chore(weave): (python-only) Refactor and rename code to more appropriately handle builtin_object_class not base_object_class

dev_docs/BaseObjectClasses.md → dev_docs/BuiltinObjectClasses.md

@@ -1,4 +1,4 @@
-# BaseObjectClasses
+# BuiltinObjectClasses
 
 ## Refresher on Objects and object storage
 
@@ -79,11 +79,11 @@ While many Weave Objects are free-form and user-defined, there is often a need f
 
 Here's how to define and use a validated base object:
 
-1. **Define your schema** (in `weave/trace_server/interface/base_object_classes/your_schema.py`):
+1. **Define your schema** (in `weave/trace_server/interface/builtin_object_classes/your_schema.py`):
 
 ```python
 from pydantic import BaseModel
-from weave.trace_server.interface.base_object_classes import base_object_def
+from weave.trace_server.interface.builtin_object_classes import base_object_def
 
 class NestedConfig(BaseModel):
     setting_a: int
@@ -116,7 +116,7 @@ curl -X POST 'https://trace.wandb.ai/obj/create' \
       "project_id": "user/project",
       "object_id": "my_config",
       "val": {...},
-      "set_base_object_class": "MyConfig"
+      "object_class": "MyConfig"
     }
   }'
 
@@ -154,38 +154,38 @@ Run `make synchronize-base-object-schemas` to ensure the frontend TypeScript typ
 
 ### Architecture Flow
 
-1. Define your schema in a python file in the `weave/trace_server/interface/base_object_classes/test_only_example.py` directory. See `weave/trace_server/interface/base_object_classes/test_only_example.py` as an example.
-2. Make sure to register your schemas in `weave/trace_server/interface/base_object_classes/base_object_registry.py` by calling `register_base_object`.
+1. Define your schema in a python file in the `weave/trace_server/interface/builtin_object_classes/test_only_example.py` directory. See `weave/trace_server/interface/builtin_object_classes/test_only_example.py` as an example.
+2. Make sure to register your schemas in `weave/trace_server/interface/builtin_object_classes/builtin_object_registry.py` by calling `register_base_object`.
 3. Run `make synchronize-base-object-schemas` to generate the frontend types.
-    * The first step (`make generate_base_object_schemas`) will run `weave/scripts/generate_base_object_schemas.py` to generate a JSON schema in `weave/trace_server/interface/base_object_classes/generated/generated_base_object_class_schemas.json`.
-    * The second step (yarn `generate-schemas`) will read this file and use it to generate the frontend types located in `weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/generatedBaseObjectClasses.zod.ts`.
+    * The first step (`make generate_base_object_schemas`) will run `weave/scripts/generate_base_object_schemas.py` to generate a JSON schema in `weave/trace_server/interface/builtin_object_classes/generated/generated_builtin_object_class_schemas.json`.
+    * The second step (yarn `generate-schemas`) will read this file and use it to generate the frontend types located in `weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/generatedBuiltinObjectClasses.zod.ts`.
 4. Now, each use case uses different parts:
     1. `Python Writing`. Users can directly import these classes and use them as normal Pydantic models, which get published with `weave.publish`. The python client correct builds the requisite payload.
     2. `Python Reading`. Users can `weave.ref().get()` and the weave python SDK will return the instance with the correct type. Note: we do some special handling such that the returned object is not a WeaveObject, but literally the exact pydantic class.
-    3. `HTTP Writing`. In cases where the client/user does not want to add the special type information, users can publish base objects by setting the `set_base_object_class` setting on `POST obj/create` to the name of the class. The weave server will validate the object against the schema, update the metadata fields, and store the object.
+    3. `HTTP Writing`. In cases where the client/user does not want to add the special type information, users can publish builtin objects (set of weave.Objects provided by Weave) by setting the `builtin_object_class` setting on `POST obj/create` to the name of the class. The weave server will validate the object against the schema, update the metadata fields, and store the object.
     4. `HTTP Reading`. When querying for objects, the server will return the object with the correct type if the `base_object_class` metadata field is set.
-    5. `Frontend`. The frontend will read the zod schema from `weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/generatedBaseObjectClasses.zod.ts` and use that to provide compile time type safety when using `useBaseObjectInstances` and runtime type safety when using `useCreateBaseObjectInstance`.
+    5. `Frontend`. The frontend will read the zod schema from `weave-js/src/components/PagePanelComponents/Home/Browse3/pages/wfReactInterface/generatedBuiltinObjectClasses.zod.ts` and use that to provide compile time type safety when using `useBaseObjectInstances` and runtime type safety when using `useCreateBaseObjectInstance`.
 * Note: it is critical that all techniques produce the same digest for the same data - which is tested in the tests. This way versions are not thrashed by different clients/users.
 
 ```mermaid
 graph TD
     subgraph Schema Definition
         F["weave/trace_server/interface/<br>base_object_classes/your_schema.py"] --> |defines| P[Pydantic BaseObject]
-        P --> |register_base_object| R["base_object_registry.py"]
+        P --> |register_base_object| R["builtin_object_registry.py"]
     end
 
     subgraph Schema Generation
         M["make synchronize-base-object-schemas"] --> G["make generate_base_object_schemas"]
         G --> |runs| S["weave/scripts/<br>generate_base_object_schemas.py"]
         R --> |import registered classes| S
-        S --> |generates| J["generated_base_object_class_schemas.json"]
-        M --> |yarn generate-schemas| Z["generatedBaseObjectClasses.zod.ts"]
+        S --> |generates| J["generated_builtin_object_class_schemas.json"]
+        M --> |yarn generate-schemas| Z["generatedBuiltinObjectClasses.zod.ts"]
         J --> Z
     end
 
     subgraph "Trace Server"
         subgraph "HTTP API"
-            R --> |validates using| HW["POST obj/create<br>set_base_object_class"]
+            R --> |validates using| HW["POST obj/create<br>object_class"]
             HW --> DB[(Weave Object Store)]
             HR["POST objs/query<br>base_object_classes"] --> |Filters base_object_class| DB
         end
@@ -203,7 +203,7 @@ graph TD
         Z --> |import| UBI["useBaseObjectInstances"]
         Z --> |import| UCI["useCreateBaseObjectInstance"]
         UBI --> |Filters base_object_class| HR
-        UCI --> |set_base_object_class| HW
+        UCI --> |object_class| HW
         UI[React UI] --> UBI
         UI --> UCI
     end

tests/integrations/litellm/test_actions_lifecycle_llm_judge.py

@@ -15,7 +15,7 @@
 )
 from tests.trace.util import client_is_sqlite
 from weave.trace.weave_client import WeaveClient
-from weave.trace_server.interface.base_object_classes.actions import (
+from weave.trace_server.interface.builtin_object_classes.actions import (
     ActionSpec,
 )
 from weave.trace_server.trace_server_interface import (

tests/trace/test_actions_lifecycle.py

@@ -3,7 +3,7 @@
 import weave
 from tests.trace.util import client_is_sqlite
 from weave.trace.weave_client import WeaveClient
-from weave.trace_server.interface.base_object_classes.actions import (
+from weave.trace_server.interface.builtin_object_classes.actions import (
     ActionSpec,
 )
 from weave.trace_server.trace_server_interface import (

tests/trace/test_base_object_classes.py

@@ -22,7 +22,7 @@
 from weave.trace.refs import ObjectRef
 from weave.trace.weave_client import WeaveClient
 from weave.trace_server import trace_server_interface as tsi
-from weave.trace_server.interface.base_object_classes.test_only_example import (
+from weave.trace_server.interface.builtin_object_classes.test_only_example import (
     TestOnlyNestedBaseModel,
 )
 
@@ -139,7 +139,7 @@ def test_interface_creation(client):
                     "project_id": client._project_id(),
                     "object_id": nested_obj_id,
                     "val": nested_obj.model_dump(),
-                    "set_base_object_class": "TestOnlyNestedBaseObject",
+                    "builtin_object_class": "TestOnlyNestedBaseObject",
                 }
             }
         )
@@ -164,7 +164,7 @@ def test_interface_creation(client):
                     "project_id": client._project_id(),
                     "object_id": top_level_obj_id,
                     "val": top_obj.model_dump(),
-                    "set_base_object_class": "TestOnlyExample",
+                    "builtin_object_class": "TestOnlyExample",
                 }
             }
         )
@@ -271,7 +271,7 @@ def test_digest_equality(client):
                     "project_id": client._project_id(),
                     "object_id": nested_obj_id,
                     "val": nested_obj.model_dump(),
-                    "set_base_object_class": "TestOnlyNestedBaseObject",
+                    "builtin_object_class": "TestOnlyNestedBaseObject",
                 }
             }
         )
@@ -300,7 +300,7 @@ def test_digest_equality(client):
                     "project_id": client._project_id(),
                     "object_id": top_level_obj_id,
                     "val": top_obj.model_dump(),
-                    "set_base_object_class": "TestOnlyExample",
+                    "builtin_object_class": "TestOnlyExample",
                 }
             }
         )
@@ -322,7 +322,7 @@ def test_schema_validation(client):
                         "object_id": "nested_obj",
                         # Incorrect schema, should raise!
                         "val": {"a": 2},
-                        "set_base_object_class": "TestOnlyNestedBaseObject",
+                        "builtin_object_class": "TestOnlyNestedBaseObject",
                     }
                 }
             )
@@ -340,7 +340,7 @@ def test_schema_validation(client):
                         "_class_name": "TestOnlyNestedBaseObject",
                         "_bases": ["BaseObject", "BaseModel"],
                     },
-                    "set_base_object_class": "TestOnlyNestedBaseObject",
+                    "builtin_object_class": "TestOnlyNestedBaseObject",
                 }
             }
         )
@@ -359,7 +359,7 @@ def test_schema_validation(client):
                             "_class_name": "TestOnlyNestedBaseObject",
                             "_bases": ["BaseObject", "BaseModel"],
                         },
-                        "set_base_object_class": "TestOnlyExample",
+                        "builtin_object_class": "TestOnlyExample",
                     }
                 }
             )

weave/flow/annotation_spec.py

@@ -1,4 +1,4 @@
-from weave.trace_server.interface.base_object_classes import annotation_spec
+from weave.trace_server.interface.builtin_object_classes import annotation_spec
 
 # Re-export:
 AnnotationSpec = annotation_spec.AnnotationSpec

weave/flow/leaderboard.py

@@ -4,7 +4,7 @@
 
 from weave.trace.refs import OpRef
 from weave.trace.weave_client import WeaveClient, get_ref
-from weave.trace_server.interface.base_object_classes import leaderboard
+from weave.trace_server.interface.builtin_object_classes import leaderboard
 from weave.trace_server.trace_server_interface import CallsFilter
 
 

weave/scripts/generate_base_object_schemas.py

@@ -3,30 +3,30 @@
 
 from pydantic import create_model
 
-from weave.trace_server.interface.base_object_classes.base_object_registry import (
-    BASE_OBJECT_REGISTRY,
+from weave.trace_server.interface.builtin_object_classes.builtin_object_registry import (
+    BUILTIN_OBJECT_REGISTRY,
 )
 
 OUTPUT_DIR = (
     Path(__file__).parent.parent
     / "trace_server"
     / "interface"
-    / "base_object_classes"
+    / "builtin_object_classes"
     / "generated"
 )
-OUTPUT_PATH = OUTPUT_DIR / "generated_base_object_class_schemas.json"
+OUTPUT_PATH = OUTPUT_DIR / "generated_builtin_object_class_schemas.json"
 
 
 def generate_schemas() -> None:
     """
-    Generate JSON schemas for all registered base objects in BASE_OBJECT_REGISTRY.
+    Generate JSON schemas for all registered base objects in BUILTIN_OBJECT_REGISTRY.
     Creates a top-level schema that includes all registered objects and writes it
-    to 'generated_base_object_class_schemas.json'.
+    to 'generated_builtin_object_class_schemas.json'.
     """
     # Dynamically create a parent model with all registered objects as properties
     CompositeModel = create_model(
         "CompositeBaseObject",
-        **{name: (cls, ...) for name, cls in BASE_OBJECT_REGISTRY.items()},
+        **{name: (cls, ...) for name, cls in BUILTIN_OBJECT_REGISTRY.items()},
     )
 
     # Generate the schema using the composite model
@@ -39,7 +39,7 @@ def generate_schemas() -> None:
     with OUTPUT_PATH.open("w") as f:
         json.dump(top_level_schema, f, indent=2)
 
-    print(f"Generated schema for {len(BASE_OBJECT_REGISTRY)} objects")
+    print(f"Generated schema for {len(BUILTIN_OBJECT_REGISTRY)} objects")
     print(f"Wrote schema to {OUTPUT_PATH.absolute()}")
 
 

weave/trace/api.py

@@ -26,7 +26,7 @@
     should_disable_weave,
 )
 from weave.trace.table import Table
-from weave.trace_server.interface.base_object_classes import leaderboard
+from weave.trace_server.interface.builtin_object_classes import leaderboard
 
 
 def init(

weave/trace/base_objects.py

@@ -1 +1 @@
-from weave.trace_server.interface.base_object_classes.base_object_registry import *
+from weave.trace_server.interface.builtin_object_classes.builtin_object_registry import *

weave/trace/serialize.py

@@ -9,8 +9,8 @@
 from weave.trace.object_record import ObjectRecord
 from weave.trace.refs import ObjectRef, TableRef, parse_uri
 from weave.trace.sanitize import REDACT_KEYS, REDACTED_VALUE
-from weave.trace_server.interface.base_object_classes.base_object_registry import (
-    BASE_OBJECT_REGISTRY,
+from weave.trace_server.interface.builtin_object_classes.builtin_object_registry import (
+    BUILTIN_OBJECT_REGISTRY,
 )
 from weave.trace_server.trace_server_interface import (
     FileContentReadReq,
@@ -262,9 +262,9 @@ def from_json(obj: Any, project_id: str, server: TraceServerInterface) -> Any:
         elif (
             isinstance(val_type, str)
             and obj.get("_class_name") == val_type
-            and (baseObject := BASE_OBJECT_REGISTRY.get(val_type))
+            and (builtin_object_class := BUILTIN_OBJECT_REGISTRY.get(val_type))
         ):
-            return baseObject.model_validate(obj)
+            return builtin_object_class.model_validate(obj)
         else:
             return ObjectRecord(
                 {k: from_json(v, project_id, server) for k, v in obj.items()}

weave/trace_server/actions_worker/actions/contains_words.py

@@ -1,7 +1,7 @@
 import json
 from typing import Any
 
-from weave.trace_server.interface.base_object_classes.actions import (
+from weave.trace_server.interface.builtin_object_classes.actions import (
     ContainsWordsActionConfig,
 )
 from weave.trace_server.trace_server_interface import (

weave/trace_server/actions_worker/actions/llm_judge.py

@@ -1,7 +1,7 @@
 import json
 from typing import Any
 
-from weave.trace_server.interface.base_object_classes.actions import (
+from weave.trace_server.interface.builtin_object_classes.actions import (
     LlmJudgeActionConfig,
 )
 from weave.trace_server.trace_server_interface import (

weave/trace_server/actions_worker/dispatcher.py

@@ -6,7 +6,7 @@
     do_contains_words_action,
 )
 from weave.trace_server.actions_worker.actions.llm_judge import do_llm_judge_action
-from weave.trace_server.interface.base_object_classes.actions import (
+from weave.trace_server.interface.builtin_object_classes.actions import (
     ActionConfigType,
     ActionSpec,
     ContainsWordsActionConfig,