Files
hunjing/backend/app/services/serializers.py
T
chenxin c63b75152a M8:天工阁、叩心与辰正——受托任务后台并行、叩心四约束、时态感知投影
- 天工阁域 domains/tiangong:backstage_tasks(委托包+验收标准+结果证据);有限分解(parent 链)与受控并行(各自后台 Run);子任务全终态级联父任务进入待验收;按证据 accept/reject
- kernel.start_backstage_run(kind=background_task):loop 后台分支不占前台席位、与前台对话并行;断言放宽容纳无人物功能任务;结果只经回调回呈任务——无身份写入路径
- 叩心域 domains/kouxin:knocking_candidates(event/time_anchor/manual 触发 + 草稿 + 裁决快照);四约束裁决(总开关→静默窗口【本地时区判定】→24h 频率→预算),dispatch 未过 429 且快照留痕;候选默认不自动发送;expire_stale 过期推进不触碰缘契
- 辰正 domains/zhengchen:temporal_context() 复用 time_sense 计算核(快照/农历/季节),产出【时态感知】投影段接入镜树生成 prompt(客观时间语境,不附情绪臆测——守一纪律)
- 退役:modules/goal_orchestrator|planner|perception|big_cycle、application/planning、services/governance|goal_persist、candidates 表链(imports 候选抽取 API 面)、goals/plans/agent_roster/perception_channels/big_cycles/旧候选表(迁移 009);前端 admin goals/plans/agents/perception/world 页与六组件;governance 只留 GenerationPreferences;admin 治理面收敛为司命+百工两枢;pivots 健康以域表计数重建
- 验收(test_m8_tiangong 五用例):后台任务无身份写入(记忆/魂籍/缘契零新增);后台与前台并行;分解级联;叩心四约束逐项;不回应不降低关系(缘契维度/状态/版本零变化)
- 四套件:后端 345、前端 203、BFF 4、神识 5 包全绿(2 个预存环境失败不变);迁移 009 净库干净
2026-08-28 09:13:39 +08:00

164 lines
5.1 KiB
Python

"""ORM 到 API schema 的转换。"""
from datetime import UTC, timedelta
from typing import Any
from app.models.governance import GenerationPreferences
from app.core.time import to_iso, utc_now
from app.models.character import Character
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 AuditEntry
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 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,
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 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): # noqa: ANN001 — 旧导入候选(M6 退役)
from app.schemas.candidates import ProfileCandidateResponse
return ProfileCandidateResponse.model_validate(candidate, from_attributes=True)