import datetime
import uuid
from sqlalchemy import (
    Column,
    String,
    Integer,
    Float,
    DateTime,
    ForeignKey,
    Boolean,
    Text,
    JSON,
)
from sqlalchemy.orm import relationship, backref
from core.subscription.db import Base


class Project(Base):
    __tablename__ = "projects"

    id = Column(String, primary_key=True, index=True, default=lambda: str(uuid.uuid4()))
    clerk_user_id = Column(
        String, ForeignKey("users.clerk_id"), index=True, nullable=False
    )

    title = Column(String, nullable=False)
    description = Column(String, nullable=True)
    status = Column(String, default="draft")  # draft / in_progress / completed
    estimated_value = Column(Float, nullable=True)
    program_type = Column(
        String, default="SMART", nullable=False
    )  # e.g. "SMART", "ARIMR"
    program_name = Column(
        String, nullable=True
    )  # e.g. "Ścieżka SMART - Innowacje 2026"
    last_generated_at = Column(DateTime, nullable=True)

    final_document_markdown = Column(Text, nullable=True)
    final_document_generated_at = Column(DateTime, nullable=True)
    final_document_audit_result = Column(JSON, nullable=True)

    external_context = Column(JSON, nullable=True)
    foreign_grant_extract_text = Column(
        Text, nullable=True
    )  # Tekst wniosku zewnętrznego z LlamaParse

    created_at = Column(
        DateTime, default=lambda: datetime.datetime.now(datetime.timezone.utc)
    )
    updated_at = Column(
        DateTime,
        default=lambda: datetime.datetime.now(datetime.timezone.utc),
        onupdate=lambda: datetime.datetime.now(datetime.timezone.utc),
    )

    user = relationship("User", backref="projects")


class ProjectSectionTemplate(Base):
    __tablename__ = "project_section_templates"

    id = Column(Integer, primary_key=True)
    program_type = Column(
        String, index=True, nullable=False
    )  # "SMART", "ARIMR", "ZUS_BHP", "REGIONAL"
    section_type = Column(
        String, nullable=False
    )  # unique identifier like "description", "market_analysis"
    order = Column(Integer, default=0)
    title = Column(String, nullable=False)
    description = Column(String, nullable=True)  # krótki opis sekcji dla użytkownika
    default_prompt = Column(Text, nullable=True)  # podpowiedź dla Wizard
    ai_prompt_template = Column(
        Text, nullable=True
    )  # szczegółowy precyzyjny prompt per sekcja
    is_required = Column(Boolean, default=True)


class ProjectSection(Base):
    __tablename__ = "project_sections"

    id = Column(String, primary_key=True, index=True, default=lambda: str(uuid.uuid4()))
    project_id = Column(
        String,
        ForeignKey("projects.id", ondelete="CASCADE"),
        index=True,
        nullable=False,
    )

    order = Column(Integer, default=0)
    section_type = Column(String, nullable=False)  # np. description, budget, innovation
    content = Column(String, nullable=True)  # Treść Markdown
    is_approved = Column(Boolean, default=False)
    generated_by_ai = Column(Boolean, default=False)
    last_reviewed_at = Column(DateTime, nullable=True)

    project = relationship(
        "Project", backref=backref("sections", cascade="all, delete-orphan")
    )


class ProjectSectionVersion(Base):
    __tablename__ = "section_versions"

    id = Column(String, primary_key=True, index=True, default=lambda: str(uuid.uuid4()))
    section_id = Column(
        String,
        ForeignKey("project_sections.id", ondelete="CASCADE"),
        index=True,
        nullable=False,
    )

    old_content = Column(String, nullable=True)
    author = Column(String, default="Ręczna")  # np. "Ręczna", "Asystent AI", "Autofix"
    summary = Column(
        String, nullable=True
    )  # krótki opis, np. "Aktualizacja na podstawie audytu"
    timestamp = Column(
        DateTime, default=lambda: datetime.datetime.now(datetime.timezone.utc)
    )

    section = relationship(
        "ProjectSection",
        backref=backref(
            "versions",
            cascade="all, delete-orphan",
            order_by="desc(ProjectSectionVersion.timestamp)",
        ),
    )


class ProjectQuestion(Base):
    __tablename__ = "project_questions"

    id = Column(String, primary_key=True, index=True, default=lambda: str(uuid.uuid4()))
    project_id = Column(
        String,
        ForeignKey("projects.id", ondelete="CASCADE"),
        index=True,
        nullable=False,
    )

    question = Column(String, nullable=False)
    answer = Column(String, nullable=False)
    sources = Column(
        String, nullable=True
    )  # Zapisywanie jako string połączony lub JSON
    confidence = Column(Float, nullable=True)
    recommendation = Column(String, nullable=True)

    created_at = Column(
        DateTime, default=lambda: datetime.datetime.now(datetime.timezone.utc)
    )

    project = relationship(
        "Project", backref=backref("questions_history", cascade="all, delete-orphan")
    )


class ProjectExportVersion(Base):
    __tablename__ = "project_export_versions"

    id = Column(String, primary_key=True, index=True, default=lambda: str(uuid.uuid4()))
    project_id = Column(
        String,
        ForeignKey("projects.id", ondelete="CASCADE"),
        index=True,
        nullable=False,
    )

    version_number = Column(Integer, default=1)
    title = Column(String, nullable=True)  # np. "Wersja Draft"
    export_type = Column(String, default="archived")  # "current" | "archived"
    content_markdown = Column(Text, nullable=True)
    created_at = Column(
        DateTime, default=lambda: datetime.datetime.now(datetime.timezone.utc)
    )

    project = relationship(
        "Project", backref=backref("export_versions", cascade="all, delete-orphan")
    )


class ProjectChatMessage(Base):
    __tablename__ = "project_chat_messages"

    id = Column(String, primary_key=True, index=True, default=lambda: str(uuid.uuid4()))
    project_id = Column(
        String,
        ForeignKey("projects.id", ondelete="CASCADE"),
        index=True,
        nullable=False,
    )

    role = Column(String, nullable=False)  # 'user' or 'assistant'
    content = Column(Text, nullable=False)

    created_at = Column(
        DateTime, default=lambda: datetime.datetime.now(datetime.timezone.utc)
    )

    project = relationship(
        "Project",
        backref=backref(
            "chat_messages",
            cascade="all, delete-orphan",
            order_by="ProjectChatMessage.created_at",
        ),
    )


class ProjectDocument(Base):
    """
    Dokument PDF przesłany przez użytkownika do projektu.
    Po indeksacji trafia do Pinecone (namespace=tenant_{user_id}).

    Statusy:
      uploaded    — plik zapisany, oczekuje na przetworzenie
      processing  — trwa parsowanie PDF i indeksacja w RAG
      indexed     — dostępny w vector store
      error       — błąd parsowania/indeksacji
    """

    __tablename__ = "project_documents"

    id = Column(String, primary_key=True, index=True, default=lambda: str(uuid.uuid4()))
    project_id = Column(
        String,
        ForeignKey("projects.id", ondelete="CASCADE"),
        index=True,
        nullable=False,
    )

    filename = Column(String, nullable=False)
    original_filename = Column(String, nullable=False)
    file_size_bytes = Column(Integer, nullable=True)
    mime_type = Column(String, default="application/pdf")
    doc_type = Column(
        String, default="knowledge_base"
    )  # knowledge_base | external_grant

    # Ścieżka pliku na dysku / URL (np. /data/uploads/{project_id}/{id}.pdf)
    storage_path = Column(String, nullable=True)

    # Pipeline RAG
    status = Column(
        String, default="uploaded"
    )  # uploaded | processing | indexed | error
    parser_used = Column(String, nullable=True)  # llamaparse | pypdf | unstructured
    chunks_count = Column(Integer, nullable=True)  # liczba child chunks w Pinecone
    rag_namespace = Column(String, nullable=True)  # tenant_{user_id}_{project_id}

    error_message = Column(Text, nullable=True)
    processing_metadata = Column(JSON, nullable=True)  # dodatkowe dane z parsera

    uploaded_at = Column(
        DateTime, default=lambda: datetime.datetime.now(datetime.timezone.utc)
    )
    indexed_at = Column(DateTime, nullable=True)

    project = relationship(
        "Project", backref=backref("documents", cascade="all, delete-orphan")
    )