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https://github.com/fabiocaccamo/python-benedict
:blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, html, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.
https://github.com/fabiocaccamo/python-benedict
base64 csv decode dict dictionary encode filter flatten json keypath pickle plist python query-string subset toml traverse xls xml yaml
Last synced: 26 days ago
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:blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, html, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.
- Host: GitHub
- URL: https://github.com/fabiocaccamo/python-benedict
- Owner: fabiocaccamo
- License: mit
- Created: 2019-05-17T11:13:40.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2024-05-15T13:27:01.000Z (6 months ago)
- Last Synced: 2024-05-16T02:54:10.045Z (6 months ago)
- Topics: base64, csv, decode, dict, dictionary, encode, filter, flatten, json, keypath, pickle, plist, python, query-string, subset, toml, traverse, xls, xml, yaml
- Language: Python
- Homepage:
- Size: 5.25 MB
- Stars: 1,430
- Watchers: 12
- Forks: 48
- Open Issues: 13
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Funding: .github/FUNDING.yml
- License: LICENSE.txt
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md
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- best-of-python - GitHub - 17% open · ⏱️ 15.05.2024): (Data Structures)
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# python-benedict
python-benedict is a dict subclass with **keylist/keypath/keyattr** support, **I/O** shortcuts (`base64`, `cli`, `csv`, `html`, `ini`, `json`, `pickle`, `plist`, `query-string`, `toml`, `xls`, `xml`, `yaml`) and many **utilities**... for humans, obviously.
## Features
- 100% **backward-compatible**, you can safely wrap existing dictionaries.
- `NEW` **Keyattr** support for get/set items using **keys as attributes**.
- **Keylist** support using **list of keys** as key.
- **Keypath** support using **keypath-separator** *(dot syntax by default)*.
- Keypath **list-index** support *(also negative)* using the standard `[n]` suffix.
- Normalized **I/O operations** with most common formats: `base64`, `cli`, `csv`, `html`, `ini`, `json`, `pickle`, `plist`, `query-string`, `toml`, `xls`, `xml`, `yaml`.
- Multiple **I/O operations** backends: `file-system` *(read/write)*, `url` *(read-only)*, `s3` *(read/write)*.
- Many **utility** and **parse methods** to retrieve data as needed *(check the [API](#api) section)*.
- Well **tested**. ;)
## Index
- [Installation](#installation)
- [Optional Requirements](#optional-requirements)
- [Usage](#usage)
- [Basics](#basics)
- [Keyattr](#keyattr) `my_dict.x.y.z`
- [Keylist](#keylist) `my_dict["x", "y", "z"]`
- [Keypath](#keypath) `my_dict["x.y.z"]`
- [Custom keypath separator](#custom-keypath-separator)
- [Change keypath separator](#change-keypath-separator)
- [Disable keypath functionality](#disable-keypath-functionality)
- [List index support](#list-index-support)
- [I/O](#io)
- [API](#api)
- [Utility methods](#utility-methods)
- [I/O methods](#io-methods)
- [Parse methods](#parse-methods)
- [Testing](#testing)
- [License](#license)
## Installation
If you want to install **everything**:
- Run `pip install "python-benedict[all]"`
alternatively you can install the main package:
- Run `pip install python-benedict`, then install only the [optional requirements](#optional-requirements) you need.
### Optional Requirements
Here the hierarchy of possible installation targets available when running `pip install "python-benedict[...]"` *(each target installs all its sub-targets)*:
- `[all]`
- `[io]`
- `[html]`
- `[toml]`
- `[xls]`
- `[xml]`
- `[yaml]`
- `[parse]`
- `[s3]`
## Usage
### Basics
`benedict` is a `dict` subclass, so it is possible to use it as a normal dictionary *(you can just cast an existing dict)*.
```python
from benedict import benedict
# create a new empty instance
d = benedict()
# or cast an existing dict
d = benedict(existing_dict)
# or create from data source (filepath, url or data-string) in a supported format:
# Base64, CSV, JSON, TOML, XML, YAML, query-string
d = benedict("https://localhost:8000/data.json", format="json")
# or in a Django view
params = benedict(request.GET.items())
page = params.get_int("page", 1)
```
### Keyattr
It is possible to get/set items using **keys as attributes** (dotted notation).
```python
d = benedict(keyattr_dynamic=True) # default False
d.profile.firstname = "Fabio"
d.profile.lastname = "Caccamo"
print(d) # -> { "profile":{ "firstname":"Fabio", "lastname":"Caccamo" } }
```
By default, if the `keyattr_dynamic` is not explicitly set to `True`, this functionality works for get/set only already existing items.
#### Disable keyattr functionality
You can disable the keyattr functionality passing `keyattr_enabled=False` option in the constructor.
```python
d = benedict(existing_dict, keyattr_enabled=False) # default True
```
or using the `getter/setter` property.
```python
d.keyattr_enabled = False
```
#### Dynamic keyattr functionality
You can enable the dynamic attributes access functionality passing `keyattr_dynamic=True` in the constructor.
```python
d = benedict(existing_dict, keyattr_dynamic=True) # default False
```
or using the `getter/setter` property.
```python
d.keyattr_dynamic = True
```
> **Warning** - even if this feature is very useful, it has some obvious limitations: it works only for string keys that are *unprotected* (not starting with an `_`) and that don't clash with the currently supported methods names.
### Keylist
Wherever a **key** is used, it is possible to use also a **list (or a tuple) of keys**.
```python
d = benedict()
# set values by keys list
d["profile", "firstname"] = "Fabio"
d["profile", "lastname"] = "Caccamo"
print(d) # -> { "profile":{ "firstname":"Fabio", "lastname":"Caccamo" } }
print(d["profile"]) # -> { "firstname":"Fabio", "lastname":"Caccamo" }
# check if keypath exists in dict
print(["profile", "lastname"] in d) # -> True
# delete value by keys list
del d["profile", "lastname"]
print(d["profile"]) # -> { "firstname":"Fabio" }
```
### Keypath
`.` is the default keypath separator.
If you cast an existing dict and its keys contain the keypath separator a `ValueError` will be raised.
In this case you should use a [custom keypath separator](#custom-keypath-separator) or [disable keypath functionality](#disable-keypath-functionality).
```python
d = benedict()
# set values by keypath
d["profile.firstname"] = "Fabio"
d["profile.lastname"] = "Caccamo"
print(d) # -> { "profile":{ "firstname":"Fabio", "lastname":"Caccamo" } }
print(d["profile"]) # -> { "firstname":"Fabio", "lastname":"Caccamo" }
# check if keypath exists in dict
print("profile.lastname" in d) # -> True
# delete value by keypath
del d["profile.lastname"]
```
#### Custom keypath separator
You can customize the keypath separator passing the `keypath_separator` argument in the constructor.
If you pass an existing dict to the constructor and its keys contain the keypath separator an `Exception` will be raised.
```python
d = benedict(existing_dict, keypath_separator="/")
```
#### Change keypath separator
You can change the `keypath_separator` at any time using the `getter/setter` property.
If any existing key contains the new `keypath_separator` an `Exception` will be raised.
```python
d.keypath_separator = "/"
```
#### Disable keypath functionality
You can disable the keypath functionality passing `keypath_separator=None` option in the constructor.
```python
d = benedict(existing_dict, keypath_separator=None)
```
or using the `getter/setter` property.
```python
d.keypath_separator = None
```
#### List index support
List index are supported, keypaths can include indexes *(also negative)* using `[n]`, to perform any operation very fast:
```python
# Eg. get last location cordinates of the first result:
loc = d["results[0].locations[-1].coordinates"]
lat = loc.get_decimal("latitude")
lng = loc.get_decimal("longitude")
```
### I/O
For simplifying I/O operations, `benedict` supports a variety of input/output methods with most common formats: `base64`, `cli`, `csv`, `html`, `ini`, `json`, `pickle`, `plist`, `query-string`, `toml`, `xls`, `xml`, `yaml`.
#### Input via constructor
It is possible to create a `benedict` instance directly from data-source (`filepath`, `url`, `s3` or `data` string) by passing the data source and the data format (optional, default "json") in the constructor.
```python
# filepath
d = benedict("/root/data.yml", format="yaml")
# url
d = benedict("https://localhost:8000/data.xml", format="xml")
# s3
d = benedict("s3://my-bucket/data.xml", s3_options={"aws_access_key_id": "...", "aws_secret_access_key": "..."})
# data
d = benedict('{"a": 1, "b": 2, "c": 3, "x": 7, "y": 8, "z": 9}')
```
#### Input methods
- All *input* methods can be accessed as class methods and are prefixed by `from_*` followed by the format name.
- In all *input* methods, the first argument can represent a source: **file** path, **url**, **s3** url, or **data** string.
#### Input sources
All supported sources (**file**, **url**, **s3**, **data**) are allowed by default, but in certains situations when the input data comes from **untrusted sources** it may be useful to restrict the allowed sources using the `sources` argument:
```python
# url
d = benedict("https://localhost:8000/data.json", sources=["url"]) # -> ok
d = benedict.from_json("https://localhost:8000/data.json", sources=["url"]) # -> ok
# s3
d = benedict("s3://my-bucket/data.json", sources=["url"]) # -> raise ValueError
d = benedict.from_json("s3://my-bucket/data.json", sources=["url"]) # -> raise ValueError
```
#### Output methods
- All *output* methods can be accessed as instance methods and are prefixed by `to_*` followed by the format name.
- In all *output* methods, if `filepath="..."` kwarg is specified, the output will be also **saved** at the specified filepath.
#### Supported formats
Here are the details of the supported formats, operations and extra options docs.
| **format** | **input** | **output** | **extra options docs** |
|----------------|--------------------|--------------------|---------------------------------------------------------------------------------------|
| `base64` | :white_check_mark: | :white_check_mark: | - |
| `cli` | :white_check_mark: | :x: | [argparse](https://docs.python.org/3/library/argparse.html#argparse.ArgumentParser) |
| `csv` | :white_check_mark: | :white_check_mark: | [csv](https://docs.python.org/3/library/csv.html) |
| `html` | :white_check_mark: | :x: | [bs4](https://beautiful-soup-4.readthedocs.io) *(Beautiful Soup 4)* |
| `ini` | :white_check_mark: | :white_check_mark: | [configparser](https://docs.python.org/3/library/configparser.html) |
| `json` | :white_check_mark: | :white_check_mark: | [json](https://docs.python.org/3/library/json.html) |
| `pickle` | :white_check_mark: | :white_check_mark: | [pickle](https://docs.python.org/3/library/pickle.html) |
| `plist` | :white_check_mark: | :white_check_mark: | [plistlib](https://docs.python.org/3/library/plistlib.html) |
| `query-string` | :white_check_mark: | :white_check_mark: | - |
| `toml` | :white_check_mark: | :white_check_mark: | [toml](https://pypi.org/project/toml/) |
| `xls` | :white_check_mark: | :x: | [openpyxl](https://openpyxl.readthedocs.io/) - [xlrd](https://pypi.org/project/xlrd/) |
| `xml` | :white_check_mark: | :white_check_mark: | [xmltodict](https://github.com/martinblech/xmltodict) |
| `yaml` | :white_check_mark: | :white_check_mark: | [PyYAML](https://pyyaml.org/wiki/PyYAMLDocumentation) |
### API
- **Utility methods**
- [`clean`](#clean)
- [`clone`](#clone)
- [`dump`](#dump)
- [`filter`](#filter)
- [`find`](#find)
- [`flatten`](#flatten)
- [`groupby`](#groupby)
- [`invert`](#invert)
- [`items_sorted_by_keys`](#items_sorted_by_keys)
- [`items_sorted_by_values`](#items_sorted_by_values)
- [`keypaths`](#keypaths)
- [`match`](#match)
- [`merge`](#merge)
- [`move`](#move)
- [`nest`](#nest)
- [`remove`](#remove)
- [`rename`](#rename)
- [`search`](#search)
- [`standardize`](#standardize)
- [`subset`](#subset)
- [`swap`](#swap)
- [`traverse`](#traverse)
- [`unflatten`](#unflatten)
- [`unique`](#unique)
- **I/O methods**
- [`from_base64`](#from_base64)
- [`from_cli`](#from_cli)
- [`from_csv`](#from_csv)
- [`from_ini`](#from_ini)
- [`from_html`](#from_html)
- [`from_json`](#from_json)
- [`from_pickle`](#from_pickle)
- [`from_plist`](#from_plist)
- [`from_query_string`](#from_query_string)
- [`from_toml`](#from_toml)
- [`from_xls`](#from_xls)
- [`from_xml`](#from_xml)
- [`from_yaml`](#from_yaml)
- [`to_base64`](#to_base64)
- [`to_csv`](#to_csv)
- [`to_ini`](#to_ini)
- [`to_json`](#to_json)
- [`to_pickle`](#to_pickle)
- [`to_plist`](#to_plist)
- [`to_query_string`](#to_query_string)
- [`to_toml`](#to_toml)
- [`to_xml`](#to_xml)
- [`to_yaml`](#to_yaml)
- **Parse methods**
- [`get_bool`](#get_bool)
- [`get_bool_list`](#get_bool_list)
- [`get_date`](#get_date)
- [`get_date_list`](#get_date_list)
- [`get_datetime`](#get_datetime)
- [`get_datetime_list`](#get_datetime_list)
- [`get_decimal`](#get_decimal)
- [`get_decimal_list`](#get_decimal_list)
- [`get_dict`](#get_dict)
- [`get_email`](#get_email)
- [`get_float`](#get_float)
- [`get_float_list`](#get_float_list)
- [`get_int`](#get_int)
- [`get_int_list`](#get_int_list)
- [`get_list`](#get_list)
- [`get_list_item`](#get_list_item)
- [`get_phonenumber`](#get_phonenumber)
- [`get_slug`](#get_slug)
- [`get_slug_list`](#get_slug_list)
- [`get_str`](#get_str)
- [`get_str_list`](#get_str_list)
- [`get_uuid`](#get_uuid)
- [`get_uuid_list`](#get_uuid_list)
### Utility methods
These methods are common utilities that will speed up your everyday work.
Utilities that accept key argument(s) also support keypath(s).
Utilities that return a dictionary always return a new `benedict` instance.
#### `clean`
```python
# Clean the current dict instance removing all empty values: None, "", {}, [], ().
# If strings or collections (dict, list, set, tuple) flags are False,
# related empty values will not be deleted.
d.clean(strings=True, collections=True)
```
#### `clone`
```python
# Return a clone (deepcopy) of the dict.
c = d.clone()
```
#### `dump`
```python
# Return a readable representation of any dict/list.
# This method can be used both as static method or instance method.
s = benedict.dump(d.keypaths())
print(s)
# or
d = benedict()
print(d.dump())
```
#### `filter`
```python
# Return a filtered dict using the given predicate function.
# Predicate function receives key, value arguments and should return a bool value.
predicate = lambda k, v: v is not None
f = d.filter(predicate)
```
#### `find`
```python
# Return the first match searching for the given keys/keypaths.
# If no result found, default value is returned.
keys = ["a.b.c", "m.n.o", "x.y.z"]
f = d.find(keys, default=0)
```
#### `flatten`
```python
# Return a new flattened dict using the given separator to join nested dict keys to flatten keypaths.
f = d.flatten(separator="_")
```
#### `groupby`
```python
# Group a list of dicts at key by the value of the given by_key and return a new dict.
g = d.groupby("cities", by_key="country_code")
```
#### `invert`
```python
# Return an inverted dict where values become keys and keys become values.
# Since multiple keys could have the same value, each value will be a list of keys.
# If flat is True each value will be a single value (use this only if values are unique).
i = d.invert(flat=False)
```
#### `items_sorted_by_keys`
```python
# Return items (key/value list) sorted by keys.
# If reverse is True, the list will be reversed.
items = d.items_sorted_by_keys(reverse=False)
```
#### `items_sorted_by_values`
```python
# Return items (key/value list) sorted by values.
# If reverse is True, the list will be reversed.
items = d.items_sorted_by_values(reverse=False)
```
#### `keypaths`
```python
# Return a list of all keypaths in the dict.
# If indexes is True, the output will include list values indexes.
k = d.keypaths(indexes=False)
```
#### `match`
```python
# Return a list of all values whose keypath matches the given pattern (a regex or string).
# If pattern is string, wildcard can be used (eg. [*] can be used to match all list indexes).
# If indexes is True, the pattern will be matched also against list values.
m = d.match(pattern, indexes=True)
```
#### `merge`
```python
# Merge one or more dictionary objects into current instance (deepupdate).
# Sub-dictionaries keys will be merged together.
# If overwrite is False, existing values will not be overwritten.
# If concat is True, list values will be concatenated together.
d.merge(a, b, c, overwrite=True, concat=False)
```
#### `move`
```python
# Move an item from key_src to key_dst.
# It can be used to rename a key.
# If key_dst exists, its value will be overwritten.
d.move("a", "b", overwrite=True)
```
#### `nest`
```python
# Nest a list of dicts at the given key and return a new nested list
# using the specified keys to establish the correct items hierarchy.
d.nest("values", id_key="id", parent_id_key="parent_id", children_key="children")
```
#### `remove`
```python
# Remove multiple keys from the dict.
# It is possible to pass a single key or more keys (as list or *args).
d.remove(["firstname", "lastname", "email"])
```
#### `rename`
```python
# Rename a dict item key from "key" to "key_new".
# If key_new exists, a KeyError will be raised.
d.rename("first_name", "firstname")
```
#### `search`
```python
# Search and return a list of items (dict, key, value, ) matching the given query.
r = d.search("hello", in_keys=True, in_values=True, exact=False, case_sensitive=False)
```
#### `standardize`
```python
# Standardize all dict keys, e.g. "Location Latitude" -> "location_latitude".
d.standardize()
```
#### `subset`
```python
# Return a dict subset for the given keys.
# It is possible to pass a single key or more keys (as list or *args).
s = d.subset(["firstname", "lastname", "email"])
```
#### `swap`
```python
# Swap items values at the given keys.
d.swap("firstname", "lastname")
```
#### `traverse`
```python
# Traverse a dict passing each item (dict, key, value) to the given callback function.
def f(d, key, value):
print(f"dict: {d} - key: {key} - value: {value}")
d.traverse(f)
```
#### `unflatten`
```python
# Return a new unflattened dict using the given separator to split dict keys to nested keypaths.
u = d.unflatten(separator="_")
```
#### `unique`
```python
# Remove duplicated values from the dict.
d.unique()
```
### I/O methods
These methods are available for input/output operations.
#### `from_base64`
```python
# Try to load/decode a base64 encoded data and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# It's possible to choose the subformat used under the hood:
# ('csv', 'json', 'query-string', 'toml', 'xml', 'yaml'), default: 'json'.
# It's possible to choose the encoding, default 'utf-8'.
# A ValueError is raised in case of failure.
d = benedict.from_base64(s, subformat="json", encoding="utf-8", **kwargs)
```
#### `from_cli`
```python
# Load and decode data from a string of CLI arguments.
# ArgumentParser specific options can be passed using kwargs:
# https://docs.python.org/3/library/argparse.html#argparse.ArgumentParser
# Return a new dict instance. A ValueError is raised in case of failure.
d = benedict.from_cli(s, **kwargs)
```
#### `from_csv`
```python
# Try to load/decode a csv encoded data and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# It's possible to specify the columns list, default: None (in this case the first row values will be used as keys).
# It's possible to pass decoder specific options using kwargs:
# https://docs.python.org/3/library/csv.html
# A ValueError is raised in case of failure.
d = benedict.from_csv(s, columns=None, columns_row=True, **kwargs)
```
#### `from_html`
```python
# Try to load/decode a html data and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# It's possible to pass decoder specific options using kwargs:
# https://beautiful-soup-4.readthedocs.io/
# A ValueError is raised in case of failure.
d = benedict.from_html(s, **kwargs)
```
#### `from_ini`
```python
# Try to load/decode a ini encoded data and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# It's possible to pass decoder specific options using kwargs:
# https://docs.python.org/3/library/configparser.html
# A ValueError is raised in case of failure.
d = benedict.from_ini(s, **kwargs)
```
#### `from_json`
```python
# Try to load/decode a json encoded data and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# It's possible to pass decoder specific options using kwargs:
# https://docs.python.org/3/library/json.html
# A ValueError is raised in case of failure.
d = benedict.from_json(s, **kwargs)
```
#### `from_pickle`
```python
# Try to load/decode a pickle encoded in Base64 format and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# It's possible to pass decoder specific options using kwargs:
# https://docs.python.org/3/library/pickle.html
# A ValueError is raised in case of failure.
d = benedict.from_pickle(s, **kwargs)
```
#### `from_plist`
```python
# Try to load/decode a p-list encoded data and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# It's possible to pass decoder specific options using kwargs:
# https://docs.python.org/3/library/plistlib.html
# A ValueError is raised in case of failure.
d = benedict.from_plist(s, **kwargs)
```
#### `from_query_string`
```python
# Try to load/decode a query-string and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# A ValueError is raised in case of failure.
d = benedict.from_query_string(s, **kwargs)
```
#### `from_toml`
```python
# Try to load/decode a toml encoded data and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# It's possible to pass decoder specific options using kwargs:
# https://pypi.org/project/toml/
# A ValueError is raised in case of failure.
d = benedict.from_toml(s, **kwargs)
```
#### `from_xls`
```python
# Try to load/decode a xls file (".xls", ".xlsx", ".xlsm") from url, filepath or data-string.
# Accept as first argument: url, filepath or data-string.
# It's possible to pass decoder specific options using kwargs:
# - https://openpyxl.readthedocs.io/ (for .xlsx and .xlsm files)
# - https://pypi.org/project/xlrd/ (for .xls files)
# A ValueError is raised in case of failure.
d = benedict.from_xls(s, sheet=0, columns=None, columns_row=True, **kwargs)
```
#### `from_xml`
```python
# Try to load/decode a xml encoded data and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# It's possible to pass decoder specific options using kwargs:
# https://github.com/martinblech/xmltodict
# A ValueError is raised in case of failure.
d = benedict.from_xml(s, **kwargs)
```
#### `from_yaml`
```python
# Try to load/decode a yaml encoded data and return it as benedict instance.
# Accept as first argument: url, filepath or data-string.
# It's possible to pass decoder specific options using kwargs:
# https://pyyaml.org/wiki/PyYAMLDocumentation
# A ValueError is raised in case of failure.
d = benedict.from_yaml(s, **kwargs)
```
#### `to_base64`
```python
# Return the dict instance encoded in base64 format and optionally save it at the specified 'filepath'.
# It's possible to choose the subformat used under the hood:
# ('csv', json', 'query-string', 'toml', 'xml', 'yaml'), default: 'json'.
# It's possible to choose the encoding, default 'utf-8'.
# It's possible to pass decoder specific options using kwargs.
# A ValueError is raised in case of failure.
s = d.to_base64(subformat="json", encoding="utf-8", **kwargs)
```
#### `to_csv`
```python
# Return a list of dicts in the current dict encoded in csv format and optionally save it at the specified filepath.
# It's possible to specify the key of the item (list of dicts) to encode, default: 'values'.
# It's possible to specify the columns list, default: None (in this case the keys of the first item will be used).
# A ValueError is raised in case of failure.
s = d.to_csv(key="values", columns=None, columns_row=True, **kwargs)
```
#### `to_ini`
```python
# Return the dict instance encoded in ini format and optionally save it at the specified filepath.
# It's possible to pass encoder specific options using kwargs:
# https://docs.python.org/3/library/configparser.html
# A ValueError is raised in case of failure.
s = d.to_ini(**kwargs)
```
#### `to_json`
```python
# Return the dict instance encoded in json format and optionally save it at the specified filepath.
# It's possible to pass encoder specific options using kwargs:
# https://docs.python.org/3/library/json.html
# A ValueError is raised in case of failure.
s = d.to_json(**kwargs)
```
#### `to_pickle`
```python
# Return the dict instance as pickle encoded in Base64 format and optionally save it at the specified filepath.
# The pickle protocol used by default is 2.
# It's possible to pass encoder specific options using kwargs:
# https://docs.python.org/3/library/pickle.html
# A ValueError is raised in case of failure.
s = d.to_pickle(**kwargs)
```
#### `to_plist`
```python
# Return the dict instance encoded in p-list format and optionally save it at the specified filepath.
# It's possible to pass encoder specific options using kwargs:
# https://docs.python.org/3/library/plistlib.html
# A ValueError is raised in case of failure.
s = d.to_plist(**kwargs)
```
#### `to_query_string`
```python
# Return the dict instance as query-string and optionally save it at the specified filepath.
# A ValueError is raised in case of failure.
s = d.to_query_string(**kwargs)
```
#### `to_toml`
```python
# Return the dict instance encoded in toml format and optionally save it at the specified filepath.
# It's possible to pass encoder specific options using kwargs:
# https://pypi.org/project/toml/
# A ValueError is raised in case of failure.
s = d.to_toml(**kwargs)
```
#### `to_xml`
```python
# Return the dict instance encoded in xml format and optionally save it at the specified filepath.
# It's possible to pass encoder specific options using kwargs:
# https://github.com/martinblech/xmltodict
# A ValueError is raised in case of failure.
s = d.to_xml(**kwargs)
```
#### `to_yaml`
```python
# Return the dict instance encoded in yaml format.
# If filepath option is passed the output will be saved ath
# It's possible to pass encoder specific options using kwargs:
# https://pyyaml.org/wiki/PyYAMLDocumentation
# A ValueError is raised in case of failure.
s = d.to_yaml(**kwargs)
```
### Parse methods
These methods are wrappers of the `get` method, they parse data trying to return it in the expected type.
#### `get_bool`
```python
# Get value by key or keypath trying to return it as bool.
# Values like `1`, `true`, `yes`, `on`, `ok` will be returned as `True`.
d.get_bool(key, default=False)
```
#### `get_bool_list`
```python
# Get value by key or keypath trying to return it as list of bool values.
# If separator is specified and value is a string it will be splitted.
d.get_bool_list(key, default=[], separator=",")
```
#### `get_date`
```python
# Get value by key or keypath trying to return it as date.
# If format is not specified it will be autodetected.
# If choices and value is in choices return value otherwise default.
d.get_date(key, default=None, format=None, choices=[])
```
#### `get_date_list`
```python
# Get value by key or keypath trying to return it as list of date values.
# If separator is specified and value is a string it will be splitted.
d.get_date_list(key, default=[], format=None, separator=",")
```
#### `get_datetime`
```python
# Get value by key or keypath trying to return it as datetime.
# If format is not specified it will be autodetected.
# If choices and value is in choices return value otherwise default.
d.get_datetime(key, default=None, format=None, choices=[])
```
#### `get_datetime_list`
```python
# Get value by key or keypath trying to return it as list of datetime values.
# If separator is specified and value is a string it will be splitted.
d.get_datetime_list(key, default=[], format=None, separator=",")
```
#### `get_decimal`
```python
# Get value by key or keypath trying to return it as Decimal.
# If choices and value is in choices return value otherwise default.
d.get_decimal(key, default=Decimal("0.0"), choices=[])
```
#### `get_decimal_list`
```python
# Get value by key or keypath trying to return it as list of Decimal values.
# If separator is specified and value is a string it will be splitted.
d.get_decimal_list(key, default=[], separator=",")
```
#### `get_dict`
```python
# Get value by key or keypath trying to return it as dict.
# If value is a json string it will be automatically decoded.
d.get_dict(key, default={})
```
#### `get_email`
```python
# Get email by key or keypath and return it.
# If value is blacklisted it will be automatically ignored.
# If check_blacklist is False, it will be not ignored even if blacklisted.
d.get_email(key, default="", choices=None, check_blacklist=True)
```
#### `get_float`
```python
# Get value by key or keypath trying to return it as float.
# If choices and value is in choices return value otherwise default.
d.get_float(key, default=0.0, choices=[])
```
#### `get_float_list`
```python
# Get value by key or keypath trying to return it as list of float values.
# If separator is specified and value is a string it will be splitted.
d.get_float_list(key, default=[], separator=",")
```
#### `get_int`
```python
# Get value by key or keypath trying to return it as int.
# If choices and value is in choices return value otherwise default.
d.get_int(key, default=0, choices=[])
```
#### `get_int_list`
```python
# Get value by key or keypath trying to return it as list of int values.
# If separator is specified and value is a string it will be splitted.
d.get_int_list(key, default=[], separator=",")
```
#### `get_list`
```python
# Get value by key or keypath trying to return it as list.
# If separator is specified and value is a string it will be splitted.
d.get_list(key, default=[], separator=",")
```
#### `get_list_item`
```python
# Get list by key or keypath and return value at the specified index.
# If separator is specified and list value is a string it will be splitted.
d.get_list_item(key, index=0, default=None, separator=",")
```
#### `get_phonenumber`
```python
# Get phone number by key or keypath and return a dict with different formats (e164, international, national).
# If country code is specified (alpha 2 code), it will be used to parse phone number correctly.
d.get_phonenumber(key, country_code=None, default=None)
```
#### `get_slug`
```python
# Get value by key or keypath trying to return it as slug.
# If choices and value is in choices return value otherwise default.
d.get_slug(key, default="", choices=[])
```
#### `get_slug_list`
```python
# Get value by key or keypath trying to return it as list of slug values.
# If separator is specified and value is a string it will be splitted.
d.get_slug_list(key, default=[], separator=",")
```
#### `get_str`
```python
# Get value by key or keypath trying to return it as string.
# Encoding issues will be automatically fixed.
# If choices and value is in choices return value otherwise default.
d.get_str(key, default="", choices=[])
```
#### `get_str_list`
```python
# Get value by key or keypath trying to return it as list of str values.
# If separator is specified and value is a string it will be splitted.
d.get_str_list(key, default=[], separator=",")
```
#### `get_uuid`
```python
# Get value by key or keypath trying to return it as valid uuid.
# If choices and value is in choices return value otherwise default.
d.get_uuid(key, default="", choices=[])
```
#### `get_uuid_list`
```python
# Get value by key or keypath trying to return it as list of valid uuid values.
# If separator is specified and value is a string it will be splitted.
d.get_uuid_list(key, default=[], separator=",")
```
## Testing
```bash
# clone repository
git clone https://github.com/fabiocaccamo/python-benedict.git && cd python-benedict
# create virtualenv and activate it
python -m venv venv && . venv/bin/activate
# upgrade pip
python -m pip install --upgrade pip
# install requirements
pip install -r requirements.txt -r requirements-test.txt
# install pre-commit to run formatters and linters
pre-commit install --install-hooks
# run tests using tox
tox
# or run tests using unittest
python -m unittest
```
## License
Released under [MIT License](LICENSE.txt).
---
## Supporting
- :star: Star this project on [GitHub](https://github.com/fabiocaccamo/python-benedict)
- :octocat: Follow me on [GitHub](https://github.com/fabiocaccamo)
- :blue_heart: Follow me on [Twitter](https://twitter.com/fabiocaccamo)
- :moneybag: Sponsor me on [Github](https://github.com/sponsors/fabiocaccamo)
## See also
- [`python-fontbro`](https://github.com/fabiocaccamo/python-fontbro) - 🧢 friendly font operations on top of `fontTools`.
- [`python-fsutil`](https://github.com/fabiocaccamo/python-fsutil) - 🧟♂️ high-level file-system operations for lazy devs.