feat: integrate chatbox research with datasets and backtests

backend/app/main.py

@@ -28,6 +28,7 @@ from .schemas import (
     AlphaDetail,
     AlphaFilters,
     AlphaPage,
+    AlphaSourcePage,
     BulkOutput,
     BulkUpdate,
     CredentialsInput,
@@ -342,6 +343,11 @@ def create_app(settings=None, wq_client=None, ai_model_factory=None):
         async with sessions.begin() as db:
             return await Business(db).update_research(alpha_id, body)
 
+    @api.get("/alphas/{alpha_id}/sources", response_model=AlphaSourcePage, tags=["alphas"])
+    async def sources(alpha_id: str, limit: int = Query(25, ge=1, le=100), offset: int = Query(0, ge=0)):
+        async with sessions() as db:
+            return await Business(db).get_alpha_sources(alpha_id, limit, offset)
+
     @api.get("/alphas/{alpha_id}/pnl", response_model=PnlOutput, tags=["alphas"])
     async def pnl(alpha_id: str):
         async with sessions() as db: