import pandas as pd
import json
from pathlib import Path

# Configuration
CSV_FILE = "guias.csv"
OUTPUT_DIR = "json_output"
ENCODING = "utf-8"

# Create output directory
Path(OUTPUT_DIR).mkdir(exist_ok=True)

# Read CSV
df = pd.read_csv(CSV_FILE, encoding=ENCODING)

# Convert each row to JSON, skipping row 2 (index 1)
for index, row in df.iterrows():
    # Skip the second row (index 1)
    if index == 0:
        print(f"⊗ Skipped row {index + 1}")
        continue
    
    # Save to individual JSON file
    output_file = f"{OUTPUT_DIR}/row_{index + 1}.json"
    with open(output_file, 'w', encoding=ENCODING) as json_file:
        json.dump(row.to_dict(), json_file, indent=2, ensure_ascii=False)
    
    print(f"✓ Created {output_file}")

print(f"\nDone! Created {len(df) - 1} JSON files in '{OUTPUT_DIR}/' directory")