class ReleveSchema(MA.SQLAlchemyAutoSchema):
class Meta:
model = TRelevesOccurrence
load_instance = True
include_fk = True
exclude = ("geom_local", )
date_min = fields.Date(format="%Y-%m-%d")
date_max = fields.Date(format="%Y-%m-%d")
hour_min = fields.Time(format="%H:%M", allow_none=True)
hour_max = fields.Time(format="%H:%M", allow_none=True)
geom_4326 = GeojsonSerializationField()
id_digitiser = MA.auto_field(dump_only=True)
t_occurrences_occtax = MA.Nested(OccurrenceSchema, many=True)
observers = MA.Nested(
ObserverSchema,
many=True,
allow_none=current_app.config.get("OCCTAX",
{}).get("observers_txt", True),
)
digitiser = MA.Nested(ObserverSchema, dump_only=True)
dataset = MA.Nested(DatasetSchema, dump_only=True)
habitat = MA.Nested(HabrefSchema, dump_only=True)
@pre_load
def make_releve(self, data, **kwargs):
if data.get("observers") is None:
data["observers"] = []
if data.get("id_releve_occtax") is None:
data.pop("id_releve_occtax", None)
return data
class OccurrenceSchema(MA.SQLAlchemyAutoSchema):
class Meta:
model = TOccurrencesOccurrence
load_instance = True
include_fk = True
cor_counting_occtax = MA.Nested(CountingSchema, many=True)
taxref = MA.Nested(TaxrefSchema, dump_only=True)
class OccurrenceSchema(MA.SQLAlchemyAutoSchema):
class Meta:
model = TOccurrencesOccurrence
load_instance = True
include_fk = True
additional_fields = fields.Raw(allow_none=False, required=True)
# additional_fields = fields.Raw(load_only=True)
cor_counting_occtax = MA.Nested(CountingSchema, many=True)
taxref = MA.Nested(TaxrefSchema, dump_only=True)
pre_dump_fn = remove_additional_none_val
class DatasetActorSchema(MA.SQLAlchemyAutoSchema):
class Meta:
model = CorDatasetActor
load_instance = True
include_fk = True
role = MA.Nested(UserSchema, dump_only=True)
nomenclature_actor_role = MA.Nested(NomenclatureSchema, dump_only=True)
organism = MA.Nested(OrganismeSchema, dump_only=True)
@pre_load
def make_dataset_actor(self, data, **kwargs):
if data.get("id_cda") is None:
data.pop("id_cda", None)
return data
class AcquisitionFrameworkActorSchema(MA.SQLAlchemyAutoSchema):
class Meta:
model = CorAcquisitionFrameworkActor
load_instance = True
include_fk = True
role = MA.Nested(UserSchema, dump_only=True)
nomenclature_actor_role = MA.Nested(NomenclatureSchema, dump_only=True)
organism = MA.Nested(OrganismeSchema, dump_only=True)
cor_volets_sinp = MA.Nested(OrganismeSchema, dump_only=True)
@pre_load
def make_af_actor(self, data, **kwargs):
if data.get("id_cafa") is None:
data.pop("id_cafa", None)
return data
class AcquisitionFrameworkSchema(MetadataSchema):
class Meta:
model = TAcquisitionFramework
load_instance = True
include_fk = True
meta_create_date = fields.DateTime(dump_only=True)
meta_update_date = fields.DateTime(dump_only=True)
t_datasets = MA.Nested(
DatasetSchema(
exclude=(
"acquisition_framework",
"modules",
"nomenclature_dataset_objectif",
"nomenclature_collecting_method",
"nomenclature_data_origin",
"nomenclature_source_status",
"nomenclature_resource_type",
),
many=True,
),
many=True
)
bibliographical_references = MA.Nested(
BibliographicReferenceSchema(
exclude=(
"acquisition_framework",
),
many=True,
)
, many=True,
)
cor_af_actor = MA.Nested(
AcquisitionFrameworkActorSchema,
many=True
)
cor_volets_sinp = MA.Nested(
NomenclatureSchema,
many=True,
)
cor_objectifs = MA.Nested(
NomenclatureSchema,
many=True
)
cor_territories = MA.Nested(
NomenclatureSchema,
many=True
)
nomenclature_territorial_level = MA.Nested(NomenclatureSchema, dump_only=True)
nomenclature_financing_type = MA.Nested(NomenclatureSchema, dump_only=True)
creator = MA.Nested(UserSchema, dump_only=True)
class CountingSchema(MA.SQLAlchemyAutoSchema):
class Meta:
model = CorCountingOccurrence
load_instance = True
medias = MA.Nested(MediaSchema, many=True)
@pre_load
def make_counting(self, data, **kwargs):
if data.get("id_counting_occtax") is None:
data.pop("id_counting_occtax", None)
return data
class BibliographicReferenceSchema(MetadataSchema):
class Meta:
model = TBibliographicReference
load_instance = True
include_fk = True
acquisition_framework = MA.Nested("AcquisitionFrameworkSchema", exclude=("bibliographical_references",), dump_only=True)
@pre_load
def make_biblio_ref(self, data, **kwargs):
print(data)
if data.get("id_bibliographic_reference") is None:
data.pop("id_bibliographic_reference", None)
return data
class BibliographicReferenceSchema(CruvedSchemaMixin, SmartRelationshipsMixin,
MA.SQLAlchemyAutoSchema):
class Meta:
model = TBibliographicReference
load_instance = True
include_fk = True
acquisition_framework = MA.Nested("AcquisitionFrameworkSchema",
dump_only=True)
@pre_load
def make_biblio_ref(self, data, **kwargs):
if data.get("id_bibliographic_reference") is None:
data.pop("id_bibliographic_reference", None)
return data
class AcquisitionFrameworkSchema(CruvedSchemaMixin, SmartRelationshipsMixin,
MA.SQLAlchemyAutoSchema):
class Meta:
model = TAcquisitionFramework
load_instance = True
include_fk = True
meta_create_date = fields.DateTime(dump_only=True)
meta_update_date = fields.DateTime(dump_only=True)
t_datasets = MA.Nested(DatasetSchema, many=True)
bibliographical_references = MA.Nested(BibliographicReferenceSchema,
many=True)
cor_af_actor = MA.Nested(AcquisitionFrameworkActorSchema,
many=True,
unknown=EXCLUDE)
cor_volets_sinp = MA.Nested(NomenclatureSchema, many=True, unknown=EXCLUDE)
cor_objectifs = MA.Nested(NomenclatureSchema, many=True, unknown=EXCLUDE)
cor_territories = MA.Nested(NomenclatureSchema, many=True, unknown=EXCLUDE)
nomenclature_territorial_level = MA.Nested(NomenclatureSchema,
dump_only=True)
nomenclature_financing_type = MA.Nested(NomenclatureSchema, dump_only=True)
creator = MA.Nested(UserSchema, dump_only=True)
class Meta:
model = TValidations
load_instance = True
include_fk = True
validation_label = fields.Nested(NomenclatureSchema, dump_only=True)
validator_role = MA.Nested(UserSchema, dump_only=True)
class DatasetSchema(MetadataSchema):
class Meta:
model = TDatasets
load_instance = True
include_fk = True
meta_create_date = fields.DateTime(dump_only=True)
meta_update_date = fields.DateTime(dump_only=True)
cor_dataset_actor = MA.Nested(
DatasetActorSchema,
many=True
)
modules = MA.Nested(
ModuleSchema,
many=True,
exclude=("meta_create_date", "meta_update_date")
)
creator = MA.Nested(UserSchema, dump_only=True)
nomenclature_data_type = MA.Nested(NomenclatureSchema, dump_only=True)
nomenclature_dataset_objectif = MA.Nested(NomenclatureSchema, dump_only=True)
nomenclature_collecting_method = MA.Nested(NomenclatureSchema, dump_only=True)
nomenclature_data_origin = MA.Nested(NomenclatureSchema, dump_only=True)
nomenclature_source_status = MA.Nested(NomenclatureSchema, dump_only=True)
nomenclature_resource_type = MA.Nested(NomenclatureSchema, dump_only=True)
cor_territories = MA.Nested(
NomenclatureSchema,
many=True
)
acquisition_framework = MA.Nested("AcquisitionFrameworkSchema", exclude=("t_datasets",), dump_only=True)
class DatasetSchema(CruvedSchemaMixin, SmartRelationshipsMixin,
MA.SQLAlchemyAutoSchema):
class Meta:
model = TDatasets
load_instance = True
include_fk = True
meta_create_date = fields.DateTime(dump_only=True)
meta_update_date = fields.DateTime(dump_only=True)
cor_dataset_actor = MA.Nested(DatasetActorSchema,
many=True,
unknown=EXCLUDE)
modules = MA.Nested(ModuleSchema,
many=True,
exclude=("meta_create_date", "meta_update_date"),
unknown=EXCLUDE)
creator = MA.Nested(UserSchema, dump_only=True)
nomenclature_data_type = MA.Nested(NomenclatureSchema, dump_only=True)
nomenclature_dataset_objectif = MA.Nested(NomenclatureSchema,
dump_only=True)
nomenclature_collecting_method = MA.Nested(NomenclatureSchema,
dump_only=True)
nomenclature_data_origin = MA.Nested(NomenclatureSchema, dump_only=True)
nomenclature_source_status = MA.Nested(NomenclatureSchema, dump_only=True)
nomenclature_resource_type = MA.Nested(NomenclatureSchema, dump_only=True)
cor_territories = MA.Nested(NomenclatureSchema, many=True, unknown=EXCLUDE)
acquisition_framework = MA.Nested("AcquisitionFrameworkSchema",
dump_only=True)
