feat: implement scoped dataset catalog and template input drafts

backend/tests/catalog_fake.py

@@ -0,0 +1,55 @@
+"""Synthetic HTTP catalog, including page overlap and unknown metrics."""
+
+import httpx
+
+
+def field_records(dataset="TEST_FIN", count=123):
+    return [
+        dict(
+            id=f"{dataset}_{i:03}",
+            name=f"TEST 字段 {i:03}",
+            dataset={"id": dataset},
+            type="FUTURE_TYPE" if i == 122 else "VECTOR" if i % 3 == 0 else "MATRIX",
+            coverage=None if i == 122 else 0.95 if i % 2 else 0.6,
+            userCount=None if i == 122 else i,
+            alphaCount=i * 2,
+            description=None if i == 122 else f"合成字段说明 {i}",
+        )
+        for i in range(count)
+    ]
+
+
+def catalog_response(request, fields=None):
+    path, params = request.url.path, request.url.params
+    if path not in ("/data-sets", "/data-fields"):
+        return None
+    assert request.method == "GET"
+    assert params["instrumentType"] == "EQUITY"
+    assert params["region"] and params["universe"] and params["delay"] in ("0", "1")
+    dataset = params.get("dataset.id", "TEST_FIN")
+    rows = (
+        [
+            {
+                "id": "TEST_FIN",
+                "name": "TEST 财务报表",
+                "category": {"name": "基本面"},
+                "subcategory": {"name": "财务报表"},
+                "fieldCount": 123,
+                "description": "合成数据，仅用于验收",
+            },
+            {
+                "id": "TEST_NEWS",
+                "name": "TEST 新闻",
+                "category": {"name": "新闻"},
+                "subcategory": {"name": "情绪"},
+                "fieldCount": 3,
+            },
+            {"id": "TEST_UNKNOWN", "name": "TEST 未分类", "fieldCount": 0},
+        ]
+        if path == "/data-sets"
+        else (fields if fields is not None else field_records(dataset, 123 if dataset == "TEST_FIN" else 3))
+    )
+    if path == "/data-fields" and len(rows) > 50:
+        rows = rows[:50] + [rows[49]] + rows[50:]
+    offset, limit = int(params.get("offset", 0)), int(params.get("limit", 50))
+    return httpx.Response(200, json={"results": rows[offset : offset + limit]})