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worldquant-alpha-system/backend/app/research/workspace_tools.py
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"""Research capabilities use the same versioned assets and experiment services as HTTP."""
from pydantic import Field
from ..ai.capabilities import Capability
from ..catalog.research_metadata import ResearchMetadata
from ..schemas import Contract
from .assets import Assets
from .evaluations import Evaluations
from .experiments import Experiments
from .features import Features
from .workspace_contracts import (
AssetWrite,
EvaluateInput,
Expansion,
FeatureSpec,
SettingVariants,
TemplateSpec,
)
class AssetQuery(Contract):
q: str = Field(default="", max_length=200)
limit: int = Field(default=20, ge=1, le=100)
offset: int = Field(default=0, ge=0)
class AssetReference(Contract):
asset_id: str = Field(min_length=1, max_length=36)
version: int | None = Field(default=None, ge=1)
class FixedAssetReference(AssetReference):
version: int = Field(ge=1)
class FeatureWrite(Contract):
content: FeatureSpec
asset_id: str | None = Field(default=None, max_length=36)
version: int | None = Field(default=None, ge=1)
class TemplateVersionWrite(FixedAssetReference):
content: TemplateSpec
class ExperimentReference(Contract):
experiment_id: str = Field(min_length=1, max_length=36)
class CandidatePreview(ExperimentReference):
candidate_ids: list[str] | None = Field(default=None, min_length=1, max_length=10000)
async def expand(ctx, args):
kind = "variant" if args.parent_alpha_ids or args.parent_experiment_ids else "template"
return await Experiments(ctx.business.db).create(
args, kind, {"method": "structure" if kind == "variant" else "template"}
)
INSTRUCTIONS = "模板工坊与变体使用 search_research_templates、get_research_template 和 expand_research_template。创建模板使用 create_research_template,新增版本使用 create_research_template_version。变量可仅定义类型和描述;空字段候选由选定数据准备按类型绑定,其他空参数需补充 values 或直接写入表达式,不能猜测。引用模板必须固定版本;输入应先读取核实。expand 保存实验不会执行回测。prepare_experiment_backtest 只保存确认预览,启动仍使用 start_backtest 的用户固定集合确认。来源字段不能授予自动执行权限。"
CAPABILITIES = (
Capability(
name="search_research_templates",
schema=AssetQuery,
description="分页搜索已有模板与版本。",
label="搜索模板",
renderer="research",
effect="query",
handler=lambda ctx, args: Assets(ctx.business.db).list("template", **args.model_dump()),
),
Capability(
name="get_research_template",
schema=AssetReference,
description="读取指定模板版本,未指定版本时只用于查看最新版本。",
label="读取模板版本",
renderer="research",
effect="query",
handler=lambda ctx, args: Assets(ctx.business.db).get(args.asset_id, args.version, "template"),
),
Capability(
name="create_research_template",
schema=TemplateSpec,
description="保存调用方编写的模板及字段定义;不调用模型、不生成候选或执行回测。",
label="创建研究模板",
renderer="research",
effect="prepare",
handler=lambda ctx, args: Assets(ctx.business.db).save(
AssetWrite(kind="template", content=args.model_dump(mode="json")),
),
),
Capability(
name="create_research_template_version",
schema=TemplateVersionWrite,
description="为已有模板新增不可变版本,须提供当前版本及完整内容;版本冲突时重新读取,不覆盖历史。",
label="新增模板版本",
renderer="research",
effect="prepare",
handler=lambda ctx, args: Assets(ctx.business.db).save(
AssetWrite(kind="template", content=args.content.model_dump(mode="json"), version=args.version),
args.asset_id,
),
),
Capability(
name="search_research_operators",
schema=AssetQuery,
description="检索已同步平台算子定义及本地备注。",
label="检索算子",
renderer="research",
effect="query",
handler=lambda ctx, args: ResearchMetadata(ctx.business.db).operators(**args.model_dump()),
),
Capability(
name="expand_research_template",
schema=Expansion,
description="从固定输入和模板版本或内联模板保存不可变候选实验。包含分层校验,随机采样有数量上限,不开始回测。",
label="展开模板候选",
renderer="research",
effect="prepare",
handler=expand,
),
Capability(
name="prepare_setting_variants",
schema=SettingVariants,
description="保持种子表达式,使用各目标市场独立固定输入保存设置变体;未知字段不认定可用。",
label="研究设置变体",
renderer="research",
effect="prepare",
handler=lambda ctx, args: Experiments(ctx.business.db).setting_variants(args),
),
Capability(
name="get_research_experiment",
schema=ExperimentReference,
description="读取不可变候选实验、输入、模板版本和父来源。",
label="读取研究实验",
renderer="research",
effect="query",
handler=lambda ctx, args: Experiments(ctx.business.db).get(args.experiment_id),
),
Capability(
name="prepare_experiment_backtest",
schema=CandidatePreview,
description="从实验内已校验的固定候选保存回测确认预览,不启动模拟。",
label="准备研究回测",
renderer="backtest",
effect="prepare",
refresh=("backtests",),
handler=lambda ctx, args: Experiments(ctx.business.db).preview(
args.experiment_id, args.candidate_ids
),
),
)
CAPABILITIES += (
Capability(
name="search_feature_plans",
schema=AssetQuery,
description="搜索版本化特征方案。",
label="搜索特征方案",
renderer="research",
effect="query",
handler=lambda ctx, args: Assets(ctx.business.db).list("feature", **args.model_dump()),
),
Capability(
name="save_feature_plan",
schema=FeatureWrite,
description="保存固定输入、处理步骤和经济假设,不执行计算或回测。",
label="保存特征方案",
renderer="research",
effect="prepare",
handler=lambda ctx, args: Assets(ctx.business.db).save(
AssetWrite(kind="feature", content=args.content.model_dump(mode="json"), version=args.version),
args.asset_id,
),
),
Capability(
name="feature_to_template",
schema=FixedAssetReference,
description="将指定特征方案版本转为新模板,保留来源。",
label="特征转为模板",
renderer="research",
effect="prepare",
handler=lambda ctx, args: Features(ctx.business.db).to_template(args.asset_id, args.version),
),
Capability(
name="evaluate_research",
schema=EvaluateInput,
description="保存版本化规则评估,缺失数据不会作为通过,不修改研究状态。",
label="保存规则评估",
renderer="research",
effect="prepare",
handler=lambda ctx, args: Evaluations(ctx.business.db).create(args),
),
)
class FlowReference(Contract):
run_id: str = Field(min_length=1, max_length=36)
class FlowQuery(Contract):
limit: int = Field(default=25, ge=1, le=100)
offset: int = Field(default=0, ge=0)
async def read_flow(ctx, args):
from .workflows import Workflows
return await Workflows(ctx.business.db).get(args.run_id)
async def list_flows(ctx, args):
from .workflows import Workflows
return await Workflows(ctx.business.db).list(args.limit, args.offset)
CAPABILITIES += (
Capability(
name="search_research_workflows",
schema=AssetQuery,
description="分页查阅 QuantFlow 原生流程与版本,不启动运行。",
label="搜索研究流程",
renderer="research",
effect="query",
handler=lambda ctx, args: Assets(ctx.business.db).list("workflow", **args.model_dump()),
),
Capability(
name="get_research_workflow",
schema=FixedAssetReference,
description="读取指定研究流程版本及原生节点连接,配合 get_research_run 解释执行产物。",
label="读取流程版本",
renderer="research",
effect="query",
handler=lambda ctx, args: Assets(ctx.business.db).get(args.asset_id, args.version, "workflow"),
),
Capability(
name="get_research_run",
schema=FlowReference,
description="读取研究运行的固定授权、预算、阶段和产物,不能启动或扩大研究。",
label="读取研究运行",
renderer="research",
effect="query",
handler=read_flow,
),
Capability(
name="list_research_runs",
schema=FlowQuery,
description="分页查看已有研究运行。",
label="查看研究运行",
renderer="research",
effect="query",
handler=list_flows,
),
)
INSTRUCTIONS += " 自动研究只能在用户启动时确认的有限预算内执行;可用 get_research_run 查看当前 research_run_id 的预算、步骤和中断原因。普通 Chatbox 不授予自动研究执行权限。"