def dot_observation_range(self):
"""
get the entire range of observations for our given date range.
"""
if self.single_submit is None:
case_id = self.patient_casedoc._id
observations = query_observations(case_id, self.start_date, self.end_date)
else:
observations = query_observations_singledoc(self.single_submit)
return sorted(observations, key=lambda x: x['observed_date'])
def _doTestNoPillbox(self, bundle):
submit_xform(self.submit_url, self.domain.name, bundle['xml'])
submitted = XFormInstance.get(bundle['xform_id'])
self.assertTrue(hasattr(submitted, PACT_DOTS_DATA_PROPERTY))
observations = query_observations(CASE_ID, bundle['start_date'],
bundle['end_date'])
observed_dates = set()
#assume to be five - 3,2 same as the regimen count, we are refilling empties
self.assertEqual(
5,
len(observations),
msg="Observations do not match regimen count: %d != %d" %
(5, len(observations)))
art_nonart = set()
for obs in observations:
observed_dates.add(obs.observed_date)
self.assertEquals(
obs.day_note, "No check, from form"
) #magic string from the view to indicate a generated DOT observation from form data.
art_nonart.add(obs.is_art)
self.assertEquals(obs.doc_id, bundle['xform_id'])
art = filter(lambda x: x.is_art, observations)
self.assertEquals(2, len(art))
art_answered = filter(lambda x: x.adherence != "unchecked", art)
self.assertEquals(1, len(art_answered))
nonart = filter(lambda x: not x.is_art, observations)
self.assertEquals(3, len(nonart))
nonart_answered = filter(lambda x: x.adherence != "unchecked", nonart)
self.assertEquals(1, len(nonart_answered))
#this only does SINGLE observations for art and non art
self.assertEquals(len(observed_dates), 1)
self.assertEquals(len(art_nonart), 2)
# inspect the regenerated submission and ensure the built xml block is correctly filled.
case_json = get_dots_case_json(PactPatientCase.get(CASE_ID),
anchor_date=bundle['anchor_date'])
enddate = bundle['anchor_date'] # anchor date of this submission
#encounter_date = datetime.strptime(submitted.form['encounter_date'], '%Y-%m-%d')
encounter_date = submitted.form['encounter_date']
for day_delta in range(DOT_DAYS_INTERVAL):
obs_date = enddate - timedelta(days=day_delta)
ret_index = DOT_DAYS_INTERVAL - day_delta - 1
day_arr = case_json['days'][ret_index]
nonart_day_data = day_arr[0]
art_day_data = day_arr[1]
self.assertEquals(len(nonart_day_data), 3)
self.assertEquals(len(art_day_data), 2)
def _doTestNoPillbox(self, bundle):
submit_xform(self.submit_url, self.domain.name, bundle['xml'])
submitted = XFormInstance.get(bundle['xform_id'])
self.assertTrue(hasattr(submitted, PACT_DOTS_DATA_PROPERTY))
observations = query_observations(CASE_ID, bundle['start_date'], bundle['end_date'])
observed_dates = set()
#assume to be five - 3,2 same as the regimen count, we are refilling empties
self.assertEqual(5, len(observations), msg="Observations do not match regimen count: %d != %d" % ( 5, len(observations)))
art_nonart = set()
for obs in observations:
observed_dates.add(obs.observed_date)
self.assertEquals(obs.day_note, "No check, from form") #magic string from the view to indicate a generated DOT observation from form data.
art_nonart.add(obs.is_art)
self.assertEquals(obs.doc_id, bundle['xform_id'])
art = filter(lambda x: x.is_art, observations)
self.assertEquals(2, len(art))
art_answered = filter(lambda x: x.adherence != "unchecked", art)
self.assertEquals(1, len(art_answered))
nonart = filter(lambda x: not x.is_art, observations)
self.assertEquals(3, len(nonart))
nonart_answered = filter(lambda x: x.adherence != "unchecked", nonart)
self.assertEquals(1, len(nonart_answered))
#this only does SINGLE observations for art and non art
self.assertEquals(len(observed_dates), 1)
self.assertEquals(len(art_nonart), 2)
# inspect the regenerated submission and ensure the built xml block is correctly filled.
case_json = get_dots_case_json(PactPatientCase.get(CASE_ID), anchor_date=bundle['anchor_date'])
enddate = bundle['anchor_date'] # anchor date of this submission
#encounter_date = datetime.strptime(submitted.form['encounter_date'], '%Y-%m-%d')
encounter_date = submitted.form['encounter_date']
for day_delta in range(DOT_DAYS_INTERVAL):
obs_date = enddate - timedelta(days=day_delta)
ret_index = DOT_DAYS_INTERVAL - day_delta -1
day_arr = case_json['days'][ret_index]
nonart_day_data = day_arr[0]
art_day_data = day_arr[1]
self.assertEquals(len(nonart_day_data), 3)
self.assertEquals(len(art_day_data), 2)
def testDOTFormatConversion(self):
"""
When a DOT submission comes in, it gets sliced into the CObservations
and put into the DOTDay format.
On resubmit/recompute, it's transmitted back into the packed json format and sent back to the phone and resubmitted with new data.
This test confirms that the conversion process works.
"""
self.testSignal()
submitted = XFormInstance.get(PILLBOX_ID)
orig_data = getattr(submitted, PACT_DOTS_DATA_PROPERTY)['dots']
orig_anchor = orig_data['anchor']
del orig_data['anchor'] # can't reproduce gmt offset
observations = query_observations(CASE_ID, START_DATE, END_DATE)
#hack, bootstrap the labels manually
nonart_idx = [0, 2, 3]
art_idx = [0, 1]
casedoc = PactPatientCase.get(CASE_ID)
casedoc.nonartregimen = 3
casedoc.dot_n_one = 0
casedoc.dot_n_two = 2
casedoc.dot_n_three = 3
casedoc.dot_n_four = None
casedoc.artregimen = 2
casedoc.dot_a_one = 0
casedoc.dot_a_two = 1
casedoc.dot_a_three = ''
casedoc.dot_a_four = None
computed_json = simplejson.loads(
simplejson.dumps(
get_dots_case_json(casedoc, anchor_date=ANCHOR_DATE)))
computed_anchor = computed_json['anchor']
del computed_json['anchor']
for k in orig_data.keys():
if k != 'days':
self.assertEquals(orig_data[k], computed_json[k])
self.assertEquals(simplejson.dumps(orig_data),
simplejson.dumps(computed_json))
def testDOTFormatConversion(self):
"""
When a DOT submission comes in, it gets sliced into the CObservations
and put into the DOTDay format.
On resubmit/recompute, it's transmitted back into the packed json format and sent back to the phone and resubmitted with new data.
This test confirms that the conversion process works.
"""
self.testSignal()
submitted = XFormInstance.get(PILLBOX_ID)
orig_data = getattr(submitted, PACT_DOTS_DATA_PROPERTY)['dots']
orig_anchor = orig_data['anchor']
del orig_data['anchor'] # can't reproduce gmt offset
observations = query_observations(CASE_ID, START_DATE, END_DATE)
#hack, bootstrap the labels manually
nonart_idx = [0, 2, 3]
art_idx = [0, 1]
casedoc = PactPatientCase.get(CASE_ID)
casedoc.nonartregimen = 3
casedoc.dot_n_one = 0
casedoc.dot_n_two = 2
casedoc.dot_n_three = 3
casedoc.dot_n_four = None
casedoc.artregimen = 2
casedoc.dot_a_one = 0
casedoc.dot_a_two = 1
casedoc.dot_a_three = ''
casedoc.dot_a_four = None
computed_json = simplejson.loads(
simplejson.dumps(get_dots_case_json(casedoc, anchor_date=ANCHOR_DATE)))
computed_anchor = computed_json['anchor']
del computed_json['anchor']
for k in orig_data.keys():
if k != 'days':
self.assertEquals(orig_data[k], computed_json[k])
self.assertEquals(simplejson.dumps(orig_data), simplejson.dumps(computed_json))
def testPillboxCheck(self):
"""
This test tries to accomplish a few things
0: ensure the content of the signal is correctly set
1: verify that the dots_observations view is working correctly in reporting dates correclty back in order
2: Ensure that if you fill out the questions on the form, it won't redundantly fill out the pillbox cells again as well
3: ensure that proper ART/NonART sequences are put in the correct buckets when combined into a "DOTS Day" cell
todo: get label day_slot to work correctly
"""
#check to make sure that 0th and nth elements are where they ought to be
#hit the VIEW to make sure it's there
#make sure the pact_dots_data signal is working
#check no pillbox check entries that entries show up, and NOTHING more.
#ensure signal works
#todo: labeling checks
self.testSignal()
observations = query_observations(CASE_ID, START_DATE, END_DATE)
td = END_DATE - START_DATE
def check_obs_props(obs, props):
for k, v in props.items():
if k.endswith("_date"):
# datetime check
obs_datetime = getattr(obs, k)
val_datetime = dateutil.parser.parse(v)
if k in ('completed_date', 'created_date'):
obs_datetime = ServerTime(obs_datetime).user_time(PACT_TIMEZONE).done()
obs_date = obs_datetime.date()
val_date = val_datetime.date()
self.assertEquals(obs_date, val_date)
else:
self.assertEquals(getattr(obs, k), v,
msg="Error, observation %s\n\t%s didn't match: %s != %s" % (
json.dumps(obs.to_json(), indent=4), k, getattr(obs, k),
v))
for d in range(td.days):
this_day = START_DATE + timedelta(days=d)
day_submissions = filter_obs_for_day(this_day.date(), observations)
day_data = DOTDay.merge_from_observations(day_submissions)
if this_day.date() == START_DATE.date():
art_first = day_data.art.dose_dict[1][0]
art_first_check_props = {
"encounter_date": "2012-12-07T05:00:00Z",
"total_doses": 2,
"day_note": "art first noon",
"day_index": 20,
"note": "",
"pact_id": "999999",
"provider": "ctsims",
"method": "pillbox",
"observed_date": "2012-11-17T05:00:00Z",
#"day_slot": 1,
"completed_date": "2012-12-16T22:00:28.847000Z",
"adherence": "partial",
"dose_number": 1, #zero indexed
# "doc_type": "CObservation",
"is_reconciliation": False,
"anchor_date": "2012-12-07T05:00:00Z",
"created_date": "2012-12-16T21:37:52.771000Z",
"is_art": True,
"_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759",
"doc_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759"
}
check_obs_props(art_first, art_first_check_props)
non_art_first_1 = day_data.nonart.dose_dict[1][0]
non_art_first_1_props = {
"encounter_date": "2012-12-07T05:00:00Z",
"total_doses": 3,
"day_note": "non art first evening",
"day_index": 20,
"note": "",
"pact_id": "999999",
"provider": "ctsims",
"method": "pillbox",
"observed_date": "2012-11-17T05:00:00Z",
# "day_slot": 2,
"completed_date": "2012-12-16T22:00:28.847000Z",
"adherence": "partial",
"dose_number": 1,
# "doc_type": "CObservation",
"is_reconciliation": False,
"anchor_date": "2012-12-07T05:00:00Z",
"created_date": "2012-12-16T21:37:52.771000Z",
"is_art": False,
"_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759",
"doc_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759"
}
check_obs_props(non_art_first_1, non_art_first_1_props)
non_art_first_2 = day_data.nonart.dose_dict[2][0]
non_art_first_2_props = {
"encounter_date": "2012-12-07T05:00:00Z",
"total_doses": 3,
"day_note": "non art bedtime first",
"day_index": 20,
"note": "",
"pact_id": "999999",
"provider": "ctsims",
"method": "pillbox",
"observed_date": "2012-11-17T05:00:00Z",
# "day_slot": 3,
"completed_date": "2012-12-16T22:00:28.847000Z",
"adherence": "partial",
"dose_number": 2,
# "doc_type": "CObservation",
"is_reconciliation": False,
"anchor_date": "2012-12-07T05:00:00Z",
"created_date": "2012-12-16T21:37:52.771000Z",
"is_art": False,
"_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759",
"doc_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759"
}
check_obs_props(non_art_first_2, non_art_first_2_props)
if this_day.date() == (ANCHOR_DATE - timedelta(days=1)).date():
self.assertEquals(len(day_data.art.dose_dict.keys()),
2) # two doses, one for the answered, another for unchecked
art_slast = day_data.art.dose_dict[0][0]
art_slast_props = {
"encounter_date": "2012-12-07T05:00:00Z",
"total_doses": 2,
"day_note": "2nd to last last filled by questions",
"day_index": 1,
"note": "",
"pact_id": "999999",
"provider": "ctsims",
"method": "pillbox",
"observed_date": "2012-12-06T05:00:00Z",
"day_slot": -1,
"completed_date": "2012-12-16T22:00:28.847000Z",
"adherence": "partial",
"dose_number": 0,
# "doc_type": "CObservation",
"is_reconciliation": False,
"anchor_date": "2012-12-07T05:00:00Z",
"created_date": "2012-12-16T21:37:52.771000Z",
"is_art": True,
"_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759",
"doc_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759"
}
check_obs_props(art_slast, art_slast_props)
nonart_slast0 = day_data.nonart.dose_dict[0][0]
non_art0 = {
"encounter_date": "2012-12-07T05:00:00Z",
"total_doses": 3,
"day_note": "",
"day_index": 1,
"note": "",
"pact_id": "999999",
"provider": "ctsims",
"method": "direct",
"observed_date": "2012-12-06T05:00:00Z",
# "day_slot": -1,
"completed_date": "2012-12-16T22:00:28.847000Z",
"adherence": "empty",
"dose_number": 0,
# "doc_type": "CObservation",
"is_reconciliation": False,
"anchor_date": "2012-12-07T05:00:00Z",
"created_date": "2012-12-16T21:37:52.771000Z",
"is_art": False,
"_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759",
"doc_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759"
}
check_obs_props(nonart_slast0, non_art0)
nonart_slast1 = day_data.nonart.dose_dict[1][0]
non_art1 = {
"encounter_date": "2012-12-07T05:00:00Z",
"total_doses": 3,
"day_note": "non art noon second to last",
"day_index": 1,
"note": "",
"pact_id": "999999",
"provider": "ctsims",
"method": "pillbox",
"observed_date": "2012-12-06T05:00:00Z",
# "day_slot": -1,
"completed_date": "2012-12-16T22:00:28.847000Z",
"adherence": "partial",
"dose_number": 1,
# "doc_type": "CObservation",
"is_reconciliation": False,
"anchor_date": "2012-12-07T05:00:00Z",
"created_date": "2012-12-16T21:37:52.771000Z",
"is_art": False,
"_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759",
"doc_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759"
}
check_obs_props(nonart_slast1, non_art1)
nonart_slast2 = day_data.nonart.dose_dict[2][0]
non_art2 = {
"encounter_date": "2012-12-07T05:00:00Z",
"total_doses": 3,
"day_note": "art evening second to last",
"day_index": 1,
"note": "",
"pact_id": "999999",
"provider": "ctsims",
"method": "pillbox",
"observed_date": "2012-12-06T05:00:00Z",
# "day_slot": -1,
"completed_date": "2012-12-16T22:00:28.847000Z",
"adherence": "partial",
"dose_number": 2,
# "doc_type": "CObservation",
"is_reconciliation": False,
"anchor_date": "2012-12-07T05:00:00Z",
"created_date": "2012-12-16T21:37:52.771000Z",
"is_art": False,
"_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759",
"doc_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759"
}
check_obs_props(nonart_slast2, non_art2)
if this_day.date() == ANCHOR_DATE.date():
self.assertEqual(len(day_data.nonart.dose_dict[0]), 1)
non_art_last = day_data.nonart.dose_dict[0][0]
non_art_last_props = {
"encounter_date": "2012-12-07T05:00:00Z",
"total_doses": 3,
"day_note": "",
"day_index": 0,
"note": "Anchor same",
"pact_id": "999999",
"provider": "ctsims",
"method": "direct",
"observed_date": "2012-12-07T05:00:00Z",
#"day_slot": -1,
"completed_date": "2012-12-16T22:00:28.847000Z",
"adherence": "partial",
"dose_number": 0,
# "doc_type": "CObservation",
"is_reconciliation": False,
"anchor_date": "2012-12-07T05:00:00Z",
"created_date": "2012-12-16T21:37:52.771000Z",
"is_art": False,
"_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759",
"doc_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759"
}
check_obs_props(non_art_last, non_art_last_props)
non_art_last_noon = day_data.nonart.dose_dict[1][0]
non_art_last_noon_props = {
"encounter_date": "2012-12-07T05:00:00Z",
"total_doses": 3,
"day_note": "non art noon last",
"day_index": 0,
"note": "Anchor same",
"pact_id": "999999",
"provider": "ctsims",
"method": "pillbox",
"observed_date": "2012-12-07T05:00:00Z",
# "day_slot": -1,
"completed_date": "2012-12-16T22:00:28.847000Z",
"adherence": "partial",
"dose_number": 1,
# "doc_type": "CObservation",
"is_reconciliation": False,
"anchor_date": "2012-12-07T05:00:00Z",
"created_date": "2012-12-16T21:37:52.771000Z",
"is_art": False,
"_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759",
"doc_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759"
}
check_obs_props(non_art_last_noon, non_art_last_noon_props)
#todo: check reconciliation?
pass
def testPillboxCheck(self):
"""
This test tries to accomplish a few things
0: ensure the content of the signal is correctly set
1: verify that the dots_observations view is working correctly in reporting dates correclty back in order
2: Ensure that if you fill out the questions on the form, it won't redundantly fill out the pillbox cells again as well
3: ensure that proper ART/NonART sequences are put in the correct buckets when combined into a "DOTS Day" cell
todo: get label day_slot to work correctly
"""
#check to make sure that 0th and nth elements are where they ought to be
#hit the VIEW to make sure it's there
#make sure the pact_dots_data signal is working
#check no pillbox check entries that entries show up, and NOTHING more.
#ensure signal works
#todo: labeling checks
self.testSignal()
observations = query_observations(CASE_ID, START_DATE, END_DATE)
td = END_DATE - START_DATE
def check_obs_props(obs, props):
for k, v in props.items():
if k.endswith("_date"):
#datetime check
obs_date = getattr(obs, k).date()
val_date = dateutil.parser.parse(v).date()
self.assertEquals(obs_date, val_date)
else:
self.assertEquals(
getattr(obs, k),
v,
msg="Error, observation %s\n\t%s didn't match: %s != %s"
% (simplejson.dumps(obs.to_json(),
indent=4), k, getattr(obs, k), v))
for d in range(td.days):
this_day = START_DATE + timedelta(days=d)
day_submissions = filter_obs_for_day(this_day.date(), observations)
day_data = DOTDay.merge_from_observations(day_submissions)
if this_day.date() == START_DATE.date():
art_first = day_data.art.dose_dict[1][0]
art_first_check_props = {
"encounter_date": "2012-12-07T05:00:00Z",
"total_doses": 2,
"day_note": "art first noon",
"day_index": 20,
"note": "",
"pact_id": "999999",
"provider": "ctsims",
"method": "pillbox",
"observed_date": "2012-11-17T05:00:00Z",
#"day_slot": 1,
"completed_date": "2012-12-16T22:00:28Z",
"adherence": "partial",
"dose_number": 1, #zero indexed
# "doc_type": "CObservation",
"is_reconciliation": False,
"anchor_date": "2012-12-07T05:00:00Z",
"created_date": "2012-12-16T21:37:52Z",
"is_art": True,
"_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759",
"doc_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759"
}
check_obs_props(art_first, art_first_check_props)
non_art_first_1 = day_data.nonart.dose_dict[1][0]
non_art_first_1_props = {
"encounter_date": "2012-12-07T05:00:00Z",
"total_doses": 3,
"day_note": "non art first evening",
"day_index": 20,
"note": "",
"pact_id": "999999",
"provider": "ctsims",
"method": "pillbox",
"observed_date": "2012-11-17T05:00:00Z",
# "day_slot": 2,
"completed_date": "2012-12-16T22:00:28Z",
"adherence": "partial",
"dose_number": 1,
# "doc_type": "CObservation",
"is_reconciliation": False,
"anchor_date": "2012-12-07T05:00:00Z",
"created_date": "2012-12-16T21:37:52Z",
"is_art": False,
"_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759",
"doc_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759"
}
check_obs_props(non_art_first_1, non_art_first_1_props)
non_art_first_2 = day_data.nonart.dose_dict[2][0]
non_art_first_2_props = {
"encounter_date": "2012-12-07T05:00:00Z",
"total_doses": 3,
"day_note": "non art bedtime first",
"day_index": 20,
"note": "",
"pact_id": "999999",
"provider": "ctsims",
"method": "pillbox",
"observed_date": "2012-11-17T05:00:00Z",
# "day_slot": 3,
"completed_date": "2012-12-16T22:00:28Z",
"adherence": "partial",
"dose_number": 2,
# "doc_type": "CObservation",
"is_reconciliation": False,
"anchor_date": "2012-12-07T05:00:00Z",
"created_date": "2012-12-16T21:37:52Z",
"is_art": False,
"_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759",
"doc_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759"
}
check_obs_props(non_art_first_2, non_art_first_2_props)
if this_day.date() == (ANCHOR_DATE - timedelta(days=1)).date():
self.assertEquals(
len(day_data.art.dose_dict.keys()), 2
) # two doses, one for the answered, another for unchecked
art_slast = day_data.art.dose_dict[0][0]
art_slast_props = {
"encounter_date": "2012-12-07T05:00:00Z",
"total_doses": 2,
"day_note": "2nd to last last filled by questions",
"day_index": 1,
"note": "",
"pact_id": "999999",
"provider": "ctsims",
"method": "pillbox",
"observed_date": "2012-12-06T05:00:00Z",
"day_slot": -1,
"completed_date": "2012-12-16T22:00:28Z",
"adherence": "partial",
"dose_number": 0,
# "doc_type": "CObservation",
"is_reconciliation": False,
"anchor_date": "2012-12-07T05:00:00Z",
"created_date": "2012-12-16T21:37:52Z",
"is_art": True,
"_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759",
"doc_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759"
}
check_obs_props(art_slast, art_slast_props)
nonart_slast0 = day_data.nonart.dose_dict[0][0]
non_art0 = {
"encounter_date": "2012-12-07T05:00:00Z",
"total_doses": 3,
"day_note": "",
"day_index": 1,
"note": "",
"pact_id": "999999",
"provider": "ctsims",
"method": "direct",
"observed_date": "2012-12-06T05:00:00Z",
# "day_slot": -1,
"completed_date": "2012-12-16T22:00:28Z",
"adherence": "empty",
"dose_number": 0,
# "doc_type": "CObservation",
"is_reconciliation": False,
"anchor_date": "2012-12-07T05:00:00Z",
"created_date": "2012-12-16T21:37:52Z",
"is_art": False,
"_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759",
"doc_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759"
}
check_obs_props(nonart_slast0, non_art0)
nonart_slast1 = day_data.nonart.dose_dict[1][0]
non_art1 = {
"encounter_date": "2012-12-07T05:00:00Z",
"total_doses": 3,
"day_note": "non art noon second to last",
"day_index": 1,
"note": "",
"pact_id": "999999",
"provider": "ctsims",
"method": "pillbox",
"observed_date": "2012-12-06T05:00:00Z",
# "day_slot": -1,
"completed_date": "2012-12-16T22:00:28Z",
"adherence": "partial",
"dose_number": 1,
# "doc_type": "CObservation",
"is_reconciliation": False,
"anchor_date": "2012-12-07T05:00:00Z",
"created_date": "2012-12-16T21:37:52Z",
"is_art": False,
"_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759",
"doc_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759"
}
check_obs_props(nonart_slast1, non_art1)
nonart_slast2 = day_data.nonart.dose_dict[2][0]
non_art2 = {
"encounter_date": "2012-12-07T05:00:00Z",
"total_doses": 3,
"day_note": "art evening second to last",
"day_index": 1,
"note": "",
"pact_id": "999999",
"provider": "ctsims",
"method": "pillbox",
"observed_date": "2012-12-06T05:00:00Z",
# "day_slot": -1,
"completed_date": "2012-12-16T22:00:28Z",
"adherence": "partial",
"dose_number": 2,
# "doc_type": "CObservation",
"is_reconciliation": False,
"anchor_date": "2012-12-07T05:00:00Z",
"created_date": "2012-12-16T21:37:52Z",
"is_art": False,
"_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759",
"doc_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759"
}
check_obs_props(nonart_slast2, non_art2)
if this_day.date() == ANCHOR_DATE.date():
self.assertEqual(len(day_data.nonart.dose_dict[0]), 1)
non_art_last = day_data.nonart.dose_dict[0][0]
non_art_last_props = {
"encounter_date": "2012-12-07T05:00:00Z",
"total_doses": 3,
"day_note": "",
"day_index": 0,
"note": "Anchor same",
"pact_id": "999999",
"provider": "ctsims",
"method": "direct",
"observed_date": "2012-12-07T05:00:00Z",
#"day_slot": -1,
"completed_date": "2012-12-16T22:00:28Z",
"adherence": "partial",
"dose_number": 0,
# "doc_type": "CObservation",
"is_reconciliation": False,
"anchor_date": "2012-12-07T05:00:00Z",
"created_date": "2012-12-16T21:37:52Z",
"is_art": False,
"_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759",
"doc_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759"
}
check_obs_props(non_art_last, non_art_last_props)
non_art_last_noon = day_data.nonart.dose_dict[1][0]
non_art_last_noon_props = {
"encounter_date": "2012-12-07T05:00:00Z",
"total_doses": 3,
"day_note": "non art noon last",
"day_index": 0,
"note": "Anchor same",
"pact_id": "999999",
"provider": "ctsims",
"method": "pillbox",
"observed_date": "2012-12-07T05:00:00Z",
# "day_slot": -1,
"completed_date": "2012-12-16T22:00:28Z",
"adherence": "partial",
"dose_number": 1,
# "doc_type": "CObservation",
"is_reconciliation": False,
"anchor_date": "2012-12-07T05:00:00Z",
"created_date": "2012-12-16T21:37:52Z",
"is_art": False,
"_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759",
"doc_id": "a1811d7e-c968-4b63-aea5-6195ce0d8759"
}
check_obs_props(non_art_last_noon, non_art_last_noon_props)
#todo: check reconciliation?
pass
