10 Commits

5 changed files with 271 additions and 99 deletions
+2 -2
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@@ -6,7 +6,7 @@ backend:
endpoints: endpoints:
- model: "AUTODETECT" - model: "AUTODETECT"
title: "Ollama" title: "Ollama-local"
url: "http://localhost:11434" url: "http://localhost:11434"
provider: "ollama" provider: "ollama"
# - model: "AUTODETECT" # - model: "AUTODETECT"
@@ -18,7 +18,7 @@ endpoints:
Authorization: "${OLLAMA_API_KEY}" # on MacOS: echo "Authorization: Basic $(echo -n 'user:password' | gbase64 -w 0)" Authorization: "${OLLAMA_API_KEY}" # on MacOS: echo "Authorization: Basic $(echo -n 'user:password' | gbase64 -w 0)"
provider: "ollama" provider: "ollama"
# Ollama Server Configuration # Ollama Server Configuration this section is to be removed when endpoints are being parsed correctly
ollama: ollama:
title: "Ollama-local" title: "Ollama-local"
# url: "http://localhost:11434" # url: "http://localhost:11434"
+33 -14
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@@ -12,7 +12,7 @@ from utils import GlobalState
# Create a logger for this module # Create a logger for this module
global_state = GlobalState() # Import the singleton that holds global states (e.g., logger) global_state = GlobalState() # Import the singleton that holds global states (e.g., logger)
logger = global_state.getLogger(__name__) # Logger for this module, inherit properties of the root logger logger = global_state.get_logger(__name__) # Logger for this module, inherit properties of the root logger
# Find out the path to current directory according to the Python interpreter (venv) # Find out the path to current directory according to the Python interpreter (venv)
@@ -45,13 +45,15 @@ def index():
session['chat_history'] = [] # The session object (actually, a dictonary) holds the chat session session['chat_history'] = [] # The session object (actually, a dictonary) holds the chat session
logger.debug("Entering route '/'") logger.debug("Entering route '/'")
# api_endpoint = os.environ['BE_API_ENDPOINT'] # Retrieve the environment variable
api_endpoint = global_state.get_backend_api_ep() # Retrieve the environment variable api_endpoint = global_state.get_backend_api_ep() # Retrieve the environment variable
logger.debug("Backend API endpoint: %s", api_endpoint) host_url = global_state.get_host_url()
use_model = global_state.get_llm() use_model = global_state.get_llm()
logger.debug("Backend API endpoint:\t%s", api_endpoint)
logger.debug("Host of LLMs:\t\t%s", host_url)
logger.debug("LLM to use:\t\t\t%s", use_model)
with open('smartassist/src/html/client.html', 'r') as f: with open('smartassist/src/html/client.html', 'r') as f:
client_html = f.read() client_html = f.read()
logger.debug("Client HTML (first few characters): %s", client_html[:50]) # Print to see if it's loading # logger.debug("Client HTML (first few characters): %s", client_html[:50]) # Print to see if it's loading
# logger.debug("Client HTML (all characters): %s", client_html) # Print to see if it's loading # logger.debug("Client HTML (all characters): %s", client_html) # Print to see if it's loading
return render_template('index.html', api_endpoint=api_endpoint, use_model = use_model, client_content=client_html) return render_template('index.html', api_endpoint=api_endpoint, use_model = use_model, client_content=client_html)
@@ -93,7 +95,6 @@ CORS(app, resources={
@app.route('/api/tags', methods=['GET']) @app.route('/api/tags', methods=['GET'])
def tag(url = "http://localhost:11434/api/tags", headers = None): def tag(url = "http://localhost:11434/api/tags", headers = None):
# def tag(url = "http://localhost:11434/api/tags", headers = {"Content-Type": "application/json"}):
"""Get a list of models for the server located at url.""" """Get a list of models for the server located at url."""
try: try:
logger.debug(f"url: {url} headers: {headers}") logger.debug(f"url: {url} headers: {headers}")
@@ -106,8 +107,8 @@ def tag(url = "http://localhost:11434/api/tags", headers = None):
@app.route('/api/chat', methods=['POST']) @app.route('/api/chat', methods=['POST'])
def chat(model = "phi3:mini"): def chat():
# def chat(url_server = "http://localhost:11434/api/generate", model = "phi3:mini"): # def chat(model = "phi3:mini"):
""" """
This function handles the chat. The frontend client (web browser) calls the This function handles the chat. The frontend client (web browser) calls the
backend server through this endpoint (/api/chat) that manage queries backend server through this endpoint (/api/chat) that manage queries
@@ -117,8 +118,9 @@ def chat(model = "phi3:mini"):
# Get the message from the JSON in the request body # Get the message from the JSON in the request body
data = request.get_json() data = request.get_json()
message = data.get('query') message = data.get('query')
url_server = data.get('url_server', "https://ollama-test.wara-ops.org/api/generate") # Use provided URL or default url_server = data.get('url_server', global_state.get_host_url()) # Use provided URL or current if not provided
model = data.get('model', model) # Use provided model or default if not provided # url_server = data.get('url_server', "https://ollama-test.wara-ops.org/api/generate") # Use provided URL or default
model = data.get('model', global_state.get_llm()) # Use provided model or current if not provided
# Get chat history from session storage (e.g., a dictionary) # Get chat history from session storage (e.g., a dictionary)
chat_history = session.get('chat_history', []) chat_history = session.get('chat_history', [])
@@ -135,13 +137,30 @@ def chat(model = "phi3:mini"):
'prompt': '\n'.join([f"{item['role']}: {item['message']}" for item in chat_history]), 'prompt': '\n'.join([f"{item['role']}: {item['message']}" for item in chat_history]),
"stream": False "stream": False
} }
url = url_server
# TODO: This section should only run when changing to new endpoint...
# begin refactor ###################################
headers = { # Set default header
"Content-Type": "application/json",
}
found_endpoint = False
endpoints = global_state.get_endpoints()
for endpoint in endpoints:
if endpoint["url"] == url: # Look for endpoint with this url
found_endpoint = True
if endpoint["provider"] == "ollama": # Currently only supporting ollama servers
if "requestOptions" in endpoint: # Check if authentication is needed
headers.update({
"Authorization": endpoint["requestOptions"]["headers"]["Authorization"]
})
if found_endpoint == False:
# Raise some error or whatever...
logger.debug(f"Host {url} not found")
# end refactor ###################################
try: try:
url = url_server url = url + "/api/generate"
headers = {
"Content-Type": "application/json",
"Authorization": "Basic ZWNzanBlcjoxM2JjMTU4ZDhmNmY5YTU4YTkzZDNmY2I="
}
logger.debug(f"url: {url} headers: {headers}") logger.debug(f"url: {url} headers: {headers}")
response = requests.post(url, response = requests.post(url,
headers=headers, headers=headers,
+10
View File
@@ -0,0 +1,10 @@
# Some useful constants to be used in the code
from enum import Enum
class LogLevel(Enum):
DEBUG = 'DEBUG'
INFO = 'INFO'
WARNING = 'WARNING'
ERROR = 'ERROR'
CRITICAL = 'CRITICAL'
+13 -9
View File
@@ -5,14 +5,14 @@ import yaml
import json import json
import socket import socket
import urllib.parse import urllib.parse
from backend import run_flask, tag from backend import run_flask
import logging import logging
import requests import requests
import utils import utils
from utils import GlobalState, fetch_models_from_endpoints from utils import GlobalState
global_state = GlobalState() # Configure root logger. The level will be adjusted later based on config file 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 logger = global_state.get_logger(__name__) # Logger for this module, inherit properties of the root logger
def configure(): def configure():
""" """
@@ -44,7 +44,7 @@ def configure():
def update_dict_with_env_vars(d): # Check all keys in d def update_dict_with_env_vars(d): # Check all keys in d
for key in d: # Iterate over all keys in the dictionary. The keys seen are all at the top-level of d for key in d: # Iterate over all keys in the dictionary. The keys seen are all at the top-level of d
logger.info(f"key investigated now: {key}") # logger.info(f"key investigated now: {key}")
d[key] = update_value(d[key]) d[key] = update_value(d[key])
return d return d
@@ -70,19 +70,23 @@ def configure():
if isinstance(updated_config.get('endpoints'), list): # Extract info on endpoint, model, url, provider et cetera from list if isinstance(updated_config.get('endpoints'), list): # Extract info on endpoint, model, url, provider et cetera from list
global_state.set_endpoints(endpoints=updated_config.get('endpoints')) # Extract and set list of endpoints global_state.set_endpoints(endpoints=updated_config.get('endpoints')) # Extract and set list of endpoints
# logger.debug("endpoints = \n{}".format(json.dumps(global_state.get_endpoints(), indent=4))) # logger.debug("endpoints = \n{}".format(json.dumps(global_state.get_endpoints(), indent=4)))
fetch_models_from_endpoints(global_state.get_endpoints(), global_state) # Call the new function global_state.fetch_models()
endpoints = global_state.get_endpoints() endpoints = global_state.get_endpoints()
for endpoint in endpoints: # Set default LLM for each endpoint for endpoint in endpoints: # Set default LLM for each endpoint
available_llms = global_state.get_list_of_available_llms(endpoint=endpoint) available_llms = global_state.get_list_of_available_llms(endpoint=endpoint)
llm = next(iter(available_llms),None) # First available LLM or None. Default for AUTODETECT and requests for non-existing LLMs llm = next(iter(available_llms),None) # First available LLM or None. Default for AUTODETECT and requests for non-existing LLMs
logger.debug(f"url {endpoint['url']} = {available_llms}") logger.debug(f"url {endpoint['url']} = {available_llms}")
if endpoint["model"] in available_llms: # Check if specific LLM requested if endpoint["model"] in available_llms: # Check if specific LLM requested, AUTODETECT evaluates to False
llm = endpoint["model"] llm = endpoint["model"]
endpoint["default_llm"] = llm endpoint["default_llm"] = llm
default_endpoint = next(iter(endpoints),None) # Set default_endpoint to first endpoint from list of endpoints
global_state.set_host_url(next(iter(endpoints),None)) # Set initial host to the first item in endpoints (or None) default_llm = default_endpoint["default_llm"] # Get default LLM for default_endpoint
global_state.set_llm(llm) # Set which server and llm to use default_ulr = default_endpoint["url"] # Get ulr of default_endpoint
global_state.set_host_url(default_ulr) # Set initial host to the first item in endpoints (or None)
global_state.set_llm(default_llm) # Set which llm to use
logger.debug(f"Desired default endpoint: {default_ulr},\tDesired default LLM: {default_llm}")
logger.debug(f"Returned default endpoint: {global_state.get_host_url()},\tReturned default LLM: {global_state.get_llm()}")
return updated_config return updated_config
+210 -71
View File
@@ -4,45 +4,8 @@
import logging import logging
import json import json
import requests import requests
#from backend import GlobalState # Assuming GlobalState is defined there from typing import Optional
from enums import LogLevel
def fetch_models_from_endpoints(endpoints, global_state):
"""
Fetch models from endpoints and update the endpoint dictionaries.
Args:
endpoints (list): List of endpoint dictionaries.
global_state: The global state object.
Returns:
None
"""
logger = logging.getLogger(__name__)
for endpoint in endpoints:
if endpoint["provider"] == "ollama":
headers = {
"Content-Type": "application/json",
}
if "requestOptions" in endpoint: # Check if authentication is needed
headers.update({
"Authorization": endpoint["requestOptions"]["headers"]["Authorization"]
})
try:
models_response = requests.get(endpoint["url"] + "/api/tags", headers=headers)
models_response.raise_for_status() # Raise an exception for HTTP errors
models = models_response.json()
except requests.exceptions.RequestException as e:
logger.error("Error fetching models from backend: %s", str(e))
continue
if isinstance(models, dict) and 'error' in models:
logger.error('Error fetching models from backend: %s', models['error'])
else:
endpoint["models"] = models.get("models", []) # Get the list of models directly
# logger.debug("models = \n{}".format(json.dumps(models, indent=4)))
class GlobalState: class GlobalState:
""" """
@@ -54,7 +17,12 @@ class GlobalState:
""" """
_instance = None # Private class attribute to hold the single instance of the class _instance = None # Private class attribute to hold the single instance of the class
def __new__(cls): def __new__(cls) -> 'GlobalState':
"""
Create a new instance of the GlobalState class.
This is a singleton implementation, so only one instance will be created.
"""
if cls._instance is None: if cls._instance is None:
cls._instance = super(GlobalState, cls).__new__(cls) cls._instance = super(GlobalState, cls).__new__(cls)
cls._instance.log_level = 'INFO' # Default logging level cls._instance.log_level = 'INFO' # Default logging level
@@ -75,8 +43,27 @@ class GlobalState:
return cls._instance return cls._instance
def configure_logging(self, level=None): # def configure_logging(self, level: Optional[LogLevel] = None) -> None:
"""Set up logging for the project.""" # """
# Configure the logging system for this project.
# Args:
# level (LogLevel): The log level to use. If None, uses the default log level set in `self.log_level`.
# Notes:
# This method sets up logging for the project and logs a message at the debug level indicating the effective log level.
# """
def configure_logging(self, level: Optional[str] = None) -> None:
"""
Configure the logging system for this project.
Args:
level (str): The log level to use. Can be one of the standard Python log levels (e.g., 'DEBUG', 'INFO', 'WARNING', etc.). If None, uses the default log level set in `self.log_level`.
Notes:
This method sets up logging for the project and logs a message at the debug level indicating the effective log level.
"""
if level is None: if level is None:
level = self.log_level 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
@@ -84,68 +71,220 @@ class GlobalState:
self.logger.setLevel(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()}") self.logger.debug(f"utils.py -- configure_logging(): effective log level is {level} which is {self.logger.getEffectiveLevel()}")
def set_log_level(self, level = 'INFO'): # def set_log_level(self, level: LogLevel) -> None:
"""Set the logging level.""" # """
# Set the log level for this project.
# Args:
# level (LogLevel): The new log level to use. Can be one of the evels defined in enum.py (e.g., DEBUG, INFO, WARNING, CRITICAL etc.).
# Notes:
# This method updates the `self.log_level` attribute and calls `configure_logging()` to apply the change.
# """
def set_log_level(self, level: str = 'INFO') -> None:
"""
Set the log level for this project.
Args:
level (str): The new log level to use. Can be one of the standard Python log levels (e.g., 'DEBUG', 'INFO', 'WARNING', etc.).
Notes:
This method updates the `self.log_level` attribute and calls `configure_logging()` to apply the change.
"""
self.log_level = level self.log_level = level
self.configure_logging() self.configure_logging()
def get_log_level(self): def get_log_level(self) -> str:
"""Getter for log_level attribute.""" """
Get the current log level.
Returns:
str: The current log level (e.g., 'DEBUG', 'INFO', 'WARNING', etc.).
"""
return self.log_level return self.log_level
def get_effective_log_level(self): def get_effective_log_level(self) -> int:
"""Getter for effective log level of loggerattribute.""" """
Get the effective log level of the logger.
Returns:
int: The numeric value of the effective log level.
"""
return self.logger.getEffectiveLevel() return self.logger.getEffectiveLevel()
def getLogger(self, module_name = None): def get_logger(self, module_name: Optional[str] = None) -> logging.Logger:
"""Return a logger based on the module name."""
"""
Get a logger instance based on the module name.
Args:
module_name (str): The name of the module to get a logger for. If None, uses the current module name (`__name__`).
Returns:
Logger: A logger instance configured for the specified module.
"""
if module_name is None: if module_name is None:
module_name = __name__ module_name = __name__
logger = logging.getLogger(module_name) logger = logging.getLogger(module_name)
return logger return logger
def set_host_url(self, url="http://localhost:11434"): def set_host_url(self, url: str = "http://localhost:11434") -> None:
"""Set the host url to which LLM requests are sent""" """
self.host = url Set the URL of the host to which LLM requests are sent.
def get_host_url(self): Args:
"""Get the url for the currently used host for LLMs""" url (str): The new URL to use. Defaults to 'http://localhost:11434' if not specified.
"""
self.host_url = url
def get_host_url(self) -> str:
"""
Get the current URL of the host used for LLMs.
Returns:
str: The current URL of the host.
"""
return self.host_url return self.host_url
def set_llm(self, model_name="phi3:mini"): def set_llm(self, model_name: str = "phi3:mini") -> None:
"""Set LLM for queries""" """
Set the LLM to use for queries.
Args:
model_name (str): The name of the LLM to use. Defaults to 'phi3:mini' if not specified.
"""
self.llm = model_name self.llm = model_name
def get_llm(self): def get_llm(self) -> str:
"""Getter for which LLM is used for queries""" """
Get the current LLM used for queries.
Returns:
str: The name of the current LLM.
"""
return self.llm return self.llm
def set_backend(self, backend=None): def set_backend(self, backend: Optional[dict] = None) -> None:
"""Set backend server that web clients connect to"""
"""
Set the backend server that web clients connect to.
Args:
backend (dict): A dictionary containing information about the backend server. If None, resets the backend server to its default value.
"""
self.backend = backend self.backend = backend
def get_backend(self): def get_backend(self) -> dict:
"""Getter for backend server that web clients connect to""" """
Get the current backend server used by web clients.
Returns:
dict: A dictionary containing information about the current backend server.
"""
return self.backend return self.backend
def get_backend_api_ep(self): def get_backend_api_ep(self) -> str:
"""Getter for backend API endpoint""" """
Get the API endpoint of the backend server.
Returns:
str: The URL of the API endpoint.
"""
return self.backend["url"]+self.backend["api"] return self.backend["url"]+self.backend["api"]
def set_endpoints(self, endpoints=None): def set_endpoints(self, endpoints: Optional[list[dict]] = None) -> None:
"""Set the list of endpoints.""" """
Set the list of endpoints used by this object.
Args:
endpoints (list): A list of endpoint dictionaries. Each dictionary should contain information about an endpoint.
If None, resets the endpoints to their default value.
Raises:
ValueError: If endpoints is not a list.
Notes:
Endpoints can be reset to their default value by passing None as the argument.
"""
if endpoints is not None: if endpoints is not None:
if not isinstance(endpoints, list): if not isinstance(endpoints, list):
raise ValueError("Endpoints must be a list, even if there is just one model") raise ValueError("Endpoints must be a list, even if there is just one model")
self.endpoints = endpoints self.endpoints = endpoints
def get_endpoints(self): def get_endpoints(self) -> list[dict]:
"""Return the list of endpoints""" """
Get the complete list of endpoints.
Returns:
List of endpoints
"""
return self.endpoints return self.endpoints
def get_list_of_available_llms(self, endpoint=None): def get_endpoints_with_key(self, key: str) -> list[dict]:
"""Return a sorted list of LLMs available at endpoint""" """
Returns a list of endpoint dictionaries that contain the specified key.
Args:
key (str): The key to search for in the endpoint dictionaries.
Returns:
List[Dict]: A list of endpoint dictionaries containing the specified key.
"""
return [ep for ep in self.endpoints if key in ep]
def fetch_models(self) -> None:
"""
Fetch models from endpoints and update the endpoint dictionaries.
Returns:
None
"""
logger = logging.getLogger(__name__)
for endpoint in self.endpoints:
try:
if endpoint["provider"] == "ollama":
headers = {
"Content-Type": "application/json",
}
if "requestOptions" in endpoint: # Check if authentication is needed
headers.update({
"Authorization": endpoint["requestOptions"]["headers"]["Authorization"]
})
models_response = requests.get(endpoint["url"] + "/api/tags", headers=headers)
models_response.raise_for_status() # Raise an exception for HTTP errors
try:
models = models_response.json()
except json.JSONDecodeError as e:
logger.error(f"Failed to parse JSON response: {e}")
continue
if isinstance(models, dict) and 'error' in models: # Unclear if requests to any API actually add this in the response
logger.error('Error fetching models from backend: %s', models['error'])
else:
endpoint["models"] = models.get("models", []) # Get the list of models directly
except requests.exceptions.RequestException as e:
logger.error(f"Request error: {e}")
except Exception as e:
logger.error(f"Unexpected error: {e}")
return # No value returned
def get_list_of_available_llms(self, endpoint: Optional[dict] = None) -> Optional[list[str]]:
"""
Returns a sorted list of Large Language Models (LLMs) available at the specified endpoint.
Args:
endpoint (dict): Optional endpoint dictionary to retrieve LLMs from. If not provided, will use internal endpoint configuration.
Returns:
list: A sorted list of LLM names (strings). Returns None if no LLMs are found or endpoint is invalid.
"""
llm_list = None llm_list = None
if isinstance(endpoint["models"], list): if isinstance(endpoint["models"], list):
llm_list = sorted([list_item['name'] for list_item in endpoint["models"]], key=str.lower) llm_list = sorted([list_item['name'] for list_item in endpoint["models"]], key=str.lower)
return llm_list return llm_list