Initial commit

skills/pi-pathfinder/assets/skill_adaptation_template.py

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+#!/usr/bin/env python3
+
+"""
+Template for adapting skills from one plugin to another.
+
+This module provides a template for adapting skills from a source plugin
+to a target plugin. It includes placeholders for input parameters,
+output variables, and adaptation logic.
+
+"""
+
+import logging
+
+# Configure logging
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+
+
+def adapt_skill(source_plugin_skills, target_plugin_requirements, user_query):
+    """
+    Adapt skills from the source plugin to meet the target plugin's requirements.
+
+    Args:
+        source_plugin_skills (dict): A dictionary representing the skills
+                                      provided by the source plugin.
+        target_plugin_requirements (dict): A dictionary representing the
+                                            requirements of the target plugin.
+        user_query (str): The original user query.
+
+    Returns:
+        dict: A dictionary containing the adapted input parameters for the
+              target plugin.  Returns None if adaptation is not possible.
+
+    Raises:
+        TypeError: If input types are incorrect.
+        ValueError: If input values are invalid.
+        Exception: For any other unexpected error during adaptation.
+    """
+
+    try:
+        if not isinstance(source_plugin_skills, dict):
+            raise TypeError("source_plugin_skills must be a dictionary.")
+        if not isinstance(target_plugin_requirements, dict):
+            raise TypeError("target_plugin_requirements must be a dictionary.")
+        if not isinstance(user_query, str):
+            raise TypeError("user_query must be a string.")
+
+        # Example adaptation logic (replace with your actual adaptation)
+        adapted_input = {}
+
+        # Check if the target plugin requires a 'text' input and adapt from user query
+        if "text" in target_plugin_requirements:
+            adapted_input["text"] = user_query
+
+        # Check if the source plugin can provide a 'summary' and the target plugin requires it
+        if "summary" in target_plugin_requirements and "summarize" in source_plugin_skills:
+            # Assuming source_plugin_skills["summarize"] is a function that returns a summary
+            # This is a placeholder, replace with actual logic using the source plugin's skills
+            try:
+                # Placeholder:  Replace with actual call to source plugin's skill
+                # summary = source_plugin_skills["summarize"](user_query)
+                summary = "This is a placeholder summary." # Simulate a summary
+                adapted_input["summary"] = summary
+            except Exception as e:
+                logging.error(f"Error summarizing using source plugin: {e}")
+                return None  # Adaptation failed
+
+        # Check if adaptation logic was successful
+        if not adapted_input:
+            logging.warning("No adaptation logic applied. Adaptation may not be effective.")
+
+        return adapted_input
+
+    except TypeError as e:
+        logging.error(f"Type error during skill adaptation: {e}")
+        raise
+    except ValueError as e:
+        logging.error(f"Value error during skill adaptation: {e}")
+        raise
+    except Exception as e:
+        logging.exception("Unexpected error during skill adaptation.")
+        raise
+
+
+def post_process_output(target_plugin_output):
+    """
+    Post-processes the output from the target plugin.
+
+    Args:
+        target_plugin_output (any): The raw output from the target plugin.
+
+    Returns:
+        str: A human-readable string representing the processed output.
+
+    Raises:
+        TypeError: If input type is incorrect.
+        Exception: For any other error during post-processing.
+    """
+    try:
+        if target_plugin_output is None:
+            return "No output from target plugin."
+
+        # Simple example: Convert to string
+        processed_output = str(target_plugin_output)
+
+        return processed_output
+
+    except TypeError as e:
+        logging.error(f"Type error during output post-processing: {e}")
+        raise
+    except Exception as e:
+        logging.exception("Unexpected error during output post-processing.")
+        raise
+
+
+if __name__ == "__main__":
+    # Example Usage
+    source_plugin_skills = {
+        "summarize": lambda x: f"Summary of: {x}"  # Placeholder summarize function
+    }
+    target_plugin_requirements = {
+        "text": "string",
+        "summary": "string"
+    }
+    user_query = "This is a long document that needs to be summarized."
+
+    try:
+        adapted_input = adapt_skill(source_plugin_skills, target_plugin_requirements, user_query)
+
+        if adapted_input:
+            print("Adapted Input:", adapted_input)
+
+            # Simulate target plugin output
+            target_plugin_output = f"Target plugin processed: {adapted_input}"
+
+            processed_output = post_process_output(target_plugin_output)
+            print("Processed Output:", processed_output)
+        else:
+            print("Skill adaptation failed.")
+
+    except Exception as e:
+        print(f"An error occurred: {e}")