diff --git a/.github/workflows/publish-cli.yml b/.github/workflows/publish-cli.yml index 8ac016d7..39cc90b1 100644 --- a/.github/workflows/publish-cli.yml +++ b/.github/workflows/publish-cli.yml @@ -20,11 +20,11 @@ jobs: - name: Install dependencies run: | - pip install pyinstaller music_tag jibrish_to_hebrew + pip install pyinstaller music_tag jibrish_to_hebrew chardet - name: Build EXE run: | - pyinstaller --onefile --add-data "src/core/app/singer-list.csv;app" --name "Singles-Sorter" --icon "src/core/assets/icon.ico" "src/core/singles_sorter_v4.py" + pyinstaller --onefile --add-data "src/core/app/singer-list.csv;app" --name "Singles-Sorter" --icon "src/core/assets/icon.ico" "src/core/singles_sorter_v5.py" - name: Get the version id: get_version diff --git a/.github/workflows/publish-installer-ai.yml b/.github/workflows/publish-installer-ai.yml new file mode 100644 index 00000000..35ff7a9c --- /dev/null +++ b/.github/workflows/publish-installer-ai.yml @@ -0,0 +1,109 @@ +name: Publish AI Installer and Portable Version + +on: + push: + tags: + - 'v*' + +jobs: + build: + runs-on: windows-latest + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Setup Python + uses: actions/setup-python@v5 + with: + python-version: '3.10' + + - name: Install dependencies + run: | + pip install pyinstaller music_tag jibrish_to_hebrew flet spacy==3.7.5 scikit-learn==1.5.1 chardet + + - name: Get the version + id: get_version + shell: bash + run: | + VERSION=${GITHUB_REF#refs/tags/v} + echo "VERSION=$VERSION" >> $GITHUB_OUTPUT + echo "RELEASE_TITLE=מסדר הסינגלים $VERSION" >> $GITHUB_OUTPUT + + - name: Build EXE + run: | + flet pack -i src/core/assets/icon.ico src/core/main.py --product-name "Singles Sorter" --product-version "${{ steps.get_version.outputs.VERSION }}" --file-description "Singles Sorter" --copyright "nh.local11@gmail.com" + + - name: Install Inno Setup + run: | + choco install innosetup -y + + - name: Create Inno Setup Script + run: | + $script = @" + #define MyAppName "מסדר הסינגלים" + #define MyAppVersion "${{ steps.get_version.outputs.VERSION }}" + #define MyAppPublisher "nhlocal" + #define MyAppURL "https://nhlocal.github.io/Singles-Sorter" + #define MyAppExeName "main.exe" + [Setup] + AppId={{C1801B38-3050-4D83-8085-6466145B0A06} + AppName={#MyAppName} + AppVersion={#MyAppVersion} + AppPublisher={#MyAppPublisher} + AppPublisherURL={#MyAppURL} + AppSupportURL={#MyAppURL} + AppUpdatesURL={#MyAppURL} + DefaultDirName={autopf}\Singles Sorter + DisableProgramGroupPage=yes + LicenseFile="license.md" + PrivilegesRequired=lowest + OutputBaseFilename=Singles-Sorter-Installer-AI-{#MyAppVersion} + SetupIconFile=src\core\assets\icon.ico + SolidCompression=yes + Compression=lzma2/ultra64 + LZMAUseSeparateProcess=yes + LZMADictionarySize=1048576 + LZMANumFastBytes=273 + WizardStyle=modern + [Languages] + Name: "hebrew"; MessagesFile: "compiler:Languages\Hebrew.isl" + [Tasks] + Name: "desktopicon"; Description: "{cm:CreateDesktopIcon}"; GroupDescription: "{cm:AdditionalIcons}"; Flags: unchecked + [Files] + Source: "dist\main.exe"; DestDir: "{app}"; Flags: ignoreversion + Source: "src\core\app\*"; DestDir: "{app}\app"; Flags: ignoreversion recursesubdirs createallsubdirs + Source: "src\core\models\*"; DestDir: "{app}\models"; Flags: ignoreversion recursesubdirs createallsubdirs + Source: "src\core\assets\icon.png"; DestDir: "{app}\assets"; Flags: ignoreversion recursesubdirs createallsubdirs + [Icons] + Name: "{autoprograms}\{#MyAppName}"; Filename: "{app}\{#MyAppExeName}" + Name: "{autodesktop}\{#MyAppName}"; Filename: "{app}\{#MyAppExeName}"; Tasks: desktopicon + [Run] + Filename: "{app}\{#MyAppExeName}"; Description: "{cm:LaunchProgram,{#StringChange(MyAppName, '&', '&&')}}"; Flags: nowait postinstall skipifsilent + "@ + Set-Content -Path inno_setup_script.iss -Value $script + + - name: Build Installer + run: | + & 'C:\Program Files (x86)\Inno Setup 6\ISCC.exe' inno_setup_script.iss + + - name: Create Portable Version + run: | + New-Item -ItemType Directory -Force -Path portable + Copy-Item dist\main.exe portable\ + Copy-Item -Recurse src\core\app portable\ + Copy-Item -Recurse src\core\assets portable\ + Compress-Archive -Path portable\* -DestinationPath Singles-Sorter-Portable-${{ steps.get_version.outputs.VERSION }}.zip -CompressionLevel Optimal + + - name: Create Release + uses: softprops/action-gh-release@v2.0.6 + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + with: + tag_name: ${{ github.ref }} + name: ${{ steps.get_version.outputs.RELEASE_TITLE }} + draft: true + prerelease: true + files: | + Output/Singles-Sorter-Installer-AI-${{ steps.get_version.outputs.VERSION }}.exe + Singles-Sorter-Portable-AI${{ steps.get_version.outputs.VERSION }}.zip \ No newline at end of file diff --git a/.github/workflows/publish-installer.yml b/.github/workflows/publish-installer.yml index 1ad38f66..3c4f73df 100644 --- a/.github/workflows/publish-installer.yml +++ b/.github/workflows/publish-installer.yml @@ -20,7 +20,7 @@ jobs: - name: Install dependencies run: | - pip install pyinstaller music_tag jibrish_to_hebrew flet + pip install pyinstaller music_tag jibrish_to_hebrew flet chardet - name: Get the version id: get_version diff --git "a/.github/workflows/\342\200\217\342\200\217publish-cli-ai.yml" "b/.github/workflows/\342\200\217\342\200\217publish-cli-ai.yml" new file mode 100644 index 00000000..61102f3a --- /dev/null +++ "b/.github/workflows/\342\200\217\342\200\217publish-cli-ai.yml" @@ -0,0 +1,52 @@ +name: Build and Release AI CLI + +on: + push: + tags: + - 'v*' + +jobs: + build: + runs-on: windows-latest + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Setup Python + uses: actions/setup-python@v5 + with: + python-version: '3.10' + + - name: Install dependencies + run: | + pip install pyinstaller music_tag jibrish_to_hebrew chardet spacy==3.7.5 scikit-learn==1.5.1 + + - name: Build EXE + run: | + pyinstaller --onefile --add-data "src/core/app/singer-list.csv;app" --name "Singles-Sorter" --icon "src/core/assets/icon.ico" "src/core/singles_sorter_v5.py" + + - name: Get the version + id: get_version + shell: bash + run: | + VERSION=${GITHUB_REF#refs/tags/v} + echo "VERSION=$VERSION" >> $GITHUB_OUTPUT + echo "RELEASE_TITLE=מסדר הסינגלים $VERSION" >> $GITHUB_OUTPUT + + - name: Rename output file + shell: pwsh + run: | + $version = "${{ steps.get_version.outputs.VERSION }}" + Move-Item -Path "dist\Singles-Sorter.exe" -Destination "dist\singles-sorter-cli-ai-$version.exe" + + - name: Create Release + uses: softprops/action-gh-release@v2.0.6 + env: + GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} + with: + tag_name: ${{ github.ref }} + name: ${{ steps.get_version.outputs.RELEASE_TITLE }} + draft: true + prerelease: true + files: ./dist/singles-sorter-cli-ai${{ steps.get_version.outputs.VERSION }}.exe \ No newline at end of file diff --git a/docs/assets/action_buttons.png b/docs/assets/action_buttons.png new file mode 100644 index 00000000..23773345 Binary files /dev/null and b/docs/assets/action_buttons.png differ diff --git a/docs/assets/add_singers_dialog.png b/docs/assets/add_singers_dialog.png new file mode 100644 index 00000000..997486fc Binary files /dev/null and b/docs/assets/add_singers_dialog.png differ diff --git a/docs/assets/advanced_settings.png b/docs/assets/advanced_settings.png new file mode 100644 index 00000000..d8e0fffd Binary files /dev/null and b/docs/assets/advanced_settings.png differ diff --git a/docs/assets/basic_settings.png b/docs/assets/basic_settings.png new file mode 100644 index 00000000..5ffdd704 Binary files /dev/null and b/docs/assets/basic_settings.png differ diff --git a/docs/assets/general_android_view.png b/docs/assets/general_android_view.png new file mode 100644 index 00000000..66d893b8 Binary files /dev/null and b/docs/assets/general_android_view.png differ diff --git a/docs/assets/general_view.png b/docs/assets/general_view.png new file mode 100644 index 00000000..34d5b62b Binary files /dev/null and b/docs/assets/general_view.png differ diff --git a/docs/assets/select_folders.png b/docs/assets/select_folders.png new file mode 100644 index 00000000..c23d2898 Binary files /dev/null and b/docs/assets/select_folders.png differ diff --git a/docs/help.html b/docs/help.html new file mode 100644 index 00000000..90c8b5ca --- /dev/null +++ b/docs/help.html @@ -0,0 +1,426 @@ + + + + + מסדר הסינגלים - מדריך למשתמש + + + + +

מסדר הסינגלים - מדריך למשתמש

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ברוכים הבאים למסדר הסינגלים! תוכנה זו נועדה לסייע לכם לארגן את קבצי המוזיקה שלכם באופן אוטומטי ויעיל.

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תוכן העניינים

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מבוא

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מסדר הסינגלים הוא כלי מתקדם ופשוט לשימוש שמסייע בארגון אוסף המוזיקה שלכם. התוכנה סורקת את התיקיות שבחרתם, מזהה את האמנים וממיינת את קבצי המוזיקה לתיקיות לפי שם האמן, כך שתוכלו למצוא את השירים האהובים עליכם בקלות.

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התקנה והפעלה

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  1. הורדת התוכנה: הורידו את גרסת התוכנה המתאימה למערכת ההפעלה שלכם מאתר ההורדות הרשמי.
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  2. התקנה: פתחו את קובץ ההתקנה ופעלו לפי ההוראות על המסך.
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  3. הפעלה: לאחר ההתקנה, הפעילו את התוכנה משולחן העבודה או מתפריט ההתחלה.
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ממשק המשתמש

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תצוגה כללית

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[הכניסו כאן תמונה של תצוגה כללית של התוכנה]

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התוכנה מציגה ממשק ידידותי ונוח לשימוש, המורכב ממספר חלקים מרכזיים:

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בחירת תיקיות

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[הכניסו כאן תמונה של אזור בחירת התיקיות]

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  1. תיקיית הסינגלים שלך: בחרו את התיקייה המכילה את קבצי המוזיקה שברצונכם למיין.
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  2. תיקיית יעד: בחרו את התיקייה אליה יועברו או יועתקו קבצי המוזיקה הממויינים.
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כדי לבחור תיקייה, לחצו על כפתור "בחר תיקיה" לצד שדה הטקסט המתאים, ובחרו את התיקייה הרצויה.

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הגדרות בסיסיות

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[הכניסו כאן תמונה של אזור ההגדרות הבסיסיות]

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הגדרות מתקדמות

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[הכניסו כאן תמונה של אזור ההגדרות המתקדמות]

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ניתן לשמור את ההגדרות המותאמות אישית על ידי לחיצה על כפתור השמירה (אייקון של דיסקט).

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כפתורי פעולה

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[הכניסו כאן תמונה של כפתורי הפעולה]

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שימוש בתוכנה

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מיון קבצים

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  1. בחירת תיקיות: ודאו שבחרתם את תיקיית המקור (התיקייה המכילה את קבצי המוזיקה) ואת תיקיית היעד (אליה יועברו או יועתקו הקבצים הממויינים).
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  2. בחירת הגדרות: התאימו את ההגדרות הבסיסיות והמתקדמות לפי הצורך.
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  3. הפעלת המיון: + +
    4. +
  4. סיום התהליך: בסיום, תוצג הודעה עם סיכום המיון, כולל מספר השירים שמויינו, תיקיות שנוצרו ועוד.
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תיקון שמות

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  1. בחירת תיקיית המקור: בחרו את תיקיית המקור המכילה את הקבצים שברצונכם לתקן.
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  2. הפעלת התיקון: + +
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  3. סיום התהליך: בסיום, תוצג הודעה המאשרת את השלמת התיקון.
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הגדרות מתקדמות

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הוספת זמרים אישית

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אם ברצונכם להוסיף זמרים שאינם קיימים במאגר התוכנה, תוכלו לעשות זאת באמצעות דיאלוג הוספת זמרים:

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    +
  1. גישה להגדרות מתקדמות: + +
    2. +
  2. הוספת זמרים: + +
    3. +
  3. יבוא ויצוא: + +
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[הכניסו כאן תמונה של דיאלוג הוספת הזמרים]

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באמצעות דיאלוג זה, תוכלו לנהל בקלות את רשימת הזמרים האישית שלכם, ולהבטיח שהתוכנה תזהה אותם ותמיין את הקבצים בהתאם.

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מיון דואטים

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התוכנה תומכת במיון דואטים (שירים עם יותר מזמר אחד):

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ניתן לבחור את המצב הרצוי בהגדרות המתקדמות תחת "מיון דואטים".

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עדכונים ושדרוגים

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התוכנה בודקת אוטומטית אם קיימים עדכונים זמינים. אם ישנו עדכון, יופיע חיווי על כפתור התפריט בסרגל העליון.

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עזרה ותמיכה

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אם אתם זקוקים לעזרה נוספת, תוכלו לגשת לתפריט העזרה:

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אודות התוכנה

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מסדר הסינגלים גרסה 13.7.

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התוכנה פותחה כדי לסייע בחוויית האזנה נוחה ומאורגנת למוזיקה האהובה עליכם.

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טיפים ושאלות נפוצות

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כיצד לבחור את תיקיית המוזיקה שלי?

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לחצו על כפתור "בחר תיקיה" לצד שדה "תיקיית הסינגלים שלך", ונווטו לתיקייה שבה שמורים קבצי המוזיקה שלכם.

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האם התוכנה תיצור תיקיות חדשות?

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כן, התוכנה תיצור תיקיות לפי שמות הזמרים, אלא אם בחרתם באפשרות "השתמש בתיקיות קיימות בלבד".

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האם ניתן לבטל את הפעולה לאחר שהחלה?

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לא, לאחר שהתהליך החל, לא ניתן לבטלו. לכן, ודאו שאתם בוחרים בתיקיות הנכונות לפני תחילת התהליך.

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צור קשר

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אם יש לכם שאלות או הצעות, אתם מוזמנים ליצור קשר:

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+ +

תודה שהשתמשתם במסדר הסינגלים!

+ +

אנחנו מקווים שהתוכנה תסייע לכם ליהנות מהמוזיקה שלכם באופן מסודר ונוח.

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+ + + + + diff --git "a/docs/\327\236\327\223\327\250\327\231\327\232 \327\236\327\241\327\223\327\250 \327\224\327\241\327\231\327\240\327\222\327\234\327\231\327\235 13.7.pdf" "b/docs/\327\236\327\223\327\250\327\231\327\232 \327\236\327\241\327\223\327\250 \327\224\327\241\327\231\327\240\327\222\327\234\327\231\327\235 13.7.pdf" new file mode 100644 index 00000000..18f0076c Binary files /dev/null and "b/docs/\327\236\327\223\327\250\327\231\327\232 \327\236\327\241\327\223\327\250 \327\224\327\241\327\231\327\240\327\222\327\234\327\231\327\235 13.7.pdf" differ diff --git a/src/core/ai_models.py b/src/core/ai_models.py new file mode 100644 index 00000000..c4fc8947 --- /dev/null +++ b/src/core/ai_models.py @@ -0,0 +1,98 @@ +import logging +from spacy import load +import pickle +import sklearn.pipeline +import sklearn.feature_extraction.text + +class AIModels: + def __init__(self, logger=None): + if logger: + self.logger = logger + else: + self.logger = logging.getLogger('AIModels') + self.logger.setLevel(logging.INFO) + + # Add a console handler if there isn't one already + if not self.logger.handlers: + console_handler = logging.StreamHandler() + console_handler.setLevel(logging.INFO) + formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') + console_handler.setFormatter(formatter) + self.logger.addHandler(console_handler) + + self.nlp = None + self.sklearn_model = None + self.load_models() + + def load_models(self): + # Load the NER model + try: + model_name = 'models/singer_ner_he' + self.nlp = load(model_name) + self.logger.debug(f"Loaded NER model: {model_name}") + except Exception as e: + self.logger.error(f"Failed to load NER model: {str(e)}") + + # Load the sklearn model + try: + model_path = 'models/music_entity_clf/music_entity_clf.pkl' + with open(model_path, 'rb') as model_file: + self.sklearn_model = pickle.load(model_file) + self.logger.debug("Loaded sklearn model successfully") + except Exception as e: + self.logger.error(f"Failed to load sklearn model: {str(e)}") + + def process_with_ner(self, text): + if not self.nlp: + return [] + + doc = self.nlp(text) + potential_artists = [ent.text for ent in doc.ents if ent.label_ == "SINGER"] + + verified_artists = [] + for artist in potential_artists: + self.logger.debug(f"NER model identified potential artist: {artist}") + if self.verify_artist_with_sklearn(artist): + verified_artists.append(artist) + + return verified_artists + + def verify_artist_with_sklearn(self, artist_name): + if not self.sklearn_model: + self.logger.warning("sklearn model not available for verification") + return True # Assume it's an artist if model is not available + + # Prepare the input for the model + input_data = [artist_name] + + try: + # Make prediction + prediction = self.sklearn_model.predict(input_data) + probabilities = self.sklearn_model.predict_proba(input_data)[0] + + # Get the predicted class and its probability + predicted_class = prediction[0] + class_probability = probabilities[predicted_class] + + # Define class names for logging + class_names = ["ARTIST", "ALBUM", "SONG", "RANDOM"] + + # Log the prediction details + self.logger.debug(f"sklearn model prediction for '{artist_name}': " + f"class={class_names[predicted_class]}, " + f"probability={class_probability:.2f}") + + # Check if the predicted class is "ARTIST" (0) + is_artist = predicted_class == 0 + + if is_artist: + self.logger.debug(f"'{artist_name}' verified as an artist") + else: + self.logger.debug(f"'{artist_name}' not verified as an artist. " + f"Predicted as: {class_names[predicted_class]}") + + return is_artist + + except Exception as e: + self.logger.error(f"Error during sklearn prediction for '{artist_name}': {str(e)}") + return True # Assume it's an artist if prediction fails diff --git a/src/core/app/about.md b/src/core/app/about.md index 9afae4dd..49eee6a8 100644 --- a/src/core/app/about.md +++ b/src/core/app/about.md @@ -8,6 +8,13 @@ - **[שליחת טופס למפתח](https://docs.google.com/forms/d/e/1FAIpQLScOaX1wWW1YXXlX4cylMA6LWpO7yIb2fStmjzfSqmLc_V9CIw/viewform?usp=sf_link)** ### אודות המפתח: -פותח ועוצב על ידי **[nh.local11@gmail.com](mailto:nh.local11@gmail.com)** +פותח ועוצב על ידי **[mesader.singelim@gmail.com](mailto:mesader.singelim@gmail.com)** -© כל הזכויות שמורות - ניתן להעתיק ולהפיץ גרסה זו ללא תשלום \ No newline at end of file +ליצירת קשר עם המפתח, לבקשת תכונות ולמתן רעיונות ניתן לפנות למייל זה. + +נשמח לשמוע מכם! + + +### רישיון: + +**© כל הזכויות שמורות** - ניתן להעתיק ולהפיץ גרסה זו ללא תשלום \ No newline at end of file diff --git a/src/core/app/assets/action_buttons.png b/src/core/app/assets/action_buttons.png new file mode 100644 index 00000000..27913dcd Binary files /dev/null and b/src/core/app/assets/action_buttons.png differ diff --git a/src/core/app/assets/add_singers_dialog.png b/src/core/app/assets/add_singers_dialog.png new file mode 100644 index 00000000..f3eddbb7 Binary files /dev/null and b/src/core/app/assets/add_singers_dialog.png differ diff --git a/src/core/app/assets/advanced_settings.png b/src/core/app/assets/advanced_settings.png new file mode 100644 index 00000000..89852b1d Binary files /dev/null and b/src/core/app/assets/advanced_settings.png differ diff --git a/src/core/app/assets/basic_settings.png b/src/core/app/assets/basic_settings.png new file mode 100644 index 00000000..9700778d Binary files /dev/null and b/src/core/app/assets/basic_settings.png differ diff --git a/src/core/app/assets/general_android_view.png b/src/core/app/assets/general_android_view.png new file mode 100644 index 00000000..e97fa652 Binary files /dev/null and b/src/core/app/assets/general_android_view.png differ diff --git a/src/core/app/assets/general_view.png b/src/core/app/assets/general_view.png new file mode 100644 index 00000000..da6cb5a0 Binary files /dev/null and b/src/core/app/assets/general_view.png differ diff --git a/src/core/app/assets/select_folders.png b/src/core/app/assets/select_folders.png new file mode 100644 index 00000000..658e3154 Binary files /dev/null and b/src/core/app/assets/select_folders.png differ diff --git a/src/core/app/help.md b/src/core/app/help.md index 7ca947ba..0aa2f82e 100644 --- a/src/core/app/help.md +++ b/src/core/app/help.md @@ -1,38 +1,219 @@ -**מסדר הסינגלים** הוא כלי מתקדם שמבצע סדר בקבצי הסינגלים שלך וממיין אותם באופן אוטומטי בתיקיות לפי שמות הזמרים. -מומלץ לקרוא בעיון את ההוראות הבאות כדי להפיק את המירב מהשימוש בתוכנה. +# מסדר הסינגלים - מדריך למשתמש -## בחירת תיקיות -1. **תיקיית הסינגלים שלך**: לחץ על "בחר תיקייה" ובחר את התיקייה המכילה את הסינגלים שלך, או תיקיה ראשית המכילה מספר תיקיות סינגלים. -2. **תיקיית יעד**: לחץ על "בחר תיקייה" ובחר את התיקייה אליה יועתקו הסינגלים המסודרים. מומלץ לבחור בתיקיה ריקה או בתיקיה המכילה את הזמרים שלך +מסדר הסינגלים הוא כלי מתקדם ופשוט לשימוש שמסייע בארגון אוסף המוזיקה שלכם. התוכנה סורקת את התיקיות שבחרתם, מזהה את האמנים וממיינת את קבצי המוזיקה לתיקיות לפי שם האמן, כך שתוכלו למצוא את השירים האהובים עליכם בקלות ובמהירות. -## אפשרויות נוספות +--- + +## ממשק המשתמש + +### תצוגה כללית + +![תצוגה כללית של התוכנה](app/assets/general_view.png) + +התוכנה מציגה ממשק ידידותי ונוח לשימוש, המורכב ממספר חלקים מרכזיים: + +- **סרגל עליון**: מציג את שם התוכנה והגרסה, עם כפתור אפשרויות נוספות. +- **בחירת תיקיות**: מאפשרת בחירת תיקיית המקור ותיקיית היעד. +- **הגדרות בסיסיות**: הגדרות מרכזיות להפעלת התוכנה. +- **הגדרות מתקדמות**: מאפשרת גישה לאפשרויות נוספות להתאמה אישית. +- **כפתורי פעולה**: כפתורים לביצוע מיון הקבצים ותיקון השמות. + +--- + +## הגדרה ראשונית + +### בחירת תיקיות -ניתן להגדיר אפשרויות שונות למיון מותאם לצרכים שלך. -אם אתה מסתבך - פשוט דלג על קטע זה. +![בחירת תיקיות](app/assets/select_folders.png) + +1. **תיקיית הסינגלים שלך**: בחרו את התיקייה המכילה את קבצי המוזיקה שברצונכם למיין. זוהי תיקיית המקור. +2. **תיקיית יעד**: בחרו את התיקייה אליה יועברו או יועתקו קבצי המוזיקה הממויינים. + +כדי לבחור תיקייה: + +- לחצו על כפתור **"בחר תיקיה"** לצד שדה הטקסט המתאים. +- בחרו את התיקייה הרצויה בחלון שנפתח. +- הנתיב הנבחר יוצג בשדה הטקסט. ### הגדרות בסיסיות -- **העתק קבצים**: סמן אם ברצונך להעתיק את הקבצים במקום להעבירם. כברירת מחדל תתבצע העברה. -- **סרוק תיקייה ראשית בלבד**: אם מסומן, התוכנה תסרוק רק את התיקייה הראשית ולא תתי תיקיות. -### מתקדם -- **צור תיקיות סינגלים פנימיות**: סמן אם ברצונך ליצור תיקיות פנימיות בתוך תיקיות הזמרים אליהם יועברו הסינגלים. -- **השתמש בתיקיות קיימות בלבד**: אם מסומן, התוכנה תעביר קבצים רק לתיקיות זמרים קיימות ולא תיצור חדשות. -- **צור תיקיות ראשיות לפי א'-ב'**: אם מסומן, התוכנה תיצור תיקיה ראשית לכל אות באלפבית. +![הגדרות בסיסיות](app/assets/basic_settings.png) + +- **העתק קבצים / העבר קבצים**: + - **העתק קבצים**: הקבצים יועתקו לתיקיית היעד, והמקור יישאר ללא שינוי. + - **העבר קבצים**: הקבצים יועברו לתיקיית היעד, ויימחקו מתיקיית המקור. +- **סרוק תיקיה ראשית בלבד / סרוק עץ תיקיות**: + - **סרוק תיקיה ראשית בלבד**: התוכנה תסרוק רק את התיקייה הראשית שבחרתם. + - **סרוק עץ תיקיות**: התוכנה תסרוק גם את כל תיקיות המשנה שבתוך תיקיית המקור. + +### הגדרות מתקדמות + +![הגדרות מתקדמות](app/assets/advanced_settings.png) + +- **צור תיקיות סינגלים פנימיות**: אם מסומן, התוכנה תיצור תיקיית "סינגלים" בתוך כל תיקיית אמן, אליה יועברו הסינגלים. +- **השתמש בתיקיות קיימות בלבד**: אם מסומן, התוכנה תעביר קבצים רק לתיקיות אמנים שכבר קיימות בתיקיית היעד, ולא תיצור תיקיות חדשות. +- **צור תיקיות ראשיות לפי ה-א' ב'**: אם מסומן, התוכנה תיצור תיקיות ראשיות לפי אותיות האלפבית, ובתוכן תיקיות האמנים. + +ניתן לשמור את ההגדרות המותאמות אישית על ידי לחיצה על כפתור השמירה. + +### כפתורי פעולה + +![כפתורי פעולה](app/assets/action_buttons.png) + +- **מיין שירים**: כפתור זה מתחיל את תהליך **מיון הקבצים** בהתאם להגדרות שבחרתם. +- **תקן שמות**: כפתור זה מתחיל את תהליך **תיקון השמות** של הקבצים. + +--- + +## שימוש בתוכנה + +### מיון קבצים + +תהליך **מיון הקבצים** מאפשר לכם לארגן את קבצי המוזיקה שלכם באופן אוטומטי לתיקיות לפי שם האמן. + +#### כיצד זה עובד? + +1. **זיהוי אמנים**: התוכנה מנתחת את שמות הקבצים ואת המטאדאטה שלהם כדי לזהות את האמן. +2. **יצירת מבנה תיקיות**: התוכנה יוצרת תיקיות עבור כל אמן שזוהה, בהתאם להגדרות שבחרתם. +3. **העברת או העתקת קבצים**: הקבצים מועברים או מועתקים לתיקיות המתאימות. + +#### שלבי התהליך + +1. **בחירת תיקיות**: ודאו שבחרתם את **תיקיית המקור** ואת **תיקיית היעד**. +2. **בחירת הגדרות**: התאימו את ההגדרות הבסיסיות והמתקדמות לפי הצורך. +3. **הפעלת המיון**: + - לחצו על כפתור **"מיין שירים"**. + - תיפתח הודעת אזהרה - לחצו על **"אישור"** כדי להמשיך. +4. **תהליך המיון**: + - התוכנה תתחיל בסריקת הקבצים. + - תוכלו לראות את התקדמות התהליך באמצעות סרגל ההתקדמות. +5. **סיום התהליך**: + - בסיום, תוצג הודעה עם **סיכום המיון**, כולל: + - מספר השירים שמויינו. + - מספר תיקיות האמנים שנוצרו. + - האמנים המובילים במספר השירים. + +### תיקון שמות + +תהליך **תיקון השמות** נועד לשפר את שמות הקבצים ואת המטאדאטה שלהם. + +#### מה התהליך כולל? + +1. **הסרת תוכן מיותר**: הסרת מילים או ביטויים מיותרים משמות הקבצים, כגון "חדשות המוזיקה", "מייל מיוזיק" וכדומה. +2. **תיקון ג'יבריש**: תיקון תווים שאינם מוצגים כראוי (ג'יבריש) במטאדאטה של הקבצים, בכותרת, האמן, האלבום ועוד. +3. **עיצוב שם הקובץ**: הסרת קווים תחתונים משם הקובץ. + +#### שלבי התהליך + +1. **בחירת תיקיית המקור**: בחרו את התיקייה המכילה את הקבצים שברצונכם לתקן. +2. **הפעלת התיקון**: + - לחצו על כפתור **"תקן שמות"**. + - תיפתח הודעת אזהרה - לחצו על **"אישור"** כדי להמשיך. +3. **תהליך התיקון**: + - התוכנה תתחיל בסריקת הקבצים ותבצע את התיקונים הנדרשים בשמות הקבצים ובמטאדאטה. +4. **סיום התהליך**: + - תוצג הודעה המאשרת את השלמת התיקון. + +--- + +## הגדרות מתקדמות + +### הוספת זמרים מותאמת אישית + +אם ברצונכם להוסיף זמרים שאינם קיימים במאגר התוכנה, תוכלו לעשות זאת באמצעות **דיאלוג הוספת זמרים**. + +#### כיצד להוסיף זמרים? + +1. **גישה להגדרות מתקדמות**: + - לחצו על כפתור התפריט (שלוש נקודות) בסרגל העליון. + - בחרו ב**הגדרות מתקדמות**. + +2. **פתיחת דיאלוג הוספת הזמרים**: + - תחת הכותרת **"הוספת זמרים"**, לחצו על **"ערוך רשימה"**. + +3. **דיאלוג הוספת זמרים**: + + ![דיאלוג הוספת זמרים](app/assets/add_singers_dialog.png) + + - ייפתח דיאלוג המאפשר לכם להוסיף ולערוך את רשימת הזמרים האישית שלכם. + - הטבלה בדיאלוג כוללת שני עמודות: + - **שם זמר**: השם כפי שמופיע בקבצים (לדוגמה: "מ.ב.ד"). + - **שם תיקיה**: השם שבו תרצו שהתוכנה תיצור את התיקיה עבור הזמר (לדוגמה: "מרדכי בן דוד"). + - **הוספת שורה**: לחצו על כפתור **"הוסף שורה"** כדי להוסיף זמר חדש. + - **שמירת השינויים**: לאחר שסיימתם לערוך, לחצו על **"אישור"** כדי לשמור את השינויים. -## הפעלת התהליך -לאחר שבחרת את התיקיות והגדרת את האפשרויות הנוספות, לחץ על כפתור **הפעל כעת** כדי להתחיל את תהליך סידור הסינגלים. +#### יבוא ויצוא של רשימות זמרים -### חשוב לשים לב! +- **יבא קובץ csv**: מאפשר לייבא רשימת זמרים מקובץ csv חיצוני. +- **יצא לקובץ csv**: מאפשר לייצא את רשימת הזמרים האישית שלכם לקובץ csv. -- **שימוש זהיר**: ודא שאתה מבין את פעולות התוכנה לפני שתתחיל בתהליך. פעולה שגויה עלולה לגרום לאובדן נתונים. -- **בדוק הגדרות**: בדוק את כל ההגדרות לפני הלחיצה על "הפעל כעת" +### מיון דואטים -## אזהרות +התוכנה תומכת במיון דואטים (שירים עם יותר מזמר אחד). -- **מיון אלבומים:** התוכנה מאפשרת מיון אלבומים שלמים באופן נסיוני. מומלץ להשתמש בתכונה זו בזהירות! -- **דואטים:** התוכנה מאפשרת מספר דרכי פעולה עבור דואטים. מומלץ לבחור את הדרך המועדפת עליכם ב"הגדרות מתקדמות". -- **זיהוי מוטעה:** לעיתים נדירות התוכנה עשויה לזהות שמות זמרים באופן מוטעה. +#### אפשרויות מיון דואטים + +- **העתק לזמר הראשון בשם השיר**: + - הקובץ יועבר או יועתק לתיקיית הזמר הראשון שמופיע בשם השיר. +- **העתק לכל הזמרים המופיעים בשם השיר**: + - הקובץ יועבר או יועתק לתיקיות של כל הזמרים המופיעים בשם השיר. + +#### כיצד לבחור את המצב הרצוי? + +1. **גישה להגדרות מתקדמות**: + - לחצו על כפתור התפריט (שלוש נקודות) בסרגל העליון. + - בחרו ב**הגדרות מתקדמות**. + +2. **בחירת מצב מיון דואטים**: + - תחת הכותרת **"מיון דואטים"**, בחרו את האפשרות הרצויה. --- -כל הזכויות שמורות © nh.local11@gmail.com \ No newline at end of file +## עדכונים ושדרוגים + +התוכנה בודקת אוטומטית אם קיימים עדכונים זמינים. אם ישנו עדכון, יופיע חיווי על כפתור התפריט בסרגל העליון. + +#### כיצד לעדכן את התוכנה? + +1. **בדיקת עדכונים**: + - לחצו על כפתור התפריט (שלוש נקודות). + - אם קיים עדכון, תופיע אפשרות **"עדכן כעת"**. + +2. **הורדת העדכון**: + - לחצו על **"עדכן כעת"**. + - התוכנה תפתח את דף ההורדה בדפדפן. + - הורידו את הגרסה העדכנית והתקינו אותה בהתאם להוראות. + +--- + +## טיפים ושאלות נפוצות + +### כיצד לבחור את תיקיית המוזיקה שלי? + +לחצו על כפתור **"בחר תיקיה"** לצד שדה **"תיקיית הסינגלים שלך"**, ונווטו לתיקייה שבה שמורים קבצי המוזיקה שלכם. לחילופןין, תוכלו פשוט להעתיק את נתיב התיקיה לשדה הטקטס. + +### האם התוכנה תיצור תיקיות חדשות? + +כן, התוכנה תיצור תיקיות לפי שמות האמנים, אלא אם בחרתם באפשרות **"השתמש בתיקיות קיימות בלבד"**. + +### האם ניתן לבטל את הפעולה לאחר שהחלה? + +לא, לאחר שהתהליך החל, לא ניתן לבטלו. לכן, ודאו שאתם בוחרים בתיקיות הנכונות לפני תחילת התהליך. + +### מה לעשות אם התוכנה לא מזהה אמן מסוים? + +תוכלו להוסיף את האמן ידנית באמצעות **דיאלוג הוספת זמרים** בהגדרות המתקדמות. + +### האם התוכנה תומכת בקבצי מוזיקה בפורמטים שונים? + +כן, התוכנה תומכת במגוון פורמטים נפוצים של קבצי מוזיקה, כולל mp3, wav, flac ועוד. + +--- + +## צור קשר + +אם יש לכם שאלות או הצעות, אתם מוזמנים ליצור קשר: + +**דוא"ל**: **[mesader.singelim@gmail.com](mailto:mesader.singelim@gmail.com)** + +נשמח לשמוע מכם! \ No newline at end of file diff --git a/src/core/app/whats-new.md b/src/core/app/whats-new.md index cedec574..1b253490 100644 --- a/src/core/app/whats-new.md +++ b/src/core/app/whats-new.md @@ -1,12 +1,13 @@ -- תוקנה שגיאה בפענוח קובץ רשימת הזמרים האישית -- טיפול ב**אלבומים המכילים תיקיה פנימית** -- כעת ביטול הגדרת "צור תיקית סינגלים" תישמר באופן תקין -- **תמיכה בפורמטי קובץ נוספים** כולל `.m4a`, `.aiff`, `.flac`, `.aac`, `.alac`, `.wv`, `.ogg`, `.dsf`, `.opus`. חלק מהפורמטים לא כוללים תמיכה מלאה. -- טיפול במצב בו שיר כבר קיים בתיקית היעד -- **תיקוני באגים** במספר הגדרות חשובות -- **שיפורי ביצועים** במהירות מיון הקבצים +### עיצוב מחדש +- התוכנה עוצבה מחדש עם **מראה נקי ומאיר עיניים** +- נוספו **הסברים מתומצתים** עבור אפשרויות המיון +- נוספה **עזרה מורחבת ומשופרת** עם תמונות מצורפות - **מומלץ לבדוק!** -### למפתחים -- שיפור הטיפול בשגיאות ומקרי קצה -- רישום שגיאות משופר ומורחב לקובץ לוג -- שיפור כללי במבנה הקוד +### מיון באמצעות AI +- לאחר עבודה עצומה, שולב בתוכנה **מודל בינה מלאכותית מתקדם** לצורך שיפור הדיוק והרחבת המיון. שילוב המודל מגדיל את משקל התוכנה משמעותית - אבל זה שווה! +- התכונה לא זמינה לעת עתה באנדרואיד + +### שיפורים נוספים +- ניקוי שמות קבצים משופר +- טעינה מהירה יותר של האפליקצייה באנדרואיד +- זיהוי משופר בין תיקיות אלבום לתיקיות סינגלים \ No newline at end of file diff --git a/src/core/main.py b/src/core/main.py index fdc61338..1493852c 100644 --- a/src/core/main.py +++ b/src/core/main.py @@ -4,49 +4,54 @@ from shutil import copy # קבצי התוכנה -from singles_sorter_v4 import MusicSorter, __VERSION__ +from singles_sorter_v5 import MusicSorter, __VERSION__ from update_config import check_for_update from add_singer_dialog import create_add_singer_dialog # גרסת התוכנה -global VERSION VERSION = __VERSION__ - def main(page: ft.Page): # הגדרת זיהוי הפעלה על אנדרואיד - global ANDROID_MODE - ANDROID_MODE = True if page.platform == ft.PagePlatform.ANDROID else False + ANDROID_MODE = page.platform == ft.PagePlatform.ANDROID page.title = "מסדר הסינגלים" page.vertical_alignment = ft.MainAxisAlignment.SPACE_BETWEEN page.theme_mode = ft.ThemeMode.LIGHT page.rtl = True - #page.bgcolor = "#f5f5f5" page.theme = ft.Theme(color_scheme_seed="#2196f3") ph = ft.PermissionHandler() page.overlay.append(ph) - # הגדרה אוטומטית מותאמת למערכת ההפעלה + # הגדרות דינאמיות בהתאם לפלטפורמה if ANDROID_MODE: page.padding = ft.padding.only(20, 10, 20, 0) - page.scroll = ft.ScrollMode.HIDDEN + page.scroll = ft.ScrollMode.HIDDEN # הסתרת גלילה באנדרואיד scroll_mode = ft.ScrollMode.HIDDEN - auto_focus=False + auto_focus = False + width_button = '100%' # כפתורים ברוחב מלא באנדרואיד + describe_button = 'בחר' + organize_button_title = "מיין" + fix_button_title = "תקן" + width_fix_button = None + width_organize_button = None else: - page.padding = ft.padding.only(60, 20, 60, 20) - page.window.height = 810 - page.window.width = 940 + page.padding = ft.padding.all(20) + page.window.height = 700 + page.window.width = 1050 page.scroll = ft.ScrollMode.ADAPTIVE scroll_mode = ft.ScrollMode.AUTO - auto_focus=True - - # Consistent button style definition - round_button = ft.ButtonStyle(shape=ft.RoundedRectangleBorder(radius=15)) + auto_focus = True + width_button = '150' + describe_button = 'בחר תיקיה' + organize_button_title = "מיין שירים" + fix_button_title = "תקן שמות" + width_fix_button = 170 + width_organize_button = 180 # פונקצייה להצגת הודעה קופצת בתחתית המסך עם פרמטרים שונים show_snackbar = lambda message_text, color, mseconds=3000, : ft.SnackBar(content=ft.Text(message_text), bgcolor=color, duration=mseconds) @@ -71,7 +76,7 @@ def first_run_menu(): ft.Image(src="assets/icon.png", width=40), # Adjusted icon size ft.Text( f"מסדר הסינגלים {VERSION}", - size=24, # Adjusted title size + size=20 if ANDROID_MODE else 24, # Adjusted title size text_align=ft.TextAlign.CENTER, color=ft.colors.ON_PRIMARY, # Assumed color for better contrast weight=ft.FontWeight.BOLD, @@ -128,11 +133,6 @@ def on_menu_selected(e): elif e.control.data == "settings": show_settings() - - try: - update_available, release_notes = check_for_update(VERSION) - except: - update_available = False # תפריט אפשרויות נוספות @@ -143,10 +143,7 @@ def on_menu_selected(e): ft.PopupMenuItem(text="הגדרות מתקדמות", icon=ft.icons.SETTINGS, data="settings", on_click=on_menu_selected), ] - # הוספת פריט עדכון רק אם זמין - if update_available: - update_item = ft.PopupMenuItem(text="עדכן כעת", icon=ft.icons.UPDATE, data="upadte", on_click=on_menu_selected) - menu_items.insert(0, update_item) # הוספת פריט העדכון לתחילת הרשימה + # כפתור אפשרויות נוספות בסרגל העליון # כולל הצגת התראה אדומה אם קיים עדכון זמין @@ -159,9 +156,8 @@ def on_menu_selected(e): tooltip="אפשרויות נוספות", ), text='up', - label_visible=bool(update_available), + label_visible=False, offset=ft.transform.Offset(0, -2), - ) @@ -437,21 +433,7 @@ def toggle_content(e): ft.Column( [ ft.Text("מיון דואטים", weight=ft.FontWeight.BOLD, size=16), - ft.Text( - "זוהי תכונה נסיונית, למילוי משוב על חווית השימוש ", - spans=[ - ft.TextSpan( - "מלאו טופס כעת", - ft.TextStyle( - decoration=ft.TextDecoration.UNDERLINE, - color=ft.colors.BLUE - ), - url="https://docs.google.com/forms/d/e/1FAIpQLScOaX1wWW1YXXlX4cylMA6LWpO7yIb2fStmjzfSqmLc_V9CIw/viewform?usp=sf_link" - ), - ], - color='red' - ), - + ft.Text("בחר להיכן יועתקו שירי דואט"), # כפתורי בחירה בין מצב דואט למצב רגיל duet_mode ], @@ -498,11 +480,45 @@ def toggle_content(e): width_button = '150' describe_button = 'בחר תיקיה' - round_text_field = ft.border_radius.only(15, 10, 15, 10) - source_dir_input = ft.TextField(label="תיקית הסינגלים שלך", autofocus=auto_focus, rtl=True, expand=True, border_radius=round_text_field, border=ft.border.all(2, color=ft.colors.OUTLINE), height='50', hint_text=r"C:\Music\סינגלים", read_only=ANDROID_MODE) + # הגדרת סגנון עקבי לכפתורים + round_button = ft.ButtonStyle( + shape=ft.RoundedRectangleBorder(radius=10), + padding=10 + ) - target_dir_input = ft.TextField(label="תיקית יעד", rtl=True, expand=True, border=ft.border.all(2, color=ft.colors.OUTLINE), border_radius=round_text_field, height='50', hint_text=r"C:\Music\המוזיקה שלך", read_only=ANDROID_MODE) + # הגדרת סגנון עקבי לשדות טקסט – הסר round_text_field + text_field_border = ft.border.all(1, color=ft.colors.OUTLINE_VARIANT) + text_field_height = 50 + + # שדות קלט - עיצוב משופר + source_dir_input = ft.TextField( + label="תיקית מקור", + autofocus=auto_focus, + rtl=True, + expand=True, + border=text_field_border, + height=text_field_height, + hint_text=r"C:\Music\סינגלים", + read_only=ANDROID_MODE, + content_padding=ft.padding.only(10,15,10,15), + filled=True, + border_color=ft.colors.OUTLINE_VARIANT, + ) + + target_dir_input = ft.TextField( + label="תיקית יעד", + rtl=True, + expand=True, + border=text_field_border, + height=text_field_height, + hint_text=r"C:\Music\המוזיקה שלך", + read_only=ANDROID_MODE, + content_padding=ft.padding.only(10,15,10,15), # הוספת content padding + filled=True, # הוספת filled + border_color=ft.colors.OUTLINE_VARIANT, + + ) source_picker = ft.FilePicker(on_result=lambda e: update_path(e, source_dir_input)) target_picker = ft.FilePicker(on_result=lambda e: update_path(e, target_dir_input)) @@ -517,42 +533,54 @@ def toggle_content(e): # Checkboxes global copy_mode, main_folder_only, singles_folder, exist_only, abc_sort, duet_mode - # טעינת הגדרות שמורות - copy_mode = ft.Checkbox( - label="העתק קבצים (העברה היא ברירת המחדל)", - tooltip="סמן אם ברצונך לבצע העתקה של הקבצים כברירת מחדל תתבצע העברה", - value=page.client_storage.get("copy_mode") or False # False כברירת מחדל + # הגדרות בסיסיות - שימוש ב-Switch עם label דינאמי + copy_mode = ft.Switch( + tooltip="קבע אם להעתיק או להעביר את הקבצים לתיקיית היעד", + label="העתק קבצים" if page.client_storage.get("copy_mode") else "העבר קבצים", + value=page.client_storage.get("copy_mode") or False, + on_change=lambda e: update_switch_label(copy_mode) # עדכון label בעת שינוי ) - main_folder_only = ft.Checkbox( - label="סרוק תיקיה ראשית בלבד", - tooltip="אם מסומן, התוכנה תסרוק רק את התיקייה הראשית ולא תתי תיקיות", - value=page.client_storage.get("main_folder_only") or False + + main_folder_only = ft.Switch( + label="סרוק תיקיה ראשית בלבד" if page.client_storage.get("main_folder_only") else "סרוק עץ תיקיות", + tooltip="בחר אם לסרוק את כל תיקיות המשנה או רק את תיקיית המקור הראשית", + value=page.client_storage.get("main_folder_only") or False, + on_change=lambda e: update_switch_label(main_folder_only) # עדכון label בעת שינוי ) + + # פונקציה לעדכון label של ה-Switch + def update_switch_label(switch): + if switch == copy_mode: + switch.label = "העתק קבצים" if switch.value else "העבר קבצים" + elif switch == main_folder_only: + switch.label = "סרוק תיקיה ראשית בלבד" if switch.value else "סרוק עץ תיקיות" + switch.update() + singles_folder = ft.Checkbox( - label='צור תיקיות סינגלים פנימיות', - tooltip="סמן אם ברצונך ליצור תיקיות פנימיות בתוך תיקיות הזמרים אליהם יועברו הסינגלים", + label='צור תיקיות סינגלים', value=page.client_storage.get("singles_folder") if page.client_storage.get("singles_folder") is not None else True # True כברירת מחדל ) + exist_only = ft.Checkbox( - label="השתמש בתיקיות קיימות בלבד", - tooltip="אם מסומן, התוכנה תעביר קבצים רק לתיקיות זמרים קיימות ולא תיצור חדשות", + label="שימוש בתיקיות קיימות", value=page.client_storage.get("exist_only") or False ) + abc_sort = ft.Checkbox( - label="צור תיקיות ראשיות לפי ה-א' ב'", - tooltip="אם מסומן, התוכנה תיצור תיקיה ראשית לכל אות באלפבית", + label="מיון אלפביתי", value=page.client_storage.get("abc_sort") or False ) + # duet_mode def on_duet_mode_changed(e): page.client_storage.set("duet_mode", duet_mode.value) duet_mode = ft.RadioGroup( content=ft.Row([ - ft.Radio(value=False, label="העתק לזמר הראשון בשם השיר", disabled=False), - ft.Radio(value=True, label="העתק לכל הזמרים המופיעים בשם השיר", disabled=False) + ft.Radio(value=False, label="לזמר הראשון בשם השיר", disabled=False), + ft.Radio(value=True, label="לכל הזמרים המופיעים בשיר", disabled=False) ], wrap=True, rtl=True), @@ -628,7 +656,7 @@ def request_permission(): # קביעת תוכן ההודעה והכותרת בהתאם לכפתור שנלחץ if mode == "organize": title_text = "אשר והתחל" - content_text = "התוכנה מיועדת לסינגלים בלבד\n מיון תיקיות אלבומים צפויה לשבש אותם!" + content_text = "התוכנה תבצע שינויים בקבצים שלך\n לא ניתן לשחזר!" elif mode == "fix": title_text = "אשר והתחל" content_text = "פעולה זו תתקן ג'יבריש במאפייני הקובץ\nותסיר תוכן מיותר כמו 'חדשות המוזיקה' משמות הקבצים" @@ -652,8 +680,8 @@ def request_permission(): if ANDROID_MODE: organize_button_title = "מיין" fix_button_title = "תקן" - width_fix_button = None - width_organize_button = None + width_fix_button = '120' + width_organize_button = '120' else: organize_button_title = "מיין שירים" @@ -695,116 +723,118 @@ def request_permission(): ) + PADDING_ITEMS_LIST = ft.padding.only(10, 0, 10, 0) + # הגדרות הממשק הגרפי של התוכנה page.add( - - ft.Container( - content=ft.Column( - [ - ft.Row([source_dir_button, source_dir_input], alignment=ft.MainAxisAlignment.CENTER), - ft.Row([target_dir_button, target_dir_input], alignment=ft.MainAxisAlignment.CENTER), - ], - - spacing='20', - alignment=ft.MainAxisAlignment.CENTER, - horizontal_alignment=ft.CrossAxisAlignment.CENTER, - ), - - margin = ft.margin.only(0, 10, 0, 20) + ft.ResponsiveRow( # Using ResponsiveRow + controls=[ + # עמודה לבחירת תיקיות, סרגל התקדמות וכפתורים – גמישה ברוחב + ft.Column( + expand=True, + rtl=True, + col={"xs": 2, "sm": 1, "md": 1}, + controls=[ + ft.Container( # הוספנו Container + padding=0, # padding מסביב לכל התוכן + margin=10, # margin מסביב ל-Container + expand=True, + content=ft.Column( # התוכן הקודם נכנס כאן + controls=[ + ft.Row([source_dir_button, source_dir_input], alignment=ft.MainAxisAlignment.CENTER), + ft.Row([target_dir_button, target_dir_input], alignment=ft.MainAxisAlignment.CENTER), + + ft.Row([progress_bar], alignment=ft.MainAxisAlignment.CENTER), + + ft.Row( + [ + organize_button, + fixed_button, + ], + alignment=ft.MainAxisAlignment.CENTER, + expand=True, + ), + ], + spacing=15, + alignment=ft.MainAxisAlignment.CENTER, + horizontal_alignment=ft.CrossAxisAlignment.CENTER, + expand=True, + ), + ), + ], + ), - ), + # כרטיס "התאמה אישית" – גמיש ברוחב + ft.Card( + expand=True, + col={"xs": 2, "sm": 1, "md": 1}, + content=ft.Container( + padding=ft.padding.only(10, 20, 10, 10) if ANDROID_MODE else ft.padding.only(30, 30, 30, 20), + margin=ft.padding.all(0), + content=ft.Column( + [ + ft.Row( + [ + ft.Icon(ft.icons.TUNE, color=ft.colors.PRIMARY), + ft.Text("אפשרויות מיון", size=20, color=ft.colors.PRIMARY, weight=ft.FontWeight.BOLD), + ], + alignment=ft.MainAxisAlignment.CENTER, + ), + ft.ListTile( + title=ft.Text("בסיסי", weight=ft.FontWeight.BOLD, size=18), + content_padding=ft.padding.only(5, 0, 10, 0), + ), + + ft.ListTile(title=copy_mode, + content_padding=PADDING_ITEMS_LIST, + ), + ft.ListTile(title=main_folder_only, + content_padding=PADDING_ITEMS_LIST, + ), + + ft.ListTile( + title=ft.Text("מתקדם", weight=ft.FontWeight.BOLD, size=18), + content_padding=ft.padding.only(5, 0, 10, 0), + ), + + ft.ListTile(title=singles_folder, + content_padding=PADDING_ITEMS_LIST, + subtitle=ft.Text('יצירת תיקייה ייעודית בשם "סינגלים" בתוך כל תיקיית אמן',) + ), + ft.ListTile(title=abc_sort, + content_padding=PADDING_ITEMS_LIST, + subtitle=ft.Text("יצירת תיקיות ראשיות לפי אותיות הא'-ב' וארגון תיקיות האמנים בתוכן"), + ), + ft.ListTile(title=exist_only, + content_padding=PADDING_ITEMS_LIST, + subtitle=ft.Text(" העברת קבצים רק לתיקיות אמנים הקיימות כבר בתיקית היעד") + ), - ft.Container( - content=ft.Column( - [ - # התאמה אישית - ft.Row( - [ - ft.Icon(ft.icons.TUNE), # סמל כיוון - ft.Text("התאמה אישית", size=20, color=ft.colors.PRIMARY, weight=ft.FontWeight.BOLD), - ], - alignment=ft.MainAxisAlignment.CENTER, - ), + ft.Row( + [save_config_button], + alignment=ft.MainAxisAlignment.END + ), - # הגדרות בסיסיות - ft.Row( - [ - #ft.Icon(ft.icons.HOME), # סמל בית - ft.Text("הגדרות בסיסיות", weight=ft.FontWeight.BOLD), - ], - alignment=ft.MainAxisAlignment.START, - ), - copy_mode, - main_folder_only, - - # מתקדם - ft.Row( - [ - #ft.Icon(ft.icons.BUILD), # סמל בנייה - ft.Text("מתקדם", weight=ft.FontWeight.BOLD), - ], - alignment=ft.MainAxisAlignment.START, - ), - singles_folder, - exist_only, - - ft.Row( - [ - abc_sort, - save_config_button, - ], - alignment=ft.MainAxisAlignment.SPACE_BETWEEN, + ], + spacing=0, + ), ), - ], - alignment=ft.MainAxisAlignment.CENTER, - horizontal_alignment=ft.CrossAxisAlignment.CENTER, - ), - - margin = ft.margin.only(0, 5, 0, 10), - border=ft.border.all(2, color=ft.colors.OUTLINE), - border_radius=15, - padding=10, - alignment=ft.alignment.center, - ), - - - ft.Container( - content=ft.Column( - [ - - ft.Row( - [ - progress_bar, - ], - - alignment=ft.MainAxisAlignment.CENTER, ), - - ft.Row( - [ - organize_button, - fixed_button, - ], - - alignment=ft.MainAxisAlignment.CENTER, - ), - - ], - - spacing='20', - ), - - margin = ft.margin.all(0), - padding= ft.padding.only(10, 10, 10, 5), - alignment=ft.alignment.center, + ], + alignment=ft.MainAxisAlignment.START, # Distribute space around items + vertical_alignment=ft.CrossAxisAlignment.START, # align items to top + spacing=20, + run_spacing=10, + columns=2, + expand=True, + rtl=True, ) ) - def update_path(e: ft.FilePickerResultEvent, srctar_input: ft.TextField): try: srctar_input.value = e.path if e.path else None @@ -926,9 +956,31 @@ def progress_callback(progress): fixed_button.disabled = False page.update() + + # בדיקה אם קיים עדכון זמין + def update_view(): + try: + update_available, release_notes = check_for_update(VERSION) + except: + update_available = False + release_notes = None + + # הוספת פריט עדכון רק אם זמין + if update_available: + update_item = ft.PopupMenuItem(text="עדכן כעת", icon=ft.icons.UPDATE, data="upadte", on_click=on_menu_selected) + menu_items.insert(0, update_item) # הוספת פריט העדכון לתחילת הרשימה + + menu_button.label_visible = bool(update_available) + menu_button.content.items = menu_items + + menu_button.update() + + return update_available, release_notes + # הפעלת פונקצייה שפותחת הודעה "מה חדש" בהפעלה הראשונה first_run_menu() - + # בדיקה אם קיים עדכון זמין ועדכון התצוגה + update_available, release_notes = update_view() ft.app(target=main) diff --git a/src/core/models/add_metadata.py b/src/core/models/add_metadata.py new file mode 100644 index 00000000..5e26d48e --- /dev/null +++ b/src/core/models/add_metadata.py @@ -0,0 +1,17 @@ +import spacy + +# טען את המודל הקיים או צור חדש +nlp = spacy.load("singer_ner_he") + +# עדכון המטא נתונים +nlp.meta['name'] = 'singer_ner_he' +nlp.meta['version'] = '0.23.0' +nlp.meta['description'] = 'Model for recognizing singer names in Hebrew song titles' +nlp.meta['author'] = 'nhlocal' +nlp.meta['email'] = 'nh.local11@gmail.com' +nlp.meta['license'] = 'MIT' +nlp.meta['tags'] = ['NER', 'Hebrew', 'Singer', 'Named Entity Recognition', 'Text Classification'] + +# שמור את המודל מחדש +nlp.to_disk("singer_ner_he") +print("the model with metadata saving to disk!") \ No newline at end of file diff --git a/src/core/models/music_entity_clf/meta.json b/src/core/models/music_entity_clf/meta.json new file mode 100644 index 00000000..6b785b1b --- /dev/null +++ b/src/core/models/music_entity_clf/meta.json @@ -0,0 +1,6 @@ +{ + "version": "0.1", + "author": "nhlocal", + "description": "Model for classifying text as singer, album, song name or random text", + "email": "nh.local11@gmail.com" +} \ No newline at end of file diff --git a/src/core/models/music_entity_clf/music_entity_clf.pkl b/src/core/models/music_entity_clf/music_entity_clf.pkl new file mode 100644 index 00000000..53945ae9 Binary files /dev/null and b/src/core/models/music_entity_clf/music_entity_clf.pkl differ diff --git a/src/core/models/singer_ner_he/config.cfg b/src/core/models/singer_ner_he/config.cfg new file mode 100644 index 00000000..204cae1d --- /dev/null +++ b/src/core/models/singer_ner_he/config.cfg @@ -0,0 +1,130 @@ +[paths] +train = null +dev = null +vectors = null +init_tok2vec = null + +[system] +seed = 0 +gpu_allocator = null + +[nlp] +lang = "he" +pipeline = ["ner"] +disabled = [] +before_creation = null +after_creation = null +after_pipeline_creation = null +batch_size = 1000 +tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"} +vectors = {"@vectors":"spacy.Vectors.v1"} + +[components] + +[components.ner] +factory = "ner" +incorrect_spans_key = null +moves = null +scorer = {"@scorers":"spacy.ner_scorer.v1"} +update_with_oracle_cut_size = 100 + +[components.ner.model] +@architectures = "spacy.TransitionBasedParser.v2" +state_type = "ner" +extra_state_tokens = false +hidden_width = 64 +maxout_pieces = 2 +use_upper = true +nO = null + +[components.ner.model.tok2vec] +@architectures = "spacy.HashEmbedCNN.v2" +pretrained_vectors = null +width = 96 +depth = 4 +embed_size = 2000 +window_size = 1 +maxout_pieces = 3 +subword_features = true + +[corpora] + +[corpora.dev] +@readers = "spacy.Corpus.v1" +path = ${paths.dev} +gold_preproc = false +max_length = 0 +limit = 0 +augmenter = null + +[corpora.train] +@readers = "spacy.Corpus.v1" +path = ${paths.train} +gold_preproc = false +max_length = 0 +limit = 0 +augmenter = null + +[training] +seed = ${system.seed} +gpu_allocator = ${system.gpu_allocator} +dropout = 0.1 +accumulate_gradient = 1 +patience = 1600 +max_epochs = 0 +max_steps = 20000 +eval_frequency = 200 +frozen_components = [] +annotating_components = [] +dev_corpus = "corpora.dev" +train_corpus = "corpora.train" +before_to_disk = null +before_update = null + +[training.batcher] +@batchers = "spacy.batch_by_words.v1" +discard_oversize = false +tolerance = 0.2 +get_length = null + +[training.batcher.size] +@schedules = "compounding.v1" +start = 100 +stop = 1000 +compound = 1.001 +t = 0.0 + +[training.logger] +@loggers = "spacy.ConsoleLogger.v1" +progress_bar = false + +[training.optimizer] +@optimizers = "Adam.v1" +beta1 = 0.9 +beta2 = 0.999 +L2_is_weight_decay = true +L2 = 0.01 +grad_clip = 1.0 +use_averages = false +eps = 0.00000001 +learn_rate = 0.001 + +[training.score_weights] +ents_f = 1.0 +ents_p = 0.0 +ents_r = 0.0 +ents_per_type = null + +[pretraining] + +[initialize] +vectors = ${paths.vectors} +init_tok2vec = ${paths.init_tok2vec} +vocab_data = null +lookups = null +before_init = null +after_init = null + +[initialize.components] + +[initialize.tokenizer] \ No newline at end of file diff --git a/src/core/models/singer_ner_he/iteration_data.json b/src/core/models/singer_ner_he/iteration_data.json new file mode 100644 index 00000000..454e1bcf --- /dev/null +++ b/src/core/models/singer_ner_he/iteration_data.json @@ -0,0 +1,167 @@ +{ + "0": { + "ner": 12760.009605653426 + }, + "1": { + "ner": 8170.318919559713 + }, + "2": { + "ner": 6891.266782209631 + }, + "3": { + "ner": 6025.393886494811 + }, + "4": { + "ner": 5811.96771290383 + }, + "5": { + "ner": 5512.271173835842 + }, + "6": { + "ner": 5296.490141148527 + }, + "7": { + "ner": 5235.260896612553 + }, + "8": { + "ner": 5046.740624489254 + }, + "9": { + "ner": 4973.830577046772 + }, + "10": { + "ner": 5017.859998598908 + }, + "11": { + "ner": 4900.961947907638 + }, + "12": { + "ner": 4838.758090039101 + }, + "13": { + "ner": 4886.875202931668 + }, + "14": { + "ner": 4714.624255783186 + }, + "15": { + "ner": 4738.327280185656 + }, + "16": { + "ner": 4565.160664788347 + }, + "17": { + "ner": 4583.78275722923 + }, + "18": { + "ner": 4495.220605149534 + }, + "19": { + "ner": 4534.810179279405 + }, + "20": { + "ner": 4500.498598112403 + }, + "21": { + "ner": 4424.467961309918 + }, + "22": { + "ner": 4418.58057027781 + }, + "23": { + "ner": 4177.6422341950165 + }, + "24": { + "ner": 4473.728806059217 + }, + "25": { + "ner": 4482.807123740337 + }, + "26": { + "ner": 4295.435655848486 + }, + "27": { + "ner": 4296.125647655365 + }, + "28": { + "ner": 4211.3802648941555 + }, + "29": { + "ner": 4226.050618910973 + }, + "30": { + "ner": 4343.9247733939055 + }, + "31": { + "ner": 4251.641707995066 + }, + "32": { + "ner": 4284.022606448415 + }, + "33": { + "ner": 4354.118602595073 + }, + "34": { + "ner": 4372.461272659416 + }, + "35": { + "ner": 4378.70702104278 + }, + "36": { + "ner": 4245.001379737945 + }, + "37": { + "ner": 4270.430685805459 + }, + "38": { + "ner": 4208.291241037127 + }, + "39": { + "ner": 4250.659736461786 + }, + "40": { + "ner": 4201.661238122778 + }, + "41": { + "ner": 4174.294246218296 + }, + "42": { + "ner": 4317.815189482398 + }, + "43": { + "ner": 4206.800198851955 + }, + "44": { + "ner": 4211.050399543626 + }, + "45": { + "ner": 4164.989329134082 + }, + "46": { + "ner": 4169.060926826847 + }, + "47": { + "ner": 4246.892852349701 + }, + "48": { + "ner": 4376.177885754265 + }, + "49": { + "ner": 4144.422442224529 + }, + "50": { + "ner": 4229.421797165746 + }, + "51": { + "ner": 4100.578560124174 + }, + "52": { + "ner": 4273.158234436391 + }, + "53": { + "ner": 4141.029963890384 + }, + "54": { + "ner": 4119.760375687587 + } +} \ No newline at end of file diff --git a/src/core/models/singer_ner_he/meta.json b/src/core/models/singer_ner_he/meta.json new file mode 100644 index 00000000..7ca833db --- /dev/null +++ b/src/core/models/singer_ner_he/meta.json @@ -0,0 +1,40 @@ +{ + "lang":"he", + "name":"singer_ner_he", + "version":"0.23.0", + "spacy_version":">=3.7.5,<3.8.0", + "description":"Model for recognizing singer names in Hebrew song titles", + "author":"nhlocal", + "email":"nh.local11@gmail.com", + "url":"", + "license":"MIT", + "spacy_git_version":"a6d0fc360", + "vectors":{ + "width":0, + "vectors":0, + "keys":0, + "name":null, + "mode":"default" + }, + "labels":{ + "ner":[ + "SINGER" + ] + }, + "pipeline":[ + "ner" + ], + "components":[ + "ner" + ], + "disabled":[ + + ], + "tags":[ + "NER", + "Hebrew", + "Singer", + "Named Entity Recognition", + "Text Classification" + ] +} \ No newline at end of file diff --git a/src/core/models/singer_ner_he/ner/cfg b/src/core/models/singer_ner_he/ner/cfg new file mode 100644 index 00000000..6cd11cf7 --- /dev/null +++ b/src/core/models/singer_ner_he/ner/cfg @@ -0,0 +1,13 @@ +{ + "moves":null, + "update_with_oracle_cut_size":100, + "multitasks":[ + + ], + "min_action_freq":1, + "learn_tokens":false, + "beam_width":1, + "beam_density":0.0, + "beam_update_prob":0.0, + "incorrect_spans_key":null +} \ No newline at end of file diff --git a/src/core/models/singer_ner_he/ner/model b/src/core/models/singer_ner_he/ner/model new file mode 100644 index 00000000..be1b097d Binary files /dev/null and b/src/core/models/singer_ner_he/ner/model differ diff --git a/src/core/models/singer_ner_he/ner/moves b/src/core/models/singer_ner_he/ner/moves new file mode 100644 index 00000000..80f96e7b --- /dev/null +++ b/src/core/models/singer_ner_he/ner/moves @@ -0,0 +1 @@ +moves`{"0":{},"1":{"SINGER":-1},"2":{"SINGER":-1},"3":{"SINGER":-1},"4":{"":1,"SINGER":-1},"5":{"":1}}cfgneg_key \ No newline at end of file diff --git a/src/core/models/singer_ner_he/tokenizer b/src/core/models/singer_ner_he/tokenizer new file mode 100644 index 00000000..dc3483a2 --- /dev/null +++ b/src/core/models/singer_ner_he/tokenizer @@ -0,0 +1,3 @@ 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+ "(((", + "(*>", + "(*_*)", + "(-8", + "(-:", + "(-;", + "(-_-)", + "(-d", + "(._.)", + "(:", + "(;", + "(=", + "(>_<)", + "(^_^)", + "(o:", + "(x:", + "(x_x)", + "(\u00ac_\u00ac)", + "(\u0ca0_\u0ca0)", + "(\u256f\u00b0\u25a1\u00b0\uff09\u256f\ufe35\u253b\u2501\u253b", + ")", + ")))", + ")-:", + ")/\u00af", + "):", + "*", + "+", + "-", + "-((", + "-))", + "-/", + "-0", + "-3", + "-8", + "-D", + "-O", + "-P", + "-X", + "-_-", + "-__-", + "-d", + "-o", + "-p", + "-x", + "-|", + ".", + "._.", + "/", + "/3", + "/d", + "/\u00af", + "0", + "0.0", + "0.o", + "0_0", + "0_o", + "1", + "3", + "33", + "333", + "8", + "8)", + "8-", + "8-)", + "8-D", + "8-d", + "8D", + "8d", + ":", + ":'(", + ":')", + ":'-(", + ":'-)", + ":(", + ":((", + ":(((", + ":()", + ":)", + ":))", + ":)))", + ":*", + ":-(", + ":-((", + ":-(((", + ":-)", + ":-))", + ":-)))", + ":-*", + ":-/", + ":-0", + ":-3", + ":->", + ":-D", + ":-O", + ":-P", + ":-X", + ":-]", + ":-d", + ":-o", + ":-p", + ":-x", + ":-|", + ":-}", + ":/", 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"d.", + "d.d", + "d.x", + "dX", + "d_d", + "d_x", + "dd", + "ddd", + "e", + "e.", + "f", + "f.", + "g", + "g.", + "h", + "h.", + "he", + "i", + "i.", + "j", + "j.", + "k", + "k.", + "l", + "l.", + "m", + "m.", + "n", + "n.", + "o", + "o.", + "o.0", + "o.O", + "o.o", + "o_0", + "o_O", + "o_o", + "p", + "p.", + "q", + "q.", + "r", + "r.", + "s", + "s.", + "space", + "t", + "t.", + "u", + "u.", + "v", + "v.", + "v.v", + "v_v", + "w", + "w.", + "x", + "x.", + "x.X", + "x.d", + "x.x", + "xD", + "xDD", + "xX", + "xXX", + "x_X", + "x_d", + "x_x", + "xd", + "xdd", + "xxxx", + "x\ufe35x", + "y", + "y.", + "z", + "z.", + "|", + "}", + "\u00a0", + "\u00ac", + "\u00ac_\u00ac", + "\u00af", + "\u00af\\", + "\u00af\\(x)/\u00af", + "\u00af\\(\u30c4)/\u00af", + "\u00b0", + "\u00b0C.", + "\u00b0F.", + "\u00b0K.", + "\u00b0X.", + "\u00b0c.", + "\u00b0f.", + "\u00b0k.", + "\u00b0x.", + "\u00e4", + "\u00e4.", + "\u00f6", + "\u00f6.", + "\u00fc", + "\u00fc.", + "\u0ca0", + "\u0ca0_\u0ca0", + "\u0ca0\ufe35\u0ca0", + "\u2014", + "\u2501", + "\u253b", + "\u253b\u2501\u253b", + "\u256f", + "\u25a1", + "\u30c4", + "\ufe35", + "\uff09" +] \ No newline at end of file diff --git a/src/core/models/singer_ner_he/vocab/vectors b/src/core/models/singer_ner_he/vocab/vectors new file mode 100644 index 00000000..ebadaa58 Binary files /dev/null and b/src/core/models/singer_ner_he/vocab/vectors differ diff --git a/src/core/models/singer_ner_he/vocab/vectors.cfg b/src/core/models/singer_ner_he/vocab/vectors.cfg new file mode 100644 index 00000000..32c800af --- /dev/null +++ b/src/core/models/singer_ner_he/vocab/vectors.cfg @@ -0,0 +1,3 @@ +{ + "mode":"default" +} \ No newline at end of file diff --git a/src/core/requirements.txt b/src/core/requirements.txt index 6aa46f63..04774b17 100644 --- a/src/core/requirements.txt +++ b/src/core/requirements.txt @@ -1,3 +1,6 @@ music_tag jibrish_to_hebrew -requests \ No newline at end of file +requests +scikit-learn==1.5.1 +spacy==3.7.5 +chardet diff --git a/src/core/singles_sorter_v4.py b/src/core/singles_sorter_v4.py index 44755f81..ae2500a3 100644 --- a/src/core/singles_sorter_v4.py +++ b/src/core/singles_sorter_v4.py @@ -1,5 +1,5 @@ # -*- coding: utf-8 -*- -__VERSION__ = '13.7' +__VERSION__ = '13.8' import os import sys diff --git a/src/core/singles_sorter_v5.py b/src/core/singles_sorter_v5.py new file mode 100644 index 00000000..e58a37e7 --- /dev/null +++ b/src/core/singles_sorter_v5.py @@ -0,0 +1,987 @@ +# -*- coding: utf-8 -*- +__VERSION__ = '13.9' + +import os +import sys +import re +import argparse +import csv +import logging +import datetime +import traceback +from pathlib import Path +from music_tag import load_file +from jibrish_to_hebrew import fix_jibrish, check_jibrish +from check_name import check_exact_name +import shutil + +# פונקציה לבדיקת קיום קבצי מודל AI +def check_model_files(): + model_clf_path = 'models/music_entity_clf/music_entity_clf.pkl' + meta_json_path = 'models/singer_ner_he/meta.json' + return os.path.isfile(model_clf_path) and os.path.isfile(meta_json_path) + +# קריאה לפונקציה בתחילת הקוד +ai_invalid = False if check_model_files() else True +if not ai_invalid: + from ai_models import AIModels + +# הגדרת רשימות כקבועים גלובליים +UNUSUAL_LIST = [ + "סינגלים", + "סינגל", + "אבגדהוזחטיכלמנסעפצקרשתךםןץ", + "אמן לא ידוע", + "טוב", + "לא ידוע", + "תודה לך ה" +] + +SUBSTRINGS_TO_REMOVE = [ + " -מייל מיוזיק", + " - ציצו במייל", + "-חדשות המוזיקה", + " - חדשות המוזיקה", + " - ציצו", + " מוזיקה מכל הלב", + " - מייל מיוזיק" +] + +SUPPORTED_EXTENSIONS = {'.m4a', '.wma', '.wav', '.aiff', '.flac', '.aac', '.alac', '.wv', '.ogg', '.dsf', '.opus', '.mp3'} + +# הוספת רשימת מילות המפתח לזיהוי סינגלים +SINGLE_KEYWORDS = ["סינגל", "סינגלים", "single", "singles"] + +class MusicSorter: + + def __init__( + self, + source_dir, + target_dir=None, + copy_mode=False, + abc_sort=False, + exist_only=False, + singles_folder=True, + main_folder_only=False, + duet_mode=False, + progress_callback=None, + log_level=logging.INFO, + logger=None + ): + self.source_dir = Path(source_dir) + self.target_dir = Path(target_dir) if target_dir else None + self.copy_mode = copy_mode + self.abc_sort = abc_sort + self.exist_only = exist_only + self.singles_folder = singles_folder + self.main_folder_only = main_folder_only + self.duet_mode = duet_mode + self.progress_callback = progress_callback + self.operating_details = [ + source_dir, + target_dir, + copy_mode, + abc_sort, + exist_only, + singles_folder, + main_folder_only, + duet_mode + ] + self.singer_list = self.list_from_csv() + self.songs_sorted = 0 + self.artist_folders_created = set() + self.artist_song_count = {} + self.albums_processed = 0 + + # Use the provided logger or create a new one + self.logger = logger or logging.getLogger('MusicSorter') + self.logger.setLevel(log_level) + + # יצירת מופע של AIModels אם לא באנדרואיד + if not ai_invalid: + self.ai_models = AIModels(logger=self.logger) + else: + self.ai_models = None # אם באנדרואיד, לא משתמשים ב-AIModels + + def progress_display(self, total_amount): + for current_item in range(1, total_amount + 1): + progress = (current_item / total_amount) * 100 + yield progress + + def check_errors(self): + """ + Checks for potential errors related to source and target directories. + + Raises: + FileNotFoundError: If the source or target directory does not exist. + PermissionError: If the script does not have write access to the target directory. + ValueError: If the source and target directories are the same or source directory is empty. + """ + if not self.source_dir.exists(): + raise FileNotFoundError("תיקיית המקור לא נמצאה") + + if not self.target_dir.exists(): + raise FileNotFoundError("תיקיית היעד לא נמצאה") + + if not os.access(self.target_dir, os.W_OK): + raise PermissionError("אין הרשאת כתיבה לתיקיית היעד") + + if self.source_dir.samefile(self.target_dir): + raise ValueError("תיקיית המקור ותיקיית היעד לא יכולות להיות זהות") + + if not any(self.source_dir.iterdir()): + raise ValueError("תיקיית המקור ריקה") + + def clean_filename(self, filename): + # הסרת תתי-מחרוזות מוגדרות מראש + for substring in SUBSTRINGS_TO_REMOVE: + filename = filename.replace(substring, "") + + # טיפול בקווים תחתונים + if "_" in filename: + if " " not in filename: + # אם אין רווחים, החלף את כל הקווים התחתונים ברווחים + filename = filename.replace("_", " ") + else: + # הסר קווים תחתונים שמופיעים בין אותיות ללא רווחים + filename = re.sub(r'(?<=\w)_(?=\w)', '', filename) + + # הסרת מקפים שמחוברים לאותיות ללא רווח + filename = re.sub(r'(?<=\w)-(?=\w)', ' ', filename) + + return filename + + def fix_metadata_field(self, metadata, field_name, file_path): + value = metadata[field_name].value + if value and check_jibrish(value): + fixed_value = fix_jibrish(value, "heb") + metadata[field_name] = fixed_value + self.logger.info(f"Fixed {field_name} for {file_path}: {value} -> {fixed_value}") + + def fix_names(self): + """ + Fix filenames and metadata of audio files in the source directory. + """ + self.logger.info("Starting to fix filenames and metadata") + + # Collect all audio files + if self.main_folder_only: + files_to_process = [f for f in self.source_dir.glob('*') if f.suffix.lower() in SUPPORTED_EXTENSIONS] + else: + files_to_process = [f for f in self.source_dir.rglob('*') if f.suffix.lower() in SUPPORTED_EXTENSIONS] + + total_files = len(files_to_process) + progress_fix_generator = self.progress_display(total_files) + + for file_path in files_to_process: + + try: + progress = next(progress_fix_generator) + if self.progress_callback: + self.progress_callback(progress) + + # Fix filename + new_filename = self.clean_filename(file_path.name) + new_filename = self.sanitize_filename(new_filename) + if not new_filename: + self.logger.warning(f"Filename is empty after sanitization for {file_path}, skipping") + continue + + new_file_path = file_path.with_name(new_filename) + + if file_path != new_file_path: + if new_file_path.exists(): + new_file_path = self.generate_unique_filename(new_file_path) + try: + file_path.rename(new_file_path) + self.logger.info(f"Renamed file: {file_path} -> {new_file_path}") + except Exception as e: + self.logger.error(f"Failed to rename {file_path} to {new_file_path}: {str(e)}") + self.logger.debug(traceback.format_exc()) + + # Fix metadata + metadata = load_file(new_file_path) + + for field in ['artist', 'albumartist', 'title', 'album', 'genre']: + self.fix_metadata_field(metadata, field, new_file_path) + + # Save the changes + metadata.save() + + except Exception as e: + self.logger.error(f"Error processing file {file_path}: {str(e)}") + self.logger.debug(traceback.format_exc()) + + self.logger.info("Finished fixing filenames and metadata") + + def sanitize_filename(self, filename): + # Remove invalid characters for Windows filenames + filename = re.sub(r'[<>:"/\\|?*]', '', filename) + + # Replace multiple spaces with a single space + filename = re.sub(r'\s+', ' ', filename) + + # Trim leading and trailing whitespace + filename = filename.strip() + + # Truncate to 255 characters (limit for filenames) + filename = filename[:255] + + # If filename is empty after sanitization, return None + if not filename: + return None + + return filename + + def generate_unique_filename(self, target_path): + """ + If target_path exists, append a number to make it unique. + """ + counter = 1 + original_stem = target_path.stem + original_suffix = target_path.suffix + parent = target_path.parent + while target_path.exists(): + target_path = parent / f"{original_stem}_{counter}{original_suffix}" + counter += 1 + return target_path + + def move_file(self, source, target): + try: + source.rename(target) + return True + except Exception as e: + self.logger.debug(f"rename failed for {source} to {target}: {e}, trying shutil.move") + try: + shutil.move(str(source), str(target)) + return True + except Exception as e2: + self.logger.error(f"Failed to move {source} to {target}: {str(e2)}") + self.logger.debug(traceback.format_exc()) + # Do not raise exception; just log the error + return False # Indicate failure + + def analyze_album(self, folder_path): + """ + Analyzes a folder to determine if it's an album and if it should be processed or ignored. + + Args: + folder_path (Path): Path to the folder to analyze + + Returns: + tuple: (is_album, should_process, album_name, artist_name) + is_album (bool): True if the folder is considered an album + should_process (bool): True if the album should be processed (not ignored) + album_name (str): Name of the album (if applicable) + artist_name (str): Name of the artist (if applicable) + """ + try: + # Check if it's a directory + if not folder_path.is_dir(): + self.logger.debug(f"{folder_path} is not a directory") + return False, False, None, None + + # Get all audio files in the folder + audio_files = [f for f in folder_path.glob('*') if f.suffix.lower() in SUPPORTED_EXTENSIONS] + + # Check if there are enough files to be considered an album + if len(audio_files) < 3: + return False, False, None, None + + # Check for subdirectories (albums usually don't have subdirectories) + folder_count = sum(1 for item in folder_path.iterdir() if item.is_dir()) + + if folder_count == 1: + contain_folder = True + elif folder_count > 1: + return False, False, None, None + else: + contain_folder = False + + # Analyze metadata of the files + album_names = [] + artists = {} + track_numbers = set() + filename_numbers = set() + + for file in audio_files: + file_path = file + try: + metadata = load_file(file_path) + album = metadata.get('album') + artist = metadata.get('artist') + track = metadata.get('tracknumber') + + if album: + album_value = album.value + album_names.append(album_value) + if artist: + artist_name = fix_jibrish(artist.value, "heb") + artists[artist_name] = artists.get(artist_name, 0) + 1 + + if track: + try: + track_number = int(str(track.value).split('/')[0]) # Handle "1/12" + except ValueError: + track_number = int(str(track.value)) + track_numbers.add(track_number) + + # Check for track numbers in filename + filename_match = re.search(r'^(\d+)', file.name) + if filename_match: + filename_numbers.add(int(filename_match.group(1))) + + except Exception as e: + self.logger.error(f"Error reading metadata from {file_path}: {e}") + self.logger.debug(traceback.format_exc()) + + # הוספת בדיקה למילות מפתח של סינגלים + contains_single_keyword = False + for name in album_names + list(artists.keys()): + if name: + name_lower = name.lower() + for keyword in SINGLE_KEYWORDS: + if keyword.lower() in name_lower: + contains_single_keyword = True + break + if contains_single_keyword: + break + + if contains_single_keyword: + self.logger.info(f"Album or artist name contains single keyword, treating files as singles: {folder_path}") + return False, False, None, None # Treat as not an album, so files will be processed individually + + # Determine if it's an album based on track numbers + is_album = False + if track_numbers: + is_album = len(track_numbers) == len(audio_files) and max(track_numbers) == len( + audio_files + ) + elif filename_numbers: + is_album = len(filename_numbers) == len(audio_files) and max( + filename_numbers + ) == len(audio_files) + + # Skip if album names are inconsistent + if is_album and album_names: + unique_album_names = set(album_names) + if len(unique_album_names) > 1: + self.logger.info( + f"Album detected but skipped due to inconsistent album names: {folder_path}" + ) + return True, False, None, None + + # Check consistency of album name + if not is_album and album_names: + most_common_album = max(set(album_names), key=album_names.count) + album_name_consistency = album_names.count(most_common_album) / len(audio_files) + + if len(set(album_names)) == 1: + is_album = True + elif 1 > album_name_consistency >= 0.6 and not contain_folder: + self.logger.info( + f"Inconsistency found in album names, skipping: {folder_path}" + ) + return True, False, None, None + else: + return False, False, None, None + + # Determine whether to process the album + should_process = False + main_artist = None + + if is_album and contain_folder: + self.logger.info( + f"Album skipped due to containing internal folder: {folder_path}" + ) + return True, False, None, None + + if is_album: + if not artists: + # Search for artist name in folder name + dir_name = folder_path.name + for source_name, target_name in self.singer_list: + if source_name in dir_name: + exact = check_exact_name(dir_name, source_name) + if exact: + should_process = True + main_artist = target_name + break + + if not main_artist: + self.logger.info( + f"Album detected but skipped due to lack of artist info: {folder_path}" + ) + return True, False, None, None + + elif len(artists) == 1: + should_process = True + main_artist = list(artists.keys())[0] + else: + # Check if one artist appears in 70% or more of the songs + total_songs = sum(artists.values()) + for artist, count in artists.items(): + if count / total_songs >= 0.7: + should_process = True + main_artist = artist + break + + # Determine album name + album_name = None + if album_names: + album_name = max(set(album_names), key=album_names.count) + album_name = fix_jibrish(album_name, "heb") + elif is_album: + album_name = folder_path.name + + # Log the decision + if is_album: + if should_process: + self.logger.info(f"Album detected and will be processed: {folder_path}") + self.logger.info(f"Main artist: {main_artist}") + else: + self.logger.info( + f"Album detected but will be ignored due to inconsistent artists: {folder_path}" + ) + else: + self.logger.debug(f"Not considered an album: {folder_path}") + + return is_album, should_process, album_name, main_artist + + except Exception as e: + # In case of an error, identify as an album and skip to be safe + self.logger.error(f"Error in analyze_album for {folder_path}: {e}") + self.logger.debug(traceback.format_exc()) + return True, False, None, None + + def handle_album_transfer(self, album_path, album_name, artist_name): + try: + if not album_name or not artist_name: + self.logger.warning(f"Missing album name or artist name for {album_path}") + return + + # Check if artist name is valid + if not self.check_artist(artist_name): + self.logger.warning(f"Invalid artist name for {album_path}") + return + + # Sanitize album name + safe_album_name = self.sanitize_filename(album_name) + if not safe_album_name: + self.logger.warning(f"Album name is empty after sanitization for {album_path}") + return + + # Determine artist name from the singer list + determined_artist_name = None + for source_name, target_name in self.singer_list: + if source_name in artist_name: + exact = check_exact_name(artist_name, source_name) + if exact: + determined_artist_name = target_name + break + + # Use the determined artist name or the original if not found in the list + final_artist_name = determined_artist_name if determined_artist_name else artist_name + + if not final_artist_name: + self.logger.warning(f"Empty artist name for album {album_path}, skipping") + return + + # Determine target path + if self.abc_sort: + if not final_artist_name: + self.logger.warning(f"Empty artist name for album {album_path}, skipping") + return + target_path = self.target_dir / final_artist_name[0] / final_artist_name + else: + target_path = self.target_dir / final_artist_name + + album_target_path = target_path / safe_album_name + + # Check if album already exists + if album_target_path.exists(): + self.logger.info(f"Album {album_name} already exists at {album_target_path}, skipping") + return + + # Check if artist folder exists when exist_only is True + if self.exist_only and not target_path.exists(): + self.logger.info(f"Skipped album transfer: {album_path} (artist folder does not exist)") + return + + # Create album directory if it doesn't exist + try: + album_target_path.mkdir(parents=True, exist_ok=True) + except Exception as e: + self.logger.error(f"Failed to create folder {album_target_path}: {str(e)}") + self.logger.debug(traceback.format_exc()) + return + + # Transfer the entire folder + for item in album_path.iterdir(): + source_item = item + safe_item_name = self.sanitize_filename(item.name) + if not safe_item_name: + self.logger.warning(f"Item name is empty after sanitization for {item}, skipping") + continue # Skip this item + target_item = album_target_path / safe_item_name + + if self.copy_mode: + if source_item.is_file(): + try: + shutil.copy2(source_item, target_item) + self.logger.info(f"Copied {source_item} to {target_item}") + except Exception as e: + self.logger.error(f"Failed to copy {source_item}: {str(e)}") + self.logger.debug(traceback.format_exc()) + else: + try: + shutil.copytree(source_item, target_item) + self.logger.info(f"Copied directory {source_item} to {target_item}") + except Exception as e: + self.logger.error(f"Failed to copy directory {source_item}: {str(e)}") + self.logger.debug(traceback.format_exc()) + else: + success = self.move_file(source_item, target_item) + if success: + self.logger.info(f"Moved {source_item} to {target_item}") + else: + self.logger.error(f"Failed to move {source_item} to {target_item}") + + if not self.copy_mode: + try: + album_path.rmdir() + self.logger.info(f"Removed original album folder: {album_path}") + except Exception as e: + self.logger.error( + f"Failed to remove original album folder {album_path}: {str(e)}" + ) + self.logger.debug(traceback.format_exc()) + + # Update counters + files_num = sum(1 for f in album_target_path.iterdir() if f.is_file()) + self.albums_processed += 1 + self.artist_song_count[artist_name] = self.artist_song_count.get(artist_name, 0) + files_num + + except Exception as e: + self.logger.error(f"Error in handle_album_transfer for {album_path}: {e}") + self.logger.debug(traceback.format_exc()) + + def scan_dir(self): + """ + Scans the specified directory and organizes music files into artist folders. + """ + self.logger.info("Starting directory scan") + + self.check_errors() + + info_list = [] + items_to_process = [] + if not self.main_folder_only: + for root, dirs, files in os.walk(self.source_dir): + root_path = Path(root) + items_to_process.append(root_path) + else: + items_to_process = [item for item in self.source_dir.iterdir()] + + for item in items_to_process: + try: + if item.is_dir(): + is_album, should_process, album_name, artist_name = self.analyze_album(item) + if is_album: + if should_process: + self.handle_album_transfer(item, album_name, artist_name) + continue # Skip processing individual files for albums + + audio_files = [item] if item.is_file() else [f for f in item.glob('*') if f.is_file()] + for my_file in audio_files: + if my_file.suffix.lower() in SUPPORTED_EXTENSIONS: + artists = self.artists_from_song(my_file) + if artists: + info_list.append((my_file, artists)) + except Exception as e: + self.logger.error(f"Error processing item {item}: {e}") + self.logger.debug(traceback.format_exc()) + + total_files = len(info_list) + progress_generator = self.progress_display(total_files) + + for file_path, artists in info_list: + try: + progress = next(progress_generator) + self.logger.debug(f"{progress:.2f}% completed") + if self.progress_callback: + self.progress_callback(progress) + + if not self.duet_mode: + artists = [artists[0]] # Only use the first artist if duet_mode is False + + for artist in artists: + target_path = self.get_target_path(artist) + + if not self.exist_only or (self.exist_only and target_path.is_dir()): + try: + if not target_path.exists() and not self.exist_only: + target_path.mkdir(parents=True, exist_ok=True) + self.artist_folders_created.add(artist) + except Exception as e: + self.logger.error(f"Failed to create folder {target_path}: {str(e)}") + self.logger.debug(traceback.format_exc()) + + if target_path.is_dir(): + try: + destination_file_name = self.sanitize_filename(file_path.name) + if not destination_file_name: + self.logger.warning(f"Filename is empty after sanitization for {file_path}, skipping") + continue + destination_file = target_path / destination_file_name + + if destination_file.exists(): + destination_file = self.generate_unique_filename(destination_file) + + if self.duet_mode and len(artists) > 1: + shutil.copy2(file_path, destination_file) + self.logger.info(f"Copied {file_path} to {destination_file}") + elif self.copy_mode: + shutil.copy2(file_path, destination_file) + self.logger.info(f"Copied {file_path} to {destination_file}") + else: + success = self.move_file(file_path, destination_file) + if success: + self.logger.info(f"Moved {file_path} to {destination_file}") + else: + self.logger.error(f"Failed to move {file_path} to {destination_file}") + + self.songs_sorted += 1 + self.artist_song_count[artist] = self.artist_song_count.get(artist, 0) + 1 + except Exception as e: + self.logger.error(f"Failed to process {file_path}: {str(e)}") + self.logger.debug(traceback.format_exc()) + + # If it's a duet and we've copied to all singers' folders, remove the original + if self.duet_mode and len(artists) > 1 and not self.copy_mode: + try: + if file_path.exists(): + file_path.unlink() + self.logger.info(f"Removed original file: {file_path}") + except Exception as e: + self.logger.error(f"Failed to remove original file {file_path}: {str(e)}") + self.logger.debug(traceback.format_exc()) + except Exception as e: + self.logger.error(f"Error processing file {file_path}: {e}") + self.logger.debug(traceback.format_exc()) + + self.logger.info("Directory scan completed") + + return self.generate_summary() + + + def get_target_path(self, artist): + if self.singles_folder and self.abc_sort: + return self.target_dir / artist[0] / artist / "סינגלים" + elif self.singles_folder: + return self.target_dir / artist / "סינגלים" + elif self.abc_sort: + return self.target_dir / artist[0] / artist + else: + return self.target_dir / artist + + def load_csv(self, path): + try: + with path.open('r', encoding='utf-8') as file: + return [tuple(row) for row in csv.reader(file)] + except FileNotFoundError as e: + self.logger.error(f"CSV file not found: {path}") + raise e + except Exception as e: + self.logger.error(f"Error reading CSV file {path}: {e}") + self.logger.debug(traceback.format_exc()) + return [] + + def is_cli_mode(self): + try: + return sys.stdin is not None and sys.stdin.isatty() + except AttributeError: + return False + + def list_from_csv(self): + # Import singer list from CSV file + if getattr(sys, 'frozen', False) and self.is_cli_mode(): + # Running in a bundle (e.g., PyInstaller) + main_csv_path = Path(sys._MEIPASS) / 'app' / 'singer-list.csv' + else: + main_csv_path = Path(__file__).parent / 'app' / 'singer-list.csv' + + personal_csv_path = Path(__file__).parent / 'app' / 'personal-singer-list.csv' + + csv_paths = [main_csv_path, personal_csv_path] + + singer_list = [] + for csv_path in csv_paths: + if csv_path.is_file(): + singer_list.extend(self.load_csv(csv_path)) + + if not singer_list: + raise FileNotFoundError("No singer lists found.") + + return singer_list + + def artists_from_song(self, my_file): + # ניקוי ושינוי שם הקובץ לפני ניתוח + original_filename = my_file.name + cleaned_filename = self.clean_filename(original_filename) + sanitized_filename = self.sanitize_filename(cleaned_filename) if cleaned_filename else original_filename + + # שימוש בשם הקובץ הנקי להמשך העיבוד בלבד + split_file = Path(sanitized_filename).stem # קבלת שם הקובץ ללא הסיומת + + found_artists = [] + + # שלב ראשון: בדיקת שם הקובץ באמצעות רשימת הזמרים + for source_name, target_name in self.singer_list: + if source_name in split_file: + exact = check_exact_name(split_file, source_name) + if exact: + found_artists.append(target_name) + break # מצאנו אמן, אין צורך להמשיך + + try: + metadata_file = load_file(my_file) + except Exception as e: + self.logger.error(f"Error loading metadata for file {my_file}: {e}") + self.logger.debug(traceback.format_exc()) + metadata_file = None + + if metadata_file: + # ניקוי ושינוי שם הכותרת במטאדאטה בלבד פנימית + original_title = metadata_file['title'].value + if original_title: + cleaned_title = self.clean_filename(original_title) + sanitized_title = self.sanitize_filename(cleaned_title) if cleaned_title else original_title + # שימוש בכותרת המסוננת להמשך העיבוד בלבד + else: + sanitized_title = original_title # אם אין כותרת, נשאר עם הערך המקורי + + if not found_artists and metadata_file: + # שלב שני: בדיקת שם האמן במטאדאטה + artist = metadata_file['artist'].value + if artist: + artist = fix_jibrish(artist, "heb") + # בדיקת אם האמן נמצא ברשימת הזמרים + for source_name, target_name in self.singer_list: + if source_name in artist: + exact = check_exact_name(artist, source_name) + if exact: + found_artists.append(target_name) + break + + if not found_artists and self.check_artist(artist): + # אם האמן לא נמצא ברשימה, וב-AIModels זמין + if self.ai_models and not ai_invalid: + # אימות באמצעות מודל SKLEARN + if self.ai_models.verify_artist_with_sklearn(artist): + found_artists.append(artist) + else: + self.logger.debug(f"Artist '{artist}' not verified by SKLEARN model") + else: + self.logger.debug("AI-based checks are disabled on Android.") + + if not found_artists and metadata_file: + # שלב שלישי: בדיקת שם הזמר בכותרת השיר במטאדאטה + if original_title: + # שימוש בכותרת המסוננת + title = sanitized_title + title = fix_jibrish(title, "heb") + for source_name, target_name in self.singer_list: + if source_name in title: + exact = check_exact_name(title, source_name) + if exact: + found_artists.append(target_name) + break + + if not found_artists and not ai_invalid: + # שלב רביעי: שימוש ב-NER על שם הקובץ + if self.ai_models: + self.logger.debug(f"Using NER to process filename: {split_file}") + found_artists = self.ai_models.process_with_ner(split_file) + if found_artists: + self.logger.debug(f"NER found artists in filename: {found_artists}") + else: + self.logger.debug("NER did not find any artists in filename") + # שלב חמישי: שימוש ב-NER על כותרת השיר במטאדאטה + if metadata_file and original_title: + title = sanitized_title + title = fix_jibrish(title, "heb") + self.logger.debug(f"Using NER to process title: {title}") + found_artists = self.ai_models.process_with_ner(title) + if found_artists: + self.logger.debug(f"NER found artists in title: {found_artists}") + else: + self.logger.debug("NER did not find any artists in title") + else: + self.logger.debug("AI-based checks are disabled on Android.") + + return found_artists if found_artists else None + + + def check_artist(self, artist): + if not artist or artist in UNUSUAL_LIST: + return False + + words = artist.split() + if not (1 <= len(words) < 4): + return False + + return all(c in "אבגדהוזחטיכלמנסעפצקרשתךםןףץ'׳- " for c in artist) + + def generate_summary(self): + summary = { + "songs_sorted": self.songs_sorted, + "artist_folders_created": len(self.artist_folders_created), + "albums_processed": self.albums_processed, + "top_artists": sorted( + self.artist_song_count.items(), key=lambda x: x[1], reverse=True + )[:5] + } + + summary_text = f""" +Summary of Music Sorting: +------------------------- +Total songs sorted: {summary['songs_sorted']} +New artist folders created: {summary['artist_folders_created']} +Albums processed: {summary['albums_processed']} + +Top 5 Artists by Song Count: +{self._format_top_artists(summary['top_artists'])} +""" + + self.logger.info(summary_text) + return summary + + def _format_top_artists(self, top_artists): + return "\n".join( + [f"{artist}: {count} שירים" for i, (artist, count) in enumerate(top_artists)] + ) + + +def main(): + parser = argparse.ArgumentParser( + description=f"Singles Sorter {__VERSION__} - Scan and organize music files into folders by artist using advanced automation." + ) + parser.add_argument('source_dir', help="Path to the source directory") + parser.add_argument('target_dir', nargs="?", help="Path to the target directory") + parser.add_argument( + '-c', '--copy_mode', help="Enable copy mode (default is move mode)", action='store_true' + ) + parser.add_argument( + '-a', '--abc_sort', help="Sort folders alphabetically (default: False)", action='store_true' + ) + parser.add_argument( + '-e', + '--exist_only', + help="Transfer to existing folders only (default: False)", + action='store_true' + ) + parser.add_argument( + '-n', + '--no_singles_dir', + help="Do not create an internal 'singles' folder", + action='store_false', + dest='singles_folder', + default=True + ) + parser.add_argument( + '-m', + '--main_dir_only', + help="Sort only the main folder (default: False)", + action='store_true', + dest='main_folder_only' + ) + parser.add_argument( + '-d', + '--duet_mode', + help="Copy to all singers' folders for duets (default: False)", + action='store_true' + ) + parser.add_argument( + "-f", + "--fix_names", + action="store_true", + help="Fix file names only without sorting files" + ) + parser.add_argument( + '-l', + '--log_level', + help="Set the logging level", + choices=['DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'], + default='INFO' + ) + + args = parser.parse_args() + + # Set up logging + logger = logging.getLogger('MusicSorter') + log_level = getattr(logging, args.log_level.upper()) + logger.setLevel(log_level) + + # Create logs directory if it doesn't exist + logs_dir = Path('logs') + logs_dir.mkdir(exist_ok=True) + + # File handler with unique identifier + log_filename = logs_dir / f'music_sorter_{datetime.datetime.now().strftime("%Y%m%d_%H%M%S")}_{os.getpid()}.log' + file_handler = logging.FileHandler(log_filename, encoding='utf-8') + file_handler.setLevel(log_level) + + # Console handler + console_handler = logging.StreamHandler() + console_handler.setLevel(log_level) + + # Create a formatter and add it to the handlers + formatter = logging.Formatter( + '%(asctime)s - %(name)s - %(levelname)s - %(message)s', datefmt='%Y-%m-%d %H:%M:%S' + ) + file_handler.setFormatter(formatter) + console_handler.setFormatter(formatter) + + # Add the handlers to the logger + logger.addHandler(file_handler) + logger.addHandler(console_handler) + + try: + sorter = MusicSorter( + args.source_dir, + args.target_dir, + args.copy_mode, + args.abc_sort, + args.exist_only, + args.singles_folder, + args.main_folder_only, + args.duet_mode, + log_level=log_level, + logger=logger + ) + + if args.fix_names: + sorter.fix_names() + else: + sorter.scan_dir() + except FileNotFoundError as e: + logger.error(f"File not found: {str(e)}") + logger.debug(traceback.format_exc()) + sys.exit(1) + except PermissionError as e: + logger.error(f"Permission error: {str(e)}") + logger.debug(traceback.format_exc()) + sys.exit(1) + except ValueError as e: + logger.error(f"Value error: {str(e)}") + logger.debug(traceback.format_exc()) + sys.exit(1) + except Exception as e: + logger.error(f"An unexpected error occurred: {str(e)}") + logger.debug(traceback.format_exc()) + sys.exit(1) + + +if __name__ == '__main__': + main() diff --git a/src/core/try2.py b/src/core/try2.py index 7b3268f7..d6d5b338 100644 --- a/src/core/try2.py +++ b/src/core/try2.py @@ -1,18 +1,73 @@ import flet as ft -def main(page: ft.Page): - def radio_changed(e): - print(f"Selected value: {e.control.value}") - page.update() - +def main(page): + page.title = "ListTile Examples" page.add( - ft.Row( - controls=[ - ft.Radio(value="Option 1", label=ft.Text("Option 1 with a very long label that should wrap", overflow=ft.TextOverflow.ELLIPSIS),), - ft.Radio(value="Option 2", label=ft.Text("Option 2 with a very long label that should wrap", overflow=ft.TextOverflow.ELLIPSIS),), - ], - wrap=True, - ), + ft.Card( + content=ft.Container( + width=500, + content=ft.Column( + [ + ft.ListTile( + title=ft.Text("One-line list tile"), + ), + ft.ListTile(title=ft.Text("One-line dense list tile"), dense=True), + ft.ListTile( + leading=ft.Icon(ft.icons.SETTINGS), + title=ft.Text("One-line selected list tile"), + selected=True, + ), + ft.ListTile( + leading=ft.Image(src="/icons/icon-192.png", fit="contain"), + title=ft.Text("One-line with leading control"), + ), + ft.ListTile( + title=ft.Text("One-line with trailing control"), + trailing=ft.PopupMenuButton( + icon=ft.icons.MORE_VERT, + items=[ + ft.PopupMenuItem(text="Item 1"), + ft.PopupMenuItem(text="Item 2"), + ], + ), + ), + ft.ListTile( + leading=ft.Icon(ft.icons.ALBUM), + title=ft.Text("One-line with leading and trailing controls"), + trailing=ft.PopupMenuButton( + icon=ft.icons.MORE_VERT, + items=[ + ft.PopupMenuItem(text="Item 1"), + ft.PopupMenuItem(text="Item 2"), + ], + ), + ), + ft.ListTile( + leading=ft.Checkbox( + value=page.client_storage.get("abc_sort") or False + ), + subtitle=ft.Text("התוכנה תיצור תיקיות ראשיות לכל אות באלפבית, ותכניס את תיקיות האמנים לתוכן"), + title=ft.Text("מיון אלפביתי"), + ), + + ft.ListTile( + leading=ft.Icon(ft.icons.SNOOZE), + title=ft.Text("Two-line with leading and trailing controls"), + subtitle=ft.Text("Here is a second title."), + trailing=ft.PopupMenuButton( + icon=ft.icons.MORE_VERT, + items=[ + ft.PopupMenuItem(text="Item 1"), + ft.PopupMenuItem(text="Item 2"), + ], + ), + ), + ], + spacing=0, + ), + padding=ft.padding.symmetric(vertical=10), + ) + ) ) -ft.app(target=main) \ No newline at end of file +ft.app(main) \ No newline at end of file diff --git a/src/tests/other_models/custom_ner_model23-1git/config.cfg b/src/tests/other_models/custom_ner_model23-1git/config.cfg new file mode 100644 index 00000000..204cae1d --- /dev/null +++ b/src/tests/other_models/custom_ner_model23-1git/config.cfg @@ -0,0 +1,130 @@ +[paths] +train = null +dev = null +vectors = null +init_tok2vec = null + +[system] +seed = 0 +gpu_allocator = null + +[nlp] +lang = "he" +pipeline = ["ner"] +disabled = [] +before_creation = null +after_creation = null +after_pipeline_creation = null +batch_size = 1000 +tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"} +vectors = {"@vectors":"spacy.Vectors.v1"} + +[components] + +[components.ner] +factory = "ner" +incorrect_spans_key = null +moves = null +scorer = {"@scorers":"spacy.ner_scorer.v1"} +update_with_oracle_cut_size = 100 + +[components.ner.model] +@architectures = "spacy.TransitionBasedParser.v2" +state_type = "ner" +extra_state_tokens = false +hidden_width = 64 +maxout_pieces = 2 +use_upper = true +nO = null + +[components.ner.model.tok2vec] +@architectures = "spacy.HashEmbedCNN.v2" +pretrained_vectors = null +width = 96 +depth = 4 +embed_size = 2000 +window_size = 1 +maxout_pieces = 3 +subword_features = true + +[corpora] + +[corpora.dev] +@readers = "spacy.Corpus.v1" +path = ${paths.dev} +gold_preproc = false +max_length = 0 +limit = 0 +augmenter = null + +[corpora.train] +@readers = "spacy.Corpus.v1" +path = ${paths.train} +gold_preproc = false +max_length = 0 +limit = 0 +augmenter = null + +[training] +seed = ${system.seed} +gpu_allocator = ${system.gpu_allocator} +dropout = 0.1 +accumulate_gradient = 1 +patience = 1600 +max_epochs = 0 +max_steps = 20000 +eval_frequency = 200 +frozen_components = [] +annotating_components = [] +dev_corpus = "corpora.dev" +train_corpus = "corpora.train" +before_to_disk = null +before_update = null + +[training.batcher] +@batchers = "spacy.batch_by_words.v1" +discard_oversize = false +tolerance = 0.2 +get_length = null + +[training.batcher.size] +@schedules = "compounding.v1" +start = 100 +stop = 1000 +compound = 1.001 +t = 0.0 + +[training.logger] +@loggers = "spacy.ConsoleLogger.v1" +progress_bar = false + +[training.optimizer] +@optimizers = "Adam.v1" +beta1 = 0.9 +beta2 = 0.999 +L2_is_weight_decay = true +L2 = 0.01 +grad_clip = 1.0 +use_averages = false +eps = 0.00000001 +learn_rate = 0.001 + +[training.score_weights] +ents_f = 1.0 +ents_p = 0.0 +ents_r = 0.0 +ents_per_type = null + +[pretraining] + +[initialize] +vectors = ${paths.vectors} +init_tok2vec = ${paths.init_tok2vec} +vocab_data = null +lookups = null +before_init = null +after_init = null + +[initialize.components] + +[initialize.tokenizer] \ No newline at end of file diff --git a/src/tests/other_models/custom_ner_model23-1git/iteration_data.json b/src/tests/other_models/custom_ner_model23-1git/iteration_data.json new file mode 100644 index 00000000..c5209adf --- /dev/null +++ b/src/tests/other_models/custom_ner_model23-1git/iteration_data.json @@ -0,0 +1,167 @@ +{ + "0": { + "ner": 12648.950314040685 + }, + "1": { + "ner": 5438.3619968577905 + }, + "2": { + "ner": 4151.669933947523 + }, + "3": { + "ner": 3384.0421253836344 + }, + "4": { + "ner": 2866.059501899511 + }, + "5": { + "ner": 2513.2001977768205 + }, + "6": { + "ner": 2242.0823234474187 + }, + "7": { + "ner": 2053.490322017518 + }, + "8": { + "ner": 1782.486205538286 + }, + "9": { + "ner": 1616.3673173285842 + }, + "10": { + "ner": 1535.6840246357656 + }, + "11": { + "ner": 1419.9630479364744 + }, + "12": { + 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00000000..633c08fe --- /dev/null +++ b/src/tests/other_models/custom_ner_model23-1git/meta.json @@ -0,0 +1,33 @@ +{ + "lang":"he", + "name":"find_singer_heb", + "version":"0.0.0", + "spacy_version":">=3.7.5,<3.8.0", + "description":"", + "author":"", + "email":"", + "url":"", + "license":"", + "spacy_git_version":"a6d0fc360", + "vectors":{ + "width":0, + "vectors":0, + "keys":0, + "name":null, + "mode":"default" + }, + "labels":{ + "ner":[ + "SINGER" + ] + }, + "pipeline":[ + "ner" + ], + "components":[ + "ner" + ], + "disabled":[ + + ] +} \ No newline at end of file diff --git a/src/tests/other_models/custom_ner_model23-1git/ner/cfg b/src/tests/other_models/custom_ner_model23-1git/ner/cfg new file mode 100644 index 00000000..6cd11cf7 --- /dev/null +++ b/src/tests/other_models/custom_ner_model23-1git/ner/cfg @@ -0,0 +1,13 @@ +{ + "moves":null, + "update_with_oracle_cut_size":100, + "multitasks":[ + + ], + "min_action_freq":1, + "learn_tokens":false, + "beam_width":1, + "beam_density":0.0, + "beam_update_prob":0.0, + "incorrect_spans_key":null +} \ No newline at end of file diff --git a/src/tests/other_models/custom_ner_model23-1git/ner/model b/src/tests/other_models/custom_ner_model23-1git/ner/model new file mode 100644 index 00000000..1ece877c Binary files /dev/null and b/src/tests/other_models/custom_ner_model23-1git/ner/model differ diff --git a/src/tests/other_models/custom_ner_model23-1git/ner/moves b/src/tests/other_models/custom_ner_model23-1git/ner/moves new file mode 100644 index 00000000..80f96e7b --- /dev/null +++ b/src/tests/other_models/custom_ner_model23-1git/ner/moves @@ -0,0 +1 @@ +moves`{"0":{},"1":{"SINGER":-1},"2":{"SINGER":-1},"3":{"SINGER":-1},"4":{"":1,"SINGER":-1},"5":{"":1}}cfgneg_key \ No newline at end of file diff --git a/src/tests/other_models/custom_ner_model23-1git/tokenizer b/src/tests/other_models/custom_ner_model23-1git/tokenizer new file mode 100644 index 00000000..dc3483a2 --- /dev/null +++ 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diff --git a/src/tests/other_models/custom_ner_model23-4git/ner/moves b/src/tests/other_models/custom_ner_model23-4git/ner/moves new file mode 100644 index 00000000..80f96e7b --- /dev/null +++ b/src/tests/other_models/custom_ner_model23-4git/ner/moves @@ -0,0 +1 @@ +moves`{"0":{},"1":{"SINGER":-1},"2":{"SINGER":-1},"3":{"SINGER":-1},"4":{"":1,"SINGER":-1},"5":{"":1}}cfgneg_key \ No newline at end of file diff --git a/src/tests/other_models/custom_ner_model23-4git/tokenizer b/src/tests/other_models/custom_ner_model23-4git/tokenizer new file mode 100644 index 00000000..dc3483a2 --- /dev/null +++ b/src/tests/other_models/custom_ner_model23-4git/tokenizer @@ -0,0 +1,3 @@ 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b/src/tests/other_models/custom_ner_model23git/config.cfg new file mode 100644 index 00000000..204cae1d --- /dev/null +++ b/src/tests/other_models/custom_ner_model23git/config.cfg @@ -0,0 +1,130 @@ +[paths] +train = null +dev = null +vectors = null +init_tok2vec = null + +[system] +seed = 0 +gpu_allocator = null + +[nlp] +lang = "he" +pipeline = ["ner"] +disabled = [] +before_creation = null +after_creation = null +after_pipeline_creation = null +batch_size = 1000 +tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"} +vectors = {"@vectors":"spacy.Vectors.v1"} + +[components] + +[components.ner] +factory = "ner" +incorrect_spans_key = null +moves = null +scorer = {"@scorers":"spacy.ner_scorer.v1"} +update_with_oracle_cut_size = 100 + +[components.ner.model] +@architectures = "spacy.TransitionBasedParser.v2" +state_type = "ner" +extra_state_tokens = false +hidden_width = 64 +maxout_pieces = 2 +use_upper = true +nO = null + +[components.ner.model.tok2vec] +@architectures = 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b/src/tests/other_models/custom_ner_model23git/ner/moves @@ -0,0 +1 @@ +moves`{"0":{},"1":{"SINGER":-1},"2":{"SINGER":-1},"3":{"SINGER":-1},"4":{"":1,"SINGER":-1},"5":{"":1}}cfgneg_key \ No newline at end of file diff --git a/src/tests/other_models/custom_ner_model23git/tokenizer b/src/tests/other_models/custom_ner_model23git/tokenizer new file mode 100644 index 00000000..dc3483a2 --- /dev/null +++ b/src/tests/other_models/custom_ner_model23git/tokenizer @@ -0,0 +1,3 @@ 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a/src/tests/other_models/custom_ner_model25-1git/config.cfg b/src/tests/other_models/custom_ner_model25-1git/config.cfg new file mode 100644 index 00000000..204cae1d --- /dev/null +++ b/src/tests/other_models/custom_ner_model25-1git/config.cfg @@ -0,0 +1,130 @@ +[paths] +train = null +dev = null +vectors = null +init_tok2vec = null + +[system] +seed = 0 +gpu_allocator = null + +[nlp] +lang = "he" +pipeline = ["ner"] +disabled = [] +before_creation = null +after_creation = null +after_pipeline_creation = null +batch_size = 1000 +tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"} +vectors = {"@vectors":"spacy.Vectors.v1"} + +[components] + +[components.ner] +factory = "ner" +incorrect_spans_key = null +moves = null +scorer = {"@scorers":"spacy.ner_scorer.v1"} +update_with_oracle_cut_size = 100 + +[components.ner.model] +@architectures = "spacy.TransitionBasedParser.v2" +state_type = "ner" +extra_state_tokens = false +hidden_width = 64 +maxout_pieces = 2 +use_upper = true +nO = null + 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a/src/tests/other_models/custom_ner_model27-4git/config.cfg b/src/tests/other_models/custom_ner_model27-4git/config.cfg new file mode 100644 index 00000000..204cae1d --- /dev/null +++ b/src/tests/other_models/custom_ner_model27-4git/config.cfg @@ -0,0 +1,130 @@ +[paths] +train = null +dev = null +vectors = null +init_tok2vec = null + +[system] +seed = 0 +gpu_allocator = null + +[nlp] +lang = "he" +pipeline = ["ner"] +disabled = [] +before_creation = null +after_creation = null +after_pipeline_creation = null +batch_size = 1000 +tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"} +vectors = {"@vectors":"spacy.Vectors.v1"} + +[components] + +[components.ner] +factory = "ner" +incorrect_spans_key = null +moves = null +scorer = {"@scorers":"spacy.ner_scorer.v1"} +update_with_oracle_cut_size = 100 + +[components.ner.model] +@architectures = "spacy.TransitionBasedParser.v2" +state_type = "ner" +extra_state_tokens = false +hidden_width = 64 +maxout_pieces = 2 +use_upper = true +nO = null + +[components.ner.model.tok2vec] +@architectures = "spacy.HashEmbedCNN.v2" +pretrained_vectors = null +width = 96 +depth = 4 +embed_size = 2000 +window_size = 1 +maxout_pieces = 3 +subword_features = true + +[corpora] + +[corpora.dev] +@readers = "spacy.Corpus.v1" +path = ${paths.dev} +gold_preproc = false +max_length = 0 +limit = 0 +augmenter = null + +[corpora.train] +@readers = "spacy.Corpus.v1" +path = ${paths.train} +gold_preproc = false +max_length = 0 +limit = 0 +augmenter = null + +[training] +seed = ${system.seed} +gpu_allocator = ${system.gpu_allocator} +dropout = 0.1 +accumulate_gradient = 1 +patience = 1600 +max_epochs = 0 +max_steps = 20000 +eval_frequency = 200 +frozen_components = [] +annotating_components = [] +dev_corpus = "corpora.dev" +train_corpus = "corpora.train" +before_to_disk = null +before_update = null + +[training.batcher] +@batchers = "spacy.batch_by_words.v1" +discard_oversize = false +tolerance = 0.2 +get_length = null + +[training.batcher.size] 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Hebrew song titles", + "author":"nhlocal", + "email":"nh.local11@gmail.com", + "url":"", + "license":"MIT", + "spacy_git_version":"a6d0fc360", + "vectors":{ + "width":0, + "vectors":0, + "keys":0, + "name":null, + "mode":"default" + }, + "labels":{ + "ner":[ + "SINGER" + ] + }, + "pipeline":[ + "ner" + ], + "components":[ + "ner" + ], + "disabled":[ + + ], + "tags":[ + "NER", + "Hebrew", + "Singer", + "Named Entity Recognition", + "Text Classification" + ] +} \ No newline at end of file diff --git a/src/tests/other_models/custom_ner_model27-4git/ner/cfg b/src/tests/other_models/custom_ner_model27-4git/ner/cfg new file mode 100644 index 00000000..6cd11cf7 --- /dev/null +++ b/src/tests/other_models/custom_ner_model27-4git/ner/cfg @@ -0,0 +1,13 @@ +{ + "moves":null, + "update_with_oracle_cut_size":100, + "multitasks":[ + + ], + "min_action_freq":1, + "learn_tokens":false, + "beam_width":1, + "beam_density":0.0, + "beam_update_prob":0.0, + "incorrect_spans_key":null +} \ No newline at end of file diff --git a/src/tests/other_models/custom_ner_model27-4git/ner/model b/src/tests/other_models/custom_ner_model27-4git/ner/model new file mode 100644 index 00000000..8272178f Binary files /dev/null and b/src/tests/other_models/custom_ner_model27-4git/ner/model differ diff --git a/src/tests/other_models/custom_ner_model27-4git/ner/moves b/src/tests/other_models/custom_ner_model27-4git/ner/moves new file mode 100644 index 00000000..80f96e7b --- /dev/null +++ b/src/tests/other_models/custom_ner_model27-4git/ner/moves @@ -0,0 +1 @@ +moves`{"0":{},"1":{"SINGER":-1},"2":{"SINGER":-1},"3":{"SINGER":-1},"4":{"":1,"SINGER":-1},"5":{"":1}}cfgneg_key \ No newline at end of file diff --git a/src/tests/other_models/custom_ner_model27-4git/tokenizer b/src/tests/other_models/custom_ner_model27-4git/tokenizer new file mode 100644 index 00000000..dc3483a2 --- /dev/null +++ b/src/tests/other_models/custom_ner_model27-4git/tokenizer @@ -0,0 +1,3 @@ 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a/src/tests/other_models/custom_ner_model29git/config.cfg b/src/tests/other_models/custom_ner_model29git/config.cfg new file mode 100644 index 00000000..204cae1d --- /dev/null +++ b/src/tests/other_models/custom_ner_model29git/config.cfg @@ -0,0 +1,130 @@ +[paths] +train = null +dev = null +vectors = null +init_tok2vec = null + +[system] +seed = 0 +gpu_allocator = null + +[nlp] +lang = "he" +pipeline = ["ner"] +disabled = [] +before_creation = null +after_creation = null +after_pipeline_creation = null +batch_size = 1000 +tokenizer = {"@tokenizers":"spacy.Tokenizer.v1"} +vectors = {"@vectors":"spacy.Vectors.v1"} + +[components] + +[components.ner] +factory = "ner" +incorrect_spans_key = null +moves = null +scorer = {"@scorers":"spacy.ner_scorer.v1"} +update_with_oracle_cut_size = 100 + +[components.ner.model] +@architectures = "spacy.TransitionBasedParser.v2" +state_type = "ner" +extra_state_tokens = false +hidden_width = 64 +maxout_pieces = 2 +use_upper = true +nO = null + +[components.ner.model.tok2vec] +@architectures = "spacy.HashEmbedCNN.v2" +pretrained_vectors = null +width = 96 +depth = 4 +embed_size = 2000 +window_size = 1 +maxout_pieces = 3 +subword_features = true + +[corpora] + +[corpora.dev] +@readers = "spacy.Corpus.v1" +path = ${paths.dev} +gold_preproc = false +max_length = 0 +limit = 0 +augmenter = null + +[corpora.train] +@readers = "spacy.Corpus.v1" +path = ${paths.train} +gold_preproc = false +max_length = 0 +limit = 0 +augmenter = null + +[training] +seed = ${system.seed} +gpu_allocator = ${system.gpu_allocator} +dropout = 0.1 +accumulate_gradient = 1 +patience = 1600 +max_epochs = 0 +max_steps = 20000 +eval_frequency = 200 +frozen_components = [] +annotating_components = [] +dev_corpus = "corpora.dev" +train_corpus = "corpora.train" +before_to_disk = null +before_update = null + +[training.batcher] +@batchers = "spacy.batch_by_words.v1" +discard_oversize = false +tolerance = 0.2 +get_length = null + +[training.batcher.size] 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b/src/tests/other_models/custom_ner_model29git/ner/model new file mode 100644 index 00000000..860f43f3 Binary files /dev/null and b/src/tests/other_models/custom_ner_model29git/ner/model differ diff --git a/src/tests/other_models/custom_ner_model29git/ner/moves b/src/tests/other_models/custom_ner_model29git/ner/moves new file mode 100644 index 00000000..80f96e7b --- /dev/null +++ b/src/tests/other_models/custom_ner_model29git/ner/moves @@ -0,0 +1 @@ +moves`{"0":{},"1":{"SINGER":-1},"2":{"SINGER":-1},"3":{"SINGER":-1},"4":{"":1,"SINGER":-1},"5":{"":1}}cfgneg_key \ No newline at end of file diff --git a/src/tests/other_models/custom_ner_model29git/tokenizer b/src/tests/other_models/custom_ner_model29git/tokenizer new file mode 100644 index 00000000..dc3483a2 --- /dev/null +++ b/src/tests/other_models/custom_ner_model29git/tokenizer @@ -0,0 +1,3 @@ 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"\u00b0c.", + "\u00b0f.", + "\u00b0k.", + "\u00b0x.", + "\u00e4", + "\u00e4.", + "\u00f6", + "\u00f6.", + "\u00fc", + "\u00fc.", + "\u0ca0", + "\u0ca0_\u0ca0", + "\u0ca0\ufe35\u0ca0", + "\u2014", + "\u2501", + "\u253b", + "\u253b\u2501\u253b", + "\u256f", + "\u25a1", + "\u30c4", + "\ufe35", + "\uff09" +] \ No newline at end of file diff --git a/src/tests/other_models/custom_ner_model29git/vocab/vectors b/src/tests/other_models/custom_ner_model29git/vocab/vectors new file mode 100644 index 00000000..ebadaa58 Binary files /dev/null and b/src/tests/other_models/custom_ner_model29git/vocab/vectors differ diff --git a/src/tests/other_models/custom_ner_model29git/vocab/vectors.cfg b/src/tests/other_models/custom_ner_model29git/vocab/vectors.cfg new file mode 100644 index 00000000..32c800af --- /dev/null +++ b/src/tests/other_models/custom_ner_model29git/vocab/vectors.cfg @@ -0,0 +1,3 @@ +{ + "mode":"default" +} \ No newline at end of file diff --git a/src/tests/round_border_images.py b/src/tests/round_border_images.py new file mode 100644 index 00000000..b46f4e4b --- /dev/null +++ b/src/tests/round_border_images.py @@ -0,0 +1,37 @@ +import os +from PIL import Image, ImageDraw + +def add_rounded_corners(image_path, output_path, radius): + img = Image.open(image_path).convert("RGBA") + width, height = img.size + + # Create a rounded mask + rounded_mask = Image.new("L", (width, height), 0) + draw = ImageDraw.Draw(rounded_mask) + draw.rounded_rectangle((0, 0, width, height), radius=radius, fill=255) + + # Apply the mask to the image + img.putalpha(rounded_mask) + + # Save the output image + img.save(output_path, format="PNG") + +def process_images_in_folder(input_folder, output_folder, radius): + # Check if the output folder exists, if not, create it + if not os.path.exists(output_folder): + os.makedirs(output_folder) + + # Loop through all files in the input folder + for filename in os.listdir(input_folder): + if filename.lower().endswith(('.png', '.jpg', '.jpeg')): # Filter image files + input_path = os.path.join(input_folder, filename) + output_path = os.path.join(output_folder, filename) + add_rounded_corners(input_path, output_path, radius) + print(f"Processed: {filename}") + +# שימוש בקוד +input_folder = r"c:\Users\me\Documents\GitHub\Singles-Sorter\src\core\app\assets" +output_folder = r"c:\Users\me\Documents\GitHub\Singles-Sorter\src\core\app\assets2" +radius = 15 # רמת עיגול הפינות + +process_images_in_folder(input_folder, output_folder, radius) \ No newline at end of file diff --git a/src/tests/tempo_sorting.py b/src/tests/tempo_sorting.py new file mode 100644 index 00000000..a3c2363d --- /dev/null +++ b/src/tests/tempo_sorting.py @@ -0,0 +1,39 @@ +import os +import librosa + +# הגדרת קטגוריות קצב וטווחי BPM +tempo_categories = { + 'רגוע': (0, 60), + 'מתון': (61, 100), + 'מהיר': (101, 140), + 'אנרגטי': (141, 180), + 'סוער': (181, 300) # בהנחה ש-300 הוא ה-BPM המקסימלי +} + +# ספרייה המכילה את קבצי השירים +directory = input("add path for dir\n>>>") + +# יצירת מילון לאחסון השירים המסווגים +categorized_songs = {category: [] for category in tempo_categories} + +# עיבוד כל קובץ שיר בספרייה +for filename in os.listdir(directory): + if filename.endswith('.mp3') or filename.endswith('.wav'): + file_path = os.path.join(directory, filename) + # טעינת קובץ האודיו + y, sr = librosa.load(file_path) + # הערכת הקצב (BPM) + tempo, _ = librosa.beat.beat_track(y=y, sr=sr) + bpm = int(tempo) + # סיווג השיר לפי הקצב + for category, (min_bpm, max_bpm) in tempo_categories.items(): + if min_bpm <= bpm <= max_bpm: + categorized_songs[category].append(filename) + break + +# הדפסת השירים המסווגים +for category, song_list in categorized_songs.items(): + print(f"שירים בקטגוריית {category}:") + for title in song_list: + print(f" - {title}") + print()