3218485270
f493bde8a9
- 缓存热点批量流程（有采集缓存不触发 Google） - 简报不足直接从采集缓存生成（轻量补齐） - 三图合成（模特/印花/底图）+ 底图压缩 <2MB - 热点去重→风格去重自动切换 + 不适合类目 review 兜底 - 透明背景（background=transparent）+ 提示词清洗（敏感词/背景描述） - 任务前 basemap 校验 + 模板国家校验 + 模特任务级分配
112 lines
4.3 KiB
Python
112 lines
4.3 KiB
Python
"""构建并编译 LangGraph，提供 run_country() 入口。
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图结构（线性流水线，节点全部带兜底）：
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START -> seed -> fetch -> filter -> score -> screen -> prompt_build
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-> compose（生成纯印花设计稿 + 导出简报）-> product（底图/模特/三图合成/模板）
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-> oss_upload（压缩 3:4 / ≥1340×1785 / <2MB + 上传阿里云 OSS）-> END
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"""
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import time
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from pathlib import Path
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from typing import Any, Dict, Optional
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from langgraph.graph import END, StateGraph
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from graph.loader import build_country_config
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from graph.nodes import (
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compose_node,
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fetch_node,
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filter_node,
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oss_upload_node,
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product_node,
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prompt_node,
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score_node,
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screen_node,
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seed_node,
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seed_shot_node,
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template_export_node,
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)
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from graph.state import AgentState
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def build_graph():
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"""构建 StateGraph 并编译。"""
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builder = StateGraph(AgentState)
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builder.add_node("seed", seed_node)
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builder.add_node("fetch", fetch_node)
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builder.add_node("filter", filter_node)
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builder.add_node("score", score_node)
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builder.add_node("screen", screen_node)
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builder.add_node("prompt_build", prompt_node)
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builder.add_node("product", product_node)
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builder.add_node("compose", compose_node)
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builder.add_node("oss_upload", oss_upload_node)
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builder.add_node("seed_shot", seed_shot_node)
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builder.add_node("template_export", template_export_node)
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builder.add_edge("__start__", "seed")
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builder.add_edge("seed", "fetch")
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builder.add_edge("fetch", "filter")
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builder.add_edge("filter", "score")
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builder.add_edge("score", "screen")
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builder.add_edge("screen", "prompt_build")
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builder.add_edge("prompt_build", "compose") # compose：生成纯印花设计稿（放前面）
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builder.add_edge("compose", "product") # product：底图/模特/三图合成/模板
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builder.add_edge("product", "oss_upload") # oss_upload：压缩 + 上传图床
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builder.add_edge("oss_upload", "seed_shot") # seed_shot：种草图生成（模板+模特特征 yaml）→ 上传
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builder.add_edge("seed_shot", "template_export") # template_export：最终结果导入商品上传模板
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builder.add_edge("template_export", END)
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return builder.compile()
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def run_country(
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country: str,
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global_config: Dict[str, Any],
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project_root: Path,
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output_root: Optional[Path] = None,
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base_image: Optional[str] = None,
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task_timestamp: Optional[str] = None,
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) -> Dict[str, Any]:
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"""运行单个国家的完整流水线，返回最终 state（含 errors / stats / briefs）。
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project_root：数据文件根（configs / prompts，打包后为 _MEIPASS 只读目录）。
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output_root ：产物输出根（默认=project_root；打包后传 exe 旁运行目录，
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避免把 output/ 写进临时解压目录导致重启丢失）。
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task_timestamp：任务时间戳（每次点击运行 = 一个任务）；None 时自动生成。
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"""
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compiled = build_graph()
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cc = build_country_config(global_config, country, project_root)
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prompts_dir = project_root / "prompts" / country
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cache_dir = (output_root or project_root) / "output" / country # 缓存/去重（根目录）
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ts = task_timestamp or time.strftime("%Y%m%d_%H%M%S")
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_base = ts
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_i = 1
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while (cache_dir / ts).exists(): # 时间戳文件夹唯一（同秒多任务防冲突/覆盖）
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ts = f"{_base}_{_i}"
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_i += 1
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output_dir = cache_dir / ts # 本次任务产物（时间戳文件夹）
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state: Dict[str, Any] = {
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"country": country,
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"config": global_config,
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"country_config": cc,
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"prompts_dir": str(prompts_dir),
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"cache_dir": str(cache_dir),
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"output_dir": str(output_dir),
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"raw_rows": [],
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"filtered_rows": [],
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"scored_rows": [],
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"screened": [],
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"briefs": [],
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"composite": [],
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"designs": [],
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"errors": [],
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"stats": {},
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"task_timestamp": ts, # 任务开始时间戳（OSS 路径段 / 产物文件夹名）
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"oss_seq": 0, # 货号计数（000 起，最多 999）
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}
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if base_image:
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state["base_image"] = base_image
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result = compiled.invoke(state)
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return result
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