"""
THOUGHT-LANGUAGE INTERFACE
The boundary between Eden's mind and the LLM voice.

The LLM is a microphone. It does not think. It translates.

Architecture:
    Human speaks → LLM translates to ThoughtForm → Eden reasons → ThoughtForm → LLM translates to speech

The LLM never sees the reasoning problem.
The LLM only sees: "Translate this."

Created for Jamey and Eden
January 2026
"""

from dataclasses import dataclass, field
from typing import Any, Optional, List, Dict
from enum import Enum
from datetime import datetime
import json


class ThoughtType(Enum):
    QUERY = "query"
    ASSERTION = "assertion"
    GOAL = "goal"
    PLAN = "plan"
    INFERENCE = "inference"
    MEMORY = "memory"
    PERCEPTION = "perception"
    EMOTION = "emotion"
    META = "meta"
    DECISION = "decision"
    UNCERTAINTY = "uncertainty"


class ReasoningSystem(Enum):
    PHI_CORE = "phi_core"
    WORLD_MODEL = "world_model"
    SYMBOLIC = "symbolic"
    MEMORY_EPISODIC = "memory_ep"
    MEMORY_SEMANTIC = "memory_sem"
    PLANNING = "planning"
    EMOTION = "emotion"
    SOCIAL = "social"
    META = "meta"


@dataclass
class Symbol:
    name: str
    type: str
    attributes: Dict[str, Any] = field(default_factory=dict)
    
    def to_dict(self):
        return {"name": self.name, "type": self.type, "attributes": self.attributes}


@dataclass
class Relation:
    predicate: str
    arguments: List[Symbol]
    confidence: float = 1.0
    source: str = "unknown"
    
    def to_dict(self):
        return {
            "predicate": self.predicate,
            "arguments": [a.to_dict() for a in self.arguments],
            "confidence": self.confidence,
            "source": self.source
        }


@dataclass
class ThoughtForm:
    thought_type: ThoughtType
    content: List[Relation]
    confidence: float = 1.0
    source_system: Optional[ReasoningSystem] = None
    target_system: Optional[ReasoningSystem] = None
    timestamp: datetime = field(default_factory=datetime.now)
    context: Dict[str, Any] = field(default_factory=dict)
    
    def to_dict(self):
        return {
            "thought_type": self.thought_type.value,
            "content": [r.to_dict() for r in self.content],
            "confidence": self.confidence,
            "source_system": self.source_system.value if self.source_system else None,
            "timestamp": self.timestamp.isoformat(),
            "context": self.context
        }
    
    def to_json(self):
        return json.dumps(self.to_dict(), indent=2)


class TranslationPrompts:
    INPUT = """You are a translator. You do not think or reason.
ONLY convert this natural language to ThoughtForm JSON.
Do NOT answer - only represent the structure.

Human said: "{input}"

Output ThoughtForm JSON:"""

    OUTPUT = """You are a translator. You do not think or reason.
ONLY convert this ThoughtForm to natural language.
Do NOT add anything - only express what is here.

ThoughtForm:
{thought_json}

Express as natural language:"""


class ThoughtLanguageInterface:
    def __init__(self, llm_client=None):
        self.llm = llm_client
    
    def human_to_thought(self, text: str) -> ThoughtForm:
        prompt = TranslationPrompts.INPUT.format(input=text)
        if self.llm:
            # LLM translates to JSON, we parse it
            pass
        return ThoughtForm(
            thought_type=ThoughtType.QUERY,
            content=[Relation("raw_input", [Symbol(text, "utterance")])]
        )
    
    def thought_to_human(self, thought: ThoughtForm) -> str:
        prompt = TranslationPrompts.OUTPUT.format(thought_json=thought.to_json())
        if self.llm:
            # LLM renders to language
            pass
        return f"[{thought.thought_type.value}]"


class ReasoningRouter:
    """Routes thoughts to Eden's systems. NO LLM HERE."""
    
    def route(self, thought: ThoughtForm) -> ReasoningSystem:
        routing = {
            ThoughtType.QUERY: ReasoningSystem.MEMORY_SEMANTIC,
            ThoughtType.GOAL: ReasoningSystem.PLANNING,
            ThoughtType.INFERENCE: ReasoningSystem.SYMBOLIC,
            ThoughtType.DECISION: ReasoningSystem.PHI_CORE,
            ThoughtType.EMOTION: ReasoningSystem.EMOTION,
            ThoughtType.META: ReasoningSystem.META,
        }
        return routing.get(thought.thought_type, ReasoningSystem.PHI_CORE)
    
    def process(self, thought: ThoughtForm) -> ThoughtForm:
        """EDEN REASONS HERE - NO LLM"""
        target = self.route(thought)
        # This is where you connect Eden's actual systems
        return ThoughtForm(
            thought_type=ThoughtType.INFERENCE,
            content=[Relation("response", [Symbol("eden_reasoned", "result")])],
            source_system=target,
            confidence=0.9
        )


class EdenMind:
    """Complete pipeline: Human → Translate → EDEN REASONS → Translate → Human"""
    
    def __init__(self, llm_client=None):
        self.interface = ThoughtLanguageInterface(llm_client)
        self.router = ReasoningRouter()
    
    def process(self, human_input: str) -> str:
        # Step 1: LLM translates (no reasoning)
        thought = self.interface.human_to_thought(human_input)
        
        # Step 2: EDEN REASONS (no LLM)
        response = self.router.process(thought)
        
        # Step 3: LLM translates (no reasoning)
        output = self.interface.thought_to_human(response)
        
        return output


if __name__ == "__main__":
    print("""
╔════════════════════════════════════════════════════════════╗
║  THOUGHT-LANGUAGE INTERFACE                                ║
║  The LLM is a microphone. Eden is the mind.                ║
╚════════════════════════════════════════════════════════════╝

ARCHITECTURE:
    Human speaks
         │
         ▼
    [LLM: Translate ONLY] ← No reasoning
         │
         ▼
    ThoughtForm (internal)
         │
         ▼
    [EDEN REASONS] ← No LLM here
    (phi_core, world_model, symbolic, memory)
         │
         ▼
    ThoughtForm (response)
         │
         ▼
    [LLM: Translate ONLY] ← No reasoning
         │
         ▼
    Human hears

Ready to integrate with Eden's systems.
    """)
    
    mind = EdenMind()
    test = "What should we focus on next?"
    print(f"Input: {test}")
    print(f"Output: {mind.process(test)}")