Scicat object schema rendering using jinja template.

MANIFEST.in

@@ -0,0 +1,2 @@
+include src/scicat_schemas/dataset.schema.json.jinja
+include src/scicat_schemas/origdatablock.schema.json.jinja

pyproject.toml

@@ -32,6 +32,7 @@ dependencies = [
   "ess-streaming-data-types",
   "graypy",
   "h5py",
+  "jinja2",
   "kafka-python",
   "requests",
   "rich"

src/scicat_dataset.py

@@ -0,0 +1,49 @@
+# SPDX-License-Identifier: BSD-3-Clause
+# Copyright (c) 2024 ScicatProject contributors (https://github.com/ScicatProject)
+from jinja2 import Template
+from scicat_path_helpers import get_dataset_schema_template_path
+
+
+def build_dataset_schema(
+    *,
+    nxs_dataset_pid: str,
+    dataset_name: str,
+    dataset_description: str,
+    principal_investigator: str,
+    facility: str,
+    environment: str,
+    scientific_metadata: str,
+    owner: str,
+    owner_email: str,
+    source_folder: str,
+    contact_email: str,
+    iso_creation_time: str,
+    technique_pid: str,
+    technique_name: str,
+    instrument_id: str,
+    sample_id: str,
+    proposal_id: str,
+    owner_group: str,
+    access_groups: list[str],
+) -> str:
+    return Template(get_dataset_schema_template_path().read_text()).render(
+        nxs_dataset_pid=nxs_dataset_pid,
+        dataset_name=dataset_name,
+        dataset_description=dataset_description,
+        principal_investigator=principal_investigator,
+        facility=facility,
+        environment=environment,
+        scientific_metadata=scientific_metadata,
+        owner=owner,
+        owner_email=owner_email,
+        source_folder=source_folder,
+        contact_email=contact_email,
+        iso_creation_time=iso_creation_time,
+        technique_pid=technique_pid,
+        technique_name=technique_name,
+        instrument_id=instrument_id,
+        sample_id=sample_id,
+        proposal_id=proposal_id,
+        owner_group=owner_group,
+        access_groups=access_groups,
+    )

src/scicat_path_helpers.py

@@ -13,3 +13,17 @@ def select_target_directory(
         return file_path.parent / pathlib.Path(fh_options.ingestor_files_directory)
     else:
         return pathlib.Path(fh_options.local_output_directory)
+
+
+def get_dataset_schema_template_path() -> pathlib.Path:
+    """Get the path to the dataset schema template."""
+    return pathlib.Path(__file__).parent / pathlib.Path(
+        "scicat_schemas/dataset.schema.json.jinja"
+    )
+
+
+def get_origdatablock_schema_template_path() -> pathlib.Path:
+    """Get the path to the dataset schema template."""
+    return pathlib.Path(__file__).parent / pathlib.Path(
+        "scicat_schemas/origdatablock.schema.json.jinja"
+    )

src/scicat_schemas/dataset.schema.json.jinja

@@ -0,0 +1,30 @@
+{
+  "pid": "{{ nxs_dataset_pid }}",
+  "datasetName": "{{ dataset_name }}",
+  "description": "{{ dataset_description }}",
+  "principalInvestigator": "{{ principal_investigator }}",
+  "creationLocation": "{{ facility }}:{{ environment }}",
+  "scientificMetadata": {
+    {{ scientific_metadata }}
+  },
+  "owner": "{{ owner }}",
+  "ownerEmail": "{{ owner_email }}",
+  "sourceFolder": "{{ source_folder }}",
+  "contactEmail": "{{ contact_email }}",
+  "creationTime": "{{ iso_creation_time }}",
+  "type": "raw",
+  "techniques": [
+    {
+      "pid": "{{ technique_pid }}",
+      "names": "{{ technique_name }}"
+    }
+  ],
+  "instrumentId": "{{ instrument_id }}",
+  "sampleId": "{{ sample_id }}",
+  "proposalId": "{{ proposal_id }}",
+  "ownerGroup": "{{ owner_group }}",
+  "accessGroups": [
+    {% for access_group in access_groups %}"{{ access_group }}"{% if not loop.last %},
+    {% endif %}{% endfor %}
+  ]
+}

tests/test_scicat_path_helpers.py

@@ -0,0 +1,18 @@
+# SPDX-License-Identifier: BSD-3-Clause
+# Copyright (c) 2024 ScicatProject contributors (https://github.com/ScicatProject)
+
+
+def test_dataset_schema_path_helper() -> None:
+    from scicat_path_helpers import get_dataset_schema_template_path
+
+    path = get_dataset_schema_template_path()
+    assert path.name == "dataset.schema.json.jinja"
+    assert path.exists()
+
+
+def test_origdatablock_schema_path_helper() -> None:
+    from scicat_path_helpers import get_origdatablock_schema_template_path
+
+    path = get_origdatablock_schema_template_path()
+    assert path.name == "origdatablock.schema.json.jinja"
+    assert path.exists()

tests/test_scicat_schema.py

@@ -0,0 +1,93 @@
+# SPDX-License-Identifier: BSD-3-Clause
+# Copyright (c) 2024 ScicatProject contributors (https://github.com/ScicatProject)
+
+
+_example_scientific_metadata = """"run_number": {
+      "value": 18856,
+      "unit": "",
+      "human_name": "Run Number",
+      "type": "integer"
+    },
+    "sample_temperature": {
+      "value": 20.4,
+      "unit": "C",
+      "human_name": "Sample Temperature",
+      "type": "quantity"
+    },
+    "start_time" : {
+      "value" : "2024-07-16T09:30:12.987Z",
+      "unit" : "",
+      "human_name" : "Start Time",
+      "type" : "date"
+    }"""
+
+_example_dataset_schema = (
+    """
+{
+  "pid": "12.234.34567/e3690b21-ee8c-40d6-9409-6b6fdca776d2",
+  "datasetName": "this is a dataset",
+  "description": "this is the description of the dataset",
+  "principalInvestigator": "Somebodys Name",
+  "creationLocation": "ESS:CODA",
+  "scientificMetadata": {
+    """
+    + _example_scientific_metadata
+    + """
+  },
+  "owner": "Somebodys Name",
+  "ownerEmail": "someones_@_email",
+  "sourceFolder": "/ess/data/coda/2024/616254",
+  "contactEmail": "someones_@_email",
+  "creationTime": "2024-07-16T10:00:00.000Z",
+  "type": "raw",
+  "techniques": [
+    {
+      "pid": "someprotocol://someones/url/and/id",
+      "names": "absorption and phase contrast nanotomography"
+    }
+  ],
+  "instrumentId": "12.234.34567/765b3dc3-f658-410e-b371-04dd1adcd520",
+  "sampleId": "bd31725a-dbfd-4c32-87db-1c1ebe61e5ca",
+  "proposalId": "616254",
+  "ownerGroup": "ess_proposal_616254",
+  "accessGroups": [
+    "scientific information management systems group",
+    "scicat group"
+  ]
+}
+
+"""
+)
+
+
+def test_dataset_schema_rendering() -> None:
+    import json
+
+    from scicat_dataset import build_dataset_schema
+
+    dataset_schema = build_dataset_schema(
+        nxs_dataset_pid="12.234.34567/e3690b21-ee8c-40d6-9409-6b6fdca776d2",
+        dataset_name="this is a dataset",
+        dataset_description="this is the description of the dataset",
+        principal_investigator="Somebodys Name",
+        facility="ESS",
+        environment="CODA",
+        scientific_metadata=_example_scientific_metadata,
+        owner="Somebodys Name",
+        owner_email="someones_@_email",
+        source_folder="/ess/data/coda/2024/616254",
+        contact_email="someones_@_email",
+        iso_creation_time="2024-07-16T10:00:00.000Z",
+        technique_pid="someprotocol://someones/url/and/id",
+        technique_name="absorption and phase contrast nanotomography",
+        instrument_id="12.234.34567/765b3dc3-f658-410e-b371-04dd1adcd520",
+        sample_id="bd31725a-dbfd-4c32-87db-1c1ebe61e5ca",
+        proposal_id="616254",
+        owner_group="ess_proposal_616254",
+        access_groups=[
+            "scientific information management systems group",
+            "scicat group",
+        ],
+    )
+
+    assert json.loads(dataset_schema) == json.loads(_example_dataset_schema)