IT 117: Intermediate Scripting

IT 117: Intermediate Scripting
Class 16

Review

Reusing Functions with Modules
Importing Modules
Dot Notation with Module Functions

New Material

Microphone

Homework 7

I have posted homework 7 here.

It is due this Sunday at 11:59 PM.

Midterm

I will start scoring the Midterm tomorrow.

I hope to be finished by Monday.

Quiz Next Week

There will be a graded quiz next week.

It will cover material from today's class and Class 13.

Announcements

Today we will be discussing how to use Python to access a SQLite database.

I am doing this to show you how Python can be used with other sources of information.

In order to do this, I need to discuss some features of Structured Query Language (SQL).

This is not a database course, so you will not be required to remember this on the Final Exam.

Questions

Are there any questions before I begin?

Review

Reusing Functions with Modules

When writing a script I usually define several functions
Sometimes I realize these functions can be used in other scripts
When this happens, I copy the function into a module ...
so I can use these functions in other places

Here are some of the functions in my utilities.py module

import sys

# opens a file for reading if it can
# otherwise quits
def open_file_read(filename):
    try:
        file = open(filename, "r")
    except:
        print("Cannot open", filename)
        sys.exit()
    else:
        return file

# opens a file for writing
def open_file_write(filename):
    try:
        file = open(filename, "w")
    except:
        print("Could not open", filename)
        sys.exit()
    else:
        return file

Importing Modules

In order to import a module it must be in one of two locations
- The same directory as the script
- In a directory listed in PYTHONPATH
PYTHONPATH is a shell variable
It contains a list of directories where modules are stored
A : appears between each directory path
Here is the value of my PYTHONPATH on pe15.cs.umb.edu
```
$ echo $PYTHONPATH
/home/ghoffman/bin/python
```

In that directory are the two modules I use in my scripts

 $ ls -1 $PYTHONPATH
...
students.py
...
utilities.py
...

Dot Notation with Module Functions

To use the functions in the utilities.py module I have to import it
```
import utilities
```
To call one of these functions, I would need to use dot notation
```
file = utilities.open_file_read(filename)
```
For functions I use a lot, this can be tedious
Python provides an alternative form of the import statement
```
from MODULE import *
```
If I import like this
```
from utilities import *
```
I can call a function in the utilities module ...
by simply using its name
```
file = open_file_read(filename)
```
I do not have to use dot notation

Attendance

New Material

Python as a Tool

Python has many modules that can be used for specific purposes
This is one reason Python is so popular
In IT 116 you saw that Python comes with the random module
This modules contains function for creating pseudorandom numbers
Pseudorandom numbers are very important in gaming ...
and in creating simulations
Statistics is important in many areas of business, science and economics
The statistics module is part of the Python Standard Library
Similarly, Python has modules that work with various database products

Working with Data

Computers are particularly good at dealing with large amounts of data
This data is contained in files
The data in files usually has a structure
But that structure is not contained in the file itself
You have to know the structure before you can process the data
Files must be read into memory and stored in some sort of data structure
A data structure is an arrangement of data ...
that allows you to get information efficiently
Lists and dictionaries are data structures
If the amount of data is large and needs to be used repeatedly ...
it is usually stored in a database
Modern database products usually employ SQL (Structured Query Language)

Database Products

There a many database products in common use
- Oracle
- MySQL
- DB2
- Postgres
- SQL Server
Each of these products uses SQL ...
which is a language designed to work with relational databases
All of these products run as stand alone services on a server
They need a database administrator to keep them running smoothly
To use a database you must obtain an account from the administrator
You also need permission from the administrator ...
to access to the different parts of the database
Each of these database engines runs inside its own process
Client applications run on other machines ...
which talk to the server over a network
The situation looks like this

SQLite

The database products listed above are used in big commercial enterprises
Such environments always have database administrators
You need permission from the administrator to use these databases
This makes it harder to experiment ...
and try new things
SQLite is an open source package that take a different approach
SQLite actually runs inside the same process ...
that runs the program that calls it

This makes SQLite much more flexible
This is why it is used in the Mac OS ...
and many mobile phone applications
The information in a SQLite database is stored in a single file
The programmer writing the application creates this file
There is no system administrator involved
SQLite is not good for large applications ...
where many users need simultaneous access
But it is a great learning environment
We will be using SQLite to show how Python can work with a database
We will do this using the sqlite3 module

The SQLite Command Line

All SQL database products have a command line
On this command line you write SQL statements ...
to interact with the database

On our systems you get a SQLite command line like this

$ sqlite3 
SQLite version 3.16.0 2016-11-04 19:09:39
Enter ".help" for usage hints.
Connected to a transient in-memory database.
Use ".open FILENAME" to reopen on a persistent database.
sqlite>

sqlite> is the SQLite prompt
It tells you sqlite is ready to receive your SQL command

Database Structure

All the data in a SQL database are stored in tables
The rows of a database are individual records ...
and the columns are fields within that record

Here is a table whose records contain student data

sqlite> select * from students;
student_id  first_name  last_name   umb_email              user_name   college   
----------  ----------  ----------  ---------------------  ----------  ----------
09329034    Jane        Adams       Jane.Adams001@umb.edu  jadams      CSM       
03687480    Alexander   Smith       Alexander.Smith001@um  bigboy      CM        
05431692    Christophe  Cannon      Christopher.Cannon001  ccannon     CSM       
07511379    Joseph      Malloney    Joseph.Malloney001@um  jmal        CSM       
07518979    Fatih       Jones       Fatih.Jones001@umb.ed  fjones      CM        
04175276    James       Reynolds    James.Reynolds001@umb  jr          CSM

Different tables contain data on different things

Here is a table listing the students enrolled in different sections

sqlite> select * from enrollments;
id          course_id   section_no  semester_id  student_id
----------  ----------  ----------  -----------  ----------
1            it116      1            s17          05431692 
2            it116      1            s17          09329034 
3            it116      1            s17          07518979 
4            it244      1            s17          07511379 
5            it244      1            s17          09329034 
6            it244      1            s17          04175276 
7            it116      1            sum17        03687480 
8            it116      1            sum17        07511379 
9            it116      1            sum17        07518979 
10           it117      1            f18          07518979 
11           it117      1            f18          05431692 
12           it117      1            f18          09329034

Tables usually have one column where the values are unique
This column is called the primary key
The values in this column are usually integers ...
and are assigned automatically by the database
One advantage of this structure is that it eliminates data duplication
I do not have to store the first and last name of a student in the enrollment table ...
because that data is held in the students table
To get the data for a student, all you need is the primary key ...
of the appropriate record in the students table
The column that stores this key in enrollment is called a foreign key

Data Checking

Every column in a database has certain restrictions on the values it can hold
The database will not allow you to enter the wrong kind of data in a field
The most elementary restriction is the data type of the value

Here is the definition for the student table

create table students 
(   student_id  text primary key unique,  
    first_name  text not null,
    last_name   text not null,
    umb_email   text not null unique,
    email       text unique,
    user_name   text unique,
    college     text
);

Most database tables also allow you to set additional restrictions on fields
For example, you can restrict the values to a specific range ...
or insist that values be dates

Queries

To get information from a table you write a SQL query

A SQL query often has the following form

select COLUMN_LIST from TABLE_NAME where RESTRICTIONS;

To get the student ID, first and last name of students in the College of Management ...

I would write

sqlite> select student_id, first_name, last_name from students where college = "CM";
student_id  first_name  last_name 
----------  ----------  ----------
03687480    Alexander   Smith     
07518979    Fatih       Jones

All SQL statements MUST have a semicolon, ; , at the end

Joins

The query above only shows data from one table
But sometimes we want results that contain data from more than one table
What if I wanted the name and email address of every student in IT 117 for Fall 2017?

I can get some of this information from the enrollments table

sqlite> select * from enrollments where course_id = "it117" and semester_id = "f18";
id          course_id   section_no  semester_id  student_id
----------  ----------  ----------  -----------  ----------
10          it117       1           f18          07518979
11          it117       1           f18          05431692 
12          it117       1           f18          09329034

But the name and email address are stored in the students table
I need to write a query which collects data from two different tables
A query that gets data from more than one table is called a join
There are different kinds of joins, but the inner_join is the most common
An inner join returns information in two different tables ...
based on key values they have in common
In the results above, the id column is the primary key for enrollments
But course_id, semester_id and student_id are primary keys in other tables
When a table contains a key value from another table it is called a foreign key
To get the names and email address of the students in IT 117 in Fall 2017 ...
I can use the student_id from the enrollments table ...
and the semester_id to limit the output to Fall 2017

Here is the query

sqlite> select enrollments.student_id, students.first_name, students.last_name, students.umb_email
   ...> from enrollments
   ...> inner join students
   ...> on enrollments.student_id = students.student_id
   ...> where course_id = "it117" and semester_id = "f18";
student_id  first_name  last_name   umb_email             
----------  ----------  ----------  ----------------------
07518979    Fatih       Jones       Fatih.Jones001@umb.edu
05431692    Christophe  Cannon      Christopher.Cannon001@
09329034    Jane        Adams       Jane.Adams001@umb.edu

Views

The query above is quite complicated
And I might want to run a similar query each semester ...
for each course I teach
Instead writing new queries, I can create a view to get the data I want
A view is predefined query that is stored in the database
You can run a query on a view as if it were a table
So a view is like a virtual table
Here is the definition of a view called students_enrollments_vw

It combines data from both students and enrollments

create view students_enrollments_vw as
    select  enrollments.student_id, 
            students.first_name, 
            students.last_name, 
            students.umb_email, 
            enrollments.course_id,
            enrollments.semester_id
        from enrollments inner join students
            on enrollments.student_id = students.student_id;

This view is very long and complicated

But now that I have it, getting data for students in a section is much easier

sqlite> select first_name, last_name, umb_email from students_enrollments_vw
   ...> where course_id = "it117" and semester_id = "f18";
first_name  last_name   umb_email             
----------  ----------  ----------------------
Fatih       Jones       Fatih.Jones001@umb.edu
Christopher  Cannon      Christopher.Cannon001@
Jane        Adams       Jane.Adams001@umb.edu

Changing Data in a Table

There are special SQL commands for changing data in a table
There are three ways you can change what is in a table
- Add a record
- Delete a record
- Change the values in a record
Each of these operations has its own SQL command

Adding a Record to a Table

To add a record to a table you must use the SQL insert command ...

which has the following syntax

insert into TABLE_NAME (COLUMN_LIST) values (VALUE_LIST);

If you are adding a row with values for every column ...
you can skip the (COLUMN_LIST)
Let's say I want to add a student to a Fall 2017 section of IT 244

Here is the definition of the enrollments table

create table enrollments
(   id          integer primary key,
    course_id   text not null references courses(course_id),
    section_no  integer not null,
    semester_id text not null references semesters(semester_id),
    student_id  text not null references students(student_id),
    unique (student_id, course_id, semester_id)
);

A table field that is marked integer primary key is special
SQLite will automatically supply the next available integer value in this field ...
but only if you use the special value null in your insert statement
null is a special database value that means no information

To insert a new row into enrollments I can write

sqlite> insert into enrollments values(null, "it244", 1, "f18", "05431692");

If you get no error message the command was successful

You can confirm that the row has been added with a query

sqlite> select * from enrollments where course_id = "it244" and semester_id = "f18";
id          course_id   section_no  semester_id  student_id
----------  ----------  ----------  -----------  ----------
13          it244       1           f18          05431692

Changing the Values in a Record

A SQL update command is used to change values

It has the following format

update TABLE_NAME set COLUMN_VALUE_PAIRS  where CONDITION

COLUMN_VALUE_PAIRS are a column name, an equal sign, and a value
If I wanted to change the username for Alexander Smith to "alex" I would write
```
update students set user_name = "alex" where student_id = "03687480";
```
If you get no error message, the change was successful

But a query will show that the change worked

select * from students where student_id = "03687480";
student_id  first_name  last_name   umb_email                   user_name   college   
----------  ----------  ----------  --------------------------  ----------  ----------
03687480    Alexander   Smith       Alexander.Smith001@umb.edu  alex        CM

You can change more than one record with a single update command
If it wanted to change the college of students not in the College of Management ...
to the College of Science and Mathematics

I would write

sqlite> update students set college = "CSM" where college != "CM";
sqlite> select * from students where college != "CM";
student_id  first_name  last_name   umb_email              user_name   college   
----------  ----------  ----------  ---------------------  ----------  ----------
09329034    Jane        Adams       Jane.Adams001@umb.edu  jadams      CSM       
03687480    Alexander   Smith       Alexander.Smith001@um  alex        CSM       
05431692    Christophe  Cannon      Christopher.Cannon001  ccannon     CSM       
07511379    Joseph      Malloney    Joseph.Malloney001@um  jmal        CSM       
07518979    Fatih       Jones       Fatih.Jones001@umb.ed  fjones      CSM       
04175276    James       Reynolds    James.Reynolds001@umb  jr          CSM

Deleting Records

A SQL delete command is used to remove a record from a table
It has the format
```
delete from TABLE_NAME where CONDITION
```

To delete all students registered for IT 244 in Fall 2017 I would write

sqlite> delete from enrollments where course_id = "it244" and semester_id = "f18";

If no error message appears, the statement succeeded

Using SQLite in Python

To use SQLite in Python you must import the sqlite3 module

>>> import sqlite3 
>>> sqlite3 
<module 'sqlite3' from '/usr/lib/python3.5/sqlite3/__init__.py'>

This module is contained in the Python standard library

Connecting to a SQLite Database

To work with a file you need to create a file object
To use SQLite in a Python script you need to create a connection object
You create this object using the connect function
The argument to connect is the filename of the SQLite database
connect creates a connection object to the database ...
and returns a pointer to it

The format for using this function is

CONNECTION_OBJECT_VARIABLE = sqlite3.connect(DATABASE_FILENAME)

If my SQLite database were contained in the file umb.db in my current directory ...

I would create a connection object to it like this

>>> import sqlite3 
>>> con = sqlite3.connect("umb.db")

The SQLite Cursor Object

To run a SQLite command you need to create a cursor object
You then use the execute method of this object run a SQL command
You create a cursor object using the cursor method ...
of the connection object
This method creates the cursor object ...
and returns a pointer to it

The format is

CURSOR_OBJECT_VARIABLE = CONNECTION_OBJECT_VARIALE.cursor()

If I had a variable named con pointing to a connection object ...
I would create a cursor object object like this
```
>>> cur = con.cursor()
```

Running a SQLite Query in Python

You run an SQL query in SQLite using execute
The argument to execute is the text of your SQL query
The query must be enclosed in quotes ...
but does not need to have a semicolon at the end

To get the contents of the students table I would write

>>> import sqlite3 
>>> con = sqlite3.connect("umb.db")
>>> cur = con.cursor()
>>> cur.execute("select * from students")

The results of this query are stored in the cursor object
This cursor object has all the rows returned by the query inside it

So I can use the variable that points to the cursor object in in a for loop

>>> for row in cur:
...     print(row)
... 
('09329034', 'Jane', 'Adams', 'Jane.Adams001@umb.edu', 'jadams', 'CSM')
('03687480', 'Alexander', 'Smith', 'Alexander.Smith001@umb.edu', 'bigboy', 'CM')
('05431692', 'Christopher', 'Cannon', 'Christopher.Cannon001@umb.edu', 'ccannon', 'CSM')
('07511379', 'Joseph', 'Malloney', 'Joseph.Malloney001@umb.edu', 'jmal', 'CSM')
('07518979', 'Fatih', 'Jones', 'Fatih.Jones001@umb.edu', 'fjones', 'CM')
('04175276', 'James', 'Reynolds', 'James.Reynolds001@umb.edu', 'jr', 'CSM')

So a cursor object can be used in a for loop ...
just like a file object

Adding a Record Using SQLite

To add a record you again use the execute method
The argument is the text of an SQL insert command

Here is an example

>>> cur.execute("insert into enrollments values(null, "it244", 1, "f18", "05431692")")
<sqlite3.Cursor object at 0x7febd141aab0>

The result marked in red means the that the insertion succeeded
If the SQL command failed we would get an error message
The SQL statement that created the enrollment table ...

contained the following condition

unique (student_id, course_id, semester_id)

This means the table cannot have two entries ...
where the student ID, course ID and semester ID are the same

If we try to do so we will get an error message

>>> cur.execute("insert into enrollments values(null, "it244", 1, "f18", "05431692")")
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
sqlite3.IntegrityError: UNIQUE constraint failed: enrollments.student_id, enrollments.course_id, enrollments.semester_id

Committing Changes to a Table

If we get no error message after running a SQL insert command ...
a row has been added to the table ...
but only to the copy of the table in RAM
The table on disk will not be changed ...
unless we run the commit method on the cursor object ...
like this
```
con.commit()
```
This may seem like an extra step
But it is needed to maintain the integrity of the database
It allows you to go back to a previous version of the table ...
if you make a serious mistake
If you don't run commit after you have made changes to a table
The table will NOT change

Changing a Record Using SQLite

To change a record we give an update command to execute ...

like this

>>> cur.execute("update students set user_name = "alex" where student_id = "03687480")
<sqlite3.Cursor object at 0x7f15373ffb20>

The results in red show that the changes have been made in RAM
We would then need to run commit ...
to change the copy of the table on disk

Deleting a Record Using SQLite

To delete a record, give execute a SQL delete statement

Like this

cur.execute("delete from enrollments  where course_id = "it244", section_no = 1, semester = "f18", student_id = "05431692")
<sqlite3.Cursor object at 0x7f15373ffb20>>

Then call commit

Writing Python Code to Work with SQLite

To work with a SQLite database in Python I would first create the tables
I would do this at the SQLite command line
Then for each table I would write functions to
- Add a record
- Delete a record
- Change the values of fields
- Select records from the table
I would put these functions in a module ...
that I would import into any script working with these tables
I would still have to write the SQL statements
But the functions would handle the mechanics of talking to SQLite

A Python Function to Add an Entry to the enrollment Table

The SQL statement to add a student to the enrollments table ...

would have this format

insert into enrollments values (null, COURSE_ID, SECTION_NO, SEMESTER_ID, STUDENT_ID)

So the function to add an entry must do the following
- Create a string containing the SQL insert statement
- Create a cursor
- Call the execute method on the using the statement as an argument

Here is the code

def enrollment_add(con, course_id, section_no, semester_id, student_id):
    stmnt = "insert into enrollments values(null, " + course_id + ", "   + str(section_no) +\
                 ", "  +  semester_id + ", " + student_id + ")"
    cur = con.cursor()
    cur.execute(stmnt)
    cur.close()

Note that you would have to create a connection object ...
before calling this function

Parameter Binding with sqlite3

In the function above most of the work was constructing the SQL command
I had to give values to all the fields ...
and put these values inside quotes
Then I had to assemble the SQL statement using concatenation
Fortunately, there is another way to do this
It relies on a feature of execute called parameter binding
When execute is used with parameter binding it takes two arguments
The first argument is a SQL statement ...
where specific values are replaced by placeholders
A placeholder is a group of characters within in larger string ...
which stand in place of the actual values
The placeholders are replaced by values at a later time
The second argument is a tuple containing the values for the placeholders
execute provides two types of parameter binding
But the simplest uses ? as a placeholder
Using this approach, the first argument to execute would be
```
insert into enrollments values(null, ?, ?, ?, ?)
```
The second argument would be the tuple holding values

Using parameter binding the new version of enrollment_add looks like this

def enrollment_add(con, course_id, section_no, semester_id, student_id):
    cur = con.cursor()
    cur.execute("insert into enrollments values(null, ?, ?, ?, ?)", (course_id, section_no, semester_id, student_id))
    cur.close()

Responsibility of IT Professionals

Review

New Material

Homework 7

Midterm

Quiz Next Week

Announcements

Questions

Review

Reusing Functions with Modules

Importing Modules

Dot Notation with Module Functions

Attendance

New Material

Python as a Tool

Working with Data

Database Products

SQLite

The SQLite Command Line

Database Structure

Data Checking

Queries

Joins

Views

Changing Data in a Table

Adding a Record to a Table

Changing the Values in a Record

Deleting Records

Using SQLite in Python

Connecting to a SQLite Database

The SQLite Cursor Object

Running a SQLite Query in Python

Adding a Record Using SQLite

Committing Changes to a Table

Changing a Record Using SQLite

Deleting a Record Using SQLite

Writing Python Code to Work with SQLite

A Python Function to Add an Entry to the enrollment Table

Parameter Binding with sqlite3

Class Exercise

Class Quiz