feat: integrate chatbox research with datasets and backtests

backend/app/schemas.py

@@ -64,6 +64,10 @@ class PreferencesInput(Contract):
 
 class AlphaFilters(Contract):
     submission: Submission | None = None
+    source: str | None = Field(default=None, max_length=100)
+    source_reference: str | None = Field(default=None, max_length=200)
+    research_id: str | None = Field(default=None, max_length=200)
+    backtest_run_id: str | None = Field(default=None, max_length=36)
     q: str | None = Field(default=None, max_length=300)
     region: str | None = None
     universe: str | None = None
@@ -220,6 +224,24 @@ class AlphaSummary(BaseModel):
     synced_at: datetime
     research: ResearchOutput
     local_correlation: dict | None = None
+    source_kinds: list[str] = Field(default_factory=list)
+
+
+class AlphaSourceOutput(BaseModel):
+    backtest_run_id: str
+    name: str
+    source: dict
+    item_id: str
+    client_item_id: str
+    observed_at: datetime
+
+
+class AlphaSourcePage(BaseModel):
+    alpha_id: str
+    items: list[AlphaSourceOutput]
+    total: int
+    limit: int
+    offset: int
 
 
 class AlphaDetail(AlphaSummary):
@@ -325,6 +347,7 @@ class FacetsOutput(BaseModel):
     total: int
     favorites: int
     last_sync: datetime | None
+    source: list[str] = Field(default_factory=list)
 
 
 class JobErrorOutput(BaseModel):