def do_jobs():
print "jobs"
indID = "reliefweb_jobs"
indicator = {
'indID': indID,
'name': "Number of jobs on ReliefWeb at specified time",
'units': 'uno'
}
orm.Indicator(**indicator).save()
for country in countries:
url = "http://api.rwlabs.org/v0/job/list"
r = requests.get(url, data=get_job_query(country))
if 'data' not in r.json():
print r.json()
print country
continue
value = {
'region': country,
'period': orm.now()[:10], # we don't need sub-day precision.
'value': r.json()['data']['total'],
'dsID': dsID,
'indID': indID,
'source': url,
'is_number': True
}
orm.Value(**value).save()
def do_indicator(ind="566"):
baseurl = "http://mdgs.un.org/unsd/mdg/Handlers/ExportHandler.ashx?Type=Csv&Series=%s"
url = baseurl % ind
value_template['source'] = url
handle = dl.grab(url)
mt, = messytables.any.any_tableset(handle).tables
table = xypath.Table.from_messy(mt)
country_anchor = table.filter("Country").assert_one()
years = country_anchor.fill(xypath.RIGHT).filter(re.compile("\d\d\d\d"))
countries = country_anchor.fill(xypath.DOWN)
indicator = table.filter("Series").shift(xypath.DOWN).value
SEPARATOR = ', '
if SEPARATOR in indicator:
i_name = SEPARATOR.join(indicator.split(SEPARATOR)[:-1])
i_unit = indicator.split(SEPARATOR)[-1]
else:
i_name = indicator
i_unit = ''
value_template['indID'] = indicator
assert i_name
indicator = {'indID': indicator, 'name': i_name, 'units': i_unit}
orm.Indicator(**indicator).save()
# countries also gets some rubbish, but junction will ignore it.
for c_cell, y_cell, v_cell in countries.junction(years):
value = dict(value_template)
value['region'] = c_cell.value
value['period'] = y_cell.value
value['value'] = v_cell.value
orm.Value(**value).save()
def getstats(url, country="PLACEHOLDER"):
handle = dl.grab(url)
mts = messytables.any.any_tableset(handle)
saves = 0
for mt in mts.tables:
table = xypath.Table.from_messy(mt)
inds = table.filter(lambda b: b.x == 0 and "EPI" in b.value)
if not inds:
continue
assert len(inds) == 1
top, = table.filter(lambda b: 'to the top' in b.value)
value, = inds.junction(top)
for ind in inds:
split = split_ind(ind.value)
values_tosave = dict(value_template)
values_tosave['source'] = url
values_tosave['region'] = country
values_tosave['value'] = value[2].value
indicator = {
'indID': split['indID'],
'name': split['indID'],
'units': split['units']
}
orm.Indicator(**indicator).save()
values_tosave['indID'] = split['indID']
orm.Value(**values_tosave).save()
saves = saves + 1
if saves != 1:
print "huh, %d saves for %r" % (saves, url)
def main():
for sheet in spreadsheets:
print sheet
shortname = sheet.split('/')[-1].split('.')[0]
dsID = 'esa-unpd-' + shortname.replace('_', '-').split('-')[0]
year_text, = re.findall('\d{4}', dsID)
dataset = {
"dsID": dsID,
"last_updated": year_text,
"last_scraped": orm.now(),
"name": "esa-unpd"
}
orm.DataSet(**dataset).save()
indicator = {"indID": shortname, "name": shortname, "units": ''}
# we replace the indicator name, so not saving now.
# orm.Indicator(**indicator).save()
value_template = {"dsID": dsID, "is_number": True, "source": sheet}
raw = dl.grab(sheet)
mtables = messytables.any.any_tableset(raw)
names = [x.name for x in mtables.tables]
if 'ESTIMATES' in names:
mt = mtables['ESTIMATES']
else:
mt = mtables['PROPORTION-URBAN']
table = xypath.Table.from_messy(mt)
filestring = table.filter(
re.compile("File[^:]*:.*")).assert_one().value
indicator['name'], indicator['units'] = parse_file_string(filestring)
print indicator['name']
orm.Indicator(**indicator).save()
region_header = table.filter(
re.compile("Major area, region, country or area.*")).assert_one()
ccode_header = table.filter(re.compile("Country.code")).assert_one()
regions = region_header.fill(xypath.DOWN)
years = ccode_header.fill(xypath.RIGHT)
for region_cell, year_cell, value_cell in regions.junction(years):
value = dict(value_template)
value['indID'] = indicator['indID']
value['region'] = region_cell.value
year_value = year_cell.value
if isinstance(year_value, basestring) and '-' in year_value:
year1, _, year2 = year_value.partition('-')
year_count = int(year2) - int(year1)
assert year_count == 5
year_value = "%s/P%dY" % (year1, year_count)
value['period'] = year_value
value['value'] = value_cell.value
orm.Value(**value).save()
#print value
orm.session.commit()
def do_indicator(ind):
print "indicator:", ind
fh = dl.grab(baseurl % ind)
mt, = messytables.commas.CSVTableSet(fh).tables
mt_list = list(mt)
try:
headers = mt_list[0]
except IndexError:
headers = []
if len(headers) == 0:
print "Error getting headers from ", ind
raise RuntimeError("No header in {}".format(ind))
logging.warn("headers {!r}".format(headers))
rest = mt_list[1:]
for row in rest:
if len(row) == 0:
continue # skip empty row
rowdict = {x[0].value: x[1].value for x in zip(headers, row)}
try:
name, unit = units(rowdict['GHO (DISPLAY)'])
except Exception:
fh.seek(0)
print fh.read()
raise
indID = rowdict['GHO (CODE)']
for lookup in [
"SEX", "RESIDENCEAREATYPE", "EDUCATIONLEVEL", "WEALTHQUINTILE"
]:
lookup_code = lookup + " (CODE)"
lookup_name = lookup + " (DISPLAY)"
if lookup_code in rowdict: # header = "SEX (CODE)"
if rowdict[lookup_code]: # value != ""
indID = indID + "({}={})".format(lookup,
rowdict[lookup_code])
name = name + " - " + rowdict[lookup_name]
value_dict = {
"value": rowdict['Display Value'],
"period": rowdict['YEAR (DISPLAY)'],
"indID": indID,
"region": rowdict["COUNTRY (CODE)"],
"dsID": "athena-api",
"source": baseurl % ind,
"is_number": True
}
indicator_dict = {'indID': indID, 'name': name, 'units': unit}
orm.Indicator(**indicator_dict).save()
orm.Value(**value_dict).save()
def doit(targets, names, year):
# country_cells: we used to assert_one(), but sometimes there's two!
country_cells = table.filter('iso').fill(xypath.DOWN)
country_cells = country_cells - country_cells.filter('iso') # remove other
if not country_cells: print "no countries"
country_year_filter = country_cells.filter(
lambda b: b.shift(xypath.RIGHT).value == year)
if not country_year_filter: print "no countries for ", year
target_cells = table.filter(lambda b: b.value in targets)
if not target_cells: print "didn't find ", targets
value = {
'dsID': 'emdat',
'period': "%s/P1Y" % (year),
'source': url,
'is_number': True
}
dataset = {
'dsID': 'emdat',
'last_updated': None,
'last_scraped': orm.now(),
'name': 'EM-DAT'
}
orm.DataSet(**dataset).save()
for i, t in enumerate(targets):
indicator = {'indID': "emdat:%s" % t, 'name': names[i], 'units': 'uno'}
if t == 'total_dam':
indicator['units'] = ",000$ USD"
orm.Indicator(**indicator).save()
for cname, one_country_cells in itertools.groupby(country_year_filter,
lambda b: b.value):
value['region'] = cname
one_country_bag = xypath.Bag.from_list(one_country_cells, name=cname)
for target_cell in target_cells:
j = one_country_bag.junction(target_cell)
value['indID'] = 'emdat:%s' % target_cell.value
value['value'] = sum(int(x[2].value) for x in j)
orm.Value(**value).save()
print value
orm.session.commit()
def doit():
# country_cells: we used to assert_one(), but sometimes there's two!
dataset = {
'dsID': 'emdat',
'last_updated': None,
'last_scraped': orm.now(),
'name': 'EM-DAT'
}
orm.DataSet(**dataset).save()
for i, t in enumerate(targets):
indicator = {'indID': "emdat:%s" % t, 'name': names[i], 'units': 'uno'}
if t == 'total_damage':
indicator['units'] = ",000$ USD"
orm.Indicator(**indicator).save()
for country in country_list(): # TODO country_list
print country
raw = dl.grab(url.format(country))
m_tables = messytables.any.any_tableset(raw)
mt, = m_tables.tables
table = xypath.Table.from_messy(mt)
yr = table.filter('year').assert_one()
years = yr.fill(xypath.DOWN)
cats = yr.fill(xypath.RIGHT)
for year, cat, value in years.junction(cats):
value = {
'dsID': 'emdat',
'region': country,
'indID': 'emdat:{}'.format(cat.value),
'period': '{}/P1Y'.format(year.value),
'value': value.value,
'source': url,
'is_number': True
}
orm.Value(**value).save()
orm.session.commit()
def do_products():
for product in ocha_products:
print product
niceproduct = product.replace(" ", "_")
indID = "reliefweb_" + niceproduct
indicator = {
'indID': indID,
'name':
"Number of ReliefWeb reports flagged with ocha_product: %s" %
product,
'units': 'uno'
}
orm.Indicator(**indicator).save()
for country in countries:
for year in range(1990, 2014):
params = dict()
params['PRODUCT'] = product
params['COUNTRY'] = country
params['FROM'] = 1000 * yeartotimestamp(year)
params['TO'] = 1000 * yeartotimestamp(year + 1) - 1
url = "http://api.rwlabs.org/v0/report/list"
r = requests.get(url, data=get_product_query(**params))
if 'data' not in r.json():
print r.json()
print country
continue
value = {
'region': country,
'period': str(year),
'value': r.json()['data']['total'],
'dsID': dsID,
'indID': indID,
'source': url,
'is_number': True
}
orm.Value(**value).save()
def do_indicator(ind):
fh = dl.grab(baseurl % ind)
mt, = messytables.commas.CSVTableSet(fh).tables
mt_list = list(mt)
headers = mt_list[0]
if len(headers) == 0:
print ind
exit()
rest = mt_list[1:]
for row in rest:
if len(row) == 0:
continue # skip empty row
rowdict = {x[0].value: x[1].value for x in zip(headers, row)}
name, unit = units(rowdict['GHO (DISPLAY)'])
if 'SEX (CODE)' in rowdict:
indID = rowdict['GHO (CODE)'] + "-" + rowdict['SEX (CODE)']
name = name + " - " + rowdict['SEX (DISPLAY)']
else:
indID = rowdict['GHO (CODE)']
value_dict = {
"value": rowdict['Display Value'],
"period": rowdict['YEAR (DISPLAY)'],
"indID": indID,
"region": rowdict["COUNTRY (CODE)"],
"dsID": "athena-api",
"source": baseurl % ind,
"is_number": True
}
indicator_dict = {'indID': indID, 'name': name, 'units': unit}
orm.Indicator(**indicator_dict).save()
orm.Value(**value_dict).save()
print value_dict
DataSet: dsID, last_updated, last_scraped, name
Indicator: indID, name, units
"""
dataset = {'dsID': 'wikipedia',
'last_updated': None, # TODO
'last_scraped': orm.now(),
'name': 'Wikipedia'}
orm.DataSet(**dataset).save()
for h in headers:
indicator = {'indID': 'wikipedia:' + h,
'name': 'Wikipedia: ' + h,
'units': 'url'}
orm.Indicator(**indicator).save()
value_template = {'dsID': 'wikipedia',
'period': None,
'is_number': False}
def exact_match(level, header, country):
matches = [x.lower() for x in country[level] if x == header]
if len(matches) > 1:
print matches, "\n\n\n\n"
if matches:
return matches[0]
def partial_match(level, header, country):
def save_indicator():
indicator = {"indID": INDID, "name": IND_NAME, "units": "count"}
orm.Indicator(**indicator).save()
for reg in regions:
j = requests.get(baseindexurl % reg).json()
for country in j['Countries']:
yield {
'region': country['Code'],
'value':
baseleafurl % (country['Code'], country['OfficialName'])
}
print list(accuweather())
orm.DataSet(dsID="accuweather",
last_updated=None,
last_scraped=orm.now(),
name="Accuweather").save()
orm.Indicator(indID="accuweather_url", name="AccuWeather URL", units="").save()
valuetemplate = {
'dsID': 'accuweather',
'indID': 'accuweather_url',
'period': None,
'source': 'http://www.accuweather.com'
}
for datarow in accuweather():
olap_row = dict(valuetemplate)
olap_row.update(datarow)
orm.Value(**olap_row).save()
}
indicators = [{
'indID': 'm49-name',
'name': 'm49-name',
'units': 'string'
}, {
'indID': 'm49-num',
'name': 'm49-num',
'units': 'string'
}]
orm.DataSet(**dataset).save()
for x in indicators:
orm.Indicator(**x).save()
mt = messytables.HTMLTableSet(fh)
mt_prune = [x for x in mt.tables if len(list(x)) > 200]
assert len(mt_prune) == 1
gb = False
for messy in mt_prune:
table = xypath.Table.from_messy(messy)
alpha_code_header = table.filter(
contains_string("ISO ALPHA-3")).assert_one()
country_header = table.filter(contains_string("or area name")).assert_one()
num_code_header = table.filter(contains_string("Numerical")).assert_one()
countries = country_header.fill(xypath.DOWN)
num_code_header = countries.shift(x=-1)
alpha_j = alpha_code_header.junction(countries)
