from typing import Any, Text, Dict, List, Optional from rasa_sdk import Action, Tracker, FormValidationAction from rasa_sdk.executor import CollectingDispatcher from rasa_sdk.events import SlotSet, ActiveLoop import cohere import os from dotenv import load_dotenv import json import markdown import re load_dotenv() COHERE_API_KEY = os.getenv("COHERE_API_KEY") co = cohere.Client(COHERE_API_KEY) def format_user_profile(tracker): dietary_preference = tracker.get_slot("dietary_preference") or "not specified" health_goal = tracker.get_slot("health_goal") or "not specified" age = tracker.get_slot("age") or "not specified" weight = tracker.get_slot("weight") or "not specified" height = tracker.get_slot("height") or "not specified" gender = tracker.get_slot("gender") or "not specified" activity_level = tracker.get_slot("activity_level") or "not specified" restrictions = tracker.get_slot("restrictions") or [] allergies = tracker.get_slot("allergies") or [] profile = { "dietary_preference": dietary_preference, "health_goal": health_goal, "age": age, "weight": weight, "height": height, "gender": gender, "activity_level": activity_level, "restrictions": restrictions, "allergies": allergies } return profile def format_plan_markdown(plan_dict: Dict[Text, Any]) -> Text: markdown_text = "" if not isinstance(plan_dict, dict): return str(plan_dict) if "overview" in plan_dict: markdown_text += f"## Diet Overview\\n{plan_dict['overview']}\\n\\n" if "weekly_plan" in plan_dict and isinstance(plan_dict["weekly_plan"], dict): markdown_text += "## Weekly Meal Plan\\n" for day, meals in plan_dict["weekly_plan"].items(): markdown_text += f"### {day.capitalize()}\\n" if isinstance(meals, dict): for meal_type, description in meals.items(): markdown_text += f"- **{meal_type.capitalize()}:** {description}\\n" else: markdown_text += f"- {meals}\\n" markdown_text += "\\n" if "recommendations" in plan_dict: markdown_text += f"## General Recommendations\\n{plan_dict['recommendations']}\\n" return markdown_text.strip() class ActionGenerateDietPlan(Action): def name(self) -> Text: return "action_generate_diet_plan" async def run(self, dispatcher: CollectingDispatcher, tracker: Tracker, domain: Dict[Text, Any]) -> List[Dict[Text, Any]]: user_profile = format_user_profile(tracker) prompt = f""" Create a personalized weekly meal plan based on the following user information: Dietary Preference: {user_profile['dietary_preference']} Health Goal: {user_profile['health_goal']} Age: {user_profile['age']} Weight: {user_profile['weight']} Height: {user_profile['height']} Gender: {user_profile['gender']} Activity Level: {user_profile['activity_level']} Dietary Restrictions: {', '.join(user_profile['restrictions']) if user_profile['restrictions'] else 'None'} Allergies: {', '.join(user_profile['allergies']) if user_profile['allergies'] else 'None'} Generate a complete, well-structured meal plan. IMPORTANT: Structure the core meal plan data as a JSON object within a Markdown code block like this: ```json {{ "overview": "A brief summary of the diet approach...", "weekly_plan": {{ "Monday": {{"breakfast": "...", "lunch": "...", "dinner": "...", "snacks": "..."}}, "Tuesday": {{"breakfast": "...", "lunch": "...", "dinner": "...", "snacks": "..."}}, "Wednesday": {{"breakfast": "...", "lunch": "...", "dinner": "...", "snacks": "..."}}, "Thursday": {{"breakfast": "...", "lunch": "...", "dinner": "...", "snacks": "..."}}, "Friday": {{"breakfast": "...", "lunch": "...", "dinner": "...", "snacks": "..."}}, "Saturday": {{"breakfast": "...", "lunch": "...", "dinner": "...", "snacks": "..."}}, "Sunday": {{"breakfast": "...", "lunch": "...", "dinner": "...", "snacks": "..."}} }}, "recommendations": "General tips and advice..." }} ``` Ensure the JSON is valid. Provide the JSON structure exactly as specified above, filling in the details. You can add introductory or concluding text outside the JSON block if needed. """ try: response = co.chat( message=prompt, model="command-r", temperature=0.3, ) llm_response_text = response.text plan_dict = None json_match = re.search(r"```json\s*(\{.*?\})\s*```", llm_response_text, re.DOTALL) if json_match: json_string = json_match.group(1) try: plan_dict = json.loads(json_string) print("Successfully parsed JSON plan from LLM.") except json.JSONDecodeError as json_err: print(f"JSON Decode Error: {json_err}") print(f"Invalid JSON string: {json_string}") plan_dict = {"error": "Failed to parse plan structure", "raw_text": llm_response_text} else: print("No JSON block found in LLM response.") plan_dict = {"error": "No structured plan found", "raw_text": llm_response_text} formatted_plan_markdown = format_plan_markdown(plan_dict) dispatcher.utter_message(text="Here is your personalized diet plan:\n\n" + formatted_plan_markdown) return [SlotSet("generated_diet_plan", plan_dict), SlotSet("user_profile_complete", True)] except Exception as e: print(f"Error during LLM call or processing: {str(e)}") dispatcher.utter_message(text=f"I'm sorry, I couldn't generate a diet plan at the moment. Error: {str(e)}") return [SlotSet("generated_diet_plan", None), SlotSet("user_profile_complete", True)] class ActionAnswerDietQuestion(Action): def name(self) -> Text: return "action_answer_diet_question" def run(self, dispatcher: CollectingDispatcher, tracker: Tracker, domain: Dict[Text, Any]) -> List[Dict[Text, Any]]: last_message = tracker.latest_message.get("text") prompt = f""" Answer the following nutrition or diet-related question clearly and accurately: Question: {last_message} Provide a helpful, evidence-based response with practical advice when applicable. If it would be beneficial, include a few bullet points with key takeaways. """ try: response = co.generate( prompt=prompt, model="command", max_tokens=800, temperature=0.7, ) answer = response.generations[0].text dispatcher.utter_message(text=answer) return [] except Exception as e: dispatcher.utter_message(text=f"I'm sorry, I couldn't answer your question at the moment. Error: {str(e)}") return [] class ActionUpdateDietPlan(Action): def name(self) -> Text: return "action_update_diet_plan" def run(self, dispatcher: CollectingDispatcher, tracker: Tracker, domain: Dict[Text, Any]) -> List[Dict[Text, Any]]: user_request = tracker.latest_message.get("text") user_profile = format_user_profile(tracker) prompt = f""" Update the previously generated meal plan based on the following user feedback: User Profile: Dietary Preference: {user_profile['dietary_preference']} Health Goal: {user_profile['health_goal']} Age: {user_profile['age']} Weight: {user_profile['weight']} Height: {user_profile['height']} Gender: {user_profile['gender']} Activity Level: {user_profile['activity_level']} Dietary Restrictions: {', '.join(user_profile['restrictions']) if user_profile['restrictions'] else 'None'} Allergies: {', '.join(user_profile['allergies']) if user_profile['allergies'] else 'None'} User Feedback: {user_request} Generate an updated meal plan that addresses the user's feedback while still keeping their health goals and dietary needs in mind. Format the response in Markdown with clear headers and bullet points. """ try: response = co.generate( prompt=prompt, model="command", max_tokens=2000, temperature=0.7, ) updated_plan = response.generations[0].text dispatcher.utter_message(text=updated_plan) return [] except Exception as e: dispatcher.utter_message(text=f"I'm sorry, I couldn't update the diet plan at the moment. Error: {str(e)}") return [] def parse_new_meals(text: str) -> Dict[str, str]: meals = {"breakfast": "Not specified", "lunch": "Not specified", "dinner": "Not specified", "snacks": "Not specified"} text_lower = text.lower() keywords = ["breakfast", "lunch", "dinner", "snacks"] current_keyword = None current_meal_text = "" for word in text.split(): word_lower = word.lower().strip(':.,;') if word_lower in keywords: if current_keyword: meals[current_keyword] = current_meal_text.strip() current_keyword = word_lower current_meal_text = "" elif current_keyword: current_meal_text += word + " " if current_keyword: meals[current_keyword] = current_meal_text.strip() if all(v == "Not specified" for v in meals.values()) and text.strip(): meals['description'] = text.strip() del meals['breakfast'] del meals['lunch'] del meals['dinner'] del meals['snacks'] elif all(v == "Not specified" for v in meals.values()): return {"description": "No details provided"} else: meals = {k: v for k, v in meals.items() if v != "Not specified"} return meals class ValidateDietChangeForm(FormValidationAction): def name(self) -> Text: return "validate_diet_change_form" async def run( self, dispatcher: CollectingDispatcher, tracker: Tracker, domain: Dict[Text, Any], ) -> List[Dict[Text, Any]]: """Validate form slots and submit action.""" events = await super().run(dispatcher, tracker, domain) if tracker.active_loop and tracker.active_loop.get('name') == 'diet_change_form' and tracker.get_slot('new_meals_text') is not None: generated_plan = tracker.get_slot("generated_diet_plan") day_to_change = tracker.get_slot("change_day") new_meals_text = tracker.get_slot("new_meals_text") if not generated_plan or not isinstance(generated_plan, dict) or 'weekly_plan' not in generated_plan: dispatcher.utter_message(response="utter_no_plan_to_change") return events + [ActiveLoop(None), SlotSet("new_meals_text", None), SlotSet("change_day", None)] if not day_to_change: dispatcher.utter_message(text="Sorry, I don't know which day you want to change.") return events + [ActiveLoop(None), SlotSet("new_meals_text", None)] day_to_change_normalized = day_to_change.capitalize() days_in_plan = list(generated_plan.get("weekly_plan", {}).keys()) actual_day_key = day_to_change_normalized for key in days_in_plan: if key.lower() == day_to_change_normalized.lower(): actual_day_key = key break if actual_day_key not in generated_plan["weekly_plan"]: dispatcher.utter_message(text=f"Sorry, I couldn't find '{day_to_change_normalized}' in the current plan.") return events + [ActiveLoop(None), SlotSet("new_meals_text", None), SlotSet("change_day", None)] parsed_new_meals = parse_new_meals(new_meals_text) updated_plan = generated_plan.copy() if isinstance(updated_plan.get("weekly_plan"), dict): updated_plan["weekly_plan"][actual_day_key] = parsed_new_meals else: dispatcher.utter_message(text="Sorry, there was an issue updating the plan structure.") return events + [ActiveLoop(None), SlotSet("new_meals_text", None), SlotSet("change_day", None)] formatted_updated_plan = format_plan_markdown(updated_plan) dispatcher.utter_message(response="utter_confirm_diet_change", generated_diet_plan=formatted_updated_plan, change_day=actual_day_key) return events + [SlotSet("generated_diet_plan", updated_plan), SlotSet("new_meals_text", None), SlotSet("change_day", None), ActiveLoop(None)] return events class ActionUpdateUserInfo(Action): def name(self) -> Text: return "action_update_user_info" async def run( self, dispatcher: CollectingDispatcher, tracker: Tracker, domain: Dict[Text, Any], ) -> List[Dict[Text, Any]]: change_field = tracker.get_slot("change_field") new_value = tracker.get_slot("new_value") events = [] if change_field and new_value: change_field = change_field.lower() if "diet" in change_field or "preference" in change_field: events.append(SlotSet("dietary_preference", new_value)) elif "health" in change_field or "goal" in change_field: events.append(SlotSet("health_goal", new_value)) elif "age" in change_field: events.append(SlotSet("age", new_value)) elif "weight" in change_field: events.append(SlotSet("weight", new_value)) elif "height" in change_field: events.append(SlotSet("height", new_value)) elif "gender" in change_field: events.append(SlotSet("gender", new_value)) elif "activity" in change_field: events.append(SlotSet("activity_level", new_value)) events.append(SlotSet("change_field", None)) events.append(SlotSet("new_value", None)) dispatcher.utter_message(response="utter_confirm_update") elif change_field and not new_value: dispatcher.utter_message(response="utter_ask_new_value") else: dispatcher.utter_message(response="utter_ask_which_field_to_change") return events