def test_0_check_setup(self):
offset = '/api/rest/package'
resB = self.app.get(offset).body
resA = self.sub_app_get(offset)
pkgsB = json.loads(resB or '[]')
pkgsA = json.loads(resA or '[]')
assert len(pkgsA) == 2
assert len(pkgsB) == 0
def json_validator(value, context):
if value == '':
return value
try:
json.loads(value)
except ValueError:
raise Invalid('Invalid JSON')
return value
def _get_resources(self, resType):
''' return id,uuid,title '''
# todo : transform into a generator using paged retrieving in API
url = '%s/api/%s/' % (self.baseurl, resType)
log.info('Retrieving %s at GeoNode URL %s', resType, url)
request = urllib2.Request(url)
opener = urllib2.build_opener(urllib2.HTTPCookieProcessor(), urllib2.HTTPRedirectHandler())
response = opener.open(request)
content = response.read()
json_content = json.loads(content)
objects = json_content['objects']
ret = []
for layer in objects:
lid = layer['id']
luuid = layer['uuid']
ltitle = layer['title']
log.info('%s: found %s %s %s', resType, lid, luuid, ltitle)
ret.append({'id': lid, 'uuid': luuid, 'title': ltitle})
return ret
def duplicate_validator(key, data, errors, context):
if errors[key]:
return
value = json.loads(data[key])
unduplicated = list(set(value))
data[key] = json.dumps(unduplicated)
def comuni():
response_body = ''
try:
comuni = json.loads(response_body)
except Exception, inst:
msg = "Couldn't read response from comuni service %r: %s" % (response_body, inst)
raise Exception, inst
def get_package_dict(self, harvest_object):
'''
Constructs a package_dict suitable to be passed to package_create or
package_update.
If a dict is not returned by this function, the import stage will be cancelled.
:param harvest_object: HarvestObject domain object (with access to job and source objects)
:type harvest_object: HarvestObject
:returns: A dataset dictionary (package_dict)
:rtype: dict
'''
json_dict = json.loads(harvest_object.content)
doc_type = json_dict[GEONODE_TYPE]
if doc_type == GEONODE_LAYER_TYPE:
return self.get_layer_package_dict(harvest_object, harvest_object.content)
elif doc_type == GEONODE_MAP_TYPE:
return self.get_map_package_dict(harvest_object, harvest_object.content)
elif doc_type == GEONODE_DOC_TYPE:
return self.get_doc_package_dict(harvest_object, harvest_object.content)
else:
log.error('Unknown GeoNode type %s' % doc_type)
return None
def append_time_period(key, data, errors, context):
if errors[key]:
return
value = data[key]
if data.get(('time_period',), ''):
out = json.loads(value)
out.append(data[('time_period',)])
data[key] = json.dumps(out)
def test_group_autocomplete(self):
url = url_for(controller="api", action="group_autocomplete", ver=2)
assert_equal(url, "/api/2/util/group/autocomplete")
response = self.app.get(url=url, params={"q": u"dave"}, status=200)
results = json.loads(response.body)
assert_equal(len(results), 1)
assert_equal(results[0]["name"], "david")
assert_equal(results[0]["title"], "Dave's books")
assert_equal(response.header("Content-Type"), "application/json;charset=utf-8")
def _set_source_config(self, config_str):
'''
Loads the source configuration JSON object into a dict for
convenient access
'''
if config_str:
self.source_config = json.loads(config_str)
log.debug('Using config: %r' % self.source_config)
else:
self.source_config = {}
def test_simple_dump_json(self):
json_filepath = '/tmp/dump.tmp'
self.db.args = ('simple-dump-json %s' % json_filepath).split()
self.db.simple_dump_json()
assert os.path.exists(json_filepath), json_filepath
f_obj = open(json_filepath, "r")
rows = json.loads(f_obj.read())
assert set(rows[0].keys()) > set(('id', 'name', 'title')), rows[0].keys()
pkg_names = set(row['name'] for row in rows)
assert 'annakarenina' in pkg_names, pkg_names
assert 'warandpeace' not in pkg_names, pkg_names
def test_status(self):
response = self.app.get(url=url_for(controller="api", action="status", ver=2), params={}, status=200)
res = json.loads(response.body)
assert_equal(res["ckan_version"], __version__)
assert_equal(res["site_url"], "http://test.ckan.net")
assert_equal(res["site_title"], "CKAN")
assert_equal(res["site_description"], "")
assert_equal(res["locale_default"], "en")
assert_equal(type(res["extensions"]), list)
expected_extensions = set(("stats",))
assert_equal(set(res["extensions"]), expected_extensions)
def load_licenses(self, license_url):
try:
response = urllib2.urlopen(license_url)
response_body = response.read()
except Exception as inst:
msg = "Couldn't connect to licenses service %r: %s" % (license_url, inst)
raise Exception(msg)
try:
license_data = json.loads(response_body)
except Exception as inst:
msg = "Couldn't read response from licenses service %r: %s" % (response_body, inst)
raise Exception(inst)
self._create_license_list(license_data, license_url)
def before_index(self, data_dict):
data_dict.update({'data_type_facet': '', 'proj_facet': '', 'language_facet': '',
'encoding_facet': '', 'theme_keyword_facets': [], 'loc_keyword_facet': []})
fields = helpers.get_field_choices('dataset')
for field_name in ['data_type', 'proj', 'language', 'encoding']:
value = data_dict.get(field_name)
if value:
data_dict[field_name+'_facet'] = fields[field_name][value]
if data_dict.get('theme_keyword'):
data_dict['theme_keyword_facets'] = json.loads(data_dict.get('theme_keyword'))
#For old schema definition
for i in range(5):
field_name = 'theme_keyword_' + str(i+1)
if isinstance(data_dict.get(field_name), unicode):
data_dict['theme_keyword_facets'].append(fields['theme_keyword'].get(data_dict[field_name]))
if data_dict.get('loc_keyword'):
data_dict['loc_keyword_facet'] = json.loads(data_dict.get('loc_keyword'))
if isinstance(data_dict['loc_keyword_facet'], list):
data_dict['loc_keyword_facet'] = [fields['loc_keyword'][loc_keyword] for loc_keyword in filter(None, data_dict['loc_keyword_facet'])]
#For old schema definition
elif isinstance(data_dict['loc_keyword_facet'], int):
data_dict['loc_keyword_facet'] = fields['loc_keyword'][str(data_dict['loc_keyword'])]
return data_dict
def _get_request_data(try_url_params=False):
u'''Returns a dictionary, extracted from a request.
If there is no data, None or "" is returned.
ValueError will be raised if the data is not a JSON-formatted dict.
The data is retrieved as a JSON-encoded dictionary from the request
body. Or, if the `try_url_params` argument is True and the request is
a GET request, then an attempt is made to read the data from the url
parameters of the request.
try_url_params
If try_url_params is False, then the data_dict is read from the
request body.
If try_url_params is True and the request is a GET request then the
data is read from the url parameters. The resulting dict will only
be 1 level deep, with the url-param fields being the keys. If a
single key has more than one value specified, then the value will
be a list of strings, otherwise just a string.
'''
def mixed(multi_dict):
u'''Return a dict with values being lists if they have more than one
item or a string otherwise
'''
out = {}
for key, value in multi_dict.to_dict(flat=False).iteritems():
out[key] = value[0] if len(value) == 1 else value
return out
if not try_url_params and request.method == u'GET':
raise ValueError(u'Invalid request. Please use POST method '
'for your request')
request_data = {}
if request.method in [u'POST', u'PUT'] and request.form:
if (len(request.form.values()) == 1 and
request.form.values()[0] in [u'1', u'']):
try:
request_data = json.loads(request.form.keys()[0])
except ValueError, e:
raise ValueError(
u'Error decoding JSON data. '
'Error: %r '
'JSON data extracted from the request: %r' %
(e, request_data))
else:
request_data = mixed(request.form)
def test_group_autocomplete(self):
url = url_for(controller='api', action='group_autocomplete', ver=2)
assert_equal(url, '/api/2/util/group/autocomplete')
response = self.app.get(
url=url,
params={
'q': u'dave',
},
status=200,
)
results = json.loads(response.body)
assert_equal(len(results), 1)
assert_equal(results[0]['name'], 'david')
assert_equal(results[0]['title'], 'Dave\'s books')
assert_equal(response.header('Content-Type'), 'application/json;charset=utf-8')
def test_status(self):
response = self.app.get(
url=url_for(controller='api', action='status', ver=2),
params={},
status=200,
)
res = json.loads(response.body)
assert_equal(res['ckan_version'], __version__)
assert_equal(res['site_url'], 'http://test.ckan.net')
assert_equal(res['site_title'], 'CKAN')
assert_equal(res['site_description'], '')
assert_equal(res['locale_default'], 'en')
assert_equal(type(res['extensions']), list)
expected_extensions = set(('stats',))
assert_equal(set(res['extensions']), expected_extensions)
def addHighlightedText(self, highlighting_dict, results):
'''
This function adds the highlighted text returned by the solr search
to package extras.
'''
if(results):
for result in results:
id = result['index_id']
package_dict = json.loads(result['data_dict'])
if id in highlighting_dict.keys():
#if len(highlighting_dict[id]) > 0:
package_dict['extras'].append({'value': highlighting_dict[id], 'key' : 'highlighting'})
result['data_dict'] = json.dumps(package_dict)
return results
def load_licenses(self, license_url):
try:
response = urllib2.urlopen(license_url)
response_body = response.read()
except Exception as inst:
msg = "Couldn't connect to licenses service %r: %s" % (license_url, inst)
raise Exception(msg)
try:
license_data = json.loads(response_body)
except Exception as inst:
msg = "Couldn't read response from licenses service %r: %s" % (response_body, inst)
raise Exception(inst)
for license in license_data:
if isinstance(license, string_types):
license = license_data[license]
if license.get('title'):
license['title'] = _(license['title'])
self._create_license_list(license_data, license_url)
def filtered_download(self, resource_view_id):
params = json.loads(request.params['params'])
resource_view = get_action(u'resource_view_show')(
None, {u'id': resource_view_id})
search_text = text_type(params['search']['value'])
view_filters = resource_view.get(u'filters', {})
user_filters = text_type(params['filters'])
filters = merge_filters(view_filters, user_filters)
datastore_search = get_action(u'datastore_search')
unfiltered_response = datastore_search(None, {
u"resource_id": resource_view[u'resource_id'],
u"limit": 0,
u"filters": view_filters,
})
cols = [f['id'] for f in unfiltered_response['fields']]
if u'show_fields' in resource_view:
cols = [c for c in cols if c in resource_view['show_fields']]
sort_list = []
for order in params['order']:
sort_by_num = int(order['column'])
sort_order = (
u'desc' if order['dir'] == u'desc'
else u'asc')
sort_list.append(cols[sort_by_num] + u' ' + sort_order)
cols = [c for (c, v) in zip(cols, params['visible']) if v]
h.redirect_to(
h.url_for(
controller=u'ckanext.datastore.controller:DatastoreController',
action=u'dump',
resource_id=resource_view[u'resource_id'])
+ u'?' + urlencode({
u'q': search_text,
u'sort': u','.join(sort_list),
u'filters': json.dumps(filters),
u'format': request.params['format'],
u'fields': u','.join(cols),
}))
def validate_config(self, source_config):
if not source_config:
return source_config
log = logging.getLogger(__name__ + '.geonode.config')
try:
source_config_obj = json.loads(source_config)
# GeoNode does not expose the internal GeoServer URL, so we have to config it on its own
if not CONFIG_GEOSERVERURL in source_config_obj:
raise ValueError('geoserver_url is mandatory')
if not isinstance(source_config_obj[CONFIG_GEOSERVERURL], basestring):
raise ValueError('geoserver_url should be a string')
if 'import_wfs_as_csv' in source_config_obj:
if not source_config_obj['import_wfs_as_csv'] in ['true', 'false']:
raise ValueError('import_wfs_as_csv should be either true or false')
if 'import_wfs_as_wfs' in source_config_obj:
if not isinstance(source_config_obj['import_wfs_as_wfs'], bool):
raise ValueError('import_wfs_as_wfs should be either true or false')
if CONFIG_IMPORT_FIELDS in source_config_obj:
if not isinstance(source_config_obj[CONFIG_IMPORT_FIELDS], list):
raise ValueError('%s should be a list', CONFIG_IMPORT_FIELDS)
self.checkMapping(CONFIG_KEYWORD_MAPPING, source_config_obj, list)
self.checkMapping(CONFIG_GROUP_MAPPING, source_config_obj, basestring)
if CONFIG_GROUP_MAPPING in source_config_obj and CONFIG_GROUP_MAPPING_FIELDNAME not in source_config_obj:
raise ValueError('%s needs also %s to be defined', CONFIG_GROUP_MAPPING, CONFIG_GROUP_MAPPING_FIELDNAME)
except ValueError as e:
log.warning("Config parsing error: %r", e)
raise e
return source_config
def load_json(obj, **kw):
return json.loads(obj, **kw)
def resource_upload_datastore(context,data_dict):
print data_dict
id_risorsa= data_dict['id']
#print id_risorsa
url = id_risorsa
import unicodedata
import csv
url= unicodedata.normalize('NFKD', url).encode('ascii', 'ignore') # str url del csv
path1 = url[:3]
path2 = url[3:6]
filename = url[6:]
#storage_path = '/opt/ckan/default/storage/resources'
storage_path = '/var/lib/ckan/default/resources' # ckandemo
input_file = os.path.join(storage_path, path1, path2, filename)
#print input_file + "\n\n"
csvfile = open(input_file, 'rU')
reader = csv.DictReader(csvfile)
# Created a list and adds the rows of the csv to the list
json_list = []
i= 0
for row in reader:
for elem in row:
row[elem] = str(row[elem])
#print str(row[elem])
json_list.append(row)
print row
i = i+1
if i==2: break
upload_host = 'datacatalog.regione.emilia-romagna.it/catalogCTA'
upload_api = '05320953-abbc-4217-a0c3-4175f627828d'
#host = '10.5.16.82:5000' #ckandemo
#idUtente = '6d0fccec-859a-4b99-995c-a026b0d5e1f3'
requesta = urllib2.Request('https://' + upload_host + '/api/action/datastore_create')
requesta.add_header('Authorization', upload_api)
id_risorsa2 = data_dict['id2']
print id_risorsa
print id_risorsa2
store_dict = {
'force': True,
'resource_id': id_risorsa2,
'records': json_list
}
data_string = urllib2.quote(json.dumps(store_dict))
print data_string
# Make the HTTP request.
response = urllib2.urlopen(requesta, data_string.encode('utf8')).read()
response_dict = json.loads(response.decode('utf-8'))
# Controlla if TRUE
assert response_dict['success'] is True
print response_dict['success']
"""
#json_list = json.dumps(json.loads(json_list))
#json_list.replace("'",'"')
#json_list = json.loads(json_list)
print json_list
print type(json_list)
store_dict = {"force": True,
"resource_id": id_risorsa,
"records": json_list}
print 'before datastore create\n'
try:
query = get_action('datastore_create')(context, store_dict) # DATASTORE CREATE
except:
print '\nERRORE in datastore create! =('
"""
print "end package.py/datastore\n\n"
def _getjson(self):
return json.loads(self.body)
def _get_request_data(try_url_params=False):
u'''Returns a dictionary, extracted from a request.
If there is no data, None or "" is returned.
ValueError will be raised if the data is not a JSON-formatted dict.
The data is retrieved as a JSON-encoded dictionary from the request
body. Or, if the `try_url_params` argument is True and the request is
a GET request, then an attempt is made to read the data from the url
parameters of the request.
try_url_params
If try_url_params is False, then the data_dict is read from the
request body.
If try_url_params is True and the request is a GET request then the
data is read from the url parameters. The resulting dict will only
be 1 level deep, with the url-param fields being the keys. If a
single key has more than one value specified, then the value will
be a list of strings, otherwise just a string.
'''
def mixed(multi_dict):
u'''Return a dict with values being lists if they have more than one
item or a string otherwise
'''
out = {}
for key, value in multi_dict.to_dict(flat=False).iteritems():
out[key] = value[0] if len(value) == 1 else value
return out
if not try_url_params and request.method == u'GET':
raise ValueError(u'Invalid request. Please use POST method '
'for your request')
request_data = {}
if request.method in [u'POST', u'PUT'] and request.form:
if (len(request.form.values()) == 1 and
request.form.values()[0] in [u'1', u'']):
try:
request_data = json.loads(request.form.keys()[0])
except ValueError as e:
raise ValueError(
u'Error decoding JSON data. '
'Error: %r '
'JSON data extracted from the request: %r' %
(e, request_data))
else:
request_data = mixed(request.form)
elif request.args and try_url_params:
request_data = mixed(request.args)
elif (request.data and request.data != u'' and
request.content_type != u'multipart/form-data'):
try:
request_data = request.get_json()
except BadRequest as e:
raise ValueError(u'Error decoding JSON data. '
'Error: %r '
'JSON data extracted from the request: %r' %
(e, request_data))
if not isinstance(request_data, dict):
raise ValueError(u'Request data JSON decoded to %r but '
'it needs to be a dictionary.' % request_data)
if request.method == u'PUT' and not request_data:
raise ValueError(u'Invalid request. Please use the POST method for '
'your request')
for field_name, file_ in request.files.iteritems():
request_data[field_name] = file_
log.debug(u'Request data extracted: %r', request_data)
return request_data
def loads(self, chars):
try:
return json.loads(chars)
except ValueError, inst:
raise Exception, "Couldn't loads string '%s': %s" % (chars, inst)
def process_result_value(self, value, engine):
if value is None:
return None
else:
return json.loads(value)
def read_data(self, data=None):
errors=""
data = data or clean_dict(dict_fns.unflatten(tuplize_dict(parse_params(request.POST))))
save_action = request.params.get('save')
print(data)
cat_url=data['cat_url']
if cat_url=="":
errors =errors+"Catalogue Url field should not be empty."+'\n'
if 'http' not in cat_url:
errors =errors+"Invalid Catalogue Url."+'\n'
datasets_list_url=data['datasets_list_url']
if datasets_list_url=="":
errors =errors+"Datasets List Url field should not be empty."+'\n'
dataset_url=data['dataset_url']
#if dataset_url=="":
#errors =errors+"Dataset Url field should not be empty."+'\n'
datasets_list_identifier=data['datasets_list_identifier']
if datasets_list_identifier=="":
errors =errors+"Datasets List Json Key field should not be empty."+'\n'
dataset_id=data['dataset_id']
if dataset_id=="":
errors =errors+" Dataset Id Json Key field should not be empty."+'\n'
apikey=data['apikey']
print(apikey)
metadata_mappings=data['metadata_mappings']
try:
metadata_mappings=json.loads(metadata_mappings)
except:
errors =errors+"Invalid Json!"+'\n'
vars = {'data': data, 'errors': str(errors)}
catalogues_description=str(data['catalogues_description'])
catalogue_country=str(data['catalogue_country'])
catalogue_language=str(data['language'])
catalogue_title=str(data['catalogue_title'])
harvest_frequency=str(data['harvest_frequency'])
name=catalogue_title.replace('.','-').replace(' ','-').replace('_','-').replace('(','-').replace(')','-').replace('[','-').replace(']','-').replace(',','-').replace(':','-')
package_id=cat_url
config='{"read_only": true, "default_tags": [], "remote_groups": "only_local", "remote_orgs": "create", "default_extras": {"harvest_url": "{harvest_source_url}/dataset/{dataset_id}", "new_extra": "Test"}, "default_groups": ["french"], "user": "******", "api_key": "<REMOTE_API_KEY>", "override_extras": true, "api_version": 1}'
config=json.loads(config)
dataset_dict = {
'name': str(name),
'id':str(uuid.uuid3(uuid.NAMESPACE_OID, str(cat_url))),
'frequency':str(harvest_frequency),
'url': str(cat_url),
'title': str(catalogue_title),
'package_id':str(package_id),
'source_type':'genericapi',
'notes':str(catalogues_description),
'catalogue_country':str(catalogue_country),
'language':str(catalogue_language),
'catalogue_date_created':'',
'catalogue_date_updated':'',
'metadata_mappings':json.dumps(metadata_mappings),
"datasets_list_url":str(datasets_list_url),
"dataset_url":str(dataset_url),
"datasets_list_identifier":str(datasets_list_identifier),
"dataset_id":str(dataset_id),
"apikey":str(apikey)
}
print(dataset_dict)
#AddResourceToCkan.AddResourceToCkan(dataset_dict)
context = {'model': model, 'session': Session, 'user': u'admin','message': '','save': True}
try:
harvest_source_create(context,dataset_dict)
except toolkit.ValidationError as ex:
print(ex)
vars = {'data': data, 'errors': str(ex)}
#return render('htmlharvest1.html', extra_vars=vars)
return render('generic.html', extra_vars=vars)
dataset_dict.update({'config':str(metadata_mappings)})
return render('read.html', extra_vars=vars)
query['defType'] = 'dismax'
query['tie'] = '0.1'
# this minimum match is explained
# http://wiki.apache.org/solr/DisMaxQParserPlugin#mm_.28Minimum_.27Should.27_Match.29
query['mm'] = '2<-1 5<80%'
query['qf'] = query.get('qf', QUERY_FIELDS)
conn = make_connection()
log.debug('Package query: %r' % query)
try:
solr_response = conn.raw_query(**query)
except SolrException, e:
raise SearchError('SOLR returned an error running query: %r Error: %r' %
(query, e.reason))
try:
data = json.loads(solr_response)
response = data['response']
self.count = response.get('numFound', 0)
self.results = response.get('docs', [])
# #1683 Filter out the last row that is sometimes out of order
self.results = self.results[:rows_to_return]
# get any extras and add to 'extras' dict
for result in self.results:
extra_keys = filter(lambda x: x.startswith('extras_'), result.keys())
extras = {}
for extra_key in extra_keys:
value = result.pop(extra_key)
extras[extra_key[len('extras_'):]] = value
if extra_keys:
def geojson_to_wkt(value): return wkt.dumps(json.loads(value))
def geojson_to_wkt(value): return wkt.dumps(json.loads(value))
def get_recommended_datasets(pkg_id):
package = toolkit.get_action('package_show')(None, {'id': pkg_id.strip()})
response_data = {}
RtpaApi = cf.get(
'ckan.extensions.rtpa_tet_dataset_automatic_recommendations.rtpa_api',
False)
if "linked_datasets" in package and package["linked_datasets"] != "":
l = []
pkgs = package["linked_datasets"].split(",")
for pkg in pkgs:
#log.debug("PKG_ID:"+pkg_id)
#log.debug("type of:"+str(type(pkg_id)))
p = toolkit.get_action('package_show')(None, {'id': pkg})
item = {}
item["name"] = pkg
item["title"] = p["title"]
item["notes"] = p["notes"]
l.append(item)
response_data["datasets"] = l
if RtpaApi:
relateddatasets = []
url = RtpaApi + package["id"] + "/3"
try:
data = json.loads(urllib2.urlopen(url).read())
except Exception as e:
print(e)
i = 0
for element in data['result']:
item = {}
item["name"] = element['id']
item["title"] = element['title']
item["notes"] = element['notes']
relateddatasets.append(item)
i += 1
if (i == 10):
break
response_data["datasets"] = relateddatasets
else:
q = ''
category_string = ''
taget_audience_string = ''
if "category" in package and not package["category"] == "":
category_string = "category:\"" + package["category"] + "\"~25"
if "target_audience" in package and not package[
"target_audience"] == "":
taget_audience_string = "target_audience:\"" + package[
"target_audience"] + "\"~25"
if (category_string and taget_audience_string):
q = category_string + " OR " + taget_audience_string
elif (category_string):
q = category_string
elif (taget_audience_string):
q = taget_audience_string
data_dict = {
'qf':
'target_audience^4 category^4 name^4 title^4 tags^2 groups^2 text',
'q': q,
'rows': 5
}
#log.debug(q)
response_data["datasets"] = toolkit.get_action('package_search')(
None, data_dict)["results"]
for ds in response_data["datasets"]:
if ds["name"] == pkg_id:
response_data["datasets"].remove(ds)
return response_data
def validate(self, context, data_dict, schema, action):
"""
Validate and convert for package_create, package_update and
package_show actions.
"""
thing, action_type = action.split('_')
t = data_dict.get('type')
if not t or t not in self._schemas:
return data_dict, {
'type': ["Unsupported dataset type: {t}".format(t=t)]
}
scheming_schema = self._expanded_schemas[t]
before = scheming_schema.get('before_validators')
after = scheming_schema.get('after_validators')
if action_type == 'show':
get_validators = _field_output_validators
before = after = None
elif action_type == 'create':
get_validators = _field_create_validators
else:
get_validators = _field_validators
if before:
schema['__before'] = validation.validators_from_string(
before, None, scheming_schema)
if after:
schema['__after'] = validation.validators_from_string(
after, None, scheming_schema)
fg = ((scheming_schema['dataset_fields'], schema, True),
(scheming_schema['resource_fields'], schema['resources'], False))
composite_convert_fields = []
for field_list, destination, convert_extras in fg:
for f in field_list:
convert_this = convert_extras and f['field_name'] not in schema
destination[f['field_name']] = get_validators(
f, scheming_schema, convert_this)
if convert_this and 'repeating_subfields' in f:
composite_convert_fields.append(f['field_name'])
def composite_convert_to(key, data, errors, context):
unflat = unflatten(data)
for f in composite_convert_fields:
if f not in unflat:
continue
data[(f, )] = json.dumps(unflat[f],
default=lambda x: None
if x == missing else x)
convert_to_extras((f, ), data, errors, context)
del data[(f, )]
if action_type == 'show':
if composite_convert_fields:
for ex in data_dict['extras']:
if ex['key'] in composite_convert_fields:
data_dict[ex['key']] = json.loads(ex['value'])
data_dict['extras'] = [
ex for ex in data_dict['extras']
if ex['key'] not in composite_convert_fields
]
else:
dataset_composite = {
f['field_name']
for f in scheming_schema['dataset_fields']
if 'repeating_subfields' in f
}
if dataset_composite:
expand_form_composite(data_dict, dataset_composite)
resource_composite = {
f['field_name']
for f in scheming_schema['resource_fields']
if 'repeating_subfields' in f
}
if resource_composite and 'resources' in data_dict:
for res in data_dict['resources']:
expand_form_composite(res, resource_composite)
# convert composite package fields to extras so they are stored
if composite_convert_fields:
schema = dict(schema,
__after=schema.get('__after', []) +
[composite_convert_to])
return navl_validate(data_dict, schema, context)
def search(self):
from ckan.lib.search import SearchError, SearchQueryError
package_type = self._guess_package_type()
try:
context = {
'model': model,
'user': c.user,
'auth_user_obj': c.userobj
}
check_access('site_read', context)
except NotAuthorized:
abort(403, _('Not authorized to see this page'))
# unicode format (decoded from utf8)
q = c.q = request.params.get('q', u'')
org = request.params.get('organization', None)
c.query_error = False
page = h.get_page_number(request.params)
try:
limit = int(config.get('ckan.datasets_per_page', 20))
except:
limit = 20
# most search operations should reset the page counter:
params_nopage = [(k, v) for k, v in request.params.items()
if k != 'page']
def drill_down_url(alternative_url=None, **by):
return h.add_url_param(alternative_url=alternative_url,
controller='package',
action='search',
new_params=by)
c.drill_down_url = drill_down_url
def remove_field(key, value=None, replace=None):
return h.remove_url_param(key,
value=value,
replace=replace,
controller='package',
action='search',
alternative_url=package_type)
c.remove_field = remove_field
sort_by = request.params.get('sort', None)
params_nosort = [(k, v) for k, v in params_nopage if k != 'sort']
def _sort_by(fields):
"""
Sort by the given list of fields.
Each entry in the list is a 2-tuple: (fieldname, sort_order)
eg - [('metadata_modified', 'desc'), ('name', 'asc')]
If fields is empty, then the default ordering is used.
"""
params = params_nosort[:]
if fields:
sort_string = ', '.join('%s %s' % f for f in fields)
params.append(('sort', sort_string))
return search_url(params, package_type)
c.sort_by = _sort_by
if not sort_by:
c.sort_by_fields = []
else:
c.sort_by_fields = [
field.split()[0] for field in sort_by.split(',')
]
def pager_url(q=None, page=None):
params = list(params_nopage)
params.append(('page', page))
return search_url(params, package_type)
c.search_url_params = urlencode(_encode_params(params_nopage))
try:
c.fields = []
# c.fields_grouped will contain a dict of params containing
# a list of values eg {'tags':['tag1', 'tag2']}
c.fields_grouped = {}
search_extras = {}
fq = ''
for (param, value) in request.params.items():
if param not in ['q', 'page', 'sort'] \
and len(value) and not param.startswith('_'):
if not param.startswith('ext_'):
c.fields.append((param, value))
fq += ' %s:"%s"' % (param, value)
if param not in c.fields_grouped:
c.fields_grouped[param] = [value]
else:
c.fields_grouped[param].append(value)
else:
search_extras[param] = value
context = {
'model': model,
'session': model.Session,
'user': c.user,
'for_view': True,
'auth_user_obj': c.userobj
}
# Unless changed via config options, don't show other dataset
# types any search page. Potential alternatives are do show them
# on the default search page (dataset) or on one other search page
search_all_type = config.get('ckan.search.show_all_types',
'dataset')
search_all = False
map_results = None
try:
# If the "type" is set to True or False, convert to bool
# and we know that no type was specified, so use traditional
# behaviour of applying this only to dataset type
search_all = asbool(search_all_type)
search_all_type = 'dataset'
# Otherwise we treat as a string representing a type
except ValueError:
search_all = True
if not package_type:
package_type = 'dataset'
if not search_all or package_type != search_all_type:
# Only show datasets of this particular type
fq += ' +dataset_type:{type}'.format(type=package_type)
facets = OrderedDict()
default_facet_titles = {
'organization': _('Organizations'),
'groups': _('Groups'),
'tags': _('Tags'),
'res_format': _('Formats'),
'license_id': _('Licenses'),
}
for facet in h.facets():
if facet in default_facet_titles:
facets[facet] = default_facet_titles[facet]
else:
facets[facet] = facet
# Facet titles
for plugin in p.PluginImplementations(p.IFacets):
facets = plugin.dataset_facets(facets, package_type)
c.facet_titles = facets
data_dict = {
'q':
q,
'fq':
fq.strip(),
'facet.field':
facets.keys(),
'rows':
limit,
'start': (page - 1) * limit,
'sort':
sort_by,
'extras':
search_extras,
'include_private':
asbool(config.get('ckan.search.default_include_private',
True)),
}
query = get_action('package_search')(context, data_dict)
# loop the search query and get all the results
# this workaround the 1000 rows solr hard limit
HARD_LIMIT = 1000
conn = get_connection_redis()
pager = 0
# crank up the pager limit high as using points cluster for better performance
PAGER_LIMIT = 10000
data_dict_full_result = {
'q':
q,
'fq':
fq.strip(),
'facet.field':
facets.keys(),
'rows':
HARD_LIMIT,
'start':
0,
'sort':
sort_by,
'extras':
search_extras,
'include_private':
asbool(config.get('ckan.search.default_include_private',
True)),
}
if not org:
# if no q, it is an init load or direct visit on / dataset
log.info('### Not org ###')
if not q:
log.info('### Not q ###')
if not conn.exists('redis_full_results'):
log.info('### generating full results ###')
# get full results and add to redis when there is not full results in redis
full_results = self.get_full_results(
context, data_dict_full_result, pager, PAGER_LIMIT,
q, fq, facets, HARD_LIMIT, sort_by, search_extras)
map_results = self.get_map_result(full_results)
# adding to redis
log.info('adding full results to redis')
conn.set('redis_full_results', json.dumps(map_results))
# log.info(c.full_results)
else:
log.info('### using cached full results ###')
map_results = json.loads(
conn.get('redis_full_results'))
# log.info(c.full_results)
else:
log.info('### With q ###')
full_results = self.get_full_results(
context, data_dict_full_result, pager, PAGER_LIMIT, q,
fq, facets, HARD_LIMIT, sort_by, search_extras)
map_results = self.get_map_result(full_results)
else:
log.info('### With org ###')
if not q:
log.info('### Not q ###')
if not conn.exists('redis_full_results_%s' % org):
log.info('### generating %s results ###' % org)
# get full results and add to redis when there is not full results in redis
full_results = self.get_full_results(
context, data_dict_full_result, pager, PAGER_LIMIT,
q, fq, facets, HARD_LIMIT, sort_by, search_extras)
map_results = self.get_map_result(full_results)
# adding to redis
log.info('adding %s results to redis' % org)
conn.set('redis_full_results_%s' % org,
json.dumps(map_results))
# log.info(c.full_results)
else:
log.info('### using cached %s results ###' % org)
map_results = json.loads(
conn.get('redis_full_results_%s' % org))
# log.info(c.full_results)
else:
log.info('### With q ###')
full_results = self.get_full_results(
context, data_dict_full_result, pager, PAGER_LIMIT, q,
fq, facets, HARD_LIMIT, sort_by, search_extras)
map_results = self.get_map_result(full_results)
# log.info(c.full_results)
c.sort_by_selected = query['sort']
c.page = h.Page(collection=query['results'],
page=page,
url=pager_url,
item_count=query['count'],
items_per_page=limit)
c.search_facets = query['search_facets']
c.page.items = query['results']
except SearchQueryError as se:
# User's search parameters are invalid, in such a way that is not
# achievable with the web interface, so return a proper error to
# discourage spiders which are the main cause of this.
log.info('Dataset search query rejected: %r', se.args)
abort(
400,
_('Invalid search query: {error_message}').format(
error_message=str(se)))
except SearchError as se:
# May be bad input from the user, but may also be more serious like
# bad code causing a SOLR syntax error, or a problem connecting to
# SOLR
log.error('Dataset search error: %r', se.args)
c.query_error = True
c.search_facets = {}
c.page = h.Page(collection=[])
except NotAuthorized:
abort(403, _('Not authorized to see this page'))
c.search_facets_limits = {}
for facet in c.search_facets.keys():
try:
limit = int(
request.params.get(
'_%s_limit' % facet,
int(config.get('search.facets.default', 10))))
except ValueError:
abort(
400,
_('Parameter "{parameter_name}" is not '
'an integer').format(parameter_name='_%s_limit' % facet))
c.search_facets_limits[facet] = limit
self._setup_template_variables(context, {}, package_type=package_type)
return render(self._search_template(package_type),
extra_vars={
'dataset_type': package_type,
'map_results': map_results
})
def loads(self, chars):
try:
return json.loads(chars)
except ValueError as inst:
raise Exception("Couldn't loads string '%s': %s" % (chars, inst))
def fetch_stage(self, harvest_object):
# Check harvest object status
status = self._get_object_extra(harvest_object, 'status')
if status == 'delete':
# No need to fetch anything, just pass to the import stage
return True
log = logging.getLogger(__name__ + '.GeoNode.fetch')
log.debug('GeoNodeHarvester fetch_stage for object: %s', harvest_object.id)
url = harvest_object.source.url
client = GeoNodeClient(url)
guid = harvest_object.guid
content = harvest_object.content
obj = json.loads(content)
gnid = obj['id']
if 'type' not in obj:
log.error("Bad content in harvest object ID: %d GUID: %s [%s]" % (gnid, guid, content))
if GEONODE_TYPE in obj:
# it means it already contains data read in this fetch stage. We were expecting info from the gather stage instead
log.warning("Harvest object is in the wrong state ID: %d GUID: %s" % (gnid, guid))
self._save_object_error("Bad content in harvest object ID: %d GUID: %s [%s]" % (gnid, guid, content), harvest_object)
return False
objtype = obj['type']
try:
if objtype == GEONODE_LAYER_TYPE:
georesource_json = client.get_layer_json(gnid)
objdict = json.loads(georesource_json)
elif objtype == GEONODE_MAP_TYPE:
georesource_json = client.get_map_json(gnid)
objdict = json.loads(georesource_json)
# set into the map object the geoexp configuration blob
map_blob_json = client.get_map_data(gnid)
# enriching the json with some more info
objdict['MAP_DATA'] = map_blob_json
elif objtype == GEONODE_DOC_TYPE:
georesource_json = client.get_doc_json(gnid)
objdict = json.loads(georesource_json)
else:
log.error("Unknown GeoNode resource type %s for ID: %d GUID: %s " % (objtype, gnid, guid))
self._save_object_error("Unknown GeoNode resource type %s for ID: %d GUID: %s " % (objtype, gnid, guid), harvest_object)
return False
objdict[GEONODE_TYPE] = objtype
final_json = json.dumps(objdict)
except Exception as e:
log.error('Error getting GeoNode %s ID %d GUID %s [%r]' % (objtype, gnid, guid, e), e)
self._save_object_error('Error getting GeoNode %s ID %d GUID %s [%r]' % (objtype, gnid, guid, e), harvest_object)
return False
if final_json is None:
self._save_object_error('Empty record for GUID %s type %s' % (guid, objtype), harvest_object)
return False
try:
harvest_object.content = final_json.strip()
harvest_object.save()
except Exception as e:
self._save_object_error('Error saving the harvest object for GUID %s type %s [%r]' %
(guid, objtype, e), harvest_object)
return False
log.debug('JSON content saved for %s (size %s)' % (objtype, len(final_json)))
return True
def __init__(self, json_string):
self._dict = json.loads(json_string)
def column_summary(self, url, field_id):
try:
data = json.loads(urllib2.urlopen(url).read())
temp_data = json_normalize(data["result"]["records"])
fields = data["result"]["fields"] # type_unified TODO
record_count = 0
results = {
"help": "http://google.com",
"success": True,
"result": {
"records": [],
"fields": [{
"id": "Name",
"type": "text"
}, {
"id": "Range",
"type": "text"
}, {
"id": "Frequency",
"type": "numeric"
}],
"total":
0,
"limit":
99999,
}
}
for f in fields:
if f["id"] == field_id:
break
if f["type"] == "numeric":
c = f["id"]
temp_data[c] = pd.to_numeric(temp_data[c], errors='coerce')
#print(temp_data)
dist = np.histogram(temp_data[c], 11)
for i in range(0, 11):
record = {
"Name":
c,
"Range":
str(round(dist[1][i])) + " to " +
str(round(dist[1][i + 1])),
"Frequency":
int(dist[0][i])
}
results["result"]["records"].append(record)
record_count += 1
if f["type"] == "text":
c = f["id"]
counts = Counter(temp_data[c])
for item in counts.most_common(10):
value = item[0]
if len(value) > 35:
value = value[:35] + "..."
record = {"Name": c, "Value": value, "Count": item[1]}
results["result"]["records"].append(record)
record_count += 1
results["result"]["fields"] = [{
"id": "Name",
"type": "text"
}, {
"id": "Value",
"type": "text"
}, {
"id": "count",
"type": "numeric"
}]
results["result"]["total"] = record_count
results["Access-Control-Allow-Origin"] = "*"
json_response = json.dumps(results)
#json_response["Access-Control-Allow-Origin"] = "*"
#print("Response")
#print(json_response)
return json_response
except Exception as e:
print("ERROR\n\n\n")
print(e)
return json.dumps({'success': False})
def convert_string_to_dict(string):
# return ast.literal_eval(string)
return json.loads(string) if string else {}
def check_solr_result(context, source_list, limit):
'''
Encapsulate the check if a dataset returned by solr really exists in
CKAN database
:param context:
:param source_list:
:param limit:
:return:
'''
results = []
data_source = 'validated_data_dict'
count = 0
locale = tk.request.environ['CKAN_LANG'] or config.get(
'ckan.locale_default', 'en')
if context.get('for_view', False):
for package in source_list:
try:
package['resources'] = [
json.loads(res)
for res in package.get('resource_list', []) if res
]
except Exception as e:
log.error(e.message, e)
if locale != 'en' and package.get('title_{0}'.format(locale),
''):
package['title'] = package.get('title_{0}'.format(locale))
if locale != 'en' and package.get('text_{0}'.format(locale),
''):
package['notes'] = package.get('text_{0}'.format(locale))
# if context.get('for_view'):
# for item in plugins.PluginImplementations(plugins.IPackageController):
# package = item.before_view(package)
# for resource in package.get('resources', []):
# input_list = int(resource.get('download_total_resource','') or '0')
input_list = [
int(resource.get('download_total_resource', '') or '0')
for resource in package.get('resources', [])
]
if not input_list:
input_list = [0]
download_count = reduce(lambda x, y: x + y, input_list)
package['download_total'] = download_count
results.append(package)
count += 1
if count == limit:
break
else:
for package in source_list:
try:
package = logic.get_action('package_show')(
context, {
'id': package['name']
})
except Exception as e:
log.error(e.message, e)
results.append(package)
count += 1
if count == limit:
break
return results
def _getjson(self):
return json.loads(self.body)
def before_index(self, data_dict):
value = data_dict.get('keywords', [])
if value:
data_dict['keywords_facet'] = json.loads(value)
return data_dict
def _get_request_data(try_url_params=False):
u'''Returns a dictionary, extracted from a request.
If there is no data, None or "" is returned.
ValueError will be raised if the data is not a JSON-formatted dict.
The data is retrieved as a JSON-encoded dictionary from the request
body. Or, if the `try_url_params` argument is True and the request is
a GET request, then an attempt is made to read the data from the url
parameters of the request.
try_url_params
If try_url_params is False, then the data_dict is read from the
request body.
If try_url_params is True and the request is a GET request then the
data is read from the url parameters. The resulting dict will only
be 1 level deep, with the url-param fields being the keys. If a
single key has more than one value specified, then the value will
be a list of strings, otherwise just a string.
'''
def mixed(multi_dict):
u'''Return a dict with values being lists if they have more than one
item or a string otherwise
'''
out = {}
for key, value in multi_dict.to_dict(flat=False).items():
out[key] = value[0] if len(value) == 1 else value
return out
if not try_url_params and request.method == u'GET':
raise ValueError(u'Invalid request. Please use POST method '
'for your request')
request_data = {}
if request.method in [u'POST', u'PUT'] and request.form:
values = list(request.form.values())
if (len(values) == 1 and
values[0] in [u'1', u'']):
try:
keys = list(request.form.keys())
request_data = json.loads(keys[0])
except ValueError as e:
raise ValueError(
u'Error decoding JSON data. '
'Error: %r '
'JSON data extracted from the request: %r' %
(e, request_data))
else:
request_data = mixed(request.form)
elif request.args and try_url_params:
request_data = mixed(request.args)
elif (request.data and request.data != u'' and
request.content_type != u'multipart/form-data'):
try:
request_data = request.get_json()
except BadRequest as e:
raise ValueError(u'Error decoding JSON data. '
'Error: %r '
'JSON data extracted from the request: %r' %
(e, request_data))
if not isinstance(request_data, dict):
raise ValueError(u'Request data JSON decoded to %r but '
'it needs to be a dictionary.' % request_data)
if request.method == u'PUT' and not request_data:
raise ValueError(u'Invalid request. Please use the POST method for '
'your request')
for field_name, file_ in request.files.items():
request_data[field_name] = file_
log.debug(u'Request data extracted: %r', request_data)
return request_data
def sub_app_get_deserialized(offset):
res = sub_app_get(offset)
if res == None:
return None
else:
return json.loads(res)
def process_result_value(self, value, engine):
if value is None:
return None
else:
return json.loads(value)
def sub_app_get_deserialized(offset):
res = sub_app_get(offset)
if res == None:
return None
else:
return json.loads(res)
def resource_view(self, id, resource_id, view_id=None):
# custom_base.g_analitics()
'''
Embedded page for a resource view.
Depending on the type, different views are loaded. This could be an
img tag where the image is loaded directly or an iframe that embeds a
webpage or a recline preview.
'''
context = {'model': model,
'session': model.Session,
'user': c.user or c.author,
'auth_user_obj': c.userobj}
try:
package = get_action('package_show')(context, {'id': id})
except NotFound:
abort(404, _('Dataset not found'))
except NotAuthorized:
abort(401, _('Unauthorized to read dataset %s') % id)
try:
resource = get_action('resource_show')(
context, {'id': resource_id})
# removes the host to make it relative
if config.get('ckan.upload_file_url'):
url = resource['url']
if config.get('ckan.upload_file_url') in url:
url = url.split(config.get('ckan.upload_file_url'))
resource['url'] = url[1]
except NotFound:
abort(404, _('Resource not found'))
except NotAuthorized:
abort(401, _('Unauthorized to read resource %s') % resource_id)
view = None
if request.params.get('resource_view', ''):
try:
view = json.loads(request.params.get('resource_view', ''))
except ValueError:
abort(409, _('Bad resource view data'))
elif view_id:
try:
view = get_action('resource_view_show')(
context, {'id': view_id})
except NotFound:
abort(404, _('Resource view not found'))
except NotAuthorized:
abort(401,
_('Unauthorized to read resource view %s') % view_id)
if not view or not isinstance(view, dict):
abort(404, _('Resource view not supplied'))
analytics_helpers.update_analytics_code_by_organization(package['organization']['id'])
return h.rendered_resource_view(view, resource, package, embed=True)
# this minimum match is explained
# http://wiki.apache.org/solr/DisMaxQParserPlugin#mm_.28Minimum_.27Should.27_Match.29
query['mm'] = query.get('mm', '2<-1 5<80%')
query['qf'] = query.get('qf', QUERY_FIELDS)
conn = make_connection()
log.debug('Package query: %r' % query)
try:
solr_response = conn.raw_query(**query)
except SolrException, e:
raise SearchError(
'SOLR returned an error running query: %r Error: %r' %
(query, e.reason))
try:
data = json.loads(solr_response)
response = data['response']
self.count = response.get('numFound', 0)
self.results = response.get('docs', [])
# #1683 Filter out the last row that is sometimes out of order
self.results = self.results[:rows_to_return]
# get any extras and add to 'extras' dict
for result in self.results:
extra_keys = filter(lambda x: x.startswith('extras_'),
result.keys())
extras = {}
for extra_key in extra_keys:
value = result.pop(extra_key)
extras[extra_key[len('extras_'):]] = value