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https://github.com/paperless-ngx/paperless-ngx.git
synced 2026-08-30 22:47:15 +00:00
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| Author | SHA1 | Date | |
|---|---|---|---|
 Trenton Holmes
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<source>GitHub</source>
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<context context-type="linenumber">337</context>
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<source>is available.</source>
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<source>Click to view.</source>
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<trans-unit id="9811291095862612" datatype="html">
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<source>Paperless-ngx can automatically check for updates</source>
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<context context-type="linenumber">351</context>
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<source> How does this work? </source>
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<context context-type="linenumber">359</context>
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<source>Update available</source>
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<context context-type="linenumber">370</context>
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<context context-type="linenumber">371</context>
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<source>Configure update checking</source>
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<context context-type="linenumber">376</context>
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<trans-unit id="1542489069631984294" datatype="html">
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@@ -3714,22 +3714,22 @@
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<source>Successfully updated object.</source>
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<context context-type="linenumber">213</context>
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<source>Error occurred saving object.</source>
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<context context-type="linenumber">216</context>
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<context-group purpose="location">
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<context context-type="linenumber">254</context>
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<context context-type="linenumber">260</context>
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<context context-type="linenumber">364,365</context>
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<context context-type="linenumber">167</context>
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<context context-type="linenumber">120</context>
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<trans-unit id="5700628356844396417" datatype="html">
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<context context-type="linenumber">53</context>
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<source>Environment</source>
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<source>Details</source>
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<source>Date created</source>
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<context context-type="linenumber">171</context>
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<context context-type="linenumber">175</context>
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<source>Default</source>
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<context context-type="linenumber">183</context>
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<context context-type="linenumber">187</context>
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<context-group purpose="location">
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<context context-type="sourcefile">src/app/components/manage/saved-views/saved-views.component.html</context>
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||||
<source>Content</source>
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<context context-type="linenumber">290,291</context>
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<context context-type="linenumber">294,295</context>
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<source>Metadata</source>
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<context context-type="linenumber">299,300</context>
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<context context-type="linenumber">303,304</context>
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<context context-type="sourcefile">src/app/components/document-detail/metadata-collapse/metadata-collapse.component.ts</context>
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@@ -8357,147 +8364,147 @@
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<source>Date modified</source>
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<context context-type="linenumber">306,307</context>
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<context context-type="linenumber">310,311</context>
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<context context-type="linenumber">310,311</context>
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<context context-type="linenumber">314,315</context>
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<trans-unit id="146828917013192897" datatype="html">
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<source>Media filename</source>
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<context context-type="sourcefile">src/app/components/document-detail/document-detail.component.html</context>
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<context context-type="linenumber">314,315</context>
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<context context-type="linenumber">318,319</context>
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<source>Original filename</source>
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<context context-type="linenumber">318,319</context>
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<context context-type="linenumber">322,323</context>
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<trans-unit id="2659735245739197634" datatype="html">
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<source>Original SHA256 checksum</source>
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<context context-type="linenumber">322,323</context>
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<context context-type="linenumber">326,327</context>
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<source>Original file size</source>
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<context context-type="linenumber">326,327</context>
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<context context-type="linenumber">330,331</context>
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<trans-unit id="2696647325713149563" datatype="html">
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<source>Original mime type</source>
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<context context-type="linenumber">330,331</context>
|
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<context context-type="linenumber">334,335</context>
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<trans-unit id="6714358112223607756" datatype="html">
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<source>Archive SHA256 checksum</source>
|
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<context-group purpose="location">
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<context context-type="sourcefile">src/app/components/document-detail/document-detail.component.html</context>
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<context context-type="linenumber">335,336</context>
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<context context-type="linenumber">339,340</context>
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<source>Archive file size</source>
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<context context-type="linenumber">341,342</context>
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<context context-type="linenumber">345,346</context>
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<trans-unit id="6992781481378431874" datatype="html">
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<source>Original document metadata</source>
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<context context-type="linenumber">350</context>
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<context context-type="linenumber">354</context>
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<trans-unit id="2846565152091361585" datatype="html">
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<source>Archived document metadata</source>
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<context context-type="linenumber">353</context>
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<context context-type="linenumber">357</context>
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<trans-unit id="7206723502037428235" datatype="html">
|
||||
<source>Notes <x id="START_BLOCK_IF" equiv-text="@if (document()?.notes.length) {"/><x id="START_TAG_SPAN" ctype="x-span" equiv-text="<span class="badge text-bg-secondary ms-1">"/><x id="INTERPOLATION" equiv-text="{{document().notes.length}}"/><x id="CLOSE_TAG_SPAN" ctype="x-span" equiv-text="</span>"/><x id="CLOSE_BLOCK_IF" equiv-text="}"/></source>
|
||||
<context-group purpose="location">
|
||||
<context context-type="sourcefile">src/app/components/document-detail/document-detail.component.html</context>
|
||||
<context context-type="linenumber">372,375</context>
|
||||
<context context-type="linenumber">376,379</context>
|
||||
</context-group>
|
||||
</trans-unit>
|
||||
<trans-unit id="186236568870281953" datatype="html">
|
||||
<source>History</source>
|
||||
<context-group purpose="location">
|
||||
<context context-type="sourcefile">src/app/components/document-detail/document-detail.component.html</context>
|
||||
<context context-type="linenumber">383,384</context>
|
||||
<context context-type="linenumber">387,388</context>
|
||||
</context-group>
|
||||
</trans-unit>
|
||||
<trans-unit id="8236092845697214347" datatype="html">
|
||||
<source> Duplicates <x id="START_TAG_SPAN" ctype="x-span" equiv-text="<span class="badge text-bg-secondary ms-1">"/><x id="INTERPOLATION" equiv-text="{{ document().duplicate_documents.length }}"/><x id="CLOSE_TAG_SPAN" ctype="x-span" equiv-text="</span>"/></source>
|
||||
<context-group purpose="location">
|
||||
<context context-type="sourcefile">src/app/components/document-detail/document-detail.component.html</context>
|
||||
<context context-type="linenumber">406,409</context>
|
||||
<context context-type="linenumber">410,413</context>
|
||||
</context-group>
|
||||
</trans-unit>
|
||||
<trans-unit id="6449374629822973702" datatype="html">
|
||||
<source>Duplicate documents detected:</source>
|
||||
<context-group purpose="location">
|
||||
<context context-type="sourcefile">src/app/components/document-detail/document-detail.component.html</context>
|
||||
<context context-type="linenumber">411,412</context>
|
||||
<context context-type="linenumber">415,416</context>
|
||||
</context-group>
|
||||
</trans-unit>
|
||||
<trans-unit id="14058600336670816" datatype="html">
|
||||
<source>In trash</source>
|
||||
<context-group purpose="location">
|
||||
<context context-type="sourcefile">src/app/components/document-detail/document-detail.component.html</context>
|
||||
<context context-type="linenumber">422,423</context>
|
||||
<context context-type="linenumber">426,427</context>
|
||||
</context-group>
|
||||
</trans-unit>
|
||||
<trans-unit id="5129524307369213584" datatype="html">
|
||||
<source>Save & next</source>
|
||||
<context-group purpose="location">
|
||||
<context context-type="sourcefile">src/app/components/document-detail/document-detail.component.html</context>
|
||||
<context context-type="linenumber">451</context>
|
||||
<context context-type="linenumber">455</context>
|
||||
</context-group>
|
||||
</trans-unit>
|
||||
<trans-unit id="4910102545766233758" datatype="html">
|
||||
<source>Save & close</source>
|
||||
<context-group purpose="location">
|
||||
<context context-type="sourcefile">src/app/components/document-detail/document-detail.component.html</context>
|
||||
<context context-type="linenumber">453</context>
|
||||
<context context-type="linenumber">457</context>
|
||||
</context-group>
|
||||
</trans-unit>
|
||||
<trans-unit id="3823219296477075982" datatype="html">
|
||||
<source>Discard</source>
|
||||
<context-group purpose="location">
|
||||
<context context-type="sourcefile">src/app/components/document-detail/document-detail.component.html</context>
|
||||
<context context-type="linenumber">455,456</context>
|
||||
<context context-type="linenumber">459,460</context>
|
||||
</context-group>
|
||||
</trans-unit>
|
||||
<trans-unit id="1309556917227148591" datatype="html">
|
||||
<source>Document loading...</source>
|
||||
<context-group purpose="location">
|
||||
<context context-type="sourcefile">src/app/components/document-detail/document-detail.component.html</context>
|
||||
<context context-type="linenumber">463</context>
|
||||
<context context-type="linenumber">467</context>
|
||||
</context-group>
|
||||
</trans-unit>
|
||||
<trans-unit id="8191371354890763172" datatype="html">
|
||||
<source>Enter Password</source>
|
||||
<context-group purpose="location">
|
||||
<context context-type="sourcefile">src/app/components/document-detail/document-detail.component.html</context>
|
||||
<context context-type="linenumber">517</context>
|
||||
<context context-type="linenumber">521</context>
|
||||
</context-group>
|
||||
</trans-unit>
|
||||
<trans-unit id="5758784066858623886" datatype="html">
|
||||
|
||||
@@ -73,7 +73,7 @@
|
||||
<div class="container-fluid">
|
||||
<div class="row">
|
||||
<nav id="sidebarMenu" class="d-md-block bg-light sidebar collapse"
|
||||
[ngClass]="slimSidebarEnabled ? 'slim' : 'col-md-3 col-lg-2 col-xxxl-1'" [class.animating]="slimSidebarAnimating()"
|
||||
[ngClass]="slimSidebarEnabled ? 'slim' : 'expanded'" [class.animating]="slimSidebarAnimating()"
|
||||
[ngbCollapse]="isMenuCollapsed()">
|
||||
@if (canSaveSettings) {
|
||||
<button class="btn btn-sm btn-dark sidebar-slim-toggler" (click)="toggleSlimSidebar()" [aria-label]="slimSidebarEnabled ? 'Expand sidebar' : 'Collapse sidebar'" i18n-aria-label>
|
||||
@@ -90,7 +90,7 @@
|
||||
<a class="nav-link" routerLink="dashboard" routerLinkActive="active" (click)="closeMenu()"
|
||||
ngbPopover="Dashboard" i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end"
|
||||
container="body" triggers="mouseenter:mouseleave" popoverClass="popover-slim">
|
||||
<i-bs class="me-2" name="house"></i-bs><span><ng-container i18n>Dashboard</ng-container></span>
|
||||
<i-bs class="me-2" name="house"></i-bs><span class="nav-link-label"><ng-container i18n>Dashboard</ng-container></span>
|
||||
</a>
|
||||
</li>
|
||||
<li class="nav-item app-link" *pngxIfPermissions="{ action: PermissionAction.View, type: PermissionType.Document }">
|
||||
@@ -99,7 +99,7 @@
|
||||
(click)="closeMenu()"
|
||||
ngbPopover="Documents" i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end"
|
||||
container="body" triggers="mouseenter:mouseleave" popoverClass="popover-slim">
|
||||
<i-bs class="me-2" name="files"></i-bs><span><ng-container i18n>Documents</ng-container></span>
|
||||
<i-bs class="me-2" name="files"></i-bs><span class="nav-link-label"><ng-container i18n>Documents</ng-container></span>
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
@@ -170,7 +170,7 @@
|
||||
[class.text-truncate]="!slimSidebarEnabled" (click)="closeAll()"
|
||||
ngbPopover="Close all" i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end"
|
||||
container="body" triggers="mouseenter:mouseleave" popoverClass="popover-slim">
|
||||
<i-bs class="me-2" name="x"></i-bs><span><ng-container i18n>Close all</ng-container></span>
|
||||
<i-bs class="me-2" name="x"></i-bs><span class="nav-link-label"><ng-container i18n>Close all</ng-container></span>
|
||||
</button>
|
||||
</li>
|
||||
}
|
||||
@@ -189,7 +189,7 @@
|
||||
[routerLinkActiveOptions]="{ exact: !(slimSidebarEnabled || attributesSectionsCollapsed) }" (click)="closeMenu()"
|
||||
ngbPopover="Attributes" i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end"
|
||||
container="body" triggers="mouseenter:mouseleave" popoverClass="popover-slim">
|
||||
<i-bs name="stack"></i-bs><span class="ms-2"><ng-container i18n>Attributes</ng-container></span>
|
||||
<i-bs name="stack"></i-bs><span class="nav-link-label ms-2"><ng-container i18n>Attributes</ng-container></span>
|
||||
</a>
|
||||
@if (!slimSidebarEnabled && canSaveSettings) {
|
||||
<button
|
||||
@@ -210,27 +210,27 @@
|
||||
<ul class="nav flex-column">
|
||||
<li class="nav-item app-link" *pngxIfPermissions="{ action: PermissionAction.View, type: PermissionType.Tag }">
|
||||
<a class="nav-link" routerLink="attributes/tags" routerLinkActive="active" (click)="closeMenu()">
|
||||
<i-bs class="me-2" name="tags"></i-bs><span><ng-container i18n>Tags</ng-container></span>
|
||||
<i-bs class="me-2" name="tags"></i-bs><span class="nav-link-label"><ng-container i18n>Tags</ng-container></span>
|
||||
</a>
|
||||
</li>
|
||||
<li class="nav-item app-link" *pngxIfPermissions="{ action: PermissionAction.View, type: PermissionType.Correspondent }">
|
||||
<a class="nav-link" routerLink="attributes/correspondents" routerLinkActive="active" (click)="closeMenu()">
|
||||
<i-bs class="me-2" name="person"></i-bs><span><ng-container i18n>Correspondents</ng-container></span>
|
||||
<i-bs class="me-2" name="person"></i-bs><span class="nav-link-label"><ng-container i18n>Correspondents</ng-container></span>
|
||||
</a>
|
||||
</li>
|
||||
<li class="nav-item app-link" *pngxIfPermissions="{ action: PermissionAction.View, type: PermissionType.DocumentType }">
|
||||
<a class="nav-link" routerLink="attributes/documenttypes" routerLinkActive="active" (click)="closeMenu()">
|
||||
<i-bs class="me-2" name="hash"></i-bs><span><ng-container i18n>Document types</ng-container></span>
|
||||
<i-bs class="me-2" name="hash"></i-bs><span class="nav-link-label"><ng-container i18n>Document types</ng-container></span>
|
||||
</a>
|
||||
</li>
|
||||
<li class="nav-item app-link" *pngxIfPermissions="{ action: PermissionAction.View, type: PermissionType.StoragePath }">
|
||||
<a class="nav-link" routerLink="attributes/storagepaths" routerLinkActive="active" (click)="closeMenu()">
|
||||
<i-bs class="me-2" name="folder"></i-bs><span><ng-container i18n>Storage paths</ng-container></span>
|
||||
<i-bs class="me-2" name="folder"></i-bs><span class="nav-link-label"><ng-container i18n>Storage paths</ng-container></span>
|
||||
</a>
|
||||
</li>
|
||||
<li class="nav-item app-link" *pngxIfPermissions="{ action: PermissionAction.View, type: PermissionType.CustomField }">
|
||||
<a class="nav-link" routerLink="attributes/customfields" routerLinkActive="active" (click)="closeMenu()">
|
||||
<i-bs class="me-2" name="ui-radios"></i-bs><span><ng-container i18n>Custom fields</ng-container></span>
|
||||
<i-bs class="me-2" name="ui-radios"></i-bs><span class="nav-link-label"><ng-container i18n>Custom fields</ng-container></span>
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
@@ -241,7 +241,7 @@
|
||||
<a class="nav-link" routerLink="savedviews" routerLinkActive="active" (click)="closeMenu()"
|
||||
ngbPopover="Saved Views" i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end"
|
||||
container="body" triggers="mouseenter:mouseleave" popoverClass="popover-slim">
|
||||
<i-bs class="me-2" name="window-stack"></i-bs><span><ng-container i18n>Saved Views</ng-container></span>
|
||||
<i-bs class="me-2" name="window-stack"></i-bs><span class="nav-link-label"><ng-container i18n>Saved Views</ng-container></span>
|
||||
</a>
|
||||
</li>
|
||||
<li class="nav-item app-link"
|
||||
@@ -250,7 +250,7 @@
|
||||
<a class="nav-link" routerLink="workflows" routerLinkActive="active" (click)="closeMenu()"
|
||||
ngbPopover="Workflows" i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end"
|
||||
container="body" triggers="mouseenter:mouseleave" popoverClass="popover-slim">
|
||||
<i-bs class="me-2" name="boxes"></i-bs><span><ng-container i18n>Workflows</ng-container></span>
|
||||
<i-bs class="me-2" name="boxes"></i-bs><span class="nav-link-label"><ng-container i18n>Workflows</ng-container></span>
|
||||
</a>
|
||||
</li>
|
||||
<li class="nav-item app-link" *pngxIfPermissions="{ action: PermissionAction.View, type: PermissionType.MailAccount }"
|
||||
@@ -258,14 +258,14 @@
|
||||
<a class="nav-link" routerLink="mail" routerLinkActive="active" (click)="closeMenu()" ngbPopover="Mail"
|
||||
i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end" container="body"
|
||||
triggers="mouseenter:mouseleave" popoverClass="popover-slim">
|
||||
<i-bs class="me-2" name="envelope"></i-bs><span><ng-container i18n>Mail</ng-container></span>
|
||||
<i-bs class="me-2" name="envelope"></i-bs><span class="nav-link-label"><ng-container i18n>Mail</ng-container></span>
|
||||
</a>
|
||||
</li>
|
||||
<li class="nav-item app-link" *pngxIfPermissions="{ action: PermissionAction.Delete, type: PermissionType.Document }">
|
||||
<a class="nav-link" routerLink="trash" routerLinkActive="active" (click)="closeMenu()" ngbPopover="Trash"
|
||||
i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end" container="body"
|
||||
triggers="mouseenter:mouseleave" popoverClass="popover-slim">
|
||||
<i-bs class="me-2" name="trash"></i-bs><span><ng-container i18n>Trash</ng-container></span>
|
||||
<i-bs class="me-2" name="trash"></i-bs><span class="nav-link-label"><ng-container i18n>Trash</ng-container></span>
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
@@ -281,21 +281,21 @@
|
||||
<a class="nav-link" routerLink="settings" routerLinkActive="active" (click)="closeMenu()"
|
||||
ngbPopover="Settings" i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end"
|
||||
container="body" triggers="mouseenter:mouseleave" popoverClass="popover-slim">
|
||||
<i-bs class="me-2" name="gear"></i-bs><span><ng-container i18n>Settings</ng-container></span>
|
||||
<i-bs class="me-2" name="gear"></i-bs><span class="nav-link-label"><ng-container i18n>Settings</ng-container></span>
|
||||
</a>
|
||||
</li>
|
||||
<li class="nav-item app-link" *pngxIfPermissions="{ action: PermissionAction.Change, type: PermissionType.AppConfig }">
|
||||
<a class="nav-link" routerLink="config" routerLinkActive="active" (click)="closeMenu()"
|
||||
ngbPopover="Configuration" i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end"
|
||||
container="body" triggers="mouseenter:mouseleave" popoverClass="popover-slim">
|
||||
<i-bs class="me-2" name="sliders2-vertical"></i-bs><span><ng-container i18n>Configuration</ng-container></span>
|
||||
<i-bs class="me-2" name="sliders2-vertical"></i-bs><span class="nav-link-label"><ng-container i18n>Configuration</ng-container></span>
|
||||
</a>
|
||||
</li>
|
||||
<li class="nav-item app-link" *pngxIfPermissions="{ action: PermissionAction.View, type: PermissionType.User }">
|
||||
<a class="nav-link" routerLink="usersgroups" routerLinkActive="active" (click)="closeMenu()"
|
||||
ngbPopover="Users & Groups" i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end"
|
||||
container="body" triggers="mouseenter:mouseleave" popoverClass="popover-slim">
|
||||
<i-bs class="me-2" name="people"></i-bs><span><ng-container i18n>Users & Groups</ng-container></span>
|
||||
<i-bs class="me-2" name="people"></i-bs><span class="nav-link-label"><ng-container i18n>Users & Groups</ng-container></span>
|
||||
</a>
|
||||
</li>
|
||||
<li class="nav-item app-link"
|
||||
@@ -304,9 +304,10 @@
|
||||
<a class="nav-link" routerLink="tasks" routerLinkActive="active" (click)="closeMenu()"
|
||||
ngbPopover="Tasks" i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end"
|
||||
container="body" triggers="mouseenter:mouseleave" popoverClass="popover-slim">
|
||||
<i-bs class="me-2" name="list-task"></i-bs><span><ng-container i18n>Tasks</ng-container>@if (tasksService.needsAttentionTasks.length > 0) {
|
||||
<span><span class="badge bg-danger ms-2 d-inline">{{tasksService.needsAttentionTasks.length}}</span></span>
|
||||
}</span>
|
||||
<i-bs class="me-2" name="list-task"></i-bs><span class="nav-link-label"><ng-container i18n>Tasks</ng-container></span>
|
||||
@if (tasksService.needsAttentionTasks.length > 0 && !slimSidebarEnabled) {
|
||||
<span class="badge bg-danger ms-2 d-inline flex-shrink-0">{{tasksService.needsAttentionTasks.length}}</span>
|
||||
}
|
||||
@if (tasksService.needsAttentionTasks.length > 0 && slimSidebarEnabled) {
|
||||
<span class="badge bg-danger position-absolute top-0 end-0 d-none d-md-block">{{tasksService.needsAttentionTasks.length}}</span>
|
||||
}
|
||||
@@ -317,7 +318,7 @@
|
||||
<a class="nav-link" routerLink="logs" routerLinkActive="active" (click)="closeMenu()" ngbPopover="Logs"
|
||||
i18n-ngbPopover [disablePopover]="!slimSidebarPopoversEnabled" placement="end" container="body"
|
||||
triggers="mouseenter:mouseleave" popoverClass="popover-slim">
|
||||
<i-bs class="me-2" name="text-left"></i-bs><span><ng-container i18n>Logs</ng-container></span>
|
||||
<i-bs class="me-2" name="text-left"></i-bs><span class="nav-link-label"><ng-container i18n>Logs</ng-container></span>
|
||||
</a>
|
||||
</li>
|
||||
}
|
||||
@@ -388,7 +389,7 @@
|
||||
</nav>
|
||||
|
||||
<main role="main" class="ms-sm-auto px-md-4" [class.mobile-search-hidden]="mobileSearchHidden()"
|
||||
[ngClass]="slimSidebarEnabled ? 'col-slim' : 'col-md-9 col-lg-10 col-xxxl-11'">
|
||||
[ngClass]="slimSidebarEnabled ? 'col-slim' : 'col-sidebar-expanded'">
|
||||
<router-outlet></router-outlet>
|
||||
</main>
|
||||
</div>
|
||||
|
||||
@@ -11,6 +11,7 @@
|
||||
border-right: 1px solid color-mix(in srgb, var(--bs-border-color) 65%, transparent);
|
||||
overflow-y: auto;
|
||||
--pngx-sidebar-width: 100%;
|
||||
width: var(--pngx-sidebar-width);
|
||||
max-width: var(--pngx-sidebar-width);
|
||||
transition: all .2s ease;
|
||||
|
||||
@@ -32,17 +33,10 @@
|
||||
display: none !important;
|
||||
}
|
||||
|
||||
// These come from the col-* classes for non-slim sidebar, needed for animation
|
||||
@media (min-width: 768px) {
|
||||
--pngx-sidebar-width: 25%;
|
||||
}
|
||||
|
||||
@media (min-width: 992px) {
|
||||
--pngx-sidebar-width: 16.66666667%;
|
||||
}
|
||||
|
||||
@media (min-width: 2400px) {
|
||||
--pngx-sidebar-width: 8.33333333%;
|
||||
&.expanded {
|
||||
--pngx-sidebar-width: var(--pngx-sidebar-expanded-width);
|
||||
}
|
||||
}
|
||||
}
|
||||
@media (max-width: 767.98px) {
|
||||
@@ -260,6 +254,26 @@ main {
|
||||
}
|
||||
}
|
||||
|
||||
.sidebar .nav-link:has(> .nav-link-label) {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
min-width: 0;
|
||||
|
||||
> i-bs {
|
||||
flex: 0 0 auto;
|
||||
}
|
||||
|
||||
> .nav-link-label {
|
||||
min-width: 0;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
}
|
||||
}
|
||||
|
||||
.sidebar:not(.slim):not(.animating) .nav-link > .nav-link-label {
|
||||
overflow: hidden;
|
||||
}
|
||||
|
||||
.sidebar .nav-anchor, .sidebar .nav-label {
|
||||
padding: .25rem .7rem;
|
||||
}
|
||||
@@ -385,7 +399,7 @@ main {
|
||||
}
|
||||
|
||||
::ng-deep .navbar-official-logo {
|
||||
will-change: filter; // Safari repaints the whole navbar on filter change without this
|
||||
will-change: filter; // prevent resizing the filter region on hover and nudging the logo a pixel
|
||||
filter: drop-shadow(0 1px 2px rgba(var(--pngx-navbar-brand-shadow-rgb), .3));
|
||||
transition: filter .15s ease-in-out;
|
||||
|
||||
@@ -398,6 +412,8 @@ main {
|
||||
width: 1.65rem;
|
||||
height: 1.65rem;
|
||||
flex: 0 0 auto;
|
||||
will-change: filter; // prevent resizing the filter region on hover and nudging the logo a pixel
|
||||
filter: drop-shadow(0 2px 3px rgba(var(--pngx-navbar-brand-shadow-rgb), 0));
|
||||
transition: filter .15s ease-in-out;
|
||||
}
|
||||
|
||||
@@ -430,6 +446,8 @@ main {
|
||||
max-width: 5rem;
|
||||
flex: 0 0 auto;
|
||||
object-fit: contain;
|
||||
will-change: filter; // prevent resizing the filter region on hover and nudging the logo a pixel
|
||||
filter: drop-shadow(0 2px 3px rgba(var(--pngx-navbar-brand-shadow-rgb), 0));
|
||||
transition: filter .15s ease-in-out, transform .15s ease-in-out;
|
||||
}
|
||||
|
||||
|
||||
@@ -9,7 +9,7 @@
|
||||
autocomplete="off"
|
||||
spellcheck="false"
|
||||
[ngModel]="query()"
|
||||
(ngModelChange)="queryDebounce.next($event)"
|
||||
(ngModelChange)="onQueryChange($event)"
|
||||
(keydown)="searchInputKeyDown($event)"
|
||||
ngbDropdownAnchor>
|
||||
<div class="position-absolute top-50 end-0 translate-middle">
|
||||
|
||||
@@ -272,6 +272,19 @@ describe('GlobalSearchComponent', () => {
|
||||
expect(advancedSearchSpy).toHaveBeenCalled()
|
||||
})
|
||||
|
||||
it('should set query immediately and run full search on enter without waiting for debounce', () => {
|
||||
jest.useFakeTimers()
|
||||
const searchSpy = jest.spyOn(searchService, 'globalSearch')
|
||||
searchSpy.mockReturnValue(of({} as any))
|
||||
const fullSearchSpy = jest.spyOn(component, 'runFullSearch')
|
||||
component.onQueryChange('test')
|
||||
expect(component.query()).toBe('test')
|
||||
component.searchInputKeyDown(new KeyboardEvent('keydown', { key: 'Enter' }))
|
||||
expect(fullSearchSpy).toHaveBeenCalled()
|
||||
expect(searchSpy).not.toHaveBeenCalled()
|
||||
jest.useRealTimers()
|
||||
})
|
||||
|
||||
it('should search on query debounce', () => {
|
||||
jest.useFakeTimers()
|
||||
const query = 'test'
|
||||
|
||||
@@ -119,6 +119,12 @@ export class GlobalSearchComponent implements OnInit {
|
||||
})
|
||||
}
|
||||
|
||||
public onQueryChange(text: string) {
|
||||
// set immediately so Enter / the full search button work without waiting for the debounce
|
||||
this.query.set(text)
|
||||
this.queryDebounce.next(text)
|
||||
}
|
||||
|
||||
public ngOnInit() {
|
||||
this.hotkeyService
|
||||
.addShortcut({ keys: '/', description: $localize`Global search` })
|
||||
|
||||
+9
-4
@@ -25,29 +25,34 @@
|
||||
|
||||
<div ngbDropdownMenu aria-labelledby="suggestionsDropdown" class="shadow suggestions-dropdown">
|
||||
<div class="list-group list-group-flush small pb-0">
|
||||
@if (totalSuggestions === 0) {
|
||||
@if (novelSuggestions === 0 && reusableSuggestions === 0) {
|
||||
<div class="list-group-item text-muted fst-italic">
|
||||
<small class="text-muted small fst-italic" i18n>No novel suggestions</small>
|
||||
</div>
|
||||
}
|
||||
@if (suggestions()?.suggested_tags.length > 0) {
|
||||
@if (suggestions()?.suggested_tags?.length > 0) {
|
||||
<small class="list-group-item text-uppercase text-muted small"><i-bs class="me-2" name="tags"></i-bs><ng-container i18n>Tags</ng-container></small>
|
||||
@for (tag of suggestions().suggested_tags; track tag) {
|
||||
<button type="button" class="list-group-item list-group-item-action bg-light" (click)="addTag.emit(tag)">{{ tag }}</button>
|
||||
}
|
||||
}
|
||||
@if (suggestions()?.suggested_document_types.length > 0) {
|
||||
@if (suggestions()?.suggested_document_types?.length > 0) {
|
||||
<div class="list-group-item text-uppercase text-muted small"><i-bs class="me-2" name="hash"></i-bs><ng-container i18n>Document Types</ng-container></div>
|
||||
@for (type of suggestions().suggested_document_types; track type) {
|
||||
<button type="button" class="list-group-item list-group-item-action bg-light" (click)="addDocumentType.emit(type)">{{ type }}</button>
|
||||
}
|
||||
}
|
||||
@if (suggestions()?.suggested_correspondents.length > 0) {
|
||||
@if (suggestions()?.suggested_correspondents?.length > 0) {
|
||||
<div class="list-group-item text-uppercase text-muted small"><i-bs class="me-2" name="person"></i-bs><ng-container i18n>Correspondents</ng-container></div>
|
||||
@for (correspondent of suggestions().suggested_correspondents; track correspondent) {
|
||||
<button type="button" class="list-group-item list-group-item-action bg-light" (click)="addCorrespondent.emit(correspondent)">{{ correspondent }}</button>
|
||||
}
|
||||
}
|
||||
@if (reusableSuggestions > 0) {
|
||||
<div class="list-group-item text-muted fst-italic">
|
||||
<small class="text-muted small fst-italic" i18n>{reusableSuggestions, plural, =1 {1 existing value suggested below} other {{{reusableSuggestions}} existing values suggested below}}</small>
|
||||
</div>
|
||||
}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
+101
-1
@@ -21,15 +21,115 @@ describe('SuggestionsDropdownComponent', () => {
|
||||
fixture.detectChanges()
|
||||
})
|
||||
|
||||
it('should calculate totalSuggestions', () => {
|
||||
it('should exclude suggested storage path names from totalSuggestions', () => {
|
||||
fixture.componentRef.setInput('suggestions', {
|
||||
suggested_correspondents: ['John Doe'],
|
||||
suggested_tags: ['Tag1', 'Tag2'],
|
||||
suggested_document_types: ['Type1'],
|
||||
suggested_storage_paths: ['Finance/Invoices'],
|
||||
})
|
||||
expect(component.totalSuggestions).toBe(4)
|
||||
})
|
||||
|
||||
it('should count suggestions when a category is absent from the response', () => {
|
||||
fixture.componentRef.setInput('suggestions', {
|
||||
suggested_tags: ['Tag1'],
|
||||
})
|
||||
expect(component.totalSuggestions).toBe(1)
|
||||
})
|
||||
|
||||
it('should count reused values the document does not have yet', () => {
|
||||
fixture.componentRef.setInput('suggestions', {
|
||||
tags: [1, 2, 3],
|
||||
correspondents: [10],
|
||||
document_types: [20],
|
||||
suggested_tags: ['NewTag'],
|
||||
})
|
||||
fixture.componentRef.setInput('appliedTags', [2])
|
||||
fixture.componentRef.setInput('appliedDocumentType', 20)
|
||||
|
||||
// tags 1 and 3 are not applied yet, correspondent 10 is not set, tag 2 and
|
||||
// document type 20 already are.
|
||||
expect(component.reusableSuggestions).toBe(3)
|
||||
expect(component.novelSuggestions).toBe(1)
|
||||
expect(component.totalSuggestions).toBe(4)
|
||||
})
|
||||
|
||||
it('should not count reused values that are already applied', () => {
|
||||
fixture.componentRef.setInput('suggestions', {
|
||||
tags: [1],
|
||||
correspondents: [10],
|
||||
document_types: [20],
|
||||
})
|
||||
fixture.componentRef.setInput('appliedTags', [1])
|
||||
fixture.componentRef.setInput('appliedCorrespondent', 10)
|
||||
fixture.componentRef.setInput('appliedDocumentType', 20)
|
||||
|
||||
expect(component.totalSuggestions).toBe(0)
|
||||
})
|
||||
|
||||
it('should point at the fields when suggestions are all reused', () => {
|
||||
// The dropdown lists only values to create, so a response made entirely of
|
||||
// reused existing objects used to render as "No novel suggestions".
|
||||
fixture.componentRef.setInput('aiEnabled', true)
|
||||
fixture.componentRef.setInput('suggestions', {
|
||||
tags: [1, 2],
|
||||
suggested_tags: [],
|
||||
suggested_correspondents: [],
|
||||
suggested_document_types: [],
|
||||
})
|
||||
fixture.detectChanges()
|
||||
component.clickSuggest()
|
||||
fixture.detectChanges()
|
||||
|
||||
expect(fixture.nativeElement.textContent).toContain(
|
||||
'2 existing values suggested below'
|
||||
)
|
||||
expect(fixture.nativeElement.textContent).not.toContain(
|
||||
'No novel suggestions'
|
||||
)
|
||||
})
|
||||
|
||||
it('should account for reused values alongside values to create', () => {
|
||||
// The badge counts both, but only the novel names are listed here, so the
|
||||
// dropdown has to say where the rest of the count came from.
|
||||
fixture.componentRef.setInput('aiEnabled', true)
|
||||
fixture.componentRef.setInput('suggestions', {
|
||||
tags: [6, 3],
|
||||
suggested_tags: ['Arbitration', 'New York'],
|
||||
suggested_correspondents: [],
|
||||
suggested_document_types: [],
|
||||
})
|
||||
fixture.detectChanges()
|
||||
component.clickSuggest()
|
||||
fixture.detectChanges()
|
||||
|
||||
expect(component.totalSuggestions).toBe(4)
|
||||
expect(fixture.nativeElement.textContent).toContain('Arbitration')
|
||||
expect(fixture.nativeElement.textContent).toContain(
|
||||
'2 existing values suggested below'
|
||||
)
|
||||
})
|
||||
|
||||
it('should count classic (non-AI) suggestions, which are ids only', () => {
|
||||
// /api/documents/{id}/suggestions/ returns only id arrays and no
|
||||
// suggested_* keys at all, so every one of its suggestions is a reused
|
||||
// existing object - including storage paths.
|
||||
fixture.componentRef.setInput('suggestions', {
|
||||
correspondents: [4],
|
||||
tags: [6, 3],
|
||||
document_types: [2],
|
||||
storage_paths: [7],
|
||||
dates: ['2005-01-01'],
|
||||
})
|
||||
|
||||
expect(component.novelSuggestions).toBe(0)
|
||||
expect(component.totalSuggestions).toBe(5)
|
||||
|
||||
fixture.componentRef.setInput('appliedStoragePath', 7)
|
||||
expect(component.totalSuggestions).toBe(4)
|
||||
})
|
||||
|
||||
it('should show when a completed request returned no suggestions', () => {
|
||||
fixture.componentRef.setInput('suggestions', {
|
||||
correspondents: [],
|
||||
|
||||
+41
-4
@@ -25,6 +25,11 @@ export class SuggestionsDropdownComponent {
|
||||
readonly loading = input(false)
|
||||
readonly disabled = input(false)
|
||||
|
||||
readonly appliedTags = input<number[]>([])
|
||||
readonly appliedCorrespondent = input<number>(null)
|
||||
readonly appliedDocumentType = input<number>(null)
|
||||
readonly appliedStoragePath = input<number>(null)
|
||||
|
||||
@Output()
|
||||
getSuggestions: EventEmitter<SuggestionsDropdownComponent> =
|
||||
new EventEmitter()
|
||||
@@ -54,14 +59,46 @@ export class SuggestionsDropdownComponent {
|
||||
}
|
||||
}
|
||||
|
||||
get totalSuggestions(): number {
|
||||
get novelSuggestions(): number {
|
||||
return (
|
||||
this.suggestions()?.suggested_correspondents?.length +
|
||||
this.suggestions()?.suggested_tags?.length +
|
||||
this.suggestions()?.suggested_document_types?.length || 0
|
||||
(this.suggestions()?.suggested_correspondents?.length ?? 0) +
|
||||
(this.suggestions()?.suggested_tags?.length ?? 0) +
|
||||
(this.suggestions()?.suggested_document_types?.length ?? 0)
|
||||
)
|
||||
}
|
||||
|
||||
get reusableSuggestions(): number {
|
||||
const correspondent = this.appliedCorrespondent()
|
||||
const documentType = this.appliedDocumentType()
|
||||
const storagePath = this.appliedStoragePath()
|
||||
// Storage paths count here but not in novelSuggestions: an existing one
|
||||
// can be applied from the field, a suggested name cannot create one.
|
||||
return (
|
||||
this.countUnapplied(this.suggestions()?.tags, this.appliedTags()) +
|
||||
this.countUnapplied(
|
||||
this.suggestions()?.correspondents,
|
||||
correspondent ? [correspondent] : []
|
||||
) +
|
||||
this.countUnapplied(
|
||||
this.suggestions()?.document_types,
|
||||
documentType ? [documentType] : []
|
||||
) +
|
||||
this.countUnapplied(
|
||||
this.suggestions()?.storage_paths,
|
||||
storagePath ? [storagePath] : []
|
||||
)
|
||||
)
|
||||
}
|
||||
|
||||
get totalSuggestions(): number {
|
||||
return this.novelSuggestions + this.reusableSuggestions
|
||||
}
|
||||
|
||||
private countUnapplied(suggested: number[], applied: number[]): number {
|
||||
return (suggested ?? []).filter((id) => !(applied ?? []).includes(id))
|
||||
.length
|
||||
}
|
||||
|
||||
get noSuggestions(): boolean {
|
||||
const suggestions = this.suggestions()
|
||||
return (
|
||||
|
||||
+1
-1
@@ -9,7 +9,7 @@
|
||||
<input type="file" class="visually-hidden" (change)="onFileSelected($event)" multiple #fileUpload>
|
||||
</form>
|
||||
@if (getStatus().length > 0) {
|
||||
<div class="fixed-bottom p-2 p-md-4 d-flex justify-content-end pe-none consumer-status-list" [ngClass]="slimSidebarEnabled ? 'col-slim' : 'offset-md-3 offset-lg-2'">
|
||||
<div class="fixed-bottom p-2 p-md-4 d-flex justify-content-end pe-none consumer-status-list" [ngClass]="slimSidebarEnabled ? 'col-slim' : 'offset-sidebar-expanded'">
|
||||
<div class="col col-lg-4 col-xl-3 ps-0 pe-0 ps-lg-3 pe-lg-0 pe-auto overflow-y-scroll">
|
||||
<div class="card shadow-sm consumer-status-card">
|
||||
<div class="card-body">
|
||||
|
||||
@@ -134,6 +134,10 @@
|
||||
[loading]="suggestionsLoading()"
|
||||
[suggestions]="suggestions()"
|
||||
[aiEnabled]="aiEnabled"
|
||||
[appliedTags]="documentForm.value.tags"
|
||||
[appliedCorrespondent]="documentForm.value.correspondent"
|
||||
[appliedDocumentType]="documentForm.value.document_type"
|
||||
[appliedStoragePath]="documentForm.value.storage_path"
|
||||
(getSuggestions)="getSuggestions()"
|
||||
(addTag)="createTag($event)"
|
||||
(addDocumentType)="createDocumentType($event)"
|
||||
|
||||
@@ -12,9 +12,11 @@
|
||||
margin-right: 0 !important;
|
||||
}
|
||||
|
||||
main.col-lg-10 {
|
||||
main {
|
||||
max-width: 100%;
|
||||
flex-basis: 100%;
|
||||
width: 100% !important;
|
||||
padding-left: 0 !important;
|
||||
display: block;
|
||||
}
|
||||
|
||||
|
||||
+10
-11
@@ -52,20 +52,10 @@ $grid-breakpoints: (
|
||||
}
|
||||
}
|
||||
|
||||
@media (min-width: 2400px) {
|
||||
.col-xxxl-1 {
|
||||
flex: 0 0 auto;
|
||||
width: 8.33333333%;
|
||||
}
|
||||
.col-xxxl-11 {
|
||||
flex: 0 0 auto;
|
||||
width:91.66666667%
|
||||
}
|
||||
}
|
||||
|
||||
// Paperless-ngx styles
|
||||
body {
|
||||
--pngx-body-font-size: 0.875rem;
|
||||
--pngx-sidebar-expanded-width: clamp(15rem, 16.66666667vw, 20rem);
|
||||
font-size: var(--pngx-body-font-size);
|
||||
height: 100vh;
|
||||
letter-spacing: -0.005em;
|
||||
@@ -107,6 +97,15 @@ body {
|
||||
.col-slim {
|
||||
padding-left: calc(56px + $grid-gutter-width) !important;
|
||||
}
|
||||
|
||||
.col-sidebar-expanded {
|
||||
flex: 0 0 auto;
|
||||
width: calc(100% - var(--pngx-sidebar-expanded-width));
|
||||
}
|
||||
|
||||
.offset-sidebar-expanded {
|
||||
margin-left: var(--pngx-sidebar-expanded-width);
|
||||
}
|
||||
}
|
||||
|
||||
svg.logo {
|
||||
|
||||
@@ -7,9 +7,10 @@ from rest_framework import status
|
||||
from rest_framework.test import APITestCase
|
||||
|
||||
from documents.models import Document
|
||||
from documents.tests.utils import DirectoriesMixin
|
||||
|
||||
|
||||
class TestTrashAPI(APITestCase):
|
||||
class TestTrashAPI(DirectoriesMixin, APITestCase):
|
||||
def setUp(self) -> None:
|
||||
super().setUp()
|
||||
|
||||
|
||||
@@ -409,6 +409,7 @@ class TestBulkDownloadPermissionChecksRootDocument:
|
||||
|
||||
|
||||
@pytest.mark.django_db
|
||||
@pytest.mark.usefixtures("_search_index")
|
||||
class TestTrashRestorePermissionBoundary:
|
||||
def test_restore_rejects_document_without_delete_permission(
|
||||
self,
|
||||
|
||||
@@ -1,4 +1,3 @@
|
||||
import json
|
||||
import logging
|
||||
|
||||
from django.conf import settings
|
||||
@@ -9,6 +8,7 @@ from documents.permissions import get_objects_for_user_owner_aware
|
||||
from paperless.config import AIConfig
|
||||
from paperless_ai.base_model import ClassificationSuggestions
|
||||
from paperless_ai.base_model import TaxonomyChoiceDict
|
||||
from paperless_ai.base_model import classification_suggestions_to_model
|
||||
from paperless_ai.client import AIClient
|
||||
from paperless_ai.db import db_connection_released
|
||||
from paperless_ai.indexing import _node_document_ids
|
||||
@@ -124,20 +124,16 @@ def build_localization_prompt(
|
||||
suggestions: ClassificationSuggestions,
|
||||
output_language: str,
|
||||
) -> str:
|
||||
"""``suggestions`` is the full nested-shape result of parse_ai_response
|
||||
(each taxonomy field a ``{"existing_ids": [...], "new_names": [...]}``
|
||||
dict) - passed through as-is so the model receives and returns the exact
|
||||
DocumentClassifierSchema shape run_llm_query() always parses against.
|
||||
Only each field's new_names (never existing_ids, which are plain
|
||||
resolved-object IDs, not text) and title get used from the response; see
|
||||
get_ai_document_classification's merge step, which always keeps the
|
||||
*original* existing_ids regardless of what the model echoes back here.
|
||||
"""Render internal suggestions in the same flat shape the model returns.
|
||||
Only the name fields and title are used from the localized response; the
|
||||
merge step always keeps the original ID fields.
|
||||
"""
|
||||
language_name = get_language_name(output_language)
|
||||
model_suggestions = classification_suggestions_to_model(suggestions)
|
||||
return render_prompt(
|
||||
LocalizationPromptContext(
|
||||
language_name=language_name,
|
||||
suggestions_json=json.dumps(suggestions, ensure_ascii=False),
|
||||
suggestions_json=model_suggestions.model_dump_json(),
|
||||
),
|
||||
)
|
||||
|
||||
@@ -208,11 +204,9 @@ def get_taxonomy_context(
|
||||
|
||||
|
||||
def parse_ai_response(raw: dict) -> ClassificationSuggestions:
|
||||
"""``raw`` is AIClient.run_llm_query()'s return value - already a
|
||||
DocumentClassifierSchema.model_dump(), so every key below is always
|
||||
present with the right shape; this only exists to give the rest of the
|
||||
module a named, typed boundary instead of passing the client's bare dict
|
||||
straight through everywhere.
|
||||
"""``raw`` is AIClient.run_llm_query()'s validated internal-shape result.
|
||||
This gives the rest of the module a named, typed boundary instead of
|
||||
passing the client's bare dict straight through everywhere.
|
||||
"""
|
||||
|
||||
def _choice(value: dict | None) -> TaxonomyChoiceDict:
|
||||
|
||||
+123
-73
@@ -31,38 +31,9 @@ def _truncate_to_field_limit(value: Any, field: FieldInfo) -> Any:
|
||||
)
|
||||
|
||||
|
||||
# Docstrings and field descriptions on both models below are serialized into
|
||||
# the schema handed to the LLM, so write them for the model. Code comments
|
||||
# should go here only.
|
||||
class TaxonomyChoice(BaseModel):
|
||||
"""One field's suggestions: existing values to reuse, plus new ones to create."""
|
||||
|
||||
existing_ids: list[int] = Field(
|
||||
default_factory=list,
|
||||
max_length=MAX_EXISTING_IDS,
|
||||
description=(
|
||||
"IDs from the candidate list shown in the prompt that clearly "
|
||||
"represent values you would suggest for this field. Never invent "
|
||||
"an ID, select a weak match merely because it exists, or use an "
|
||||
"ID when no candidates are shown."
|
||||
),
|
||||
)
|
||||
new_names: list[str] = Field(
|
||||
default_factory=list,
|
||||
max_length=MAX_NEW_NAMES,
|
||||
description=(
|
||||
"Names for clearly supported values that no shown candidate "
|
||||
"represents. When a candidate represents the same value, use its "
|
||||
"ID instead so an existing value is not duplicated under a new name."
|
||||
),
|
||||
)
|
||||
|
||||
@field_validator("existing_ids", "new_names", mode="before")
|
||||
@classmethod
|
||||
def _truncate(cls, value: Any, info: ValidationInfo) -> Any:
|
||||
return _truncate_to_field_limit(value, cls.model_fields[info.field_name])
|
||||
|
||||
|
||||
# This model is serialized into the schema handed to the LLM, so its docstring
|
||||
# and field descriptions are instructions for the model. Keep implementation
|
||||
# details in code comments instead.
|
||||
class DocumentClassifierSchema(BaseModel):
|
||||
"""Classification suggestions for a single document."""
|
||||
|
||||
@@ -73,36 +44,79 @@ class DocumentClassifierSchema(BaseModel):
|
||||
f"{MAX_TITLE_LENGTH} characters."
|
||||
),
|
||||
)
|
||||
tags: TaxonomyChoice = Field(
|
||||
default_factory=TaxonomyChoice,
|
||||
tags: list[str] = Field(
|
||||
default_factory=list,
|
||||
max_length=MAX_NEW_NAMES,
|
||||
description=(
|
||||
"Topic labels describing what this document is about. A document "
|
||||
"may have several, e.g. 'Insurance', 'Car', 'Warranty'."
|
||||
"Names of topic labels describing what this document is about, "
|
||||
"e.g. 'Insurance', 'Car', 'Warranty'. When an available tag "
|
||||
"represents the same label, use its ID in tag_ids instead."
|
||||
),
|
||||
)
|
||||
correspondents: TaxonomyChoice = Field(
|
||||
default_factory=TaxonomyChoice,
|
||||
tag_ids: list[int] = Field(
|
||||
default_factory=list,
|
||||
max_length=MAX_EXISTING_IDS,
|
||||
description=(
|
||||
"The person, institution or company this document originates "
|
||||
"from, or was sent to. Not every party merely mentioned in the "
|
||||
"text, and not the subject of the document."
|
||||
"IDs of available tags that clearly apply to this document. Only "
|
||||
"use IDs shown in the prompt; never invent one or choose a weak match."
|
||||
),
|
||||
)
|
||||
document_types: TaxonomyChoice = Field(
|
||||
default_factory=TaxonomyChoice,
|
||||
correspondents: list[str] = Field(
|
||||
default_factory=list,
|
||||
max_length=MAX_NEW_NAMES,
|
||||
description=(
|
||||
"What kind of document this is, e.g. 'Invoice', 'Contract', "
|
||||
"'Bank Statement', 'Letter'. Never its subject matter and never "
|
||||
"who sent it."
|
||||
"Names of people, institutions or companies this document is from "
|
||||
"or was sent to, not every party merely mentioned. When an "
|
||||
"available correspondent is the same entity, use its ID in "
|
||||
"correspondent_ids instead."
|
||||
),
|
||||
)
|
||||
storage_paths: TaxonomyChoice = Field(
|
||||
default_factory=TaxonomyChoice,
|
||||
correspondent_ids: list[int] = Field(
|
||||
default_factory=list,
|
||||
max_length=MAX_EXISTING_IDS,
|
||||
description=(
|
||||
"A folder-style filing location for this document, e.g. "
|
||||
"IDs of available correspondents that clearly apply to this "
|
||||
"document. Only use IDs shown in the prompt; never invent one or "
|
||||
"choose a weak match."
|
||||
),
|
||||
)
|
||||
document_types: list[str] = Field(
|
||||
default_factory=list,
|
||||
max_length=MAX_NEW_NAMES,
|
||||
description=(
|
||||
"Names describing what kind of document this is, e.g. 'Invoice', "
|
||||
"'Contract', 'Bank Statement', 'Letter'. Never use its subject or "
|
||||
"sender as a document type. When an available document type is the "
|
||||
"same kind, use its ID in document_type_ids instead."
|
||||
),
|
||||
)
|
||||
document_type_ids: list[int] = Field(
|
||||
default_factory=list,
|
||||
max_length=MAX_EXISTING_IDS,
|
||||
description=(
|
||||
"IDs of available document types that clearly apply to this "
|
||||
"document. Only use IDs shown in the prompt; never invent one or "
|
||||
"choose a weak match."
|
||||
),
|
||||
)
|
||||
storage_paths: list[str] = Field(
|
||||
default_factory=list,
|
||||
max_length=MAX_NEW_NAMES,
|
||||
description=(
|
||||
"Names of folder-style filing locations, e.g. "
|
||||
"'Finance/Invoices'. Leave empty unless a filing location is "
|
||||
"clearly implied - never put tags, document types or "
|
||||
"correspondents here."
|
||||
"correspondents here. When an available storage path is the same "
|
||||
"location, use its ID in storage_path_ids instead."
|
||||
),
|
||||
)
|
||||
storage_path_ids: list[int] = Field(
|
||||
default_factory=list,
|
||||
max_length=MAX_EXISTING_IDS,
|
||||
description=(
|
||||
"IDs of available storage paths that clearly apply to this "
|
||||
"document. Only use IDs shown in the prompt; never invent one or "
|
||||
"choose a weak match."
|
||||
),
|
||||
)
|
||||
dates: list[str] = Field(
|
||||
@@ -115,41 +129,33 @@ class DocumentClassifierSchema(BaseModel):
|
||||
),
|
||||
)
|
||||
|
||||
@field_validator("title", "dates", mode="before")
|
||||
@field_validator(
|
||||
"title",
|
||||
"tags",
|
||||
"tag_ids",
|
||||
"correspondents",
|
||||
"correspondent_ids",
|
||||
"document_types",
|
||||
"document_type_ids",
|
||||
"storage_paths",
|
||||
"storage_path_ids",
|
||||
"dates",
|
||||
mode="before",
|
||||
)
|
||||
@classmethod
|
||||
def _truncate(cls, value: Any, info: ValidationInfo) -> Any:
|
||||
return _truncate_to_field_limit(value, cls.model_fields[info.field_name])
|
||||
|
||||
@classmethod
|
||||
def model_json_schema(cls, *args: Any, **kwargs: Any) -> dict[str, Any]:
|
||||
"""Inline TaxonomyChoice for backends that reject JSON Schema refs."""
|
||||
schema = super().model_json_schema(*args, **kwargs)
|
||||
taxonomy_choice = schema.pop("$defs")["TaxonomyChoice"]
|
||||
for field in ("tags", "correspondents", "document_types", "storage_paths"):
|
||||
# Pydantic emits a field's description as a sibling of its $ref;
|
||||
# those keys must survive and win over the shared definition.
|
||||
siblings = {
|
||||
key: value
|
||||
for key, value in schema["properties"][field].items()
|
||||
if key != "$ref"
|
||||
}
|
||||
schema["properties"][field] = taxonomy_choice | siblings
|
||||
return schema
|
||||
|
||||
|
||||
class TaxonomyChoiceDict(TypedDict):
|
||||
"""Plain-dict counterpart of TaxonomyChoice - what
|
||||
TaxonomyChoice.model_dump() actually produces, typed for callers that
|
||||
work with the dumped dict rather than the pydantic instance."""
|
||||
"""Internal representation of names and existing IDs for one taxonomy."""
|
||||
|
||||
existing_ids: list[int]
|
||||
new_names: list[str]
|
||||
|
||||
|
||||
class ClassificationSuggestions(TypedDict):
|
||||
"""Plain-dict counterpart of DocumentClassifierSchema.model_dump() -
|
||||
the shape threaded through parse_ai_response, build_localization_prompt,
|
||||
get_ai_document_classification, and the ai_suggestions view."""
|
||||
"""Internal shape used after the flat LLM response is validated."""
|
||||
|
||||
title: str
|
||||
tags: TaxonomyChoiceDict
|
||||
@@ -157,3 +163,47 @@ class ClassificationSuggestions(TypedDict):
|
||||
document_types: TaxonomyChoiceDict
|
||||
storage_paths: TaxonomyChoiceDict
|
||||
dates: list[str]
|
||||
|
||||
|
||||
def model_to_classification_suggestions(
|
||||
model: DocumentClassifierSchema,
|
||||
) -> ClassificationSuggestions:
|
||||
"""Convert the flat, model-friendly response to the internal shape."""
|
||||
return ClassificationSuggestions(
|
||||
title=model.title,
|
||||
tags=TaxonomyChoiceDict(
|
||||
existing_ids=model.tag_ids,
|
||||
new_names=model.tags,
|
||||
),
|
||||
correspondents=TaxonomyChoiceDict(
|
||||
existing_ids=model.correspondent_ids,
|
||||
new_names=model.correspondents,
|
||||
),
|
||||
document_types=TaxonomyChoiceDict(
|
||||
existing_ids=model.document_type_ids,
|
||||
new_names=model.document_types,
|
||||
),
|
||||
storage_paths=TaxonomyChoiceDict(
|
||||
existing_ids=model.storage_path_ids,
|
||||
new_names=model.storage_paths,
|
||||
),
|
||||
dates=model.dates,
|
||||
)
|
||||
|
||||
|
||||
def classification_suggestions_to_model(
|
||||
suggestions: ClassificationSuggestions,
|
||||
) -> DocumentClassifierSchema:
|
||||
"""Convert internal suggestions to the flat shape used for localization."""
|
||||
return DocumentClassifierSchema(
|
||||
title=suggestions["title"],
|
||||
tags=suggestions["tags"]["new_names"],
|
||||
tag_ids=suggestions["tags"]["existing_ids"],
|
||||
correspondents=suggestions["correspondents"]["new_names"],
|
||||
correspondent_ids=suggestions["correspondents"]["existing_ids"],
|
||||
document_types=suggestions["document_types"]["new_names"],
|
||||
document_type_ids=suggestions["document_types"]["existing_ids"],
|
||||
storage_paths=suggestions["storage_paths"]["new_names"],
|
||||
storage_path_ids=suggestions["storage_paths"]["existing_ids"],
|
||||
dates=suggestions["dates"],
|
||||
)
|
||||
|
||||
@@ -19,7 +19,9 @@ from paperless.network import PinnedHostHTTPTransport
|
||||
from paperless.network import create_pinned_async_httpx_client
|
||||
from paperless.network import create_pinned_httpx_client
|
||||
from paperless.network import validate_outbound_http_url
|
||||
from paperless_ai.base_model import ClassificationSuggestions
|
||||
from paperless_ai.base_model import DocumentClassifierSchema
|
||||
from paperless_ai.base_model import model_to_classification_suggestions
|
||||
from paperless_ai.exceptions import LLMTimeoutError
|
||||
|
||||
logger = logging.getLogger("paperless_ai.client")
|
||||
@@ -115,7 +117,7 @@ class AIClient:
|
||||
else:
|
||||
raise ValueError(f"Unsupported LLM backend: {self.settings.llm_backend}")
|
||||
|
||||
def run_llm_query(self, prompt: str) -> str:
|
||||
def run_llm_query(self, prompt: str) -> ClassificationSuggestions:
|
||||
logger.debug(
|
||||
"Running LLM query against %s with model %s",
|
||||
self.settings.llm_backend,
|
||||
@@ -134,7 +136,7 @@ class AIClient:
|
||||
)
|
||||
logger.debug("LLM query result: %s", result)
|
||||
parsed = DocumentClassifierSchema(**json.loads(result.message.content))
|
||||
return parsed.model_dump()
|
||||
return model_to_classification_suggestions(parsed)
|
||||
|
||||
from llama_index.core.program.function_program import get_function_tool
|
||||
|
||||
@@ -153,7 +155,7 @@ class AIClient:
|
||||
)
|
||||
logger.debug("LLM query result: %s", tool_calls)
|
||||
parsed = DocumentClassifierSchema(**tool_calls[0].tool_kwargs)
|
||||
return parsed.model_dump()
|
||||
return model_to_classification_suggestions(parsed)
|
||||
|
||||
@contextmanager
|
||||
def _normalize_timeouts(self) -> Iterator[None]:
|
||||
|
||||
@@ -13,10 +13,10 @@ Analyze the following document and fill in these fields:
|
||||
- dates: up to 3 relevant dates in YYYY-MM-DD format
|
||||
{% if has_candidates %}
|
||||
|
||||
For tags, correspondents, document types, and storage paths: first decide whether there is a useful, well-supported suggestion. If an available candidate clearly represents that suggestion, put its id in existing_ids instead of duplicating it in new_names. If no candidate represents the suggestion, put its name in new_names. Do not choose a weak candidate merely because it exists.
|
||||
For tags, correspondents, document types, and storage paths: first decide whether there is a useful, well-supported suggestion. If an available candidate clearly represents that suggestion, put its id in the matching tag_ids, correspondent_ids, document_type_ids, or storage_path_ids field instead of repeating its name. If no candidate represents the suggestion, put its name in tags, correspondents, document_types, or storage_paths. Do not choose a weak candidate merely because it exists.
|
||||
{% else %}
|
||||
|
||||
No candidates are shown for this document, so leave every existing_ids list empty and put each suggestion's name in new_names.
|
||||
No candidates are shown for this document, so leave every field ending in "_ids" empty and put suggestions in the corresponding name fields.
|
||||
{% endif %}
|
||||
|
||||
Filename:
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
You are localizing document classification suggestions for display in Paperless-ngx.
|
||||
|
||||
Rewrite only the "title" field and each taxonomy field's "new_names" list in {{ language_name }}. Leave every "existing_ids" list exactly as given - these are database identifiers, not text, and are not used from your response even if changed.
|
||||
Rewrite only the "title", "tags", "document_types", and "storage_paths" fields in {{ language_name }}. Leave every field ending in "_ids" exactly as given - these are database identifiers, not text, and are not used from your response even if changed.
|
||||
|
||||
Do not translate correspondents or dates.
|
||||
Preserve proper nouns, organization names, product names, and exact official document names. Translate generic category words when a {{ language_name }} equivalent exists.
|
||||
|
||||
@@ -245,7 +245,7 @@ def test_prompt_with_without_rag(mock_document):
|
||||
THEN:
|
||||
- build_prompt_without_rag() has no similar-documents section
|
||||
- build_prompt_with_rag() includes the similar-documents context
|
||||
- build_localization_prompt() asks to rewrite only new_names/title and
|
||||
- build_localization_prompt() asks to rewrite only names/title and
|
||||
not to translate correspondents or dates
|
||||
"""
|
||||
config = AIConfig()
|
||||
@@ -264,6 +264,7 @@ def test_prompt_with_without_rag(mock_document):
|
||||
prompt = build_localization_prompt(NESTED_SUGGESTIONS, output_language="de-de")
|
||||
assert "Rewrite only the" in prompt
|
||||
assert "Do not translate correspondents or dates" in prompt
|
||||
assert '"tag_ids":[]' in prompt
|
||||
|
||||
|
||||
def test_get_language_name_falls_back_to_language_code():
|
||||
@@ -607,7 +608,7 @@ def test_build_prompt_without_rag_includes_taxonomy_block():
|
||||
WHEN:
|
||||
- build_prompt_without_rag() is called with candidates and assigned metadata
|
||||
THEN:
|
||||
- The candidate's id and the existing_ids/new_names instructions appear
|
||||
- The candidate's id and the flat name/ID instructions appear
|
||||
- Candidates are presented as deduplication options, not requirements
|
||||
"""
|
||||
document = DocumentFactory.create(content="Some content")
|
||||
@@ -633,8 +634,8 @@ def test_build_prompt_without_rag_includes_taxonomy_block():
|
||||
)
|
||||
|
||||
assert '"id": 12' in prompt
|
||||
assert "existing_ids" in prompt
|
||||
assert "new_names" in prompt
|
||||
assert "tag_ids" in prompt
|
||||
assert "correspondent_ids" in prompt
|
||||
assert "not requirements" in prompt
|
||||
assert "weak candidate" in prompt
|
||||
|
||||
@@ -651,7 +652,7 @@ def test_build_prompt_without_rag_identical_when_no_hints():
|
||||
- Both prompts are identical
|
||||
- Neither carries the "Available ..." candidate block or the
|
||||
id-vs-name routing instruction
|
||||
- Both still tell the model to leave existing_ids empty
|
||||
- Both still tell the model to leave every ID field empty
|
||||
"""
|
||||
document = DocumentFactory.create(content="Some content")
|
||||
config = AIConfig()
|
||||
@@ -678,8 +679,8 @@ def test_build_prompt_without_rag_identical_when_no_hints():
|
||||
|
||||
assert with_empty_hints == with_no_hints
|
||||
assert "Available " not in with_no_hints
|
||||
assert "put its id in existing_ids" not in with_no_hints
|
||||
assert "leave every existing_ids list empty" in with_no_hints
|
||||
assert "put its id in the matching" not in with_no_hints
|
||||
assert 'leave every field ending in "_ids" empty' in with_no_hints
|
||||
|
||||
|
||||
@pytest.mark.django_db
|
||||
@@ -691,9 +692,9 @@ def test_build_prompt_without_rag_tells_model_to_skip_ids_when_no_candidates():
|
||||
- build_prompt_without_rag() is called with candidates and assigned metadata
|
||||
THEN:
|
||||
- The assigned-metadata block appears (taxonomy_block is non-empty)
|
||||
- The prompt tells the model to leave existing_ids empty
|
||||
- The prompt tells the model to leave every ID field empty
|
||||
|
||||
Staying silent about existing_ids here is not enough: the response schema
|
||||
Staying silent about ID fields here is not enough: the response schema
|
||||
advertises the field whatever the prompt says, and models fill it with
|
||||
placeholder ids that resolve to real but unrelated objects (#13831).
|
||||
"""
|
||||
@@ -721,7 +722,7 @@ def test_build_prompt_without_rag_tells_model_to_skip_ids_when_no_candidates():
|
||||
|
||||
assert "already assigned" in prompt
|
||||
assert "No candidates are shown" in prompt
|
||||
assert "leave every existing_ids list empty" in prompt
|
||||
assert 'leave every field ending in "_ids" empty' in prompt
|
||||
|
||||
|
||||
@pytest.mark.django_db
|
||||
|
||||
@@ -6,8 +6,9 @@ from paperless_ai.base_model import MAX_NEW_NAMES
|
||||
from paperless_ai.base_model import MAX_TITLE_LENGTH
|
||||
from paperless_ai.base_model import ClassificationSuggestions
|
||||
from paperless_ai.base_model import DocumentClassifierSchema
|
||||
from paperless_ai.base_model import TaxonomyChoice
|
||||
from paperless_ai.base_model import TaxonomyChoiceDict
|
||||
from paperless_ai.base_model import classification_suggestions_to_model
|
||||
from paperless_ai.base_model import model_to_classification_suggestions
|
||||
|
||||
|
||||
def test_document_classifier_schema_declared_defaults():
|
||||
@@ -18,29 +19,67 @@ def test_document_classifier_schema_declared_defaults():
|
||||
WHEN:
|
||||
- The schema is dumped to a dict via model_dump()
|
||||
THEN:
|
||||
- Every taxonomy field dumps as an empty existing_ids/new_names
|
||||
dict, and dates dumps as an empty list
|
||||
- Every name and ID field, and dates, dump as empty lists
|
||||
|
||||
This is the one project-owned fact worth pinning down here: which
|
||||
defaults this schema declares for a partial LLM response (see
|
||||
client.py's DocumentClassifierSchema(**json.loads(...)) call sites,
|
||||
which construct from whatever subset of fields the backend actually
|
||||
returned). It deliberately hardcodes the expected literal rather than
|
||||
re-deriving it from TaxonomyChoice()/[] - pydantic's own
|
||||
default_factory machinery is not this project's to re-test, and a
|
||||
test that recomputes the expected value from the model under test
|
||||
can't ever catch a wrong default.
|
||||
The model may omit optional fields, so the schema must provide the complete
|
||||
empty shape expected by the conversion and matching pipeline.
|
||||
"""
|
||||
schema = DocumentClassifierSchema(title="Test Title")
|
||||
|
||||
dumped = schema.model_dump()
|
||||
|
||||
empty_choice = {"existing_ids": [], "new_names": []}
|
||||
assert dumped["tags"] == empty_choice
|
||||
assert dumped["correspondents"] == empty_choice
|
||||
assert dumped["document_types"] == empty_choice
|
||||
assert dumped["storage_paths"] == empty_choice
|
||||
assert dumped["dates"] == []
|
||||
assert dumped == {
|
||||
"title": "Test Title",
|
||||
"tags": [],
|
||||
"tag_ids": [],
|
||||
"correspondents": [],
|
||||
"correspondent_ids": [],
|
||||
"document_types": [],
|
||||
"document_type_ids": [],
|
||||
"storage_paths": [],
|
||||
"storage_path_ids": [],
|
||||
"dates": [],
|
||||
}
|
||||
|
||||
|
||||
def test_flat_model_response_converts_to_internal_taxonomy_choices():
|
||||
"""
|
||||
GIVEN:
|
||||
- A flat model response with separate name and candidate-ID fields
|
||||
WHEN:
|
||||
- It is converted to Paperless' internal suggestion representation
|
||||
THEN:
|
||||
- Names and IDs are paired under their taxonomy category
|
||||
"""
|
||||
parsed = DocumentClassifierSchema(
|
||||
title="Electricity Bill",
|
||||
tags=["Utilities", "Electricity"],
|
||||
tag_ids=[12],
|
||||
correspondents=["Power Company"],
|
||||
correspondent_ids=[23],
|
||||
document_types=["Utility Bill"],
|
||||
document_type_ids=[34],
|
||||
storage_paths=["Finance/Utilities"],
|
||||
storage_path_ids=[45],
|
||||
)
|
||||
suggestions = model_to_classification_suggestions(parsed)
|
||||
|
||||
assert suggestions["tags"] == {
|
||||
"existing_ids": [12],
|
||||
"new_names": ["Utilities", "Electricity"],
|
||||
}
|
||||
assert suggestions["correspondents"] == {
|
||||
"existing_ids": [23],
|
||||
"new_names": ["Power Company"],
|
||||
}
|
||||
assert suggestions["document_types"] == {
|
||||
"existing_ids": [34],
|
||||
"new_names": ["Utility Bill"],
|
||||
}
|
||||
assert suggestions["storage_paths"] == {
|
||||
"existing_ids": [45],
|
||||
"new_names": ["Finance/Utilities"],
|
||||
}
|
||||
|
||||
|
||||
def test_document_classifier_schema_json_schema_is_self_contained():
|
||||
@@ -50,23 +89,20 @@ def test_document_classifier_schema_json_schema_is_self_contained():
|
||||
WHEN:
|
||||
- Its JSON schema is generated via model_json_schema()
|
||||
THEN:
|
||||
- No $defs section and no $ref at any depth survives in the schema
|
||||
- Each taxonomy property carries existing_ids/new_names inline
|
||||
- The schema contains no definitions, references, or nested objects
|
||||
- Every response field is a scalar or flat array
|
||||
|
||||
Regression guard: Google's function-declaration schema rejects the $ref
|
||||
Pydantic normally emits for the nested TaxonomyChoice model.
|
||||
This keeps the function declaration compatible with backends that reject
|
||||
JSON Schema references and with smaller models that struggle with nesting.
|
||||
"""
|
||||
schema = DocumentClassifierSchema.model_json_schema()
|
||||
|
||||
assert "$defs" not in schema
|
||||
assert "$ref" not in json.dumps(schema)
|
||||
for field in ("tags", "correspondents", "document_types", "storage_paths"):
|
||||
field_schema = schema["properties"][field]
|
||||
assert "$ref" not in field_schema
|
||||
assert set(field_schema["properties"].keys()) == {
|
||||
"existing_ids",
|
||||
"new_names",
|
||||
}
|
||||
assert all(
|
||||
field_schema.get("type") != "object"
|
||||
for field_schema in schema["properties"].values()
|
||||
)
|
||||
|
||||
|
||||
def test_every_field_describes_itself_to_the_model():
|
||||
@@ -76,8 +112,7 @@ def test_every_field_describes_itself_to_the_model():
|
||||
WHEN:
|
||||
- Its JSON schema is generated via model_json_schema()
|
||||
THEN:
|
||||
- Every property, and every property of each inlined TaxonomyChoice,
|
||||
carries a non-empty description
|
||||
- Every property carries a non-empty description
|
||||
|
||||
In tool-calling mode the schema is most of what tells the model how to
|
||||
fill these fields; on field names alone, small models can bin tags and
|
||||
@@ -86,48 +121,14 @@ def test_every_field_describes_itself_to_the_model():
|
||||
schema = DocumentClassifierSchema.model_json_schema()
|
||||
|
||||
undescribed = [
|
||||
f"{owner}.{name}"
|
||||
for owner, definition in [
|
||||
("DocumentClassifierSchema", schema),
|
||||
*(
|
||||
(name, prop)
|
||||
for name, prop in schema["properties"].items()
|
||||
if prop.get("type") == "object"
|
||||
),
|
||||
]
|
||||
for name, prop in definition.get("properties", {}).items()
|
||||
name
|
||||
for name, prop in schema["properties"].items()
|
||||
if not prop.get("description")
|
||||
]
|
||||
|
||||
assert undescribed == []
|
||||
|
||||
|
||||
def test_inlining_keeps_each_taxonomy_fields_own_description():
|
||||
"""
|
||||
GIVEN:
|
||||
- The DocumentClassifierSchema pydantic model
|
||||
WHEN:
|
||||
- Its JSON schema is generated via model_json_schema()
|
||||
THEN:
|
||||
- Each taxonomy field keeps its own description, not the shared one
|
||||
- The inlined TaxonomyChoice properties survive underneath it
|
||||
|
||||
Pydantic emits a field's description as a sibling of its $ref, so
|
||||
replacing the property outright collapses all four onto TaxonomyChoice's
|
||||
docstring - which still passes a "has a description" check.
|
||||
"""
|
||||
properties = DocumentClassifierSchema.model_json_schema()["properties"]
|
||||
|
||||
taxonomy_fields = ("tags", "correspondents", "document_types", "storage_paths")
|
||||
descriptions = {
|
||||
field: properties[field]["description"] for field in taxonomy_fields
|
||||
}
|
||||
|
||||
assert len(set(descriptions.values())) == len(taxonomy_fields)
|
||||
for field in taxonomy_fields:
|
||||
assert properties[field]["properties"]["existing_ids"]["description"]
|
||||
|
||||
|
||||
def test_every_sequence_in_the_emitted_schema_is_bounded():
|
||||
"""
|
||||
GIVEN:
|
||||
@@ -135,22 +136,13 @@ def test_every_sequence_in_the_emitted_schema_is_bounded():
|
||||
WHEN:
|
||||
- Its JSON schema is generated via model_json_schema()
|
||||
THEN:
|
||||
- Every array property in the schema, including those on each
|
||||
inlined TaxonomyChoice, carries a maxItems
|
||||
- Every array property in the schema carries a maxItems
|
||||
"""
|
||||
schema = DocumentClassifierSchema.model_json_schema()
|
||||
|
||||
unbounded = [
|
||||
f"{owner}.{name}"
|
||||
for owner, definition in [
|
||||
("DocumentClassifierSchema", schema),
|
||||
*(
|
||||
(name, prop)
|
||||
for name, prop in schema["properties"].items()
|
||||
if prop.get("type") == "object"
|
||||
),
|
||||
]
|
||||
for name, prop in definition.get("properties", {}).items()
|
||||
name
|
||||
for name, prop in schema["properties"].items()
|
||||
if prop.get("type") == "array" and "maxItems" not in prop
|
||||
]
|
||||
|
||||
@@ -182,17 +174,15 @@ def test_over_long_response_is_truncated_rather_than_rejected():
|
||||
"""
|
||||
parsed = DocumentClassifierSchema(
|
||||
title="T" * (MAX_TITLE_LENGTH + 50),
|
||||
tags=TaxonomyChoice(
|
||||
existing_ids=list(range(MAX_EXISTING_IDS + 20)),
|
||||
new_names=["n"] * (MAX_NEW_NAMES + 20),
|
||||
),
|
||||
tags=["n"] * (MAX_NEW_NAMES + 20),
|
||||
tag_ids=list(range(MAX_EXISTING_IDS + 20)),
|
||||
dates=[f"2016-{month:02d}-01" for month in range(1, 13)],
|
||||
)
|
||||
|
||||
assert len(parsed.title) == MAX_TITLE_LENGTH
|
||||
assert len(parsed.dates) == MAX_DATES
|
||||
assert len(parsed.tags.existing_ids) == MAX_EXISTING_IDS
|
||||
assert len(parsed.tags.new_names) == MAX_NEW_NAMES
|
||||
assert len(parsed.tag_ids) == MAX_EXISTING_IDS
|
||||
assert len(parsed.tags) == MAX_NEW_NAMES
|
||||
|
||||
|
||||
def test_truncation_keeps_the_earliest_entries():
|
||||
@@ -212,24 +202,48 @@ def test_truncation_keeps_the_earliest_entries():
|
||||
assert parsed.dates == ["2016-10-01", "2016-09-01", "2016-08-01"]
|
||||
|
||||
|
||||
def test_model_dump_matches_typed_dict_keys():
|
||||
def test_model_conversion_matches_internal_typed_dict_keys():
|
||||
"""
|
||||
GIVEN:
|
||||
- A DocumentClassifierSchema instance
|
||||
WHEN:
|
||||
- It is dumped to a dict via model_dump()
|
||||
- It is converted to ClassificationSuggestions
|
||||
THEN:
|
||||
- The dumped dict's keys exactly match ClassificationSuggestions'
|
||||
- The converted dict's keys exactly match ClassificationSuggestions'
|
||||
declared keys
|
||||
- The dumped tags dict's keys exactly match TaxonomyChoiceDict's
|
||||
- The converted tags dict's keys exactly match TaxonomyChoiceDict's
|
||||
declared keys
|
||||
"""
|
||||
# TaxonomyChoiceDict/ClassificationSuggestions are the static-typing
|
||||
# counterparts of TaxonomyChoice/DocumentClassifierSchema - this pins
|
||||
# down that .model_dump()'s actual runtime keys are exactly what the
|
||||
# TypedDicts declare, so the two don't silently drift apart.
|
||||
schema = DocumentClassifierSchema(title="T", tags=TaxonomyChoice(existing_ids=[1]))
|
||||
dumped = schema.model_dump()
|
||||
schema = DocumentClassifierSchema(title="T", tags=["Tag"], tag_ids=[1])
|
||||
suggestions = model_to_classification_suggestions(schema)
|
||||
|
||||
assert set(dumped.keys()) == set(ClassificationSuggestions.__annotations__.keys())
|
||||
assert set(dumped["tags"].keys()) == set(TaxonomyChoiceDict.__annotations__.keys())
|
||||
assert set(suggestions.keys()) == set(
|
||||
ClassificationSuggestions.__annotations__.keys(),
|
||||
)
|
||||
assert set(suggestions["tags"].keys()) == set(
|
||||
TaxonomyChoiceDict.__annotations__.keys(),
|
||||
)
|
||||
|
||||
|
||||
def test_internal_suggestions_round_trip_through_flat_model():
|
||||
suggestions = ClassificationSuggestions(
|
||||
title="Electricity Bill",
|
||||
tags=TaxonomyChoiceDict(existing_ids=[1], new_names=["Utilities"]),
|
||||
correspondents=TaxonomyChoiceDict(
|
||||
existing_ids=[2],
|
||||
new_names=["Power Company"],
|
||||
),
|
||||
document_types=TaxonomyChoiceDict(
|
||||
existing_ids=[3],
|
||||
new_names=["Utility Bill"],
|
||||
),
|
||||
storage_paths=TaxonomyChoiceDict(
|
||||
existing_ids=[4],
|
||||
new_names=["Finance/Utilities"],
|
||||
),
|
||||
dates=["2026-08-30"],
|
||||
)
|
||||
|
||||
model = classification_suggestions_to_model(suggestions)
|
||||
|
||||
assert model_to_classification_suggestions(model) == suggestions
|
||||
|
||||
@@ -123,10 +123,14 @@ def test_run_llm_query_ollama_uses_structured_json(mock_ai_config, mock_ollama_l
|
||||
mock_llm_instance.chat.return_value.message.content = json.dumps(
|
||||
{
|
||||
"title": "Test Title",
|
||||
"tags": {"existing_ids": [1], "new_names": ["document"]},
|
||||
"correspondents": {"existing_ids": [], "new_names": ["John Doe"]},
|
||||
"document_types": {"existing_ids": [], "new_names": ["report"]},
|
||||
"storage_paths": {"existing_ids": [], "new_names": ["Reports"]},
|
||||
"tags": ["document"],
|
||||
"tag_ids": [1],
|
||||
"correspondents": ["John Doe"],
|
||||
"correspondent_ids": [],
|
||||
"document_types": ["report"],
|
||||
"document_type_ids": [],
|
||||
"storage_paths": ["Reports"],
|
||||
"storage_path_ids": [],
|
||||
"dates": ["2023-01-01"],
|
||||
},
|
||||
)
|
||||
@@ -156,10 +160,14 @@ def test_run_llm_query_openai_uses_tools(mock_ai_config, mock_openai_llm):
|
||||
tool_name="DocumentClassifierSchema",
|
||||
tool_kwargs={
|
||||
"title": "Test Title",
|
||||
"tags": {"existing_ids": [1], "new_names": ["document"]},
|
||||
"correspondents": {"existing_ids": [], "new_names": ["John Doe"]},
|
||||
"document_types": {"existing_ids": [], "new_names": ["report"]},
|
||||
"storage_paths": {"existing_ids": [], "new_names": ["Reports"]},
|
||||
"tags": ["document"],
|
||||
"tag_ids": [1],
|
||||
"correspondents": ["John Doe"],
|
||||
"correspondent_ids": [],
|
||||
"document_types": ["report"],
|
||||
"document_type_ids": [],
|
||||
"storage_paths": ["Reports"],
|
||||
"storage_path_ids": [],
|
||||
"dates": ["2023-01-01"],
|
||||
},
|
||||
)
|
||||
|
||||
Reference in New Issue
Block a user