Add OCR profile conservant sémantic word.

This commit is contained in:
robinrolle
2025-04-11 23:42:48 +02:00
parent dd4f8b2425
commit d64bf40d46

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@ -4,7 +4,7 @@ import base64
from PIL import Image
import pytesseract
import io
import re
import xml.etree.ElementTree as ET
from pathlib import Path
# === Configuration API ===
@ -12,7 +12,6 @@ api_url = "https://hackathon-api.mlo.sehlat.io/game/start"
api_key = "OwogAztgWRdPfT2wWe7Xevdw98tdJelatlk82K6bozw"
team_name = "Welch"
# === Requête API ===
headers = {
"x-api-key": api_key,
"Content-Type": "application/json"
@ -33,21 +32,56 @@ extracted_text = pytesseract.image_to_string(image, lang='eng')
print("=== Texte extrait depuis le passeport ===\n")
print(extracted_text)
# === Traitement du profil ===
# === Traitement du profil DOCX ===
profile_b64 = response_data["client_data"]["profile"]
profile_bytes = base64.b64decode(profile_b64)
zip_file = zipfile.ZipFile(io.BytesIO(profile_bytes))
# Vérifie la présence du fichier principal du Word
document_path = "word/document.xml"
styles_path = "word/styles.xml"
# Charger la carte des styles pour retrouver les titres
style_map = {}
if styles_path in zip_file.namelist():
styles_xml = zip_file.read(styles_path)
styles_tree = ET.fromstring(styles_xml)
ns = {"w": "http://schemas.openxmlformats.org/wordprocessingml/2006/main"}
for style in styles_tree.findall(".//w:style", ns):
style_id = style.attrib.get(f"{{{ns['w']}}}styleId")
name_elem = style.find("w:name", ns)
if name_elem is not None:
style_name = name_elem.attrib.get(f"{{{ns['w']}}}val", "")
style_map[style_id] = style_name
# Parse du document principal
if document_path in zip_file.namelist():
with zip_file.open(document_path) as doc_file:
xml_content = doc_file.read().decode("utf-8", errors="ignore")
document_xml = zip_file.read(document_path)
tree = ET.fromstring(document_xml)
# Extraction naïve du texte (on peut améliorer avec XML parser si besoin)
text_only = re.sub(r"<[^>]+>", "", xml_content)
ns = {"w": "http://schemas.openxmlformats.org/wordprocessingml/2006/main"}
print("\n=== Texte structuré extrait depuis le profil ===\n")
print("\n=== Texte extrait depuis le profil (document Word) ===\n")
print(text_only.strip())
for para in tree.findall(".//w:p", ns):
texts = [node.text for node in para.findall(".//w:t", ns) if node.text]
if not texts:
continue
full_text = " ".join(texts).strip()
# Détecter le style (Heading1, Heading2, etc.)
p_style = para.find(".//w:pStyle", ns)
if p_style is not None:
style_id = p_style.attrib.get(f"{{{ns['w']}}}val")
style_name = style_map.get(style_id, "")
if "Heading1" in style_name:
print(f"\n# {full_text}\n")
elif "Heading2" in style_name:
print(f"\n## {full_text}\n")
elif "Heading3" in style_name:
print(f"\n### {full_text}\n")
else:
print("Le fichier 'word/document.xml' est introuvable dans l'archive du profil.")
print(full_text)
else:
print(full_text)
else:
print("Le fichier 'word/document.xml' est introuvable dans le profil.")