mirror of
https://github.com/ZhuLinsen/daily_stock_analysis.git
synced 2026-10-06 14:33:11 +08:00
HyunRyeol Park
043c60378e
* feat(i18n): add Korean to report language label maps Extend the report language layer with a third code `ko` so reports can render deterministic labels in Korean. Adds `ko` to the supported list, aliases (korean/kr/ko-kr), every translation map, the full report label set, sentiment bands, the config registry enum and `.env.example`. `zh`/`en` behavior is unchanged and unknown languages still fall back to the default. Prompt and Web surfaces follow in later changes. Refs #1614 * feat(i18n): emit Korean output directives in analysis prompts Make the analysis and market-review prompts produce Korean output when REPORT_LANGUAGE=ko. The decision agent now appends a Korean output-language directive (JSON keys and decision_type enum unchanged), and the market-review prompt reuses the English structural scaffolding while instructing the model to write the shell, headings and conclusion in Korean. Market-phase and context-pack prompt sections route ko to the English structural base. The market-review payload keeps the truthful language code via a dedicated output-language helper, leaving zh/en behavior unchanged. Refs #1614 * fix(i18n): localize phase and market-context guardrails for Korean Route Korean reports through the English structural scaffolding for market-phase and market-context prompt sections, and add Korean output, detection markers, negations and recap patterns to the phase-decision and daily-market-context guardrails so they operate on Korean model output. Confidence and operation labels now flow through the shared localize helpers. zh/en behavior is unchanged. Refs #1614 * feat(i18n): localize Korean fallback output across analysis pipeline Add Korean output to the deterministic strings emitted outside the LLM: per-stock and executor output-language directives, no-API-key / backend / parse error fallbacks, hold-watch advice and reasons, market-review titles and summaries, and history and notification report labels. Fund flow, trend and confidence values now flow through the shared localize helpers, and language-keyed advice tables no longer raise KeyError for a third language. Structural prompt sections route ko to the English scaffolding. zh/en output is unchanged. Refs #1614 * feat(web): add Korean report language rendering Extend the Web ReportLanguage type with ko and add Korean copy to the report detail surfaces: report text, sentiment labels, market-phase labels, analysis-context summary, market-review view, diagnostics and news source. Run-flow chrome that is keyed by UI language falls back to English for ko. The report-language selector is driven by the backend config schema, so Korean appears automatically. zh/en rendering is unchanged. Refs #1614 * docs(i18n): document Korean report language support Note that REPORT_LANGUAGE accepts ko in the bilingual guides and the analyze / market-review request-language parameters, and add a CHANGELOG entry for Korean report output. Refs #1614 * fix(i18n): canonicalize Korean values and accept ko in API schemas Add Korean aliases to the operation-advice, trend, confidence, chip and bias canonical maps so Korean model output (매수/매도/보유/관망 etc.) resolves to the correct decision_type and signal level instead of falling back to hold or a score-band signal. Accept ko in the analyze, market-review and decision-signal request schemas (and the static API spec) so the typed client and backend agree and per-request Korean analysis is not rejected with 422. Refs #1614
67 lines
2.7 KiB
Python
67 lines
2.7 KiB
Python
# -*- coding: utf-8 -*-
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"""Tests for Korean (ko) output-language directives in analysis prompts (#1614)."""
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import unittest
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from src.agent.agents.decision_agent import DecisionAgent
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from src.agent.protocols import AgentContext
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from src.analysis_context_pack_prompt import normalize_analysis_context_pack_language
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from src.market_phase_prompt import format_market_phase_prompt_section
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def _phase_ctx():
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return {
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"market": "us",
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"phase": "premarket",
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"market_local_time": "2026-06-29T08:00:00-04:00",
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"effective_daily_bar_date": "2026-06-27",
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"minutes_to_open": 90,
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"warnings": [],
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}
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class DecisionAgentLanguageDirectiveTestCase(unittest.TestCase):
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def setUp(self) -> None:
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self.agent = DecisionAgent(tool_registry=None, llm_adapter=None)
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def _system_prompt(self, language: str, *, chat: bool = False) -> str:
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meta = {"report_language": language}
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if chat:
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meta["response_mode"] = "chat"
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ctx = AgentContext(stock_code="005930.KS", stock_name="삼성전자", meta=meta)
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return self.agent.system_prompt(ctx)
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def test_korean_dashboard_directive(self) -> None:
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prompt = self._system_prompt("ko")
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self.assertIn("Write all human-readable JSON values in Korean (한국어).", prompt)
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self.assertIn("`decision_type` must remain `buy|hold|sell`.", prompt)
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def test_korean_chat_directive(self) -> None:
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prompt = self._system_prompt("ko", chat=True)
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self.assertIn("항상 한국어로 답변하세요.", prompt)
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def test_english_directive_unchanged(self) -> None:
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prompt = self._system_prompt("en")
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self.assertIn("Write all human-readable JSON values in English.", prompt)
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def test_chinese_directive_unchanged(self) -> None:
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prompt = self._system_prompt("zh")
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self.assertIn("所有面向用户的人类可读文本值必须使用中文。", prompt)
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class StructuralLanguageRoutingTestCase(unittest.TestCase):
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def test_context_pack_korean_reuses_english_scaffolding(self) -> None:
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self.assertEqual(normalize_analysis_context_pack_language("ko"), "en")
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self.assertEqual(normalize_analysis_context_pack_language("en"), "en")
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self.assertEqual(normalize_analysis_context_pack_language("zh"), "zh")
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def test_market_phase_korean_matches_english_structure(self) -> None:
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ko_section = format_market_phase_prompt_section(_phase_ctx(), report_language="ko")
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en_section = format_market_phase_prompt_section(_phase_ctx(), report_language="en")
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self.assertEqual(ko_section, en_section)
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self.assertIn("## Market Phase Context", ko_section)
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if __name__ == "__main__":
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unittest.main()
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