add arguments for scripts

apps/1_call_azure_openai_chat/query_image.py

@@ -9,9 +9,8 @@
 
 def init_args() -> argparse.Namespace:
     parser = argparse.ArgumentParser(
-        prog="ProgramName",
-        description="What the program does",
-        epilog="Text at the bottom of help",
+        prog="query_image",
+        description="Query Azure OpenAI Chat with an image",
     )
     parser.add_argument("-f", "--file")
     parser.add_argument("-s", "--system", default="You are a professional image analyst. Describe the image.")

apps/6_call_azure_ai_search/1_create_index.py

@@ -1,3 +1,5 @@
+import argparse
+import logging
 from os import getenv
 from pprint import pprint
 
@@ -7,10 +9,15 @@
 from langchain_text_splitters import RecursiveCharacterTextSplitter
 
 
-def load_texts() -> list:
-    # for simplicity, hardcoding the path to the text file
-    with open("./datasets/contoso_rules.csv") as f:
-        return f.readlines()
+def init_args() -> argparse.Namespace:
+    parser = argparse.ArgumentParser(
+        prog="create_index",
+        description="Create an index in Azure AI Search",
+    )
+    parser.add_argument("-f", "--file", default="./datasets/contoso_rules.csv")
+    parser.add_argument("-i", "--index-name", default="contoso-rules")
+    parser.add_argument("-v", "--verbose", action="store_true")
+    return parser.parse_args()
 
 
 if __name__ == "__main__":
@@ -19,10 +26,21 @@ def load_texts() -> list:
         - Embed text with Azure OpenAI Service
         - Index text with Azure AI Search
     """
+    args = init_args()
+
+    # Set verbose mode
+    if args.verbose:
+        logging.basicConfig(level=logging.DEBUG)
+
     load_dotenv()
 
     # Get documents
-    texts = load_texts()
+    try:
+        with open(args.file) as f:
+            texts = f.readlines()
+    except Exception as e:
+        print(e)
+        exit(1)
 
     # Split text into chunks
     # https://python.langchain.com/v0.2/docs/how_to/recursive_text_splitter/
@@ -51,7 +69,7 @@ def load_texts() -> list:
     search = AzureSearch(
         azure_search_endpoint=getenv("AZURE_AI_SEARCH_ENDPOINT"),
         azure_search_key=getenv("AZURE_AI_SEARCH_API_KEY"),
-        index_name=getenv("AZURE_AI_SEARCH_INDEX_NAME"),
+        index_name=args.index_name,
         embedding_function=embeddings.embed_query,
         additional_search_client_options={
             "retry_total": 4,

apps/6_call_azure_ai_search/2_search_index.py → apps/6_call_azure_ai_search/2_search_docs.py

@@ -1,13 +1,33 @@
+import argparse
+import logging
 from os import getenv
 
 from dotenv import load_dotenv
 from langchain_community.vectorstores.azuresearch import AzureSearch
 from langchain_openai import AzureOpenAIEmbeddings
 
+
+def init_args() -> argparse.Namespace:
+    parser = argparse.ArgumentParser(
+        prog="search_docs",
+        description="Search for documents in Azure AI Search",
+    )
+    parser.add_argument("-i", "--index-name", default="contoso-rules")
+    parser.add_argument("-q", "--query", default="meetings")
+    parser.add_argument("-v", "--verbose", action="store_true")
+    return parser.parse_args()
+
+
 if __name__ == "__main__":
     """
     Search for documents in Azure AI Search
     """
+    args = init_args()
+
+    # Set verbose mode
+    if args.verbose:
+        logging.basicConfig(level=logging.DEBUG)
+
     load_dotenv()
 
     embeddings = AzureOpenAIEmbeddings(
@@ -20,7 +40,7 @@
     vector_store = AzureSearch(
         azure_search_endpoint=getenv("AZURE_AI_SEARCH_ENDPOINT"),
         azure_search_key=getenv("AZURE_AI_SEARCH_API_KEY"),
-        index_name=getenv("AZURE_AI_SEARCH_INDEX_NAME"),
+        index_name=args.index_name,
         embedding_function=embeddings.embed_query,
         additional_search_client_options={
             "retry_total": 4,
@@ -29,7 +49,7 @@
 
     # search for documents
     results = vector_store.hybrid_search(
-        query="meetings",
+        query=args.query,
         k=3,
     )
     for result in results:

apps/6_call_azure_ai_search/README.md

@@ -73,13 +73,22 @@ Create an index in Azure AI Search and upload documents:
 > This script should be run only once to avoid creating duplicate indexes.
 
 ```shell
-$ python apps/6_call_azure_ai_search/1_create_index.py
+$ INDEX_NAME=yourindexname
+$ FILE=./datasets/yourfile.csv
+$ python apps/6_call_azure_ai_search/1_create_index.py \
+  --index-name $INDEX_NAME \
+  --file $FILE \
+  --verbose
 ```
 
 Search documents in Azure AI Search:
 
 ```shell
-$ python apps/6_call_azure_ai_search/2_search_index.py
+$ INDEX_NAME=yourindexname
+$ python apps/6_call_azure_ai_search/2_search_docs.py \
+  --index-name $INDEX_NAME \
+  --query "meeting" \
+  --verbose
 
 > All meetings must include a 5-minute meditation session.
 > All meetings must begin with a joke.