string.templatelib — Support for template string literals — Python 3.14.6 documentation
Description: Source code: Lib/string/templatelib.py Template strings: Template strings are a mechanism for custom string processing. They have the full flexibility of Python’s f-strings, but return a Template i...

# `string.templatelib` — Support for template string literals

Source code: Lib/string/templatelib.py

See also

- Format strings

- Template string literal (t-string) syntax

- PEP 750

## Template strings

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 brackets) 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', ''),)
    )

## Types

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

  Interpolations are generic over the types of their values.

  Attributes

  value: object

    The evaluated value of the interpolation.

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

  expression: str

    For interpolations created by t-string literals, `expression` is the expression text found inside the curly brackets (`{` & `}`), including any whitespace, excluding the curly brackets themselves, and ending before the first `!`, `:`, or `=` if any is present. For manually created interpolations, `expression` is the arbitrary string provided when constructing the interpolation instance.

    We recommend using valid Python expressions or the empty string for the `expression` field of manually created `Interpolation` instances, although this is not enforced at runtime.

        >>> 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.

## Helper functions

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.