From 4b7c8db9a83152a5cf07584ed526e3b166af8e4f Mon Sep 17 00:00:00 2001
From: Domi31tls <dbazin52@gmail.com>
Date: Mon, 22 Jun 2026 16:49:03 +0200
Subject: [PATCH] =?UTF-8?q?build:=20retirer=20torch/docTR=20du=20frozen=20?=
 =?UTF-8?q?+=20hiddenimports=20OnnxTR=20(pr=C3=A9-audit=20Qwen=20GO)?=
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Suite à la migration OCR docTR→OnnxTR (8d683bc) et au verdict pré-audit Qwen
(GO technique, 2026-06-21), préparation des 3 specs PyInstaller pour le prochain
rebuild Windows :

- Retrait de "torch", "torchvision", "doctr.*" des hiddenimports des 3 specs
  (anonymisation_onefile, _cli_onefile, _gui_v6_onefile) → -~2 Go EXE attendu,
  suppression définitive de la classe de bug oneDNN sur CPU contraint.
- Ajout des hiddenimports transitifs OnnxTR manquants (réserve R1 Qwen) :
  "pyclipper", "scipy.cluster.hierarchy", "scipy.special" → anti-omission
  PyInstaller (évite un crash OCR en frozen).
- Retrait de python-doctr[torch]>=0.9.0 de requirements.txt (transitoire levé).

_configure_torch_threads() conservé en code (lazy import torch sous try/except,
no-op si torch absent) pour future réactivation EDS-Pseudo/GLiNER.

Aucun rebuild ni diffusion (gate Dom). 3 specs compilent (py_compile).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
---
 anonymisation_cli_onefile.spec    | 13 +++++--------
 anonymisation_gui_v6_onefile.spec | 13 +++++--------
 anonymisation_onefile.spec        | 13 +++++--------
 requirements.txt                  |  3 +--
 4 files changed, 16 insertions(+), 26 deletions(-)

diff --git a/anonymisation_cli_onefile.spec b/anonymisation_cli_onefile.spec
index 5fcfad1..2e2a4e1 100644
--- a/anonymisation_cli_onefile.spec
+++ b/anonymisation_cli_onefile.spec
@@ -85,12 +85,7 @@ hiddenimports = [
     "gliner_manager",
     "vlm_manager",
     "build_info",
-    "doctr",
-    "doctr.io",
-    "doctr.models",
-    "doctr.models.detection",
-    "doctr.models.recognition",
-    # OCR OnnxTR (remplace docTR — ONNX Runtime, sans torch)
+    # OCR OnnxTR (ONNX Runtime, remplace docTR — sans torch ni doctr)
     "onnxtr",
     "onnxtr.io",
     "onnxtr.models",
@@ -98,8 +93,11 @@ hiddenimports = [
     "onnxtr.models.recognition",
     "onnxtr.utils",
     "onnxtr.utils.data",
+    # Dépendances transitives OnnxTR (hiddenimports défensifs vs omission PyInstaller)
+    "pyclipper",
+    "scipy.cluster.hierarchy",
+    "scipy.special",
     "cv2",
-    "torchvision",
     "edsnlp",
     "edsnlp.pipes",
     "edsnlp.pipes.ner",
@@ -110,7 +108,6 @@ hiddenimports = [
     "onnxruntime",
     "transformers",
     "tokenizers",
-    "torch",
     "pdfplumber",
     "fitz",
     "PIL",
diff --git a/anonymisation_gui_v6_onefile.spec b/anonymisation_gui_v6_onefile.spec
index d0a9fe3..894a64d 100644
--- a/anonymisation_gui_v6_onefile.spec
+++ b/anonymisation_gui_v6_onefile.spec
@@ -104,12 +104,7 @@ hiddenimports = [
     "gliner_manager",
     "vlm_manager",
     "build_info",
-    "doctr",
-    "doctr.io",
-    "doctr.models",
-    "doctr.models.detection",
-    "doctr.models.recognition",
-    # OCR OnnxTR (remplace docTR — ONNX Runtime, sans torch)
+    # OCR OnnxTR (ONNX Runtime, remplace docTR — sans torch ni doctr)
     "onnxtr",
     "onnxtr.io",
     "onnxtr.models",
@@ -117,8 +112,11 @@ hiddenimports = [
     "onnxtr.models.recognition",
     "onnxtr.utils",
     "onnxtr.utils.data",
+    # Dépendances transitives OnnxTR (hiddenimports défensifs vs omission PyInstaller)
+    "pyclipper",
+    "scipy.cluster.hierarchy",
+    "scipy.special",
     "cv2",
-    "torchvision",
     "edsnlp",
     "edsnlp.pipes",
     "edsnlp.pipes.ner",
@@ -129,7 +127,6 @@ hiddenimports = [
     "onnxruntime",
     "transformers",
     "tokenizers",
-    "torch",
     "pdfplumber",
     "fitz",
     "PIL",
diff --git a/anonymisation_onefile.spec b/anonymisation_onefile.spec
index 83339ea..7778ea4 100644
--- a/anonymisation_onefile.spec
+++ b/anonymisation_onefile.spec
@@ -76,12 +76,7 @@ hiddenimports = [
     "gliner_manager",
     "vlm_manager",
     "build_info",
-    "doctr",
-    "doctr.io",
-    "doctr.models",
-    "doctr.models.detection",
-    "doctr.models.recognition",
-    # OCR OnnxTR (remplace docTR — ONNX Runtime, sans torch)
+    # OCR OnnxTR (ONNX Runtime, remplace docTR — sans torch ni doctr)
     "onnxtr",
     "onnxtr.io",
     "onnxtr.models",
@@ -89,8 +84,11 @@ hiddenimports = [
     "onnxtr.models.recognition",
     "onnxtr.utils",
     "onnxtr.utils.data",
+    # Dépendances transitives OnnxTR (hiddenimports défensifs vs omission PyInstaller)
+    "pyclipper",
+    "scipy.cluster.hierarchy",
+    "scipy.special",
     "cv2",
-    "torchvision",
     "edsnlp",
     "edsnlp.pipes",
     "edsnlp.pipes.ner",
@@ -101,7 +99,6 @@ hiddenimports = [
     "onnxruntime",
     "transformers",
     "tokenizers",
-    "torch",
     "pdfplumber",
     "fitz",
     "PIL",
diff --git a/requirements.txt b/requirements.txt
index 83dab2b..8775a32 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -21,9 +21,8 @@ pyahocorasick>=2.1.0,<3
 # --- OCR pour PDF scannés ---
 # OnnxTR = mêmes modèles docTR (db_resnet50 + crnn_vgg16_bn) sur ONNX Runtime, SANS torch.
 # Remplace docTR pour l'OCR (supprime le crash torch/oneDNN sur CPU contraint).
+# docTR/torch retirés du build frozen (verdict pré-audit Qwen 2026-06-21, GO Dom) : -~2 Go EXE.
 onnxtr[cpu]>=0.8.1
-# python-doctr conservé en transitoire (retrait avec torch = étape séparée) :
-python-doctr[torch]>=0.9.0
 
 # (optionnel – NER clinique EDS-Pseudo AP-HP, activer manuellement)
 # edsnlp[ml]>=0.12.0