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"""
Caricamento dataset CSV - The_Stack_Processed-v2
"""
import csv
import os
import json
def load_csv_dataset(data_path=".", language_filter=None, max_files=None):
"""
Carica dataset da file CSV
Args:
data_path: Path ai file CSV
language_filter: Lista linguaggi da includere
max_files: Numero massimo di file da caricare
Returns:
Lista di record
"""
print("🔄 Caricamento dataset CSV...")
# Trova file CSV
csv_files = sorted([f for f in os.listdir(data_path) if f.endswith('.csv')])
print(f"📁 Trovati {len(csv_files)} file CSV")
all_records = []
loaded_files = 0
for csv_file in csv_files:
print(f"📂 Caricando {csv_file}")
with open(os.path.join(data_path, csv_file), 'r', encoding='utf-8') as f:
reader = csv.DictReader(f)
for record in reader:
# Filtro per linguaggio
if language_filter and record['language'] not in language_filter:
continue
# Ripristina newlines
record['content'] = record['content'].replace('\\n', '\n').replace('\\r', '\r')
# Converti tipi
record['size_bytes'] = int(record['size_bytes'])
record['quality_score'] = float(record['quality_score'])
record['complexity'] = float(record['complexity'])
record['documentation_ratio'] = float(record['documentation_ratio'])
record['stars'] = int(record['stars'])
record['is_test'] = record['is_test'].lower() == 'true'
all_records.append(record)
loaded_files += 1
# Limite file se specificato
if max_files and loaded_files >= max_files:
break
if max_files and loaded_files >= max_files:
break
print(f"✅ Caricati {len(all_records)} record")
return all_records
def get_language_stats(data_path="."):
"""Statistiche linguaggi"""
info_file = os.path.join(data_path, "dataset_info.json")
if os.path.exists(info_file):
with open(info_file, 'r') as f:
info = json.load(f)
return info.get('languages', {})
return {}
def load_sample(data_path=".", n_samples=10, language=None):
"""Carica campione veloce"""
return load_csv_dataset(data_path,
language_filter=[language] if language else None,
max_files=n_samples)
# Esempio
if __name__ == "__main__":
print("📊 Statistiche linguaggi:")
stats = get_language_stats()
for lang, count in sorted(stats.items(), key=lambda x: x[1], reverse=True)[:10]:
print(f" {lang}: {count:,}")
print("\n🚀 Per caricare dataset:")
print(" records = load_csv_dataset()")
print("\n🎯 Solo Python:")
print(" records = load_csv_dataset(language_filter=['Python'])")
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