#************************************

@app.route('/api/split-file', methods=['POST'])
def split_from_file():
 # Mostra sempre il corpo ricevuto grezzo
    #raw_input = request.get_data(as_text=True)
    #print("📥 Corpo ricevuto (raw):", raw_input, flush=True)
	
    try:
        # Verifica se il file è presente
        if 'file' not in request.files:
            return jsonify({"error": "File mancante"}), 400
        
        file = request.files['file']
        category = request.headers.get('category', 'uncategorized')
        environment = request.form.get('environment', 'default_env')

        # Salva temporaneamente il file
        filename = secure_filename(file.filename)
        temp_path = os.path.join("/tmp", filename)
        file.save(temp_path)

        # Leggi e normalizza il contenuto
        with open(temp_path, "r", encoding="utf-8") as f:
            input_text = f.read()

        input_text = normalize_text(input_text)

        # Rimuove il file temporaneo
        os.remove(temp_path)

        # Crea documento
        doc = Document(page_content=input_text, metadata={"environment": environment})

        # Segmenta
        splitter = RecursiveCharacterTextSplitter(
            chunk_size=1000,
            chunk_overlap=200,
            separators=["\n\n", "\n", ".", " ", ""]
        )

        chunks = splitter.split_documents([doc])

        result = []
        for i, chunk in enumerate(chunks):
            cleaned_text = chunk.page_content \
                .replace('\n', ' ') \
                .replace('\r', ' ') \
                .replace('[', '') \
                .replace(']', '')
            result.append({
                "_id": f"rec{i+1}",
                "text": cleaned_text.strip(),
                "category": category
            })

        

        # Restituisce lo stesso contenuto come NDJSON
        ndjson_output = '\n'.join(json.dumps(item, ensure_ascii=False) for item in result)
        return app.response_class(ndjson_output, content_type='application/json')

    except Exception as e:
        return jsonify({"error": str(e)}), 500





#***************************************