vizro-mcp

If successful, the tool will return the python code and, if it is a remote file, the py.cafe link to the chart. The PyCafe link will be automatically opened in your default browser if auto_open is True. Args: dashboard_config: Either a JSON string or a dictionary representing a Vizro dashboard model configuration data_infos: List of DFMetaData objects containing information about the data files custom_charts: List of ChartPlan objects containing information about the custom charts in the dashboard auto_open: Whether to automatically open the PyCafe link in a browser Returns: ValidationResults object with status and dashboard details

{ "$defs": { "ChartPlan": { "description": "Base chart plan used to generate chart code based on user visualization requirements.", "properties": { "chart_code": { "description": "\n Python code that generates a generates a plotly go.Figure object. It must fulfill the following criteria:\n 1. Must be wrapped in a function that is named `chart_name`\n 2. Must accept as first argument argument `data_frame` which is a pandas DataFrame\n 3. Must return a plotly go.Figure object\n 4. All data used in the chart must be derived from the data_frame argument, all data manipulations\n must be done within the function.\n 5. DO NOT modify the background (with plot_bgcolor) or color sequences unless explicitly asked for\n 6. When creating hover templates, explicitly ensure that it works on light and dark mode\n ", "title": "Chart Code", "type": "string" }, "chart_name": { "description": "\n The name of the chart function. Should be unique, concise and in snake_case.\n ", "pattern": "^[a-z][a-z0-9_]*$", "title": "Chart Name", "type": "string" }, "chart_type": { "description": "\n Describes the chart type that best reflects the user request.\n ", "title": "Chart Type", "type": "string" }, "imports": { "description": "\n List of import statements required to render the chart defined by the `chart_code` field. Ensure that every\n import statement is a separate list/array entry: An example of valid list of import statements would be:\n\n [\"import pandas as pd\",\n \"import plotly.express as px\"]\n ", "items": { "type": "string" }, "title": "Imports", "type": "array" } }, "required": [ "chart_type", "chart_name", "imports", "chart_code" ], "title": "ChartPlan", "type": "object" }, "DFMetaData": { "properties": { "column_names_types": { "anyOf": [ { "additionalProperties": { "type": "string" }, "type": "object" }, { "type": "null" } ], "default": null, "title": "Column Names Types" }, "file_location_type": { "enum": [ "local", "remote" ], "title": "File Location Type", "type": "string" }, "file_name": { "title": "File Name", "type": "string" }, "file_path_or_url": { "title": "File Path Or Url", "type": "string" }, "read_function_string": { "enum": [ "pd.read_csv", "pd.read_json", "pd.read_html", "pd.read_parquet", "pd.read_excel" ], "title": "Read Function String", "type": "string" } }, "required": [ "file_name", "file_path_or_url", "file_location_type", "read_function_string" ], "title": "DFMetaData", "type": "object" } }, "properties": { "auto_open": { "default": true, "title": "Auto Open", "type": "boolean" }, "custom_charts": { "items": { "$ref": "#/$defs/ChartPlan" }, "title": "Custom Charts", "type": "array" }, "dashboard_config": { "additionalProperties": true, "title": "Dashboard Config", "type": "object" }, "data_infos": { "items": { "$ref": "#/$defs/DFMetaData" }, "title": "Data Infos", "type": "array" } }, "required": [ "dashboard_config", "data_infos", "custom_charts" ], "title": "validate_dashboard_configArguments", "type": "object" }