"""
Deep diagnostic to find where stress data is hiding in the OP2 file.
"""

from pathlib import Path
from pyNastran.op2.op2 import OP2

op2_path = Path("examples/bracket/bracket_sim1-solution_1.op2")

print("="*60)
print("DEEP OP2 STRESS DIAGNOSTIC")
print("="*60)
print(f"File: {op2_path}")
print()

op2 = OP2()
op2.read_op2(str(op2_path))

# List ALL attributes that might contain stress
print("--- SEARCHING FOR STRESS DATA ---")
print()

# Check all attributes
all_attrs = dir(op2)
stress_related = [attr for attr in all_attrs if 'stress' in attr.lower() or 'oes' in attr.lower()]

print("Attributes with 'stress' or 'oes' in name:")
for attr in stress_related:
    obj = getattr(op2, attr, None)
    if obj and not callable(obj):
        print(f"  {attr}: {type(obj)}")
        if hasattr(obj, 'keys'):
            print(f"    Keys: {list(obj.keys())}")
            if obj:
                first_key = list(obj.keys())[0]
                first_obj = obj[first_key]
                print(f"    First item type: {type(first_obj)}")
                if hasattr(first_obj, 'data'):
                    print(f"    Data shape: {first_obj.data.shape}")
                    print(f"    Data type: {first_obj.data.dtype}")
                if hasattr(first_obj, '__dict__'):
                    attrs = [a for a in dir(first_obj) if not a.startswith('_')]
                    print(f"    Available methods/attrs: {attrs[:10]}...")

print()
print("--- CHECKING STANDARD STRESS TABLES ---")

standard_tables = [
    'cquad4_stress',
    'ctria3_stress',
    'ctetra_stress',
    'chexa_stress',
    'cpenta_stress',
    'cbar_stress',
    'cbeam_stress',
]

for table_name in standard_tables:
    if hasattr(op2, table_name):
        table = getattr(op2, table_name)
        print(f"\n{table_name}:")
        print(f"  Exists: {table is not None}")
        print(f"  Type: {type(table)}")
        print(f"  Bool: {bool(table)}")

        if table:
            print(f"  Keys: {list(table.keys())}")
            if table.keys():
                first_key = list(table.keys())[0]
                data = table[first_key]
                print(f"  Data type: {type(data)}")
                print(f"  Data shape: {data.data.shape if hasattr(data, 'data') else 'No data attr'}")

                # Try to inspect the data object
                if hasattr(data, 'data'):
                    print(f"  Data min: {data.data.min():.6f}")
                    print(f"  Data max: {data.data.max():.6f}")

                    # Show column-wise max
                    if len(data.data.shape) == 3:
                        print(f"  Column-wise max values:")
                        for col in range(data.data.shape[2]):
                            col_max = data.data[0, :, col].max()
                            col_min = data.data[0, :, col].min()
                            print(f"    Column {col}: min={col_min:.6f}, max={col_max:.6f}")

print()
print("="*60)