adapt cache and add proper comment docs string

This commit is contained in:
fadingNA
2024-10-12 18:05:40 -04:00
parent 1dfb5d29c3
commit ddafb96eba

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@@ -6,23 +6,53 @@ from application.core.settings import settings
from application.utils import get_hash
# Initialize Redis client
redis_client = redis.Redis(
def make_redis():
"""
Initialize a Redis client using the settings provided in the application settings.
Returns:
redis.Redis: A Redis client instance.
"""
return redis.Redis(
host=settings.REDIS_HOST,
port=settings.REDIS_PORT,
db=settings.REDIS_DB,
)
)
def gen_cache_key(messages):
def gen_cache_key(messages, model="docgpt"):
"""
Generate a unique cache key using the latest user prompt.
Generate a unique cache key based on the latest user message and model.
This function extracts the content of the latest user message from the `messages`
list and combines it with the model name to generate a unique cache key using a hash function.
This key can be used for caching responses in the system.
Args:
messages (list): A list of dictionaries representing the conversation messages.
Each dictionary should contain at least a 'content' field and a 'role' field.
model (str, optional): The model name or identifier. Defaults to "docgpt".
Raises:
ValueError: I3messages are provided.
ValueError: If `messages` is not a list.
ValueError: If no user message is found in the conversation.
Returns:
str: A unique cache key generated by hashing the combined model name and latest user message.
"""
latest_user_prompt = next((msg['content'] for msg in reversed(messages) if msg['role'] == 'user'), None)
if not messages:
raise ValueError("No messages found in the conversation to generate a cache key.")
if not isinstance(messages, list):
raise ValueError("Messages must be a list of dictionaries.")
latest_user_prompt = next((msg['content'] for msg in reversed(messages) if msg.get('role') == 'user'), None)
if latest_user_prompt is None:
raise ValueError("No user message found in the conversation to generate a cache key.")
cache_key = get_hash(latest_user_prompt)
return cache_key
combined = f"{model}_{latest_user_prompt}"
cache_key = get_hash(combined)
return cache_key
def gen_cache(func):
"""
@@ -36,8 +66,11 @@ def gen_cache(func):
Returns:
function: The wrapped function that handles caching and LLM response generation.
"""
def wrapper(self, model, messages, *args, **kwargs):
try:
cache_key = gen_cache_key(messages=messages)
redis_client = make_redis()
cached_response = redis_client.get(cache_key)
if cached_response:
print(f"Cache hit for key: {cache_key}")
@@ -46,6 +79,9 @@ def gen_cache(func):
redis_client.set(cache_key, result, ex=3600)
print(f"Cache saved for key: {cache_key}")
return result
except ValueError as e:
print(e)
return "Error: No user message found in the conversation to generate a cache key."
return wrapper
def stream_cache(func):
@@ -61,16 +97,18 @@ def stream_cache(func):
Returns:
function: The wrapped function that handles caching and streaming LLM responses.
(self._raw_gen, decorators=decorators, model=model, messages=messages, stream=stream, *args, **kwargs
"""
def wrapper(self, model, messages, *args, **kwargs):
def wrapper(self, model, messages, stream, *args, **kwargs):
cache_key = gen_cache_key(messages=messages)
try:
# we are using lrange and rpush to simulate streaming
redis_client = make_redis()
cached_response = redis_client.lrange(cache_key, 0, -1)
if cached_response:
print(f"Cache hit for stream key: {cache_key}")
#print(f"Cache hit for stream key: {cache_key}")
for chunk in cached_response:
print(f"Streaming cached chunk: {chunk.decode('utf-8')}")
yield chunk.decode('utf-8')
# need to slow down the response to simulate streaming
# because the cached response is instantaneous
@@ -78,16 +116,18 @@ def stream_cache(func):
time.sleep(0.07)
return
result = func(self, model, messages, *args, **kwargs)
result = func(self, model, messages, stream, *args, **kwargs)
for chunk in result:
print(f"Streaming live chunk: {chunk}")
redis_client.rpush(cache_key, chunk)
yield chunk
# expire the cache after 30 minutes
redis_client.expire(cache_key, 1800)
print(f"Stream cache saved for key: {cache_key}")
except ValueError as e:
print(e)
yield "Error: No user message found in the conversation to generate a cache key."
return wrapper