import json
import pandas as pd

# 1. Load metadata
metadata = pd.read_csv('../metadata.csv')

# 2. Load patient data via manifest
with open('../data/manifest.json', 'r') as f:
    manifest = json.load(f)

# 3. Load a specific patient
patient_id = 1
entry = next(e for e in manifest['files'] if e['patient_id'] == patient_id)
with open(f"../data/{entry['file']}", 'r') as f:
    patient_data = json.load(f)

# 4. Extract eNose signals
for sensor in patient_data['sensors']:
    if sensor['id'] == 'enose':
        for channel in sensor['channels']:
            print(f"{channel['id']}: {len(channel['samples'])} samples")