átlagos kiegészítséek jó sok

2026-03-22 11:02:05 +00:00
parent f53e0b53df
commit 5d44339f21
249 changed files with 20922 additions and 2253 deletions
--- a/backend/app/scripts/sync_python_models_generator.py
+++ b/backend/app/scripts/sync_python_models_generator.py
@@ -0,0 +1,67 @@
+# /opt/docker/dev/service_finder/backend/app/scripts/sync_python_models_generator.py
+# 
+import asyncio
+from sqlalchemy import inspect
+from sqlalchemy.ext.asyncio import create_async_engine
+from app.core.config import settings
+import sqlalchemy.types as types
+# PostgreSQL specifikus típusok importálása
+from sqlalchemy.dialects.postgresql import JSONB, UUID, ENUM
+
+# Típus leképezés javítva
+TYPE_MAP = {
+    types.INTEGER: "Integer",
+    types.VARCHAR: "String",
+    types.TEXT: "String",
+    types.BOOLEAN: "Boolean",
+    types.DATETIME: "DateTime",
+    types.TIMESTAMP: "DateTime",
+    types.NUMERIC: "Numeric",
+    types.JSON: "JSON",
+    JSONB: "JSONB",
+    UUID: "UUID"
+}
+
+async def generate_perfect_models():
+    engine = create_async_engine(str(settings.SQLALCHEMY_DATABASE_URI))
+    
+    def analyze(connection):
+        inspector = inspect(connection)
+        # Csak azokat a sémákat nézzük, ahol extra adatot találtunk
+        schemas = ['gamification', 'identity', 'marketplace', 'system', 'vehicle']
+        
+        print("\n" + "="*80)
+        print(f"{'🛠️  PONTOS PYTHON MODELL KÓDOK A HIÁNYZÓ ELEMEKHEZ':^80}")
+        print("="*80)
+
+        for schema in schemas:
+            tables = inspector.get_table_names(schema=schema)
+            for table_name in tables:
+                # Osztálynév generálás (pl. user_contributions -> UserContribution)
+                class_name = "".join(x.capitalize() for x in table_name.split("_"))
+                if class_name.endswith("s"): class_name = class_name[:-1]
+
+                print(f"\n# --- [{schema}.{table_name}] ---")
+                
+                for col in inspector.get_columns(table_name, schema=schema):
+                    # Típus meghatározása intelligensebben
+                    col_raw_type = col['type']
+                    col_type = "String"
+                    for k, v in TYPE_MAP.items():
+                        if isinstance(col_raw_type, k):
+                            col_type = v
+                            break
+                    
+                    params = []
+                    if col.get('primary_key'): params.append("primary_key=True")
+                    if not col.get('nullable'): params.append("nullable=False")
+                    
+                    param_str = ", ".join(params)
+                    print(f"{col['name']} = Column({col_type}{', ' + param_str if param_str else ''})")
+
+    async with engine.begin() as conn:
+        await conn.run_sync(analyze)
+    await engine.dispose()
+
+if __name__ == "__main__":
+    asyncio.run(generate_perfect_models())