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124 lines
3.8 KiB
Python
124 lines
3.8 KiB
Python
import datetime
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from typing import Dict, List, Tuple, Iterator
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import os
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from memgpt.cli.cli import quickstart, QuickstartChoice
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from memgpt.data_sources.connectors import DataConnector
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from memgpt.data_types import Document
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from tests import TEST_MEMGPT_CONFIG
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from .constants import TIMEOUT
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class DummyDataConnector(DataConnector):
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"""Fake data connector for texting which yields document/passage texts from a provided list"""
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def __init__(self, texts: List[str]):
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self.texts = texts
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def generate_documents(self) -> Iterator[Tuple[str, Dict]]:
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for text in self.texts:
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yield text, {"metadata": "dummy"}
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def generate_passages(self, documents: List[Document], chunk_size: int = 1024) -> Iterator[Tuple[str | Dict]]:
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for doc in documents:
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yield doc.text, doc.metadata
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def create_config(endpoint="openai"):
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"""Create config file matching quickstart option"""
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if endpoint == "openai":
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quickstart(QuickstartChoice.openai)
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elif endpoint == "memgpt_hosted":
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quickstart(QuickstartChoice.memgpt_hosted)
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else:
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raise ValueError(f"Invalid endpoint {endpoint}")
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def wipe_config():
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if TEST_MEMGPT_CONFIG.exists():
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# delete
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if os.getenv("MEMGPT_CONFIG_PATH"):
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config_path = os.getenv("MEMGPT_CONFIG_PATH")
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else:
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config_path = TEST_MEMGPT_CONFIG.config_path
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# TODO delete file config_path
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os.remove(config_path)
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assert not TEST_MEMGPT_CONFIG.exists(), "Config should not exist after deletion"
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else:
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print("No config to wipe", TEST_MEMGPT_CONFIG.config_path)
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def wipe_memgpt_home():
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"""Wipes ~/.memgpt (moves to a backup), and initializes a new ~/.memgpt dir"""
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# Get the current timestamp in a readable format (e.g., YYYYMMDD_HHMMSS)
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timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
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# Construct the new backup directory name with the timestamp
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backup_dir = f"~/.memgpt_test_backup_{timestamp}"
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# Use os.system to execute the 'mv' command
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os.system(f"mv ~/.memgpt {backup_dir}")
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# Setup the initial directory
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TEST_MEMGPT_CONFIG.create_config_dir()
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def configure_memgpt_localllm():
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import pexpect
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wipe_config()
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child = pexpect.spawn("memgpt configure")
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child.expect("Select LLM inference provider", timeout=TIMEOUT)
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child.send("\x1b[B") # Send the down arrow key
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child.send("\x1b[B") # Send the down arrow key
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child.sendline()
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child.expect("Select LLM backend", timeout=TIMEOUT)
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child.sendline()
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child.expect("Enter default endpoint", timeout=TIMEOUT)
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child.sendline()
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child.expect("Select default model wrapper", timeout=TIMEOUT)
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child.sendline()
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child.expect("Select your model's context window", timeout=TIMEOUT)
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child.sendline()
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child.expect("Select embedding provider", timeout=TIMEOUT)
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child.send("\x1b[B") # Send the down arrow key
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child.send("\x1b[B") # Send the down arrow key
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child.send("\x1b[B") # Send the down arrow key
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child.sendline()
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child.expect("Select default preset", timeout=TIMEOUT)
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child.sendline()
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child.expect("Select default persona", timeout=TIMEOUT)
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child.sendline()
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child.expect("Select default human", timeout=TIMEOUT)
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child.sendline()
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child.expect("Select storage backend for archival data", timeout=TIMEOUT)
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child.sendline()
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child.sendline()
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child.expect(pexpect.EOF, timeout=TIMEOUT) # Wait for child to exit
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child.close()
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assert child.isalive() is False, "CLI should have terminated."
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assert child.exitstatus == 0, "CLI did not exit cleanly."
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def configure_memgpt(enable_openai=False, enable_azure=False):
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if enable_openai:
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raise NotImplementedError
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elif enable_azure:
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raise NotImplementedError
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else:
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configure_memgpt_localllm()
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