Files
letta-server/memgpt/utils.py
Charles Packer f2a2942c66 sort agents by directory-last-modified time (#574)
* sort agents by directory-last-modified time

* only save agent config when agent is saved

---------

Co-authored-by: Sarah Wooders <sarahwooders@gmail.com>
2023-12-04 14:16:03 -08:00

174 lines
5.5 KiB
Python

from datetime import datetime
import difflib
import demjson3 as demjson
import json
import pytz
import os
import tiktoken
import memgpt
from memgpt.constants import MEMGPT_DIR
# TODO: what is this?
# DEBUG = True
DEBUG = False
def count_tokens(s: str, model: str = "gpt-4") -> int:
encoding = tiktoken.encoding_for_model(model)
return len(encoding.encode(s))
def printd(*args, **kwargs):
if DEBUG:
print(*args, **kwargs)
def united_diff(str1, str2):
lines1 = str1.splitlines(True)
lines2 = str2.splitlines(True)
diff = difflib.unified_diff(lines1, lines2)
return "".join(diff)
def get_local_time_military():
# Get the current time in UTC
current_time_utc = datetime.now(pytz.utc)
# Convert to San Francisco's time zone (PST/PDT)
sf_time_zone = pytz.timezone("America/Los_Angeles")
local_time = current_time_utc.astimezone(sf_time_zone)
# You may format it as you desire
formatted_time = local_time.strftime("%Y-%m-%d %H:%M:%S %Z%z")
return formatted_time
def get_local_time_timezone(timezone="America/Los_Angeles"):
# Get the current time in UTC
current_time_utc = datetime.now(pytz.utc)
# Convert to San Francisco's time zone (PST/PDT)
sf_time_zone = pytz.timezone(timezone)
local_time = current_time_utc.astimezone(sf_time_zone)
# You may format it as you desire, including AM/PM
formatted_time = local_time.strftime("%Y-%m-%d %I:%M:%S %p %Z%z")
return formatted_time
def get_local_time(timezone=None):
if timezone is not None:
return get_local_time_timezone(timezone)
else:
# Get the current time, which will be in the local timezone of the computer
local_time = datetime.now()
# You may format it as you desire, including AM/PM
formatted_time = local_time.strftime("%Y-%m-%d %I:%M:%S %p %Z%z")
return formatted_time
def parse_json(string):
"""Parse JSON string into JSON with both json and demjson"""
result = None
try:
result = json.loads(string)
return result
except Exception as e:
print(f"Error parsing json with json package: {e}")
try:
result = demjson.decode(string)
return result
except demjson.JSONDecodeError as e:
print(f"Error parsing json with demjson package: {e}")
raise e
def list_agent_config_files(sort="last_modified"):
"""List all agent config files, ignoring dotfiles."""
agent_dir = os.path.join(MEMGPT_DIR, "agents")
files = os.listdir(agent_dir)
# Remove dotfiles like .DS_Store
files = [file for file in files if not file.startswith(".")]
# Remove anything that's not a directory
files = [file for file in files if os.path.isdir(os.path.join(agent_dir, file))]
if sort is not None:
if sort == "last_modified":
# Sort the directories by last modified (most recent first)
files.sort(key=lambda x: os.path.getmtime(os.path.join(agent_dir, x)), reverse=True)
else:
raise ValueError(f"Unrecognized sorting option {sort}")
return files
def list_human_files():
"""List all humans files"""
defaults_dir = os.path.join(memgpt.__path__[0], "humans", "examples")
user_dir = os.path.join(MEMGPT_DIR, "humans")
memgpt_defaults = os.listdir(defaults_dir)
memgpt_defaults = [os.path.join(defaults_dir, f) for f in memgpt_defaults if f.endswith(".txt")]
user_added = os.listdir(user_dir)
user_added = [os.path.join(user_dir, f) for f in user_added]
return memgpt_defaults + user_added
def list_persona_files():
"""List all personas files"""
defaults_dir = os.path.join(memgpt.__path__[0], "personas", "examples")
user_dir = os.path.join(MEMGPT_DIR, "personas")
memgpt_defaults = os.listdir(defaults_dir)
memgpt_defaults = [os.path.join(defaults_dir, f) for f in memgpt_defaults if f.endswith(".txt")]
user_added = os.listdir(user_dir)
user_added = [os.path.join(user_dir, f) for f in user_added]
return memgpt_defaults + user_added
def get_human_text(name: str):
for file_path in list_human_files():
file = os.path.basename(file_path)
if f"{name}.txt" == file or name == file:
return open(file_path, "r").read().strip()
raise ValueError(f"Human {name} not found")
def get_persona_text(name: str):
for file_path in list_persona_files():
file = os.path.basename(file_path)
if f"{name}.txt" == file or name == file:
return open(file_path, "r").read().strip()
raise ValueError(f"Persona {name} not found")
def get_human_text(name: str):
for file_path in list_human_files():
file = os.path.basename(file_path)
if f"{name}.txt" == file or name == file:
return open(file_path, "r").read().strip()
def get_schema_diff(schema_a, schema_b):
# Assuming f_schema and linked_function['json_schema'] are your JSON schemas
f_schema_json = json.dumps(schema_a, indent=2)
linked_function_json = json.dumps(schema_b, indent=2)
# Compute the difference using difflib
difference = list(difflib.ndiff(f_schema_json.splitlines(keepends=True), linked_function_json.splitlines(keepends=True)))
# Filter out lines that don't represent changes
difference = [line for line in difference if line.startswith("+ ") or line.startswith("- ")]
return "".join(difference)