fix: 测试数据打包进套件 data/，去掉外部输入参数

- 去掉 province/cities 参数，只保留 output_path
- GeoJSON 数据放在 data/ 目录，脚本自动读取
- 版本升到 1.0.1
- MEMORY.md / TOOLS.md 补充 platform 发布参数说明

Ref: SuiteHub/agent-profiles#22

suites/test-linux/scripts/convert.py

@@ -1,7 +1,7 @@
 #!/usr/bin/env python3
 """
 Step 1: GeoJSON → SHP
-将省界和城市 GeoJSON 文件转换为 Shapefile
+从内置 data/ 目录读取 GeoJSON，转为 Shapefile
 """
 import sys
 import json
@@ -9,47 +9,47 @@ import os
 import geopandas as gpd
 
 
+def get_data_dir():
+    """返回内置 data/ 目录路径（相对脚本位置）"""
+    script_dir = os.path.dirname(os.path.abspath(__file__))
+    return os.path.normpath(os.path.join(script_dir, "..", "data"))
+
+
 def main():
-    province_path = os.environ.get("PARAM_PROVINCE", "")
-    cities_param = os.environ.get("PARAM_CITIES", "")
     output_dir = os.environ.get("PARAM_OUTPUT_DIR", "/tmp/output/shp")
-
-    if not province_path:
-        print(json.dumps({"error": "缺少 province 参数", "success": False}))
-        sys.exit(1)
-    if not cities_param:
-        print(json.dumps({"error": "缺少 cities 参数", "success": False}))
-        sys.exit(1)
-
     os.makedirs(output_dir, exist_ok=True)
 
-    # 读取并转换省界
+    data_dir = get_data_dir()
-    print(json.dumps({"msg": f"读取省界: {province_path}"}))
+
-    province_gdf = gpd.read_file(province_path)
+    # 数据文件映射
-    province_shp = os.path.join(output_dir, "province.shp")
+    geo_files = {
-    province_gdf.to_file(province_shp, driver="ESRI Shapefile")
+        "province": "yunnan.geojson",
-    print(json.dumps({"msg": f"省界已转为 SHP: {province_shp}", "count": len(province_gdf)}))
+        "kunming": "kunming.geojson",
+        "dali": "dali.geojson",
+        "baise": "baise.geojson",
+    }
 
-    # 读取并转换每个城市 GeoJSON
-    city_files = [c.strip() for c in cities_param.split(",") if c.strip()]
     converted = []
-    for cf in city_files:
+    for name, filename in geo_files.items():
-        if not os.path.isfile(cf):
+        filepath = os.path.join(data_dir, filename)
-            print(json.dumps({"warn": f"文件不存在，跳过: {cf}"}))
+        if not os.path.isfile(filepath):
+            print(json.dumps({"warn": f"内置数据文件不存在，跳过: {filepath}"}))
             continue
-        print(json.dumps({"msg": f"读取城市: {cf}"}))
+        print(json.dumps({"msg": f"读取内置数据: {filename}"}))
-        gdf = gpd.read_file(cf)
+        gdf = gpd.read_file(filepath)
-        base = os.path.splitext(os.path.basename(cf))[0]
+        shp_path = os.path.join(output_dir, f"{name}.shp")
-        shp_path = os.path.join(output_dir, f"{base}.shp")
         gdf.to_file(shp_path, driver="ESRI Shapefile")
-        converted.append(base)
+        converted.append(name)
-        print(json.dumps({"msg": f"已转换: {cf} → {shp_path}", "count": len(gdf)}))
+        print(json.dumps({"msg": f"已转换: {filename} → {shp_path}", "count": len(gdf)}))
+
+    if not converted:
+        print(json.dumps({"error": "未找到任何内置 GeoJSON 数据", "success": False}))
+        sys.exit(1)
 
     result = {
         "success": True,
-        "province_shp": province_shp,
+        "output_dir": output_dir,
-        "city_count": len(converted),
+        "converted": converted
-        "cities": converted
     }
     print(json.dumps(result))
 

suites/test-linux/scripts/overlay.py

@@ -1,7 +1,7 @@
 #!/usr/bin/env python3
 """
 Step 2: 叠加分析
-判断各城市是否在省界内（spatial join），输出分析结果
+判断各城市是否在省界内（使用投影坐标系避免 CRS 警告）
 """
 import sys
 import json
@@ -29,9 +29,7 @@ def main():
         print(json.dumps({"error": "省界数据为空", "success": False}))
         sys.exit(1)
 
-    # 确保坐标系一致
+    # 使用投影坐标系（墨卡托）计算中心点
-    source_crs = province.crs or "EPSG:4326"
-    # 使用投影坐标系（墨卡托）计算中心点以避免 geographic CRS 警告
     projected_crs = "EPSG:3857"
     province_proj = province.to_crs(projected_crs)
 
@@ -58,11 +56,11 @@ def main():
 
         city = city.to_crs(projected_crs)
 
-        # 空间判断：城市中心点是否在省界内（使用投影坐标系避免 CRS 警告）
+        # 空间判断：城市中心点是否在省界内
         city_centroid = city.geometry.centroid.iloc[0]
         in_province = province_proj.geometry.contains(city_centroid).any()
 
-        # 也检查 intersect 作为辅助判断
+        # 检查 intersect 作为辅助判断
         intersects = province_proj.geometry.intersects(city.geometry).any()
 
         status = "通过 ✅" if in_province else "不通过 ❌"

suites/test-linux/workflow.yaml

@@ -1,6 +1,6 @@
 name: 云南省界叠加分析（Linux 测试）
-description: 验证 GIS Actions 4.0 Linux 双平台执行链路的测试套件。将示例 GeoJSON 转为 SHP → 叠加分析（判断城市是否在省内）→ 输出 Excel
+description: 验证 GIS Actions 4.0 Linux 双平台执行链路的测试套件。内置云南/昆明/大理/百色 GeoJSON 示例数据，开箱即用。
-version: 1.0.0
+version: 1.0.1
 author: SuiteForge
 platform: linux
 slug: test-yunnan-overlay-linux
@@ -8,14 +8,6 @@ tags: [测试, 叠加分析, Linux, 云南省]
 category: 测试验证
 
 params:
-  province:
-    type: string
-    required: true
-    desc: 省界 GeoJSON 文件路径
-  cities:
-    type: string
-    required: true
-    desc: 待分析城市 GeoJSON 文件路径，多个文件用逗号分隔
   output_path:
     type: string
     required: true
@@ -29,8 +21,6 @@ steps:
     runtime: docker
     script_id: convert
     params:
-      province: $params.province
-      cities: $params.cities
       output_dir: /tmp/output/shp
 
   - id: overlay

suites/test-windows/scripts/arcpy_convert.py

@@ -1,60 +1,58 @@
 #!/usr/bin/env python
 """
 Step 1: GeoJSON → SHP (arcpy)
-将省界和城市 GeoJSON 文件转换为 Shapefile
+从内置 data/ 目录读取 GeoJSON，转为 Shapefile
-使用 arcpy 的 JSON To Feature Class 工具
 """
 import sys
 import json
 import os
 import arcpy
 
-# 允许覆写输出
 arcpy.env.overwriteOutput = True
 
 
-def main():
+def get_data_dir():
-    province_path = os.environ.get("PARAM_PROVINCE", "")
+    """返回内置 data/ 目录路径（相对脚本位置）"""
-    cities_param = os.environ.get("PARAM_CITIES", "")
+    script_dir = os.path.dirname(os.path.abspath(__file__))
-    output_dir = os.environ.get("PARAM_OUTPUT_DIR", r"C:\temp\output\shp")
+    return os.path.normpath(os.path.join(script_dir, "..", "data"))
 
-    if not province_path:
+
-        print json.dumps({"error": "缺少 province 参数", "success": False})
+def main():
-        sys.exit(1)
+    output_dir = os.environ.get("PARAM_OUTPUT_DIR", r"C:\temp\output\shp")
-    if not cities_param:
-        print json.dumps({"error": "缺少 cities 参数", "success": False})
-        sys.exit(1)
 
     if not os.path.isdir(output_dir):
         os.makedirs(output_dir)
 
-    # 转换省界
+    data_dir = get_data_dir()
-    print json.dumps({"msg": "转换省界: " + province_path})
+
-    province_name = os.path.splitext(os.path.basename(province_path))[0]
+    # 数据文件映射
-    province_shp = os.path.join(output_dir, "province.shp")
+    geo_files = {
-    # GeoJSON → Feature Class → Shapefile
+        "province": "yunnan.geojson",
-    arcpy.JSONToFeatures_conversion(province_path, province_shp)
+        "kunming": "kunming.geojson",
-    print json.dumps({"msg": "省界已转为 SHP: " + province_shp})
+        "dali": "dali.geojson",
+        "baise": "baise.geojson",
+    }
 
-    # 转换每个城市
-    city_files = [c.strip() for c in cities_param.split(",") if c.strip()]
     converted = []
-    for cf in city_files:
+    for name, filename in geo_files.items():
-        if not os.path.isfile(cf):
+        filepath = os.path.join(data_dir, filename)
-            print json.dumps({"warn": "文件不存在，跳过: " + cf})
+        if not os.path.isfile(filepath):
+            print json.dumps({"warn": u"内置数据文件不存在，跳过: " + filepath})
             continue
-        print json.dumps({"msg": "转换城市: " + cf})
+        print json.dumps({"msg": u"读取内置数据: " + filename})
-        base = os.path.splitext(os.path.basename(cf))[0]
+        shp_path = os.path.join(output_dir, name + ".shp")
-        shp_path = os.path.join(output_dir, base + ".shp")
+        arcpy.JSONToFeatures_conversion(filepath, shp_path)
-        arcpy.JSONToFeatures_conversion(cf, shp_path)
+        converted.append(name)
-        converted.append(base)
+        print json.dumps({"msg": u"已转换: " + filename + u" → " + shp_path})
-        print json.dumps({"msg": "已转换: " + cf + " -> " + shp_path})
+
+    if not converted:
+        print json.dumps({"error": u"未找到任何内置 GeoJSON 数据", "success": False})
+        sys.exit(1)
 
     result = {
         "success": True,
-        "province_shp": province_shp,
+        "output_dir": output_dir,
-        "city_count": len(converted),
+        "converted": converted
-        "cities": converted
     }
     print json.dumps(result)
 

suites/test-windows/workflow.yaml

@@ -1,6 +1,6 @@
 name: 云南省界叠加分析（Windows 测试）
-description: 验证 GIS Actions 4.0 Windows 执行链路的测试套件。将示例 GeoJSON 转为 SHP → 叠加分析（arcpy）→ 输出 Excel
+description: 验证 GIS Actions 4.0 Windows 执行链路的测试套件。内置云南/昆明/大理/百色 GeoJSON 示例数据，开箱即用。
-version: 1.0.0
+version: 1.0.1
 author: SuiteForge
 platform: windows
 slug: test-yunnan-overlay-windows
@@ -8,14 +8,6 @@ tags: [测试, 叠加分析, Windows, 云南省]
 category: 测试验证
 
 params:
-  province:
-    type: string
-    required: true
-    desc: 省界 GeoJSON 文件路径
-  cities:
-    type: string
-    required: true
-    desc: 待分析城市 GeoJSON 文件路径，多个文件用逗号分隔
   output_path:
     type: string
     required: true
@@ -27,8 +19,6 @@ steps:
     runtime: arcpy
     script_id: arcpy_convert
     params:
-      province: $params.province
-      cities: $params.cities
       output_dir: /tmp/output/shp
 
   - id: overlay