[add] home assistant plugin
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vendored
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@ -4,4 +4,6 @@ __pycache__
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data
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venv
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openai_key
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ha_key
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minyma.egg-info/
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NOTES.md
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43
README.md
43
README.md
@ -13,15 +13,56 @@
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---
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AI Chat Bot with Vector / Embedding DB Context
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AI Chat Bot with Plugins (Home Assistant, Vehicle Lookup, DuckDuckGo Search)
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[![Build Status](https://drone.va.reichard.io/api/badges/evan/minyma/status.svg)](https://drone.va.reichard.io/evan/minyma)
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## Plugins
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### Vehicle Lookup API
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This utilizes Carvana's undocumented API to lookup details on a vehicle.
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```
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User: What vehicle is NY plate HELLO?
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Assistant: The vehicle corresponding to NY plate HELLO is a 2016 MAZDA CX-5
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Grand Touring Sport Utility 4D with VIN JM3KE4DY6G0672552.
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```
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### Home Assistant API
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This utilizes Home Assistants [Conversational API](https://developers.home-assistant.io/docs/intent_conversation_api/).
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```
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User: Turn off the living room lights
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Assistant: The living room lights have been turned off. Is there anything else I can assist you with?
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User: Turn on the living room lights
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Assistant: The living room lights have been turned on successfully.
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```
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### DuckDuckGo
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This utilizes DuckDuckGo Search by scraping the top 5 results.
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```
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User: Tell me about Evan Reichard
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Assistant: Evan Reichard is a Principal Detection and Response Engineer based
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in the Washington DC-Baltimore Area. He has been in this role since
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August 2022. Evan has created a browser extension that helps SOC
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analysts and saves them over 300 hours per month. Additionally,
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there are three professionals named Evan Reichard on LinkedIn and
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there are also profiles of people named Evan Reichard on Facebook.
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```
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## Running Server
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```bash
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# Locally (See "Development" Section)
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export OPENAI_API_KEY=`cat openai_key`
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export HOME_ASSISTANT_API_KEY=`cat ha_key`
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export HOME_ASSISTANT_URL=https://some-url.com
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minyma server run
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# Docker Quick Start
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@ -25,7 +25,7 @@ def create_app():
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app = Flask(__name__)
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vdb = ChromaDB(path.join(Config.DATA_PATH, "chroma"))
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oai = OpenAIConnector(Config.OPENAI_API_KEY, vdb)
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plugins = PluginLoader()
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plugins = PluginLoader(Config)
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app.register_blueprint(api_common.bp)
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app.register_blueprint(api_v1.bp)
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@ -20,24 +20,20 @@ def get_response():
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resp = minyma.oai.query(message)
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# Derive LLM Data
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llm_resp = resp.get("llm", {})
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llm_choices = llm_resp.get("choices", [])
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# llm_resp = resp.get("llm", {})
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# llm_choices = llm_resp.get("choices", [])
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# Derive VDB Data
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vdb_resp = resp.get("vdb", {})
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combined_context = [{
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"id": vdb_resp.get("ids")[i],
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"distance": vdb_resp.get("distances")[i],
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"doc": vdb_resp.get("docs")[i],
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"metadata": vdb_resp.get("metadatas")[i],
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} for i, _ in enumerate(vdb_resp.get("docs", []))]
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# vdb_resp = resp.get("vdb", {})
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# combined_context = [{
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# "id": vdb_resp.get("ids")[i],
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# "distance": vdb_resp.get("distances")[i],
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# "doc": vdb_resp.get("docs")[i],
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# "metadata": vdb_resp.get("metadatas")[i],
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# } for i, _ in enumerate(vdb_resp.get("docs", []))]
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# Return Data
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return {
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"response": None if len(llm_choices) == 0 else llm_choices[0].get("message", {}).get("content"),
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"context": combined_context,
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"usage": llm_resp.get("usage"),
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}
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return resp
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@ -21,3 +21,5 @@ class Config:
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DATA_PATH: str = get_env("DATA_PATH", default="./data")
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OPENAI_API_KEY: str = get_env("OPENAI_API_KEY", required=True)
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HOME_ASSISTANT_API_KEY: str = get_env("HOME_ASSISTANT_API_KEY", required=False)
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HOME_ASSISTANT_URL: str = get_env("HOME_ASSISTANT_URL", required=False)
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@ -54,6 +54,11 @@ class OpenAIConnector:
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openai.api_key = api_key
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def query(self, question: str) -> Any:
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# Track Usage
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prompt_tokens = 0
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completion_tokens = 0
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total_tokens = 0
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# Get Available Functions
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functions = "\n".join(list(map(lambda x: "- %s" % x["def"], minyma.plugins.plugin_defs().values())))
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@ -82,9 +87,14 @@ class OpenAIConnector:
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)
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)
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# Update Usage
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prompt_tokens += response.usage.get("prompt_tokens", 0)
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completion_tokens += response.usage.get("completion_tokens", 0)
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total_tokens += response.usage.get("prompt_tokens", 0)
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print("[OpenAIConnector] Completed Initial OAI Query:\n", indent(json.dumps({ "usage": response.usage, "function_calls": all_funcs }, indent=2), ' ' * 2))
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# Execute Functions
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# Execute Requested Functions
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func_responses = {}
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for func in all_funcs:
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func_responses[func] = minyma.plugins.execute(func)
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@ -107,10 +117,26 @@ class OpenAIConnector:
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messages=messages
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)
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# Update Usage
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prompt_tokens += response.usage.get("prompt_tokens", 0)
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completion_tokens += response.usage.get("completion_tokens", 0)
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total_tokens += response.usage.get("prompt_tokens", 0)
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print("[OpenAIConnector] Completed Follup Up OAI Query:\n", indent(json.dumps({ "usage": response.usage }, indent=2), ' ' * 2))
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# Get Content
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content = response.choices[0]["message"]["content"]
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# Return Response
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return { "llm": response }
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return {
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"response": content,
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"functions": func_responses,
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"usage": {
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"prompt_tokens": prompt_tokens,
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"completion_tokens": completion_tokens,
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"total_tokens": total_tokens
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}
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}
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def old_query(self, question: str) -> Any:
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# Get related documents from vector db
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@ -7,7 +7,8 @@ class MinymaPlugin:
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pass
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class PluginLoader:
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def __init__(self):
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def __init__(self, config):
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self.config = config
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self.plugins = self.get_plugins()
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self.definitions = self.plugin_defs()
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@ -52,38 +53,6 @@ class PluginLoader:
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return defs
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def derive_function_definitions(self):
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"""Dynamically generate function definitions"""
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function_definitions = []
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for plugin in self.plugins:
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plugin_name = plugin.name
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for method_obj in plugin.functions:
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method_name = method_obj.__name__
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signature = inspect.signature(method_obj)
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parameters = list(signature.parameters.values())
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# Extract Parameter Information
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params_info = {}
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for param in parameters:
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param_name = param.name
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param_type = param.annotation
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params_info[param_name] = {"type": TYPE_DEFS[param_type]}
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# Store Function Information
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method_info = {
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"name": "%s_%s" %(plugin_name, method_name),
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"description": inspect.getdoc(method_obj),
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"parameters": {
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"type": "object",
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"properties": params_info
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}
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}
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function_definitions.append(method_info)
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return function_definitions
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def get_plugins(self):
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"""Dynamically load plugins"""
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@ -120,5 +89,7 @@ class PluginLoader:
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# Instantiate Plugins
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plugins = []
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for cls in plugin_classes:
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plugins.append(cls())
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instance = cls(self.config)
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print("[PluginLoader] %s - Loaded: %d Feature(s)" % (cls.__name__, len(instance.functions)))
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plugins.append(instance)
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return plugins
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@ -11,7 +11,8 @@ HEADERS = {
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class DuckDuckGoPlugin(MinymaPlugin):
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"""Search DuckDuckGo"""
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def __init__(self):
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def __init__(self, config):
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self.config = config
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self.name = "duck_duck_go"
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self.functions = [self.search]
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39
minyma/plugins/home_assistant.py
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39
minyma/plugins/home_assistant.py
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import json
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import urllib.parse
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import requests
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from minyma.plugin import MinymaPlugin
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class HomeAssistantPlugin(MinymaPlugin):
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"""Perform Home Assistant Command"""
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def __init__(self, config):
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self.config = config
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self.name = "home_automation"
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if not config.HOME_ASSISTANT_API_KEY or not config.HOME_ASSISTANT_URL:
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if not config.HOME_ASSISTANT_API_KEY:
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print("[HomeAssistantPlugin] Missing HOME_ASSISTANT_API_KEY")
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if not config.HOME_ASSISTANT_URL:
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print("[HomeAssistantPlugin] Missing HOME_ASSISTANT_URL")
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self.functions = []
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else:
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self.functions = [self.command]
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def command(self, natural_language_command: str):
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url = urllib.parse.urljoin(self.config.HOME_ASSISTANT_URL, "/api/conversation/process")
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headers = {
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"Authorization": "Bearer %s" % self.config.HOME_ASSISTANT_API_KEY,
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"Content-Type": "application/json",
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}
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data = {"text": natural_language_command, "language": "en"}
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resp = requests.post(url, json=data, headers=headers)
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# Parse JSON
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try:
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return json.dumps(resp.json())
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except requests.JSONDecodeError:
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return json.dumps({ "error": "Command Failed" })
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class VehicleLookupPlugin(MinymaPlugin):
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"""Search Vehicle Information"""
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def __init__(self):
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def __init__(self, config):
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self.config = config
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self.name = "vehicle_state_plate"
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self.functions = [self.lookup]
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@ -49,13 +50,12 @@ class VehicleLookupPlugin(MinymaPlugin):
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# Invalid JSON
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if json_resp is None:
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return {
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return json.dumps({
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"error": error,
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"response": text_resp,
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}
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})
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try:
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# Check Result
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status_resp = json_resp.get("status", "Unknown")
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if status_resp != "Succeeded":
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@ -74,10 +74,10 @@ class VehicleLookupPlugin(MinymaPlugin):
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trim = vehicle_info.get("vehicles")[0].get("trim")
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except Exception as e:
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return {
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return json.dumps({
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"error": "Unknown Error: %s" % e,
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"response": text_resp,
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}
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})
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return json.dumps({
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"result": {
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<ul class="list-disc ml-6"></ul>`;
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let ulEl = contextEl.querySelector("ul");
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/*
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// Create Context Links
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data.context
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@ -210,6 +211,7 @@
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newEl.append(linkEl);
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ulEl.append(newEl);
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});
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*/
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// Add to DOM
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content.setAttribute("class", "w-full");
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