creator/backend/models.py

from pydantic import BaseModel, Field
from typing import Literal

FormatType = Literal[
    "OnePager",
    "MiniGuide",
    "Guide",
    "FullGuide",
]

ProviderType = Literal["claude", "minimax", "lokal"]


class GuideCreateRequest(BaseModel):
    topic: str = Field(min_length=1, max_length=100)
    format: FormatType
    instructions: str = Field(default="", max_length=2000)
    provider: ProviderType = "claude"


class TopicCreateRequest(BaseModel):
    name: str = Field(min_length=1, max_length=100)


class BausteineCreateRequest(BaseModel):
    topic: str = Field(min_length=1, max_length=100)
    instructions: str = Field(default="", max_length=2000)
    provider: ProviderType = "claude"


class BausteineStep(BaseModel):
    label: str
    state: Literal["done", "active", "pending"]


class BausteineStatusResponse(BaseModel):
    ready: bool
    generating: bool
    progress: str | None = None
    error: str | None = None
    partial: bool = False
    steps: list[BausteineStep] = []


class ProjectResponse(BaseModel):
    name: str


class ProviderInfo(BaseModel):
    id: str
    available: bool


class GuideResponse(BaseModel):
    id: str
    topic: str
    format: str
    status: str
    progress: str | None = None
    step: int | None = None
    error_msg: str | None = None
    created_at: str
    updated_at: str


class ChatMessage(BaseModel):
    role: Literal["user", "assistant"]
    content: str = Field(min_length=1, max_length=8000)


class GuideChatRequest(BaseModel):
    section: str = Field(default="", max_length=20000)
    outline: str = Field(default="", max_length=8000)
    messages: list[ChatMessage] = Field(min_length=1)
    provider: ProviderType = "claude"


class GuideChatResponse(BaseModel):
    reply: str


class ElementResponse(BaseModel):
    id: str
    topic: str
    title: str
    description: str = ""
    examples: list[str] = []
    hints: list[str] = []
    created_at: str
    updated_at: str


class ElementCreateRequest(BaseModel):
    topic: str = Field(min_length=1, max_length=100)
    hint: str = Field(default="", max_length=500)
    provider: ProviderType = "claude"


class ElementUpdateRequest(BaseModel):
    title: str | None = Field(default=None, max_length=200)
    description: str | None = None
    examples: list[str] | None = None
    hints: list[str] | None = None


class ElementCheckRequest(BaseModel):
    provider: ProviderType = "claude"


class ElementSuggestion(BaseModel):
    text: str
    target: Literal["description", "examples", "hints"]
    content: str


class ElementCheckResponse(BaseModel):
    suggestions: list[ElementSuggestion]


class ElementStyleChange(BaseModel):
    text: str
    action: Literal["entfernen", "anpassen", "hinzufuegen"]
    target: Literal["title", "description", "examples", "hints"]
    index: int | None = None
    content: str = ""


class ElementStyleResponse(BaseModel):
    changes: list[ElementStyleChange]


class ElementChatRequest(BaseModel):
    messages: list[ChatMessage] = Field(min_length=1)
    provider: ProviderType = "claude"


class ElementChatResponse(BaseModel):
    reply: str
    changes: list[ElementStyleChange] = []


class ElementRefineRequest(BaseModel):
    suggestion: ElementStyleChange
    instruction: str = Field(min_length=1, max_length=2000)
    provider: ProviderType = "claude"


class ElementRefineResponse(BaseModel):
    change: ElementStyleChange


class ProgressUpdate(BaseModel):
    chapter: str = Field(min_length=1, max_length=100)
    done: bool


class ProgressResponse(BaseModel):
    chapters: list[str]


# --- Baustein-Lernen ---

VertiefungArt = Literal["vertiefung", "deepdive"]


class VertiefungRequest(BaseModel):
    topic: str = Field(min_length=1, max_length=100)
    baustein: str = Field(min_length=1, max_length=200)
    section: str = Field(default="", max_length=20000)
    art: VertiefungArt = "vertiefung"
    provider: ProviderType = "claude"


class VertiefungResponse(BaseModel):
    md: str


class BausteinChatRequest(BaseModel):
    topic: str = Field(min_length=1, max_length=100)
    baustein: str = Field(min_length=1, max_length=200)
    section: str = Field(default="", max_length=20000)
    messages: list[ChatMessage] = Field(min_length=1)
    provider: ProviderType = "claude"


class BausteinChatResponse(BaseModel):
    reply: str


class BausteinPruefungRequest(BaseModel):
    topic: str = Field(min_length=1, max_length=100)
    baustein: str = Field(min_length=1, max_length=200)
    section: str = Field(default="", max_length=20000)
    aktion: Literal["frage", "diskussion", "antwort", "antwort_pruefen"] = "frage"
    frage: str = Field(default="", max_length=2000)  # aktuell geprüfte Frage (für diskussion/antwort)
    letzte_bewertung: str = Field(default="", max_length=2000)  # Feedback der letzten Bewertung (Kontext für diskussion)
    score_vor_frage: int = 0  # Score, als die Frage gestellt wurde → driftfreies (Re-)Bewerten
    streak: int = 0  # Folge korrekter Antworten VOR dieser Frage (Streak-Bonus)
    tier2: bool = False  # ganzer Guide absolviert (alle ≥3) → −1 bei falsch, Deckel 10
    tier3: bool = False  # ganzer Guide verstanden (alle ≥10) → Meisterpfad, −2 bei falsch, Deckel 25
    messages: list[ChatMessage] = []  # Dialog bisher; leer = erste Frage
    provider: ProviderType = "claude"


class BausteinPruefungResponse(BaseModel):
    frage: str | None = None
    reply: str | None = None
    feedback: str | None = None
    bewertung: Literal["gut", "schlecht"] | None = None
    gute_antworten: int
    absolviert: bool
    verstanden: bool = False
    gemeistert: bool = False


class BausteinLernstand(BaseModel):
    gute_antworten: int
    absolviert: bool
    verstanden: bool
    gemeistert: bool
    vertiefung: bool
    deepdive: bool


class BausteinLernstandResponse(BaseModel):
    bausteine: dict[str, BausteinLernstand]