warnings (#65)

* warnings

* warnings

* warnings

cdr_schemas/cdr_responses/prospectivity.py

@@ -1,7 +1,7 @@
 from datetime import datetime
 from typing import List, Union
 
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, ConfigDict, Field
 
 from cdr_schemas.prospectivity_input import (
  CreateCriticalMineralAssessment,
@@ -41,3 +41,5 @@ class ProspectModelMetaData(BaseModel):
  model_type: str
  train_config: Union[SOMTrainConfig, NeuralNetUserOptions]
  evidence_layers: List[CreateProcessDataLayer]
+
+ model_config = ConfigDict(protected_namespaces=())

cdr_schemas/prospectivity_input.py

@@ -3,7 +3,7 @@
 from typing import List, Optional, Union
 
 from geojson_pydantic import MultiPolygon
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, ConfigDict, Field
 
 from cdr_schemas.prospectivity_models import (
  NeuralNetUserOptions,
@@ -82,6 +82,8 @@ class ProspectivityOutputLayer(BaseModel):
  cma_id: str = Field(description="id of the cma")
  title: str = Field(description="Title for prospectivity layer")
 
+ model_config = ConfigDict(protected_namespaces=())
+
 
 # MTRI to CDR:
 # send to cdr to create new cma. Will be associated with template raster uploaded
@@ -123,6 +125,7 @@ class SaveProcessedDataLayer(BaseModel):
  transform_methods: TranformMethods = Field(
  default="", description="Transformation method used"
  )
+ model_config = ConfigDict(protected_namespaces=())
 
 
 # MTRI UI to CDR:
@@ -139,6 +142,7 @@ class CreateProspectModelMetaData(BaseModel):
  evidence_layers: List[DefineProcessDataLayer] = Field(
  description="Datasource and preprocess steps"
  )
+ model_config = ConfigDict(protected_namespaces=())
 
 
 class DataSource(BaseModel):

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "cdr_schemas"
-version = "0.4.5"
+version = "0.4.8"
 description = "CDR Schemas"
 authors = []
 readme = "README.md"