Worfklow - Fix and updates following review

libs/labelbox/src/labelbox/schema/workflow/__init__.py

@@ -39,12 +39,18 @@
 from labelbox.schema.workflow.graph import ProjectWorkflowGraph
 
 # Import from monolithic workflow.py file
-from labelbox.schema.workflow.workflow import ProjectWorkflow, NodeType
+from labelbox.schema.workflow.workflow import (
+    ProjectWorkflow,
+    NodeType,
+    InitialNodes,
+)
+
+# Import configuration classes
+from labelbox.schema.workflow.config import LabelingConfig, ReworkConfig
 
 # Import from monolithic project_filter.py file
 from labelbox.schema.workflow.project_filter import (
     ProjectWorkflowFilter,
-    created_by,
     labeled_by,
     annotation,
     dataset,
@@ -94,13 +100,17 @@
     "NodeType",
     "ProjectWorkflowGraph",
     "ProjectWorkflowFilter",
-    # Filter construction functions
-    "created_by",
+    # Workflow configuration
+    "InitialNodes",
+    "LabelingConfig",
+    "ReworkConfig",
+    # Filter field objects
     "labeled_by",
     "annotation",
-    "sample",
     "dataset",
     "issue_category",
+    # Filter construction functions
+    "sample",
     "model_prediction",
     "natural_language",
     "labeled_at",

libs/labelbox/src/labelbox/schema/workflow/config.py

@@ -0,0 +1,44 @@
+"""Configuration models for workflow initial nodes."""
+
+from typing import Optional, Union, List
+from pydantic import BaseModel, Field
+
+
+class LabelingConfig(BaseModel):
+    """Configuration for InitialLabeling node creation.
+
+    Attributes:
+        instructions: Task instructions for labelers
+        max_contributions_per_user: Maximum contributions per user (null means infinite)
+    """
+
+    instructions: Optional[str] = Field(
+        default=None, description="Task instructions for labelers"
+    )
+    max_contributions_per_user: Optional[int] = Field(
+        default=None,
+        description="Maximum contributions per user (null means infinite)",
+        ge=0,
+    )
+
+
+class ReworkConfig(BaseModel):
+    """Configuration for InitialRework node creation.
+
+    Attributes:
+        instructions: Task instructions for rework
+        individual_assignment: User IDs for individual assignment
+        max_contributions_per_user: Maximum contributions per user (null means infinite)
+    """
+
+    instructions: Optional[str] = Field(
+        default=None, description="Task instructions for rework"
+    )
+    individual_assignment: Optional[Union[str, List[str]]] = Field(
+        default=None, description="User IDs for individual assignment"
+    )
+    max_contributions_per_user: Optional[int] = Field(
+        default=None,
+        description="Maximum contributions per user (null means infinite)",
+        ge=0,
+    )

libs/labelbox/src/labelbox/schema/workflow/enums.py

@@ -106,7 +106,7 @@ class FilterField(str, Enum):
     """
 
     # User and creation filters
-    CreatedBy = "CreatedBy"
+    LabeledBy = "CreatedBy"  # Maps to backend CreatedBy field
 
     # Annotation and content filters
     Annotation = "Annotation"

libs/labelbox/src/labelbox/schema/workflow/nodes/autoqa_node.py

@@ -79,7 +79,7 @@ class AutoQANode(BaseWorkflowNode):
         The evaluation results determine automatic routing without human intervention.
     """
 
-    label: str = Field(default="Label Score (AutoQA)")
+    label: str = Field(default="Label Score (AutoQA)", max_length=50)
     filters: List[Dict[str, Any]] = Field(
         default_factory=lambda: [],
         description="Contains the filters for the AutoQA node",

libs/labelbox/src/labelbox/schema/workflow/nodes/custom_rework_node.py

@@ -81,7 +81,7 @@ class CustomReworkNode(BaseWorkflowNode):
         rework processes and quality checks.
     """
 
-    label: str = Field(default="")
+    label: str = Field(default="", max_length=50)
     node_config: List[ConfigEntry] = Field(
         default_factory=lambda: [],
         description="Contains assignment rules etc.",
@@ -117,6 +117,7 @@ class CustomReworkNode(BaseWorkflowNode):
         default=None,
         description="Maximum contributions per user (null means infinite)",
         alias="maxContributionsPerUser",
+        ge=0,
     )
     # Has one input and one output
     output_else: None = Field(default=None, frozen=True)  # Only one output (if)

libs/labelbox/src/labelbox/schema/workflow/nodes/done_node.py

@@ -57,7 +57,7 @@ class DoneNode(BaseWorkflowNode):
         and will not flow to any other nodes in the workflow.
     """
 
-    label: str = Field(default="Done")
+    label: str = Field(default="Done", max_length=50)
     definition_id: WorkflowDefinitionId = Field(
         default=WorkflowDefinitionId.Done, frozen=True, alias="definitionId"
     )

libs/labelbox/src/labelbox/schema/workflow/nodes/initial_labeling_node.py

@@ -59,7 +59,9 @@ class InitialLabelingNode(BaseWorkflowNode):
         and cannot have incoming connections from other nodes.
     """
 
-    label: str = Field(default="Initial labeling task", frozen=True)
+    label: str = Field(
+        default="Initial labeling task", frozen=True, max_length=50
+    )
     filter_logic: Literal["and", "or"] = Field(
         default=DEFAULT_FILTER_LOGIC_AND, alias="filterLogic"
     )
@@ -84,6 +86,7 @@ class InitialLabelingNode(BaseWorkflowNode):
         default=None,
         description="Maximum contributions per user (null means infinite)",
         alias="maxContributionsPerUser",
+        ge=0,
     )
     node_config: List[ConfigEntry] = Field(
         default_factory=lambda: [],

libs/labelbox/src/labelbox/schema/workflow/nodes/initial_rework_node.py

@@ -66,7 +66,9 @@ class InitialReworkNode(BaseWorkflowNode):
         to ensure proper routing in the Labelbox platform.
     """
 
-    label: str = Field(default="Rework (all rejected)", frozen=True)
+    label: str = Field(
+        default="Rework (all rejected)", frozen=True, max_length=50
+    )
     filter_logic: Literal["and", "or"] = Field(
         default=DEFAULT_FILTER_LOGIC_AND, alias="filterLogic"
     )
@@ -100,6 +102,7 @@ class InitialReworkNode(BaseWorkflowNode):
         default=None,
         description="Maximum contributions per user (null means infinite)",
         alias="maxContributionsPerUser",
+        ge=0,
     )
 
     @field_validator("individual_assignment", mode="before")

libs/labelbox/src/labelbox/schema/workflow/nodes/logic_node.py

@@ -30,7 +30,9 @@ class LogicNode(BaseWorkflowNode):
     """Logic node. One or more instances possible. One input, two outputs (if/else)."""
 
     label: str = Field(
-        default="Logic", description="Display name for the logic node"
+        default="Logic",
+        description="Display name for the logic node",
+        max_length=50,
     )
     filters: List[Dict[str, Any]] = Field(
         default_factory=lambda: [],
@@ -199,7 +201,7 @@ def remove_filter(self, filter_field: FilterField) -> "LogicNode":
 
         Args:
             filter_field: FilterField enum value specifying which filter type to remove
-                         (e.g., FilterField.CreatedBy, FilterField.Sample, FilterField.LabelingTime)
+                         (e.g., FilterField.LabeledBy, FilterField.Sample, FilterField.LabelingTime)
 
         Returns:
             LogicNode: Self for method chaining
@@ -209,7 +211,7 @@ def remove_filter(self, filter_field: FilterField) -> "LogicNode":
             >>>
             >>> # Type-safe enum approach (required)
             >>> logic.remove_filter(FilterField.Sample)
-            >>> logic.remove_filter(FilterField.CreatedBy)
+            >>> logic.remove_filter(FilterField.LabeledBy)  # Consistent with labeled_by() function
             >>> logic.remove_filter(FilterField.LabelingTime)
             >>> logic.remove_filter(FilterField.Metadata)
         """
@@ -371,7 +373,7 @@ def get_filters(self) -> "ProjectWorkflowFilter":
             >>> logic = workflow.get_node_by_id("some-logic-node-id")
             >>> user_filters = logic.get_filters()
             >>> # Add a new filter
-            >>> user_filters.append(created_by(["new-user-id"]))
+            >>> user_filters.append(labeled_by(["new-user-id"]))
             >>> # Apply the updated filters back to the node
             >>> logic.set_filters(user_filters)
         """
@@ -393,25 +395,25 @@ def add_filter(self, filter_rule: Dict[str, Any]) -> "LogicNode":
 
         Args:
             filter_rule: Filter rule from filter functions
-                        (e.g., created_by(["user_id"]), labeling_time.greater_than(300))
+                        (e.g., labeled_by(["user_id"]), labeling_time.greater_than(300))
 
         Returns:
             LogicNode: Self for method chaining
 
         Example:
-            >>> from labelbox.schema.workflow.project_filter import created_by, labeling_time, metadata, condition
+            >>> from labelbox.schema.workflow.project_filter import labeled_by, labeling_time, metadata, condition
             >>>
-            >>> logic.add_filter(created_by(["user-123"]))
+            >>> logic.add_filter(labeled_by(["user-123"]))
             >>> logic.add_filter(labeling_time.greater_than(300))
             >>> logic.add_filter(metadata([condition.contains("tag", "test")]))
-            >>> # Adding another created_by filter will replace the previous one
-            >>> logic.add_filter(created_by(["user-456"]))  # Replaces previous created_by filter
+            >>> # Adding another labeled_by filter will replace the previous one
+            >>> logic.add_filter(labeled_by(["user-456"]))  # Replaces previous labeled_by filter
         """
         # Validate that this looks like filter function output
         if not self._is_filter_function_output(filter_rule):
             raise ValueError(
                 "add_filter() only accepts output from filter functions. "
-                "Use functions like created_by(), labeling_time.greater_than(), etc."
+                "Use functions like labeled_by(), labeling_time.greater_than(), etc."
             )
 
         # Get the field name from the filter rule to check for existing filters
@@ -455,7 +457,7 @@ def _is_filter_function_output(self, filter_rule: Dict[str, Any]) -> bool:
 
         # Map backend field names to FilterField enum values
         backend_to_field = {
-            "CreatedBy": FilterField.CreatedBy,
+            "CreatedBy": FilterField.LabeledBy,  # Backend CreatedBy maps to user-facing LabeledBy
             "Annotation": FilterField.Annotation,
             "LabeledAt": FilterField.LabeledAt,
             "Sample": FilterField.Sample,

libs/labelbox/src/labelbox/schema/workflow/nodes/review_node.py

@@ -69,7 +69,7 @@ class ReviewNode(BaseWorkflowNode):
         which default to "and" logic. This allows more flexible routing.
     """
 
-    label: str = Field(default="Review task")
+    label: str = Field(default="Review task", max_length=50)
     # For ReviewNode, filter_logic defaults to "or"
     filter_logic: Literal["and", "or"] = Field(
         default=DEFAULT_FILTER_LOGIC_OR, alias="filterLogic"
@@ -96,6 +96,7 @@ class ReviewNode(BaseWorkflowNode):
         default=None,
         description="Maximum contributions per user (null means infinite)",
         alias="maxContributionsPerUser",
+        ge=0,
     )
     node_config: List[Dict[str, Any]] = Field(
         default_factory=lambda: [],

libs/labelbox/src/labelbox/schema/workflow/nodes/rework_node.py

@@ -61,7 +61,7 @@ class ReworkNode(BaseWorkflowNode):
         workflow's initial rework entry point without manual routing.
     """
 
-    label: str = Field(default="Rework")
+    label: str = Field(default="Rework", max_length=50)
     filter_logic: Literal["and", "or"] = Field(
         default=DEFAULT_FILTER_LOGIC_AND, alias="filterLogic"
     )

libs/labelbox/src/labelbox/schema/workflow/nodes/unknown_workflow_node.py

@@ -71,7 +71,7 @@ class UnknownWorkflowNode(BaseWorkflowNode):
         as a safety mechanism to prevent data loss during parsing.
     """
 
-    label: str = Field(default="")
+    label: str = Field(default="", max_length=50)
     node_config: Optional[List[Dict[str, Any]]] = Field(
         default=None, alias="config"
     )