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import pandas as pd
import numpy as np
import os
DATA_PATH = "./data/processed/merged_features.csv"
SEQ_LEN = 30
SAVE_PATH = "./test_input.csv"
if not os.path.exists(DATA_PATH):
raise FileNotFoundError(f"❌ Cannot find data file at {DATA_PATH}")
df = pd.read_csv(DATA_PATH)
df = df.select_dtypes(include=[np.number]).dropna()
data = df.values
if len(data) < SEQ_LEN:
raise ValueError(f"❌ Not enough data: Need at least {SEQ_LEN} rows for one input sequence.")
sample = data[:SEQ_LEN]
np.savetxt(SAVE_PATH, sample, delimiter=",")
print(f"✅ Test input saved to: {SAVE_PATH}")
print(f"ℹ️ Shape of saved data: {sample.shape}")
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