Feature: Convert remote AI parser to plugin system (#12334)

* Refactor: move remote parser, test, and sample to paperless.parsers

Relocates three files to their new homes in the parser plugin system:

- src/paperless_remote/parsers.py
    → src/paperless/parsers/remote.py
- src/paperless_remote/tests/test_parser.py
    → src/paperless/tests/parsers/test_remote_parser.py
- src/paperless_remote/tests/samples/simple-digital.pdf
    → src/paperless/tests/samples/remote/simple-digital.pdf

Content and imports will be updated in the follow-up commit that
rewrites the parser to the new ParserProtocol interface.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* Feature: migrate RemoteDocumentParser to ParserProtocol interface

Rewrites the remote OCR parser to the new plugin system contract:

- `supported_mime_types()` is now a classmethod that always returns the
  full set of 7 MIME types; the old instance-method hack (returning {}
  when unconfigured) is removed
- `score()` classmethod returns None when no remote engine is configured
  (making the parser invisible to the registry), and 20 when active —
  higher than the tesseract default of 10 so the remote engine takes
  priority when both are available
- No longer inherits from RasterisedDocumentParser; inherits no parser
  class at all — just implements the protocol directly
- `can_produce_archive = True`; `requires_pdf_rendition = False`
- `_azure_ai_vision_parse()` takes explicit config arg; API client
  created and closed within the method
- `get_page_count()` returns the PDF page count for application/pdf,
  delegating to the new `get_page_count_for_pdf()` utility
- `extract_metadata()` delegates to `extract_pdf_metadata()` for PDFs;
  returns [] for all other MIME types

New files:
- `src/paperless/parsers/utils.py` — shared `extract_pdf_metadata()` and
  `get_page_count_for_pdf()` utilities (pikepdf-based); both the remote
  and tesseract parsers will use these going forward
- `src/paperless/tests/parsers/test_remote_parser.py` — 42 pytest-style
  tests using pytest-django `settings` and pytest-mock `mocker` fixtures
- `src/paperless/tests/parsers/conftest.py` — remote parser instance,
  sample-file, and settings-helper fixtures

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* Refactor: use fixture factory and usefixtures in remote parser tests

- `_make_azure_mock` helper promoted to `make_azure_mock` factory fixture
  in conftest.py; tests call `make_azure_mock()` or
  `make_azure_mock("custom text")` instead of a module-level function
- `azure_settings` and `no_engine_settings` applied via
  `@pytest.mark.usefixtures` wherever their value is not referenced
  inside the test body; `TestRemoteParserParseError` marked at the class
  level since all three tests need the same setting

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* Refactor: improve remote parser test fixture structure

- make_azure_mock moved from conftest.py back into test_remote_parser.py;
  it is specific to that module and does not belong in shared fixtures
- azure_client fixture composes azure_settings + make_azure_mock + patch
  in one step; tests no longer repeat the mocker.patch call or carry an
  unused azure_settings parameter
- failing_azure_client fixture similarly composes azure_settings + patch
  with a RuntimeError side effect; TestRemoteParserParseError now only
  receives the mock it actually uses
- All @pytest.mark.parametrize calls use pytest.param with explicit ids
  (pdf, png, jpeg, ...) for readable test output

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* Refactor: wire RemoteDocumentParser into consumer and fix signals

- paperless_remote/signals.py: import from paperless.parsers.remote
  (new location after git mv). supported_mime_types() is now a
  classmethod that always returns the full set, so get_supported_mime_types()
  in the signal layer explicitly checks RemoteEngineConfig validity and
  returns {} when unconfigured — preserving the old behaviour where an
  unconfigured remote parser does not register for any MIME types.

- documents/consumer.py: extend the _parser_cleanup() shim, parse()
  dispatch, and get_thumbnail() dispatch to include RemoteDocumentParser
  alongside TextDocumentParser. Both new-style parsers use __exit__
  for cleanup and take (document_path, mime_type) without a file_name
  argument.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* Refactor: fix type errors in remote parser and signals

- remote.py: add `if TYPE_CHECKING: assert` guards before the Azure
  client construction to narrow config.endpoint and config.api_key from
  str|None to str. The narrowing is safe: engine_is_valid() guarantees
  both are non-None when it returns True (api_key explicitly; endpoint
  via `not (engine=="azureai" and endpoint is None)` for the only valid
  engine). Asserts are wrapped in TYPE_CHECKING so they carry zero
  runtime cost.

- signals.py: add full type annotations — return types, Any-typed
  sender parameter, and explicit logging_group argument replacing *args.
  Add `from __future__ import annotations` for consistent annotation style.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* Fix: get_parser factory forwards logging_group, drops progress_callback

consumer.py calls parser_class(logging_group, progress_callback=...).
RemoteDocumentParser.__init__ accepts logging_group but not
progress_callback, so only the latter is dropped — matching the pattern
established by the TextDocumentParser signals shim.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* Fix: text parser get_parser forwards logging_group, drops progress_callback

TextDocumentParser.__init__ accepts logging_group: object = None, same
as RemoteDocumentParser. The old shim incorrectly dropped it; fix to
forward it as a positional arg and only drop progress_callback.
Add type annotations and from __future__ import annotations for
consistency with the remote parser signals shim.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Trenton HandClaude Sonnet 4.6 authored and GitHub committed 2026-03-18 16:19:46 -07:00
1 parent b0bb31654f
commit 2cbe6ae892
11 files changed
+1191 -262

No files matched your search

+2
View File
@@ -193,10 +193,12 @@ class ParserRegistry:
that log output is predictable; scoring determines which parser wins
at runtime regardless of registration order.
"""
from paperless.parsers.remote import RemoteDocumentParser
from paperless.parsers.text import TextDocumentParser
from paperless.parsers.tika import TikaDocumentParser
self.register_builtin(TextDocumentParser)
self.register_builtin(RemoteDocumentParser)
self.register_builtin(TikaDocumentParser)
# ------------------------------------------------------------------
+429
View File
@@ -0,0 +1,429 @@
"""
Built-in remote-OCR document parser.
Handles documents by sending them to a configured remote OCR engine
(currently Azure AI Vision / Document Intelligence) and retrieving both
the extracted text and a searchable PDF with an embedded text layer.
When no engine is configured, ``score()`` returns ``None`` so the parser
is effectively invisible to the registry — the tesseract parser handles
these MIME types instead.
"""
from __future__ import annotations
import logging
import shutil
import tempfile
from pathlib import Path
from typing import TYPE_CHECKING
from typing import Self
from django.conf import settings
from paperless.version import __full_version_str__
if TYPE_CHECKING:
import datetime
from types import TracebackType
from paperless.parsers import MetadataEntry
logger = logging.getLogger("paperless.parsing.remote")
_SUPPORTED_MIME_TYPES: dict[str, str] = {
"application/pdf": ".pdf",
"image/png": ".png",
"image/jpeg": ".jpg",
"image/tiff": ".tiff",
"image/bmp": ".bmp",
"image/gif": ".gif",
"image/webp": ".webp",
}
class RemoteEngineConfig:
"""Holds and validates the remote OCR engine configuration."""
def __init__(
self,
engine: str | None,
api_key: str | None = None,
endpoint: str | None = None,
) -> None:
self.engine = engine
self.api_key = api_key
self.endpoint = endpoint
def engine_is_valid(self) -> bool:
"""Return True when the engine is known and fully configured."""
return (
self.engine in ("azureai",)
and self.api_key is not None
and not (self.engine == "azureai" and self.endpoint is None)
)
class RemoteDocumentParser:
"""Parse documents via a remote OCR API (currently Azure AI Vision).
This parser sends documents to a remote engine that returns both
extracted text and a searchable PDF with an embedded text layer.
It does not depend on Tesseract or ocrmypdf.
Class attributes
----------------
name : str
Human-readable parser name.
version : str
Semantic version string, kept in sync with Paperless-ngx releases.
author : str
Maintainer name.
url : str
Issue tracker / source URL.
"""
name: str = "Paperless-ngx Remote OCR Parser"
version: str = __full_version_str__
author: str = "Paperless-ngx Contributors"
url: str = "https://github.com/paperless-ngx/paperless-ngx"
# ------------------------------------------------------------------
# Class methods
# ------------------------------------------------------------------
@classmethod
def supported_mime_types(cls) -> dict[str, str]:
"""Return the MIME types this parser can handle.
The full set is always returned regardless of whether a remote
engine is configured. The ``score()`` method handles the
"am I active?" logic by returning ``None`` when not configured.
Returns
-------
dict[str, str]
Mapping of MIME type to preferred file extension.
"""
return _SUPPORTED_MIME_TYPES
@classmethod
def score(
cls,
mime_type: str,
filename: str,
path: Path | None = None,
) -> int | None:
"""Return the priority score for handling this file, or None.
Returns ``None`` when no valid remote engine is configured,
making the parser invisible to the registry for this file.
When configured, returns 20 — higher than the Tesseract parser's
default of 10 — so the remote engine takes priority.
Parameters
----------
mime_type:
Detected MIME type of the file.
filename:
Original filename including extension.
path:
Optional filesystem path. Not inspected by this parser.
Returns
-------
int | None
20 when the remote engine is configured and the MIME type is
supported, otherwise None.
"""
config = RemoteEngineConfig(
engine=settings.REMOTE_OCR_ENGINE,
api_key=settings.REMOTE_OCR_API_KEY,
endpoint=settings.REMOTE_OCR_ENDPOINT,
)
if not config.engine_is_valid():
return None
if mime_type not in _SUPPORTED_MIME_TYPES:
return None
return 20
# ------------------------------------------------------------------
# Properties
# ------------------------------------------------------------------
@property
def can_produce_archive(self) -> bool:
"""Whether this parser can produce a searchable PDF archive copy.
Returns
-------
bool
Always True — the remote engine always returns a PDF with an
embedded text layer that serves as the archive copy.
"""
return True
@property
def requires_pdf_rendition(self) -> bool:
"""Whether the parser must produce a PDF for the frontend to display.
Returns
-------
bool
Always False — all supported originals are displayable by
the browser (PDF) or handled via the archive copy (images).
"""
return False
# ------------------------------------------------------------------
# Lifecycle
# ------------------------------------------------------------------
def __init__(self, logging_group: object = None) -> None:
settings.SCRATCH_DIR.mkdir(parents=True, exist_ok=True)
self._tempdir = Path(
tempfile.mkdtemp(prefix="paperless-", dir=settings.SCRATCH_DIR),
)
self._logging_group = logging_group
self._text: str | None = None
self._archive_path: Path | None = None
def __enter__(self) -> Self:
return self
def __exit__(
self,
exc_type: type[BaseException] | None,
exc_val: BaseException | None,
exc_tb: TracebackType | None,
) -> None:
logger.debug("Cleaning up temporary directory %s", self._tempdir)
shutil.rmtree(self._tempdir, ignore_errors=True)
# ------------------------------------------------------------------
# Core parsing interface
# ------------------------------------------------------------------
def parse(
self,
document_path: Path,
mime_type: str,
*,
produce_archive: bool = True,
) -> None:
"""Send the document to the remote engine and store results.
Parameters
----------
document_path:
Absolute path to the document file to parse.
mime_type:
Detected MIME type of the document.
produce_archive:
Ignored — the remote engine always returns a searchable PDF,
which is stored as the archive copy regardless of this flag.
"""
config = RemoteEngineConfig(
engine=settings.REMOTE_OCR_ENGINE,
api_key=settings.REMOTE_OCR_API_KEY,
endpoint=settings.REMOTE_OCR_ENDPOINT,
)
if not config.engine_is_valid():
logger.warning(
"No valid remote parser engine is configured, content will be empty.",
)
self._text = ""
return
if config.engine == "azureai":
self._text = self._azure_ai_vision_parse(document_path, config)
# ------------------------------------------------------------------
# Result accessors
# ------------------------------------------------------------------
def get_text(self) -> str | None:
"""Return the plain-text content extracted during parse."""
return self._text
def get_date(self) -> datetime.datetime | None:
"""Return the document date detected during parse.
Returns
-------
datetime.datetime | None
Always None — the remote parser does not detect dates.
"""
return None
def get_archive_path(self) -> Path | None:
"""Return the path to the generated archive PDF, or None."""
return self._archive_path
# ------------------------------------------------------------------
# Thumbnail and metadata
# ------------------------------------------------------------------
def get_thumbnail(self, document_path: Path, mime_type: str) -> Path:
"""Generate a thumbnail image for the document.
Uses the archive PDF produced by the remote engine when available,
otherwise falls back to the original document path (PDF inputs).
Parameters
----------
document_path:
Absolute path to the source document.
mime_type:
Detected MIME type of the document.
Returns
-------
Path
Path to the generated WebP thumbnail inside the temp directory.
"""
# make_thumbnail_from_pdf lives in documents.parsers for now;
# it will move to paperless.parsers.utils when the tesseract
# parser is migrated in a later phase.
from documents.parsers import make_thumbnail_from_pdf
return make_thumbnail_from_pdf(
self._archive_path or document_path,
self._tempdir,
self._logging_group,
)
def get_page_count(
self,
document_path: Path,
mime_type: str,
) -> int | None:
"""Return the number of pages in a PDF document.
Parameters
----------
document_path:
Absolute path to the source document.
mime_type:
Detected MIME type of the document.
Returns
-------
int | None
Page count for PDF inputs, or ``None`` for other MIME types.
"""
if mime_type != "application/pdf":
return None
from paperless.parsers.utils import get_page_count_for_pdf
return get_page_count_for_pdf(document_path, log=logger)
def extract_metadata(
self,
document_path: Path,
mime_type: str,
) -> list[MetadataEntry]:
"""Extract format-specific metadata from the document.
Delegates to the shared pikepdf-based extractor for PDF files.
Returns ``[]`` for all other MIME types.
Parameters
----------
document_path:
Absolute path to the file to extract metadata from.
mime_type:
MIME type of the file. May be ``"application/pdf"`` when
called for the archive version of an image original.
Returns
-------
list[MetadataEntry]
Zero or more metadata entries.
"""
if mime_type != "application/pdf":
return []
from paperless.parsers.utils import extract_pdf_metadata
return extract_pdf_metadata(document_path, log=logger)
# ------------------------------------------------------------------
# Private helpers
# ------------------------------------------------------------------
def _azure_ai_vision_parse(
self,
file: Path,
config: RemoteEngineConfig,
) -> str | None:
"""Send ``file`` to Azure AI Document Intelligence and return text.
Downloads the searchable PDF output from Azure and stores it at
``self._archive_path``. Returns the extracted text content, or
``None`` on failure (the error is logged).
Parameters
----------
file:
Absolute path to the document to analyse.
config:
Validated remote engine configuration.
Returns
-------
str | None
Extracted text, or None if the Azure call failed.
"""
if TYPE_CHECKING:
# Callers must have already validated config via engine_is_valid():
# engine_is_valid() asserts api_key is not None and (for azureai)
# endpoint is not None, so these casts are provably safe.
assert config.endpoint is not None
assert config.api_key is not None
from azure.ai.documentintelligence import DocumentIntelligenceClient
from azure.ai.documentintelligence.models import AnalyzeDocumentRequest
from azure.ai.documentintelligence.models import AnalyzeOutputOption
from azure.ai.documentintelligence.models import DocumentContentFormat
from azure.core.credentials import AzureKeyCredential
client = DocumentIntelligenceClient(
endpoint=config.endpoint,
credential=AzureKeyCredential(config.api_key),
)
try:
with file.open("rb") as f:
analyze_request = AnalyzeDocumentRequest(bytes_source=f.read())
poller = client.begin_analyze_document(
model_id="prebuilt-read",
body=analyze_request,
output_content_format=DocumentContentFormat.TEXT,
output=[AnalyzeOutputOption.PDF],
content_type="application/json",
)
poller.wait()
result_id = poller.details["operation_id"]
result = poller.result()
self._archive_path = self._tempdir / "archive.pdf"
with self._archive_path.open("wb") as f:
for chunk in client.get_analyze_result_pdf(
model_id="prebuilt-read",
result_id=result_id,
):
f.write(chunk)
return result.content
except Exception as e:
logger.error("Azure AI Vision parsing failed: %s", e)
finally:
client.close()
return None
+130
View File
@@ -0,0 +1,130 @@
"""
Shared utilities for Paperless-ngx document parsers.
Functions here are format-neutral helpers that multiple parsers need.
Keeping them here avoids parsers inheriting from each other just to
share implementation.
"""
from __future__ import annotations
import logging
import re
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from pathlib import Path
from paperless.parsers import MetadataEntry
logger = logging.getLogger("paperless.parsers.utils")
def get_page_count_for_pdf(
document_path: Path,
log: logging.Logger | None = None,
) -> int | None:
"""Return the number of pages in a PDF file using pikepdf.
Parameters
----------
document_path:
Absolute path to the PDF file.
log:
Logger to use for warnings. Falls back to the module-level logger
when omitted.
Returns
-------
int | None
Page count, or ``None`` if the file cannot be opened or is not a
valid PDF.
"""
import pikepdf
_log = log or logger
try:
with pikepdf.Pdf.open(document_path) as pdf:
return len(pdf.pages)
except Exception as e:
_log.warning("Unable to determine PDF page count for %s: %s", document_path, e)
return None
def extract_pdf_metadata(
document_path: Path,
log: logging.Logger | None = None,
) -> list[MetadataEntry]:
"""Extract XMP/PDF metadata from a PDF file using pikepdf.
Reads all XMP metadata entries from the document and returns them as a
list of ``MetadataEntry`` dicts. The method never raises — any failure
to open the file or read a specific key is logged and skipped.
Parameters
----------
document_path:
Absolute path to the PDF file.
log:
Logger to use for warnings and debug messages. Falls back to the
module-level logger when omitted.
Returns
-------
list[MetadataEntry]
Zero or more metadata entries. Returns ``[]`` if the file cannot
be opened or contains no readable XMP metadata.
"""
import pikepdf
from paperless.parsers import MetadataEntry
_log = log or logger
result: list[MetadataEntry] = []
namespace_pattern = re.compile(r"\{(.*)\}(.*)")
try:
pdf = pikepdf.open(document_path)
meta = pdf.open_metadata()
except Exception as e:
_log.warning("Could not open PDF metadata for %s: %s", document_path, e)
return []
for key, value in meta.items():
if isinstance(value, list):
value = " ".join(str(e) for e in value)
value = str(value)
try:
m = namespace_pattern.match(key)
if m is None:
continue
namespace = m.group(1)
key_value = m.group(2)
try:
namespace.encode("utf-8")
key_value.encode("utf-8")
except UnicodeEncodeError as enc_err:
_log.debug("Skipping metadata key %s: %s", key, enc_err)
continue
result.append(
MetadataEntry(
namespace=namespace,
prefix=meta.REVERSE_NS[namespace],
key=key_value,
value=value,
),
)
except Exception as e:
_log.warning(
"Error reading metadata key %s value %s: %s",
key,
value,
e,
)
return result
+89
View File
@@ -10,6 +10,7 @@ from typing import TYPE_CHECKING
import pytest
from paperless.parsers.remote import RemoteDocumentParser
from paperless.parsers.text import TextDocumentParser
from paperless.parsers.tika import TikaDocumentParser
@@ -17,6 +18,8 @@ if TYPE_CHECKING:
from collections.abc import Generator
from pathlib import Path
from pytest_django.fixtures import SettingsWrapper
# ------------------------------------------------------------------
# Text parser sample files
@@ -77,6 +80,92 @@ def text_parser() -> Generator[TextDocumentParser, None, None]:
yield parser
# ------------------------------------------------------------------
# Remote parser sample files
# ------------------------------------------------------------------
@pytest.fixture(scope="session")
def remote_samples_dir(samples_dir: Path) -> Path:
"""Absolute path to the remote parser sample files directory.
Returns
-------
Path
``<samples_dir>/remote/``
"""
return samples_dir / "remote"
@pytest.fixture(scope="session")
def sample_pdf_file(remote_samples_dir: Path) -> Path:
"""Path to a simple digital PDF sample file.
Returns
-------
Path
Absolute path to ``remote/simple-digital.pdf``.
"""
return remote_samples_dir / "simple-digital.pdf"
# ------------------------------------------------------------------
# Remote parser instance
# ------------------------------------------------------------------
@pytest.fixture()
def remote_parser() -> Generator[RemoteDocumentParser, None, None]:
"""Yield a RemoteDocumentParser and clean up its temporary directory afterwards.
Yields
------
RemoteDocumentParser
A ready-to-use parser instance.
"""
with RemoteDocumentParser() as parser:
yield parser
# ------------------------------------------------------------------
# Remote parser settings helpers
# ------------------------------------------------------------------
@pytest.fixture()
def azure_settings(settings: SettingsWrapper) -> SettingsWrapper:
"""Configure Django settings for a valid Azure AI OCR engine.
Sets ``REMOTE_OCR_ENGINE``, ``REMOTE_OCR_API_KEY``, and
``REMOTE_OCR_ENDPOINT`` to test values. Settings are restored
automatically after the test by pytest-django.
Returns
-------
SettingsWrapper
The modified settings object (for chaining further overrides).
"""
settings.REMOTE_OCR_ENGINE = "azureai"
settings.REMOTE_OCR_API_KEY = "test-api-key"
settings.REMOTE_OCR_ENDPOINT = "https://test.cognitiveservices.azure.com"
return settings
@pytest.fixture()
def no_engine_settings(settings: SettingsWrapper) -> SettingsWrapper:
"""Configure Django settings with no remote engine configured.
Returns
-------
SettingsWrapper
The modified settings object.
"""
settings.REMOTE_OCR_ENGINE = None
settings.REMOTE_OCR_API_KEY = None
settings.REMOTE_OCR_ENDPOINT = None
return settings
# ------------------------------------------------------------------
# Tika parser sample files
# ------------------------------------------------------------------
@@ -0,0 +1,490 @@
"""
Tests for paperless.parsers.remote.RemoteDocumentParser.
All tests use the context-manager protocol for parser lifecycle.
Fixture layout
--------------
make_azure_mock — factory (defined here; specific to this module)
azure_client — composes azure_settings + make_azure_mock + patch;
use when a test needs the client to succeed
failing_azure_client
— composes azure_settings + patch with RuntimeError;
use when a test needs the client to fail
"""
from __future__ import annotations
from typing import TYPE_CHECKING
from unittest.mock import Mock
import pytest
from paperless.parsers import ParserProtocol
from paperless.parsers.remote import RemoteDocumentParser
if TYPE_CHECKING:
from collections.abc import Callable
from pathlib import Path
from pytest_django.fixtures import SettingsWrapper
from pytest_mock import MockerFixture
# ---------------------------------------------------------------------------
# Module-local fixtures
# ---------------------------------------------------------------------------
_AZURE_CLIENT_TARGET = "azure.ai.documentintelligence.DocumentIntelligenceClient"
_DEFAULT_TEXT = "Extracted text."
@pytest.fixture()
def make_azure_mock() -> Callable[[str], Mock]:
"""Return a factory that builds a mock Azure DocumentIntelligenceClient.
Usage::
mock_client = make_azure_mock() # default extracted text
mock_client = make_azure_mock("My text.") # custom extracted text
"""
def _factory(text: str = _DEFAULT_TEXT) -> Mock:
mock_client = Mock()
mock_poller = Mock()
mock_poller.wait.return_value = None
mock_poller.details = {"operation_id": "fake-op-id"}
mock_poller.result.return_value.content = text
mock_client.begin_analyze_document.return_value = mock_poller
mock_client.get_analyze_result_pdf.return_value = [b"%PDF-1.4 FAKE"]
return mock_client
return _factory
@pytest.fixture()
def azure_client(
azure_settings: SettingsWrapper,
make_azure_mock: Callable[[str], Mock],
mocker: MockerFixture,
) -> Mock:
"""Patch the Azure DI client with a succeeding mock and return the instance.
Implicitly applies ``azure_settings`` so tests using this fixture do not
also need ``@pytest.mark.usefixtures("azure_settings")``.
"""
mock_client = make_azure_mock()
mocker.patch(_AZURE_CLIENT_TARGET, return_value=mock_client)
return mock_client
@pytest.fixture()
def failing_azure_client(
azure_settings: SettingsWrapper,
mocker: MockerFixture,
) -> Mock:
"""Patch the Azure DI client to raise RuntimeError on every call.
Implicitly applies ``azure_settings``. Returns the mock instance so
tests can assert on calls such as ``close()``.
"""
mock_client = Mock()
mock_client.begin_analyze_document.side_effect = RuntimeError("network failure")
mocker.patch(_AZURE_CLIENT_TARGET, return_value=mock_client)
return mock_client
# ---------------------------------------------------------------------------
# Protocol contract
# ---------------------------------------------------------------------------
class TestRemoteParserProtocol:
"""Verify that RemoteDocumentParser satisfies the ParserProtocol contract."""
def test_isinstance_satisfies_protocol(
self,
remote_parser: RemoteDocumentParser,
) -> None:
assert isinstance(remote_parser, ParserProtocol)
def test_class_attributes_present(self) -> None:
assert isinstance(RemoteDocumentParser.name, str) and RemoteDocumentParser.name
assert (
isinstance(RemoteDocumentParser.version, str)
and RemoteDocumentParser.version
)
assert (
isinstance(RemoteDocumentParser.author, str) and RemoteDocumentParser.author
)
assert isinstance(RemoteDocumentParser.url, str) and RemoteDocumentParser.url
# ---------------------------------------------------------------------------
# supported_mime_types
# ---------------------------------------------------------------------------
class TestRemoteParserSupportedMimeTypes:
"""supported_mime_types() always returns the full set regardless of config."""
def test_returns_dict(self) -> None:
mime_types = RemoteDocumentParser.supported_mime_types()
assert isinstance(mime_types, dict)
def test_includes_all_expected_types(self) -> None:
mime_types = RemoteDocumentParser.supported_mime_types()
expected = {
"application/pdf",
"image/png",
"image/jpeg",
"image/tiff",
"image/bmp",
"image/gif",
"image/webp",
}
assert expected == set(mime_types.keys())
@pytest.mark.usefixtures("no_engine_settings")
def test_returns_full_set_when_not_configured(self) -> None:
"""
GIVEN: No remote engine is configured
WHEN: supported_mime_types() is called
THEN: The full MIME type dict is still returned (score() handles activation)
"""
mime_types = RemoteDocumentParser.supported_mime_types()
assert len(mime_types) == 7
# ---------------------------------------------------------------------------
# score()
# ---------------------------------------------------------------------------
class TestRemoteParserScore:
"""score() encodes the activation logic: None when unconfigured, 20 when active."""
@pytest.mark.usefixtures("azure_settings")
@pytest.mark.parametrize(
"mime_type",
[
pytest.param("application/pdf", id="pdf"),
pytest.param("image/png", id="png"),
pytest.param("image/jpeg", id="jpeg"),
pytest.param("image/tiff", id="tiff"),
pytest.param("image/bmp", id="bmp"),
pytest.param("image/gif", id="gif"),
pytest.param("image/webp", id="webp"),
],
)
def test_score_returns_20_when_configured(self, mime_type: str) -> None:
result = RemoteDocumentParser.score(mime_type, "doc.pdf")
assert result == 20
@pytest.mark.usefixtures("no_engine_settings")
@pytest.mark.parametrize(
"mime_type",
[
pytest.param("application/pdf", id="pdf"),
pytest.param("image/png", id="png"),
pytest.param("image/jpeg", id="jpeg"),
],
)
def test_score_returns_none_when_no_engine(self, mime_type: str) -> None:
result = RemoteDocumentParser.score(mime_type, "doc.pdf")
assert result is None
def test_score_returns_none_when_api_key_missing(
self,
settings: SettingsWrapper,
) -> None:
settings.REMOTE_OCR_ENGINE = "azureai"
settings.REMOTE_OCR_API_KEY = None
settings.REMOTE_OCR_ENDPOINT = "https://test.cognitiveservices.azure.com"
result = RemoteDocumentParser.score("application/pdf", "doc.pdf")
assert result is None
def test_score_returns_none_when_endpoint_missing(
self,
settings: SettingsWrapper,
) -> None:
settings.REMOTE_OCR_ENGINE = "azureai"
settings.REMOTE_OCR_API_KEY = "key"
settings.REMOTE_OCR_ENDPOINT = None
result = RemoteDocumentParser.score("application/pdf", "doc.pdf")
assert result is None
@pytest.mark.usefixtures("azure_settings")
def test_score_returns_none_for_unsupported_mime_type(self) -> None:
result = RemoteDocumentParser.score("text/plain", "doc.txt")
assert result is None
@pytest.mark.usefixtures("azure_settings")
def test_score_higher_than_tesseract_default(self) -> None:
"""Remote parser (20) outranks the tesseract default (10) when configured."""
score = RemoteDocumentParser.score("application/pdf", "doc.pdf")
assert score is not None and score > 10
# ---------------------------------------------------------------------------
# Properties
# ---------------------------------------------------------------------------
class TestRemoteParserProperties:
def test_can_produce_archive_is_true(
self,
remote_parser: RemoteDocumentParser,
) -> None:
assert remote_parser.can_produce_archive is True
def test_requires_pdf_rendition_is_false(
self,
remote_parser: RemoteDocumentParser,
) -> None:
assert remote_parser.requires_pdf_rendition is False
# ---------------------------------------------------------------------------
# Lifecycle
# ---------------------------------------------------------------------------
class TestRemoteParserLifecycle:
def test_context_manager_cleans_up_tempdir(self) -> None:
with RemoteDocumentParser() as parser:
tempdir = parser._tempdir
assert tempdir.exists()
assert not tempdir.exists()
def test_context_manager_cleans_up_after_exception(self) -> None:
tempdir: Path | None = None
with pytest.raises(RuntimeError):
with RemoteDocumentParser() as parser:
tempdir = parser._tempdir
raise RuntimeError("boom")
assert tempdir is not None
assert not tempdir.exists()
# ---------------------------------------------------------------------------
# parse() — happy path
# ---------------------------------------------------------------------------
class TestRemoteParserParse:
def test_parse_returns_text_from_azure(
self,
remote_parser: RemoteDocumentParser,
sample_pdf_file: Path,
azure_client: Mock,
) -> None:
remote_parser.parse(sample_pdf_file, "application/pdf")
assert remote_parser.get_text() == _DEFAULT_TEXT
def test_parse_sets_archive_path(
self,
remote_parser: RemoteDocumentParser,
sample_pdf_file: Path,
azure_client: Mock,
) -> None:
remote_parser.parse(sample_pdf_file, "application/pdf")
archive = remote_parser.get_archive_path()
assert archive is not None
assert archive.exists()
assert archive.suffix == ".pdf"
def test_parse_closes_client_on_success(
self,
remote_parser: RemoteDocumentParser,
sample_pdf_file: Path,
azure_client: Mock,
) -> None:
remote_parser.parse(sample_pdf_file, "application/pdf")
azure_client.close.assert_called_once()
@pytest.mark.usefixtures("no_engine_settings")
def test_parse_sets_empty_text_when_not_configured(
self,
remote_parser: RemoteDocumentParser,
sample_pdf_file: Path,
) -> None:
remote_parser.parse(sample_pdf_file, "application/pdf")
assert remote_parser.get_text() == ""
assert remote_parser.get_archive_path() is None
def test_get_text_none_before_parse(
self,
remote_parser: RemoteDocumentParser,
) -> None:
assert remote_parser.get_text() is None
def test_get_date_always_none(
self,
remote_parser: RemoteDocumentParser,
sample_pdf_file: Path,
azure_client: Mock,
) -> None:
remote_parser.parse(sample_pdf_file, "application/pdf")
assert remote_parser.get_date() is None
# ---------------------------------------------------------------------------
# parse() — Azure failure path
# ---------------------------------------------------------------------------
class TestRemoteParserParseError:
def test_parse_returns_none_on_azure_error(
self,
remote_parser: RemoteDocumentParser,
sample_pdf_file: Path,
failing_azure_client: Mock,
) -> None:
remote_parser.parse(sample_pdf_file, "application/pdf")
assert remote_parser.get_text() is None
def test_parse_closes_client_on_error(
self,
remote_parser: RemoteDocumentParser,
sample_pdf_file: Path,
failing_azure_client: Mock,
) -> None:
remote_parser.parse(sample_pdf_file, "application/pdf")
failing_azure_client.close.assert_called_once()
def test_parse_logs_error_on_azure_failure(
self,
remote_parser: RemoteDocumentParser,
sample_pdf_file: Path,
failing_azure_client: Mock,
mocker: MockerFixture,
) -> None:
mock_log = mocker.patch("paperless.parsers.remote.logger")
remote_parser.parse(sample_pdf_file, "application/pdf")
mock_log.error.assert_called_once()
assert "Azure AI Vision parsing failed" in mock_log.error.call_args[0][0]
# ---------------------------------------------------------------------------
# get_page_count()
# ---------------------------------------------------------------------------
class TestRemoteParserPageCount:
def test_page_count_for_pdf(
self,
remote_parser: RemoteDocumentParser,
sample_pdf_file: Path,
) -> None:
count = remote_parser.get_page_count(sample_pdf_file, "application/pdf")
assert isinstance(count, int)
assert count >= 1
def test_page_count_returns_none_for_image_mime(
self,
remote_parser: RemoteDocumentParser,
sample_pdf_file: Path,
) -> None:
count = remote_parser.get_page_count(sample_pdf_file, "image/png")
assert count is None
def test_page_count_returns_none_for_invalid_pdf(
self,
remote_parser: RemoteDocumentParser,
tmp_path: Path,
) -> None:
bad_pdf = tmp_path / "bad.pdf"
bad_pdf.write_bytes(b"not a pdf at all")
count = remote_parser.get_page_count(bad_pdf, "application/pdf")
assert count is None
# ---------------------------------------------------------------------------
# extract_metadata()
# ---------------------------------------------------------------------------
class TestRemoteParserMetadata:
def test_extract_metadata_non_pdf_returns_empty(
self,
remote_parser: RemoteDocumentParser,
sample_pdf_file: Path,
) -> None:
result = remote_parser.extract_metadata(sample_pdf_file, "image/png")
assert result == []
def test_extract_metadata_pdf_returns_list(
self,
remote_parser: RemoteDocumentParser,
sample_pdf_file: Path,
) -> None:
result = remote_parser.extract_metadata(sample_pdf_file, "application/pdf")
assert isinstance(result, list)
def test_extract_metadata_pdf_entries_have_required_keys(
self,
remote_parser: RemoteDocumentParser,
sample_pdf_file: Path,
) -> None:
result = remote_parser.extract_metadata(sample_pdf_file, "application/pdf")
for entry in result:
assert "namespace" in entry
assert "prefix" in entry
assert "key" in entry
assert "value" in entry
assert isinstance(entry["value"], str)
def test_extract_metadata_does_not_raise_on_invalid_pdf(
self,
remote_parser: RemoteDocumentParser,
tmp_path: Path,
) -> None:
bad_pdf = tmp_path / "bad.pdf"
bad_pdf.write_bytes(b"not a pdf at all")
result = remote_parser.extract_metadata(bad_pdf, "application/pdf")
assert result == []
# ---------------------------------------------------------------------------
# Registry integration
# ---------------------------------------------------------------------------
class TestRemoteParserRegistry:
def test_registered_in_defaults(self) -> None:
from paperless.parsers.registry import ParserRegistry
registry = ParserRegistry()
registry.register_defaults()
assert RemoteDocumentParser in registry._builtins
@pytest.mark.usefixtures("azure_settings")
def test_get_parser_returns_remote_when_configured(self) -> None:
from paperless.parsers.registry import get_parser_registry
registry = get_parser_registry()
parser_cls = registry.get_parser_for_file("application/pdf", "doc.pdf")
assert parser_cls is RemoteDocumentParser
@pytest.mark.usefixtures("no_engine_settings")
def test_get_parser_returns_none_for_pdf_when_not_configured(self) -> None:
"""With no tesseract parser registered yet, PDF has no handler if remote is off."""
from paperless.parsers.registry import ParserRegistry
registry = ParserRegistry()
registry.register_defaults()
parser_cls = registry.get_parser_for_file("application/pdf", "doc.pdf")
assert parser_cls is None