docs: update of SDK docs site build

docs/requirements.txt

@@ -1,6 +1,9 @@
-pydantic
-httpx
+pydantic[dotenv]
+httpx[http2]
 aiorwlock
-async_property
+async-property
 readerwriterlock
-sqlparse
+sqlparse
+appdirs
+appdirs-stubs
+cryptography

docsrc/Connecting_and_queries.rst

@@ -0,0 +1,277 @@
+
+###############################
+Connecting and running queries
+###############################
+
+This topic provides a walkthrough and examples for how to use the Firebolt Python SDK to connect to Firebolt resources to run commands and query data. 
+
+
+Setting up a connection
+=========================
+
+To connect to a Firebolt database to run queries or command, you must provide your account credentials through a connection request. 
+
+To get started, follow the steps below: 
+
+**1. Import modules**
+
+	The Firebolt Python SDK requires you to import the following modules before making any command or query requests to your Firebolt database. 
+
+.. _required_connection_imports:
+
+	:: 
+
+		from firebolt.db import connect
+		from firebolt.client import DEFAULT_API_URL
+
+
+.. _connecting_with_credentials_example:
+
+**2. Connect to your database and engine**
+
+
+	Your account information can be provided as parameters in a ``connection()`` function. 
+
+	A connection requires the following parameters: 
+
+	+------------------------------------+-------------------------------------------------------------------+
+	| ``username``                       |  The email address associated with your Firebolt user.            |
+	+------------------------------------+-------------------------------------------------------------------+
+	| ``password``                       |  The password used for connecting to Firebolt.                    |
+	+------------------------------------+-------------------------------------------------------------------+
+	| ``database``                       |  The name of the database you would like to connect to.           |
+	+------------------------------------+-------------------------------------------------------------------+
+	| ``engine_name`` or ``engine_url``  |  The name or URL of the engine to use for SQL queries.            |
+	|                                    |                                                                   |
+	|                                    |	If the engine is not specified, your default engine is used.     |
+	+------------------------------------+-------------------------------------------------------------------+
+
+	This information can be provided in multiple ways.
+
+		* **Set credentials manually**
+
+			You can manually include your account information in a connection object in your code for any queries you want to request. 
+
+			Replace the values in the example code below with your Firebolt account credentials as appropriate. 
+
+			::
+
+				username = "your_username"
+				password = "your_password"
+				engine_name = "your_engine"
+				database_name = "your_database"
+
+				connection = connect( 
+					engine_name=engine_name,
+					database=database_name,
+					username=username,
+					password=password,
+				)
+
+				cursor = connection.cursor()
+
+
+		* **Use an .env file**
+
+			Consolidating all of your Firebolt credentials into a ``.env`` file can help protect sensitive information from exposure. Create an ``.env`` file with the following key-value pairs, and replace the values with your information. 
+
+			::
+
+				FIREBOLT_USER="your_username"
+				FIREBOLT_PASSWORD="your_password"
+				FIREBOLT_ENGINE="your_engine"
+				FIREBOLT_DB="your_database"
+
+			Be sure to place this ``.env`` file into your root directory. 
+
+			Your connection script can load these environmental variables from the ``.env`` file by using the `python-dotenv <https://pypi.org/project/python-dotenv/>`_ package. Note that the example below imports the ``os`` and ``dotenv`` modules in order to load the environmental variables.   
+
+			::
+
+				import os
+				from dotenv import load_dotenv
+
+				load_dotenv()
+
+				connection = connect(
+					username=os.getenv('FIREBOLT_USER'),
+					password=os.getenv('FIREBOLT_PASSWORD'),
+					engine_name=os.getenv('FIREBOLT_ENGINE'),
+					database=os.getenv('FIREBOLT_DB')
+				)
+
+				cursor = connection.cursor()
+
+
+**3. Execute commands using the cursor**
+
+	The ``cursor`` object can be used to send queries and commands to your Firebolt database and engine. See below for examples of functions using the ``cursor`` object. 
+
+Command and query examples
+============================
+
+This section includes Python examples of various SQL commands and queries. 
+
+
+Inserting and selecting data
+-----------------------------
+
+.. _basic_execute_example:
+
+The example below uses ``cursor`` to create a new table called ``test_table``, insert rows into it, and then select the table's contents. 
+
+The engine attached to your specified database must be started before executing any queries. For help, see :ref:`starting an engine`. 
+
+::
+
+	cursor.execute(
+    		'''CREATE FACT TABLE IF NOT EXISTS test_table (
+    			id INT, 
+    			name TEXT 
+    			) 
+    			PRIMARY INDEX id;'''
+		)
+
+	cursor.execute(
+    		'''INSERT INTO test_table VALUES 
+    			(1, 'hello'),
+    			(2, 'world'),
+    			(3, '!');'''
+		)
+
+	cursor.execute(
+			'''SELECT * FROM test_table;'''
+		)
+
+	cursor.close()
+
+.. note:: 
+
+	For reference documentation on ``cursor`` functions, see :ref:`Db.cursor` 
+
+
+Fetching query results
+-----------------------
+
+After running a query, you can fetch the results using a ``cursor`` object. The examples below use the data queried from ``test_table`` created in the :ref:`Inserting and selecting data`. 
+
+.. _fetch_example:
+
+::
+
+	print(cursor.fetchone())
+
+**Returns**: ``[2, 'world']``		
+
+::
+
+	print(cursor.fetchmany(2))
+
+**Returns**: ``[[1, 'hello'], [3, '!']]``
+
+::
+
+	print(cursor.fetchall())
+
+**Returns**: ``[[2, 'world'], [1, 'hello'], [3, '!']]``
+
+
+Executing parameterized queries
+---------------------------------
+
+.. _parameterized_query_execute_example:
+
+Parameterized queries (also known as “prepared statements”) format a SQL query with placeholders and then pass values into those placeholders when the query is run. This protects against SQL injection attacks and also helps manage dynamic queries that are likely to change, such as filter UIs or access control. 
+
+To run a parameterized query, use the ``execute()`` cursor method. Add placeholders to your statement using question marks ``?``, and in the second argument pass a tuple of parameters equal in length to the  number of ``?`` in the statement.
+
+
+:: 
+
+	cursor.execute(
+		'''CREATE FACT TABLE IF NOT EXISTS test_table2 (
+			id INT,
+			name TEXT, 
+			date_value DATE
+		)
+			PRIMARY INDEX id;'''
+		)
+
+
+::
+
+	cursor.execute(
+		"INSERT INTO test_table2 VALUES (?, ?, ?)",
+			(1, "apple", "2018-01-01"),
+		)
+
+	cursor.close()
+
+.. _parameterized_query_executemany_example:
+
+If you need to run the same statement multiple times with different parameter inputs, you can use the ``executemany()`` cursor method. This allows multiple tuples to be passed as values in the second argument.
+
+::
+
+	cursor.executemany(
+		"INSERT INTO test_table2 VALUES (?, ?, ?)",
+		(
+			(2, "banana", "2019-01-01"), 
+			(3, "carrot", "2020-01-01"), 
+			(4, "donut", "2021-01-01")
+		)
+	)
+
+	cursor.close()
+
+
+
+Executing multiple-statement queries
+--------------------------------------
+
+Multiple-statement queries allow you to run a series of SQL statements sequentially with just one method call. Statements are separated using a semicolon ``;``, similar to making SQL statements in the Firebolt UI.
+
+:: 
+
+	cursor.execute(
+		"""
+			SELECT * FROM test_table WHERE id < 4;
+			SELECT * FROM test_table WHERE id > 2;
+		"""
+		)
+	print("First query: ", cursor.fetchall())
+	assert cursor.nextset()
+	print("Second query: ", cursor.fetchall())
+	assert cursor.nextset() is None
+
+	cursor.close()
+
+**Returns**: 
+
+:: 
+
+	First query:  [[2, 'banana', datetime.date(2019, 1, 1)], [3, 'carrot', datetime.date(2020, 1, 1)], [1, 'apple', datetime.date(2018, 1, 1)]]
+	Second query:  [[3, 'carrot', datetime.date(2020, 1, 1)], [4, 'donut', datetime.date(2021, 1, 1)]]
+
+.. note:: 
+
+	Multiple statement queries are not able to use placeholder values for parameterized queries. 
+
+
+Using DATE and DATETIME values
+---------------------------------
+
+DATE, DATETIME and TIMESTAMP values used in SQL insertion statements must be provided in a specific format; otherwise they could be read incorrectly. 
+
+* DATE values should be formatted as **YYYY-MM-DD** 
+
+* DATETIME and TIMESTAMP values should be formatted as **YYYY-MM-DD HH:MM:SS.SSSSSS**
+
+The `datetime <https://docs.python.org/3/library/datetime.html>`_ module from the Python standard library contains various classes and methods to format DATE, TIMESTAMP and DATETIME data types. 
+
+You can import this module as follows:  
+
+:: 
+
+	from datetime import datetime
+