def get_dataset_details(info_role, id_dataset):
"""
Get one dataset with nomenclatures and af
.. :quickref: Metadata;
:param id_dataset: the id_dataset
:param type: int
:returns: dict<TDatasetDetails>
"""
return get_dataset_details_dict(id_dataset, info_role)
def get_dataset_details(info_role, id_dataset):
"""
Get one dataset with nomenclatures and af
.. :quickref: Metadata;
:param id_dataset: the id_dataset
:param type: int
:returns: dict<TDatasetDetails>
"""
dataset = get_dataset_details_dict(id_dataset)
if info_role.value_filter != "3":
try:
if info_role.value_filter == "1":
actors = [
cor["id_role"] for cor in dataset["cor_dataset_actor"]
]
assert info_role.id_role in actors
elif info_role.value_filter == "2":
actors = [
cor["id_role"] for cor in dataset["cor_dataset_actor"]
]
organisms = [
cor["id_organism"] for cor in dataset["cor_dataset_actor"]
]
assert (info_role.id_role in actors
or info_role.id_organisme in organisms)
except AssertionError:
raise InsufficientRightsError(
('User "{}" cannot read this current dataset').format(
info_role.id_role),
403,
)
return dataset
def get_export_pdf_dataset(id_dataset, info_role):
"""
Get a PDF export of one dataset
"""
# Verification des droits
if info_role.value_filter == "0":
raise InsufficientRightsError(
('User "{}" cannot "{}" a dataset').format(info_role.id_role,
"export"),
403,
)
df = get_dataset_details_dict(id_dataset, info_role)
if info_role.value_filter != "3":
try:
if info_role.value_filter == "1":
actors = [cor["id_role"] for cor in df["cor_dataset_actor"]]
assert info_role.id_role in actors
elif info_role.value_filter == "2":
actors = [cor["id_role"] for cor in df["cor_dataset_actor"]]
organisms = [
cor["id_organism"] for cor in df["cor_dataset_actor"]
]
assert info_role.id_role in actors or info_role.id_organisme in organisms
except AssertionError:
raise InsufficientRightsError(
('User "{}" cannot read this current dataset').format(
info_role.id_role),
403,
)
if not df:
return (
render_template(
"error.html",
error="Le dataset presente des erreurs",
redirect=current_app.config["URL_APPLICATION"] + "/#/metadata",
),
404,
)
if len(df["dataset_desc"]) > 240:
df["dataset_desc"] = df["dataset_desc"][:240] + "..."
df["css"] = {
"logo": "Logo_pdf.png",
"bandeau": "Bandeau_pdf.png",
"entite": "sinp",
}
date = dt.datetime.now().strftime("%d/%m/%Y")
df["footer"] = {
"url":
current_app.config["URL_APPLICATION"] + "/#/metadata/dataset_detail/" +
id_dataset,
"date":
date,
}
filename = "jdd_{}_{}_{}.pdf".format(
id_dataset,
df["dataset_shortname"].replace(" ", "_"),
dt.datetime.now().strftime("%d%m%Y_%H%M%S"),
)
# Appel de la methode pour generer un pdf
pdf_file = fm.generate_pdf("dataset_template_pdf.html", df, filename)
pdf_file_posix = Path(pdf_file)
return send_from_directory(str(pdf_file_posix.parent),
pdf_file_posix.name,
as_attachment=True)
def get_export_pdf_dataset(id_dataset, info_role):
"""
Get a PDF export of one dataset
"""
df = get_dataset_details_dict(id_dataset, info_role)
if info_role.value_filter != "3":
try:
user_actor = [cor["id_role"] for cor in df["cor_dataset_actor"] if cor["id_role"]]
user_actor.append(df.get('id_digitizer'))
if info_role.value_filter == "1":
assert info_role.id_role in user_actor
elif info_role.value_filter == "2":
organisms = [cor["id_organism"] for cor in df["cor_dataset_actor"] if cor["id_organism"]]
assert info_role.id_role in user_actor or info_role.id_organisme in organisms
except AssertionError:
raise InsufficientRightsError(
('User "{}" cannot export this current dataset').format(info_role.id_role), 403,
)
if not df:
return (
render_template(
"error.html",
error="Le dataset presente des erreurs",
redirect=current_app.config["URL_APPLICATION"] + "/#/metadata",
),
404,
)
if len(df["dataset_desc"]) > 240:
df["dataset_desc"] = df["dataset_desc"][:240] + "..."
df["css"] = {
"logo": "Logo_pdf.png",
"bandeau": "Bandeau_pdf.png",
"entite": "sinp",
}
df["title"] = current_app.config["METADATA"]["DS_PDF_TITLE"]
date = dt.datetime.now().strftime("%d/%m/%Y")
df["footer"] = {
"url": current_app.config["URL_APPLICATION"] + "/#/metadata/dataset_detail/" + id_dataset,
"date": date,
}
filename = "jdd_{}_{}_{}.pdf".format(
id_dataset,
df["dataset_shortname"].replace(" ", "_"),
dt.datetime.now().strftime("%d%m%Y_%H%M%S"),
)
try:
f = open(str(BACKEND_DIR) + "/static/images/taxa.png")
f.close()
df["chart"] = True
except IOError:
df["chart"] = False
# Appel de la methode pour generer un pdf
pdf_file = fm.generate_pdf("dataset_template_pdf.html", df, filename)
pdf_file_posix = Path(pdf_file)
return send_from_directory(str(pdf_file_posix.parent), pdf_file_posix.name, as_attachment=True)
