Revert "add dumb mistral exemple"

This reverts commit 987a6b938f.

requirements.txt

@@ -44,5 +44,3 @@ langchain-openai
 numpy==2.2.4
 pymupdf == 1.25.5
 flask-cors==5.0.1
-mistralai==1.6.0
-

utils/parsers/passport_parser.py

@@ -1,22 +1,42 @@
-import os
-from mistralai import Mistral
-
-api_key = "XEOc110BYE4PMj8FQBauxxGZTitRTs2w"
-client = Mistral(api_key=api_key)
-
+import base64
+import io
+from tempfile import NamedTemporaryFile
+from PIL import Image, ImageEnhance
+import pytesseract
+from passporteye import read_mrz
+import json
 
 def process_passport(passport_b64: str) -> str:
-    mistral_image_url = f"data:image/png;base64,{passport_b64}"
+    """
+    Traite le passport :
+    - Décodage de l'image en base64.
+    - Application de l'OCR pour extraire le texte.
 
-    ocr_response = client.ocr.process(
-        model="mistral-ocr-latest",
-        document={
-            "type": "image_url",
-            "image_url": mistral_image_url
+    :param passport_b64: Chaîne base64 représentant l'image du passport.
+    :return: Texte extrait de l'image.
+    """
+    image_bytes = base64.b64decode(passport_b64)
+    with NamedTemporaryFile(mode="wb") as tmp_img:
+        tmp_img.write(image_bytes)
+        with open(tmp_img.name, "rb") as read_img:
+            mrz_obj = read_mrz(read_img)
+
+    image = Image.open(io.BytesIO(image_bytes))
+    enhancer = ImageEnhance.Contrast(image)
+    image = enhancer.enhance(2.0)  # 2.0 = double le contraste (1.0 = inchangé)
+    tesseract_text = pytesseract.image_to_string(image, lang='eng')
+    out_dict = {}
+    if not mrz_obj is None:
+        number_raw = str(mrz_obj.number)
+        # It's not called a 'Hack'athon for nothing...
+        number = number_raw.replace("B", "8")
+        out_dict = {
+            "country": mrz_obj.country,
+            "names": mrz_obj.names,
+            "number": number,
+            "surname": mrz_obj.surname,
+            "mrz": mrz_obj.aux["text"],
         }
-    )
-
-    # Extraire le markdown de toutes les pages
-    markdown_text = "\n\n".join(page.markdown for page in ocr_response.pages)
-
-    return markdown_text  # Tu peux aussi retourner juste le chemin si tu préfères
+    out_dict["raw"] = tesseract_text
+    out = json.dumps(out_dict)
+    return out