1 files changed, 0 insertions, 60 deletions
diff --git a/fuzzycat/fatcat/entities.py b/fuzzycat/fatcat/entities.py
deleted file mode 100644
index 351c2b8..0000000
--- a/fuzzycat/fatcat/entities.py
+++ /dev/null
@@ -1,60 +0,0 @@
-# coding: utf-8
-"""
-This is taken from fatcat_tools/transforms/entities.
-"""
-
-import collections
-import json
-
-import toml
-from fatcat_openapi_client import ApiClient
-
-
-def entity_to_dict(entity, api_client=None) -> dict:
-    """
-    Hack to take advantage of the code-generated serialization code.
-
-    Initializing/destroying ApiClient objects is surprisingly expensive
-    (because it involves a threadpool), so we allow passing an existing
-    instance. If you already have a full-on API connection `api`, you can
-    access the ApiClient object as `api.api_client`. This is such a speed-up
-    that this argument may become mandatory.
-    """
-    if not api_client:
-        api_client = ApiClient()
-    return api_client.sanitize_for_serialization(entity)
-
-
-def entity_from_json(json_str: str, entity_type, api_client=None):
-    """
-    Hack to take advantage of the code-generated deserialization code
-
-    See note on `entity_to_dict()` about api_client argument.
-    """
-    if not api_client:
-        api_client = ApiClient()
-    thing = collections.namedtuple('Thing', ['data'])
-    thing.data = json_str
-    return api_client.deserialize(thing, entity_type)
-
-
-def entity_from_dict(obj: dict, entity_type, api_client=None):
-    json_str = json.dumps(obj)
-    return entity_from_json(json_str, entity_type, api_client=api_client)
-
-
-def entity_to_toml(entity, api_client=None, pop_fields=None) -> str:
-    """
-    pop_fields parameter can be used to strip out some fields from the resulting
-    TOML. Eg, for fields which should not be edited, like the ident.
-    """
-    obj = entity_to_dict(entity, api_client=api_client)
-    pop_fields = pop_fields or []
-    for k in pop_fields:
-        obj.pop(k, None)
-    return toml.dumps(obj)
-
-
-def entity_from_toml(toml_str: str, entity_type, api_client=None):
-    obj = toml.loads(toml_str)
-    return entity_from_dict(obj, entity_type, api_client=api_client)