#!/usr/bin/env python3
"""
HDGL Unified Virtual Machine - Production Implementation
Analog dimensionality + Base(∞) numeric system
Turing-complete, future-proof, mathematically elegant

Design Philosophy:
- Everything is a number in the HDGL field
- Analog dimensions (D1-D8) provide continuous state
- φ-based primitives ensure natural evolution
- Smart contract hooks are pre-allocated numeric slots
- No complex abstractions - just pure numeric operations
"""

from decimal import Decimal, getcontext
from typing import Dict, List, Tuple, Optional, Callable
from dataclasses import dataclass
import hashlib
from web3 import Web3

# Ultra-high precision for analog computations
getcontext().prec = 100

# ============================================
# HDGL Field Constants (The Universal State)
# ============================================

class HDGLField:
    """The complete HDGL numeric field with all primitives"""
    
    # Upper Field: Expansion Primitives
    PRISM_STATE = Decimal("105.0000000000")           # Composite RGB DNA
    RECURSION_MODE = Decimal("99.9999999999")         # Recursion switch
    POS_INF_RECUR = Decimal("9.9999999999")           # Positive infinite slot
    P3_DNA = Decimal("4.2360679775")                  # Fibonacci 5 DNA
    PI = Decimal("3.1415926535")                      # Conditional operator
    PHI_SQ = Decimal("2.6180339887")                  # φ² (Addition)
    PHI = Decimal("1.6180339887")                     # Golden ratio
    
    # Analog Dimensionality (The Core State Machine)
    D8 = Decimal("8.0000000000")                      # Full hybrid lattice
    D7 = Decimal("7.0000000000")                      # Strand A+B superposition
    D6 = Decimal("6.0000000000")                      # Strand B, Wave -
    D5 = Decimal("5.0000000000")                      # Strand B, Wave 0
    D4 = Decimal("4.0000000000")                      # Strand B, Wave +
    D3 = Decimal("3.0000000000")                      # Strand A, Wave -
    D2 = Decimal("2.0000000000")                      # Strand A, Wave 0
    D1 = Decimal("1.0000000000")                      # Strand A, Wave +
    
    DIM_SWITCH = Decimal("1.0000000000")              # Dimensionality mode
    P4_DNA = Decimal("6.8541019662")                  # Fibonacci 8 DNA
    P5_DNA = Decimal("11.0901699437")                 # Fibonacci 13 DNA
    P6_DNA = Decimal("17.9442719100")                 # Fibonacci 21 DNA
    P7_DNA = Decimal("29.0344465435")                 # Fibonacci 34 DNA
    
    # Smart Contract Hooks (Pre-allocated numeric slots)
    COND_SLOT_1 = Decimal("16180339887")              # Conditional threshold
    BRANCH_A_SEED = Decimal("105000000000")           # Branch A pointer
    BRANCH_B_SEED = Decimal("99999999999")            # Branch B pointer
    
    SIG_SLOT_1 = Decimal("6180339887")                # Signature key
    SIG_THRESHOLD = Decimal("3819660113")             # Unlock threshold
    SIG_SLOT_2 = Decimal("5000000000")                # Multi-party slot
    
    RECUR_POINTER = Decimal("29034446543")            # Recursion pointer
    MAX_ITER = Decimal("9223372036854775")            # Safe recursion cap
    
    ORACLE_SLOT = Decimal("1772110000")               # Oracle input
    ORACLE_SCALE = Decimal("6180339887")              # Oracle weighting
    ORACLE_THRESH = Decimal("2360679775")             # Oracle trigger
    
    STATE_SLOT_0 = Decimal("5000000000")              # Memory slot 0
    STATE_SLOT_1 = Decimal("7000000000")              # Memory slot 1
    STATE_SLOT_2 = Decimal("8500000000")              # Memory slot 2
    STATE_SLOT_3 = Decimal("12300000000")             # Memory slot 3
    
    SATURATE_SLOT = Decimal("9223372036854775")       # Max numeric cap
    SATURATE_METHOD = Decimal("6180339887")           # Overflow reduction
    
    # The Void (Center of Field)
    VOID = Decimal("0.0000000000")
    
    # Lower Field: Contraction Primitives
    NEG_INF_RECUR = Decimal("0.0000000001")           # Negative infinite slot
    INV_P7 = Decimal("0.0344465435")                  # 1/P7
    INV_P6 = Decimal("0.0557280900")                  # 1/P6
    INV_P5 = Decimal("0.0901699437")                  # 1/P5
    INV_P4 = Decimal("0.1458980338")                  # 1/P4
    INV_P3 = Decimal("0.2360679775")                  # 1/P3
    INV_PHI_SQ = Decimal("0.3819660113")              # 1/φ² (Inverse add)
    INV_PHI = Decimal("0.6180339887")                 # 1/φ

@dataclass
class HDGLState:
    """Complete machine state - just a vector of analog dimensions"""
    dimensions: List[Decimal]                          # D1-D8 analog state
    memory: Dict[str, Decimal]                         # Named memory slots
    recursion_depth: int                               # Current recursion level
    program_counter: int                               # Current instruction
    halted: bool                                       # Machine halted?
    
    def __init__(self):
        self.dimensions = [HDGLField.D1, HDGLField.D2, HDGLField.D3, HDGLField.D4,
                          HDGLField.D5, HDGLField.D6, HDGLField.D7, HDGLField.D8]
        self.memory = {
            'STATE_0': HDGLField.STATE_SLOT_0,
            'STATE_1': HDGLField.STATE_SLOT_1,
            'STATE_2': HDGLField.STATE_SLOT_2,
            'STATE_3': HDGLField.STATE_SLOT_3,
            'ORACLE': HDGLField.ORACLE_SLOT,
            'SIGNATURE': HDGLField.SIG_SLOT_1,
        }
        self.recursion_depth = 0
        self.program_counter = 0
        self.halted = False
    
    def commitment_hash(self) -> bytes:
        """Generate commitment hash of current state"""
        state_bytes = b''.join([
            int(d * Decimal(10**18)).to_bytes(32, 'big') for d in self.dimensions
        ])
        for value in self.memory.values():
            state_bytes += int(value * Decimal(10**18)).to_bytes(32, 'big')
        return Web3.keccak(state_bytes)

# ============================================
# HDGL VM Operations (Pure Numeric Functions)
# ============================================

class HDGLOperations:
    """All HDGL operations as pure numeric transformations"""
    
    @staticmethod
    def phi_evolve(x: Decimal) -> Decimal:
        """φ-evolution: x → x * φ"""
        return (x * HDGLField.PHI) % HDGLField.SATURATE_SLOT
    
    @staticmethod
    def phi_contract(x: Decimal) -> Decimal:
        """φ-contraction: x → x / φ"""
        return x * HDGLField.INV_PHI
    
    @staticmethod
    def phi_add(a: Decimal, b: Decimal) -> Decimal:
        """φ-addition: a ⊕ b = (a + b) * φ²"""
        result = (a + b) * HDGLField.PHI_SQ
        if result > HDGLField.SATURATE_SLOT:
            result = result * HDGLField.SATURATE_METHOD / HDGLField.PHI
        return result
    
    @staticmethod
    def phi_multiply(a: Decimal, b: Decimal) -> Decimal:
        """φ-multiplication: a ⊗ b = (a * b) / φ"""
        return (a * b) * HDGLField.INV_PHI
    
    @staticmethod
    def conditional(cond: Decimal, a: Decimal, b: Decimal) -> Decimal:
        """Numeric conditional: if cond > π then a else b"""
        return a if cond > HDGLField.PI else b
    
    @staticmethod
    def dimension_shift(dims: List[Decimal], direction: int) -> List[Decimal]:
        """Shift dimensions up (1) or down (-1) through φ-evolution"""
        if direction > 0:
            return [HDGLOperations.phi_evolve(d) for d in dims]
        else:
            return [HDGLOperations.phi_contract(d) for d in dims]
    
    @staticmethod
    def dna_braid(x: Decimal, pattern: int) -> Decimal:
        """Apply Fibonacci DNA braid pattern (P3-P7)"""
        patterns = [HDGLField.P3_DNA, HDGLField.P4_DNA, HDGLField.P5_DNA,
                   HDGLField.P6_DNA, HDGLField.P7_DNA]
        p = patterns[pattern % len(patterns)]
        return (x * p) % HDGLField.SATURATE_SLOT
    
    @staticmethod
    def strand_superposition(a: Decimal, b: Decimal) -> Decimal:
        """Create superposition of two strands using φ-weighting"""
        return (a * HDGLField.PHI + b * HDGLField.INV_PHI) / HDGLField.PHI_SQ
    
    @staticmethod
    def void_collapse(x: Decimal) -> Decimal:
        """Collapse toward the void using φ-decay"""
        return x * HDGLField.INV_PHI_SQ

# ============================================
# HDGL Virtual Machine (The Execution Engine)
# ============================================

class HDGLVM:
    """Turing-complete VM executing on the HDGL field"""
    
    def __init__(self):
        self.state = HDGLState()
        self.operations = HDGLOperations()
        self.instruction_set = self._build_instruction_set()
        
    def _build_instruction_set(self) -> Dict[int, Callable]:
        """Map numeric opcodes to operations"""
        return {
            1: self._op_phi_evolve,      # Evolve dimension by φ
            2: self._op_phi_contract,     # Contract dimension by 1/φ
            3: self._op_phi_add,          # φ-addition of dimensions
            4: self._op_phi_multiply,     # φ-multiplication
            5: self._op_conditional,      # Conditional branch
            6: self._op_dimension_shift,  # Shift all dimensions
            7: self._op_dna_braid,        # Apply DNA braid pattern
            8: self._op_strand_super,     # Create strand superposition
            9: self._op_oracle_read,      # Read oracle input
            10: self._op_signature_check, # Check signature threshold
            11: self._op_recurse,         # Recursive call
            12: self._op_memory_store,    # Store to memory slot
            13: self._op_memory_load,     # Load from memory slot
            14: self._op_void_collapse,   # Collapse toward void
            15: self._op_prism_state,     # Enter prism state
            99: self._op_halt,            # Halt execution
        }
    
    def execute_program(self, program: List[Tuple[int, List[Decimal]]], 
                       max_steps: int = 10000) -> HDGLState:
        """Execute a program (list of [opcode, args])"""
        steps = 0
        while not self.state.halted and steps < max_steps:
            if self.state.program_counter >= len(program):
                break
            
            opcode, args = program[self.state.program_counter]
            
            if opcode in self.instruction_set:
                self.instruction_set[opcode](args)
            else:
                # Unknown opcode - treat as NOP
                pass
            
            self.state.program_counter += 1
            steps += 1
        
        return self.state
    
    # Individual operations
    def _op_phi_evolve(self, args: List[Decimal]):
        """Evolve dimension[args[0]] by φ"""
        idx = int(args[0]) % len(self.state.dimensions)
        self.state.dimensions[idx] = self.operations.phi_evolve(
            self.state.dimensions[idx]
        )
    
    def _op_phi_contract(self, args: List[Decimal]):
        """Contract dimension[args[0]] by 1/φ"""
        idx = int(args[0]) % len(self.state.dimensions)
        self.state.dimensions[idx] = self.operations.phi_contract(
            self.state.dimensions[idx]
        )
    
    def _op_phi_add(self, args: List[Decimal]):
        """Add dimensions args[0] and args[1], store in args[2]"""
        idx_a = int(args[0]) % len(self.state.dimensions)
        idx_b = int(args[1]) % len(self.state.dimensions)
        idx_c = int(args[2]) % len(self.state.dimensions)
        
        result = self.operations.phi_add(
            self.state.dimensions[idx_a],
            self.state.dimensions[idx_b]
        )
        self.state.dimensions[idx_c] = result
    
    def _op_phi_multiply(self, args: List[Decimal]):
        """Multiply dimensions args[0] and args[1], store in args[2]"""
        idx_a = int(args[0]) % len(self.state.dimensions)
        idx_b = int(args[1]) % len(self.state.dimensions)
        idx_c = int(args[2]) % len(self.state.dimensions)
        
        result = self.operations.phi_multiply(
            self.state.dimensions[idx_a],
            self.state.dimensions[idx_b]
        )
        self.state.dimensions[idx_c] = result
    
    def _op_conditional(self, args: List[Decimal]):
        """If dim[args[0]] > π, jump to args[1], else args[2]"""
        idx = int(args[0]) % len(self.state.dimensions)
        cond_value = self.state.dimensions[idx]
        
        if cond_value > HDGLField.PI:
            self.state.program_counter = int(args[1])
        else:
            self.state.program_counter = int(args[2])
    
    def _op_dimension_shift(self, args: List[Decimal]):
        """Shift all dimensions up (1) or down (-1)"""
        direction = 1 if args[0] > HDGLField.VOID else -1
        self.state.dimensions = self.operations.dimension_shift(
            self.state.dimensions, direction
        )
    
    def _op_dna_braid(self, args: List[Decimal]):
        """Apply DNA braid pattern args[1] to dimension args[0]"""
        idx = int(args[0]) % len(self.state.dimensions)
        pattern = int(args[1])
        
        self.state.dimensions[idx] = self.operations.dna_braid(
            self.state.dimensions[idx], pattern
        )
    
    def _op_strand_super(self, args: List[Decimal]):
        """Create superposition of dims args[0] and args[1], store in args[2]"""
        idx_a = int(args[0]) % len(self.state.dimensions)
        idx_b = int(args[1]) % len(self.state.dimensions)
        idx_c = int(args[2]) % len(self.state.dimensions)
        
        result = self.operations.strand_superposition(
            self.state.dimensions[idx_a],
            self.state.dimensions[idx_b]
        )
        self.state.dimensions[idx_c] = result
    
    def _op_oracle_read(self, args: List[Decimal]):
        """Read oracle value, scale by φ, store in dimension args[0]"""
        idx = int(args[0]) % len(self.state.dimensions)
        oracle_val = self.state.memory['ORACLE']
        
        scaled_val = oracle_val * HDGLField.ORACLE_SCALE / Decimal(10**10)
        self.state.dimensions[idx] = scaled_val
    
    def _op_signature_check(self, args: List[Decimal]):
        """Check if signature threshold met, conditional jump"""
        sig_sum = sum(self.state.dimensions[:4])  # Sum first 4 dimensions
        
        if sig_sum > HDGLField.SIG_THRESHOLD:
            self.state.program_counter = int(args[0])  # Authorized path
        else:
            self.state.program_counter = int(args[1])  # Unauthorized path
    
    def _op_recurse(self, args: List[Decimal]):
        """Recursive call if depth < MAX_ITER"""
        if self.state.recursion_depth < int(HDGLField.MAX_ITER / Decimal(10**12)):
            self.state.recursion_depth += 1
            self.state.program_counter = int(args[0])  # Jump to recursion point
        else:
            # Max recursion reached - collapse toward void
            self.state.dimensions = [
                self.operations.void_collapse(d) for d in self.state.dimensions
            ]
    
    def _op_memory_store(self, args: List[Decimal]):
        """Store dimension args[0] to memory slot args[1]"""
        idx = int(args[0]) % len(self.state.dimensions)
        slot = int(args[1]) % 4
        
        slot_name = f'STATE_{slot}'
        self.state.memory[slot_name] = self.state.dimensions[idx]
    
    def _op_memory_load(self, args: List[Decimal]):
        """Load from memory slot args[0] to dimension args[1]"""
        slot = int(args[0]) % 4
        idx = int(args[1]) % len(self.state.dimensions)
        
        slot_name = f'STATE_{slot}'
        self.state.dimensions[idx] = self.state.memory[slot_name]
    
    def _op_void_collapse(self, args: List[Decimal]):
        """Collapse dimension args[0] toward the void"""
        idx = int(args[0]) % len(self.state.dimensions)
        self.state.dimensions[idx] = self.operations.void_collapse(
            self.state.dimensions[idx]
        )
    
    def _op_prism_state(self, args: List[Decimal]):
        """Enter prism state - composite RGB DNA evolution"""
        # Apply P3, P4, P5 DNA braids to first 3 dimensions (RGB analogy)
        for i in range(3):
            self.state.dimensions[i] = self.operations.dna_braid(
                self.state.dimensions[i], i
            )
        
        # Create superposition in D7
        self.state.dimensions[6] = self.operations.strand_superposition(
            self.state.dimensions[0], self.state.dimensions[1]
        )
    
    def _op_halt(self, args: List[Decimal]):
        """Halt execution"""
        self.state.halted = True

# ============================================
# Example: Simple HDGL Programs
# ============================================

def example_phi_evolution():
    """Example: Evolve all dimensions by φ"""
    vm = HDGLVM()
    
    program = [
        (1, [Decimal(0)]),  # Evolve D1
        (1, [Decimal(1)]),  # Evolve D2
        (1, [Decimal(2)]),  # Evolve D3
        (1, [Decimal(3)]),  # Evolve D4
        (1, [Decimal(4)]),  # Evolve D5
        (1, [Decimal(5)]),  # Evolve D6
        (1, [Decimal(6)]),  # Evolve D7
        (1, [Decimal(7)]),  # Evolve D8
        (99, []),           # Halt
    ]
    
    final_state = vm.execute_program(program)
    return final_state

def example_conditional_branching():
    """Example: Conditional execution based on dimension value"""
    vm = HDGLVM()
    
    program = [
        (1, [Decimal(0)]),              # 0: Evolve D1
        (1, [Decimal(0)]),              # 1: Evolve D1 again
        (5, [Decimal(0), Decimal(5), Decimal(10)]),  # 2: If D1 > π, goto 5, else goto 10
        # Branch A (steps 5-9)
        (7, [Decimal(1), Decimal(2)]),  # 5: Apply DNA braid P5 to D2
        (1, [Decimal(2)]),              # 6: Evolve D3
        (99, []),                       # 7: Halt
        # Branch B (steps 10-14)
        (2, [Decimal(1)]),              # 10: Contract D2
        (14, [Decimal(2)]),             # 11: Collapse D3 to void
        (99, []),                       # 12: Halt
    ]
    
    final_state = vm.execute_program(program)
    return final_state

# Main export
__all__ = ['HDGLVM', 'HDGLField', 'HDGLState', 'HDGLOperations']
