Atomizer/optimization_engine/reporting/results_analyzer.py

"""
Comprehensive Results Analyzer

Performs thorough introspection of OP2, F06, and other Nastran output files
to discover ALL available results, not just what we expect.

This helps ensure we don't miss important data that's actually in the output files.
"""

from pathlib import Path
from typing import Dict, Any, List, Optional
import json
from dataclasses import dataclass, asdict
from pyNastran.op2.op2 import OP2


@dataclass
class OP2Contents:
    """Complete inventory of OP2 file contents."""
    file_path: str
    subcases: List[int]

    # Displacement results
    displacement_available: bool
    displacement_subcases: List[int]

    # Stress results (by element type)
    stress_results: Dict[str, List[int]]  # element_type -> [subcases]

    # Strain results (by element type)
    strain_results: Dict[str, List[int]]

    # Force results
    force_results: Dict[str, List[int]]

    # Other results
    other_results: Dict[str, Any]

    # Grid point forces/stresses
    grid_point_forces: List[int]
    spc_forces: List[int]
    mpc_forces: List[int]

    # Summary
    total_result_types: int
    element_types_with_results: List[str]


@dataclass
class F06Contents:
    """Complete inventory of F06 file contents."""
    file_path: str
    has_displacement: bool
    has_stress: bool
    has_strain: bool
    has_forces: bool
    element_types_found: List[str]
    error_messages: List[str]
    warning_messages: List[str]


class ComprehensiveResultsAnalyzer:
    """
    Analyzes ALL Nastran output files to discover available results.

    This is much more thorough than just checking expected results.
    """

    def __init__(self, output_dir: Path):
        """
        Initialize analyzer.

        Args:
            output_dir: Directory containing Nastran output files (.op2, .f06, etc.)
        """
        self.output_dir = Path(output_dir)

    def analyze_op2(self, op2_file: Path) -> OP2Contents:
        """
        Comprehensively analyze OP2 file contents.

        Args:
            op2_file: Path to OP2 file

        Returns:
            OP2Contents with complete inventory
        """
        print(f"\n[OP2 ANALYSIS] Reading: {op2_file.name}")

        model = OP2()
        model.read_op2(str(op2_file))

        # Discover all subcases
        all_subcases = set()

        # Check displacement
        displacement_available = hasattr(model, 'displacements') and len(model.displacements) > 0
        displacement_subcases = list(model.displacements.keys()) if displacement_available else []
        all_subcases.update(displacement_subcases)

        print(f"  Displacement: {'YES' if displacement_available else 'NO'}")
        if displacement_subcases:
            print(f"    Subcases: {displacement_subcases}")

        # Check ALL stress results by scanning attributes
        stress_results = {}
        element_types_with_stress = []

        # List of known stress attribute names (safer than scanning all attributes)
        stress_attrs = [
            'cquad4_stress', 'ctria3_stress', 'ctetra_stress', 'chexa_stress', 'cpenta_stress',
            'cbar_stress', 'cbeam_stress', 'crod_stress', 'conrod_stress', 'ctube_stress',
            'cshear_stress', 'cbush_stress', 'cgap_stress', 'celas1_stress', 'celas2_stress',
            'celas3_stress', 'celas4_stress'
        ]

        for attr_name in stress_attrs:
            if hasattr(model, attr_name):
                try:
                    stress_obj = getattr(model, attr_name)
                    if isinstance(stress_obj, dict) and len(stress_obj) > 0:
                        element_type = attr_name.replace('_stress', '')
                        subcases = list(stress_obj.keys())
                        stress_results[element_type] = subcases
                        element_types_with_stress.append(element_type)
                        all_subcases.update(subcases)
                        print(f"  Stress [{element_type}]: YES")
                        print(f"    Subcases: {subcases}")
                except Exception as e:
                    # Skip attributes that cause errors
                    pass

        if not stress_results:
            print(f"  Stress: NO stress results found")

        # Check ALL strain results
        strain_results = {}
        strain_attrs = [attr.replace('_stress', '_strain') for attr in stress_attrs]

        for attr_name in strain_attrs:
            if hasattr(model, attr_name):
                try:
                    strain_obj = getattr(model, attr_name)
                    if isinstance(strain_obj, dict) and len(strain_obj) > 0:
                        element_type = attr_name.replace('_strain', '')
                        subcases = list(strain_obj.keys())
                        strain_results[element_type] = subcases
                        all_subcases.update(subcases)
                        print(f"  Strain [{element_type}]: YES")
                        print(f"    Subcases: {subcases}")
                except Exception as e:
                    pass

        if not strain_results:
            print(f"  Strain: NO strain results found")

        # Check ALL force results
        force_results = {}
        force_attrs = [attr.replace('_stress', '_force') for attr in stress_attrs]

        for attr_name in force_attrs:
            if hasattr(model, attr_name):
                try:
                    force_obj = getattr(model, attr_name)
                    if isinstance(force_obj, dict) and len(force_obj) > 0:
                        element_type = attr_name.replace('_force', '')
                        subcases = list(force_obj.keys())
                        force_results[element_type] = subcases
                        all_subcases.update(subcases)
                        print(f"  Force [{element_type}]: YES")
                        print(f"    Subcases: {subcases}")
                except Exception as e:
                    pass

        if not force_results:
            print(f"  Force: NO force results found")

        # Check grid point forces
        grid_point_forces = list(model.grid_point_forces.keys()) if hasattr(model, 'grid_point_forces') else []
        if grid_point_forces:
            print(f"  Grid Point Forces: YES")
            print(f"    Subcases: {grid_point_forces}")
            all_subcases.update(grid_point_forces)

        # Check SPC/MPC forces
        spc_forces = list(model.spc_forces.keys()) if hasattr(model, 'spc_forces') else []
        mpc_forces = list(model.mpc_forces.keys()) if hasattr(model, 'mpc_forces') else []

        if spc_forces:
            print(f"  SPC Forces: YES")
            print(f"    Subcases: {spc_forces}")
            all_subcases.update(spc_forces)

        if mpc_forces:
            print(f"  MPC Forces: YES")
            print(f"    Subcases: {mpc_forces}")
            all_subcases.update(mpc_forces)

        # Check for other interesting results
        other_results = {}
        interesting_attrs = ['eigenvalues', 'eigenvectors', 'thermal_load_vectors',
                           'load_vectors', 'contact', 'glue', 'slide_lines']

        for attr_name in interesting_attrs:
            if hasattr(model, attr_name):
                obj = getattr(model, attr_name)
                if obj and (isinstance(obj, dict) and len(obj) > 0) or (not isinstance(obj, dict)):
                    other_results[attr_name] = str(type(obj))
                    print(f"  {attr_name}: YES")

        # Collect all element types that have any results
        all_element_types = set()
        all_element_types.update(stress_results.keys())
        all_element_types.update(strain_results.keys())
        all_element_types.update(force_results.keys())

        total_result_types = (
            len(stress_results) +
            len(strain_results) +
            len(force_results) +
            (1 if displacement_available else 0) +
            (1 if grid_point_forces else 0) +
            (1 if spc_forces else 0) +
            (1 if mpc_forces else 0) +
            len(other_results)
        )

        print(f"\n  SUMMARY:")
        print(f"    Total subcases: {len(all_subcases)}")
        print(f"    Total result types: {total_result_types}")
        print(f"    Element types with results: {sorted(all_element_types)}")

        return OP2Contents(
            file_path=str(op2_file),
            subcases=sorted(all_subcases),
            displacement_available=displacement_available,
            displacement_subcases=displacement_subcases,
            stress_results=stress_results,
            strain_results=strain_results,
            force_results=force_results,
            other_results=other_results,
            grid_point_forces=grid_point_forces,
            spc_forces=spc_forces,
            mpc_forces=mpc_forces,
            total_result_types=total_result_types,
            element_types_with_results=sorted(all_element_types)
        )

    def analyze_f06(self, f06_file: Path) -> F06Contents:
        """
        Analyze F06 file for available results.

        Args:
            f06_file: Path to F06 file

        Returns:
            F06Contents with inventory
        """
        print(f"\n[F06 ANALYSIS] Reading: {f06_file.name}")

        if not f06_file.exists():
            print(f"  F06 file not found")
            return F06Contents(
                file_path=str(f06_file),
                has_displacement=False,
                has_stress=False,
                has_strain=False,
                has_forces=False,
                element_types_found=[],
                error_messages=[],
                warning_messages=[]
            )

        # Read F06 file
        with open(f06_file, 'r', encoding='latin-1', errors='ignore') as f:
            content = f.read()

        # Search for key sections
        has_displacement = 'D I S P L A C E M E N T' in content
        has_stress = 'S T R E S S E S' in content
        has_strain = 'S T R A I N S' in content
        has_forces = 'F O R C E S' in content

        print(f"  Displacement: {'YES' if has_displacement else 'NO'}")
        print(f"  Stress: {'YES' if has_stress else 'NO'}")
        print(f"  Strain: {'YES' if has_strain else 'NO'}")
        print(f"  Forces: {'YES' if has_forces else 'NO'}")

        # Find element types mentioned
        element_keywords = ['CQUAD4', 'CTRIA3', 'CTETRA', 'CHEXA', 'CPENTA', 'CBAR', 'CBEAM', 'CROD']
        element_types_found = []

        for elem_type in element_keywords:
            if elem_type in content:
                element_types_found.append(elem_type)

        if element_types_found:
            print(f"  Element types: {element_types_found}")

        # Extract errors and warnings
        error_messages = []
        warning_messages = []

        for line in content.split('\n'):
            line_upper = line.upper()
            if 'ERROR' in line_upper or 'FATAL' in line_upper:
                error_messages.append(line.strip())
            elif 'WARNING' in line_upper or 'WARN' in line_upper:
                warning_messages.append(line.strip())

        if error_messages:
            print(f"  Errors found: {len(error_messages)}")
            for err in error_messages[:5]:  # Show first 5
                print(f"    {err}")

        if warning_messages:
            print(f"  Warnings found: {len(warning_messages)}")
            for warn in warning_messages[:5]:  # Show first 5
                print(f"    {warn}")

        return F06Contents(
            file_path=str(f06_file),
            has_displacement=has_displacement,
            has_stress=has_stress,
            has_strain=has_strain,
            has_forces=has_forces,
            element_types_found=element_types_found,
            error_messages=error_messages[:20],  # Keep first 20
            warning_messages=warning_messages[:20]
        )

    def analyze_all(self, op2_pattern: str = "*.op2", f06_pattern: str = "*.f06") -> Dict[str, Any]:
        """
        Analyze all OP2 and F06 files in directory.

        Args:
            op2_pattern: Glob pattern for OP2 files
            f06_pattern: Glob pattern for F06 files

        Returns:
            Dict with complete analysis results
        """
        print("="*80)
        print("COMPREHENSIVE NASTRAN RESULTS ANALYSIS")
        print("="*80)
        print(f"\nDirectory: {self.output_dir}")

        results = {
            'directory': str(self.output_dir),
            'op2_files': [],
            'f06_files': []
        }

        # Find and analyze all OP2 files
        op2_files = list(self.output_dir.glob(op2_pattern))
        print(f"\nFound {len(op2_files)} OP2 file(s)")

        for op2_file in op2_files:
            op2_contents = self.analyze_op2(op2_file)
            results['op2_files'].append(asdict(op2_contents))

        # Find and analyze all F06 files
        f06_files = list(self.output_dir.glob(f06_pattern))
        print(f"\nFound {len(f06_files)} F06 file(s)")

        for f06_file in f06_files:
            f06_contents = self.analyze_f06(f06_file)
            results['f06_files'].append(asdict(f06_contents))

        print("\n" + "="*80)
        print("ANALYSIS COMPLETE")
        print("="*80)

        return results


if __name__ == '__main__':
    import sys

    if len(sys.argv) > 1:
        output_dir = Path(sys.argv[1])
    else:
        output_dir = Path.cwd()

    analyzer = ComprehensiveResultsAnalyzer(output_dir)
    results = analyzer.analyze_all()

    # Save results to JSON
    output_file = output_dir / "comprehensive_results_analysis.json"
    with open(output_file, 'w', encoding='utf-8') as f:
        json.dump(results, f, indent=2)

    print(f"\nResults saved to: {output_file}")