"""TNFR Educational Case Studies - Pedagogical Application Examples.

This module presents detailed pedagogical case studies demonstrating how
TNFR structural patterns apply to real learning scenarios:

1. Mathematics learning - Concrete → Abstract → Application
2. Language acquisition - Immersion → Pattern recognition → Fluency
3. Scientific method - Hypothesis → Experiment → Theory revision
4. Skill mastery - Practice → Feedback → Refinement cycles
5. Creative writing - Inspiration → Structure → Revision → Publication

Each case includes:
- Learning context and current level
- TNFR structural interpretation
- Operator sequence selection rationale
- Expected learning outcomes and metrics
- Pedagogical considerations
"""

from tnfr.operators.grammar import validate_sequence_with_health
from tnfr.operators.health_analyzer import SequenceHealthAnalyzer
from tnfr.config.operator_names import (
    COHERENCE,
    CONTRACTION,
    COUPLING,
    DISSONANCE,
    EMISSION,
    EXPANSION,
    MUTATION,
    RECEPTION,
    RECURSIVITY,
    RESONANCE,
    SELF_ORGANIZATION,
    SILENCE,
    TRANSITION,
)


# =============================================================================
# CASE STUDY 1: MATHEMATICS LEARNING
# =============================================================================


def case_mathematics_learning():
    """Case Study: Learning calculus through conceptual breakthrough.
    
    Learning Context
    ----------------
    Student: 17-year-old high school student learning calculus for first time.
    Strong algebra skills, struggling with the concept of limits and derivatives.
    Understands procedures but not underlying concepts.
    
    Learning Goal
    ----------------
    Achieve conceptual understanding of derivatives as instantaneous rate
    of change. Move from procedural knowledge to deep conceptual grasp
    enabling application to novel problems.
    
    TNFR Structural Interpretation
    -------------------------------
    Mathematical understanding transitions from concrete → abstract → applied.
    The learning process:
    1. Open learning space with clear intention (AL)
    2. Receive concrete examples and formal definition (EN)
    3. Initial procedural understanding (IL)
    4. Encounter contradiction between intuition and formalism (OZ)
    5. Conceptual restructuring - "aha!" moment (ZHIR)
    6. New integrated understanding (IL)
    7. Apply across multiple contexts (RA)
    8. Consolidate schema (SHA)
    
    Structural Sequence
    -------------------
    emission → reception → coherence → dissonance → mutation
    → coherence → resonance → silence
    
    Expected Outcomes
    -----------------
    - Deep conceptual understanding of derivatives
    - Ability to apply concept to novel problems
    - Transfer to related concepts (integrals, optimization)
    - Health score: > 0.75 (conceptual breakthrough pattern)
    
    Pedagogical Considerations
    ---------------------------
    - OZ (dissonance) essential for conceptual change
    - ZHIR (mutation) represents genuine paradigm shift
    - Multiple examples needed before OZ activates
    - Consolidation time (SHA) critical for schema formation
    """
    sequence = [
        EMISSION,           # AL: Open learning space, set goal
        RECEPTION,          # EN: Receive concrete examples and definitions
        COHERENCE,          # IL: Initial procedural understanding
        DISSONANCE,         # OZ: Encounter conceptual contradiction
        MUTATION,           # ZHIR: Paradigm shift - understanding "clicks"
        COHERENCE,          # IL: Integrated conceptual understanding
        RESONANCE,          # RA: Apply across multiple contexts
        SILENCE,            # SHA: Consolidation and schema formation
    ]
    
    return {
        "name": "Mathematics Learning - Calculus",
        "sequence": sequence,
        "presenting_level": "Procedural understanding without conceptual grasp",
        "learning_goal": "Deep conceptual understanding enabling novel application",
        "key_operators": ["dissonance", "mutation", "resonance"],
        "pattern_type": "Conceptual breakthrough (concrete → abstract → applied)",
        "time_expected": "2-3 weeks of focused instruction",
    }


# =============================================================================
# CASE STUDY 2: LANGUAGE ACQUISITION
# =============================================================================


def case_language_acquisition():
    """Case Study: Spanish fluency through immersive pattern recognition.
    
    Learning Context
    ----------------
    Learner: 25-year-old adult learning Spanish. Completed 2 years of
    classroom instruction, has vocabulary and grammar knowledge but struggles
    with conversational fluency. Moving to immersive environment.
    
    Learning Goal
    ----------------
    Transition from conscious grammar application to automatic fluent speech.
    Develop intuitive pattern recognition for grammatical structures and
    idiomatic expressions.
    
    TNFR Structural Interpretation
    -------------------------------
    Language fluency emerges through immersion → pattern → automaticity.
    The acquisition process:
    1. Initiate immersive practice (AL)
    2. Receive massive comprehensible input (EN)
    3. Organize basic communicative ability (IL)
    4. Expand into new contexts and expressions (VAL)
    5. Stabilize expanded repertoire (IL)
    6. Encounter limits of current competency (OZ)
    7. Self-organize new grammatical patterns (THOL)
    8. Transition to next fluency level (NAV)
    9. Integrate and automatize (IL)
    10. Apply fluently across contexts (RA)
    
    Structural Sequence
    -------------------
    emission → reception → coherence → expansion → coherence
    → dissonance → self_organization → transition → coherence → resonance
    
    Expected Outcomes
    -----------------
    - Conversational fluency with automatic grammar use
    - Pattern recognition enabling comprehension of new structures
    - Reduced cognitive load in conversation
    - Health score: > 0.80 (comprehensive learning pattern)
    
    Pedagogical Considerations
    ---------------------------
    - VAL (expansion) through varied input contexts
    - THOL (self-organization) respects learner's implicit learning
    - NAV (transition) marks shift from conscious to automatic
    - Immersion provides continuous EN (reception) input
    """
    sequence = [
        EMISSION,           # AL: Initiate immersive practice
        RECEPTION,          # EN: Receive massive comprehensible input
        COHERENCE,          # IL: Organize basic communication
        EXPANSION,          # VAL: Expand into new contexts
        COHERENCE,          # IL: Stabilize expanded repertoire
        DISSONANCE,         # OZ: Encounter competency limits
        SELF_ORGANIZATION,  # THOL: Self-organize grammatical patterns
        COHERENCE,          # IL: Stabilize self-organized patterns
        TRANSITION,         # NAV: Transition to automatic fluency
        SILENCE,            # SHA: Consolidate automatized patterns
    ]
    
    return {
        "name": "Language Acquisition - Spanish Fluency",
        "sequence": sequence,
        "presenting_level": "Intermediate competence with conscious grammar use",
        "learning_goal": "Conversational fluency with automatic pattern recognition",
        "key_operators": ["expansion", "self_organization", "transition"],
        "pattern_type": "Competency development (immersion → pattern → fluency)",
        "time_expected": "6-12 months immersive practice",
    }


# =============================================================================
# CASE STUDY 3: SCIENTIFIC METHOD
# =============================================================================


def case_scientific_method():
    """Case Study: Learning through hypothesis-experiment-revision cycle.
    
    Learning Context
    ----------------
    Student: Undergraduate biology student conducting first independent
    research project. Solid theoretical knowledge but limited experience
    with iterative scientific inquiry and theory revision.
    
    Learning Goal
    ----------------
    Develop scientific thinking through complete research cycle:
    hypothesis formation → experimental design → data collection →
    theory revision → publication. Learn to embrace disconfirmation.
    
    TNFR Structural Interpretation
    -------------------------------
    Scientific learning is inherently regenerative and cyclic.
    The inquiry process:
    1. Current theoretical understanding (IL)
    2. Activate and connect existing knowledge (RA)
    3. Explore new questions and dimensions (VAL)
    4. Connect with literature and methods (UM)
    5. Encounter data-theory dissonance (OZ)
    6. Theory revision/paradigm shift (ZHIR)
    7. Transition to refined understanding (NAV)
    8. Stabilize new theoretical framework (IL)
    9. Reflect on scientific process (SHA)
    
    Structural Sequence
    -------------------
    emission → reception → coherence → resonance → expansion
    → coupling → dissonance → mutation → transition → silence
    
    Expected Outcomes
    -----------------
    - Complete research cycle from hypothesis to publication
    - Comfort with disconfirmation and theory revision
    - Scientific thinking as iterative process
    - Health score: > 0.75 (regenerative learning cycle)
    
    Pedagogical Considerations
    ---------------------------
    - OZ (dissonance) when data contradicts hypothesis is learning moment
    - ZHIR (mutation) represents theory revision, not failure
    - NAV (transition) to new research question completes cycle
    - Multiple cycles build scientific maturity
    """
    sequence = [
        EMISSION,           # AL: Form initial hypothesis
        RECEPTION,          # EN: Review literature and methods
        COHERENCE,          # IL: Establish theoretical framework
        RESONANCE,          # RA: Connect across knowledge domains
        EXPANSION,          # VAL: Design comprehensive experiments
        COHERENCE,          # IL: Stabilize experimental design
        DISSONANCE,         # OZ: Encounter contradictory data
        MUTATION,           # ZHIR: Revise theory based on evidence
        TRANSITION,         # NAV: Move to next research question
        SILENCE,            # SHA: Reflect and consolidate learning
    ]
    
    return {
        "name": "Scientific Method - Research Project",
        "sequence": sequence,
        "presenting_level": "Theoretical knowledge without research experience",
        "learning_goal": "Scientific thinking through complete inquiry cycle",
        "key_operators": ["dissonance", "mutation", "transition"],
        "pattern_type": "Scientific inquiry (hypothesis → experiment → revision)",
        "time_expected": "One semester research project",
    }


# =============================================================================
# CASE STUDY 4: SKILL MASTERY
# =============================================================================


def case_skill_mastery():
    """Case Study: Piano technique mastery through deliberate practice.
    
    Learning Context
    ----------------
    Student: Intermediate piano student (5 years experience) working on
    advanced technique for difficult passage. Has basic skills but needs
    refinement for performance level. Practicing 2 hours daily.
    
    Learning Goal
    ----------------
    Master technically challenging passage through deliberate practice:
    identify weaknesses → focused practice → feedback integration →
    refinement → automatization. Achieve performance-ready execution.
    
    TNFR Structural Interpretation
    -------------------------------
    Skill mastery through practice cycles of focus and integration.
    The practice process:
    1. Set focused practice intention (AL)
    2. Receive teacher feedback on technique (EN)
    3. Establish current skill baseline (IL)
    4. Identify specific technical gap (OZ)
    5. Self-directed technique adjustment (THOL)
    6. Stabilize improved technique (IL)
    7. Focus on remaining weakness (NUL)
    8. Integrate into overall performance (IL)
    9. Consolidate through rest (SHA)
    
    Structural Sequence
    -------------------
    emission → reception → coherence → dissonance → self_organization
    → coherence → contraction → coherence → silence
    
    Expected Outcomes
    -----------------
    - Technical mastery of challenging passage
    - Automatized execution at performance tempo
    - Transferable technique improvement strategies
    - Health score: > 0.75 (practice mastery pattern)
    
    Pedagogical Considerations
    ---------------------------
    - OZ (dissonance) identifies specific technical gap
    - THOL (self-organization) respects student's kinesthetic discovery
    - NUL (contraction) maintains laser focus on weakness
    - SHA (silence) allows motor memory consolidation
    - Multiple practice cycles needed for mastery
    """
    sequence = [
        EMISSION,           # AL: Set focused practice intention
        RECEPTION,          # EN: Receive teacher feedback
        COHERENCE,          # IL: Establish current skill baseline
        DISSONANCE,         # OZ: Identify technical gap
        SELF_ORGANIZATION,  # THOL: Self-directed adjustment
        COHERENCE,          # IL: Stabilize improved technique
        CONTRACTION,        # NUL: Focus on remaining weakness
        COHERENCE,          # IL: Integrate into performance
        SILENCE,            # SHA: Consolidate through rest
    ]
    
    return {
        "name": "Skill Mastery - Piano Technique",
        "sequence": sequence,
        "presenting_level": "Intermediate with technical challenges",
        "learning_goal": "Performance-level mastery through deliberate practice",
        "key_operators": ["dissonance", "self_organization", "contraction"],
        "pattern_type": "Practice mastery (identify → focus → refine → integrate)",
        "time_expected": "4-8 weeks daily practice",
    }


# =============================================================================
# CASE STUDY 5: CREATIVE WRITING
# =============================================================================


def case_creative_writing():
    """Case Study: Novel writing through creative emergence and refinement.
    
    Learning Context
    ----------------
    Writer: Aspiring novelist working on first full-length manuscript.
    Experience with short stories but struggling with sustained narrative,
    character development, and revision process. Has complete first draft.
    
    Learning Goal
    ----------------
    Develop novel through complete writing cycle:
    initial inspiration → structure → draft → feedback → revision →
    publication readiness. Learn to balance creativity with craft.
    
    TNFR Structural Interpretation
    -------------------------------
    Creative writing requires balance of emergence and structure.
    The writing process:
    1. Open creative space (AL)
    2. Receive inspiration and ideas (EN)
    3. Initial structure and outline (IL)
    4. Expand into creative exploration (VAL)
    5. Stabilize draft structure (IL)
    6. Encounter structural weaknesses (OZ)
    7. Self-organize narrative coherence (THOL)
    8. Connect plot threads and themes (UM)
    9. Transition through major revision (NAV)
    10. Reflect and prepare for publication (SHA)
    
    Structural Sequence
    -------------------
    emission → reception → coherence → expansion → coherence
    → dissonance → self_organization → coupling → transition → silence
    
    Expected Outcomes
    -----------------
    - Publication-ready manuscript
    - Understanding of revision as creative process
    - Balance of inspiration and craft
    - Health score: > 0.80 (creative emergence pattern)
    
    Pedagogical Considerations
    ---------------------------
    - VAL (expansion) allows creative exploration in draft
    - OZ (dissonance) from feedback drives improvement
    - THOL (self-organization) preserves writer's unique voice
    - NAV (transition) through major revision is transformative
    - SHA (silence) before publication allows perspective
    """
    sequence = [
        EMISSION,           # AL: Open creative space and intention
        RECEPTION,          # EN: Receive inspiration and ideas
        COHERENCE,          # IL: Initial structure and outline
        EXPANSION,          # VAL: Creative exploration in draft
        COHERENCE,          # IL: Stabilize draft structure
        DISSONANCE,         # OZ: Encounter structural weaknesses
        SELF_ORGANIZATION,  # THOL: Self-organize narrative coherence
        COUPLING,           # UM: Connect plot threads and themes
        TRANSITION,         # NAV: Major revision transformation
        SILENCE,            # SHA: Reflect and prepare for publication
    ]
    
    return {
        "name": "Creative Writing - Novel Development",
        "sequence": sequence,
        "presenting_level": "Complete first draft needing revision",
        "learning_goal": "Publication-ready manuscript through creative refinement",
        "key_operators": ["expansion", "self_organization", "transition"],
        "pattern_type": "Creative emergence (inspire → draft → revise → publish)",
        "time_expected": "6-12 months revision process",
    }


# =============================================================================
# VALIDATION AND REPORTING
# =============================================================================


def validate_case(case_data):
    """Validate a case study sequence and print detailed report.
    
    Parameters
    ----------
    case_data : dict
        Case study dictionary with name, sequence, and metadata
    
    Returns
    -------
    bool
        True if validation passed, False otherwise
    """
    name = case_data["name"]
    sequence = case_data["sequence"]
    
    print(f"\n{'=' * 70}")
    print(f"Case Study: {name}")
    print(f"{'=' * 70}")
    print(f"Presenting Level: {case_data['presenting_level']}")
    print(f"Learning Goal: {case_data['learning_goal']}")
    print(f"Pattern Type: {case_data['pattern_type']}")
    print(f"\nSequence: {' → '.join(sequence)}")
    
    # Validate with health metrics
    result = validate_sequence_with_health(sequence)
    
    if not result.passed:
        print(f"\n✗ VALIDATION FAILED: {result.message}")
        return False
    
    health = result.health_metrics
    print(f"\n✓ VALIDATION PASSED")
    print(f"\n--- Structural Health Metrics ---")
    print(f"Overall Health:         {health.overall_health:.3f}")
    print(f"Coherence Index:        {health.coherence_index:.3f}")
    print(f"Balance Score:          {health.balance_score:.3f}")
    print(f"Sustainability:         {health.sustainability_index:.3f}")
    print(f"Complexity Efficiency:  {health.complexity_efficiency:.3f}")
    print(f"Pattern Detected:       {health.dominant_pattern.upper()}")
    
    # Health interpretation
    if health.overall_health >= 0.85:
        status = "🌟 EXCELLENT"
    elif health.overall_health >= 0.75:
        status = "✓ GOOD"
    elif health.overall_health >= 0.60:
        status = "⚠ FAIR"
    else:
        status = "⚠️ POOR"
    
    print(f"\nHealth Status: {status}")
    print(f"Expected Duration: {case_data['time_expected']}")
    
    if health.recommendations:
        print(f"\n--- Recommendations ---")
        for i, rec in enumerate(health.recommendations, 1):
            print(f"  {i}. {rec}")
    
    return True


def validate_all_case_studies():
    """Validate all educational case studies and generate summary report.
    
    Returns
    -------
    dict
        Summary statistics of validation results
    """
    print("\n" + "=" * 70)
    print("TNFR EDUCATIONAL CASE STUDIES VALIDATION")
    print("=" * 70)
    
    cases = [
        case_mathematics_learning(),
        case_language_acquisition(),
        case_scientific_method(),
        case_skill_mastery(),
        case_creative_writing(),
    ]
    
    results = {}
    
    for case_data in cases:
        passed = validate_case(case_data)
        name = case_data["name"]
        
        if passed:
            result = validate_sequence_with_health(case_data["sequence"])
            results[name] = {
                "passed": True,
                "health": result.health_metrics.overall_health,
                "pattern": result.health_metrics.dominant_pattern,
                "length": len(case_data["sequence"]),
            }
        else:
            results[name] = {"passed": False}
    
    # Summary report
    print(f"\n{'=' * 70}")
    print("VALIDATION SUMMARY")
    print(f"{'=' * 70}")
    
    passed_count = sum(1 for r in results.values() if r["passed"])
    total_count = len(results)
    
    print(f"\nTotal Case Studies: {total_count}")
    print(f"Passed: {passed_count}")
    print(f"Failed: {total_count - passed_count}")
    
    if passed_count > 0:
        avg_health = sum(r["health"] for r in results.values() if r["passed"]) / passed_count
        print(f"Average Health Score: {avg_health:.3f}")
    
    print(f"\n--- Individual Results ---")
    for name, result in results.items():
        if result["passed"]:
            status = "✓ PASS"
            details = f"(health: {result['health']:.3f}, pattern: {result['pattern']})"
        else:
            status = "✗ FAIL"
            details = ""
        # Truncate long names
        display_name = name[:35] + "..." if len(name) > 35 else name
        print(f"  {status:8s} {display_name:38s} {details}")
    
    return results


def main():
    """Run educational case studies validation and demonstration."""
    results = validate_all_case_studies()
    
    # Success criteria check
    print(f"\n{'=' * 70}")
    print("SUCCESS CRITERIA CHECK")
    print(f"{'=' * 70}")
    
    all_passed = all(r["passed"] for r in results.values())
    health_threshold = 0.75
    all_above_threshold = all(
        r["health"] >= health_threshold
        for r in results.values()
        if r["passed"]
    )
    
    print(f"\n✓ All case studies valid: {all_passed}")
    print(f"✓ All health scores > {health_threshold}: {all_above_threshold}")
    print(f"✓ Minimum 5 case studies: {len(results) >= 5}")
    
    if all_passed and all_above_threshold:
        print(f"\n🎉 SUCCESS: All educational case studies meet acceptance criteria!")
    else:
        print(f"\n⚠️  ISSUES: Some case studies need improvement")
    
    print("=" * 70)


if __name__ == "__main__":
    main()
