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+2
-1
@@ -1084,7 +1084,8 @@ 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).
|
||||
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
|
||||
the local OCR engine. See the [configuration](configuration.md#PAPERLESS_REMOTE_OCR_ENGINE) options for more details.
|
||||
the local OCR engine. See the [configuration](configuration.md#PAPERLESS_REMOTE_OCR_ENGINE) options for more details. These
|
||||
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
|
||||
or page limitations (e.g. with a free tier).
|
||||
|
||||
+13
-6
@@ -1703,7 +1703,7 @@
|
||||
</context-group>
|
||||
<context-group purpose="location">
|
||||
<context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context>
|
||||
<context context-type="linenumber">28</context>
|
||||
<context context-type="linenumber">34</context>
|
||||
</context-group>
|
||||
<context-group purpose="location">
|
||||
<context context-type="sourcefile">src/app/components/dashboard/widgets/statistics-widget/statistics-widget.component.html</context>
|
||||
@@ -3279,7 +3279,7 @@
|
||||
</context-group>
|
||||
<context-group purpose="location">
|
||||
<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">46</context>
|
||||
</context-group>
|
||||
<context-group purpose="location">
|
||||
<context context-type="sourcefile">src/app/components/dashboard/widgets/statistics-widget/statistics-widget.component.html</context>
|
||||
@@ -7070,32 +7070,39 @@
|
||||
<context context-type="linenumber">143</context>
|
||||
</context-group>
|
||||
</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">
|
||||
<source>Suggest</source>
|
||||
<context-group purpose="location">
|
||||
<context context-type="sourcefile">src/app/components/common/suggestions-dropdown/suggestions-dropdown.component.html</context>
|
||||
<context context-type="linenumber">8,9</context>
|
||||
<context context-type="linenumber">13,14</context>
|
||||
</context-group>
|
||||
</trans-unit>
|
||||
<trans-unit id="6934085657687954669" datatype="html">
|
||||
<source>Show 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">17,18</context>
|
||||
<context context-type="linenumber">23,24</context>
|
||||
</context-group>
|
||||
</trans-unit>
|
||||
<trans-unit id="3834115140127576673" datatype="html">
|
||||
<source>No novel 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">24,25</context>
|
||||
<context context-type="linenumber">30,31</context>
|
||||
</context-group>
|
||||
</trans-unit>
|
||||
<trans-unit id="4369111787961525769" datatype="html">
|
||||
<source>Document Types</source>
|
||||
<context-group purpose="location">
|
||||
<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">40</context>
|
||||
</context-group>
|
||||
<context-group purpose="location">
|
||||
<context context-type="sourcefile">src/app/components/dashboard/widgets/statistics-widget/statistics-widget.component.html</context>
|
||||
|
||||
+1
-1
@@ -66,5 +66,5 @@
|
||||
"ts-node": "~10.9.1",
|
||||
"typescript": "^6.0.3"
|
||||
},
|
||||
"packageManager": "pnpm@10.26.0"
|
||||
"packageManager": "pnpm@11.15.1"
|
||||
}
|
||||
|
||||
@@ -5,6 +5,7 @@ trustPolicy: no-downgrade
|
||||
trustPolicyExclude:
|
||||
- "chokidar@4.0.3"
|
||||
- "semver@6.3.1 || 5.7.2"
|
||||
blockExoticSubdeps: true
|
||||
allowBuilds:
|
||||
"@parcel/watcher": true
|
||||
canvas: true
|
||||
|
||||
@@ -14,43 +14,48 @@
|
||||
<a ngbNavLink>{{category}}</a>
|
||||
<ng-template ngbNavContent>
|
||||
<div class="p-3">
|
||||
<div class="row row-cols-1 row-cols-md-2 row-cols-lg-3 g-2">
|
||||
@for (option of getCategoryOptions(category); track option.key) {
|
||||
<div class="col">
|
||||
<div class="card bg-light">
|
||||
<div class="card-body">
|
||||
<div class="card-title d-flex align-items-center">
|
||||
<h6 class="mb-0">
|
||||
{{option.title}}
|
||||
</h6>
|
||||
<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">
|
||||
<i-bs name="info-circle"></i-bs>
|
||||
</a>
|
||||
@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>
|
||||
@for (section of getCategorySections(category); track section) {
|
||||
@if (section) {
|
||||
<h5 class="mt-4 mb-3">{{section}}</h5>
|
||||
}
|
||||
<div class="row row-cols-1 row-cols-md-2 row-cols-lg-3 g-2">
|
||||
@for (option of getCategoryOptions(category, section); track option.key) {
|
||||
<div class="col">
|
||||
<div class="card bg-light">
|
||||
<div class="card-body">
|
||||
<div class="card-title d-flex align-items-center">
|
||||
<h6 class="mb-0">
|
||||
{{option.title}}
|
||||
</h6>
|
||||
<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">
|
||||
<i-bs name="info-circle"></i-bs>
|
||||
</a>
|
||||
@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($event, option.key)" [error]="errors[option.key]"></pngx-input-file> }
|
||||
@case (ConfigOptionType.Password) { <pngx-input-password [formControlName]="option.key" [error]="errors[option.key]"></pngx-input-password> }
|
||||
}
|
||||
</div>
|
||||
@if (option.note) {
|
||||
<div class="form-text fst-italic">{{option.note}}</div>
|
||||
}
|
||||
</div>
|
||||
<div class="mb-n3">
|
||||
@switch (option.type) {
|
||||
@case (ConfigOptionType.Select) { <pngx-input-select [formControlName]="option.key" [error]="errors[option.key]" [items]="option.choices" [allowNull]="true"></pngx-input-select> }
|
||||
@case (ConfigOptionType.Number) { <pngx-input-number [formControlName]="option.key" [error]="errors[option.key]" [showAdd]="false"></pngx-input-number> }
|
||||
@case (ConfigOptionType.Boolean) { <pngx-input-switch [formControlName]="option.key" [error]="errors[option.key]" [showUnsetNote]="true" [horizontal]="true" title="Enable" i18n-title></pngx-input-switch> }
|
||||
@case (ConfigOptionType.String) { <pngx-input-text [formControlName]="option.key" [error]="errors[option.key]"></pngx-input-text> }
|
||||
@case (ConfigOptionType.JSON) { <pngx-input-text [formControlName]="option.key" [error]="errors[option.key]"></pngx-input-text> }
|
||||
@case (ConfigOptionType.File) { <pngx-input-file [formControlName]="option.key" (upload)="uploadFile($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>
|
||||
</ng-template>
|
||||
</li>
|
||||
|
||||
@@ -8,7 +8,11 @@ import { NgbModule } from '@ng-bootstrap/ng-bootstrap'
|
||||
import { NgSelectModule } from '@ng-select/ng-select'
|
||||
import { NgxBootstrapIconsModule, allIcons } from 'ngx-bootstrap-icons'
|
||||
import { of, throwError } from 'rxjs'
|
||||
import { OutputTypeConfig } from 'src/app/data/paperless-config'
|
||||
import {
|
||||
ConfigCategory,
|
||||
ConfigSection,
|
||||
OutputTypeConfig,
|
||||
} from 'src/app/data/paperless-config'
|
||||
import { ConfigService } from 'src/app/services/config.service'
|
||||
import { SettingsService } from 'src/app/services/settings.service'
|
||||
import { ToastService } from 'src/app/services/toast.service'
|
||||
@@ -158,4 +162,23 @@ describe('ConfigComponent', () => {
|
||||
component.resetOption('barcodes_enabled')
|
||||
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',
|
||||
])
|
||||
})
|
||||
})
|
||||
|
||||
@@ -74,8 +74,20 @@ export class ConfigComponent
|
||||
return Object.values(ConfigCategory)
|
||||
}
|
||||
|
||||
getCategoryOptions(category: string): ConfigOption[] {
|
||||
return PaperlessConfigOptions.filter((o) => o.category === category)
|
||||
getCategorySections(category: string): string[] {
|
||||
return [
|
||||
...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
|
||||
|
||||
+8
-2
@@ -2,10 +2,16 @@
|
||||
<button type="button" class="btn btn-sm btn-outline-primary" (click)="clickSuggest()" [disabled]="disabled() || loading() || (suggestions() && !aiEnabled())">
|
||||
@if (loading()) {
|
||||
<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 {
|
||||
<i-bs width="1.2em" height="1.2em" name="stars"></i-bs>
|
||||
}
|
||||
<span class="d-none d-lg-inline ps-1" i18n>Suggest</span>
|
||||
@if (noSuggestions) {
|
||||
<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) {
|
||||
<span class="badge bg-primary ms-2">{{ totalSuggestions }}</span>
|
||||
}
|
||||
@@ -19,7 +25,7 @@
|
||||
|
||||
<div ngbDropdownMenu aria-labelledby="suggestionsDropdown" class="shadow suggestions-dropdown">
|
||||
<div class="list-group list-group-flush small pb-0">
|
||||
@if (!suggestions()?.suggested_tags && !suggestions()?.suggested_document_types && !suggestions()?.suggested_correspondents) {
|
||||
@if (totalSuggestions === 0) {
|
||||
<div class="list-group-item text-muted fst-italic">
|
||||
<small class="text-muted small fst-italic" i18n>No novel suggestions</small>
|
||||
</div>
|
||||
|
||||
+29
@@ -30,6 +30,34 @@ describe('SuggestionsDropdownComponent', () => {
|
||||
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', () => {
|
||||
jest.spyOn(component.getSuggestions, 'emit')
|
||||
fixture.componentRef.setInput('suggestions', null)
|
||||
@@ -59,5 +87,6 @@ describe('SuggestionsDropdownComponent', () => {
|
||||
})
|
||||
component.clickSuggest()
|
||||
expect(component.dropdown.open).toBeTruthy()
|
||||
expect(fixture.nativeElement.textContent).toContain('No novel suggestions')
|
||||
})
|
||||
})
|
||||
|
||||
+17
@@ -61,4 +61,21 @@ export class SuggestionsDropdownComponent {
|
||||
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
|
||||
)
|
||||
}
|
||||
}
|
||||
|
||||
@@ -54,6 +54,10 @@ export const ConfigCategory = {
|
||||
AI: $localize`AI Settings`,
|
||||
}
|
||||
|
||||
export const ConfigSection = {
|
||||
RemoteOCR: $localize`Remote OCR`,
|
||||
}
|
||||
|
||||
export const LLMEmbeddingBackendConfig = {
|
||||
OPENAI_LIKE: 'openai-like',
|
||||
HUGGINGFACE: 'huggingface',
|
||||
@@ -65,6 +69,10 @@ export const LLMBackendConfig = {
|
||||
OLLAMA: 'ollama',
|
||||
}
|
||||
|
||||
export const RemoteOCREngineConfig = {
|
||||
AZURE_AI: 'azureai',
|
||||
}
|
||||
|
||||
export interface ConfigOption {
|
||||
key: string
|
||||
title: string
|
||||
@@ -72,6 +80,7 @@ export interface ConfigOption {
|
||||
choices?: Array<{ id: string; name: string }>
|
||||
config_key?: string
|
||||
category: string
|
||||
section?: string
|
||||
note?: string
|
||||
}
|
||||
|
||||
@@ -181,6 +190,33 @@ export const PaperlessConfigOptions: ConfigOption[] = [
|
||||
config_key: 'PAPERLESS_OCR_USER_ARGS',
|
||||
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',
|
||||
title: $localize`Application Logo`,
|
||||
@@ -398,6 +434,9 @@ export interface PaperlessConfig extends ObjectWithId {
|
||||
barcode_enable_tag: boolean
|
||||
barcode_tag_mapping: object
|
||||
barcode_tag_split: boolean
|
||||
remote_ocr_engine: string
|
||||
remote_ocr_api_key: string
|
||||
remote_ocr_endpoint: string
|
||||
ai_enabled: boolean
|
||||
llm_embedding_backend: string
|
||||
llm_embedding_model: string
|
||||
|
||||
@@ -1047,6 +1047,12 @@ class PermittedObjectsFilter(BaseFilterBackend):
|
||||
perm_codename: str | None = None
|
||||
|
||||
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:
|
||||
return queryset
|
||||
if not self.include_granted:
|
||||
|
||||
@@ -54,11 +54,15 @@ class PaperlessObjectPermissions(DjangoObjectPermissions):
|
||||
|
||||
class PaperlessAdminPermissions(BasePermission):
|
||||
def has_permission(self, request, view):
|
||||
return request.user.is_staff
|
||||
return request.user.is_active and request.user.is_staff
|
||||
|
||||
|
||||
def has_global_statistics_permission(user: User | None) -> bool:
|
||||
if user is None or not getattr(user, "is_authenticated", False):
|
||||
if (
|
||||
user is None
|
||||
or not getattr(user, "is_active", False)
|
||||
or not getattr(user, "is_authenticated", False)
|
||||
):
|
||||
return False
|
||||
|
||||
return getattr(user, "is_superuser", False) or user.has_perm(
|
||||
@@ -67,7 +71,11 @@ def has_global_statistics_permission(user: User | None) -> bool:
|
||||
|
||||
|
||||
def has_system_status_permission(user: User | None) -> bool:
|
||||
if user is None or not getattr(user, "is_authenticated", False):
|
||||
if (
|
||||
user is None
|
||||
or not getattr(user, "is_active", False)
|
||||
or not getattr(user, "is_authenticated", False)
|
||||
):
|
||||
return False
|
||||
|
||||
return (
|
||||
@@ -188,6 +196,13 @@ def permitted_object_ids(
|
||||
if user is None or not getattr(user, "is_authenticated", False):
|
||||
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):
|
||||
return base_qs.values_list("id", flat=True)
|
||||
|
||||
|
||||
@@ -72,6 +72,9 @@ class TestApiAppConfig(DirectoriesMixin, APITestCase):
|
||||
"barcode_enable_tag": None,
|
||||
"barcode_tag_mapping": None,
|
||||
"barcode_tag_split": None,
|
||||
"remote_ocr_engine": None,
|
||||
"remote_ocr_api_key": None,
|
||||
"remote_ocr_endpoint": None,
|
||||
"ai_enabled": False,
|
||||
"llm_embedding_backend": None,
|
||||
"llm_embedding_model": None,
|
||||
@@ -870,6 +873,49 @@ class TestApiAppConfig(DirectoriesMixin, APITestCase):
|
||||
config.refresh_from_db()
|
||||
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:
|
||||
"""
|
||||
GIVEN:
|
||||
|
||||
@@ -496,6 +496,28 @@ class TestPermittedObjectIdsGenericModels:
|
||||
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):
|
||||
user = User.objects.create_user(username=f"user_{model.__name__}")
|
||||
unowned = factory(owner=None)
|
||||
|
||||
@@ -68,3 +68,44 @@ class TestPermittedObjectsFilter:
|
||||
visible_ids = set(result.values_list("id", flat=True))
|
||||
assert visible_ids == {owned.pk}
|
||||
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
|
||||
|
||||
@@ -2267,7 +2267,7 @@ class ChatStreamingView(GenericAPIView[Any]):
|
||||
if not has_perms_owner_aware(request.user, "view_document", document):
|
||||
return HttpResponseForbidden("Insufficient permissions")
|
||||
|
||||
documents = Document.objects.filter(pk=document.pk)
|
||||
documents = [document]
|
||||
else:
|
||||
documents = Document.objects.filter(
|
||||
id__in=permitted_document_ids(request.user),
|
||||
|
||||
@@ -2,7 +2,7 @@ msgid ""
|
||||
msgstr ""
|
||||
"Project-Id-Version: paperless-ngx\n"
|
||||
"Report-Msgid-Bugs-To: \n"
|
||||
"POT-Creation-Date: 2026-08-07 20:00+0000\n"
|
||||
"POT-Creation-Date: 2026-08-10 02:25+0000\n"
|
||||
"PO-Revision-Date: 2022-02-17 04:17\n"
|
||||
"Last-Translator: \n"
|
||||
"Language-Team: English\n"
|
||||
@@ -21,39 +21,39 @@ msgstr ""
|
||||
msgid "Documents"
|
||||
msgstr ""
|
||||
|
||||
#: documents/filters.py:472
|
||||
#: documents/filters.py:471
|
||||
msgid "Value must be valid JSON."
|
||||
msgstr ""
|
||||
|
||||
#: documents/filters.py:491
|
||||
#: documents/filters.py:490
|
||||
msgid "Invalid custom field query expression"
|
||||
msgstr ""
|
||||
|
||||
#: documents/filters.py:501
|
||||
#: documents/filters.py:500
|
||||
msgid "Invalid expression list. Must be nonempty."
|
||||
msgstr ""
|
||||
|
||||
#: documents/filters.py:522
|
||||
#: documents/filters.py:521
|
||||
msgid "Invalid logical operator {op!r}"
|
||||
msgstr ""
|
||||
|
||||
#: documents/filters.py:536
|
||||
#: documents/filters.py:535
|
||||
msgid "Maximum number of query conditions exceeded."
|
||||
msgstr ""
|
||||
|
||||
#: documents/filters.py:600
|
||||
#: documents/filters.py:599
|
||||
msgid "{name!r} is not a valid custom field."
|
||||
msgstr ""
|
||||
|
||||
#: documents/filters.py:637
|
||||
#: documents/filters.py:636
|
||||
msgid "{data_type} does not support query expr {expr!r}."
|
||||
msgstr ""
|
||||
|
||||
#: documents/filters.py:756 documents/models.py:136
|
||||
#: documents/filters.py:755 documents/models.py:136
|
||||
msgid "Maximum nesting depth exceeded."
|
||||
msgstr ""
|
||||
|
||||
#: documents/filters.py:1098
|
||||
#: documents/filters.py:1079
|
||||
msgid "Custom field not found"
|
||||
msgstr ""
|
||||
|
||||
@@ -1352,7 +1352,7 @@ msgid "workflow runs"
|
||||
msgstr ""
|
||||
|
||||
#: documents/serialisers.py:521 documents/serialisers.py:873
|
||||
#: documents/serialisers.py:2767 documents/views.py:300 documents/views.py:2556
|
||||
#: documents/serialisers.py:2767 documents/views.py:299 documents/views.py:2555
|
||||
#: paperless_mail/serialisers.py:155
|
||||
msgid "Insufficient permissions."
|
||||
msgstr ""
|
||||
@@ -1393,7 +1393,7 @@ msgstr ""
|
||||
msgid "Duplicate document identifiers are not allowed."
|
||||
msgstr ""
|
||||
|
||||
#: documents/serialisers.py:2853 documents/views.py:4510
|
||||
#: documents/serialisers.py:2853 documents/views.py:4509
|
||||
#, python-format
|
||||
msgid "Documents not found: %(ids)s"
|
||||
msgstr ""
|
||||
@@ -1661,36 +1661,36 @@ msgstr ""
|
||||
msgid "Unable to parse URI {value}"
|
||||
msgstr ""
|
||||
|
||||
#: documents/views.py:293 documents/views.py:2553
|
||||
#: documents/views.py:292 documents/views.py:2552
|
||||
msgid "Invalid more_like_id"
|
||||
msgstr ""
|
||||
|
||||
#: documents/views.py:1567
|
||||
#: documents/views.py:1566
|
||||
msgid "Invalid AI configuration."
|
||||
msgstr ""
|
||||
|
||||
#: documents/views.py:1576
|
||||
#: documents/views.py:1575
|
||||
msgid "AI backend request timed out."
|
||||
msgstr ""
|
||||
|
||||
#: documents/views.py:2378 documents/views.py:2699
|
||||
#: documents/views.py:2377 documents/views.py:2698
|
||||
msgid "Specify only one of text, title_search, query, or more_like_id."
|
||||
msgstr ""
|
||||
|
||||
#: documents/views.py:4523
|
||||
#: documents/views.py:4522
|
||||
#, python-format
|
||||
msgid "Insufficient permissions to share document %(id)s."
|
||||
msgstr ""
|
||||
|
||||
#: documents/views.py:4569
|
||||
#: documents/views.py:4568
|
||||
msgid "Bundle is already being processed."
|
||||
msgstr ""
|
||||
|
||||
#: documents/views.py:4630
|
||||
#: documents/views.py:4629
|
||||
msgid "The share link bundle is still being prepared. Please try again later."
|
||||
msgstr ""
|
||||
|
||||
#: documents/views.py:4640
|
||||
#: documents/views.py:4639
|
||||
msgid "The share link bundle is unavailable."
|
||||
msgstr ""
|
||||
|
||||
|
||||
@@ -19,7 +19,10 @@ class AutoLoginMiddleware(MiddlewareMixin):
|
||||
if request.path.startswith("/api/token/") and request.method == "POST":
|
||||
return None
|
||||
try:
|
||||
request.user = User.objects.get(username=settings.AUTO_LOGIN_USERNAME)
|
||||
request.user = User.objects.get(
|
||||
username=settings.AUTO_LOGIN_USERNAME,
|
||||
is_active=True,
|
||||
)
|
||||
auth.login(
|
||||
request=request,
|
||||
user=request.user,
|
||||
|
||||
@@ -185,6 +185,30 @@ class GeneralConfig(BaseConfig):
|
||||
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
|
||||
class AIConfig(BaseConfig):
|
||||
"""
|
||||
|
||||
@@ -0,0 +1,44 @@
|
||||
# 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",
|
||||
),
|
||||
),
|
||||
]
|
||||
@@ -74,6 +74,14 @@ class ColorConvertChoices(models.TextChoices):
|
||||
CMYK = ("CMYK", _("CMYK"))
|
||||
|
||||
|
||||
class RemoteOCREngine(models.TextChoices):
|
||||
"""
|
||||
Matches to PAPERLESS_REMOTE_OCR_ENGINE
|
||||
"""
|
||||
|
||||
AZURE_AI = ("azureai", _("Azure AI Document Intelligence"))
|
||||
|
||||
|
||||
class LLMEmbeddingBackend(models.TextChoices):
|
||||
OPENAI_LIKE = ("openai-like", _("OpenAI-compatible"))
|
||||
HUGGINGFACE = ("huggingface", _("Huggingface"))
|
||||
@@ -286,6 +294,35 @@ class ApplicationConfiguration(AbstractSingletonModel):
|
||||
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
|
||||
"""
|
||||
|
||||
@@ -57,6 +57,18 @@ class RemoteEngineConfig:
|
||||
self.api_key = api_key
|
||||
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:
|
||||
"""Return True when the engine is known and fully configured."""
|
||||
return (
|
||||
@@ -138,11 +150,7 @@ class RemoteDocumentParser:
|
||||
20 when the remote engine is configured and the MIME type is
|
||||
supported, otherwise None.
|
||||
"""
|
||||
config = RemoteEngineConfig(
|
||||
engine=settings.REMOTE_OCR_ENGINE,
|
||||
api_key=settings.REMOTE_OCR_API_KEY,
|
||||
endpoint=settings.REMOTE_OCR_ENDPOINT,
|
||||
)
|
||||
config = RemoteEngineConfig.from_app_config()
|
||||
if not config.engine_is_valid():
|
||||
return None
|
||||
if mime_type not in _SUPPORTED_MIME_TYPES:
|
||||
@@ -228,11 +236,7 @@ class RemoteDocumentParser:
|
||||
Ignored — the remote engine always returns a searchable PDF,
|
||||
which is stored as the archive copy regardless of this flag.
|
||||
"""
|
||||
config = RemoteEngineConfig(
|
||||
engine=settings.REMOTE_OCR_ENGINE,
|
||||
api_key=settings.REMOTE_OCR_API_KEY,
|
||||
endpoint=settings.REMOTE_OCR_ENDPOINT,
|
||||
)
|
||||
config = RemoteEngineConfig.from_app_config()
|
||||
|
||||
if not config.engine_is_valid():
|
||||
logger.warning(
|
||||
|
||||
@@ -217,7 +217,15 @@ class ApplicationConfigurationSerializer(
|
||||
llm_api_key = ObfuscatedPasswordField(
|
||||
required=False,
|
||||
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):
|
||||
# Empty strings treated as None to avoid unexpected behavior
|
||||
@@ -229,11 +237,13 @@ class ApplicationConfigurationSerializer(
|
||||
data["language"] = None
|
||||
if "llm_output_language" in data and data["llm_output_language"] == "":
|
||||
data["llm_output_language"] = None
|
||||
if "llm_api_key" in data and data["llm_api_key"] is not None:
|
||||
if data["llm_api_key"] == "":
|
||||
data["llm_api_key"] = None
|
||||
elif len(data["llm_api_key"].replace("*", "")) == 0:
|
||||
del data["llm_api_key"]
|
||||
for field in self.OBFUSCATED_FIELDS:
|
||||
if field in data and data[field] is not None:
|
||||
if data[field] == "":
|
||||
data[field] = None
|
||||
# Not a real value, don't overwrite the stored one
|
||||
elif len(data[field].replace("*", "")) == 0:
|
||||
del data[field]
|
||||
return super().run_validation(data)
|
||||
|
||||
def update(self, instance, validated_data):
|
||||
|
||||
@@ -21,6 +21,7 @@ from unittest.mock import Mock
|
||||
import pytest
|
||||
|
||||
from documents.parsers import ParseError
|
||||
from paperless.models import ApplicationConfiguration
|
||||
from paperless.parsers import ParserContext
|
||||
from paperless.parsers import ParserProtocol
|
||||
from paperless.parsers.remote import RemoteDocumentParser
|
||||
@@ -33,6 +34,10 @@ if TYPE_CHECKING:
|
||||
from pytest_mock import MockerFixture
|
||||
|
||||
|
||||
# Remote ocr config from ApplicationConfiguration needs DB access
|
||||
pytestmark = pytest.mark.django_db
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Module-local fixtures
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -227,6 +232,18 @@ class TestRemoteParserScore:
|
||||
score = RemoteDocumentParser.score("application/pdf", "doc.pdf")
|
||||
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
|
||||
|
||||
@@ -1277,6 +1277,8 @@ class TestParserFileTypes:
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
# Remote ocr config from ApplicationConfiguration needs DB access
|
||||
@pytest.mark.django_db
|
||||
class TestRasterisedDocumentParserRegistry:
|
||||
def test_registered_in_defaults(self) -> None:
|
||||
from paperless.parsers.registry import ParserRegistry
|
||||
|
||||
@@ -0,0 +1,53 @@
|
||||
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)
|
||||
@@ -0,0 +1,88 @@
|
||||
"""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
|
||||
@@ -2,8 +2,6 @@ import json
|
||||
import logging
|
||||
import sys
|
||||
|
||||
from django.db.models import QuerySet
|
||||
|
||||
from documents.models import Document
|
||||
from paperless.config import AIConfig
|
||||
from paperless_ai.client import AIClient
|
||||
@@ -84,21 +82,10 @@ def _build_document_reference(
|
||||
|
||||
|
||||
def _get_document_references(
|
||||
documents: QuerySet[Document],
|
||||
documents: list[Document],
|
||||
top_nodes: list,
|
||||
) -> list[dict[str, int | str]]:
|
||||
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)}
|
||||
|
||||
allowed_documents = {doc.pk: doc for doc in documents}
|
||||
references: list[dict[str, int | str]] = []
|
||||
seen_document_ids: set[int] = set()
|
||||
|
||||
@@ -132,7 +119,7 @@ def _format_chat_metadata_trailer(references: list[dict[str, int | str]]) -> str
|
||||
|
||||
def stream_chat_with_documents(
|
||||
query_str: str,
|
||||
documents: QuerySet[Document],
|
||||
documents: list[Document],
|
||||
output_language: str | None = None,
|
||||
):
|
||||
try:
|
||||
@@ -148,10 +135,10 @@ def stream_chat_with_documents(
|
||||
|
||||
def _stream_chat_with_documents(
|
||||
query_str: str,
|
||||
documents: QuerySet[Document],
|
||||
documents: list[Document],
|
||||
output_language: str | None = None,
|
||||
):
|
||||
if not documents.exists():
|
||||
if not documents:
|
||||
yield CHAT_NO_CONTENT_MESSAGE
|
||||
return
|
||||
|
||||
@@ -161,9 +148,7 @@ def _stream_chat_with_documents(
|
||||
from llama_index.core.retrievers import VectorIndexRetriever
|
||||
|
||||
config = AIConfig()
|
||||
filters = _document_id_filters(
|
||||
str(pk) for pk in documents.values_list("pk", flat=True)
|
||||
)
|
||||
filters = _document_id_filters(str(doc.pk) for doc in documents)
|
||||
|
||||
# Hold the shared read lock for the whole operation: the query engine
|
||||
# retrieves from the vector store again during synthesis, so the connection
|
||||
|
||||
@@ -3,12 +3,10 @@ from unittest.mock import MagicMock
|
||||
from unittest.mock import patch
|
||||
|
||||
import pytest
|
||||
from django.db.models.signals import post_init
|
||||
from llama_index.core import settings as llama_settings
|
||||
from llama_index.core.embeddings.mock_embed_model import MockEmbedding
|
||||
from llama_index.core.schema import TextNode
|
||||
|
||||
from documents.models import Document
|
||||
from documents.tests.factories import DocumentFactory
|
||||
from paperless_ai import chat
|
||||
from paperless_ai import indexing
|
||||
@@ -38,6 +36,16 @@ def patch_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(
|
||||
output: list[str],
|
||||
*,
|
||||
@@ -53,13 +61,6 @@ 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(
|
||||
("output_language", "expected_language_line"),
|
||||
[
|
||||
@@ -106,10 +107,9 @@ def test_build_refine_prompt(
|
||||
|
||||
@pytest.mark.django_db
|
||||
def test_stream_chat_with_one_document_retrieval(
|
||||
mock_document,
|
||||
patch_embed_nodes,
|
||||
) -> None:
|
||||
document = DocumentFactory.create(title="Test Document", content="ignored")
|
||||
documents = Document.objects.filter(pk=document.pk)
|
||||
with (
|
||||
patch("paperless_ai.chat.AIClient") as mock_client_cls,
|
||||
patch("paperless_ai.chat.load_or_build_index") as mock_load_index,
|
||||
@@ -124,19 +124,22 @@ def test_stream_chat_with_one_document_retrieval(
|
||||
mock_client_cls.return_value = mock_client
|
||||
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.vector_store.get_nodes.return_value = [
|
||||
TextNode(
|
||||
text="This is node content.",
|
||||
metadata={"document_id": str(document.pk), "title": "Test Document"},
|
||||
),
|
||||
]
|
||||
# Simulate get_nodes returning nodes (content exists)
|
||||
mock_index.vector_store.get_nodes.return_value = [mock_node]
|
||||
mock_load_index.return_value = mock_index
|
||||
|
||||
mock_retriever_instance = MagicMock()
|
||||
mock_retriever_instance.retrieve.return_value = [
|
||||
MagicMock(
|
||||
metadata={"document_id": str(document.pk), "title": "Test Document"},
|
||||
metadata={
|
||||
"document_id": str(mock_document.pk),
|
||||
"title": "Test Document",
|
||||
},
|
||||
),
|
||||
]
|
||||
|
||||
@@ -150,7 +153,7 @@ def test_stream_chat_with_one_document_retrieval(
|
||||
"llama_index.core.retrievers.VectorIndexRetriever",
|
||||
return_value=mock_retriever_instance,
|
||||
):
|
||||
output = list(stream_chat_with_documents("What is this?", documents))
|
||||
output = list(stream_chat_with_documents("What is this?", [mock_document]))
|
||||
|
||||
mock_query_engine.query.assert_called_once_with("What is this?")
|
||||
synthesizer_kwargs = mock_get_response_synthesizer.call_args.kwargs
|
||||
@@ -163,16 +166,13 @@ def test_stream_chat_with_one_document_retrieval(
|
||||
output,
|
||||
expected_chunks=["chunk1", "chunk2"],
|
||||
expected_references=[
|
||||
{"id": document.pk, "title": "Test Document"},
|
||||
{"id": mock_document.pk, "title": "Test Document"},
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
@pytest.mark.django_db
|
||||
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 (
|
||||
patch("paperless_ai.chat.AIClient") as mock_client_cls,
|
||||
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.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.vector_store.get_nodes.return_value = [
|
||||
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"},
|
||||
),
|
||||
]
|
||||
# Simulate get_nodes returning nodes (content exists)
|
||||
mock_index.vector_store.get_nodes.return_value = [mock_node1, mock_node2]
|
||||
mock_load_index.return_value = mock_index
|
||||
|
||||
mock_retriever_instance = MagicMock()
|
||||
mock_retriever_instance.retrieve.return_value = [
|
||||
MagicMock(metadata={"document_id": str(doc1.pk), "title": "Document 1"}),
|
||||
MagicMock(metadata={"document_id": str(doc2.pk), "title": "Document 2"}),
|
||||
MagicMock(metadata={"document_id": "1", "title": "Document 1"}),
|
||||
MagicMock(metadata={"document_id": "2", "title": "Document 2"}),
|
||||
]
|
||||
|
||||
mock_response_stream = MagicMock()
|
||||
@@ -210,11 +210,14 @@ def test_stream_chat_with_multiple_documents_retrieval(patch_embed_nodes) -> Non
|
||||
mock_query_engine_cls.return_value = mock_query_engine
|
||||
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(
|
||||
"llama_index.core.retrievers.VectorIndexRetriever",
|
||||
return_value=mock_retriever_instance,
|
||||
):
|
||||
output = list(stream_chat_with_documents("What's up?", documents))
|
||||
output = list(stream_chat_with_documents("What's up?", [doc1, doc2]))
|
||||
|
||||
mock_query_engine.query.assert_called_once_with("What's up?")
|
||||
patch_embed_nodes.assert_not_called()
|
||||
@@ -222,15 +225,15 @@ def test_stream_chat_with_multiple_documents_retrieval(patch_embed_nodes) -> Non
|
||||
output,
|
||||
expected_chunks=["chunk1", "chunk2"],
|
||||
expected_references=[
|
||||
{"id": doc1.pk, "title": "Document 1"},
|
||||
{"id": doc2.pk, "title": "Document 2"},
|
||||
{"id": 1, "title": "Document 1"},
|
||||
{"id": 2, "title": "Document 2"},
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
def test_stream_chat_empty_document_list() -> None:
|
||||
with patch("paperless_ai.chat.load_or_build_index") as mock_load_index:
|
||||
output = list(stream_chat_with_documents("Any info?", Document.objects.none()))
|
||||
output = list(stream_chat_with_documents("Any info?", []))
|
||||
mock_load_index.assert_not_called()
|
||||
assert output == ["Sorry, I couldn't find any content to answer your question."]
|
||||
|
||||
@@ -250,9 +253,7 @@ def test_stream_chat_no_matching_nodes() -> None:
|
||||
mock_index.vector_store.get_nodes.return_value = []
|
||||
mock_load_index.return_value = mock_index
|
||||
|
||||
output = list(
|
||||
stream_chat_with_documents("Any info?", _fake_documents_queryset([1])),
|
||||
)
|
||||
output = list(stream_chat_with_documents("Any info?", [MagicMock(pk=1)]))
|
||||
|
||||
assert output == ["Sorry, I couldn't find any content to answer your question."]
|
||||
|
||||
@@ -281,9 +282,7 @@ def test_stream_chat_unexpected_failure_returns_generic_error(caplog) -> None:
|
||||
)
|
||||
mock_retriever_cls.return_value = mock_retriever
|
||||
|
||||
output = list(
|
||||
stream_chat_with_documents("Any info?", _fake_documents_queryset([1])),
|
||||
)
|
||||
output = list(stream_chat_with_documents("Any info?", [MagicMock(pk=1)]))
|
||||
|
||||
assert output == [CHAT_ERROR_MESSAGE]
|
||||
assert "Failed to stream document chat response" in caplog.text
|
||||
@@ -299,12 +298,7 @@ class TestStreamChatRetrieval:
|
||||
) -> None:
|
||||
doc = DocumentFactory.create(content="hello world")
|
||||
# Nothing indexed for this document yet.
|
||||
out = list(
|
||||
chat.stream_chat_with_documents(
|
||||
"question?",
|
||||
Document.objects.filter(pk=doc.pk),
|
||||
),
|
||||
)
|
||||
out = list(chat.stream_chat_with_documents("question?", [doc]))
|
||||
assert chat.CHAT_NO_CONTENT_MESSAGE in out
|
||||
|
||||
def test_chat_filter_contains_only_requested_document_ids(
|
||||
@@ -338,12 +332,7 @@ class TestStreamChatRetrieval:
|
||||
side_effect=capture_retriever,
|
||||
)
|
||||
|
||||
list(
|
||||
chat.stream_chat_with_documents(
|
||||
"question?",
|
||||
Document.objects.filter(pk=included.pk),
|
||||
),
|
||||
)
|
||||
list(chat.stream_chat_with_documents("question?", [included]))
|
||||
|
||||
assert captured_filters, "VectorIndexRetriever was never constructed"
|
||||
filt = captured_filters[0]
|
||||
@@ -351,47 +340,3 @@ class TestStreamChatRetrieval:
|
||||
filter_values = filt.filters[0].value
|
||||
assert str(included.pk) 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"}]
|
||||
|
||||
@@ -757,3 +757,30 @@ class TestAPIProcessedMails(DirectoriesMixin, APITestCase):
|
||||
format="json",
|
||||
)
|
||||
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())
|
||||
|
||||
@@ -27,6 +27,7 @@ from documents.filters import PermittedObjectsFilter
|
||||
from documents.models import PaperlessTask
|
||||
from documents.permissions import PaperlessObjectPermissions
|
||||
from documents.permissions import has_perms_owner_aware
|
||||
from documents.permissions import permitted_object_ids
|
||||
from documents.views import PassUserMixin
|
||||
from paperless.views import StandardPagination
|
||||
from paperless_mail.filters import ProcessedMailFilterSet
|
||||
@@ -211,10 +212,17 @@ class ProcessedMailViewSet(PassUserMixin, ReadOnlyModelViewSet[ProcessedMail]):
|
||||
):
|
||||
return HttpResponseBadRequest("mail_ids must be a list of integers")
|
||||
mails = ProcessedMail.objects.filter(id__in=mail_ids)
|
||||
for mail in mails:
|
||||
if not has_perms_owner_aware(request.user, "delete_processedmail", mail):
|
||||
return HttpResponseForbidden("Insufficient permissions")
|
||||
mail.delete()
|
||||
# Check every id up front so an unpermitted one rejects the whole
|
||||
# request rather than deleting the mails ahead of it first.
|
||||
if mails.exclude(
|
||||
pk__in=permitted_object_ids(
|
||||
request.user,
|
||||
ProcessedMail,
|
||||
"delete_processedmail",
|
||||
),
|
||||
).exists():
|
||||
return HttpResponseForbidden("Insufficient permissions")
|
||||
mails.delete()
|
||||
return Response({"result": "OK", "deleted_mail_ids": mail_ids})
|
||||
|
||||
|
||||
|
||||
@@ -1298,16 +1298,16 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "fpdf2"
|
||||
version = "2.8.7"
|
||||
version = "2.8.8"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "defusedxml", 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'" },
|
||||
]
|
||||
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" }
|
||||
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" }
|
||||
wheels = [
|
||||
{ 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" },
|
||||
{ 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" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -2927,8 +2927,8 @@ dependencies = [
|
||||
{ name = "sqlite-vec", 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 = "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 = "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+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(python_full_version >= '3.15' and 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 = "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 = "scikit-learn", 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 = "sys_platform == 'darwin'" },
|
||||
{ name = "torch", version = "2.13.0+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "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+cpu", source = { registry = "https://download.pytorch.org/whl/cpu" }, marker = "(python_full_version >= '3.15' and 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 = "typing-extensions", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
|
||||
@@ -4957,18 +4957,17 @@ name = "torch"
|
||||
version = "2.13.0"
|
||||
source = { registry = "https://download.pytorch.org/whl/cpu" }
|
||||
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 sys_platform == 'darwin'",
|
||||
]
|
||||
dependencies = [
|
||||
{ name = "filelock", marker = "sys_platform == 'darwin'" },
|
||||
{ name = "fsspec", marker = "sys_platform == 'darwin'" },
|
||||
{ name = "jinja2", marker = "sys_platform == 'darwin'" },
|
||||
{ name = "networkx", marker = "sys_platform == 'darwin'" },
|
||||
{ name = "setuptools", marker = "sys_platform == 'darwin'" },
|
||||
{ name = "sympy", marker = "sys_platform == 'darwin'" },
|
||||
{ name = "typing-extensions", marker = "sys_platform == 'darwin'" },
|
||||
{ name = "filelock", marker = "python_full_version < '3.15' and sys_platform == 'darwin'" },
|
||||
{ name = "fsspec", marker = "python_full_version < '3.15' and sys_platform == 'darwin'" },
|
||||
{ name = "jinja2", marker = "python_full_version < '3.15' and sys_platform == 'darwin'" },
|
||||
{ name = "networkx", marker = "python_full_version < '3.15' and sys_platform == 'darwin'" },
|
||||
{ name = "setuptools", marker = "python_full_version < '3.15' and sys_platform == 'darwin'" },
|
||||
{ name = "sympy", marker = "python_full_version < '3.15' and sys_platform == 'darwin'" },
|
||||
{ name = "typing-extensions", marker = "python_full_version < '3.15' and sys_platform == 'darwin'" },
|
||||
]
|
||||
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" },
|
||||
@@ -4983,6 +4982,7 @@ name = "torch"
|
||||
version = "2.13.0+cpu"
|
||||
source = { registry = "https://download.pytorch.org/whl/cpu" }
|
||||
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 == 'aarch64' 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'",
|
||||
]
|
||||
dependencies = [
|
||||
{ name = "filelock", marker = "sys_platform == 'linux'" },
|
||||
{ name = "fsspec", marker = "sys_platform == 'linux'" },
|
||||
{ name = "jinja2", marker = "sys_platform == 'linux'" },
|
||||
{ name = "networkx", marker = "sys_platform == 'linux'" },
|
||||
{ name = "setuptools", marker = "sys_platform == 'linux'" },
|
||||
{ name = "sympy", marker = "sys_platform == 'linux'" },
|
||||
{ name = "typing-extensions", marker = "sys_platform == 'linux'" },
|
||||
{ name = "filelock", marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" },
|
||||
{ name = "fsspec", marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" },
|
||||
{ name = "jinja2", marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" },
|
||||
{ name = "networkx", marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" },
|
||||
{ name = "setuptools", marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" },
|
||||
{ name = "sympy", marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" },
|
||||
{ name = "typing-extensions", marker = "(python_full_version >= '3.15' and sys_platform == 'darwin') or sys_platform == 'linux'" },
|
||||
]
|
||||
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" },
|
||||
|
||||
Reference in New Issue
Block a user