44 lines
2.0 KiB
Python
44 lines
2.0 KiB
Python
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"""MCP adapter using the same SUPER operations and records as the web editor."""
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from ..research.assets import Assets
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from .evidence import read_selection
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from .service import SuperResearch
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class SuperResearchAccess:
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async def super_plans(self, args):
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return await Assets(self.db).list("superalpha_plan", args.q, args.limit, args.offset)
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async def super_plan(self, args):
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if args.experiment_id:
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return await SuperResearch(self.db).experiment(args.experiment_id, args.limit, args.offset)
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return await Assets(self.db).get(args.plan_id, args.version, "superalpha_plan")
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async def save_super_plan(self, args):
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result = await SuperResearch(self.db).save(args)
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return {**result, "web_url": f"{self.public_origin}/#superalpha-research?plan_id={result['id']}"}
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async def preview_super_selection(self, args):
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result = await SuperResearch(self.db).selection_job(args)
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self.wake = "jobs"
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return result
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async def super_selection(self, args):
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return await read_selection(self.db, args)
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async def build_super_candidates(self, args):
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result = await SuperResearch(self.db).build(args)
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return {**result, "web_url": f"{self.public_origin}/#superalpha-research?experiment_id={result['id']}",
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"submit_with": "submit_backtests", "starts_backtests": False,
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"submit_source": {k: result["source"][k] for k in ("research_id", "superalpha_plan_id", "superalpha_plan_version", "selection_snapshot_ids", "reference", "hypothesis")},
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"paging": "完整候选可用 get_superalpha_plan 的 experiment_id 读取"}
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async def super_alphas(self, args):
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args.filters.management_scope = "super"
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args.filters.alpha_type = "SUPER"
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return await self.business.search_alphas(args.filters)
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async def super_alpha(self, args):
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result = await SuperResearch(self.db).alpha(args.alpha_id)
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return {**result, "web_url": f"{self.public_origin}/#superalphas?alpha_id={args.alpha_id}"}
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