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1757542077
| Author | SHA1 | Date | |
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| 1757542077 | |||
| 941b426574 | |||
| 534874e810 |
@@ -7,11 +7,16 @@ import requests
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import json
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import logging
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import os
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# from utils import set_local_logger
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import utils
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from utils import GlobalState
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# Create a logger for this module
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logger = logging.getLogger(__name__) # This logger will be used to log messages from this module
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logger.debug("Logging level of backend logger has been configured")
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# logger = logging.getLogger(__name__) # This logger will be used to log messages from this module
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# logger.debug("Logging level of backend logger has been configured")
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global_state = GlobalState() # Import the singleton that holds global states (e.g., logger)
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logger = global_state.getLogger(__name__) # Logger for this module, inherit properties of the root logger
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# llm = global_state.get_llm()
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# Find out the path to current directory according to the Python interpreter (venv)
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logger.debug("Current working directory: %s", os.getcwd())
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@@ -31,6 +36,7 @@ def index():
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logger.debug("Entering route '/'")
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api_endpoint = os.environ['BE_API_ENDPOINT'] # Retrieve the environment variable
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logger.debug("API endpoint: %s", api_endpoint)
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use_model = global_state.get_llm()
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with open('smartassist/src/html/client.html', 'r') as f:
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client_html = f.read()
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logger.debug("Client HTML (first few characters): %s", client_html[:50]) # Print to see if it's loading
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@@ -114,13 +120,11 @@ def smartassist():
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return jsonify({"response": response})
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def get_response(user_query):
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# Create a client object for interacting with OLLAMA API
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client = Client()
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# Generate and retrieve the response based on user's query
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response = client.generate_response(user_query)
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# Return the generated response
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client = Client() # Create a client object for interacting with OLLAMA API
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response = client.generate_response(user_query) # Generate and retrieve the response based on user's query
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return response
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def run_flask(fport=5005):
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"""
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Starts the Flask server
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@@ -17,16 +17,11 @@
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<!-- Get the apiEndpoint -->
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<script>
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const apiEndpoint = window.apiEndpoint;
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// Debugging – log messages
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// if (apiEndpoint) {
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// console.log("client.html - apiEndpoint: ", apiEndpoint);
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// }
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// else {
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// console.log("client.html - cannot find apiEndpoint");
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// }
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const useModel = window.useModel;
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</script>
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<!-- Get the javascript handling communication with the backene -->
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<!-- Get the javascript handling communication with the backend -->
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<script src="/js/frontend.js"></script>
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<script>
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@@ -56,38 +56,46 @@ def configure():
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# envrionment variable
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####################################
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backend_api_ep = 'http://localhost:5005/api/chat' # Default API endpoint
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if isinstance(updated_config.get('backend'), dict): # Look for 'backend' key in config file
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if isinstance(updated_config['backend'].get('url'), str): # Look for 'url' key in config file
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if isinstance(updated_config.get('backend'), dict): # Look for 'backend' key
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if isinstance(updated_config['backend'].get('url'), str): # Look for 'url' key
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url = updated_config['backend'].get('url')
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if isinstance(updated_config['backend'].get('api'), str): # Look for 'api' key in config file
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if isinstance(updated_config['backend'].get('api'), str): # Look for 'api' key
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api = updated_config['backend'].get('api')
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backend_api_ep = url+api # Extract API endpoint if defined
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logger.debug("BE_API_ENDPOINT is set to '{}'".format(backend_api_ep))
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os.environ['BE_API_ENDPOINT'] = backend_api_ep # Look into alternative way to share this with backend.py
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####################################
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# Extract Ollama parameters (url, api_key, model)
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####################################
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if isinstance(updated_config.get('ollama'), dict): # Look for 'ollama' key
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if isinstance(updated_config['ollama'].get('model'), str): # Look for 'model' key
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model_to_use = updated_config['ollama'].get('model')
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global_state.set_llm(model_to_use)
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return updated_config
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def start_frontend(config):
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parsed_url = urllib.parse.urlparse(config['frontend']['url'])
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hostname = parsed_url.netloc.split(':')[0] # Split by ':' and take the first part, i.e., 'localhost', IP, or domain name
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port = parsed_url.port # This is the server port
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# def start_frontend(config):
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# parsed_url = urllib.parse.urlparse(config['frontend']['url'])
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# hostname = parsed_url.netloc.split(':')[0] # Split by ':' and take the first part, i.e., 'localhost', IP, or domain name
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# port = parsed_url.port # This is the server port
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# Use the socket module in Python to check whether a port is in use,
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# which would indicate that a server is already running on that port.
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with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
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try:
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s.bind((hostname, port))
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logger.debug("No server is running on %s -— starting one.", parsed_url.netloc)
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# Start frontend (web server) as a separate process
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subprocess.Popen(["python", "-m", "http.server", str(port)])
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except socket.error as e:
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if e.errno == 48:
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logger.debug("A server is already running on %s -— will use this.", parsed_url.netloc)
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else:
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raise # Unexpected error, re-raise it so we can see the traceback
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except Exception as e:
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logger.error("Failed to start frontend: %s", str(e)) # Corresponds to print(f"Failed to start frontend: {e}")
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# # Use the socket module in Python to check whether a port is in use,
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# # which would indicate that a server is already running on that port.
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# with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
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# try:
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# s.bind((hostname, port))
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# logger.debug("No server is running on %s -— starting one.", parsed_url.netloc)
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# # Start frontend (web server) as a separate process
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# subprocess.Popen(["python", "-m", "http.server", str(port)])
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# except socket.error as e:
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# if e.errno == 48:
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# logger.debug("A server is already running on %s -— will use this.", parsed_url.netloc)
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# else:
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# raise # Unexpected error, re-raise it so we can see the traceback
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# except Exception as e:
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# logger.error("Failed to start frontend: %s", str(e)) # Corresponds to print(f"Failed to start frontend: {e}")
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@@ -14,7 +14,7 @@ function sendMessage() {
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fetch(`${apiEndpoint}`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({ query, model: "phi3:mini" }), // Add these parameters here
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body: JSON.stringify({ query, model: `${useModel}` }), // Add these parameters here
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// body: JSON.stringify({ query, url_server: "http://your-custom-url", model: "phi3:mini" }), // Add these parameters here
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})
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.then(response => response.json())
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@@ -18,9 +18,12 @@
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<script>
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// Extract apiEndpoint for use in your frontend code...
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const apiEndpoint = '{{ api_endpoint }}'; // Templating syntax (Jinja2)
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const useModel = '{{ use_model }}'; // Templating syntax (Jinja2)
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// Tell the iframe about the apiEndpoing
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document.getElementById('client-frame').contentWindow.apiEndpoint = apiEndpoint;
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document.getElementById('client-frame').contentWindow.useModel = useModel;
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console.log("index.html - API Endpoint: ", apiEndpoint);
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console.log("index.html - use model: ", useModel);
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</script>
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<!-- Responsive scaling and some padding -->
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@@ -24,6 +24,7 @@ class GlobalState:
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cls._instance.logger.addHandler(handler)
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cls._instance.logger.setLevel(getattr(logging, cls._instance.log_level)) # Initialize root logger level
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cls._instance.logger.info(" __new__(cls): Logger in GlobalState created: %s", cls._instance.logger)
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cls._instance.llm = "phi3:mini" # Default LLM for queries. TODO: Check with ollama server that it actually exists
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return cls._instance
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def configure_logging(self, level=None):
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@@ -54,3 +55,12 @@ class GlobalState:
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module_name = __name__
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logger = logging.getLogger(module_name)
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return logger
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def set_llm(self, model_name="phi3:mini"):
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"""Set LLM for queries"""
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self.llm = model_name
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def get_llm(self):
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"""Getter for which LLM is used for queries"""
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return self.llm
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