Fix Dockerfile build issue

autorag/nodes/promptmaker/fstring.py

@@ -0,0 +1,49 @@
+from typing import List
+
+import pandas as pd
+
+from autorag.nodes.promptmaker.base import BasePromptMaker
+from autorag.utils import result_to_dataframe
+
+
+class Fstring(BasePromptMaker):
+	@result_to_dataframe(["prompts"])
+	def pure(self, previous_result: pd.DataFrame, *args, **kwargs):
+		query, retrieved_contents, prompt = self.cast_to_run(
+			previous_result, *args, **kwargs
+		)
+		return self._pure(prompt, query, retrieved_contents)
+
+	def _pure(
+		self, prompt: str, queries: List[str], retrieved_contents: List[List[str]]
+	) -> List[str]:
+		"""
+		Make a prompt using f-string from a query and retrieved_contents.
+		You must type a prompt or prompt list at a config YAML file like this:
+
+		.. Code:: yaml
+		nodes:
+		- node_type: prompt_maker
+		  modules:
+		  - module_type: fstring
+			prompt: [Answer this question: {query} \n\n {retrieved_contents},
+			Read the passages carefully and answer this question: {query} \n\n Passages: {retrieved_contents}]
+
+		:param prompt: A prompt string.
+		:param queries: List of query strings.
+		:param retrieved_contents: List of retrieved contents.
+		:return: Prompts that are made by f-string.
+		"""
+
+		def fstring_row(
+			_prompt: str, _query: str, _retrieved_contents: List[str]
+		) -> str:
+			contents_str = "\n\n".join(_retrieved_contents)
+			return _prompt.format(query=_query, retrieved_contents=contents_str)
+
+		return list(
+			map(
+				lambda x: fstring_row(prompt, x[0], x[1]),
+				zip(queries, retrieved_contents),
+			)
+		)