def test_simple_mur(self, get_bucket):
mur_subject = 'Fraudulent misrepresentation'
expected_mur = {
'no': '1',
'name': 'Simple MUR',
'mur_type': 'current',
'election_cycles': [2016],
'doc_id': 'mur_1',
'participants': [],
'subjects': [mur_subject],
'respondents': [],
'documents': [],
'commission_votes': [],
'dispositions': [],
'close_date': None,
'open_date': None,
'url': '/legal/matter-under-review/1/',
'sort1': -1,
'sort2': None
}
self.create_mur(1, expected_mur['no'], expected_mur['name'],
mur_subject)
actual_mur = next(get_murs(None))
assert actual_mur == expected_mur
def test_mur_with_participants_and_documents(self, get_bucket,
get_credential):
case_id = 1
mur_subject = 'Fraudulent misrepresentation'
expected_mur = {
'no': '1',
'name': 'MUR with participants',
'mur_type': 'current',
'election_cycles': [2016],
'doc_id': 'mur_1',
'subjects': [mur_subject],
'subject': {
"text": [mur_subject]
},
'respondents': ["Bilbo Baggins", "Thorin Oakenshield"]
}
participants = [("Complainant", "Gollum"),
("Respondent", "Bilbo Baggins"),
("Respondent", "Thorin Oakenshield")]
documents = [
('A Category', 'Some text'),
('Another Category', 'Different text'),
]
self.create_mur(case_id, expected_mur['no'], expected_mur['name'],
mur_subject)
for entity_id, participant in enumerate(participants):
role, name = participant
self.create_participant(case_id, entity_id, role, name)
for document_id, document in enumerate(documents):
category, ocrtext = document
self.create_document(case_id, document_id, category, ocrtext)
actual_mur = next(get_murs(None))
for key in expected_mur:
assert actual_mur[key] == expected_mur[key]
assert participants == [(p['role'], p['name'])
for p in actual_mur['participants']]
assert [(d[0], d[1], len(d[1]))
for d in documents] == [(d['category'], d['text'], d['length'])
for d in actual_mur['documents']]
for d in actual_mur['documents']:
assert re.match(
r'https://BUCKET_NAME.s3-us-gov-west-1.amazonaws.com/legal/murs/current',
d['url'])
def test_mur_with_participants_and_documents(self, get_bucket,
get_credential):
case_id = 1
mur_subject = 'Fraudulent misrepresentation'
expected_mur = {
'no': '1',
'name': 'MUR with participants',
'mur_type': 'current',
'election_cycles': [2016],
'doc_id': 'mur_1',
'subjects': [mur_subject],
'respondents': ["Bilbo Baggins", "Thorin Oakenshield"]
}
participants = [("Complainant", "Gollum"),
("Respondent", "Bilbo Baggins"),
("Respondent", "Thorin Oakenshield")]
filename = "Some File.pdf"
documents = [
('A Category', 'Some text',
'legal/murs/{0}/{1}'.format('1', filename.replace(' ', '-'))),
('Another Category', 'Different text',
'legal/murs/{0}/{1}'.format('1', filename.replace(' ', '-'))),
]
self.create_mur(case_id, expected_mur['no'], expected_mur['name'],
mur_subject)
for entity_id, participant in enumerate(participants):
role, name = participant
self.create_participant(case_id, entity_id, role, name)
for document_id, document in enumerate(documents):
category, ocrtext, url = document
self.create_document(case_id, document_id, category, ocrtext,
filename)
actual_mur = next(get_murs(None))
for key in expected_mur:
assert actual_mur[key] == expected_mur[key]
assert participants == [(p['role'], p['name'])
for p in actual_mur['participants']]
assert [(d[0], d[1], len(d[1]))
for d in documents] == [(d['category'], d['text'], d['length'])
for d in actual_mur['documents']]
def test_mur_with_participants_and_documents(self, get_bucket, get_credential):
case_id = 1
mur_subject = 'Fraudulent misrepresentation'
expected_mur = {
'no': '1',
'name': 'MUR with participants',
'mur_type': 'current',
'election_cycles': [2016],
'doc_id': 'mur_1',
'subjects': [mur_subject],
'respondents': ["Bilbo Baggins", "Thorin Oakenshield"]
}
participants = [
("Complainant", "Gollum"),
("Respondent", "Bilbo Baggins"),
("Respondent", "Thorin Oakenshield")
]
filename = "Some File.pdf"
documents = [
('A Category', 'Some text', 'legal/murs/{0}/{1}'.format('1',
filename.replace(' ', '-'))),
('Another Category', 'Different text','legal/murs/{0}/{1}'.format('1',
filename.replace(' ', '-'))),
]
self.create_mur(case_id, expected_mur['no'], expected_mur['name'], mur_subject)
for entity_id, participant in enumerate(participants):
role, name = participant
self.create_participant(case_id, entity_id, role, name)
for document_id, document in enumerate(documents):
category, ocrtext, url = document
self.create_document(case_id, document_id, category, ocrtext, filename)
actual_mur = next(get_murs(None))
for key in expected_mur:
assert actual_mur[key] == expected_mur[key]
assert participants == [(p['role'], p['name'])
for p in actual_mur['participants']]
assert [(d[0], d[1], len(d[1])) for d in documents] == [
(d['category'], d['text'], d['length']) for d in actual_mur['documents']]
def test_simple_mur(self, get_bucket):
mur_subject = 'Fraudulent misrepresentation'
expected_mur = {
'no': '1',
'name': 'Simple MUR',
'mur_type': 'current',
'election_cycles': [2016],
'doc_id': 'mur_1',
'participants': [],
'subjects': [mur_subject],
'respondents': [],
'documents': [],
'commission_votes': [],
'dispositions': [],
'close_date': None,
'open_date': None,
'url': '/legal/matter-under-review/1/',
'sort1': -1,
'sort2': None
}
self.create_mur(1, expected_mur['no'], expected_mur['name'], mur_subject)
actual_mur = next(get_murs(None))
assert actual_mur == expected_mur
def test_mur_offsets(self, get_bucket):
mur_subject = 'Fraudulent misrepresentation'
expected_mur1 = {
'no': '1',
'name': 'Simple MUR1',
'mur_type': 'current',
'election_cycles': [2016],
'doc_id': 'mur_1',
'participants': [],
'subjects': [mur_subject],
'respondents': [],
'documents': [],
'commission_votes': [],
'dispositions': [],
'close_date': None,
'open_date': None,
'url': '/legal/matter-under-review/1/',
'sort1': -1,
'sort2': None
}
expected_mur2 = {
'no': '2',
'name': 'Simple MUR2',
'mur_type': 'current',
'election_cycles': [2016],
'doc_id': 'mur_2',
'participants': [],
'subjects': [mur_subject],
'respondents': [],
'documents': [],
'commission_votes': [],
'dispositions': [],
'close_date': None,
'open_date': None,
'url': '/legal/matter-under-review/2/',
'sort1': -2,
'sort2': None
}
expected_mur3 = {
'no': '3',
'name': 'Simple MUR',
'mur_type': 'current',
'election_cycles': [2016],
'doc_id': 'mur_3',
'participants': [],
'subjects': [mur_subject],
'respondents': [],
'documents': [],
'commission_votes': [],
'dispositions': [],
'close_date': None,
'open_date': None,
'url': '/legal/matter-under-review/3/',
'sort1': -3,
'sort2': None
}
self.create_mur(1, expected_mur1['no'], expected_mur1['name'], mur_subject)
self.create_mur(2, expected_mur2['no'], expected_mur2['name'], mur_subject)
self.create_mur(3, expected_mur3['no'], expected_mur3['name'], mur_subject)
gen = get_murs(None)
assert(next(gen)) == expected_mur1
assert(next(gen)) == expected_mur2
assert(next(gen)) == expected_mur3
gen = get_murs('2')
assert(next(gen)) == expected_mur2
assert(next(gen)) == expected_mur3
def test_mur_with_disposition(self, get_bucket, get_credential):
case_id = 1
case_no = '1'
name = 'Open Elections LLC'
mur_subject = 'Fraudulent misrepresentation'
pg_date = '2016-10-08'
self.create_mur(case_id, case_no, name, mur_subject)
entity_id = 1
event_date = '2005-01-01'
event_id = 1
self.create_calendar_event(entity_id, event_date, event_id, case_id)
entity_id = 1
event_date = '2008-01-01'
event_id = 2
self.create_calendar_event(entity_id, event_date, event_id, case_id)
parent_event = 0
event_name = 'Conciliation-PPC'
path = ''
is_key_date = 0
check_primary_respondent = 0
pg_date = '2016-01-01'
self.create_event(event_id, parent_event, event_name, path, is_key_date,
check_primary_respondent, pg_date)
first_name = "Commander"
last_name = "Data"
middle_name, prefix, suffix, type = ('', '', '', '')
self.create_entity(entity_id, first_name, last_name, middle_name, prefix, suffix, type, name, pg_date)
master_key = 1
detail_key = 1
relation_id = 1
self.create_relatedobjects(master_key, detail_key, relation_id)
settlement_id = 1
initial_amount = 0
final_amount = 50000
amount_received, settlement_type = (0, '')
self.create_settlement(settlement_id, case_id, initial_amount, final_amount,
amount_received, settlement_type, pg_date)
stage = 'Closed'
statutory_citation = '431'
regulatory_citation = '456'
self.create_violation(case_id, entity_id, stage, statutory_citation, regulatory_citation)
commission_id = 1
agenda_date = event_date
vote_date = event_date
action = 'Conciliation Reached.'
self.create_commission(commission_id, agenda_date, vote_date, action, case_id, pg_date)
actual_mur = next(get_murs(None))
expected_mur = {
'commission_votes': [{'action': 'Conciliation Reached.', 'vote_date': datetime(2008, 1, 1, 0, 0)}],
'dispositions': [{
'disposition': 'Conciliation-PPC',
'respondent': 'Open Elections LLC', 'penalty': Decimal('50000.00'),
'citations': [
{'text': '431',
'title': '2',
'type': 'statute',
'url': 'https://api.fdsys.gov/link?collection=uscode&year=mostrecent&link-type=html&title=52'
'§ion=30101'},
{'text': '456',
'title': '11',
'type': 'regulation',
'url': '/regulations/456/CURRENT'}
]
}],
'subjects': ['Fraudulent misrepresentation'],
'respondents': [],
'documents': [], 'participants': [], 'no': '1', 'doc_id': 'mur_1',
'mur_type': 'current', 'name': 'Open Elections LLC', 'open_date': datetime(2005, 1, 1, 0, 0),
'election_cycles': [2016],
'close_date': datetime(2008, 1, 1, 0, 0),
'url': '/legal/matter-under-review/1/',
'sort1': -1,
'sort2': None
}
assert actual_mur == expected_mur
def test_mur_offsets(self, get_bucket):
mur_subject = 'Fraudulent misrepresentation'
expected_mur1 = {
'no': '1',
'name': 'Simple MUR1',
'mur_type': 'current',
'election_cycles': [2016],
'doc_id': 'mur_1',
'participants': [],
'subjects': [mur_subject],
'respondents': [],
'documents': [],
'commission_votes': [],
'dispositions': [],
'close_date': None,
'open_date': None,
'url': '/legal/matter-under-review/1/',
'sort1': -1,
'sort2': None
}
expected_mur2 = {
'no': '2',
'name': 'Simple MUR2',
'mur_type': 'current',
'election_cycles': [2016],
'doc_id': 'mur_2',
'participants': [],
'subjects': [mur_subject],
'respondents': [],
'documents': [],
'commission_votes': [],
'dispositions': [],
'close_date': None,
'open_date': None,
'url': '/legal/matter-under-review/2/',
'sort1': -2,
'sort2': None
}
expected_mur3 = {
'no': '3',
'name': 'Simple MUR',
'mur_type': 'current',
'election_cycles': [2016],
'doc_id': 'mur_3',
'participants': [],
'subjects': [mur_subject],
'respondents': [],
'documents': [],
'commission_votes': [],
'dispositions': [],
'close_date': None,
'open_date': None,
'url': '/legal/matter-under-review/3/',
'sort1': -3,
'sort2': None
}
self.create_mur(1, expected_mur1['no'], expected_mur1['name'], mur_subject)
self.create_mur(2, expected_mur2['no'], expected_mur2['name'], mur_subject)
self.create_mur(3, expected_mur3['no'], expected_mur3['name'], mur_subject)
gen = get_murs(None)
assert(next(gen)) == expected_mur1
assert(next(gen)) == expected_mur2
assert(next(gen)) == expected_mur3
gen = get_murs('2')
assert(next(gen)) == expected_mur2
assert(next(gen)) == expected_mur3
def test_mur_with_disposition(self, get_bucket, get_credential):
case_id = 1
case_no = '1'
name = 'Open Elections LLC'
mur_subject = 'Fraudulent misrepresentation'
pg_date = '2016-10-08'
self.create_mur(case_id, case_no, name, mur_subject)
entity_id = 1
event_date = '2005-01-01'
event_id = 1
self.create_calendar_event(entity_id, event_date, event_id, case_id)
entity_id = 1
event_date = '2008-01-01'
event_id = 2
self.create_calendar_event(entity_id, event_date, event_id, case_id)
parent_event = 0
event_name = 'Conciliation-PPC'
path = ''
is_key_date = 0
check_primary_respondent = 0
pg_date = '2016-01-01'
self.create_event(event_id, parent_event, event_name, path, is_key_date,
check_primary_respondent, pg_date)
first_name = "Commander"
last_name = "Data"
middle_name, prefix, suffix, type = ('', '', '', '')
self.create_entity(entity_id, first_name, last_name, middle_name, prefix, suffix, type, name, pg_date)
master_key = 1
detail_key = 1
relation_id = 1
self.create_relatedobjects(master_key, detail_key, relation_id)
settlement_id = 1
initial_amount = 0
final_amount = 50000
amount_received, settlement_type = (0, '')
self.create_settlement(settlement_id, case_id, initial_amount, final_amount,
amount_received, settlement_type, pg_date)
stage = 'Closed'
statutory_citation = '431'
regulatory_citation = '456'
self.create_violation(case_id, entity_id, stage, statutory_citation, regulatory_citation)
commission_id = 1
agenda_date = event_date
vote_date = event_date
action = 'Conciliation Reached.'
self.create_commission(commission_id, agenda_date, vote_date, action, case_id, pg_date)
actual_mur = next(get_murs(None))
expected_mur = {
'commission_votes': [{'action': 'Conciliation Reached.', 'vote_date': datetime(2008, 1, 1, 0, 0)}],
'dispositions': [{
'disposition': 'Conciliation-PPC',
'respondent': 'Open Elections LLC', 'penalty': Decimal('50000.00'),
'citations': [
{'text': '431',
'title': '2',
'type': 'statute',
'url': 'https://api.fdsys.gov/link?collection=uscode&year=mostrecent&link-type=html&title=52'
'§ion=30101'},
{'text': '456',
'title': '11',
'type': 'regulation',
'url': '/regulations/456/CURRENT'}
]
}],
'subjects': ['Fraudulent misrepresentation'],
'respondents': [],
'documents': [], 'participants': [], 'no': '1', 'doc_id': 'mur_1',
'mur_type': 'current', 'name': 'Open Elections LLC', 'open_date': datetime(2005, 1, 1, 0, 0),
'election_cycles': [2016],
'close_date': datetime(2008, 1, 1, 0, 0),
'url': '/legal/matter-under-review/1/',
'sort1': -1,
'sort2': None
}
assert actual_mur == expected_mur