feat: add training case import export

src/api/server.py

@@ -13,9 +13,11 @@ from src.api.signals import get_recent_signals
 from src.api.training import (
     add_training_annotation,
     create_training_attempt,
+    export_training_case_package,
     get_training_case,
     get_training_cases,
     get_training_progress,
+    import_training_case_package,
     submit_training_attempt,
 )
 from src.services.execution import ExecutionService
@@ -32,6 +34,8 @@ def build_api_dependencies() -> dict:
         "executions": execution_service.build_execution_dashboard_items,
         "training_cases": get_training_cases,
         "training_case": get_training_case,
+        "training_export_cases": export_training_case_package,
+        "training_import_cases": import_training_case_package,
         "training_create_attempt": create_training_attempt,
         "training_add_annotation": add_training_annotation,
         "training_submit_attempt": submit_training_attempt,
@@ -90,6 +94,19 @@ def route_request(
                 limit=limit,
             )
         }
+    if method == "GET" and path == "/training/cases/export":
+        status = _get_single(query, "status")
+        skill_tag = _get_single(query, "skill_tag")
+        instrument_id = _get_optional_int(query, "instrument_id")
+        limit = _get_limit(query, "limit", 100, max_value=MAX_TRAINING_LIMIT)
+        return 200, deps["training_export_cases"](
+            status=status,
+            skill_tag=skill_tag,
+            instrument_id=instrument_id,
+            limit=limit,
+        )
+    if method == "POST" and path == "/training/cases/import":
+        return 201, deps["training_import_cases"](body or {})
     if method == "GET" and len(path_parts) == 3 and path_parts[:2] == ["training", "cases"]:
         case_id = _parse_path_int(path_parts[2], "case_id")
         case = deps["training_case"](case_id=case_id)

src/api/training.py

@@ -65,6 +65,25 @@ def get_training_progress(
     return _service(service).get_progress(user_id=user_id, skill_tag=skill_tag, limit=limit)
 
 
+def export_training_case_package(
+    status: Optional[str] = None,
+    skill_tag: Optional[str] = None,
+    instrument_id: Optional[int] = None,
+    limit: int = 100,
+    service: Optional[TrainingCaseService] = None,
+) -> dict:
+    return _service(service).export_cases(
+        status=status,
+        skill_tag=skill_tag,
+        instrument_id=instrument_id,
+        limit=limit,
+    )
+
+
+def import_training_case_package(body: dict, service: Optional[TrainingCaseService] = None) -> dict:
+    return _service(service).import_cases(body)
+
+
 def _service(service: Optional[TrainingCaseService]) -> TrainingCaseService:
     return service or TrainingCaseService()