add confirmation and fixes
This commit is contained in:
parent
0e34ea79c6
commit
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@ -246,6 +246,8 @@ With the Connpy API you can run commands on devices using http requests
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- A JSON object with the results of the executed commands on the nodes.
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---
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### 4. Ask AI
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**Endpoint**: `/ask_ai`
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@ -152,6 +152,8 @@ With the Connpy API you can run commands on devices using http requests
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- A JSON object with the results of the executed commands on the nodes.
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---
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### 4. Ask AI
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**Endpoint**: `/ask_ai`
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@ -1,2 +1,2 @@
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__version__ = "3.2.2"
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__version__ = "3.2.3"
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115
connpy/ai.py
115
connpy/ai.py
@ -1,9 +1,11 @@
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import openai
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import time
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import json
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import re
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import ast
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from textwrap import dedent
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from .core import nodes
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from copy import deepcopy
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class ai:
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''' This class generates a ai object. Containts all the information and methods to make requests to openAI chatGPT to run actions on the application.
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@ -116,9 +118,34 @@ class ai:
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self.__prompt["command_assistant"]= """
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router1: ['show running-config']
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"""
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self.__prompt["confirmation_system"] = """
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Please analyze the user's input and categorize it as either an affirmation or negation. Based on this analysis, respond with:
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'True' if the input is an affirmation like 'do it', 'go ahead', 'sure', etc.
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'False' if the input is a negation.
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If the input does not fit into either of these categories, kindly express that you didn't understand and request the user to rephrase their response.
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"""
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self.__prompt["confirmation_user"] = "Yes go ahead!"
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self.__prompt["confirmation_assistant"] = "True"
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self.model = model
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self.temp = temp
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def _retry_function(self, function, max_retries, backoff_num, *args):
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#Retry openai requests
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retries = 0
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while retries < max_retries:
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try:
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myfunction = function(*args)
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break
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except (openai.error.APIConnectionError, openai.error.RateLimitError):
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wait_time = backoff_num * (2 ** retries)
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time.sleep(wait_time)
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retries += 1
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continue
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if retries == max_retries:
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myfunction = False
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return myfunction
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def _clean_original_response(self, raw_response):
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#Parse response for first request to openAI GPT.
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info_dict = {}
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@ -178,6 +205,14 @@ class ai:
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pass
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return info_dict
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def _clean_confirmation_response(self, raw_response):
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#Parse response for confirmation request to openAI GPT.
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value = raw_response.strip()
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if value.strip(".").lower() == "true":
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value = True
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elif value.strip(".").lower() == "false":
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value = False
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return value
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def _get_commands(self, user_input, nodes):
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#Send the request for commands for each device to openAI GPT.
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@ -233,7 +268,51 @@ class ai:
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output["response"] = self._clean_original_response(output["raw_response"])
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return output
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def ask(self, user_input, dryrun = False, chat_history = None):
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def _get_confirmation(self, user_input):
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#Send the request to identify if user is confirming or denying the task
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message = []
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message.append({"role": "system", "content": dedent(self.__prompt["confirmation_system"])})
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message.append({"role": "user", "content": dedent(self.__prompt["confirmation_user"])})
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message.append({"role": "assistant", "content": dedent(self.__prompt["confirmation_assistant"])})
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message.append({"role": "user", "content": user_input})
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response = openai.ChatCompletion.create(
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model=self.model,
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messages=message,
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temperature=self.temp,
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top_p=1
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)
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output = {}
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output["dict_response"] = response
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output["raw_response"] = response["choices"][0]["message"]["content"]
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output["response"] = self._clean_confirmation_response(output["raw_response"])
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return output
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def confirm(self, user_input, max_retries=3, backoff_num=1):
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'''
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Send the user input to openAI GPT and verify if response is afirmative or negative.
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### Parameters:
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- user_input (str): User response confirming or denying.
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### Optional Parameters:
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- max_retries (int): Maximum number of retries for gpt api.
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- backoff_num (int): Backoff factor for exponential wait time
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between retries.
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### Returns:
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bool or str: True, False or str if AI coudn't understand the response
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'''
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result = self._retry_function(self._get_confirmation, max_retries, backoff_num, user_input)
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if result:
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output = result["response"]
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else:
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output = f"{self.model} api is not responding right now, please try again later."
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return output
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def ask(self, user_input, dryrun = False, chat_history = None, max_retries=3, backoff_num=1):
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'''
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Send the user input to openAI GPT and parse the response to run an action in the application.
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@ -250,9 +329,13 @@ class ai:
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### Optional Parameters:
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- dryrun (bool): Set to true to get the arguments to use to run
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in the app. Default is false and it will run
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the actions directly.
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- dryrun (bool): Set to true to get the arguments to use to
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run in the app. Default is false and it
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will run the actions directly.
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- chat_history (list): List in gpt api format for the chat history.
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- max_retries (int): Maximum number of retries for gpt api.
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- backoff_num (int): Backoff factor for exponential wait time
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between retries.
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### Returns:
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@ -279,7 +362,11 @@ class ai:
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'''
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output = {}
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original = self._get_filter(user_input, chat_history)
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original = self._retry_function(self._get_filter, max_retries, backoff_num, user_input, chat_history)
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if not original:
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output["app_related"] = False
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output["response"] = f"{self.model} api is not responding right now, please try again later."
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return output
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output["input"] = user_input
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output["app_related"] = original["response"]["app_related"]
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output["dryrun"] = dryrun
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@ -301,7 +388,12 @@ class ai:
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if not type == "command":
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output["action"] = "list_nodes"
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else:
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commands = self._get_commands(user_input, thisnodes)
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commands = self._retry_function(self._get_commands, max_retries, backoff_num, user_input, thisnodes)
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if not commands:
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output = []
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output["app_related"] = False
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output["response"] = f"{self.model} api is not responding right now, please try again later."
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return output
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output["args"] = {}
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output["args"]["commands"] = commands["response"]["commands"]
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output["args"]["vars"] = commands["response"]["variables"]
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@ -310,10 +402,21 @@ class ai:
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output["action"] = "test"
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else:
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output["action"] = "run"
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if dryrun:
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output["task"] = []
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if output["action"] == "test":
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output["task"].append({"Task": "Verify if expected value is in command(s) output"})
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output["task"].append({"Expected value to verify": output["args"]["expected"]})
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elif output["action"] == "run":
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output["task"].append({"Task": "Run command(s) on devices and return output"})
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varstocommands = deepcopy(output["args"]["vars"])
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del varstocommands["__global__"]
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output["task"].append({"Devices": varstocommands})
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if not dryrun:
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mynodes = nodes(self.config.getitems(output["nodes"]),config=self.config)
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if output["action"] == "test":
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output["result"] = mynodes.test(**output["args"])
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output["logs"] = mynodes.output
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elif output["action"] == "run":
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output["result"] = mynodes.run(**output["args"])
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return output
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@ -70,6 +70,13 @@ def ask_ai():
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ai = myai(conf)
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return ai.ask(input, dryrun, chat_history)
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@app.route("/confirm", methods=["POST"])
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def confirm():
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conf = app.custom_config
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data = request.get_json()
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input = data["input"]
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ai = myai(conf)
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return str(ai.confirm(input))
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@app.route("/run_commands", methods=["POST"])
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def run_commands():
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@ -99,7 +106,7 @@ def run_commands():
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mynodes = nodes(mynodes, config=conf)
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try:
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args["vars"] = data["variables"]
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args["vars"] = data["vars"]
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except:
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pass
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try:
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@ -111,7 +118,9 @@ def run_commands():
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if action == "run":
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output = mynodes.run(**args)
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elif action == "test":
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output = mynodes.test(**args)
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output = {}
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output["result"] = mynodes.test(**args)
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output["output"] = mynodes.output
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else:
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error = "Wrong action '{}'".format(action)
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return({"DataError": error})
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@ -147,6 +147,7 @@ options:
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<ul>
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<li>A JSON object with the results of the executed commands on the nodes.</li>
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</ul>
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<hr>
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<h3 id="4-ask-ai">4. Ask AI</h3>
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<p><strong>Endpoint</strong>: <code>/ask_ai</code></p>
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<p><strong>Method</strong>: <code>POST</code></p>
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@ -401,6 +402,8 @@ With the Connpy API you can run commands on devices using http requests
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- A JSON object with the results of the executed commands on the nodes.
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---
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### 4. Ask AI
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**Endpoint**: `/ask_ai`
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@ -682,9 +685,34 @@ __pdoc__ = {
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self.__prompt["command_assistant"]= """
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router1: ['show running-config']
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"""
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self.__prompt["confirmation_system"] = """
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Please analyze the user's input and categorize it as either an affirmation or negation. Based on this analysis, respond with:
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'True' if the input is an affirmation like 'do it', 'go ahead', 'sure', etc.
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'False' if the input is a negation.
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If the input does not fit into either of these categories, kindly express that you didn't understand and request the user to rephrase their response.
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"""
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self.__prompt["confirmation_user"] = "Yes go ahead!"
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self.__prompt["confirmation_assistant"] = "True"
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self.model = model
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self.temp = temp
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def _retry_function(self, function, max_retries, backoff_num, *args):
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#Retry openai requests
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retries = 0
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while retries < max_retries:
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try:
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myfunction = function(*args)
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break
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except (openai.error.APIConnectionError, openai.error.RateLimitError):
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wait_time = backoff_num * (2 ** retries)
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time.sleep(wait_time)
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retries += 1
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continue
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if retries == max_retries:
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myfunction = False
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return myfunction
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def _clean_original_response(self, raw_response):
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#Parse response for first request to openAI GPT.
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info_dict = {}
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@ -744,6 +772,14 @@ __pdoc__ = {
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pass
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return info_dict
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def _clean_confirmation_response(self, raw_response):
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#Parse response for confirmation request to openAI GPT.
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value = raw_response.strip()
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if value.strip(".").lower() == "true":
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value = True
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elif value.strip(".").lower() == "false":
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value = False
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return value
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def _get_commands(self, user_input, nodes):
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#Send the request for commands for each device to openAI GPT.
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@ -799,7 +835,51 @@ __pdoc__ = {
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output["response"] = self._clean_original_response(output["raw_response"])
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return output
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def ask(self, user_input, dryrun = False, chat_history = None):
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def _get_confirmation(self, user_input):
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#Send the request to identify if user is confirming or denying the task
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message = []
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message.append({"role": "system", "content": dedent(self.__prompt["confirmation_system"])})
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message.append({"role": "user", "content": dedent(self.__prompt["confirmation_user"])})
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message.append({"role": "assistant", "content": dedent(self.__prompt["confirmation_assistant"])})
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message.append({"role": "user", "content": user_input})
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response = openai.ChatCompletion.create(
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model=self.model,
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messages=message,
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temperature=self.temp,
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top_p=1
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)
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output = {}
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output["dict_response"] = response
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output["raw_response"] = response["choices"][0]["message"]["content"]
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output["response"] = self._clean_confirmation_response(output["raw_response"])
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return output
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def confirm(self, user_input, max_retries=3, backoff_num=1):
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'''
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Send the user input to openAI GPT and verify if response is afirmative or negative.
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### Parameters:
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- user_input (str): User response confirming or denying.
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### Optional Parameters:
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- max_retries (int): Maximum number of retries for gpt api.
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- backoff_num (int): Backoff factor for exponential wait time
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between retries.
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### Returns:
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bool or str: True, False or str if AI coudn't understand the response
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'''
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result = self._retry_function(self._get_confirmation, max_retries, backoff_num, user_input)
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if result:
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output = result["response"]
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else:
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output = f"{self.model} api is not responding right now, please try again later."
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return output
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def ask(self, user_input, dryrun = False, chat_history = None, max_retries=3, backoff_num=1):
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'''
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Send the user input to openAI GPT and parse the response to run an action in the application.
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@ -816,9 +896,13 @@ __pdoc__ = {
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### Optional Parameters:
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- dryrun (bool): Set to true to get the arguments to use to run
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in the app. Default is false and it will run
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the actions directly.
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- dryrun (bool): Set to true to get the arguments to use to
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run in the app. Default is false and it
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will run the actions directly.
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- chat_history (list): List in gpt api format for the chat history.
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- max_retries (int): Maximum number of retries for gpt api.
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- backoff_num (int): Backoff factor for exponential wait time
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between retries.
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### Returns:
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@ -845,7 +929,11 @@ __pdoc__ = {
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'''
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output = {}
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original = self._get_filter(user_input, chat_history)
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original = self._retry_function(self._get_filter, max_retries, backoff_num, user_input, chat_history)
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if not original:
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output["app_related"] = False
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output["response"] = f"{self.model} api is not responding right now, please try again later."
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return output
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output["input"] = user_input
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output["app_related"] = original["response"]["app_related"]
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output["dryrun"] = dryrun
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@ -867,7 +955,12 @@ __pdoc__ = {
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if not type == "command":
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output["action"] = "list_nodes"
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else:
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commands = self._get_commands(user_input, thisnodes)
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commands = self._retry_function(self._get_commands, max_retries, backoff_num, user_input, thisnodes)
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if not commands:
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output = []
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output["app_related"] = False
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output["response"] = f"{self.model} api is not responding right now, please try again later."
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return output
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output["args"] = {}
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output["args"]["commands"] = commands["response"]["commands"]
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output["args"]["vars"] = commands["response"]["variables"]
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@ -876,10 +969,21 @@ __pdoc__ = {
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output["action"] = "test"
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else:
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output["action"] = "run"
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if dryrun:
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output["task"] = []
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if output["action"] == "test":
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output["task"].append({"Task": "Verify if expected value is in command(s) output"})
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output["task"].append({"Expected value to verify": output["args"]["expected"]})
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elif output["action"] == "run":
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output["task"].append({"Task": "Run command(s) on devices and return output"})
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varstocommands = deepcopy(output["args"]["vars"])
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del varstocommands["__global__"]
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output["task"].append({"Devices": varstocommands})
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if not dryrun:
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mynodes = nodes(self.config.getitems(output["nodes"]),config=self.config)
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if output["action"] == "test":
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output["result"] = mynodes.test(**output["args"])
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output["logs"] = mynodes.output
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elif output["action"] == "run":
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output["result"] = mynodes.run(**output["args"])
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return output</code></pre>
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@ -887,7 +991,7 @@ __pdoc__ = {
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<h3>Methods</h3>
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<dl>
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<dt id="connpy.ai.ask"><code class="name flex">
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<span>def <span class="ident">ask</span></span>(<span>self, user_input, dryrun=False, chat_history=None)</span>
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<span>def <span class="ident">ask</span></span>(<span>self, user_input, dryrun=False, chat_history=None, max_retries=3, backoff_num=1)</span>
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</code></dt>
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<dd>
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<div class="desc"><p>Send the user input to openAI GPT and parse the response to run an action in the application.</p>
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@ -902,9 +1006,13 @@ __pdoc__ = {
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expected value.
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</code></pre>
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<h3 id="optional-parameters">Optional Parameters:</h3>
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<pre><code>- dryrun (bool): Set to true to get the arguments to use to run
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in the app. Default is false and it will run
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the actions directly.
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<pre><code>- dryrun (bool): Set to true to get the arguments to use to
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run in the app. Default is false and it
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will run the actions directly.
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||||
- chat_history (list): List in gpt api format for the chat history.
|
||||
- max_retries (int): Maximum number of retries for gpt api.
|
||||
- backoff_num (int): Backoff factor for exponential wait time
|
||||
between retries.
|
||||
</code></pre>
|
||||
<h3 id="returns">Returns:</h3>
|
||||
<pre><code>dict: Dictionary formed with the following keys:
|
||||
@ -930,7 +1038,7 @@ __pdoc__ = {
|
||||
<summary>
|
||||
<span>Expand source code</span>
|
||||
</summary>
|
||||
<pre><code class="python">def ask(self, user_input, dryrun = False, chat_history = None):
|
||||
<pre><code class="python">def ask(self, user_input, dryrun = False, chat_history = None, max_retries=3, backoff_num=1):
|
||||
'''
|
||||
Send the user input to openAI GPT and parse the response to run an action in the application.
|
||||
|
||||
@ -947,9 +1055,13 @@ __pdoc__ = {
|
||||
|
||||
### Optional Parameters:
|
||||
|
||||
- dryrun (bool): Set to true to get the arguments to use to run
|
||||
in the app. Default is false and it will run
|
||||
the actions directly.
|
||||
- dryrun (bool): Set to true to get the arguments to use to
|
||||
run in the app. Default is false and it
|
||||
will run the actions directly.
|
||||
- chat_history (list): List in gpt api format for the chat history.
|
||||
- max_retries (int): Maximum number of retries for gpt api.
|
||||
- backoff_num (int): Backoff factor for exponential wait time
|
||||
between retries.
|
||||
|
||||
### Returns:
|
||||
|
||||
@ -976,7 +1088,11 @@ __pdoc__ = {
|
||||
|
||||
'''
|
||||
output = {}
|
||||
original = self._get_filter(user_input, chat_history)
|
||||
original = self._retry_function(self._get_filter, max_retries, backoff_num, user_input, chat_history)
|
||||
if not original:
|
||||
output["app_related"] = False
|
||||
output["response"] = f"{self.model} api is not responding right now, please try again later."
|
||||
return output
|
||||
output["input"] = user_input
|
||||
output["app_related"] = original["response"]["app_related"]
|
||||
output["dryrun"] = dryrun
|
||||
@ -998,7 +1114,12 @@ __pdoc__ = {
|
||||
if not type == "command":
|
||||
output["action"] = "list_nodes"
|
||||
else:
|
||||
commands = self._get_commands(user_input, thisnodes)
|
||||
commands = self._retry_function(self._get_commands, max_retries, backoff_num, user_input, thisnodes)
|
||||
if not commands:
|
||||
output = []
|
||||
output["app_related"] = False
|
||||
output["response"] = f"{self.model} api is not responding right now, please try again later."
|
||||
return output
|
||||
output["args"] = {}
|
||||
output["args"]["commands"] = commands["response"]["commands"]
|
||||
output["args"]["vars"] = commands["response"]["variables"]
|
||||
@ -1007,15 +1128,72 @@ __pdoc__ = {
|
||||
output["action"] = "test"
|
||||
else:
|
||||
output["action"] = "run"
|
||||
if dryrun:
|
||||
output["task"] = []
|
||||
if output["action"] == "test":
|
||||
output["task"].append({"Task": "Verify if expected value is in command(s) output"})
|
||||
output["task"].append({"Expected value to verify": output["args"]["expected"]})
|
||||
elif output["action"] == "run":
|
||||
output["task"].append({"Task": "Run command(s) on devices and return output"})
|
||||
varstocommands = deepcopy(output["args"]["vars"])
|
||||
del varstocommands["__global__"]
|
||||
output["task"].append({"Devices": varstocommands})
|
||||
if not dryrun:
|
||||
mynodes = nodes(self.config.getitems(output["nodes"]),config=self.config)
|
||||
if output["action"] == "test":
|
||||
output["result"] = mynodes.test(**output["args"])
|
||||
output["logs"] = mynodes.output
|
||||
elif output["action"] == "run":
|
||||
output["result"] = mynodes.run(**output["args"])
|
||||
return output</code></pre>
|
||||
</details>
|
||||
</dd>
|
||||
<dt id="connpy.ai.confirm"><code class="name flex">
|
||||
<span>def <span class="ident">confirm</span></span>(<span>self, user_input, max_retries=3, backoff_num=1)</span>
|
||||
</code></dt>
|
||||
<dd>
|
||||
<div class="desc"><p>Send the user input to openAI GPT and verify if response is afirmative or negative.</p>
|
||||
<h3 id="parameters">Parameters:</h3>
|
||||
<pre><code>- user_input (str): User response confirming or denying.
|
||||
</code></pre>
|
||||
<h3 id="optional-parameters">Optional Parameters:</h3>
|
||||
<pre><code>- max_retries (int): Maximum number of retries for gpt api.
|
||||
- backoff_num (int): Backoff factor for exponential wait time
|
||||
between retries.
|
||||
</code></pre>
|
||||
<h3 id="returns">Returns:</h3>
|
||||
<pre><code>bool or str: True, False or str if AI coudn't understand the response
|
||||
</code></pre></div>
|
||||
<details class="source">
|
||||
<summary>
|
||||
<span>Expand source code</span>
|
||||
</summary>
|
||||
<pre><code class="python">def confirm(self, user_input, max_retries=3, backoff_num=1):
|
||||
'''
|
||||
Send the user input to openAI GPT and verify if response is afirmative or negative.
|
||||
|
||||
### Parameters:
|
||||
|
||||
- user_input (str): User response confirming or denying.
|
||||
|
||||
### Optional Parameters:
|
||||
|
||||
- max_retries (int): Maximum number of retries for gpt api.
|
||||
- backoff_num (int): Backoff factor for exponential wait time
|
||||
between retries.
|
||||
|
||||
### Returns:
|
||||
|
||||
bool or str: True, False or str if AI coudn't understand the response
|
||||
'''
|
||||
result = self._retry_function(self._get_confirmation, max_retries, backoff_num, user_input)
|
||||
if result:
|
||||
output = result["response"]
|
||||
else:
|
||||
output = f"{self.model} api is not responding right now, please try again later."
|
||||
return output</code></pre>
|
||||
</details>
|
||||
</dd>
|
||||
</dl>
|
||||
</dd>
|
||||
<dt id="connpy.configfile"><code class="flex name class">
|
||||
@ -4171,6 +4349,7 @@ tasks:
|
||||
<h4><code><a title="connpy.ai" href="#connpy.ai">ai</a></code></h4>
|
||||
<ul class="">
|
||||
<li><code><a title="connpy.ai.ask" href="#connpy.ai.ask">ask</a></code></li>
|
||||
<li><code><a title="connpy.ai.confirm" href="#connpy.ai.confirm">confirm</a></code></li>
|
||||
</ul>
|
||||
</li>
|
||||
<li>
|
||||
|
||||
Loading…
Reference in New Issue
Block a user