import pandas as pd
import matplotlib.pyplot as plt
import numpy as np

from config import DATA_PROCESSED, FIGURES

# Load data
trained_distances = pd.read_csv(DATA_PROCESSED / 'trained_distances.csv')
untrained_distances = pd.read_csv(DATA_PROCESSED / 'untrained_distances.csv')

# Remove NaN distances and filter for first 200 seconds
trained_clean = trained_distances.dropna(subset=['distance'])
untrained_clean = untrained_distances.dropna(subset=['distance'])

trained_filtered = trained_clean[trained_clean['t'] <= 200000]
untrained_filtered = untrained_clean[untrained_clean['t'] <= 200000]

# Calculate average distance over time
trained_avg = trained_filtered.groupby('t')['distance'].mean()
untrained_avg = untrained_filtered.groupby('t')['distance'].mean()

# Apply smoothing
window_size = 50
trained_smooth = trained_avg.rolling(window=window_size, center=True).mean()
untrained_smooth = untrained_avg.rolling(window=window_size, center=True).mean()

# Create the plot
plt.figure(figsize=(12, 6))

plt.plot(trained_smooth.index/1000, trained_smooth.values,
         label='Trained (smoothed)', color='blue', linewidth=2)
plt.plot(untrained_smooth.index/1000, untrained_smooth.values,
         label='Untrained (smoothed)', color='red', linewidth=2)

plt.xlabel('Time (seconds)')
plt.ylabel('Average Distance')
plt.title('Average Distance Between Flies Over Time (First 200 Seconds)')
plt.legend()
plt.grid(True, alpha=0.3)

plt.tight_layout()
plt.savefig(FIGURES / 'avg_distance_over_time_first_200s.png', dpi=300, bbox_inches='tight')
plt.show()

print("Trained flies (first 200 seconds):")
print(f"  Mean distance: {trained_filtered['distance'].mean():.2f}")
print(f"  Std distance: {trained_filtered['distance'].std():.2f}")

print("\nUntrained flies (first 200 seconds):")
print(f"  Mean distance: {untrained_filtered['distance'].mean():.2f}")
print(f"  Std distance: {untrained_filtered['distance'].std():.2f}")