disallowed extra fields in models, and updated ingest and export code to handle these

bia-export/bia_export/website_models.py

@@ -1,11 +1,11 @@
 from __future__ import annotations
 from pydantic import Field
 from typing import List, Optional
-from bia_shared_datamodels import bia_data_model, semantic_models
+from bia_shared_datamodels import bia_data_model
 
 
-class Study(semantic_models.Study, bia_data_model.DocumentMixin):
+class Study(bia_data_model.Study):
     experimental_imaging_component: Optional[List[ExperimentalImagingDataset]] = Field(default_factory=list, description="""A dataset of that is associated with the study.""")
 
-class ExperimentalImagingDataset(semantic_models.ExperimentalImagingDataset, bia_data_model.DocumentMixin):
+class ExperimentalImagingDataset(bia_data_model.ExperimentalImagingDataset):
     pass

bia-export/test/input_data/experimental_imaging_datasets/S-BIADTEST/47a4ab60-c76d-4424-bfaa-c2a024de720c.json

@@ -1,26 +1,14 @@
 {
     "title_id": "Study Component 1",
     "uuid": "47a4ab60-c76d-4424-bfaa-c2a024de720c",
-    "file_reference_count": 4,
     "description": "Description of study component 1",
-    "acquisition_process": [
-        "c2e44a1b-a43c-476e-8ddf-8587f4c955b3"
-    ],
-    "specimen_imaging_preparation_protocol": [
-        "7199d730-29f1-4ad8-b599-e9089cbb2d7b"
-    ],
-    "biological_entity": [
-        "64a67727-4e7c-469a-91c4-6219ae072e99",
-        "6950718c-4917-47a1-a807-11b874e80a23"
-    ],
-    "specimen_growth_protocol": [],
     "analysis_method": [
         {
             "protocol_description": "Test image analysis",
             "features_analysed": "Test image analysis overview"
         }
     ],
+    "submitted_in_study_uuid": "a2fdbd58-ee11-4cd9-bc6a-f3d3da7fff71",
     "correlation_method": [],
-    "example_image_uri": [],
-    "image_count": 0
+    "example_image_uri": []
 }

bia-export/test/input_data/studies/S-BIADTEST.json

@@ -70,6 +70,5 @@
         }
     ],
     "funding_statement": "This work was funded by the EBI",
-    "annotation_component": [],
     "attribute": {}
 }

bia-export/test/output_data/bia_export.json

@@ -73,6 +73,7 @@
     "attribute": {},
     "experimental_imaging_component": [
         {
+            "title_id": "Study Component 1",
             "uuid": "47a4ab60-c76d-4424-bfaa-c2a024de720c",
             "description": "Description of study component 1",
             "analysis_method": [
@@ -82,7 +83,8 @@
                 }
             ],
             "correlation_method": [],
-            "example_image_uri": []
+            "example_image_uri": [],
+            "submitted_in_study_uuid": "a2fdbd58-ee11-4cd9-bc6a-f3d3da7fff71"
         }
     ]
 }

bia-ingest-shared-models/bia_ingest_sm/conversion/annotation_method.py

@@ -4,7 +4,8 @@
     dicts_to_api_models,
     find_sections_recursive,
     dict_to_uuid,
-    persist
+    persist,
+    filter_model_dictionary
 )
 from ..biostudies import (
     Submission,
@@ -52,6 +53,8 @@ def extract_annotation_method_dicts(submission: Submission) -> List[Dict[str, An
         model_dict["accno"] = section.__dict__.get("accno", "")
         model_dict["accession_id"] = submission.accno
         model_dict["uuid"] = generate_annotation_method_uuid(model_dict)
+        model_dict = filter_model_dictionary(model_dict, bia_data_model.AnnotationMethod)
+
         model_dicts.append(model_dict)
 
     return model_dicts

bia-ingest-shared-models/bia_ingest_sm/conversion/biosample.py

@@ -4,7 +4,8 @@
     dicts_to_api_models,
     find_sections_recursive,
     dict_to_uuid,
-    persist
+    persist,
+    filter_model_dictionary
 )
 from ..biostudies import (
     Submission,
@@ -74,6 +75,7 @@ def extract_biosample_dicts(submission: Submission) -> List[Dict[str, Any]]:
 
         model_dict["accession_id"] = submission.accno
         model_dict["uuid"] = generate_biosample_uuid(model_dict)
+        model_dict = filter_model_dictionary(model_dict, bia_data_model.BioSample)
         model_dicts.append(model_dict)
 
     return model_dicts

bia-ingest-shared-models/bia_ingest_sm/conversion/experimental_imaging_dataset.py

@@ -5,7 +5,8 @@
     get_generic_section_as_list,
     dict_to_uuid,
     get_generic_section_as_dict,
-    persist
+    persist,
+    filter_model_dictionary
 )
 from .file_reference import get_file_reference_by_study_component
 import bia_ingest_sm.conversion.biosample as biosample_conversion
@@ -97,6 +98,9 @@ def get_experimental_imaging_dataset(
             "example_image_uri": [],
         }
         model_dict["uuid"] = generate_experimental_imaging_dataset_uuid(model_dict)
+
+        model_dict = filter_model_dictionary(model_dict, bia_data_model.ExperimentalImagingDataset)
+
         experimental_imaging_dataset.append(
             bia_data_model.ExperimentalImagingDataset.model_validate(model_dict)
         )

bia-ingest-shared-models/bia_ingest_sm/conversion/file_reference.py

@@ -3,6 +3,7 @@
 from typing import List, Dict
 from .utils import (
     dict_to_uuid,
+    filter_model_dictionary,
 )
 from ..biostudies import (
     Submission,
@@ -56,6 +57,7 @@ def get_file_reference_by_study_component(
                 file_dict["submission_dataset"] = fileref_uuid
                 file_dict["format"] = f.type
                 file_dict["attribute"] = attributes_to_dict(f.attributes)
+                file_dict = filter_model_dictionary(file_dict, bia_data_model.FileReference)
                 file_reference = bia_data_model.FileReference.model_validate(file_dict)
                 output_path = output_dir / f"{fileref_uuid}.json"
                 output_path.write_text(file_reference.model_dump_json(indent=2))

bia-ingest-shared-models/bia_ingest_sm/conversion/image_acquisition.py

@@ -4,7 +4,8 @@
     dicts_to_api_models,
     find_sections_recursive,
     dict_to_uuid,
-    persist
+    persist,
+    filter_model_dictionary,
 )
 from ..biostudies import (
     Submission,
@@ -51,6 +52,7 @@ def extract_image_acquisition_dicts(submission: Submission) -> List[Dict[str, An
         model_dict["accno"] = section.__dict__.get("accno", "")
         model_dict["accession_id"] = submission.accno
         model_dict["uuid"] = generate_image_acquisition_uuid(model_dict)
+        model_dict = filter_model_dictionary(model_dict, bia_data_model.ImageAcquisition)
         model_dicts.append(model_dict)
 
     return model_dicts

bia-ingest-shared-models/bia_ingest_sm/conversion/specimen_growth_protocol.py

@@ -4,7 +4,8 @@
     dicts_to_api_models,
     find_sections_recursive,
     dict_to_uuid,
-    persist
+    persist,
+    filter_model_dictionary
 )
 from ..biostudies import (
     Submission,
@@ -46,6 +47,8 @@ def extract_specimen_growth_protocol_dicts(submission: Submission) -> List[Dict[
         model_dict["accno"] = section.__dict__.get("accno", "")
         model_dict["accession_id"] = submission.accno
         model_dict["uuid"] = generate_specimen_growth_protocol_uuid(model_dict)
+        model_dict = filter_model_dictionary(model_dict, bia_data_model.SpecimenGrowthProtocol)
+
         model_dicts.append(model_dict)
 
     return model_dicts

bia-ingest-shared-models/bia_ingest_sm/conversion/specimen_imaging_preparation_protocol.py

@@ -4,7 +4,8 @@
     dicts_to_api_models,
     find_sections_recursive,
     dict_to_uuid,
-    persist
+    persist,
+    filter_model_dictionary
 )
 from ..biostudies import (
     Submission,
@@ -49,6 +50,8 @@ def extract_specimen_preparation_protocol_dicts(submission: Submission) -> List[
         model_dict["accno"] = section.__dict__.get("accno", "")
         model_dict["accession_id"] = submission.accno
         model_dict["uuid"] = generate_specimen_imaging_preparation_uuid(model_dict)
+        model_dict = filter_model_dictionary(model_dict, bia_data_model.SpecimenImagingPrepartionProtocol)
+
         model_dicts.append(model_dict)
 
     return model_dicts

bia-ingest-shared-models/bia_ingest_sm/conversion/study.py

@@ -65,7 +65,6 @@ def get_study(
         "author": [c.model_dump() for c in contributors],
         "grant": [g.model_dump() for g in grants],
         "attribute": study_attributes,
-        "annotation_component": [],
     }
     # study_uuid = dict_to_uuid(study_dict, ["accession_id",])
     # study_dict["uuid"] = study_uuid

bia-ingest-shared-models/bia_ingest_sm/conversion/utils.py

@@ -150,4 +150,10 @@ def persist(object_list: List, object_path: str, sumbission_accno: str):
     for object in object_list:
         output_path = output_dir / f"{object.uuid}.json"
         output_path.write_text(object.model_dump_json(indent=2))
-        logger.info(f"Written {output_path}")
+        logger.info(f"Written {output_path}")
+
+
+def filter_model_dictionary(dictionary: dict, target_model: Type[BaseModel]):
+    accepted_fields = target_model.model_fields.keys()
+    result_dict = {key: dictionary[key] for key in accepted_fields}
+    return result_dict

bia-ingest-shared-models/test/utils.py

@@ -6,8 +6,10 @@
 
 from typing import Dict, List
 from bia_shared_datamodels import bia_data_model, semantic_models
-from bia_ingest_sm.conversion.utils import dict_to_uuid
-
+from bia_ingest_sm.conversion.utils import (
+    dict_to_uuid,
+    filter_model_dictionary
+)
 
 def get_test_annotation_method() -> List[bia_data_model.AnnotationMethod]:
     # For UUID
@@ -21,7 +23,7 @@ def get_test_annotation_method() -> List[bia_data_model.AnnotationMethod]:
         "method_type",
         "source_dataset",
     ]
-    protocol_info = [
+    annotation_method_info = [
         {
             "accno": "Annotations-29",
             "accession_id": "S-BIADTEST",
@@ -34,47 +36,12 @@ def get_test_annotation_method() -> List[bia_data_model.AnnotationMethod]:
         },
     ]
 
-    protocol = []
-    for protocol_dict in protocol_info:
-        protocol_dict["uuid"] = dict_to_uuid(protocol_dict, attributes_to_consider)
-        protocol.append(bia_data_model.AnnotationMethod.model_validate(protocol_dict))
-    return protocol
-
-
-def get_test_specimen_growth_protocol() -> List[bia_data_model.ImageAcquisition]:
-    # For UUID
-    attributes_to_consider = [
-        "accession_id",
-        "accno",
-        "title_id",
-        "protocol_description",
-    ]
-    protocol_info = [
-        {
-            "accno": "Image acquisition-3",
-            "accession_id": "S-BIADTEST",
-            "title_id": "Test Primary Screen Image Acquisition",
-            "protocol_description": "Test image acquisition parameters 1",
-            "imaging_instrument_description": "Test imaging instrument 1",
-            "imaging_method_name": "confocal microscopy",
-            "fbbi_id": [],
-        },
-        {
-            "accno": "Image acquisition-7",
-            "accession_id": "S-BIADTEST",
-            "title_id": "Test Secondary Screen Image Acquisition",
-            "protocol_description": "Test image acquisition parameters 2",
-            "imaging_instrument_description": "Test imaging instrument 2",
-            "imaging_method_name": "fluorescence microscopy",
-            "fbbi_id": [],
-        },
-    ]
-
-    protocol = []
-    for protocol_dict in protocol_info:
-        protocol_dict["uuid"] = dict_to_uuid(protocol_dict, attributes_to_consider)
-        protocol.append(bia_data_model.ImageAcquisition.model_validate(protocol_dict))
-    return protocol
+    annotation_method = []
+    for annotation_method_dict in annotation_method_info:
+        annotation_method_dict["uuid"] = dict_to_uuid(annotation_method_dict, attributes_to_consider)
+        annotation_method_dict = filter_model_dictionary(annotation_method_dict, bia_data_model.AnnotationMethod)
+        annotation_method.append(bia_data_model.AnnotationMethod.model_validate(annotation_method_dict))
+    return annotation_method
 
 
 def get_test_specimen_growth_protocol() -> List[bia_data_model.SpecimenGrowthProtocol]:
@@ -103,6 +70,7 @@ def get_test_specimen_growth_protocol() -> List[bia_data_model.SpecimenGrowthPro
     protocol = []
     for protocol_dict in protocol_info:
         protocol_dict["uuid"] = dict_to_uuid(protocol_dict, attributes_to_consider)
+        protocol_dict = filter_model_dictionary(protocol_dict, bia_data_model.SpecimenGrowthProtocol)
         protocol.append(
             bia_data_model.SpecimenGrowthProtocol.model_validate(protocol_dict)
         )
@@ -139,6 +107,7 @@ def get_test_specimen_imaging_preparation_protocol() -> (
     protocol = []
     for protocol_dict in protocol_info:
         protocol_dict["uuid"] = dict_to_uuid(protocol_dict, attributes_to_consider)
+        protocol_dict = filter_model_dictionary(protocol_dict, bia_data_model.SpecimenImagingPrepartionProtocol)
         protocol.append(
             bia_data_model.SpecimenImagingPrepartionProtocol.model_validate(protocol_dict)
         )
@@ -213,6 +182,7 @@ def get_test_biosample() -> List[bia_data_model.BioSample]:
     biosample = []
     for biosample_dict in biosample_info:
         biosample_dict["uuid"] = dict_to_uuid(biosample_dict, attributes_to_consider)
+        biosample_dict = filter_model_dictionary(biosample_dict, bia_data_model.BioSample)
         biosample.append(bia_data_model.BioSample.model_validate(biosample_dict))
     return biosample
 
@@ -252,6 +222,7 @@ def get_test_image_acquisition() -> List[bia_data_model.ImageAcquisition]:
         image_acquisition_dict["uuid"] = dict_to_uuid(
             image_acquisition_dict, attributes_to_consider
         )
+        image_acquisition_dict = filter_model_dictionary(image_acquisition_dict, bia_data_model.ImageAcquisition)
         image_acquisition.append(
             bia_data_model.ImageAcquisition.model_validate(image_acquisition_dict)
         )
@@ -310,6 +281,7 @@ def get_test_experimental_imaging_dataset() -> (
         ],
     )
     experimental_imaging_dataset_dict["uuid"] = experimental_imaging_dataset_uuid
+    experimental_imaging_dataset_dict = filter_model_dictionary(experimental_imaging_dataset_dict, bia_data_model.ExperimentalImagingDataset)
     experimental_imaging_dataset1 = (
         bia_data_model.ExperimentalImagingDataset.model_validate(
             experimental_imaging_dataset_dict
@@ -523,10 +495,6 @@ def get_test_study() -> bia_data_model.Study:
             "Test keyword3",
         ],
         "grant": [g.model_dump() for g in grant],
-        "experimental_imaging_component": [
-            e.uuid for e in get_test_experimental_imaging_dataset()
-        ],
-        "annotation_component": [],
     }
     study_uuid = dict_to_uuid(
         study_dict,

bia-shared-datamodels/src/bia_shared_datamodels/bia_data_model.py

@@ -1,13 +1,19 @@
 from __future__ import annotations
 
 from . import semantic_models
-from pydantic import BaseModel, Field
+from pydantic import BaseModel, Field, ConfigDict
 from typing import List, Optional
 from uuid import UUID
 from enum import Enum
 
 
+
+
 class DocumentMixin(BaseModel):
+
+    # Throw error if you try to validate/create model from a dictionary with keys that aren't a field in the model
+    model_config = ConfigDict(extra="forbid")
+
     uuid: UUID = Field(
         description="""Unique ID (across the BIA database) used to refer to and identify a document."""
     )