`geonature.utils.config_schema`

Description des options de configuration

Module Contents

Classes

`EmailStrOrListOfEmailStrField`	Basic field from which other fields should extend. It applies no
`CasUserSchemaConf`	Base schema class with which to define custom schemas.
`CasFrontend`	Base schema class with which to define custom schemas.
`CasSchemaConf`	Base schema class with which to define custom schemas.
`MTDSchemaConf`	Base schema class with which to define custom schemas.
`BddConfig`	Base schema class with which to define custom schemas.
`RightsSchemaConf`	Base schema class with which to define custom schemas.
`MailConfig`	Base schema class with which to define custom schemas.
`CeleryConfig`	Base schema class with which to define custom schemas.
`AccountManagement`	Base schema class with which to define custom schemas.
`UsersHubConfig`	Base schema class with which to define custom schemas.
`ServerConfig`	Base schema class with which to define custom schemas.
`MediasConfig`	Base schema class with which to define custom schemas.
`AlembicConfig`	Base schema class with which to define custom schemas.
`AdditionalFields`	Base schema class with which to define custom schemas.
`HomeConfig`	Base schema class with which to define custom schemas.
`MetadataConfig`	Base schema class with which to define custom schemas.
`GnPySchemaConf`	Base schema class with which to define custom schemas.
`GnFrontEndConf`	Base schema class with which to define custom schemas.
`ExportObservationSchema`	Base schema class with which to define custom schemas.
`Synthese`	Base schema class with which to define custom schemas.
`MapConfig`	Base schema class with which to define custom schemas.
`TaxHub`	Base schema class with which to define custom schemas.
`GnGeneralSchemaConf`	Base schema class with which to define custom schemas.

Attributes

BASEMAP

class geonature.utils.config_schema.EmailStrOrListOfEmailStrField(*, load_default: Any = missing_, missing: Any = missing_, dump_default: Any = missing_, default: Any = missing_, data_key: str | None = None, attribute: str | None = None, validate: None | Callable[[Any], Any] | Iterable[Callable[[Any], Any]] = None, required: bool = False, allow_none: bool | None = None, load_only: bool = False, dump_only: bool = False, error_messages: dict[str, str] | None = None, metadata: Mapping[str, Any] | None = None, **additional_metadata)[source]

Bases: marshmallow.fields.Field

Basic field from which other fields should extend. It applies no formatting by default, and should only be used in cases where data does not need to be formatted before being serialized or deserialized. On error, the name of the field will be returned.

Paramètres:

dump_default – If set, this value will be used during serialization if the input value is missing. If not set, the field will be excluded from the serialized output if the input value is missing. May be a value or a callable.
load_default – Default deserialization value for the field if the field is not found in the input data. May be a value or a callable.
data_key – The name of the dict key in the external representation, i.e. the input of load and the output of dump. If None, the key will match the name of the field.
attribute – The name of the key/attribute in the internal representation, i.e. the output of load and the input of dump. If None, the key/attribute will match the name of the field. Note: This should only be used for very specific use cases such as outputting multiple fields for a single attribute, or using keys/attributes that are invalid variable names, unsuitable for field names. In most cases, you should use data_key instead.
validate – Validator or collection of validators that are called during deserialization. Validator takes a field’s input value as its only parameter and returns a boolean. If it returns False, an ValidationError is raised.
required – Raise a ValidationError if the field value is not supplied during deserialization.
allow_none – Set this to True if None should be considered a valid value during validation/deserialization. If load_default=None and allow_none is unset, will default to True. Otherwise, the default is False.
load_only – If True skip this field during serialization, otherwise its value will be present in the serialized data.
dump_only – If True skip this field during deserialization, otherwise its value will be present in the deserialized object. In the context of an HTTP API, this effectively marks the field as « read-only ».
error_messages (dict) – Overrides for Field.default_error_messages.
metadata – Extra information to be stored as field metadata.

Modifié dans la version 2.0.0: Removed error parameter. Use error_messages instead.

Modifié dans la version 2.0.0: Added allow_none parameter, which makes validation/deserialization of None consistent across fields.

Modifié dans la version 2.0.0: Added load_only and dump_only parameters, which allow field skipping during the (de)serialization process.

Modifié dans la version 2.0.0: Added missing parameter, which indicates the value for a field if the field is not found during deserialization.

Modifié dans la version 2.0.0: default value is only used if explicitly set. Otherwise, missing values inputs are excluded from serialized output.

Modifié dans la version 3.0.0b8: Add data_key parameter for the specifying the key in the input and output data. This parameter replaced both load_from and dump_to.

_deserialize(value, attr, data, **kwargs)[source]

Deserialize value. Concrete Field classes should implement this method.

Paramètres:

value – The value to be deserialized.
attr – The attribute/key in data to be deserialized.
data – The raw input data passed to the Schema.load.
kwargs – Field-specific keyword arguments.

Lève:

ValidationError – In case of formatting or validation failure.

Renvoie:

The deserialized value.

Modifié dans la version 2.0.0: Added attr and data parameters.

Modifié dans la version 3.0.0: Added **kwargs to signature.

_check_email(value)[source]

class geonature.utils.config_schema.CasUserSchemaConf(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

URL[source]

BASE_URL[source]

ID[source]

PASSWORD[source]

class geonature.utils.config_schema.CasFrontend(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

CAS_AUTHENTIFICATION[source]

CAS_URL_LOGIN[source]

CAS_URL_LOGOUT[source]

class geonature.utils.config_schema.CasSchemaConf(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

CAS_URL_VALIDATION[source]

CAS_USER_WS[source]

USERS_CAN_SEE_ORGANISM_DATA[source]

class geonature.utils.config_schema.MTDSchemaConf(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

JDD_MODULE_CODE_ASSOCIATION[source]

ID_INSTANCE_FILTER[source]

SYNC_LOG_LEVEL[source]

class geonature.utils.config_schema.BddConfig(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

ID_USER_SOCLE_1[source]

ID_USER_SOCLE_2[source]

class geonature.utils.config_schema.RightsSchemaConf(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

NOTHING[source]

MY_DATA[source]

MY_ORGANISM_DATA[source]

ALL_DATA[source]

class geonature.utils.config_schema.MailConfig(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

MAIL_SERVER[source]

MAIL_PORT[source]

MAIL_USE_TLS[source]

MAIL_USE_SSL[source]

MAIL_USERNAME[source]

MAIL_PASSWORD[source]

MAIL_DEFAULT_SENDER[source]

MAIL_MAX_EMAILS[source]

MAIL_SUPPRESS_SEND[source]

MAIL_ASCII_ATTACHMENTS[source]

ERROR_MAIL_TO[source]

class geonature.utils.config_schema.CeleryConfig(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

broker_url[source]

result_backend[source]

enable_utc[source]

timezone[source]

class geonature.utils.config_schema.AccountManagement(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

ENABLE_SIGN_UP[source]

ENABLE_USER_MANAGEMENT[source]

AUTO_ACCOUNT_CREATION[source]

AUTO_DATASET_CREATION[source]

VALIDATOR_EMAIL[source]

ACCOUNT_FORM[source]

ADDON_USER_EMAIL[source]

DATASET_MODULES_ASSOCIATION[source]

EXTERNAL_LINKS[source]

class geonature.utils.config_schema.UsersHubConfig(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

ADMIN_APPLICATION_LOGIN[source]

ADMIN_APPLICATION_PASSWORD[source]

URL_USERSHUB[source]

class geonature.utils.config_schema.ServerConfig(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

LOG_LEVEL[source]

class geonature.utils.config_schema.MediasConfig(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

MEDIAS_SIZE_MAX[source]

THUMBNAIL_SIZES[source]

class geonature.utils.config_schema.AlembicConfig(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

VERSION_LOCATIONS[source]

class geonature.utils.config_schema.AdditionalFields(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

IMPLEMENTED_MODULES[source]

IMPLEMENTED_OBJECTS[source]

class geonature.utils.config_schema.HomeConfig(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

TITLE[source]

INTRODUCTION[source]

FOOTER[source]

class geonature.utils.config_schema.MetadataConfig(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

NB_AF_DISPLAYED[source]

ENABLE_CLOSE_AF[source]

AF_SHEET_CLOSED_LINK_NAME[source]

CLOSED_AF_TITLE[source]

AF_PDF_TITLE[source]

DS_PDF_TITLE[source]

MAIL_SUBJECT_AF_CLOSED_BASE[source]

MAIL_CONTENT_AF_CLOSED_ADDITION[source]

MAIL_CONTENT_AF_CLOSED_PDF[source]

MAIL_CONTENT_AF_CLOSED_URL[source]

MAIL_CONTENT_AF_CLOSED_GREETINGS[source]

CLOSED_MODAL_LABEL[source]

CLOSED_MODAL_CONTENT[source]

CD_NOMENCLATURE_ROLE_TYPE_DS[source]

CD_NOMENCLATURE_ROLE_TYPE_AF[source]

METADATA_AREA_FILTERS[source]

class geonature.utils.config_schema.GnPySchemaConf(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

SQLALCHEMY_DATABASE_URI[source]

SQLALCHEMY_TRACK_MODIFICATIONS[source]

SESSION_TYPE[source]

SECRET_KEY[source]

COOKIE_EXPIRATION[source]

COOKIE_AUTORENEW[source]

TRAP_ALL_EXCEPTIONS[source]

SENTRY_DSN[source]

ROOT_PATH[source]

STATIC_FOLDER[source]

CUSTOM_STATIC_FOLDER[source]

MEDIA_FOLDER[source]

CAS[source]

MAIL_ON_ERROR[source]

MAIL_CONFIG[source]

CELERY[source]

METADATA[source]

ADMIN_APPLICATION_LOGIN[source]

ACCOUNT_MANAGEMENT[source]

BAD_LOGIN_STATUS_CODE[source]

USERSHUB[source]

SERVER[source]

MEDIAS[source]

ALEMBIC[source]

folders(data, **kwargs)[source]

unwrap_usershub(data, **kwargs)[source]: On met la section [USERSHUB] à la racine de la conf pour compatibilité et simplicité ave le sous-module d’authentif

validate_enable_usershub_and_mail(data, **kwargs)[source]

class geonature.utils.config_schema.GnFrontEndConf(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

PROD_MOD[source]

DISPLAY_FOOTER[source]

DISPLAY_STAT_BLOC[source]

STAT_BLOC_TTL[source]

DISPLAY_MAP_LAST_OBS[source]

MULTILINGUAL[source]

ENABLE_PROFILES[source]

DISPLAY_EMAIL_INFO_OBS[source]

DISPLAY_EMAIL_DISPLAY_INFO[source]

class geonature.utils.config_schema.ExportObservationSchema(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

label[source]

view_name[source]

geojson_4326_field[source]

geojson_local_field[source]

class geonature.utils.config_schema.Synthese(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

AREA_FILTERS[source]

TAXON_RESULT_NUMBER[source]

DISPLAY_TAXON_TREE[source]

SEARCH_OBSERVER_WITH_LIST[source]

ID_SEARCH_OBSERVER_LIST[source]

STATUS_FILTERS[source]

RED_LISTS_FILTERS[source]

DEFAULT_FILTERS[source]

LIST_COLUMNS_FRONTEND[source]

ADDITIONAL_COLUMNS_FRONTEND[source]

EXPORT_COLUMNS[source]

EXPORT_OBSERVATIONS_CUSTOM_VIEWS[source]

EXPORT_ID_SYNTHESE_COL[source]

EXPORT_ID_DATASET_COL[source]

EXPORT_ID_DIGITISER_COL[source]

EXPORT_OBSERVERS_COL[source]

EXPORT_GEOJSON_4326_COL[source]

EXPORT_GEOJSON_LOCAL_COL[source]

EXPORT_METADATA_ID_DATASET_COL[source]

EXPORT_METADATA_ACTOR_COL[source]

EXPORT_FORMAT[source]

NB_MAX_OBS_EXPORT[source]

ID_ATTRIBUT_TAXHUB[source]

DISPLAY_EMAIL[source]

EXCLUDED_COLUMNS[source]

NB_MAX_OBS_MAP[source]

ENABLE_LEAFLET_CLUSTER[source]

NB_LAST_OBS[source]

DISPLAY_EMAIL[source]

DISCUSSION_MAX_LENGTH[source]

DISCUSSION_MODULES[source]

ALERT_MODULES[source]

PIN_MODULES[source]

AREA_AGGREGATION_ENABLED[source]

AREA_AGGREGATION_TYPE[source]

AREA_AGGREGATION_BY_DEFAULT[source]

AREA_AGGREGATION_LEGEND_CLASSES[source]

BLUR_SENSITIVE_OBSERVATIONS[source]

warn_deprecated(data, **kwargs)[source]

geonature.utils.config_schema.BASEMAP[source]

class geonature.utils.config_schema.MapConfig(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

BASEMAP[source]

CENTER[source]

ZOOM_LEVEL[source]

ZOOM_LEVEL_RELEVE[source]

GEOLOCATION[source]

ZOOM_ON_CLICK[source]

OSM_RESTRICT_COUNTRY_CODES[source]

REF_LAYERS[source]

REF_LAYERS_LEGEND[source]

class geonature.utils.config_schema.TaxHub(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.

ID_TYPE_MAIN_PHOTO[source]

class geonature.utils.config_schema.GnGeneralSchemaConf(*, only: marshmallow.types.StrSequenceOrSet | None = None, exclude: marshmallow.types.StrSequenceOrSet = (), many: bool = False, context: dict | None = None, load_only: marshmallow.types.StrSequenceOrSet = (), dump_only: marshmallow.types.StrSequenceOrSet = (), partial: bool | marshmallow.types.StrSequenceOrSet | None = None, unknown: str | None = None)[source]

Bases: marshmallow.Schema

Base schema class with which to define custom schemas.

Example usage:

import datetime as dt
from dataclasses import dataclass

from marshmallow import Schema, fields


@dataclass
class Album:
    title: str
    release_date: dt.date


class AlbumSchema(Schema):
    title = fields.Str()
    release_date = fields.Date()


album = Album("Beggars Banquet", dt.date(1968, 12, 6))
schema = AlbumSchema()
data = schema.dump(album)
data  # {'release_date': '1968-12-06', 'title': 'Beggars Banquet'}

Paramètres:

only – Whitelist of the declared fields to select when instantiating the Schema. If None, all fields are used. Nested fields can be represented with dot delimiters.
exclude – Blacklist of the declared fields to exclude when instantiating the Schema. If a field appears in both only and exclude, it is not used. Nested fields can be represented with dot delimiters.
many – Should be set to True if obj is a collection so that the object will be serialized to a list.
context – Optional context passed to fields.Method and fields.Function fields.
load_only – Fields to skip during serialization (write-only fields)
dump_only – Fields to skip during deserialization (read-only fields)
partial – Whether to ignore missing fields and not require any fields declared. Propagates down to Nested fields as well. If its value is an iterable, only missing fields listed in that iterable will be ignored. Use dot delimiters to specify nested fields.
unknown – Whether to exclude, include, or raise an error for unknown fields in the data. Use EXCLUDE, INCLUDE or RAISE.

Modifié dans la version 3.0.0: prefix parameter removed.

Modifié dans la version 2.0.0: __validators__, __preprocessors__, and __data_handlers__ are removed in favor of marshmallow.decorators.validates_schema, marshmallow.decorators.pre_load and marshmallow.decorators.post_dump. __accessor__ and __error_handler__ are deprecated. Implement the handle_error and get_attribute methods instead.