export_utils.py

# export_utils.py
# Klasa do eksportu wyników analizy do TXT i Word

import streamlit as st
from docx import Document
from docx.shared import Inches
from datetime import datetime
import io

class ExportManager:
    
    def __init__(self):
        self.timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
    
    def prepare_export_content(self, concept_description, analysis_results, selected_personas=None, custom_target=None):
        """
        Przygotowuje sformatowaną treść do eksportu
        """
        content = f"""
ANALIZA KONCEPCJI REKLAMOWEJ/PRODUKTOWEJ
========================================

Data analizy: {datetime.now().strftime("%d.%m.%Y %H:%M")}

OPIS KONCEPCJI:
{concept_description}

ANALIZOWANE GRUPY DOCELOWE:
"""
        
        if selected_personas:
            content += f"- Wybrane persony: {', '.join(selected_personas)}\n"
        
        if custom_target:
            content += f"- Własna grupa docelowa: {custom_target}\n"
        
        content += f"""

WYNIKI ANALIZY:
===============

{analysis_results}

---
Wygenerowano przez Market Research AI
Powered by DeepSeek
"""
        
        return content
    
    def export_to_txt(self, concept_description, analysis_results, selected_personas=None, custom_target=None):
        """
        Eksportuje wyniki do pliku TXT
        """
        try:
            content = self.prepare_export_content(concept_description, analysis_results, selected_personas, custom_target)
            
            # Tworzenie bufora do pobrania
            txt_buffer = io.StringIO()
            txt_buffer.write(content)
            txt_content = txt_buffer.getvalue()
            
            return txt_content, f"analiza_rynku_{self.timestamp}.txt"
            
        except Exception as e:
            st.error(f"Błąd podczas eksportu do TXT: {str(e)}")
            return None, None
    
    def export_to_word(self, concept_description, analysis_results, selected_personas=None, custom_target=None):
        """
        Eksportuje wyniki do dokumentu Word
        """
        try:
            # Tworzenie nowego dokumentu Word
            doc = Document()
            
            # Tytuł
            title = doc.add_heading('ANALIZA KONCEPCJI REKLAMOWEJ/PRODUKTOWEJ', 0)
            title.alignment = 1  # Wyśrodkowanie
            
            # Data
            doc.add_paragraph(f"Data analizy: {datetime.now().strftime('%d.%m.%Y %H:%M')}")
            doc.add_paragraph("")  # Pusta linia
            
            # Opis koncepcji
            doc.add_heading('OPIS KONCEPCJI:', level=1)
            doc.add_paragraph(concept_description)
            doc.add_paragraph("")
            
            # Analizowane grupy
            doc.add_heading('ANALIZOWANE GRUPY DOCELOWE:', level=1)
            
            if selected_personas:
                p = doc.add_paragraph("Wybrane persony: ")
                p.add_run(', '.join(selected_personas)).bold = True
            
            if custom_target:
                p = doc.add_paragraph("Własna grupa docelowa: ")
                p.add_run(custom_target).bold = True
            
            doc.add_paragraph("")
            
            # Wyniki analizy
            doc.add_heading('WYNIKI ANALIZY:', level=1)
            
            # Podział wyników na sekcje dla lepszej czytelności
            results_lines = analysis_results.split('\n')
            current_paragraph = ""
            
            for line in results_lines:
                if line.strip().startswith('**') and line.strip().endswith('**'):
                    # To jest nagłówek persony
                    if current_paragraph:
                        doc.add_paragraph(current_paragraph)
                        current_paragraph = ""
                    
                    # Dodaj nagłówek persony
                    persona_name = line.strip().replace('**', '')
                    doc.add_heading(persona_name, level=2)
                    
                elif line.strip().startswith('**') and ':' in line:
                    # To jest podsekcja (Co myślę, Co czuję, Co zrobię)
                    if current_paragraph:
                        doc.add_paragraph(current_paragraph)
                        current_paragraph = ""
                    
                    subsection = line.strip().replace('**', '')
                    p = doc.add_paragraph()
                    p.add_run(subsection).bold = True
                    
                elif line.strip() == '---':
                    # Separator
                    if current_paragraph:
                        doc.add_paragraph(current_paragraph)
                        current_paragraph = ""
                    doc.add_paragraph("")
                    
                else:
                    # Zwykły tekst
                    if line.strip():
                        current_paragraph += line + "\n"
                    else:
                        if current_paragraph:
                            doc.add_paragraph(current_paragraph.strip())
                            current_paragraph = ""
                        doc.add_paragraph("")
            
            # Dodaj ostatni paragraph jeśli istnieje
            if current_paragraph:
                doc.add_paragraph(current_paragraph.strip())
            
            # Stopka
            doc.add_paragraph("")
            footer = doc.add_paragraph("---")
            footer.add_run("\nWygenerowano przez Market Research AI").italic = True
            footer.add_run("\nPowered by DeepSeek").italic = True
            
            # Zapisanie do bufora
            doc_buffer = io.BytesIO()
            doc.save(doc_buffer)
            doc_buffer.seek(0)
            
            return doc_buffer.getvalue(), f"analiza_rynku_{self.timestamp}.docx"
            
        except Exception as e:
            st.error(f"Błąd podczas eksportu do Word: {str(e)}")
            return None, None
    
    def create_download_buttons(self, concept_description, analysis_results, selected_personas=None, custom_target=None):
        """
        Tworzy przyciski do pobrania plików w Streamlit
        """
        col1, col2 = st.columns(2)
        
        with col1:
            # Export do TXT
            txt_content, txt_filename = self.export_to_txt(
                concept_description, analysis_results, selected_personas, custom_target
            )
            
            if txt_content:
                st.download_button(
                    label="📄 Pobierz jako TXT",
                    data=txt_content,
                    file_name=txt_filename,
                    mime="text/plain"
                )
        
        with col2:
            # Export do Word
            word_content, word_filename = self.export_to_word(
                concept_description, analysis_results, selected_personas, custom_target
            )
            
            if word_content:
                st.download_button(
                    label="📝 Pobierz jako Word",
                    data=word_content,
                    file_name=word_filename,
                    mime="application/vnd.openxmlformats-officedocument.wordprocessingml.document"
                )

# Test modułu
if __name__ == "__main__":
    print("Export Utils - moduł testowy")
    export_manager = ExportManager()
    print(f"Timestamp: {export_manager.timestamp}")