mirror of
https://github.com/arc53/DocsGPT.git
synced 2025-11-29 08:33:20 +00:00
adapt cache and add proper comment docs string
This commit is contained in:
@@ -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
|
||||
|
||||
|
||||
Reference in New Issue
Block a user