[ADD] report_carbone, jsonifier, export_json : carbone is an alternative to Py3o
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jsonifier/readme/CONTRIBUTORS.md
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jsonifier/readme/CONTRIBUTORS.md
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- BEAU Sébastien \<<sebastien.beau@akretion.com>\>
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- Raphaël Reverdy \<<raphael.reverdy@akretion.com>\>
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- Laurent Mignon \<<laurent.mignon@acsone.eu>\>
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- Nans Lefebvre \<<nans.lefebvre@acsone.eu>\>
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- Simone Orsi \<<simone.orsi@camptocamp.com>\>
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- Iván Todorovich \<<ivan.todorovich@camptocamp.com>\>
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- Nguyen Minh Chien \<<chien@trobz.com>\>
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- Thien Vo \<<thienvh@trobz.com>\>
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jsonifier/readme/CREDITS.md
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jsonifier/readme/CREDITS.md
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The migration of this module from 17.0 to 18.0 was financially supported by Camptocamp.
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163
jsonifier/readme/DESCRIPTION.md
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jsonifier/readme/DESCRIPTION.md
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This module adds a 'jsonify' method to every model of the ORM. It works
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on the current recordset and requires a single argument 'parser' that
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specify the field to extract.
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Example of a simple parser:
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``` python
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parser = [
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'name',
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'number',
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'create_date',
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('partner_id', ['id', 'display_name', 'ref'])
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('line_id', ['id', ('product_id', ['name']), 'price_unit'])
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]
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```
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In order to be consistent with the Odoo API the jsonify method always
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returns a list of objects even if there is only one element in the
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recordset.
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By default the key into the JSON is the name of the field extracted from
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the model. If you need to specify an alternate name to use as key, you
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can define your mapping as follow into the parser definition:
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``` python
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parser = [
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'field_name:json_key'
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]
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```
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``` python
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parser = [
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'name',
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'number',
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'create_date:creationDate',
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('partner_id:partners', ['id', 'display_name', 'ref'])
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('line_id:lines', ['id', ('product_id', ['name']), 'price_unit'])
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]
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```
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If you need to parse the value of a field in a custom way, you can pass
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a callable or the name of a method on the model:
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``` python
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parser = [
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('name', "jsonify_name") # method name
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('number', lambda rec, field_name: rec[field_name] * 2)) # callable
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]
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```
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Also the module provide a method "get_json_parser" on the ir.exports
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object that generate a parser from an ir.exports configuration.
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Further features are available for advanced uses. It defines a simple
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"resolver" model that has a "python_code" field and a resolve function
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so that arbitrary functions can be configured to transform fields, or
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process the resulting dictionary. It is also to specify a lang to
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extract the translation of any given field.
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To use these features, a full parser follows the following structure:
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``` python
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parser = {
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"resolver": 3,
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"language_agnostic": True,
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"langs": {
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False: [
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{'name': 'description'},
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{'name': 'number', 'resolver': 5},
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({'name': 'partner_id', 'target': 'partner'}, [{'name': 'display_name'}])
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],
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'fr_FR': [
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{'name': 'description', 'target': 'descriptions_fr'},
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({'name': 'partner_id', 'target': 'partner'}, [{'name': 'description', 'target': 'description_fr'}])
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],
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}
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}
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```
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One would get a result having this structure (note that the translated
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fields are merged in the same dictionary):
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``` python
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exported_json == {
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"description": "English description",
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"description_fr": "French description, voilà",
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"number": 42,
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"partner": {
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"display_name": "partner name",
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"description_fr": "French description of that partner",
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},
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}
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```
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Note that a resolver can be passed either as a recordset or as an id, so
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as to be fully serializable. A slightly simpler version in case the
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translation of fields is not needed, but other features like custom
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resolvers are:
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``` python
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parser = {
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"resolver": 3,
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"fields": [
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{'name': 'description'},
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{'name': 'number', 'resolver': 5},
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({'name': 'partner_id', 'target': 'partners'}, [{'name': 'display_name'}]),
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],
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}
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```
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By passing the fields key instead of langs, we have essentially the same
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behaviour as simple parsers, with the added benefit of being able to use
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resolvers.
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Standard use-cases of resolvers are: - give field-specific defaults
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(e.g. "" instead of None) - cast a field type (e.g. int()) - alias a
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particular field for a specific export - ...
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A simple parser is simply translated into a full parser at export.
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If the global resolver is given, then the json_dict goes through:
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``` python
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resolver.resolve(dict, record)
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```
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Which allows to add external data from the context or transform the
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dictionary if necessary. Similarly if given for a field the resolver
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evaluates the result.
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It is possible for a target to have a marshaller by ending the target
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with '=list': in that case the result is put into a list.
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``` python
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parser = {
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fields: [
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{'name': 'name'},
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{'name': 'field_1', 'target': 'customTags=list'},
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{'name': 'field_2', 'target': 'customTags=list'},
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]
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}
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```
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Would result in the following JSON structure:
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``` python
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{
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'name': 'record_name',
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'customTags': ['field_1_value', 'field_2_value'],
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}
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```
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The intended use-case is to be compatible with APIs that require all
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translated parameters to be exported simultaneously, and ask for custom
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properties to be put in a sub-dictionary. Since it is often the case
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that some of these requirements are optional, new requirements could be
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met without needing to add field or change any code.
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Note that the export values with the simple parser depends on the
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record's lang; this is in contrast with full parsers which are designed
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to be language agnostic.
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NOTE: this module was named base_jsonify till version 14.0.1.5.0.
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26
jsonifier/readme/USAGE.md
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jsonifier/readme/USAGE.md
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## with_fieldname parameter
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The with_fieldname option of jsonify() method, when true, will inject on
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the same level of the data "\_fieldname_\$field" keys that will
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contain the field name, in the language of the current user.
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> Examples of with_fieldname usage:
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``` python
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# example 1
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parser = [('name')]
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a.jsonify(parser=parser)
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[{'name': 'SO3996'}]
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>>> a.jsonify(parser=parser, with_fieldname=False)
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[{'name': 'SO3996'}]
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>>> a.jsonify(parser=parser, with_fieldname=True)
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[{'fieldname_name': 'Order Reference', 'name': 'SO3996'}}]
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# example 2 - with a subparser-
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parser=['name', 'create_date', ('order_line', ['id' , 'product_uom', 'is_expense'])]
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>>> a.jsonify(parser=parser, with_fieldname=False)
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[{'name': 'SO3996', 'create_date': '2015-06-02T12:18:26.279909+00:00', 'order_line': [{'id': 16649, 'product_uom': 'stuks', 'is_expense': False}, {'id': 16651, 'product_uom': 'stuks', 'is_expense': False}, {'id': 16650, 'product_uom': 'stuks', 'is_expense': False}]}]
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>>> a.jsonify(parser=parser, with_fieldname=True)
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[{'fieldname_name': 'Order Reference', 'name': 'SO3996', 'fieldname_create_date': 'Creation Date', 'create_date': '2015-06-02T12:18:26.279909+00:00', 'fieldname_order_line': 'Order Lines', 'order_line': [{'fieldname_id': 'ID', 'id': 16649, 'fieldname_product_uom': 'Unit of Measure', 'product_uom': 'stuks', 'fieldname_is_expense': 'Is expense', 'is_expense': False}]}]
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```
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