Converting python sqlalchemy queries to SQL syntax

Currently, I'm involved in an assignment that requires the management of a collection of PostgreSQL databases related to a school district. One of my tasks is to update the new field student_gpas, which is an array designed to store unique student GPAs. To accomplish this using Python and SQLAlchemy, I have written the following code:

schools = db.session.query(School).filter(school.is_selected == true).all()
For sch in schools:
  grades = db.session.query(Grade).filter(grade.school_id == sch.id).all()
  For gr in grades:
    classes = db.session.query(Class).filter(class.grade_id == grades.id).all()
    For cl in classes:
      students = db.session.query(Student).filter(student.class_id == cl.id).all()
      For st in students:
        If st.gpa not in gr.student_gpas:
          gr.student_gpas.append(st.gpa)

If I were to transform this code snippet into one lengthy and intricate SQL statement, what would be the ideal approach?

Answer №1

If you want to view the output that is being generated, simply initialize the engine with the echo=True flag.

According to the documentation on SQLAlchemy's website[1]:

from sqlalchemy import create_engine
engine = create_engine('sqlite:///:memory:', echo=True)

The echo flag serves as a shortcut for setting up SQLAlchemy logging using Python’s standard logging module. By enabling it, we can observe all the SQL statements that are being generated.

[1]

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