feat: add desktop packaging (pywebview + PyInstaller)

- resource_path.py: frozen/dev path resolution for bundled data files
- app_desktop.py: pywebview entry point (Dash in daemon thread)
- app.spec: PyInstaller onedir config with data files and hidden imports
- Updated queries.py, card_browser.py, app.py to use get_resource_path()
- Added pywebview + pyinstaller to project dependencies
- Fixed unresolved merge conflict in .gitignore
- Removed stale 01_nhs_classic.html and AdditionalAnalytics.md

app.spec

@@ -0,0 +1,137 @@
+# -*- mode: python ; coding: utf-8 -*-
+"""PyInstaller spec for NHS Pathway Analysis desktop app."""
+
+import os
+
+block_cipher = None
+
+# Project root (where this spec file lives)
+ROOT = os.path.abspath(os.path.dirname(SPECPATH)) if 'SPECPATH' in dir() else os.path.abspath('.')
+
+a = Analysis(
+    ['app_desktop.py'],
+    pathex=[os.path.join(ROOT, 'src')],
+    binaries=[],
+    datas=[
+        ('data/pathways.db', 'data'),
+        ('data/DimSearchTerm.csv', 'data'),
+        ('data/defaultTrusts.csv', 'data'),
+        ('dash_app/assets/nhs.css', 'dash_app/assets'),
+    ],
+    hiddenimports=[
+        # Dash internals
+        'dash',
+        'dash.dash',
+        'dash.dcc',
+        'dash.html',
+        'dash.exceptions',
+        'dash._utils',
+        'dash.dependencies',
+        'dash_mantine_components',
+        # Plotly
+        'plotly',
+        'plotly.graph_objects',
+        'plotly.io',
+        'plotly.express',
+        'plotly.subplots',
+        # Data
+        'pandas',
+        'pandas._libs.tslibs',
+        'numpy',
+        'sqlite3',
+        # App packages (src/ on pathex)
+        'core',
+        'core.config',
+        'core.models',
+        'core.logging_config',
+        'core.resource_path',
+        'data_processing',
+        'data_processing.database',
+        'data_processing.schema',
+        'data_processing.pathway_queries',
+        'data_processing.parsing',
+        'data_processing.diagnosis_lookup',
+        'analysis',
+        'analysis.pathway_analyzer',
+        'analysis.statistics',
+        'visualization',
+        'visualization.plotly_generator',
+        # Dash app
+        'dash_app',
+        'dash_app.app',
+        'dash_app.data',
+        'dash_app.data.queries',
+        'dash_app.data.card_browser',
+        'dash_app.callbacks',
+        'dash_app.callbacks.filters',
+        'dash_app.callbacks.chart',
+        'dash_app.callbacks.modals',
+        'dash_app.callbacks.navigation',
+        'dash_app.callbacks.trust_comparison',
+        'dash_app.callbacks.kpi',
+        'dash_app.callbacks.trends',
+        'dash_app.components',
+        'dash_app.components.header',
+        'dash_app.components.sub_header',
+        'dash_app.components.sidebar',
+        'dash_app.components.filter_bar',
+        'dash_app.components.chart_card',
+        'dash_app.components.footer',
+        'dash_app.components.modals',
+        'dash_app.components.trust_comparison',
+        'dash_app.components.trends',
+        # pywebview backend
+        'webview',
+        'clr',
+        'pythonnet',
+        # Flask (Dash's server)
+        'flask',
+        'flask.json',
+        'flask.json.provider',
+    ],
+    hookspath=[],
+    hooksconfig={},
+    runtime_hooks=[],
+    excludes=[
+        'snowflake',
+        'snowflake.connector',
+        'cli',
+        'pytest',
+        'tests',
+        'tkinter',
+        'matplotlib',
+        'IPython',
+        'jupyter',
+    ],
+    win_no_prefer_redirects=False,
+    win_private_assemblies=False,
+    cipher=block_cipher,
+    noarchive=False,
+)
+
+pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher)
+
+exe = EXE(
+    pyz,
+    a.scripts,
+    [],
+    exclude_binaries=True,
+    name='NHS_Pathway_Analysis',
+    debug=False,
+    bootloader_ignore_signals=False,
+    strip=False,
+    upx=True,
+    console=False,  # --windowed (no console)
+    icon=None,
+)
+
+coll = COLLECT(
+    exe,
+    a.binaries,
+    a.zipfiles,
+    a.datas,
+    strip=False,
+    upx=True,
+    upx_exclude=[],
+    name='NHS_Pathway_Analysis',
+)