removed unused dependencies from project, moved files process to external service

.env.example

@@ -15,3 +15,5 @@ LAST_FM_SECRET=
 SPOTIFY_ID=
 SPOTIFY_SECRET=
 YANDEX_TOKEN=
+PREVIEW_SERVICE_API_KEY=
+PREVIEW_SERVICE_URL=

akarpov/common/ml/text.py

@@ -1,51 +0,0 @@
-import pycld2 as cld2
-import spacy
-import torch
-from transformers import AutoModel, AutoTokenizer
-
-# load ml classes and models on first request
-# TODO: move to outer server/service
-nlp = None
-ru_nlp = None
-
-ru_model = None
-ru_tokenizer = None
-device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
-
-
-def get_text_embedding(text: str):
-    global nlp, ru_nlp, ru_model, ru_tokenizer
-
-    is_reliable, text_bytes_found, details = cld2.detect(text)
-    if is_reliable:
-        lang = details[0]
-        if lang[1] in ["ru", "en"]:
-            lang = lang[1]
-        else:
-            return None
-    else:
-        return None
-
-    if lang == "ru":
-        if not ru_nlp:
-            ru_nlp = spacy.load("ru_core_news_md", disable=["parser", "ner"])
-        lema = " ".join([token.lemma_ for token in ru_nlp(text)])
-        if not ru_model:
-            ru_model = AutoModel.from_pretrained("DeepPavlov/rubert-base-cased")
-        if not ru_tokenizer:
-            ru_tokenizer = AutoTokenizer.from_pretrained("DeepPavlov/rubert-base-cased")
-        encodings = ru_tokenizer(
-            lema,  # the texts to be tokenized
-            padding=True,  # pad the texts to the maximum length (so that all outputs have the same length)
-            return_tensors="pt",  # return the tensors (not lists)
-        )
-        with torch.no_grad():
-            # get the model embeddings
-            embeds = ru_model(**encodings)
-        embeds = embeds[0]
-    elif lang == "en":
-        embeds = None
-    else:
-        embeds = None
-
-    return embeds

akarpov/files/previews/application/doc.py

@@ -1,16 +1,10 @@
-import textract
-
 from akarpov.files.models import File
 
 
 def view(file: File):
     static = ""
     content = ""
-    text = (
+    text = file.content.replace("\t", "    ")
-        textract.process(file.file.path, extension="doc", output_encoding="utf8")
-        .decode("utf8")
-        .replace("\t", "    ")
-    )
     for line in text.split("\n"):
         content += f"<p class='mt-1'>{line}</p>"
     return static, content

akarpov/files/previews/application/docx.py

@@ -1,16 +1,10 @@
-import textract
-
 from akarpov.files.models import File
 
 
 def view(file: File):
     static = ""
     content = ""
-    text = (
+    text = file.content.replace("\t", "    ")
-        textract.process(file.file.path, extension="docx", output_encoding="utf8")
-        .decode("utf8")
-        .replace("\t", "    ")
-    )
     for line in text.split("\n"):
         content += f"<p class='mt-1'>{line}</p>"
     return static, content

akarpov/files/previews/application/odt.py

@@ -1,16 +1,10 @@
-import textract
-
 from akarpov.files.models import File
 
 
 def view(file: File):
     static = ""
     content = ""
-    text = (
+    text = file.content.replace("\t", "    ")
-        textract.process(file.file.path, extension="odt", output_encoding="utf8")
-        .decode("utf8")
-        .replace("\t", "    ")
-    )
     for line in text.split("\n"):
         content += f"<p class='mt-1'>{line}</p>"
     return static, content

akarpov/files/previews/audio/oga.py

@@ -1,5 +1,3 @@
-import textract
-
 from akarpov.files.models import File
 
 
@@ -7,11 +5,7 @@ def view(file: File) -> (str, str):
     static = f"""
     <meta property="og:title" content="{file.name}" />
     """
-    text = (
+    text = file.content.replace("\t", "    ")
-        textract.process(file.file.path, extension="ogg", output_encoding="utf8")
-        .decode("utf8")
-        .replace("\t", "    ")
-    )
     content = (
         """
     <div id="waveform">

akarpov/files/services/lema.py

@@ -1,42 +0,0 @@
-from nltk.corpus import stopwords
-from nltk.stem import WordNetLemmatizer
-from nltk.tokenize import word_tokenize
-from pymorphy3 import MorphAnalyzer
-
-# Set up stop words
-english_stopwords = set(stopwords.words("english"))
-russian_stopwords = set(stopwords.words("russian"))
-
-# Set up lemmatizers
-english_lemmatizer = None
-russian_lemmatizer = None
-
-
-def lemmatize_and_remove_stopwords(text, language="english"):
-    # Tokenize the text
-    global english_lemmatizer, russian_lemmatizer
-    tokens = word_tokenize(text)
-
-    # Lemmatize each token based on the specified language
-    lemmatized_tokens = []
-    for token in tokens:
-        if language == "russian":
-            if not russian_lemmatizer:
-                russian_lemmatizer = MorphAnalyzer()
-            lemmatized_token = russian_lemmatizer.parse(token)[0].normal_form
-        else:  # Default to English
-            if not english_lemmatizer:
-                english_lemmatizer = WordNetLemmatizer()
-            lemmatized_token = english_lemmatizer.lemmatize(token)
-        lemmatized_tokens.append(lemmatized_token)
-
-    # Remove stop words
-    filtered_tokens = [
-        token
-        for token in lemmatized_tokens
-        if token not in english_stopwords and token not in russian_stopwords
-    ]
-
-    # Reconstruct the text
-    filtered_text = " ".join(filtered_tokens)
-    return filtered_text

akarpov/files/services/preview.py

@@ -1,8 +1,4 @@
-from math import ceil
-
 import magic
-from PIL import Image, ImageDraw, ImageFont
-from preview_generator.manager import PreviewManager
 
 from akarpov.files.models import File
 
@@ -19,90 +15,11 @@
 manager = None
 
 
-def textfile_to_image(textfile_path) -> Image:
-    """Convert text file to a grayscale image.
-
-    arguments:
-    textfile_path - the content of this file will be converted to an image
-    font_path - path to a font file (for example impact.ttf)
-    """
-    # parse the file into lines stripped of whitespace on the right side
-    with open(textfile_path) as f:
-        lines = tuple(line.rstrip() for line in f.readlines())
-
-    font: ImageFont = None
-    large_font = 20  # get better resolution with larger size
-    for font_filename in COMMON_MONO_FONT_FILENAMES:
-        try:
-            font = ImageFont.truetype(font_filename, size=large_font)
-            print(f'Using font "{font_filename}".')
-            break
-        except OSError:
-            print(f'Could not load font "{font_filename}".')
-    if font is None:
-        font = ImageFont.load_default()
-        print("Using default font.")
-
-    def _font_points_to_pixels(pt):
-        return round(pt * 96.0 / 72)
-
-    margin_pixels = 20
-
-    # height of the background image
-    tallest_line = max(lines, key=lambda line: font.getsize(line)[PIL_HEIGHT_INDEX])
-    max_line_height = _font_points_to_pixels(
-        font.getsize(tallest_line)[PIL_HEIGHT_INDEX]
-    )
-    realistic_line_height = max_line_height * 0.8
-    image_height = int(ceil(realistic_line_height * len(lines) + 2 * margin_pixels))
-
-    widest_line = max(lines, key=lambda s: font.getsize(s)[PIL_WIDTH_INDEX])
-    max_line_width = _font_points_to_pixels(font.getsize(widest_line)[PIL_WIDTH_INDEX])
-    image_width = int(ceil(max_line_width + (2 * margin_pixels)))
-
-    # draw the background
-    background_color = 255  # white
-    image = Image.new(
-        PIL_GRAYSCALE, (image_width, image_height), color=background_color
-    )
-    draw = ImageDraw.Draw(image)
-
-    font_color = 0
-    horizontal_position = margin_pixels
-    for i, line in enumerate(lines):
-        vertical_position = int(round(margin_pixels + (i * realistic_line_height)))
-        draw.text(
-            (horizontal_position, vertical_position), line, fill=font_color, font=font
-        )
-
-    return image
-
-
-def create_preview(file_path: str) -> str:
-    global manager
-    # TODO: add text image generation/code image
-    if not manager:
-        manager = PreviewManager(cache_path, create_folder=True)
-    if manager.has_jpeg_preview(file_path):
-        return manager.get_jpeg_preview(file_path, height=500)
-    return ""
-
-
 def get_file_mimetype(file_path: str) -> str:
     mime = magic.Magic(mime=True)
     return mime.from_file(file_path)
 
 
-def get_description(file_path: str) -> str:
-    global manager
-    if not manager:
-        manager = PreviewManager(cache_path, create_folder=True)
-
-    if manager.has_text_preview(file_path):
-        return manager.get_text_preview(file_path)
-    return ""
-
-
 def get_base_meta(file: File):
     preview = file.preview.url if file.preview else ""
     description = file.description if file.description else ""

akarpov/files/services/search.py

@@ -11,12 +11,6 @@
 from akarpov.files.models import File
 
 from ..documents import FileDocument
-from .lema import lemmatize_and_remove_stopwords
-
-"""
-Calculus on types of searches:
-https://new.akarpov.ru/files/FZUTFBIyfbdlDHVzxUNU
-"""
 
 
 class BaseSearch:
@@ -140,23 +134,20 @@ class SimilaritySearch(BaseSearch):
     def search(self, query: str) -> QuerySet[File]:
         if self.queryset is None:
             raise ValueError("Queryset cannot be None for similarity search")
-
-        language = "russian" if re.search("[а-яА-Я]", query) else "english"
-        filtered_query = lemmatize_and_remove_stopwords(query, language=language)
         queryset = (
             self.queryset.annotate(
                 name_similarity=Coalesce(
-                    TrigramSimilarity(UnaccentLower("name"), filtered_query),
+                    TrigramSimilarity(UnaccentLower("name"), query),
                     Value(0),
                     output_field=FloatField(),
                 ),
                 description_similarity=Coalesce(
-                    TrigramSimilarity(UnaccentLower("description"), filtered_query),
+                    TrigramSimilarity(UnaccentLower("description"), query),
                     Value(0),
                     output_field=FloatField(),
                 ),
                 content_similarity=Coalesce(
-                    TrigramSimilarity(UnaccentLower("content"), filtered_query),
+                    TrigramSimilarity(UnaccentLower("content"), query),
                     Value(0),
                     output_field=FloatField(),
                 ),

akarpov/files/services/text.py

@@ -1,18 +0,0 @@
-import chardet
-import textract
-from textract.exceptions import ExtensionNotSupported
-
-
-def extract_file_text(file: str) -> str:
-    try:
-        text = textract.process(file)
-    except ExtensionNotSupported:
-        try:
-            rawdata = open(file, "rb").read()
-            enc = chardet.detect(rawdata)
-            with open(file, encoding=enc["encoding"]) as f:
-                text = f.read()
-        except Exception:
-            return ""
-
-    return text

akarpov/files/tasks.py

@@ -1,40 +1,69 @@
-import os
+import base64
 import time
+from urllib.parse import urljoin
 
+import requests
 import structlog
 from celery import shared_task
+from django.conf import settings
 from django.core import management
-from django.core.files import File
+from django.core.files.base import ContentFile
 
 from akarpov.files.models import File as FileModel
-from akarpov.files.services.preview import create_preview, get_file_mimetype
-from akarpov.files.services.text import extract_file_text
 
 logger = structlog.get_logger(__name__)
 
 
+def sanitize_content(content):
+    """Remove NUL (0x00) characters from the content."""
+    if isinstance(content, str):
+        return content.replace("\x00", "")
+    elif isinstance(content, bytes):
+        return content.replace(b"\x00", b"")
+    return content
+
+
 @shared_task()
 def process_file(pk: int):
-    pth = None
     file = FileModel.objects.get(pk=pk)
     if not file.name:
         file.name = file.file.name.split("/")[-1]
+
     try:
-        pth = create_preview(file.file.path)
+        api_url = urljoin(settings.PREVIEW_SERVICE_URL, "/process_file/")
-        if pth:
+
-            with open(pth, "rb") as f:
+        files = {"file": (file.name, file.file.open("rb"))}
+        headers = {
+            "X-API-Key": settings.PREVIEW_SERVICE_API_KEY,
+            "Accept": "application/json",
+        }
+
+        response = requests.post(api_url, files=files, headers=headers)
+
+        if response.status_code != 200:
+            logger.error(f"Failed to process file {pk}: {response.text}")
+            return
+
+        result = response.json()
+
+        file.file_type = result["file_type"]
+        file.content = sanitize_content(result["content"])
+
+        if result["preview"]:
+            image_data = base64.b64decode(result["preview"])
             file.preview.save(
-                    pth.split("/")[-1],
+                f"{file.name}_preview.jpg", ContentFile(image_data), save=False
-                    File(f),
-                    save=False,
             )
+
+        file.save()
+
+        logger.info(f"File {pk} processed successfully")
+
     except Exception as e:
-        logger.error(e)
+        logger.error(f"Error processing file {pk}: {str(e)}")
-    file.file_type = get_file_mimetype(file.file.path)
+    finally:
-    file.content = extract_file_text(file.file.path)
+        file.file.close()
-    file.save(update_fields=["preview", "name", "file_type", "content"])
+
-    if pth and os.path.isfile(pth):
-        os.remove(pth)
     return pk
 
 

akarpov/music/api/views.py

@@ -6,6 +6,7 @@
 from akarpov.common.api.permissions import IsAdminOrReadOnly, IsCreatorOrReadOnly
 from akarpov.music.api.serializers import (
     AddSongToPlaylistSerializer,
+    AllSearchSerializer,
     AnonMusicUserSerializer,
     FullAlbumSerializer,
     FullAuthorSerializer,
@@ -19,7 +20,6 @@
     ListSongSlugsSerializer,
     PlaylistSerializer,
     SongSerializer,
-    AllSearchSerializer,
 )
 from akarpov.music.models import (
     Album,
@@ -29,7 +29,7 @@
     SongUserRating,
     UserListenHistory,
 )
-from akarpov.music.services.search import search_song, search_album, search_author
+from akarpov.music.services.search import search_album, search_author, search_song
 from akarpov.music.tasks import listen_to_song
 from akarpov.users.models import User
 

akarpov/music/documents.py

@@ -1,7 +1,7 @@
 from django_elasticsearch_dsl import Document, fields
 from django_elasticsearch_dsl.registries import registry
 
-from akarpov.music.models import Song, Album, Author
+from akarpov.music.models import Album, Author, Song
 
 
 @registry.register_document

akarpov/music/services/search.py

@@ -3,8 +3,8 @@
 from django_elasticsearch_dsl.registries import registry
 from elasticsearch_dsl import Q as ES_Q
 
-from akarpov.music.documents import SongDocument, AlbumDocument, AuthorDocument
+from akarpov.music.documents import AlbumDocument, AuthorDocument, SongDocument
-from akarpov.music.models import Song, Author, Album
+from akarpov.music.models import Album, Author, Song
 
 
 def search_song(query):

akarpov/music/signals.py

@@ -35,7 +35,8 @@ def album_create(sender, instance, created, **kwargs):
 
 
 @receiver(post_save)
-def send_que_status(sender, instance, created, **kwargs): ...
+def send_que_status(sender, instance, created, **kwargs):
+    ...
 
 
 @receiver(pre_save, sender=SongUserRating)

akarpov/music/tasks.py

@@ -4,7 +4,6 @@
 import pylast
 import spotipy
 import structlog
-import ytmusicapi
 from asgiref.sync import async_to_sync
 from celery import shared_task
 from channels.layers import get_channel_layer
@@ -12,6 +11,7 @@
 from django.utils import timezone
 from django.utils.timezone import now
 from spotipy import SpotifyClientCredentials
+from ytmusicapi import YTMusic
 
 from akarpov.music.api.serializers import SongSerializer
 from akarpov.music.models import (

compose/local/django/celery/worker/start

@@ -3,6 +3,4 @@
 set -o errexit
 set -o nounset
 
-/install_preview_dependencies
-
 celery -A config.celery_app  worker --autoscale 20 -l INFO

compose/local/django/install_preview_dependencies

@@ -1,14 +0,0 @@
-#!/bin/bash
-
-apt-get update
-apt-get install wget libnotify4 scribus libappindicator3-1 libayatana-indicator3-7 libdbusmenu-glib4 libdbusmenu-gtk3-4
-apt-get install -y poppler-utils libfile-mimeinfo-perl ghostscript libsecret-1-0 zlib1g-dev libjpeg-dev imagemagick libmagic1 libreoffice inkscape xvfb
-apt-get install -y libxml2-dev libxslt1-dev antiword unrtf tesseract-ocr flac lame libmad0 libsox-fmt-mp3 sox swig
-apt-get install -y python-dev-is-python3 libxml2-dev libxslt1-dev antiword unrtf poppler-utils tesseract-ocr \
-flac ffmpeg lame libmad0 libsox-fmt-mp3 sox libjpeg-dev swig
-wget https://github.com/jgraph/drawio-desktop/releases/download/v13.0.3/draw.io-amd64-13.0.3.deb
-dpkg -i draw.io-amd64-13.0.3.deb
-rm draw.io-amd64-13.0.3.deb
-apt-get purge -y --auto-remove -o APT:AutoRemove:RecommendsImportant=false && \
-rm -rf /var/lib/apt/lists/*
-preview --check-dependencies

config/settings/base.py

@@ -758,3 +758,9 @@
 SECURE_PROXY_SSL_HEADER = ("HTTP_X_FORWARDED_PROTO", "https")
 USE_X_FORWARDED_HOST = True
 USE_X_FORWARDED_PORT = True
+
+
+# PREVIEW
+# ------------------------------------------------------------------------------
+PREVIEW_SERVICE_URL = env("PREVIEW_SERVICE_URL", default=None)
+PREVIEW_SERVICE_API_KEY = env("PREVIEW_SERVICE_API_KEY", default=None)

pyproject.toml

@@ -69,7 +69,6 @@ channels = {extras = ["daphne"], version = "^4.0.0"}
 django-upload-validator = "^1.1.6"
 markdown = "^3.4.4"
 pydotplus = "^2.0.2"
-preview-generator = "^0.29"
 uuid = "^1.30"
 mutagen = "^1.46.0"
 pydub = "^0.25.1"
@@ -100,11 +99,8 @@ pytest-mock = "^3.11.1"
 pytest-asyncio = "^0.21.1"
 pytest-lambda = "^2.2.0"
 pgvector = "^0.2.2"
-pycld2 = "^0.41"
 uuid6 = "^2023.5.2"
 uvicorn = "0.23.2"
-nltk = "^3.8.1"
-pymorphy3 = "^1.2.1"
 pymorphy3-dicts-ru = "^2.4.417150.4580142"
 fastapi = "0.103.0"
 pydantic-settings = "^2.0.3"
@@ -118,9 +114,9 @@ spotdl = "^4.2.4"
 fuzzywuzzy = "^0.18.0"
 python-levenshtein = "^0.23.0"
 pylast = "^5.2.0"
-textract = {git = "https://github.com/Alexander-D-Karpov/textract.git", branch = "master"}
 librosa = "^0.10.1"
 django-ckeditor-5 = "^0.2.12"
+chardet = "^5.2.0"
 
 
 [build-system]

search/pipeline.py

@@ -1,6 +0,0 @@
-from haystack import Document
-from milvus_haystack import MilvusDocumentStore
-
-ds = MilvusDocumentStore()
-ds.write_documents([Document("Some Content")])
-ds.get_all_documents()

search/pyproject.toml

@@ -1,18 +0,0 @@
-[tool.poetry]
-name = "search"
-version = "0.1.0"
-description = ""
-authors = ["Alexander-D-Karpov <alexandr.d.karpov@gmail.com>"]
-readme = "README.md"
-
-[tool.poetry.dependencies]
-python = "^3.11"
-fastapi = "0.99.1"
-pydantic = "1.10.13"
-transformers = {version = "4.34.1", extras = ["torch"]}
-torch = ">=2.0.0, !=2.0.1, !=2.1.0"
-farm-haystack = {extras = ["faiss"], version = "^1.21.2"}
-
-[build-system]
-requires = ["poetry-core>=1.0.0"]
-build-backend = "poetry.core.masonry.api"

spacy_setup.sh

@@ -1,4 +0,0 @@
-#!/bin/bash
-python -m spacy download en_core_web_lg
-python -m spacy download xx_sent_ud_sm
-python -m spacy download ru_core_news_lg