156 lines
3.7 KiB
Python
156 lines
3.7 KiB
Python
import os
|
|
from pathlib import Path
|
|
|
|
from PyInstaller.utils.hooks import collect_all, copy_metadata
|
|
|
|
# Spec CLI frozen — EXE de PRODUCTION (anonymisation fichier unique sans GUI).
|
|
# Même moteur / mêmes datas que anonymisation_onefile.spec, mais :
|
|
# - entrypoint = scripts/anonymize_cli.py (CLI production, pas launcher.py)
|
|
# Contrat : Anonymisation-CLI.exe <fichier> <dossier_sortie>
|
|
# Modèle CamemBERT-bio ONNX OBLIGATOIRE (fail-closed, code 3 si absent).
|
|
# - console=True (CLI), pas de Splash
|
|
# - name = Anonymisation-CLI -> ne remplace pas dist/Anonymisation.exe
|
|
# (Le harnais perf D-19 reste scripts/anonymize_batch_cli.py, non buildé ici.)
|
|
|
|
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)
|
|
|
|
|
|
binaries = []
|
|
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)
|
|
|
|
|
|
hiddenimports = [
|
|
"anonymizer_core_refactored_onnx",
|
|
"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",
|
|
"doctr",
|
|
"doctr.io",
|
|
"doctr.models",
|
|
"doctr.models.detection",
|
|
"doctr.models.recognition",
|
|
"cv2",
|
|
"torchvision",
|
|
"edsnlp",
|
|
"edsnlp.pipes",
|
|
"edsnlp.pipes.ner",
|
|
"edsnlp.pipes.ner.pseudo",
|
|
"spacy",
|
|
"spacy.lang.fr",
|
|
"gliner",
|
|
"onnxruntime",
|
|
"transformers",
|
|
"tokenizers",
|
|
"torch",
|
|
"pdfplumber",
|
|
"fitz",
|
|
"PIL",
|
|
"yaml",
|
|
"loguru",
|
|
"regex",
|
|
"optimum",
|
|
"optimum.onnxruntime",
|
|
"optimum.pipelines",
|
|
"optimum.modeling_base",
|
|
"optimum.exporters.onnx",
|
|
]
|
|
|
|
|
|
def _collect_optional_package(package_name: str):
|
|
try:
|
|
package_datas, package_binaries, package_hiddenimports = collect_all(package_name)
|
|
datas.extend(package_datas)
|
|
binaries.extend(package_binaries)
|
|
hiddenimports.extend(package_hiddenimports)
|
|
try:
|
|
datas.extend(copy_metadata(package_name, recursive=True))
|
|
except Exception:
|
|
pass
|
|
except Exception:
|
|
pass
|
|
|
|
|
|
for _package_name in [
|
|
"edsnlp",
|
|
"spacy",
|
|
"thinc",
|
|
"blis",
|
|
"srsly",
|
|
"catalogue",
|
|
"confection",
|
|
"cymem",
|
|
"preshed",
|
|
"murmurhash",
|
|
"gliner",
|
|
"loguru",
|
|
]:
|
|
_collect_optional_package(_package_name)
|
|
|
|
|
|
a = Analysis(
|
|
[str(project_dir / "scripts" / "anonymize_cli.py")],
|
|
pathex=[str(project_dir)],
|
|
binaries=binaries,
|
|
datas=datas,
|
|
hiddenimports=hiddenimports,
|
|
cipher=block_cipher,
|
|
noarchive=False,
|
|
)
|
|
pyz = PYZ(a.pure, a.zipped_data, cipher=block_cipher)
|
|
|
|
exe = EXE(
|
|
pyz,
|
|
a.scripts,
|
|
a.binaries,
|
|
a.zipfiles,
|
|
a.datas,
|
|
[],
|
|
name="Anonymisation-CLI",
|
|
debug=False,
|
|
strip=False,
|
|
upx=False,
|
|
console=True,
|
|
)
|