def submission_fulltext_download(obj, eng):
submission_pdf = obj.extra_data.get('submission_pdf')
if submission_pdf and is_pdf_link(submission_pdf):
filename = secure_filename('fulltext.pdf')
pdf = download_file_to_workflow(
workflow=obj,
name=filename,
url=submission_pdf,
)
if pdf:
obj.data['documents'] = [
document for document in obj.data.get('documents', ())
if document.get('key') != filename
]
lb = LiteratureBuilder(source=obj.data['acquisition_source']['source'], record=obj.data)
lb.add_document(
filename,
fulltext=True,
original_url=submission_pdf,
url='/api/files/{bucket}/{key}'.format(bucket=obj.files[filename].bucket_id, key=filename)
)
obj.data = lb.record
obj.log.info('PDF provided by user from %s', submission_pdf)
return obj.files[filename].file.uri
else:
obj.log.info('Cannot fetch PDF provided by user from %s', submission_pdf)
def populate_arxiv_document(obj, eng):
arxiv_id = LiteratureReader(obj.data).arxiv_id
for conf_name in ('ARXIV_PDF_URL', 'ARXIV_PDF_URL_ALTERNATIVE'):
url = current_app.config[conf_name].format(arxiv_id=arxiv_id)
is_valid_pdf_link = is_pdf_link(url)
if is_valid_pdf_link:
break
try:
if NO_PDF_ON_ARXIV in requests.get(url).content:
obj.log.info('No PDF is available for %s', arxiv_id)
return
except requests.exceptions.RequestException:
raise DownloadError("Error accessing url {url}".format(url=url))
if not is_valid_pdf_link:
raise DownloadError("{url} is not serving a PDF file.".format(url=url))
filename = secure_filename('{0}.pdf'.format(arxiv_id))
obj.data['documents'] = [
document for document in obj.data.get('documents', ())
if document.get('key') != filename
]
lb = LiteratureBuilder(source='arxiv', record=obj.data)
lb.add_document(
filename,
fulltext=True,
hidden=True,
material='preprint',
original_url=url,
url=url,
)
obj.data = lb.record
def arxiv_plot_extract(obj, eng):
"""Extract plots from an arXiv archive.
:param obj: Workflow Object to process
:param eng: Workflow Engine processing the object
"""
arxiv_id = get_arxiv_id(obj.data)
filename = secure_filename('{0}.tar.gz'.format(arxiv_id))
tarball = obj.files[filename]
if tarball:
with TemporaryDirectory(prefix='plot_extract') as scratch_space:
tarball_file = retrieve_uri(tarball.file.uri, outdir=scratch_space)
try:
plots = process_tarball(
tarball_file,
output_directory=scratch_space,
)
except (InvalidTarball, NoTexFilesFound):
obj.log.info(
'Invalid tarball %s for arxiv_id %s',
tarball.file.uri,
arxiv_id,
)
return
except DelegateError as err:
obj.log.error(
'Error extracting plots for %s. Report and skip.',
arxiv_id,
)
current_app.logger.exception(err)
return
if 'figures' in obj.data:
for figure in obj.data['figures']:
if figure['key'] in obj.files:
del obj.files[figure['key']]
del obj.data['figures']
lb = LiteratureBuilder(source='arxiv', record=obj.data)
for index, plot in enumerate(plots):
plot_name = os.path.basename(plot.get('url'))
key = plot_name
if plot_name in obj.files.keys:
key = '{number}_{name}'.format(number=index,
name=plot_name)
with open(plot.get('url')) as plot_file:
obj.files[key] = plot_file
lb.add_figure(key=key,
caption=''.join(plot.get('captions', [])),
label=plot.get('label'),
material='preprint',
url='/api/files/{bucket}/{key}'.format(
bucket=obj.files[key].bucket_id,
key=key,
))
obj.data = lb.record
obj.log.info('Added {0} plots.'.format(len(plots)))
def populate_arxiv_document(obj, eng):
arxiv_id = get_arxiv_id(obj.data)
url = current_app.config['ARXIV_PDF_URL'].format(arxiv_id=arxiv_id)
if not is_pdf_link(url):
if NO_PDF_ON_ARXIV in requests.get(url).content:
obj.log.info('No PDF is available for %s', arxiv_id)
return
raise DownloadError("{url} is not serving a PDF file.".format(url=url))
filename = secure_filename('{0}.pdf'.format(arxiv_id))
obj.data['documents'] = [
document for document in obj.data.get('documents', ())
if document.get('key') != filename
]
lb = LiteratureBuilder(source='arxiv', record=obj.data)
lb.add_document(
filename,
fulltext=True,
hidden=True,
material='preprint',
original_url=url,
url=url,
)
obj.data = lb.record
def populate_arxiv_document(obj, eng):
arxiv_id = get_arxiv_id(obj.data)
for conf_name in ('ARXIV_PDF_URL', 'ARXIV_PDF_URL_ALTERNATIVE'):
url = current_app.config[conf_name].format(arxiv_id=arxiv_id)
is_valid_pdf_link = is_pdf_link(url)
if is_valid_pdf_link:
break
if NO_PDF_ON_ARXIV in requests.get(url).content:
obj.log.info('No PDF is available for %s', arxiv_id)
return
if not is_valid_pdf_link:
raise DownloadError("{url} is not serving a PDF file.".format(url=url))
filename = secure_filename('{0}.pdf'.format(arxiv_id))
obj.data['documents'] = [
document for document in obj.data.get('documents', ())
if document.get('key') != filename
]
lb = LiteratureBuilder(source='arxiv', record=obj.data)
lb.add_document(
filename,
fulltext=True,
hidden=True,
material='preprint',
original_url=url,
url=url,
)
obj.data = lb.record
def add_document_or_figure(
self,
metadata,
stream=None,
is_document=True,
file_name=None,
key=None,
):
"""Add a document or figure to the record.
Args:
metadata(dict): metadata of the document or figure, see the schemas
for more details, will be validated.
stream(file like object): if passed, will extract the file contents
from it.
is_document(bool): if the given information is for a document,
set to ```False``` for a figure.
file_name(str): Name of the file, used as a basis of the key for
the files store.
key(str): if passed, will use this as the key for the files store
and ignore ``file_name``, use it to overwrite existing keys.
Returns:
dict: metadata of the added document or figure.
Raises:
TypeError: if not ``file_name`` nor ``key`` are passed (one of
them is required).
"""
if not key and not file_name:
raise TypeError(
'No file_name and no key passed, at least one of them is '
'needed.'
)
if not key:
key = self._get_unique_files_key(base_file_name=file_name)
if stream is not None:
self.files[key] = stream
builder = LiteratureBuilder(record=self.to_dict())
metadata['key'] = key
metadata['url'] = '/api/files/{bucket}/{key}'.format(
bucket=self.files[key].bucket_id,
key=key,
)
if is_document:
builder.add_document(**metadata)
else:
builder.add_figure(**metadata)
super(InspireRecord, self).update(builder.record)
return metadata
def populate_submission_document(obj, eng):
submission_pdf = obj.extra_data.get('submission_pdf')
if submission_pdf and is_pdf_link(submission_pdf):
filename = secure_filename('fulltext.pdf')
obj.data['documents'] = [
document for document in obj.data.get('documents', ())
if document.get('key') != filename
]
lb = LiteratureBuilder(source=obj.data['acquisition_source']['source'],
record=obj.data)
lb.add_document(
filename,
fulltext=True,
url=submission_pdf,
original_url=submission_pdf,
)
obj.data = lb.record
def populate_submission_document(obj, eng):
submission_pdf = obj.extra_data.get('submission_pdf')
if submission_pdf and is_pdf_link(submission_pdf):
filename = secure_filename('fulltext.pdf')
obj.data['documents'] = [
document for document in obj.data.get('documents', ())
if document.get('key') != filename
]
lb = LiteratureBuilder(
source=obj.data['acquisition_source']['source'], record=obj.data)
lb.add_document(
filename,
fulltext=True,
url=submission_pdf,
original_url=submission_pdf,
)
obj.data = lb.record
def to_hep(self, source):
"""Get an output ready hep formatted record from the given
:class:`hepcrawl.utils.ParsedItem`, whatever format it's record might be.
Args:
source(str): string identifying the source for this item (ex. 'arXiv').
Returns:
hepcrawl.utils.ParsedItem: the new item, with the internal record
formated as hep record.
Raises:
UnknownItemFormat: if the source item format is unknown.
"""
builder = LiteratureBuilder(source=source)
builder.add_acquisition_source(
source=source,
method='hepcrawl',
date=datetime.datetime.now().isoformat(),
submission_number=os.environ.get('SCRAPY_JOB', ''),
)
self.record['acquisition_source'] = builder.record[
'acquisition_source']
if self.record_format == 'hep':
record = hep_to_hep(
hep_record=self.record,
record_files=self.record_files,
)
for document in record.get('documents', []):
if 'old_url' in document and 'original_url' not in document:
document['original_url'] = document['old_url']
del document['old_url']
return record
elif self.record_format == 'hepcrawl':
record = _normalize_hepcrawl_record(
item=self.record,
source=source,
)
return hepcrawl_to_hep(dict(record))
else:
raise UnknownItemFormat('Unknown ParsedItem::{}'.format(
self.record_format))
def assign_conference(record, conference_ref, cnum):
builder = LiteratureBuilder(record=record)
if not cnum:
raise MissingArgumentError("cnum is required.")
if not conference_ref:
raise MissingArgumentError("$ref is required.")
if not {"proceedings", "conference paper"}.intersection(
record.get_value("document_type")):
builder.add_document_type("conference paper")
if conference_ref not in builder.record.get_value(
"publication_info.conference_record",
[]) and cnum not in builder.record.get_value("publication_info.cnum",
[]):
builder.add_publication_info(cnum=cnum,
conference_record=conference_ref)
LOGGER.info(
"Assigning conference to record",
recid=record.control_number,
conference_ref=conference_ref,
cnum=cnum,
)
else:
for idx, publication_info_element in enumerate(
builder.record.get_value("publication_info")):
record_conference_ref = publication_info_element.get(
"conference_record", {})
record_cnum = publication_info_element.get("cnum", "")
if conference_ref == record_conference_ref and cnum == record_cnum:
LOGGER.warning(
"Conference already assigned to record",
recid=record.control_number,
conference_ref=conference_ref,
cnum=cnum,
)
elif conference_ref == record_conference_ref:
builder.record["publication_info"][idx]["cnum"] = cnum
LOGGER.warning(
"conference ref already assigned to paper without cnum.",
recid=record.control_number,
conference_ref=conference_ref,
cnum=cnum,
)
elif cnum == record_cnum:
builder.record["publication_info"][idx][
"conference_record"] = conference_ref
LOGGER.warning(
"conference cnum already assigned to paper without ref.",
recid=record.control_number,
conference_ref=conference_ref,
cnum=cnum,
)
return dict(builder.record)
def process_cds_record(cds_record):
control_numbers = get_value(cds_record, "metadata.other_ids", [])
arxivs = get_value(cds_record, "metadata.eprints", [])
dois = get_value(cds_record, "metadata.dois.value", [])
report_numbers = get_value(cds_record, "metadata.report_numbers.value", [])
cds_id = cds_record.get("id") or get_value(cds_record,
"metadata.control_number", [])
if not cds_id:
LOGGER.info(
"Cannot extract CDS id from CDS response",
cds_data=cds_record,
)
return
record = get_record_for_provided_ids(control_numbers, arxivs, dois,
report_numbers)
if not record:
LOGGER.warning(
"Cannot find record with any of the provided IDS",
control_numbers=control_numbers,
arxivs=arxivs,
dois=dois,
report_numbers=report_numbers,
)
return None
control_number = record.control_number
ids = record.get("external_system_identifiers", [])
values = get_values_for_schema(ids, "CDS")
if cds_id in values:
LOGGER.info(
"Correct CDS identifier is already present in the record",
recid=control_number,
cds_id=cds_id,
)
return
builder = LiteratureBuilder(record=record)
builder.add_external_system_identifier(cds_id, "CDS")
data = dict(builder.record)
record.update(data)
def add_figures(self, figures):
builder = LiteratureBuilder()
with ThreadPoolExecutor(max_workers=current_app.config.get(
"FILES_MAX_UPLOAD_THREADS", 5)) as executor:
tasks = self._generate_and_submit_files_tasks(figures, executor)
processed_figures = self._process_tasks_results(tasks, figures)
if processed_figures:
for document in processed_figures:
self._update_file_entry(document, builder.add_figure)
return builder.record.get("figures")
def arxiv_fulltext_download(obj, eng):
"""Perform the fulltext download step for arXiv records.
:param obj: Workflow Object to process
:param eng: Workflow Engine processing the object
"""
arxiv_id = get_arxiv_id(obj.data)
filename = secure_filename('{0}.pdf'.format(arxiv_id))
url = current_app.config['ARXIV_PDF_URL'].format(arxiv_id=arxiv_id)
if not is_pdf_link(url):
if NO_PDF_ON_ARXIV in requests.get(url).content:
obj.log.info('No PDF is available for %s', arxiv_id)
return
raise DownloadError("{url} is not serving a PDF file.".format(url=url))
pdf = download_file_to_workflow(
workflow=obj,
name=filename,
url=url,
)
if pdf:
obj.data['documents'] = [
document for document in obj.data.get('documents', ())
if document.get('key') != filename
]
lb = LiteratureBuilder(source='arxiv', record=obj.data)
lb.add_document(filename,
fulltext=True,
hidden=True,
material='preprint',
original_url=url,
url='/api/files/{bucket}/{key}'.format(
bucket=obj.files[filename].bucket_id,
key=filename))
obj.data = lb.record
obj.log.info('PDF retrieved from arXiv for %s', arxiv_id)
else:
obj.log.error('Cannot retrieve PDF from arXiv for %s', arxiv_id)
def add_document_or_figure(
self,
metadata,
stream=None,
is_document=True,
file_name=None,
key=None,
):
"""Add a document or figure to the record.
Args:
metadata(dict): metadata of the document or figure, see the schemas
for more details, will be validated.
stream(file like object): if passed, will extract the file contents
from it.
is_document(bool): if the given information is for a document,
set to ```False``` for a figure.
file_name(str): Name of the file, used as a basis of the key for
the files store.
key(str): if passed, will use this as the key for the files store
and ignore ``file_name``, use it to overwrite existing keys.
Returns:
dict: metadata of the added document or figure.
Raises:
TypeError: if not ``file_name`` nor ``key`` are passed (one of
them is required).
"""
if not key and not file_name:
raise TypeError(
'No file_name and no key passed, at least one of them is '
'needed.'
)
if not key:
key = self._get_unique_files_key(base_file_name=file_name)
if stream is not None:
self.files[key] = stream
builder = LiteratureBuilder(record=self.dumps())
metadata['key'] = key
metadata['url'] = '/api/files/{bucket}/{key}'.format(
bucket=self.files[key].bucket_id,
key=key,
)
if is_document:
builder.add_document(**metadata)
else:
builder.add_figure(**metadata)
super(InspireRecord, self).update(builder.record)
return metadata
def test_append_to():
formdata = ''
builder = LiteratureBuilder("test")
expected_result = None
builder._append_to('test_field', formdata)
assert builder.record.get('test_field') is expected_result
formdata = 'value'
expected_result = ['value']
builder._append_to('test_field_2', formdata)
assert builder.record.get('test_field_2') == expected_result
def add_files(self, documents=None, figures=None):
"""Public method for adding documents and figures
Args:
documents (list[dict]): List of documents which should be added to this
record
figures (list[dict]): List of figures which should be added to this record
Documents and figures are lists of dicts.
Most obscure dict which whould be provided for each file is:
{
'url': 'http:// or /api/file/bucket_id/file_key'
'is_document': True or False(default)
}
Returns:
list: list of added keys
"""
if not documents and not figures:
raise TypeError("No files passed, at least one is needed")
if not current_app.config.get("FEATURE_FLAG_ENABLE_FILES", False):
if figures:
self.setdefault("figures", []).extend(figures)
if documents:
self.setdefault("documents", []).extend(documents)
return []
files = []
builder = LiteratureBuilder(record=self)
if documents:
doc_keys = [
doc_metadata["key"]
for doc_metadata in self.get("documents", [])
]
for doc in documents:
metadata = self._add_file(document=True, **doc)
if metadata["key"] not in doc_keys:
builder.add_document(**metadata)
files.append(metadata)
if figures:
fig_keys = [
fig_metadata["key"]
for fig_metadata in self.get("figures", [])
]
for fig in figures:
metadata = self._add_file(**fig)
if metadata["key"] not in fig_keys:
builder.add_figure(**metadata)
files.append(metadata)
# FIXME: this is wrong every time it goes to ``update``` function
# which means update refs, pidstore etc..
super().update(builder.record.dumps())
return files
def add_documents(self, documents):
builder = LiteratureBuilder()
documents_hidden = list(
filter(lambda x: x.get("hidden", False), documents))
documents_to_process = list(
filter(lambda x: not x.get("hidden", False), documents))
for document in documents_hidden:
self._update_file_entry(document, builder.add_document)
with ThreadPoolExecutor(max_workers=current_app.config.get(
"FILES_MAX_UPLOAD_THREADS", 5)) as executor:
tasks = self._generate_and_submit_files_tasks(
documents_to_process, executor)
processed_documents = self._process_tasks_results(
tasks, documents_to_process)
if processed_documents:
for document in processed_documents:
self._update_file_entry(document, builder.add_document)
return builder.record.get("documents")
def arxiv_plot_extract(obj, eng):
"""Extract plots from an arXiv archive.
:param obj: Workflow Object to process
:param eng: Workflow Engine processing the object
"""
# Crude way to set memory limits for wand globally.
mem_limit = current_app.config.get("WAND_MEMORY_LIMIT")
if mem_limit and limits['memory'] != mem_limit:
limits['memory'] = mem_limit
# This sets disk limit, if not set it will swap data on disk
# instead of throwing exception
limits['disk'] = current_app.config.get("WAND_DISK_LIMIT", 0)
# It will throw an exception when memory and disk limit exceeds.
# At least workflow status will be saved.
arxiv_id = LiteratureReader(obj.data).arxiv_id
filename = secure_filename('{0}.tar.gz'.format(arxiv_id))
try:
tarball = obj.files[filename]
except KeyError:
obj.log.info('No file named=%s for arxiv_id %s', filename, arxiv_id)
return
with TemporaryDirectory(prefix='plot_extract') as scratch_space, \
retrieve_uri(tarball.file.uri, outdir=scratch_space) as tarball_file:
try:
plots = process_tarball(
tarball_file,
output_directory=scratch_space,
)
except (InvalidTarball, NoTexFilesFound):
obj.log.info(
'Invalid tarball %s for arxiv_id %s',
tarball.file.uri,
arxiv_id,
)
return
except DelegateError as err:
obj.log.error(
'Error extracting plots for %s. Report and skip.',
arxiv_id,
)
current_app.logger.exception(err)
return
if 'figures' in obj.data:
for figure in obj.data['figures']:
if figure['key'] in obj.files:
del obj.files[figure['key']]
del obj.data['figures']
lb = LiteratureBuilder(source='arxiv', record=obj.data)
for index, plot in enumerate(plots):
plot_name = os.path.basename(plot.get('url'))
key = plot_name
if plot_name in obj.files.keys:
key = 'w{number}_{name}'.format(
number=index,
name=plot_name,
)
with open(plot.get('url')) as plot_file:
obj.files[key] = plot_file
lb.add_figure(
key=key,
caption=''.join(plot.get('captions', [])),
label=plot.get('label'),
material='preprint',
url='/api/files/{bucket}/{key}'.format(
bucket=obj.files[key].bucket_id,
key=key,
)
)
obj.data = lb.record
obj.log.info('Added {0} plots.'.format(len(plots)))
def arxiv_plot_extract(obj, eng):
"""Extract plots from an arXiv archive.
:param obj: Workflow Object to process
:param eng: Workflow Engine processing the object
"""
arxiv_id = get_arxiv_id(obj.data)
filename = secure_filename('{0}.tar.gz'.format(arxiv_id))
tarball = obj.files[filename]
if tarball:
with TemporaryDirectory(prefix='plot_extract') as scratch_space, \
retrieve_uri(tarball.file.uri, outdir=scratch_space) as tarball_file:
try:
plots = process_tarball(
tarball_file,
output_directory=scratch_space,
)
except (InvalidTarball, NoTexFilesFound):
obj.log.info(
'Invalid tarball %s for arxiv_id %s',
tarball.file.uri,
arxiv_id,
)
return
except DelegateError as err:
obj.log.error(
'Error extracting plots for %s. Report and skip.',
arxiv_id,
)
current_app.logger.exception(err)
return
if 'figures' in obj.data:
for figure in obj.data['figures']:
if figure['key'] in obj.files:
del obj.files[figure['key']]
del obj.data['figures']
lb = LiteratureBuilder(source='arxiv', record=obj.data)
for index, plot in enumerate(plots):
plot_name = os.path.basename(plot.get('url'))
key = plot_name
if plot_name in obj.files.keys:
key = 'w{number}_{name}'.format(
number=index,
name=plot_name,
)
with open(plot.get('url')) as plot_file:
obj.files[key] = plot_file
lb.add_figure(
key=key,
caption=''.join(plot.get('captions', [])),
label=plot.get('label'),
material='preprint',
url='/api/files/{bucket}/{key}'.format(
bucket=obj.files[key].bucket_id,
key=key,
)
)
obj.data = lb.record
obj.log.info('Added {0} plots.'.format(len(plots)))
