458 lines
17 KiB
Python
458 lines
17 KiB
Python
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"""
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IO 节点集合
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用于文件系统操作、路径处理等
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"""
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import os
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import glob
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from pathlib import Path
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from ..core.user_manager import CLOUD_ROOT
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from typing import Any, Dict, Optional, List
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from server.app.core.node_base import (
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TraceNode,
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input_port,
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output_port,
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param,
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context_var,
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NodeType,
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CachePolicy
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)
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from server.app.core.node_registry import register_node
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import yaml
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def load_system_config():
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"""加载系统配置"""
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config_path = Path(__file__).parent.parent.parent / "system_config.yaml"
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if config_path.exists():
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with open(config_path, 'r', encoding='utf-8') as f:
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return yaml.safe_load(f)
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return {}
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@register_node
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class DirectoryScanner(TraceNode):
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"""
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目录扫描器
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功能：
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1. 扫描指定目录下的文件
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2. 支持扩展名过滤（如 .utrace）
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3. 支持递归扫描子目录
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4. 支持模式匹配（glob pattern）
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5. 输出文件路径列表（数组）
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使用场景：
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- 批量处理多个 .utrace 文件
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- 查找特定类型的文件
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- 作为数组数据源，配合 EXPAND 维度转换
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"""
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CATEGORY = "IO/Scanner"
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DISPLAY_NAME = "目录扫描器"
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DESCRIPTION = "扫描目录并输出文件路径列表"
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ICON = "📁"
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NODE_TYPE = NodeType.INPUT
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CACHE_POLICY = CachePolicy.NONE # 每次都重新扫描
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@output_port("files", "Array<String>", description="文件路径列表（数组）")
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@output_port("count", "Number", description="文件数量")
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@param("directory", "String", default="", description="要扫描的目录（相对于用户目录）", required=True)
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@param("pattern", "String", default="*.utrace", description="文件匹配模式（支持 glob）", required=True)
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@param("recursive", "Boolean", default=False, description="是否递归扫描子目录")
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@param("sort_by", "String", default="name", description="排序方式",
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options=["name", "size", "modified", "created", "none"])
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@param("reverse_sort", "Boolean", default=False, description="反向排序")
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@param("max_files", "Number", default=0, description="最大文件数（0=无限制）", min=0, step=1)
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@context_var("scan_path", "String", description="实际扫描的完整路径")
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@context_var("file_count", "Integer", description="找到的文件数")
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@context_var("total_size", "String", description="文件总大小")
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def process(self, inputs: Dict[str, Any], context: Optional[Dict] = None) -> Dict[str, Any]:
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# 获取参数
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directory = self.get_param("directory", "")
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pattern = self.get_param("pattern", "*.utrace")
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recursive = self.get_param("recursive", False)
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sort_by = self.get_param("sort_by", "name")
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reverse_sort = self.get_param("reverse_sort", False)
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max_files = int(self.get_param("max_files", 0))
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if not directory:
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raise ValueError("必须指定 directory 参数")
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scan_path = CLOUD_ROOT / directory
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if not scan_path.exists():
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raise FileNotFoundError(f"目录不存在：{scan_path}")
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if not scan_path.is_dir():
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raise ValueError(f"路径不是目录：{scan_path}")
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# 扫描文件
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files = []
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if recursive:
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# 递归扫描
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search_pattern = f"**/{pattern}"
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file_paths = glob.glob(str(scan_path / search_pattern), recursive=True)
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else:
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# 只扫描当前目录
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file_paths = glob.glob(str(scan_path / pattern))
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# 转换为 Path 对象并过滤
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file_objects = []
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for fp in file_paths:
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p = Path(fp)
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if p.is_file(): # 只保留文件，排除目录
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file_objects.append(p)
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# 排序
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if sort_by != "none":
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if sort_by == "name":
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file_objects.sort(key=lambda x: x.name, reverse=reverse_sort)
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elif sort_by == "size":
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file_objects.sort(key=lambda x: x.stat().st_size, reverse=reverse_sort)
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elif sort_by == "modified":
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file_objects.sort(key=lambda x: x.stat().st_mtime, reverse=reverse_sort)
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elif sort_by == "created":
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file_objects.sort(key=lambda x: x.stat().st_ctime, reverse=reverse_sort)
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# 限制文件数
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if max_files > 0:
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file_objects = file_objects[:max_files]
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# 计算总大小
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total_size = sum(f.stat().st_size for f in file_objects)
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# 转换为路径字符串
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for file_obj in file_objects:
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rel_path = file_obj.relative_to(CLOUD_ROOT)
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files.append(str(rel_path).replace("\\\\", "/"))
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return {
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"files": files,
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"count": len(files)
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}
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@staticmethod
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def _format_file_size(size_bytes: int) -> str:
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"""格式化文件大小"""
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for unit in ['B', 'KB', 'MB', 'GB']:
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if size_bytes < 1024.0:
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return f"{size_bytes:.2f} {unit}"
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size_bytes /= 1024.0
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return f"{size_bytes:.2f} TB"
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@register_node
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class PathFilter(TraceNode):
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"""
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路径过滤器
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功能：
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从路径列表中过滤出符合条件的路径
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"""
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CATEGORY = "IO/Filter"
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DISPLAY_NAME = "路径过滤器"
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DESCRIPTION = "根据条件过滤文件路径列表"
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ICON = "🔍"
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@input_port("paths", "Array<String>", description="输入路径列表")
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@output_port("filtered", "Array<String>", description="过滤后的路径列表")
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@output_port("count", "Number", description="过滤后的数量")
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@param("include_pattern", "String", default="", description="包含模式（支持通配符）")
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@param("exclude_pattern", "String", default="", description="排除模式（支持通配符）")
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@param("min_size", "Number", default=0, description="最小文件大小（字节）", min=0)
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@param("max_size", "Number", default=0, description="最大文件大小（字节，0=无限制）", min=0)
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@param("case_sensitive", "Boolean", default=False, description="大小写敏感")
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@context_var("filtered_count", "Integer", description="过滤后的文件数")
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@context_var("removed_count", "Integer", description="移除的文件数")
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def process(self, inputs: Dict[str, Any], context: Optional[Dict] = None) -> Dict[str, Any]:
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import fnmatch
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paths = inputs.get("paths", [])
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if not isinstance(paths, list):
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paths = [paths]
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include_pattern = self.get_param("include_pattern", "")
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exclude_pattern = self.get_param("exclude_pattern", "")
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min_size = self.get_param("min_size", 0)
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max_size = self.get_param("max_size", 0)
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case_sensitive = self.get_param("case_sensitive", False)
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# 加载配置获取基础路径
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config = load_system_config()
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cloud_root = Path(config.get("storage", {}).get("cloud_root", "./cloud"))
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user_id = (context or {}).get("user_id", "guest")
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user_base = cloud_root / "users" / user_id
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filtered = []
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for path_str in paths:
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# 构建完整路径用于检查文件大小
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if Path(path_str).is_absolute():
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full_path = Path(path_str)
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else:
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full_path = user_base / path_str
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# 检查文件是否存在
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if not full_path.exists() or not full_path.is_file():
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continue
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# 获取文件名用于模式匹配
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filename = Path(path_str).name
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if not case_sensitive:
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filename = filename.lower()
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check_include = include_pattern.lower() if include_pattern else ""
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check_exclude = exclude_pattern.lower() if exclude_pattern else ""
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else:
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check_include = include_pattern
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check_exclude = exclude_pattern
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# 包含模式检查
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if include_pattern:
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if not fnmatch.fnmatch(filename, check_include):
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continue
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# 排除模式检查
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if exclude_pattern:
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if fnmatch.fnmatch(filename, check_exclude):
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continue
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# 文件大小检查
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file_size = full_path.stat().st_size
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if min_size > 0 and file_size < min_size:
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continue
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if max_size > 0 and file_size > max_size:
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continue
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filtered.append(path_str)
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return {"filtered": filtered, "count": len(filtered)}
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@register_node
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class PathBuilder(TraceNode):
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"""
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路径构建器
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功能：
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组合目录和文件名构建完整路径
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"""
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CATEGORY = "IO/Builder"
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DISPLAY_NAME = "路径构建器"
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DESCRIPTION = "组合目录和文件名构建路径"
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ICON = "🔨"
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@input_port("directory", "String", description="目录路径")
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@input_port("filename", "String", description="文件名")
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@output_port("path", "String", description="完整路径")
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@param("separator", "String", default="/", description="路径分隔符", options=["/", "\\"])
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@param("normalize", "Boolean", default=True, description="规范化路径")
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def process(self, inputs: Dict[str, Any], context: Optional[Dict] = None) -> Dict[str, Any]:
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directory = inputs.get("directory", "")
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filename = inputs.get("filename", "")
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separator = self.get_param("separator", "/")
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normalize = self.get_param("normalize", True)
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# 组合路径
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if directory and filename:
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# 移除目录末尾的分隔符
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clean_dir = directory.rstrip('/').rstrip('\\\\')
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path = f"{clean_dir}{separator}{filename}"
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elif directory:
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path = directory
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elif filename:
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path = filename
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else:
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path = ""
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# 规范化
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if normalize and path:
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path = str(Path(path)).replace("\\", separator)
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return {"path": path}
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@register_node
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class FileInfo(TraceNode):
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"""
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文件信息读取器
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功能：
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读取文件的详细信息（大小、修改时间等）
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"""
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CATEGORY = "IO/Info"
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DISPLAY_NAME = "文件信息"
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DESCRIPTION = "读取文件的详细信息"
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ICON = "ℹ️"
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@input_port("file_path", "String", description="文件路径")
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@output_port("exists", "Boolean", description="文件是否存在")
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@output_port("size", "Number", description="文件大小（字节）")
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@output_port("size_formatted", "String", description="格式化的文件大小")
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@output_port("name", "String", description="文件名")
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@output_port("extension", "String", description="文件扩展名")
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@output_port("directory", "String", description="所在目录")
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@context_var("modified_time", "String", description="修改时间")
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@context_var("created_time", "String", description="创建时间")
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def process(self, inputs: Dict[str, Any], context: Optional[Dict] = None) -> Dict[str, Any]:
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from datetime import datetime
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file_path = inputs.get("file_path", "")
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if not file_path:
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raise ValueError("必须提供 file_path 输入")
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# 加载配置
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config = load_system_config()
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cloud_root = Path(config.get("storage", {}).get("cloud_root", "./cloud"))
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user_id = (context or {}).get("user_id", "guest")
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# 构建完整路径
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if Path(file_path).is_absolute():
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full_path = Path(file_path)
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else:
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full_path = cloud_root / "users" / user_id / file_path
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# 检查文件是否存在
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exists = full_path.exists() and full_path.is_file()
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if exists:
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stat = full_path.stat()
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size = stat.st_size
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size_formatted = self._format_file_size(size)
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name = full_path.name
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extension = full_path.suffix
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directory = str(full_path.parent)
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modified_time = datetime.fromtimestamp(stat.st_mtime).strftime("%Y-%m-%d %H:%M:%S")
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created_time = datetime.fromtimestamp(stat.st_ctime).strftime("%Y-%m-%d %H:%M:%S")
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else:
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size = 0
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size_formatted = "0 B"
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|||
|
|
name = Path(file_path).name
|
|||
|
|
extension = Path(file_path).suffix
|
|||
|
|
directory = str(Path(file_path).parent)
|
|||
|
|
modified_time = ""
|
|||
|
|
created_time = ""
|
|||
|
|
|
|||
|
|
return {
|
|||
|
|
"exists": exists,
|
|||
|
|
"size": size,
|
|||
|
|
"size_formatted": size_formatted,
|
|||
|
|
"name": name,
|
|||
|
|
"extension": extension,
|
|||
|
|
"directory": directory
|
|||
|
|
}
|
|||
|
|
|
|||
|
|
@staticmethod
|
|||
|
|
def _format_file_size(size_bytes: int) -> str:
|
|||
|
|
"""格式化文件大小"""
|
|||
|
|
for unit in ['B', 'KB', 'MB', 'GB']:
|
|||
|
|
if size_bytes < 1024.0:
|
|||
|
|
return f"{size_bytes:.2f} {unit}"
|
|||
|
|
size_bytes /= 1024.0
|
|||
|
|
return f"{size_bytes:.2f} TB"
|
|||
|
|
|
|||
|
|
|
|||
|
|
@register_node
|
|||
|
|
class ArrayToString(TraceNode):
|
|||
|
|
"""
|
|||
|
|
数组转字符串
|
|||
|
|
|
|||
|
|
功能：
|
|||
|
|
将数组元素连接成一个字符串
|
|||
|
|
"""
|
|||
|
|
|
|||
|
|
CATEGORY = "Array/Transform"
|
|||
|
|
DISPLAY_NAME = "数组转字符串"
|
|||
|
|
DESCRIPTION = "将数组元素用分隔符连接成字符串"
|
|||
|
|
ICON = "📝"
|
|||
|
|
|
|||
|
|
@input_port("array", "Array", description="输入数组")
|
|||
|
|
@output_port("string", "String", description="连接后的字符串")
|
|||
|
|
@output_port("length", "Number", description="数组元素个数")
|
|||
|
|
@param("separator", "String", default=", ", description="分隔符")
|
|||
|
|
@param("prefix", "String", default="", description="前缀")
|
|||
|
|
@param("suffix", "String", default="", description="后缀")
|
|||
|
|
def process(self, inputs: Dict[str, Any], context: Optional[Dict] = None) -> Dict[str, Any]:
|
|||
|
|
array = inputs.get("array", [])
|
|||
|
|
if not isinstance(array, list):
|
|||
|
|
array = [array]
|
|||
|
|
|
|||
|
|
separator = self.get_param("separator", ", ")
|
|||
|
|
prefix = self.get_param("prefix", "")
|
|||
|
|
suffix = self.get_param("suffix", "")
|
|||
|
|
|
|||
|
|
# 转换为字符串并连接
|
|||
|
|
string_list = [str(item) for item in array]
|
|||
|
|
result = prefix + separator.join(string_list) + suffix
|
|||
|
|
|
|||
|
|
return {"string": result, "length": len(array)}
|
|||
|
|
|
|||
|
|
|
|||
|
|
@register_node
|
|||
|
|
class StringToArray(TraceNode):
|
|||
|
|
"""
|
|||
|
|
字符串转数组
|
|||
|
|
|
|||
|
|
功能：
|
|||
|
|
将字符串按分隔符拆分成数组
|
|||
|
|
"""
|
|||
|
|
|
|||
|
|
CATEGORY = "Array/Transform"
|
|||
|
|
DISPLAY_NAME = "字符串转数组"
|
|||
|
|
DESCRIPTION = "将字符串按分隔符拆分成数组"
|
|||
|
|
ICON = "✂️"
|
|||
|
|
|
|||
|
|
@input_port("string", "String", description="输入字符串")
|
|||
|
|
@output_port("array", "Array<String>", description="拆分后的数组")
|
|||
|
|
@output_port("count", "Number", description="元素个数")
|
|||
|
|
@param("separator", "String", default=",", description="分隔符")
|
|||
|
|
@param("strip_whitespace", "Boolean", default=True, description="去除空白字符")
|
|||
|
|
@param("remove_empty", "Boolean", default=True, description="移除空元素")
|
|||
|
|
def process(self, inputs: Dict[str, Any], context: Optional[Dict] = None) -> Dict[str, Any]:
|
|||
|
|
string = inputs.get("string", "")
|
|||
|
|
separator = self.get_param("separator", ",")
|
|||
|
|
strip_whitespace = self.get_param("strip_whitespace", True)
|
|||
|
|
remove_empty = self.get_param("remove_empty", True)
|
|||
|
|
|
|||
|
|
# 拆分字符串
|
|||
|
|
array = string.split(separator)
|
|||
|
|
|
|||
|
|
# 去除空白
|
|||
|
|
if strip_whitespace:
|
|||
|
|
array = [item.strip() for item in array]
|
|||
|
|
|
|||
|
|
# 移除空元素
|
|||
|
|
if remove_empty:
|
|||
|
|
array = [item for item in array if item]
|
|||
|
|
|
|||
|
|
return {"array": array, "count": len(array)}
|
|||
|
|
|
|||
|
|
|
|||
|
|
@register_node
|
|||
|
|
class SaveDataframe(TraceNode):
|
|||
|
|
"""保存 DataFrame 到 CSV 文件"""
|
|||
|
|
CATEGORY = "IO/Save"
|
|||
|
|
DISPLAY_NAME = "保存表为CSV"
|
|||
|
|
DESCRIPTION = "将 DataFrame 保存为 CSV 文件"
|
|||
|
|
ICON = "💾"
|
|||
|
|
|
|||
|
|
@input_port("df", "DataTable", description="要保存的 DataFrame", required=True)
|
|||
|
|
@param("filename", "String", default="output.csv", description="保存的文件名（相对用户目录）", required=True)
|
|||
|
|
@output_port("path", "String", description="保存后的文件路径")
|
|||
|
|
def process(self, inputs: Dict[str, Any], context: Optional[Dict] = None) -> Dict[str, Any]:
|
|||
|
|
import polars as pl
|
|||
|
|
from pathlib import Path
|
|||
|
|
df = inputs.get("df", None)
|
|||
|
|
if df is None or not isinstance(df, pl.DataFrame):
|
|||
|
|
raise ValueError("输入必须为 polars.DataFrame")
|
|||
|
|
|
|||
|
|
filepath = self.get_param("filename", "output.csv")
|
|||
|
|
if not filepath:
|
|||
|
|
raise ValueError("必须指定文件名")
|
|||
|
|
|
|||
|
|
save_path = CLOUD_ROOT / filepath
|
|||
|
|
save_path.parent.mkdir(parents=True, exist_ok=True)
|
|||
|
|
|
|||
|
|
# 保存为 CSV
|
|||
|
|
df.write_csv(str(save_path))
|
|||
|
|
|
|||
|
|
return {"path": str(save_path)}
|