moved jsonschema/pydantic models into subfolder, modified flake8 config to ignore said subfolder for line length, updated README.md

Author: blue442

README.md

@@ -71,7 +71,7 @@ for i in range(n_images):
 Foundry is an Open Source project and we encourage contributions from the community. To contribute, please fork from the `main` branch and open a Pull Request on the `main` branch. A member of our team will review your PR shortly.
 
 ## Developer notes
-In order to enforce consistency with external schemas for the metadata and datacite structures ([contained in the MDF data schema repository](https://github.com/materials-data-facility/data-schemas)) the `dc_model.py` and `project_model.py` pydantic data models were generated using the [datamodel-code-generator](https://github.com/koxudaxi/datamodel-code-generator/) tool. In order to ensure compliance with the flake8 linting, the `--use-annoted` flag was passed to ensure regex patterns in `dc_model.py` were specified using pydantic's `Annotated` type vs the soon to be deprecated `constr` type. The command used to run the datamodel-code-generator looks like:
+In order to enforce consistency with external schemas for the metadata and datacite structures ([contained in the MDF data schema repository](https://github.com/materials-data-facility/data-schemas)) the `dc_model.py` and `project_model.py` pydantic data models (found in the `foundry/jsonschema_models` folder) were generated using the [datamodel-code-generator](https://github.com/koxudaxi/datamodel-code-generator/) tool. In order to ensure compliance with the flake8 linting, the `--use-annoted` flag was passed to ensure regex patterns in `dc_model.py` were specified using pydantic's `Annotated` type vs the soon to be deprecated `constr` type. The command used to run the datamodel-code-generator looks like:
 ```
 datamodel-codegen --input dc.json --output dc_model.py --use-annotated
 ```

foundry/foundry_cache.py

@@ -11,7 +11,7 @@
 from typing import List, Any
 
 from .https_download import recursive_ls, download_file
-from foundry.project_model import Split as FoundrySplit
+from foundry.jsonschema_models.project_model import Split as FoundrySplit
 from foundry.models import FoundrySchema
 from foundry.utils import _read_csv, _read_json, _read_excel, is_pandas_pytable
 

foundry/dc_model.py renamed to foundry/jsonschema_models/dc_model.py

@@ -7,8 +7,8 @@
 from pydantic import BaseModel, Extra, ValidationError
 from typing import Optional, Any
 
-from .dc_model import Dc1 as DataciteModel
-from .project_model import Foundry as FoundryModel
+from .jsonschema_models.dc_model import Dc1 as DataciteModel
+from .jsonschema_models.project_model import Foundry as FoundryModel
 
 logging.basicConfig(format='%(levelname)s: %(message)s', level=logging.WARNING)
 logger = logging.getLogger(__name__)

foundry/project_model.py renamed to foundry/jsonschema_models/project_model.py

@@ -1,3 +1,6 @@
 [flake8]
 exclude = .git,*.egg*
 max-line-length = 150
+per-file-ignores =
+    foundry/jsonschema_models/*:E501
+    

foundry/models.py

@@ -5,7 +5,7 @@
 from unittest.mock import MagicMock
 
 from . import test_foundry_dataset
-from foundry.project_model import Split as FoundrySplit, \
+from foundry.jsonschema_models.project_model import Split as FoundrySplit, \
                                   Key as FoundryKey
 from foundry.foundry_cache import FoundryCache
 from foundry.models import FoundrySchema