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requires_python = ">=3.8" summary = "Backport of pathlib-compatible object wrapper for zip files" groups = ["default"] files = [ - {file = "zipp-3.18.1-py3-none-any.whl", hash = "sha256:206f5a15f2af3dbaee80769fb7dc6f249695e940acca08dfb2a4769fe61e538b"}, - {file = "zipp-3.18.1.tar.gz", hash = "sha256:2884ed22e7d8961de1c9a05142eb69a247f120291bc0206a00a7642f09b5b715"}, + {file = "zipp-3.20.2-py3-none-any.whl", hash = "sha256:a817ac80d6cf4b23bf7f2828b7cabf326f15a001bea8b1f9b49631780ba28350"}, + {file = "zipp-3.20.2.tar.gz", hash = "sha256:bc9eb26f4506fda01b81bcde0ca78103b6e62f991b381fec825435c836edbc29"}, ] diff --git a/pyproject.toml b/pyproject.toml index d5e21ad..f5fa955 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -6,7 +6,7 @@ maintainers = [ {name = "Edwards Arno", email = "Edwards.Arno@outlook.com"}, ] license = {text = "Apache-2.0"} -requires-python = ">=3.10,<4.0" +requires-python = ">=3.11,<4.0" dependencies = [ "loguru>=0.7.2", "openai>=1.10.0", @@ -21,16 +21,15 @@ dependencies = [ "pydantic-settings>=2.2.1", "tomli>=2.0.1", "tomli-w>=1.0.0", - "llama-index<0.10.0", "colorama>=0.4.6", + "llama-index-llms-openai>=0.2.12", ] name = "repoagent" -version = "0.1.3" +version = "0.1.4" description = "An LLM-Powered Framework for Repository-level Code Documentation Generation." readme = "README.md" classifiers = [ "Programming Language :: Python :: 3", - "Programming Language :: Python :: 3.10", "Programming Language :: Python :: 3.11", "Programming Language :: Python :: 3.12", "Topic :: Scientific/Engineering :: Artificial Intelligence" diff --git a/repo_agent/chat_with_repo/prompt.py b/repo_agent/chat_with_repo/prompt.py index 56cb576..0522fe6 100644 --- a/repo_agent/chat_with_repo/prompt.py +++ b/repo_agent/chat_with_repo/prompt.py @@ -1,11 +1,12 @@ -from llama_index.llms import OpenAI +from llama_index.llms.openai import OpenAI +from llama_index.core.llms.function_calling import FunctionCallingLLM from repo_agent.chat_with_repo.json_handler import JsonFileProcessor from repo_agent.log import logger class TextAnalysisTool: - def __init__(self, llm, db_path): + def __init__(self, llm: FunctionCallingLLM, db_path): self.jsonsearch = JsonFileProcessor(db_path) self.llm = llm self.db_path = db_path diff --git a/repo_agent/chat_with_repo/rag.py b/repo_agent/chat_with_repo/rag.py index d4a8199..65bdc7b 100644 --- a/repo_agent/chat_with_repo/rag.py +++ b/repo_agent/chat_with_repo/rag.py @@ -1,7 +1,7 @@ import json -from llama_index import PromptTemplate -from llama_index.llms import OpenAI +from llama_index.core import PromptTemplate +from llama_index.llms.openai import OpenAI from openai import OpenAI as AI from repo_agent.chat_with_repo.json_handler import JsonFileProcessor diff --git a/repo_agent/settings.py b/repo_agent/settings.py index ab363b1..c94b270 100644 --- a/repo_agent/settings.py +++ b/repo_agent/settings.py @@ -10,6 +10,7 @@ SecretStr, field_serializer, field_validator, + FieldSerializationInfo ) from pydantic_settings import BaseSettings @@ -35,7 +36,7 @@ class ProjectSettings(BaseSettings): log_level: LogLevel = LogLevel.INFO @field_serializer("ignore_list") - def serialize_ignore_list(self, ignore_list: list[str] = []): + def serialize_ignore_list(self, ignore_list: list[str], info: FieldSerializationInfo): if ignore_list == [""]: self.ignore_list = [] # If the ignore_list is empty, set it to an empty list return [] @@ -62,7 +63,7 @@ def set_log_level(cls, v: str) -> LogLevel: raise ValueError(f"Invalid log level: {v}") @field_serializer("target_repo") - def serialize_target_repo(self, target_repo: DirectoryPath): + def serialize_target_repo(self, target_repo: DirectoryPath, info: FieldSerializationInfo): return str(target_repo) diff --git a/requirements.txt b/requirements.txt index 5a27439..a321429 100644 --- a/requirements.txt +++ b/requirements.txt @@ -4,114 +4,127 @@ aiofiles==23.2.1 \ --hash=sha256:19297512c647d4b27a2cf7c34caa7e405c0d60b5560618a29a9fe027b18b0107 \ 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