first commit

backend/agent4/config.py

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+from __future__ import annotations
+
+import json
+from pathlib import Path
+from typing import Any
+
+from pydantic import Field
+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+
+AGENT4_ROOT = Path(__file__).resolve().parents[2]
+WORKSPACE_ROOT = AGENT4_ROOT.parent
+
+
+class Settings(BaseSettings):
+    app_name: str = "Agent4 SW/ANSYS Learning Platform"
+    host: str = "127.0.0.1"
+    port: int = 7200
+
+    knowledge_framework_path: Path = AGENT4_ROOT / "data" / "knowledge" / "reducer_three_layer_framework.json"
+    legacy_knowledge_framework_path: Path = WORKSPACE_ROOT / "mechanical_knowledge_base_final" / "data" / "framework" / "reducer_three_layer_framework.json"
+    standard_skillflow_dirs: list[Path] = Field(
+        default_factory=lambda: [
+            AGENT4_ROOT / "data" / "standards",
+            WORKSPACE_ROOT / "runtime_tmp",
+        ]
+    )
+
+    part_feature_audit_project: Path = AGENT4_ROOT / "tools" / "modeling-process" / "PartFeatureAudit" / "PartFeatureAudit.csproj"
+    assembly_knowledge_audit_project: Path = AGENT4_ROOT / "tools" / "modeling-process" / "AssemblyKnowledgeAudit" / "AssemblyKnowledgeAudit.csproj"
+    runtime_dir: Path = AGENT4_ROOT / "runtime"
+
+    project_paths_file: Path = AGENT4_ROOT / "project_paths.json"
+
+    model_config = SettingsConfigDict(
+        env_file=str(AGENT4_ROOT / ".env"),
+        env_prefix="AGENT4_",
+        extra="ignore",
+    )
+
+    def software_paths(self) -> dict[str, Any]:
+        if not self.project_paths_file.exists():
+            return {}
+        try:
+            return json.loads(self.project_paths_file.read_text(encoding="utf-8-sig"))
+        except Exception:
+            return {}
+
+
+settings = Settings()