Milestone 3: candidate graph generation

src/repo_registry/core/models.py

@@ -56,6 +56,67 @@ class ScanSummary:
     facts: list[ObservedFact]
 
 
+@dataclass(frozen=True)
+class SourceReference:
+    fact_id: int | None
+    path: str
+    kind: str
+    name: str
+
+
+@dataclass(frozen=True)
+class CandidateEvidence:
+    id: int
+    type: str
+    reference: str
+    strength: str
+    status: str
+    source_refs: list[SourceReference]
+
+
+@dataclass(frozen=True)
+class CandidateFeature:
+    id: int
+    name: str
+    type: str
+    location: str
+    confidence: float
+    status: str
+    source_refs: list[SourceReference]
+
+
+@dataclass(frozen=True)
+class CandidateCapability:
+    id: int
+    name: str
+    description: str
+    inputs: list[str]
+    outputs: list[str]
+    confidence: float
+    status: str
+    source_refs: list[SourceReference]
+    features: list[CandidateFeature] = field(default_factory=list)
+    evidence: list[CandidateEvidence] = field(default_factory=list)
+
+
+@dataclass(frozen=True)
+class CandidateAbility:
+    id: int
+    name: str
+    description: str
+    confidence: float
+    status: str
+    source_refs: list[SourceReference]
+    capabilities: list[CandidateCapability] = field(default_factory=list)
+
+
+@dataclass(frozen=True)
+class CandidateGraph:
+    repository: Repository
+    analysis_run: AnalysisRun
+    abilities: list[CandidateAbility]
+
+
 @dataclass(frozen=True)
 class Evidence:
     id: int