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3 Commits

Author SHA1 Message Date
Trenton H
f79a0ae899 Updates the baselines for the latest code changes 2026-03-03 10:28:12 -08:00
dependabot[bot]
9c0f112e94 docker(deps): Bump astral-sh/uv (#12191)
Bumps [astral-sh/uv](https://github.com/astral-sh/uv) from 0.10.5-python3.12-trixie-slim to 0.10.7-python3.12-trixie-slim.
- [Release notes](https://github.com/astral-sh/uv/releases)
- [Changelog](https://github.com/astral-sh/uv/blob/main/CHANGELOG.md)
- [Commits](https://github.com/astral-sh/uv/compare/0.10.5...0.10.7)

---
updated-dependencies:
- dependency-name: astral-sh/uv
  dependency-version: 0.10.7-python3.12-trixie-slim
  dependency-type: direct:production
  update-type: version-update:semver-patch
...

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-03-03 07:56:35 -08:00
Trenton H
43406f44f2 Feature: Improve the retagger output using rich (#12194) 2026-03-03 07:14:59 -08:00
50 changed files with 6093 additions and 3783 deletions

View File

@@ -264,6 +264,7 @@ src/documents/management/commands/document_exporter.py:0: error: Function is mis
src/documents/management/commands/document_exporter.py:0: error: Incompatible types in assignment (expression has type "str", variable has type "Path") [assignment]
src/documents/management/commands/document_exporter.py:0: error: Invalid index type "str" for "str"; expected type "SupportsIndex | slice[Any, Any, Any]" [index]
src/documents/management/commands/document_exporter.py:0: error: Invalid index type "str" for "str"; expected type "SupportsIndex | slice[Any, Any, Any]" [index]
src/documents/management/commands/document_exporter.py:0: error: Library stubs not installed for "tqdm" [import-untyped]
src/documents/management/commands/document_exporter.py:0: error: Missing type parameters for generic type "QuerySet" [type-arg]
src/documents/management/commands/document_exporter.py:0: error: Missing type parameters for generic type "dict" [type-arg]
src/documents/management/commands/document_exporter.py:0: error: Missing type parameters for generic type "dict" [type-arg]
@@ -282,23 +283,18 @@ src/documents/management/commands/document_importer.py:0: error: Function is mis
src/documents/management/commands/document_importer.py:0: error: Incompatible types in assignment (expression has type "str | None", base class "CryptMixin" defined the type as "str") [assignment]
src/documents/management/commands/document_importer.py:0: error: Invalid index type "str" for "str"; expected type "SupportsIndex | slice[Any, Any, Any]" [index]
src/documents/management/commands/document_importer.py:0: error: Invalid index type "str" for "str"; expected type "SupportsIndex | slice[Any, Any, Any]" [index]
src/documents/management/commands/document_importer.py:0: error: Library stubs not installed for "tqdm" [import-untyped]
src/documents/management/commands/document_importer.py:0: error: Missing type parameters for generic type "Generator" [type-arg]
src/documents/management/commands/document_importer.py:0: error: Missing type parameters for generic type "dict" [type-arg]
src/documents/management/commands/document_importer.py:0: error: Need type annotation for "manifest_paths" (hint: "manifest_paths: list[<type>] = ...") [var-annotated]
src/documents/management/commands/document_importer.py:0: error: Skipping analyzing "auditlog.registry": module is installed, but missing library stubs or py.typed marker [import-untyped]
src/documents/management/commands/document_index.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/management/commands/document_index.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/management/commands/document_llmindex.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/management/commands/document_llmindex.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/management/commands/document_renamer.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/management/commands/document_renamer.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/management/commands/document_retagger.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/management/commands/document_retagger.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/management/commands/document_sanity_checker.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/management/commands/document_sanity_checker.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/management/commands/document_retagger.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/management/commands/document_retagger.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/management/commands/document_thumbnails.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/management/commands/document_thumbnails.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/management/commands/document_thumbnails.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/management/commands/loaddata_stdin.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/management/commands/loaddata_stdin.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/management/commands/loaddata_stdin.py:0: error: Incompatible types in assignment (expression has type "tuple[Callable[[Any, Any], TextIO | Any], None]", target has type "tuple[Callable[[str, Literal['r', 'rb']], BufferedReader[_BufferedReaderStream]]]") [assignment]
@@ -308,11 +304,8 @@ src/documents/management/commands/mixins.py:0: error: Attribute "kdf_algorithm"
src/documents/management/commands/mixins.py:0: error: Attribute "key_iterations" already defined on line 0 [no-redef]
src/documents/management/commands/mixins.py:0: error: Attribute "key_size" already defined on line 0 [no-redef]
src/documents/management/commands/mixins.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/management/commands/mixins.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/management/commands/mixins.py:0: error: Incompatible types in assignment (expression has type "list[dict[str, Sequence[str]]]", variable has type "CryptFields") [assignment]
src/documents/management/commands/mixins.py:0: error: Missing type parameters for generic type "dict" [type-arg]
src/documents/management/commands/mixins.py:0: error: Unsupported operand types for // ("None" and "int") [operator]
src/documents/management/commands/prune_audit_logs.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/management/commands/prune_audit_logs.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/management/commands/prune_audit_logs.py:0: error: Skipping analyzing "auditlog.models": module is installed, but missing library stubs or py.typed marker [import-untyped]
src/documents/matching.py:0: error: Argument 1 to "existing_document_matches_workflow" has incompatible type "ConsumableDocument | Document"; expected "Document" [arg-type]
@@ -448,18 +441,7 @@ src/documents/plugins/helpers.py:0: error: Function is missing a type annotation
src/documents/plugins/helpers.py:0: error: Skipping analyzing "channels_redis.pubsub": module is installed, but missing library stubs or py.typed marker [import-untyped]
src/documents/regex.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/regex.py:0: error: Library stubs not installed for "regex" [import-untyped]
src/documents/sanity_checker.py:0: error: Argument 1 to "Path" has incompatible type "Path | None"; expected "str | PathLike[str]" [arg-type]
src/documents/sanity_checker.py:0: error: Cannot use Final inside a loop [misc]
src/documents/sanity_checker.py:0: error: Cannot use Final inside a loop [misc]
src/documents/sanity_checker.py:0: error: Cannot use Final inside a loop [misc]
src/documents/sanity_checker.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/sanity_checker.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/sanity_checker.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/sanity_checker.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/sanity_checker.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/sanity_checker.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/sanity_checker.py:0: error: Incompatible type for "task_id" of "PaperlessTask" (got "UUID", expected "str | int | Combinable") [misc]
src/documents/sanity_checker.py:0: error: Missing type parameters for generic type "dict" [type-arg]
src/documents/schema.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/schema.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/schema.py:0: error: Function is missing a type annotation [no-untyped-def]
@@ -550,6 +532,8 @@ src/documents/serialisers.py:0: error: Function is missing a type annotation [n
src/documents/serialisers.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/serialisers.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/serialisers.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/serialisers.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/serialisers.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/serialisers.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/serialisers.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/serialisers.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
@@ -640,6 +624,7 @@ src/documents/serialisers.py:0: error: Missing type parameters for generic type
src/documents/serialisers.py:0: error: Missing type parameters for generic type "Serializer" [type-arg]
src/documents/serialisers.py:0: error: Missing type parameters for generic type "Serializer" [type-arg]
src/documents/serialisers.py:0: error: Missing type parameters for generic type "Serializer" [type-arg]
src/documents/serialisers.py:0: error: Missing type parameters for generic type "Serializer" [type-arg]
src/documents/serialisers.py:0: error: Missing type parameters for generic type "dict" [type-arg]
src/documents/serialisers.py:0: error: Missing type parameters for generic type "dict" [type-arg]
src/documents/serialisers.py:0: error: Need type annotation for "document" [var-annotated]
@@ -664,9 +649,6 @@ src/documents/signals/handlers.py:0: error: Argument 2 to "match_storage_paths"
src/documents/signals/handlers.py:0: error: Argument 2 to "match_tags" has incompatible type "DocumentClassifier | None"; expected "DocumentClassifier" [arg-type]
src/documents/signals/handlers.py:0: error: Argument 2 to "validate_move" has incompatible type "Path | Any | None"; expected "Path" [arg-type]
src/documents/signals/handlers.py:0: error: Argument 3 to "validate_move" has incompatible type "Path | Any | None"; expected "Path" [arg-type]
src/documents/signals/handlers.py:0: error: Argument 5 to "_suggestion_printer" has incompatible type "Any | None"; expected "MatchingModel" [arg-type]
src/documents/signals/handlers.py:0: error: Argument 5 to "_suggestion_printer" has incompatible type "Any | None"; expected "MatchingModel" [arg-type]
src/documents/signals/handlers.py:0: error: Argument 5 to "_suggestion_printer" has incompatible type "Any | None"; expected "MatchingModel" [arg-type]
src/documents/signals/handlers.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/signals/handlers.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/signals/handlers.py:0: error: Function is missing a type annotation [no-untyped-def]
@@ -686,12 +668,6 @@ src/documents/signals/handlers.py:0: error: Function is missing a type annotatio
src/documents/signals/handlers.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/signals/handlers.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/signals/handlers.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/signals/handlers.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/signals/handlers.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/signals/handlers.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/signals/handlers.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/signals/handlers.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/signals/handlers.py:0: error: Incompatible types in assignment (expression has type "list[Tag]", variable has type "set[Tag]") [assignment]
src/documents/signals/handlers.py:0: error: Incompatible types in assignment (expression has type "tuple[Any, Any, Any]", variable has type "tuple[Any, Any]") [assignment]
src/documents/signals/handlers.py:0: error: Item "ConsumableDocument" of "Document | ConsumableDocument" has no attribute "save" [union-attr]
src/documents/signals/handlers.py:0: error: Item "ConsumableDocument" of "Document | ConsumableDocument" has no attribute "source_path" [union-attr]
@@ -719,7 +695,6 @@ src/documents/tasks.py:0: error: Function is missing a type annotation for one o
src/documents/tasks.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tasks.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tasks.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tasks.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tasks.py:0: error: Incompatible type for "task_id" of "PaperlessTask" (got "UUID", expected "str | int | Combinable") [misc]
src/documents/tasks.py:0: error: Incompatible type for "task_id" of "PaperlessTask" (got "UUID", expected "str | int | Combinable") [misc]
src/documents/tasks.py:0: error: Incompatible types in assignment (expression has type "Path", variable has type "str") [assignment]
@@ -746,8 +721,80 @@ src/documents/templating/utils.py:0: error: Function is missing a type annotatio
src/documents/templating/workflows.py:0: error: Incompatible return value type (got "None", expected "str") [return-value]
src/documents/tests/conftest.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/conftest.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/conftest.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/conftest.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/conftest.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tests/conftest.py:0: error: Incompatible return value type (got "DocumentFactory", expected "Document") [return-value]
src/documents/tests/factories.py:0: error: Missing type parameters for generic type "DjangoModelFactory" [type-arg]
src/documents/tests/factories.py:0: error: Missing type parameters for generic type "DjangoModelFactory" [type-arg]
src/documents/tests/factories.py:0: error: Missing type parameters for generic type "DjangoModelFactory" [type-arg]
src/documents/tests/factories.py:0: error: Missing type parameters for generic type "DjangoModelFactory" [type-arg]
src/documents/tests/factories.py:0: error: Missing type parameters for generic type "DjangoModelFactory" [type-arg]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tests/management/test_management_base_cmd.py:0: error: Incompatible types in assignment (expression has type "StringIO", variable has type "OutputWrapper") [assignment]
src/documents/tests/management/test_management_base_cmd.py:0: error: Incompatible types in assignment (expression has type "StringIO", variable has type "OutputWrapper") [assignment]
src/documents/tests/management/test_management_base_cmd.py:0: error: Incompatible types in assignment (expression has type "StringIO", variable has type "OutputWrapper") [assignment]
src/documents/tests/management/test_management_base_cmd.py:0: error: Incompatible types in assignment (expression has type "StringIO", variable has type "OutputWrapper") [assignment]
src/documents/tests/management/test_management_base_cmd.py:0: error: Incompatible types in assignment (expression has type "StringIO", variable has type "OutputWrapper") [assignment]
src/documents/tests/management/test_management_base_cmd.py:0: error: Incompatible types in assignment (expression has type "StringIO", variable has type "OutputWrapper") [assignment]
src/documents/tests/management/test_management_base_cmd.py:0: error: Incompatible types in assignment (expression has type "StringIO", variable has type "OutputWrapper") [assignment]
src/documents/tests/management/test_management_base_cmd.py:0: error: Incompatible types in assignment (expression has type "StringIO", variable has type "OutputWrapper") [assignment]
src/documents/tests/management/test_management_base_cmd.py:0: error: Incompatible types in assignment (expression has type "StringIO", variable has type "OutputWrapper") [assignment]
src/documents/tests/management/test_management_base_cmd.py:0: error: Incompatible types in assignment (expression has type "StringIO", variable has type "OutputWrapper") [assignment]
src/documents/tests/management/test_management_base_cmd.py:0: error: Incompatible types in assignment (expression has type "StringIO", variable has type "OutputWrapper") [assignment]
src/documents/tests/management/test_management_base_cmd.py:0: error: Incompatible types in assignment (expression has type "StringIO", variable has type "OutputWrapper") [assignment]
src/documents/tests/management/test_management_base_cmd.py:0: error: Incompatible types in assignment (expression has type "StringIO", variable has type "OutputWrapper") [assignment]
src/documents/tests/management/test_management_base_cmd.py:0: error: Incompatible types in assignment (expression has type "StringIO", variable has type "OutputWrapper") [assignment]
src/documents/tests/management/test_management_base_cmd.py:0: error: Missing type parameters for generic type "QuerySet" [type-arg]
src/documents/tests/management/test_management_base_cmd.py:0: error: Missing type parameters for generic type "dict" [type-arg]
src/documents/tests/management/test_management_base_cmd.py:0: error: Missing type parameters for generic type "dict" [type-arg]
src/documents/tests/management/test_management_base_cmd.py:0: error: Missing type parameters for generic type "dict" [type-arg]
src/documents/tests/management/test_management_base_cmd.py:0: error: Missing type parameters for generic type "dict" [type-arg]
src/documents/tests/management/test_management_base_cmd.py:0: error: Missing type parameters for generic type "dict" [type-arg]
src/documents/tests/management/test_management_base_cmd.py:0: error: Missing type parameters for generic type "dict" [type-arg]
src/documents/tests/management/test_management_base_cmd.py:0: error: Missing type parameters for generic type "list" [type-arg]
src/documents/tests/management/test_management_base_cmd.py:0: error: Need type annotation for "result" [var-annotated]
src/documents/tests/management/test_management_base_cmd.py:0: error: Need type annotation for "result" (hint: "result: list[<type>] = ...") [var-annotated]
src/documents/tests/management/test_management_base_cmd.py:0: error: Need type annotation for "results" [var-annotated]
src/documents/tests/management/test_management_sanity_checker.py:0: error: "DocumentFactory" has no attribute "source_path"; maybe "storage_path"? [attr-defined]
src/documents/tests/management/test_management_sanity_checker.py:0: error: "DocumentFactory" has no attribute "thumbnail_path" [attr-defined]
src/documents/tests/test_admin.py:0: error: "PaperlessUserForm" has no attribute "request" [attr-defined]
src/documents/tests/test_admin.py:0: error: "PaperlessUserForm" has no attribute "request" [attr-defined]
src/documents/tests/test_admin.py:0: error: Function is missing a type annotation [no-untyped-def]
@@ -775,6 +822,7 @@ src/documents/tests/test_api_app_config.py:0: error: Item "None" of "Application
src/documents/tests/test_api_bulk_download.py:0: error: Value of type variable "_StrPathT" of "copy" cannot be "Path | None" [type-var]
src/documents/tests/test_api_bulk_edit.py:0: error: "type[MatchingModel]" has no attribute "objects" [attr-defined]
src/documents/tests/test_api_bulk_edit.py:0: error: "type[MatchingModel]" has no attribute "objects" [attr-defined]
src/documents/tests/test_api_bulk_edit.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/test_api_bulk_edit.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tests/test_api_bulk_edit.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tests/test_api_bulk_edit.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
@@ -827,8 +875,10 @@ src/documents/tests/test_api_custom_fields.py:0: error: Value of type "Any | Non
src/documents/tests/test_api_documents.py:0: error: "None" object is not iterable [misc]
src/documents/tests/test_api_documents.py:0: error: "object" has no attribute "get" [attr-defined]
src/documents/tests/test_api_documents.py:0: error: Argument 1 to "Path" has incompatible type "Path | None"; expected "str | PathLike[str]" [arg-type]
src/documents/tests/test_api_documents.py:0: error: Argument 1 to "Path" has incompatible type "Path | None"; expected "str | PathLike[str]" [arg-type]
src/documents/tests/test_api_documents.py:0: error: Argument 1 to "assertCountEqual" of "TestCase" has incompatible type "list[int] | None"; expected "Iterable[Any]" [arg-type]
src/documents/tests/test_api_documents.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/test_api_documents.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/test_api_documents.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/tests/test_api_documents.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/tests/test_api_documents.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
@@ -1173,7 +1223,20 @@ src/documents/tests/test_management_exporter.py:0: error: Function is missing a
src/documents/tests/test_management_exporter.py:0: error: Item "None" of "MailAccount | None" has no attribute "password" [union-attr]
src/documents/tests/test_management_exporter.py:0: error: Skipping analyzing "allauth.socialaccount.models": module is installed, but missing library stubs or py.typed marker [import-untyped]
src/documents/tests/test_management_fuzzy.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/tests/test_management_retagger.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/test_management_retagger.py:0: error: "DocumentFactory" has no attribute "refresh_from_db" [attr-defined]
src/documents/tests/test_management_retagger.py:0: error: "DocumentFactory" has no attribute "refresh_from_db" [attr-defined]
src/documents/tests/test_management_retagger.py:0: error: "DocumentFactory" has no attribute "refresh_from_db" [attr-defined]
src/documents/tests/test_management_retagger.py:0: error: "DocumentFactory" has no attribute "tags" [attr-defined]
src/documents/tests/test_management_retagger.py:0: error: "DocumentFactory" has no attribute "tags" [attr-defined]
src/documents/tests/test_management_retagger.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tests/test_management_retagger.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tests/test_management_retagger.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tests/test_management_retagger.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tests/test_management_retagger.py:0: error: Incompatible return value type (got "tuple[CorrespondentFactory, CorrespondentFactory]", expected "tuple[Correspondent, Correspondent]") [return-value]
src/documents/tests/test_management_retagger.py:0: error: Incompatible return value type (got "tuple[DocumentFactory, DocumentFactory, DocumentFactory, DocumentFactory]", expected "tuple[Document, Document, Document, Document]") [return-value]
src/documents/tests/test_management_retagger.py:0: error: Incompatible return value type (got "tuple[DocumentTypeFactory, DocumentTypeFactory]", expected "tuple[DocumentType, DocumentType]") [return-value]
src/documents/tests/test_management_retagger.py:0: error: Incompatible return value type (got "tuple[StoragePathFactory, StoragePathFactory, StoragePathFactory]", expected "tuple[StoragePath, StoragePath, StoragePath]") [return-value]
src/documents/tests/test_management_retagger.py:0: error: Incompatible return value type (got "tuple[TagFactory, TagFactory, TagFactory, TagFactory, TagFactory]", expected "tuple[Tag, Tag, Tag, Tag, Tag]") [return-value]
src/documents/tests/test_management_superuser.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/tests/test_migration_share_link_bundle.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tests/test_migration_share_link_bundle.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
@@ -1190,9 +1253,10 @@ src/documents/tests/test_parsers.py:0: error: Function is missing a type annotat
src/documents/tests/test_parsers.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tests/test_parsers.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tests/test_parsers.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tests/test_sanity_check.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/documents/tests/test_sanity_check.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tests/test_sanity_check.py:0: error: Invalid index type "None" for "dict[int, list[dict[Any, Any]]]"; expected type "int" [index]
src/documents/tests/test_sanity_check.py:0: error: Argument 1 to "Path" has incompatible type "Path | None"; expected "str | PathLike[str]" [arg-type]
src/documents/tests/test_sanity_check.py:0: error: Argument 1 to "Path" has incompatible type "Path | None"; expected "str | PathLike[str]" [arg-type]
src/documents/tests/test_sanity_check.py:0: error: Argument 1 to "Path" has incompatible type "Path | None"; expected "str | PathLike[str]" [arg-type]
src/documents/tests/test_sanity_check.py:0: error: Unsupported right operand type for in ("str | None") [operator]
src/documents/tests/test_share_link_bundles.py:0: error: "_MonkeyPatchedResponse" has no attribute "streaming_content" [attr-defined]
src/documents/tests/test_share_link_bundles.py:0: error: Argument 1 to "ZipFile" has incompatible type "Path | None"; expected "str | PathLike[str] | IO[bytes]" [arg-type]
src/documents/tests/test_share_link_bundles.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
@@ -1223,10 +1287,6 @@ src/documents/tests/test_tasks.py:0: error: Function is missing a type annotatio
src/documents/tests/test_tasks.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tests/test_tasks.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tests/test_tasks.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tests/test_tasks.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tests/test_tasks.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tests/test_tasks.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tests/test_tasks.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/tests/test_views.py:0: error: "_MonkeyPatchedWSGIResponse" has no attribute "render" [attr-defined]
src/documents/tests/test_views.py:0: error: "_MonkeyPatchedWSGIResponse" has no attribute "render" [attr-defined]
src/documents/tests/test_views.py:0: error: "_MonkeyPatchedWSGIResponse" has no attribute "url" [attr-defined]
@@ -1534,7 +1594,6 @@ src/documents/views.py:0: error: "get_serializer_context" undefined in superclas
src/documents/views.py:0: error: "object" not callable [operator]
src/documents/views.py:0: error: "type[Model]" has no attribute "objects" [attr-defined]
src/documents/views.py:0: error: Argument "path" to "EmailAttachment" has incompatible type "Path | None"; expected "Path" [arg-type]
src/documents/views.py:0: error: Argument 1 to "int" has incompatible type "str | None"; expected "str | Buffer | SupportsInt | SupportsIndex | SupportsTrunc" [arg-type]
src/documents/views.py:0: error: Argument 2 to "match_correspondents" has incompatible type "DocumentClassifier | None"; expected "DocumentClassifier" [arg-type]
src/documents/views.py:0: error: Argument 2 to "match_document_types" has incompatible type "DocumentClassifier | None"; expected "DocumentClassifier" [arg-type]
src/documents/views.py:0: error: Argument 2 to "match_storage_paths" has incompatible type "DocumentClassifier | None"; expected "DocumentClassifier" [arg-type]
@@ -1609,6 +1668,8 @@ src/documents/views.py:0: error: Function is missing a type annotation [no-unty
src/documents/views.py:0: error: Function is missing a type annotation [no-untyped-def]
src/documents/views.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/views.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/views.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/views.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/documents/views.py:0: error: Incompatible type for lookup 'owner': (got "User | AnonymousUser", expected "User | int | None") [misc]
src/documents/views.py:0: error: Incompatible types in assignment (expression has type "Any | None", variable has type "dict[Any, Any]") [assignment]
src/documents/views.py:0: error: Incompatible types in assignment (expression has type "QuerySet[Any, Any]", variable has type "list[Any]") [assignment]
@@ -1864,39 +1925,54 @@ src/paperless/serialisers.py:0: error: Skipping analyzing "allauth.mfa.adapter":
src/paperless/serialisers.py:0: error: Skipping analyzing "allauth.mfa.models": module is installed, but missing library stubs or py.typed marker [import-untyped]
src/paperless/serialisers.py:0: error: Skipping analyzing "allauth.mfa.totp.internal.auth": module is installed, but missing library stubs or py.typed marker [import-untyped]
src/paperless/serialisers.py:0: error: Skipping analyzing "allauth.socialaccount.models": module is installed, but missing library stubs or py.typed marker [import-untyped]
src/paperless/settings.py:0: error: "Sequence[str]" has no attribute "append" [attr-defined]
src/paperless/settings.py:0: error: "Sequence[str]" has no attribute "insert" [attr-defined]
src/paperless/settings.py:0: error: "object" has no attribute "update" [attr-defined]
src/paperless/settings.py:0: error: "object" has no attribute "update" [attr-defined]
src/paperless/settings.py:0: error: "object" has no attribute "update" [attr-defined]
src/paperless/settings.py:0: error: "object" has no attribute "update" [attr-defined]
src/paperless/settings.py:0: error: Argument 1 to "_parse_ignore_dates" has incompatible type "str | None"; expected "str" [arg-type]
src/paperless/settings.py:0: error: Argument 1 to "append" of "list" has incompatible type "str | None"; expected "str" [arg-type]
src/paperless/settings.py:0: error: Argument 1 to "int" has incompatible type "str | None"; expected "str | Buffer | SupportsInt | SupportsIndex | SupportsTrunc" [arg-type]
src/paperless/settings.py:0: error: Argument 1 to "int" has incompatible type "str | None"; expected "str | Buffer | SupportsInt | SupportsIndex | SupportsTrunc" [arg-type]
src/paperless/settings.py:0: error: Argument 1 to "int" has incompatible type "str | None"; expected "str | Buffer | SupportsInt | SupportsIndex | SupportsTrunc" [arg-type]
src/paperless/settings.py:0: error: Argument 1 to "int" has incompatible type "str | None"; expected "str | Buffer | SupportsInt | SupportsIndex | SupportsTrunc" [arg-type]
src/paperless/settings.py:0: error: Argument 2 to "__get_path" has incompatible type "str | None"; expected "PathLike[Any] | str" [arg-type]
src/paperless/settings.py:0: error: Argument 2 to "getenv" has incompatible type "None"; expected "Collection[str]" [arg-type]
src/paperless/settings.py:0: error: Argument 2 to "getenv" has incompatible type "None"; expected "Collection[str]" [arg-type]
src/paperless/settings.py:0: error: Argument 2 to "getenv" has incompatible type "None"; expected "Collection[str]" [arg-type]
src/paperless/settings.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/settings.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/settings.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/settings.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/settings.py:0: error: Function is missing a type annotation [no-untyped-def]
src/paperless/settings.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/paperless/settings.py:0: error: Incompatible return value type (got "set[date]", expected "set[datetime]") [return-value]
src/paperless/settings.py:0: error: Incompatible return value type (got "tuple[str | None, str, str, str, str]", expected "tuple[str, str, str, str, str]") [return-value]
src/paperless/settings.py:0: error: Incompatible types in assignment (expression has type "bool", variable has type "str") [assignment]
src/paperless/settings.py:0: error: Incompatible types in assignment (expression has type "set[datetime]", variable has type "set[date]") [assignment]
src/paperless/settings.py:0: error: Missing type parameters for generic type "PathLike" [type-arg]
src/paperless/settings.py:0: error: Missing type parameters for generic type "dict" [type-arg]
src/paperless/settings.py:0: error: Missing type parameters for generic type "dict" [type-arg]
src/paperless/settings.py:0: error: No overload variant of "getenv" matches argument types "Collection[str]", "Collection[str]" [call-overload]
src/paperless/settings.py:0: error: Skipping analyzing "compression_middleware.middleware": module is installed, but missing library stubs or py.typed marker [import-untyped]
src/paperless/settings/__init__.py:0: error: "Sequence[str]" has no attribute "append" [attr-defined]
src/paperless/settings/__init__.py:0: error: "Sequence[str]" has no attribute "insert" [attr-defined]
src/paperless/settings/__init__.py:0: error: Argument 1 to "_parse_ignore_dates" has incompatible type "str | None"; expected "str" [arg-type]
src/paperless/settings/__init__.py:0: error: Argument 1 to "append" of "list" has incompatible type "str | None"; expected "str" [arg-type]
src/paperless/settings/__init__.py:0: error: Argument 2 to "__get_path" has incompatible type "str | None"; expected "PathLike[Any] | str" [arg-type]
src/paperless/settings/__init__.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/settings/__init__.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/settings/__init__.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/settings/__init__.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/settings/__init__.py:0: error: Function is missing a type annotation [no-untyped-def]
src/paperless/settings/__init__.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/paperless/settings/__init__.py:0: error: Incompatible return value type (got "set[date]", expected "set[datetime]") [return-value]
src/paperless/settings/__init__.py:0: error: Incompatible return value type (got "tuple[str | None, str, str, str, str]", expected "tuple[str, str, str, str, str]") [return-value]
src/paperless/settings/__init__.py:0: error: Incompatible types in assignment (expression has type "bool", variable has type "str") [assignment]
src/paperless/settings/__init__.py:0: error: Incompatible types in assignment (expression has type "set[datetime]", variable has type "set[date]") [assignment]
src/paperless/settings/__init__.py:0: error: Missing type parameters for generic type "PathLike" [type-arg]
src/paperless/settings/__init__.py:0: error: Missing type parameters for generic type "dict" [type-arg]
src/paperless/settings/__init__.py:0: error: No overload variant of "getenv" matches argument types "Collection[str]", "Collection[str]" [call-overload]
src/paperless/settings/__init__.py:0: error: Skipping analyzing "compression_middleware.middleware": module is installed, but missing library stubs or py.typed marker [import-untyped]
src/paperless/settings/parsers.py:0: error: Incompatible types in assignment (expression has type "Path", variable has type "bool") [assignment]
src/paperless/settings/parsers.py:0: error: Missing type parameters for generic type "dict" [type-arg]
src/paperless/settings/parsers.py:0: error: Missing type parameters for generic type "dict" [type-arg]
src/paperless/settings/parsers.py:0: error: Missing type parameters for generic type "dict" [type-arg]
src/paperless/signals.py:0: error: Function is missing a type annotation [no-untyped-def]
src/paperless/signals.py:0: error: Function is missing a type annotation [no-untyped-def]
src/paperless/tests/settings/test_custom_parsers.py:0: error: Missing type parameters for generic type "dict" [type-arg]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a return type annotation [no-untyped-def]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a type annotation [no-untyped-def]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a type annotation [no-untyped-def]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a type annotation [no-untyped-def]
src/paperless/tests/settings/test_environment_parsers.py:0: error: Function is missing a type annotation [no-untyped-def]
src/paperless/tests/test_adapter.py:0: error: Cannot assign to a method [method-assign]
src/paperless/tests/test_adapter.py:0: error: Cannot assign to a method [method-assign]
src/paperless/tests/test_adapter.py:0: error: Cannot assign to a method [method-assign]
@@ -1904,6 +1980,12 @@ src/paperless/tests/test_adapter.py:0: error: Function is missing a type annotat
src/paperless/tests/test_adapter.py:0: error: Skipping analyzing "allauth.account.adapter": module is installed, but missing library stubs or py.typed marker [import-untyped]
src/paperless/tests/test_adapter.py:0: error: Skipping analyzing "allauth.core": module is installed, but missing library stubs or py.typed marker [import-untyped]
src/paperless/tests/test_adapter.py:0: error: Skipping analyzing "allauth.socialaccount.adapter": module is installed, but missing library stubs or py.typed marker [import-untyped]
src/paperless/tests/test_checks.py:0: error: Generator has incompatible item type "str | None"; expected "str" [misc]
src/paperless/tests/test_checks.py:0: error: Unsupported right operand type for in ("str | None") [operator]
src/paperless/tests/test_checks.py:0: error: Unsupported right operand type for in ("str | None") [operator]
src/paperless/tests/test_checks.py:0: error: Unsupported right operand type for in ("str | None") [operator]
src/paperless/tests/test_checks.py:0: error: Unsupported right operand type for in ("str | None") [operator]
src/paperless/tests/test_checks.py:0: error: Unsupported right operand type for in ("str | None") [operator]
src/paperless/tests/test_db_cache.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]
src/paperless/tests/test_db_cache.py:0: error: Skipping analyzing "cachalot.settings": module is installed, but missing library stubs or py.typed marker [import-untyped]
src/paperless/tests/test_settings.py:0: error: Function is missing a type annotation for one or more arguments [no-untyped-def]

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@@ -30,7 +30,7 @@ RUN set -eux \
# Purpose: Installs s6-overlay and rootfs
# Comments:
# - Don't leave anything extra in here either
FROM ghcr.io/astral-sh/uv:0.10.5-python3.12-trixie-slim AS s6-overlay-base
FROM ghcr.io/astral-sh/uv:0.10.7-python3.12-trixie-slim AS s6-overlay-base
WORKDIR /usr/src/s6

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@@ -7,9 +7,9 @@
<p align="center">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="https://github.com/paperless-ngx/paperless-ngx/blob/main/docs/assets/logo_full_white.png" width="50%">
<source media="(prefers-color-scheme: light)" srcset="https://github.com/paperless-ngx/paperless-ngx/blob/main/docs/assets/logo_full_black.png" width="50%">
<img src="https://github.com/paperless-ngx/paperless-ngx/blob/main/docs/assets/logo_full_black.png" width="50%">
<source media="(prefers-color-scheme: dark)" srcset="https://github.com/paperless-ngx/paperless-ngx/blob/main/resources/logo/web/png/White%20logo%20-%20no%20background.png" width="50%">
<source media="(prefers-color-scheme: light)" srcset="https://github.com/paperless-ngx/paperless-ngx/raw/main/resources/logo/web/png/Black%20logo%20-%20no%20background.png" width="50%">
<img src="https://github.com/paperless-ngx/paperless-ngx/raw/main/resources/logo/web/png/Black%20logo%20-%20no%20background.png" width="50%">
</picture>
</p>

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docs/assets/logo.svg Normal file
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@@ -0,0 +1,12 @@
<?xml version="1.0" encoding="utf-8"?>
<!-- Generator: Adobe Illustrator 27.0.1, SVG Export Plug-In . SVG Version: 6.00 Build 0) -->
<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
viewBox="0 0 1000 1000" style="enable-background:new 0 0 1000 1000;" xml:space="preserve">
<style type="text/css">
.st0{fill:#FFFFFF;}
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<div class="grid-left" markdown>
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![image](assets/logo_full_eee.svg#only-dark){.index-logo}
![image](assets/logo_full_white.svg#only-dark){.index-logo}
**Paperless-ngx** is a _community-supported_ open-source document management system that transforms your
physical documents into a searchable online archive so you can keep, well, _less paper_.

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testing = [
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"factory-boy~=3.3.1",
"faker~=40.5.1",
"imagehash",
"pytest~=9.0.0",
"pytest-cov~=7.0.0",

16
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View File

@@ -1,5 +1,5 @@
<pngx-page-header title="Dashboard" [subTitle]="subtitle" i18n-title tourAnchor="tour.dashboard">
<pngx-logo extra_classes="d-none d-md-block mt-n2" height="3.2rem"></pngx-logo>
<pngx-logo extra_classes="d-none d-md-block mt-n2" height="3.5rem"></pngx-logo>
</pngx-page-header>
<div class="row">

View File

@@ -6,11 +6,14 @@ Provides automatic progress bar and multiprocessing support with minimal boilerp
from __future__ import annotations
import logging
import os
from collections.abc import Callable
from collections.abc import Iterable
from collections.abc import Sized
from concurrent.futures import ProcessPoolExecutor
from concurrent.futures import as_completed
from contextlib import contextmanager
from dataclasses import dataclass
from typing import TYPE_CHECKING
from typing import Any
@@ -22,7 +25,11 @@ from django import db
from django.core.management import CommandError
from django.db.models import QuerySet
from django_rich.management import RichCommand
from rich import box
from rich.console import Console
from rich.console import Group
from rich.console import RenderableType
from rich.live import Live
from rich.progress import BarColumn
from rich.progress import MofNCompleteColumn
from rich.progress import Progress
@@ -30,11 +37,11 @@ from rich.progress import SpinnerColumn
from rich.progress import TextColumn
from rich.progress import TimeElapsedColumn
from rich.progress import TimeRemainingColumn
from rich.table import Table
from rich.text import Text
if TYPE_CHECKING:
from collections.abc import Callable
from collections.abc import Generator
from collections.abc import Iterable
from collections.abc import Sequence
from django.core.management import CommandParser
@@ -43,6 +50,78 @@ T = TypeVar("T")
R = TypeVar("R")
@dataclass(slots=True, frozen=True)
class _BufferedRecord:
level: int
name: str
message: str
class BufferingLogHandler(logging.Handler):
"""Captures log records during a command run for deferred rendering.
Attach to a logger before a long operation and call ``render()``
afterwards to emit the buffered records via Rich, optionally filtered
by minimum level.
"""
def __init__(self) -> None:
super().__init__()
self._records: list[_BufferedRecord] = []
def emit(self, record: logging.LogRecord) -> None:
self._records.append(
_BufferedRecord(
level=record.levelno,
name=record.name,
message=self.format(record),
),
)
def render(
self,
console: Console,
*,
min_level: int = logging.DEBUG,
title: str = "Log Output",
) -> None:
records = [r for r in self._records if r.level >= min_level]
if not records:
return
table = Table(
title=title,
show_header=True,
header_style="bold",
show_lines=False,
box=box.SIMPLE,
)
table.add_column("Level", style="bold", width=8)
table.add_column("Logger", style="dim")
table.add_column("Message", no_wrap=False)
_level_styles: dict[int, str] = {
logging.DEBUG: "dim",
logging.INFO: "cyan",
logging.WARNING: "yellow",
logging.ERROR: "red",
logging.CRITICAL: "bold red",
}
for record in records:
style = _level_styles.get(record.level, "")
table.add_row(
Text(logging.getLevelName(record.level), style=style),
record.name,
record.message,
)
console.print(table)
def clear(self) -> None:
self._records.clear()
@dataclass(frozen=True, slots=True)
class ProcessResult(Generic[T, R]):
"""
@@ -91,6 +170,23 @@ class PaperlessCommand(RichCommand):
for result in self.process_parallel(process_doc, ids):
if result.error:
self.console.print(f"[red]Failed: {result.error}[/red]")
class Command(PaperlessCommand):
help = "Import documents with live stats"
def handle(self, *args, **options):
stats = ImportStats()
def render_stats() -> Table:
... # build Rich Table from stats
for item in self.track_with_stats(
items,
description="Importing...",
stats_renderer=render_stats,
):
result = import_item(item)
stats.imported += 1
"""
supports_progress_bar: ClassVar[bool] = True
@@ -128,13 +224,11 @@ class PaperlessCommand(RichCommand):
This is called by Django's command infrastructure after argument parsing
but before handle(). We use it to set instance attributes from options.
"""
# Set progress bar state
if self.supports_progress_bar:
self.no_progress_bar = options.get("no_progress_bar", False)
else:
self.no_progress_bar = True
# Set multiprocessing state
if self.supports_multiprocessing:
self.process_count = options.get("processes", 1)
if self.process_count < 1:
@@ -144,9 +238,69 @@ class PaperlessCommand(RichCommand):
return super().execute(*args, **options)
@contextmanager
def buffered_logging(
self,
*logger_names: str,
level: int = logging.DEBUG,
) -> Generator[BufferingLogHandler, None, None]:
"""Context manager that captures log output from named loggers.
Installs a ``BufferingLogHandler`` on each named logger for the
duration of the block, suppressing propagation to avoid interleaving
with the Rich live display. The handler is removed on exit regardless
of whether an exception occurred.
Usage::
with self.buffered_logging("paperless", "documents") as log_buf:
# ... run progress loop ...
if options["verbose"]:
log_buf.render(self.console)
"""
handler = BufferingLogHandler()
handler.setFormatter(logging.Formatter("%(message)s"))
loggers: list[logging.Logger] = []
original_propagate: dict[str, bool] = {}
for name in logger_names:
log = logging.getLogger(name)
log.addHandler(handler)
original_propagate[name] = log.propagate
log.propagate = False
loggers.append(log)
try:
yield handler
finally:
for log in loggers:
log.removeHandler(handler)
log.propagate = original_propagate[log.name]
@staticmethod
def _progress_columns() -> tuple[Any, ...]:
"""
Return the standard set of progress bar columns.
Extracted so both _create_progress (standalone) and track_with_stats
(inside Live) use identical column configuration without duplication.
"""
return (
SpinnerColumn(),
TextColumn("[progress.description]{task.description}"),
BarColumn(),
MofNCompleteColumn(),
TimeElapsedColumn(),
TimeRemainingColumn(),
)
def _create_progress(self, description: str) -> Progress:
"""
Create a configured Progress instance.
Create a standalone Progress instance with its own stderr Console.
Use this for track(). For track_with_stats(), Progress is created
directly inside a Live context instead.
Progress output is directed to stderr to match the convention that
progress bars are transient UI feedback, not command output. This
@@ -161,12 +315,7 @@ class PaperlessCommand(RichCommand):
A Progress instance configured with appropriate columns.
"""
return Progress(
SpinnerColumn(),
TextColumn("[progress.description]{task.description}"),
BarColumn(),
MofNCompleteColumn(),
TimeElapsedColumn(),
TimeRemainingColumn(),
*self._progress_columns(),
console=Console(stderr=True),
transient=False,
)
@@ -222,7 +371,6 @@ class PaperlessCommand(RichCommand):
yield from iterable
return
# Attempt to determine total if not provided
if total is None:
total = self._get_iterable_length(iterable)
@@ -232,6 +380,87 @@ class PaperlessCommand(RichCommand):
yield item
progress.advance(task_id)
def track_with_stats(
self,
iterable: Iterable[T],
*,
description: str = "Processing...",
stats_renderer: Callable[[], RenderableType],
total: int | None = None,
) -> Generator[T, None, None]:
"""
Iterate over items with a progress bar and a live-updating stats display.
The progress bar and stats renderable are combined in a single Live
context, so the stats panel re-renders in place below the progress bar
after each item is processed.
Respects --no-progress-bar flag. When disabled, yields items without
any display (stats are still updated by the caller's loop body, so
they will be accurate for any post-loop summary the caller prints).
Args:
iterable: The items to iterate over.
description: Text to display alongside the progress bar.
stats_renderer: Zero-argument callable that returns a Rich
renderable. Called after each item to refresh the display.
The caller typically closes over a mutable dataclass and
rebuilds a Table from it on each call.
total: Total number of items. If None, attempts to determine
automatically via .count() (for querysets) or len().
Yields:
Items from the iterable.
Example:
@dataclass
class Stats:
processed: int = 0
failed: int = 0
stats = Stats()
def render_stats() -> Table:
table = Table(box=None)
table.add_column("Processed")
table.add_column("Failed")
table.add_row(str(stats.processed), str(stats.failed))
return table
for item in self.track_with_stats(
items,
description="Importing...",
stats_renderer=render_stats,
):
try:
import_item(item)
stats.processed += 1
except Exception:
stats.failed += 1
"""
if self.no_progress_bar:
yield from iterable
return
if total is None:
total = self._get_iterable_length(iterable)
stderr_console = Console(stderr=True)
# Progress is created without its own console so Live controls rendering.
progress = Progress(*self._progress_columns())
task_id = progress.add_task(description, total=total)
with Live(
Group(progress, stats_renderer()),
console=stderr_console,
refresh_per_second=4,
) as live:
for item in iterable:
yield item
progress.advance(task_id)
live.update(Group(progress, stats_renderer()))
def process_parallel(
self,
fn: Callable[[T], R],
@@ -269,7 +498,7 @@ class PaperlessCommand(RichCommand):
total = len(items)
if self.process_count == 1:
# Sequential execution in main process - critical for testing
# Sequential execution in main process - critical for testing, so we don't fork in fork, etc
yield from self._process_sequential(fn, items, description, total)
else:
# Parallel execution with ProcessPoolExecutor
@@ -298,6 +527,7 @@ class PaperlessCommand(RichCommand):
total: int,
) -> Generator[ProcessResult[T, R], None, None]:
"""Process items in parallel using ProcessPoolExecutor."""
# Close database connections before forking - required for PostgreSQL
db.connections.close_all()

View File

@@ -1,4 +1,12 @@
from __future__ import annotations
import logging
from dataclasses import dataclass
from dataclasses import field
from typing import TYPE_CHECKING
from rich.table import Table
from rich.text import Text
from documents.classifier import load_classifier
from documents.management.commands.base import PaperlessCommand
@@ -8,9 +16,162 @@ from documents.signals.handlers import set_document_type
from documents.signals.handlers import set_storage_path
from documents.signals.handlers import set_tags
if TYPE_CHECKING:
from rich.console import RenderableType
from documents.models import Correspondent
from documents.models import DocumentType
from documents.models import StoragePath
from documents.models import Tag
logger = logging.getLogger("paperless.management.retagger")
@dataclass(slots=True)
class RetaggerStats:
"""Cumulative counters updated as the retagger processes documents.
Mutable by design -- fields are incremented in the processing loop.
slots=True reduces per-instance memory overhead and speeds attribute access.
"""
correspondents: int = 0
document_types: int = 0
tags_added: int = 0
tags_removed: int = 0
storage_paths: int = 0
documents_processed: int = 0
@dataclass(slots=True)
class DocumentSuggestion:
"""Buffered classifier suggestions for a single document (suggest mode only).
Mutable by design -- fields are assigned incrementally as each setter runs.
"""
document: Document
correspondent: Correspondent | None = None
document_type: DocumentType | None = None
tags_to_add: frozenset[Tag] = field(default_factory=frozenset)
tags_to_remove: frozenset[Tag] = field(default_factory=frozenset)
storage_path: StoragePath | None = None
@property
def has_suggestions(self) -> bool:
return bool(
self.correspondent is not None
or self.document_type is not None
or self.tags_to_add
or self.tags_to_remove
or self.storage_path is not None,
)
def _build_stats_table(stats: RetaggerStats, *, suggest: bool) -> Table:
"""
Build the live-updating stats table shown below the progress bar.
In suggest mode the labels read "would set / would add" to make clear
that nothing has been written to the database.
"""
table = Table(box=None, padding=(0, 2), show_header=True, header_style="bold")
table.add_column("Documents")
table.add_column("Correspondents")
table.add_column("Doc Types")
table.add_column("Tags (+)")
table.add_column("Tags (-)")
table.add_column("Storage Paths")
verb = "would set" if suggest else "set"
table.add_row(
str(stats.documents_processed),
f"{stats.correspondents} {verb}",
f"{stats.document_types} {verb}",
f"+{stats.tags_added}",
f"-{stats.tags_removed}",
f"{stats.storage_paths} {verb}",
)
return table
def _build_suggestion_table(
suggestions: list[DocumentSuggestion],
base_url: str | None,
) -> Table:
"""
Build the final suggestion table printed after the progress bar completes.
Only documents with at least one suggestion are included.
"""
table = Table(
title="Suggested Changes",
show_header=True,
header_style="bold cyan",
show_lines=True,
)
table.add_column("Document", style="bold", no_wrap=False, min_width=20)
table.add_column("Correspondent")
table.add_column("Doc Type")
table.add_column("Tags")
table.add_column("Storage Path")
for suggestion in suggestions:
if not suggestion.has_suggestions:
continue
doc = suggestion.document
if base_url:
doc_cell = Text()
doc_cell.append(str(doc))
doc_cell.append(f"\n{base_url}/documents/{doc.pk}", style="dim")
else:
doc_cell = Text(f"{doc} [{doc.pk}]")
tag_parts: list[str] = []
for tag in sorted(suggestion.tags_to_add, key=lambda t: t.name):
tag_parts.append(f"[green]+{tag.name}[/green]")
for tag in sorted(suggestion.tags_to_remove, key=lambda t: t.name):
tag_parts.append(f"[red]-{tag.name}[/red]")
tag_cell = Text.from_markup(", ".join(tag_parts)) if tag_parts else Text("-")
table.add_row(
doc_cell,
str(suggestion.correspondent) if suggestion.correspondent else "-",
str(suggestion.document_type) if suggestion.document_type else "-",
tag_cell,
str(suggestion.storage_path) if suggestion.storage_path else "-",
)
return table
def _build_summary_table(stats: RetaggerStats) -> Table:
"""Build the final applied-changes summary table."""
table = Table(
title="Retagger Summary",
show_header=True,
header_style="bold cyan",
)
table.add_column("Metric", style="bold")
table.add_column("Count", justify="right")
table.add_row("Documents processed", str(stats.documents_processed))
table.add_row("Correspondents set", str(stats.correspondents))
table.add_row("Document types set", str(stats.document_types))
table.add_row("Tags added", str(stats.tags_added))
table.add_row("Tags removed", str(stats.tags_removed))
table.add_row("Storage paths set", str(stats.storage_paths))
return table
class Command(PaperlessCommand):
help = (
"Using the current classification model, assigns correspondents, tags "
@@ -19,7 +180,7 @@ class Command(PaperlessCommand):
"modified) after their initial import."
)
def add_arguments(self, parser):
def add_arguments(self, parser) -> None:
super().add_arguments(parser)
parser.add_argument("-c", "--correspondent", default=False, action="store_true")
parser.add_argument("-T", "--tags", default=False, action="store_true")
@@ -31,9 +192,9 @@ class Command(PaperlessCommand):
default=False,
action="store_true",
help=(
"By default this command won't try to assign a correspondent "
"if more than one matches the document. Use this flag if "
"you'd rather it just pick the first one it finds."
"By default this command will not try to assign a correspondent "
"if more than one matches the document. Use this flag to pick "
"the first match instead."
),
)
parser.add_argument(
@@ -42,91 +203,140 @@ class Command(PaperlessCommand):
default=False,
action="store_true",
help=(
"If set, the document retagger will overwrite any previously "
"set correspondent, document and remove correspondents, types "
"and tags that do not match anymore due to changed rules."
"Overwrite any previously set correspondent, document type, and "
"remove tags that no longer match due to changed rules."
),
)
parser.add_argument(
"--suggest",
default=False,
action="store_true",
help="Return the suggestion, don't change anything.",
help="Show what would be changed without applying anything.",
)
parser.add_argument(
"--base-url",
help="The base URL to use to build the link to the documents.",
help="Base URL used to build document links in suggest output.",
)
parser.add_argument(
"--id-range",
help="A range of document ids on which the retagging should be applied.",
help="Restrict retagging to documents within this ID range (inclusive).",
nargs=2,
type=int,
)
def handle(self, *args, **options):
def handle(self, *args, **options) -> None:
suggest: bool = options["suggest"]
overwrite: bool = options["overwrite"]
use_first: bool = options["use_first"]
base_url: str | None = options["base_url"]
do_correspondent: bool = options["correspondent"]
do_document_type: bool = options["document_type"]
do_tags: bool = options["tags"]
do_storage_path: bool = options["storage_path"]
if not any([do_correspondent, do_document_type, do_tags, do_storage_path]):
self.console.print(
"[yellow]No classifier targets specified. "
"Use -c, -T, -t, or -s to select what to retag.[/yellow]",
)
return
if options["inbox_only"]:
queryset = Document.objects.filter(tags__is_inbox_tag=True)
else:
queryset = Document.objects.all()
if options["id_range"]:
queryset = queryset.filter(
id__range=(options["id_range"][0], options["id_range"][1]),
)
lo, hi = options["id_range"]
queryset = queryset.filter(id__range=(lo, hi))
documents = queryset.distinct()
classifier = load_classifier()
for document in self.track(documents, description="Retagging..."):
if options["correspondent"]:
set_correspondent(
sender=None,
document=document,
classifier=classifier,
replace=options["overwrite"],
use_first=options["use_first"],
suggest=options["suggest"],
base_url=options["base_url"],
stdout=self.stdout,
style_func=self.style,
)
stats = RetaggerStats()
suggestions: list[DocumentSuggestion] = []
if options["document_type"]:
set_document_type(
sender=None,
document=document,
classifier=classifier,
replace=options["overwrite"],
use_first=options["use_first"],
suggest=options["suggest"],
base_url=options["base_url"],
stdout=self.stdout,
style_func=self.style,
)
def render_stats() -> RenderableType:
return _build_stats_table(stats, suggest=suggest)
if options["tags"]:
set_tags(
sender=None,
document=document,
classifier=classifier,
replace=options["overwrite"],
suggest=options["suggest"],
base_url=options["base_url"],
stdout=self.stdout,
style_func=self.style,
)
with self.buffered_logging(
"paperless",
"paperless.handlers",
"documents",
) as log_buf:
for document in self.track_with_stats(
documents,
description="Retagging...",
stats_renderer=render_stats,
):
suggestion = DocumentSuggestion(document=document)
if options["storage_path"]:
set_storage_path(
sender=None,
document=document,
classifier=classifier,
replace=options["overwrite"],
use_first=options["use_first"],
suggest=options["suggest"],
base_url=options["base_url"],
stdout=self.stdout,
style_func=self.style,
)
if do_correspondent:
correspondent = set_correspondent(
None,
document,
classifier=classifier,
replace=overwrite,
use_first=use_first,
dry_run=suggest,
)
if correspondent is not None:
stats.correspondents += 1
suggestion.correspondent = correspondent
if do_document_type:
document_type = set_document_type(
None,
document,
classifier=classifier,
replace=overwrite,
use_first=use_first,
dry_run=suggest,
)
if document_type is not None:
stats.document_types += 1
suggestion.document_type = document_type
if do_tags:
tags_to_add, tags_to_remove = set_tags(
None,
document,
classifier=classifier,
replace=overwrite,
dry_run=suggest,
)
stats.tags_added += len(tags_to_add)
stats.tags_removed += len(tags_to_remove)
suggestion.tags_to_add = frozenset(tags_to_add)
suggestion.tags_to_remove = frozenset(tags_to_remove)
if do_storage_path:
storage_path = set_storage_path(
None,
document,
classifier=classifier,
replace=overwrite,
use_first=use_first,
dry_run=suggest,
)
if storage_path is not None:
stats.storage_paths += 1
suggestion.storage_path = storage_path
stats.documents_processed += 1
if suggest:
suggestions.append(suggestion)
# Post-loop output
if suggest:
visible = [s for s in suggestions if s.has_suggestions]
if visible:
self.console.print(_build_suggestion_table(visible, base_url))
else:
self.console.print("[green]No changes suggested.[/green]")
else:
self.console.print(_build_summary_table(stats))
log_buf.render(self.console, min_level=logging.INFO, title="Retagger Log")

View File

@@ -75,7 +75,7 @@ class MatchingModel(ModelWithOwner):
is_insensitive = models.BooleanField(_("is insensitive"), default=True)
class Meta:
class Meta(ModelWithOwner.Meta):
abstract = True
ordering = ("name",)
constraints = [

View File

@@ -4,6 +4,7 @@ import logging
import shutil
from pathlib import Path
from typing import TYPE_CHECKING
from typing import Any
from celery import shared_task
from celery import states
@@ -32,12 +33,14 @@ from documents.file_handling import create_source_path_directory
from documents.file_handling import delete_empty_directories
from documents.file_handling import generate_filename
from documents.file_handling import generate_unique_filename
from documents.models import Correspondent
from documents.models import CustomField
from documents.models import CustomFieldInstance
from documents.models import Document
from documents.models import MatchingModel
from documents.models import DocumentType
from documents.models import PaperlessTask
from documents.models import SavedView
from documents.models import StoragePath
from documents.models import Tag
from documents.models import UiSettings
from documents.models import Workflow
@@ -81,47 +84,41 @@ def add_inbox_tags(sender, document: Document, logging_group=None, **kwargs) ->
document.add_nested_tags(inbox_tags)
def _suggestion_printer(
stdout,
style_func,
suggestion_type: str,
document: Document,
selected: MatchingModel,
base_url: str | None = None,
) -> None:
"""
Smaller helper to reduce duplication when just outputting suggestions to the console
"""
doc_str = str(document)
if base_url is not None:
stdout.write(style_func.SUCCESS(doc_str))
stdout.write(style_func.SUCCESS(f"{base_url}/documents/{document.pk}"))
else:
stdout.write(style_func.SUCCESS(f"{doc_str} [{document.pk}]"))
stdout.write(f"Suggest {suggestion_type}: {selected}")
def set_correspondent(
sender,
sender: object,
document: Document,
*,
logging_group=None,
logging_group: object = None,
classifier: DocumentClassifier | None = None,
replace=False,
use_first=True,
suggest=False,
base_url=None,
stdout=None,
style_func=None,
**kwargs,
) -> None:
replace: bool = False,
use_first: bool = True,
dry_run: bool = False,
**kwargs: Any,
) -> Correspondent | None:
"""
Assign a correspondent to a document based on classifier results.
Args:
document: The document to classify.
logging_group: Optional logging group for structured log output.
classifier: The trained classifier. If None, only rule-based matching runs.
replace: If True, overwrite an existing correspondent assignment.
use_first: If True, pick the first match when multiple correspondents
match. If False, skip assignment when multiple match.
dry_run: If True, compute and return the selection without saving.
**kwargs: Absorbed for Django signal compatibility (e.g. sender, signal).
Returns:
The correspondent that was (or would be) assigned, or None if no match
was found or assignment was skipped.
"""
if document.correspondent and not replace:
return
return None
potential_correspondents = matching.match_correspondents(document, classifier)
potential_count = len(potential_correspondents)
selected = potential_correspondents[0] if potential_correspondents else None
if potential_count > 1:
if use_first:
logger.debug(
@@ -135,49 +132,53 @@ def set_correspondent(
f"not assigning any correspondent",
extra={"group": logging_group},
)
return
return None
if selected or replace:
if suggest:
_suggestion_printer(
stdout,
style_func,
"correspondent",
document,
selected,
base_url,
)
else:
logger.info(
f"Assigning correspondent {selected} to {document}",
extra={"group": logging_group},
)
if (selected or replace) and not dry_run:
logger.info(
f"Assigning correspondent {selected} to {document}",
extra={"group": logging_group},
)
document.correspondent = selected
document.save(update_fields=("correspondent",))
document.correspondent = selected
document.save(update_fields=("correspondent",))
return selected
def set_document_type(
sender,
sender: object,
document: Document,
*,
logging_group=None,
logging_group: object = None,
classifier: DocumentClassifier | None = None,
replace=False,
use_first=True,
suggest=False,
base_url=None,
stdout=None,
style_func=None,
**kwargs,
) -> None:
replace: bool = False,
use_first: bool = True,
dry_run: bool = False,
**kwargs: Any,
) -> DocumentType | None:
"""
Assign a document type to a document based on classifier results.
Args:
document: The document to classify.
logging_group: Optional logging group for structured log output.
classifier: The trained classifier. If None, only rule-based matching runs.
replace: If True, overwrite an existing document type assignment.
use_first: If True, pick the first match when multiple types match.
If False, skip assignment when multiple match.
dry_run: If True, compute and return the selection without saving.
**kwargs: Absorbed for Django signal compatibility (e.g. sender, signal).
Returns:
The document type that was (or would be) assigned, or None if no match
was found or assignment was skipped.
"""
if document.document_type and not replace:
return
return None
potential_document_type = matching.match_document_types(document, classifier)
potential_count = len(potential_document_type)
selected = potential_document_type[0] if potential_document_type else None
potential_document_types = matching.match_document_types(document, classifier)
potential_count = len(potential_document_types)
selected = potential_document_types[0] if potential_document_types else None
if potential_count > 1:
if use_first:
@@ -192,42 +193,64 @@ def set_document_type(
f"not assigning any document type",
extra={"group": logging_group},
)
return
return None
if selected or replace:
if suggest:
_suggestion_printer(
stdout,
style_func,
"document type",
document,
selected,
base_url,
)
else:
logger.info(
f"Assigning document type {selected} to {document}",
extra={"group": logging_group},
)
if (selected or replace) and not dry_run:
logger.info(
f"Assigning document type {selected} to {document}",
extra={"group": logging_group},
)
document.document_type = selected
document.save(update_fields=("document_type",))
document.document_type = selected
document.save(update_fields=("document_type",))
return selected
def set_tags(
sender,
sender: object,
document: Document,
*,
logging_group=None,
logging_group: object = None,
classifier: DocumentClassifier | None = None,
replace=False,
suggest=False,
base_url=None,
stdout=None,
style_func=None,
**kwargs,
) -> None:
replace: bool = False,
dry_run: bool = False,
**kwargs: Any,
) -> tuple[set[Tag], set[Tag]]:
"""
Assign tags to a document based on classifier results.
When replace=True, existing auto-matched and rule-matched tags are removed
before applying the new set (inbox tags and manually-added tags are preserved).
Args:
document: The document to classify.
logging_group: Optional logging group for structured log output.
classifier: The trained classifier. If None, only rule-based matching runs.
replace: If True, remove existing classifier-managed tags before applying
new ones. Inbox tags and manually-added tags are always preserved.
dry_run: If True, compute what would change without saving anything.
**kwargs: Absorbed for Django signal compatibility (e.g. sender, signal).
Returns:
A two-tuple of (tags_added, tags_removed). In non-replace mode,
tags_removed is always an empty set. In dry_run mode, neither set
is applied to the database.
"""
# Compute which tags would be removed under replace mode.
# The filter mirrors the .delete() call below: keep inbox tags and
# manually-added tags (match="" and not auto-matched).
if replace:
tags_to_remove: set[Tag] = set(
document.tags.exclude(
is_inbox_tag=True,
).exclude(
Q(match="") & ~Q(matching_algorithm=Tag.MATCH_AUTO),
),
)
else:
tags_to_remove = set()
if replace and not dry_run:
Document.tags.through.objects.filter(document=document).exclude(
Q(tag__is_inbox_tag=True),
).exclude(
@@ -235,65 +258,53 @@ def set_tags(
).delete()
current_tags = set(document.tags.all())
matched_tags = matching.match_tags(document, classifier)
tags_to_add = set(matched_tags) - current_tags
relevant_tags = set(matched_tags) - current_tags
if suggest:
extra_tags = current_tags - set(matched_tags)
extra_tags = [
t for t in extra_tags if t.matching_algorithm == MatchingModel.MATCH_AUTO
]
if not relevant_tags and not extra_tags:
return
doc_str = style_func.SUCCESS(str(document))
if base_url:
stdout.write(doc_str)
stdout.write(f"{base_url}/documents/{document.pk}")
else:
stdout.write(doc_str + style_func.SUCCESS(f" [{document.pk}]"))
if relevant_tags:
stdout.write("Suggest tags: " + ", ".join([t.name for t in relevant_tags]))
if extra_tags:
stdout.write("Extra tags: " + ", ".join([t.name for t in extra_tags]))
else:
if not relevant_tags:
return
message = 'Tagging "{}" with "{}"'
if tags_to_add and not dry_run:
logger.info(
message.format(document, ", ".join([t.name for t in relevant_tags])),
f'Tagging "{document}" with "{", ".join(t.name for t in tags_to_add)}"',
extra={"group": logging_group},
)
document.add_nested_tags(tags_to_add)
document.add_nested_tags(relevant_tags)
return tags_to_add, tags_to_remove
def set_storage_path(
sender,
sender: object,
document: Document,
*,
logging_group=None,
logging_group: object = None,
classifier: DocumentClassifier | None = None,
replace=False,
use_first=True,
suggest=False,
base_url=None,
stdout=None,
style_func=None,
**kwargs,
) -> None:
replace: bool = False,
use_first: bool = True,
dry_run: bool = False,
**kwargs: Any,
) -> StoragePath | None:
"""
Assign a storage path to a document based on classifier results.
Args:
document: The document to classify.
logging_group: Optional logging group for structured log output.
classifier: The trained classifier. If None, only rule-based matching runs.
replace: If True, overwrite an existing storage path assignment.
use_first: If True, pick the first match when multiple paths match.
If False, skip assignment when multiple match.
dry_run: If True, compute and return the selection without saving.
**kwargs: Absorbed for Django signal compatibility (e.g. sender, signal).
Returns:
The storage path that was (or would be) assigned, or None if no match
was found or assignment was skipped.
"""
if document.storage_path and not replace:
return
return None
potential_storage_path = matching.match_storage_paths(
document,
classifier,
)
potential_count = len(potential_storage_path)
selected = potential_storage_path[0] if potential_storage_path else None
potential_storage_paths = matching.match_storage_paths(document, classifier)
potential_count = len(potential_storage_paths)
selected = potential_storage_paths[0] if potential_storage_paths else None
if potential_count > 1:
if use_first:
@@ -308,26 +319,17 @@ def set_storage_path(
f"not assigning any storage directory",
extra={"group": logging_group},
)
return
return None
if selected or replace:
if suggest:
_suggestion_printer(
stdout,
style_func,
"storage directory",
document,
selected,
base_url,
)
else:
logger.info(
f"Assigning storage path {selected} to {document}",
extra={"group": logging_group},
)
if (selected or replace) and not dry_run:
logger.info(
f"Assigning storage path {selected} to {document}",
extra={"group": logging_group},
)
document.storage_path = selected
document.save(update_fields=("storage_path",))
document.storage_path = selected
document.save(update_fields=("storage_path",))
return selected
# see empty_trash in documents/tasks.py for signal handling

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@@ -114,3 +114,14 @@ def authenticated_rest_api_client(rest_api_client: APIClient):
user = UserModel.objects.create_user(username="testuser", password="password")
rest_api_client.force_authenticate(user=user)
yield rest_api_client
@pytest.fixture(scope="session", autouse=True)
def faker_session_locale():
"""Set Faker locale for reproducibility."""
return "en_US"
@pytest.fixture(scope="session", autouse=True)
def faker_seed():
return 12345

View File

@@ -1,17 +1,67 @@
from factory import Faker
"""
Factory-boy factories for documents app models.
"""
from __future__ import annotations
import factory
from factory.django import DjangoModelFactory
from documents.models import Correspondent
from documents.models import Document
from documents.models import DocumentType
from documents.models import MatchingModel
from documents.models import StoragePath
from documents.models import Tag
class CorrespondentFactory(DjangoModelFactory):
class Meta:
model = Correspondent
name = Faker("name")
name = factory.Sequence(lambda n: f"{factory.Faker('company')} {n}")
match = ""
matching_algorithm = MatchingModel.MATCH_NONE
class DocumentTypeFactory(DjangoModelFactory):
class Meta:
model = DocumentType
name = factory.Sequence(lambda n: f"{factory.Faker('bs')} {n}")
match = ""
matching_algorithm = MatchingModel.MATCH_NONE
class TagFactory(DjangoModelFactory):
class Meta:
model = Tag
name = factory.Sequence(lambda n: f"{factory.Faker('word')} {n}")
match = ""
matching_algorithm = MatchingModel.MATCH_NONE
is_inbox_tag = False
class StoragePathFactory(DjangoModelFactory):
class Meta:
model = StoragePath
name = factory.Sequence(
lambda n: f"{factory.Faker('file_path', depth=2, extension='')} {n}",
)
path = factory.LazyAttribute(lambda o: f"{o.name}/{{title}}")
match = ""
matching_algorithm = MatchingModel.MATCH_NONE
class DocumentFactory(DjangoModelFactory):
class Meta:
model = Document
title = factory.Faker("sentence", nb_words=4)
checksum = factory.Faker("md5")
content = factory.Faker("paragraph")
correspondent = None
document_type = None
storage_path = None

View File

@@ -1,298 +1,442 @@
"""
Tests for the document_retagger management command.
"""
from __future__ import annotations
import pytest
from django.core.management import call_command
from django.core.management.base import CommandError
from django.test import TestCase
from documents.models import Correspondent
from documents.models import Document
from documents.models import DocumentType
from documents.models import MatchingModel
from documents.models import StoragePath
from documents.models import Tag
from documents.tests.factories import CorrespondentFactory
from documents.tests.factories import DocumentFactory
from documents.tests.factories import DocumentTypeFactory
from documents.tests.factories import StoragePathFactory
from documents.tests.factories import TagFactory
from documents.tests.utils import DirectoriesMixin
# ---------------------------------------------------------------------------
# Module-level type aliases
# ---------------------------------------------------------------------------
StoragePathTuple = tuple[StoragePath, StoragePath, StoragePath]
TagTuple = tuple[Tag, Tag, Tag, Tag, Tag]
CorrespondentTuple = tuple[Correspondent, Correspondent]
DocumentTypeTuple = tuple[DocumentType, DocumentType]
DocumentTuple = tuple[Document, Document, Document, Document]
# ---------------------------------------------------------------------------
# Fixtures
# ---------------------------------------------------------------------------
@pytest.fixture()
def storage_paths(db) -> StoragePathTuple:
"""Three storage paths with varying match rules."""
sp1 = StoragePathFactory(
path="{created_data}/{title}",
match="auto document",
matching_algorithm=MatchingModel.MATCH_LITERAL,
)
sp2 = StoragePathFactory(
path="{title}",
match="^first|^unrelated",
matching_algorithm=MatchingModel.MATCH_REGEX,
)
sp3 = StoragePathFactory(
path="{title}",
match="^blah",
matching_algorithm=MatchingModel.MATCH_REGEX,
)
return sp1, sp2, sp3
@pytest.fixture()
def tags(db) -> TagTuple:
"""Tags covering the common matching scenarios."""
tag_first = TagFactory(match="first", matching_algorithm=Tag.MATCH_ANY)
tag_second = TagFactory(match="second", matching_algorithm=Tag.MATCH_ANY)
tag_inbox = TagFactory(is_inbox_tag=True)
tag_no_match = TagFactory()
tag_auto = TagFactory(matching_algorithm=Tag.MATCH_AUTO)
return tag_first, tag_second, tag_inbox, tag_no_match, tag_auto
@pytest.fixture()
def correspondents(db) -> CorrespondentTuple:
"""Two correspondents matching 'first' and 'second' content."""
c_first = CorrespondentFactory(
match="first",
matching_algorithm=MatchingModel.MATCH_ANY,
)
c_second = CorrespondentFactory(
match="second",
matching_algorithm=MatchingModel.MATCH_ANY,
)
return c_first, c_second
@pytest.fixture()
def document_types(db) -> DocumentTypeTuple:
"""Two document types matching 'first' and 'second' content."""
dt_first = DocumentTypeFactory(
match="first",
matching_algorithm=MatchingModel.MATCH_ANY,
)
dt_second = DocumentTypeFactory(
match="second",
matching_algorithm=MatchingModel.MATCH_ANY,
)
return dt_first, dt_second
@pytest.fixture()
def documents(storage_paths: StoragePathTuple, tags: TagTuple) -> DocumentTuple:
"""Four documents with varied content used across most retagger tests."""
_, _, sp3 = storage_paths
_, _, tag_inbox, tag_no_match, tag_auto = tags
d1 = DocumentFactory(checksum="A", title="A", content="first document")
d2 = DocumentFactory(checksum="B", title="B", content="second document")
d3 = DocumentFactory(
checksum="C",
title="C",
content="unrelated document",
storage_path=sp3,
)
d4 = DocumentFactory(checksum="D", title="D", content="auto document")
d3.tags.add(tag_inbox, tag_no_match)
d4.tags.add(tag_auto)
return d1, d2, d3, d4
def _get_docs() -> DocumentTuple:
return (
Document.objects.get(title="A"),
Document.objects.get(title="B"),
Document.objects.get(title="C"),
Document.objects.get(title="D"),
)
# ---------------------------------------------------------------------------
# Tag assignment
# ---------------------------------------------------------------------------
@pytest.mark.management
class TestRetagger(DirectoriesMixin, TestCase):
def make_models(self) -> None:
self.sp1 = StoragePath.objects.create(
name="dummy a",
path="{created_data}/{title}",
match="auto document",
matching_algorithm=StoragePath.MATCH_LITERAL,
)
self.sp2 = StoragePath.objects.create(
name="dummy b",
path="{title}",
match="^first|^unrelated",
matching_algorithm=StoragePath.MATCH_REGEX,
)
self.sp3 = StoragePath.objects.create(
name="dummy c",
path="{title}",
match="^blah",
matching_algorithm=StoragePath.MATCH_REGEX,
)
self.d1 = Document.objects.create(
checksum="A",
title="A",
content="first document",
)
self.d2 = Document.objects.create(
checksum="B",
title="B",
content="second document",
)
self.d3 = Document.objects.create(
checksum="C",
title="C",
content="unrelated document",
storage_path=self.sp3,
)
self.d4 = Document.objects.create(
checksum="D",
title="D",
content="auto document",
)
self.tag_first = Tag.objects.create(
name="tag1",
match="first",
matching_algorithm=Tag.MATCH_ANY,
)
self.tag_second = Tag.objects.create(
name="tag2",
match="second",
matching_algorithm=Tag.MATCH_ANY,
)
self.tag_inbox = Tag.objects.create(name="test", is_inbox_tag=True)
self.tag_no_match = Tag.objects.create(name="test2")
self.tag_auto = Tag.objects.create(
name="tagauto",
matching_algorithm=Tag.MATCH_AUTO,
)
self.d3.tags.add(self.tag_inbox)
self.d3.tags.add(self.tag_no_match)
self.d4.tags.add(self.tag_auto)
self.correspondent_first = Correspondent.objects.create(
name="c1",
match="first",
matching_algorithm=Correspondent.MATCH_ANY,
)
self.correspondent_second = Correspondent.objects.create(
name="c2",
match="second",
matching_algorithm=Correspondent.MATCH_ANY,
)
self.doctype_first = DocumentType.objects.create(
name="dt1",
match="first",
matching_algorithm=DocumentType.MATCH_ANY,
)
self.doctype_second = DocumentType.objects.create(
name="dt2",
match="second",
matching_algorithm=DocumentType.MATCH_ANY,
)
def get_updated_docs(self):
return (
Document.objects.get(title="A"),
Document.objects.get(title="B"),
Document.objects.get(title="C"),
Document.objects.get(title="D"),
)
def setUp(self) -> None:
super().setUp()
self.make_models()
def test_add_tags(self) -> None:
@pytest.mark.django_db
class TestRetaggerTags(DirectoriesMixin):
@pytest.mark.usefixtures("documents")
def test_add_tags(self, tags: TagTuple) -> None:
tag_first, tag_second, *_ = tags
call_command("document_retagger", "--tags")
d_first, d_second, d_unrelated, d_auto = self.get_updated_docs()
d_first, d_second, d_unrelated, d_auto = _get_docs()
self.assertEqual(d_first.tags.count(), 1)
self.assertEqual(d_second.tags.count(), 1)
self.assertEqual(d_unrelated.tags.count(), 2)
self.assertEqual(d_auto.tags.count(), 1)
assert d_first.tags.count() == 1
assert d_second.tags.count() == 1
assert d_unrelated.tags.count() == 2
assert d_auto.tags.count() == 1
assert d_first.tags.first() == tag_first
assert d_second.tags.first() == tag_second
self.assertEqual(d_first.tags.first(), self.tag_first)
self.assertEqual(d_second.tags.first(), self.tag_second)
def test_add_type(self) -> None:
call_command("document_retagger", "--document_type")
d_first, d_second, _, _ = self.get_updated_docs()
self.assertEqual(d_first.document_type, self.doctype_first)
self.assertEqual(d_second.document_type, self.doctype_second)
def test_add_correspondent(self) -> None:
call_command("document_retagger", "--correspondent")
d_first, d_second, _, _ = self.get_updated_docs()
self.assertEqual(d_first.correspondent, self.correspondent_first)
self.assertEqual(d_second.correspondent, self.correspondent_second)
def test_overwrite_preserve_inbox(self) -> None:
self.d1.tags.add(self.tag_second)
def test_overwrite_removes_stale_tags_and_preserves_inbox(
self,
documents: DocumentTuple,
tags: TagTuple,
) -> None:
d1, *_ = documents
tag_first, tag_second, tag_inbox, tag_no_match, _ = tags
d1.tags.add(tag_second)
call_command("document_retagger", "--tags", "--overwrite")
d_first, d_second, d_unrelated, d_auto = self.get_updated_docs()
d_first, d_second, d_unrelated, d_auto = _get_docs()
self.assertIsNotNone(Tag.objects.get(id=self.tag_second.id))
assert Tag.objects.filter(id=tag_second.id).exists()
assert list(d_first.tags.values_list("id", flat=True)) == [tag_first.id]
assert list(d_second.tags.values_list("id", flat=True)) == [tag_second.id]
assert set(d_unrelated.tags.values_list("id", flat=True)) == {
tag_inbox.id,
tag_no_match.id,
}
assert d_auto.tags.count() == 0
self.assertCountEqual(
[tag.id for tag in d_first.tags.all()],
[self.tag_first.id],
@pytest.mark.usefixtures("documents")
@pytest.mark.parametrize(
"extra_args",
[
pytest.param([], id="no_base_url"),
pytest.param(["--base-url=http://localhost"], id="with_base_url"),
],
)
def test_suggest_does_not_apply_tags(self, extra_args: list[str]) -> None:
call_command("document_retagger", "--tags", "--suggest", *extra_args)
d_first, d_second, _, d_auto = _get_docs()
assert d_first.tags.count() == 0
assert d_second.tags.count() == 0
assert d_auto.tags.count() == 1
# ---------------------------------------------------------------------------
# Document type assignment
# ---------------------------------------------------------------------------
@pytest.mark.management
@pytest.mark.django_db
class TestRetaggerDocumentType(DirectoriesMixin):
@pytest.mark.usefixtures("documents")
def test_add_type(self, document_types: DocumentTypeTuple) -> None:
dt_first, dt_second = document_types
call_command("document_retagger", "--document_type")
d_first, d_second, _, _ = _get_docs()
assert d_first.document_type == dt_first
assert d_second.document_type == dt_second
@pytest.mark.usefixtures("documents", "document_types")
@pytest.mark.parametrize(
"extra_args",
[
pytest.param([], id="no_base_url"),
pytest.param(["--base-url=http://localhost"], id="with_base_url"),
],
)
def test_suggest_does_not_apply_document_type(self, extra_args: list[str]) -> None:
call_command("document_retagger", "--document_type", "--suggest", *extra_args)
d_first, d_second, _, _ = _get_docs()
assert d_first.document_type is None
assert d_second.document_type is None
@pytest.mark.parametrize(
("use_first_flag", "expects_assignment"),
[
pytest.param(["--use-first"], True, id="use_first_assigns_first_match"),
pytest.param([], False, id="no_use_first_skips_ambiguous_match"),
],
)
def test_use_first_with_multiple_matches(
self,
use_first_flag: list[str],
*,
expects_assignment: bool,
) -> None:
DocumentTypeFactory(
match="ambiguous",
matching_algorithm=MatchingModel.MATCH_ANY,
)
self.assertCountEqual(
[tag.id for tag in d_second.tags.all()],
[self.tag_second.id],
DocumentTypeFactory(
match="ambiguous",
matching_algorithm=MatchingModel.MATCH_ANY,
)
self.assertCountEqual(
[tag.id for tag in d_unrelated.tags.all()],
[self.tag_inbox.id, self.tag_no_match.id],
doc = DocumentFactory(content="ambiguous content")
call_command("document_retagger", "--document_type", *use_first_flag)
doc.refresh_from_db()
assert (doc.document_type is not None) is expects_assignment
# ---------------------------------------------------------------------------
# Correspondent assignment
# ---------------------------------------------------------------------------
@pytest.mark.management
@pytest.mark.django_db
class TestRetaggerCorrespondent(DirectoriesMixin):
@pytest.mark.usefixtures("documents")
def test_add_correspondent(self, correspondents: CorrespondentTuple) -> None:
c_first, c_second = correspondents
call_command("document_retagger", "--correspondent")
d_first, d_second, _, _ = _get_docs()
assert d_first.correspondent == c_first
assert d_second.correspondent == c_second
@pytest.mark.usefixtures("documents", "correspondents")
@pytest.mark.parametrize(
"extra_args",
[
pytest.param([], id="no_base_url"),
pytest.param(["--base-url=http://localhost"], id="with_base_url"),
],
)
def test_suggest_does_not_apply_correspondent(self, extra_args: list[str]) -> None:
call_command("document_retagger", "--correspondent", "--suggest", *extra_args)
d_first, d_second, _, _ = _get_docs()
assert d_first.correspondent is None
assert d_second.correspondent is None
@pytest.mark.parametrize(
("use_first_flag", "expects_assignment"),
[
pytest.param(["--use-first"], True, id="use_first_assigns_first_match"),
pytest.param([], False, id="no_use_first_skips_ambiguous_match"),
],
)
def test_use_first_with_multiple_matches(
self,
use_first_flag: list[str],
*,
expects_assignment: bool,
) -> None:
CorrespondentFactory(
match="ambiguous",
matching_algorithm=MatchingModel.MATCH_ANY,
)
self.assertEqual(d_auto.tags.count(), 0)
def test_add_tags_suggest(self) -> None:
call_command("document_retagger", "--tags", "--suggest")
d_first, d_second, _, d_auto = self.get_updated_docs()
self.assertEqual(d_first.tags.count(), 0)
self.assertEqual(d_second.tags.count(), 0)
self.assertEqual(d_auto.tags.count(), 1)
def test_add_type_suggest(self) -> None:
call_command("document_retagger", "--document_type", "--suggest")
d_first, d_second, _, _ = self.get_updated_docs()
self.assertIsNone(d_first.document_type)
self.assertIsNone(d_second.document_type)
def test_add_correspondent_suggest(self) -> None:
call_command("document_retagger", "--correspondent", "--suggest")
d_first, d_second, _, _ = self.get_updated_docs()
self.assertIsNone(d_first.correspondent)
self.assertIsNone(d_second.correspondent)
def test_add_tags_suggest_url(self) -> None:
call_command(
"document_retagger",
"--tags",
"--suggest",
"--base-url=http://localhost",
CorrespondentFactory(
match="ambiguous",
matching_algorithm=MatchingModel.MATCH_ANY,
)
d_first, d_second, _, d_auto = self.get_updated_docs()
doc = DocumentFactory(content="ambiguous content")
self.assertEqual(d_first.tags.count(), 0)
self.assertEqual(d_second.tags.count(), 0)
self.assertEqual(d_auto.tags.count(), 1)
call_command("document_retagger", "--correspondent", *use_first_flag)
def test_add_type_suggest_url(self) -> None:
call_command(
"document_retagger",
"--document_type",
"--suggest",
"--base-url=http://localhost",
)
d_first, d_second, _, _ = self.get_updated_docs()
doc.refresh_from_db()
assert (doc.correspondent is not None) is expects_assignment
self.assertIsNone(d_first.document_type)
self.assertIsNone(d_second.document_type)
def test_add_correspondent_suggest_url(self) -> None:
call_command(
"document_retagger",
"--correspondent",
"--suggest",
"--base-url=http://localhost",
)
d_first, d_second, _, _ = self.get_updated_docs()
# ---------------------------------------------------------------------------
# Storage path assignment
# ---------------------------------------------------------------------------
self.assertIsNone(d_first.correspondent)
self.assertIsNone(d_second.correspondent)
def test_add_storage_path(self) -> None:
@pytest.mark.management
@pytest.mark.django_db
class TestRetaggerStoragePath(DirectoriesMixin):
@pytest.mark.usefixtures("documents")
def test_add_storage_path(self, storage_paths: StoragePathTuple) -> None:
"""
GIVEN:
- 2 storage paths with documents which match them
- 1 document which matches but has a storage path
WHEN:
- document retagger is called
THEN:
- Matching document's storage paths updated
- Non-matching documents have no storage path
- Existing storage patch left unchanged
GIVEN documents matching various storage path rules
WHEN document_retagger --storage_path is called
THEN matching documents get the correct path; existing path is unchanged
"""
call_command(
"document_retagger",
"--storage_path",
)
d_first, d_second, d_unrelated, d_auto = self.get_updated_docs()
sp1, sp2, sp3 = storage_paths
call_command("document_retagger", "--storage_path")
d_first, d_second, d_unrelated, d_auto = _get_docs()
self.assertEqual(d_first.storage_path, self.sp2)
self.assertEqual(d_auto.storage_path, self.sp1)
self.assertIsNone(d_second.storage_path)
self.assertEqual(d_unrelated.storage_path, self.sp3)
assert d_first.storage_path == sp2
assert d_auto.storage_path == sp1
assert d_second.storage_path is None
assert d_unrelated.storage_path == sp3
def test_overwrite_storage_path(self) -> None:
@pytest.mark.usefixtures("documents")
def test_overwrite_storage_path(self, storage_paths: StoragePathTuple) -> None:
"""
GIVEN:
- 2 storage paths with documents which match them
- 1 document which matches but has a storage path
WHEN:
- document retagger is called with overwrite
THEN:
- Matching document's storage paths updated
- Non-matching documents have no storage path
- Existing storage patch overwritten
GIVEN a document with an existing storage path that matches a different rule
WHEN document_retagger --storage_path --overwrite is called
THEN the existing path is replaced by the newly matched path
"""
sp1, sp2, _ = storage_paths
call_command("document_retagger", "--storage_path", "--overwrite")
d_first, d_second, d_unrelated, d_auto = self.get_updated_docs()
d_first, d_second, d_unrelated, d_auto = _get_docs()
self.assertEqual(d_first.storage_path, self.sp2)
self.assertEqual(d_auto.storage_path, self.sp1)
self.assertIsNone(d_second.storage_path)
self.assertEqual(d_unrelated.storage_path, self.sp2)
assert d_first.storage_path == sp2
assert d_auto.storage_path == sp1
assert d_second.storage_path is None
assert d_unrelated.storage_path == sp2
def test_id_range_parameter(self) -> None:
commandOutput = ""
Document.objects.create(
checksum="E",
title="E",
content="NOT the first document",
@pytest.mark.parametrize(
("use_first_flag", "expects_assignment"),
[
pytest.param(["--use-first"], True, id="use_first_assigns_first_match"),
pytest.param([], False, id="no_use_first_skips_ambiguous_match"),
],
)
def test_use_first_with_multiple_matches(
self,
use_first_flag: list[str],
*,
expects_assignment: bool,
) -> None:
StoragePathFactory(
match="ambiguous",
matching_algorithm=MatchingModel.MATCH_ANY,
)
call_command("document_retagger", "--tags", "--id-range", "1", "2")
# The retagger shouldn`t apply the 'first' tag to our new document
self.assertEqual(Document.objects.filter(tags__id=self.tag_first.id).count(), 1)
StoragePathFactory(
match="ambiguous",
matching_algorithm=MatchingModel.MATCH_ANY,
)
doc = DocumentFactory(content="ambiguous content")
try:
commandOutput = call_command("document_retagger", "--tags", "--id-range")
except CommandError:
# Just ignore the error
None
self.assertIn(commandOutput, "Error: argument --id-range: expected 2 arguments")
call_command("document_retagger", "--storage_path", *use_first_flag)
try:
commandOutput = call_command(
"document_retagger",
"--tags",
"--id-range",
"a",
"b",
)
except CommandError:
# Just ignore the error
None
self.assertIn(commandOutput, "error: argument --id-range: invalid int value:")
doc.refresh_from_db()
assert (doc.storage_path is not None) is expects_assignment
call_command("document_retagger", "--tags", "--id-range", "1", "9999")
# Now we should have 2 documents
self.assertEqual(Document.objects.filter(tags__id=self.tag_first.id).count(), 2)
# ---------------------------------------------------------------------------
# ID range filtering
# ---------------------------------------------------------------------------
@pytest.mark.management
@pytest.mark.django_db
class TestRetaggerIdRange(DirectoriesMixin):
@pytest.mark.usefixtures("documents")
@pytest.mark.parametrize(
("id_range_args", "expected_count"),
[
pytest.param(["1", "2"], 1, id="narrow_range_limits_scope"),
pytest.param(["1", "9999"], 2, id="wide_range_tags_all_matches"),
],
)
def test_id_range_limits_scope(
self,
tags: TagTuple,
id_range_args: list[str],
expected_count: int,
) -> None:
DocumentFactory(content="NOT the first document")
call_command("document_retagger", "--tags", "--id-range", *id_range_args)
tag_first, *_ = tags
assert Document.objects.filter(tags__id=tag_first.id).count() == expected_count
@pytest.mark.usefixtures("documents")
@pytest.mark.parametrize(
"args",
[
pytest.param(["--tags", "--id-range"], id="missing_both_values"),
pytest.param(["--tags", "--id-range", "a", "b"], id="non_integer_values"),
],
)
def test_id_range_invalid_arguments_raise(self, args: list[str]) -> None:
with pytest.raises((CommandError, SystemExit)):
call_command("document_retagger", *args)
# ---------------------------------------------------------------------------
# Edge cases
# ---------------------------------------------------------------------------
@pytest.mark.management
@pytest.mark.django_db
class TestRetaggerEdgeCases(DirectoriesMixin):
@pytest.mark.usefixtures("documents")
def test_no_targets_exits_cleanly(self) -> None:
"""Calling the retagger with no classifier targets should not raise."""
call_command("document_retagger")
@pytest.mark.usefixtures("documents")
def test_inbox_only_skips_non_inbox_documents(self) -> None:
"""--inbox-only must restrict processing to documents with an inbox tag."""
call_command("document_retagger", "--tags", "--inbox-only")
d_first, _, d_unrelated, _ = _get_docs()
assert d_first.tags.count() == 0
assert d_unrelated.tags.count() == 2

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10
uv.lock generated
View File

@@ -1342,11 +1342,11 @@ wheels = [
[[package]]
name = "faker"
version = "40.1.2"
version = "40.5.1"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/5e/77/1c3ff07b6739b9a1d23ca01ec0a90a309a33b78e345a3eb52f9ce9240e36/faker-40.1.2.tar.gz", hash = "sha256:b76a68163aa5f171d260fc24827a8349bc1db672f6a665359e8d0095e8135d30", size = 1949802, upload-time = "2026-01-13T20:51:49.917Z" }
sdist = { url = "https://files.pythonhosted.org/packages/03/2a/96fff3edcb10f6505143448a4b91535f77b74865cec45be52690ee280443/faker-40.5.1.tar.gz", hash = "sha256:70222361cd82aa10cb86066d1a4e8f47f2bcdc919615c412045a69c4e6da0cd3", size = 1952684, upload-time = "2026-02-23T21:34:38.362Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/46/ec/91a434c8a53d40c3598966621dea9c50512bec6ce8e76fa1751015e74cef/faker-40.1.2-py3-none-any.whl", hash = "sha256:93503165c165d330260e4379fd6dc07c94da90c611ed3191a0174d2ab9966a42", size = 1985633, upload-time = "2026-01-13T20:51:47.982Z" },
{ url = "https://files.pythonhosted.org/packages/4d/a9/1eed4db92d0aec2f9bfdf1faae0ab0418b5e121dda5701f118a7a4f0cd6a/faker-40.5.1-py3-none-any.whl", hash = "sha256:c69640c1e13bad49b4bcebcbf1b52f9f1a872b6ea186c248ada34d798f1661bf", size = 1987053, upload-time = "2026-02-23T21:34:36.418Z" },
]
[[package]]
@@ -3121,6 +3121,7 @@ webserver = [
dev = [
{ name = "daphne", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "factory-boy", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "faker", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "imagehash", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "prek", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "pytest", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
@@ -3145,6 +3146,7 @@ lint = [
testing = [
{ name = "daphne", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "factory-boy", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "faker", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "imagehash", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "pytest", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
{ name = "pytest-cov", marker = "sys_platform == 'darwin' or sys_platform == 'linux'" },
@@ -3257,6 +3259,7 @@ provides-extras = ["mariadb", "postgres", "webserver"]
dev = [
{ name = "daphne" },
{ name = "factory-boy", specifier = "~=3.3.1" },
{ name = "faker", specifier = "~=40.5.1" },
{ name = "imagehash" },
{ name = "prek", specifier = "~=0.3.0" },
{ name = "pytest", specifier = "~=9.0.0" },
@@ -3279,6 +3282,7 @@ lint = [
testing = [
{ name = "daphne" },
{ name = "factory-boy", specifier = "~=3.3.1" },
{ name = "faker", specifier = "~=40.5.1" },
{ name = "imagehash" },
{ name = "pytest", specifier = "~=9.0.0" },
{ name = "pytest-cov", specifier = "~=7.0.0" },

View File

@@ -36,7 +36,7 @@ extra_css = ["assets/extra.css"]
[project.theme]
logo = "assets/logo_leaf_white.svg"
logo = "assets/logo.svg"
favicon = "assets/favicon.png"
language = "en"