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interactive-story/backend/app/models.py
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parththakkar106andClaude Opus 4.8 82fb6c8535 Reasoning-model UX: better empty-response error, higher default budget, live link 
- When a model streams reasoning but no story text, return a specific,
  actionable error (raise Max output tokens / set a reasoning cap / use a
  non-reasoning model) instead of the opaque "empty response".
- Bump default max_output_tokens 400 -> 800: 400 truncated scenes and
  left reasoning models with no room after thinking. Affects new settings
  rows; existing users keep their value.
- README: add a "Try it live" link to the Render deployment.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TEpWMjnfPqzZ13nPMoGhs5
2026-07-20 17:05:29 +05:30

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from datetime import datetime, timezone
from sqlalchemy import (
JSON, Boolean, Column, DateTime, Float, ForeignKey, Integer, String, Table, Text,
)
from sqlalchemy.orm import Mapped, mapped_column, relationship
from .database import Base
def utcnow() -> datetime:
return datetime.now(timezone.utc)
class User(Base):
"""Phase 8 — optional accounts.
Three kinds of rows share this table:
- the "local user" (email NULL, is_guest False): auto-created in
single-user/local mode; owns everything a pre-Phase-8 DB had;
- guests (email NULL, is_guest True): created on first visit in
multi-user mode, identified only by their session cookie;
- registered users (email set): a guest upgraded in place, so their
data survives registration with no re-parenting.
"""
__tablename__ = "users"
id: Mapped[int] = mapped_column(primary_key=True)
email: Mapped[str | None] = mapped_column(String(320), unique=True, nullable=True)
password_hash: Mapped[str | None] = mapped_column(String(300), nullable=True)
is_guest: Mapped[bool] = mapped_column(Boolean, default=True)
created_at: Mapped[datetime] = mapped_column(DateTime, default=utcnow)
last_seen_at: Mapped[datetime | None] = mapped_column(DateTime, nullable=True)
# Shared demo key usage (resets when the UTC date changes).
demo_turns_used: Mapped[int] = mapped_column(Integer, default=0)
demo_turns_date: Mapped[str] = mapped_column(String(10), default="")
scenario_scripts = Table(
"scenario_scripts",
Base.metadata,
Column("scenario_id", ForeignKey("scenarios.id", ondelete="CASCADE"), primary_key=True),
Column("script_id", ForeignKey("scripts.id", ondelete="CASCADE"), primary_key=True),
)
class Scenario(Base):
__tablename__ = "scenarios"
id: Mapped[int] = mapped_column(primary_key=True)
# NULL owner + is_public = seeded demo content, readable by everyone.
user_id: Mapped[int | None] = mapped_column(
ForeignKey("users.id", ondelete="CASCADE"), nullable=True
)
is_public: Mapped[bool] = mapped_column(Boolean, default=False)
title: Mapped[str] = mapped_column(String(200), default="Untitled Scenario")
description: Mapped[str] = mapped_column(Text, default="")
prompt: Mapped[str] = mapped_column(Text, default="")
# Plot components (AI Dungeon terminology; `memory` == Plot Essentials)
memory: Mapped[str] = mapped_column(Text, default="")
authors_note: Mapped[str] = mapped_column(Text, default="")
ai_instructions: Mapped[str] = mapped_column(Text, default="")
tags: Mapped[str] = mapped_column(String(500), default="")
created_at: Mapped[datetime] = mapped_column(DateTime, default=utcnow)
updated_at: Mapped[datetime] = mapped_column(DateTime, default=utcnow, onupdate=utcnow)
story_cards: Mapped[list["StoryCard"]] = relationship(
back_populates="scenario", cascade="all, delete-orphan"
)
adventures: Mapped[list["Adventure"]] = relationship(back_populates="scenario")
scripts: Mapped[list["Script"]] = relationship(secondary=scenario_scripts)
class Adventure(Base):
__tablename__ = "adventures"
id: Mapped[int] = mapped_column(primary_key=True)
user_id: Mapped[int | None] = mapped_column(
ForeignKey("users.id", ondelete="CASCADE"), nullable=True
)
scenario_id: Mapped[int | None] = mapped_column(
ForeignKey("scenarios.id", ondelete="SET NULL"), nullable=True
)
title: Mapped[str] = mapped_column(String(200), default="Untitled Adventure")
memory: Mapped[str] = mapped_column(Text, default="")
authors_note: Mapped[str] = mapped_column(Text, default="")
ai_instructions: Mapped[str] = mapped_column(Text, default="")
story_summary: Mapped[str] = mapped_column(Text, default="")
script_state: Mapped[dict] = mapped_column(JSON, default=dict)
# Phase 6: opt-in per adventure (extra AI calls)
auto_summarize: Mapped[bool] = mapped_column(Boolean, default=False)
memory_bank_enabled: Mapped[bool] = mapped_column(Boolean, default=False)
# How many actions have already been folded into memories / the story summary.
memory_cursor: Mapped[int] = mapped_column(Integer, default=0)
summary_cursor: Mapped[int] = mapped_column(Integer, default=0)
created_at: Mapped[datetime] = mapped_column(DateTime, default=utcnow)
updated_at: Mapped[datetime] = mapped_column(DateTime, default=utcnow, onupdate=utcnow)
scenario: Mapped[Scenario | None] = relationship(back_populates="adventures")
story_cards: Mapped[list["StoryCard"]] = relationship(
back_populates="adventure", cascade="all, delete-orphan"
)
actions: Mapped[list["Action"]] = relationship(
back_populates="adventure",
cascade="all, delete-orphan",
order_by="Action.index",
)
scripts: Mapped[list["AdventureScript"]] = relationship(
back_populates="adventure",
cascade="all, delete-orphan",
order_by="AdventureScript.position",
)
memories: Mapped[list["Memory"]] = relationship(
back_populates="adventure",
cascade="all, delete-orphan",
order_by="Memory.id",
)
class Memory(Base):
"""Phase 6: an auto-summarized (or hand-written) fact about the adventure.
`embedding` is the raw vector as a JSON list (cosine ranking happens in
Python — fine at bank sizes of a few hundred). NULL until embedded, which
also marks it for backfill when an embedding model becomes available.
"""
__tablename__ = "memories"
id: Mapped[int] = mapped_column(primary_key=True)
adventure_id: Mapped[int] = mapped_column(ForeignKey("adventures.id", ondelete="CASCADE"))
text: Mapped[str] = mapped_column(Text, default="")
embedding: Mapped[list | None] = mapped_column(JSON, nullable=True)
# Action index range this memory summarizes (null for manual memories).
source_start: Mapped[int | None] = mapped_column(Integer, nullable=True)
source_end: Mapped[int | None] = mapped_column(Integer, nullable=True)
pinned: Mapped[bool] = mapped_column(Boolean, default=False)
forgotten: Mapped[bool] = mapped_column(Boolean, default=False) # evicted, kept for UI
use_count: Mapped[int] = mapped_column(Integer, default=0)
last_used_at: Mapped[datetime | None] = mapped_column(DateTime, nullable=True)
created_at: Mapped[datetime] = mapped_column(DateTime, default=utcnow)
adventure: Mapped[Adventure] = relationship(back_populates="memories")
@property
def embedded(self) -> bool:
return self.embedding is not None
class StoryCard(Base):
"""Owned by either a scenario or an adventure (exactly one set)."""
__tablename__ = "story_cards"
id: Mapped[int] = mapped_column(primary_key=True)
scenario_id: Mapped[int | None] = mapped_column(
ForeignKey("scenarios.id", ondelete="CASCADE"), nullable=True
)
adventure_id: Mapped[int | None] = mapped_column(
ForeignKey("adventures.id", ondelete="CASCADE"), nullable=True
)
type: Mapped[str] = mapped_column(String(100), default="")
name: Mapped[str] = mapped_column(String(200), default="")
keys: Mapped[str] = mapped_column(Text, default="") # comma-separated triggers
entry: Mapped[str] = mapped_column(Text, default="")
notes: Mapped[str] = mapped_column(Text, default="")
scenario: Mapped[Scenario | None] = relationship(back_populates="story_cards")
adventure: Mapped[Adventure | None] = relationship(back_populates="story_cards")
class Action(Base):
__tablename__ = "actions"
id: Mapped[int] = mapped_column(primary_key=True)
adventure_id: Mapped[int] = mapped_column(ForeignKey("adventures.id", ondelete="CASCADE"))
index: Mapped[int] = mapped_column(Integer)
type: Mapped[str] = mapped_column(String(20)) # start|do|say|story|continue|ai
text: Mapped[str] = mapped_column(Text, default="")
# Reasoning-model "thinking" that preceded the text (AI actions only).
reasoning: Mapped[str | None] = mapped_column(Text, nullable=True)
context_snapshot: Mapped[dict | None] = mapped_column(JSON, nullable=True)
created_at: Mapped[datetime] = mapped_column(DateTime, default=utcnow)
adventure: Mapped[Adventure] = relationship(back_populates="actions")
class Script(Base):
__tablename__ = "scripts"
id: Mapped[int] = mapped_column(primary_key=True)
user_id: Mapped[int | None] = mapped_column(
ForeignKey("users.id", ondelete="CASCADE"), nullable=True
)
name: Mapped[str] = mapped_column(String(200), default="Untitled Script")
description: Mapped[str] = mapped_column(Text, default="")
library_js: Mapped[str] = mapped_column(Text, default="")
input_js: Mapped[str] = mapped_column(Text, default="")
context_js: Mapped[str] = mapped_column(Text, default="")
output_js: Mapped[str] = mapped_column(Text, default="")
created_at: Mapped[datetime] = mapped_column(DateTime, default=utcnow)
updated_at: Mapped[datetime] = mapped_column(DateTime, default=utcnow, onupdate=utcnow)
class AdventureScript(Base):
"""A script copied into an adventure at creation, so library edits don't
change running adventures. `state` lives on Adventure.script_state (one
shared state per adventure, as in AI Dungeon)."""
__tablename__ = "adventure_scripts"
id: Mapped[int] = mapped_column(primary_key=True)
adventure_id: Mapped[int] = mapped_column(ForeignKey("adventures.id", ondelete="CASCADE"))
position: Mapped[int] = mapped_column(Integer, default=0)
enabled: Mapped[bool] = mapped_column(Boolean, default=True)
name: Mapped[str] = mapped_column(String(200), default="Untitled Script")
description: Mapped[str] = mapped_column(Text, default="")
library_js: Mapped[str] = mapped_column(Text, default="")
input_js: Mapped[str] = mapped_column(Text, default="")
context_js: Mapped[str] = mapped_column(Text, default="")
output_js: Mapped[str] = mapped_column(Text, default="")
adventure: Mapped[Adventure] = relationship(back_populates="scripts")
class Settings(Base):
__tablename__ = "settings"
id: Mapped[int] = mapped_column(primary_key=True)
# Phase 8: one row per user (pre-Phase-8 DBs had a single id=1 row, which
# the migration assigns to the local user).
user_id: Mapped[int | None] = mapped_column(
ForeignKey("users.id", ondelete="CASCADE"), nullable=True, unique=True
)
endpoint_url: Mapped[str] = mapped_column(String(500), default="http://localhost:11434/v1")
# Fernet-encrypted at rest ("enc:..." — see security.py); use api_key_plain.
api_key: Mapped[str] = mapped_column(String(500), default="")
model: Mapped[str] = mapped_column(String(200), default="")
api_mode: Mapped[str] = mapped_column(String(20), default="chat") # chat|completion
temperature: Mapped[float] = mapped_column(Float, default=0.8)
# 800 leaves room for a full scene; 400 tended to truncate mid-paragraph
# and left reasoning models with nothing after their thinking.
max_output_tokens: Mapped[int] = mapped_column(Integer, default=800)
# Separate thinking budget for reasoning models (OpenRouter-style
# `reasoning: {max_tokens}`); 0 = param not sent. Added on top of
# max_output_tokens so story output keeps its full budget.
reasoning_max_tokens: Mapped[int] = mapped_column(Integer, default=0)
context_token_budget: Mapped[int] = mapped_column(Integer, default=4096)
narrator_prompt: Mapped[str] = mapped_column(
Text,
default=(
"You are a masterful storyteller continuing an interactive adventure. "
"Continue the story naturally in second person, staying consistent with "
"everything established so far. Write vivid prose. Never speak for the "
"player or break character. Do not conclude the story; always leave room "
"for the player's next action."
),
)
stream: Mapped[bool] = mapped_column(Boolean, default=True)
# Phase 6: auto-summarization + memory bank
summary_model: Mapped[str] = mapped_column(String(200), default="") # "" = main model
embedding_model: Mapped[str] = mapped_column(String(200), default="") # "" = bank disabled
memory_bank_capacity: Mapped[int] = mapped_column(Integer, default=200)
memory_top_k: Mapped[int] = mapped_column(Integer, default=5)
@property
def has_api_key(self) -> bool:
return bool(self.api_key)
@property
def api_key_plain(self) -> str:
from . import security # local import: models is imported before security
return security.decrypt_secret(self.api_key)
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