Feature/metadata creation enhancement (#83)

* change to_dict methods to ignore client

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "pyfusion"
-version = "2.0.0"
+version = "2.0.1-dev0"
 edition = "2021"
 
 

py_src/fusion/__init__.py

@@ -2,7 +2,7 @@
 
 __author__ = """Fusion Devs"""
 __email__ = "[email protected]"
-__version__ = "2.0.0"
+__version__ = "2.0.1-dev0"
 
 from fusion._fusion import FusionCredentials
 from fusion.fs_sync import fsync

py_src/fusion/attributes.py

@@ -2,7 +2,7 @@
 
 from __future__ import annotations
 
-from dataclasses import asdict, dataclass, field, fields
+from dataclasses import dataclass, field, fields
 from typing import TYPE_CHECKING, Any, cast
 
 import numpy as np
@@ -280,10 +280,9 @@ def to_dict(self: Attribute) -> dict[str, Any]:
             >>> attribute_dict = attribute.to_dict()
 
         """
-        result = asdict(self)
+        result = {k: v for k, v in self.__dict__.items() if not k.startswith("_")}
         result["unit"] = str(self.unit) if self.unit is not None else None
         result["dataType"] = self.dataType.name
-        result.pop("_client")
         return result
 
     def create(

py_src/fusion/dataset.py

@@ -3,7 +3,7 @@
 from __future__ import annotations
 
 import json as js
-from dataclasses import asdict, dataclass, field, fields
+from dataclasses import dataclass, field, fields
 from typing import TYPE_CHECKING, Any
 
 import pandas as pd
@@ -426,9 +426,9 @@ def to_dict(self) -> dict[str, Any]:
             >>> dataset_dict = dataset.to_dict()
 
         """
-        dataset_dict = asdict(self)
+        dataset_dict = {k: v for k, v in self.__dict__.items() if not k.startswith("_")}
+
         dataset_dict["type"] = dataset_dict.pop("type_")
-        dataset_dict.pop("_client")
         return dataset_dict
 
     def create(

py_src/fusion/product.py

@@ -3,7 +3,7 @@
 from __future__ import annotations
 
 import json as js
-from dataclasses import asdict, dataclass, field, fields
+from dataclasses import dataclass, field, fields
 from typing import TYPE_CHECKING, Any
 
 import pandas as pd
@@ -364,8 +364,7 @@ def to_dict(self: Product) -> dict[str, Any]:
             >>> product_dict = product.to_dict()
 
         """
-        product_dict = asdict(self)
-        product_dict.pop("_client")
+        product_dict = {k: v for k, v in self.__dict__.items() if not k.startswith("_")}
         return product_dict
 
     def create(

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "pyfusion"
-version = "2.0.0"
+version = "2.0.1-dev0"
 
 homepage = "https://github.com/jpmorganchase/fusion"
 description = "JPMC Fusion Developer Tools"
@@ -237,7 +237,7 @@ exclude_lines = [
 
 
 [tool.bumpversion]
-current_version = "2.0.0"
+current_version = "2.0.1-dev0"
 parse = '(?P<major>\d+)\.(?P<minor>\d+)\.(?P<patch>\d+)(?:-(?P<release>[a-z]+)(?P<candidate>\d+))?'
 serialize = [
     '{major}.{minor}.{patch}-{release}{candidate}',