Update deps

Author: BenConstable9

text_2_sql/data_dictionary/README.md

@@ -93,14 +93,14 @@ A full data dictionary must be built for all the views / tables you which to exp
 
 Manually creating the `entities.json` is a time consuming exercise. To speed up generation, a mixture of SQL Queries and an LLM can be used to generate a initial version. Existing comments and descriptions in the database, can be combined with sample values to generate the necessary descriptions. Manual input can then be used to tweak it for the use case and any improvements.
 
-`data_dictionary_creator.py` contains a utility class that handles the automatic generation and selection of schemas from the source SQL database. It must be subclassed to the appropriate engine to handle engine specific queries and connection details.
+`./text_2_sql_core/data_dictionary/data_dictionary_creator.py` contains a utility class that handles the automatic generation and selection of schemas from the source SQL database. It must be subclassed to the appropriate engine to handle engine specific queries and connection details.
 
 See `./generated_samples/` for an example output of the script. This can then be automatically indexed with the provided indexer for the **Vector-Based Approach**.
 
 The following Databases have pre-built scripts for them:
 
-- **Databricks:** `databricks_data_dictionary_creator.py`
-- **Snowflake:** `snowflake_data_dictionary_creator.py`
-- **TSQL:** `tsql_data_dictionary_creator.py`
+- **Databricks:** `./text_2_sql_core/data_dictionary/databricks_data_dictionary_creator.py`
+- **Snowflake:** `./text_2_sql_core/data_dictionary/snowflake_data_dictionary_creator.py`
+- **TSQL:** `./text_2_sql_core/data_dictionary/tsql_data_dictionary_creator.py`
 
 If there is no pre-built script for your database engine, take one of the above as a starting point and adjust it.

text_2_sql/data_dictionary/requirements.txt

@@ -5,7 +5,7 @@
 from azure.core.credentials import AzureKeyCredential
 from azure.search.documents.models import VectorizedQuery
 from azure.search.documents.aio import SearchClient
-from environment import IdentityType, get_identity_type
+from text_2_sql_core.utils.environment import IdentityType, get_identity_type
 import os
 import logging
 import base64

text_2_sql/text_2_sql_core/src/text_2_sql_core/connectors/ai_search.py

@@ -4,7 +4,7 @@
 import os
 import aioodbc
 from typing import Annotated, Union
-from utils.ai_search import AISearchHelper
+from text_2_sql_core.connectors.ai_search import AISearchHelper
 import json
 import asyncio
 import sqlglot