Remove Beta from QC Version

Author: ccbogel

src/qualcoder/app.py

@@ -23,37 +23,36 @@
 """
 
 import configparser
-import datetime
-import locale as py_locale
-import logging
-import os
-import platform
-import shutil
-import sqlite3
-import sys
-import urllib.error as urllib_err
-import urllib.request
-import webbrowser
-import zipfile
-from copy import copy
-from pathlib import Path
-from typing import Any, Optional
-
-from PyQt6 import QtCore, QtGui, QtWidgets
-
-from qualcoder.ai_mcp_server import AiMcpServer
-from qualcoder.ai_llm import get_default_ai_models, update_ai_models
-from qualcoder.ai_runtime import (
-    AI_DISABLED,
-    AI_INITIALIZING,
-    AI_READY,
-    AI_UNLOADED,
-    VECTORSTORE_DISABLED,
-    VECTORSTORE_UNLOADED,
-    vectorstore_required,
-)
-from qualcoder.helpers import get_default_user_directory, Message
-from qualcoder.speakers import speaker_coder_name
+import datetime
+import locale as py_locale
+import logging
+import os
+import platform
+from PyQt6 import QtCore, QtGui, QtWidgets
+import shutil
+import sqlite3
+import sys
+import urllib.error as urllib_err
+import urllib.request
+import webbrowser
+import zipfile
+from copy import copy
+from pathlib import Path
+from typing import Any, Optional
+
+from qualcoder.ai_mcp_server import AiMcpServer
+from qualcoder.ai_llm import get_default_ai_models, update_ai_models
+from qualcoder.ai_runtime import (
+    AI_DISABLED,
+    AI_INITIALIZING,
+    AI_READY,
+    AI_UNLOADED,
+    VECTORSTORE_DISABLED,
+    VECTORSTORE_UNLOADED,
+    vectorstore_required,
+)
+from qualcoder.helpers import get_default_user_directory, Message
+from qualcoder.speakers import speaker_coder_name
 
 qc_config_folder = Path('~').expanduser() / '.qualcoder'
 logger = logging.getLogger(__name__)
@@ -117,7 +116,7 @@ class App(object):
     """
 
     def __init__(self):
-        self.version = "QualCoder 4.0 Beta"  # Must start with 'QualCoder '
+        self.version = "QualCoder 4.0"  # Must start with 'QualCoder '
         self.citation = f"Citation:\nCurtain C, Dröge K, Missaghieh--Poncet J, Salomón L. (2026) {self.version} [Computer software].\n"
         self.citation += f"Retrieved from https://github.com/ccbogel/QualCoder/releases/tag/{self.version}"
         self.conn = None
@@ -131,85 +130,85 @@ def __init__(self):
         self.confighome = str(qc_config_folder)
         self.configpath = str(qc_config_folder / 'config.ini')
         self.persist_path = str(qc_config_folder / 'recent_projects.txt')
-        self.pending_ai_model_upgrade_offer = None
-        self.ai_runtime_error = ""
-        self.settings, self.ai_models = self.load_settings()
-        self.ai_runtime_state = (
-            AI_UNLOADED if self.settings['ai_enable'] == 'True' else AI_DISABLED
-        )
+        self.pending_ai_model_upgrade_offer = None
+        self.ai_runtime_error = ""
+        self.settings, self.ai_models = self.load_settings()
+        self.ai_runtime_state = (
+            AI_UNLOADED if self.settings['ai_enable'] == 'True' else AI_DISABLED
+        )
         self.last_export_directory = copy(self.settings['directory'])
-        self.ai = None
-        # The project vectorstore is shared by AI and external MCP. Expensive
-        # dependencies are imported only when a consumer constructs the store.
-        self.vectorstore = None
-        self.vectorstore_runtime_state = (
-            VECTORSTORE_UNLOADED if vectorstore_required(self) else VECTORSTORE_DISABLED
-        )
-        self.vectorstore_runtime_error = ""
-        # Sentence transformer embedding function. It is stored here so it must not be reloaded every time a project is opened.
-        self.ai_embedding_function = None
-        self.project_events = ProjectEventBus()
-        self.ai_mcp_server = AiMcpServer(self)
-
-    def get_ai_status(self) -> str:
-        """Return one status covering both runtime loading and AI operation."""
-
-        if self.ai_runtime_state != AI_READY:
-            return self.ai_runtime_state
-        if self.ai is None:
-            return AI_INITIALIZING
-        return self.ai.get_status()
-
-    def _active_vectorstore(self) -> Optional[Any]:
-        """Return the shared vectorstore when a configured consumer needs it."""
-
-        if not vectorstore_required(self):
-            return None
-        return self.vectorstore
-
-    def vectorstore_import_document(
-            self, source_id: int, source_name: str, text: Optional[str]) -> None:
-        """Queue one changed source document for indexing when search is active.
-
-        Args:
-            source_id: Project source id.
-            source_name: Current source name.
-            text: Current source text.
-        """
-
-        vectorstore = self._active_vectorstore()
-        if vectorstore is None:
-            return
-        try:
-            vectorstore.import_document(source_id, source_name, text)
-        except Exception as err:
-            logger.warning("Could not update vectorstore document %s: %s", source_id, err)
-
-    def vectorstore_update(self) -> None:
-        """Queue a full synchronization of the active shared vectorstore."""
-
-        vectorstore = self._active_vectorstore()
-        if vectorstore is None:
-            return
-        try:
-            vectorstore.update_vectorstore()
-        except Exception as err:
-            logger.warning("Could not update vectorstore: %s", err)
-
-    def vectorstore_delete_document(self, source_id: int) -> None:
-        """Remove one source document from the active shared vectorstore.
-
-        Args:
-            source_id: Project source id.
-        """
-
-        vectorstore = self._active_vectorstore()
-        if vectorstore is None:
-            return
-        try:
-            vectorstore.delete_document(source_id)
-        except Exception as err:
-            logger.warning("Could not remove vectorstore document %s: %s", source_id, err)
+        self.ai = None
+        # The project vectorstore is shared by AI and external MCP. Expensive
+        # dependencies are imported only when a consumer constructs the store.
+        self.vectorstore = None
+        self.vectorstore_runtime_state = (
+            VECTORSTORE_UNLOADED if vectorstore_required(self) else VECTORSTORE_DISABLED
+        )
+        self.vectorstore_runtime_error = ""
+        # Sentence transformer embedding function. It is stored here so it must not be reloaded every time a project is opened.
+        self.ai_embedding_function = None
+        self.project_events = ProjectEventBus()
+        self.ai_mcp_server = AiMcpServer(self)
+
+    def get_ai_status(self) -> str:
+        """Return one status covering both runtime loading and AI operation."""
+
+        if self.ai_runtime_state != AI_READY:
+            return self.ai_runtime_state
+        if self.ai is None:
+            return AI_INITIALIZING
+        return self.ai.get_status()
+
+    def _active_vectorstore(self) -> Optional[Any]:
+        """Return the shared vectorstore when a configured consumer needs it."""
+
+        if not vectorstore_required(self):
+            return None
+        return self.vectorstore
+
+    def vectorstore_import_document(
+            self, source_id: int, source_name: str, text: Optional[str]) -> None:
+        """Queue one changed source document for indexing when search is active.
+
+        Args:
+            source_id: Project source id.
+            source_name: Current source name.
+            text: Current source text.
+        """
+
+        vectorstore = self._active_vectorstore()
+        if vectorstore is None:
+            return
+        try:
+            vectorstore.import_document(source_id, source_name, text)
+        except Exception as err:
+            logger.warning("Could not update vectorstore document %s: %s", source_id, err)
+
+    def vectorstore_update(self) -> None:
+        """Queue a full synchronization of the active shared vectorstore."""
+
+        vectorstore = self._active_vectorstore()
+        if vectorstore is None:
+            return
+        try:
+            vectorstore.update_vectorstore()
+        except Exception as err:
+            logger.warning("Could not update vectorstore: %s", err)
+
+    def vectorstore_delete_document(self, source_id: int) -> None:
+        """Remove one source document from the active shared vectorstore.
+
+        Args:
+            source_id: Project source id.
+        """
+
+        vectorstore = self._active_vectorstore()
+        if vectorstore is None:
+            return
+        try:
+            vectorstore.delete_document(source_id)
+        except Exception as err:
+            logger.warning("Could not remove vectorstore document %s: %s", source_id, err)
 
     def read_previous_project_paths(self):
         """ Recent project paths are stored in .qualcoder/recent_projects.txt
@@ -974,10 +973,10 @@ def check_and_add_additional_settings(self, settings_data, ai_models):
                 'stylesheet', 'backup_num',
                 'report_text_context_characters', 'report_text_context_style',
                 'ai_enable', 'ai_first_startup', 'ai_model_index', 'ai_chat_sidebar',
-                'ai_permissions', 'ai_extended_logging', 'ai_model_upgrade_offers_seen',
-                'ai_model_upgrade_offer_pending',
-                'mcp_external_enabled', 'external_mcp_notice_acknowledged', 'mcp_external_port',
-                'ai_chat_sidebar_width', 'ai_chat_splitter_output_bottom'
+                'ai_permissions', 'ai_extended_logging', 'ai_model_upgrade_offers_seen',
+                'ai_model_upgrade_offer_pending',
+                'mcp_external_enabled', 'external_mcp_notice_acknowledged', 'mcp_external_port',
+                'ai_chat_sidebar_width', 'ai_chat_splitter_output_bottom'
                 ]
         for key in keys:
             if key not in settings_data:
@@ -1013,16 +1012,16 @@ def check_and_add_additional_settings(self, settings_data, ai_models):
                     settings_data[key] = 1
                 if key == 'ai_extended_logging':
                     settings_data[key] = 'False'
-                if key == 'ai_model_upgrade_offers_seen':
-                    settings_data[key] = ''
-                if key == 'ai_model_upgrade_offer_pending':
-                    settings_data[key] = ''
-                if key == 'mcp_external_enabled':
-                    settings_data[key] = 'False'
-                if key == 'external_mcp_notice_acknowledged':
-                    settings_data[key] = 'False'
-                if key == 'mcp_external_port':
-                    settings_data[key] = 47363
+                if key == 'ai_model_upgrade_offers_seen':
+                    settings_data[key] = ''
+                if key == 'ai_model_upgrade_offer_pending':
+                    settings_data[key] = ''
+                if key == 'mcp_external_enabled':
+                    settings_data[key] = 'False'
+                if key == 'external_mcp_notice_acknowledged':
+                    settings_data[key] = 'False'
+                if key == 'mcp_external_port':
+                    settings_data[key] = 47363
                 if key == 'ai_chat_sidebar':
                     settings_data[key] = 'False'
                 if key == 'ai_chat_sidebar_width':
@@ -1036,18 +1035,18 @@ def check_and_add_additional_settings(self, settings_data, ai_models):
                 if key == 'dialogcodepdf_page_view':
                     settings_data[key] = 0
 
-        ai_permissions = settings_data.get('ai_permissions', 1)
-        if ai_permissions not in (0, 1, 2):
-            settings_data['ai_permissions'] = 1
-            settings_updated = True
-
-        mcp_enabled = str(settings_data.get('mcp_external_enabled', 'False')).lower() == 'true'
-        notice_acknowledged = str(
-            settings_data.get('external_mcp_notice_acknowledged', 'False')
-        ).lower() == 'true'
-        if mcp_enabled and not notice_acknowledged:
-            settings_data['mcp_external_enabled'] = 'False'
-            settings_updated = True
+        ai_permissions = settings_data.get('ai_permissions', 1)
+        if ai_permissions not in (0, 1, 2):
+            settings_data['ai_permissions'] = 1
+            settings_updated = True
+
+        mcp_enabled = str(settings_data.get('mcp_external_enabled', 'False')).lower() == 'true'
+        notice_acknowledged = str(
+            settings_data.get('external_mcp_notice_acknowledged', 'False')
+        ).lower() == 'true'
+        if mcp_enabled and not notice_acknowledged:
+            settings_data['mcp_external_enabled'] = 'False'
+            settings_updated = True
 
         # Check AI models
         if len(ai_models) == 0:  # No models loaded, create default
@@ -1306,16 +1305,16 @@ def highlight_color(self):
             return "#303f9f"
         if self.settings['stylesheet'] == "purple":
             return "#ca1b9a"
-        if self.settings['stylesheet'] == "native":
-            palette = QtWidgets.QApplication.instance().palette()
-            color_role = QtGui.QPalette.ColorRole.Highlight
-            if platform.system() == "Darwin":
-                color_role = getattr(
-                    QtGui.QPalette.ColorRole,
-                    "Accent",
-                    QtGui.QPalette.ColorRole.Highlight,
-                )
-            return palette.color(color_role).name(QtGui.QColor.NameFormat.HexRgb)
+        if self.settings['stylesheet'] == "native":
+            palette = QtWidgets.QApplication.instance().palette()
+            color_role = QtGui.QPalette.ColorRole.Highlight
+            if platform.system() == "Darwin":
+                color_role = getattr(
+                    QtGui.QPalette.ColorRole,
+                    "Accent",
+                    QtGui.QPalette.ColorRole.Highlight,
+                )
+            return palette.color(color_role).name(QtGui.QColor.NameFormat.HexRgb)
         return '#f89407'  # Default
 
     def qtawesome_icon_color(self):
@@ -1453,13 +1452,13 @@ def default_settings(self):
             'ai_first_startup': 'True',
             'ai_model_index': -1,
             'ai_permissions': 1,
-            'ai_extended_logging': 'False',
-            'ai_model_upgrade_offers_seen': '',
-            'ai_model_upgrade_offer_pending': '',
-            'mcp_external_enabled': 'False',
-            'external_mcp_notice_acknowledged': 'False',
-            'mcp_external_port': 47363,
-            'ai_chat_sidebar': 'False',
+            'ai_extended_logging': 'False',
+            'ai_model_upgrade_offers_seen': '',
+            'ai_model_upgrade_offer_pending': '',
+            'mcp_external_enabled': 'False',
+            'external_mcp_notice_acknowledged': 'False',
+            'mcp_external_port': 47363,
+            'ai_chat_sidebar': 'False',
             'ai_chat_sidebar_width': 320,
             'ai_chat_splitter_output_bottom': 80
         }