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formio-data-0.4.9


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توضیحات

formio.js JSON-data API
ویژگی مقدار
سیستم عامل -
نام فایل formio-data-0.4.9
نام formio-data
نسخه کتابخانه 0.4.9
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Bob Leers
ایمیل نویسنده bob@novacode.nl
آدرس صفحه اصلی https://github.com/novacode-nl/python-formio-data
آدرس اینترنتی https://pypi.org/project/formio-data/
مجوز MIT
# formio-data (Python) formio.js (JSON Form Builder) data API for Python. For information about the formio.js project, see https://github.com/formio/formio.js ## Introduction **python-formio-data** is a Python package, which loads and transforms formio.js **Builder JSON** and **Form JSON** into **usable Python objects**. It's main aim is to provide easy access to a Form its components/fields, also captured as **Python objects**, which makes this API very versatile and usable. **Notes about terms:** - **Builder:** The Form Builder which is the design/blueprint of a Form. - **Form:** A filled-in Form, aka Form submission. - **Component:** Input (field) or layout component in the Form Builder and Form. ## Features - Compatible with Python 3.6 and later - Constructor of the **Builder** and **Form** class, only requires the JSON and an optional language code for translations. - Get a Form object its Components as a usable object e.g. datetime, boolean, dict (for select component) etc. - Open source (MIT License) ## Installation The source code is currently hosted on GitHub at: https://github.com/novacode-nl/python-formio-data ### PyPI - Python Package Index Binary installers for the latest released version are available at the [Python Package Index](https://pypi.python.org/pypi/formio-data) ```sh pip(3) install formio-data ``` #### Optional dependencies To support conditional visibility using JSON logic, you can install the `json-logic-qubit` package (the `json-logic` package it is forked off of is currently unmaintained). It's also possible to install it via the pip feature `json_logic` like so: ```sh pip(3) install -U formio-data[json_logic] ``` ### Source Install with Poetry (recommended) Convenient for developers. Also useful for running the (unit)tests. ```sh git clone git@github.com:novacode-nl/python-formio-data.git poetry install ``` #### Optional dependencies When working in the project itself, use ```sh poetry install -E json_logic ``` ### Source Install with pip Optional dependencies need to be installed separately. ```sh pip(3) install -U -e python-formio-data ``` ## Using direnv You can use [nixpkgs](https://nixos.org/) to run a self-contained Python environment without any additional setup. Once you've installed nixpkgs, switch into the directory and type "nix-shell" to get a shell from which the correct Python with packages is available. If you're using [direnv](https://direnv.net/), use `direnv allow` after changing into the project directory and you're good to go. Also consider [nix-direnv](https://github.com/nix-community/nix-direnv) to speed up the experience (it can re-use a cached local installation). ## License [MIT](LICENSE) ## Contributing All contributions, bug reports, bug fixes, documentation improvements, enhancements and ideas are welcome. ## Usage examples For more examples of usage, see the unit-tests. ``` python >> from formiodata import Builder, Form >> # builder_json is a formio.js Builder JSON document (text/string) # form_json is a formio.js Form JSON document (text/string) >> >> builder = Builder(builder_json) >> form = Form(builder, form_json) ################## # input components ################## # textfield label >> print(form.input_components['firstname'].label) 'First Name' # textfield value >> print(form.input_components['firstname'].value) 'Bob' # datetime label >> print(form.input_components['birthday'].label) 'Birthday' # datetime value >> print(form.input_components['birthday'].value) datetime.date(2009 10 16) # datagrid (rows property) >> print(form.input_components['datagridMeasurements'].rows) [ {'measurementDatetime': <datetimeComponent>, 'measurementFahrenheit': <numberComponent>}, {'measurementDatetime': <datetimeComponent>, 'measurementFahrenheit': <numberComponent>} ] >> for row in form.input_components['datagridMeasurements'].rows: >> dtime = row['measurementDatetime'] >> fahrenheit = row['measurementFahrenheit'] >> print(%s: %s, %s: %s' % (dt.label, dt.value, fahrenheit.label, fahrenheit.value)) Datetime: datetime.datetime(2021, 5, 8, 11, 39, 0, 296487), Fahrenheit: 122 Datetime: datetime.datetime(2021, 5, 8, 11, 41, 5, 919943), Fahrenheit: 131 # alternative example, by getattr >> print(form.data.firstname.label) 'First Name' >> print(form.data.firstname.value) 'Bob' ################################# # components (layout, input etc.) ################################# # columns >> print(form.components['addressColumns']) <columnsComponent> >> print(form.components['addressColumns'].rows) [ {'firstName': <textfieldComponent>, 'lastName: <textfieldComponent>}, {'email': <emailComponent>, 'companyName: <textfieldComponent>} ] ``` ## Unit tests **Note:** Internet access is recommended for running the `filecStorageUrlComponentTestCase`, because this also tests the URL Storage (type).\ If no internet access, this test won't fail and a WARNING shall be logged regarding a ConnectionError. ### Run all unittests From toplevel directory: ``` poetry install -E json_logic # if you haven't already poetry run python -m unittest ``` ### Run component unittests All Components, from toplevel directory: ``` poetry run python -m unittest tests/test_component_*.py ``` Nested components (complexity), from toplevel directory: ``` poetry run python -m unittest tests/test_nested_components.py ``` ### Run specific component unittest ``` poetry run python -m unittest tests.test_component_day.dayComponentTestCase.test_get_form_dayMonthYear ```


نیازمندی

مقدار نام
>=2.8.2,<3.0.0) python-dateutil
- requests
>=0.9.1,<0.10.0) json_logic_qubit


زبان مورد نیاز

مقدار نام
>=3.6,<4.0 Python


نحوه نصب


نصب پکیج whl formio-data-0.4.9:

    pip install formio-data-0.4.9.whl


نصب پکیج tar.gz formio-data-0.4.9:

    pip install formio-data-0.4.9.tar.gz