Förberett för att skicka med modell i anrop till apiEndpoint

smartassist/src/backend.py

@@ -67,7 +67,8 @@ def chat(url_server = "http://localhost:11434/api/generate", model = "phi3:mini"
     # Get the message from the JSON in the request body
     data = request.get_json()
     message = data.get('query')
-
+    url_server = data.get('url_server', url_server)  # Use provided URL or default
+    model = data.get('model', model)  # Use provided model or default
     logger.debug("data = %s\nmessage = %s", str(data), str(message))
     try:
         url = url_server

smartassist/src/html/client.html

@@ -14,12 +14,27 @@
     <textarea id="userInput" placeholder="Type your message..." rows="5"></textarea>
     <button onclick="sendMessage()">Send</button>
 
+    <!-- Get the apiEndpoint -->
+    <script>
+        const apiEndpoint = window.apiEndpoint;
+        // Debugging – log messages
+        // if (apiEndpoint) {
+        //     console.log("client.html - apiEndpoint: ", apiEndpoint);
+        // }
+        // else {
+        //     console.log("client.html  - cannot find apiEndpoint");
+        // }
+    </script>
+
+    <!-- Get the javascript handling communication with the backene -->
     <script src="/js/frontend.js"></script>
+
     <script>
         const chatContainer = document.getElementById('chatbox');
 
         // Handle resize events
-        window.addEventListener('resize', function() {
+        window.addEventListener('resize', 
+            function() {
                 chatContainer.style.height = 'auto'; 
         });
 
@@ -37,6 +52,7 @@
         });
 
     </script>
+
 </body>
 </html>
 

smartassist/src/startservices.py

@@ -5,13 +5,13 @@ import yaml
 import json
 import socket
 import urllib.parse
+from backend import run_flask
 import logging
 import utils
-from utils import configure_logging
-from backend import run_flask
+from utils import GlobalState
 
-configure_logging()  # Configure root logger. The level will be adjusted later based on config file
-logger = logging.getLogger(__name__) # Logger for this module, inherit properties of the root logger
+global_state = GlobalState() # Configure root logger. The level will be adjusted later based on config file
+logger = global_state.getLogger(__name__)  # Logger for this module, inherit properties of the root logger
 
 def configure():
     """
@@ -46,17 +46,10 @@ def configure():
     # Extract global logging level
     ####################################
     if isinstance(updated_config.get('logging'), dict): # Look for 'logging' key in config file
-        # logging.info("found key 'logging' in config file")
         logging_config = updated_config['logging'] 
         if isinstance(logging_config.get('level'), str): # Set to value of the yaml file if specified
-            # logging.info("found key 'level' in config file")
-            utils.log_level = logging_config['level'] 
-            numeric_log_level = getattr(logging, utils.log_level, None)
-
-    rlogger = logging.getLogger() # Get the root logger
-    rlogger.setLevel(numeric_log_level) 
-    # set_local_logger(logger) # Set log level for logger based on log_level
-    logger.info("Global variable utils.log_level set to: {}".format(utils.log_level))
+            global_state.set_log_level(logging_config['level'])
+            logger.debug("configure(): This logger now has effective log level %s", logger.getEffectiveLevel())
 
     ####################################
     # Extract and export API endpoint as 
@@ -70,7 +63,7 @@ def configure():
                 api = updated_config['backend'].get('api')
                 backend_api_ep = url+api # Extract API endpoint if defined
     logger.debug("BE_API_ENDPOINT is set to '{}'".format(backend_api_ep))
-    os.environ['BE_API_ENDPOINT'] = backend_api_ep 
+    os.environ['BE_API_ENDPOINT'] = backend_api_ep # Look into alternative way to share this with backend.py
 
     return updated_config
 
@@ -113,6 +106,6 @@ def start_backend(config):
 if __name__ == '__main__':
     conf = configure() # Read config from file and set up config dict
     logger.debug('conf dictionary set to {}'.format(json.dumps(conf, indent=4)))
-    # start_frontend(config=conf) 
+    # start_frontend(config=conf) # Not needed as we are using Flask for backend now
     start_backend(config=conf)
 

smartassist/src/static/js/frontend.js

@@ -3,17 +3,6 @@
 const chatbox = document.getElementById('chatbox');
 const userInput = document.getElementById('userInput');
 
-// Get API endpoint for chat from environment variable
-
-
-// Handle resize events 
-window.addEventListener('resize', () => {
-  chatbox.style.height = 'auto';
-});
-
-
-// ... other code for sending messages ...
-
 // Define a function to send the user's message to the AI
 function sendMessage() {
   // Get the user's input message and trim any whitespace
@@ -21,12 +10,12 @@ function sendMessage() {
 
     // Check if the message is not empty
     if (query !== '') {
-        // Send a POST request to the /api/chat endpoint with the message
-        // fetch('http://localhost:5005/api/chat', {
+ 
         fetch(`${apiEndpoint}`, {
             method: 'POST',
             headers: { 'Content-Type': 'application/json' },
-            body: JSON.stringify({ query }),
+            body: JSON.stringify({ query, model: "phi3:mini" }), // Add these parameters here
+            // body: JSON.stringify({ query, url_server: "http://your-custom-url", model: "phi3:mini" }), // Add these parameters here
         })
         .then(response => response.json())
         .then(data => {
@@ -60,22 +49,3 @@ function renderMessage(text, className) {
     // Append the message element to the chatbox
     chatbox.appendChild(messageElement);
 }
-
-
-function handleIframeLoad() {
-    const clientFrame = document.getElementById('client-frame');
-  
-    if (clientFrame) { // Check if the iframe exists
-  
-      const apiEndpoint = clientFrame.getAttribute('data-api-endpoint') || clientFrame.srcdoc.split('?')[1].split('=')[1]; 
-      console.log("The API Endpoint is:", apiEndpoint);
-     
-      // Now you can use this 'apiEndpoint' for communication
-  
-    } else {
-      setTimeout(handleIframeLoad, 200); // Retry in a short while if iframe not found yet
-      console.log("The iframe with id client-frame not found yet");
-    }
-  }
-   
-  window.addEventListener('load', handleIframeLoad);

smartassist/src/templates/index.html

@@ -4,19 +4,25 @@
 <!-- <title>Frontend</title> -->
 </head>
 <body>
-    <script>
-        // Extract apiEndpoint for use in your frontend code...
-        const apiEndpoint = '{{ api_endpoint }}';  // Templating syntax (Jinja2)
-        console.log("index.html - API Endpoint: ", apiEndpoint);
-    </script>
+
 
     <!-- This iframe will hold the content from client.html -->
     <!-- Passing the API endpoint as a query parameter to the srcdoc attribute -->
+    <!-- srcdoc="{{ client_content }}?apiEndpoint={{ api_endpoint }}/"> -->
+
     <iframe id="client-frame" 
             style="width: 100%; height: 100vh;" 
-            srcdoc="{{ client_content }}?apiEndpoint={{ api_endpoint }}/">
+            srcdoc="{{ client_content }}">
     </iframe>
 
+    <script>
+        // Extract apiEndpoint for use in your frontend code...
+        const apiEndpoint = '{{ api_endpoint }}';  // Templating syntax (Jinja2)
+        // Tell the iframe about the apiEndpoing
+        document.getElementById('client-frame').contentWindow.apiEndpoint = apiEndpoint;
+        console.log("index.html - API Endpoint: ", apiEndpoint);
+    </script>
+
     <!-- Responsive scaling and some padding -->
     <script>
         const clientFrame = document.getElementById('client-frame');

smartassist/src/utils.py

@@ -2,36 +2,55 @@
 # imported to more than one other module. The rational for defining these things here
 # is that it is easier to avoid circular imports when they are defined in a central location.
 import logging
-global log_level # Remember, in Python globals are only global in the module it is defined in
-log_level = 'INFO' # Default logging level if not specified in config file
 
-def configure_logging(level=log_level):
+class GlobalState:
     """
-    Set up logging for the project. This is the root logger instance.
-    All child loggers inherit from this logger.
+     This class holds various variables and methods which are accessible across 
+     different modules in the Python project using the Singleton design pattern. 
+     This ensures that only one instance of the class is created and shared among 
+     all modules, preventing circular imports and providing a centralized location 
+     for managing shared resources.
     """
-    numeric_level = getattr(logging, level.upper())  # Convert string to numeric level
-
-    logger = logging.getLogger() # Get the root logger
-    logger.setLevel(numeric_level) 
+    _instance = None  # Private class attribute to hold the single instance of the class
 
+    def __new__(cls):
+        if cls._instance is None:
+            cls._instance = super(GlobalState, cls).__new__(cls)
+            cls._instance.log_level = 'INFO'  # Default logging level
+            cls._instance.logger = logging.getLogger() # Get root logger for the caller module
             handler = logging.StreamHandler() # Or other handler (FileHandler for logs to file)
             formatter = logging.Formatter("%(asctime)s - %(name)s - %(levelname)s - %(message)s")
             handler.setFormatter(formatter)
-    logger.addHandler(handler)
+            cls._instance.logger.addHandler(handler)
+            cls._instance.logger.setLevel(getattr(logging, cls._instance.log_level))  # Initialize root logger level
+            cls._instance.logger.info(" __new__(cls): Logger in GlobalState created: %s", cls._instance.logger)
+        return cls._instance
 
-# To be removed?
-# def set_local_logger(log_instance):
-#     """
-#     Configure logging based on the global variable log_level
-#     Logging is controlled by integer values, where DEBUG < INFO < WARNING < ERROR < CRITICAL.
-#     To turn off logging completely, set numeric_log_level to at least CRITICAL + 1.
-#     """
-#     global log_level
-#     numeric_log_level = getattr(logging, log_level, None)
-#     if not isinstance(numeric_log_level, int):
-#         raise ValueError('Invalid log level: %s' % log_level)
+    def configure_logging(self, level=None):
+        """Set up logging for the project."""
+        if level is None:
+            level = self.log_level
+        # numeric_level = getattr(logging, level.upper())  # Convert string to numeric level
+        numeric_level = getattr(logging, level.upper())  # Convert string to numeric level
+        self.logger.setLevel(numeric_level)
+        self.logger.debug(f"utils.py -- configure_logging(): effective log level is {level} which is {self.logger.getEffectiveLevel()}")
 
-#     log_instance.basicConfig(level=numeric_log_level)  # Set the root logger level to the configured level
-#     log_instance.info('Current log level set to {}'.format(log_instance.getLogger().getEffectiveLevel()))  # Example usage of the logger
+    def set_log_level(self, level = 'INFO'):
+        """Set the logging level."""
+        self.log_level = level
+        self.configure_logging()
 
+    def get_log_level(self):
+        """Getter for log_level attribute."""
+        return self.log_level
+    
+    def get_effective_log_level(self):
+        """Getter for effective log level of loggerattribute."""
+        return self.logger.getEffectiveLevel()
+    
+    def getLogger(self, module_name=None):
+        """Return a logger based on the module name."""
+        if module_name is None:
+            module_name = __name__
+        logger = logging.getLogger(module_name)
+        return logger