import collections
from datetime import datetime
from glob import glob
-from urlparse import urlparse, urlunparse
-from urllib2 import urlopen
+from urllib.parse import urlparse, urlunparse
+from urllib.request import urlopen
import logging
import os
import sys
import types
+from pkg_resources import resource_listdir, resource_string
import lxml.html
import lxml.html.clean
"""A very simple display of sparql query results showing name value pairs
"""
for row in results:
- for k, v in row.items()[::-1]:
- print "{0}: {1}".format(k, v)
- print
+ for k, v in list(row.items())[::-1]:
+ print("{0}: {1}".format(k, v))
+ print()
def html_query_results(result_stream):
from django.conf import settings
for row in result_stream:
new_row = collections.OrderedDict()
row_urls = []
- for k,v in row.items():
+ for k,v in list(row.items()):
new_row[k] = Simplified(v)
results.append(new_row)
context = Context({'results': results,})
- print template.render(context)
+ print(template.render(context))
def blankOrUri(value=None):
"""Return a blank node for None or a resource node for strings.
node = None
if value is None:
node = RDF.Node()
- elif type(value) in types.StringTypes:
+ elif type(value) in str:
node = RDF.Node(uri_string=value)
elif isinstance(value, RDF.Node):
node = value
return node
-def toTypedNode(value):
+def toTypedNode(value, language="en"):
"""Convert a python variable to a RDF Node with its closest xsd type
"""
- if type(value) == types.BooleanType:
+ if type(value) == bool:
value_type = xsdNS['boolean'].uri
if value:
- value = u'1'
+ value = '1'
else:
- value = u'0'
- elif type(value) in (types.IntType, types.LongType):
+ value = '0'
+ elif type(value) in (int, int):
value_type = xsdNS['decimal'].uri
- value = unicode(value)
- elif type(value) == types.FloatType:
+ value = str(value)
+ elif type(value) == float:
value_type = xsdNS['float'].uri
- value = unicode(value)
+ value = str(value)
elif isinstance(value, datetime):
value_type = xsdNS['dateTime'].uri
if value.microsecond == 0:
value = value.strftime(ISOFORMAT_MS)
else:
value_type = None
- value = unicode(value)
+ value = str(value)
if value_type is not None:
node = RDF.Node(literal=value, datatype=value_type)
else:
- node = RDF.Node(literal=unicode(value).encode('utf-8'))
+ node = RDF.Node(literal=str(value).encode('utf-8'), language=language)
return node
elif value_type in ('dateTime'):
try:
return datetime.strptime(literal, ISOFORMAT_MS)
- except ValueError, _:
+ except ValueError as _:
return datetime.strptime(literal, ISOFORMAT_SHORT)
return literal
def load_into_model(model, parser_name, path, ns=None):
- if type(ns) in types.StringTypes:
+ if type(ns) in str:
ns = RDF.Uri(ns)
if isinstance(path, RDF.Node):
retries -= 1
statements = rdf_parser.parse_as_stream(url, ns)
retries = 0
- except RDF.RedlandError, e:
+ except RDF.RedlandError as e:
errmsg = "RDF.RedlandError: {0} {1} tries remaining"
logger.error(errmsg.format(str(e), retries))
def fixup_namespace(ns):
if ns is None:
ns = RDF.Uri("http://localhost/")
- elif type(ns) in types.StringTypes:
+ elif type(ns) in str:
ns = RDF.Uri(ns)
elif not(isinstance(ns, RDF.Uri)):
errmsg = "Namespace should be string or uri not {0}"
or in the list of directories provided in schema_path
"""
- if schema_path is None:
- path, _ = os.path.split(__file__)
- schema_path = [os.path.join(path, 'schemas')]
- elif type(schema_path) in types.StringTypes:
- schema_path = [schema_path]
+ schemas = resource_listdir(__name__, 'schemas')
+ for s in schemas:
+ schema = resource_string(__name__, 'schemas/' + s)
+ namespace = 'file://localhost/htsworkflow/schemas/'+s
+ add_schema(model, schema, namespace)
+
+ if schema_path:
+ if type(schema_path) in str:
+ schema_path = [schema_path]
- for p in schema_path:
- for f in glob(os.path.join(p, '*.turtle')):
- add_schema(model, f)
+ for path in schema_path:
+ for pathname in glob(os.path.join(path, '*.turtle')):
+ url = 'file://' + os.path.splitext(pathname)[0]
+ stream = open(pathname, 'r')
+ add_schema(model, stream, url)
+ stream.close()
-def add_schema(model, filename):
+def add_schema(model, schema, url):
"""Add a schema to a model.
Main difference from 'load_into_model' is it tags it with
"""
parser = RDF.Parser(name='turtle')
context = RDF.Node(RDF.Uri(SCHEMAS_URL))
- url = 'file://' + filename
- for s in parser.parse_as_stream(url):
+ for s in parser.parse_string_as_stream(schema, url):
try:
model.append(s, context)
except RDF.RedlandError as e:
writer.set_namespace('wot', wotNS._prefix)
# should these be here, kind of specific to an application
- writer.set_namespace('libraryOntology', libraryOntology._prefix)
+ writer.set_namespace('htswlib', libraryOntology._prefix)
writer.set_namespace('ucscSubmission', submissionOntology._prefix)
writer.set_namespace('ucscDaf', dafTermOntology._prefix)
+ writer.set_namespace('geoSoft', geoSoftNS._prefix)
+ writer.set_namespace('encode3', encode3NS._prefix)
return writer
+def get_turtle_header():
+ """Return a turtle header with our typical namespaces
+ """
+ serializer = get_serializer()
+ empty = get_model()
+ return serializer.serialize_model_to_string(empty)
def dump_model(model, destination=None):
if destination is None:
projects / htsworkflow.git / blobdiff