import collections import json from typing import Any, Dict, List, Optional import toml from fatcat_openapi_client import ApiClient def entity_to_dict(entity: Any, api_client: Optional[ApiClient] = None) -> Dict[str, Any]: """ 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: Any, api_client: Optional[ApiClient] = None ) -> Any: """ 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: Any, api_client: Optional[ApiClient] = None, pop_fields: Optional[List[str]] = 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: Any, api_client: Optional[List[str]] = None ) -> Any: obj = toml.loads(toml_str) return entity_from_dict(obj, entity_type, api_client=api_client)