Files
anonymisation/anonymisation_gui_v6_onefile.spec
Domi31tls 5f05ba0fb8 feat(build): version release résolue au build avec repli dev (P1-7)
Crée gui_v6/version.py (DEFAULT_VERSION + resolve_version()) qui tente
d'importer gui_v6._build_version (généré au build Windows, non commité).
Câble gui_v6.__version__ sur resolve_version(). Ajoute gui_v6/_build_version.py
au .gitignore et aux hiddenimports du spec PyInstaller. 4 tests TDD.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-07-02 11:02:57 +02:00

183 lines
4.6 KiB
Python

# PyInstaller spec — GUI V6 (build-prep G3-D).
#
# Produit `Anonymisation.exe` (V6), source de l'installateur Inno
# `installer/Anonymisation.iss` qui génère la cible finale `Anonymisation-Setup.exe`.
#
# Entrée directe : Pseudonymisation_Gui_V6.py (expose main() + --self-test).
# Ne construit AUCUN artefact ici : la génération réelle se fait sur Windows.
import os
from pathlib import Path
block_cipher = None
project_dir = Path(globals().get("SPECPATH", os.getcwd())).resolve()
def _data_entry(relative_path: str, target_dir: str | None = None):
src = project_dir / relative_path
if not src.exists():
return None
return (str(src), target_dir or relative_path)
datas = []
for relative_path, target_dir in [
("config", "config"),
("data/bdpm", "data/bdpm"),
("data/finess", "data/finess"),
("data/insee", "data/insee"),
("models/camembert-bio-deid/onnx", "models/camembert-bio-deid/onnx"),
("detectors", "detectors"),
("scripts", "scripts"),
("assets", "assets"),
]:
entry = _data_entry(relative_path, target_dir)
if entry is not None:
datas.append(entry)
for relative_path in [
"data/stopwords_manuels.txt",
"data/villes_blacklist.txt",
"data/dpi_labels_blacklist.txt",
"data/companion_blacklist.txt",
]:
entry = _data_entry(relative_path, "data")
if entry is not None:
datas.append(entry)
onnxtr_cache_dir = Path(os.environ.get("ONNXTR_CACHE_DIR", Path.home() / ".cache" / "onnxtr"))
required_onnxtr_weights = [
"db_resnet50-69ba0015.onnx",
"crnn_vgg16_bn-743599aa.onnx",
]
missing_onnxtr_weights = []
for filename in required_onnxtr_weights:
src = onnxtr_cache_dir / "models" / filename
if src.exists():
datas.append((str(src), "models/onnxtr/models"))
else:
missing_onnxtr_weights.append(str(src))
if missing_onnxtr_weights:
raise FileNotFoundError(
"Poids OCR OnnxTR manquants pour le build frozen : "
+ ", ".join(missing_onnxtr_weights)
+ ". Précharger OnnxTR (lancer une OCR une fois) ou définir ONNXTR_CACHE_DIR avant PyInstaller."
)
hiddenimports = [
# Entrée + package GUI V6
"Pseudonymisation_Gui_V6",
"gui_v6",
"gui_v6.app",
"gui_v6.theme",
"gui_v6.license_client",
"gui_v6.license_store",
"gui_v6.machine_id",
"gui_v6.engine_bridge",
"gui_v6.config_state",
"gui_v6.version",
"gui_v6._build_version",
"gui_v6.processing_runner",
"gui_v6.tabs",
"gui_v6.tabs.tab_about",
"gui_v6.tabs.tab_config",
"gui_v6.tabs.tab_usage",
# UI customtkinter
"customtkinter",
"darkdetect",
# Réseau licence
"requests",
# Moteur + modules support (inchangés vs V5)
"anonymizer_core_refactored_onnx",
"admin_mode",
"admin_rules",
"config_defaults",
"profile_defaults",
"gui_batch_paths",
"manual_masking",
"pdf_mask_designer",
"format_converter",
"ner_manager_onnx",
"camembert_ner_manager",
"eds_pseudo_manager",
"gliner_manager",
"vlm_manager",
"build_info",
# OCR OnnxTR (ONNX Runtime, remplace docTR — sans torch ni doctr)
"onnxtr",
"onnxtr.io",
"onnxtr.models",
"onnxtr.models.detection",
"onnxtr.models.recognition",
"onnxtr.utils",
"onnxtr.utils.data",
# Dépendances transitives OnnxTR (hiddenimports défensifs vs omission PyInstaller)
"pyclipper",
"scipy.cluster.hierarchy",
"scipy.special",
"cv2",
"edsnlp",
"edsnlp.pipes",
"edsnlp.pipes.ner",
"edsnlp.pipes.ner.pseudo",
"spacy",
"spacy.lang.fr",
"gliner",
"onnxruntime",
"transformers",
"tokenizers",
"pdfplumber",
"fitz",
"PIL",
"yaml",
"loguru",
"regex",
"optimum",
"optimum.onnxruntime",
"optimum.pipelines",
"optimum.modeling_base",
"optimum.exporters.onnx",
]
a = Analysis(
[str(project_dir / "Pseudonymisation_Gui_V6.py")],
pathex=[str(project_dir)],
datas=datas,
hiddenimports=hiddenimports,
cipher=block_cipher,
noarchive=False,
)
pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher)
splash = Splash(
str(project_dir / "assets" / "splash.png"),
binaries=a.binaries,
datas=a.datas,
text_pos=(60, 195),
text_size=10,
text_color="white",
minify_script=True,
always_on_top=False,
)
exe = EXE(
pyz,
a.scripts,
splash,
splash.binaries,
a.binaries,
a.zipfiles,
a.datas,
[],
name="Anonymisation",
debug=False,
strip=False,
upx=False,
console=False,
icon=str(project_dir / "assets" / "icons" / "app.ico"),
)