Parameters
main(q, d, m): The primary function that takes in the Question (q), Domain (d), and Medical (m) parameters and returns the Answer (a) and Grade (grade).
• Decision Logic: Implements the conditional logic as per the pseudocode to determine the appropriate answer a.
• answer_content(): A placeholder function to generate the answer content c.
• retrieve_documents(): A placeholder function to simulate document retrieval r.
• define_ability(answer_content): Grades the ability based on the answer content c.
• reflect(answer_content, documents): Reflects on the answer content and documents to provide a grade grade_Re.
• Example Usage: At the end, there’s an example of how to use the main function with sample inputs.
Python Implementation
def main(q, d, m):
# Initialize variables
a = None # Answer
c = None # Grade of Answer Content
# Decision logic based on question type, domain, and medical flag
if (q == "Informational" or q == "Open-Ended") and (d == "Yes") and (m == "Yes"):
a = "Direct or Elaborated"
elif (q == "Any") and (d == "No"):
if m == "No":
a = "(deferred) Dialogue Reset"
elif m == "Yes":
a = "(deferred) Refer To Specialist"
# Generate answer content
c = answer_content()
# Retrieve relevant documents
r = retrieve_documents()
# Grade the ability and reflection based on the content and documents
grade_Ab = define_ability(c)
grade_Re = reflect(c, r)
# Compile the grades into a dictionary
grade = {"Ab": grade_Ab, "Re": grade_Re}
# Return the answer and the grades
return a, grade
def answer_content():
"""
Generates the answer content.
"""
# Placeholder implementation
return "Sample Answer Content"
def retrieve_documents():
"""
Retrieves relevant documents.
"""
# Placeholder implementation
return ["Document1", "Document2"]
def define_ability(answer_content):
"""
Grades the ability based on the answer content.
"""
# Placeholder grading logic
# For example, grade based on the length of the content
return len(answer_content)
def reflect(answer_content, documents):
"""
Reflects on the answer content and documents to provide a grade.
"""
# Placeholder reflection logic
# For example, grade based on the number of documents retrieved
return len(documents)
# Example usage:
if __name__ == "__main__":
q = "Informational"
d = "Yes"
m = "Yes"
answer, grades = main(q, d, m)
print("Answer:", answer)
print("Grades:", grades)