refactor: 重构项目配置管理，统一使用.env配置

- 新增config.py统一读取.env配置，移除硬编码路径和参数
- 重构collect_jrxml.py支持命令行参数和环境变量配置源目录
- 新增.env.example示例配置文件，整理所有可配置项
- 重构down_embedding_model.py、import_to_chroma.py等所有脚本使用统一配置
- 新增Windows一键部署脚本setup.bat
- 修正jrxml_banch_chunker.py的文件名拼写错误

query_chroma.py

@@ -2,6 +2,7 @@
 query_chroma.py
 查询 Chroma 数据库，从自然语言查找相关 JRXML chunk
 支持命令行单次查询和交互式连续查询
+模型通过 .env / config.py 配置
 """
 
 import os
@@ -12,19 +13,27 @@ import numpy as np
 import torch
 from sentence_transformers import SentenceTransformer
 import chromadb
+from config import (
+    CHROMA_DB_PATH, CHROMA_COLLECTION_NAME, USE_FP16,
+    DEFAULT_N_RESULTS, SIMILARITY_THRESHOLD, resolve_model_path
+)
 
 
 class JRXMLSearcher:
     def __init__(self, chroma_path: str = None,
-                 collection_name: str = "jrxml_chunks",
+                 collection_name: str = None,
                  model_path: str = None,
-                 use_fp16: bool = True):
+                 use_fp16: bool = None):
         project_root = Path(__file__).resolve().parent
 
         if chroma_path is None:
-            chroma_path = str(project_root / "chroma_db")
+            chroma_path = str(CHROMA_DB_PATH)
+        if collection_name is None:
+            collection_name = CHROMA_COLLECTION_NAME
         if model_path is None:
-            model_path = str(project_root / "models" / "Qwen3-Embedding-4B")
+            model_path = resolve_model_path()
+        if use_fp16 is None:
+            use_fp16 = USE_FP16
 
         # 处理 Hub 模型名称
         model_path_str = str(model_path)
@@ -110,13 +119,13 @@ def main():
     parser.add_argument("query", nargs="?", default="",
                         help="搜索关键词（不提供则进入交互模式）")
     parser.add_argument("--chroma_path", "-c", default=None,
-                        help=f"Chroma 数据库路径 (默认: chroma_db)")
-    parser.add_argument("--collection", "-n", default="jrxml_chunks",
+                        help=f"Chroma 数据库路径 (默认: {CHROMA_DB_PATH})")
+    parser.add_argument("--collection", "-n", default=CHROMA_COLLECTION_NAME,
                         help="集合名称")
     parser.add_argument("--model_path", "-m", default=None,
                         help="嵌入模型路径")
-    parser.add_argument("--n_results", "-k", type=int, default=5,
-                        help="返回结果数 (默认: 5)")
+    parser.add_argument("--n_results", "-k", type=int, default=DEFAULT_N_RESULTS,
+                        help=f"返回结果数 (默认: {DEFAULT_N_RESULTS})")
     parser.add_argument("--filter_field", "-f",
                         help="按 chunk_type 过滤，例如: field, query, chart")
     parser.add_argument("--threshold", "-t", type=float,
@@ -127,14 +136,10 @@ def main():
     args = parser.parse_args()
 
     if args.chroma_path is None:
-        args.chroma_path = str(project_root / "chroma_db")
+        args.chroma_path = str(CHROMA_DB_PATH)
 
     if args.model_path is None:
-        default_model = project_root / "models" / "Qwen3-Embedding-4B"
-        if not default_model.exists():
-            args.model_path = "sentence-transformers/all-MiniLM-L6-v2"
-        else:
-            args.model_path = str(default_model)
+        args.model_path = resolve_model_path()
 
     # 检查数据库
     if not os.path.exists(args.chroma_path):