SWML Python SDK
The SWML Python SDK allows you to generate SWML (SignalWire Markup Language) in Python. SWML is a markup language used to control phone call behavior. This SDK provides classes for each SWML instruction and a convenient way to build sections and responses.
Installation
You can install the SWML Python SDK via pip:
pip install swml-pythonDocumentation
For more details on SWML, please visit the official SignalWire SWML documentation.
Getting Started
To generate SWML with the SDK, you'll first create an instance of SWMLResponse. This object represents an entire SWML response.
Within a response, you can create one or more "sections". Each section is a collection of instructions that are
executed in when called. You create a section using the add_section method and give it a name:
response = SignalWireML()
main_section = response.add_section('main')
other_section = response.add_section('other')Additionally, you can create a section by creating an instance of the Section class and adding it to the SignalWireML object:
main_section = Section('main')
response.add_section(main_section)Adding Instructions
Once you have a section, you can add instructions to it. Each instruction corresponds to a SWML verb, such as Answer, Hangup, or Play. You can add an instruction using the corresponding method on the section object:
response = SignalWireML()
main_section = response.add_section('main')
main_section.answer(max_duration=30)
main_section.play(url="https://example_1.com")
main_section.hangup()In this example, we've added three instructions to the main section: an Answer instruction, a Play instruction, and a Hangup instruction.
You can also add instructions by creating instances of the instruction classes and adding them to the section using the add_instruction method. This is useful when you need to create complex instructions that have many parameters or if you want to use the same instance declaration in multiple parts of your code:
send_sms_instance = SendSMS(to_number="+1XXXXXXXXXX", from_="+1XXXXXXXXXX", body="Message Body", media=["url1", "url2"],
region="us", tags=["Custom", "data"])
main_section.add_instruction(send_sms_instance)In addition, you can add raw SWML JSON to a section using the add_instruction method. This can be useful when you have existing SWML JSON that you want to include in a section:
raw_swml_json = '{"send_sms": {"to_number": "+1XXXXXXXXXX", "from": "+1XXXXXXXXXX", "body": "Message Body", "media": ["url1", "url2"], "region": "us", "tags": ["Custom", "data"]}}'
main_section.add_instruction(raw_swml_json)Generating SWML
Once you've added all the desired sections and instructions, you can generate the SWML from the response using the generate_swml method. This method has the option to output the SWML response in JSON or YAML format (defaults to JSON) utilizing the format parameter:
swml = response.generate_swml() # uses JSON as default
print(swml)
swml = response.generate_swml('yaml') # both 'json' and 'yaml' are valid values.
print(swml)You can also convert the response directly to a string to get a json response:
response = SignalWireML()
main_section = response.add_section('main')
main_section.answer()
main_section.hangup()
print(str(response))This will output a string of SWML that represents the response.
Full Example
Here's a full example that puts everything together:
from swml import *
response = SignalWireML()
main_section = response.add_section("main")
main_section.answer()
main_section.record(stereo=True, format_='mp3')
# Add the prompt instruction
prompt_instruction = Prompt(
play="say:Please say an input",
say_language="en-US",
max_digits=1,
speech_hints=["one", "two", "three", "four", "five", "six", "seven", "eight", "nine"],
)
main_section.add_instruction(prompt_instruction)
# Add the switch instruction
switch_instruction = Switch(
variable="prompt_value",
case={
"1": [Transfer(dest="sales")],
"one": [Transfer(dest="sales")]
},
default=[
Play(url="say:That was a bad input, please try again!"),
Transfer(dest="main")
]
)
main_section.add_instruction(switch_instruction)
sales_section = response.add_section('sales')
sales_section.play(url='say:Welcome to Sales')
sales_section.prompt(
play='say:Pick a number between 1 and 3',
say_language="en-US",
max_digits=1,
speech_hints=["one", "two", "three"]
)
sales_case = {
'1': [Play(url="say:Case 1 was chosen"), Hangup()],
'one': [Play(url="say:Case one was chosen"), Hangup()],
'2': [Play(url='say:Case 2 was chosen'), Hangup()],
'two': [Play(url='say:Case two was chosen'), Hangup()],
'3': [Play(url='say:Case 3 was chosen'), Hangup()],
'three': [Play(url='say:Case three was chosen'), Hangup()]
}
sales_section.switch(variable='prompt_value', case=sales_case, default=[Transfer(dest='sales')])
swml = response.generate_swml(data_format='yaml')
print(swml)Which will give the following yaml output:
sections:
main:
- answer
- record:
stereo: true
format: mp3
- prompt:
play: say:Please say an input
say_language: en-US
max_digits: 1
speech_hints:
- one
- two
- three
- four
- five
- six
- seven
- eight
- nine
- switch:
variable: prompt_value
case:
'1':
- transfer:
dest: sales
one:
- transfer:
dest: sales
default:
- play:
url: say:That was a bad input, please try again!
- transfer:
dest: main
sales:
- play:
url: say:Welcome to Sales
- prompt:
play: say:Pick a number between 1 and 3
say_language: en-US
max_digits: 1
speech_hints:
- one
- two
- three
- switch:
variable: prompt_value
case:
'1':
- play:
url: say:Case 1 was chosen
- hangup
one:
- play:
url: say:Case one was chosen
- hangup
'2':
- play:
url: say:Case 2 was chosen
- hangup
two:
- play:
url: say:Case two was chosen
- hangup
'3':
- play:
url: say:Case 3 was chosen
- hangup
three:
- play:
url: say:Case three was chosen
- hangup
default:
- transfer:
dest: sales
