Added Pandas Load JSON and Pandas Save JSON nodes.

modules/pandas_wrapper/pandas_load_json.py

@@ -0,0 +1,46 @@
+from typing import Any, Dict
+from io import StringIO
+import pandas as pd
+
+
+class PandasLoadJSON:
+    """
+    PandasLoadJSON:
+        A class for loading JSON files into a pandas DataFrame.
+    """
+    
+    @classmethod
+    def INPUT_TYPES(cls) -> Dict[str, Any]:
+        """
+        Defines the input types for the `load_json` function.
+
+        Returns:
+            Dict[str, Any]: A dictionary specifying required input types.
+        """
+        return {
+            "required": {
+                "file_path": ("STRING", {"multiline": False}),
+            }
+        }
+
+    RETURN_TYPES: tuple = ("STRING",)
+    FUNCTION: str = "load_json"
+    CATEGORY: str = "Data Analysis"
+
+    def load_json(self, file_path: str) -> tuple:
+        """
+        Loads a JSON file into a pandas DataFrame and converts it to a JSON string.
+
+        Args:
+            file_path (str): The path to the JSON file.
+
+        Returns:
+            tuple: A tuple containing a JSON string representation of the DataFrame.
+        """
+        # Read JSON file into DataFrame
+        df = pd.read_json(file_path)
+
+        # Convert DataFrame to JSON
+        result_json = df.to_json()
+
+        return (result_json,)

modules/pandas_wrapper/pandas_save_json.py

@@ -0,0 +1,63 @@
+"""
+This code is based on
+https://github.com/pythongosssss/ComfyUI-Custom-Scripts/blob/main/py/show_text.py
+
+See credit/credit.md for the full license.
+"""
+from typing import Any, Dict
+from io import StringIO
+import pandas as pd
+
+class PandasSaveJSON:
+    """
+    PandasSaveJSON:
+        A class for saving a PandasDataFrame to a JSON file.
+    """
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "dataframe_json": ("STRING", {"forceInput": True}),
+                "file_path": ("STRING", {"multiline": False})
+            },
+            "hidden": {
+                "unique_id": "UNIQUE_ID",
+                "extra_pnginfo": "EXTRA_PNGINFO",
+            },
+        }
+
+    INPUT_IS_LIST = True
+    RETURN_TYPES = ("STRING",)
+    FUNCTION = "save_json"
+    OUTPUT_NODE = True
+    OUTPUT_IS_LIST = (True,)
+
+    CATEGORY = "Data Analysis"
+
+    def save_json(self, dataframe_json,file_path=None, unique_id=None, extra_pnginfo=None):
+        text = None
+        if unique_id is not None and extra_pnginfo is not None:
+            if not isinstance(extra_pnginfo, list):
+                print("Error: extra_pnginfo is not a list")
+            elif (
+                not isinstance(extra_pnginfo[0], dict)
+                or "workflow" not in extra_pnginfo[0]
+            ):
+                print("Error: extra_pnginfo[0] is not a dict or missing 'workflow' key")
+            elif file_path is None or len(file_path) == 0:
+                print("Error: file path is not specified")
+            else:
+                # Deserialize JSON string to DataFrame
+                df = pd.read_json(StringIO(dataframe_json[0]))
+                df.to_json(path_or_buf=file_path[0])  # Save as JSON
+                text = [str(df)]  # wrap in list
+                workflow = extra_pnginfo[0]["workflow"]
+                node = next(
+                    (x for x in workflow["nodes"] if str(x["id"]) == str(unique_id[0])),
+                    None,
+                )
+                if node:
+                    node["widgets_values"] = [text]
+        else:
+            print("unique_id or extra_pnginfo is None.")
+        return {"ui": {"text": text}, "result": (text,)}