Version takes all pages of section : problem !

.gitignore

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+# Image
+graph_workflow.png
+
+# Dossiers de données / projets
+01 - Sources/
+02 - Inputs/
+03 - Outputs/
+
+# VSCode
+.vscode/
+
+# Python cache
+__pycache__/
+*.pyc

04 - Scripts/.env

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+Project_final/.env 
+LANGFUSE_SECRET_KEY="sk-lf-da8a0214-de29-43e0-9c53-f85f8371a37f"
+LANGFUSE_PUBLIC_KEY="pk-lf-f07364b3-d0a6-4252-8d65-447500b27cb7"
+LANGFUSE_BASE_URL="https://cloud.langfuse.com"
+
+
+SERPER_API_KEY="5d34667463124d3a83b2b04987a3d80bb1dd3d00"
+GOOGLE_API_KEY="AIzaSyAdLpi0Z6Vh9wxjXY3qrdTKOJ7OvBRC4ZQ"
+GROQ_API_KEY ="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"
+OPENAI_API_KEY="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"
+MISTRAL_API_KEY="LrPwFxTOrrhORneWamW4VNP4UA0k7jPN"
+
+OPENROUTER_API_KEY="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"

04 - Scripts/Agents.py

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+import os 
+from typing import Annotated , Sequence , TypedDict , Optional , List , Any
+from langchain_core.messages import BaseMessage, HumanMessage, SystemMessage
+from langgraph.graph.message import add_messages
+from dotenv import load_dotenv  
+from langchain_openai import ChatOpenAI 
+from langchain_groq import ChatGroq 
+import pandas as pd
+from langfuse import get_client
+import json
+
+from tools import  excel_code_interpreter
+
+from paddleocr import PaddleOCR
+
+from function import (
+    preparer_image_zoom_hd, 
+    extraire_donnees_ocr, 
+    nettoyage_sortie_ocr, 
+    formater_donnees_section,
+    sauvegarder_fichier_unique,
+    to_points , 
+    build_lines,
+    cluster_lines , 
+    merge_close_lines
+
+)
+
+from clean_DBSCAN import (
+    transform_to_clean_markdown
+)
+
+
+
+load_dotenv() 
+
+
+tools = [excel_code_interpreter]
+
+
+class AgentState(TypedDict) : 
+    messages : Annotated[Sequence[BaseMessage],add_messages]
+    pdf_path : str 
+    pages : List[int]
+    entreprise_name : str 
+    section_name : str
+    markdown : str
+
+
+model_llama = ChatGroq(model="llama-3.3-70b-versatile") 
+
+model_openai = ChatOpenAI(model="gpt-4.1" , temperature=0.2) 
+
+model_ai = model_llama.bind_tools(tools)
+
+ocr = PaddleOCR(use_angle_cls=True, lang='fr', det_limit_side_len=10000, show_log=False)
+
+
+
+def agent_ocr(state: AgentState):
+    pdf_path = state.get("pdf_path")
+    pages = state.get("pages")
+
+    
+
+    texte_accumule = []
+    all_points = []
+
+    for page_index in pages:
+
+        page_index = page_index -1
+        
+        try:
+            img_finale = preparer_image_zoom_hd(pdf_path, page_index)
+            raw_data = extraire_donnees_ocr(img_finale, ocr)
+
+            data_propre = nettoyage_sortie_ocr(raw_data)
+
+            # 🔥 garder structure brute
+            points = to_points(data_propre)
+            all_points.extend(points)
+
+            # debug texte
+            lignes_page = formater_donnees_section(data_propre, page_index)
+            texte_accumule.extend(lignes_page)
+
+            print(f"✅ Page {page_index + 1} traitée.")
+
+        except Exception as e:
+            print(f"❌ Erreur Page {page_index + 1}: {e}")
+
+    # 🔥 DBSCAN GLOBAL (beaucoup plus robuste)
+    clusters = cluster_lines(all_points, eps=0.5)
+    lignes = build_lines(clusters)
+    lignes = merge_close_lines(lignes)
+
+    # 🔥 TEXTE pour LLM
+    contenu_final = "\n".join(texte_accumule)
+
+    message_ocr = HumanMessage(
+        content=f"Voici les données OCR brutes :\n{contenu_final}"
+    )
+  
+    markdown = transform_to_clean_markdown(lignes)
+    
+    
+
+    return {
+        "messages": [message_ocr],
+        "lignes" : lignes,
+        "markdown": markdown 
+    } 
+
+
+
+
+def agent_extracteur(state:AgentState) : 
+
+    prompt = """
+    Tu es un extracteur de tableaux QRT (Solvabilité II).
+
+    Ton but est de transcrire les coordonnées spatiales OCR en une hiérarchie logique de données.
+
+    Objectif : convertir le tableau en JSON sans perte d’information.
+
+    Règles :
+    - Utilise Rxxxx (lignes) et Cxxxx (colonnes) comme clés.
+    - Copie STRICTEMENT les valeurs, sans calcul ni modification.
+    - Supprime uniquement les espaces dans les nombres :
+    "3 297 388" → 3297388
+    - Ne tronque pas, n’arrondis pas, garde toute la précision.
+    - Garde les 0.
+    - Si pas de libellé pour un Rxxxx → "".
+    - Optimise la structure (par lignes ou colonnes) pour réduire la taille.
+
+    ⚠️ CONTRAINTE DE SORTIE (OBLIGATOIRE) :
+    - Réponds UNIQUEMENT avec un objet JSON valide
+    - NE PAS ajouter de texte avant ou après
+    - NE PAS utiliser ```json ou ```
+    - NE PAS commenter
+    - NE PAS expliquer
+
+    Sortie attendue (exemple strict) :
+    {
+    "labels": { "Rxxxx": "Rxxxx" },
+    "data": {
+        "Cxxxx": { "Rxxxx": 123456 }
+    }
+    }
+    """
+
+    msg = [
+    SystemMessage(content=prompt),
+    HumanMessage(content=json.dumps(state["markdown"]))
+     ]
+
+    response = model_llama.invoke(msg)
+
+    return{"messages" : [response]}
+
+
+
+
+
+def agent_builder(state: AgentState):
+    """
+    Agent Builder (Version non-IA) : 
+    Prend le JSON de l'extracteur et génère physiquement le fichier Excel.
+    """
+    print(f"🏗️ Construction du fichier Excel pour : {state['entreprise_name']}...")
+
+    try:
+        # 1. Récupération du JSON depuis le dernier message de l'extracteur
+        # On suppose que l'extracteur a renvoyé un dictionnaire ou une string JSON
+        import json
+        last_message_content = state["messages"][-1].content
+        
+        # Nettoyage si le LLM a mis des balises ```json
+        if "```json" in last_message_content:
+            last_message_content = last_message_content.split("```json")[1].split("```")[0].strip()
+        
+        payload = json.loads(last_message_content)
+        
+        labels = payload.get("labels", {})
+        data_json = payload.get("data", {})
+
+        # 2. Préparation de la structure du dossier
+        folder = state['entreprise_name'].replace(" ", "_")
+        if not os.path.exists(folder):
+            os.makedirs(folder)
+        
+        output_file = os.path.join(folder, f"Rapport_{state['section_name']}.xlsx")
+
+        # 3. Construction du DataFrame
+        # On récupère toutes les colonnes et toutes les lignes uniques
+        all_rows = list(labels.keys())
+        all_cols = list(data_json.keys())
+
+        # Création d'une matrice vide remplie de NaN
+        df = pd.DataFrame(index=all_rows, columns=all_cols)
+
+        # Remplissage des données
+        for col, row_values in data_json.items():
+            for row, val in row_values.items():
+                df.at[row, col] = val
+
+        # 4. Ajout de la colonne Libellé au début
+        #df.insert(0, "Libellé", df.index.map(labels))
+
+        # 5. Exportation avec formatage pro via XlsxWriter
+        with pd.ExcelWriter(output_file, engine="xlsxwriter") as writer:
+            df.to_excel(writer, sheet_name="QRT_Export", index=True)
+            
+            workbook  = writer.book
+            worksheet = writer.sheets["QRT_Export"]
+
+            # --- Ajout de formats ---
+            header_fmt = workbook.add_format({'bold': True, 'bg_color': '#1F3864', 'font_color': 'white', 'border': 1})
+            num_fmt    = workbook.add_format({'num_format': '#,##0', 'border': 1})
+            label_fmt  = workbook.add_format({'bg_color': '#D6E4F0', 'border': 1})
+
+            # Appliquer les formats aux colonnes
+            worksheet.set_column(1, 1, 60) # Libellé
+            worksheet.set_column(0, 0, 15) # Code R
+            
+            worksheet.set_column(2, len(df.columns)+1, 18, num_fmt) # Valeurs
+
+        success_msg = f"✓ Fichier Excel généré : {output_file} ({len(df)} lignes x {len(all_cols)} colonnes)"
+        return {"messages": [HumanMessage(content=success_msg)]}
+
+    except Exception as e:
+        error_msg = f"❌ Erreur lors de la construction Excel : {str(e)}"
+        print(error_msg)
+        return {"messages": [HumanMessage(content=error_msg)]}

04 - Scripts/clean_DBSCAN.py

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+
+import json
+
+
+def get_closest_col(x, current_cols):
+    """Trouve la colonne dont l'X est le plus proche de la valeur."""
+    return min(current_cols, key=lambda c: abs(x - c[0]))
+
+def transform_to_clean_markdown(data):
+    current_cols = [] 
+    output_lines = []
+    
+    for entry in data:
+        points = entry.get("points", [])
+        if not points: 
+            continue
+        
+        # 1. Détection et formatage des En-têtes (Cxxxx)
+        headers_in_row = [(p[0], p[2]) for p in points if str(p[2]).startswith('C')]
+        
+        if headers_in_row:
+            # On ajoute un séparateur si un tableau existait déjà avant
+            if output_lines:
+                output_lines.append("\n---\n")
+                
+            current_cols = headers_in_row
+            col_names = [c[1] for c in current_cols]
+            # Header propre sans coordonnées
+            output_lines.append(f"| Code | {' | '.join(col_names)} |")
+            output_lines.append(f"| :--- | {' | '.join([':---'] * len(col_names))} |")
+            continue
+
+        # 2. Détection et alignement des Données (Rxxxx)
+        row_label_pt = next((p for p in points if str(p[2]).startswith('R')), None)
+        
+        if row_label_pt and current_cols:
+            row_label = row_label_pt[2]
+            # Initialisation de la ligne avec des "0"
+            row_dict = {c[1]: "0" for c in current_cols}
+            
+            for p in points:
+                x_val, _, text = p
+                if text == row_label: 
+                    continue
+                
+                # Placement précis via coordonnée X
+                best_col = get_closest_col(x_val, current_cols)
+                row_dict[best_col[1]] = str(text).strip()
+            
+            # Construction de la ligne finale
+            ordered_values = [row_dict[c[1]] for c in current_cols]
+            output_lines.append(f"| **{row_label}** | {' | '.join(ordered_values)} |")
+            
+        # Note : On ignore volontairement le bloc "else" (INFO) pour nettoyer le bruit
+            
+    return "\n".join(output_lines)
+
+#print(transform_to_clean_markdown(json))

04 - Scripts/function.py

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+# utils.py
+import fitz
+import cv2
+import numpy as np
+import re
+
+def redresser_image_auto(img_array):
+    gray = cv2.cvtColor(img_array, cv2.COLOR_RGB2GRAY)
+    binary = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY_INV, 15, 4)
+    h, w = binary.shape
+    kh = cv2.getStructuringElement(cv2.MORPH_RECT, (w // 10, 1))
+    kv = cv2.getStructuringElement(cv2.MORPH_RECT, (1, h // 10))
+    score_h = cv2.countNonZero(cv2.morphologyEx(binary, cv2.MORPH_OPEN, kh))
+    score_v = cv2.countNonZero(cv2.morphologyEx(binary, cv2.MORPH_OPEN, kv))
+    if (score_v / 1.5) > (score_h * 1.3):
+        return cv2.rotate(img_array, cv2.ROTATE_90_COUNTERCLOCKWISE)
+    return img_array
+
+def obtenir_zone_tableau_total(img_array):
+    gray = cv2.cvtColor(img_array, cv2.COLOR_RGB2GRAY)
+    blurred = cv2.GaussianBlur(gray, (5, 5), 0)
+    binary = cv2.adaptiveThreshold(blurred, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY_INV, 15, 4)
+    h, w = binary.shape
+    kernel = cv2.getStructuringElement(cv2.MORPH_RECT, (20, 5))
+    dilated = cv2.dilate(binary, kernel, iterations=3)
+    contours, _ = cv2.findContours(dilated, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
+    if not contours: return 0, h
+    y_points = []
+    for c in contours:
+        x, y, w_c, h_c = cv2.boundingRect(c)
+        if h_c > 10:
+            y_points.append(y); y_points.append(y + h_c)
+    if not y_points: return 0, h
+    return max(0, min(y_points) - 100), min(h, max(y_points) + 100)
+
+def preparer_image_zoom_hd(pdf_path, page_index):
+    """Gère le double passage pour extraire une image HD cadrée."""
+    doc = fitz.open(pdf_path)
+    page = doc.load_page(page_index)
+
+    print("page fitz",page)
+    
+    # 1. Localisation basse résolution
+    pix_low = page.get_pixmap(matrix=fitz.Matrix(1, 1))
+    img_low = np.frombuffer(pix_low.samples, dtype=np.uint8).reshape(pix_low.h, pix_low.w, 3)
+    img_low = redresser_image_auto(img_low)
+    y_min, y_max = obtenir_zone_tableau_total(img_low)
+    
+    # 2. Calcul du recadrage
+    h_low = img_low.shape[0]
+    y_start_pct = y_min / h_low
+    y_end_pct = y_max / h_low
+    
+    full_rect = page.rect
+    crop_rect = fitz.Rect(full_rect.x0, full_rect.y0 + (full_rect.height * y_start_pct),
+                          full_rect.x1, full_rect.y0 + (full_rect.height * y_end_pct))
+    
+    # 3. Rendu Haute Résolution (x4)
+    pix_high = page.get_pixmap(matrix=fitz.Matrix(4, 4), clip=crop_rect, colorspace=fitz.csRGB)
+    img_finale = np.frombuffer(pix_high.samples, dtype=np.uint8).reshape(pix_high.h, pix_high.w, 3)
+    img_finale = redresser_image_auto(img_finale)
+    
+    doc.close()
+    return img_finale
+
+def extraire_donnees_ocr(img, ocr_model):
+    """Lance l'OCR et structure les résultats par coordonnées."""
+    h_f, w_f = img.shape[:2]
+    result = ocr_model.ocr(img, cls=True)
+    extracted = []
+    if result and result[0]:
+        for line in result[0]:
+            box, (text, conf) = line[0], line[1]
+
+            if len(re.sub(r'[^a-zA-Z]', '', text)) > 2:
+             continue
+
+
+            if conf >= 0.6:
+                x_c, y_c = sum(p[0] for p in box) / 4, sum(p[1] for p in box) / 4
+                extracted.append({
+                    "text": text, 
+                    "x_pct": round(x_c / w_f * 100, 1),
+                    "y_pct": round(y_c / h_f * 100, 1), 
+                    "y_c": y_c,
+                      "x_c": x_c
+                })
+    extracted.sort(key=lambda r: (r["y_c"], r["x_c"]))
+    return extracted
+
+
+
+
+def nettoyer_texte_ocr(text):
+    if not text:
+        return ""
+
+    text = str(text)
+
+    # supprimer artefacts OCR fréquents
+    text = text.replace("]", "").replace("[", "").replace("/", "")
+
+    # corriger O → 0 uniquement si texte numérique
+    if re.match(r'^[\d\sO]+$', text):
+        text = text.replace("O", "0")
+
+    # corriger erreurs classiques R/RO
+    text = text.replace("RO", "R0")
+
+    # espaces propres
+    text = re.sub(r"\s+", " ", text)
+
+    return text.strip()
+
+def nettoyage_sortie_ocr(data):
+    """
+    Nettoie les données OCR pour DBSCAN :
+    - supprime lignes vides
+    - supprime artefacts inutiles
+    - garde textes utiles (mots, codes R/C, nombres)
+    """
+
+    cleaned = []
+
+    for r in data:
+        text = nettoyer_texte_ocr(r.get("text", ""))
+
+        # ❌ ignorer lignes totalement vides
+        if not text:
+            continue
+
+        # ❌ ignorer bruit pur (ex: "---", "...")
+        if re.match(r"^[\W_]+$", text):
+            continue
+
+        # ❌ ignorer "0" isolé (souvent bruit OCR)
+        if text == "0":
+            continue
+
+        # garder seulement si:
+        # - contient du texte utile OU
+        # - contient chiffre OU
+        if not re.search(r"[A-Za-z0-9]", text):
+            continue
+
+        cleaned.append({
+            "x_pct": float(r["x_pct"]),
+            "y_pct": float(r["y_pct"]),
+            "text": text
+        })
+
+    return cleaned
+
+def formater_donnees_section(data_page, page_index):
+    """
+    Format lisible + prêt à parser
+    """
+
+    lignes = [f"\n--- DONNÉES PAGE {page_index + 1} ---"]
+
+    for r in data_page:
+        x = float(r["x_pct"])
+        y = float(r["y_pct"])
+        text = r["text"]
+
+        lignes.append(f"x={x:.1f}% | y={y:.1f}% | {text}")
+
+    return lignes
+
+def to_points(data):
+    """
+    Convertit directement en format DBSCAN :
+    (x, y, text)
+    """
+    return [(r["x_pct"], r["y_pct"], r["text"]) for r in data]
+
+
+
+def sauvegarder_fichier_unique(contenu_total, pdf_path, section_name):
+    """Sauvegarde toutes les pages accumulées dans un seul fichier."""
+    # Nettoyage du nom de fichier
+    nom_propre = pdf_path.replace('.pdf', '').replace(' ', '_')
+    filename = f"{nom_propre}_{section_name}_complet.txt"
+    
+    with open(filename, "w", encoding="utf-8") as f:
+        f.write("\n".join(contenu_total))
+    
+    return filename
+
+
+
+########## DBSCAN 
+import numpy as np
+
+def prepare_for_dbscan(points):
+    """
+    points = [[x, y, text], ...]
+    """
+    coords = np.array([[p[1]] for p in points])  # 🔥 uniquement Y
+    return coords
+
+from sklearn.cluster import DBSCAN
+
+def cluster_lines(points, eps=0.4, min_samples=2):
+    coords = prepare_for_dbscan(points)
+
+    db = DBSCAN(eps=eps, min_samples=min_samples)
+    labels = db.fit_predict(coords)
+
+    clusters = {}
+    for label, point in zip(labels, points):
+        if label == -1:
+            continue  # bruit
+        clusters.setdefault(label, []).append(point)
+
+    return list(clusters.values())
+
+def build_lines(clusters):
+    lignes = []
+
+    for cluster in clusters:
+        # tri gauche → droite
+        cluster_sorted = sorted(cluster, key=lambda p: p[0])
+
+        texte = " ".join([p[2] for p in cluster_sorted])
+
+        lignes.append({
+            "y": np.mean([p[1] for p in cluster]),
+            "text": texte,
+            "points": cluster_sorted
+        })
+
+    # tri haut → bas
+    lignes = sorted(lignes, key=lambda l: l["y"])
+
+    return lignes
+
+
+def merge_close_lines(lignes, threshold=0.6):
+    merged = []
+    prev = None
+
+    for line in lignes:
+        if prev is None:
+            prev = line
+            continue
+
+        if abs(line["y"] - prev["y"]) < threshold:
+            prev["text"] += " " + line["text"]
+        else:
+            merged.append(prev)
+            prev = line
+
+    if prev:
+        merged.append(prev)
+
+    return merged
+
+
+def split_tables(points, eps_y=2.0):
+    """
+    Sépare les tableaux par distance verticale (Y)
+    """
+    import numpy as np
+    from sklearn.cluster import DBSCAN
+
+    y_coords = np.array([[p[1]] for p in points])  # فقط Y
+
+    clustering = DBSCAN(eps=eps_y, min_samples=5).fit(y_coords)
+
+    tables = {}
+    for label, point in zip(clustering.labels_, points):
+        if label == -1:
+            continue
+        tables.setdefault(label, []).append(point)
+
+    return list(tables.values())

04 - Scripts/function_exctract.py

@@ -0,0 +1,89 @@
+import pandas as pd 
+import os
+import glob
+
+def extract_pdf_path(filename):
+    name_without_ext = filename.replace(".pdf", "")
+    parts = name_without_ext.rsplit("_", 1)
+    entreprise_name = parts[0]
+    année_extraction = parts[1]
+
+    # Chemin basé sur l'emplacement du fichier, pas le dossier courant
+    script_dir = os.path.dirname(os.path.abspath(__file__))
+    folder_abs = os.path.join(script_dir, "..", "01 - Sources", année_extraction)
+    folder_abs = os.path.abspath(folder_abs)
+
+    #print(f"CHEMIN : {folder_abs}")
+    #print(f"EXISTE : {os.path.exists(folder_abs)}")
+    #print(f"CONTENU : {os.listdir(folder_abs) if os.path.exists(folder_abs) else 'DOSSIER INTROUVABLE'}")
+
+    all_pdfs = glob.glob(os.path.join(folder_abs, "*.pdf"))
+
+    entreprise_lower = entreprise_name.strip().lower()
+    matches = [
+        p for p in all_pdfs
+        if os.path.basename(p).lower().startswith(entreprise_lower)
+    ]
+
+    if matches:
+        return matches[0]
+    else:
+        raise FileNotFoundError(
+            f"Aucun PDF trouvé pour '{entreprise_name}' en {année_extraction}\n"
+            f"PDFs disponibles :\n" +
+            "\n".join([os.path.basename(p) for p in all_pdfs])
+        )
+
+
+   
+
+def extract_pages(filename):
+    # Extrait entreprise_name et année depuis le nom du fichier
+    name_without_ext = filename.replace(".pdf", "")
+    parts = name_without_ext.rsplit("_", 1)
+    entreprise_name = parts[0]
+    année_extraction = int(parts[1])
+
+    # Chemin basé sur l'emplacement du fichier
+    script_dir = os.path.dirname(os.path.abspath(__file__))
+    excel_path = os.path.abspath(os.path.join(script_dir, "..", "02 - Inputs", "_QRTs_paramétrages_Abd.xlsx"))
+
+    # Lecture du fichier Excel
+    df = pd.read_excel(excel_path, sheet_name="Liste SFCR", header=3)
+    df.columns = [str(col).strip() for col in df.columns]
+
+    # Trouve la colonne Entité (insensible à l'encodage)
+    entite_col = [col for col in df.columns if "ntit" in col][0]
+
+    # Filtre la ligne correspondante
+    row = df[
+        (df[entite_col].str.strip().str.lower() == entreprise_name.strip().lower()) &
+        (df["Année"] == année_extraction)
+    ]
+
+    if row.empty:
+        raise ValueError(f"Aucune ligne trouvée pour '{entreprise_name}' en {année_extraction}")
+
+    row = row.iloc[0]
+
+    # Mapping colonnes Excel -> sections SFCR
+    section_columns = {
+        "S.02": "Pages S.02",
+        "S.05": "Pages S.05",
+        "S.12": "Pages S.12",
+        "S.22": "Pages S.22",
+        "S.25": "Pages S.25",
+        "S.28": "Pages S.28",
+    }
+
+    sections = {}
+    for section, col in section_columns.items():
+        val = row.get(col, None)
+        if pd.notna(val) and str(val).strip() != "":
+            # Convertit "135, 136" -> [135, 136]
+            pages = [int(p.strip()) for p in str(val).split(",")]
+            sections[section] = pages 
+        else:
+            sections[section] = []
+
+    return sections

04 - Scripts/main.py

@@ -0,0 +1,57 @@
+from workflow_agents import app
+from function_exctract import extract_pages, extract_pdf_path
+from dotenv import load_dotenv
+from langfuse.langchain import CallbackHandler
+
+# Initialize Langfuse CallbackHandler for Langchain (tracing)
+langfuse_handler = CallbackHandler()
+
+load_dotenv()
+
+INPUTS = {
+    "Caisse Générale de Prévoyance (CGP)_2025.pdf": {
+        #"S.02": [],
+        "S.05": []
+    }
+}
+
+if __name__ == "__main__":
+    # 1. Boucle sur chaque entreprise (Fichier PDF)
+    for pdf_filename, sections_input in INPUTS.items():
+        print(f"\n DÉMARRAGE ENTREPRISE : {pdf_filename}")
+
+        entreprise_clean = pdf_filename.replace(".pdf", "")
+
+        # Récupère le vrai chemin du PDF
+        pdf_path = extract_pdf_path(pdf_filename)
+        print(f"   PDF trouvé : {pdf_path}")
+
+        # Récupère les pages depuis Excel
+        sections_with_pages = extract_pages(pdf_filename)
+
+        # Fusionne : garde seulement les sections choisies dans INPUTS
+        # et remplit les pages depuis Excel
+        sections = {
+            s: sections_with_pages.get(s, [])
+            for s in sections_input.keys()
+        }
+
+        # 2. Boucle sur chaque section
+        for section_name, pages in sections.items():
+            print(f"   Section : {section_name} — pages : {pages}")
+
+            initial_state = {
+                "messages": [],
+                "pdf_path": pdf_path,
+                "pages": pages,
+                "entreprise_name": entreprise_clean,
+                "section_name": section_name
+            }
+
+            try:
+                    final_state = app.invoke(initial_state, config={"callbacks": [langfuse_handler]})
+                    print(f"   Section {section_name} terminée.")
+            except Exception as e:
+                    print(f"  ❌ Erreur section {section_name}: {e}")
+
+    #print("\n✨ TOUTES LES ENTREPRISES ET SECTIONS ONT ÉTÉ TRAITÉES.")

04 - Scripts/package-lock.json

@@ -0,0 +1,6 @@
+{
+  "name": "SFCR_extraction_tool",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {}
+}

04 - Scripts/requirements.txt

@@ -0,0 +1,16 @@
+numpy==1.26.4
+paddlepaddle==2.6.2
+paddleocr==2.7.3
+xlsxwriter
+
+dotenv
+langchain-openai==0.2.5 
+langgraph==0.2.53
+langchain_groq
+langfuse==4.2.0
+
+langchain
+
+protobuf==3.20.3
+scikit-learn
+flask-cors-6.0.2

04 - Scripts/server.py

@@ -0,0 +1,72 @@
+from flask import Flask, request, jsonify
+from flask_cors import CORS
+import subprocess
+import json
+import re
+import os
+
+app = Flask(__name__)
+CORS(app)
+
+import sys # Ajoute cet import en haut de ton fichier
+
+@app.route("/run-extraction", methods=["POST"])
+def run_extraction():
+    data = request.json
+    inputs = data.get("inputs", {})
+
+    script_dir = os.path.dirname(os.path.abspath(__file__))
+    main_path = os.path.join(script_dir, "main.py")
+
+    # 1. Mise à jour du fichier main.py
+    try:
+        with open(main_path, "r", encoding="utf-8") as f:
+            content = f.read()
+
+        # Nettoyage de l'ancien bloc INPUTS (ton regex/logique actuelle)
+        start_idx = content.find("INPUTS = {")
+        if start_idx != -1:
+            brace_count = 0
+            end_idx = start_idx
+            for i, char in enumerate(content[start_idx:]):
+                if char == "{": brace_count += 1
+                elif char == "}":
+                    brace_count -= 1
+                    if brace_count == 0:
+                        end_idx = start_idx + i + 1
+                        break
+            content = content[:start_idx] + content[end_idx:].lstrip()
+
+        # Insertion des nouveaux inputs
+        new_inputs_str = f"INPUTS = {json.dumps(inputs, indent=4, ensure_ascii=False)}\n\n"
+        content = new_inputs_str + content
+
+        with open(main_path, "w", encoding="utf-8") as f:
+            f.write(content)
+            f.flush() # Force l'écriture sur le disque
+            os.fsync(f.fileno()) # Sécurité supplémentaire pour Linux/Mac
+            
+    except Exception as e:
+        return jsonify({"stdout": "", "stderr": f"Erreur écriture : {str(e)}", "returncode": -1})
+
+    # 2. Exécution du script
+    try:
+        # Utilisation de sys.executable pour éviter les erreurs de chemin Python
+        result = subprocess.run(
+            [sys.executable, main_path], 
+            capture_output=True,
+            text=True,
+            cwd=script_dir,
+            timeout=60
+        )
+        
+        return jsonify({
+            "stdout": result.stdout,
+            "stderr": result.stderr,
+            "returncode": result.returncode
+        })
+
+    except subprocess.TimeoutExpired:
+        return jsonify({"stdout": "", "stderr": "Timeout dépassé (60s)", "returncode": -1})
+    except Exception as e:
+        return jsonify({"stdout": "", "stderr": f"Erreur exécution : {str(e)}", "returncode": -1})

04 - Scripts/sfcr-app/.gitignore

@@ -0,0 +1,24 @@
+# Logs
+logs
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+pnpm-debug.log*
+lerna-debug.log*
+
+node_modules
+dist
+dist-ssr
+*.local
+
+# Editor directories and files
+.vscode/*
+!.vscode/extensions.json
+.idea
+.DS_Store
+*.suo
+*.ntvs*
+*.njsproj
+*.sln
+*.sw?

04 - Scripts/sfcr-app/README.md

@@ -0,0 +1,16 @@
+# React + Vite
+
+This template provides a minimal setup to get React working in Vite with HMR and some ESLint rules.
+
+Currently, two official plugins are available:
+
+- [@vitejs/plugin-react](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react) uses [Oxc](https://oxc.rs)
+- [@vitejs/plugin-react-swc](https://github.com/vitejs/vite-plugin-react/blob/main/packages/plugin-react-swc) uses [SWC](https://swc.rs/)
+
+## React Compiler
+
+The React Compiler is not enabled on this template because of its impact on dev & build performances. To add it, see [this documentation](https://react.dev/learn/react-compiler/installation).
+
+## Expanding the ESLint configuration
+
+If you are developing a production application, we recommend using TypeScript with type-aware lint rules enabled. Check out the [TS template](https://github.com/vitejs/vite/tree/main/packages/create-vite/template-react-ts) for information on how to integrate TypeScript and [`typescript-eslint`](https://typescript-eslint.io) in your project.

04 - Scripts/sfcr-app/eslint.config.js

@@ -0,0 +1,29 @@
+import js from '@eslint/js'
+import globals from 'globals'
+import reactHooks from 'eslint-plugin-react-hooks'
+import reactRefresh from 'eslint-plugin-react-refresh'
+import { defineConfig, globalIgnores } from 'eslint/config'
+
+export default defineConfig([
+  globalIgnores(['dist']),
+  {
+    files: ['**/*.{js,jsx}'],
+    extends: [
+      js.configs.recommended,
+      reactHooks.configs.flat.recommended,
+      reactRefresh.configs.vite,
+    ],
+    languageOptions: {
+      ecmaVersion: 2020,
+      globals: globals.browser,
+      parserOptions: {
+        ecmaVersion: 'latest',
+        ecmaFeatures: { jsx: true },
+        sourceType: 'module',
+      },
+    },
+    rules: {
+      'no-unused-vars': ['error', { varsIgnorePattern: '^[A-Z_]' }],
+    },
+  },
+])

04 - Scripts/sfcr-app/index.html

@@ -0,0 +1,13 @@
+<!doctype html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <link rel="icon" type="image/svg+xml" href="/favicon.svg" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>sfcr-app</title>
+  </head>
+  <body>
+    <div id="root"></div>
+    <script type="module" src="/src/main.jsx"></script>
+  </body>
+</html>

04 - Scripts/sfcr-app/package-lock.json

@@ -0,0 +1,2647 @@
+{
+  "name": "sfcr-app",
+  "version": "0.0.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "sfcr-app",
+      "version": "0.0.0",
+      "dependencies": {
+        "react": "^19.2.5",
+        "react-dom": "^19.2.5"
+      },
+      "devDependencies": {
+        "@eslint/js": "^9.39.4",
+        "@types/react": "^19.2.14",
+        "@types/react-dom": "^19.2.3",
+        "@vitejs/plugin-react": "^6.0.1",
+        "eslint": "^9.39.4",
+        "eslint-plugin-react-hooks": "^7.1.1",
+        "eslint-plugin-react-refresh": "^0.5.2",
+        "globals": "^17.5.0",
+        "vite": "^8.0.9"
+      }
+    },
+    "node_modules/@babel/code-frame": {
+      "version": "7.29.0",
+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.29.0.tgz",
+      "integrity": "sha512-9NhCeYjq9+3uxgdtp20LSiJXJvN0FeCtNGpJxuMFZ1Kv3cWUNb6DOhJwUvcVCzKGR66cw4njwM6hrJLqgOwbcw==",
+      "dev": true,
+      "license": "MIT",
+      "dependencies": {
+        "@babel/helper-validator-identifier": "^7.28.5",
+        "js-tokens": "^4.0.0",
+        "picocolors": "^1.1.1"
+      },
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+      }
+    },
+    "node_modules/@babel/compat-data": {
+      "version": "7.29.0",
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+    "node_modules/@babel/core": {
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+      "integrity": "sha512-BN22B5eaMMI9UMtjrGd5g5eCYPpCPDUy0FJXbYsaT5zYxjFOckS53SQDE3pWkVoWpHXVb3BrYcEN4Twa55B5cA==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=0.10.0"
+      }
+    },
+    "node_modules/yallist": {
+      "version": "3.1.1",
+      "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz",
+      "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g==",
+      "dev": true,
+      "license": "ISC"
+    },
+    "node_modules/yocto-queue": {
+      "version": "0.1.0",
+      "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz",
+      "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=10"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/sindresorhus"
+      }
+    },
+    "node_modules/zod": {
+      "version": "4.3.6",
+      "resolved": "https://registry.npmjs.org/zod/-/zod-4.3.6.tgz",
+      "integrity": "sha512-rftlrkhHZOcjDwkGlnUtZZkvaPHCsDATp4pGpuOOMDaTdDDXF91wuVDJoWoPsKX/3YPQ5fHuF3STjcYyKr+Qhg==",
+      "dev": true,
+      "license": "MIT",
+      "funding": {
+        "url": "https://github.com/sponsors/colinhacks"
+      }
+    },
+    "node_modules/zod-validation-error": {
+      "version": "4.0.2",
+      "resolved": "https://registry.npmjs.org/zod-validation-error/-/zod-validation-error-4.0.2.tgz",
+      "integrity": "sha512-Q6/nZLe6jxuU80qb/4uJ4t5v2VEZ44lzQjPDhYJNztRQ4wyWc6VF3D3Kb/fAuPetZQnhS3hnajCf9CsWesghLQ==",
+      "dev": true,
+      "license": "MIT",
+      "engines": {
+        "node": ">=18.0.0"
+      },
+      "peerDependencies": {
+        "zod": "^3.25.0 || ^4.0.0"
+      }
+    }
+  }
+}

04 - Scripts/sfcr-app/package.json

@@ -0,0 +1,27 @@
+{
+  "name": "sfcr-app",
+  "private": true,
+  "version": "0.0.0",
+  "type": "module",
+  "scripts": {
+    "dev": "vite",
+    "build": "vite build",
+    "lint": "eslint .",
+    "preview": "vite preview"
+  },
+  "dependencies": {
+    "react": "^19.2.5",
+    "react-dom": "^19.2.5"
+  },
+  "devDependencies": {
+    "@eslint/js": "^9.39.4",
+    "@types/react": "^19.2.14",
+    "@types/react-dom": "^19.2.3",
+    "@vitejs/plugin-react": "^6.0.1",
+    "eslint": "^9.39.4",
+    "eslint-plugin-react-hooks": "^7.1.1",
+    "eslint-plugin-react-refresh": "^0.5.2",
+    "globals": "^17.5.0",
+    "vite": "^8.0.9"
+  }
+}

04 - Scripts/sfcr-app/public/icons.svg

@@ -0,0 +1,24 @@
+<svg xmlns="http://www.w3.org/2000/svg">
+  <symbol id="bluesky-icon" viewBox="0 0 16 17">
+    <g clip-path="url(#bluesky-clip)"><path fill="#08060d" d="M7.75 7.735c-.693-1.348-2.58-3.86-4.334-5.097-1.68-1.187-2.32-.981-2.74-.79C.188 2.065.1 2.812.1 3.251s.241 3.602.398 4.13c.52 1.744 2.367 2.333 4.07 2.145-2.495.37-4.71 1.278-1.805 4.512 3.196 3.309 4.38-.71 4.987-2.746.608 2.036 1.307 5.91 4.93 2.746 2.72-2.746.747-4.143-1.747-4.512 1.702.189 3.55-.4 4.07-2.145.156-.528.397-3.691.397-4.13s-.088-1.186-.575-1.406c-.42-.19-1.06-.395-2.741.79-1.755 1.24-3.64 3.752-4.334 5.099"/></g>
+    <defs><clipPath id="bluesky-clip"><path fill="#fff" d="M.1.85h15.3v15.3H.1z"/></clipPath></defs>
+  </symbol>
+  <symbol id="discord-icon" viewBox="0 0 20 19">
+    <path fill="#08060d" d="M16.224 3.768a14.5 14.5 0 0 0-3.67-1.153c-.158.286-.343.67-.47.976a13.5 13.5 0 0 0-4.067 0c-.128-.306-.317-.69-.476-.976A14.4 14.4 0 0 0 3.868 3.77C1.546 7.28.916 10.703 1.231 14.077a14.7 14.7 0 0 0 4.5 2.306q.545-.748.965-1.587a9.5 9.5 0 0 1-1.518-.74q.191-.14.372-.293c2.927 1.369 6.107 1.369 8.999 0q.183.152.372.294-.723.437-1.52.74.418.838.963 1.588a14.6 14.6 0 0 0 4.504-2.308c.37-3.911-.63-7.302-2.644-10.309m-9.13 8.234c-.878 0-1.599-.82-1.599-1.82 0-.998.705-1.82 1.6-1.82.894 0 1.614.82 1.599 1.82.001 1-.705 1.82-1.6 1.82m5.91 0c-.878 0-1.599-.82-1.599-1.82 0-.998.705-1.82 1.6-1.82.893 0 1.614.82 1.599 1.82 0 1-.706 1.82-1.6 1.82"/>
+  </symbol>
+  <symbol id="documentation-icon" viewBox="0 0 21 20">
+    <path fill="none" stroke="#aa3bff" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.35" d="m15.5 13.333 1.533 1.322c.645.555.967.833.967 1.178s-.322.623-.967 1.179L15.5 18.333m-3.333-5-1.534 1.322c-.644.555-.966.833-.966 1.178s.322.623.966 1.179l1.534 1.321"/>
+    <path fill="none" stroke="#aa3bff" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.35" d="M17.167 10.836v-4.32c0-1.41 0-2.117-.224-2.68-.359-.906-1.118-1.621-2.08-1.96-.599-.21-1.349-.21-2.848-.21-2.623 0-3.935 0-4.983.369-1.684.591-3.013 1.842-3.641 3.428C3 6.449 3 7.684 3 10.154v2.122c0 2.558 0 3.838.706 4.726q.306.383.713.671c.76.536 1.79.64 3.581.66"/>
+    <path fill="none" stroke="#aa3bff" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.35" d="M3 10a2.78 2.78 0 0 1 2.778-2.778c.555 0 1.209.097 1.748-.047.48-.129.854-.503.982-.982.145-.54.048-1.194.048-1.749a2.78 2.78 0 0 1 2.777-2.777"/>
+  </symbol>
+  <symbol id="github-icon" viewBox="0 0 19 19">
+    <path fill="#08060d" fill-rule="evenodd" d="M9.356 1.85C5.05 1.85 1.57 5.356 1.57 9.694a7.84 7.84 0 0 0 5.324 7.44c.387.079.528-.168.528-.376 0-.182-.013-.805-.013-1.454-2.165.467-2.616-.935-2.616-.935-.349-.91-.864-1.143-.864-1.143-.71-.48.051-.48.051-.48.787.051 1.2.805 1.2.805.695 1.194 1.817.857 2.268.649.064-.507.27-.857.49-1.052-1.728-.182-3.545-.857-3.545-3.87 0-.857.31-1.558.8-2.104-.078-.195-.349-1 .077-2.078 0 0 .657-.208 2.14.805a7.5 7.5 0 0 1 1.946-.26c.657 0 1.328.092 1.946.26 1.483-1.013 2.14-.805 2.14-.805.426 1.078.155 1.883.078 2.078.502.546.799 1.247.799 2.104 0 3.013-1.818 3.675-3.558 3.87.284.247.528.714.528 1.454 0 1.052-.012 1.896-.012 2.156 0 .208.142.455.528.377a7.84 7.84 0 0 0 5.324-7.441c.013-4.338-3.48-7.844-7.773-7.844" clip-rule="evenodd"/>
+  </symbol>
+  <symbol id="social-icon" viewBox="0 0 20 20">
+    <path fill="none" stroke="#aa3bff" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.35" d="M12.5 6.667a4.167 4.167 0 1 0-8.334 0 4.167 4.167 0 0 0 8.334 0"/>
+    <path fill="none" stroke="#aa3bff" stroke-linecap="round" stroke-linejoin="round" stroke-width="1.35" d="M2.5 16.667a5.833 5.833 0 0 1 8.75-5.053m3.837.474.513 1.035c.07.144.257.282.414.309l.93.155c.596.1.736.536.307.965l-.723.73a.64.64 0 0 0-.152.531l.207.903c.164.715-.213.991-.84.618l-.872-.52a.63.63 0 0 0-.577 0l-.872.52c-.624.373-1.003.094-.84-.618l.207-.903a.64.64 0 0 0-.152-.532l-.723-.729c-.426-.43-.289-.864.306-.964l.93-.156a.64.64 0 0 0 .412-.31l.513-1.034c.28-.562.735-.562 1.012 0"/>
+  </symbol>
+  <symbol id="x-icon" viewBox="0 0 19 19">
+    <path fill="#08060d" fill-rule="evenodd" d="M1.893 1.98c.052.072 1.245 1.769 2.653 3.77l2.892 4.114c.183.261.333.48.333.486s-.068.089-.152.183l-.522.593-.765.867-3.597 4.087c-.375.426-.734.834-.798.905a1 1 0 0 0-.118.148c0 .01.236.017.664.017h.663l.729-.83c.4-.457.796-.906.879-.999a692 692 0 0 0 1.794-2.038c.034-.037.301-.34.594-.675l.551-.624.345-.392a7 7 0 0 1 .34-.374c.006 0 .93 1.306 2.052 2.903l2.084 2.965.045.063h2.275c1.87 0 2.273-.003 2.266-.021-.008-.02-1.098-1.572-3.894-5.547-2.013-2.862-2.28-3.246-2.273-3.266.008-.019.282-.332 2.085-2.38l2-2.274 1.567-1.782c.022-.028-.016-.03-.65-.03h-.674l-.3.342a871 871 0 0 1-1.782 2.025c-.067.075-.405.458-.75.852a100 100 0 0 1-.803.91c-.148.172-.299.344-.99 1.127-.304.343-.32.358-.345.327-.015-.019-.904-1.282-1.976-2.808L6.365 1.85H1.8zm1.782.91 8.078 11.294c.772 1.08 1.413 1.973 1.425 1.984.016.017.241.02 1.05.017l1.03-.004-2.694-3.766L7.796 5.75 5.722 2.852l-1.039-.004-1.039-.004z" clip-rule="evenodd"/>
+  </symbol>
+</svg>

04 - Scripts/sfcr-app/src/App.css

@@ -0,0 +1,97 @@
+@import url('https://fonts.googleapis.com/css2?family=DM+Sans:wght@400;500;600;700;800&display=swap');
+
+:root {
+  --bg: #0d0f14;
+  --surface: #141720;
+  --surface-hover: #1c2030;
+  --border: #252a38;
+  --border-light: #2e3448;
+  --accent: #3b82f6;
+  --accent-glow: rgba(59, 130, 246, 0.2);
+  --accent-soft: rgba(59, 130, 246, 0.08);
+  --gold: #f59e0b;
+  --gold-soft: rgba(245, 158, 11, 0.12);
+  --text: #e8ecf4;
+  --text-muted: #6b7594;
+  --text-dim: #9aa3bc;
+  --green: #10b981;
+  --green-soft: rgba(16, 185, 129, 0.1);
+}
+
+* { box-sizing: border-box; }
+body { margin: 0; background: var(--bg); color: var(--text); font-family: 'DM Sans', sans-serif; }
+
+/* Scrollbar */
+::-webkit-scrollbar { width: 6px; }
+::-webkit-scrollbar-thumb { background: var(--border); border-radius: 10px; }
+
+.app-root { display: flex; height: 100vh; overflow: hidden; }
+
+/* Sidebar */
+.sidebar {
+  background: var(--surface);
+  border-right: 1px solid var(--border);
+  display: flex;
+  flex-direction: column;
+  transition: width 0.25s ease;
+}
+
+.nav-btn {
+  display: flex; align-items: center; gap: 12px; padding: 12px;
+  background: none; border: none; color: var(--text-muted);
+  cursor: pointer; width: 100%; border-radius: 8px; transition: 0.2s;
+}
+
+.nav-btn.active { background: var(--accent-soft); color: var(--accent); }
+
+/* Main Panels */
+.main-content { flex: 1; overflow-y: auto; padding: 32px; }
+
+.page-header { display: flex; justify-content: space-between; margin-bottom: 30px; }
+
+.card {
+  background: var(--surface);
+  border: 1px solid var(--border);
+  border-radius: 12px;
+  padding: 20px;
+  margin-bottom: 20px;
+}
+
+.extract-btn {
+  background: var(--accent); color: white; border: none;
+  padding: 12px 24px; border-radius: 8px; font-weight: 700;
+  cursor: pointer; transition: 0.2s; box-shadow: 0 4px 15px var(--accent-glow);
+}
+
+.extract-btn:hover { transform: translateY(-2px); opacity: 0.9; }
+
+/* Grid Layout */
+.two-col { display: grid; grid-template-columns: 1fr 1fr; gap: 24px; }
+
+/* Company Row */
+.company-row {
+  display: flex; align-items: center; gap: 12px; padding: 10px;
+  border-radius: 8px; cursor: pointer; transition: 0.15s;
+}
+.company-row:hover { background: var(--surface-hover); }
+.company-row.selected { background: var(--accent-soft); border: 1px solid var(--accent-soft); }
+
+.avatar {
+  width: 32px; height: 32px; border-radius: 6px;
+  background: linear-gradient(135deg, #1e3a5f, #2d5a8e);
+  display: flex; align-items: center; justify-content: center;
+  font-size: 11px; font-weight: bold; color: #7fb3e8;
+}
+
+/* Utils */
+.chip-grid { display: flex; gap: 8px; flex-wrap: wrap; }
+.chip {
+  padding: 8px 16px; border-radius: 6px; border: 1px solid var(--border);
+  background: var(--bg); cursor: pointer; color: var(--text-dim);
+}
+.chip.active { border-color: var(--accent); color: var(--accent); background: var(--accent-soft); }
+
+.prompt-area {
+  width: 100%; background: var(--bg); border: 1px solid var(--border);
+  border-radius: 8px; color: var(--text); padding: 12px; resize: none;
+}

04 - Scripts/sfcr-app/src/App.jsx

@@ -0,0 +1,457 @@
+import { useState, useMemo } from "react";
+import { ALL_COMPANIES, SFCR_SECTIONS, YEARS, CURRENT_YEAR, sectionLabels } from "./constants";
+import { styles, cssString } from "./styles";
+import { C } from "./styles"; // Import des couleurs pour usage direct si besoin
+
+// --- COMPOSANT DE SUIVI (Externe à App pour la performance) ---
+const ExtractionStatusView = ({ selectedCompanies, globalSections, onClose }) => {
+  return (
+    <div style={styles.extractionWrapper}>
+      <div style={styles.extractionHeader}>
+        <div>
+          <h2 style={styles.pageTitle}>Analyse Multi-Agents</h2>
+          <p style={styles.pageSubtitle}>Traitement des rapports Solvabilité II en cours...</p>
+        </div>
+        <button onClick={onClose} style={styles.showMoreBtn}>Interrompre l'analyse</button>
+      </div>
+
+      <div style={styles.extractionList}>
+        {selectedCompanies.map((company) => (
+          <div key={company.id} style={styles.extractionCard}>
+            <div style={styles.companyStatusHeader}>
+              <div style={styles.companyAvatar}>{company.logo}</div>
+              <div style={{ flex: 1 }}>
+                <h4 style={{ margin: 0, fontSize: '14px', color: '#e8ecf4' }}>{company.name}</h4>
+                <span style={{ fontSize: '11px', color: C.accent }}>
+                  Extraction en cours... <span className="loader-dots"></span>
+                </span>
+              </div>
+            </div>
+
+            <div style={styles.stepsTimeline}>
+              <div style={styles.stepItemActive}>
+                <span style={styles.stepIcon}>📄</span>
+                <span>Fichier PDF chargé</span>
+              </div>
+              
+              {globalSections.length > 0 ? (
+                globalSections.map(section => (
+                  <div key={section} style={styles.stepItemPending}>
+                    <span style={styles.stepIcon}>⚙️</span>
+                    <span>Analyse {section}</span>
+                  </div>
+                ))
+              ) : (
+                <div style={styles.stepItemPending}>
+                  <span style={styles.stepIcon}>⚙️</span>
+                  <span>Analyse automatique</span>
+                </div>
+              )}
+
+              <div style={styles.stepItemPending}>
+                <span style={styles.stepIcon}>✅</span>
+                <span>Finalisation</span>
+              </div>
+            </div>
+          </div>
+        ))}
+      </div>
+    </div>
+  );
+};
+
+// --- COMPOSANT PRINCIPAL ---
+export default function App() {
+  const [activeNav, setActiveNav] = useState("extraction");
+  const [search, setSearch] = useState("");
+  const [showAll, setShowAll] = useState(false);
+  const [selectedCompanies, setSelectedCompanies] = useState([]);
+  const [selectedSections, setSelectedSections] = useState({});
+  const [selectedYears, setSelectedYears] = useState({});
+  const [globalSections, setGlobalSections] = useState([]);
+  const [globalYear, setGlobalYear] = useState(CURRENT_YEAR);
+  const [sectionMode, setSectionMode] = useState("global");
+  const [yearMode, setYearMode] = useState("global");
+  const [prompt, setPrompt] = useState("");
+  const [sidebarCollapsed, setSidebarCollapsed] = useState(false);
+  
+  // État pour basculer l'interface
+  const [isExtracting, setIsExtracting] = useState(false);
+
+  const filtered = useMemo(() => {
+    const base = ALL_COMPANIES.filter((c) =>
+      c.name.toLowerCase().includes(search.toLowerCase())
+    );
+    return showAll ? base : base.slice(0, 5);
+  }, [search, showAll]);
+
+  const toggleCompany = (id) => {
+    setSelectedCompanies((prev) =>
+      prev.includes(id) ? prev.filter((c) => c !== id) : [...prev, id]
+    );
+  };
+
+  const toggleAll = () => {
+    if (selectedCompanies.length === filtered.length) {
+      setSelectedCompanies([]);
+    } else {
+      setSelectedCompanies(filtered.map((c) => c.id));
+    }
+  };
+
+  const toggleGlobalSection = (s) => {
+    setGlobalSections((prev) =>
+      prev.includes(s) ? prev.filter((x) => x !== s) : [...prev, s]
+    );
+  };
+
+  const toggleCompanySection = (companyId, s) => {
+    setSelectedSections((prev) => {
+      const cur = prev[companyId] || [];
+      return {
+        ...prev,
+        [companyId]: cur.includes(s) ? cur.filter((x) => x !== s) : [...cur, s],
+      };
+    });
+  };
+
+  const setCompanyYear = (companyId, year) => {
+    setSelectedYears((prev) => ({ ...prev, [companyId]: year }));
+  };
+
+  const selectedCompanyObjects = useMemo(() => 
+    ALL_COMPANIES.filter((c) => selectedCompanies.includes(c.id)),
+    [selectedCompanies]
+  );
+
+  const handleExtraction = async () => {
+    if (selectedCompanies.length === 0) {
+      alert("Veuillez sélectionner au moins une entreprise.");
+      return;
+    }
+
+    // 1. Afficher immédiatement l'interface d'extraction
+    setIsExtracting(true);
+
+    const inputs = {};
+    selectedCompanyObjects.forEach((company) => {
+      const sections = sectionMode === "global"
+        ? globalSections
+        : (selectedSections[company.id] || []);
+
+      const year = yearMode === "global"
+        ? globalYear
+        : (selectedYears[company.id] || CURRENT_YEAR);
+
+      if (sections.length > 0) {
+        const filename = `${company.name}_${year}.pdf`;
+        inputs[filename] = {};
+        sections.forEach((s) => {
+          inputs[filename][s] = [];
+        });
+      }
+    });
+
+    try {
+      const response = await fetch("http://localhost:5000/run-extraction", {
+        method: "POST",
+        headers: { "Content-Type": "application/json" },
+        body: JSON.stringify({ inputs }),
+      });
+
+      const result = await response.json();
+      console.log("Résultat:", result);
+      
+      // On garde l'interface affichée mais on prévient que c'est fini
+      alert("Extraction terminée avec succès !");
+      // setIsExtracting(false); // Décommenter si tu veux revenir au menu automatiquement
+    } catch (err) {
+      setIsExtracting(false);
+      alert("Erreur : impossible de contacter le serveur Python.");
+    }
+  };
+
+  return (
+    <div style={styles.root}>
+      <style>{cssString}</style>
+
+      {/* Sidebar - Toujours présente */}
+      <aside style={{ ...styles.sidebar, width: sidebarCollapsed ? 64 : 220 }}>
+        <div style={styles.sidebarHeader}>
+          {!sidebarCollapsed && (
+            <span style={styles.brandText}>
+              <span style={styles.brandAccent}>SFCR</span>
+              <span style={styles.brandSub}>·extract</span>
+            </span>
+          )}
+          <button onClick={() => setSidebarCollapsed((v) => !v)} style={styles.collapseBtn}>
+            {sidebarCollapsed ? "›" : "‹"}
+          </button>
+        </div>
+
+        <nav style={styles.nav}>
+          {[
+            { id: "search", icon: "⊕", label: "Search Sources" },
+            { id: "extraction", icon: "⊞", label: "Extraction" },
+          ].map((item) => (
+            <button
+              key={item.id}
+              onClick={() => {
+                setActiveNav(item.id);
+                if (item.id === "search") setIsExtracting(false); // Reset si on change d'onglet
+              }}
+              style={{
+                ...styles.navBtn,
+                ...(activeNav === item.id ? styles.navBtnActive : {}),
+              }}
+              className="nav-btn"
+            >
+              <span style={styles.navIcon}>{item.icon}</span>
+              {!sidebarCollapsed && <span style={styles.navLabel}>{item.label}</span>}
+            </button>
+          ))}
+        </nav>
+      </aside>
+
+      {/* Main Content Area */}
+      <main style={styles.main}>
+        {activeNav === "search" ? (
+          <div style={styles.placeholderPanel}>
+            <div style={styles.placeholderIcon}>⊕</div>
+            <h2 style={styles.placeholderTitle}>Search Sources</h2>
+            <p style={styles.placeholderDesc}>Section dédiée à la recherche de sources SFCR.</p>
+          </div>
+        ) : isExtracting ? (
+          // --- VUE SUIVI (Affiche les agents en action) ---
+          <ExtractionStatusView 
+            selectedCompanies={selectedCompanyObjects}
+            globalSections={globalSections}
+            onClose={() => setIsExtracting(false)}
+          />
+        ) : (
+          // --- VUE CONFIGURATION (Interface normale) ---
+          <div style={styles.extractionPanel}>
+            <div style={styles.pageHeader}>
+              <div>
+                <h1 style={styles.pageTitle}>Extraction SFCR</h1>
+                <p style={styles.pageSubtitle}>Sélectionnez les entreprises et paramétrez l'extraction</p>
+              </div>
+              <button style={styles.extractBtn} className="extract-btn" onClick={handleExtraction}>
+                <span>▶</span> Lancer l'extraction
+              </button>
+            </div>
+
+            <div style={styles.twoCol}>
+              <div style={styles.leftCol}>
+                {/* 01. SELECTION ENTREPRISES */}
+               <section style={styles.card}>
+                  <div style={styles.cardHeader}>
+                    <span style={styles.cardBadge}>01</span>
+                    <h2 style={styles.cardTitle}>Sélection des entreprises</h2>
+                    {selectedCompanies.length > 0 && (
+                      <span style={styles.countPill}>
+                        {selectedCompanies.length} sélectionné
+                        {selectedCompanies.length > 1 ? "s" : ""}
+                      </span>
+                    )}
+                  </div>
+
+                  <div style={styles.searchRow}>
+                    <span style={styles.searchIcon}>🔍</span>
+                    <input
+                      style={styles.searchInput}
+                      placeholder="Rechercher une entreprise…"
+                      value={search}
+                      onChange={(e) => setSearch(e.target.value)}
+                    />
+                  </div>
+
+                  <div style={styles.selectAllRow}>
+                    <label style={styles.checkLabel} className="check-label">
+                      <input
+                        type="checkbox"
+                        checked={
+                          filtered.length > 0 &&
+                          filtered.every((c) => selectedCompanies.includes(c.id))
+                        }
+                        onChange={toggleAll}
+                        style={styles.hiddenCheck}
+                      />
+                      <span
+                        style={{
+                          ...styles.customCheck,
+                          ...(filtered.length > 0 &&
+                          filtered.every((c) => selectedCompanies.includes(c.id))
+                            ? styles.customCheckChecked
+                            : {}),
+                        }}
+                      >
+                        {filtered.length > 0 &&
+                          filtered.every((c) => selectedCompanies.includes(c.id)) &&
+                          "✓"}
+                      </span>
+                      <span style={styles.checkLabelText}>Tout sélectionner</span>
+                    </label>
+                  </div>
+
+                  {/* --- ZONE DE SCROLL AJOUTÉE ICI --- */}
+                  <div 
+                    style={{ 
+                      maxHeight: "300px", // Tu peux ajuster la hauteur (ex: 250px ou 400px)
+                      overflowY: "auto", 
+                      paddingRight: "5px" // Petit espace pour ne pas coller à la barre de scroll
+                    }}
+                  >
+                    <div style={styles.companyList}>
+                      {filtered.map((company) => {
+                        const checked = selectedCompanies.includes(company.id);
+                        return (
+                          <label
+                            key={company.id}
+                            style={{
+                              ...styles.companyRow,
+                              ...(checked ? styles.companyRowChecked : {}),
+                            }}
+                            className="company-row"
+                          >
+                            <input
+                              type="checkbox"
+                              checked={checked}
+                              onChange={() => toggleCompany(company.id)}
+                              style={styles.hiddenCheck}
+                            />
+                            <span style={styles.companyAvatar}>{company.logo}</span>
+                            <span style={styles.companyName}>{company.name}</span>
+                            <span
+                              style={{
+                                ...styles.customCheck,
+                                ...(checked ? styles.customCheckChecked : {}),
+                              }}
+                            >
+                              {checked && "✓"}
+                            </span>
+                          </label>
+                        );
+                      })}
+                    </div>
+                  </div>
+                  {/* --- FIN DE LA ZONE DE SCROLL --- */}
+
+                  {!showAll && ALL_COMPANIES.length > 10 && (
+                    <button
+                      style={styles.showMoreBtn}
+                      onClick={() => setShowAll(true)}
+                    >
+                      Afficher plus ({ALL_COMPANIES.length - 10} entreprises)
+                    </button>
+                  )}
+                </section>
+
+                {/* 04. ANNEE */}
+                {selectedCompanies.length > 0 && (
+                  <section style={styles.card}>
+                    <div style={styles.cardHeader}>
+                      <span style={styles.cardBadge}>04</span>
+                      <h2 style={styles.cardTitle}>Année de rapport</h2>
+                    </div>
+                    <div style={styles.modeToggle}>
+                      <button style={{...styles.modeBtn, ...(yearMode === "global" ? styles.modeBtnActive : {})}} onClick={() => setYearMode("global")}>Toutes</button>
+                      <button style={{...styles.modeBtn, ...(yearMode === "individual" ? styles.modeBtnActive : {})}} onClick={() => setYearMode("individual")}>Par entreprise</button>
+                    </div>
+                    {yearMode === "global" ? (
+                      <div style={styles.yearGrid}>
+                        {YEARS.map(y => (
+                          <button key={y} style={{...styles.yearChip, ...(globalYear === y ? styles.yearChipActive : {})}} onClick={() => setGlobalYear(y)}>{y}</button>
+                        ))}
+                      </div>
+                    ) : (
+                      <div style={styles.perCompanyList}>
+                        {selectedCompanyObjects.map(c => (
+                          <div key={c.id} style={styles.perCompanyRow}>
+                            <span style={styles.perCompanyName}>{c.name}</span>
+                            <div style={styles.miniYearRow}>
+                              {YEARS.map(y => (
+                                <button key={y} style={{...styles.miniYearChip, ...((selectedYears[c.id] || CURRENT_YEAR) === y ? styles.miniYearChipActive : {})}} onClick={() => setCompanyYear(c.id, y)}>{y}</button>
+                              ))}
+                            </div>
+                          </div>
+                        ))}
+                      </div>
+                    )}
+                  </section>
+                )}
+              </div>
+
+              <div style={styles.rightCol}>
+                {/* 03. SECTIONS */}
+                {selectedCompanies.length > 0 && (
+                  <section style={styles.card}>
+                    <div style={styles.cardHeader}>
+                      <span style={styles.cardBadge}>03</span>
+                      <h2 style={styles.cardTitle}>Sections SFCR</h2>
+                    </div>
+                    <div style={styles.modeToggle}>
+                      <button style={{...styles.modeBtn, ...(sectionMode === "global" ? styles.modeBtnActive : {})}} onClick={() => setSectionMode("global")}>Toutes</button>
+                      <button style={{...styles.modeBtn, ...(sectionMode === "individual" ? styles.modeBtnActive : {})}} onClick={() => setSectionMode("individual")}>Par entreprise</button>
+                    </div>
+                    {sectionMode === "global" ? (
+                      <div style={styles.sectionGrid}>
+                        {SFCR_SECTIONS.map(s => (
+                          <button key={s} onClick={() => toggleGlobalSection(s)} style={{...styles.sectionChip, ...(globalSections.includes(s) ? styles.sectionChipActive : {})}}>
+                            <span style={styles.sectionCode}>{s}</span>
+                            <span style={styles.sectionLabel}>{sectionLabels[s]}</span>
+                          </button>
+                        ))}
+                      </div>
+                    ) : (
+                      <div style={styles.perCompanyList}>
+                        {selectedCompanyObjects.map(c => (
+                          <div key={c.id} style={styles.perCompanyBlock}>
+                            <div style={styles.perCompanyHeader}><span style={styles.perCompanyName}>{c.name}</span></div>
+                            <div style={styles.miniSectionGrid}>
+                              {SFCR_SECTIONS.map(s => (
+                                <button key={s} onClick={() => toggleCompanySection(c.id, s)} style={{...styles.miniSectionChip, ...(selectedSections[c.id]?.includes(s) ? styles.miniSectionChipActive : {})}}>{s}</button>
+                              ))}
+                            </div>
+                          </div>
+                        ))}
+                      </div>
+                    )}
+                  </section>
+                )}
+
+                {/* 02. PROMPT */}
+                <section style={styles.card}>
+                  <div style={styles.cardHeader}>
+                    <span style={styles.cardBadge}>02</span>
+                    <h2 style={styles.cardTitle}>Prompt d'extraction</h2>
+                  </div>
+                  <div style={styles.promptWrapper}>
+                    <textarea style={styles.promptInput} placeholder="Instructions spécifiques..." value={prompt} onChange={(e) => setPrompt(e.target.value)} rows={4} />
+                  </div>
+                </section>
+
+                {/* RECAPITULATIF */}
+                {selectedCompanies.length > 0 && (
+                  <section style={styles.summaryCard}>
+                    <h3 style={styles.summaryTitle}>Récapitulatif</h3>
+                    <div style={styles.summaryGrid}>
+                      <div style={styles.summaryItem}>
+                        <span style={styles.summaryNum}>{selectedCompanies.length}</span>
+                        <span style={styles.summaryItemLabel}>Entreprise(s)</span>
+                      </div>
+                      <div style={styles.summaryItem}>
+                        <span style={styles.summaryNum}>{sectionMode === "global" ? globalSections.length : "Varié"}</span>
+                        <span style={styles.summaryItemLabel}>Section(s)</span>
+                      </div>
+                    </div>
+                  </section>
+                )}
+              </div>
+            </div>
+          </div>
+        )}
+      </main>
+    </div>
+  );
+}

04 - Scripts/sfcr-app/src/constants.js

@@ -0,0 +1,43 @@
+export const ALL_COMPANIES = [
+  { id: 1, name: "Abeille Epargne Retraite", logo: "AE" },
+  { id: 2, name: "Abeille Vie", logo: "AV" },
+  { id: 3, name: "ACM Vie SA", logo: "AC" },
+  { id: 4, name: "ACM Vie SAM", logo: "AM" },
+  { id: 5, name: "Allianz Vie", logo: "AL" },
+  { id: 6, name: "ANTARIUS", logo: "AN" },
+  { id: 7, name: "AXA Assurances Vie Mutuelle", logo: "AX" },
+  { id: 8, name: "AXA France Vie", logo: "AF" },
+  { id: 9, name: "BPCE VIE", logo: "BP" },
+  { id: 10, name: "Caisse Générale de Prévoyance (CGP)", logo: "CG" },
+  { id: 11, name: "Cardif Assurance Vie", logo: "CA" },
+  { id: 12, name: "CNP Assurances", logo: "CN" },
+  { id: 13, name: "Generali Vie", logo: "GE" },
+  { id: 14, name: "GMF Vie", logo: "GM" },
+  { id: 15, name: "Groupama Gan Vie", logo: "GG" },
+  { id: 16, name: "HSBC Assurances Vie", logo: "HS" },
+  { id: 17, name: "La France Mutualiste", logo: "LF" },
+  { id: 18, name: "MAAF Vie", logo: "MF" },
+  { id: 19, name: "MACSF Epargne Retraite", logo: "MC" },
+  { id: 20, name: "MAIF Vie", logo: "MA" },
+  { id: 21, name: "MMA Vie SA", logo: "MM" },
+  { id: 22, name: "Prépar Vie", logo: "PR" },
+  { id: 23, name: "SMA Vie BTP", logo: "SM" },
+  { id: 24, name: "SOGECAP", logo: "SO" },
+  { id: 25, name: "SPIRICA", logo: "SP" },
+  { id: 26, name: "SURAVENIR SA", logo: "SU" },
+  { id: 27, name: "SwissLife Assurance et Patrimoine", logo: "SW" },
+];
+
+export const SFCR_SECTIONS = ["S.02", "S.05", "S.12", "S.17", "S.22", "S.25", "S.28"];
+export const YEARS = [2025, 2024, 2023, 2022, 2021, 2020, 2019];
+export const CURRENT_YEAR = 2025;
+
+export const sectionLabels = {
+  "S.02": "Bilan",
+  "S.05": "Primes, sinistres et dépenses",
+  "S.12": "Provisions techniques vie",
+  "S.17": "Provisions techniques non-vie",
+  "S.22": "Impact mesures long terme",
+  "S.25": "Capital de solvabilité requis",
+  "S.28": "MCR",
+};

04 - Scripts/sfcr-app/src/index.css

@@ -0,0 +1,10 @@
+* {
+  margin: 0;
+  padding: 0;
+  box-sizing: border-box;
+}
+
+html, body, #root {
+  width: 100%;
+  height: 100%;
+}

04 - Scripts/sfcr-app/src/main.jsx

@@ -0,0 +1,10 @@
+import { StrictMode } from 'react'
+import { createRoot } from 'react-dom/client'
+import './index.css'
+import App from './App.jsx'
+
+createRoot(document.getElementById('root')).render(
+  <StrictMode>
+    <App />
+  </StrictMode>,
+)

04 - Scripts/sfcr-app/src/styles.js

@@ -0,0 +1,587 @@
+export const C = {
+  bg: "#0d0f14",
+  surface: "#141720",
+  surfaceHover: "#1c2030",
+  border: "#252a38",
+  borderLight: "#2e3448",
+  accent: "#3b82f6",
+  accentGlow: "rgba(59,130,246,0.15)",
+  accentSoft: "rgba(59,130,246,0.08)",
+  gold: "#f59e0b",
+  goldSoft: "rgba(245,158,11,0.12)",
+  text: "#e8ecf4",
+  textMuted: "#6b7594",
+  textDim: "#9aa3bc",
+  green: "#10b981",
+  greenSoft: "rgba(16,185,129,0.1)",
+};
+
+export const styles = {
+
+    extractionWrapper: {
+    padding: '30px',
+    animation: 'fadeIn 0.4s ease-out',
+  },
+  extractionHeader: {
+    display: 'flex',
+    justifyContent: 'space-between',
+    alignItems: 'center',
+    marginBottom: '25px',
+  },
+  extractionList: {
+    display: 'flex',
+    flexDirection: 'column',
+    gap: '15px',
+  },
+  extractionCard: {
+    background: C.surface,
+    border: `1px solid ${C.border}`,
+    borderRadius: '12px',
+    padding: '20px',
+    boxShadow: '0 4px 20px rgba(0,0,0,0.2)',
+  },
+  companyStatusHeader: {
+    display: 'flex',
+    alignItems: 'center',
+    gap: '15px',
+    marginBottom: '20px',
+    borderBottom: `1px solid ${C.border}`,
+    paddingBottom: '15px',
+  },
+  stepsTimeline: {
+    display: 'flex',
+    justifyContent: 'space-between',
+    padding: '0 10px',
+  },
+  stepItemActive: {
+    display: 'flex',
+    flexDirection: 'column',
+    alignItems: 'center',
+    gap: '8px',
+    fontSize: '11px',
+    color: C.accent,
+    fontWeight: 'bold',
+  },
+  stepItemPending: {
+    display: 'flex',
+    flexDirection: 'column',
+    alignItems: 'center',
+    gap: '8px',
+    fontSize: '11px',
+    color: C.textMuted,
+    opacity: 0.6,
+  },
+  stepIcon: {
+    fontSize: '18px',
+  },
+
+
+  root: {
+    display: "flex",
+    height: "100vh",
+    background: C.bg,
+    color: C.text,
+    fontFamily: "'DM Sans', 'Segoe UI', sans-serif",
+    overflow: "hidden",
+  },
+  sidebar: {
+    background: C.surface,
+    borderRight: `1px solid ${C.border}`,
+    display: "flex",
+    flexDirection: "column",
+    transition: "width 0.25s cubic-bezier(.4,0,.2,1)",
+    flexShrink: 0,
+    overflow: "hidden",
+  },
+  sidebarHeader: {
+    display: "flex",
+    alignItems: "center",
+    justifyContent: "space-between",
+    padding: "20px 16px 12px",
+    borderBottom: `1px solid ${C.border}`,
+    minHeight: 64,
+  },
+  brandText: {
+    display: "flex",
+    alignItems: "baseline",
+    gap: 4,
+    whiteSpace: "nowrap",
+  },
+  brandAccent: {
+    fontSize: 18,
+    fontWeight: 800,
+    letterSpacing: "-0.5px",
+    color: C.accent,
+  },
+  brandSub: {
+    fontSize: 13,
+    color: C.textMuted,
+    fontWeight: 400,
+  },
+  collapseBtn: {
+    background: "none",
+    border: `1px solid ${C.border}`,
+    color: C.textDim,
+    width: 28,
+    height: 28,
+    borderRadius: 6,
+    cursor: "pointer",
+    fontSize: 16,
+    display: "flex",
+    alignItems: "center",
+    justifyContent: "center",
+    flexShrink: 0,
+  },
+  nav: {
+    padding: "12px 10px",
+    display: "flex",
+    flexDirection: "column",
+    gap: 4,
+    flex: 1,
+  },
+  navBtn: {
+    display: "flex",
+    alignItems: "center",
+    gap: 10,
+    padding: "10px 12px",
+    borderRadius: 8,
+    border: "none",
+    background: "none",
+    color: C.textMuted,
+    cursor: "pointer",
+    textAlign: "left",
+    fontSize: 13.5,
+    fontWeight: 500,
+    transition: "all 0.15s",
+    whiteSpace: "nowrap",
+  },
+  navBtnActive: {
+    background: C.accentSoft,
+    color: C.accent,
+    borderLeft: `2px solid ${C.accent}`,
+  },
+  navIcon: { fontSize: 16, flexShrink: 0 },
+  navLabel: { overflow: "hidden", textOverflow: "ellipsis" },
+  sidebarFooter: {
+    padding: "12px 16px 20px",
+    borderTop: `1px solid ${C.border}`,
+  },
+  footerBadge: {
+    display: "inline-block",
+    fontSize: 10,
+    fontWeight: 700,
+    letterSpacing: "1px",
+    color: C.gold,
+    background: C.goldSoft,
+    border: `1px solid rgba(245,158,11,0.2)`,
+    borderRadius: 4,
+    padding: "3px 8px",
+    textTransform: "uppercase",
+  },
+  main: {
+    flex: 1,
+    overflow: "auto",
+    background: C.bg,
+  },
+  placeholderPanel: {
+    display: "flex",
+    flexDirection: "column",
+    alignItems: "center",
+    justifyContent: "center",
+    height: "100%",
+    gap: 16,
+    color: C.textMuted,
+  },
+  placeholderIcon: { fontSize: 48, opacity: 0.3 },
+  placeholderTitle: { fontSize: 22, fontWeight: 600, color: C.textDim, margin: 0 },
+  placeholderDesc: { fontSize: 14, margin: 0 },
+  extractionPanel: {
+    padding: "28px 32px",
+    minHeight: "100%",
+    boxSizing: "border-box",
+  },
+  pageHeader: {
+    display: "flex",
+    justifyContent: "space-between",
+    alignItems: "flex-start",
+    marginBottom: 28,
+  },
+  pageTitle: {
+    fontSize: 26,
+    fontWeight: 800,
+    margin: "0 0 4px",
+    letterSpacing: "-0.5px",
+    background: `linear-gradient(135deg, ${C.text}, ${C.textDim})`,
+    WebkitBackgroundClip: "text",
+    WebkitTextFillColor: "transparent",
+  },
+  pageSubtitle: { fontSize: 13, color: C.textMuted, margin: 0 },
+  extractBtn: {
+    background: C.accent,
+    color: "#fff",
+    border: "none",
+    borderRadius: 8,
+    padding: "11px 22px",
+    fontSize: 14,
+    fontWeight: 600,
+    cursor: "pointer",
+    display: "flex",
+    alignItems: "center",
+    gap: 8,
+    transition: "all 0.2s",
+    boxShadow: `0 0 24px ${C.accentGlow}`,
+  },
+  twoCol: {
+    display: "grid",
+    gridTemplateColumns: "1fr 1fr",
+    gap: 20,
+    alignItems: "start",
+  },
+  leftCol: { display: "flex", flexDirection: "column", gap: 20 },
+  rightCol: { display: "flex", flexDirection: "column", gap: 20 },
+  card: {
+    background: C.surface,
+    border: `1px solid ${C.border}`,
+    borderRadius: 12,
+    padding: "20px 22px",
+  },
+  cardHeader: {
+    display: "flex",
+    alignItems: "center",
+    gap: 10,
+    marginBottom: 16,
+  },
+  cardBadge: {
+    fontSize: 11,
+    fontWeight: 800,
+    color: C.accent,
+    background: C.accentSoft,
+    border: `1px solid rgba(59,130,246,0.25)`,
+    borderRadius: 5,
+    padding: "2px 7px",
+    letterSpacing: "0.5px",
+  },
+  cardTitle: {
+    fontSize: 15,
+    fontWeight: 700,
+    margin: 0,
+    flex: 1,
+  },
+  countPill: {
+    fontSize: 11,
+    fontWeight: 600,
+    color: C.green,
+    background: C.greenSoft,
+    borderRadius: 20,
+    padding: "2px 10px",
+  },
+  searchRow: {
+    display: "flex",
+    alignItems: "center",
+    gap: 8,
+    background: C.bg,
+    border: `1px solid ${C.border}`,
+    borderRadius: 8,
+    padding: "8px 12px",
+    marginBottom: 10,
+  },
+  searchIcon: { fontSize: 13, opacity: 0.5, flexShrink: 0 },
+  searchInput: {
+    background: "none",
+    border: "none",
+    outline: "none",
+    color: C.text,
+    fontSize: 13,
+    flex: 1,
+  },
+  selectAllRow: {
+    marginBottom: 8,
+    paddingBottom: 8,
+    borderBottom: `1px solid ${C.border}`,
+  },
+  checkLabel: {
+    display: "flex",
+    alignItems: "center",
+    gap: 8,
+    cursor: "pointer",
+  },
+  hiddenCheck: { display: "none" },
+  customCheck: {
+    width: 16,
+    height: 16,
+    border: `1.5px solid ${C.borderLight}`,
+    borderRadius: 4,
+    display: "flex",
+    alignItems: "center",
+    justifyContent: "center",
+    fontSize: 10,
+    fontWeight: 700,
+    flexShrink: 0,
+    transition: "all 0.15s",
+  },
+  customCheckChecked: {
+    background: C.accent,
+    borderColor: C.accent,
+    color: "#fff",
+  },
+  checkLabelText: { fontSize: 13, color: C.textDim },
+  companyList: { display: "flex", flexDirection: "column", gap: 2 },
+  companyRow: {
+    display: "flex",
+    alignItems: "center",
+    gap: 10,
+    padding: "8px 10px",
+    borderRadius: 7,
+    cursor: "pointer",
+    border: `1px solid transparent`,
+    transition: "all 0.15s",
+  },
+  companyRowChecked: {
+    background: C.accentSoft,
+    border: `1px solid rgba(59,130,246,0.2)`,
+  },
+  companyAvatar: {
+    width: 28,
+    height: 28,
+    borderRadius: 6,
+    background: `linear-gradient(135deg, #1e3a5f, #2d5a8e)`,
+    display: "flex",
+    alignItems: "center",
+    justifyContent: "center",
+    fontSize: 10,
+    fontWeight: 700,
+    color: "#7fb3e8",
+    flexShrink: 0,
+  },
+  companyName: { fontSize: 13, flex: 1, fontWeight: 450 },
+  showMoreBtn: {
+    marginTop: 12,
+    background: "none",
+    border: `1px dashed ${C.borderLight}`,
+    color: C.textMuted,
+    borderRadius: 7,
+    padding: "8px 14px",
+    fontSize: 12,
+    cursor: "pointer",
+    width: "100%",
+    transition: "all 0.15s",
+  },
+  modeToggle: {
+    display: "flex",
+    gap: 6,
+    marginBottom: 14,
+    background: C.bg,
+    borderRadius: 8,
+    padding: 4,
+  },
+  modeBtn: {
+    flex: 1,
+    background: "none",
+    border: "none",
+    color: C.textMuted,
+    borderRadius: 5,
+    padding: "7px 10px",
+    fontSize: 12,
+    cursor: "pointer",
+    fontWeight: 500,
+    transition: "all 0.15s",
+  },
+  modeBtnActive: {
+    background: C.surfaceHover,
+    color: C.text,
+    boxShadow: `0 1px 3px rgba(0,0,0,0.3)`,
+  },
+  sectionGrid: {
+    display: "grid",
+    gridTemplateColumns: "1fr 1fr",
+    gap: 8,
+  },
+  sectionChip: {
+    display: "flex",
+    flexDirection: "column",
+    alignItems: "flex-start",
+    padding: "10px 12px",
+    borderRadius: 8,
+    border: `1px solid ${C.border}`,
+    background: C.bg,
+    cursor: "pointer",
+    transition: "all 0.15s",
+    textAlign: "left",
+    gap: 3,
+  },
+  sectionChipActive: {
+    background: C.accentSoft,
+    border: `1px solid rgba(59,130,246,0.35)`,
+  },
+  sectionCode: {
+    fontSize: 13,
+    fontWeight: 800,
+    color: C.accent,
+    letterSpacing: "0.3px",
+  },
+  sectionLabel: { fontSize: 10.5, color: C.textMuted, lineHeight: 1.3 },
+  yearGrid: {
+    display: "flex",
+    gap: 8,
+    flexWrap: "wrap",
+  },
+  yearChip: {
+    padding: "8px 18px",
+    borderRadius: 7,
+    border: `1px solid ${C.border}`,
+    background: C.bg,
+    color: C.textDim,
+    fontSize: 13,
+    fontWeight: 600,
+    cursor: "pointer",
+    transition: "all 0.15s",
+  },
+  yearChipActive: {
+    background: C.goldSoft,
+    border: `1px solid rgba(245,158,11,0.35)`,
+    color: C.gold,
+  },
+  perCompanyList: { display: "flex", flexDirection: "column", gap: 12 },
+  perCompanyRow: {
+    display: "flex",
+    alignItems: "center",
+    gap: 10,
+    flexWrap: "wrap",
+  },
+  perCompanyBlock: {
+    background: C.bg,
+    borderRadius: 8,
+    padding: "10px 12px",
+    border: `1px solid ${C.border}`,
+  },
+  perCompanyHeader: {
+    display: "flex",
+    alignItems: "center",
+    gap: 8,
+    marginBottom: 10,
+  },
+  perCompanyAvatar: {
+    width: 24,
+    height: 24,
+    borderRadius: 5,
+    background: `linear-gradient(135deg, #1e3a5f, #2d5a8e)`,
+    display: "flex",
+    alignItems: "center",
+    justifyContent: "center",
+    fontSize: 9,
+    fontWeight: 700,
+    color: "#7fb3e8",
+    flexShrink: 0,
+  },
+  perCompanyName: { fontSize: 12, color: C.textDim, fontWeight: 500 },
+  miniYearRow: { display: "flex", gap: 5, flexWrap: "wrap" },
+  miniYearChip: {
+    padding: "4px 10px",
+    borderRadius: 5,
+    border: `1px solid ${C.border}`,
+    background: "none",
+    color: C.textMuted,
+    fontSize: 11,
+    cursor: "pointer",
+    fontWeight: 600,
+    transition: "all 0.15s",
+  },
+  miniYearChipActive: {
+    background: C.goldSoft,
+    borderColor: "rgba(245,158,11,0.35)",
+    color: C.gold,
+  },
+  miniSectionGrid: { display: "flex", gap: 5, flexWrap: "wrap" },
+  miniSectionChip: {
+    padding: "4px 9px",
+    borderRadius: 5,
+    border: `1px solid ${C.border}`,
+    background: "none",
+    color: C.textMuted,
+    fontSize: 11,
+    fontWeight: 700,
+    cursor: "pointer",
+    transition: "all 0.15s",
+    letterSpacing: "0.3px",
+  },
+  miniSectionChipActive: {
+    background: C.accentSoft,
+    borderColor: "rgba(59,130,246,0.35)",
+    color: C.accent,
+  },
+  promptWrapper: {
+    background: C.bg,
+    border: `1px solid ${C.border}`,
+    borderRadius: 8,
+    overflow: "hidden",
+    transition: "border-color 0.15s",
+  },
+  promptInput: {
+    width: "100%",
+    background: "none",
+    border: "none",
+    outline: "none",
+    color: C.text,
+    fontSize: 13,
+    padding: "12px 14px",
+    resize: "none",
+    fontFamily: "inherit",
+    lineHeight: 1.6,
+    boxSizing: "border-box",
+  },
+  promptFooter: {
+    display: "flex",
+    justifyContent: "space-between",
+    alignItems: "center",
+    padding: "6px 12px",
+    borderTop: `1px solid ${C.border}`,
+  },
+  promptHint: { fontSize: 11, color: C.textMuted },
+  clearBtn: {
+    background: "none",
+    border: "none",
+    color: C.textMuted,
+    fontSize: 11,
+    cursor: "pointer",
+    padding: "2px 6px",
+  },
+  summaryCard: {
+    background: `linear-gradient(135deg, rgba(59,130,246,0.06), rgba(16,185,129,0.06))`,
+    border: `1px solid rgba(59,130,246,0.2)`,
+    borderRadius: 12,
+    padding: "16px 20px",
+  },
+  summaryTitle: {
+    fontSize: 12,
+    fontWeight: 700,
+    color: C.textMuted,
+    textTransform: "uppercase",
+    letterSpacing: "1px",
+    margin: "0 0 14px",
+  },
+  summaryGrid: { display: "flex", gap: 0 },
+  summaryItem: {
+    flex: 1,
+    display: "flex",
+    flexDirection: "column",
+    alignItems: "center",
+    gap: 3,
+    borderRight: `1px solid ${C.border}`,
+    padding: "0 10px",
+  },
+  summaryNum: { fontSize: 28, fontWeight: 800, color: C.accent, lineHeight: 1 },
+  summaryItemLabel: { fontSize: 11, color: C.textMuted },
+};
+
+export const cssString = `
+  @import url('https://fonts.googleapis.com/css2?family=DM+Sans:wght@400;500;600;700;800&display=swap');
+  * { box-sizing: border-box; }
+  body { margin: 0; }
+  ::-webkit-scrollbar { width: 5px; height: 5px; }
+  ::-webkit-scrollbar-track { background: transparent; }
+  ::-webkit-scrollbar-thumb { background: #252a38; border-radius: 99px; }
+  .nav-btn:hover { background: #1c2030 !important; color: #9aa3bc !important; }
+  .company-row:hover { background: #1c2030 !important; }
+  .section-chip:hover { background: #1c2030 !important; }
+  .extract-btn:hover { opacity: 0.9; transform: translateY(-1px); }
+`;

04 - Scripts/sfcr-app/vite.config.js

@@ -0,0 +1,7 @@
+import { defineConfig } from 'vite'
+import react from '@vitejs/plugin-react'
+
+// https://vite.dev/config/
+export default defineConfig({
+  plugins: [react()],
+})

04 - Scripts/test_luncher.py

@@ -0,0 +1,35 @@
+import os
+import sys
+import subprocess
+from pathlib import Path
+
+# On récupère le chemin absolu du dossier actuel
+current_dir = Path(__file__).resolve().parent
+main_path = current_dir / "main.py"
+
+print(f"--- DIAGNOSTIC ---")
+print(f"Dossier actuel : {current_dir}")
+print(f"Chemin de main.py : {main_path}")
+print(f"Est-ce que main.py existe ? : {main_path.exists()}")
+print(f"Interpréteur Python utilisé : {sys.executable}")
+print(f"------------------\n")
+
+print("Tentative de lancement de main.py...")
+
+try:
+    # On lance main.py et on attend qu'il finisse
+    result = subprocess.run(
+        [sys.executable, str(main_path)],
+        capture_output=True,
+        text=True,
+        cwd=str(current_dir)
+    )
+
+    print("--- RÉSULTAT DU LANCEMENT ---")
+    print(f"Code de sortie (0 = OK) : {result.returncode}")
+    print(f"Sortie standard (STDOUT) :\n{result.stdout}")
+    print(f"Erreurs (STDERR) :\n{result.stderr}")
+    print("-----------------------------")
+
+except Exception as e:
+    print(f"ERREUR lors de l'exécution : {e}")

04 - Scripts/tools.py

@@ -0,0 +1,42 @@
+import os
+import pandas as pd
+from langchain_core.tools import tool
+
+@tool
+def excel_code_interpreter(code: str, entreprise_name: str):
+    """
+    Exécute du code Python pour générer un tableau Excel.
+    Le fichier sera enregistré dans un dossier au nom de l'entreprise.
+    Arguments:
+    - code: Le code Python à exécuter (doit utiliser pandas).
+    - entreprise_name: Le nom de l'entreprise pour créer le dossier.
+    """
+    import warnings
+    warnings.filterwarnings("ignore")
+    
+    try:
+        # 1. Création du dossier de l'entreprise s'il n'existe pas
+        # On nettoie le nom pour éviter les problèmes de caractères spéciaux
+        folder_path = entreprise_name.replace(" ", "_").strip()
+        if not os.path.exists(folder_path):
+            os.makedirs(folder_path)
+
+        # 2. Préparation du contexte d'exécution
+        # On définit le chemin de sortie par défaut pour l'agent
+        output_file = os.path.join(folder_path, f"Rapport_{folder_path}.xlsx")
+        
+        context = {
+            "pd": pd,
+            "os": os,
+            "output_file": output_file,
+            "result": None
+        }
+
+        # 3. Exécution du code
+        # L'agent doit utiliser 'pd.ExcelWriter(output_file, engine="xlsxwriter")' dans son code
+        exec(code, context)
+        
+        return f"✅ Succès : Code exécuté. Fichier enregistré dans : {output_file}"
+
+    except Exception as e:
+        return f"❌ ERREUR PYTHON : {str(e)}"

04 - Scripts/workflow_agents.py

@@ -0,0 +1,44 @@
+from langgraph.graph import StateGraph, START, END
+
+# ⚠️ Import corrigé (selon version)
+try:
+    from langgraph.prebuilt import ToolNode
+except ImportError:
+    # fallback si ToolNode n'existe pas
+    from langchain_core.runnables import RunnableLambda
+
+    def ToolNode(tools):
+        def run_tools(state):
+            return state  # à adapter si besoin
+        return RunnableLambda(run_tools)
+
+# Assure-toi que ces imports sont corrects
+from Agents import AgentState, agent_extracteur, agent_builder, agent_ocr, tools
+
+workflow = StateGraph(AgentState)
+
+# 1. Définition des Nœuds
+workflow.add_node("agent_ocr", agent_ocr)
+workflow.add_node("agent_extracteur", agent_extracteur)
+workflow.add_node("agent_builder", agent_builder)
+workflow.add_node("tools", ToolNode(tools))
+
+# 2. Définition des Arêtes
+workflow.add_edge(START, "agent_ocr")
+workflow.add_edge("agent_ocr", "agent_extracteur")
+workflow.add_edge("agent_extracteur", "agent_builder")
+
+
+workflow.add_edge("tools",END)
+
+
+# 5. Compilation
+app = workflow.compile() 
+
+# 6. Graph
+try:
+    with open("graph_workflow.png", "wb") as f:
+        f.write(app.get_graph().draw_mermaid_png())
+    print(" Graphique du workflow généré sous : graph_workflow.png")
+except Exception as e:
+    print(f" Erreur génération image : {e}")