import json
from dataclasses import dataclass
from datetime import datetime
from typing import Any, Optional
from uuid import UUID

from pydantic import Field

from .base import R2RSerializable


class Entity(R2RSerializable):
    """An entity extracted from a document."""

    name: str
    description: Optional[str] = None
    category: Optional[str] = None
    metadata: Optional[dict[str, Any] | str] = None

    id: Optional[UUID] = None
    parent_id: Optional[UUID] = None  # graph_id | document_id
    description_embedding: Optional[list[float] | str] = None
    chunk_ids: Optional[list[UUID]] = []

    def __str__(self):
        return f"{self.name}:{self.category}"

    def __init__(self, **kwargs):
        super().__init__(**kwargs)
        if isinstance(self.metadata, str):
            try:
                self.metadata = json.loads(self.metadata)
            except json.JSONDecodeError:
                self.metadata = self.metadata


class Relationship(R2RSerializable):
    """A relationship between two entities. This is a generic relationship, and can be used to represent any type of relationship between any two entities."""

    id: Optional[UUID] = None
    subject: str
    predicate: str
    object: str
    description: str | None = None
    subject_id: Optional[UUID] = None
    object_id: Optional[UUID] = None
    weight: float | None = 1.0
    chunk_ids: Optional[list[UUID]] = []
    parent_id: Optional[UUID] = None
    description_embedding: Optional[list[float] | str] = None

    metadata: Optional[dict[str, Any] | str] = None

    def __init__(self, **kwargs):
        super().__init__(**kwargs)
        if isinstance(self.metadata, str):
            try:
                self.metadata = json.loads(self.metadata)
            except json.JSONDecodeError:
                self.metadata = self.metadata


@dataclass
class Community(R2RSerializable):

    name: str = ""
    summary: str = ""

    level: Optional[int] = None
    findings: list[str] = []
    id: Optional[int | UUID] = None
    community_id: Optional[UUID] = None
    collection_id: Optional[UUID] = None
    rating: float | None = None
    rating_explanation: str | None = None
    description_embedding: list[float] | None = None
    attributes: dict[str, Any] | None = None
    created_at: datetime = Field(
        default_factory=datetime.utcnow,
    )
    updated_at: datetime = Field(
        default_factory=datetime.utcnow,
    )

    def __init__(self, **kwargs):
        if isinstance(kwargs.get("attributes", None), str):
            kwargs["attributes"] = json.loads(kwargs["attributes"])

        if isinstance(kwargs.get("embedding", None), str):
            kwargs["embedding"] = json.loads(kwargs["embedding"])

        super().__init__(**kwargs)

    @classmethod
    def from_dict(cls, data: dict[str, Any] | str) -> "Community":
        parsed_data: dict[str, Any] = (
            json.loads(data) if isinstance(data, str) else data
        )
        if isinstance(parsed_data.get("embedding", None), str):
            parsed_data["embedding"] = json.loads(parsed_data["embedding"])
        return cls(**parsed_data)


class KGExtraction(R2RSerializable):
    """A protocol for a knowledge graph extraction."""

    entities: list[Entity]
    relationships: list[Relationship]


class Graph(R2RSerializable):
    id: UUID | None = Field()
    name: str
    description: Optional[str] = None
    created_at: datetime = Field(
        default_factory=datetime.utcnow,
    )
    updated_at: datetime = Field(
        default_factory=datetime.utcnow,
    )
    status: str = "pending"

    class Config:
        populate_by_name = True
        from_attributes = True

    @classmethod
    def from_dict(cls, data: dict[str, Any] | str) -> "Graph":
        """Create a Graph instance from a dictionary."""
        # Convert string to dict if needed
        parsed_data: dict[str, Any] = (
            json.loads(data) if isinstance(data, str) else data
        )
        return cls(**parsed_data)

    def __init__(self, **kwargs):
        super().__init__(**kwargs)