def include_extra(masterdata, year):
md_list = []
if year != get_cur_year():
print "SWITCHING years from ", get_cur_year(), " to ", year, ".\n"
set_regions(year)
set_cur_year(year)
for mdrec in masterdata:
md = OrderedDict()
md['Country_Name'] = mdrec['Country_Name']
md['Country_ISO2'] = str(
ISO_countries.ISO2_from_name(md['Country_Name'], csl))
md['Country_ISO3'] = str(
ISO_countries.ISO3_from_name(md['Country_Name'], csl))
md['Country_Region'] = str(
regions.find_region_from_ISO3(md['Country_ISO3'], regs))
mdreckeys = mdrec.keys()
for n in range(1, len(mdrec)):
currentkey = mdreckeys[n]
md[currentkey] = mdrec[currentkey]
#print "new ", currentkey, " value is ", md[currentkey]
md_list.append(md)
if (md['Country_ISO2'] == "-1"):
print " No ISO2 code found for ", md['Country_Name']
if (md['Country_ISO3'] == "-1"):
print " No ISO3 code found for ", md['Country_Name']
#if (mdrec['Country_Region'].strip().upper() != md['Country_Region'].strip().upper()):
#print "Region mismatch between region information in Tab 5 and Tab 1 for ", mdrec['Country_Name']
#print "Region info from Tab 5 is '", mdrec['Country_Region'],"' and Region info from Tab 1 is '", md['Country_Region'],"'.\n"
return md_list
def include_extra(goods_list, yer):
result = []
if yer != get_base_year():
set_sectors(yer)
set_regions(yer)
set_base_year(yer)
for good in goods_list:
g = OrderedDict()
g['Country_Name'] = good['Country_Name']
g['Country_ISO2'] = ISO_countries.ISO2_from_name(
g['Country_Name'], csl)
g['Country_ISO3'] = ISO_countries.ISO3_from_name(
g['Country_Name'], csl)
if (g['Country_ISO2'] == utility.get_default_error()):
print " No ISO2 was found for ", g['Country_Name']
if (g['Country_ISO3'] == utility.get_default_error()):
print " No ISO3 was found for ", g['Country_Name']
g['Country_Region'] = regions.find_region_from_ISO3(
g['Country_ISO3'], regs)
g['Good_Name'] = good['Good_Name']
g['Good_Sector'] = sectors.find_sector_from_name(g['Good_Name'], secs)
g['Child_Labor'] = ("Yes" if
(good['Child_Labor'] == present) else "No")
g['Forced_Labor'] = ("Yes" if
(good['Forced_Labor'] == present) else "No")
g['Forced_Child_Labor'] = ("Yes" if (good['Forced_Child_Labor']
== present) else "No")
result.append(g)
return result
def include_ISO(rlist):
result = []
for r in rlist:
row = OrderedDict()
cn = r['Country_Name']
row['Country_Name'] = cn
row['Country_ISO2'] = ISO_countries.ISO2_from_name(cn, isocountries)
row['Country_ISO3'] = ISO_countries.ISO3_from_name(cn, isocountries)
row['Country_Region'] = r['Country_Region']
result.append(row)
return result
def include_extra(masterdata, yr):
md_list = []
if (yr != get_current_year()):
print "SWITCHING years from ", get_current_year(), " to ", yr, ".\n"
set_regions(yr)
set_current_year(yr)
for mdrec in masterdata:
md = OrderedDict()
md['Country_Name'] = mdrec['Country_Name']
md['Country_ISO2'] = ISO_countries.ISO2_from_name(
md['Country_Name'], csl)
md['Country_ISO3'] = ISO_countries.ISO3_from_name(
md['Country_Name'], csl)
if (md['Country_ISO2'] == utility.get_default_error()):
print "There is no ISO2 for ", md['Country_Name']
if (md['Country_ISO3'] == utility.get_default_error()):
print "There is no ISO3 for ", md['Country_Name']
md['Country_Region'] = regions.find_region_from_ISO3(
md['Country_ISO3'], regs)
md[CWS + '_Age_Range'] = mdrec[CWS + '_Age_Range']
md[CWS + '_Total_Percentage_of_Working_Children'] = mdrec[
CWS + '_Total_Percentage_of_Working_Children']
md[CWS +
'_Total_Working_Population'] = mdrec[CWS +
'_Total_Working_Population']
md[CWS + '_Agriculture'] = mdrec[CWS + '_Agriculture']
md[CWS + '_Services'] = mdrec[CWS + '_Services']
md[CWS + '_Industry'] = mdrec[CWS + '_Industry']
md[ESAS + '_Year'] = mdrec[ESAS + '_Year']
md[ESAS + '_Age_Range'] = mdrec[ESAS + '_Age_Range']
md[ESAS + '_Percentage'] = mdrec[ESAS + '_Percentage']
md[CWAS + '_Year'] = mdrec[CWAS + '_Year']
md[CWAS + '_Age_Range'] = mdrec[CWAS + '_Age_Range']
md[CWAS + '_Total'] = mdrec[CWAS + '_Total']
md[UPCR + '_Year'] = mdrec[UPCR + '_Year']
md[UPCR + '_Rate'] = mdrec[UPCR + '_Rate']
md_list.append(md)
return md_list
def add_to_country_profiles(profiles):
results = []
cpkeys = profiles[0].keys()
for profile in profiles:
newrec = OrderedDict()
cn = profile['country'].encode('utf8')
newrec['Country_ISO3'] = ISO_countries.ISO3_from_name(cn, csl)
if (newrec['Country_ISO3'] == utility.get_default_error()):
print "Could not find ISO3 for ", cn
for n in range(0, len(cpkeys)):
cur = cpkeys[n]
newrec[cur] = profile[cur]
results.append(newrec)
return results
def get_master_data_from_name(name, mlist):
this_iso3 = ISO_countries.ISO3_from_name(name, csl)
stats = get_master_data_from_iso3(this_iso3, mlist)
return stats
import special_chars
import ISO_countries
from collections import OrderedDict
csv_2013_target = '../output/2013/extra/master_data_from_XL.csv'
xml_2013_target = '../output/2013/extra/master_data_from_XL.xml'
json_2013_target = '../output/2013/extra/master_data_from_XL.json'
csv_2014_target = '../output/2014/extra/master_data_from_XL.csv'
xml_2014_target = '../output/2014/extra/master_data_from_XL.xml'
json_2014_target = '../output/2014/extra/master_data_from_XL.json'
cur_year = 2014
regs = regions.build(cur_year)
csl = ISO_countries.build()
sp_chars = special_chars.build()
mappings = [
"Country_Name", "Assessment", "C_138_Ratified", "C_182_Ratified",
"Convention_on_the_Rights_of_the_Child_Ratified",
"CRC_Commercial_Sexual_Exploitation_of_Children_Ratified",
"CRC_Armed_Conflict_Ratified", "Palermo_Ratified",
"Minimum_Age_for_Work_Estabslished", "Minimum_Age_for_Work",
"Minimum_Age_for_Hazardous_Work_Estabslished",
"Minimum_Age_for_Hazardous_Work", "Compulsory_Education_Age_Established",
"Minimum_Age_for_Compulsory_Education",
"Free_Public_Education_Estabslished"
]
import utility import ISO_countries import special_chars from collections import OrderedDict json_2013_target = '../output/2013/extra/country_region_mappings.json' csv_2013_target = '../output/2013/extra/country_region_mappings.csv' xml_2013_target = '../output/2013/extra/country_region_mappings.xml' json_2014_target = '../output/2014/extra/country_region_mappings.json' csv_2014_target = '../output/2014/extra/country_region_mappings.csv' xml_2014_target = '../output/2014/extra/country_region_mappings.xml' mappings = ["Country_Name", "Country_Region"] # Info to be extracted from spreadsheet isocountries = ISO_countries.build() sp_chars = special_chars.build() def include_ISO(rlist): result = [] for r in rlist: row = OrderedDict() cn = r['Country_Name'] row['Country_Name'] = cn row['Country_ISO2'] = ISO_countries.ISO2_from_name(cn, isocountries) row['Country_ISO3'] = ISO_countries.ISO3_from_name(cn, isocountries) row['Country_Region'] = r['Country_Region'] result.append(row) return result def build(year):
import ISO_countries
import special_chars
from collections import OrderedDict
json_2013_target = '../output/2013/extra/country_region_mappings.json'
csv_2013_target = '../output/2013/extra/country_region_mappings.csv'
xml_2013_target = '../output/2013/extra/country_region_mappings.xml'
json_2014_target = '../output/2014/extra/country_region_mappings.json'
csv_2014_target = '../output/2014/extra/country_region_mappings.csv'
xml_2014_target = '../output/2014/extra/country_region_mappings.xml'
mappings = ["Country_Name",
"Country_Region"] # Info to be extracted from spreadsheet
isocountries = ISO_countries.build()
sp_chars = special_chars.build()
def include_ISO(rlist):
result = []
for r in rlist:
row = OrderedDict()
cn = r['Country_Name']
row['Country_Name'] = cn
row['Country_ISO2'] = ISO_countries.ISO2_from_name(cn, isocountries)
row['Country_ISO3'] = ISO_countries.ISO3_from_name(cn, isocountries)
row['Country_Region'] = r['Country_Region']
result.append(row)
return result
csv_2013_target = '../output/2013/extra/country_stats_from_XL.csv'
xml_2013_target = '../output/2013/extra/country_stats_from_XL.xml'
json_2013_target = '../output/2013/extra/country_stats_from_XL.json'
csv_2014_target = '../output/2014/extra/country_stats_from_XL.csv'
xml_2014_target = '../output/2014/extra/country_stats_from_XL.xml'
json_2014_target = '../output/2014/extra/country_stats_from_XL.json'
CWS = "Children_Work_Statistics"
ESAS = "Education_Statistics_Attendance_Statistics"
CWAS = "Children_Working_and_Studying_7-14_yrs_old"
UPCR = "UNESCO_Primary_Completion_Rate"
current_year = 2013
regs = regions.build(current_year)
csl = ISO_countries.build()
sp_chars = special_chars.build()
mappings = [ 'Country_Name',
CWS+'_Age_Range', CWS+'_Total_Percentage_of_Working_Children',
CWS+'_Total_Working_Population',
CWS+'_Agriculture', CWS+'_Services', CWS+'_Industry',
ESAS+'_Year', ESAS+'_Age_Range', ESAS+'_Percentage',
CWAS+'_Year', CWAS+'_Age_Range', CWAS+'_Total',
UPCR+'_Year', UPCR+'_Rate'
]
def get_current_year():
return current_year
def set_current_year(yr):
