first version of the new consumer.

docs/changelog.rst

@@ -38,6 +38,19 @@ paperless-ng 0.9.0
   multi user solution, however, it allows more than one user to access the website
   and set some basic permissions / renew passwords.
 
+* **Modified:** Changes to the consumer:
+
+  * Now uses the excellent watchdog library that should make sure files are
+    discovered no matter what the platform is.
+  * The consumer now uses a task scheduler to run consumption processes in parallel.
+    This means that consuming many documents should be much faster on systems with
+    many cores.
+  * Concurrency is controlled with the new settings ``PAPERLESS_TASK_WORKERS``
+    and ``PAPERLESS_THREADS_PER_WORKER``. See TODO for details on concurrency.
+  * The consumer no longer blocks the database for extended periods of time.
+  * An issue with tesseract running multiple threads per page and slowing down
+    the consumer was fixed.
+
 * **Modified [breaking]:** REST Api changes:
 
   * New filters added, other filters removed (case sensitive filters, slug filters)
@@ -64,8 +77,8 @@ paperless-ng 0.9.0
   * Rework of the code of the tesseract parser. This is now a lot cleaner.
   * Rework of the filename handling code. It was a mess.
   * Fixed some issues with the document exporter not exporting all documents when encountering duplicate filenames.
-  * Consumer rework: now uses the excellent watchdog library, lots of code removed.
+  * Added a task scheduler that takes care of checking mail, training the classifier, maintaining the document search index
-  * Added a task scheduler that takes care of checking mail, training the classifier and maintaining the document search index.
+    and consuming documents.
   * Updated dependencies. Now uses Pipenv all around.
   * Updated Dockerfile and docker-compose. Now uses ``supervisord`` to run everything paperless-related in a single container.
 
@@ -77,6 +90,8 @@ paperless-ng 0.9.0
   * ``PAPERLESS_DEBUG`` defaults to ``false``.
   * The presence of ``PAPERLESS_DBHOST`` now determines whether to use PostgreSQL or
     sqlite.
+  * ``PAPERLESS_OCR_THREADS`` is gone and replaced with ``PAPERLESS_TASK_WORKERS`` and
+    ``PAPERLESS_THREADS_PER_WORKER``. See TODO for details.
 
 * Many more small changes here and there. The usual stuff.
 

src/documents/consumer.py

@@ -12,7 +12,7 @@ from django.utils import timezone
 from paperless.db import GnuPG
 from .classifier import DocumentClassifier, IncompatibleClassifierVersionError
 from .file_handling import generate_filename, create_source_path_directory
-from .models import Document, FileInfo
+from .models import Document, FileInfo, Correspondent, DocumentType, Tag
 from .parsers import ParseError, get_parser_class
 from .signals import (
     document_consumption_finished,
@@ -25,130 +25,196 @@ class ConsumerError(Exception):
 
 
 class Consumer:
-    """
-    Loop over every file found in CONSUMPTION_DIR and:
-      1. Convert it to a greyscale pnm
-      2. Use tesseract on the pnm
-      3. Store the document in the MEDIA_ROOT with optional encryption
-      4. Store the OCR'd text in the database
-      5. Delete the document and image(s)
-    """
 
-    def __init__(self, consume=settings.CONSUMPTION_DIR,
+    def __init__(self):
-                 scratch=settings.SCRATCH_DIR):
 
         self.logger = logging.getLogger(__name__)
         self.logging_group = None
 
-        self.consume = consume
-        self.scratch = scratch
-
-        self.classifier = DocumentClassifier()
-
-        os.makedirs(self.scratch, exist_ok=True)
-
         self.storage_type = Document.STORAGE_TYPE_UNENCRYPTED
         if settings.PASSPHRASE:
             self.storage_type = Document.STORAGE_TYPE_GPG
 
-        if not self.consume:
+    @staticmethod
+    def pre_check_file_exists(filename):
+        if not os.path.isfile(filename):
+            raise ConsumerError("Cannot consume {}: It is not a file".format(
+                filename))
+
+    @staticmethod
+    def pre_check_consumption_dir():
+        if not settings.CONSUMPTION_DIR:
             raise ConsumerError(
                 "The CONSUMPTION_DIR settings variable does not appear to be "
-                "set."
+                "set.")
+
+        if not os.path.isdir(settings.CONSUMPTION_DIR):
+            raise ConsumerError(
+                "Consumption directory {} does not exist".format(
+                    settings.CONSUMPTION_DIR))
+
+    @staticmethod
+    def pre_check_regex(filename):
+        if not re.match(FileInfo.REGEXES["title"], filename):
+            raise ConsumerError(
+                "Filename {} does not seem to be safe to "
+                "consume".format(filename))
+
+    @staticmethod
+    def pre_check_duplicate(filename):
+        with open(filename, "rb") as f:
+            checksum = hashlib.md5(f.read()).hexdigest()
+        if Document.objects.filter(checksum=checksum).exists():
+            if settings.CONSUMER_DELETE_DUPLICATES:
+                os.unlink(filename)
+            raise ConsumerError(
+                "Not consuming {}: It is a duplicate.".format(filename)
             )
 
-        if not os.path.exists(self.consume):
+    @staticmethod
-            raise ConsumerError(
+    def pre_check_scratch_fir():
-                "Consumption directory {} does not exist".format(self.consume))
+        os.makedirs(settings.SCRATCH_DIR, exist_ok=True)
 
     def log(self, level, message):
         getattr(self.logger, level)(message, extra={
             "group": self.logging_group
         })
 
-    @transaction.atomic
+    def try_consume_file(self,
-    def try_consume_file(self, file):
+                         filename,
+                         original_filename=None,
+                         force_title=None,
+                         force_correspondent_id=None,
+                         force_document_type_id=None,
+                         force_tag_ids=None):
         """
-        Return True if file was consumed
+        Return the document object if it was successfully created.
         """
 
+        # this is for grouping logging entries for this particular file
+        # together.
+
         self.logging_group = uuid.uuid4()
 
-        if not re.match(FileInfo.REGEXES["title"], file):
+        # Make sure that preconditions for consuming the file are met.
-            return False
 
-        doc = file
+        self.pre_check_file_exists(filename)
+        self.pre_check_consumption_dir()
+        self.pre_check_scratch_fir()
+        self.pre_check_regex(filename)
+        self.pre_check_duplicate(filename)
 
-        if self._is_duplicate(doc):
+        self.log("info", "Consuming {}".format(filename))
-            self.log(
-                "warning",
-                "Skipping {} as it appears to be a duplicate".format(doc)
-            )
-            if settings.CONSUMER_DELETE_DUPLICATES:
-                self._cleanup_doc(doc)
-            return False
 
-        self.log("info", "Consuming {}".format(doc))
+        # Determine the parser class.
 
-        parser_class = get_parser_class(doc)
+        parser_class = get_parser_class(original_filename or filename)
         if not parser_class:
-            self.log(
+            raise ConsumerError("No parsers abvailable for {}".format(filename))
-                "error", "No parsers could be found for {}".format(doc))
-            return False
         else:
-            self.log("info", "Parser: {}".format(parser_class.__name__))
+            self.log("debug", "Parser: {}".format(parser_class.__name__))
+
+        # Notify all listeners that we're going to do some work.
 
         document_consumption_started.send(
             sender=self.__class__,
-            filename=doc,
+            filename=filename,
             logging_group=self.logging_group
         )
 
-        document_parser = parser_class(doc, self.logging_group)
+        # This doesn't parse the document yet, but gives us a parser.
+
+        document_parser = parser_class(filename, self.logging_group)
+
+        # However, this already created working directories which we have to
+        # clean up.
+
+        # Parse the document. This may take some time.
 
         try:
-            self.log("info", "Generating thumbnail for {}...".format(doc))
+            self.log("debug", "Generating thumbnail for {}...".format(filename))
             thumbnail = document_parser.get_optimised_thumbnail()
+            self.log("debug", "Parsing {}...".format(filename))
             text = document_parser.get_text()
             date = document_parser.get_date()
-            document = self._store(
-                text,
-                doc,
-                thumbnail,
-                date
-            )
         except ParseError as e:
-            self.log("fatal", "PARSE FAILURE for {}: {}".format(doc, e))
             document_parser.cleanup()
-            return False
+            raise ConsumerError(e)
-        else:
-            document_parser.cleanup()
-            self._cleanup_doc(doc)
 
-            self.log(
+        # Prepare the document classifier.
-                "info",
-                "Document {} consumption finished".format(document)
-            )
 
+        # TODO: I don't really like to do this here, but this way we avoid
+        #   reloading the classifier multiple times, since there are multiple
+        #   post-consume hooks that all require the classifier.
+
+        try:
+            classifier = DocumentClassifier()
+            classifier.reload()
+        except (FileNotFoundError, IncompatibleClassifierVersionError) as e:
+            logging.getLogger(__name__).warning(
+                "Cannot classify documents: {}.".format(e))
             classifier = None
 
-            try:
+        # now that everything is done, we can start to store the document
-                self.classifier.reload()
+        # in the system. This will be a transaction and reasonably fast.
-                classifier = self.classifier
+        try:
-            except (FileNotFoundError, IncompatibleClassifierVersionError) as e:
+            with transaction.atomic():
-                logging.getLogger(__name__).warning("Cannot classify documents: {}.".format(e))
 
-            document_consumption_finished.send(
+                # store the document.
-                sender=self.__class__,
+                document = self._store(
-                document=document,
+                    text=text,
-                logging_group=self.logging_group,
+                    doc=filename,
-                classifier=classifier
+                    thumbnail=thumbnail,
-            )
+                    date=date,
-            return True
+                    original_filename=original_filename,
+                    force_title=force_title,
+                    force_correspondent_id=force_correspondent_id,
+                    force_document_type_id=force_document_type_id,
+                    force_tag_ids=force_tag_ids
+                )
 
-    def _store(self, text, doc, thumbnail, date):
+                # If we get here, it was successful. Proceed with post-consume
+                # hooks. If they fail, nothing will get changed.
 
-        file_info = FileInfo.from_path(doc)
+                document_consumption_finished.send(
+                    sender=self.__class__,
+                    document=document,
+                    logging_group=self.logging_group,
+                    classifier=classifier
+                )
+
+                # After everything is in the database, copy the files into
+                # place. If this fails, we'll also rollback the transaction.
+
+                create_source_path_directory(document.source_path)
+                self._write(document, filename, document.source_path)
+                self._write(document, thumbnail, document.thumbnail_path)
+
+                # Delete the file only if it was successfully consumed
+                self.log("debug", "Deleting document {}".format(filename))
+                os.unlink(filename)
+        except Exception as e:
+            raise ConsumerError(e)
+        finally:
+            document_parser.cleanup()
+
+        self.log(
+            "info",
+            "Document {} consumption finished".format(document)
+        )
+
+        return document
+
+    def _store(self, text, doc, thumbnail, date,
+               original_filename=None,
+               force_title=None,
+               force_correspondent_id=None,
+               force_document_type_id=None,
+               force_tag_ids=None):
+
+        # If someone gave us the original filename, use it instead of doc.
+
+        file_info = FileInfo.from_path(original_filename or doc)
 
         stats = os.stat(doc)
 
@@ -175,13 +241,21 @@ class Consumer:
             self.log("debug", "Tagging with {}".format(tag_names))
             document.tags.add(*relevant_tags)
 
+        if force_title:
+            document.title = force_title
+
+        if force_correspondent_id:
+            document.correspondent = Correspondent.objects.get(pk=force_correspondent_id)
+
+        if force_document_type_id:
+            document.document_type = DocumentType.objects.get(pk=force_document_type_id)
+
+        if force_tag_ids:
+            for tag_id in force_tag_ids:
+                document.tags.add(Tag.objects.get(pk=tag_id))
+
         document.filename = generate_filename(document)
 
-        create_source_path_directory(document.source_path)
-
-        self._write(document, doc, document.source_path)
-        self._write(document, thumbnail, document.thumbnail_path)
-
         # We need to save the document twice, since we need the PK of the
         # document in order to create its filename above.
         document.save()
@@ -196,13 +270,3 @@ class Consumer:
                     return
                 self.log("debug", "Encrypting")
                 write_file.write(GnuPG.encrypted(read_file))
-
-    def _cleanup_doc(self, doc):
-        self.log("debug", "Deleting document {}".format(doc))
-        os.unlink(doc)
-
-    @staticmethod
-    def _is_duplicate(doc):
-        with open(doc, "rb") as f:
-            checksum = hashlib.md5(f.read()).hexdigest()
-        return Document.objects.filter(checksum=checksum).exists()

src/documents/forms.py

@@ -1,9 +1,11 @@
 import os
+import tempfile
 from datetime import datetime
 from time import mktime
 
 from django import forms
 from django.conf import settings
+from django_q.tasks import async_task
 from pathvalidate import validate_filename, ValidationError
 
 
@@ -18,15 +20,6 @@ class UploadForm(forms.Form):
             raise forms.ValidationError("That filename is suspicious.")
         return self.cleaned_data.get("document")
 
-    def get_filename(self, i=None):
-        return os.path.join(
-            settings.CONSUMPTION_DIR,
-            "{}_{}".format(
-                str(i),
-                self.cleaned_data.get("document").name
-            ) if i else self.cleaned_data.get("document").name
-        )
-
     def save(self):
         """
         Since the consumer already does a lot of work, it's easier just to save
@@ -35,15 +28,13 @@ class UploadForm(forms.Form):
         """
 
         document = self.cleaned_data.get("document").read()
+        original_filename = self.cleaned_data.get("document").name
 
         t = int(mktime(datetime.now().timetuple()))
 
-        file_name = self.get_filename()
+        with tempfile.NamedTemporaryFile(prefix="paperless-upload-", suffix=".pdf", dir=settings.SCRATCH_DIR, delete=False) as f:
-        i = 0
-        while os.path.exists(file_name):
-            i += 1
-            file_name = self.get_filename(i)
 
-        with open(file_name, "wb") as f:
             f.write(document)
-            os.utime(file_name, times=(t, t))
+            os.utime(f.name, times=(t, t))
+
+            async_task("documents.tasks.consume_file", f.name, original_filename, task_name=os.path.basename(original_filename))

src/documents/management/commands/document_consumer.py

@@ -3,11 +3,10 @@ import os
 
 from django.conf import settings
 from django.core.management.base import BaseCommand
+from django_q.tasks import async_task
 from watchdog.events import FileSystemEventHandler
 from watchdog.observers import Observer
 
-from documents.consumer import Consumer
-
 try:
     from inotify_simple import INotify, flags
 except ImportError:
@@ -16,13 +15,10 @@ except ImportError:
 
 class Handler(FileSystemEventHandler):
 
-    def __init__(self, consumer):
-        self.consumer = consumer
-
     def _consume(self, file):
         if os.path.isfile(file):
             try:
-                self.consumer.try_consume_file(file)
+                async_task("documents.tasks.consume_file", file, task_name=os.path.basename(file))
             except Exception as e:
                 # Catch all so that the consumer won't crash.
                 logging.getLogger(__name__).error("Error while consuming document: {}".format(e))
@@ -49,8 +45,6 @@ class Command(BaseCommand):
         self.mail_fetcher = None
         self.first_iteration = True
 
-        self.consumer = Consumer()
-
         BaseCommand.__init__(self, *args, **kwargs)
 
     def add_arguments(self, parser):
@@ -78,11 +72,11 @@ class Command(BaseCommand):
         # Consume all files as this is not done initially by the watchdog
         for entry in os.scandir(directory):
             if entry.is_file():
-                self.consumer.try_consume_file(entry.path)
+                async_task("documents.tasks.consume_file", entry.path, task_name=os.path.basename(entry.path))
 
         # Start the watchdog. Woof!
         observer = Observer()
-        event_handler = Handler(self.consumer)
+        event_handler = Handler()
         observer.schedule(event_handler, directory, recursive=True)
         observer.start()
         try:

src/documents/tasks.py

@@ -6,6 +6,7 @@ from whoosh.writing import AsyncWriter
 from documents import index
 from documents.classifier import DocumentClassifier, \
     IncompatibleClassifierVersionError
+from documents.consumer import Consumer, ConsumerError
 from documents.mail import MailFetcher
 from documents.models import Document
 
@@ -54,3 +55,27 @@ def train_classifier():
         logging.getLogger(__name__).error(
             "Classifier error: " + str(e)
         )
+
+
+def consume_file(file,
+                 original_filename=None,
+                 force_title=None,
+                 force_correspondent_id=None,
+                 force_document_type_id=None,
+                 force_tag_ids=None):
+
+    document = Consumer().try_consume_file(
+        file,
+        original_filename=original_filename,
+        force_title=force_title,
+        force_correspondent_id=force_correspondent_id,
+        force_document_type_id=force_document_type_id,
+        force_tag_ids=force_tag_ids)
+
+    if document:
+        return "Success. New document id {} created".format(
+            document.pk
+        )
+    else:
+        raise ConsumerError("Unknown error: Returned document was null, but "
+                            "no error message was given.")

src/paperless/settings.py

@@ -1,4 +1,5 @@
 import json
+import math
 import multiprocessing
 import os
 import re
@@ -262,6 +263,26 @@ LOGGING = {
 # Task queue                                                                  #
 ###############################################################################
 
+
+# Sensible defaults for multitasking:
+# use a fair balance between worker processes and threads epr worker so that
+# both consuming many documents in parallel and consuming large documents is
+# reasonably fast.
+# Favors threads per worker on smaller systems and never exceeds cpu_count()
+# in total.
+
+def default_task_workers():
+    try:
+        return max(
+            math.floor(math.sqrt(multiprocessing.cpu_count())),
+            1
+        )
+    except NotImplementedError:
+        return 1
+
+
+TASK_WORKERS = int(os.getenv("PAPERLESS_TASK_WORKERS", default_task_workers()))
+
 Q_CLUSTER = {
     'name': 'paperless',
     'catch_up': False,
@@ -278,8 +299,6 @@ CONSUMER_DELETE_DUPLICATES = __get_boolean("PAPERLESS_CONSUMER_DELETE_DUPLICATES
 # documents.  It should be a 3-letter language code consistent with ISO 639.
 OCR_LANGUAGE = os.getenv("PAPERLESS_OCR_LANGUAGE", "eng")
 
-# The amount of threads to use for OCR
-OCR_THREADS = int(os.getenv("PAPERLESS_OCR_THREADS", multiprocessing.cpu_count()))
 
 # OCR all documents?
 OCR_ALWAYS = __get_boolean("PAPERLESS_OCR_ALWAYS", "false")

src/paperless_tesseract/parsers.py

@@ -2,7 +2,7 @@ import itertools
 import os
 import re
 import subprocess
-from multiprocessing.pool import Pool
+from multiprocessing.pool import ThreadPool
 
 import langdetect
 import pdftotext
@@ -151,7 +151,7 @@ class RasterisedDocumentParser(DocumentParser):
         self.log("info", "Running unpaper on {} pages...".format(len(pnms)))
 
         # Run unpaper in parallel on converted images
-        with Pool(processes=settings.OCR_THREADS) as pool:
+        with ThreadPool(processes=settings.THREADS_PER_WORKER) as pool:
             pnms = pool.map(run_unpaper, pnms)
 
         return sorted(filter(lambda __: os.path.isfile(__), pnms))
@@ -166,7 +166,7 @@ class RasterisedDocumentParser(DocumentParser):
 
     def _ocr(self, imgs, lang):
         self.log("info", "Performing OCR on {} page(s) with language {}".format(len(imgs), lang))
-        with Pool(processes=settings.OCR_THREADS) as pool:
+        with ThreadPool(processes=settings.THREADS_PER_WORKER) as pool:
             r = pool.map(image_to_string, itertools.product(imgs, [lang]))
             return r