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Abstraction layer for PostgreSQL database manipulation based on the psycopg2 package

Project description

Easy Postgres

Abstraction layer for PostgreSQL database manipulation based on the psycopg2 package

Primary focuses are lightweight API and high flexibility when it comes to handling user input. This should make the package very easy to use while maintaining a usable performance level.


WARNING: Work in Progress

This package is currently under heavy development and should NOT be used in production. The current API is very likely to change in the near future.

How To Use

Connection class

To do anything, you must first create an instance of the Connection class. Give the instructor a DSN. The DSN can take many forms, so please check the psycopg2.connect function documentation for more details.

Once you have a Connection, you are ready to run any common SQL query (SELECT, INSERT, UPDATE, DELETE should definitely work; the rest should probably work, but it is not guaranteed). method

Executes the specified SQL query and returns nothing (None). This is the right choice for all non-returning queries (INSERT, UPDATE, DELETE, DROP, etc.). An INSERT query with a RETURNING clause should use the method instead. method

Executes the specified SQL query and returns a single row. If the returned row only has a single column, the single value will be returned. In the case of multiple returned columns, a tuple containing all the column values will be returned.

If the number of returned rows is not exactly equal to one, None will be returned instead.

This method is meant to be used for SQL queries that are guaranteed to always return exactly one row (e.g., SELECT COUNT(*) FROM table;, INSERT INTO table (id) VALUES (1) RETURNING id;).

SQL Query Returned Result
SELECT 'Hello World!'; "Hello World!"
SELECT 'Hello', 'World!'; ("Hello", "World!")
SELECT 1, 2; (1, 2)
SELECT 1, 2, 3, 4, 5; (1, 2, 3, 4, 5)

Connection.all method

Executes the specified SQL query and returns all the rows as a list. Single-column results will be converted to a list of the column's values. The behavior is similar to the method.

This method is mostly meant to be used for SELECT queries that may return more (or less) than one row.

Connection.iter method

Executes the specified SQL query and returns all the rows as a generator. This method is an alternative to Connection.all to be used when iterating over a large number of rows. The rows are fetched one at a time, so casting the generator to a list will give the same exact result as calling Connection.all would have, but it will likely be much slower.

Connection.XXX_dict methods

These methods execute the SQL queries just like their non-dict counterparts, but instead of returning a value or a tuple, they return a Dictionary instance.

It is advisable to give all the returned columns a unique name without any special characters (_ is the only allowed exception). If you include any special character in the column name or if the column name is a Python keyword (if, for, etc.) or the name of a built-in method name (__init__, __str__, etc.), the column value will become inaccessible as an attribute, or worse yet, some functionality of the Dictionary class may be broken. Please keep this in mind when using the XXX_dict methods.

Dictionary class

An extension of the Python's built-in dict class. It makes the items accessible via attributes (the item's key is used as the attribute name). There are several limitations, but the code should be slightly more readable. The support for the default dictionary item access (via an index) remains.

A Dictionary can be initialized from a regular dictionary, using keyword arguments or a combination of both.

Accessing Items

For the purpose of this example, imagine you ran an SQL query that returned a single row as a Dictionary. The query result is stored in a variable called result. Now you want to print the value of the price column. Here is a comparison of dict and Dictionary.

Access Method Standard dict Dictionary
Index print(result["price"]) print(result["price"])
Attribute N/A print(result.price)

You can use whichever way of accessing the items you prefer. If you want, you can even cast the Dictionary back to a dict for better compatibility. Being able to access items as attributes simply seems more convenient and easier to read.

Transaction class

This class can be used to execute several SQL queries in a series without intermediate commits. If an exception occurs during any of the queries, all the changes made during the transaction will be rolled back. Otherwise, the changes will be committed all at once when you exit the transaction block. This prevents committing only partial changes when an error occurs, which could lead to an unexpected state of the database.

Keep in mind that this Transaction class is by no means related to the SQL TRANSACTION.

Instances of this class are only meant to be used in the head of with blocks (see code below for intended usage). It is preferable to create a Transaction by calling the Connection.transaction method instead of calling the constructor manually (even though there is no difference as of writing this). Please do not create multiple Transactions at once using the same Connection.

conn = Connection("postgresql:///db")
with conn.transaction():
    row_id ="INSERT INTO table (id, value) VALUES (10, 'Hello World!') RETURNING id;")
    prev_id ="SELECT MAX(id) FROM table WHERE id < %s;", row_id)"UPDATE table SET value = 'New Value' WHERE id = %s;", prev_id)

This is perhaps kind of a silly code, but it demonstrates the functionality. If one of the queries fails (throws an exception), no changes will be committed. If they all succeed, the changes will be made after the last query is executed and the with block is exited.


This package is available under the MIT License.

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