A hand-written memory used to carry a NULL depth, described in the model as "belongs to the adventure rather than to a path". That sounds harmless and is not: a NULL is a coordinate no fork can cap, so a note typed on one line followed the reader onto branches whose story it never described. It takes the head now — the story you were reading when you wrote it — and obeys exactly the rule a summarised memory obeys. The unanchored escape clause in lineage.Path.clause existed for that single case and is deleted rather than left unused. Its docstring argued that a capped depth would drop a typed memory the moment its branch stopped being the newest entry; anchoring answers the same worry better, because the memory is not exempt from the path, it is on one. The drawer now shows the path being read and nothing else, filtered by the clause retrieval itself uses, so the bank you can see is the bank the model can see. Nothing is stranded: a memory lives on a branch, switching to that branch shows it, and deleting the branch deletes it. Pinning decides order, the path decides existence. Migration 62 lands existing NULL-depth memories at depth 0 of their branch rather than at the tip. 0 is at or before every fork point, so every memory stays visible from exactly the paths it is visible from today — nobody's bank loses a row on deploy. The tip is the tidier-sounding choice and would have emptied them out of every branch forked earlier than they were typed. This supersedes the on_path flag and the "another branch" badge from earlier today; anchoring makes them redundant, and they are removed. Four tests changed because they asserted the old contract, not because they broke. The one worth reading is the pair replacing test_a_hand_written_memory_is_not_lost_at_the_first_fork: typed on shared trunk it still survives a fork, and typed on ground the fork never travelled it no longer follows you. 402 tests. Verified on tools/branch_fixture.py: each branch's drawer holds its own memory and not the other's. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_015H5qiyiR7gtFQaoDphHZ3g
452 lines
14 KiB
Python
452 lines
14 KiB
Python
from datetime import datetime
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from typing import Annotated, Literal
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from pydantic import BaseModel, ConfigDict, Field, computed_field
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from . import images
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# Length caps (Phase 9). The VARCHAR ones are correctness, not just abuse
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# limits: Postgres enforces column lengths (SQLite never did), so anything
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# longer must be a 422 here rather than a 500 at INSERT. Text-column caps are
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# generous abuse ceilings a legitimate player won't hit.
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NAME_MAX = 200 # titles/names — VARCHAR(200)
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TAGS_MAX = 500 # VARCHAR(500)
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CARD_TYPE_MAX = 100 # VARCHAR(100)
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PROSE_MAX = 50_000 # memory, author's note, prompts, entries, notes...
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SCRIPT_MAX = 200_000 # one JS source
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ACTION_MAX = 20_000 # one player action
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MEMORY_TEXT_MAX = 5_000
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# A scenario cover image, stored inline as a base64 data URI. 400x300 WebP at
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# the quality the editor encodes lands around 20-40 KB; 400 KB leaves room for
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# a client that downscales less aggressively without letting anyone park a
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# multi-megabyte PNG in a row that gets read on every list request.
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IMAGE_MAX = 400_000
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ICON_MAX = 16 # one emoji/glyph — VARCHAR(16)
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BRANCH_NAME_MAX = 80 # what a player called one line of the story — VARCHAR(80)
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Name = Annotated[str, Field(max_length=NAME_MAX)]
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Tags = Annotated[str, Field(max_length=TAGS_MAX)]
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CardType = Annotated[str, Field(max_length=CARD_TYPE_MAX)]
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Prose = Annotated[str, Field(max_length=PROSE_MAX)]
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ScriptSource = Annotated[str, Field(max_length=SCRIPT_MAX)]
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ActionText = Annotated[str, Field(max_length=ACTION_MAX)]
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Image = Annotated[str, Field(max_length=IMAGE_MAX)]
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Icon = Annotated[str, Field(max_length=ICON_MAX)]
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class ORMModel(BaseModel):
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model_config = ConfigDict(from_attributes=True)
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# ---------- Story cards ----------
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class StoryCardBase(BaseModel):
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type: CardType = ""
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name: Name = ""
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keys: Prose = ""
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entry: Prose = ""
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notes: Prose = ""
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class StoryCardCreate(StoryCardBase):
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scenario_id: int | None = None
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adventure_id: int | None = None
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class StoryCardUpdate(BaseModel):
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type: CardType | None = None
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name: Name | None = None
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keys: Prose | None = None
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entry: Prose | None = None
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notes: Prose | None = None
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class StoryCardOut(ORMModel, StoryCardBase):
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id: int
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scenario_id: int | None
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adventure_id: int | None
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# ---------- Scenarios ----------
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class ScenarioBase(BaseModel):
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title: Name = "Untitled Scenario"
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description: Prose = ""
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prompt: Prose = ""
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memory: Prose = ""
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authors_note: Prose = ""
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ai_instructions: Prose = ""
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tags: Tags = ""
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# Cover art — an https URL or a base64 data URI. See app/images.py.
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image: Image = ""
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# Emoji/glyph shown when `image` is empty.
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icon: Icon = ""
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# Phase 12: RPG world-state template (stat defs, bands, rules, milestones).
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# None means no RPG layer.
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stat_schema: dict | None = None
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class ScenarioCreate(ScenarioBase):
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pass
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class ScenarioUpdate(BaseModel):
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title: Name | None = None
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description: Prose | None = None
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prompt: Prose | None = None
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memory: Prose | None = None
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authors_note: Prose | None = None
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ai_instructions: Prose | None = None
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tags: Tags | None = None
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image: Image | None = None
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icon: Icon | None = None
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stat_schema: dict | None = None
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script_ids: list[int] | None = None
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class ScenarioOut(ORMModel, ScenarioBase):
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id: int
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is_public: bool = False # shared demo content — read-only for everyone
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created_at: datetime
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updated_at: datetime
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story_cards: list[StoryCardOut] = []
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scripts: list["ScriptOut"] = []
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class ScenarioListItem(ORMModel):
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id: int
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title: str
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description: str
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tags: str
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is_public: bool = False
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updated_at: datetime
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# Read off the row so `image_url` can be derived, but excluded from the
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# response: a list of base64 data URIs would be megabytes of JSON.
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image: str = Field("", exclude=True)
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icon: str = ""
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@computed_field
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@property
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def image_url(self) -> str:
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return images.public_url(self.id, self.image, self.updated_at)
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# ---------- Adventures ----------
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class AdventureCreate(BaseModel):
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scenario_id: int | None = None
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title: Name | None = None
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# ${Placeholder} values collected from the player at start (AI Dungeon behavior).
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placeholders: dict[str, str] = {}
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class AdventureUpdate(BaseModel):
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title: Name | None = None
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memory: Prose | None = None
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authors_note: Prose | None = None
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ai_instructions: Prose | None = None
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story_summary: Prose | None = None
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auto_summarize: bool | None = None
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memory_bank_enabled: bool | None = None
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class AdventureRefresh(BaseModel):
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"""Body for "Update from scenario". `placeholders` supplies answers the
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adventure has no stored value for (see AdventureCreate.placeholders); they
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are merged over the stored ones and saved."""
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placeholders: dict[str, str] = {}
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class RefreshPlan(BaseModel):
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"""What a refresh would change — drives the confirm dialog."""
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scenario_id: int
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scenario_title: str
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has_changes: bool
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# field name -> {"old": ..., "new": ...}, only for fields that differ.
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fields: dict[str, dict] = {}
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# {"added"|"updated"|"removed": [card name, ...]}
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cards: dict[str, list[str]] = {}
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# {"added"|"removed": [stat path, ...]} — live values are otherwise kept.
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world_state: dict[str, list[str]] = {}
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# ${Placeholder} names the scenario asks for that the adventure has no
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# stored answer to; the client must collect these and send them back.
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placeholders_needed: list[str] = []
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class ActionOut(ORMModel):
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id: int
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adventure_id: int
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index: int
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type: str
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text: str
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reasoning: str | None = None
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# Phase 12: compact RPG state changes for this turn (from the model property).
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world_changes: list[dict] = []
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# Retry history: how many attempts exist for this turn (0 = never retried)
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# and which one is live. The attempts themselves come from
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# GET /actions/{id}/variants so this payload stays small.
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variant_count: int = 0
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variant_index: int = 0
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created_at: datetime
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class VariantOut(BaseModel):
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# Since SP4 every attempt is its own node, so each one has an id — and the
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# client needs it: forking is addressed by the attempt being taken, not by
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# its ordinal in a group that renumbers whenever one is added.
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id: int
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index: int
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text: str
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reasoning: str | None = None
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created_at: str | None = None
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active: bool = False
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class VariantSelect(BaseModel):
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index: int = Field(ge=0)
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class BranchOut(ORMModel):
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"""One line through the story tree (Phase 14, SP5).
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Enough to draw the tree and nothing more: `fork_depth` is where this line
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leaves its parent and `depth` is where it currently ends, so a fork is two
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numbers rather than a walk. `own_actions` counts the turns played on this
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branch itself — the rest of its story is borrowed from its ancestors, which
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is the whole point and also why the number is smaller than the reader
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expects.
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"""
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id: int
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parent_branch_id: int | None = None
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fork_depth: int | None = None
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depth: int
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own_actions: int = 0
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is_head: bool = False
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# NULL for a branch nobody has named. The client draws those from the fork
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# depth rather than the server inventing one — see the column comment.
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name: str | None = None
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created_at: datetime
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class BranchRename(BaseModel):
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"""A name a player chose, or `null` to go back to being unnamed."""
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name: Annotated[str, Field(max_length=BRANCH_NAME_MAX)] | None = None
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class ActionUpdate(BaseModel):
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text: ActionText
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class ActionCreate(BaseModel):
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type: Literal["do", "say", "story", "continue"]
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text: ActionText = ""
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class AdventureOut(ORMModel):
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id: int
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scenario_id: int | None
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title: str
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memory: str
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authors_note: str
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ai_instructions: str
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story_summary: str
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auto_summarize: bool
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memory_bank_enabled: bool
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created_at: datetime
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updated_at: datetime
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story_cards: list[StoryCardOut] = []
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# The NEWEST window of the story, not all of it — older pages arrive from
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# GET /{id}/actions as the reader scrolls up. `action_count` is the whole
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# story's length, which is how the client knows there is more above.
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actions: list[ActionOut] = []
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action_count: int = 0
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class ActionPage(BaseModel):
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"""A slice of the story, counted back from the newest action."""
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actions: list[ActionOut] = []
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total: int = 0
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# Whether anything older than this slice exists. Computed server-side so
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# the client never has to do arithmetic on positions to find the end.
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has_more: bool = False
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# ---------- Memory bank (Phase 6) ----------
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class MemoryOut(ORMModel):
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id: int
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adventure_id: int
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text: str
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pinned: bool
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forgotten: bool
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embedded: bool # model property: embedding vector present
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use_count: int
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last_used_at: datetime | None
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source_start: int | None
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source_end: int | None
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created_at: datetime
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class MemoryCreate(BaseModel):
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text: Annotated[str, Field(max_length=MEMORY_TEXT_MAX)]
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class MemoryUpdate(BaseModel):
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text: Annotated[str, Field(max_length=MEMORY_TEXT_MAX)] | None = None
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pinned: bool | None = None
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forgotten: bool | None = None
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class AdventureListItem(ORMModel):
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id: int
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scenario_id: int | None
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scenario_title: str | None = None
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title: str
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updated_at: datetime
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action_count: int = 0
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# "Where you left off" — the tail of the most recent narrative beat, so a
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# Continue card can show the story instead of just a turn count.
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snippet: str = ""
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# Cover art inherited from the parent scenario (see app/images.py).
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image_url: str = ""
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icon: str = ""
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# ---------- Scripts ----------
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class ScriptBase(BaseModel):
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name: Name = "Untitled Script"
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description: Prose = ""
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library_js: ScriptSource = ""
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input_js: ScriptSource = ""
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context_js: ScriptSource = ""
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output_js: ScriptSource = ""
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class ScriptCreate(ScriptBase):
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pass
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class ScriptUpdate(BaseModel):
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name: Name | None = None
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description: Prose | None = None
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library_js: ScriptSource | None = None
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input_js: ScriptSource | None = None
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context_js: ScriptSource | None = None
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output_js: ScriptSource | None = None
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class ScriptOut(ORMModel, ScriptBase):
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id: int
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created_at: datetime
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updated_at: datetime
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class ScriptTestRequest(BaseModel):
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hook: Literal["input", "context", "output"]
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text: Prose = ""
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state: dict = {}
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class AdventureScriptOut(ORMModel):
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id: int
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adventure_id: int
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position: int
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enabled: bool
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name: str
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description: str
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library_js: str
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input_js: str
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context_js: str
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output_js: str
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# Set by the router (not stored): True when a syncable library version
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# exists whose code differs from this copy; None when nothing to sync.
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out_of_date: bool | None = None
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class AdventureScriptUpdate(BaseModel):
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enabled: bool | None = None
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library_js: ScriptSource | None = None
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input_js: ScriptSource | None = None
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context_js: ScriptSource | None = None
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output_js: ScriptSource | None = None
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# ---------- Auth (Phase 8) ----------
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class AuthCredentials(BaseModel):
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email: Annotated[str, Field(max_length=320)] # VARCHAR(320)
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# Upper bound keeps scrypt cost flat — hashing megabyte "passwords" is CPU
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# an attacker would otherwise get for free.
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password: Annotated[str, Field(max_length=128)]
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# ---------- Settings ----------
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class SettingsOut(ORMModel):
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endpoint_url: str
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# The key itself is never echoed back (encrypted at rest, write-only).
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has_api_key: bool
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model: str
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api_mode: str
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temperature: float
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max_output_tokens: int
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reasoning_max_tokens: int
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context_token_budget: int
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narrator_prompt: str
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stream: bool
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summary_model: str
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embedding_model: str
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memory_bank_capacity: int
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memory_top_k: int
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ScenarioOut.model_rebuild()
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# ---------- AI Chat (power users) ----------
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# A scratchpad for talking to a model directly, with no story framing. Nothing
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# is persisted server-side, so these caps are purely per-request abuse limits.
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CHAT_MESSAGE_MAX = 100_000 # one message
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CHAT_TOTAL_MAX = 400_000 # whole conversation sent up per request
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CHAT_MESSAGES_MAX = 200 # turns per request
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class ChatMessage(BaseModel):
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role: Literal["system", "user", "assistant"]
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content: Annotated[str, Field(max_length=CHAT_MESSAGE_MAX)]
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class ChatRequest(BaseModel):
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messages: Annotated[list[ChatMessage], Field(min_length=1, max_length=CHAT_MESSAGES_MAX)]
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# Empty/omitted = fall back to the user's configured model.
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model: Name | None = None
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temperature: Annotated[float, Field(ge=0, le=5)] | None = None
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max_tokens: Annotated[int, Field(ge=1, le=100_000)] | None = None
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class SettingsUpdate(BaseModel):
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endpoint_url: Annotated[str, Field(max_length=500)] | None = None # VARCHAR(500)
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# Encryption expands the stored value ~4/3 into the same VARCHAR(500):
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# 256 plaintext chars is the largest safe input ("enc:" + Fernet + base64).
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api_key: Annotated[str, Field(max_length=256)] | None = None
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model: Name | None = None
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api_mode: Annotated[str, Field(max_length=20)] | None = None
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temperature: Annotated[float, Field(ge=0, le=5)] | None = None
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max_output_tokens: Annotated[int, Field(ge=1, le=100_000)] | None = None
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# -1 = explicitly off (sends `reasoning: {effort: none}`); 0 = send nothing.
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reasoning_max_tokens: Annotated[int, Field(ge=-1, le=100_000)] | None = None
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context_token_budget: Annotated[int, Field(ge=256, le=200_000)] | None = None
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narrator_prompt: Prose | None = None
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stream: bool | None = None
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summary_model: Name | None = None
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embedding_model: Name | None = None
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memory_bank_capacity: Annotated[int, Field(ge=1, le=1000)] | None = None
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memory_top_k: Annotated[int, Field(ge=1, le=50)] | None = None
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