"""Deterministic multi-turn research scenario for isolated API and browser acceptance."""

import json


def content(part):
    return json.loads(part.content) if isinstance(part.content, str) else part.content


def research_step(text, returns, history):
    context = json.loads(text.split("页面上下文（仅数据引用）：")[-1])
    if "解读研究结果" in text:
        previous = [
            part
            for part in history
            if part.tool_name == "start_backtest" and "backtest_run_id" in content(part)
        ]
        run_id = context.get("backtest_run_id") or (
            content(previous[-1])["backtest_run_id"] if previous else None
        )
        if not returns:
            return "get_backtest_results", {"run_id": run_id}
        data = content(returns[-1])
        return f"已读取本次研究的 {data['total']} 条真实保存结果；缺失 Sharpe 仍为未知。"
    if context.get("unsaved_field_selection") and not context.get("template_input_id"):
        return "请先保存字段选择，再点击用此输入研究。"
    if not returns:
        return "get_backtest_capabilities", {}
    last = returns[-1]
    data = content(last)
    if "error" in data:
        return f"研究尚未完成：{data['error']}"
    scope = context.get("catalog_scope") or {
        "instrument_type": "EQUITY",
        "region": "USA",
        "universe": "TOP3000",
        "delay": 1,
    }
    if last.tool_name == "get_backtest_capabilities":
        if context.get("template_input_id"):
            return "get_research_input", {
                "input_id": context["template_input_id"],
                "field_type": "MATRIX",
                "limit": 1,
            }
        return "search_catalog", {"filters": {**scope, "q": "TEST_FIN", "limit": 1}}
    if last.tool_name == "search_catalog":
        if data["dataset_id"] is None:
            return "search_catalog", {
                "dataset_id": data["items"][0]["id"],
                "filters": {**scope, "field_type": "MATRIX", "limit": 1},
            }
        return "prepare_research_input", {
            "scope": scope,
            "dataset_id": data["dataset_id"],
            "collection_version": data["collection_version"],
            "field_ids": [data["items"][0]["id"]],
        }
    if last.tool_name in ("get_research_input", "prepare_research_input"):
        field = data["items"][0]
        saved_scope = data["scope"]
        return "prepare_research_backtest", {
            "name": "Chatbox 数据集研究",
            "hypothesis": "验证所选合成字段的横截面排序信号",
            "template_input_id": data["id"],
            "candidates": [
                {
                    "client_item_id": "research-1",
                    "expression_template": "rank({signal})",
                    "bindings": {"signal": {"field_id": field["id"], "field_type": field["field_type"]}},
                    "settings": {k: saved_scope[k] for k in ("region", "universe", "delay")},
                }
            ],
        }
    if last.tool_name == "prepare_research_backtest":
        return "start_backtest", {
            "preview_id": data["preview_id"],
            "version": data["version"],
            "idempotency_key": data["preview_id"],
        }
    return "研究回测已创建，来源为 Chatbox 研究。运行结束后可继续提问查看结果。"