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updating db storage and dependencies

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João Moura
2024-04-02 13:51:05 -03:00
parent 9ab3e67ba2
commit 4f4128075f
5 changed files with 136 additions and 108 deletions
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poetry.lock generated
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@@ -162,6 +162,17 @@ doc = ["Sphinx (>=7)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphin
test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
trio = ["trio (>=0.23)"]
[[package]]
name = "appdirs"
version = "1.4.4"
description = "A small Python module for determining appropriate platform-specific dirs, e.g. a \"user data dir\"."
optional = false
python-versions = "*"
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name = "asgiref"
version = "3.8.1"
@@ -1112,18 +1123,18 @@ test = ["pytest (>=6)"]
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name = "fastapi"
version = "0.110.0"
version = "0.110.1"
description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
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@@ -1382,13 +1393,13 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
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name = "google-cloud-aiplatform"
version = "1.45.0"
version = "1.46.0"
description = "Vertex AI API client library"
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@@ -1425,13 +1436,13 @@ xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
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name = "google-cloud-bigquery"
version = "3.19.0"
version = "3.20.1"
description = "Google BigQuery API client library"
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@@ -2186,13 +2197,13 @@ tests = ["aiohttp", "duckdb", "pandas (>=1.4)", "polars (>=0.19)", "pytest", "py
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name = "langchain"
version = "0.1.13"
version = "0.1.14"
description = "Building applications with LLMs through composability"
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python-versions = "<4.0,>=3.8.1"
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@@ -2200,8 +2211,8 @@ aiohttp = ">=3.8.3,<4.0.0"
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dataclasses-json = ">=0.5.7,<0.7"
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langchain-text-splitters = ">=0.0.1,<0.1"
langsmith = ">=0.1.17,<0.2.0"
numpy = ">=1,<2"
@@ -2215,31 +2226,31 @@ tenacity = ">=8.1.0,<9.0.0"
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name = "langchain-community"
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[[package]]
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version = "0.36.3"
version = "0.37.2"
description = "The little ASGI library that shines."
optional = false
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@@ -5591,4 +5603,4 @@ tools = ["crewai-tools"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.10,<=3.13"
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4
pyproject.toml
View File

@@ -1,6 +1,6 @@
[tool.poetry]
name = "crewai"
version = "0.25.0rc0"
version = "0.27.0rc0"
description = "Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks."
authors = ["Joao Moura <joao@crewai.com>"]
readme = "README.md"
@@ -28,6 +28,7 @@ crewai-tools = { version = "^0.1.1", optional = true }
click = "^8.1.7"
python-dotenv = "1.0.0"
embedchain = "^0.1.98"
appdirs = "^1.4.4"
[tool.poetry.extras]
tools = ["crewai-tools"]
@@ -50,6 +51,7 @@ crewai_tools = "^0.1.1"
profile = "black"
known_first_party = ["crewai"]
[tool.poetry.group.test.dependencies]
pytest = "^8.0.0"
pytest-vcr = "^1.0.2"

3
src/crewai/memory/storage/ltm_sqlite_storage.py
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@@ -3,6 +3,7 @@ import sqlite3
from typing import Any, Dict, Union
from crewai.utilities import Printer
from crewai.utilities.paths import db_storage_path
class LTMSQLiteStorage:
@@ -10,7 +11,7 @@ class LTMSQLiteStorage:
An updated SQLite storage class for LTM data storage.
"""
def __init__(self, db_path=".db/long_term_memory_storage.db"):
def __init__(self, db_path=f"{db_storage_path()}/long_term_memory_storage.db"):
self.db_path = db_path
self._printer: Printer = Printer()
self._initialize_db()

3
src/crewai/memory/storage/rag_storage.py
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@@ -7,6 +7,7 @@ from embedchain import App
from embedchain.llm.base import BaseLlm
from crewai.memory.storage.interface import Storage
from crewai.utilities.paths import db_storage_path
@contextlib.contextmanager
@@ -50,7 +51,7 @@ class RAGStorage(Storage):
"provider": "chroma",
"config": {
"collection_name": type,
"dir": f".db/{type}",
"dir": f"{db_storage_path()}/{type}",
"allow_reset": allow_reset,
},
},

12
src/crewai/utilities/paths.py Normal file
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@@ -0,0 +1,12 @@
from pathlib import Path
import appdirs
def db_storage_path():
app_name = "crewai"
app_author = "CrewAI"
data_dir = Path(appdirs.user_data_dir(app_name, app_author))
data_dir.mkdir(parents=True, exist_ok=True)
return data_dir