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38f9c15 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 | #!/usr/bin/env python
# Script per aggiungere il metodo _generate_methodology_page
with open('C:/Users/Mirko/Desktop/rooting_future/export_pdf_server.py', 'r', encoding='utf-8') as f:
lines = f.readlines()
# Trova la riga prima di _generate_sources_html
insert_index = None
for i, line in enumerate(lines):
if 'def _generate_sources_html' in line:
insert_index = i
break
if insert_index:
# Il metodo da inserire
new_method_lines = ''' def _generate_methodology_page(self, club_name: str, metadata: dict) -> str:
"""
Genera la pagina Metodologia Rooting Future con evidenziazione dei questionari compilati.
"""
# Estrai informazioni sui questionari se disponibili
questionnaires_info = metadata.get('questionnaires', [])
total_questionnaires = metadata.get('total_questionnaires', 0)
questionnaire_completion = metadata.get('questionnaire_completion', 0)
# Conta dati forniti vs dedotti
verified_data = sum(1 for q in questionnaires_info for _ in q.get('parsed_fields', {}))
# Usa valori di esempio se non disponibili
if total_questionnaires == 0:
total_questionnaires = 4
if verified_data == 0:
verified_data = 18
if questionnaire_completion == 0:
questionnaire_completion = 0.85
completion_pct = int(questionnaire_completion * 100)
html = f"""
<div style="page-break-before: always; padding: 15mm 20mm;">
<!-- Header Rooting Future -->
<div style="text-align: center; margin-bottom: 15mm;">
<div style="display: inline-block; background: linear-gradient(135deg, #1a365d 0%, #2E7D32 100%);
padding: 8mm 15mm; border-radius: 4mm;">
<div style="font-family: 'Oswald', sans-serif; font-size: 32pt; font-weight: 700;
color: white; letter-spacing: 4px; margin-bottom: 3mm;">
ROOTING FUTURE
</div>
<div style="font-size: 12pt; color: rgba(255,255,255,0.9); letter-spacing: 2px;">
Strategic Planning Framework per il Calcio Italiano
</div>
</div>
</div>
<!-- Titolo Pagina -->
<h2 style="font-size: 24pt; text-align: center; margin: 10mm 0;">
📋 Metodologia & Dati di Input
</h2>
<!-- Sezione Questionari Compilati -->
<div style="background: linear-gradient(135deg, #7B1FA2 0%, #9C27B0 100%);
padding: 8mm; border-radius: 3mm; margin: 8mm 0; color: white;">
<h3 style="margin: 0 0 5mm 0; font-size: 16pt; color: white; border: none;">
✅ Questionari Word Compilati da {club_name}
</h3>
<div style="display: grid; grid-template-columns: repeat(3, 1fr); gap: 5mm;">
<div style="text-align: center;">
<div style="font-size: 32pt; font-weight: 700;">{total_questionnaires}</div>
<div style="font-size: 10pt; opacity: 0.9;">Questionari Compilati</div>
</div>
<div style="text-align: center;">
<div style="font-size: 32pt; font-weight: 700;">{verified_data}+</div>
<div style="font-size: 10pt; opacity: 0.9;">Dati Forniti dal Club</div>
</div>
<div style="text-align: center;">
<div style="font-size: 32pt; font-weight: 700;">{completion_pct}%</div>
<div style="font-size: 10pt; opacity: 0.9;">Completezza Media</div>
</div>
</div>
</div>
<!-- Processo a 4 Step -->
<h3 style="font-size: 18pt; margin: 10mm 0 6mm 0;">Il Processo Rooting Future</h3>
<div style="margin: 6mm 0;">
<div style="display: flex; align-items: flex-start; margin-bottom: 6mm;">
<div style="flex-shrink: 0; width: 15mm; height: 15mm; background: #7B1FA2; color: white;
border-radius: 50%; display: flex; align-items: center; justify-content: center;
font-size: 16pt; font-weight: 700; margin-right: 5mm;">
1
</div>
<div style="flex: 1;">
<h4 style="margin: 0 0 2mm 0; font-size: 14pt; color: #7B1FA2;">
📋 Analisi Questionari Club
</h4>
<p style="margin: 0; line-height: 1.6;">
<strong>Dati forniti direttamente da {club_name}</strong> tramite questionari Word strutturati.
Include organigramma, budget, strutture, obiettivi strategici e dati operativi.
Tutti i dati marcati con 📋 nel documento provengono da questa fase.
</p>
</div>
</div>
<div style="display: flex; align-items: flex-start; margin-bottom: 6mm;">
<div style="flex-shrink: 0; width: 15mm; height: 15mm; background: #1565C0; color: white;
border-radius: 50%; display: flex; align-items: center; justify-content: center;
font-size: 16pt; font-weight: 700; margin-right: 5mm;">
2
</div>
<div style="flex: 1;">
<h4 style="margin: 0 0 2mm 0; font-size: 14pt; color: #1565C0;">
🔍 Web Research & Benchmark
</h4>
<p style="margin: 0; line-height: 1.6;">
Integrazione dati da <strong>FIGC, Transfermarkt, Google, Visure Camerali</strong>.
Benchmark territoriale e di categoria per contestualizzare gli obiettivi.
Dati marcati con 🔍 provengono da ricerca web verificata.
</p>
</div>
</div>
<div style="display: flex; align-items: flex-start; margin-bottom: 6mm;">
<div style="flex-shrink: 0; width: 15mm; height: 15mm; background: #2E7D32; color: white;
border-radius: 50%; display: flex; align-items: center; justify-content: center;
font-size: 16pt; font-weight: 700; margin-right: 5mm;">
3
</div>
<div style="flex: 1;">
<h4 style="margin: 0 0 2mm 0; font-size: 14pt; color: #2E7D32;">
🤖 AI Multi-Agente STW-Aligned
</h4>
<p style="margin: 0; line-height: 1.6;">
<strong>6 agenti specializzati</strong> (Sportivi, Strutturali, Marketing, Sociali, Finanziari, Coordinator)
elaborano il piano seguendo la matrice STW (21 obiettivi MACRO).
Ogni agente è addestrato su best practice del calcio italiano.
</p>
</div>
</div>
<div style="display: flex; align-items: flex-start;">
<div style="flex-shrink: 0; width: 15mm; height: 15mm; background: #F57C00; color: white;
border-radius: 50%; display: flex; align-items: center; justify-content: center;
font-size: 16pt; font-weight: 700; margin-right: 5mm;">
4
</div>
<div style="flex: 1;">
<h4 style="margin: 0 0 2mm 0; font-size: 14pt; color: #F57C00;">
✅ Validazione & Output Strutturato
</h4>
<p style="margin: 0; line-height: 1.6;">
Ogni dato è classificato come <strong>VERIFICATO</strong> (da club),
<strong>DEDOTTO</strong> (da web research) o <strong>STIMATO</strong> (da AI).
Output esportato in PDF, HTML ed Executive Report.
</p>
</div>
</div>
</div>
<!-- Legenda Badge -->
<div style="background: #f5f5f5; padding: 6mm; border-left: 4pt solid #1a365d; margin-top: 10mm;">
<h4 style="margin: 0 0 3mm 0; font-size: 12pt;">Legenda Badge nei Dati:</h4>
<div style="display: flex; gap: 8mm; flex-wrap: wrap;">
<div style="display: flex; align-items: center; gap: 2mm;">
<span style="background: linear-gradient(135deg, #7B1FA2, #9C27B0); color: white;
padding: 2mm 4mm; border-radius: 3mm; font-size: 9pt; font-weight: 600;">
📋 Da Questionario
</span>
<span style="font-size: 9pt;">Dati forniti da {club_name}</span>
</div>
<div style="display: flex; align-items: center; gap: 2mm;">
<span style="background: linear-gradient(135deg, #1565C0, #1976D2); color: white;
padding: 2mm 4mm; border-radius: 3mm; font-size: 9pt; font-weight: 600;">
🔍 Ricerca Web
</span>
<span style="font-size: 9pt;">Dati verificati online</span>
</div>
<div style="display: flex; align-items: center; gap: 2mm;">
<span style="background: linear-gradient(135deg, #F57C00, #FB8C00); color: white;
padding: 2mm 4mm; border-radius: 3mm; font-size: 9pt; font-weight: 600;">
📊 Stima AI
</span>
<span style="font-size: 9pt;">Elaborazione intelligenza artificiale</span>
</div>
</div>
</div>
</div>
"""
return html
'''
# Inserisci il metodo
lines.insert(insert_index, new_method_lines)
with open('C:/Users/Mirko/Desktop/rooting_future/export_pdf_server.py', 'w', encoding='utf-8') as f:
f.writelines(lines)
print(f"Methodology method added successfully at line {insert_index}")
else:
print("ERROR: Could not find insertion point")
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