feat(writer): add WriteOrchestrator.generate (vertical slice, real DocxInjector.inject)

This commit is contained in:
lhl
2026-08-13 10:32:35 +08:00
parent f175203a23
commit 08e311b0a1
5 changed files with 183 additions and 0 deletions
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"""Phase 5 垂直切片运行脚本(CLI)。
用法:
python scripts/run_phase5_slice.py --template <PATH> --output <PATH> [--fake]
- --fake: 使用内置 FakeEngine(无需 LLM 客户端/API Key),用于验证管线打通。
- 不带 --fake: 使用真实 InferenceEngine(),需先配置 LLM 客户端(人工质量门禁)。
管线: WordTemplateParser → StructuredSource → WriteOrchestrator.generate → docx。
"""
from __future__ import annotations
import argparse
from types import SimpleNamespace
from docx import Document
from genesis.data_models import StructuredSource
from genesis.parsers.word_template_parser import WordTemplateParser
from genesis.writer.orchestrator import WriteOrchestrator
class FakeEngine:
"""切片验证用假引擎:返回固定章节内容,避免真实 LLM 调用。"""
def chat_structured(self, *, session_id, prompt, variables, schema, retry_count=2):
return SimpleNamespace(
data={
"title": variables.get("title", ""),
"blocks": [{"type": "paragraph", "text": f"{variables.get('title','')}】自动生成的内容(fake 模式)"}],
},
status="ok",
)
def _build_source(template_path: str) -> StructuredSource:
parsed = WordTemplateParser().parse(template_path)
return StructuredSource(
tables=[],
template=parsed,
rule_docs=[],
image_analyses=[],
existing_system=None,
comments=[],
)
def _main() -> None:
parser = argparse.ArgumentParser(description="Phase 5 垂直切片运行脚本")
parser.add_argument("--template", required=True, help="概要设计模板 docx 路径")
parser.add_argument("--output", required=True, help="输出 docx 路径")
parser.add_argument("--fake", action="store_true", help="使用 FakeEngine(无 LLM")
parser.add_argument("--samples-dir", default="samples", help="RAG 样本目录")
args = parser.parse_args()
source = _build_source(args.template)
engine = FakeEngine() if args.fake else None # None → 真实 InferenceEngine()(需客户端配置)
orch = WriteOrchestrator()
contents = orch.generate(
source,
args.output,
samples_dir=args.samples_dir,
engine=engine,
template_path=args.template,
)
loaded = Document(args.output)
joined = "\n".join(p.text for p in loaded.paragraphs)
print(f"[slice] 生成章节数: {len(contents)}")
print(f"[slice] 输出路径: {args.output}")
print(f"[slice] 注入校验: {'OK' if any('自动生成' in p.text for p in loaded.paragraphs) else 'EMPTY'}")
print(f"[slice] 文本内容预览:\n{joined[:200]}")
if __name__ == "__main__":
_main()
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"""Writer 编排:上下文装配 → 逐章生成 → 渲染 → docx 注入(Phase 5 垂直切片)。"""
from __future__ import annotations
from pathlib import Path
from docx import Document
from genesis.data_models import StructuredSource
from genesis.inference.engine import InferenceEngine
from genesis.inference.prompt_registry import PromptRegistry
from genesis.writer.context_builder import build_contexts
from genesis.writer.docx_injector import Block, DocxInjector
from genesis.writer.models import ChapterContent
from genesis.writer.renderer import render_chapter_blocks
from genesis.writer.writer_agent import WriterAgent
from genesis.writer.writer_state import WriterState
def _section_id_of(placeholder: str | None) -> str | None:
if not placeholder or not placeholder.startswith("section:"):
return None
return placeholder[len("section:"):]
class WriteOrchestrator:
def generate(
self,
structured_source: StructuredSource,
output_path: str,
session_id: str = "writer",
samples_dir: str = "samples",
engine=None,
prompt_registry=None,
template_path: str | None = None,
) -> list[ChapterContent]:
engine = engine or InferenceEngine()
prompt_registry = prompt_registry or PromptRegistry()
ctxs = build_contexts(structured_source, samples_dir)
state = WriterState([c.chapter_id for c in ctxs])
agent = WriterAgent(session_id=session_id, engine=engine, prompt_registry=prompt_registry, state=state)
contents: list[ChapterContent] = []
sections: dict[str, list[Block]] = {}
for ctx in ctxs:
content = agent.generate_chapter(ctx)
contents.append(content)
blocks = render_chapter_blocks(content)
sec_id = _section_id_of(ctx.template_marker.section_placeholder)
if sec_id:
sections[sec_id] = blocks
tpl = template_path or getattr(structured_source.template, "file_name", None)
if not tpl:
raise ValueError("template_path 必须提供(structured_source.template.file_name 为空)")
doc = DocxInjector(tpl).inject(sections, meta={})
Path(output_path).parent.mkdir(parents=True, exist_ok=True)
doc.save(output_path)
return contents
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import pytest
from types import SimpleNamespace
from docx import Document
from genesis.data_models import ParsedTemplate, ChapterMarker
from genesis.writer.orchestrator import WriteOrchestrator
from genesis.writer.models import ChapterContent
class FakeEngine:
def chat_structured(self, *, session_id, prompt, variables, schema, retry_count=2):
# 返回一个固定章节内容(title + 一个段落块)
return SimpleNamespace(
data={"title": variables["title"], "blocks": [{"type": "paragraph", "text": "自动生成的内容"}]},
status="ok",
)
def _make_template(path):
doc = Document()
doc.add_paragraph("はじめに", style="Heading 1")
doc.add_paragraph("{{section:introduction}}")
doc.save(path)
def _ss(template_path):
parsed = ParsedTemplate(
file_name=template_path,
sections=[
ChapterMarker(type="heading", name="はじめに", level=1),
ChapterMarker(type="placeholder", name="section:introduction", level=0),
],
placeholders={},
styles={"defined": ["Heading 1"], "used": ["Heading 1"]},
)
return SimpleNamespace(template=parsed)
def test_generate_produces_filled_docx(tmp_path):
tpl = tmp_path / "tpl.docx"
out = tmp_path / "out.docx"
_make_template(str(tpl))
orch = WriteOrchestrator()
contents = orch.generate(_ss(str(tpl)), str(out), samples_dir="nonexistent_dir_xyz", engine=FakeEngine())
assert isinstance(contents, list) and len(contents) == 1
# 输出 docx 含注入文本且无残留异常
loaded = Document(str(out))
joined = "\n".join(p.text for p in loaded.paragraphs)
assert "自动生成的内容" in joined