refactor package name to knowlang

.vscode/launch.json

@@ -5,7 +5,7 @@
       "name": "Know Lang",
       "type": "debugpy",
       "request": "launch",
-      "module": "know_lang_bot",
+      "module": "knowlang",
       "args": [
         "--v"
       ]
@@ -14,7 +14,7 @@
       "name": "Know Lang ChatBot ",
       "type": "debugpy",
       "request": "launch",
-      "program": "${workspaceFolder}/src/know_lang_bot/chat_bot/gradio_demo.py",
+      "program": "${workspaceFolder}/src/knowlang/chat_bot/gradio_demo.py",
     }
   ]
 }

app.py

@@ -1,8 +1,8 @@
 import requests
 import zipfile
 import io
-from know_lang_bot.chat_bot.chat_interface import create_chatbot
-from know_lang_bot.configs.config import AppConfig
+from knowlang.chat_bot.chat_interface import create_chatbot
+from knowlang.configs.config import AppConfig
 import tempfile
 from rich.console import Console
 

pyproject.toml

@@ -3,7 +3,7 @@ addopts = [
     "--import-mode=importlib",
 ]
 [project]
-name = "know_lang_bot"
+name = "knowlang"
 version = "0.1.0"
 description = ""
 authors = [
@@ -26,7 +26,7 @@ dependencies = [
 
 [tool.poetry]
 packages = [
-    { include = "know_lang_bot", from="src" },
+    { include = "knowlang", from="src" },
 ]
 
 

src/{know_lang_bot → knowlang}/__main__.py

@@ -6,13 +6,13 @@ from typing import List, Optional
 from rich.console import Console
 from rich.table import Table
 
-from know_lang_bot.core.types import CodeChunk
-from know_lang_bot.configs.config import AppConfig
-from know_lang_bot.parser.factory import CodeParserFactory
-from know_lang_bot.parser.providers.git import GitProvider
-from know_lang_bot.parser.providers.filesystem import FilesystemProvider
-from know_lang_bot.summarizer.summarizer import CodeSummarizer
-from know_lang_bot.utils.fancy_log import FancyLogger
+from knowlang.core.types import CodeChunk
+from knowlang.configs.config import AppConfig
+from knowlang.parser.factory import CodeParserFactory
+from knowlang.parser.providers.git import GitProvider
+from knowlang.parser.providers.filesystem import FilesystemProvider
+from knowlang.summarizer.summarizer import CodeSummarizer
+from knowlang.utils.fancy_log import FancyLogger
 
 LOG = FancyLogger(__name__)
 console = Console()

src/{know_lang_bot → knowlang}/chat_bot/__main__.py

@@ -1,5 +1,5 @@
-from know_lang_bot.configs.config import AppConfig
-from know_lang_bot.chat_bot.chat_graph import process_chat
+from knowlang.configs.config import AppConfig
+from knowlang.chat_bot.chat_graph import process_chat
 import chromadb
 import asyncio
 

src/{know_lang_bot → knowlang}/chat_bot/chat_graph.py

@@ -5,16 +5,16 @@ from typing import AsyncGenerator, List, Dict, Any, Optional
 import chromadb
 from pydantic import BaseModel
 from pydantic_graph import BaseNode, EndStep, Graph, GraphRunContext, End, HistoryStep
-from know_lang_bot.configs.config import AppConfig, RerankerConfig, EmbeddingConfig
-from know_lang_bot.utils.fancy_log import FancyLogger
+from knowlang.configs.config import AppConfig, RerankerConfig, EmbeddingConfig
+from knowlang.utils.fancy_log import FancyLogger
 from pydantic_ai import Agent
 import logfire
 from pprint import pformat
 from enum import Enum
 from rich.console import Console
-from know_lang_bot.utils.model_provider import create_pydantic_model
-from know_lang_bot.utils.chunking_util import truncate_chunk
-from know_lang_bot.models.embeddings import EmbeddingInputType, generate_embedding
+from knowlang.utils.model_provider import create_pydantic_model
+from knowlang.utils.chunking_util import truncate_chunk
+from knowlang.models.embeddings import EmbeddingInputType, generate_embedding
 import voyageai
 from voyageai.object.reranking import RerankingObject
 

src/{know_lang_bot → knowlang}/chat_bot/chat_interface.py

@@ -1,11 +1,11 @@
 from dataclasses import dataclass
 import gradio as gr
-from know_lang_bot.configs.chat_config import ChatConfig
-from know_lang_bot.configs.config import AppConfig
-from know_lang_bot.utils.fancy_log import FancyLogger
-from know_lang_bot.utils.rate_limiter import RateLimiter
-from know_lang_bot.chat_bot.chat_graph import stream_chat_progress, ChatStatus
-from know_lang_bot.chat_bot.feedback import ChatAnalytics
+from knowlang.configs.chat_config import ChatConfig
+from knowlang.configs.config import AppConfig
+from knowlang.utils.fancy_log import FancyLogger
+from knowlang.utils.rate_limiter import RateLimiter
+from knowlang.chat_bot.chat_graph import stream_chat_progress, ChatStatus
+from knowlang.chat_bot.feedback import ChatAnalytics
 import chromadb
 from typing import List, Dict, AsyncGenerator
 from pathlib import Path

src/{know_lang_bot → knowlang}/chat_bot/feedback.py

@@ -1,7 +1,7 @@
 from mixpanel import Mixpanel
 from datetime import datetime
 from enum import Enum
-from know_lang_bot.configs.chat_config import ChatbotAnalyticsConfig
+from knowlang.configs.chat_config import ChatbotAnalyticsConfig
 
 class ChatFeedback(Enum):
     POSITIVE = "positive"

src/{know_lang_bot → knowlang}/chat_bot/gradio_demo.py

@@ -1,5 +1,5 @@
-from know_lang_bot.chat_bot.chat_interface import create_chatbot
-from know_lang_bot.configs.config import AppConfig
+from knowlang.chat_bot.chat_interface import create_chatbot
+from knowlang.configs.config import AppConfig
 
 
 config = AppConfig()

src/{know_lang_bot → knowlang}/configs/config.py

@@ -3,8 +3,8 @@ from pydantic_settings import BaseSettings, SettingsConfigDict
 from pydantic import Field, field_validator, ValidationInfo
 from pathlib import Path
 import fnmatch
-from know_lang_bot.core.types import ModelProvider
-from know_lang_bot.configs.chat_config import ChatConfig, ChatbotAnalyticsConfig
+from knowlang.core.types import ModelProvider
+from knowlang.configs.chat_config import ChatConfig, ChatbotAnalyticsConfig
 import os
 
 def _validate_api_key(v: Optional[str], info: ValidationInfo) -> Optional[str]:

src/{know_lang_bot → knowlang}/evaluation/chatbot_evaluation.py

@@ -2,10 +2,10 @@ from typing import List
 from enum import Enum
 from pydantic import BaseModel, Field, computed_field
 from pydantic_ai import Agent
-from know_lang_bot.configs.config import AppConfig
-from know_lang_bot.utils.chunking_util import truncate_chunk
-from know_lang_bot.utils.model_provider import create_pydantic_model
-from know_lang_bot.chat_bot.chat_graph import ChatResult, process_chat
+from knowlang.configs.config import AppConfig
+from knowlang.utils.chunking_util import truncate_chunk
+from knowlang.utils.model_provider import create_pydantic_model
+from knowlang.chat_bot.chat_graph import ChatResult, process_chat
 import asyncio
 import datetime
 from pathlib import Path

src/{know_lang_bot → knowlang}/evaluation/chatbot_evaluation_visualize.py

@@ -5,7 +5,7 @@ from rich.console import Console
 from rich.table import Table
 from typing import List, Dict
 from enum import Enum
-from know_lang_bot.evaluation.chatbot_evaluation import EvalSummary
+from knowlang.evaluation.chatbot_evaluation import EvalSummary
 
 class RetrievalMethod(str, Enum):
     EMBEDDING = "embedding"

src/{know_lang_bot → knowlang}/evaluation/embedding_evaluation.py

@@ -6,11 +6,11 @@ import chromadb
 import numpy as np
 from pydantic import BaseModel
 from dataclasses import dataclass
-from know_lang_bot.chat_bot.chat_graph import ChatResult
-from know_lang_bot.configs.config import AppConfig, EmbeddingConfig
+from knowlang.chat_bot.chat_graph import ChatResult
+from knowlang.configs.config import AppConfig, EmbeddingConfig
 import json
-from know_lang_bot.evaluation.chatbot_evaluation import EvalCase, TRANSFORMER_TEST_CASES
-from know_lang_bot.models.embeddings import EmbeddingInputType, generate_embedding, EmbeddingVector
+from knowlang.evaluation.chatbot_evaluation import EvalCase, TRANSFORMER_TEST_CASES
+from knowlang.models.embeddings import EmbeddingInputType, generate_embedding, EmbeddingVector
 
 @dataclass
 class ConfigEvalResult:

src/{know_lang_bot → knowlang}/models/batch_request.py

@@ -1,5 +1,5 @@
 from typing import List
-from know_lang_bot.configs.config import ModelProvider, LLMConfig
+from knowlang.configs.config import ModelProvider, LLMConfig
 from pydantic_ai.messages import ModelMessage
 
 def _process_anthropic_batch(batched_input: List[List[ModelMessage]], config: LLMConfig) -> List[str]:

src/{know_lang_bot → knowlang}/models/embeddings.py

@@ -2,7 +2,7 @@ import ollama
 import openai
 import voyageai
 import voyageai.client
-from know_lang_bot.configs.config import EmbeddingConfig, ModelProvider
+from knowlang.configs.config import EmbeddingConfig, ModelProvider
 from typing import Union, List, overload, Optional
 from enum import Enum
 

src/{know_lang_bot → knowlang}/parser/base/parser.py

@@ -1,8 +1,8 @@
 from abc import ABC, abstractmethod
 from typing import List
 from pathlib import Path
-from know_lang_bot.core.types import CodeChunk
-from know_lang_bot.configs.config import AppConfig, LanguageConfig
+from knowlang.core.types import CodeChunk
+from knowlang.configs.config import AppConfig, LanguageConfig
 from tree_sitter import Language, Parser
 
 class LanguageParser(ABC):

src/{know_lang_bot → knowlang}/parser/base/provider.py

@@ -1,7 +1,7 @@
 from abc import ABC, abstractmethod
 from typing import Generator
 from pathlib import Path
-from know_lang_bot.configs.config import AppConfig
+from knowlang.configs.config import AppConfig
 
 class CodeProvider(ABC):
     """Abstract base class for code source providers"""

src/{know_lang_bot → knowlang}/parser/factory.py

@@ -1,9 +1,9 @@
 from typing import Dict, Type, Optional
 from pathlib import Path
 
-from know_lang_bot.parser.base.parser import LanguageParser
-from know_lang_bot.parser.languages.python.parser import PythonParser
-from know_lang_bot.configs.config import AppConfig
+from knowlang.parser.base.parser import LanguageParser
+from knowlang.parser.languages.python.parser import PythonParser
+from knowlang.configs.config import AppConfig
 
 class CodeParserFactory():
     """Concrete implementation of parser factory"""

src/{know_lang_bot → knowlang}/parser/languages/python/parser.py

@@ -3,9 +3,9 @@ from pathlib import Path
 import tree_sitter_python
 from tree_sitter import Language, Parser, Node
 
-from know_lang_bot.parser.base.parser import LanguageParser
-from know_lang_bot.core.types import CodeChunk, ChunkType
-from know_lang_bot.utils.fancy_log import FancyLogger
+from knowlang.parser.base.parser import LanguageParser
+from knowlang.core.types import CodeChunk, ChunkType
+from knowlang.utils.fancy_log import FancyLogger
 
 LOG = FancyLogger(__name__)
 

src/{know_lang_bot → knowlang}/parser/providers/filesystem.py

@@ -1,7 +1,7 @@
 from pathlib import Path
 from typing import Generator
-from know_lang_bot.configs.config import AppConfig
-from know_lang_bot.parser.base.provider import CodeProvider
+from knowlang.configs.config import AppConfig
+from knowlang.parser.base.provider import CodeProvider
 import os
 
 class FilesystemProvider(CodeProvider):

src/{know_lang_bot → knowlang}/parser/providers/git.py

@@ -1,8 +1,8 @@
 from pathlib import Path
 from typing import Generator
 from git import Repo
-from know_lang_bot.configs.config import AppConfig
-from know_lang_bot.parser.base.provider import CodeProvider
+from knowlang.configs.config import AppConfig
+from knowlang.parser.base.provider import CodeProvider
 import os
 
 

src/{know_lang_bot → knowlang}/summarizer/summarizer.py

@@ -6,11 +6,11 @@ from pydantic import BaseModel, Field
 from pprint import pformat
 from rich.progress import Progress
 
-from know_lang_bot.configs.config import AppConfig
-from know_lang_bot.core.types import CodeChunk, ModelProvider
-from know_lang_bot.utils.fancy_log import FancyLogger
-from know_lang_bot.utils.model_provider import create_pydantic_model
-from know_lang_bot.models.embeddings import generate_embedding
+from knowlang.configs.config import AppConfig
+from knowlang.core.types import CodeChunk, ModelProvider
+from knowlang.utils.fancy_log import FancyLogger
+from knowlang.utils.model_provider import create_pydantic_model
+from knowlang.models.embeddings import generate_embedding
 
 LOG = FancyLogger(__name__)
 

src/{know_lang_bot → knowlang}/utils/migration/openai_embedding_migrations.py

@@ -8,9 +8,9 @@ from rich.console import Console
 from typing import List, Dict, Optional
 from openai import OpenAI
 from datetime import datetime
-from know_lang_bot.configs.config import AppConfig
-from know_lang_bot.utils.fancy_log import FancyLogger
-from know_lang_bot.utils.chunking_util import truncate_chunk
+from knowlang.configs.config import AppConfig
+from knowlang.utils.fancy_log import FancyLogger
+from knowlang.utils.chunking_util import truncate_chunk
 
 LOG = FancyLogger(__name__)
 console = Console()

src/{know_lang_bot → knowlang}/utils/migration/voyage_embedding_migraions.py

@@ -5,9 +5,9 @@ from chromadb.errors import InvalidCollectionException
 from rich.progress import Progress
 from rich.console import Console
 from typing import List
-from know_lang_bot.configs.config import AppConfig, EmbeddingConfig
-from know_lang_bot.models.embeddings import generate_embedding, EmbeddingInputType
-from know_lang_bot.utils.fancy_log import FancyLogger
+from knowlang.configs.config import AppConfig, EmbeddingConfig
+from knowlang.models.embeddings import generate_embedding, EmbeddingInputType
+from knowlang.utils.fancy_log import FancyLogger
 
 LOG = FancyLogger(__name__)
 console = Console()

src/{know_lang_bot → knowlang}/utils/model_provider.py

@@ -1,5 +1,5 @@
 from pydantic_ai.models import Model, KnownModelName
-from know_lang_bot.core.types import ModelProvider
+from knowlang.core.types import ModelProvider
 from typing import get_args
 
 def create_pydantic_model(
@@ -11,7 +11,7 @@ def create_pydantic_model(
     if model_str in get_args(KnownModelName):
         return model_str
     elif model_provider == ModelProvider.HUGGINGFACE:
-        from know_lang_bot.models.huggingface import HuggingFaceModel
+        from knowlang.models.huggingface import HuggingFaceModel
         return HuggingFaceModel(model_name=model_name)
     elif model_provider == ModelProvider.TESTING:
         # should be used for testing purposes only

tests/conftest.py

@@ -3,8 +3,8 @@ import tempfile
 import git
 from pathlib import Path
 from typing import Dict
-from know_lang_bot.configs.config import AppConfig, ParserConfig, LanguageConfig
-from know_lang_bot.parser.languages.python.parser import PythonParser
+from knowlang.configs.config import AppConfig, ParserConfig, LanguageConfig
+from knowlang.parser.languages.python.parser import PythonParser
 from tests.test_data.python_files import TEST_FILES
 
 @pytest.fixture

tests/parser/test_python_parser.py

@@ -1,6 +1,6 @@
 import pytest
 from pathlib import Path
-from know_lang_bot.core.types import ChunkType
+from knowlang.core.types import ChunkType
 from tests.test_data.python_files import (
     TEST_FILES,
     INVALID_SYNTAX, 
@@ -8,8 +8,8 @@ from tests.test_data.python_files import (
     NESTED_CLASS_EXPECTATIONS,
     COMPLEX_FILE_EXPECTATIONS
 )
-from know_lang_bot.core.types import CodeChunk
-from know_lang_bot.parser.languages.python.parser import PythonParser
+from knowlang.core.types import CodeChunk
+from knowlang.parser.languages.python.parser import PythonParser
 from typing import List
 import tempfile
 

tests/test_summarizer.py

@@ -2,9 +2,9 @@ import pytest
 import tempfile
 from unittest.mock import Mock, patch, AsyncMock
 from pathlib import Path
-from know_lang_bot.summarizer.summarizer import CodeSummarizer
-from know_lang_bot.core.types import CodeChunk, ChunkType
-from know_lang_bot.configs.config import AppConfig
+from knowlang.summarizer.summarizer import CodeSummarizer
+from knowlang.core.types import CodeChunk, ChunkType
+from knowlang.configs.config import AppConfig
 
 @pytest.fixture
 def config():
@@ -52,7 +52,7 @@ def mock_run_result(mock_summary):
     return mock_result
 
 @pytest.mark.asyncio
-@patch('know_lang_bot.summarizer.summarizer.Agent')
+@patch('knowlang.summarizer.summarizer.Agent')
 async def test_summarize_chunk(mock_agent_class, config: AppConfig, sample_chunks: list[CodeChunk], mock_run_result: Mock):
     """Test summarizing a single chunk"""
     # Setup the mock agent instance
@@ -71,7 +71,7 @@ async def test_summarize_chunk(mock_agent_class, config: AppConfig, sample_chunk
     assert "def hello()" in call_args
     assert "Says hello" in call_args
 
-@patch('know_lang_bot.summarizer.summarizer.Agent')
+@patch('knowlang.summarizer.summarizer.Agent')
 def test_chromadb_initialization(mock_agent_class, config: AppConfig):
     """Test ChromaDB initialization"""
     mock_agent = mock_agent_class.return_value
@@ -85,8 +85,8 @@ def test_chromadb_initialization(mock_agent_class, config: AppConfig):
     assert new_summarizer.collection is not None
 
 @pytest.mark.asyncio
-@patch('know_lang_bot.summarizer.summarizer.generate_embedding')
-@patch('know_lang_bot.summarizer.summarizer.Agent')
+@patch('knowlang.summarizer.summarizer.generate_embedding')
+@patch('knowlang.summarizer.summarizer.Agent')
 async def test_process_and_store_chunk_with_embedding(
     mock_agent_class, 
     mock_embedding_generator,