Files
hunjing/backend/app/services/serializers.py
T
chenxin 7e23d6fa84 M6:缘契、人格与世界——契约版本链、铸魂分灵、河图境界与三界分流
- 缘契域 domains/yuanqi:covenants(当前版)+ covenant_events(不可变历史);提议—问心—铭契—撤回全链;边界变更立即生效;多维关系并存,服务层拒绝 affinity/好感度单一键;浪漫维度成人资格标记位
- 道体铸魂与分灵 domains/jingsheng/soul.py:soul_forgings 确认流(锚点变更 pending→confirmed 应用并签发新魂籍版本,确认前人物锚点不变);分灵创建新人物(继承资料与谱系 lineage 链、不继承原身份,魂籍从 v1 起)
- 河图域 domains/hetu:persistent_worlds 境界 + world_entities/world_relations 境界作用域重建 + 世谱挂接;境界正史视图(scope=persistent_world 归真集合);canonize 后置推进正史计数
- 三界分流:reality→息壤提取(不变);persistent_world→境界实录+正史推进;simulation→只记试演实录;factual_records 增 scope 列——境界/幻境实录与真界本相隔离
- 正影打通:引文 target_type=memory 时被引记忆 superseded → 返回 successor_memory_id 提示,不静默替换
- 前端:人物详情页缘契面板(提议维度选择/铭契/撤回/事件史)+ 世界页重建(境界目录/实体/正史概览)+ covenants/worlds api 库
- 退役:旧 personality/drive/evolution/world 模块、服务、端点、仓储、schema、前端五页与组件样式;迁移 007 退役九张旧表与 characters.current_personality_version_id
- 验收(test_m6_domains 六用例):多维无单一好感度/铭契版本链/事件不可抹除/撤回立即生效/边界即时/铸魂确认流+魂籍版本/分灵谱系/境界正史不进真界(实录 scope 隔离+真界候选=0)/引文正影后继
- 四套件:后端 379、前端 199、BFF 4、神识 5 包全绿(2 个预存环境失败不变);迁移 007 净库+±1 干净
2026-08-27 20:10:11 +08:00

276 lines
8.8 KiB
Python

"""ORM 到 API schema 的转换。"""
from datetime import UTC, timedelta
from typing import Any
from app.core.time import to_iso, utc_now
from app.models.candidates import MemoryCandidate, ProfileCandidate
from app.models.character import Character
from app.models.governance import (
AgentRosterEntry,
GenerationPreferences,
Goal,
PerceptionChannel,
Plan,
)
from app.models.imports import CharacterImportJob, ImportItem
from app.models.runtime import Event, Run
from app.models.safety import AuditEvent
from app.repositories.json_utils import loads_dict, loads_list
from app.schemas.admin import (
AgentRosterResponse,
AuditEntry,
GoalNode,
PerceptionChannelResponse,
PlanSummaryResponse,
)
from app.schemas.candidates import MemoryCandidateResponse, ProfileCandidateResponse
from app.schemas.character import CharacterResponse, CharacterSummaryResponse
from app.schemas.imports import ImportItemResponse, ImportJobResponse
from app.schemas.preferences import GenerationPreferencesResponse
from app.schemas.runtime import EventResponse, RunResponse
def _check_avatar(character_id: str) -> str | None:
"""检查角色是否有头像文件,有则返回 URL。"""
from app.services.avatar import _find_avatar_file
if _find_avatar_file(character_id):
return f"/api/v1/characters/{character_id}/avatar"
return None
def character_to_response(character: Character) -> CharacterResponse:
return CharacterResponse(
id=character.id,
name=character.name,
display_name=character.display_name,
status=character.status,
language=character.language,
profile=loads_dict(character.profile_json),
model_policy=loads_dict(character.model_policy_json),
privacy_level=character.privacy_level,
owner_scope=character.owner_scope,
is_system_template=character.is_system_template,
source_template_id=character.source_template_id,
avatar_url=_check_avatar(character.id),
created_at=to_iso(character.created_at) or "",
updated_at=to_iso(character.updated_at) or "",
)
def character_to_summary(
character: Character, *, memory_count: int, personality_version: int
) -> CharacterSummaryResponse:
"""人物列表项(api-spec §6);memory_count / personality_version 由调用方查得。"""
return CharacterSummaryResponse(
id=character.id,
name=character.name,
display_name=character.display_name,
status=character.status,
memory_count=memory_count,
personality_version=personality_version,
activated_at=to_iso(character.activated_at),
)
def run_to_response(run: Run) -> RunResponse:
return RunResponse(
id=run.id,
character_id=run.character_id,
status=run.status,
kind=run.kind,
goal=run.goal,
origin=run.origin,
model_hint=run.model_hint,
started_at=to_iso(run.started_at),
completed_at=to_iso(run.completed_at),
error_code=run.error_code,
error_message=run.error_message,
created_at=to_iso(run.created_at) or "",
updated_at=to_iso(run.updated_at) or "",
)
def event_to_response(event: Event) -> EventResponse:
payload: dict[str, Any] = loads_dict(event.payload_json)
return EventResponse(
event_id=event.id,
run_id=event.run_id,
character_id=event.character_id,
type=event.type,
sequence=event.sequence,
visibility=event.visibility,
payload=payload,
created_at=to_iso(event.created_at) or "",
trace_id=event.trace_id,
)
# —— 司命台治理对象 ——
def goal_to_response(goal: Goal) -> GoalNode:
return GoalNode(
id=goal.id,
character_id=goal.character_id,
title=goal.title,
description=goal.description,
level=goal.level,
type=goal.type,
status=goal.status,
priority=goal.priority,
progress=goal.progress,
constraints=loads_list(goal.constraints_json),
parent_id=goal.parent_id,
success_criteria=loads_list(goal.success_criteria_json),
updated_at=to_iso(goal.updated_at),
)
def perception_channel_to_response(channel: PerceptionChannel) -> PerceptionChannelResponse:
return PerceptionChannelResponse(
channel=channel.channel,
name=channel.name,
description=channel.description,
enabled=channel.enabled,
consent_status=channel.consent_status,
privacy_level=channel.privacy_level,
risk_level=channel.risk_level,
last_active_at=to_iso(channel.last_active_at),
)
def plan_to_response(plan: Plan) -> PlanSummaryResponse:
return PlanSummaryResponse(
id=plan.id,
goal_id=plan.goal_id or "",
title=plan.title,
status=plan.status,
assumptions=loads_list(plan.assumptions_json),
risks=loads_list(plan.risks_json),
required_tools=loads_list(plan.required_tools_json),
success_criteria=loads_list(plan.success_criteria_json),
step_count=plan.step_count,
completed_steps=plan.completed_steps,
updated_at=to_iso(plan.updated_at),
)
_ACTIVE_WINDOW = timedelta(hours=1)
def agent_to_response(agent: AgentRosterEntry) -> AgentRosterResponse:
"""presence 为派生呈现态:启用且最近一小时内活跃 → active,否则 idle。"""
presence = "idle"
if agent.enabled and agent.last_active_at:
last = agent.last_active_at
if last.tzinfo is None:
last = last.replace(tzinfo=UTC)
if utc_now() - last <= _ACTIVE_WINDOW:
presence = "active"
return AgentRosterResponse(
role=agent.role,
name=agent.name,
responsibility=agent.responsibility,
enabled=agent.enabled,
presence=presence,
last_active_at=to_iso(agent.last_active_at),
)
def generation_preferences_to_response(
prefs: GenerationPreferences,
) -> GenerationPreferencesResponse:
return GenerationPreferencesResponse(
default_model_hint=prefs.default_model_hint,
temperature=prefs.temperature,
top_p=prefs.top_p,
max_output_tokens=prefs.max_output_tokens,
streaming=prefs.streaming,
)
def audit_to_response(event: AuditEvent) -> AuditEntry:
summary = event.reason or event.input_summary or event.output_summary or event.action
return AuditEntry(
audit_id=event.id,
pivot=event.pivot or "memory",
actor=event.actor,
action=event.action,
subject=event.resource_id,
decision=event.decision,
risk_level=event.risk_level,
summary=summary,
trace_id=event.trace_id,
created_at=to_iso(event.created_at),
)
def import_job_to_response(job: CharacterImportJob) -> ImportJobResponse:
return ImportJobResponse(
id=job.id,
character_id=job.character_id,
material_type=job.material_type,
source_type=job.source_type,
title=job.title,
status=job.status,
format=job.format,
media_type=job.media_type,
mime_type=job.mime_type,
item_count=job.item_count,
consent_status=job.consent_status,
usage_scope=job.usage_scope,
error_code=job.error_code,
error_message=job.error_message,
created_at=to_iso(job.created_at) or "",
updated_at=to_iso(job.updated_at) or "",
)
def import_item_to_response(item: ImportItem) -> ImportItemResponse:
return ImportItemResponse(
id=item.id,
import_job_id=item.import_job_id,
item_type=item.item_type,
role=item.role,
sequence=item.sequence,
content=item.content,
metadata=loads_dict(item.metadata_json),
created_at=to_iso(item.created_at) or "",
)
def profile_candidate_to_response(candidate: ProfileCandidate) -> ProfileCandidateResponse:
return ProfileCandidateResponse(
id=candidate.id,
character_id=candidate.character_id,
import_job_id=candidate.import_job_id,
field=candidate.field,
value=candidate.value,
confidence=candidate.confidence,
evidence_ids=loads_list(candidate.evidence_ids_json),
status=candidate.status,
reason=candidate.reason,
reviewed_at=to_iso(candidate.reviewed_at),
created_at=to_iso(candidate.created_at) or "",
)
def memory_candidate_to_response(candidate): # noqa: ANN001 — 旧导入候选(M6 退役)
from app.schemas.candidates import MemoryCandidateResponse
return MemoryCandidateResponse.model_validate(candidate, from_attributes=True)
def profile_candidate_to_response(candidate): # noqa: ANN001 — 旧导入候选(M6 退役)
from app.schemas.candidates import ProfileCandidateResponse
return ProfileCandidateResponse.model_validate(candidate, from_attributes=True)