388 lines
15 KiB
Python
388 lines
15 KiB
Python
"""World Builder — generates a new world from a preset or form, then intro scene.
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Flow (see §9.1 of TDD):
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1. Receive template (preset or form).
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2. Generate schemas + environment_schema + rules + time_schema (via tools or preset).
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3. Generate initial environment (player + current_location + plot_rails) via tools.
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4. Generate initial entities (locations, NPCs, items) via entity_create tool.
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5. Generate intro scene + suggested actions.
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6. Mark world status='ready'.
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Resumability: each stage checks if the world already has the needed data
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and skips if so. This allows re-running the builder after a failure at any
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stage without redoing earlier stages.
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"""
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from __future__ import annotations
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import json
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import uuid
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from typing import Any
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from sqlalchemy import select
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.core.llm import LlmClient, MockLlmClient
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from app.core.logging import get_logger
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from app.core.state_validator import validate_world
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from app.core.time_utils import advance_time, summarize_schemas
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from app.engine.sse import SseEmitter
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from app.engine.tools.base import ToolContext, get_registry
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from app.models import World, WorldPreset
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from app.prompts.registry import get_prompt
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_logger = get_logger(__name__)
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async def run_world_builder(
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*,
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db: AsyncSession,
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world: World,
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player_name: str,
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notes: str | None,
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llm: LlmClient | MockLlmClient,
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sse: SseEmitter,
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preset: WorldPreset | None = None,
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) -> None:
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"""Run the full world_builder flow for a draft world.
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Each stage is resumable: if the world already has the data from a previous
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run (e.g. schemas exist), that stage is skipped.
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"""
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try:
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# ============ Stage 1: Schemas ============
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# If preset provided AND world already has schemas (from preset), skip.
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# If no preset, generate schemas via LLM tool-calling.
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if not world.schemas:
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await sse.emit("step", {"step": "generating_schema", "message": "Generating world schema..."})
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if preset and preset.schemas:
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# Use preset schemas directly
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world.schemas = preset.schemas
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world.environment_schema = preset.environment_schema
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world.rules = preset.rules
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world.time_schema = preset.time_schema
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await db.commit()
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else:
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# Generate via LLM using schema_add_type tool
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ok = await _generate_schemas_via_tools(
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db=db, world=world, llm=llm, sse=sse,
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player_name=player_name, notes=notes,
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)
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if not ok:
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await sse.error("schema_generation_failed", "Failed to generate schemas")
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return
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await sse.emit("world_schema_generated", {
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"schemas": world.schemas, "environment_schema": world.environment_schema,
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})
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else:
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await sse.emit("step", {"step": "skipping_schema", "message": "Schemas already exist, skipping..."})
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# ============ Stage 2: Environment ============
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# Ensure player name is set
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env = dict(world.environment or {})
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if isinstance(env.get("player"), dict):
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env["player"]["name"] = player_name
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else:
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# If no player, create a minimal one
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env["player"] = {"name": player_name, "stats": {"health": 100}}
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world.environment = env
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# Check if environment has current_location and plot_rails
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needs_env = (
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not env.get("current_location")
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or not env.get("plot_rails")
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or not (env.get("plot_rails") or {}).get("hooks")
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)
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if needs_env and not (preset and preset.environment_initial and env.get("current_location")):
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await sse.emit("step", {"step": "generating_environment", "message": "Generating environment..."})
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if preset and preset.environment_initial and not env.get("current_location"):
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# Use preset environment but ensure player name
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preset_env = dict(preset.environment_initial)
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if isinstance(preset_env.get("player"), dict):
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preset_env["player"]["name"] = player_name
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world.environment = preset_env
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await db.commit()
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else:
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# Generate via LLM using env_update tool
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ok = await _generate_environment_via_tools(
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db=db, world=world, llm=llm, sse=sse, player_name=player_name,
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)
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if not ok:
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await sse.error("env_generation_failed", "Failed to generate environment")
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return
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await sse.emit("environment_generated", {"environment": world.environment})
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else:
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# Ensure plot_rails exists (duplicate to world.plot_rails column)
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pr = (world.environment or {}).get("plot_rails")
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if pr:
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world.plot_rails = pr
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await db.commit()
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await sse.emit("step", {"step": "skipping_environment", "message": "Environment already set, skipping..."})
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# Validate world so far
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ok, errors = validate_world({
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"name": world.name, "language": world.language,
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"schemas": world.schemas, "environment_schema": world.environment_schema,
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"environment": world.environment, "plot_rails": world.plot_rails,
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"current_time": world.current_time,
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})
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if not ok:
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# Don't fail — log and continue, the world may still be usable
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_logger.warning("world_validation_partial", world_id=str(world.id), errors=errors)
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await sse.emit("warning", {
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"code": "validation_warnings",
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"message": "World has validation issues: " + "; ".join(errors[:3]),
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})
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# ============ Stage 3: Entities ============
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# Check if world already has entities
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from app.models import Entity
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existing_entities = (
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await db.execute(
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select(Entity).where(
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Entity.world_id == world.id, Entity.deleted_at.is_(None)
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).limit(1)
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)
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).scalars().first()
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if not existing_entities:
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await sse.emit("step", {"step": "generating_entities", "message": "Generating entities..."})
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await _run_tool_loop(
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db=db, world=world, llm=llm, sse=sse,
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stage="world_builder_entities",
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system_prompt=get_prompt("world_builder_entities", "en").format(
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world_name=world.name,
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world_description=world.description or "",
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language=world.language,
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schemas_summary=summarize_schemas(world.schemas or []),
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environment_json=json.dumps(world.environment, ensure_ascii=False, indent=2),
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max_substeps=15,
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),
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terminal_tool="submit_plan",
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max_substeps=15,
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settings={},
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)
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await db.commit()
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await sse.emit("entities_generated", {"world_id": str(world.id)})
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else:
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await sse.emit("step", {"step": "skipping_entities", "message": "Entities already exist, skipping..."})
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# ============ Stage 4: Intro scene ============
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if not world.intro_scene:
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await sse.emit("step", {"step": "generating_intro", "message": "Generating intro scene..."})
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entities = (
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await db.execute(
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select(Entity).where(
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Entity.world_id == world.id, Entity.deleted_at.is_(None)
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)
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)
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).scalars().all()
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entities_summary = "\n".join(
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f"- {e.entity_type}: {e.name}" for e in entities[:20]
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) or "(no entities)"
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scene_result = await _run_tool_loop(
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db=db, world=world, llm=llm, sse=sse,
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stage="intro_scene",
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system_prompt=get_prompt("intro_scene", "en").format(
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world_name=world.name,
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world_description=world.description or "",
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language=world.language,
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current_time=world.current_time,
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environment_json=json.dumps(world.environment, ensure_ascii=False, indent=2),
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plot_rails_json=json.dumps(world.plot_rails or {}, ensure_ascii=False, indent=2),
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entities_summary=entities_summary,
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),
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terminal_tool="submit_step",
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max_substeps=3,
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settings={},
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)
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scene_text = ""
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delta_time = "hours_1"
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if scene_result and scene_result.get("ok"):
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scene_text = scene_result.get("data", {}).get("scene_text", "")
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delta_time = scene_result.get("data", {}).get("delta_time", "hours_1")
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# Apply text replacements
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if scene_text:
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from app.core.settings_service import apply_text_replacements
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scene_text = await apply_text_replacements(db, scene_text)
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if scene_text:
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world.intro_scene = scene_text
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world.current_time = advance_time(world.current_time, delta_time, world.time_schema)
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await db.commit()
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await sse.emit("intro_scene_complete", {
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"text": scene_text, "delta_time": delta_time, "current_time": world.current_time,
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})
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else:
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await sse.emit("step", {"step": "skipping_intro", "message": "Intro scene already exists, skipping..."})
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# Mark ready
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world.status = "ready"
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await db.commit()
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await sse.done({"world_id": str(world.id), "status": "ready"})
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except Exception as e: # noqa: BLE001
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_logger.exception("world_builder_failed", world_id=str(world.id), error=str(e))
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await sse.error("internal_error", str(e))
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async def _generate_schemas_via_tools(
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*,
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db: AsyncSession,
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world: World,
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llm: LlmClient | MockLlmClient,
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sse: SseEmitter,
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player_name: str,
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notes: str | None,
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) -> bool:
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"""Generate world schemas by having the LLM call schema_add_type tools."""
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prompt = get_prompt("world_builder_schema", "en").format(
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mode="form",
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form_data="{}",
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preset_name="",
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player_name=player_name,
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language=world.language,
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notes=notes or "",
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)
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result = await _run_tool_loop(
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db=db, world=world, llm=llm, sse=sse,
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stage="world_builder_schema",
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system_prompt=prompt,
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terminal_tool="submit_plan",
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max_substeps=10,
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settings={},
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)
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# After tool loop, check if schemas were created
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await db.refresh(world)
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return bool(world.schemas)
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async def _generate_environment_via_tools(
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*,
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db: AsyncSession,
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world: World,
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llm: LlmClient | MockLlmClient,
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sse: SseEmitter,
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player_name: str,
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) -> bool:
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"""Generate environment by having the LLM call env_update tools."""
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prompt = get_prompt("world_builder_env", "en").format(
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world_name=world.name,
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world_description=world.description or "",
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language=world.language,
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rules="\n".join(f"- {r}" for r in (world.rules or [])),
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schemas_summary=summarize_schemas(world.schemas or []),
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environment_schema_json=json.dumps(world.environment_schema, ensure_ascii=False, indent=2),
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player_name=player_name,
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)
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result = await _run_tool_loop(
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db=db, world=world, llm=llm, sse=sse,
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stage="world_builder_env",
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system_prompt=prompt,
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terminal_tool="submit_plan",
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max_substeps=10,
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settings={},
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)
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await db.refresh(world)
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env = world.environment or {}
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# Sync plot_rails
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if isinstance(env.get("plot_rails"), dict):
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world.plot_rails = env["plot_rails"]
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await db.commit()
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return bool(env.get("current_location"))
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def _strip_code_fence(text: str) -> str:
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"""Remove ```json ... ``` fences if present."""
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s = text.strip()
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if s.startswith("```"):
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s = s.split("\n", 1)[1] if "\n" in s else s
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if s.endswith("```"):
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s = s[:-3]
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return s.strip()
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async def _run_tool_loop(
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*,
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db: AsyncSession,
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world: World,
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llm: LlmClient | MockLlmClient,
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sse: SseEmitter,
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stage: str,
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system_prompt: str,
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terminal_tool: str,
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max_substeps: int,
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settings: dict[str, Any],
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) -> dict[str, Any] | None:
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"""Generic tool-calling loop. Returns the result of the terminal tool call."""
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registry = get_registry()
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ctx = ToolContext(
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db=db, world=world, stage=stage,
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sse_emitter=sse.emit,
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)
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messages: list[dict[str, Any]] = [
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{"role": "system", "content": system_prompt},
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{"role": "user", "content": f"Begin {stage}. Use the available tools to accomplish the task. When done, call {terminal_tool}."},
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]
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tools = registry.to_openai_format(stage)
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last_terminal_result: dict[str, Any] | None = None
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for substep in range(max_substeps):
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await sse.emit("llm_call_start", {"stage": stage, "model": getattr(llm, "_model", "mock")})
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resp = await llm.complete(
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stage=stage,
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messages=messages,
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tools=tools,
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temperature=0.7,
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max_tokens=2048,
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world_id=world.id,
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session=db,
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)
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await sse.emit("llm_call_end", {
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"stage": stage, "latency_ms": resp.get("latency_ms", 0),
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"tokens": (resp.get("prompt_tokens") or 0) + (resp.get("completion_tokens") or 0),
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})
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msg = resp.get("message", {})
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# Apply text replacements to content
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content = msg.get("content", "") or ""
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if content:
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from app.core.settings_service import apply_text_replacements
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content = await apply_text_replacements(db, content)
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msg = dict(msg)
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msg["content"] = content
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tool_calls = msg.get("tool_calls") or []
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if not tool_calls:
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# No tool calls — append assistant message and retry with a nudge.
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# Up to 3 retries.
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messages.append({"role": "assistant", "content": msg.get("content", "")})
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messages.append({
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"role": "user",
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"content": (
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f"You did not call any tools in your previous response. "
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f"You MUST use the available tools to accomplish the task. "
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f"If you tried to call a tool but it didn't work, try again with proper JSON arguments. "
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f"When you are done, call {terminal_tool}."
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),
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})
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continue
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messages.append(msg)
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for tc in tool_calls:
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fn = tc.get("function", {}) if isinstance(tc, dict) else {}
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tname = fn.get("name", "")
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try:
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targs = json.loads(fn.get("arguments") or "{}")
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except json.JSONDecodeError:
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targs = {}
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result = await registry.execute(tname, targs, ctx)
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messages.append({
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"role": "tool",
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"tool_call_id": tc.get("id", ""),
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"name": tname,
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"content": json.dumps(result.to_dict(), ensure_ascii=False),
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})
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if tname == terminal_tool:
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last_terminal_result = result.to_dict()
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return last_terminal_result
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# If we exhausted substeps without terminal, return None
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return last_terminal_result
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