Lint and formatting fixes

embedchain/bots/__init__.py

@@ -1,4 +1,5 @@
-from embedchain.bots.poe import PoeBot
-from embedchain.bots.whatsapp import WhatsAppBot
+from embedchain.bots.poe import PoeBot  # noqa: F401
+from embedchain.bots.whatsapp import WhatsAppBot  # noqa: F401
+
 # TODO: fix discord import
-# from embedchain.bots.discord import DiscordBot
+# from embedchain.bots.discord import DiscordBot

embedchain/bots/whatsapp.py

@@ -1,4 +1,5 @@
 import argparse
+import importlib
 import logging
 import signal
 import sys
@@ -11,8 +12,14 @@
 @register_deserializable
 class WhatsAppBot(BaseBot):
     def __init__(self):
-        from flask import Flask, request
-        from twilio.twiml.messaging_response import MessagingResponse
+        try:
+            self.flask = importlib.import_module("flask")
+            self.twilio = importlib.import_module("twilio")
+        except ModuleNotFoundError:
+            raise ModuleNotFoundError(
+                "The required dependencies for WhatsApp are not installed. "
+                'Please install with `pip install --upgrade "embedchain[whatsapp]"`'
+            ) from None
         super().__init__()
 
     def handle_message(self, message):
@@ -41,7 +48,7 @@ def ask_bot(self, message):
         return response
 
     def start(self, host="0.0.0.0", port=5000, debug=True):
-        app = Flask(__name__)
+        app = self.flask.Flask(__name__)
 
         def signal_handler(sig, frame):
             logging.info("\nGracefully shutting down the WhatsAppBot...")
@@ -51,9 +58,9 @@ def signal_handler(sig, frame):
 
         @app.route("/chat", methods=["POST"])
         def chat():
-            incoming_message = request.values.get("Body", "").lower()
+            incoming_message = self.flask.request.values.get("Body", "").lower()
             response = self.handle_message(incoming_message)
-            twilio_response = MessagingResponse()
+            twilio_response = self.twilio.twiml.messaging_response.MessagingResponse()
             twilio_response.message(response)
             return str(twilio_response)
 

embedchain/embedchain.py

@@ -82,7 +82,7 @@ def __init__(
         # Send anonymous telemetry
         self.s_id = self.config.id if self.config.id else str(uuid.uuid4())
         self.u_id = self._load_or_generate_user_id()
-        # NOTE: Uncomment the next two lines when running tests to see if any test fires a telemetry event. 
+        # NOTE: Uncomment the next two lines when running tests to see if any test fires a telemetry event.
         # if (self.config.collect_metrics):
         #     raise ConnectionRefusedError("Collection of metrics should not be allowed.")
         thread_telemetry = threading.Thread(target=self._send_telemetry_event, args=("init",))

embedchain/llm/antrophic_llm.py

@@ -2,9 +2,8 @@
 from typing import Optional
 
 from embedchain.config import BaseLlmConfig
-from embedchain.llm.base_llm import BaseLlm
-
 from embedchain.helper_classes.json_serializable import register_deserializable
+from embedchain.llm.base_llm import BaseLlm
 
 
 @register_deserializable

embedchain/llm/azure_openai_llm.py

@@ -2,9 +2,8 @@
 from typing import Optional
 
 from embedchain.config import BaseLlmConfig
-from embedchain.llm.base_llm import BaseLlm
-
 from embedchain.helper_classes.json_serializable import register_deserializable
+from embedchain.llm.base_llm import BaseLlm
 
 
 @register_deserializable

embedchain/llm/base_llm.py

@@ -3,12 +3,12 @@
 
 from langchain.memory import ConversationBufferMemory
 from langchain.schema import BaseMessage
-from embedchain.helper_classes.json_serializable import JSONSerializable
 
 from embedchain.config import BaseLlmConfig
 from embedchain.config.llm.base_llm_config import (
     DEFAULT_PROMPT, DEFAULT_PROMPT_WITH_HISTORY_TEMPLATE,
     DOCS_SITE_PROMPT_TEMPLATE)
+from embedchain.helper_classes.json_serializable import JSONSerializable
 
 
 class BaseLlm(JSONSerializable):

embedchain/llm/gpt4all_llm.py

@@ -1,9 +1,8 @@
 from typing import Iterable, Optional, Union
 
 from embedchain.config import BaseLlmConfig
-from embedchain.llm.base_llm import BaseLlm
-
 from embedchain.helper_classes.json_serializable import register_deserializable
+from embedchain.llm.base_llm import BaseLlm
 
 
 @register_deserializable

embedchain/llm/llama2_llm.py

@@ -4,9 +4,8 @@
 from langchain.llms import Replicate
 
 from embedchain.config import BaseLlmConfig
-from embedchain.llm.base_llm import BaseLlm
-
 from embedchain.helper_classes.json_serializable import register_deserializable
+from embedchain.llm.base_llm import BaseLlm
 
 
 @register_deserializable

embedchain/llm/openai_llm.py

@@ -3,9 +3,8 @@
 import openai
 
 from embedchain.config import BaseLlmConfig
-from embedchain.llm.base_llm import BaseLlm
-
 from embedchain.helper_classes.json_serializable import register_deserializable
+from embedchain.llm.base_llm import BaseLlm
 
 
 @register_deserializable

embedchain/llm/vertex_ai_llm.py

@@ -2,9 +2,8 @@
 from typing import Optional
 
 from embedchain.config import BaseLlmConfig
-from embedchain.llm.base_llm import BaseLlm
-
 from embedchain.helper_classes.json_serializable import register_deserializable
+from embedchain.llm.base_llm import BaseLlm
 
 
 @register_deserializable

tests/llm/test_chat.py

@@ -1,7 +1,6 @@
-
 import os
 import unittest
-from unittest.mock import patch, MagicMock
+from unittest.mock import MagicMock, patch
 
 from embedchain import App
 from embedchain.config import AppConfig, BaseLlmConfig
@@ -88,8 +87,8 @@ def test_chat_with_where_in_params(self):
 
         self.assertEqual(answer, "Test answer")
         _args, kwargs = mock_retrieve.call_args
-        self.assertEqual(kwargs.get('input_query'), "Test query")
-        self.assertEqual(kwargs.get('where'), {"attribute": "value"})
+        self.assertEqual(kwargs.get("input_query"), "Test query")
+        self.assertEqual(kwargs.get("where"), {"attribute": "value"})
         mock_answer.assert_called_once()
 
     @patch("chromadb.api.models.Collection.Collection.add", MagicMock)
@@ -120,6 +119,6 @@ def test_chat_with_where_in_chat_config(self):
 
         self.assertEqual(answer, "Test answer")
         _args, kwargs = mock_database_query.call_args
-        self.assertEqual(kwargs.get('input_query'), "Test query")
-        self.assertEqual(kwargs.get('where'), {"attribute": "value"})
+        self.assertEqual(kwargs.get("input_query"), "Test query")
+        self.assertEqual(kwargs.get("where"), {"attribute": "value"})
         mock_answer.assert_called_once()

tests/llm/test_query.py

@@ -109,8 +109,8 @@ def test_query_with_where_in_params(self):
 
         self.assertEqual(answer, "Test answer")
         _args, kwargs = mock_retrieve.call_args
-        self.assertEqual(kwargs.get('input_query'), "Test query")
-        self.assertEqual(kwargs.get('where'), {"attribute": "value"})
+        self.assertEqual(kwargs.get("input_query"), "Test query")
+        self.assertEqual(kwargs.get("where"), {"attribute": "value"})
         mock_answer.assert_called_once()
 
     @patch("chromadb.api.models.Collection.Collection.add", MagicMock)
@@ -142,6 +142,6 @@ def test_query_with_where_in_query_config(self):
 
         self.assertEqual(answer, "Test answer")
         _args, kwargs = mock_database_query.call_args
-        self.assertEqual(kwargs.get('input_query'), "Test query")
-        self.assertEqual(kwargs.get('where'), {"attribute": "value"})
+        self.assertEqual(kwargs.get("input_query"), "Test query")
+        self.assertEqual(kwargs.get("where"), {"attribute": "value"})
         mock_answer.assert_called_once()

tests/vectordb/test_chroma_db.py

@@ -7,7 +7,6 @@
 
 from embedchain import App
 from embedchain.config import AppConfig, ChromaDbConfig
-from embedchain.models import EmbeddingFunctions, Providers
 from embedchain.vectordb.chroma_db import ChromaDB
 
 
@@ -86,7 +85,6 @@ def test_init_with_host_and_port_log_level(self, mock_client):
         """
         Test if the `App` instance is initialized without a config that does not contain default hosts and ports.
         """
-        config = AppConfig(log_level="DEBUG")
 
         _app = App(config=AppConfig(collect_metrics=False))