chore: 工作台产品化进行中的改动

把工作区里其余在制品一并入库，主要是工作台产品化的推进：

  后端：新增 capability_definition / project / my_app_center / office_skill
        接口与 action_definition / skill_definition / project / user_app_center
        模型，config 加路由健康上报。
  前端：新增 frontend/src/skills（Office 技能与 workbuddy 复刻）、
        项目管理、应用中心、能力目录页，以及配套 api / store / config；
        聊天侧新增 SpecialistChip / SpecialistPanel / SkillStrip / AppChatRail
        等组件。
  清理：移除旧 views/tools 下的单页工具（已并入工作台）、_frozen 冻结组件、
        cmd/inspect_oa_debug 调试入口，以及两份调试笔记。
  其它：文档与启动脚本同步。

（这批改动与上一提交的 SY23 工作并行进行，此前已在同一工作区内交织。）

Co-Authored-By: Claude Code <noreply@anthropic.com>

eai_agentplatform/backend-go/scripts/paddle_ocr_extract.py

@@ -0,0 +1,136 @@
+#!/usr/bin/env python3
+import json
+import os
+import subprocess
+import sys
+
+os.environ.setdefault("ORT_DISABLE_GPU", "1")
+
+try:
+    from paddleocr import PaddleOCR
+except Exception:
+    PaddleOCR = None
+
+try:
+    from rapidocr_onnxruntime import RapidOCR
+except Exception:
+    RapidOCR = None
+
+
+def flatten_result(raw_result):
+    lines = []
+    text_parts = []
+    for page in raw_result or []:
+        if not page:
+            continue
+        for item in page:
+            if not item or len(item) < 2:
+                continue
+            points = item[0]
+            text_info = item[1] or []
+            text = str(text_info[0] or "").strip() if len(text_info) > 0 else ""
+            score = float(text_info[1] or 0) if len(text_info) > 1 else 0
+            if not text:
+                continue
+            lines.append({
+                "text": text,
+                "score": score,
+                "points": points,
+            })
+            text_parts.append(text)
+    return {
+        "text": "\n".join(text_parts).strip(),
+        "lines": lines,
+    }
+
+
+def run_paddle_ocr(image_path):
+    if PaddleOCR is None:
+        return None
+    ocr = PaddleOCR(
+        use_angle_cls=True,
+        lang="ch",
+        show_log=False,
+        use_gpu=False,
+        enable_mkldnn=False,
+        cpu_threads=1,
+    )
+    result = ocr.ocr(image_path, cls=True)
+    payload = flatten_result(result)
+    payload["engine"] = "paddleocr"
+    return payload
+
+
+def run_rapid_ocr(image_path):
+    if RapidOCR is None:
+        return None
+    engine = RapidOCR()
+    result, _ = engine(image_path)
+    payload = {"text": "", "lines": []}
+    for item in result or []:
+        if not item or len(item) < 3:
+            continue
+        points, text, score = item[0], str(item[1] or "").strip(), float(item[2] or 0)
+        if not text:
+            continue
+        payload["lines"].append({
+            "text": text,
+            "score": score,
+            "points": points,
+        })
+        payload["text"] += f"{text}\n"
+    payload["text"] = payload["text"].strip()
+    payload["engine"] = "rapidocr"
+    return payload
+
+
+def try_paddle_ocr_subprocess(image_path):
+    cmd = [sys.executable, __file__, "--engine", "paddle-only", image_path]
+    try:
+        result = subprocess.run(
+            cmd,
+            capture_output=True,
+            text=True,
+            check=False,
+            env=os.environ.copy(),
+        )
+    except Exception:
+        return None
+    if result.returncode != 0:
+        return None
+    try:
+        payload = json.loads((result.stdout or "").strip())
+    except Exception:
+        return None
+    if not isinstance(payload, dict) or payload.get("error"):
+        return None
+    payload["engine"] = "paddleocr"
+    return payload
+
+
+def main():
+    args = sys.argv[1:]
+    engine_mode = "auto"
+    if len(args) >= 2 and args[0] == "--engine":
+        engine_mode = args[1].strip().lower() or "auto"
+        args = args[2:]
+
+    if len(args) < 1:
+        print(json.dumps({"error": "missing_image_path"}, ensure_ascii=False))
+        sys.exit(1)
+
+    image_path = args[0]
+    if engine_mode == "paddle-only":
+        payload = run_paddle_ocr(image_path)
+    elif engine_mode == "rapid-only":
+        payload = run_rapid_ocr(image_path)
+    else:
+        payload = try_paddle_ocr_subprocess(image_path) or run_rapid_ocr(image_path)
+    if payload is None:
+        print(json.dumps({"error": "ocr_engine_not_installed"}, ensure_ascii=False))
+        sys.exit(1)
+    print(json.dumps(payload, ensure_ascii=False))
+
+
+if __name__ == "__main__":
+    main()