phase 3

core/schema/models/pipeline_config.py

@@ -0,0 +1,46 @@
+"""
+Pipeline composition config — source of truth for graph topology.
+
+Defines what stages run, in what order, with what branching.
+Belongs to a profile. Persisted as JSONB.
+
+The execution strategy (serial, parallel, distributed) is separate —
+the runner reads this config and flattens it into a sequence for now.
+"""
+
+from dataclasses import dataclass, field
+from typing import Any, Dict, List, Optional
+
+
+@dataclass
+class StageRef:
+    """Reference to a stage in the pipeline graph."""
+    name: str                          # stage name (matches StageDefinition.name)
+    branch: str = "trunk"              # which branch this belongs to
+    execution_target: str = "local"    # local | gpu | lambda | gcp
+
+
+@dataclass
+class Edge:
+    """Connection between stages in the graph."""
+    source: str        # stage name
+    target: str        # stage name
+    condition: str = ""  # empty = unconditional, otherwise a routing rule key
+
+
+@dataclass
+class PipelineConfig:
+    """
+    Pipeline graph topology + routing rules.
+
+    Holder model — stages/edges define the graph shape,
+    routing_rules is a JSONB blob for decision tree logic.
+    """
+    name: str
+    profile_name: str
+    stages: List[StageRef] = field(default_factory=list)
+    edges: List[Edge] = field(default_factory=list)
+    routing_rules: Dict[str, Any] = field(default_factory=dict)
+
+
+PIPELINE_CONFIG_VIEWS = [StageRef, Edge, PipelineConfig]