diff --git a/.streamlit/config.toml b/.streamlit/config.toml new file mode 100644 index 0000000..9ca9daa --- /dev/null +++ b/.streamlit/config.toml @@ -0,0 +1,6 @@ +[theme] +backgroundColor = "#202636" +secondaryBackgroundColor = "#1a1f2b" +primaryColor = "#00ff00" +textColor = "#cdd1f4" +font = "sans serif" diff --git a/codeqai/app.py b/codeqai/app.py index f8f1948..ec622fb 100644 --- a/codeqai/app.py +++ b/codeqai/app.py @@ -1,20 +1,19 @@ import argparse import os +import subprocess from dotenv import dotenv_values, load_dotenv -from langchain.chains import ConversationalRetrievalChain -from langchain.memory import ConversationSummaryMemory from rich.console import Console from rich.markdown import Markdown from rich.syntax import Syntax from yaspin import yaspin from codeqai import codeparser, repo, utils +from codeqai.bootstrap import bootstrap from codeqai.cache import create_cache_dir, get_cache_path, save_vector_cache from codeqai.config import create_config, get_config_path, load_config from codeqai.constants import EmbeddingsModel, LlmHost from codeqai.embeddings import Embeddings -from codeqai.llm import LLM from codeqai.vector_store import VectorStore @@ -66,7 +65,7 @@ def run(): parser = argparse.ArgumentParser() parser.add_argument( "action", - choices=["search", "chat", "configure", "sync"], + choices=["app", "search", "chat", "configure", "sync"], help="Action to perform. 'search' will semantically search the codebase. 'chat' will chat with the codebase.", ) args = parser.parse_args() @@ -96,8 +95,7 @@ def run(): ): required_keys.extend( [ - "OPENAI_API_TYPE", - "OPENAI_API_BASE_URL", + "OPENAI_API_BASE", "OPENAI_API_KEY", "OPENAI_API_VERSION", ] @@ -105,16 +103,18 @@ def run(): env_path = get_config_path().replace("config.yaml", ".env") env_loader(env_path, required_keys) - repo_name = repo.get_git_root(os.getcwd()).split("/")[-1] + repo_name = repo.repo_name() # init cache create_cache_dir() embeddings_model = Embeddings( model=EmbeddingsModel[config["embeddings"].upper().replace("-", "_")], - deployment=config["embeddings-deployment"] - if "embeddings-deployment" in config - else None, + deployment=( + config["embeddings-deployment"] + if "embeddings-deployment" in config + else None + ), ) # check if faiss.index exists @@ -129,87 +129,72 @@ def run(): vector_store.index_documents(documents) save_vector_cache(vector_store.vector_cache, f"{repo_name}.json") spinner.stop() - else: - vector_store = VectorStore(repo_name, embeddings=embeddings_model.embeddings) - vector_store.load_documents() - - if args.action == "sync": - spinner = yaspin(text="πŸ”§ Parsing codebase...", color="green") - files = repo.load_files() - documents = codeparser.parse_code_files(files) - vector_store.sync_documents(documents) - save_vector_cache(vector_store.vector_cache, f"{repo_name}.json") - spinner.stop() - print("βš™οΈ Vector store synced with current git checkout.") - llm = LLM( - llm_host=LlmHost[config["llm-host"].upper().replace("-", "_")], - chat_model=config["chat-model"], - deployment=config["model-deployment"] if "model-deployment" in config else None, - ) - memory = ConversationSummaryMemory( - llm=llm.chat_model, memory_key="chat_history", return_messages=True - ) - qa = ConversationalRetrievalChain.from_llm( - llm.chat_model, retriever=vector_store.retriever, memory=memory - ) - - console = Console() - while True: - choice = None - if args.action == "sync": - break - if args.action == "search": - search_pattern = input("πŸ”Ž Enter a search pattern: ") - spinner = yaspin(text="πŸ€– Processing...", color="green") - spinner.start() - similarity_result = vector_store.similarity_search(search_pattern) - spinner.stop() - for doc in similarity_result: - language = utils.get_programming_language( - utils.get_file_extension(doc.metadata["filename"]) - ) - - start_line, indentation = utils.find_starting_line_and_indent( - doc.metadata["filename"], doc.page_content - ) - - syntax = Syntax( - indentation + doc.page_content, - language.value, - theme="monokai", - line_numbers=True, - start_line=start_line, - indent_guides=True, + if args.action == "app": + subprocess.run(["streamlit", "run", "codeqai/streamlit.py"]) + else: + vector_store, memory, qa = bootstrap(config, repo_name, embeddings_model) + console = Console() + while True: + choice = None + if args.action == "sync": + break + if args.action == "search": + search_pattern = input("πŸ”Ž Enter a search pattern: ") + spinner = yaspin(text="πŸ€– Processing...", color="green") + spinner.start() + similarity_result = vector_store.similarity_search(search_pattern) + spinner.stop() + for doc in similarity_result: + language = utils.get_programming_language( + utils.get_file_extension(doc.metadata["filename"]) + ) + + start_line, indentation = utils.find_starting_line_and_indent( + doc.metadata["filename"], doc.page_content + ) + + syntax = Syntax( + indentation + doc.page_content, + language.value, + theme="monokai", + line_numbers=True, + start_line=start_line, + indent_guides=True, + ) + print( + doc.metadata["filename"] + " -> " + doc.metadata["method_name"] + ) + console.print(syntax) + print() + + choice = input("[?] (C)ontinue search or (E)xit [C]:").strip().lower() + + elif args.action == "chat": + question = input("πŸ’¬ Ask anything about the codebase: ") + spinner = yaspin(text="πŸ€– Processing...", color="green") + spinner.start() + result = qa(question) + spinner.stop() + markdown = Markdown(result["answer"]) + console.print(markdown) + + choice = ( + input("[?] (C)ontinue chat, (R)eset chat or (E)xit [C]:") + .strip() + .lower() ) - print(doc.metadata["filename"] + " -> " + doc.metadata["method_name"]) - console.print(syntax) - print() - - choice = input("[?] (C)ontinue search or (E)xit [C]:").strip().lower() - - elif args.action == "chat": - question = input("πŸ’¬ Ask anything about the codebase: ") - spinner = yaspin(text="πŸ€– Processing...", color="green") - spinner.start() - result = qa(question) - spinner.stop() - markdown = Markdown(result["answer"]) - console.print(markdown) - - choice = ( - input("[?] (C)ontinue chat, (R)eset chat or (E)xit [C]:") - .strip() - .lower() - ) - if choice == "r": - memory.clear() - print("Chat history cleared.") + if choice == "r": + memory.clear() + print("Chat history cleared.") + else: + print("Invalid action.") + exit() - if choice == "" or choice == "c": - continue - elif choice == "e": - break - else: - print("Invalid choice. Please enter 'C', 'E', or 'R'.") + if choice == "" or choice == "c": + continue + elif choice == "e": + break + else: + print("Invalid choice. Please enter 'C', 'E', or 'R'.") diff --git a/codeqai/bootstrap.py b/codeqai/bootstrap.py new file mode 100644 index 0000000..53fff1b --- /dev/null +++ b/codeqai/bootstrap.py @@ -0,0 +1,36 @@ +from langchain.chains import ConversationalRetrievalChain +from langchain.memory import ConversationSummaryMemory + +from codeqai.constants import EmbeddingsModel, LlmHost +from codeqai.embeddings import Embeddings +from codeqai.llm import LLM +from codeqai.vector_store import VectorStore + + +def bootstrap(config, repo_name, embeddings_model=None): + if embeddings_model is None: + embeddings_model = Embeddings( + model=EmbeddingsModel[config["embeddings"].upper().replace("-", "_")], + deployment=( + config["embeddings-deployment"] + if "embeddings-deployment" in config + else None + ), + ) + + vector_store = VectorStore(repo_name, embeddings=embeddings_model.embeddings) + vector_store.load_documents() + + llm = LLM( + llm_host=LlmHost[config["llm-host"].upper().replace("-", "_")], + chat_model=config["chat-model"], + deployment=config["model-deployment"] if "model-deployment" in config else None, + ) + memory = ConversationSummaryMemory( + llm=llm.chat_model, memory_key="chat_history", return_messages=True + ) + qa = ConversationalRetrievalChain.from_llm( + llm.chat_model, retriever=vector_store.retriever, memory=memory + ) + + return vector_store, memory, qa diff --git a/codeqai/llm.py b/codeqai/llm.py index d22791c..1ae5a08 100644 --- a/codeqai/llm.py +++ b/codeqai/llm.py @@ -5,7 +5,7 @@ import inquirer from langchain.callbacks.manager import CallbackManager from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler -from langchain.chat_models import ChatOpenAI, AzureChatOpenAI +from langchain.chat_models import AzureChatOpenAI, ChatOpenAI from langchain.llms import LlamaCpp, Ollama from codeqai import utils @@ -19,13 +19,19 @@ def __init__(self, llm_host: LlmHost, chat_model: str, deployment=None): temperature=0.9, max_tokens=2048, model=chat_model ) elif llm_host == LlmHost.AZURE_OPENAI and deployment: - self.chat_model = AzureChatOpenAI( - openai_api_base=os.getenv("OPENAI_API_BASE"), - temperature=0.9, - max_tokens=2048, - deployment_name=deployment, - model=chat_model, - ) + openai_ap_base = os.getenv("OPENAI_API_BASE") + if openai_ap_base: + self.chat_model = AzureChatOpenAI( + openai_api_base=openai_ap_base, + temperature=0.9, + max_tokens=2048, + deployment_name=deployment, + model=chat_model, + ) + else: + raise ValueError( + "Azure OpenAI requires environment variable OPENAI_API_BASE to be set." + ) elif llm_host == LlmHost.LLAMACPP: self.install_llama_cpp() self.chat_model = LlamaCpp( @@ -81,9 +87,9 @@ def install_llama(backend): elif backend == "Metal": env_vars["CMAKE_ARGS"] = "-DLLAMA_METAL=on" else: # Default to OpenBLAS - env_vars[ - "CMAKE_ARGS" - ] = "-DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS" + env_vars["CMAKE_ARGS"] = ( + "-DLLAMA_BLAS=ON -DLLAMA_BLAS_VENDOR=OpenBLAS" + ) try: subprocess.run( diff --git a/codeqai/repo.py b/codeqai/repo.py index 3f58204..b715c30 100644 --- a/codeqai/repo.py +++ b/codeqai/repo.py @@ -4,6 +4,10 @@ from git.repo import Repo +def repo_name(): + return get_git_root(os.getcwd()).split("/")[-1] + + def get_git_root(path): git_repo = Repo(path, search_parent_directories=True) git_root = git_repo.git.rev_parse("--show-toplevel") diff --git a/codeqai/streamlit.py b/codeqai/streamlit.py new file mode 100644 index 0000000..6743ef5 --- /dev/null +++ b/codeqai/streamlit.py @@ -0,0 +1,99 @@ +import subprocess +import time + +import streamlit as st +from langchain.memory import ConversationSummaryMemory + +from codeqai import codeparser, repo, utils +from codeqai.bootstrap import bootstrap +from codeqai.cache import save_vector_cache +from codeqai.config import load_config + + +def semantic_search(repo_name: str): + st.title("CodeQAI") + st.subheader(f"πŸ”Ž Semantic search in {repo_name}") + input = st.text_input("Enter a search pattern: ") + if input: + similarity_result = vector_store.similarity_search(input) + for doc in similarity_result: + language = utils.get_programming_language( + utils.get_file_extension(doc.metadata["filename"]) + ) + + start_line, indentation = utils.find_starting_line_and_indent( + doc.metadata["filename"], doc.page_content + ) + + st.write(doc.metadata["filename"] + " -> " + doc.metadata["method_name"]) + # TODO add start_line to the code, open PR on streamlit + st.code( + indentation + doc.page_content, + language=language.value, + line_numbers=False, + ) + + +# TODO use artificial stream until added to conversational-retrieval-chain +def stream_response(response: str): + for word in response.split(): + yield word + " " + time.sleep(0.01) + + +def chat(memory: ConversationSummaryMemory, repo_name: str): + st.title("CodeQAI") + st.subheader(f"πŸ’¬ Ask anything about the codebase of {repo_name}") + + if st.button("Clear Chat"): + st.session_state["chat"] = [] + st.session_state.messages = [] + memory.clear() + + # Initialize chat history + if "messages" not in st.session_state: + st.session_state.messages = [] + + # Display chat messages from history on app rerun + for message in st.session_state.messages: + with st.chat_message(message["role"]): + st.markdown(message["content"]) + + # Accept user input + if input := st.chat_input("Start chat..."): + # Add user message to chat history + st.session_state.messages.append({"role": "user", "content": input}) + # Display user message in chat message container + with st.chat_message("user"): + st.markdown(input) + + # Display assistant response in chat message container + with st.chat_message("assistant"): + result = qa(input) + response = st.write_stream(stream_response(result["answer"])) + # Add assistant response to chat history + st.session_state.messages.append({"role": "assistant", "content": response}) + + +config = load_config() +repo_name = repo.repo_name() + +vector_store, memory, qa = bootstrap(config, repo_name) + +selected_chat = st.sidebar.radio("Select Mode", ["Search", "Chat"]) +if st.sidebar.button("Sync with current git checkout"): + files = repo.load_files() + documents = codeparser.parse_code_files(files) + vector_store.sync_documents(documents) + save_vector_cache(vector_store.vector_cache, f"{repo_name}.json") + st.sidebar.write( + "βœ… Synced with git commit hash\n" + + subprocess.run( + ["git", "rev-parse", "HEAD"], stdout=subprocess.PIPE, text=True + ).stdout.strip() + ) + +if selected_chat == "Search": + semantic_search(repo_name) +else: + chat(memory, repo_name) diff --git a/codeqai/utils.py b/codeqai/utils.py index 6bab731..3c60974 100644 --- a/codeqai/utils.py +++ b/codeqai/utils.py @@ -51,7 +51,7 @@ def get_file_extension(file_name: str) -> str: return os.path.splitext(file_name)[-1] -def get_langchain_language(language: Language) -> text_splitter.Language: +def get_langchain_language(language: Language) -> text_splitter.Language | None: if language == Language.PYTHON: return text_splitter.Language.PYTHON elif language == Language.JAVASCRIPT: @@ -71,9 +71,9 @@ def get_langchain_language(language: Language) -> text_splitter.Language: elif language == Language.C_SHARP: return text_splitter.Language.CSHARP elif language == Language.HASKELL: - return text_splitter.Language.HASKELL # PR for Haskell support in text_splitter module - https://github.com/langchain-ai/langchain/pull/16191 + return text_splitter.Language.HASKELL else: - return text_splitter.Language.UNKNOWN + return None def get_bold_text(text): diff --git a/poetry.lock b/poetry.lock index 4285d1c..4547aa4 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,88 +1,88 @@ -# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. 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