Metadata-Version: 2.4
Name: dinterpol
Version: 0.3.5
Summary: data interpolation templating engine
Home-page: https://github.com/Openpipe/dinterpol
Author: João Pinto
Author-email: lamego.pinto@gmail.com
License: Apache-2
Classifier: Development Status :: 1 - Planning
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: System Administrators
Classifier: License :: Freely Distributable
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Software Development :: Testing
Classifier: Topic :: Utilities
Description-Content-Type: text/markdown
Requires-Dist: click
Requires-Dist: enclosed
Dynamic: author
Dynamic: author-email
Dynamic: description
Dynamic: description-content-type
Dynamic: home-page
Dynamic: license
Dynamic: summary

# dinterpol

[![PyPI Version][pypi-v-image]][pypi-v-link]
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg?style=flat-square)](https://github.com/ambv/black)
---

dinterpol is a python library for data interpolation that supports both scalar and structured types generation.


## Motivation
When dealing with structured data types like dictionaries, or data formats like JSON and YAML it can be useful to generate scalar or structured types resulting from the interpolation of multiple input elements. Python3 provides several standard string interpolation mechanisms: [string.Template()], [f-strings] and [str.format()], but because they all return strings, they are not suitable for structured with non string data interpolation.


[string.Template()]: https://docs.python.org/3/library/string.html#string.Template
[f-strings]: https://docs.python.org/3/reference/lexical_analysis.html#f-strings
[str.format()]: https://docs.python.org/3/library/stdtypes.html#str.format

Usage example:

```python
from dinterpol import Template

data = {
    "product": "pie",
    "quantity": 33,
    "price": 14,
    "details": { "size": 10, "flavour": "orange"}
}

# simple key interpolation for string generation
Template("We have {quantity} pie(s)").render(data)
'We have 33 pie(s)'

# python expression for string generation, expression result concatnated with string
Template("Total price is {quantity * price}").render(data)
'Total price is 462'

# python expression for dict generation, type inferred directly from expression's eval()
Template({ "total": "{quantity * price}"}).render(data)
{'total': 426}

# Use attribute style references for key access
Template("{details.size}").render(data)
10

# You can disable the attribute style mapping by passing attribute_convert=False
# to the template constructor.
Template({"today is": "{now.day}"}, False).render({"now": datetime.now()})

```

## Code of Conduct

Everyone interacting in the dinterpol project's codebase, issue trackers, chat
rooms, and mailing lists is expected to follow the [PyPA Code of Conduct].


[appveyor-image]: https://img.shields.io/appveyor/ci/d0ugal/Openpipe/master.svg
[appveyor-link]: https://ci.appveyor.com/project/d0ugal/Openpipe
[codecov-image]: http://codecov.io/github/Openpipe/dinterpol/coverage.svg?branch=master
[codecov-link]: http://codecov.io/github/Openpipe/dinterpol?branch=master
[landscape-image]: https://landscape.io/github/Openpipe/dinterpol/master/landscape.svg?style=flat
[landscape-link]: https://landscape.io/github/Openpipe/dinterpol/master
[pypi-v-image]: https://img.shields.io/pypi/v/dinterpol.svg
[pypi-v-link]: https://pypi.org/project/dinterpol/
[travis-image]: https://img.shields.io/travis/Openpipe/dinterpol/master.svg
[travis-link]: https://travis-ci.org/Openpipe/dinterpol

[dinterpol]: https://dinterpol.Openpipe.org
[PyPA Code of Conduct]: https://www.pypa.io/en/latest/code-of-conduct/
