LuminousRuoxi
6e0db821a8
- /api/translate 增加逐句模式（sentences）: 前端拆句（en 为原文精确文本）→ 模型逐句翻译， 数量/顺序校验复用 _count_check（不一致自动重试）；响应 en 原样回填保证对位可靠 - 左栏原文区新增「原文中文对照 →」: 逐句中文展示，命中批注 evidence 的句子 与原文同色（note-rhetoric/repeat/growth/structure）+ 同序号（sup）， 点击对照行可联动高亮原文句与批注卡片 - 对照缓存按段保存并持久化（原文变化/换文书自动失效清空） - 测试: 新增逐句模式 2 个 hermetic 测试（33 passed） - 浏览器实测 18/18 通过（含逐句渲染/高亮对位/点击联动/刷新持久化）
252 lines
9.8 KiB
Python
252 lines
9.8 KiB
Python
"""Human Voice Rewrite Demo backend (PRD v1.1).
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Serves the static demo page and domain endpoints that run the real
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OpenRouter pipeline. Run via ./local_start.sh.
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"""
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from __future__ import annotations
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from pathlib import Path
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from typing import Any, Callable
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from fastapi import FastAPI, HTTPException
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from fastapi.responses import FileResponse
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from evidence import sanitize_diagnosis
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from llm import LLMError, LlmClient
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from prompts import (
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build_analyze_prompt,
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build_diagnose_prompt,
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build_recheck_prompt,
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build_reference_prompt,
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build_scaffold_prompt,
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build_translate_prompt,
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build_translate_sentences_prompt,
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normalize_diagnose_payload,
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)
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from schemas import (
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AnalyzeRequest,
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AnalyzeResponse,
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DiagnoseRequest,
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DiagnoseResponse,
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GlobalChecks,
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RecheckRequest,
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RecheckResponse,
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ReferenceRequest,
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ReferenceResponse,
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RevisionTarget,
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ScaffoldRequest,
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ScaffoldResponse,
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SentencePair,
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TranslateRequest,
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TranslateResponse,
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)
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app = FastAPI(title="Human Voice Rewrite Demo", version="1.1.0")
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client: LlmClient | None = None
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HERE = Path(__file__).resolve().parent
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def get_client() -> LlmClient:
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global client
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if client is None:
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client = LlmClient()
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return client
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def run_json(phase: str, system: str, user: str, check: Callable[[dict[str, Any]], str | None] | None = None) -> dict:
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try:
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return get_client().complete_json(system, user, validate=check)
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except LLMError as exc:
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raise HTTPException(status_code=502, detail=f"{phase}失败：{exc}") from exc
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def _count_check(expected: int, key: str) -> Callable[[dict[str, Any]], str | None]:
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"""返回语义校验器：LLM 输出里按段组织的数组条目数必须与输入段数一致。
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不一致时返回一行中文说明（触发 complete_json 重试一次；两次都失败才变
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502 单行错误）——真因：真实 LLM 偶发返回合法 JSON 但段落条目不全，
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此前无数量校验被静默接受，AI 初审出现"4 段标题只显示 1 段"（用户实测）。"""
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def check(data: dict[str, Any]) -> str | None:
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got = len(data.get(key) or [])
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if got != expected:
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return f"结果段落数与输入不一致（输入 {expected} 段，返回 {got} 段）"
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return None
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return check
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def _friendly_validation(exc: Exception) -> str:
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"""把 pydantic ValidationError 压缩成一行用户可读摘要（PRD §11 失败兜底：
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返回用户可读错误，不把完整校验堆栈甩给页面）。"""
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errs = getattr(exc, "errors", lambda: [])()
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if not errs:
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return f"结果格式不符合预期：{exc}"
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parts = []
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for e in errs[:2]:
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loc = " → ".join(str(x) for x in e.get("loc", []))
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parts.append(f"{loc}：{e.get('msg', '')}" if loc else e.get("msg", ""))
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more = f"（共 {len(errs)} 处）" if len(errs) > 2 else ""
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return "结果格式不符合预期：" + "；".join(parts) + more
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@app.get("/api/health")
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def health() -> dict:
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return {"status": "ok"}
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@app.post("/api/analyze", response_model=AnalyzeResponse)
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def analyze(req: AnalyzeRequest) -> AnalyzeResponse:
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if not any(p.strip() for p in req.paragraphs):
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raise HTTPException(status_code=422, detail="文本为空，无法开始分析")
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system, user = build_analyze_prompt(req.prompt, req.word_limit, req.paragraphs, req.constraints)
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data = run_json("分析", system, user, check=_count_check(len(req.paragraphs), "paragraphs"))
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try:
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return AnalyzeResponse.model_validate(data)
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except Exception as exc: # pydantic ValidationError etc.
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raise HTTPException(status_code=502, detail=f"分析{_friendly_validation(exc)}") from exc
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@app.post("/api/diagnose", response_model=DiagnoseResponse)
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def diagnose(req: DiagnoseRequest) -> DiagnoseResponse:
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system, user = build_diagnose_prompt(
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req.prompt,
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req.word_limit,
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req.paragraphs,
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req.confirmed_anchors,
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req.global_constraints,
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req.paragraph_constraints,
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req.initial_analysis,
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)
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data = run_json("诊断", system, user, check=_count_check(len(req.paragraphs), "paragraph_briefs"))
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data = normalize_diagnose_payload(data)
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try:
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resp = DiagnoseResponse.model_validate(data)
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except Exception as exc:
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raise HTTPException(status_code=502, detail=f"诊断{_friendly_validation(exc)}") from exc
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return sanitize_diagnosis(resp, req.paragraphs)
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@app.post("/api/recheck", response_model=RecheckResponse)
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def recheck(req: RecheckRequest) -> RecheckResponse:
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if len(req.original_paragraphs) != len(req.rewrite_paragraphs):
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raise HTTPException(status_code=422, detail="原文段数与改写段数不一致")
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if any(not p.strip() for p in req.rewrite_paragraphs):
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raise HTTPException(status_code=422, detail="存在空段：全部段落完成改写后才能提交复检")
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system, user = build_recheck_prompt(req)
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data = run_json("复检", system, user)
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if isinstance(data.get("status"), str):
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data["status"] = "pass" if data["status"] == "pass" else "revision_required"
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if not data.get("checked_rewrite_version"):
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data["checked_rewrite_version"] = req.rewrite_version or ""
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try:
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resp = RecheckResponse.model_validate(data)
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except Exception as exc:
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raise HTTPException(status_code=502, detail=f"复检{_friendly_validation(exc)}") from exc
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if resp.status == "revision_required" and not resp.revision_targets:
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resp = RecheckResponse(
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status="revision_required",
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checked_rewrite_version=resp.checked_rewrite_version or req.rewrite_version,
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global_checks=resp.global_checks or GlobalChecks(),
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revision_targets=[
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RevisionTarget(
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paragraph_id="p1",
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blocking_issue="模型判定需要返工但未指明段落",
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single_revision_goal="重读当前段改写并修正最明显的问题",
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)
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],
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)
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return resp
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@app.post("/api/scaffold", response_model=ScaffoldResponse)
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def scaffold(req: ScaffoldRequest) -> ScaffoldResponse:
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system, user = build_scaffold_prompt(
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req.paragraph_id,
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req.original_text,
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req.semantic_anchor,
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req.rewrite_goal,
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req.global_constraints,
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req.paragraph_constraints,
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)
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data = run_json("写作起点", system, user)
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try:
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resp = ScaffoldResponse.model_validate(data)
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except Exception as exc:
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raise HTTPException(status_code=502, detail=f"写作起点{_friendly_validation(exc)}") from exc
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resp.paragraph_id = resp.paragraph_id or req.paragraph_id
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return resp
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@app.post("/api/reference", response_model=ReferenceResponse)
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def reference(req: ReferenceRequest) -> ReferenceResponse:
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goal = req.rewrite_goal or req.primary_goal
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system, user = build_reference_prompt(
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req.paragraph_id,
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req.original_text,
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req.semantic_anchor,
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goal,
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req.global_constraints,
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req.paragraph_constraints,
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)
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data = run_json("参考片段", system, user)
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try:
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resp = ReferenceResponse.model_validate(data)
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except Exception as exc:
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raise HTTPException(status_code=502, detail=f"参考片段{_friendly_validation(exc)}") from exc
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snippet = resp.reference_snippet or resp.starter
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resp.paragraph_id = resp.paragraph_id or req.paragraph_id
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resp.starter = snippet
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resp.reference_snippet = snippet
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return resp
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@app.post("/api/translate", response_model=TranslateResponse)
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def translate(req: TranslateRequest) -> TranslateResponse:
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"""体验优化：中文对照翻译。
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- text 整段模式：改写区「译成中文对照」（自查改写后原意/细节是否保留）
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- sentences 逐句模式：原文区「原文中文对照」（前端拆分句子，逐句对位，
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让「需要改写的高亮句」在中文对照里能同色找到）。"""
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if req.sentences:
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return _translate_sentences(req)
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if not req.text.strip():
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raise HTTPException(status_code=422, detail="没有可翻译的文本")
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system, user = build_translate_prompt(req.text)
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data = run_json("翻译", system, user)
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translation = data.get("translation")
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if isinstance(translation, list): # 模型偶发把字符串字段返回成数组
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translation = "".join(str(x) for x in translation)
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resp = TranslateResponse(paragraph_id=req.paragraph_id, translation=str(translation or "").strip())
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if not resp.translation:
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raise HTTPException(status_code=502, detail="翻译结果为空，请重试")
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return resp
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def _translate_sentences(req: TranslateRequest) -> TranslateResponse:
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clean = [s for s in (x.strip() for x in req.sentences) if s]
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if not clean:
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raise HTTPException(status_code=422, detail="没有可翻译的句子")
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system, user = build_translate_sentences_prompt(clean)
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# 句子数量校验复用 _count_check：不一致自动重试一次（对位可靠性依赖等长同序）
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data = run_json("翻译", system, user, check=_count_check(len(clean), "sentences"))
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items = data.get("sentences") or []
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pairs: list[SentencePair] = []
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for i, en in enumerate(clean):
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zh = ""
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if i < len(items) and isinstance(items[i], dict):
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value = items[i].get("zh")
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if isinstance(value, list): # 模型偶发把字符串字段返回成数组
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value = "".join(str(x) for x in value)
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zh = str(value or "").strip()
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pairs.append(SentencePair(en=en, zh=zh))
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if not any(p.zh for p in pairs):
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raise HTTPException(status_code=502, detail="翻译结果为空，请重试")
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return TranslateResponse(paragraph_id=req.paragraph_id, sentences=pairs)
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@app.get("/")
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def index() -> FileResponse:
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return FileResponse(HERE / "index.html", media_type="text/html")
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