Code source de geonature.core.gn_meta.routes

"""
    Routes for gn_meta 
"""

import datetime as dt
import json
import logging
from lxml import etree as ET

from flask import Blueprint, current_app, request, Response, g, render_template

import click

from flask.json import jsonify
from sqlalchemy import inspect, and_, or_
from sqlalchemy.sql import text, exists, select, update
from sqlalchemy.sql.functions import func
from sqlalchemy.orm import Load, joinedload, raiseload, undefer
from werkzeug.exceptions import Conflict, BadRequest, Forbidden, NotFound
from werkzeug.datastructures import Headers, MultiDict
from werkzeug.utils import secure_filename
from marshmallow import ValidationError, EXCLUDE


from geonature.utils.config import config
from geonature.utils.env import DB, db
from geonature.core.gn_synthese.models import (
    Synthese,
    TSources,
    CorAreaSynthese,
)
from geonature.core.gn_permissions.decorators import login_required

from .mtd import sync_af_and_ds as mtd_sync_af_and_ds, sync_af_and_ds_by_user

from ref_geo.models import LAreas
from pypnnomenclature.models import TNomenclatures
from pypnusershub.db.tools import InsufficientRightsError
from pypnusershub.db.models import User

from geonature.core.gn_meta.models import (
    TDatasets,
    CorDatasetActor,
    TAcquisitionFramework,
    CorAcquisitionFrameworkActor,
)
from geonature.core.gn_meta.repositories import (
    get_metadata_list,
)
from geonature.core.gn_meta.schemas import (
    AcquisitionFrameworkSchema,
    DatasetSchema,
)
from utils_flask_sqla.response import json_resp, to_csv_resp, generate_csv_content
from werkzeug.datastructures import Headers
from geonature.core.gn_permissions import decorators as permissions
from geonature.core.gn_permissions.tools import get_scopes_by_action
from geonature.core.gn_permissions.models import TObjects
from geonature.core.gn_meta.mtd import mtd_utils
import geonature.utils.filemanager as fm
import geonature.utils.utilsmails as mail
from geonature.utils.errors import GeonatureApiError
from .mtd import sync_af_and_ds as mtd_sync_af_and_ds

from ref_geo.models import LAreas

# FIXME: remove any reference to external modules from GeoNature core
if "OCCHAB" in config:
    from gn_module_occhab.models import OccurenceHabitat, Station


[docs] routes = Blueprint("gn_meta", __name__, cli_group="metadata")
# get the root logger
[docs] log = logging.getLogger()
if config["CAS_PUBLIC"]["CAS_AUTHENTIFICATION"]: @routes.before_request
[docs] def synchronize_mtd(): if request.endpoint in ["gn_meta.get_datasets", "gn_meta.get_acquisition_frameworks_list"]: from flask_login import current_user if current_user.is_authenticated: params = request.json if request.is_json else request.args try: list_id_af = params.get("id_acquisition_frameworks", []) for id_af in list_id_af: sync_af_and_ds_by_user(id_role=current_user.id_role, id_af=id_af) except Exception as e: log.exception(f"Error while get JDD via MTD: {e}")
@routes.route("/datasets", methods=["GET", "POST"]) @login_required
[docs] def get_datasets(): """ Get datasets list .. :quickref: Metadata; :query boolean active: filter on active fiel :query string create: filter on C permission for the module_code specified (we can specify the object_code by adding a . between both) :query int id_acquisition_framework: get only dataset of given AF :returns: `list<TDatasets>` """ params = MultiDict(request.args) if request.is_json: params.update(request.json) fields = params.get("fields", type=str, default=[]) if fields: fields = fields.split(",") if "create" in params: create = params.pop("create").split(".") if len(create) > 1: query = TDatasets.filter_by_creatable(module_code=create[0], object_code=create[1]) else: query = TDatasets.filter_by_creatable(module_code=create[0]) else: query = TDatasets.filter_by_readable() if request.is_json: query = TDatasets.filter_by_params(request.json, query=query) if "orderby" in params: table_columns = TDatasets.__table__.columns order_by_column = params.pop("orderby") try: orderCol = getattr(table_columns, order_by_column) query = query.order_by(orderCol) except AttributeError as exc: raise BadRequest("the attribute to order on does not exist") from exc query = query.options( Load(TDatasets).raiseload("*"), joinedload(TDatasets.cor_dataset_actor).options( joinedload(CorDatasetActor.role), joinedload(CorDatasetActor.organism), ), # next relationships are joined for permission checks purpose: joinedload(TDatasets.acquisition_framework).options( joinedload(TAcquisitionFramework.cor_af_actor), ), ) only = [ "+cruved", "cor_dataset_actor", "cor_dataset_actor.nomenclature_actor_role", "cor_dataset_actor.organism", "cor_dataset_actor.role", ] if params.get("synthese_records_count", type=int, default=0): query = query.options(undefer(TDatasets.synthese_records_count)) only.append("+synthese_records_count") if "modules" in fields: query = query.options(joinedload(TDatasets.modules)) only.append("modules") dataset_schema = DatasetSchema(only=only) # detect mobile app to enable retro-compatibility hacks user_agent = request.headers.get("User-Agent") mobile_app = user_agent and user_agent.split("/")[0].lower() == "okhttp" dataset_schema.context["mobile_app"] = mobile_app datasets = db.session.scalars(query).unique().all() return dataset_schema.jsonify(datasets, many=True)
[docs] def get_af_from_id(id_af, af_list): found_af = None for af in af_list: if af["id_acquisition_framework"] == id_af: found_af = af break return found_af
@routes.route("/dataset/<int:id_dataset>", methods=["GET"]) @permissions.check_cruved_scope("R", get_scope=True, module_code="METADATA")
[docs] def get_dataset(scope, id_dataset): """ Get one dataset .. :quickref: Metadata; :param id_dataset: the id_dataset :param type: int :returns: dict<TDataset> """ dataset = db.get_or_404(TDatasets, id_dataset) if not dataset.has_instance_permission(scope=scope): raise Forbidden(f"User {g.current_user} cannot read dataset {dataset.id_dataset}") dataset_schema = DatasetSchema( only=[ "+cruved", "creator", "cor_dataset_actor", "cor_dataset_actor.nomenclature_actor_role", "cor_dataset_actor.organism", "cor_dataset_actor.role", "modules", "nomenclature_data_type", "nomenclature_dataset_objectif", "nomenclature_collecting_method", "nomenclature_data_origin", "nomenclature_source_status", "nomenclature_resource_type", "cor_territories", "acquisition_framework", "acquisition_framework.creator", "acquisition_framework.cor_af_actor", "acquisition_framework.cor_af_actor.nomenclature_actor_role", "acquisition_framework.cor_af_actor.organism", "acquisition_framework.cor_af_actor.role", "sources", ] ) return dataset_schema.jsonify(dataset)
@routes.route("/dataset/<int:ds_id>", methods=["DELETE"]) @permissions.check_cruved_scope("D", get_scope=True, module_code="METADATA")
[docs] def delete_dataset(scope, ds_id): """ Delete a dataset .. :quickref: Metadata; """ dataset = db.get_or_404(TDatasets, ds_id) if not dataset.has_instance_permission(scope=scope): raise Forbidden(f"User {g.current_user} cannot delete dataset {dataset.id_dataset}") if not dataset.is_deletable(): raise Conflict( "La suppression du jeu de données n'est pas possible " "car des données y sont rattachées dans la Synthèse" ) DB.session.delete(dataset) DB.session.commit() return "", 204
@routes.route("/uuid_report", methods=["GET"]) @permissions.check_cruved_scope("R", module_code="METADATA")
[docs] def uuid_report(): """ get the UUID report of a dataset .. :quickref: Metadata; """ params = request.args ds_id = params.get("id_dataset") id_import = params.get("id_import") id_module = params.get("id_module") query = ( select(Synthese) .where(Synthese.id_module == id_module if id_module is not None else True) .where(Synthese.id_dataset == ds_id if ds_id is not None else True) ) # TODO test in module import ? if id_import: query = query.outerjoin(TSources, TSources.id_source == Synthese.id_source).where( TSources.name_source == f"Import(id={id_import})" ) query = query.order_by(Synthese.id_synthese) data = [ { "identifiantOrigine": row.entity_source_pk_value, "identifiant_gn": row.id_synthese, "identifiantPermanent (SINP)": row.unique_id_sinp, "nomcite": row.nom_cite, "jourDateDebut": row.date_min, "jourDatefin": row.date_max, "observateurIdentite": row.observers, } for row in db.session.scalars(query).all() ] return to_csv_resp( filename="filename", data=data, columns=[ "identifiantOrigine", "identifiant_gn", "identifiantPermanent (SINP)", "nomcite", "jourDateDebut", "jourDatefin", "observateurIdentite", ], )
@routes.route("/sensi_report", methods=["GET"]) # TODO remove later @routes.route("/sensi_report/<int:ds_id>", methods=["GET"]) @permissions.check_cruved_scope("R", module_code="METADATA")
[docs] def sensi_report(ds_id=None): """ get the UUID report of a dataset .. :quickref: Metadata; """ # TODO: put ds_id in /sensi_report/<int: ds_id> params = request.args if not ds_id: ds_id = params["id_dataset"] dataset = db.get_or_404(TDatasets, ds_id) id_import = params.get("id_import") id_module = params.get("id_module") query = ( select( Synthese, func.taxonomie.find_cdref(Synthese.cd_nom).label("cd_ref"), func.array_agg(LAreas.area_name).label("codeDepartementCalcule"), func.ref_nomenclatures.get_cd_nomenclature(Synthese.id_nomenclature_sensitivity).label( "cd_sensi" ), func.ref_nomenclatures.get_nomenclature_label( Synthese.id_nomenclature_bio_status, "fr" ).label("occStatutBiologique"), TNomenclatures.cd_nomenclature, TNomenclatures.label_fr, ) .select_from(Synthese) .outerjoin(CorAreaSynthese, CorAreaSynthese.id_synthese == Synthese.id_synthese) .outerjoin(LAreas, LAreas.id_area == CorAreaSynthese.id_area) .outerjoin( TNomenclatures, TNomenclatures.id_nomenclature == Synthese.id_nomenclature_sensitivity ) .where(LAreas.id_type == func.ref_geo.get_id_area_type("DEP")) .where(Synthese.id_module == id_module if id_module else True) .where(Synthese.id_dataset == ds_id) ) if id_import: query = query.outerjoin(TSources, TSources.id_source == Synthese.id_source).where( TSources.name_source == "Import(id={})".format(id_import) ) query = query.group_by( Synthese.id_synthese, TNomenclatures.cd_nomenclature, TNomenclatures.label_fr ) data = db.session.execute(query).all() str_productor = "" header = "" if len(data) > 0: index_productor = -1 if dataset.cor_dataset_actor: for index, actor in enumerate(dataset.cor_dataset_actor): # cd_nomenclature producteur = 6 if actor.nomenclature_actor_role.cd_nomenclature == "6": index_productor = index productor = ( dataset.cor_dataset_actor[index_productor] if index_productor != -1 else None ) if productor: if not productor.organism: str_productor = productor.role.nom_complet else: str_productor = productor.organism.nom_organisme data = [ { "cdNom": row.Synthese.cd_nom, "cdRef": row.cd_ref, "codeDepartementCalcule": ", ".join(row.codeDepartementCalcule), "identifiantOrigine": row.Synthese.entity_source_pk_value, "occStatutBiologique": row.occStatutBiologique, "identifiantPermanent": row.Synthese.unique_id_sinp, "sensible": "Oui" if row.cd_sensi != "0" else "Non", "sensiNiveau": f"{row.cd_nomenclature} = {row.label_fr}", } for row in data ] sensi_version = DB.session.scalars( select(func.gn_commons.get_default_parameter("ref_sensi_version")) ).one_or_none() if sensi_version: sensi_version = sensi_version[0] # set an header only if the rapport is on a dataset header = f""""Rapport de sensibilité" "Jeu de données";"{dataset.dataset_name}" "Identifiant interne";"{dataset.id_dataset}" "Identifiant SINP";"{dataset.unique_dataset_id}" "Organisme/personne fournisseur";"{str_productor}" "Date de création du rapport";"{dt.datetime.now().strftime("%d/%m/%Y %Hh%M")}" "Nombre de données sensibles";"{len(list(filter(lambda row: row["sensible"] == "Oui", data)))}" "Nombre de données total dans le fichier";"{len(data)}" "sensiVersionReferentiel";"{sensi_version}" """ return my_csv_resp( filename="filename", data=data, columns=[ "cdNom", "cdRef", "codeDepartementCalcule", "identifiantOrigine", "occStatutBiologique", "identifiantPermanent", "sensible", "sensiNiveau", ], _header=header, )
[docs] def my_csv_resp(filename, data, columns, _header, separator=";"): headers = Headers() headers.add("Content-Type", "text/plain") headers.add("Content-Disposition", "attachment", filename="export_%s.csv" % filename) out = _header + generate_csv_content(columns, data, separator) return Response(out, headers=headers)
[docs] def datasetHandler(dataset, data): datasetSchema = DatasetSchema( only=["cor_dataset_actor", "modules", "cor_territories"], unknown=EXCLUDE ) try: dataset = datasetSchema.load(data, instance=dataset) except ValidationError as error: raise BadRequest(error.messages) DB.session.add(dataset) DB.session.commit() return dataset
@routes.route("/dataset", methods=["POST"]) @permissions.check_cruved_scope("C", module_code="METADATA")
[docs] def create_dataset(): """ Post one Dataset data .. :quickref: Metadata; """ return DatasetSchema().jsonify( datasetHandler( dataset=TDatasets(id_digitizer=g.current_user.id_role), data=request.get_json() ) )
@routes.route("/dataset/<int:id_dataset>", methods=["POST", "PATCH"]) @permissions.check_cruved_scope("U", get_scope=True, module_code="METADATA")
[docs] def update_dataset(id_dataset, scope): """ Post one Dataset data for update dataset .. :quickref: Metadata; """ dataset = db.get_or_404(TDatasets, id_dataset) if not dataset.has_instance_permission(scope): raise Forbidden(f"User {g.current_user} cannot update dataset {dataset.id_dataset}") # TODO: specify which fields may be updated return DatasetSchema().jsonify(datasetHandler(dataset=dataset, data=request.get_json()))
@routes.route("/dataset/export_pdf/<id_dataset>", methods=["GET", "POST"]) @permissions.check_cruved_scope("E", get_scope=True, module_code="METADATA")
[docs] def get_export_pdf_dataset(id_dataset, scope): """ Get a PDF export of one dataset """ dataset = db.get_or_404(TDatasets, id_dataset) if not dataset.has_instance_permission(scope=scope): raise Forbidden("Vous n'avez pas les droits d'exporter ces informations") dataset_schema = DatasetSchema( only=[ "nomenclature_data_type", "nomenclature_dataset_objectif", "nomenclature_collecting_method", "acquisition_framework", "cor_dataset_actor.nomenclature_actor_role", "cor_dataset_actor.organism", "cor_dataset_actor.role", ] ) dataset = dataset_schema.dump(dataset) if len(dataset.get("dataset_desc")) > 240: dataset["dataset_desc"] = dataset.get("dataset_desc")[:240] + "..." dataset["css"] = { "logo": "Logo_pdf.png", "bandeau": "Bandeau_pdf.png", "entite": "sinp", } dataset["title"] = current_app.config["METADATA"]["DS_PDF_TITLE"] date = dt.datetime.now().strftime("%d/%m/%Y") dataset["footer"] = { "url": current_app.config["URL_APPLICATION"] + "/#/metadata/dataset_detail/" + id_dataset, "date": date, } # chart if request.is_json and request.json is not None: dataset["chart"] = request.json["chart"] # create PDF file pdf_file = fm.generate_pdf("dataset_template_pdf.html", dataset) return current_app.response_class(pdf_file, content_type="application/pdf")
@routes.route("/acquisition_frameworks", methods=["GET", "POST"]) @login_required
[docs] def get_acquisition_frameworks(): """ Get a simple list of AF without any nested relationships Use for AF select in form Get the GeoNature CRUVED """ only = ["+cruved"] # QUERY af_list = TAcquisitionFramework.filter_by_readable() if request.is_json: af_list = TAcquisitionFramework.filter_by_params(request.json, query=af_list) af_list = af_list.order_by(TAcquisitionFramework.acquisition_framework_name).options( Load(TAcquisitionFramework).raiseload("*"), # for permission checks: joinedload(TAcquisitionFramework.creator), joinedload(TAcquisitionFramework.cor_af_actor).options( joinedload(CorAcquisitionFrameworkActor.role), joinedload(CorAcquisitionFrameworkActor.organism), ), joinedload(TAcquisitionFramework.datasets).options( joinedload(TDatasets.digitizer), joinedload(TDatasets.cor_dataset_actor).options( joinedload(CorDatasetActor.role), joinedload(CorDatasetActor.organism), ), ), ) if request.args.get("datasets", default=False, type=int): only.extend( [ "datasets.+cruved", ] ) if request.args.get("creator", default=False, type=int): only.append("creator") af_list = af_list.options(joinedload(TAcquisitionFramework.creator)) if request.args.get("actors", default=False, type=int): only.extend( [ "cor_af_actor", "cor_af_actor.nomenclature_actor_role", "cor_af_actor.organism", "cor_af_actor.role", ] ) af_list = af_list.options( joinedload(TAcquisitionFramework.cor_af_actor).options( joinedload(CorAcquisitionFrameworkActor.nomenclature_actor_role), ), ) if request.args.get("datasets", default=False, type=int): only.extend( [ "datasets.cor_dataset_actor", "datasets.cor_dataset_actor.nomenclature_actor_role", "datasets.cor_dataset_actor.organism", "datasets.cor_dataset_actor.role", ] ) af_list = af_list.options( joinedload(TAcquisitionFramework.datasets).options( joinedload(TDatasets.cor_dataset_actor).options( joinedload(CorDatasetActor.nomenclature_actor_role), ), ), ) af_schema = AcquisitionFrameworkSchema(only=only) return af_schema.jsonify(db.session.scalars(af_list).unique().all(), many=True)
@routes.route("/list/acquisition_frameworks", methods=["GET"]) @permissions.check_cruved_scope("R", get_scope=True, module_code="METADATA")
[docs] def get_acquisition_frameworks_list(scope): """ Get all AF with their datasets Use in metadata module for list of AF and DS Add the CRUVED permission for each row (Dataset and AD) DEPRECATED use get_acquisition_frameworks instead .. :quickref: Metadata; :qparam list excluded_fields: fields excluded from serialization :qparam boolean nested: Default False - serialized relationships. If false: remove add all relationships in excluded_fields """ params = request.args.to_dict() params["orderby"] = "acquisition_framework_name" if "selector" not in params: params["selector"] = None nested_serialization = params.get("nested", False) nested_serialization = True if nested_serialization == "true" else False exclude_fields = [] if "excluded_fields" in params: exclude_fields = params.get("excluded_fields").split(",") if not nested_serialization: # exclude all relationships from serialization if nested = false exclude_fields = [db_rel.key for db_rel in inspect(TAcquisitionFramework).relationships] acquisitionFrameworkSchema = AcquisitionFrameworkSchema( only=["+cruved"], exclude=exclude_fields ) return acquisitionFrameworkSchema.jsonify( db.session.scalars(get_metadata_list(g.current_user, scope, params, exclude_fields)) .unique() .all(), many=True, )
@routes.route( "/acquisition_frameworks/export_pdf/<id_acquisition_framework>", methods=["POST", "GET"] ) @permissions.check_cruved_scope("E", module_code="METADATA")
[docs] def get_export_pdf_acquisition_frameworks(id_acquisition_framework): """ Get a PDF export of one acquisition """ # Recuperation des données af = DB.session.get(TAcquisitionFramework, id_acquisition_framework) acquisition_framework = af.as_dict(True, depth=2) dataset_ids = [d.id_dataset for d in af.datasets] nb_data = len(dataset_ids) query = ( select(func.count(Synthese.cd_nom)) .select_from(Synthese) .where(Synthese.id_dataset.in_(dataset_ids)) ) nb_taxons = db.session.scalar(query.distinct()) nb_observations = db.session.scalar(query) nb_habitat = 0 # Check if pr_occhab exist check_schema_query = ( select(func.count(text("schema_name"))) .select_from(text("information_schema.schemata")) .where(text("schema_name = 'pr_occhab'")) ) if DB.session.execute(check_schema_query).scalar_one() > 0 and nb_data > 0: query = ( "SELECT count(*) FROM pr_occhab.t_stations s, pr_occhab.t_habitats h WHERE s.id_station = h.id_station AND s.id_dataset in \ (" + str(dataset_ids).strip("[]") + ")" ) nb_habitat = DB.engine.execute(text(query)).first()[0] acquisition_framework["stats"] = { "nb_data": nb_data, "nb_taxons": nb_taxons, "nb_observations": nb_observations, "nb_habitats": nb_habitat, } if request.is_json and request.json is not None: acquisition_framework["chart"] = request.json["chart"] if acquisition_framework: acquisition_framework["nomenclature_territorial_level"] = ( af.nomenclature_territorial_level.as_dict() ) acquisition_framework["nomenclature_financing_type"] = ( af.nomenclature_financing_type.as_dict() ) if acquisition_framework["acquisition_framework_start_date"]: acquisition_framework["acquisition_framework_start_date"] = ( af.acquisition_framework_start_date.strftime("%d/%m/%Y") ) if acquisition_framework["acquisition_framework_end_date"]: acquisition_framework["acquisition_framework_end_date"] = ( af.acquisition_framework_end_date.strftime("%d/%m/%Y") ) acquisition_framework["css"] = { "logo": "Logo_pdf.png", "bandeau": "Bandeau_pdf.png", "entite": "sinp", } acquisition_framework["pdf_title"] = current_app.config["METADATA"]["AF_PDF_TITLE"] date = dt.datetime.now().strftime("%d/%m/%Y") acquisition_framework["footer"] = { "url": current_app.config["URL_APPLICATION"] + "/#/metadata/af-card/" + id_acquisition_framework, "date": date, } else: return ( render_template( "error.html", error="Le dataset presente des erreurs", redirect=current_app.config["URL_APPLICATION"] + "/#/metadata", ), 404, ) if af.initial_closing_date: acquisition_framework["initial_closing_date"] = af.initial_closing_date.strftime( "%d-%m-%Y %H:%M" ) acquisition_framework["closed_title"] = current_app.config["METADATA"]["CLOSED_AF_TITLE"] # Appel de la methode pour generer un pdf pdf_file = fm.generate_pdf("acquisition_framework_template_pdf.html", acquisition_framework) return current_app.response_class(pdf_file, content_type="application/pdf")
@routes.route("/acquisition_framework/<id_acquisition_framework>", methods=["GET"]) @permissions.check_cruved_scope("R", get_scope=True, module_code="METADATA")
[docs] def get_acquisition_framework(scope, id_acquisition_framework): """ Get one AF with nomenclatures .. :quickref: Metadata; :param id_acquisition_framework: the id_acquisition_framework :param type: int :returns: dict<TAcquisitionFramework> """ af = db.get_or_404(TAcquisitionFramework, id_acquisition_framework) if not af.has_instance_permission(scope=scope): raise Forbidden( f"User {g.current_user} cannot read acquisition " "framework {af.id_acquisition_framework}" ) exclude = request.args.getlist("exclude") try: af_schema = AcquisitionFrameworkSchema( only=[ "+cruved", "creator", "nomenclature_territorial_level", "nomenclature_financing_type", "cor_af_actor", "cor_af_actor.nomenclature_actor_role", "cor_af_actor.organism", "cor_af_actor.role", "cor_volets_sinp", "cor_objectifs", "cor_territories", "datasets", "datasets.creator", "datasets.nomenclature_data_type", "datasets.cor_dataset_actor", "datasets.cor_dataset_actor.nomenclature_actor_role", "datasets.cor_dataset_actor.organism", "datasets.cor_dataset_actor.role", ], exclude=exclude, ) except ValueError as e: raise BadRequest(str(e)) return af_schema.jsonify(af)
@routes.route("/acquisition_framework/<int:af_id>", methods=["DELETE"]) @permissions.check_cruved_scope("D", get_scope=True, module_code="METADATA")
[docs] def delete_acquisition_framework(scope, af_id): """ Delete an acquisition framework .. :quickref: Metadata; """ af = db.get_or_404(TAcquisitionFramework, af_id) if not af.has_instance_permission(scope): raise Forbidden( f"User {g.current_user} cannot delete acquisition framework {af.id_acquisition_framework}" ) if not af.is_deletable(): raise Conflict( "La suppression du cadre d’acquisition n'est pas possible " "car celui-ci contient des jeux de données." ) db.session.delete(af) db.session.commit() return "", 204
[docs] def acquisitionFrameworkHandler(request, *, acquisition_framework): # Test des droits d'édition du acquisition framework si modification if acquisition_framework.id_acquisition_framework is not None: user_cruved = get_scopes_by_action(module_code="METADATA") # verification des droits d'édition pour le acquisition framework if not acquisition_framework.has_instance_permission(user_cruved["U"]): raise Forbidden( "User {} has no right in acquisition_framework {}".format( g.current_user, acquisition_framework.id_acquisition_framework ) ) else: acquisition_framework.id_digitizer = g.current_user.id_role acquisitionFrameworkSchema = AcquisitionFrameworkSchema( only=["cor_af_actor", "cor_volets_sinp", "cor_objectifs", "cor_territories"], unknown=EXCLUDE, ) try: acquisition_framework = acquisitionFrameworkSchema.load( request.get_json(), instance=acquisition_framework ) except ValidationError as error: log.exception(error) raise BadRequest(error.messages) DB.session.add(acquisition_framework) DB.session.commit() return acquisition_framework
@routes.route("/acquisition_framework", methods=["POST"]) @permissions.check_cruved_scope("C", module_code="METADATA")
[docs] def create_acquisition_framework(): """ Post one AcquisitionFramework data .. :quickref: Metadata; """ # TODO: spécifier only # create new acquisition_framework return AcquisitionFrameworkSchema(only=[]).dump( acquisitionFrameworkHandler(request=request, acquisition_framework=TAcquisitionFramework()) )
@routes.route("/acquisition_framework/<int:id_acquisition_framework>", methods=["POST"]) @permissions.check_cruved_scope("U", get_scope=True, module_code="METADATA")
[docs] def updateAcquisitionFramework(id_acquisition_framework, scope): """ Post one AcquisitionFramework data for update acquisition_framework .. :quickref: Metadata; """ af = db.get_or_404(TAcquisitionFramework, id_acquisition_framework) if not af.has_instance_permission(scope=scope): raise Forbidden( f"User {g.current_user} cannot update " f"acquisition framework {af.id_acquisition_framework}" ) return AcquisitionFrameworkSchema().dump( acquisitionFrameworkHandler(request=request, acquisition_framework=af) )
@routes.route("/acquisition_framework/<id_acquisition_framework>/stats", methods=["GET"]) @permissions.check_cruved_scope("R", module_code="METADATA") @json_resp
[docs] def get_acquisition_framework_stats(id_acquisition_framework): """ Get stats from one AF .. :quickref: Metadata; :param id_acquisition_framework: the id_acquisition_framework :param type: int """ dataset_ids = db.session.scalars( select(TDatasets.id_dataset).where( TDatasets.id_acquisition_framework == id_acquisition_framework ) ).all() nb_datasets = len(dataset_ids) nb_taxons = db.session.execute( select(func.count(Synthese.cd_nom)).where(Synthese.id_dataset.in_(dataset_ids)).distinct() ).scalar_one() nb_observations = db.session.execute( select(func.count("*")) .select_from(Synthese) .where(Synthese.dataset.has(TDatasets.id_acquisition_framework == id_acquisition_framework)) ).scalar_one() nb_habitats = 0 if "OCCHAB" in config and nb_datasets > 0: nb_habitats = db.session.execute( select(func.count("*")) .select_from(OccurenceHabitat) .join(Station) .where(Station.id_dataset.in_(dataset_ids)) ).scalar_one() return dict( nb_dataset=nb_datasets, nb_taxons=nb_taxons, nb_observations=nb_observations, nb_habitats=nb_habitats, )
@routes.route("/acquisition_framework/<id_acquisition_framework>/bbox", methods=["GET"]) @permissions.check_cruved_scope("R", module_code="METADATA") @json_resp
[docs] def get_acquisition_framework_bbox(id_acquisition_framework): """ Get BBOX from one AF .. :quickref: Metadata; :param id_acquisition_framework: the id_acquisition_framework :param type: int """ dataset_ids = db.session.scalars( select(TDatasets.id_dataset).where( TDatasets.id_acquisition_framework == id_acquisition_framework ) ).all() geojsonData = DB.session.scalars( select(func.ST_AsGeoJSON(func.ST_Extent(Synthese.the_geom_4326))) .where(Synthese.id_dataset.in_(dataset_ids)) .limit(1) ).first() # geojsonData will never be empty, if no entries matching the query condition(s), it will contains [(None,)] geojsonData = db.session.execute( select(func.ST_AsGeoJSON(func.ST_Extent(Synthese.the_geom_4326))) .where(Synthese.id_dataset.in_(dataset_ids)) .limit(1) ).first()[0] return json.loads(geojsonData) if geojsonData else None
[docs] def publish_acquisition_framework_mail(af): """ Method for sending a mail during the publication process """ # Parsing the AF XML from MTD to get the idTPS parameter af_xml = mtd_utils.get_acquisition_framework(str(af.unique_acquisition_framework_id).upper()) xml_parser = ET.XMLParser(ns_clean=True, recover=True, encoding="utf-8") namespace = current_app.config["XML_NAMESPACE"] root = ET.fromstring(af_xml, parser=xml_parser) try: ca = root.find(".//" + namespace + "CadreAcquisition") ca_idtps = mtd_utils.get_tag_content(ca, "idTPS") except AttributeError: ca_idtps = "" # Generate the links for the AF's deposite certificate and framework download pdf_url = ( current_app.config["API_ENDPOINT"] + "/meta/acquisition_frameworks/export_pdf/" + str(af.id_acquisition_framework) ) # Mail subject mail_subject = "Dépôt du cadre d'acquisition " + str(af.unique_acquisition_framework_id).upper() mail_subject_base = current_app.config["METADATA"]["MAIL_SUBJECT_AF_CLOSED_BASE"] if mail_subject_base: mail_subject = mail_subject_base + " " + mail_subject if ca_idtps: mail_subject = mail_subject + " pour le dossier {}".format(ca_idtps) # Mail content mail_content = f"""Bonjour,<br> <br> Le cadre d'acquisition <i> "{af.acquisition_framework_name}" </i> dont l’identifiant est "{str(af.unique_acquisition_framework_id).upper()}" que vous nous avez transmis a été déposé""" mail_content_additions = current_app.config["METADATA"]["MAIL_CONTENT_AF_CLOSED_ADDITION"] mail_content_pdf = current_app.config["METADATA"]["MAIL_CONTENT_AF_CLOSED_PDF"] mail_content_greetings = current_app.config["METADATA"]["MAIL_CONTENT_AF_CLOSED_GREETINGS"] if ca_idtps: mail_content = mail_content + f"dans le cadre du dossier {ca_idtps}" if mail_content_additions: mail_content = mail_content + mail_content_additions else: mail_content = mail_content + ".<br>" if mail_content_pdf: mail_content = mail_content + mail_content_pdf.format(pdf_url) + pdf_url + "<br>" if mail_content_greetings: mail_content = mail_content + mail_content_greetings # Mail recipients : if the publisher is the the AF digitizer, we send a mail to both of them mail_recipients = set() cur_user = g.current_user if cur_user and cur_user.email: mail_recipients.add(cur_user.email) if af.id_digitizer: digitizer = DB.session.get(User, af.id_digitizer) if digitizer and digitizer.email: mail_recipients.add(digitizer.email) # Mail sent if mail_subject and mail_content and len(mail_recipients) > 0: mail.send_mail(list(mail_recipients), mail_subject, mail_content)
@routes.route("/acquisition_framework/publish/<int:af_id>", methods=["GET"]) @permissions.check_cruved_scope("E", module_code="METADATA") @json_resp
[docs] def publish_acquisition_framework(af_id): """ Publish an acquisition framework .. :quickref: Metadata; """ # The AF must contain DS to be published datasets = ( db.session.scalars(select(TDatasets).filter_by(id_acquisition_framework=af_id)) .unique() .all() ) if not datasets: raise Conflict("Le cadre doit contenir des jeux de données") af_count = db.session.execute( select(func.count("*")) .select_from(TAcquisitionFramework) .where( TAcquisitionFramework.id_acquisition_framework == af_id, TAcquisitionFramework.datasets.any(TDatasets.synthese_records.any()), ) ).scalar_one() if af_count < 1: raise Conflict("Tous les jeux de données du cadre d’acquisition sont vides") # After publishing an AF, we set it as closed and all its DS as inactive for dataset in datasets: dataset.active = False # If the AF if closed for the first time, we set it an initial_closing_date as the actual time af = DB.session.get(TAcquisitionFramework, af_id) af.opened = False if af.initial_closing_date is None: af.initial_closing_date = dt.datetime.now() # first commit before sending mail DB.session.commit() # We send a mail to notify the AF publication publish_acquisition_framework_mail(af) return af.as_dict()
@routes.cli.command() @click.option("--id-role", nargs=1, required=False, default=None, help="ID of an user") @click.option( "--id-af", nargs=1, required=False, default=None, help="ID of an acquisition framework" )
[docs] def mtd_sync(id_role, id_af): """ \b Triggers : - global sync for instance - a sync for a given user only (if id_role is provided) - a sync for a given AF (Acquisition Framework) only (if id_af is provided). NOTE: the AF should in this case already exist in the database, and only datasets associated to this AF will be retrieved NOTE: if both id_role and id_af are provided, only the datasets possibly associated to both the AF and the user will be retrieved. """ if id_role: return sync_af_and_ds_by_user(id_role, id_af) else: return mtd_sync_af_and_ds()