From 6c3c7c39914679f56b3032076acabf3be7ee6a45 Mon Sep 17 00:00:00 2001 From: Zain Hoda <7146154+zainhoda@users.noreply.github.com> Date: Tue, 4 Jun 2024 10:18:07 -0400 Subject: [PATCH] functions --- src/vanna/advanced/__init__.py | 16 ++ src/vanna/flask/__init__.py | 131 +++++++++++++- src/vanna/flask/assets.py | 52 ++++-- src/vanna/vannadb/vannadb_vector.py | 260 +++++++++++++++++++++++++++- 4 files changed, 435 insertions(+), 24 deletions(-) create mode 100644 src/vanna/advanced/__init__.py diff --git a/src/vanna/advanced/__init__.py b/src/vanna/advanced/__init__.py new file mode 100644 index 00000000..8cf0612c --- /dev/null +++ b/src/vanna/advanced/__init__.py @@ -0,0 +1,16 @@ +from abc import ABC, abstractmethod + + +class VannaAdvanced(ABC): + def __init__(self, vanna_kb: str, vanna_api_key: str, config=None): + self.vanna_kb = vanna_kb + self.vanna_api_key = vanna_api_key + self.config = config + + @abstractmethod + def get_function(self, question: str, additional_data: dict = {}) -> dict: + pass + + @abstractmethod + def create_function(self, question: str, sql: str, plotly_code: str, **kwargs) -> dict: + pass diff --git a/src/vanna/flask/__init__.py b/src/vanna/flask/__init__.py index 2b54cf2a..5177561a 100644 --- a/src/vanna/flask/__init__.py +++ b/src/vanna/flask/__init__.py @@ -1,5 +1,6 @@ import json import logging +import os import sys import uuid from abc import ABC, abstractmethod @@ -7,7 +8,7 @@ import flask import requests -from flask import Flask, Response, jsonify, request +from flask import Flask, Response, jsonify, request, send_from_directory from flask_sock import Sock from .assets import css_content, html_content, js_content @@ -151,7 +152,10 @@ def __init__(self, vn, cache: Cache = MemoryCache(), auto_fix_sql=True, ask_results_correct=True, followup_questions=True, - summarization=True + summarization=True, + function_generation=True, + index_html_path=None, + assets_folder=None, ): """ Expose a Flask app that can be used to interact with a Vanna instance. @@ -176,6 +180,8 @@ def __init__(self, vn, cache: Cache = MemoryCache(), ask_results_correct: Whether to ask the user if the results are correct. Defaults to True. followup_questions: Whether to show followup questions. Defaults to True. summarization: Whether to show summarization. Defaults to True. + index_html_path: Path to the index.html. Defaults to None, which will use the default index.html + assets_folder: The location where you'd like to serve the static assets from. Defaults to None, which will use hardcoded Python variables. Returns: None @@ -202,6 +208,9 @@ def __init__(self, vn, cache: Cache = MemoryCache(), self.ask_results_correct = ask_results_correct self.followup_questions = followup_questions self.summarization = summarization + self.function_generation = function_generation and hasattr(vn, "get_function") + self.index_html_path = index_html_path + self.assets_folder = assets_folder log = logging.getLogger("werkzeug") log.setLevel(logging.ERROR) @@ -247,6 +256,7 @@ def get_config(user: any): "ask_results_correct": self.ask_results_correct, "followup_questions": self.followup_questions, "summarization": self.summarization, + "function_generation": self.function_generation, } config = self.auth.override_config_for_user(user, config) @@ -345,6 +355,56 @@ def generate_sql(user: any): } ) + @self.flask_app.route("/api/v0/get_function", methods=["GET"]) + @self.requires_auth + def get_function(user: any): + question = flask.request.args.get("question") + + if question is None: + return jsonify({"type": "error", "error": "No question provided"}) + + if not hasattr(vn, "get_function"): + return jsonify({"type": "error", "error": "This setup does not support function generation."}) + + id = self.cache.generate_id(question=question) + function = vn.get_function(question=question) + + if function is None: + return jsonify({"type": "error", "error": "No function found"}) + + if 'instantiated_sql' not in function: + self.vn.log(f"No instantiated SQL found for {question} in {function}") + return jsonify({"type": "error", "error": "No instantiated SQL found"}) + + self.cache.set(id=id, field="question", value=question) + self.cache.set(id=id, field="sql", value=function['instantiated_sql']) + + if 'instantiated_post_processing_code' in function and function['instantiated_post_processing_code'] is not None and len(function['instantiated_post_processing_code']) > 0: + self.cache.set(id=id, field="plotly_code", value=function['instantiated_post_processing_code']) + + return jsonify( + { + "type": "function", + "id": id, + "function": function, + } + ) + + @self.flask_app.route("/api/v0/get_all_functions", methods=["GET"]) + @self.requires_auth + def get_all_functions(user: any): + if not hasattr(vn, "get_all_functions"): + return jsonify({"type": "error", "error": "This setup does not support function generation."}) + + functions = vn.get_all_functions() + + return jsonify( + { + "type": "functions", + "functions": functions, + } + ) + @self.flask_app.route("/api/v0/run_sql", methods=["GET"]) @self.requires_auth @self.requires_cache(["sql"]) @@ -438,11 +498,18 @@ def generate_plotly_figure(user: any, id: str, df, question, sql): question = f"{question}. When generating the chart, use these special instructions: {chart_instructions}" try: - code = vn.generate_plotly_code( - question=question, - sql=sql, - df_metadata=f"Running df.dtypes gives:\n {df.dtypes}", - ) + # If chart_instructions is not set then attempt to retrieve the code from the cache + if chart_instructions is None or len(chart_instructions) == 0: + code = self.cache.get(id=id, field="plotly_code") + + if code is None: + code = vn.generate_plotly_code( + question=question, + sql=sql, + df_metadata=f"Running df.dtypes gives:\n {df.dtypes}", + ) + self.cache.set(id=id, field="plotly_code", value=code) + fig = vn.get_plotly_figure(plotly_code=code, df=df, dark_mode=False) fig_json = fig.to_json() @@ -518,6 +585,49 @@ def add_training_data(user: any): print("TRAINING ERROR", e) return jsonify({"type": "error", "error": str(e)}) + @self.flask_app.route("/api/v0/create_function", methods=["POST"]) + @self.requires_auth + def create_function(user: any): + question = flask.request.json.get("question") + sql = flask.request.json.get("sql") + id = flask.request.json.get("id") + + plotly_code = self.cache.get(id=id, field="plotly_code") + + if plotly_code is None: + plotly_code = "" + + function_data = self.vn.create_function(question=question, sql=sql, plotly_code=plotly_code) + + return jsonify( + { + "type": "function_template", + "id": id, + "function_template": function_data, + } + ) + + @self.flask_app.route("/api/v0/update_function", methods=["POST"]) + @self.requires_auth + def update_function(user: any): + old_function_name = flask.request.json.get("old_function_name") + updated_function = flask.request.json.get("updated_function") + + print("old_function_name", old_function_name) + print("updated_function", updated_function) + + updated = vn.update_function(old_function_name=old_function_name, updated_function=updated_function) + + return jsonify({"success": updated}) + + @self.flask_app.route("/api/v0/delete_function", methods=["POST"]) + @self.requires_auth + def delete_function(user: any): + function_name = flask.request.json.get("function_name") + + return jsonify({"success": vn.delete_function(function_name=function_name)}) + + @self.flask_app.route("/api/v0/generate_followup_questions", methods=["GET"]) @self.requires_auth @self.requires_cache(["df", "question", "sql"]) @@ -616,6 +726,9 @@ def catch_all(catch_all): @self.flask_app.route("/assets/") def proxy_assets(filename): + if self.assets_folder: + return send_from_directory(self.assets_folder, filename) + if ".css" in filename: return Response(css_content, mimetype="text/css") @@ -663,6 +776,10 @@ def sock_log(ws): @self.flask_app.route("/", defaults={"path": ""}) @self.flask_app.route("/") def hello(path: str): + if self.index_html_path: + directory = os.path.dirname(self.index_html_path) + filename = os.path.basename(self.index_html_path) + return send_from_directory(directory=directory, path=filename) return html_content def run(self, *args, **kwargs): diff --git a/src/vanna/flask/assets.py b/src/vanna/flask/assets.py index 91cc7391..16dc7e11 100644 --- a/src/vanna/flask/assets.py +++ b/src/vanna/flask/assets.py @@ -7,8 +7,8 @@ Vanna.AI - - + +
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No Training Data

Did you read the docs?

Oops, something went wrong.

You need some training data before you can use Vanna

Get the source code - Back to examples

© All Rights Reserved. 2022.

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© All Rights Reserved. 2022.

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New

Create a New Function

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URL(window.location.href).hash.slice(1);R==="training-data"?dR():R==="functions"?CT():uT()}),[t]}class ja extends Le{constructor(e){super(),_e(this,e,Za,Qa,Ne,{})}}new ja({target:document.getElementById("app")}); ''' \ No newline at end of file diff --git a/src/vanna/vannadb/vannadb_vector.py b/src/vanna/vannadb/vannadb_vector.py index fabe8204..644ba728 100644 --- a/src/vanna/vannadb/vannadb_vector.py +++ b/src/vanna/vannadb/vannadb_vector.py @@ -5,6 +5,7 @@ import pandas as pd import requests +from ..advanced import VannaAdvanced from ..base import VannaBase from ..types import ( DataFrameJSON, @@ -20,7 +21,7 @@ from ..utils import sanitize_model_name -class VannaDB_VectorStore(VannaBase): +class VannaDB_VectorStore(VannaBase, VannaAdvanced): def __init__(self, vanna_model: str, vanna_api_key: str, config=None): VannaBase.__init__(self, config=config) @@ -33,6 +34,7 @@ def __init__(self, vanna_model: str, vanna_api_key: str, config=None): else config["endpoint"] ) self.related_training_data = {} + self._graphql_endpoint = "http://localhost:8080/query" def _rpc_call(self, method, params): if method != "list_orgs": @@ -59,6 +61,262 @@ def _rpc_call(self, method, params): def _dataclass_to_dict(self, obj): return dataclasses.asdict(obj) + def get_all_functions(self) -> list: + # return [ + # { + # "function_name": "calculate_average", + # "description": "Calculates the average value for a specified column in a table.", + # "arguments": [ + # { + # "name": "column", + # "general_type": "STRING", + # "is_user_editable": True, + # "available_values": None + # }, + # { + # "name": "table", + # "general_type": "STRING", + # "is_user_editable": True, + # "available_values": None + # } + # ], + # "sql_template": "SELECT AVG({column}) FROM {table};" + # }, + # { + # "function_name": "get_top_customers_by_sales", + # "description": "Get the top customers by sales", + # "arguments": [ + # { + # "name": "number_of_customers", + # "general_type": "NUMERIC", + # "is_user_editable": True, + # "available_values": None + # } + # ], + # "sql_template": "SELECT * FROM customers ORDER BY sales DESC LIMIT {number_of_customers};" + # } + # ] + + query = """ + { + get_all_sql_functions { + function_name + description + post_processing_code_template + arguments { + name + description + general_type + is_user_editable + available_values + } + sql_template + } + } + """ + + response = requests.post(self._graphql_endpoint, json={'query': query}) + response_json = response.json() + if response.status_code == 200 and 'data' in response_json and 'get_all_sql_functions' in response_json['data']: + self.log(response_json['data']['get_all_sql_functions']) + resp = response_json['data']['get_all_sql_functions'] + + print(resp) + + return resp + else: + raise Exception(f"Query failed to run by returning code of {response.status_code}. {response.text}") + + + + + def get_function(self, question: str, additional_data: dict = {}) -> dict: + # return {'function_name': 'get_artist_with_most_albums', 'description': 'What is the name of the artist that has the most albums?', 'arguments': [], 'sql_template': 'SELECT a.Name, COUNT(al.AlbumId) AS AlbumCount FROM Artist a JOIN Album al ON a.ArtistId = al.ArtistId GROUP BY a.Name ORDER BY AlbumCount DESC LIMIT 1;', 'instantiated_sql': 'SELECT a.Name, COUNT(al.AlbumId) AS AlbumCount FROM Artist a JOIN Album al ON a.ArtistId = al.ArtistId GROUP BY a.Name ORDER BY AlbumCount DESC LIMIT 1;'} + + query = """ + query GetFunction($question: String!) { + get_function(question: $question) { + ... on SQLFunction { + function_name + description + post_processing_code_template + instantiated_post_processing_code + arguments { + name + description + general_type + is_user_editable + instantiated_value + available_values + } + sql_template + instantiated_sql + } + } + } + """ + variables = {"question": question} + response = requests.post(self._graphql_endpoint, json={'query': query, 'variables': variables}) + response_json = response.json() + if response.status_code == 200 and 'data' in response_json and 'get_function' in response_json['data']: + self.log(response_json['data']['get_function']) + resp = response_json['data']['get_function'] + + print(resp) + + return resp + else: + raise Exception(f"Query failed to run by returning code of {response.status_code}. {response.text}") + + + # params = [Question(question=question)] + + # # For now this is just a mock + # mock_function_return = { + # "function_name": "example_function", + # "arguments": [ + # { + # "name": "arg1", + # "general_type": "String", + # "is_user_editable": True, + # "instantiated_value": "value1", + # "available_values": ["value1", "value2", "value3"] + # }, + # { + # "name": "arg2", + # "general_type": "Integer", + # "is_user_editable": False, + # "instantiated_value": "10", + # "available_values": [] + # } + # ], + # "sql_template": "SELECT * FROM table WHERE column1 = {{arg1}} AND column2 = {{arg2}};", + # "instantiated_sql": "SELECT COUNT(*) FROM Artist" + # } + + return mock_function_return + + def create_function(self, question: str, sql: str, plotly_code: str, **kwargs) -> dict: + # return {'function_name': 'get_top_artists_by_sales', 'description': 'Who are the top {limit} artists by sales?', 'arguments': [{'name': 'limit', 'description': 'The number of top artists to retrieve based on sales', 'general_type': 'STRING', 'is_user_editable': True}], 'sql_template': 'SELECT a.Name, SUM(i.UnitPrice * i.Quantity) AS TotalSales FROM Artist a JOIN Album al ON a.ArtistId = al.ArtistId JOIN Track t ON al.AlbumId = t.AlbumId JOIN InvoiceLine i ON t.TrackId = i.TrackId GROUP BY a.Name ORDER BY TotalSales DESC LIMIT {limit};'} + + query = """ + mutation CreateFunction($question: String!, $sql: String!, $plotly_code: String!) { + create_sql_function(question: $question, sql: $sql, post_processing_code: $plotly_code) { + function_name + description + arguments { + name + description + general_type + is_user_editable + } + sql_template + post_processing_code_template + } + } + """ + variables = {"question": question, "sql": sql, "plotly_code": plotly_code} + response = requests.post(self._graphql_endpoint, json={'query': query, 'variables': variables}) + response_json = response.json() + if response.status_code == 200 and 'data' in response_json and response_json['data'] is not None and 'create_sql_function' in response_json['data']: + resp = response_json['data']['create_sql_function'] + + print(resp) + + return resp + else: + raise Exception(f"Query failed to run by returning code of {response.status_code}. {response.text}") + + def update_function(self, old_function_name: str, updated_function: dict) -> bool: + """ + Update an existing SQL function based on the provided parameters. + + Args: + old_function_name (str): The current name of the function to be updated. + updated_function (dict): A dictionary containing the updated function details. Expected keys: + - 'function_name': The new name of the function. + - 'description': The new description of the function. + - 'arguments': A list of dictionaries describing the function arguments. + - 'sql_template': The new SQL template for the function. + - 'post_processing_code_template': The new post-processing code template. + + Returns: + bool: True if the function was successfully updated, False otherwise. + """ + mutation = """ + mutation UpdateSQLFunction($input: SQLFunctionUpdate!) { + update_sql_function(input: $input) + } + """ + + # input SQLFunctionUpdate { + # old_function_name: String! + # function_name: String! + # description: String! + # arguments: [ArgumentUpdate]! + # sql_template: String! + # post_processing_code_template: String! + # } + + # input ArgumentUpdate { + # name: String! + # general_type: GeneralType! + # description: String! + # is_user_editable: Boolean! + # available_values: [String] + # } + + SQLFunctionUpdate = { + 'function_name', 'description', 'arguments', 'sql_template', 'post_processing_code_template' + } + + # Define the expected keys for each argument in the arguments list + ArgumentKeys = {'name', 'general_type', 'description', 'is_user_editable', 'available_values'} + + # Function to validate and transform arguments + def validate_arguments(args): + return [ + {key: arg[key] for key in arg if key in ArgumentKeys} + for arg in args + ] + + # Keep only the keys that conform to the SQLFunctionUpdate GraphQL input type + updated_function = {key: value for key, value in updated_function.items() if key in SQLFunctionUpdate} + + # Special handling for 'arguments' to ensure they conform to the spec + if 'arguments' in updated_function: + updated_function['arguments'] = validate_arguments(updated_function['arguments']) + + variables = { + "input": { + "old_function_name": old_function_name, + **updated_function + } + } + + print("variables", variables) + + response = requests.post(self._graphql_endpoint, json={'query': mutation, 'variables': variables}) + response_json = response.json() + if response.status_code == 200 and 'data' in response_json and response_json['data'] is not None and 'update_sql_function' in response_json['data']: + return response_json['data']['update_sql_function'] + else: + raise Exception(f"Mutation failed to run by returning code of {response.status_code}. {response.text}") + + def delete_function(self, function_name: str) -> bool: + mutation = """ + mutation DeleteSQLFunction($function_name: String!) { + delete_sql_function(function_name: $function_name) + } + """ + variables = {"function_name": function_name} + response = requests.post(self._graphql_endpoint, json={'query': mutation, 'variables': variables}) + response_json = response.json() + if response.status_code == 200 and 'data' in response_json and response_json['data'] is not None and 'delete_sql_function' in response_json['data']: + return response_json['data']['delete_sql_function'] + else: + raise Exception(f"Mutation failed to run by returning code of {response.status_code}. {response.text}") + def create_model(self, model: str, **kwargs) -> bool: """ **Example:**