <small class="text-muted small fst-italic" i18n>No novel suggestions</small>
</div> </div>
@@ -30,34 +30,6 @@ describe('SuggestionsDropdownComponent', () => {
expect(component.totalSuggestions).toBe(4) expect(component.totalSuggestions).toBe(4)
}) })
it('should show when a completed request returned no suggestions', () => {
fixture.componentRef.setInput('suggestions', {
correspondents: [],
tags: [],
document_types: [],
storage_paths: [],
dates: [],
})
fixture.detectChanges()
expect(component.noSuggestions).toBeTruthy()
expect(fixture.nativeElement.textContent).toContain('No suggestions')
})
it('should not show the empty state before a request or with suggestions', () => {
expect(component.noSuggestions).toBeFalsy()
fixture.componentRef.setInput('suggestions', {
correspondents: [],
tags: [42],
document_types: [],
storage_paths: [],
dates: [],
})
expect(component.noSuggestions).toBeFalsy()
})
it('should emit getSuggestions when clickSuggest is called and suggestions are null', () => { it('should emit getSuggestions when clickSuggest is called and suggestions are null', () => {
jest.spyOn(component.getSuggestions, 'emit') jest.spyOn(component.getSuggestions, 'emit')
fixture.componentRef.setInput('suggestions', null) fixture.componentRef.setInput('suggestions', null)
@@ -87,6 +59,5 @@ describe('SuggestionsDropdownComponent', () => {
}) })
component.clickSuggest() component.clickSuggest()
expect(component.dropdown.open).toBeTruthy() expect(component.dropdown.open).toBeTruthy()
expect(fixture.nativeElement.textContent).toContain('No novel suggestions')
}) })
}) })
@@ -61,21 +61,4 @@ export class SuggestionsDropdownComponent {
this.suggestions()?.suggested_document_types?.length || 0 this.suggestions()?.suggested_document_types?.length || 0
) )
} }
get noSuggestions(): boolean {
const suggestions = this.suggestions()
return (
suggestions != null &&
!suggestions.title &&
!suggestions.tags?.length &&
!suggestions.suggested_tags?.length &&
!suggestions.correspondents?.length &&
!suggestions.suggested_correspondents?.length &&
!suggestions.document_types?.length &&
!suggestions.suggested_document_types?.length &&
!suggestions.storage_paths?.length &&
!suggestions.suggested_storage_paths?.length &&
!suggestions.dates?.length
)
}
} }
-39
View File
@@ -54,10 +54,6 @@ export const ConfigCategory = {
AI: $localize`AI Settings`, AI: $localize`AI Settings`,
} }
export const ConfigSection = {
RemoteOCR: $localize`Remote OCR`,
}
export const LLMEmbeddingBackendConfig = { export const LLMEmbeddingBackendConfig = {
OPENAI_LIKE: 'openai-like', OPENAI_LIKE: 'openai-like',
HUGGINGFACE: 'huggingface', HUGGINGFACE: 'huggingface',
@@ -69,10 +65,6 @@ export const LLMBackendConfig = {
OLLAMA: 'ollama', OLLAMA: 'ollama',
} }
export const RemoteOCREngineConfig = {
AZURE_AI: 'azureai',
}
export interface ConfigOption { export interface ConfigOption {
key: string key: string
title: string title: string
@@ -80,7 +72,6 @@ export interface ConfigOption {
choices?: Array<{ id: string; name: string }> choices?: Array<{ id: string; name: string }>
config_key?: string config_key?: string
category: string category: string
section?: string
note?: string note?: string
} }
@@ -190,33 +181,6 @@ export const PaperlessConfigOptions: ConfigOption[] = [
config_key: 'PAPERLESS_OCR_USER_ARGS', config_key: 'PAPERLESS_OCR_USER_ARGS',
category: ConfigCategory.OCR, category: ConfigCategory.OCR,
}, },
{
key: 'remote_ocr_engine',
title: $localize`Remote OCR Engine`,
type: ConfigOptionType.Select,
choices: mapToItems(RemoteOCREngineConfig),
config_key: 'PAPERLESS_REMOTE_OCR_ENGINE',
category: ConfigCategory.OCR,
section: ConfigSection.RemoteOCR,
note: $localize`Enabling remote OCR sends documents to a third-party service for processing. Consider the privacy implications as well as potential costs before enabling.`,
},
{
key: 'remote_ocr_api_key',
title: $localize`Remote OCR API Key`,
type: ConfigOptionType.Password,
config_key: 'PAPERLESS_REMOTE_OCR_API_KEY',
category: ConfigCategory.OCR,
section: ConfigSection.RemoteOCR,
},
{
key: 'remote_ocr_endpoint',
title: $localize`Remote OCR Endpoint`,
type: ConfigOptionType.String,
config_key: 'PAPERLESS_REMOTE_OCR_ENDPOINT',
category: ConfigCategory.OCR,
section: ConfigSection.RemoteOCR,
note: $localize`Required when using the Azure AI engine.`,
},
{ {
key: 'app_logo', key: 'app_logo',
title: $localize`Application Logo`, title: $localize`Application Logo`,
@@ -434,9 +398,6 @@ export interface PaperlessConfig extends ObjectWithId {
barcode_enable_tag: boolean barcode_enable_tag: boolean
barcode_tag_mapping: object barcode_tag_mapping: object
barcode_tag_split: boolean barcode_tag_split: boolean
remote_ocr_engine: string
remote_ocr_api_key: string
remote_ocr_endpoint: string
ai_enabled: boolean ai_enabled: boolean
llm_embedding_backend: string llm_embedding_backend: string
llm_embedding_model: string llm_embedding_model: string
-6
View File
@@ -1047,12 +1047,6 @@ class PermittedObjectsFilter(BaseFilterBackend):
perm_codename: str | None = None perm_codename: str | None = None
def filter_queryset(self, request, queryset, view): def filter_queryset(self, request, queryset, view):
# Before the superuser and owner-only paths, neither of which consults
# permitted_object_ids. Scoped to authenticated users so anonymous
# access (AnonymousUser.is_active is False) keeps its existing
# unowned-only behaviour.
if request.user.is_authenticated and not request.user.is_active:
return queryset.none()
if request.user.is_superuser: if request.user.is_superuser:
return queryset return queryset
if not self.include_granted: if not self.include_granted:
+3 -18
View File
@@ -54,15 +54,11 @@ class PaperlessObjectPermissions(DjangoObjectPermissions):
class PaperlessAdminPermissions(BasePermission): class PaperlessAdminPermissions(BasePermission):
def has_permission(self, request, view): def has_permission(self, request, view):
return request.user.is_active and request.user.is_staff return request.user.is_staff
def has_global_statistics_permission(user: User | None) -> bool: def has_global_statistics_permission(user: User | None) -> bool:
if ( if user is None or not getattr(user, "is_authenticated", False):
user is None
or not getattr(user, "is_active", False)
or not getattr(user, "is_authenticated", False)
):
return False return False
return getattr(user, "is_superuser", False) or user.has_perm( return getattr(user, "is_superuser", False) or user.has_perm(
@@ -71,11 +67,7 @@ def has_global_statistics_permission(user: User | None) -> bool:
def has_system_status_permission(user: User | None) -> bool: def has_system_status_permission(user: User | None) -> bool:
if ( if user is None or not getattr(user, "is_authenticated", False):
user is None
or not getattr(user, "is_active", False)
or not getattr(user, "is_authenticated", False)
):
return False return False
return ( return (
@@ -196,13 +188,6 @@ def permitted_object_ids(
if user is None or not getattr(user, "is_authenticated", False): if user is None or not getattr(user, "is_authenticated", False):
return base_qs.filter(owner__isnull=True).values_list("id", flat=True) return base_qs.filter(owner__isnull=True).values_list("id", flat=True)
# Deactivated users get nothing, deactivated superusers included, so this
# has to come before the superuser shortcut. guardian's
# ObjectPermissionChecker denies inactive users, but get_objects_for_user
# (the pattern this replaces) does not, so it would not be inherited.
if not getattr(user, "is_active", False):
return base_qs.none().values_list("id", flat=True)
if getattr(user, "is_superuser", False): if getattr(user, "is_superuser", False):
return base_qs.values_list("id", flat=True) return base_qs.values_list("id", flat=True)
@@ -72,9 +72,6 @@ class TestApiAppConfig(DirectoriesMixin, APITestCase):
"barcode_enable_tag": None, "barcode_enable_tag": None,
"barcode_tag_mapping": None, "barcode_tag_mapping": None,
"barcode_tag_split": None, "barcode_tag_split": None,
"remote_ocr_engine": None,
"remote_ocr_api_key": None,
"remote_ocr_endpoint": None,
"ai_enabled": False, "ai_enabled": False,
"llm_embedding_backend": None, "llm_embedding_backend": None,
"llm_embedding_model": None, "llm_embedding_model": None,
@@ -873,49 +870,6 @@ class TestApiAppConfig(DirectoriesMixin, APITestCase):
config.refresh_from_db() config.refresh_from_db()
self.assertEqual(config.llm_api_key, None) self.assertEqual(config.llm_api_key, None)
def test_update_remote_ocr_api_key(self) -> None:
"""
GIVEN:
- Existing config with remote_ocr_api_key specified
WHEN:
- API to update remote_ocr_api_key is called with all *s
- API to update remote_ocr_api_key is called with empty string
THEN:
- remote_ocr_api_key is unchanged
- remote_ocr_api_key is set to None
"""
config = ApplicationConfiguration.objects.first()
assert config is not None
config.remote_ocr_api_key = "1234567890"
config.save()
# Test with all *
response = self.client.patch(
f"{self.ENDPOINT}1/",
json.dumps(
{
"remote_ocr_api_key": "*" * 32,
},
),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
config.refresh_from_db()
self.assertEqual(config.remote_ocr_api_key, "1234567890")
# Test with empty string
response = self.client.patch(
f"{self.ENDPOINT}1/",
json.dumps(
{
"remote_ocr_api_key": "",
},
),
content_type="application/json",
)
self.assertEqual(response.status_code, status.HTTP_200_OK)
config.refresh_from_db()
self.assertEqual(config.remote_ocr_api_key, None)
def test_enable_ai_index_triggers_update(self) -> None: def test_enable_ai_index_triggers_update(self) -> None:
""" """
GIVEN: GIVEN:
@@ -496,28 +496,6 @@ class TestPermittedObjectIdsGenericModels:
expected_hidden=[strangers.pk], expected_hidden=[strangers.pk],
) )
@pytest.mark.parametrize("is_superuser", [False, True])
def test_inactive_user_sees_nothing(self, model, factory, perm, is_superuser):
suffix = f"{model.__name__}_{is_superuser}"
user = User.objects.create_user(
username=f"inactive_{suffix}",
is_active=False,
is_superuser=is_superuser,
)
other = User.objects.create_user(username=f"other_{suffix}")
granted = factory(owner=other)
assign_perm(perm, user, granted)
assert_visible_document_ids(
permitted_object_ids(user, model, perm),
expected_visible=[],
expected_hidden=[
factory(owner=None).pk,
factory(owner=user).pk,
granted.pk,
],
)
def test_unowned_object_visible_to_everyone(self, model, factory, perm): def test_unowned_object_visible_to_everyone(self, model, factory, perm):
user = User.objects.create_user(username=f"user_{model.__name__}") user = User.objects.create_user(username=f"user_{model.__name__}")
unowned = factory(owner=None) unowned = factory(owner=None)
@@ -68,44 +68,3 @@ class TestPermittedObjectsFilter:
visible_ids = set(result.values_list("id", flat=True)) visible_ids = set(result.values_list("id", flat=True))
assert visible_ids == {owned.pk} assert visible_ids == {owned.pk}
assert granted.pk not in visible_ids assert granted.pk not in visible_ids
@pytest.mark.parametrize(
("username", "is_superuser"),
[("inactive", False), ("inactive_super", True)],
)
def test_inactive_user_sees_nothing(self, username: str, *, is_superuser: bool):
user = User.objects.create_user(
username=username,
is_active=False,
is_superuser=is_superuser,
)
TagFactory(owner=None)
TagFactory(owner=user)
granted = TagFactory(owner=User.objects.create_user(username=f"o_{username}"))
assign_perm("view_tag", user, granted)
request = APIRequestFactory().get("/")
request.user = user
result = PermittedObjectsFilter().filter_queryset(
request,
Tag.objects.all(),
_DummyView(),
)
assert result.count() == 0
def test_inactive_user_sees_nothing_with_include_granted_false(self):
user = User.objects.create_user(username="inactive_owner", is_active=False)
TagFactory(owner=user)
TagFactory(owner=None)
request = APIRequestFactory().get("/")
request.user = user
class _OwnerOnlyFilter(PermittedObjectsFilter):
include_granted = False
result = _OwnerOnlyFilter().filter_queryset(
request,
Tag.objects.all(),
_DummyView(),
)
assert result.count() == 0
+1 -1
View File
@@ -2267,7 +2267,7 @@ class ChatStreamingView(GenericAPIView[Any]):
if not has_perms_owner_aware(request.user, "view_document", document): if not has_perms_owner_aware(request.user, "view_document", document):
return HttpResponseForbidden("Insufficient permissions") return HttpResponseForbidden("Insufficient permissions")
documents = [document] documents = Document.objects.filter(pk=document.pk)
else: else:
documents = Document.objects.filter( documents = Document.objects.filter(
id__in=permitted_document_ids(request.user), id__in=permitted_document_ids(request.user),
+20 -20
View File
@@ -2,7 +2,7 @@ msgid ""
msgstr "" msgstr ""
"Project-Id-Version: paperless-ngx\n" "Project-Id-Version: paperless-ngx\n"
"Report-Msgid-Bugs-To: \n" "Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2026-08-10 02:25+0000\n" "POT-Creation-Date: 2026-08-07 20:00+0000\n"
"PO-Revision-Date: 2022-02-17 04:17\n" "PO-Revision-Date: 2022-02-17 04:17\n"
"Last-Translator: \n" "Last-Translator: \n"
"Language-Team: English\n" "Language-Team: English\n"
@@ -21,39 +21,39 @@ msgstr ""
msgid "Documents" msgid "Documents"
msgstr "" msgstr ""
#: documents/filters.py:471 #: documents/filters.py:472
msgid "Value must be valid JSON." msgid "Value must be valid JSON."
msgstr "" msgstr ""
#: documents/filters.py:490 #: documents/filters.py:491
msgid "Invalid custom field query expression" msgid "Invalid custom field query expression"
msgstr "" msgstr ""
#: documents/filters.py:500 #: documents/filters.py:501
msgid "Invalid expression list. Must be nonempty." msgid "Invalid expression list. Must be nonempty."
msgstr "" msgstr ""
#: documents/filters.py:521 #: documents/filters.py:522
msgid "Invalid logical operator {op!r}" msgid "Invalid logical operator {op!r}"
msgstr "" msgstr ""
#: documents/filters.py:535 #: documents/filters.py:536
msgid "Maximum number of query conditions exceeded." msgid "Maximum number of query conditions exceeded."
msgstr "" msgstr ""
#: documents/filters.py:599 #: documents/filters.py:600
msgid "{name!r} is not a valid custom field." msgid "{name!r} is not a valid custom field."
msgstr "" msgstr ""
#: documents/filters.py:636 #: documents/filters.py:637
msgid "{data_type} does not support query expr {expr!r}." msgid "{data_type} does not support query expr {expr!r}."
msgstr "" msgstr ""
#: documents/filters.py:755 documents/models.py:136 #: documents/filters.py:756 documents/models.py:136
msgid "Maximum nesting depth exceeded." msgid "Maximum nesting depth exceeded."
msgstr "" msgstr ""
#: documents/filters.py:1079 #: documents/filters.py:1098
msgid "Custom field not found" msgid "Custom field not found"
msgstr "" msgstr ""
@@ -1352,7 +1352,7 @@ msgid "workflow runs"
msgstr "" msgstr ""
#: documents/serialisers.py:521 documents/serialisers.py:873 #: documents/serialisers.py:521 documents/serialisers.py:873
#: documents/serialisers.py:2767 documents/views.py:299 documents/views.py:2555 #: documents/serialisers.py:2767 documents/views.py:300 documents/views.py:2556
#: paperless_mail/serialisers.py:155 #: paperless_mail/serialisers.py:155
msgid "Insufficient permissions." msgid "Insufficient permissions."
msgstr "" msgstr ""
@@ -1393,7 +1393,7 @@ msgstr ""
msgid "Duplicate document identifiers are not allowed." msgid "Duplicate document identifiers are not allowed."
msgstr "" msgstr ""
#: documents/serialisers.py:2853 documents/views.py:4509 #: documents/serialisers.py:2853 documents/views.py:4510
#, python-format #, python-format
msgid "Documents not found: %(ids)s" msgid "Documents not found: %(ids)s"
msgstr "" msgstr ""
@@ -1661,36 +1661,36 @@ msgstr ""
msgid "Unable to parse URI {value}" msgid "Unable to parse URI {value}"
msgstr "" msgstr ""
#: documents/views.py:292 documents/views.py:2552 #: documents/views.py:293 documents/views.py:2553
msgid "Invalid more_like_id" msgid "Invalid more_like_id"
msgstr "" msgstr ""
#: documents/views.py:1566 #: documents/views.py:1567
msgid "Invalid AI configuration." msgid "Invalid AI configuration."
msgstr "" msgstr ""
#: documents/views.py:1575 #: documents/views.py:1576
msgid "AI backend request timed out." msgid "AI backend request timed out."
msgstr "" msgstr ""
#: documents/views.py:2377 documents/views.py:2698 #: documents/views.py:2378 documents/views.py:2699
msgid "Specify only one of text, title_search, query, or more_like_id." msgid "Specify only one of text, title_search, query, or more_like_id."
msgstr "" msgstr ""
#: documents/views.py:4522 #: documents/views.py:4523
#, python-format #, python-format
msgid "Insufficient permissions to share document %(id)s." msgid "Insufficient permissions to share document %(id)s."
msgstr "" msgstr ""
#: documents/views.py:4568 #: documents/views.py:4569
msgid "Bundle is already being processed." msgid "Bundle is already being processed."
msgstr "" msgstr ""
#: documents/views.py:4629 #: documents/views.py:4630
msgid "The share link bundle is still being prepared. Please try again later." msgid "The share link bundle is still being prepared. Please try again later."
msgstr "" msgstr ""
#: documents/views.py:4639 #: documents/views.py:4640
msgid "The share link bundle is unavailable." msgid "The share link bundle is unavailable."
msgstr "" msgstr ""
+1 -4
View File
@@ -19,10 +19,7 @@ class AutoLoginMiddleware(MiddlewareMixin):
if request.path.startswith("/api/token/") and request.method == "POST": if request.path.startswith("/api/token/") and request.method == "POST":
return None return None
try: try:
request.user = User.objects.get( request.user = User.objects.get(username=settings.AUTO_LOGIN_USERNAME)
username=settings.AUTO_LOGIN_USERNAME,
is_active=True,
)
auth.login( auth.login(
request=request, request=request,
user=request.user, user=request.user,
-24
View File
@@ -185,30 +185,6 @@ class GeneralConfig(BaseConfig):
self.app_logo = app_config.app_logo.url if app_config.app_logo else None self.app_logo = app_config.app_logo.url if app_config.app_logo else None
@dataclasses.dataclass
class RemoteOCRConfig(BaseConfig):
"""
Settings for the remote (cloud) OCR parser
"""
remote_ocr_engine: str | None = dataclasses.field(init=False)
remote_ocr_api_key: str | None = dataclasses.field(init=False)
remote_ocr_endpoint: str | None = dataclasses.field(init=False)
def __post_init__(self) -> None:
app_config = self._get_config_instance()
self.remote_ocr_engine = (
app_config.remote_ocr_engine or settings.REMOTE_OCR_ENGINE
)
self.remote_ocr_api_key = (
app_config.remote_ocr_api_key or settings.REMOTE_OCR_API_KEY
)
self.remote_ocr_endpoint = (
app_config.remote_ocr_endpoint or settings.REMOTE_OCR_ENDPOINT
)
@dataclasses.dataclass @dataclasses.dataclass
class AIConfig(BaseConfig): class AIConfig(BaseConfig):
""" """
@@ -1,44 +0,0 @@
# Generated by Django 5.2.16 on 2026-08-10 14:37
from django.db import migrations
from django.db import models
class Migration(migrations.Migration):
dependencies = [
("paperless", "0013_applicationconfiguration_llm_request_timeout"),
]
operations = [
migrations.AddField(
model_name="applicationconfiguration",
name="remote_ocr_api_key",
field=models.CharField(
blank=True,
max_length=1024,
null=True,
verbose_name="Sets the remote OCR API key",
),
),
migrations.AddField(
model_name="applicationconfiguration",
name="remote_ocr_endpoint",
field=models.CharField(
blank=True,
max_length=256,
null=True,
verbose_name="Sets the remote OCR endpoint",
),
),
migrations.AddField(
model_name="applicationconfiguration",
name="remote_ocr_engine",
field=models.CharField(
blank=True,
choices=[("azureai", "Azure AI Document Intelligence")],
max_length=32,
null=True,
verbose_name="Sets the remote OCR engine",
),
),
]
-37
View File
@@ -74,14 +74,6 @@ class ColorConvertChoices(models.TextChoices):
CMYK = ("CMYK", _("CMYK")) CMYK = ("CMYK", _("CMYK"))
class RemoteOCREngine(models.TextChoices):
"""
Matches to PAPERLESS_REMOTE_OCR_ENGINE
"""
AZURE_AI = ("azureai", _("Azure AI Document Intelligence"))
class LLMEmbeddingBackend(models.TextChoices): class LLMEmbeddingBackend(models.TextChoices):
OPENAI_LIKE = ("openai-like", _("OpenAI-compatible")) OPENAI_LIKE = ("openai-like", _("OpenAI-compatible"))
HUGGINGFACE = ("huggingface", _("Huggingface")) HUGGINGFACE = ("huggingface", _("Huggingface"))
@@ -294,35 +286,6 @@ class ApplicationConfiguration(AbstractSingletonModel):
null=True, null=True,
) )
"""
Settings for the remote OCR parser
"""
# PAPERLESS_REMOTE_OCR_ENGINE
remote_ocr_engine = models.CharField(
verbose_name=_("Sets the remote OCR engine"),
blank=True,
null=True,
max_length=32,
choices=RemoteOCREngine.choices,
)
# PAPERLESS_REMOTE_OCR_API_KEY
remote_ocr_api_key = models.CharField(
verbose_name=_("Sets the remote OCR API key"),
blank=True,
null=True,
max_length=1024,
)
# PAPERLESS_REMOTE_OCR_ENDPOINT
remote_ocr_endpoint = models.CharField(
verbose_name=_("Sets the remote OCR endpoint"),
blank=True,
null=True,
max_length=256,
)
""" """
AI related settings AI related settings
""" """
+10 -14
View File
@@ -57,18 +57,6 @@ class RemoteEngineConfig:
self.api_key = api_key self.api_key = api_key
self.endpoint = endpoint self.endpoint = endpoint
@classmethod
def from_app_config(cls) -> Self:
"""Build the config from the app config, falling back to the env."""
from paperless.config import RemoteOCRConfig
app_config = RemoteOCRConfig()
return cls(
engine=app_config.remote_ocr_engine,
api_key=app_config.remote_ocr_api_key,
endpoint=app_config.remote_ocr_endpoint,
)
def engine_is_valid(self) -> bool: def engine_is_valid(self) -> bool:
"""Return True when the engine is known and fully configured.""" """Return True when the engine is known and fully configured."""
return ( return (
@@ -150,7 +138,11 @@ class RemoteDocumentParser:
20 when the remote engine is configured and the MIME type is 20 when the remote engine is configured and the MIME type is
supported, otherwise None. supported, otherwise None.
""" """
config = RemoteEngineConfig.from_app_config() config = RemoteEngineConfig(
engine=settings.REMOTE_OCR_ENGINE,
api_key=settings.REMOTE_OCR_API_KEY,
endpoint=settings.REMOTE_OCR_ENDPOINT,
)
if not config.engine_is_valid(): if not config.engine_is_valid():
return None return None
if mime_type not in _SUPPORTED_MIME_TYPES: if mime_type not in _SUPPORTED_MIME_TYPES:
@@ -236,7 +228,11 @@ class RemoteDocumentParser:
Ignored the remote engine always returns a searchable PDF, Ignored the remote engine always returns a searchable PDF,
which is stored as the archive copy regardless of this flag. which is stored as the archive copy regardless of this flag.
""" """
config = RemoteEngineConfig.from_app_config() config = RemoteEngineConfig(
engine=settings.REMOTE_OCR_ENGINE,
api_key=settings.REMOTE_OCR_API_KEY,
endpoint=settings.REMOTE_OCR_ENDPOINT,
)
if not config.engine_is_valid(): if not config.engine_is_valid():
logger.warning( logger.warning(
+5 -15
View File
@@ -217,15 +217,7 @@ class ApplicationConfigurationSerializer(
llm_api_key = ObfuscatedPasswordField( llm_api_key = ObfuscatedPasswordField(
required=False, required=False,
allow_null=True, allow_null=True,
max_length=1024,
) )
remote_ocr_api_key = ObfuscatedPasswordField(
required=False,
allow_null=True,
max_length=1024,
)
OBFUSCATED_FIELDS = ("llm_api_key", "remote_ocr_api_key")
def run_validation(self, data): def run_validation(self, data):
# Empty strings treated as None to avoid unexpected behavior # Empty strings treated as None to avoid unexpected behavior
@@ -237,13 +229,11 @@ class ApplicationConfigurationSerializer(
data["language"] = None data["language"] = None
if "llm_output_language" in data and data["llm_output_language"] == "": if "llm_output_language" in data and data["llm_output_language"] == "":
data["llm_output_language"] = None data["llm_output_language"] = None
for field in self.OBFUSCATED_FIELDS: if "llm_api_key" in data and data["llm_api_key"] is not None:
if field in data and data[field] is not None: if data["llm_api_key"] == "":
if data[field] == "": data["llm_api_key"] = None
data[field] = None elif len(data["llm_api_key"].replace("*", "")) == 0:
# Not a real value, don't overwrite the stored one del data["llm_api_key"]
elif len(data[field].replace("*", "")) == 0:
del data[field]
return super().run_validation(data) return super().run_validation(data)
def update(self, instance, validated_data): def update(self, instance, validated_data):
@@ -21,7 +21,6 @@ from unittest.mock import Mock
import pytest import pytest
from documents.parsers import ParseError from documents.parsers import ParseError
from paperless.models import ApplicationConfiguration
from paperless.parsers import ParserContext from paperless.parsers import ParserContext
from paperless.parsers import ParserProtocol from paperless.parsers import ParserProtocol
from paperless.parsers.remote import RemoteDocumentParser from paperless.parsers.remote import RemoteDocumentParser
@@ -34,10 +33,6 @@ if TYPE_CHECKING:
from pytest_mock import MockerFixture from pytest_mock import MockerFixture
# Remote ocr config from ApplicationConfiguration needs DB access
pytestmark = pytest.mark.django_db
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
# Module-local fixtures # Module-local fixtures
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
@@ -232,18 +227,6 @@ class TestRemoteParserScore:
score = RemoteDocumentParser.score("application/pdf", "doc.pdf") score = RemoteDocumentParser.score("application/pdf", "doc.pdf")
assert score is not None and score > 10 assert score is not None and score > 10
@pytest.mark.usefixtures("no_engine_settings")
def test_score_uses_app_config_when_env_unset(self) -> None:
"""The app config alone is enough to activate the parser."""
config = ApplicationConfiguration.objects.first()
assert config is not None
config.remote_ocr_engine = "azureai"
config.remote_ocr_api_key = "app-config-key"
config.remote_ocr_endpoint = "https://config.cognitiveservices.azure.com"
config.save()
assert RemoteDocumentParser.score("application/pdf", "doc.pdf") == 20
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
# Properties # Properties
@@ -1277,8 +1277,6 @@ class TestParserFileTypes:
# --------------------------------------------------------------------------- # ---------------------------------------------------------------------------
# Remote ocr config from ApplicationConfiguration needs DB access
@pytest.mark.django_db
class TestRasterisedDocumentParserRegistry: class TestRasterisedDocumentParserRegistry:
def test_registered_in_defaults(self) -> None: def test_registered_in_defaults(self) -> None:
from paperless.parsers.registry import ParserRegistry from paperless.parsers.registry import ParserRegistry
@@ -1,53 +0,0 @@
from django.contrib.auth.models import AnonymousUser
from django.contrib.auth.models import User
from django.test import RequestFactory
from django.test import TestCase
from django.test import override_settings
from paperless.auth import AutoLoginMiddleware
@override_settings(AUTO_LOGIN_USERNAME="autologin")
class TestAutoLoginMiddleware(TestCase):
def setUp(self) -> None:
super().setUp()
self.factory = RequestFactory()
self.middleware = AutoLoginMiddleware(lambda request: None)
def _process(self, request):
# login() needs a session to write to
request.session = self.client.session
self.middleware.process_request(request)
return request
def test_active_user_is_logged_in(self) -> None:
"""
GIVEN:
- AUTO_LOGIN_USERNAME names an active user
WHEN:
- A request is processed by the middleware
THEN:
- That user is attached to the request
"""
user = User.objects.create_user(username="autologin")
request = self._process(self.factory.get("/"))
self.assertEqual(request.user, user)
def test_deactivated_user_is_not_logged_in(self) -> None:
"""
GIVEN:
- AUTO_LOGIN_USERNAME names a user who has been deactivated
WHEN:
- A request is processed by the middleware
THEN:
- The request is left anonymous rather than authenticated as them
"""
User.objects.create_user(username="autologin", is_active=False)
request = self.factory.get("/")
request.user = AnonymousUser()
self._process(request)
self.assertFalse(request.user.is_authenticated)
@@ -1,88 +0,0 @@
"""Tests for RemoteOCRConfig precedence between app config and Django settings."""
from __future__ import annotations
from typing import TYPE_CHECKING
import pytest
from django.test import override_settings
from paperless.config import RemoteOCRConfig
if TYPE_CHECKING:
from unittest.mock import MagicMock
@pytest.fixture()
def null_app_config(mocker) -> MagicMock:
"""Mock ApplicationConfiguration with all fields None → falls back to Django settings."""
return mocker.MagicMock(
remote_ocr_engine=None,
remote_ocr_api_key=None,
remote_ocr_endpoint=None,
)
@pytest.fixture()
def make_remote_ocr_config(mocker):
def _make(app_config, **django_settings_overrides):
mocker.patch(
"paperless.config.BaseConfig._get_config_instance",
return_value=app_config,
)
with override_settings(**django_settings_overrides):
return RemoteOCRConfig()
return _make
class TestRemoteOCRConfig:
def test_falls_back_to_settings(
self,
make_remote_ocr_config,
null_app_config,
) -> None:
cfg = make_remote_ocr_config(
null_app_config,
REMOTE_OCR_ENGINE="azureai",
REMOTE_OCR_API_KEY="env-key",
REMOTE_OCR_ENDPOINT="https://env.cognitiveservices.azure.com",
)
assert cfg.remote_ocr_engine == "azureai"
assert cfg.remote_ocr_api_key == "env-key"
assert cfg.remote_ocr_endpoint == "https://env.cognitiveservices.azure.com"
def test_app_config_takes_precedence(
self,
make_remote_ocr_config,
mocker,
) -> None:
app_config = mocker.MagicMock(
remote_ocr_engine="azureai",
remote_ocr_api_key="db-key",
remote_ocr_endpoint="https://db.cognitiveservices.azure.com",
)
cfg = make_remote_ocr_config(
app_config,
REMOTE_OCR_ENGINE=None,
REMOTE_OCR_API_KEY="env-key",
REMOTE_OCR_ENDPOINT="https://env.cognitiveservices.azure.com",
)
assert cfg.remote_ocr_engine == "azureai"
assert cfg.remote_ocr_api_key == "db-key"
assert cfg.remote_ocr_endpoint == "https://db.cognitiveservices.azure.com"
def test_unset_everywhere(
self,
make_remote_ocr_config,
null_app_config,
) -> None:
cfg = make_remote_ocr_config(
null_app_config,
REMOTE_OCR_ENGINE=None,
REMOTE_OCR_API_KEY=None,
REMOTE_OCR_ENDPOINT=None,
)
assert cfg.remote_ocr_engine is None
assert cfg.remote_ocr_api_key is None
assert cfg.remote_ocr_endpoint is None
+21 -6
View File
@@ -2,6 +2,8 @@ import json
import logging import logging
import sys import sys
from django.db.models import QuerySet
from documents.models import Document from documents.models import Document
from paperless.config import AIConfig from paperless.config import AIConfig
from paperless_ai.client import AIClient from paperless_ai.client import AIClient
@@ -82,10 +84,21 @@ def _build_document_reference(
def _get_document_references( def _get_document_references(
documents: list[Document], documents: QuerySet[Document],
top_nodes: list, top_nodes: list,
) -> list[dict[str, int | str]]: ) -> list[dict[str, int | str]]:
allowed_documents = {doc.pk: doc for doc in documents} candidate_ids: set[int] = set()
for node in top_nodes:
try:
candidate_ids.add(int(node.metadata["document_id"]))
except (KeyError, TypeError, ValueError): # pragma: no cover
continue
if not candidate_ids:
return []
allowed_documents = {doc.pk: doc for doc in documents.filter(pk__in=candidate_ids)}
references: list[dict[str, int | str]] = [] references: list[dict[str, int | str]] = []
seen_document_ids: set[int] = set() seen_document_ids: set[int] = set()
@@ -119,7 +132,7 @@ def _format_chat_metadata_trailer(references: list[dict[str, int | str]]) -> str
def stream_chat_with_documents( def stream_chat_with_documents(
query_str: str, query_str: str,
documents: list[Document], documents: QuerySet[Document],
output_language: str | None = None, output_language: str | None = None,
): ):
try: try:
@@ -135,10 +148,10 @@ def stream_chat_with_documents(
def _stream_chat_with_documents( def _stream_chat_with_documents(
query_str: str, query_str: str,
documents: list[Document], documents: QuerySet[Document],
output_language: str | None = None, output_language: str | None = None,
): ):
if not documents: if not documents.exists():
yield CHAT_NO_CONTENT_MESSAGE yield CHAT_NO_CONTENT_MESSAGE
return return
@@ -148,7 +161,9 @@ def _stream_chat_with_documents(
from llama_index.core.retrievers import VectorIndexRetriever from llama_index.core.retrievers import VectorIndexRetriever
config = AIConfig() config = AIConfig()
filters = _document_id_filters(str(doc.pk) for doc in documents) filters = _document_id_filters(
str(pk) for pk in documents.values_list("pk", flat=True)
)
# Hold the shared read lock for the whole operation: the query engine # Hold the shared read lock for the whole operation: the query engine
# retrieves from the vector store again during synthesis, so the connection # retrieves from the vector store again during synthesis, so the connection
+101 -46
View File
@@ -3,10 +3,12 @@ from unittest.mock import MagicMock
from unittest.mock import patch from unittest.mock import patch
import pytest import pytest
from django.db.models.signals import post_init
from llama_index.core import settings as llama_settings from llama_index.core import settings as llama_settings
from llama_index.core.embeddings.mock_embed_model import MockEmbedding from llama_index.core.embeddings.mock_embed_model import MockEmbedding
from llama_index.core.schema import TextNode from llama_index.core.schema import TextNode
from documents.models import Document
from documents.tests.factories import DocumentFactory from documents.tests.factories import DocumentFactory
from paperless_ai import chat from paperless_ai import chat
from paperless_ai import indexing from paperless_ai import indexing
@@ -36,16 +38,6 @@ def patch_embed_nodes():
yield mock_embed_nodes yield mock_embed_nodes
@pytest.fixture
def mock_document():
doc = MagicMock()
doc.pk = 1
doc.title = "Test Document"
doc.filename = "test_file.pdf"
doc.content = "This is the document content."
return doc
def assert_chat_output( def assert_chat_output(
output: list[str], output: list[str],
*, *,
@@ -61,6 +53,13 @@ def assert_chat_output(
} }
def _fake_documents_queryset(pks: list[int]) -> MagicMock:
qs = MagicMock()
qs.exists.return_value = bool(pks)
qs.values_list.return_value = pks
return qs
@pytest.mark.parametrize( @pytest.mark.parametrize(
("output_language", "expected_language_line"), ("output_language", "expected_language_line"),
[ [
@@ -107,9 +106,10 @@ def test_build_refine_prompt(
@pytest.mark.django_db @pytest.mark.django_db
def test_stream_chat_with_one_document_retrieval( def test_stream_chat_with_one_document_retrieval(
mock_document,
patch_embed_nodes, patch_embed_nodes,
) -> None: ) -> None:
document = DocumentFactory.create(title="Test Document", content="ignored")
documents = Document.objects.filter(pk=document.pk)
with ( with (
patch("paperless_ai.chat.AIClient") as mock_client_cls, patch("paperless_ai.chat.AIClient") as mock_client_cls,
patch("paperless_ai.chat.load_or_build_index") as mock_load_index, patch("paperless_ai.chat.load_or_build_index") as mock_load_index,
@@ -124,22 +124,19 @@ def test_stream_chat_with_one_document_retrieval(
mock_client_cls.return_value = mock_client mock_client_cls.return_value = mock_client
mock_client.llm = MagicMock() mock_client.llm = MagicMock()
mock_node = TextNode(
text="This is node content.",
metadata={"document_id": str(mock_document.pk), "title": "Test Document"},
)
mock_index = MagicMock() mock_index = MagicMock()
# Simulate get_nodes returning nodes (content exists) mock_index.vector_store.get_nodes.return_value = [
mock_index.vector_store.get_nodes.return_value = [mock_node] TextNode(
text="This is node content.",
metadata={"document_id": str(document.pk), "title": "Test Document"},
),
]
mock_load_index.return_value = mock_index mock_load_index.return_value = mock_index
mock_retriever_instance = MagicMock() mock_retriever_instance = MagicMock()
mock_retriever_instance.retrieve.return_value = [ mock_retriever_instance.retrieve.return_value = [
MagicMock( MagicMock(
metadata={ metadata={"document_id": str(document.pk), "title": "Test Document"},
"document_id": str(mock_document.pk),
"title": "Test Document",
},
), ),
] ]
@@ -153,7 +150,7 @@ def test_stream_chat_with_one_document_retrieval(
"llama_index.core.retrievers.VectorIndexRetriever", "llama_index.core.retrievers.VectorIndexRetriever",
return_value=mock_retriever_instance, return_value=mock_retriever_instance,
): ):
output = list(stream_chat_with_documents("What is this?", [mock_document])) output = list(stream_chat_with_documents("What is this?", documents))
mock_query_engine.query.assert_called_once_with("What is this?") mock_query_engine.query.assert_called_once_with("What is this?")
synthesizer_kwargs = mock_get_response_synthesizer.call_args.kwargs synthesizer_kwargs = mock_get_response_synthesizer.call_args.kwargs
@@ -166,13 +163,16 @@ def test_stream_chat_with_one_document_retrieval(
output, output,
expected_chunks=["chunk1", "chunk2"], expected_chunks=["chunk1", "chunk2"],
expected_references=[ expected_references=[
{"id": mock_document.pk, "title": "Test Document"}, {"id": document.pk, "title": "Test Document"},
], ],
) )
@pytest.mark.django_db @pytest.mark.django_db
def test_stream_chat_with_multiple_documents_retrieval(patch_embed_nodes) -> None: def test_stream_chat_with_multiple_documents_retrieval(patch_embed_nodes) -> None:
doc1 = DocumentFactory.create(title="Document 1", content="ignored")
doc2 = DocumentFactory.create(title="Document 2", content="ignored")
documents = Document.objects.filter(pk__in=[doc1.pk, doc2.pk])
with ( with (
patch("paperless_ai.chat.AIClient") as mock_client_cls, patch("paperless_ai.chat.AIClient") as mock_client_cls,
patch("paperless_ai.chat.load_or_build_index") as mock_load_index, patch("paperless_ai.chat.load_or_build_index") as mock_load_index,
@@ -184,23 +184,23 @@ def test_stream_chat_with_multiple_documents_retrieval(patch_embed_nodes) -> Non
mock_client_cls.return_value = mock_client mock_client_cls.return_value = mock_client
mock_client.llm = MagicMock() mock_client.llm = MagicMock()
mock_node1 = TextNode(
text="Content for doc 1.",
metadata={"document_id": "1", "title": "Document 1"},
)
mock_node2 = TextNode(
text="Content for doc 2.",
metadata={"document_id": "2", "title": "Document 2"},
)
mock_index = MagicMock() mock_index = MagicMock()
# Simulate get_nodes returning nodes (content exists) mock_index.vector_store.get_nodes.return_value = [
mock_index.vector_store.get_nodes.return_value = [mock_node1, mock_node2] TextNode(
text="Content for doc 1.",
metadata={"document_id": str(doc1.pk), "title": "Document 1"},
),
TextNode(
text="Content for doc 2.",
metadata={"document_id": str(doc2.pk), "title": "Document 2"},
),
]
mock_load_index.return_value = mock_index mock_load_index.return_value = mock_index
mock_retriever_instance = MagicMock() mock_retriever_instance = MagicMock()
mock_retriever_instance.retrieve.return_value = [ mock_retriever_instance.retrieve.return_value = [
MagicMock(metadata={"document_id": "1", "title": "Document 1"}), MagicMock(metadata={"document_id": str(doc1.pk), "title": "Document 1"}),
MagicMock(metadata={"document_id": "2", "title": "Document 2"}), MagicMock(metadata={"document_id": str(doc2.pk), "title": "Document 2"}),
] ]
mock_response_stream = MagicMock() mock_response_stream = MagicMock()
@@ -210,14 +210,11 @@ def test_stream_chat_with_multiple_documents_retrieval(patch_embed_nodes) -> Non
mock_query_engine_cls.return_value = mock_query_engine mock_query_engine_cls.return_value = mock_query_engine
mock_query_engine.query.return_value = mock_response_stream mock_query_engine.query.return_value = mock_response_stream
doc1 = MagicMock(pk=1, title="Document 1", filename="doc1.pdf")
doc2 = MagicMock(pk=2, title="Document 2", filename="doc2.pdf")
with patch( with patch(
"llama_index.core.retrievers.VectorIndexRetriever", "llama_index.core.retrievers.VectorIndexRetriever",
return_value=mock_retriever_instance, return_value=mock_retriever_instance,
): ):
output = list(stream_chat_with_documents("What's up?", [doc1, doc2])) output = list(stream_chat_with_documents("What's up?", documents))
mock_query_engine.query.assert_called_once_with("What's up?") mock_query_engine.query.assert_called_once_with("What's up?")
patch_embed_nodes.assert_not_called() patch_embed_nodes.assert_not_called()
@@ -225,15 +222,15 @@ def test_stream_chat_with_multiple_documents_retrieval(patch_embed_nodes) -> Non
output, output,
expected_chunks=["chunk1", "chunk2"], expected_chunks=["chunk1", "chunk2"],
expected_references=[ expected_references=[
{"id": 1, "title": "Document 1"}, {"id": doc1.pk, "title": "Document 1"},
{"id": 2, "title": "Document 2"}, {"id": doc2.pk, "title": "Document 2"},
], ],
) )
def test_stream_chat_empty_document_list() -> None: def test_stream_chat_empty_document_list() -> None:
with patch("paperless_ai.chat.load_or_build_index") as mock_load_index: with patch("paperless_ai.chat.load_or_build_index") as mock_load_index:
output = list(stream_chat_with_documents("Any info?", [])) output = list(stream_chat_with_documents("Any info?", Document.objects.none()))
mock_load_index.assert_not_called() mock_load_index.assert_not_called()
assert output == ["Sorry, I couldn't find any content to answer your question."] assert output == ["Sorry, I couldn't find any content to answer your question."]
@@ -253,7 +250,9 @@ def test_stream_chat_no_matching_nodes() -> None:
mock_index.vector_store.get_nodes.return_value = [] mock_index.vector_store.get_nodes.return_value = []
mock_load_index.return_value = mock_index mock_load_index.return_value = mock_index
output = list(stream_chat_with_documents("Any info?", [MagicMock(pk=1)])) output = list(
stream_chat_with_documents("Any info?", _fake_documents_queryset([1])),
)
assert output == ["Sorry, I couldn't find any content to answer your question."] assert output == ["Sorry, I couldn't find any content to answer your question."]
@@ -282,7 +281,9 @@ def test_stream_chat_unexpected_failure_returns_generic_error(caplog) -> None:
) )
mock_retriever_cls.return_value = mock_retriever mock_retriever_cls.return_value = mock_retriever
output = list(stream_chat_with_documents("Any info?", [MagicMock(pk=1)])) output = list(
stream_chat_with_documents("Any info?", _fake_documents_queryset([1])),
)
assert output == [CHAT_ERROR_MESSAGE] assert output == [CHAT_ERROR_MESSAGE]
assert "Failed to stream document chat response" in caplog.text assert "Failed to stream document chat response" in caplog.text
@@ -298,7 +299,12 @@ class TestStreamChatRetrieval:
) -> None: ) -> None:
doc = DocumentFactory.create(content="hello world") doc = DocumentFactory.create(content="hello world")
# Nothing indexed for this document yet. # Nothing indexed for this document yet.
out = list(chat.stream_chat_with_documents("question?", [doc])) out = list(
chat.stream_chat_with_documents(
"question?",
Document.objects.filter(pk=doc.pk),
),
)
assert chat.CHAT_NO_CONTENT_MESSAGE in out assert chat.CHAT_NO_CONTENT_MESSAGE in out
def test_chat_filter_contains_only_requested_document_ids( def test_chat_filter_contains_only_requested_document_ids(
@@ -332,7 +338,12 @@ class TestStreamChatRetrieval:
side_effect=capture_retriever, side_effect=capture_retriever,
) )
list(chat.stream_chat_with_documents("question?", [included])) list(
chat.stream_chat_with_documents(
"question?",
Document.objects.filter(pk=included.pk),
),
)
assert captured_filters, "VectorIndexRetriever was never constructed" assert captured_filters, "VectorIndexRetriever was never constructed"
filt = captured_filters[0] filt = captured_filters[0]
@@ -340,3 +351,47 @@ class TestStreamChatRetrieval:
filter_values = filt.filters[0].value filter_values = filt.filters[0].value
assert str(included.pk) in filter_values assert str(included.pk) in filter_values
assert str(excluded.pk) not in filter_values assert str(excluded.pk) not in filter_values
@pytest.mark.django_db
def test_get_document_references_only_queries_referenced_documents(
self,
django_assert_num_queries,
) -> None:
"""Building references must not hydrate every document the caller is
permitted to see -- only the (<= CHAT_RETRIEVER_TOP_K) documents that
the retriever actually returned nodes for.
"""
referenced = DocumentFactory.create(title="Referenced Document")
# Many more documents are "accessible" but never referenced by a node.
DocumentFactory.create_batch(200)
documents = Document.objects.all()
top_nodes = [
MagicMock(
metadata={
"document_id": str(referenced.pk),
"title": "Referenced Document",
},
),
]
hydrated_count = 0
def _count_hydration(sender, instance, **kwargs):
nonlocal hydrated_count
hydrated_count += 1
post_init.connect(_count_hydration, sender=Document)
try:
# One query: `documents.filter(pk__in=candidate_ids)` for the single
# referenced id. No query should scale with the 200 unreferenced documents.
with django_assert_num_queries(1):
references = chat._get_document_references(documents, top_nodes)
finally:
post_init.disconnect(_count_hydration, sender=Document)
# The bug this guards against: the old code hydrated all 201 accessible
# documents via `{doc.pk: doc for doc in documents}` before filtering by
# top_nodes. Only the referenced document should ever be constructed.
assert hydrated_count == 1
assert references == [{"id": referenced.pk, "title": "Referenced Document"}]
-27
View File
@@ -757,30 +757,3 @@ class TestAPIProcessedMails(DirectoriesMixin, APITestCase):
format="json", format="json",
) )
self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST)
def test_bulk_delete_processed_mails_rejects_mixed_batch_atomically(self) -> None:
"""
GIVEN:
- A permitted processed mail and one the user may not delete
WHEN:
- API call bulk deletes both in a single request
THEN:
- The request is rejected and neither mail is deleted
"""
user2 = User.objects.create_user(username="temp_admin2")
rule = MailRuleFactory()
# Created first so it sorts ahead of the forbidden mail, i.e. the
# permission check has to cover the whole batch before deleting rather
# than rejecting only once it reaches the forbidden one.
pm_owned = ProcessedMailFactory(rule=rule, owner=self.user)
pm_forbidden = ProcessedMailFactory(rule=rule, owner=user2)
response = self.client.post(
f"{self.ENDPOINT}bulk_delete/",
data={"mail_ids": [pm_owned.id, pm_forbidden.id]},
format="json",
)
self.assertEqual(response.status_code, status.HTTP_403_FORBIDDEN)
self.assertTrue(ProcessedMail.objects.filter(id=pm_owned.id).exists())
self.assertTrue(ProcessedMail.objects.filter(id=pm_forbidden.id).exists())
+4 -12
View File
@@ -27,7 +27,6 @@ from documents.filters import PermittedObjectsFilter
from documents.models import PaperlessTask from documents.models import PaperlessTask
from documents.permissions import PaperlessObjectPermissions from documents.permissions import PaperlessObjectPermissions
from documents.permissions import has_perms_owner_aware from documents.permissions import has_perms_owner_aware
from documents.permissions import permitted_object_ids
from documents.views import PassUserMixin from documents.views import PassUserMixin
from paperless.views import StandardPagination from paperless.views import StandardPagination
from paperless_mail.filters import ProcessedMailFilterSet from paperless_mail.filters import ProcessedMailFilterSet
@@ -212,17 +211,10 @@ class ProcessedMailViewSet(PassUserMixin, ReadOnlyModelViewSet[ProcessedMail]):
): ):
return HttpResponseBadRequest("mail_ids must be a list of integers") return HttpResponseBadRequest("mail_ids must be a list of integers")
mails = ProcessedMail.objects.filter(id__in=mail_ids) mails = ProcessedMail.objects.filter(id__in=mail_ids)
# Check every id up front so an unpermitted one rejects the whole for mail in mails:
# request rather than deleting the mails ahead of it first. if not has_perms_owner_aware(request.user, "delete_processedmail", mail):
if mails.exclude( return HttpResponseForbidden("Insufficient permissions")
pk__in=permitted_object_ids( mail.delete()
request.user,
ProcessedMail,
"delete_processedmail",
),
).exists():
return HttpResponseForbidden("Insufficient permissions")
mails.delete()
return Response({"result": "OK", "deleted_mail_ids": mail_ids}) return Response({"result": "OK", "deleted_mail_ids": mail_ids})
Generated
+22 -22
View File
@@ -1298,16 +1298,16 @@ wheels = [
[[package]] [[package]]
name = "fpdf2" name = "fpdf2"
version = "2.8.8" version = "2.8.7"
source = { registry = "https://pypi.org/simple" } source = { registry = "https://pypi.org/simple" }
dependencies = [ dependencies = [
{ name = "defusedxml", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" }, { name = "defusedxml", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "fonttools", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" }, { name = "fonttools", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "pillow", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" }, { name = "pillow", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
] ]
sdist = { url = "https://files.pythonhosted.org/packages/1e/bc/8fd4321aed40cadadddc8f311c65b6082346b252bca048f7b476d8f35d72/fpdf2-2.8.8.tar.gz", hash = "sha256:9e94e155e85e8053329a9a1fce8b566fd7a7c5bb79e98a1a3952d379b947c5b9", size = 374689, upload-time = "2026-08-09T23:32:45.334Z" } sdist = { url = "https://files.pythonhosted.org/packages/27/f2/72feae0b2827ed38013e4307b14f95bf0b3d124adfef4d38a7d57533f7be/fpdf2-2.8.7.tar.gz", hash = "sha256:7060ccee5a9c7ab0a271fb765a36a23639f83ef8996c34e3d46af0a17ede57f9", size = 362351, upload-time = "2026-02-28T05:39:16.456Z" }
wheels = [ wheels = [
{ url = "https://files.pythonhosted.org/packages/f5/be/af012eda9507494f28b99b077423806c43a11573eb6225dd46f19ae2d263/fpdf2-2.8.8-py3-none-any.whl", hash = "sha256:3557a478fc577a929c94aace9666aed4dcc432b5ab6764232e6a59f1ccd75f17", size = 337000, upload-time = "2026-08-09T23:32:43.728Z" }, { url = "https://files.pythonhosted.org/packages/66/0a/cf50ecffa1e3747ed9380a3adfc829259f1f86b3fdbd9e505af789003141/fpdf2-2.8.7-py3-none-any.whl", hash = "sha256:d391fc508a3ce02fc43a577c830cda4fe6f37646f2d143d489839940932fbc19", size = 327056, upload-time = "2026-02-28T05:39:14.619Z" },
] ]
[[package]] [[package]]
@@ -2927,8 +2927,8 @@ dependencies = [
{ name = "sqlite-vec", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" }, { name = "sqlite-vec", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "tantivy", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" }, { name = "tantivy", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "tika-client", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" }, { name = "tika-client", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "torch", version = "2.13.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "python_full_version < '3.15' and sys_platform == 'darwin'" }, { name = "torch", version = "2.13.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'darwin'" },
{ name = "torch", version = "2.13.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" }, { name = "torch", version = "2.13.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'linux'" },
{ name = "watchfiles", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" }, { name = "watchfiles", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "whitenoise", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" }, { name = "whitenoise", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "zxing-cpp", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" }, { name = "zxing-cpp", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
@@ -4511,8 +4511,8 @@ dependencies = [
{ name = "numpy", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" }, { name = "numpy", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "scikit-learn", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" }, { name = "scikit-learn", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "scipy", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" }, { name = "scipy", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "torch", version = "2.13.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "python_full_version < '3.15' and sys_platform == 'darwin'" }, { name = "torch", version = "2.13.0", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'darwin'" },
{ name = "torch", version = "2.13.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" }, { name = "torch", version = "2.13.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "sys_platform == 'linux'" },
{ name = "tqdm", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" }, { name = "tqdm", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "transformers", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" }, { name = "transformers", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" }, { name = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
@@ -4957,17 +4957,18 @@ name = "torch"
version = "2.13.0" version = "2.13.0"
source = { registry = "https://download.pytorch.org/whl/cpu" } source = { registry = "https://download.pytorch.org/whl/cpu" }
resolution-markers = [ resolution-markers = [
"python_full_version >= '3.15' and sys_platform == 'darwin'",
"python_full_version >= '3.12' and python_full_version < '3.15' and sys_platform == 'darwin'", "python_full_version >= '3.12' and python_full_version < '3.15' and sys_platform == 'darwin'",
"python_full_version < '3.12' and sys_platform == 'darwin'", "python_full_version < '3.12' and sys_platform == 'darwin'",
] ]
dependencies = [ dependencies = [
{ name = "filelock", marker = "python_full_version < '3.15' and sys_platform == 'darwin'" }, { name = "filelock", marker = "sys_platform == 'darwin'" },
{ name = "fsspec", marker = "python_full_version < '3.15' and sys_platform == 'darwin'" }, { name = "fsspec", marker = "sys_platform == 'darwin'" },
{ name = "jinja2", marker = "python_full_version < '3.15' and sys_platform == 'darwin'" }, { name = "jinja2", marker = "sys_platform == 'darwin'" },
{ name = "networkx", marker = "python_full_version < '3.15' and sys_platform == 'darwin'" }, { name = "networkx", marker = "sys_platform == 'darwin'" },
{ name = "setuptools", marker = "python_full_version < '3.15' and sys_platform == 'darwin'" }, { name = "setuptools", marker = "sys_platform == 'darwin'" },
{ name = "sympy", marker = "python_full_version < '3.15' and sys_platform == 'darwin'" }, { name = "sympy", marker = "sys_platform == 'darwin'" },
{ name = "typing-extensions", marker = "python_full_version < '3.15' and sys_platform == 'darwin'" }, { name = "typing-extensions", marker = "sys_platform == 'darwin'" },
] ]
wheels = [ wheels = [
{ url = "https://download-r2.pytorch.org/whl/cpu/torch-2.13.0-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:e76f9bcecc52b8ff711239a2f7547d5353df95878ab232f0773c1d95928b92f8", upload-time = "2026-07-08T12:26:13Z" }, { url = "https://download-r2.pytorch.org/whl/cpu/torch-2.13.0-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:e76f9bcecc52b8ff711239a2f7547d5353df95878ab232f0773c1d95928b92f8", upload-time = "2026-07-08T12:26:13Z" },
@@ -4982,7 +4983,6 @@ name = "torch"
version = "2.13.0+cpu" version = "2.13.0+cpu"
source = { registry = "https://download.pytorch.org/whl/cpu" } source = { registry = "https://download.pytorch.org/whl/cpu" }
resolution-markers = [ resolution-markers = [
"python_full_version >= '3.15' and sys_platform == 'darwin'",
"python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'linux'", "python_full_version == '3.12.*' and platform_machine == 'x86_64' and sys_platform == 'linux'",
"python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'linux'", "python_full_version == '3.12.*' and platform_machine == 'aarch64' and sys_platform == 'linux'",
"python_full_version >= '3.15' and sys_platform == 'linux'", "python_full_version >= '3.15' and sys_platform == 'linux'",
@@ -4990,13 +4990,13 @@ resolution-markers = [
"python_full_version < '3.12' and sys_platform == 'linux'", "python_full_version < '3.12' and sys_platform == 'linux'",
] ]
dependencies = [ dependencies = [
{ name = "filelock", marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" }, { name = "filelock", marker = "sys_platform == 'linux'" },
{ name = "fsspec", marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" }, { name = "fsspec", marker = "sys_platform == 'linux'" },
{ name = "jinja2", marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" }, { name = "jinja2", marker = "sys_platform == 'linux'" },
{ name = "networkx", marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" }, { name = "networkx", marker = "sys_platform == 'linux'" },
{ name = "setuptools", marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" }, { name = "setuptools", marker = "sys_platform == 'linux'" },
{ name = "sympy", marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" }, { name = "sympy", marker = "sys_platform == 'linux'" },
{ name = "typing-extensions", marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" }, { name = "typing-extensions", marker = "sys_platform == 'linux'" },
] ]
wheels = [ wheels = [
{ url = "https://download-r2.pytorch.org/whl/cpu/torch-2.13.0%2Bcpu-cp311-cp311-linux_s390x.whl", hash = "sha256:6e9817dbdf5ea76789babd46e457eac5bf14ff566cf85f8addbfdff2d56601ce", upload-time = "2026-07-08T19:27:52Z" }, { url = "https://download-r2.pytorch.org/whl/cpu/torch-2.13.0%2Bcpu-cp311-cp311-linux_s390x.whl", hash = "sha256:6e9817dbdf5ea76789babd46e457eac5bf14ff566cf85f8addbfdff2d56601ce", upload-time = "2026-07-08T19:27:52Z" },