def test_file_content(self):
update_bihar_api_table(date(2017, 5, 1))
data, count = get_mother_details(month=date(2017, 5,
1).strftime("%Y-%m-%d"),
state_id='st1',
last_ccs_case_id='')
for case in data:
if case['ccs_case_id'] == '08d215e7-81c7-4ad3-9c7d-1b27f0ed4bb5':
ccs_case_details = case
break
self.assertEqual(
{
"household_id": 'b6a55583-e07d-4367-ae5c-f3ff22f85271',
"person_id": "cc75916b-a71e-4c4d-a537-5c7bef95b12f",
"ccs_case_id": "08d215e7-81c7-4ad3-9c7d-1b27f0ed4bb5",
"married": 1,
"husband_name": "test_husband_name",
"husband_id": "b1e7f7d8-149e-4ffc-a876-2a70a469edbc",
"last_preg_year": 12,
"is_pregnant": 1,
"preg_reg_date": datetime.date(2017, 4, 12),
"tt_1": datetime.date(2017, 5, 1),
'tt_2': datetime.date(2017, 5, 2),
"tt_booster": datetime.date(2017, 5, 3),
"hb": 2,
"add": datetime.date(2017, 6, 1),
"last_preg_tt": None,
"lmp": datetime.date(2016, 10, 2)
}, ccs_case_details)
def test_pregnant_mother_current_month_negative_ifa(self):
data, count = get_mother_details(
month=date(2017, 5, 1).strftime("%Y-%m-%d"),
state_id='st1',
last_ccs_case_id=''
)
for case in data:
if case['ccs_case_id'] == 'f3d9aeb7-d3f5-49d1-aa78-4f33aa5cee77':
ccs_case_details = case
break
self.assertEqual(
{
'add': datetime.date(2017, 6, 1),
'anc_1': None,
'anc_2': None,
'anc_3': None,
'anc_4': None,
'causes_for_ifa': None,
'ccs_case_id': 'f3d9aeb7-d3f5-49d1-aa78-4f33aa5cee77',
'edd': datetime.date(2017, 7, 9),
'hb': None,
'household_id': None,
'husband_id': None,
'husband_name': None,
'ifa_consumed_7_days': 4,
'is_pregnant': 1,
'last_preg_tt': None,
'last_preg_year': None,
'lmp': datetime.date(2016, 10, 2),
'married': None,
'maternal_complications': None,
'person_id': 'e94393fd-5007-48f3-95fb-fc1c7f6d3bce',
'preg_reg_date': datetime.date(2017, 4, 12),
'total_ifa_tablets_received': -10,
'tt_1': None,
'tt_2': None,
'tt_booster': None
},
ccs_case_details
)
def test_non_pregnant_mother_past_month_positive_ifa(self):
data, count = get_mother_details(
month=date(2017, 5, 1).strftime("%Y-%m-%d"),
state_id='st1',
last_ccs_case_id=''
)
for case in data:
if case['ccs_case_id'] == 'f77d2181-5850-4675-9abe-2276acca4198':
ccs_case_details = case
break
self.assertEqual(
{
'add': datetime.date(2017, 6, 1),
'anc_1': None,
'anc_2': None,
'anc_3': None,
'anc_4': None,
'causes_for_ifa': None,
'ccs_case_id': 'f77d2181-5850-4675-9abe-2276acca4198',
'edd': datetime.date(2017, 7, 9),
'hb': None,
'household_id': None,
'husband_id': None,
'husband_name': None,
'ifa_consumed_7_days': 4,
'is_pregnant': 1,
'last_preg_tt': None,
'last_preg_year': None,
'lmp': datetime.date(2016, 10, 2),
'married': None,
'maternal_complications': None,
'person_id': 'ef12d6ce-a9af-4cf5-8459-0286432c5465',
'preg_reg_date': datetime.date(2017, 4, 12),
'total_ifa_tablets_received': None,
'tt_1': None,
'tt_2': None,
'tt_booster': None
},
ccs_case_details
)
def test_non_pregnant_mother_current_month_positive_ifa(self):
data, count = get_mother_details(
month=date(2017, 5, 1).strftime("%Y-%m-%d"),
state_id='st1',
last_ccs_case_id=''
)
for case in data:
if case['ccs_case_id'] == 'f491263a-4846-4ffd-a64d-a6653c03dd03':
ccs_case_details = case
break
self.assertEqual(
{
"household_id": None,
"person_id": "1d3e45d5-bd58-487c-9f93-7da2cf67c8d7",
"ccs_case_id": "f491263a-4846-4ffd-a64d-a6653c03dd03",
"married": None,
"husband_name": None,
"husband_id": None,
"last_preg_year": 14,
"is_pregnant": None,
"preg_reg_date": None,
"tt_1": datetime.date(2017, 5, 31),
'tt_2': datetime.date(2017, 6, 1),
"tt_booster": datetime.date(2017, 6, 2),
"hb": None,
"add": datetime.date(2017, 3, 20),
"last_preg_tt": None,
"lmp": datetime.date(2016, 11, 1),
"anc_1": datetime.date(2016, 11, 7),
"anc_2": datetime.date(2016, 12, 7),
"anc_3": datetime.date(2017, 1, 6),
"anc_4": datetime.date(2017, 2, 5),
"edd": datetime.date(2017, 8, 8),
"total_ifa_tablets_received": 100,
"ifa_consumed_7_days": 2,
"causes_for_ifa": "dont_remember",
"maternal_complications": "Discharge"
},
ccs_case_details
)
def test_pregnant_mother_past_month_positive_ifa(self):
data, count = get_mother_details(
month=date(2017, 5, 1).strftime("%Y-%m-%d"),
state_id='st1',
last_ccs_case_id=''
)
for case in data:
if case['ccs_case_id'] == '08d215e7-81c7-4ad3-9c7d-1b27f0ed4bb5':
ccs_case_details = case
break
self.assertEqual(
{
"household_id": 'b6a55583-e07d-4367-ae5c-f3ff22f85271',
"person_id": "cc75916b-a71e-4c4d-a537-5c7bef95b12f",
"ccs_case_id": "08d215e7-81c7-4ad3-9c7d-1b27f0ed4bb5",
"married": 1,
"husband_name": "test_husband_name",
"husband_id": "b1e7f7d8-149e-4ffc-a876-2a70a469edbc",
"last_preg_year": 12,
"is_pregnant": 1,
"preg_reg_date": datetime.date(2017, 4, 12),
"tt_1": datetime.date(2017, 5, 1),
'tt_2': datetime.date(2017, 5, 2),
"tt_booster": datetime.date(2017, 5, 3),
"hb": 2,
"add": datetime.date(2017, 6, 1),
"last_preg_tt": None,
"lmp": datetime.date(2016, 10, 2),
"anc_1": datetime.date(2016, 10, 8),
"anc_2": datetime.date(2016, 11, 7),
"anc_3": datetime.date(2016, 12, 7),
"anc_4": datetime.date(2017, 1, 6),
"edd": datetime.date(2017, 7, 9),
"total_ifa_tablets_received": 10,
"ifa_consumed_7_days": 4,
"causes_for_ifa": "side_effects",
"maternal_complications": 'Discharge'
},
ccs_case_details
)
def test_non_pregnant_mother_past_month_negative_ifa(self):
data, count = get_mother_details(
month=date(2017, 5, 1).strftime("%Y-%m-%d"),
state_id='st1',
last_ccs_case_id=''
)
for case in data:
if case['ccs_case_id'] == 'a87c92ec-d5a6-4dae-a8a1-14e7abf31441':
ccs_case_details = case
break
self.assertEqual(
{
'add': datetime.date(2017, 5, 2),
'anc_1': None,
'anc_2': None,
'anc_3': None,
'anc_4': None,
'causes_for_ifa': None,
'ccs_case_id': 'a87c92ec-d5a6-4dae-a8a1-14e7abf31441',
'edd': datetime.date(2017, 7, 12),
'hb': None,
'household_id': None,
'husband_id': None,
'husband_name': None,
'ifa_consumed_7_days': 2,
'is_pregnant': None,
'last_preg_tt': None,
'last_preg_year': None,
'lmp': datetime.date(2016, 10, 5),
'married': None,
'maternal_complications': None,
'person_id': 'c013cab2-e924-43f6-9a2d-cff137774229',
'preg_reg_date': None,
'total_ifa_tablets_received': -99,
'tt_1': None,
'tt_2': None,
'tt_booster': None
},
ccs_case_details
)
def test_pregnant_mother_current_month_positive_ifa(self):
data, count = get_mother_details(
month=date(2017, 5, 1).strftime("%Y-%m-%d"),
state_id='st1',
last_ccs_case_id=''
)
for case in data:
if case['ccs_case_id'] == 'c7c368d4-e554-4e12-a62f-87403453a515':
ccs_case_details = case
break
self.assertEqual(
{
'add': datetime.date(2017, 6, 1),
'anc_1': None,
'anc_2': None,
'anc_3': None,
'anc_4': None,
'causes_for_ifa': None,
'ccs_case_id': 'c7c368d4-e554-4e12-a62f-87403453a515',
'edd': datetime.date(2017, 8, 31),
'hb': None,
'household_id': None,
'husband_id': None,
'husband_name': None,
'ifa_consumed_7_days': 4,
'is_pregnant': 1,
'last_preg_tt': None,
'last_preg_year': None,
'lmp': datetime.date(2016, 11, 24),
'married': None,
'maternal_complications': None,
'person_id': '3c9658d5-e522-4f2c-b636-3ed194d89cb1',
'preg_reg_date': datetime.date(2017, 4, 12),
'total_ifa_tablets_received': 10,
'tt_1': None,
'tt_2': None,
'tt_booster': None
},
ccs_case_details
)
def test_pregnant_mother_past_month_negative_ifa(self):
data, count = get_mother_details(
month=date(2017, 5, 1).strftime("%Y-%m-%d"),
state_id='st1',
last_ccs_case_id=''
)
for case in data:
if case['ccs_case_id'] == '9bd35459-6a3c-43ad-a144-0c0013b4272e':
ccs_case_details = case
break
self.assertEqual(
{
'add': datetime.date(2017, 6, 1),
'anc_1': None,
'anc_2': None,
'anc_3': None,
'anc_4': None,
'causes_for_ifa': None,
'ccs_case_id': '9bd35459-6a3c-43ad-a144-0c0013b4272e',
'edd': datetime.date(2017, 8, 31),
'hb': 2,
'household_id': None,
'husband_id': None,
'husband_name': None,
'ifa_consumed_7_days': 4,
'is_pregnant': 1,
'last_preg_tt': None,
'last_preg_year': None,
'lmp': datetime.date(2016, 11, 24),
'married': None,
'maternal_complications': None,
'person_id': '8c5f8d3f-c6cd-4737-a994-2e494aeda05a',
'preg_reg_date': datetime.date(2017, 4, 12),
'total_ifa_tablets_received': -98,
'tt_1': None,
'tt_2': None,
'tt_booster': None
},
ccs_case_details
)
def test_non_pregnant_mother_current_month_negative_ifa(self):
data, count = get_mother_details(
month=date(2017, 5, 1).strftime("%Y-%m-%d"),
state_id='st1',
last_ccs_case_id=''
)
for case in data:
if case['ccs_case_id'] == '10a53900-f65e-46b7-ae0c-f32a208c0677':
ccs_case_details = case
break
self.assertEqual(
{
'add': datetime.date(2017, 3, 20),
'anc_1': None,
'anc_2': None,
'anc_3': None,
'anc_4': None,
'causes_for_ifa': None,
'ccs_case_id': '10a53900-f65e-46b7-ae0c-f32a208c0677',
'edd': datetime.date(2017, 8, 8),
'hb': None,
'household_id': None,
'husband_id': None,
'husband_name': None,
'ifa_consumed_7_days': 2,
'is_pregnant': None,
'last_preg_tt': None,
'last_preg_year': None,
'lmp': datetime.date(2016, 11, 1),
'married': None,
'maternal_complications': None,
'person_id': '177bdbb3-d4db-4077-9720-86a99b12ba25',
'preg_reg_date': None,
'total_ifa_tablets_received': -90,
'tt_1': None,
'tt_2': None,
'tt_booster': None
},
ccs_case_details
)