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# provider_summary_formatter.py
"""
Provider Summary Formatter for Enhanced UI Display.
This module provides formatting for provider summaries as coherent paragraphs
according to the requirements for improved readability and consistency.
Requirements: 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8
"""
from typing import List, Optional, Dict, Any
from dataclasses import dataclass
from src.core.provider_summary_generator import ProviderSummary
@dataclass
class PatientData:
"""Patient data for summary formatting."""
name: str
age: int
gender: str
phone: str
medical_history: List[str]
expressed_concerns: List[str]
patient_input: str
@dataclass
class ClassificationData:
"""Classification data for summary formatting."""
classification: str # RED/YELLOW/GREEN
spiritual_concern_type: str
consent_given: bool
class ProviderSummaryFormatter:
"""
Provider Summary Formatter for coherent paragraph generation.
Formats provider summaries as single coherent paragraphs following
the Medical Brain style as specified in requirements 2.1-2.8.
"""
def __init__(self):
"""Initialize the provider summary formatter."""
pass
def format_coherent_paragraph(
self,
patient_data: PatientData,
classification_data: ClassificationData
) -> str:
"""
Format provider summary as a single coherent paragraph.
Args:
patient_data: Patient information and context
classification_data: Classification and consent information
Returns:
Single coherent paragraph formatted for provider summary
Requirements: 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8
"""
# Build demographic section (Requirement 2.2)
demographic_section = self.build_demographic_section(patient_data)
# Build medical history section (Requirement 2.3)
medical_section = self.build_medical_history_section(patient_data.medical_history)
# Build spiritual concerns section (Requirement 2.4, 2.5)
concerns_section = self.build_spiritual_concerns_section(
patient_data.expressed_concerns,
classification_data.spiritual_concern_type,
classification_data.classification
)
# Build consent and contact section (Requirement 2.6, 2.7)
contact_section = self.build_contact_section(
patient_data.phone,
classification_data.consent_given
)
# Combine all sections into coherent paragraph (Requirement 2.1)
paragraph_parts = [
demographic_section,
medical_section,
concerns_section,
contact_section
]
# Filter out empty parts and join with appropriate connectors
non_empty_parts = [part for part in paragraph_parts if part.strip()]
if not non_empty_parts:
return "No summary information available."
# Join parts with appropriate connectors for flow
coherent_paragraph = ". ".join(non_empty_parts)
# Ensure proper sentence ending
if not coherent_paragraph.endswith('.'):
coherent_paragraph += '.'
return coherent_paragraph
def build_demographic_section(self, patient: PatientData) -> str:
"""
Build demographic information section.
Args:
patient: Patient data containing demographic information
Returns:
Formatted demographic section string
Requirements: 2.2
"""
# Format: "[patient name] is a X-year-old [gender]"
gender_text = patient.gender.lower() if patient.gender else "individual"
return f"{patient.name} is a {patient.age}-year-old {gender_text}"
def build_medical_history_section(self, medical_history: List[str]) -> str:
"""
Build medical history section.
Args:
medical_history: List of medical conditions/history items
Returns:
Formatted medical history section string
Requirements: 2.3
"""
if not medical_history:
return "with no significant medical history documented"
# Format: "with clinical history of X, Y, and Z"
if len(medical_history) == 1:
history_text = medical_history[0]
elif len(medical_history) == 2:
history_text = f"{medical_history[0]} and {medical_history[1]}"
else:
# Multiple items: "X, Y, and Z"
history_text = ", ".join(medical_history[:-1]) + f", and {medical_history[-1]}"
return f"with clinical history of {history_text}"
def build_spiritual_concerns_section(
self,
concerns: List[str],
concern_type: str,
classification: str
) -> str:
"""
Build spiritual concerns section.
Args:
concerns: List of expressed concerns
concern_type: Type of spiritual concern identified
classification: Classification level (RED/YELLOW/GREEN)
Returns:
Formatted spiritual concerns section string
Requirements: 2.4, 2.5
"""
if not concerns:
concerns_text = "general distress"
elif len(concerns) == 1:
concerns_text = concerns[0]
elif len(concerns) == 2:
concerns_text = f"{concerns[0]} and {concerns[1]}"
else:
# Multiple concerns: "X, Y, and Z"
concerns_text = ", ".join(concerns[:-1]) + f", and {concerns[-1]}"
# Format: "The patient expressed X, Y, and Z, which may indicate [specific spiritual/emotional concern]"
concern_description = concern_type if concern_type else "spiritual or emotional distress"
concerns_section = f"The patient expressed {concerns_text}, which may indicate {concern_description}"
# Add classification information (Requirement 2.5)
flag_text = f"{classification} FLAG" if classification in ["RED", "YELLOW"] else "GREEN status"
classification_section = f", resulting in generation of a {flag_text}"
return concerns_section + classification_section
def build_contact_section(self, phone: str, consent_given: bool) -> str:
"""
Build contact and consent section.
Args:
phone: Patient's phone number
consent_given: Whether patient gave consent for spiritual care contact
Returns:
Formatted contact section string
Requirements: 2.6, 2.7
"""
sections = []
# Add consent information (Requirement 2.6)
if consent_given:
sections.append("The patient has given consent to be contacted by the spiritual care team")
else:
sections.append("The patient has not yet provided consent for spiritual care contact")
# Add contact information (Requirement 2.7)
if phone and phone.strip():
sections.append(f"The preferred contact number is {phone}")
else:
sections.append("No contact number is currently available")
return ". ".join(sections)
def add_patient_quote_section(self, quote: str) -> str:
"""
Add patient quote section as separate line.
Args:
quote: Direct quote from patient input
Returns:
Formatted patient quote section
Requirements: 2.8
"""
if not quote or not quote.strip():
return ""
# Format: "Patient reported: [patient input here]"
return f"Patient reported: \"{quote.strip()}\""
def format_enhanced_summary(
self,
patient_data: PatientData,
classification_data: ClassificationData
) -> str:
"""
Format complete enhanced summary with paragraph and quote.
Args:
patient_data: Patient information and context
classification_data: Classification and consent information
Returns:
Complete formatted summary with paragraph and quote sections
Requirements: 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8
"""
# Generate main coherent paragraph
main_paragraph = self.format_coherent_paragraph(patient_data, classification_data)
# Generate patient quote section (Requirement 2.8)
quote_section = self.add_patient_quote_section(patient_data.patient_input)
# Combine paragraph and quote
if quote_section:
return f"{main_paragraph}\n\n{quote_section}"
else:
return main_paragraph
def format_from_provider_summary(self, summary: ProviderSummary) -> str:
"""
Format coherent paragraph from existing ProviderSummary object.
This method bridges the existing ProviderSummary structure with the new
coherent paragraph formatting requirements by using the enhanced method
in ProviderSummaryGenerator.
Args:
summary: Existing ProviderSummary object
Returns:
Formatted coherent paragraph
Requirements: 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8
"""
# Import here to avoid circular imports
from src.core.provider_summary_generator import ProviderSummaryGenerator
# Create a temporary generator instance to use the enhanced formatting
temp_generator = ProviderSummaryGenerator()
# Use the enhanced format_coherent_paragraph method
return temp_generator.format_coherent_paragraph(summary) |