def ingest(document_id, file_path=None):
"""Process a given document by extracting its contents.
This may include creating or updating child documents."""
document = Document.by_id(document_id)
if document is None:
log.error("Could not find document: %s", document_id)
return
# Work path will be used by storagelayer to cache a local
# copy of data from an S3-based archive, and by ingestors
# to perform processing and generate intermediary files.
work_path = mkdtemp(prefix="aleph.ingest.")
if file_path is None:
file_path = archive.load_file(document.content_hash,
file_name=document.safe_file_name,
temp_path=work_path)
try:
manager = get_manager()
result = DocumentResult(manager, document, file_path=file_path)
get_manager().ingest(file_path, result=result, work_path=work_path)
log.debug('Ingested [%s:%s]: %s', document.id, document.schema,
document.name)
db.session.commit()
process_document(document)
except Exception:
db.session.rollback()
document = Document.by_id(document_id)
log.exception("Ingest failed [%s]: %s", document.id, document.name)
finally:
# Removing the temp_path given to storagelayer makes it redundant
# to also call cleanup on the archive.
remove_directory(work_path)
def ingest(document_id, file_path=None, refresh=False):
"""Process a given document by extracting its contents.
This may include creating or updating child documents."""
document = Document.by_id(document_id)
if document is None:
log.error("Could not find document: %s", document_id)
return
# Work path will be used by storagelayer to cache a local
# copy of data from an S3-based archive, and by ingestors
# to perform processing and generate intermediary files.
work_path = mkdtemp(prefix="aleph.ingest.")
if file_path is None:
file_path = archive.load_file(document.content_hash,
file_name=document.safe_file_name,
temp_path=work_path)
try:
manager = get_manager()
result = DocumentResult(manager, document, file_path=file_path)
get_manager().ingest(file_path, result=result, work_path=work_path)
document.status = Document.STATUS_SUCCESS
log.debug('Ingested [%s:%s]: %s', document.id, document.schema,
document.name)
if document.collection.casefile and not refresh:
params = {'collection': document.collection, 'document': document}
publish(Events.INGEST_DOCUMENT,
actor_id=document.uploader_id,
params=params)
db.session.commit()
except Exception:
db.session.rollback()
document = Document.by_id(document_id)
log.exception("Ingest failed [%s]: %s", document.id, document.name)
document.status = Document.STATUS_FAIL
db.session.commit()
finally:
# Removing the temp_path given to storagelayer makes it redundant
# to also call cleanup on the archive.
remove_directory(work_path)
extract_document_tags(document)
# delete_entity(document.id, exclude=document.schema)
index_document(document)
refresh_entity(document)
def analyze_document_id(document_id):
"""Analyze a document after looking it up by ID."""
document = Document.by_id(document_id)
if document is None:
log.info("Could not find document: %r", document_id)
return
analyze_document(document)
def index_document(document_id):
document = Document.by_id(document_id)
if document is None:
log.info("Could not find document: %r", document_id)
return
try:
log.info("Index document: %r", document)
data = document.to_index_dict()
data['entities'] = generate_entities(document)
data['title_latin'] = latinize_text(data.get('title'))
data['summary_latin'] = latinize_text(data.get('summary'))
get_es().index(index=get_es_index(), doc_type=TYPE_DOCUMENT, body=data,
id=document.id)
clear_children(document)
if document.type == Document.TYPE_TEXT:
bulk(get_es(), generate_pages(document), stats_only=True,
chunk_size=2000, request_timeout=60.0)
if document.type == Document.TYPE_TABULAR:
bulk(get_es(), generate_records(document), stats_only=True,
chunk_size=2000, request_timeout=60.0)
except Exception as ex:
log.exception(ex)
process.exception(process.INDEX, component=__name__,
document_id=document.id, meta=document.meta,
source_id=document.source_id, exception=ex)
def get_document(document_id):
document = Document.by_id(document_id)
if document is None:
raise NotFound()
readable = [c for c in document.collection_ids if authz.collection_read(c)]
authz.require(len(readable))
return document
def test_upload_csv_doc(self):
_, headers = self.login(is_admin=True)
meta = {
"countries": ["de", "usa"],
"languages": ["en"],
"mime_type": "text/csv",
"source_url": "http://pudo.org/experts.csv",
}
csv_path = self.get_fixture_path("experts.csv")
data = {
"meta": json.dumps(meta),
"foo": open(csv_path, "rb"),
}
res = self.client.post(self.url, data=data, headers=headers)
assert res.status_code == 201, (res, res.data)
assert "id" in res.json, res.json
db_id, _ = res.json.get("id").split(".", 1)
doc = Document.by_id(db_id)
assert doc.schema == Document.SCHEMA, doc.schema
assert doc.meta["countries"] == ["de", "us"], doc.meta
assert doc.meta["languages"] == ["eng"], doc.meta
status = get_status(self.col)
assert status.get("pending") == 1, status
job = status.get("jobs")[0]
assert job.get("pending") == 1, job
stage = job.get("stages")[0]
assert stage.get("stage") == OP_INGEST, stage
assert stage.get("pending") == 1, stage
def index_document(document_id):
clear_session()
document = Document.by_id(document_id)
if document is None:
log.info("Could not find document: %r", document_id)
return
log.info("Index document: %r", document)
data = document.to_dict()
data['entities'] = generate_entities(document)
data['title_latin'] = latinize_text(data.get('title'))
data['summary_latin'] = latinize_text(data.get('summary'))
es.index(index=es_index, doc_type=TYPE_DOCUMENT, body=data,
id=document.id)
clear_children(document)
try:
if document.type == Document.TYPE_TEXT:
bulk(es, generate_pages(document), stats_only=True,
chunk_size=2000, request_timeout=60.0)
if document.type == Document.TYPE_TABULAR:
bulk(es, generate_records(document), stats_only=True,
chunk_size=2000, request_timeout=60.0)
except Exception as ex:
log.exception(ex)
def index_document_id(document_id):
document = Document.by_id(document_id)
if document is None:
log.info("Could not find document: %r", document_id)
return
index_document(document)
index_records(document)
def prune_entity(collection, entity_id=None, job_id=None):
"""Prune handles the full deletion of an entity outside of the HTTP request
cycle. This involves cleaning up adjacent entities like xref results, notifications
and so on."""
# This is recursive and will also delete any entities which
# reference the given entity. Usually this is going to be child
# documents, or directoships referencing a person. It's a pretty
# dangerous operation, though.
log.info("[%s] Prune entity: %s", collection, entity_id)
for adjacent in index.iter_adjacent(collection.id, entity_id):
log.warning("Recursive delete: %s", adjacent.get("id"))
delete_entity(collection, adjacent, job_id=job_id)
flush_notifications(entity_id, clazz=Entity)
obj = Entity.by_id(entity_id, collection=collection)
if obj is not None:
obj.delete()
doc = Document.by_id(entity_id, collection=collection)
if doc is not None:
doc.delete()
EntitySetItem.delete_by_entity(entity_id)
Mapping.delete_by_table(entity_id)
xref_index.delete_xref(collection, entity_id=entity_id)
aggregator = get_aggregator(collection)
aggregator.delete(entity_id=entity_id)
refresh_entity(collection, entity_id)
collection.touch()
db.session.commit()
def get_document(document_id, action=Authz.READ):
document = Document.by_id(document_id)
if document is None:
raise NotFound()
collections = request.authz.collections.get(action)
request.authz.require(document.collection_id in collections)
return document
def get_document(document_id):
document = Document.by_id(document_id)
if document is None:
raise NotFound()
readable = [c for c in document.collection_ids if authz.collection_read(c)]
authz.require(len(readable))
return document
def test_upload_csv_doc(self):
_, headers = self.login(is_admin=True)
meta = {
'countries': ['de', 'us'],
'languages': ['en'],
'mime_type': 'text/csv',
'source_url': 'http://pudo.org/experts.csv'
}
csv_path = self.get_fixture_path('experts.csv')
data = {
'meta': json.dumps(meta),
'foo': open(csv_path, 'rb'),
}
res = self.client.post(self.url, data=data, headers=headers)
assert res.status_code == 201, (res, res.data)
assert 'id' in res.json, res.json
doc = Document.by_id(res.json.get('id'))
assert doc.schema == Document.SCHEMA, doc.schema
status = get_status(self.col)
assert status.get('pending') == 1, status
op = status.get('operations')[0]
assert op.get('pending') == 1, op
assert op.get('operation') == OP_INGEST, op
def test_upload_csv_doc(self):
_, headers = self.login(is_admin=True)
meta = {
'countries': ['de', 'usa'],
'languages': ['en'],
'mime_type': 'text/csv',
'source_url': 'http://pudo.org/experts.csv'
}
csv_path = self.get_fixture_path('experts.csv')
data = {
'meta': json.dumps(meta),
'foo': open(csv_path, 'rb'),
}
res = self.client.post(self.url, data=data, headers=headers)
assert res.status_code == 201, (res, res.data)
assert 'id' in res.json, res.json
db_id, _ = res.json.get('id').split('.', 1)
doc = Document.by_id(db_id)
assert doc.schema == Document.SCHEMA, doc.schema
assert doc.meta['countries'] == ['de', 'us'], doc.meta
assert doc.meta['languages'] == ['eng'], doc.meta
status = get_status(self.col)
assert status.get('pending') == 1, status
job = status.get('jobs')[0]
assert job.get('pending') == 1, job
stage = job.get('stages')[0]
assert stage.get('stage') == OP_INGEST, stage
assert stage.get('pending') == 1, stage
def ingest(document_id, user_queue=False):
"""Process a given document by extracting its contents.
This may include creating or updating child documents."""
document = Document.by_id(document_id)
if document is None:
log.error("Could not find document: %s", document_id)
return
get_manager().ingest_document(document, user_queue=user_queue)
def analyze_document(document_id):
clear_session()
document = Document.by_id(document_id)
if document is None:
log.info("Could not find document: %r", document_id)
return
log.info("Analyze document: %r", document)
for cls in get_analyzers():
cls().analyze(document, document.meta)
index_document(document_id)
def analyze_document(document_id):
document = Document.by_id(document_id)
if document is None:
log.info("Could not find document: %r", document_id)
return
log.info("Analyze document: %r", document)
try:
for cls in get_analyzers():
cls().analyze(document, document.meta)
except Exception as ex:
log.exception(ex)
index_document(document_id)
def ingest(document_id, role_id=None):
"""Process a given document by extracting its contents.
This may include creating or updating child documents."""
document = Document.by_id(document_id)
if document is None:
log.error("Could not find document: %s", document_id)
return
get_manager().ingest_document(document, role_id=role_id)
pending = Document.pending_count(collection_id=document.collection.id)
if pending == 0:
ingest_complete(document.collection, role_id=role_id)
def _load_parent(collection_id, meta):
"""Determine the parent document for the document that is to be
ingested."""
parent_id = meta.get('parent_id')
if parent_id is None:
return
parent = Document.by_id(parent_id, collection_id=collection_id)
if parent is None:
raise BadRequest(response=jsonify({
'status': 'error',
'message': 'Cannot load parent document'
}, status=400))
return parent_id
def _load_parent(collection_id, meta):
"""Determine the parent document for the document that is to be
ingested."""
parent_id = meta.get('parent_id')
if parent_id is None:
return
parent = Document.by_id(parent_id, collection_id=collection_id)
if parent is None:
raise BadRequest(response=jsonify({
'status': 'error',
'message': 'Cannot load parent document'
}, status=400))
return parent_id
def analyze_document(document_id):
document = Document.by_id(document_id)
if document is None:
log.info("Could not find document: %r", document_id)
return
log.info("Analyze document: %r", document)
for cls in get_analyzers():
try:
cls().analyze(document, document.meta)
except Exception as ex:
log.exception(ex)
process.exception(process.ANALYZE, component=cls.__name__,
document_id=document.id, meta=document.meta,
source_id=document.source_id, exception=ex)
index_document(document_id)
def _load_parent(collection, meta):
# Determine the parent document for the document that is to be
# ingested. This can either be specified using a document ID,
# or using a foreign ID (because the document ID may not be as
# easily accessible to the client).
if 'parent' not in meta:
return
data = meta.get('parent')
parent = None
if not is_mapping(data):
parent = Document.by_id(data, collection_id=collection.id)
elif 'id' in data:
parent = Document.by_id(data.get('id'), collection_id=collection.id)
elif 'foreign_id' in data:
parent = Document.by_keys(collection=collection,
foreign_id=data.get('foreign_id'))
if parent is None:
raise BadRequest(response=jsonify(
{
'status': 'error',
'message': 'Cannot load parent document'
},
status=400))
return parent.id
def index_document(document_id):
document = Document.by_id(document_id)
if document is None:
log.info("Could not find document: %r", document_id)
return
log.info("Index document: %r", document)
data = document.to_index_dict()
data['entities'] = generate_entities(document)
data['title_latin'] = latinize_text(data.get('title'))
data['summary_latin'] = latinize_text(data.get('summary'))
get_es().index(index=get_es_index(), doc_type=TYPE_DOCUMENT, body=data,
id=document.id)
clear_records(document)
bulk_op(generate_records(document))
def index_document(document_id):
document = Document.by_id(document_id)
if document is None:
log.info("Could not find document: %r", document_id)
return
log.info("Index document: %r", document)
data = document.to_index_dict()
data['entities'] = generate_entities(document)
data['title_latin'] = latinize_text(data.get('title'))
data['summary_latin'] = latinize_text(data.get('summary'))
get_es().index(index=get_es_index(), doc_type=TYPE_DOCUMENT, body=data,
id=document.id)
clear_records(document)
bulk(get_es(), generate_records(document), stats_only=True,
chunk_size=2000, request_timeout=60.0)
def _load_parent(collection, meta):
"""Determine the parent document for the document that is to be
ingested."""
parent = ensure_dict(meta.get("parent"))
parent_id = meta.get("parent_id", parent.get("id"))
if parent_id is None:
return
parent = Document.by_id(parent_id, collection=collection)
if parent is None:
raise BadRequest(
response=jsonify(
{"status": "error", "message": "Cannot load parent document"},
status=400,
)
)
return parent
def delete_entity(entity, deleted_at=None, sync=False):
# This is recursive and will also delete any entities which
# reference the given entity. Usually this is going to be child
# documents, or directoships referencing a person. It's a pretty
# dangerous operation, though.
for adjacent in index.iter_adjacent(entity):
log.warning("Recursive delete: %r", adjacent)
delete_entity(adjacent, deleted_at=deleted_at, sync=sync)
flush_notifications(entity.get('id'), clazz=Entity)
obj = Entity.by_id(entity.get('id'))
if obj is not None:
obj.delete(deleted_at=deleted_at)
doc = Document.by_id(entity.get('id'))
if doc is not None:
doc.delete(deleted_at=deleted_at)
index.delete_entity(entity.get('id'), sync=sync)
refresh_entity(entity)
def index_document(document_id):
document = Document.by_id(document_id)
if document is None:
log.info("Could not find document: %r", document_id)
return
log.info("Index document: %r", document)
data = document.to_index_dict()
data['entities'] = generate_entities(document)
data['title_latin'] = latinize_text(data.get('title'))
data['summary_latin'] = latinize_text(data.get('summary'))
get_es().index(index=get_es_index(),
doc_type=TYPE_DOCUMENT,
body=data,
id=document.id)
clear_records(document)
bulk_op(generate_records(document))
def ingest(document_id, role_id=None):
"""Process a given document by extracting its contents.
This may include creating or updating child documents."""
document = Document.by_id(document_id)
if document is None:
log.error("Could not find document: %s", document_id)
return
get_manager().ingest_document(document, role_id=role_id)
# is this too often?
from aleph.logic.collections import update_collection
update_collection(document.collection)
from aleph.logic.notifications import publish
params = {'document': document, 'collection': document.collection}
publish(Events.INGEST_DOCUMENT, actor_id=role_id, params=params)
def generate_entity_references(entity):
if entity.state != Entity.STATE_ACTIVE:
return
# This is all a bit hacky: we're re-generating all the entity
# references for the given entity by effectively re-implementing
# the RegexEntityAnalyzer. The alternative was to conduct a
# search for potential matching documents, re-analyze them and
# re-index them. This proved to be too slow in reality.
log.info("Updating document references: %r", entity)
rex = '|'.join(entity.regex_terms)
rex = re.compile('( |^)(%s)( |$)' % rex)
documents = defaultdict(int)
try:
for document_id, text in scan_entity_mentions(entity):
text = normalize_strong(text)
if text is None or len(text) <= 2:
continue
for match in rex.finditer(text):
documents[document_id] += 1
except Exception:
log.exception('Failed to fully scan documents for entity refresh.')
q = db.session.query(Reference)
q = q.filter(Reference.entity_id == entity.id)
q = q.filter(Reference.origin == 'regex')
q.delete(synchronize_session='fetch')
log.info("Re-matching %r gave %r documents.", entity,
len(documents))
for document_id, weight in documents.items():
doc = Document.by_id(document_id)
if doc is None:
continue
ref = Reference()
ref.document_id = document_id
ref.entity_id = entity.id
ref.origin = 'regex'
ref.weight = weight
db.session.add(ref)
db.session.commit()
delete_entity_references(entity.id)
update_entity_references(entity.id)
def ingest_url(self, document_id, url):
"""Load the given URL into the document specified by document_id."""
document = Document.by_id(document_id)
if document is None:
log.error("Could not find document: %s", document_id)
return
tmp_path = make_tempfile(document.file_name, suffix=document.extension)
try:
log.info("Ingesting URL: %s", url)
res = requests.get(url, stream=True)
if res.status_code >= 500:
countdown = 3600 ** self.request.retries
self.retry(countdown=countdown)
return
if res.status_code >= 400:
document.status = Document.STATUS_FAIL
document.error_message = "HTTP %s: %s" % (res.status_code, url)
db.session.commit()
return
with open(tmp_path, 'w') as fh:
for chunk in res.iter_content(chunk_size=1024):
if chunk:
fh.write(chunk)
if not document.has_meta('source_url'):
document.source_url = res.url
if not document.foreign_id:
document.foreign_id = res.url
document.headers = res.headers
document.content_hash = archive.archive_file(tmp_path)
db.session.commit()
get_manager().ingest_document(document)
except IOError as ioe:
log.info("IO Failure: %r", ioe)
countdown = 3600 ** self.request.retries
self.retry(countdown=countdown)
except Exception as ex:
document.status = Document.STATUS_FAIL
document.error_type = type(ex).__name__
document.error_message = six.text_type(ex)
db.session.commit()
log.exception(ex)
finally:
db.session.remove()
remove_tempfile(tmp_path)
def generate_entity_references(entity):
if entity.state != Entity.STATE_ACTIVE:
return
# This is all a bit hacky: we're re-generating all the entity
# references for the given entity by effectively re-implementing
# the RegexEntityAnalyzer. The alternative was to conduct a
# search for potential matching documents, re-analyze them and
# re-index them. This proved to be too slow in reality.
log.info("Updating document references: %r", entity)
rex = '|'.join(entity.regex_terms)
rex = re.compile('( |^)(%s)( |$)' % rex)
documents = defaultdict(int)
try:
for document_id, text in scan_entity_mentions(entity):
text = normalize_strong(text)
if text is None or len(text) <= 2:
continue
for match in rex.finditer(text):
documents[document_id] += 1
except Exception:
log.exception('Failed to fully scan documents for entity refresh.')
q = db.session.query(Reference)
q = q.filter(Reference.entity_id == entity.id)
q = q.filter(Reference.origin == 'regex')
q.delete(synchronize_session='fetch')
log.info("Re-matching %r gave %r documents.", entity, len(documents))
for document_id, weight in documents.items():
doc = Document.by_id(document_id)
if doc is None:
continue
ref = Reference()
ref.document_id = document_id
ref.entity_id = entity.id
ref.origin = 'regex'
ref.weight = weight
db.session.add(ref)
db.session.commit()
delete_entity_references(entity.id)
update_entity_references(entity.id)
def analyze_document(document_id):
document = Document.by_id(document_id)
if document is None:
log.info("Could not find document: %r", document_id)
return
log.info("Analyze document: %r", document)
for cls in get_analyzers():
try:
cls().analyze(document, document.meta)
except Exception as ex:
log.exception(ex)
process.exception(process.ANALYZE,
component=cls.__name__,
document_id=document.id,
meta=document.meta,
source_id=document.source_id,
exception=ex)
index_document(document_id)
def ingest(document_id, role_id=None):
"""Process a given document by extracting its contents.
This may include creating or updating child documents."""
document = Document.by_id(document_id)
if document is None:
log.error("Could not find document: %s", document_id)
return
get_manager().ingest_document(document, role_id=role_id)
if document.collection.casefile:
index_collection(document.collection)
params = {
'document': document,
'collection': document.collection
}
publish(Events.INGEST_DOCUMENT,
actor_id=role_id,
params=params)
def generate_entity_references(entity):
if entity.state != Entity.STATE_ACTIVE:
return
rex = '|'.join(entity.regex_terms)
rex = re.compile('( |^)(%s)( |$)' % rex)
documents = defaultdict(int)
try:
for document_id, text in scan_entity_mentions(entity):
text = normalize_strong(text)
if text is None or len(text) <= 2:
continue
for match in rex.finditer(text):
documents[document_id] += 1
except Exception:
log.exception('Failed to fully scan documents for entity refresh.')
q = db.session.query(Reference)
q = q.filter(Reference.entity_id == entity.id)
q = q.filter(Reference.origin == 'regex')
q.delete(synchronize_session='fetch')
log.info("Re-matching %r gave %r documents.", entity,
len(documents))
for document_id, weight in documents.items():
doc = Document.by_id(document_id)
if doc is None:
continue
ref = Reference()
ref.document_id = document_id
ref.entity_id = entity.id
ref.origin = 'regex'
ref.weight = weight
db.session.add(ref)
db.session.commit()
delete_entity_references(entity.id)
q = db.session.query(func.distinct(Reference.document_id))
q = q.filter(Reference.entity_id == entity.id)
for document_id, in q:
index_document(document_id, index_records=False)
def generate_entity_references(entity):
if entity.state != Entity.STATE_ACTIVE:
return
rex = '|'.join(entity.regex_terms)
rex = re.compile('( |^)(%s)( |$)' % rex)
documents = defaultdict(int)
try:
for document_id, text in scan_entity_mentions(entity):
text = normalize_strong(text)
if text is None or len(text) <= 2:
continue
for match in rex.finditer(text):
documents[document_id] += 1
except Exception:
log.exception('Failed to fully scan documents for entity refresh.')
q = db.session.query(Reference)
q = q.filter(Reference.entity_id == entity.id)
q = q.filter(Reference.origin == 'regex')
q.delete(synchronize_session='fetch')
log.info("Re-matching %r gave %r documents.", entity, len(documents))
for document_id, weight in documents.items():
doc = Document.by_id(document_id)
if doc is None:
continue
ref = Reference()
ref.document_id = document_id
ref.entity_id = entity.id
ref.origin = 'regex'
ref.weight = weight
db.session.add(ref)
db.session.commit()
delete_entity_references(entity.id)
q = db.session.query(func.distinct(Reference.document_id))
q = q.filter(Reference.entity_id == entity.id)
for document_id, in q:
index_document(document_id, index_records=False)
def generate_entity_references(entity):
# This is all a bit hacky: we're re-generating all the entity
# references for the given entity by effectively re-implementing
# the RegexEntityAnalyzer. The alternative was to conduct a
# search for potential matching documents, re-analyze them and
# re-index them. This proved to be too slow in reality.
if entity.state != Entity.STATE_ACTIVE:
entity.delete_references(origin='regex')
return
log.info("Updating document references: %r", entity)
rex = '|'.join([t for t in entity.regex_terms])
rex = re.compile('(%s)' % rex)
documents = defaultdict(int)
try:
for document_id, text in scan_entity_mentions(entity):
text = match_form(text)
if text is None or len(text) <= 2:
continue
for match in rex.finditer(text):
documents[document_id] += 1
except Exception as ex:
log.exception(ex)
log.info("Re-matching %r gave %r documents.", entity, len(documents))
entity.delete_references(origin='regex')
for document_id, weight in documents.items():
doc = Document.by_id(document_id)
if doc is None:
continue
ref = Reference()
ref.document_id = doc.id
ref.entity_id = entity.id
ref.origin = 'regex'
ref.weight = weight
db.session.add(ref)
db.session.commit()
delete_entity_references(entity.id)
update_entity_references(entity)
def analyze_document(document_id):
document = Document.by_id(document_id)
if document is None:
log.info("Could not find document: %r", document_id)
return
log.info("Analyze document: %r", document)
analyzers = []
meta = document.meta
for cls in get_analyzers():
try:
analyzer = cls(document, meta)
analyzer.prepare()
analyzers.append(analyzer)
except Exception as ex:
log.exception(ex)
if document.type == Document.TYPE_TEXT:
for page in document.pages:
for analyzer in analyzers:
analyzer.on_page(page)
for text in page.text_parts():
for analyzer in analyzers:
analyzer.on_text(text)
if document.type == Document.TYPE_TABULAR:
for record in document.records:
for analyzer in analyzers:
analyzer.on_record(record)
for text in record.text_parts():
for analyzer in analyzers:
analyzer.on_text(text)
for analyzer in analyzers:
try:
analyzer.finalize()
except Exception as ex:
log.exception(ex)
document.meta = meta
db.session.add(document)
db.session.commit()
index_document(document_id)
def analyze_document(document_id):
document = Document.by_id(document_id)
if document is None:
log.info("Could not find document: %r", document_id)
return
log.info("Analyze document: %r", document)
analyzers = []
meta = document.meta
for cls in get_analyzers():
try:
analyzer = cls(document, meta)
analyzer.prepare()
analyzers.append(analyzer)
except Exception as ex:
log.exception(ex)
if document.type == Document.TYPE_TEXT:
for page in document.pages:
for analyzer in analyzers:
analyzer.on_page(page)
for text in page.text_parts():
for analyzer in analyzers:
analyzer.on_text(text)
if document.type == Document.TYPE_TABULAR:
for record in document.records:
for analyzer in analyzers:
analyzer.on_record(record)
for text in record.text_parts():
for analyzer in analyzers:
analyzer.on_text(text)
for analyzer in analyzers:
try:
analyzer.finalize()
except Exception as ex:
log.exception(ex)
document.meta = meta
db.session.add(document)
db.session.commit()
index_document(document_id)
def index_document(document_id):
document = Document.by_id(document_id)
if document is None:
log.info("Could not find document: %r", document_id)
return
log.info("Index document: %r", document)
data = document.to_index_dict()
data['entities'] = generate_entities(document)
data['title_latin'] = latinize_text(data.get('title'))
data['summary_latin'] = latinize_text(data.get('summary'))
get_es().index(index=get_es_index(),
doc_type=TYPE_DOCUMENT,
body=data,
id=document.id)
clear_records(document)
bulk(get_es(),
generate_records(document),
stats_only=True,
chunk_size=2000,
request_timeout=60.0)
def delete_entity(collection, entity, deleted_at=None, sync=False):
# This is recursive and will also delete any entities which
# reference the given entity. Usually this is going to be child
# documents, or directoships referencing a person. It's a pretty
# dangerous operation, though.
entity_id = collection.ns.sign(entity.get("id"))
for adjacent in index.iter_adjacent(entity):
log.warning("Recursive delete: %r", adjacent)
delete_entity(collection, adjacent, deleted_at=deleted_at, sync=sync)
flush_notifications(entity_id, clazz=Entity)
obj = Entity.by_id(entity_id, collection=collection)
if obj is not None:
obj.delete()
doc = Document.by_id(entity_id, collection=collection)
if doc is not None:
doc.delete()
index.delete_entity(entity_id, sync=sync)
EntitySetItem.delete_by_entity(entity_id)
Mapping.delete_by_table(entity_id)
xref_index.delete_xref(collection, entity_id=entity_id, sync=sync)
delete_aggregator_entity(collection, entity_id)
refresh_entity(collection, entity_id)
def index_document_id(document_id, index_records=True):
document = Document.by_id(document_id)
if document is None:
log.info("Could not find document: %r", document_id)
return
index_document(document)
def analyze_document_id(document_id):
document = Document.by_id(document_id)
if document is None:
log.info("Could not find document: %r", document_id)
return
analyze_document(document)
def process_document_id(document_id):
"""Perform post-ingest tasks like analysis and indexing."""
analyze_document(Document.by_id(document_id))
def get_document(document_id):
document = Document.by_id(document_id)
if document is None:
raise NotFound()
authz.require(authz.source_read(document.source_id))
return document
def get_db_document(document_id, action=Authz.READ):
document = obj_or_404(Document.by_id(document_id))
require(request.authz.can(document.collection_id, action))
return document
