chore: typo dataset_tpye (#643)

pygwalker/api/pygwalker.py

@@ -96,7 +96,7 @@ def __init__(
         self.use_save_tool = use_save_tool
         self.parse_dsl_type = self._get_parse_dsl_type(self.data_parser)
         self.gw_mode = gw_mode
-        self.dataset_type = self.data_parser.dataset_tpye
+        self.dataset_type = self.data_parser.dataset_type
         self.is_export_dataframe = is_export_dataframe
         self._last_exported_dataframe = None
         self.default_tab = default_tab
@@ -147,9 +147,9 @@ def _get_data_parser(
         )
 
     def _get_parse_dsl_type(self, data_parser: BaseDataParser) -> Literal["server", "client"]:
-        if data_parser.dataset_tpye.startswith("connector"):
+        if data_parser.dataset_type.startswith("connector"):
             return "server"
-        if data_parser.dataset_tpye == "cloud_dataset":
+        if data_parser.dataset_type == "cloud_dataset":
             return "server"
         return "client"
 

pygwalker/data_parsers/base.py

@@ -92,7 +92,7 @@ def to_parquet(self) -> io.BytesIO:
 
     @property
     @abc.abstractmethod
-    def dataset_tpye(self) -> str:
+    def dataset_type(self) -> str:
         """get dataset type"""
         raise NotImplementedError
 
@@ -215,7 +215,7 @@ def batch_get_datas_by_payload(self, payload_list: List[Dict[str, Any]]) -> List
         ]
 
     @property
-    def dataset_tpye(self) -> str:
+    def dataset_type(self) -> str:
         return "dataframe_default"
 
     @property

pygwalker/data_parsers/cloud_dataset_parser.py

@@ -103,7 +103,7 @@ def batch_get_datas_by_payload(self, payload_list: List[Dict[str, Any]]) -> List
         ]
 
     @property
-    def dataset_tpye(self) -> str:
+    def dataset_type(self) -> str:
         return "cloud_dataset"
 
     @property

pygwalker/data_parsers/database_parser.py

@@ -224,7 +224,7 @@ def batch_get_datas_by_payload(self, payload_list: List[Dict[str, Any]]) -> List
         ]
 
     @property
-    def dataset_tpye(self) -> str:
+    def dataset_type(self) -> str:
         return f"connector_{self.conn.dialect_name}"
 
     @property

pygwalker/data_parsers/modin_parser.py

@@ -71,5 +71,5 @@ def _infer_analytic(self, s: mpd.Series, field_name: str):
         return "dimension"
 
     @property
-    def dataset_tpye(self) -> str:
+    def dataset_type(self) -> str:
         return "modin_dataframe"

pygwalker/data_parsers/pandas_parser.py

@@ -60,5 +60,5 @@ def _infer_analytic(self, s: pd.Series, field_name: str):
         return "dimension"
 
     @property
-    def dataset_tpye(self) -> str:
+    def dataset_type(self) -> str:
         return "pandas_dataframe"

pygwalker/data_parsers/polars_parser.py

@@ -62,5 +62,5 @@ def _infer_analytic(self, s: pl.Series, field_name: str):
         return "dimension"
 
     @property
-    def dataset_tpye(self) -> str:
+    def dataset_type(self) -> str:
         return "polars_dataframe"

pygwalker/data_parsers/spark_parser.py

@@ -105,7 +105,7 @@ def _rename_dataframe(self, df: DataFrame) -> DataFrame:
         return df.toDF(*new_columns)
 
     @property
-    def dataset_tpye(self) -> str:
+    def dataset_type(self) -> str:
         return "spark_dataframe"
 
     @property

pygwalker/services/cloud_service.py

@@ -364,10 +364,10 @@ def create_cloud_dataset(
         if name is None:
             name = f"pygwalker_{datetime.now().strftime('%Y%m%d%H%M')}"
 
-        if data_parser.dataset_tpye == "cloud_dataset":
+        if data_parser.dataset_type == "cloud_dataset":
             raise ValueError("dataset is already a cloud dataset")
 
-        if data_parser.dataset_tpye.startswith("connector"):
+        if data_parser.dataset_type.startswith("connector"):
             connector = data_parser.conn
             datasource_name = "pygwalker_" + hashlib.md5(connector.url.encode()).hexdigest()
             datasource_id = self.get_datasource_by_name(datasource_name)