import pandas as pd
import numpy as np

# Path to your file
parquet_path = "data/chunk-000/episode_000001.parquet"

# Load the file
print(f"📂 Loading {parquet_path}")
df = pd.read_parquet(parquet_path)

# Show columns
print("\n🧩 All columns in the DataFrame:")
print(df.columns.tolist())

# Print a few rows from observation.image.low
print("\n🔍 Inspecting df['observation.image.low'] (first 3 rows):")
for idx in range(min(3, len(df))):
    item = df["observation.image.low"].iloc[idx]
    print(f"\n--- Row {idx} ---")
    print("Type:", type(item))
    print("Value:", item)

    if isinstance(item, dict):
        print("Dict keys:", item.keys())
        if "low" in item:
            print("  -> low type:", type(item["low"]))
            print("  -> low shape:", np.array(item["low"]).shape)

# Optional: Check full observation column if it exists
if "observation" in df.columns:
    print("\n🧠 Full observation structure from row 0:")
    obs = df["observation"].iloc[0]
    print("Type:", type(obs))
    print("Content:", obs)

print("\n✅ Done inspecting.")