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import json
import time
from typing import Dict, List, Optional, Tuple
class GraniteAgent:
def __init__(self, config):
self.config = config
self.base_url = config.OLLAMA_BASE_URL
self.model = config.GRANITE_MODEL
self.max_retries = 3
self.retry_delay = 2 # seconds
def assign_wellness_tasks(self, user_profile: Dict, mental_health_assessment: str, risk_level: int) -> List[Dict]:
"""Assign wellness tasks based on mental health assessment using Granite AI"""
# First attempt: Comprehensive AI generation
tasks = self._generate_ai_tasks(user_profile, mental_health_assessment, risk_level)
if tasks:
return tasks
# Second attempt: Simplified AI generation with retry
tasks = self._generate_simplified_tasks(user_profile, risk_level)
if tasks:
return tasks
# Final fallback: Basic AI generation with minimal context
tasks = self._generate_basic_tasks(risk_level)
if tasks:
return tasks
# Emergency fallback: Only if AI is completely unavailable
print("WARNING: Granite AI completely unavailable, using emergency preset tasks")
return self._get_emergency_preset_tasks(risk_level)
def _generate_ai_tasks(self, user_profile: Dict, mental_health_assessment: str, risk_level: int) -> Optional[List[Dict]]:
"""Primary method: Generate comprehensive personalized tasks using Granite AI"""
prompt = self._build_comprehensive_prompt(user_profile, mental_health_assessment, risk_level)
for attempt in range(self.max_retries):
try:
response = self._call_granite_api(prompt, temperature=0.5)
if response:
tasks = self._extract_and_validate_tasks(response, risk_level)
if tasks and len(tasks) >= 3: # Ensure we have enough tasks
print(f"✓ Generated {len(tasks)} comprehensive AI tasks")
return tasks
except Exception as e:
print(f"Attempt {attempt + 1} failed for comprehensive generation: {e}")
if attempt < self.max_retries - 1:
time.sleep(self.retry_delay)
return None
def _generate_simplified_tasks(self, user_profile: Dict, risk_level: int) -> Optional[List[Dict]]:
"""Fallback method: Generate simplified tasks with reduced context"""
prompt = self._build_simplified_prompt(user_profile, risk_level)
for attempt in range(self.max_retries):
try:
response = self._call_granite_api(prompt, temperature=0.4)
if response:
tasks = self._extract_and_validate_tasks(response, risk_level)
if tasks and len(tasks) >= 2:
print(f"✓ Generated {len(tasks)} simplified AI tasks")
return tasks
except Exception as e:
print(f"Attempt {attempt + 1} failed for simplified generation: {e}")
if attempt < self.max_retries - 1:
time.sleep(self.retry_delay)
return None
def _generate_basic_tasks(self, risk_level: int) -> Optional[List[Dict]]:
"""Secondary fallback: Generate basic tasks with minimal context"""
prompt = self._build_basic_prompt(risk_level)
for attempt in range(self.max_retries):
try:
response = self._call_granite_api(prompt, temperature=0.3)
if response:
tasks = self._extract_and_validate_tasks(response, risk_level, min_tasks=1)
if tasks:
print(f"✓ Generated {len(tasks)} basic AI tasks")
return tasks
except Exception as e:
print(f"Attempt {attempt + 1} failed for basic generation: {e}")
if attempt < self.max_retries - 1:
time.sleep(self.retry_delay)
return None
def _build_comprehensive_prompt(self, user_profile: Dict, mental_health_assessment: str, risk_level: int) -> str:
"""Build detailed prompt for comprehensive task generation"""
return f"""
You are a professional wellness coach. Create personalized wellness tasks based on user data.
GUIDELINES:
- Use professional, clear language
- Focus on evidence-based wellness practices
- Ensure all recommendations are safe and appropriate
- Use inclusive, respectful language
USER CONTEXT:
Risk Level: {risk_level}/10 (10 = highest risk)
Assessment: {mental_health_assessment}
USER PROFILE:
- Stress Level: {user_profile.get('Stress_Level', 'Not specified')}
- Sleep: {user_profile.get('Sleep_Hours', 'Not specified')} hours/night, quality: {user_profile.get('Sleep_Quality', 'Not specified')}
- Work: {user_profile.get('Work_Hours', 'Not specified')} hours/week
- Exercise: {user_profile.get('Physical_Activity_Hours', 'Not specified')} hours/week
- Occupation: {user_profile.get('Occupation', 'Not specified')}
- Age: {user_profile.get('Age', 'Not specified')}
- Mood: {user_profile.get('Mood', 'Not specified')}
- Anxiety: {user_profile.get('Anxiety_Frequency', 'Not specified')}
- Energy: {user_profile.get('Energy_Level', 'Not specified')}
TASK REQUIREMENTS:
{self._get_risk_specific_requirements(risk_level)}
Generate 4-6 personalized wellness tasks. Each task must be:
1. Relevant to their specific situation
2. Practical and achievable
3. Evidence-based for mental health improvement
4. Appropriate for their risk level
5. Include clear, actionable instructions
MANDATORY JSON FORMAT (return ONLY valid JSON):
[
{{
"task_type": "select from: meditation, exercise, sleep_schedule, social_connection, journaling, breathing_exercise, nature_walk, healthy_meal, screen_break, gratitude_practice, professional_help, mindfulness, stress_management, routine_building, creative_activity, relaxation_technique",
"title": "Clear, engaging title",
"description": "Brief description explaining the benefits",
"duration_days": appropriate_number,
"difficulty": "easy/medium/hard",
"instructions": "Step-by-step instructions tailored to their profile",
"completion_criteria": "Clear, measurable success criteria",
"personalization_notes": "Why this task fits their specific situation"
}}
]
"""
def _build_simplified_prompt(self, user_profile: Dict, risk_level: int) -> str:
"""Build simplified prompt when comprehensive generation fails"""
key_factors = []
if user_profile.get('Stress_Level'):
key_factors.append(f"Stress: {user_profile['Stress_Level']}")
if user_profile.get('Sleep_Hours'):
key_factors.append(f"Sleep: {user_profile['Sleep_Hours']}h")
if user_profile.get('Work_Hours'):
key_factors.append(f"Work: {user_profile['Work_Hours']}h/week")
factors_str = ", ".join(key_factors) if key_factors else "Limited profile data"
return f"""
You are a wellness coach. Create practical wellness tasks.
USER: {factors_str}
Risk Level: {risk_level}/10
{self._get_risk_specific_requirements(risk_level)}
Generate 3-4 practical wellness tasks as JSON array:
[
{{
"task_type": "meditation|exercise|sleep_schedule|journaling|breathing_exercise|professional_help|stress_management",
"title": "Clear task title",
"description": "Brief helpful description",
"duration_days": number,
"difficulty": "easy|medium|hard",
"instructions": "Step-by-step instructions",
"completion_criteria": "How to measure success"
}}
]
"""
def _build_basic_prompt(self, risk_level: int) -> str:
"""Build minimal prompt for basic task generation"""
return f"""
You are a wellness coach. Generate wellness tasks for risk level {risk_level}/10.
{self._get_risk_specific_requirements(risk_level)}
Return 2-3 tasks as JSON:
[
{{
"task_type": "breathing_exercise|meditation|professional_help|journaling",
"title": "Task title",
"description": "What this helps with",
"duration_days": 1-7,
"difficulty": "easy|medium",
"instructions": "Clear instructions",
"completion_criteria": "Success measure"
}}
]
"""
def _get_risk_specific_requirements(self, risk_level: int) -> str:
"""Get specific requirements based on risk level"""
if risk_level >= 8:
return """
CRITICAL PRIORITY:
- MUST include immediate professional help seeking
- Focus on crisis intervention and safety
- Include emergency resources and contacts
- Tasks should provide immediate coping mechanisms
- Maximum task duration: 1-2 days
"""
elif risk_level >= 6:
return """
HIGH PRIORITY:
- Strongly recommend professional consultation within 1 week
- Include daily anxiety/stress management techniques
- Focus on stabilization and routine building
- Provide structured, manageable activities
- Task duration: 2-7 days
"""
elif risk_level >= 4:
return """
MODERATE PRIORITY:
- Include both self-care and gradual improvement activities
- Balance mental and physical wellness approaches
- Encourage social connection and support
- Build sustainable, healthy habits
- Task duration: 5-14 days
"""
else:
return """
MAINTENANCE/PREVENTION:
- Focus on wellness enhancement and prevention
- Include enjoyable, engaging activities
- Support long-term habit building
- Promote overall life satisfaction
- Task duration: 7-21 days
"""
def _extract_and_validate_tasks(self, response: str, risk_level: int, min_tasks: int = 2) -> Optional[List[Dict]]:
"""Extract and validate tasks from AI response"""
try:
# Clean the response
cleaned_response = self._clean_json_string(response)
if not cleaned_response:
return None
# Try to parse JSON
try:
tasks = json.loads(cleaned_response)
except json.JSONDecodeError:
# Try to extract individual task objects
tasks = self._extract_individual_tasks(response)
if not tasks:
return None
# Validate task structure
validated_tasks = self._validate_task_structure(tasks, risk_level)
if validated_tasks and len(validated_tasks) >= min_tasks:
return validated_tasks
except Exception as e:
print(f"Error extracting tasks: {e}")
return None
def _clean_json_string(self, json_str: str) -> Optional[str]:
"""Clean malformed JSON string"""
try:
# Remove common issues
cleaned = json_str.strip()
# Find JSON array boundaries
start_idx = cleaned.find('[')
end_idx = cleaned.rfind(']')
if start_idx == -1 or end_idx == -1:
return None
cleaned = cleaned[start_idx:end_idx + 1]
# Remove newlines and extra whitespace
cleaned = cleaned.replace('\n', ' ').replace('\r', '')
cleaned = ' '.join(cleaned.split())
# Fix common JSON issues
cleaned = cleaned.replace(',}', '}') # Remove trailing commas
cleaned = cleaned.replace(',]', ']')
return cleaned
except Exception:
return None
def _extract_individual_tasks(self, response: str) -> Optional[List[Dict]]:
"""Extract individual task objects when array parsing fails"""
tasks = []
# Find individual task objects
import re
task_pattern = r'\{[^{}]*"task_type"[^{}]*\}'
matches = re.findall(task_pattern, response, re.DOTALL)
for match in matches:
try:
# Clean the match
clean_match = match.replace('\n', ' ').replace('\r', '')
clean_match = ' '.join(clean_match.split())
clean_match = clean_match.replace(',}', '}')
task = json.loads(clean_match)
tasks.append(task)
except:
continue
return tasks if tasks else None
def _validate_task_structure(self, tasks: List[Dict], risk_level: int) -> Optional[List[Dict]]:
"""Validate and sanitize task structure"""
if not isinstance(tasks, list):
return None
valid_tasks = []
required_fields = ['task_type', 'title', 'description', 'duration_days', 'difficulty', 'instructions', 'completion_criteria']
valid_task_types = {
'meditation', 'exercise', 'sleep_schedule', 'social_connection',
'journaling', 'breathing_exercise', 'nature_walk', 'healthy_meal',
'screen_break', 'gratitude_practice', 'professional_help',
'mindfulness', 'stress_management', 'routine_building',
'creative_activity', 'relaxation_technique'
}
# Ensure high-risk users get professional help
has_professional_help = False
for task in tasks:
if not isinstance(task, dict):
continue
# Check required fields
if not all(field in task and str(task[field]).strip() for field in required_fields):
continue
# Validate and clean task
validated_task = self._clean_and_validate_task(task, valid_task_types)
if validated_task:
valid_tasks.append(validated_task)
if validated_task['task_type'] == 'professional_help':
has_professional_help = True
# Ensure high-risk users have professional help task
if risk_level >= 7 and not has_professional_help and len(valid_tasks) > 0:
professional_task = self._generate_professional_help_task(risk_level)
valid_tasks.insert(0, professional_task)
return valid_tasks if len(valid_tasks) >= 1 else None
def _clean_and_validate_task(self, task: Dict, valid_task_types: set) -> Optional[Dict]:
"""Clean and validate individual task"""
try:
# Validate task_type
if task.get('task_type') not in valid_task_types:
return None
# Clean and validate duration
try:
duration = int(task.get('duration_days', 7))
duration = max(1, min(30, duration)) # Clamp between 1-30 days
except (ValueError, TypeError):
duration = 7
# Validate difficulty
difficulty = task.get('difficulty', 'medium').lower()
if difficulty not in ['easy', 'medium', 'hard']:
difficulty = 'medium'
# Clean text fields
cleaned_task = {
'task_type': task['task_type'],
'title': str(task['title']).strip()[:100],
'description': str(task['description']).strip()[:300],
'duration_days': duration,
'difficulty': difficulty,
'instructions': str(task['instructions']).strip()[:1000],
'completion_criteria': str(task['completion_criteria']).strip()[:200]
}
# Add optional fields if present
if 'personalization_notes' in task:
cleaned_task['personalization_notes'] = str(task['personalization_notes']).strip()[:200]
return cleaned_task
except Exception as e:
print(f"Error cleaning task: {e}")
return None
def _generate_professional_help_task(self, risk_level: int) -> Dict:
"""Generate professional help task for high-risk users"""
urgency = "immediately" if risk_level >= 8 else "within 1-2 days"
return {
"task_type": "professional_help",
"title": "Seek Professional Mental Health Support",
"description": f"Contact a mental health professional {urgency} for assessment and support",
"duration_days": 2,
"difficulty": "medium",
"instructions": f"Contact your healthcare provider, call a mental health helpline, or visit a mental health clinic {urgency}. If in immediate crisis, call emergency services (911) or go to the nearest emergency room.",
"completion_criteria": "Make contact with a mental health professional or crisis support service"
}
def _get_emergency_preset_tasks(self, risk_level: int) -> List[Dict]:
"""ONLY used when Granite AI is completely unavailable - minimal preset tasks"""
print("EMERGENCY: Using preset tasks - Granite AI unavailable")
if risk_level >= 7:
return [
{
"task_type": "professional_help",
"title": "Emergency Professional Help",
"description": "Seek immediate professional mental health support",
"duration_days": 1,
"difficulty": "medium",
"instructions": "Contact emergency mental health services, your doctor, or call a crisis helpline immediately.",
"completion_criteria": "Make contact with professional help"
}
]
elif risk_level >= 4:
return [
{
"task_type": "breathing_exercise",
"title": "Daily Breathing Practice",
"description": "Use breathing exercises to manage stress and anxiety",
"duration_days": 7,
"difficulty": "easy",
"instructions": "Practice 4-7-8 breathing: Inhale for 4 counts, hold for 7 counts, exhale for 8 counts. Repeat 4 times, twice daily.",
"completion_criteria": "Complete breathing exercise twice daily for one week"
},
{
"task_type": "sleep_schedule",
"title": "Improve Sleep Routine",
"description": "Establish a consistent sleep schedule for better rest",
"duration_days": 14,
"difficulty": "medium",
"instructions": "Go to bed and wake up at the same time daily. Create a 30-minute wind-down routine before bed.",
"completion_criteria": "Maintain consistent sleep schedule for 2 weeks"
}
]
else:
return [
{
"task_type": "gratitude_practice",
"title": "Daily Gratitude Journal",
"description": "Practice gratitude to boost mood and well-being",
"duration_days": 14,
"difficulty": "easy",
"instructions": "Write down 3 things you're grateful for each morning. Be specific and reflect on why you appreciate them.",
"completion_criteria": "Complete gratitude entries for 14 consecutive days"
},
{
"task_type": "nature_walk",
"title": "Weekly Nature Walks",
"description": "Connect with nature to reduce stress and improve mood",
"duration_days": 21,
"difficulty": "easy",
"instructions": "Take a 20-30 minute walk in a park, garden, or natural area twice per week. Focus on your surroundings.",
"completion_criteria": "Complete 6 nature walks over 3 weeks"
}
]
def _call_granite_api(self, prompt: str, temperature: float = 0.3) -> Optional[str]:
"""Enhanced API call with better error handling and logging"""
data = {
"model": self.model,
"prompt": prompt,
"stream": False,
"options": {
"temperature": temperature,
"top_p": 0.9,
"num_predict": 2000, # Increased for better task generation
"repeat_penalty": 1.1,
"stop": ["Human:", "Assistant:", "\n\n---"]
}
}
try:
print(f"🤖 Calling Granite API (temp={temperature})...")
response = requests.post(self.base_url, json=data, timeout=90)
if response.status_code == 200:
result = response.json()
ai_response = result.get('response', '').strip()
if ai_response:
print(f"✓ Granite API responded ({len(ai_response)} chars)")
return ai_response
else:
print("⚠ Granite API returned empty response")
return None
else:
print(f"❌ Granite API error: {response.status_code}")
return None
except requests.exceptions.ConnectionError:
print("❌ Cannot connect to Granite (Ollama not running?)")
return None
except requests.exceptions.Timeout:
print("❌ Granite API timeout")
return None
except Exception as e:
print(f"❌ Granite API error: {e}")
return None |