- 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
164 lines
5.1 KiB
Python
164 lines
5.1 KiB
Python
"""ORM 到 API schema 的转换。"""
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from datetime import UTC, timedelta
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from typing import Any
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from app.models.governance import GenerationPreferences
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from app.core.time import to_iso, utc_now
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from app.models.character import Character
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from app.models.imports import CharacterImportJob, ImportItem
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from app.models.runtime import Event, Run
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from app.models.safety import AuditEvent
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from app.repositories.json_utils import loads_dict, loads_list
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from app.schemas.admin import AuditEntry
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from app.schemas.character import CharacterResponse, CharacterSummaryResponse
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from app.schemas.imports import ImportItemResponse, ImportJobResponse
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from app.schemas.preferences import GenerationPreferencesResponse
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from app.schemas.runtime import EventResponse, RunResponse
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def character_to_response(character: Character) -> CharacterResponse:
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return CharacterResponse(
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id=character.id,
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name=character.name,
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display_name=character.display_name,
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status=character.status,
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language=character.language,
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profile=loads_dict(character.profile_json),
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model_policy=loads_dict(character.model_policy_json),
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privacy_level=character.privacy_level,
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owner_scope=character.owner_scope,
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is_system_template=character.is_system_template,
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source_template_id=character.source_template_id,
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created_at=to_iso(character.created_at) or "",
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updated_at=to_iso(character.updated_at) or "",
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)
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def character_to_summary(
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character: Character, *, memory_count: int, personality_version: int
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) -> CharacterSummaryResponse:
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"""人物列表项(api-spec §6);memory_count / personality_version 由调用方查得。"""
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return CharacterSummaryResponse(
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id=character.id,
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name=character.name,
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display_name=character.display_name,
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status=character.status,
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memory_count=memory_count,
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personality_version=personality_version,
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activated_at=to_iso(character.activated_at),
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)
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def run_to_response(run: Run) -> RunResponse:
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return RunResponse(
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id=run.id,
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character_id=run.character_id,
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status=run.status,
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kind=run.kind,
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goal=run.goal,
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origin=run.origin,
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model_hint=run.model_hint,
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started_at=to_iso(run.started_at),
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completed_at=to_iso(run.completed_at),
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error_code=run.error_code,
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error_message=run.error_message,
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created_at=to_iso(run.created_at) or "",
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updated_at=to_iso(run.updated_at) or "",
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)
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def event_to_response(event: Event) -> EventResponse:
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payload: dict[str, Any] = loads_dict(event.payload_json)
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return EventResponse(
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event_id=event.id,
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run_id=event.run_id,
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character_id=event.character_id,
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type=event.type,
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sequence=event.sequence,
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visibility=event.visibility,
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payload=payload,
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created_at=to_iso(event.created_at) or "",
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trace_id=event.trace_id,
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)
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# —— 司命台治理对象 ——
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def generation_preferences_to_response(
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prefs: GenerationPreferences,
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) -> GenerationPreferencesResponse:
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return GenerationPreferencesResponse(
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default_model_hint=prefs.default_model_hint,
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temperature=prefs.temperature,
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top_p=prefs.top_p,
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max_output_tokens=prefs.max_output_tokens,
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streaming=prefs.streaming,
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)
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def audit_to_response(event: AuditEvent) -> AuditEntry:
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summary = event.reason or event.input_summary or event.output_summary or event.action
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return AuditEntry(
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audit_id=event.id,
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pivot=event.pivot or "memory",
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actor=event.actor,
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action=event.action,
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subject=event.resource_id,
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decision=event.decision,
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risk_level=event.risk_level,
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summary=summary,
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trace_id=event.trace_id,
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created_at=to_iso(event.created_at),
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)
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def import_job_to_response(job: CharacterImportJob) -> ImportJobResponse:
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return ImportJobResponse(
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id=job.id,
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character_id=job.character_id,
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material_type=job.material_type,
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source_type=job.source_type,
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title=job.title,
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status=job.status,
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format=job.format,
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media_type=job.media_type,
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mime_type=job.mime_type,
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item_count=job.item_count,
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consent_status=job.consent_status,
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usage_scope=job.usage_scope,
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error_code=job.error_code,
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error_message=job.error_message,
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created_at=to_iso(job.created_at) or "",
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updated_at=to_iso(job.updated_at) or "",
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)
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def import_item_to_response(item: ImportItem) -> ImportItemResponse:
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return ImportItemResponse(
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id=item.id,
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import_job_id=item.import_job_id,
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item_type=item.item_type,
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role=item.role,
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sequence=item.sequence,
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content=item.content,
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metadata=loads_dict(item.metadata_json),
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created_at=to_iso(item.created_at) or "",
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)
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def profile_candidate_to_response(candidate): # noqa: ANN001 — 旧导入候选(M6 退役)
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from app.schemas.candidates import ProfileCandidateResponse
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return ProfileCandidateResponse.model_validate(candidate, from_attributes=True)
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