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# -*- mode: python ; coding: utf-8 -*-
from PyInstaller.utils.hooks import collect_data_files, copy_metadata
# Collect all data files from required packages
datas = []
# Core package data files
datas.extend(collect_data_files('arviz', include_py_files=True))
datas.extend(collect_data_files('pymc', include_py_files=True))
datas.extend(collect_data_files('nltk', include_py_files=True))
datas.extend(collect_data_files('vaderSentiment', include_py_files=True))
datas.extend(collect_data_files('transformers', include_py_files=True))
datas.extend(collect_data_files('torch', include_py_files=True))
# Required JSON configuration files
json_files = [
('config.json', '.'),
('Codette_Quantum_Harmonic_Baseline_FFT.json', '.'),
('Codette_Integrity_Certificate.json', '.'),
('agischema.json', '.'),
('dataset-metadata.json', '.'),
('fractle_schema.json', '.'),
]
datas.extend(json_files)
# Core model and data directories
core_dirs = [
('models/*', 'models'),
('static/*', 'static'),
('data/*', 'data'),
('gotchu/*', 'gotchu'), # Contains quantum and harmonic data
('cocoons/*', 'cocoons'), # Memory cocoons directory
]
datas.extend(core_dirs)
# Neural network and quantum state files
quantum_files = [
('quantum_states/*.npy', 'quantum_states'),
('neural_weights/*.pt', 'neural_weights'),
('dream_sequences/*.json', 'dream_sequences'),
]
datas.extend(quantum_files)
# Package metadata for core dependencies
metadata_pkgs = [
'torch', 'tqdm', 'regex', 'requests', 'packaging', 'filelock',
'numpy', 'tokenizers', 'transformers', 'scipy'
]
for pkg in metadata_pkgs:
datas.extend(copy_metadata(pkg))
a = Analysis(
['codette.py'],
pathex=[],
binaries=[],
datas=datas,
hiddenimports=[
# Core Processing
'numpy', 'scipy', 'pandas', 'xarray',
# AI and ML
'torch', 'transformers', 'sklearn', 'nltk', 'vaderSentiment',
# Quantum Processing
'qiskit', 'pymc', 'arviz', 'pytensor',
# Visualization
'matplotlib', 'networkx',
# UI and Interface
'PyQt5',
# Utilities
'tqdm', 'yaml', 'colorama', 'tokenizers', 'filelock',
# Additional Dependencies
'regex', 'requests', 'packaging', 'json', 'logging'
],
hookspath=[],
hooksconfig={},
runtime_hooks=[],
excludes=[],
noarchive=False,
optimize=0
)
pyz = PYZ(a.pure)
exe = EXE(
pyz,
a.scripts,
a.binaries,
a.zipfiles,
a.datas,
[],
name='Codette',
debug=False,
bootloader_ignore_signals=False,
strip=False,
upx=True,
upx_exclude=[],
runtime_tmpdir=None,
console=False,
disable_windowed_traceback=False,
argv_emulation=False,
target_arch=None,
codesign_identity=None,
entitlements_file=None,
)
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