def calculate_funnel_data(date, period_type):
data = []
# Initialise values for the period and its start
# and end dates
period = datecalc.get_period(date, period_type)
period_start_date = datecalc.period_start_date(date, period_type)
period_end_date = datecalc.period_end_date(date, period_type)
# The list of calculated metrics is stored in the database.
# If a calculation (C2) depends on the result of another
# calculation (C1), then C2 will have a higher calcsortorder
# value than C1.
calculated_metrics = scraperwiki.sql.select(
"* FROM metrics WHERE calculated ORDER BY calcsortorder ASC")
for metric in calculated_metrics:
operand1 = get_metric_value(
metric["operand1metricid"],
offset_period(
date,
period_type,
float(metric["operand1periodoffset"])
)
)
operand2 = get_metric_value(
metric["operand2metricid"],
offset_period(
date,
period_type,
float(metric["operand2periodoffset"])
)
)
value = do_operation(operand1, operand2, metric["operation"])
#
# Debug code.
#
if value is not None:
data.append({
"metricid": metric["metricid"],
"period": period,
"value": value,
"period_type": period_type,
"period_start_date": period_start_date.isoformat(),
"period_end_date": period_end_date.isoformat()
})
S.StoreRecords(data, table = "funnel", verbose = False)
return True
def collect_previous_ckan_data(test_data = False):
'''Syncing historical CKAN data with the newly installed database.'''
#
# TODO: This is a major failure point.
# This collector relies on data collected
# by a very old collector written in R
# and hosted in ScraperWiki.
#
data_dir = os.path.split(dir)[0]
path = os.path.join(data_dir, "temp", "ckan_data.csv")
u = "https://ds-ec2.scraperwiki.com/7c6jufm/bwbcvvxuynjbrx2/cgi-bin/csv/ckan_dataset_data.csv"
r = requests.get(u, stream = True)
if r.status_code == 200:
with open(path, 'wb') as f:
r.raw.decode_content = True
shutil.copyfileobj(r.raw, f)
# Read file and store in database.
try:
print "%s Fetching CKAN historical data." % I.item('prompt_bullet')
with open(path) as csvfile:
reader = csv.DictReader(csvfile)
records = []
for row in reader:
user = {
'metricid': 'ckan-number-of-users',
'period': row["date"],
'period_start_date': row["date"],
'period_end_date': row["date"],
'period_type': "d",
'value': row["number_of_users"]
}
orgs = {
'metricid': 'ckan-number-of-orgs',
'period': row["date"],
'period_start_date': row["date"],
'period_end_date': row["date"],
'period_type': "d",
'value': row["number_of_organizations"]
}
datasets = {
'metricid': 'ckan-number-of-datasets',
'period': row["date"],
'period_start_date': row["date"],
'period_end_date': row["date"],
'period_type': "d",
'value': row["number_of_datasets"]
}
records.append(user)
records.append(orgs)
records.append(datasets)
record_date = datetime.strptime(row["date"], "%Y-%m-%d")
if record_date == datecalc.period_start_date(date = record_date, period_type = "w"):
record_week = datecalc.get_period(date = record_date, period_type = "w")
#
# Adding weekly records to the
# record collection.
#
user["period"] = record_week
user["period_type"] = "w"
orgs["period"] = record_week
orgs["period_type"] = "w"
datasets["period"] = record_week
datasets["period_type"] = "w"
records.append(user)
records.append(orgs)
records.append(datasets)
#
# Store records in database.
#
print "%s Storing CKAN historical data (%s records)." % (I.item('prompt_bullet'), len(records))
S.StoreRecords(records, table = "funnel")
if test_data:
return records
except Exception as e:
print e
return False
print "%s Successfully collected historic CKAN records." % I.item('prompt_success')
return True