interactive-story/backend/app/routers/adventures/turns.py

"""Playing a turn: the model call, the SSE stream, and the one-turn-at-a-time lock.

Everything a test needs to intercept lives here, and other modules reach it as
`turns.<name>` rather than importing it by value. That matters twice. The turn
lock guards one set only while one module owns it. And a test that replaces
`OpenAICompatibleProvider` or `generate_turn` patches this module, which every
caller reads through.
"""
import threading

from fastapi import Depends, HTTPException, Request
from fastapi.responses import StreamingResponse
from sqlalchemy.orm import Session

from ... import (
    attempts, head, limits, memorybank, models, narrative, schemas, tree,
    worldstate,
)
from ... import contextwindow
from ...context import ContextOverflow, build_context, cursors
from ...knowledge import retrieval as knowledge_retrieval
from ...database import get_db
from ...providers import OpenAICompatibleProvider, PromptParts, ProviderError
from ...sse import SSE_HEADERS, sse, turn_error
from ..settings import get_settings

from .deps import CurrentUser, current_adventure, router
from .nodes import _move_to_after, next_depth
from .paging import annotate_takes


def world_delta_of(snapshot: dict | None) -> dict | None:
    """Returns the bulk-read slice of a context snapshot, for `Action.world_delta`.

    `context_snapshot` is deferred because it holds the whole assembled prompt.
    The parts that every action needs get their own small column instead: the
    world-change chips, the emit block replayed into history, and the refusal
    note fed back to the model. Update this function wherever a snapshot is
    written.

    Carry all three report lists, not just `applied`. `Action.world_changes`
    marks a chip from `clamped` and builds its refusal chips from `rejected`,
    and `worldstate.refusals` reads both. Storing `applied` alone left every
    consumer unable to tell a refused change from one that worked, which is the
    distinction this column exists to carry. The two extra lists are subsets of
    one turn's block, so they cost a few hundred bytes per action at most.
    """
    ws = (snapshot or {}).get("world_state")
    if not isinstance(ws, dict):
        return None
    report = ws.get("report") or {}
    return {
        "delta": ws.get("delta") or {},
        "applied": report.get("applied") or [],
        "clamped": report.get("clamped") or [],
        "rejected": report.get("rejected") or [],
    }


# One turn at a time per adventure. The set lives in memory, which is enough for
# a single-process local app. Sync endpoints run in a threadpool, so the
# check-and-add needs a lock. The check also has to run during the request
# rather than when the SSE generator first runs. Otherwise two rapid requests
# both pass the check and generate concurrently.
_active_turns: set[int] = set()
_active_turns_guard = threading.Lock()


def acquire_turn_lock(adventure_id: int):
    """Claims the adventure's turn slot atomically. `with_turn_lock` releases it."""
    with _active_turns_guard:
        if adventure_id in _active_turns:
            raise HTTPException(409, "A turn is already generating for this adventure.")
        _active_turns.add(adventure_id)


async def with_turn_lock(adventure_id: int, gen):
    """Wraps an SSE generator so that it releases the `acquire_turn_lock` lock."""
    try:
        async for event in gen:
            yield event
    finally:
        _active_turns.discard(adventure_id)


#: Openings that mean the reader has already written the subject of the sentence.
#:
#: Matched as whole words, longest first, so "I'm" is recognised before "I".
_FIRST_PERSON = ("i ", "i'm ", "i've ", "i'll ", "i'd ", "my ", "we ", "we're ")


def format_player_input(action_type: str, text: str) -> str:
    """Formats player input the way AI Dungeon does — with one M8 correction.

    The convention is a `>` marker and second person: typing `look around` in
    the old Do mode stored `> You look around.`, which reads correctly and shows
    the model whose turn it is.

    **M8 broke that assumption and this repairs it.** `BROWSER-UX-SPEC.md` §12
    replaced the Do/Say/Story selector with one natural-language field, and §11
    tells the reader to write sentences like *"I enter the tavern."* Prefixing
    that produced `> You I enter the tavern.` — in the transcript, in the
    replayed history, and therefore in the narration, where a small model
    imitates it and writes "You I thank her". It was visible in the very first
    browser pass of the new composer.

    So the prefix is added only when the reader has *not* already written a
    subject. First person is left alone; everything else keeps the old
    behaviour, and the `>` marker is unchanged in every case, because that is
    what actually distinguishes a player turn in the prompt.

    Storage is unchanged for text that was already formatted — see
    `test_take_parentage.py`, which guards against `> You > You ...`.
    """
    text = text.strip()
    if action_type == "say":
        text = text.strip('"')
        if text and text[-1] not in ".!?…":
            text += "."
        return f'> You say "{text}"'
    if action_type == "do":
        if text.lower().startswith("you "):
            text = text[4:]
        if text and text[-1] not in ".!?…":
            text += "."
        lowered = text.lower()
        if any(lowered.startswith(opening) for opening in _FIRST_PERSON):
            return f"> {text}"
        return f"> You {text}"
    return text  # The "story" type is appended as raw text.


def action_json(action: models.Action, db: Session | None = None) -> dict:
    """Serializes one action for the wire.

    Passing `db` fills in the pager numbers, and a turn that was just played must
    pass it. The attempt that turn created is often the second one at its
    coordinate, so the message needs a pager that the client cannot infer from a
    count of one. Without `db`, a retry showed no pager until the page reloaded.
    The adventure GET has the same requirement and builds its window a third way.
    """
    if db is not None:
        annotate_takes(db, action.adventure_id, [action])
    return schemas.ActionOut.model_validate(action).model_dump(mode="json")


async def generate_turn(
    adventure: models.Adventure,
    db: Session,
    user: models.User,
    retry_of: models.Action | None = None,
):
    """Streams the AI continuation as SSE, then stores the result.

    If `retry_of` is set, the result is stored as a sibling of that AI action, at
    the same turn and the same coordinate, and the discarded attempt stays where
    it was written. Before calling, the caller must roll the adventure back to
    the state before that turn. See `retry_action`. If this generator ends
    without saving, the rollback is undone, so the state cannot diverge from the
    text on screen.
    """
    saved = False
    try:
        async for event in _generate_turn(adventure, db, user, retry_of):
            if event is _SAVED:
                saved = True
                continue
            yield event
    finally:
        if retry_of is not None and not saved:
            # The turn failed with a provider error, an empty reply, or a
            # disconnected client. No sibling was written, so the
            # attempt on screen is still the live one. Restore the state it
            # produced.
            attempts.restore_state(adventure, retry_of)
            db.commit()


# `_generate_turn` yields this sentinel once the action is committed. It tells
# the wrapper above to leave the rollback in place rather than reverse it.
_SAVED = object()


async def _generate_turn(
    adventure: models.Adventure,
    db: Session,
    user: models.User,
    retry_of: models.Action | None = None,
):
    settings = get_settings(db, user)
    # On a retry, the attempt being replaced is still the live node of its turn,
    # because it stays live until a replacement exists. Filter it out of the
    # context. Otherwise the model reads the attempt it is replacing as
    # established story and writes a sequel to it.
    replacing_id = retry_of.id if retry_of is not None else None
    memories = await memorybank.retrieve_memories(
        adventure, settings, update_stats=True, exclude_action_id=replacing_id
    )
    # M7: the imported library, retrieved for the position being read. Excluding
    # the attempt being replaced matters here for the same reason it does for
    # memories — the query is built from the recent story, and a discarded
    # attempt must not steer which passages the replacement is given.
    knowledge = await knowledge_retrieval.retrieve(
        adventure, settings, exclude_action_id=replacing_id
    )
    # M11: what this server will actually accept. Asked here rather than inside
    # the builder for the same reason retrieval is — the builder makes no
    # network calls — and cached per endpoint and model, so it costs one short
    # request per session rather than one per turn. An unverified window does
    # not block the turn; it is recorded as unverified in the snapshot below.
    window = await contextwindow.probe(settings.endpoint_url, settings.model)
    try:
        system_text, story_text, snapshot = build_context(
            adventure,
            settings,
            memories,
            exclude_action_id=replacing_id,
            knowledge=knowledge,
            window=window,
        )
    except ContextOverflow as exc:
        # M6: the protected context does not fit in the configured budget, so
        # there is no prompt to send. This is a settings problem the reader can
        # fix, and the message says how — reporting it as a failed turn keeps
        # the story intact and tells them what to change, where building the
        # prompt anyway would return a silently truncated reply.
        yield turn_error(str(exc))
        return

    parts = PromptParts(system=system_text, story=story_text)

    provider = OpenAICompatibleProvider(
        settings.endpoint_url, settings.model, settings.api_mode,
        settings.model_timeout_seconds,
    )
    chunks: list[str] = []
    reasoning_chunks: list[str] = []
    try:
        async for kind, chunk in provider.generate(
            parts, temperature=settings.temperature, max_tokens=settings.max_output_tokens
        ):
            if kind == "reasoning":
                reasoning_chunks.append(chunk)
                yield sse({"type": "reasoning", "text": chunk})
            else:
                chunks.append(chunk)
                yield sse({"type": "chunk", "text": chunk})
    except ProviderError as exc:
        yield turn_error(str(exc))
        return

    text = "".join(chunks).strip()
    # The model's literal reply, kept for the Insights "Raw AI output" view. It
    # still contains the world-state block, which the code below strips.
    raw_output = text
    if not text:
        # The model streamed reasoning but no story text, so it spent its whole
        # budget on reasoning. Report that rather than "empty response".
        if reasoning_chunks:
            detail = (
                "The model used its entire token budget on reasoning and returned no "
                'story text. Raise "Max output tokens" in Settings, set a "Reasoning '
                'max tokens" cap, or switch to a non-reasoning model.'
            )
        else:
            detail = "The AI returned an empty response."
        yield turn_error(detail)
        return

    # M5: read the typed state proposal out of the reply, validate it, apply
    # what survives, and strip the block from the displayed text.
    #
    # This replaced the Phase 12 relative-delta pipeline. The shape of the turn
    # is unchanged — extract, referee, snapshot — because ADR 010 changed the
    # protocol, not the lifecycle. What changed is that the referee now works on
    # explicit typed events with absolute values, so an accepted proposal cannot
    # mean something other than it says.
    #
    # A retry re-runs the same turn, so it is played at that turn's depth. This
    # was `retry_of.index`, which held the same number until SP4. Depth stays
    # correct once a branch has its own numbering.
    ai_depth = retry_of.depth if retry_of is not None else next_depth(adventure)

    text, parsed, raw_block = narrative.extract.split(text)
    if not text.strip():
        yield turn_error("The AI returned only a state update and no story text.")
        return
    review = narrative.validate.review(
        parsed if parsed is not None else {"events": []},
        narrative.store.current(adventure),
        narrative.store.canon_of(adventure),
    )
    # Held until the action exists, because a proposal record names the node
    # whose narration produced it and the node has no id yet. Everything lands
    # in the single commit below (L01).
    # The coordinate is read off the node after it is placed, not guessed here:
    # `tree.place_action` assigns the branch, and a retry inherits the branch of
    # the attempt it replaces.
    pending_state = {
        "review": review,
        "parsed": parsed,
        "raw_block": raw_block,
        "unparseable": parsed is None and bool(raw_block),
    }
    snapshot["narrative_state"] = {
        "accepted": review.accepted,
        "rejected": [r.as_dict() for r in review.rejected],
        "status": review.status,
    }

    snapshot["raw_output"] = raw_output
    # The cost the endpoint reports for the call, including how much of the
    # prompt came from cache rather than being billed in full. This is recorded
    # per attempt, next to the prompt it priced.
    snapshot["usage"] = provider.last_usage

    reasoning = "".join(reasoning_chunks).strip() or None
    ai_action = models.Action(
        adventure_id=adventure.id,
        depth=ai_depth,
        type="ai",
        text=text,
        reasoning=reasoning,
        context_snapshot=snapshot,
        world_delta=world_delta_of(snapshot),
    )
    if retry_of is not None:
        attempts.add_attempt(db, adventure, retry_of, ai_action)
        db.add(ai_action)
        # The text at this coordinate changed, so anything derived from it no
        # longer describes the story. Withdraw the memory attached to the node
        # and return that stretch to both passes. Before SP4 this code was
        # unreachable, because the summarizer held the newest action back until
        # a turn landed on top of it. `memorybank.SETTLE_SLACK` keeps a memory
        # off the tip again, for cost rather than for correctness, so this is
        # now the rare case: undo or delete can carry a summarized node back to
        # the tip, and then a retry of it lands here. See `memorybank`.
        memorybank.forget_node(db, adventure, retry_of)
        cursors.rewind_all(adventure, retry_of.branch_id, ai_depth - 1)
        # Flush so the new attempt has an id. The session does not autoflush,
        # and attempts page in id order, so a read taken before this point puts
        # the newest attempt nowhere.
        db.flush()
    else:
        tree.place_action(db, adventure, ai_action)
        db.add(ai_action)
        db.flush()
    # The state lands after the node exists and before the one commit, so the
    # narration, the head, the accepted events, the provenance and the snapshot
    # are one transaction. L01 forbids any window in which a turn looks accepted
    # while its state is half-written, and the cheapest guarantee is to have a
    # single commit rather than two that could get out of step.
    new_state, _proposal = narrative.store.record(
        db, adventure,
        review=pending_state["review"],
        raw_block=pending_state["raw_block"],
        parsed=pending_state["parsed"],
        action=ai_action,
        branch_id=ai_action.branch_id,
        depth=ai_action.depth,
        model_name=settings.model or "",
        source="accepted_story",
    )
    if pending_state["unparseable"]:
        _proposal.status = "unparseable"
    before_state = narrative.store.current(adventure)
    narrative.store.set_current(adventure, new_state)
    ai_action.state_changes = {
        "accepted": pending_state["review"].accepted,
        "rejected": [r.as_dict() for r in pending_state["review"].rejected],
        "summary": narrative.apply.diff(before_state, new_state),
    }
    attempts.snapshot_outcome(adventure, ai_action)
    adventure.updated_at = models.utcnow()
    db.commit()
    db.refresh(ai_action)
    yield _SAVED
    yield sse({"type": "done", "action": action_json(ai_action, db)})
    # Phase 6: schedule summarization and embedding without waiting for them.
    # The task opens its own database session.
    memorybank.schedule_post_turn(adventure)



async def run_player_turn(
    adventure: models.Adventure,
    db: Session,
    payload: schemas.ActionCreate,
    user: models.User,
    preformatted: bool = False,
):
    """Plays a player's turn: their action, then the reply to it.

    `preformatted` means the text already carries the `> You ...` conventions and
    is written as-is. That applies when the player retakes a turn they already
    played (SP9). The editor is seeded with the stored text, which is already
    formatted, and a plain edit puts that same text in the box and writes it back
    verbatim. Formatting it a second time produces `> You > You ...`.
    """
    # An empty do, say, or story action behaves as a continue.
    if payload.type != "continue" and payload.text.strip():
        formatted = (
            payload.text.strip() if preformatted
            else format_player_input(payload.type, payload.text)
        )
        player_action = models.Action(
            adventure_id=adventure.id,
            depth=next_depth(adventure),
            type=payload.type,
            text=formatted,
        )
        # The state this node leaves behind. The AI turn after it starts here,
        # and a retry of that turn rolls back to here.
        attempts.snapshot_outcome(adventure, player_action)
        tree.place_action(db, adventure, player_action)
        db.add(player_action)
        db.commit()
        db.refresh(player_action)
        # The new action was added through its foreign key, so the loaded
        # `adventure.actions` collection is stale. Without this expire,
        # `build_context` for the AI action does not see the player action
        # that was just saved.
        db.expire(adventure, ["actions"])
        yield sse({"type": "player", "action": action_json(player_action, db)})

    async for event in generate_turn(adventure, db, user):
        yield event


@router.post("/{adventure_id}/actions")
def create_action(
    adventure_id: int,
    payload: schemas.ActionCreate,
    request: Request,
    db: Session = Depends(get_db),
    user: models.User = CurrentUser,
    adventure: models.Adventure = Depends(current_adventure),
):
    limits.check_row_cap("actions", db, user, adventure=adventure)
    acquire_turn_lock(adventure_id)
    try:
        _move_to_after(db, adventure, payload.after_id)
        # The first write below a moved-back head is where a divergence happens
        # (M3). Undo alone does not fork — the user may be reading, or about to
        # Redo — so this is the moment the story states which continuation it
        # means. The displaced future keeps its rows on the branch being left.
        # A head already at the tip, which is every ordinary turn, forks nothing.
        if head.fork_if_behind_head(db, adventure):
            db.commit()
            db.refresh(adventure)
    except BaseException:
        _active_turns.discard(adventure_id)
        raise
    return StreamingResponse(
        with_turn_lock(adventure_id, run_player_turn(adventure, db, payload, user)),
        media_type="text/event-stream",
        headers=SSE_HEADERS,
    )