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sam
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31
app/data/prompt_templates/department_base@1.1.0.json
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31
app/data/prompt_templates/department_base@1.1.0.json
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@ -0,0 +1,31 @@
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{
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"department_base": {
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"name": "部门基础模板",
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"description": "审慎分析骨架（数据校验强化版）",
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"template": "部门：{title}\n股票代码：{ts_code}\n交易日：{trade_date}\n\n【角色定位】\n- 角色说明：{description}\n- 行动守则：{instruction}\n\n【数据校验】\n1. 逐条确认提供的数据是否符合 expected schema，缺失项需记录在 `risks`。\n2. 如出现冲突数据，请在 `signals` 中说明解决思路，并指出最可信的来源。\n\n【数据边界】\n- 可用字段：\n{data_scope}\n- 核心特征：\n{features}\n- 市场背景：\n{market_snapshot}\n- 追加数据：\n{supplements}\n\n【分析步骤】\n1. 评估数据完整度，必要时建议补充 `fetch_data` 的具体调用参数。\n2. 基于量化证据拆分 2-3 个关键支撑与潜在风险，注明对应字段。\n3. 提炼操作建议并给出可执行的风险对冲或观察指标。\n\n【输出要求】\n仅返回一个 JSON 对象，不要添加额外文本：\n{\n \"action\": \"BUY|BUY_S|BUY_M|BUY_L|SELL|HOLD\",\n \"confidence\": 0-1 之间的小数,\n \"summary\": \"一句话结论\",\n \"signals\": [\"字段+现象\", \"...\"],\n \"risks\": [\"字段+风险\", \"...\"]\n}\n如需说明未完成的数据请求，请在 `risks` 中补充。",
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"variables": [
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"title",
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"ts_code",
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"trade_date",
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"description",
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"instruction",
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"data_scope",
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"features",
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"market_snapshot",
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"supplements"
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],
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"max_length": 4000,
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"required_context": [
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"ts_code",
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"trade_date",
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"features",
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"market_snapshot"
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],
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"version": "1.1.0",
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"metadata": {
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"label": "quality_guard",
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"notes": "强调数据校验与风险映射。"
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},
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"activate": false
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}
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}
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31
app/data/prompt_templates/department_base@1.2.0.json
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app/data/prompt_templates/department_base@1.2.0.json
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@ -0,0 +1,31 @@
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{
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"department_base": {
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"name": "部门基础模板",
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"description": "审慎分析骨架（结构化输出版）",
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"template": "部门：{title}\n股票代码：{ts_code}\n交易日：{trade_date}\n\n【角色定位】\n- 研究职责：{description}\n- 执行要点：{instruction}\n\n【量化检查】\n- 数据覆盖：\n{data_scope}\n- 模型特征：\n{features}\n- 市场切片：\n{market_snapshot}\n- 附加观察：\n{supplements}\n\n【分析流程】\n1. 使用事实句描述当前市场位置（包含至少 1 项相对指标）。\n2. 归纳 2-3 条策略信号，每条需关联具体字段并给出方向。\n3. 对每条信号列出对应的风险验证指标与触发阈值。\n4. 最终给出操作建议，并在 `confidence` 中量化判断依据。\n\n【输出格式】\n仅输出 JSON，不包含额外文字：\n{\n \"action\": \"BUY|BUY_S|BUY_M|BUY_L|SELL|HOLD\",\n \"confidence\": 小数,\n \"summary\": \"一句话\",\n \"signals\": [\n {\n \"statement\": \"现象描述\",\n \"evidence\": \"对应字段或数据来源\",\n \"direction\": \"bullish|bearish|neutral\"\n }\n ],\n \"risks\": [\n {\n \"threat\": \"风险描述\",\n \"monitor\": \"观测指标\",\n \"threshold\": \"触发阈值\"\n }\n ]\n}\n若缺少关键数据，请在 `risks` 中新增一项 `monitor` 为 `data_gap`。",
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"variables": [
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"title",
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"ts_code",
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"trade_date",
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"description",
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"instruction",
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"data_scope",
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"features",
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"market_snapshot",
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"supplements"
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],
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"max_length": 4000,
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"required_context": [
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"ts_code",
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"trade_date",
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"features",
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"market_snapshot"
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],
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"version": "1.2.0",
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"metadata": {
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"label": "structured_v2",
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"notes": "增加信号与风险的结构化字段。"
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},
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"activate": true
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}
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}
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app/data/prompt_templates/momentum_dept@1.1.0.json
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app/data/prompt_templates/momentum_dept@1.1.0.json
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{
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"momentum_dept": {
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"name": "动量研究部门模板",
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"description": "多层级动量评估版本",
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"template": "部门：动量研究部门\n股票代码：{ts_code}\n交易日：{trade_date}\n\n【角色定位】\n- 追踪价格与成交量动量的共振与切换。\n- 识别趋势衰减与阶段性反转信号。\n\n【分层动量视角】\n1. 超短线（1-3 日）动量：\n{features}\n2. 短线（5-10 日）趋势斜率：\n{market_snapshot}\n3. 中线（20+ 日）位置与乖离：\n{data_scope}\n\n【执行指引】\n- 对每个时间层给出强度评级（strong/weak/neutral）。\n- 若评级存在冲突，需在 `risks` 说明优先采信的层级。\n- 必须评估量价背离与成交密集区。\n\n【输出要求】\n仅输出 JSON：\n{\n \"action\": \"BUY|BUY_S|BUY_M|BUY_L|SELL|HOLD\",\n \"confidence\": 小数,\n \"summary\": \"一句话\",\n \"signals\": [\"层级+观察\", \"...\"],\n \"risks\": [\"层级+风险\", \"...\"]\n}\n若需进一步数据，请在 `risks` 中注明具体字段。",
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"variables": [
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"ts_code",
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"trade_date",
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"data_scope",
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"features",
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"market_snapshot",
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"supplements"
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],
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"max_length": 4000,
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"required_context": [
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"ts_code",
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"trade_date",
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"features",
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"market_snapshot"
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],
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"version": "1.1.0",
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"metadata": {
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"label": "multiframe",
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"notes": "分层动量分析，强调评级冲突解释。"
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},
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"activate": false
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}
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}
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@ -3,6 +3,7 @@ from __future__ import annotations
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import json
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import logging
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from pathlib import Path
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from dataclasses import dataclass
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from typing import Any, Dict, List, Optional, TYPE_CHECKING
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@ -633,4 +634,59 @@ def register_default_templates() -> None:
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# Auto-register default templates on module import
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EXTERNAL_TEMPLATE_DIR = Path(__file__).resolve().parents[1] / "data" / "prompt_templates"
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def load_external_template_configs(directory: Path | str = EXTERNAL_TEMPLATE_DIR) -> None:
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"""Load additional template versions from JSON files in the given directory."""
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directory_path = Path(directory)
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if not directory_path.exists() or not directory_path.is_dir():
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return
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for file_path in sorted(directory_path.glob("*.json")):
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try:
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raw_data = file_path.read_text(encoding="utf-8")
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except OSError:
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logging.warning("无法读取提示模板配置文件 %s", file_path)
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continue
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try:
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payload = json.loads(raw_data)
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except json.JSONDecodeError as exc:
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logging.warning("提示模板配置文件 %s 解析失败：%s", file_path, exc)
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continue
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enriched_payload = {}
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for template_id, cfg in payload.items():
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if not isinstance(cfg, dict):
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logging.warning(
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"提示模板配置文件 %s 中的 %s 配置无效（应为对象）",
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file_path,
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template_id,
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)
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continue
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metadata = cfg.get("metadata") or {}
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if not isinstance(metadata, dict):
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metadata = {}
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metadata.setdefault("source", file_path.name)
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enriched_payload[template_id] = {
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**cfg,
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"metadata": metadata,
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}
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if not enriched_payload:
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continue
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try:
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TemplateRegistry.load_from_json(json.dumps(enriched_payload, ensure_ascii=False))
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except Exception as exc: # noqa: BLE001
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logging.warning(
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"注册提示模板配置 %s 失败：%s",
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file_path,
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exc,
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)
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register_default_templates()
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load_external_template_configs()
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@ -25,6 +25,7 @@ from app.ingest.tushare import run_ingestion
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from app.llm.client import run_llm
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from app.llm.metrics import reset as reset_llm_metrics
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from app.llm.metrics import snapshot as snapshot_llm_metrics
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from app.llm.templates import TemplateRegistry
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from app.utils import alerts
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from app.utils.config import get_config, save_config
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from app.utils.tuning import log_tuning_result
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@ -464,6 +465,47 @@ def render_backtest_review() -> None:
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spec_labels.append(f"department:{dept_code}:tool_choice")
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action_values.append(tool_value)
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template_id = (settings.prompt_template_id or f"{dept_code}_dept").strip()
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versions = [ver for ver in TemplateRegistry.list_versions(template_id) if isinstance(ver, str)]
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if versions:
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active_version = TemplateRegistry.get_active_version(template_id)
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default_version = (
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settings.prompt_template_version
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or active_version
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or versions[0]
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)
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try:
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default_index = versions.index(default_version)
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except ValueError:
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default_index = 0
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version_choice = st.selectbox(
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"提示模板版本",
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versions,
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index=default_index,
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key=f"{prefix}_template_version",
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help="离散动作将按版本列表顺序映射，可用于强化学习优化。",
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)
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selected_index = versions.index(version_choice)
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ratio = (
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0.0
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if len(versions) == 1
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else selected_index / (len(versions) - 1)
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)
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specs.append(
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ParameterSpec(
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name=f"dept_prompt_version_{dept_code}",
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target=f"department.{dept_code}.prompt_template_version",
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values=list(versions),
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)
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)
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spec_labels.append(f"department:{dept_code}:prompt_version")
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action_values.append(ratio)
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st.caption(
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f"激活版本：{active_version or '默认'} ｜ 当前选择：{version_choice}"
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)
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else:
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st.caption("当前模板未注册可选提示词版本，继续沿用激活版本。")
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if specs:
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st.caption("动作维度顺序：" + "，".join(spec_labels))
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