import os
import pickle
import pandas as pd
import numpy as np

BASE_DIR = r"d:\backmind_os\batchmind_os\data\processed"
files = [
    "process_clean.pkl",
    "phase_stats.pkl",
    "physics_features.pkl",
    "chronos_embeddings.pkl",
    "X_final.pkl",
    "production_clean.pkl"
]

for f in files:
    path = os.path.join(BASE_DIR, f)
    if not os.path.exists(path):
        print(f"{f}: MISSING")
        continue
    try:
        with open(path, "rb") as f_in:
            data = pickle.load(f_in)
        if hasattr(data, "shape"):
            print(f"{f}: {data.shape}")
        else:
            print(f"{f}: {type(data).__name__}")
    except Exception as e:
        print(f"{f}: ERROR {str(e)}")