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string.templatelib — Support for template string literals — Python 3.15.0a0 documentation

Source code: Lib/string/templatelib.py

Added in version 3.14.

Template strings are a mechanism for custom string processing. They have the full flexibility of Python’s f-strings, but return a Template instance that gives access to the static and interpolated (in curly braces) parts of a string before they are combined.

To write a t-string, use a 't' prefix instead of an 'f', like so:

>>> pi = 3.14
>>> t't-strings are new in Python {pi!s}!'
Template(
   strings=('t-strings are new in Python ', '!'),
   interpolations=(Interpolation(3.14, 'pi', 's', ''),)
)

class string.templatelib.Template¶

The Template class describes the contents of a template string. It is immutable, meaning that attributes of a template cannot be reassigned.

The most common way to create a Template instance is to use the template string literal syntax. This syntax is identical to that of f-strings, except that it uses a t prefix in place of an f:

>>> cheese = 'Red Leicester'
>>> template = t"We're fresh out of {cheese}, sir."
>>> type(template)
<class 'string.templatelib.Template'>

Templates are stored as sequences of literal strings and dynamic interpolations. A values attribute holds the values of the interpolations:

>>> cheese = 'Camembert'
>>> template = t'Ah! We do have {cheese}.'
>>> template.strings
('Ah! We do have ', '.')
>>> template.interpolations
(Interpolation('Camembert', ...),)
>>> template.values
('Camembert',)

The strings tuple has one more element than interpolations and values; the interpolations “belong” between the strings. This may be easier to understand when tuples are aligned

template.strings:  ('Ah! We do have ',              '.')
template.values:   (                   'Camembert',    )

Attributes

strings: tuple[str, ...]¶

A tuple of the static strings in the template.

>>> cheese = 'Camembert'
>>> template = t'Ah! We do have {cheese}.'
>>> template.strings
('Ah! We do have ', '.')

Empty strings are included in the tuple:

>>> response = 'We do have '
>>> cheese = 'Camembert'
>>> template = t'Ah! {response}{cheese}.'
>>> template.strings
('Ah! ', '', '.')

The strings tuple is never empty, and always contains one more string than the interpolations and values tuples:

>>> t''.strings
('',)
>>> t''.values
()
>>> t'{'cheese'}'.strings
('', '')
>>> t'{'cheese'}'.values
('cheese',)

interpolations: tuple[Interpolation, ...]¶

A tuple of the interpolations in the template.

>>> cheese = 'Camembert'
>>> template = t'Ah! We do have {cheese}.'
>>> template.interpolations
(Interpolation('Camembert', 'cheese', None, ''),)

The interpolations tuple may be empty and always contains one fewer values than the strings tuple:

>>> t'Red Leicester'.interpolations
()

values: tuple[object, ...]¶

A tuple of all interpolated values in the template.

>>> cheese = 'Camembert'
>>> template = t'Ah! We do have {cheese}.'
>>> template.values
('Camembert',)

The values tuple always has the same length as the interpolations tuple. It is always equivalent to tuple(i.value for i in template.interpolations).

Methods

__new__(*args: str | Interpolation)¶

While literal syntax is the most common way to create a Template, it is also possible to create them directly using the constructor:

>>> from string.templatelib import Interpolation, Template
>>> cheese = 'Camembert'
>>> template = Template(
...     'Ah! We do have ', Interpolation(cheese, 'cheese'), '.'
... )
>>> list(template)
['Ah! We do have ', Interpolation('Camembert', 'cheese', None, ''), '.']

If multiple strings are passed consecutively, they will be concatenated into a single value in the strings attribute. For example, the following code creates a Template with a single final string:

>>> from string.templatelib import Template
>>> template = Template('Ah! We do have ', 'Camembert', '.')
>>> template.strings
('Ah! We do have Camembert.',)

If multiple interpolations are passed consecutively, they will be treated as separate interpolations and an empty string will be inserted between them. For example, the following code creates a template with empty placeholders in the strings attribute:

>>> from string.templatelib import Interpolation, Template
>>> template = Template(
...     Interpolation('Camembert', 'cheese'),
...     Interpolation('.', 'punctuation'),
... )
>>> template.strings
('', '', '')

iter(template)

Iterate over the template, yielding each non-empty string and Interpolation in the correct order:

>>> cheese = 'Camembert'
>>> list(t'Ah! We do have {cheese}.')
['Ah! We do have ', Interpolation('Camembert', 'cheese', None, ''), '.']

Caution

Empty strings are not included in the iteration:

>>> response = 'We do have '
>>> cheese = 'Camembert'
>>> list(t'Ah! {response}{cheese}.')
['Ah! ',
 Interpolation('We do have ', 'response', None, ''),
 Interpolation('Camembert', 'cheese', None, ''),
 '.']

template + other

template += other

Concatenate this template with another, returning a new Template instance:

>>> cheese = 'Camembert'
>>> list(t'Ah! ' + t'We do have {cheese}.')
['Ah! We do have ', Interpolation('Camembert', 'cheese', None, ''), '.']

Concatenating a Template and a str is not supported. This is because it is unclear whether the string should be treated as a static string or an interpolation. If you want to concatenate a Template with a string, you should either wrap the string directly in a Template (to treat it as a static string) or use an Interpolation (to treat it as dynamic):

>>> from string.templatelib import Interpolation, Template
>>> template = t'Ah! '
>>> # Treat 'We do have ' as a static string
>>> template += Template('We do have ')
>>> # Treat cheese as an interpolation
>>> cheese = 'Camembert'
>>> template += Template(Interpolation(cheese, 'cheese'))
>>> list(template)
['Ah! We do have ', Interpolation('Camembert', 'cheese', None, '')]

class string.templatelib.Interpolation¶

The Interpolation type represents an expression inside a template string. It is immutable, meaning that attributes of an interpolation cannot be reassigned.

Interpolations support pattern matching, allowing you to match against their attributes with the match statement:

>>> from string.templatelib import Interpolation
>>> interpolation = t'{1. + 2.:.2f}'.interpolations[0]
>>> interpolation
Interpolation(3.0, '1. + 2.', None, '.2f')
>>> match interpolation:
...     case Interpolation(value, expression, conversion, format_spec):
...         print(value, expression, conversion, format_spec, sep=' | ')
...
3.0 | 1. + 2. | None | .2f

Attributes

value: object¶

The evaluated value of the interpolation.

>>> t'{1 + 2}'.interpolations[0].value
3

expression: str¶

The text of a valid Python expression, or an empty string.

The expression is the original text of the interpolation’s Python expression, if the interpolation was created from a t-string literal. Developers creating interpolations manually should either set this to an empty string or choose a suitable valid Python expression.

>>> t'{1 + 2}'.interpolations[0].expression
'1 + 2'

conversion: Literal['a', 'r', 's'] | None¶

The conversion to apply to the value, or None.

The conversion is the optional conversion to apply to the value:

>>> t'{1 + 2!a}'.interpolations[0].conversion
'a'

Note

Unlike f-strings, where conversions are applied automatically, the expected behavior with t-strings is that code that processes the Template will decide how to interpret and whether to apply the conversion. For convenience, the convert() function can be used to mimic f-string conversion semantics.

format_spec: str¶

The format specification to apply to the value.

The format_spec is an optional, arbitrary string used as the format specification to present the value:

>>> t'{1 + 2:.2f}'.interpolations[0].format_spec
'.2f'

Note

Unlike f-strings, where format specifications are applied automatically via the format() protocol, the expected behavior with t-strings is that code that processes the interpolation will decide how to interpret and whether to apply the format specification. As a result, format_spec values in interpolations can be arbitrary strings, including those that do not conform to the format() protocol.

Methods

__new__(value: object, expression: str, conversion: Literal['a', 'r', 's'] | None = None, format_spec: str = '')¶

Create a new Interpolation object from component parts.

Parameters:

• value – The evaluated, in-scope result of the interpolation.

• expression – The text of a valid Python expression, or an empty string.

• conversion – The conversion to be used, one of None, 'a', 'r', or 's'.

• format_spec – An optional, arbitrary string used as the format specification to present the value.

string.templatelib.convert(obj, /, conversion)¶

Applies formatted string literal conversion semantics to the given object obj. This is frequently useful for custom template string processing logic.

Three conversion flags are currently supported:

• 's' which calls str() on the value (like !s),

• 'r' which calls repr() (like !r), and

• 'a' which calls ascii() (like !a).

If the conversion flag is None, obj is returned unchanged.

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