def test_get_with_tasks(random_service, mf_api_client):
if mf_api_client.format != "json":
pytest.xfail("tasks are misrendered using the spark convention"
) # TODO: Fix that
issue = Issue.objects.create(
service=random_service,
description=get_random_string(),
address='Test Street 10',
)
for x, time in enumerate((
now() - timedelta(days=5),
now() - timedelta(days=2),
), 1):
id = 'foo%04d' % x
issue.tasks.create(
task_state=id,
task_type=id,
owner_name=id,
task_created=time,
)
content = get_data_from_response(mf_api_client.get(ISSUE_LIST_ENDPOINT, {
'extensions': 'hel',
}),
schema=LIST_OF_ISSUES_SCHEMA)
tasks = content[0]['extended_attributes']['tasks']
assert tasks
def test_get_by_service_object(testing_issues, mf_api_client):
issue = testing_issues.first()
service_object_id = '10844'
service_object_type = 'http://www.hel.fi/servicemap/v2'
Issue_CitySDK.objects.create(
issue=issue,
service_object_id=service_object_id,
service_object_type=service_object_type,
)
content = get_data_from_response(
mf_api_client.get(
ISSUE_LIST_ENDPOINT,
{
'extensions': 'citysdk',
'service_object_id': service_object_id,
'service_object_type': service_object_type,
}
),
schema=LIST_OF_ISSUES_SCHEMA
)
for issue in content:
assert issue['extended_attributes']['service_object_id'] == service_object_id
assert issue['extended_attributes']['service_object_type'] == service_object_type
def test_get_by_service_object_id_without_type(testing_issues, mf_api_client):
get_data_from_response(mf_api_client.get(
ISSUE_LIST_ENDPOINT, {
'extensions': 'citysdk',
'service_object_id': '10844',
}),
status_code=400)
def test_handler_query(random_service, mf_api_client):
handlerless_issue = Issue.objects.create(
service=random_service,
description=get_random_string(12),
address='Test Street 10',
)
for x in range(3):
handlerful_issue = Issue.objects.create(
service=random_service,
description=get_random_string(12),
address='Test Street 10',
)
handlerful_issue.log_entries.create(
status='allocated',
handler='*****@*****.**',
)
content = get_data_from_response(
mf_api_client.get(
ISSUE_LIST_ENDPOINT,
{
'extensions': 'log',
'handler': '*****@*****.**',
}
),
schema=LIST_OF_ISSUES_SCHEMA
)
assert len(content) == 3
assert all(i['extended_attributes']['handler'] == '*****@*****.**' for i in content)
def test_get_with_tasks(random_service, mf_api_client):
if mf_api_client.format != "json":
pytest.xfail("tasks are misrendered using the spark convention") # TODO: Fix that
issue = Issue.objects.create(
service=random_service,
description=get_random_string(),
address='Test Street 10',
)
for x, time in enumerate((
now() - timedelta(days=5),
now() - timedelta(days=2),
), 1):
id = 'foo%04d' % x
issue.tasks.create(
task_state=id,
task_type=id,
owner_name=id,
task_created=time,
)
content = get_data_from_response(
mf_api_client.get(
ISSUE_LIST_ENDPOINT,
{
'extensions': 'hel',
}
),
schema=LIST_OF_ISSUES_SCHEMA
)
tasks = content[0]['extended_attributes']['tasks']
assert tasks
def test_handler_query(random_service, mf_api_client):
handlerless_issue = Issue.objects.create(
service=random_service,
description=get_random_string(),
address='Test Street 10',
)
for x in range(3):
handlerful_issue = Issue.objects.create(
service=random_service,
description=get_random_string(),
address='Test Street 10',
)
handlerful_issue.log_entries.create(
status='allocated',
handler='*****@*****.**',
)
content = get_data_from_response(
mf_api_client.get(
ISSUE_LIST_ENDPOINT,
{
'extensions': 'log',
'handler': '*****@*****.**',
}
),
schema=LIST_OF_ISSUES_SCHEMA
)
assert len(content) == 3
assert all(i['extended_attributes']['handler'] == '*****@*****.**' for i in content)
def test_by_description(testing_issues, mf_api_client):
search = 'some'
content = get_data_from_response(mf_api_client.get(ISSUE_LIST_ENDPOINT, {
'extensions': 'citysdk',
'search': search
}),
schema=LIST_OF_ISSUES_SCHEMA)
assert search.lower() in content[0]['description'].lower()
def test_get_with_log(random_service, mf_api_client):
if mf_api_client.format != "json":
pytest.xfail("logs are misrendered using the spark convention") # TODO: Fix that
# Simulate an issue going through a loggy flow:
creation = now() - timedelta(days=7)
issue = Issue.objects.create(
service=random_service,
description=get_random_string(12),
requested_datetime=creation,
address='Test Street 10',
)
issue.log_entries.create(
time=creation + timedelta(days=2),
status='allocated',
handler='*****@*****.**',
)
assert Issue_LogExtension.objects.get(issue=issue).last_handler == '*****@*****.**'
issue.log_entries.create(
time=creation + timedelta(days=5),
status='handling',
handler='*****@*****.**',
note="i'll deal with this",
)
assert Issue_LogExtension.objects.get(issue=issue).last_handler == '*****@*****.**'
issue.log_entries.create(
time=creation + timedelta(days=6),
status='done',
handler='',
)
issue.updated_datetime = now()
issue.status = 'closed'
issue.save()
content = get_data_from_response(
mf_api_client.get(
ISSUE_LIST_ENDPOINT,
{
'extensions': 'log',
}
),
schema=LIST_OF_ISSUES_SCHEMA
)
assert len(content[0]['extended_attributes']['log']) == 3
assert content[0]['extended_attributes']['handler'] == '*****@*****.**' # last non-null handler
def test_get_with_log(random_service, mf_api_client):
if mf_api_client.format != "json":
pytest.xfail("logs are misrendered using the spark convention") # TODO: Fix that
# Simulate an issue going through a loggy flow:
creation = now() - timedelta(days=7)
issue = Issue.objects.create(
service=random_service,
description=get_random_string(),
requested_datetime=creation,
address='Test Street 10',
)
issue.log_entries.create(
time=creation + timedelta(days=2),
status='allocated',
handler='*****@*****.**',
)
assert Issue_LogExtension.objects.get(issue=issue).last_handler == '*****@*****.**'
issue.log_entries.create(
time=creation + timedelta(days=5),
status='handling',
handler='*****@*****.**',
note="i'll deal with this",
)
assert Issue_LogExtension.objects.get(issue=issue).last_handler == '*****@*****.**'
issue.log_entries.create(
time=creation + timedelta(days=6),
status='done',
handler='',
)
issue.updated_datetime = now()
issue.status = 'closed'
issue.save()
content = get_data_from_response(
mf_api_client.get(
ISSUE_LIST_ENDPOINT,
{
'extensions': 'log',
}
),
schema=LIST_OF_ISSUES_SCHEMA
)
assert len(content[0]['extended_attributes']['log']) == 3
assert content[0]['extended_attributes']['handler'] == '*****@*****.**' # last non-null handler
def test_post_geometry(random_service, mf_api_client, geometry_data):
if sys.version_info[0] == 2 and mf_api_client.format != 'json':
pytest.xfail('unsupported')
from issues_geometry.models import IssueGeometry
post_data = {
'extensions': 'geometry',
'service_code': random_service.service_code,
'description': 'Olut on loppu koko jokirannasta',
'geometry': (
json.dumps(geometry_data)
if geometry_data
else ''
),
}
if not post_data.get('geometry'):
post_data['address'] = 'foo street'
response = mf_api_client.post(ISSUE_LIST_ENDPOINT, data=post_data)
content = get_data_from_response(
response,
status_code=201,
schema=LIST_OF_ISSUES_SCHEMA,
)
issue_data = content[0]
issue = verify_issue(issue_data)
if not geometry_data:
# This exercises the code path where one requests the geometry extension
# but doesn't actually post geometry after all.
return
# No matter the format, we should always have a GeoJSON fragment, whether encoded or indented, in there:
assert re.search(r'\\*"type\\*":\s*\\*"Polygon\\*"', response.content.decode('utf8'))
assert IssueGeometry.objects.filter(issue=issue).exists()
retrieved_issue_data = get_data_from_response(
mf_api_client.get(
reverse('georeport/v2:issue-detail', kwargs={'identifier': issue.identifier}),
{'extensions': 'geometry'},
)
)[0]
for data in (issue_data, retrieved_issue_data):
verify_issue(data)
if mf_api_client.format == 'json':
# We can't access the extended attribute correctly when it has been mangled by the
# test harness, so only test it when doing native JSON.
GeoJSONValidator.validate(data['extended_attributes']['geometry'])
def test_post_geometry(random_service, mf_api_client, geometry_data):
if sys.version_info[0] == 2 and mf_api_client.format != 'json':
pytest.xfail('unsupported')
from issues_geometry.models import IssueGeometry
post_data = {
'extensions': 'geometry',
'service_code': random_service.service_code,
'description': 'Olut on loppu koko jokirannasta',
'geometry': (json.dumps(geometry_data) if geometry_data else ''),
}
if not post_data.get('geometry'):
post_data['address'] = 'foo street'
response = mf_api_client.post(ISSUE_LIST_ENDPOINT, data=post_data)
content = get_data_from_response(
response,
status_code=201,
schema=LIST_OF_ISSUES_SCHEMA,
)
issue_data = content[0]
issue = verify_issue(issue_data)
if not geometry_data:
# This exercises the code path where one requests the geometry extension
# but doesn't actually post geometry after all.
return
# No matter the format, we should always have a GeoJSON fragment, whether encoded or indented, in there:
assert re.search(r'\\*"type\\*":\s*\\*"Polygon\\*"',
response.content.decode('utf8'))
assert IssueGeometry.objects.filter(issue=issue).exists()
retrieved_issue_data = get_data_from_response(
mf_api_client.get(
reverse('georeport/v2:issue-detail',
kwargs={'identifier': issue.identifier}),
{'extensions': 'geometry'},
))[0]
for data in (issue_data, retrieved_issue_data):
verify_issue(data)
if mf_api_client.format == 'json':
# We can't access the extended attribute correctly when it has been mangled by the
# test harness, so only test it when doing native JSON.
GeoJSONValidator.validate(data['extended_attributes']['geometry'])
def test_post_media(mf_api_client, random_service):
if sys.version_info[0] == 2 and mf_api_client.format in ('xml', 'sjson'):
pytest.xfail('this test is somehow broken on Py2')
files = [
ContentFile(content=VERY_SMALL_JPEG, name="x%d.jpg" % x)
for x in range(3)
]
issues = get_data_from_response(
mf_api_client.post(
f'{ISSUE_LIST_ENDPOINT}?extensions=media',
data={
'service_code': random_service.service_code,
'lat': 30,
'long': 30,
'description': get_random_string(12),
'media': files,
}
),
status_code=201,
schema=LIST_OF_ISSUES_SCHEMA,
)
id = issues[0]['service_request_id']
assert Issue.objects.filter(identifier=id).exists()
assert IssueMedia.objects.filter(issue__identifier=id).count() == 3
# Now see that we can actually get the media back
issues = get_data_from_response(
mf_api_client.get(
reverse('georeport/v2:issue-detail', kwargs={"identifier": id}),
{
'extensions': 'media',
}
),
schema=LIST_OF_ISSUES_SCHEMA
)
issue = issues[0]
media_list = issue['extended_attributes']['media_urls']
assert issue
assert len(media_list) == 3
def test_post_media(mf_api_client, random_service):
if sys.version_info[0] == 2 and mf_api_client.format in ('xml', 'sjson'):
pytest.xfail('this test is somehow broken on Py2')
files = [
ContentFile(content=VERY_SMALL_JPEG, name="x%d.jpg" % x)
for x in range(3)
]
issues = get_data_from_response(
mf_api_client.post(
'%s?extensions=media' % ISSUE_LIST_ENDPOINT,
data={
'service_code': random_service.service_code,
'lat': 30,
'long': 30,
'description': get_random_string(),
'media': files,
}
),
status_code=201,
schema=LIST_OF_ISSUES_SCHEMA,
)
id = issues[0]['service_request_id']
assert Issue.objects.filter(identifier=id).exists()
assert IssueMedia.objects.filter(issue__identifier=id).count() == 3
# Now see that we can actually get the media back
issues = get_data_from_response(
mf_api_client.get(
reverse('georeport/v2:issue-detail', kwargs={"identifier": id}),
{
'extensions': 'media',
}
),
schema=LIST_OF_ISSUES_SCHEMA
)
issue = issues[0]
media_list = issue['extended_attributes']['media_urls']
assert issue
assert len(media_list) == 3