replace eval by litteral eval

climateqa/engine/chains/retrieve_documents.py

@@ -21,7 +21,7 @@ from langchain_core.prompts import ChatPromptTemplate
 from langchain_core.output_parsers import StrOutputParser
 from ..vectorstore import get_pinecone_vectorstore
 from ..embeddings import get_embeddings_function
-
+import ast
 
 import asyncio
 
@@ -580,7 +580,7 @@ async def get_relevant_toc_level_for_query(
     response = chain.invoke({"query": query, "doc_list": doc_list})
 
     try: 
-        relevant_tocs = eval(response)
+        relevant_tocs = ast.literal_eval(response)
     except Exception as e:
         print(f" Failed to parse the result because of : {e}")
 

climateqa/engine/talk_to_data/input_processing.py

@@ -11,6 +11,7 @@ from climateqa.engine.talk_to_data.objects.location import Location
 from climateqa.engine.talk_to_data.objects.plot import Plot
 from climateqa.engine.talk_to_data.objects.states import State
 import time
+import ast
 
 async def detect_location_with_openai(sentence: str) -> str:
     """
@@ -114,7 +115,7 @@ async def detect_year_with_openai(sentence: str) -> str:
     structured_llm = llm.with_structured_output(ArrayOutput)
     chain = prompt | structured_llm
     response: ArrayOutput = await chain.ainvoke({"sentence": sentence})
-    years_list = eval(response['array'])
+    years_list = ast.literal_eval(response['array'])
     if len(years_list) > 0:
         return years_list[0]
     else: