Merge c0dda07665 into b61eb743c0

Comprehensive update to the PromptFinder script, introducing several key enhancements:

- Implemented case-insensitive and partial match search in the 'act' column for more flexible user queries.
- Added automatic selection for a single search result to streamline the user experience.
- Improved the display of multiple search results to include both 'act' and 'prompt' values, providing users with clear context for each choice.
- Integrated KeyboardInterrupt handling to gracefully handle user interruptions and ensure a clean exit from the script.

These changes significantly improve the script's usability and robustness, offering a more user-friendly and reliable experience.

scripts/find-prompt.py

@@ -0,0 +1,89 @@
+#!/usr/bin/python
+# -*- coding: utf-8 -*-
+
+import os
+import sys
+
+import pandas as pd
+
+
+class PromptFinder:
+    """
+    A class to search for prompts based on a given action from a CSV file.
+    """
+
+    def __init__(self, csv_file_path=None):
+        """
+        Initialize the PromptFinder with a CSV file path.
+        """
+        self.csv_file_path = csv_file_path or self.get_default_csv_path()
+        if self.csv_file_path is None:
+            sys.exit("Error: CSV file not found in default paths or specified path.")
+        try:
+            self.df = pd.read_csv(self.csv_file_path)
+        except FileNotFoundError:
+            sys.exit(f"Error: CSV file '{self.csv_file_path}' not found.")
+
+    @staticmethod
+    def get_default_csv_path():
+        """
+        Returns the first existing default CSV path, or None if none found.
+        """
+        default_paths = ["../prompts.csv", "./prompts.csv"]
+        return next((path for path in default_paths if os.path.exists(path)), None)
+
+    def find_prompt(self, search_string):
+        """
+        Find prompts based on the search_string.
+        :param search_string: The action to search for in the CSV.
+        :return: The found prompts or a message if no prompt is found.
+        """
+        filtered_df = self.df[
+            self.df["act"].str.lower().str.contains(search_string.lower())
+        ]
+        if len(filtered_df) > 0:
+            return filtered_df[["act", "prompt"]]
+        else:
+            return f"No prompt found for '{search_string}'."
+
+    @staticmethod
+    def display_and_select_prompt(results):
+        """
+        Display prompts and allow user to select one.
+        :param results: DataFrame of found prompts.
+        """
+        try:
+            if isinstance(results, str):
+                print(results)  # No prompt found
+            elif len(results) == 1:
+                # Automatically select if only one prompt is found
+                return results.iloc[0]["prompt"]
+            else:
+                for idx, row in enumerate(results.itertuples(), 1):  # Use enumerate for sequential numbering
+                    print(f"{idx}. {row.act}: {row.prompt}")
+                choice = int(input("Select a prompt number: "))
+                return results.iloc[choice - 1]["prompt"]
+        except KeyboardInterrupt:
+            print("\nOperation cancelled by the user.")
+            sys.exit(0)
+
+
+if __name__ == "__main__":
+    try:
+        csv_file_path = sys.argv[1] if len(sys.argv) > 1 else None
+        prompt_finder = PromptFinder(csv_file_path)
+
+        if not sys.stdin.isatty():
+            act_to_search = sys.stdin.readline().strip()
+        else:
+            act_to_search = input("Enter the ACT to search for: ")
+
+        found_prompts = prompt_finder.find_prompt(act_to_search)
+        if isinstance(found_prompts, str):
+            print(found_prompts)
+        else:
+            selected_prompt = prompt_finder.display_and_select_prompt(found_prompts)
+            print(f"Selected Prompt: {selected_prompt}")
+    except KeyboardInterrupt:
+        print("\nScript interrupted by the user.")
+        sys.exit(0)