def stringify_items(items, val=None, attr=None):
str_items = []
for i in items:
if attr:
this_attr = getattr(i, attr)
else:
this_attr = i
if val:
str_item = u"<a href='{}'>{}</a> ({})".format(
this_attr.get_profile_url(),
this_attr.get_name(article="the"),
num_format(getattr(i, val), "export_val"))
else:
str_item = u"<a href='{}'>{}</a>".format(
this_attr.get_profile_url(),
this_attr.get_name(article="the"))
str_items.append(str_item)
if len(items) > 1:
str_items = u"{0} {1} {2}".format(", ".join(str_items[:-1]),
_("and"), str_items[-1])
else:
str_items = str_items[0]
return str_items
def intro(self):
all_paragraphs = []
''' Paragraph #2
'''
# get total world trade rank
this_yp = self.models.Yp.query.filter_by(year=self.year,
product=self.attr).first()
all_yp = self.models.Yp.query.filter_by(year = self.year) \
.filter(func.char_length(getattr(self.models.Yp, "{}_id".format(self.classification))) == len(self.attr.id)) \
.order_by(desc("export_val")).all()
if this_yp:
econ_rank = num_format(all_yp.index(this_yp) + 1,
"ordinal") if all_yp.index(this_yp) else ""
# get PCI ranking
p2 = _(u"%(product)s the %(economic_rank)s most traded product",
product=self.attr.get_name(verb=True),
economic_rank=econ_rank)
pci_rank = this_yp.pci_rank
if pci_rank:
pci_ranking_link = u"<a href='/en/rankings/hs92/'>{} (PCI)</a>".format(
_(u"Product Complexity Index"))
pci_rank = num_format(pci_rank,
"ordinal") if pci_rank > 1 else ""
p2 += u" "
p2 += _(
u"and the %(pci_rank)s most complex product according to the %(pci_ranking_link)s",
pci_rank=pci_rank,
pci_ranking_link=pci_ranking_link)
p2 += "."
all_paragraphs.append(p2)
''' Paragraph #3
'''
yop_exp = self.models.Yop.query.filter_by(
year=self.year, product=self.attr).filter(
self.models.Yop.export_val != None).order_by(
desc("export_val")).limit(5).all()
if yop_exp:
exporters = self.stringify_items(yop_exp, "export_val", "origin")
yop_imp = self.models.Yop.query.filter_by(
year=self.year, product=self.attr).filter(
self.models.Yop.import_val != None).order_by(
desc("import_val")).limit(5).all()
importers = self.stringify_items(yop_imp, "import_val", "origin")
p3 = _(
u"The top exporters of %(product)s are %(exporters)s. The top importers are %(importers)s.",
product=self.attr.get_name(),
exporters=exporters,
importers=importers)
all_paragraphs.append(p3)
''' Paragraph #4
'''
p4 = []
# find out which countries this product is their #1 export/import
countries_top = self.models.Yo.query.filter_by(year=self.year)
if len(self.attr.id) == 6:
countries_top_export = countries_top.filter_by(
top_export=self.attr.id
) if self.classification == "sitc" else countries_top.filter_by(
top_export_hs4=self.attr.id)
countries_top_import = countries_top.filter_by(
top_import=self.attr.id
) if self.classification == "sitc" else countries_top.filter_by(
top_import_hs4=self.attr.id)
elif len(self.attr.id) == 8:
countries_top_export = countries_top.filter_by(
top_export_hs6=self.attr.id)
countries_top_import = countries_top.filter_by(
top_import_hs6=self.attr.id)
countries_top_export = countries_top_export.order_by(
desc('export_val')).limit(10).all()
countries_top_import = countries_top_import.order_by(
desc('import_val')).limit(10).all()
if countries_top_export:
countries_top_export = self.stringify_items(
countries_top_export, None, "country")
p4.append(
_(u"%(product)s the top export of %(countries)s.",
product=self.attr.get_name(verb=True),
countries=countries_top_export))
if countries_top_import:
countries_top_import = self.stringify_items(
countries_top_import, None, "country")
p4.append(
_(u"%(product)s the top import of %(countries)s.",
product=self.attr.get_name(verb=True),
countries=countries_top_import))
if p4:
all_paragraphs = all_paragraphs + p4
''' Paragraph #5
'''
keywords = self.attr.get_keywords()
if keywords:
all_paragraphs.append(
_(u"%(product)s also known as %(keywords)s.",
product=self.attr.get_name(verb=True),
keywords=keywords))
''' Paragraph #1
'''
p1 = _(
u"%(product)s a %(product_id_length)s digit %(classification)s product.",
product=self.attr.get_name(verb=True),
product_id_length=len(self.attr.get_display_id()),
classification=self.classification.upper())
all_paragraphs.append(p1)
return all_paragraphs
def sections(self):
sections = []
''' Trade Section
'''
if self.attr.id == "xxwld":
export_tmap = Build("tree_map", "hs92", "export", self.attr, "all",
"show", self.year)
this_yo = self.models.Yo.query.filter_by(year=self.year).all()
export_val = sum([o.export_val for o in this_yo])
export_subtitle = _(
u"The total world trade in %(year)s was %(export_val)s.",
year=self.year,
export_val=num_format(export_val, "export_val"))
export_subtitle += u" "
past_yr = self.year - 5
past_yo = self.models.Yo.query.filter_by(year=past_yr).all()
growth_val = median([o.export_val_growth_pct_5 for o in this_yo])
chg = "increased" if growth_val >= 0 else "decreased"
export_subtitle += _(u"During the last five years exports have %(increased_decreased)s at a median annualized rate of %(change_rate)s%%, from $%(past_export_val)s in %(past_year)s to $%(current_export_val)s in %(current_year)s.",
increased_decreased=chg, change_rate=num_format(growth_val*100), \
past_export_val=num_format(sum([o.export_val for o in past_yo])), past_year=past_yr, current_export_val=num_format(export_val), current_year=self.year)
export_subtitle += u" "
top_exports = self.models.Yp.query.filter_by(
year=self.year,
hs92_id_len=6).order_by(desc("export_val")).limit(2).all()
export_subtitle += _(u"The most recent exports are led by %(top_export)s which represent %(top_export_pct)s%% of the total products exported, followed by %(second_export)s, which account for %(second_export_pct)s%%.",
top_export=top_exports[0].product.get_profile_link(), top_export_pct=num_format((top_exports[0].export_val/export_val)*100), \
second_export=top_exports[1].product.get_profile_link(), second_export_pct=num_format((top_exports[1].export_val/export_val)*100))
origins_tmap = Build("tree_map", "hs92", "import", self.attr,
"show", "all", self.year)
yo_exp = self.models.Yo.query.filter_by(year=self.year).order_by(
desc("export_val")).limit(5).all()
origin_list = self.stringify_items(yo_exp, "export_val", "country")
origin_subtitle = _(u"The top exporters globally are %(origins)s.",
origins=origin_list)
trade_section = {
"builds": [
{
"title": _(u"Exports"),
"build": export_tmap,
"subtitle": export_subtitle
},
{
"title": _(u"Origins"),
"build": origins_tmap,
"subtitle": origin_subtitle
},
]
}
else:
export_subtitle, import_subtitle, dest_subtitle, origin_subtitle = [
None
] * 4
export_tmap = Build("tree_map", "hs92", "export", self.attr, "all",
"show", self.year)
import_tmap = Build("tree_map", "hs92", "import", self.attr, "all",
"show", self.year)
yop_base = self.models.Yop.query.filter_by(year=self.year,
origin=self.attr,
hs92_id_len=6)
# get growth
past_yr = self.year - 5
past_yo = self.models.Yo.query.filter_by(
year=past_yr, country=self.attr).first()
this_yo = self.models.Yo.query.filter_by(
year=self.year, country=self.attr).first()
exp_val_stat = filter(lambda s: s["key"] == "export_val",
self.stats())
if exp_val_stat and this_yo:
exp_val_stat = exp_val_stat.pop()
export_subtitle = ""
if self.attr.id != "xxwld":
exp_rank = num_format(
exp_val_stat["rank"],
"ordinal") if exp_val_stat["rank"] > 1 else ""
export_subtitle += _(
u"In %(year)s %(country)s exported $%(export_val)s, making it the %(export_rank)s largest exporter in the world.",
year=self.year,
country=self.attr.get_name(article=True),
export_val=num_format(exp_val_stat["val"]),
export_rank=exp_rank)
export_subtitle += u" "
if past_yo and this_yo.export_val_growth_pct_5:
chg = "increased" if this_yo.export_val_growth_pct_5 >= 0 else "decreased"
export_subtitle += _(u"During the last five years the exports %(of_country)s have %(increased_decreased)s at an annualized rate of %(change_rate)s%%, from $%(past_export_val)s in %(past_year)s to $%(current_export_val)s in %(current_year)s.",
of_country=self.attr.get_name(article="of"), increased_decreased=chg, change_rate=num_format(this_yo.export_val_growth_pct_5*100), \
past_export_val=num_format(past_yo.export_val), past_year=past_yr, current_export_val=num_format(this_yo.export_val), current_year=self.year)
export_subtitle += u" "
top_exports = yop_base.order_by(
desc("export_val")).limit(2).all()
if top_exports:
# raise Exception(top_exports[0].product.get_profile_link(), num_format((top_exports[0].export_val/exp_val_stat["val"])*100), self.attr.get_name(article="of"), top_exports[1].product.get_profile_link(), num_format((top_exports[1].export_val/exp_val_stat["val"])*100))
export_subtitle += _(u"The most recent exports are led by %(top_export)s which represent %(top_export_pct)s%% of the total exports %(of_country)s, followed by %(second_export)s, which account for %(second_export_pct)s%%.",
top_export=top_exports[0].product.get_profile_link(), top_export_pct=num_format((top_exports[0].export_val/exp_val_stat["val"])*100), \
of_country=self.attr.get_name(article="of"), second_export=top_exports[1].product.get_profile_link(), second_export_pct=num_format((top_exports[1].export_val/exp_val_stat["val"])*100))
imp_val_stat = filter(lambda s: s["key"] == "import_val",
self.stats())
if imp_val_stat and this_yo:
imp_val_stat = imp_val_stat.pop()
import_subtitle = ""
if self.attr.id != "xxwld":
imp_rank = num_format(
imp_val_stat["rank"],
"ordinal") if imp_val_stat["rank"] > 1 else ""
import_subtitle += _(
u"In %(year)s %(country)s imported $%(import_val)s, making it the %(import_rank)s largest importer in the world.",
year=self.year,
country=self.attr.get_name(article=True),
import_val=num_format(imp_val_stat["val"]),
import_rank=imp_rank)
import_subtitle += u" "
if past_yo and this_yo.import_val_growth_pct_5:
chg = "increased" if this_yo.import_val_growth_pct_5 >= 0 else "decreased"
import_subtitle += _(u"During the last five years the imports %(of_country)s have %(increased_decreased)s at an annualized rate of %(change_rate)s%%, from $%(past_import_val)s in %(past_year)s to $%(current_import_val)s in %(current_year)s.",
of_country=self.attr.get_name(article="of"), increased_decreased=chg, change_rate=num_format(this_yo.import_val_growth_pct_5*100), \
past_import_val=num_format(past_yo.import_val), past_year=past_yr, current_import_val=num_format(this_yo.import_val), current_year=self.year)
import_subtitle += u" "
top_imports = yop_base.order_by(
desc("import_val")).limit(2).all()
if top_imports:
import_subtitle += _(u"The most recent imports are led by %(top_import)s which represent %(top_import_pct)s%% of the total imports %(of_country)s, followed by %(second_import)s, which account for %(second_import_pct)s%%.",
top_import=top_imports[0].product.get_profile_link(), top_import_pct=num_format((top_imports[0].import_val/imp_val_stat["val"])*100), \
of_country=self.attr.get_name(article="of"), second_import=top_imports[1].product.get_profile_link(), second_import_pct=num_format((top_imports[1].import_val/imp_val_stat["val"])*100))
dests_tmap = Build("tree_map", "hs92", "export", self.attr, "show",
"all", self.year)
yod_exp = self.models.Yod.query.filter_by(
year=self.year,
origin=self.attr).order_by(desc("export_val")).limit(5).all()
if yod_exp:
dest_list = self.stringify_items(yod_exp, "export_val", "dest")
dest_subtitle = _(
u"The top export destinations %(of_country)s are %(destinations)s.",
of_country=self.attr.get_name(article="of"),
destinations=dest_list)
origins_tmap = Build("tree_map", "hs92", "import", self.attr,
"show", "all", self.year)
yod_imp = self.models.Yod.query.filter_by(
year=self.year,
dest=self.attr).order_by(desc("export_val")).limit(5).all()
if yod_imp:
origin_list = self.stringify_items(yod_imp, "export_val",
"origin")
origin_subtitle = _(
u"The top import origins %(of_country)s are %(origins)s.",
of_country=self.attr.get_name(article="of"),
origins=origin_list)
# trade balance viz --
first_yo = self.models.Yo.query.filter_by(
year=available_years["hs92"][-1], country=self.attr).first()
tb_subtitle = ""
tb_build = Build("line", "hs92", "show", self.attr, "all", "all",
available_years["hs92"])
if first_yo:
net_trade = this_yo.export_val - this_yo.import_val
trade_balance = _("positive") if net_trade >= 0 else _(
"negative")
trade_direction = _("exports") if net_trade >= 0 else _(
"imports")
tb_subtitle = _(
u"As of %(year)s %(country)s had a %(positive_negative)s trade balance of $%(net_trade)s in net %(exports_imports)s.",
year=self.year,
country=self.attr.get_name(article=True),
positive_negative=trade_balance,
net_trade=num_format(abs(net_trade)),
exports_imports=trade_direction)
old_yo = self.models.Yo.query.filter_by(
year=available_years["hs92"][0],
country=self.attr).first()
if old_yo:
old_net_trade = old_yo.export_val - old_yo.import_val
old_trade_balance = _(
"positive") if old_net_trade >= 0 else _("negative")
old_trade_direction = _(
"exports") if old_net_trade >= 0 else _("imports")
is_diff = True if old_trade_balance != trade_balance else False
still_or_not = _(
"still") if old_trade_balance == trade_balance else ""
tb_subtitle += u" "
tb_subtitle += _(
u"As compared to their trade balance in %(year)s when they %(still)s had a %(positive_negative)s trade balance of $%(net_trade)s in net %(exports_imports)s.",
year=available_years["hs92"][0],
still=still_or_not,
positive_negative=old_trade_balance,
net_trade=num_format(abs(old_net_trade)),
exports_imports=old_trade_direction)
trade_section = {
"builds": [
{
"title": _(u"Exports"),
"build": export_tmap,
"subtitle": export_subtitle,
"tour": "This is just a test",
"seq": 5
},
{
"title": _(u"Imports"),
"build": import_tmap,
"subtitle": import_subtitle
},
{
"title": _(u"Trade Balance"),
"build": tb_build,
"subtitle": tb_subtitle
},
{
"title": _(u"Destinations"),
"build": dests_tmap,
"subtitle": dest_subtitle
},
{
"title": _(u"Origins"),
"build": origins_tmap,
"subtitle": origin_subtitle
},
]
}
sections.append(trade_section)
''' Product Space Section
'''
subtitle = False
if self.attr.id != "xxwld":
num_exports_w_rca = db.session.query(func.count(self.models.Yop.hs92_id)) \
.filter_by(year = self.year, origin = self.attr) \
.filter(self.models.Yop.export_rca >= 1) \
.filter(func.char_length(self.models.Yop.hs92_id)==6) \
.scalar()
this_attr_yo = attrs.Yo.query.filter_by(year=self.year,
country=self.attr).first()
if this_attr_yo:
eci = this_attr_yo.eci
eci_rank = this_attr_yo.eci_rank
if eci_rank:
subtitle = _(
u"The economy %(of_country)s has an Economic Complexity Index (ECI) of %(eci)s making it the %(eci_rank)s most complex country.",
of_country=self.attr.get_name(article="of"),
eci=num_format(eci),
eci_rank=num_format(eci_rank, "ordinal"))
subtitle += u" "
else:
subtitle = ""
subtitle += _(u"%(country)s exports %(num_of_exports)s products with revealed comparative advantage " \
u"(meaning that its share of global exports is larger than what " \
u"would be expected from the size of its export economy " \
u"and from the size of a product’s global market).",
country=self.attr.get_name(article=True), num_of_exports=num_exports_w_rca)
product_space = Build("network", "hs92", "export", self.attr, "all",
"show", self.year)
ps_text = _(
u"The product space is a network connecting products that are likely to be co-exported and can be used to predict the evolution of a country’s export structure."
)
if subtitle:
ps_text = u"{}</p><p>{}".format(ps_text, subtitle)
ps_section = {
"title":
_(u"Economic Complexity %(of_country)s",
of_country=self.attr.get_name(article="of")),
"builds": [{
"title": _(u"Product Space"),
"build": product_space,
"subtitle": ps_text,
"tour": "The product space...",
"seq": 6
}]
}
''' PGI Section
'''
if self.attr.id != "xxwld":
pgi_product_space = Build("network", "sitc", "pgi", self.attr,
"all", "show",
available_years["sitc"][-1])
subtitle = _(
"In this version of the product space products are colored according to their Product Gini Index, or PGI. The PGI of a product is the level of income inequality that we expect for the countries that export a product. For more information see: %(paper1)s and %(paper2)s.",
country=self.attr.get_name(article=True),
paper1=
"<a target='_blank' href='https://arxiv.org/abs/1505.07907'>Linking Economic Complexity, Institutions and Income Inequality</a>",
paper2=
"<a target='_blank' href='https://arxiv.org/abs/1701.03770'>The structural constraints of income inequality in Latin America</a>"
)
ps_section["builds"].append({
"title":
_(u"Complexity and Income Inequality"),
"build":
pgi_product_space,
"subtitle":
subtitle
})
''' ECI Ranking Section
'''
if self.attr.id == "xxwld":
line_rankings = Build(
"line", "sitc", "eci", "show", "all", "all",
[y for y in available_years["sitc"] if y >= 1964])
start_year = 1980
start_year = max(1964, start_year) if start_year != 1980 else 1964
year_range = self.year - start_year
subtitle = _(
"The Economic Complexity of each country visualized over the past %(year_range)s years.",
year_range=year_range)
ps_section["builds"].append({
"title":
_(u"Economic Complexity Ranking"),
"build":
line_rankings,
"subtitle":
subtitle
})
elif this_attr_yo and this_attr_yo.eci != None:
line_rankings = Build(
"line", "sitc", "eci", "show", self.attr, "all",
[y for y in available_years["sitc"] if y >= 1964])
start_year = earliest_data.get(self.attr.id, 1980)
start_year = max(1964, start_year) if start_year != 1980 else 1964
year_range = self.year - start_year
attr_yo_historic = attrs.Yo.query.filter_by(
country=self.attr).filter(attrs.Yo.year == start_year).first()
if attr_yo_historic and attr_yo_historic.eci_rank != None and this_attr_yo.eci_rank != None:
eci_delta = this_attr_yo.eci_rank - attr_yo_historic.eci_rank
inc_dec = _('increased') if eci_delta < 0 else _('decreased')
subtitle = _(
"The Economic Complexity ranking %(of_country)s has %(increased_or_decreased)s by %(rank_delta)s places over the past %(year_range)s years from %(old_eci)s in %(old_year)s to %(current_eci)s in %(current_year)s.",
of_country=self.attr.get_name(article="of"),
increased_or_decreased=inc_dec,
rank_delta=abs(eci_delta),
year_range=year_range,
old_eci=num_format(attr_yo_historic.eci_rank, "ordinal"),
old_year=start_year,
current_eci=num_format(this_attr_yo.eci_rank, "ordinal"),
current_year=self.year)
ps_section["builds"].append({
"title":
_(u"Economic Complexity Ranking"),
"build":
line_rankings,
"subtitle":
subtitle
})
sections.append(ps_section)
sections.append({
"title":
_(u"More on %(country)s from our other sites",
country=self.attr.get_name(article=True)),
"source":
"sisters"
})
''' DataViva
'''
# dv_section = make_dv_section(self)
# sections.append(dv_section)
''' Data USA
'''
if self.attr.id == "nausa":
us_section = make_us_section()
sections.append(us_section)
''' Data Africa
'''
if any(country[0] == self.attr.id
for country in data_africa_countries):
da_country = filter(lambda x: x[0] == self.attr.id,
data_africa_countries)
africa_section = make_africa_section(self, da_country[0])
sections.append(africa_section)
# raise Exception("found dataafrican country: {}".format(da_country[0]))
''' Pantheon
'''
pantheon_id = "all" if self.attr.id == "xxwld" else self.attr.id_2char
if pantheon_id:
if self.attr.id != "xxwld":
pantheon_id = pantheon_id.upper()
pantheon_section = make_pantheon_section(pantheon_id, self.attr)
sections.append(pantheon_section)
return sections
def stringify_items(items, val=None, attr=None):
str_items = []
for i in items:
if attr:
this_attr = getattr(i, attr)
else:
this_attr = i
if val:
str_item = u"<a href='{}'>{}</a> ({})".format(this_attr.get_profile_url(), this_attr.get_name(article="the"), num_format(getattr(i, val), "export_val"))
else:
str_item = u"<a href='{}'>{}</a>".format(this_attr.get_profile_url(), this_attr.get_name(article="the"))
str_items.append(str_item)
if len(items) > 1:
str_items = u"{0} {1} {2}".format(", ".join(str_items[:-1]), _("and"), str_items[-1])
else:
str_items = str_items[0]
return str_items
def intro(self):
all_paragraphs = []
''' Paragraph #1
'''
if self.attr.id == "xxwld":
export_val = num_format(
db.session.query(func.sum(
self.models.Yo.export_val)).filter_by(
year=self.year).first()[0], "export_val")
all_paragraphs.append(
_(u"The total world trade in %(year)s was %(export_val)s.",
year=self.year,
export_val=export_val))
exports = self.stringify_items(
self.models.Yp.query.filter_by(
year=self.year, hs92_id_len=6).order_by(
desc("export_val")).limit(10).all(), "export_val",
"product")
all_paragraphs.append(
_(u"The 10 most traded products by dollar amount are %(exports_list)s, using the 1992 revision of the HS (Harmonized System) classification.",
exports_list=exports))
origins = self.stringify_items(
self.models.Yo.query.filter_by(year=self.year).order_by(
desc("export_val")).limit(10).all(), "export_val",
"country")
all_paragraphs.append(
_(u"The top 10 exporting countries are %(origins_list)s.",
origins_list=origins))
# raise Exception(all_paragraphs[1])
else:
this_yo = self.models.Yo.query.filter_by(
year=self.year, country=self.attr).first()
all_yo = self.models.Yo.query.filter_by(year=self.year).order_by(
desc("export_val")).all()
if this_yo:
p1 = []
econ_rank = num_format(
all_yo.index(this_yo) +
1, "ordinal") if all_yo.index(this_yo) else ""
export_val = this_yo.export_val
import_val = this_yo.import_val
trade_balance = u"positive" if export_val > import_val else u"negative"
trade_delta = abs(export_val - import_val)
this_attr_yo = attrs.Yo.query.filter_by(
year=self.year, country=self.attr).first()
# eci_rank = this_attr_yo.eci_rank
formatted_vals = {
"export_val": export_val,
"import_val": import_val,
"trade_delta": trade_delta
}
formatted_vals = {
k: num_format(v)
for k, v in formatted_vals.items()
}
country_is = upperfirst(
self.attr.get_name(article=True, verb="is"))
p1.append(
_(u"%(country_is)s the %(econ_rank)s largest export economy in the world",
country_is=country_is,
econ_rank=econ_rank))
if this_attr_yo and this_attr_yo.eci_rank:
eci_rank = num_format(
this_attr_yo.eci_rank,
"ordinal") if this_attr_yo.eci_rank > 1 else ""
p1 = p1 + [
u" ",
_("and the %(eci_rank)s most complex economy according to the Economic Complexity Index (ECI).",
eci_rank=eci_rank), u" "
]
else:
p1.append(". ")
p1.append(
_(u"In %(year)s, %(country)s exported $%(export_val)s and imported $%(import_val)s, resulting in a %(positive_negative)s trade balance of $%(trade_delta)s.",
year=self.year,
country=self.attr.get_name(article=True),
export_val=formatted_vals["export_val"],
import_val=formatted_vals["import_val"],
positive_negative=trade_balance,
trade_delta=formatted_vals["trade_delta"]))
if this_attr_yo:
gdp = this_attr_yo.gdp
gdp_pc = this_attr_yo.gdp_pc_current_ppp or this_attr_yo.gdp_pc_current
if gdp and gdp_pc:
formatted_vals = {"gdp": gdp, "gdp_pc": gdp_pc}
formatted_vals = {
k: num_format(v)
for k, v in formatted_vals.items()
}
p1.append(u" ")
p1.append(
_(u"In %(year)s the GDP %(of_country)s was $%(gdp)s and its GDP per capita was $%(gdp_pc)s.",
year=self.year,
of_country=self.attr.get_name(article="of"),
gdp=formatted_vals['gdp'],
gdp_pc=formatted_vals['gdp_pc']))
all_paragraphs.append("".join(p1))
''' Paragraph #2
'''
yop_exp = self.models.Yop.query.filter_by(
year=self.year, origin=self.attr,
hs92_id_len=6).order_by(desc("export_val")).limit(5).all()
if yop_exp:
exports_list = self.stringify_items(yop_exp, "export_val",
"product")
yop_imp = self.models.Yop.query.filter_by(
year=self.year, origin=self.attr,
hs92_id_len=6).order_by(desc("import_val")).limit(5).all()
imports_list = self.stringify_items(yop_imp, "import_val",
"product")
p2 = _(
u"The top exports %(of_country)s are %(exports_list)s, using the 1992 revision of the HS (Harmonized System) classification. Its top imports are %(imports_list)s.",
of_country=self.attr.get_name(article="of"),
exports_list=exports_list,
imports_list=imports_list)
all_paragraphs.append(p2)
''' Paragraph #3
'''
yod_exp = self.models.Yod.query.filter_by(
year=self.year,
origin=self.attr).order_by(desc("export_val")).limit(5).all()
if yod_exp:
dest_list = self.stringify_items(yod_exp, "export_val", "dest")
yod_imp = self.models.Yod.query.filter_by(
year=self.year, dest=self.attr).order_by(
desc("export_val")).limit(5).all()
origin_list = self.stringify_items(yod_imp, "export_val",
"origin")
p3 = _(
u"The top export destinations %(of_country)s are %(destinations)s. The top import origins are %(origins)s.",
of_country=self.attr.get_name(article="of"),
destinations=dest_list,
origins=origin_list)
all_paragraphs.append(p3)
''' Paragraph #4
'''
land_borders = self.attr.borders()
maritime_borders = self.attr.borders(maritime=True)
if maritime_borders or land_borders:
if maritime_borders and not land_borders:
p4 = _(
u"%(country)s is an island and borders %(maritime_borders)s by sea.",
country=self.attr.get_name(article=True).title(),
maritime_borders=self.stringify_items(
maritime_borders))
if not maritime_borders and land_borders:
p4 = _(u"%(country)s borders %(land_borders)s.",
country=self.attr.get_name(article=True).title(),
land_borders=self.stringify_items(land_borders))
if maritime_borders and land_borders:
p4 = _(
u"%(country)s borders %(land_borders)s by land and %(maritime_borders)s by sea.",
country=self.attr.get_name(article=True).title(),
land_borders=self.stringify_items(land_borders),
maritime_borders=self.stringify_items(
maritime_borders))
all_paragraphs.append(p4)
return all_paragraphs
def intro(self):
all_paragraphs = []
''' Paragraph #2
'''
# get total world trade rank
this_yp = self.models.Yp.query.filter_by(year = self.year, product = self.attr).first()
all_yp = self.models.Yp.query.filter_by(year = self.year) \
.filter(func.char_length(getattr(self.models.Yp, "{}_id".format(self.classification))) == len(self.attr.id)) \
.order_by(desc("export_val")).all()
if this_yp:
econ_rank = num_format(all_yp.index(this_yp) + 1, "ordinal") if all_yp.index(this_yp) else ""
# get PCI ranking
p2 = _(u"%(product)s the %(economic_rank)s most traded product", product=self.attr.get_name(verb=True), economic_rank=econ_rank)
pci_rank = this_yp.pci_rank
if pci_rank:
pci_rank = num_format(pci_rank, "ordinal") if pci_rank > 1 else ""
p2 += _(u" and the %(pci_rank)s most complex product according to the <a href='/en/rankings/hs92/'>Product Complexity Index (PCI)</a>", pci_rank=pci_rank)
p2 += "."
all_paragraphs.append(p2)
''' Paragraph #3
'''
yop_exp = self.models.Yop.query.filter_by(year = self.year, product = self.attr).filter(self.models.Yop.export_val!=None).order_by(desc("export_val")).limit(5).all()
if yop_exp:
exporters = self.stringify_items(yop_exp, "export_val", "origin")
yop_imp = self.models.Yop.query.filter_by(year=self.year, product=self.attr).filter(self.models.Yop.import_val!=None).order_by(desc("import_val")).limit(5).all()
importers = self.stringify_items(yop_imp, "import_val", "origin")
p3 = _(u"The top exporters of %(product)s are %(exporters)s. The top importers are %(importers)s.",
product=self.attr.get_name(), exporters=exporters, importers=importers)
all_paragraphs.append(p3)
''' Paragraph #4
'''
p4 = []
# find out which countries this product is their #1 export/import
countries_top = self.models.Yo.query.filter_by(year = self.year)
if len(self.attr.id) == 6:
countries_top_export = countries_top.filter_by(top_export = self.attr.id) if self.classification == "sitc" else countries_top.filter_by(top_export_hs4 = self.attr.id)
countries_top_import = countries_top.filter_by(top_import = self.attr.id) if self.classification == "sitc" else countries_top.filter_by(top_import_hs4 = self.attr.id)
elif len(self.attr.id) == 8:
countries_top_export = countries_top.filter_by(top_export_hs6 = self.attr.id)
countries_top_import = countries_top.filter_by(top_import_hs6 = self.attr.id)
countries_top_export = countries_top_export.order_by(desc('export_val')).limit(10).all()
countries_top_import = countries_top_import.order_by(desc('import_val')).limit(10).all()
if countries_top_export:
countries_top_export = self.stringify_items(countries_top_export, None, "country")
p4.append(_(u"%(product)s the top export of %(countries)s.", product=self.attr.get_name(verb=True), countries=countries_top_export))
if countries_top_import:
countries_top_import = self.stringify_items(countries_top_import, None, "country")
p4.append(_(u"%(product)s the top import of %(countries)s.", product=self.attr.get_name(verb=True), countries=countries_top_import))
if p4:
all_paragraphs = all_paragraphs + p4
''' Paragraph #5
'''
keywords = self.attr.get_keywords()
if keywords:
all_paragraphs.append(_(u"%(product)s also known as %(keywords)s.", product=self.attr.get_name(verb=True), keywords=keywords))
''' Paragraph #1
'''
p1 = _(u"%(product)s a %(product_id_length)s digit %(classification)s product.", product=self.attr.get_name(verb=True), product_id_length=len(self.attr.get_display_id()), classification=self.classification.upper())
all_paragraphs.append(p1)
return all_paragraphs
def sections(self):
sections = []
''' Trade Section
'''
if self.attr.id == "xxwld":
export_tmap = Build("tree_map", "hs92", "export", self.attr, "all", "show", self.year)
this_yo = self.models.Yo.query.filter_by(year = self.year).all()
export_val = sum([o.export_val for o in this_yo])
export_subtitle = _(u"The total world trade in %(year)s was %(export_val)s. ", year=self.year, export_val=num_format(export_val, "export_val"))
past_yr = self.year - 5
past_yo = self.models.Yo.query.filter_by(year = past_yr).all()
growth_val = median([o.export_val_growth_pct_5 for o in this_yo])
chg = "increased" if growth_val >= 0 else "decreased"
export_subtitle += _(u"During the last five years exports have %(increased_decreased)s at a median annualized rate of %(change_rate)s%%, from $%(past_export_val)s in %(past_year)s to $%(current_export_val)s in %(current_year)s. ",
increased_decreased=chg, change_rate=num_format(growth_val*100), \
past_export_val=num_format(sum([o.export_val for o in past_yo])), past_year=past_yr, current_export_val=num_format(export_val), current_year=self.year)
top_exports = self.models.Yp.query.filter_by(year = self.year, hs92_id_len=6).order_by(desc("export_val")).limit(2).all()
export_subtitle += _(u"The most recent exports are led by %(top_export)s which represent %(top_export_pct)s%% of the total products exported, followed by %(second_export)s, which account for %(second_export_pct)s%%. ",
top_export=top_exports[0].product.get_profile_link(), top_export_pct=num_format((top_exports[0].export_val/export_val)*100), \
second_export=top_exports[1].product.get_profile_link(), second_export_pct=num_format((top_exports[1].export_val/export_val)*100))
origins_tmap = Build("tree_map", "hs92", "import", self.attr, "show", "all", self.year)
yo_exp = self.models.Yo.query.filter_by(year = self.year).order_by(desc("export_val")).limit(5).all()
origin_list = self.stringify_items(yo_exp, "export_val", "country")
origin_subtitle = _(u"The top exporters globally are %(origins)s.", origins=origin_list)
trade_section = {
"builds": [
{"title": _(u"Exports"), "build": export_tmap, "subtitle": export_subtitle, "tour":"This is just a test", "seq":5},
{"title": _(u"Origins"), "build": origins_tmap, "subtitle": origin_subtitle},
]
}
else:
export_subtitle, import_subtitle, dest_subtitle, origin_subtitle = [None]*4
export_tmap = Build("tree_map", "hs92", "export", self.attr, "all", "show", self.year)
import_tmap = Build("tree_map", "hs92", "import", self.attr, "all", "show", self.year)
yop_base = self.models.Yop.query.filter_by(year = self.year, origin = self.attr, hs92_id_len=6)
# get growth
past_yr = self.year - 5
past_yo = self.models.Yo.query.filter_by(year = past_yr, country = self.attr).first()
this_yo = self.models.Yo.query.filter_by(year = self.year, country = self.attr).first()
exp_val_stat = filter(lambda s: s["key"] == "export_val", self.stats())
if exp_val_stat:
exp_val_stat = exp_val_stat.pop()
export_subtitle = ""
if self.attr.id != "xxwld":
exp_rank = num_format(exp_val_stat["rank"], "ordinal") if exp_val_stat["rank"] > 1 else ""
export_subtitle += _(u"In %(year)s %(country)s exported $%(export_val)s, making it the %(export_rank)s largest exporter in the world. ",
year=self.year, country=self.attr.get_name(article=True), export_val=num_format(exp_val_stat["val"]), export_rank=exp_rank)
if past_yo:
chg = "increased" if this_yo.export_val_growth_pct_5 >= 0 else "decreased"
export_subtitle += _(u"During the last five years the exports %(of_country)s have %(increased_decreased)s at an annualized rate of %(change_rate)s%%, from $%(past_export_val)s in %(past_year)s to $%(current_export_val)s in %(current_year)s. ",
of_country=self.attr.get_name(article="of"), increased_decreased=chg, change_rate=num_format(this_yo.export_val_growth_pct_5*100), \
past_export_val=num_format(past_yo.export_val), past_year=past_yr, current_export_val=num_format(this_yo.export_val), current_year=self.year)
top_exports = yop_base.order_by(desc("export_val")).limit(2).all()
if top_exports:
# raise Exception(top_exports[0].product.get_profile_link(), num_format((top_exports[0].export_val/exp_val_stat["val"])*100), self.attr.get_name(article="of"), top_exports[1].product.get_profile_link(), num_format((top_exports[1].export_val/exp_val_stat["val"])*100))
export_subtitle += _(u"The most recent exports are led by %(top_export)s which represent %(top_export_pct)s%% of the total exports %(of_country)s, followed by %(second_export)s, which account for %(second_export_pct)s%%.",
top_export=top_exports[0].product.get_profile_link(), top_export_pct=num_format((top_exports[0].export_val/exp_val_stat["val"])*100), \
of_country=self.attr.get_name(article="of"), second_export=top_exports[1].product.get_profile_link(), second_export_pct=num_format((top_exports[1].export_val/exp_val_stat["val"])*100))
imp_val_stat = filter(lambda s: s["key"] == "import_val", self.stats())
if imp_val_stat:
imp_val_stat = imp_val_stat.pop()
import_subtitle = ""
if self.attr.id != "xxwld":
imp_rank = num_format(imp_val_stat["rank"], "ordinal") if imp_val_stat["rank"] > 1 else ""
import_subtitle += _(u"In %(year)s %(country)s imported $%(import_val)s, making it the %(import_rank)s largest importer in the world. ",
year=self.year, country=self.attr.get_name(article=True), import_val=num_format(imp_val_stat["val"]), import_rank=imp_rank)
if past_yo:
chg = "increased" if this_yo.import_val_growth_pct_5 >= 0 else "decreased"
import_subtitle += _(u"During the last five years the imports %(of_country)s have %(increased_decreased)s at an annualized rate of %(change_rate)s%%, from $%(past_import_val)s in %(past_year)s to $%(current_import_val)s in %(current_year)s. ",
of_country=self.attr.get_name(article="of"), increased_decreased=chg, change_rate=num_format(this_yo.import_val_growth_pct_5*100), \
past_import_val=num_format(past_yo.import_val), past_year=past_yr, current_import_val=num_format(this_yo.import_val), current_year=self.year)
top_imports = yop_base.order_by(desc("import_val")).limit(2).all()
if top_imports:
import_subtitle += _(u"The most recent imports are led by %(top_import)s which represent %(top_import_pct)s%% of the total imports %(of_country)s, followed by %(second_import)s, which account for %(second_import_pct)s%%.",
top_import=top_imports[0].product.get_profile_link(), top_import_pct=num_format((top_imports[0].import_val/imp_val_stat["val"])*100), \
of_country=self.attr.get_name(article="of"), second_import=top_imports[1].product.get_profile_link(), second_import_pct=num_format((top_imports[1].import_val/imp_val_stat["val"])*100))
dests_tmap = Build("tree_map", "hs92", "export", self.attr, "show", "all", self.year)
yod_exp = self.models.Yod.query.filter_by(year = self.year, origin = self.attr).order_by(desc("export_val")).limit(5).all()
if yod_exp:
dest_list = self.stringify_items(yod_exp, "export_val", "dest")
dest_subtitle = _(u"The top export destinations %(of_country)s are %(destinations)s.", of_country=self.attr.get_name(article="of"), destinations=dest_list)
origins_tmap = Build("tree_map", "hs92", "import", self.attr, "show", "all", self.year)
yod_imp = self.models.Yod.query.filter_by(year = self.year, dest = self.attr).order_by(desc("export_val")).limit(5).all()
if yod_imp:
origin_list = self.stringify_items(yod_imp, "export_val", "origin")
origin_subtitle = _(u"The top import origins %(of_country)s are %(origins)s.", of_country=self.attr.get_name(article="of"), origins=origin_list)
# trade balance viz --
first_yo = self.models.Yo.query.filter_by(year = available_years["hs92"][-1], country = self.attr).first()
tb_subtitle = ""
tb_build = Build("line", "hs92", "show", self.attr, "all", "all", available_years["hs92"])
if first_yo:
net_trade = this_yo.export_val - this_yo.import_val
trade_balance = _("positive") if net_trade >= 0 else _("negative")
trade_direction = _("exports") if net_trade >= 0 else _("imports")
tb_subtitle = _(u"As of %(year)s %(country)s had a %(positive_negative)s trade balance of $%(net_trade)s in net %(exports_imports)s.",
year=self.year, country=self.attr.get_name(article=True), positive_negative=trade_balance, net_trade=num_format(abs(net_trade)), exports_imports=trade_direction)
old_yo = self.models.Yo.query.filter_by(year = available_years["hs92"][0], country = self.attr).first()
if old_yo:
old_net_trade = old_yo.export_val - old_yo.import_val
old_trade_balance = _("positive") if old_net_trade >= 0 else _("negative")
old_trade_direction = _("exports") if old_net_trade >= 0 else _("imports")
is_diff = True if old_trade_balance != trade_balance else False
still_or_not = _("still") if old_trade_balance == trade_balance else ""
tb_subtitle += _(u" As compared to their trade balance in %(year)s when they %(still)s had a %(positive_negative)s trade balance of $%(net_trade)s in net %(exports_imports)s.",
year=available_years["hs92"][0], still=still_or_not, positive_negative=old_trade_balance, net_trade=num_format(abs(old_net_trade)), exports_imports=old_trade_direction)
trade_section = {
"builds": [
{"title": _(u"Exports"), "build": export_tmap, "subtitle": export_subtitle, "tour":"This is just a test", "seq":5},
{"title": _(u"Imports"), "build": import_tmap, "subtitle": import_subtitle},
{"title": _(u"Trade Balance"), "build": tb_build, "subtitle": tb_subtitle},
{"title": _(u"Destinations"), "build": dests_tmap, "subtitle": dest_subtitle},
{"title": _(u"Origins"), "build": origins_tmap, "subtitle": origin_subtitle},
]
}
sections.append(trade_section)
''' Product Space Section
'''
subtitle = False
if self.attr.id != "xxwld":
num_exports_w_rca = db.session.query(func.count(self.models.Yop.hs92_id)) \
.filter_by(year = self.year, origin = self.attr) \
.filter(self.models.Yop.export_rca >= 1) \
.filter(func.char_length(self.models.Yop.hs92_id)==6) \
.scalar()
this_attr_yo = attrs.Yo.query.filter_by(year = self.year, country = self.attr).first()
if this_attr_yo:
eci = this_attr_yo.eci
eci_rank = this_attr_yo.eci_rank
if eci_rank:
subtitle = _(u"The economy %(of_country)s has an Economic Complexity Index (ECI) of %(eci)s making it the %(eci_rank)s most complex country. ",
of_country=self.attr.get_name(article="of"), eci=num_format(eci), eci_rank=num_format(eci_rank, "ordinal"))
else:
subtitle = ""
subtitle += _(u"%(country)s exports %(num_of_exports)s products with revealed comparative advantage " \
u"(meaning that its share of global exports is larger than what " \
u"would be expected from the size of its export economy " \
u"and from the size of a product’s global market).",
country=self.attr.get_name(article=True), num_of_exports=num_exports_w_rca)
product_space = Build("network", "hs92", "export", self.attr, "all", "show", self.year)
ps_text = _(u"The product space is a network connecting products that are likely to be co-exported and can be used to predict the evolution of a country’s export structure.")
if subtitle:
ps_text = u"{}</p><p>{}".format(ps_text, subtitle)
ps_section = {
"title": _(u"Economic Complexity %(of_country)s", of_country=self.attr.get_name(article="of")),
"builds": [
{"title": _(u"Product Space"), "build": product_space, "subtitle": ps_text, "tour":"The product space...", "seq":6}
]
}
''' ECI Ranking Section
'''
if self.attr.id == "xxwld":
line_rankings = Build("line", "sitc", "eci", "show", "all", "all", [y for y in available_years["sitc"] if y >= 1964])
start_year = 1980
start_year = max(1964, start_year) if start_year != 1980 else 1964
year_range = self.year - start_year
subtitle = _("""The Economic Complexities of each country visualized over the past %(year_range)s years.""", year_range=year_range)
ps_section["builds"].append({"title": _(u"Economic Complexity Ranking"), "build": line_rankings, "subtitle": subtitle})
elif this_attr_yo and this_attr_yo.eci != None:
line_rankings = Build("line", "sitc", "eci", "show", self.attr, "all", [y for y in available_years["sitc"] if y >= 1964])
start_year = earliest_data.get(self.attr.id, 1980)
start_year = max(1964, start_year) if start_year != 1980 else 1964
year_range = self.year - start_year
attr_yo_historic = attrs.Yo.query.filter_by(country=self.attr).filter(attrs.Yo.year == start_year).first()
if attr_yo_historic.eci_rank:
eci_delta = this_attr_yo.eci_rank - attr_yo_historic.eci_rank
inc_dec = _('increased') if eci_delta < 0 else _('decreased')
subtitle = _("""The Economic Complexity ranking %(of_country)s has %(increased_or_decreased)s by %(rank_delta)s places
over the past %(year_range)s years from %(old_eci)s in %(old_year)s to %(current_eci)s in %(current_year)s.""",
of_country=self.attr.get_name(article="of"), increased_or_decreased=inc_dec,
rank_delta=abs(eci_delta), year_range=year_range, old_eci=num_format(attr_yo_historic.eci_rank, "ordinal"),
old_year=start_year, current_eci=num_format(this_attr_yo.eci_rank, "ordinal"), current_year=self.year)
ps_section["builds"].append({"title": _(u"Economic Complexity Ranking"), "build": line_rankings, "subtitle": subtitle})
sections.append(ps_section)
sections.append({
"title": _(u"More on %(country)s from our sister sites", country=self.attr.get_name(article=True)),
"source": "sisters"
})
''' DataViva
'''
if self.attr.id == "xxwld":
dv_munic_dest_iframe = "http://dataviva.info/apps/embed/tree_map/secex/all/all/all/bra/?size=import_val&controls=false"
dv_munic_dest_subtitle = _(u"""
This treemap shows the municipalities in Brazil that imported products internationally.<br /><br />
DataViva is a visualization tool that provides official data on trade, industries, and education throughout Brazil. If you would like more info or to create a similar site get in touch with us at <a href='mailto:[email protected]'>[email protected]</a>.
</p><p><a target='_blank' href='http://dataviva.info/apps/builder/tree_map/secex/all/all/all/bra/?size=import_val&controls=false'>Explore on DataViva <i class='fa fa-external-link'></i></a>
""", country=self.attr.get_name(article=True))
dv_section = {
"title": u"<a href='http://dataviva.info/' target='_blank'><img src='http://en.dataviva.info/static/img/nav/DataViva.png' /></a>",
"source": "dataviva",
"builds": [
{"title": _(u"Imports of Brazil by Municipality"), "iframe": dv_munic_dest_iframe, "subtitle": dv_munic_dest_subtitle, "tour":"Profile pages also contain visualizations from other websites created by member of the OEC team. The following are 2 embeded visualization from DataViva, a similar visualization platorm centered around Brazilian data.", "seq":7}
]
}
elif self.attr.id == "sabra":
dv_geo_map = "http://en.dataviva.info/apps/embed/geo_map/secex/all/all/all/bra/?color=export_val&controls=false&year=2013"
dv_wages = "http://en.dataviva.info/apps/embed/bar/rais/all/all/all/bra/?controls=false&year=2013"
dv_geo_map_subtitle = _(u"""
This map shows the exports of Brazil by state.<br /><br />
DataViva is a visualization tool that provides official data on trade, industries, and education throughout Brazil. If you would like more info or to create a similar site get in touch with us at <a href='mailto:[email protected]'>[email protected]</a>.
</p><p><a target='_blank' href='http://en.dataviva.info/apps/builder/geo_map/secex/all/all/all/bra/?color=export_val&controls=false&year=2013'>Explore on DataViva <i class='fa fa-external-link'></i></a>
""")
dv_wages_subtitle = _(u"""
This bar chart shows the wage distribution for the working population in Brazil.
</p><p><a target='_blank' href='http://en.dataviva.info/apps/builder/bar/rais/all/all/all/bra/?controls=false&year=2013'>Explore on DataViva <i class='fa fa-external-link'></i></a>
""")
dv_section = {
"title": u"<a href='http://dataviva.info/' target='_blank'><img src='http://en.dataviva.info/static/img/nav/DataViva.png' /></a>",
"source": "dataviva",
"builds": [
{"title": _(u"State Exports"), "iframe": dv_geo_map, "subtitle": dv_geo_map_subtitle, "tour":"Profile pages also contain visualizations from other websites created by member of the OEC team. The following are 2 embeded visualization from DataViva, a similar visualization platorm centered around Brazilian data.", "seq":7},
{"title": _(u"Wage Distribution"), "iframe": dv_wages, "subtitle": dv_wages_subtitle},
]
}
else:
dv_country_id = "asrus" if self.attr.id == "eurus" else self.attr.id
dv_munic_dest_iframe = "http://dataviva.info/apps/embed/tree_map/secex/all/all/{}/bra/?size=import_val&controls=false".format(dv_country_id)
dv_munic_origin_iframe = "http://dataviva.info/apps/embed/tree_map/secex/all/all/{}/bra/?size=export_val&controls=false".format(dv_country_id)
dv_munic_dest_subtitle = _(u"""
This treemap shows the municipalities in Brazil that imported products from %(country)s.<br /><br />
DataViva is a visualization tool that provides official data on trade, industries, and education throughout Brazil. If you would like more info or to create a similar site get in touch with us at <a href='mailto:[email protected]'>[email protected]</a>.
</p><p><a target='_blank' href='http://dataviva.info/apps/builder/tree_map/secex/all/all/%(dv_country_id)s/bra/?size=import_val&controls=false'>Explore on DataViva <i class='fa fa-external-link'></i></a>
""", country=self.attr.get_name(article=True), dv_country_id=dv_country_id)
dv_munic_origin_subtitle = _(u"""
This treemap shows the municipalities in Brazil that exported products to %(country)s.
</p><p><a target='_blank' href='http://dataviva.info/apps/builder/tree_map/secex/all/all/%(dv_country_id)s/bra/?size=export_val&controls=false'>Explore on DataViva <i class='fa fa-external-link'></i></a>
""", country=self.attr.get_name(article=True), dv_country_id=dv_country_id)
dv_section = {
"title": u"<a href='http://dataviva.info/' target='_blank'><img src='http://en.dataviva.info/static/img/nav/DataViva.png' /></a>",
"source": "dataviva",
"builds": [
{"title": _(u"Brazilian Municipalities that import from %(country)s", country=self.attr.get_name(article=True)), "iframe": dv_munic_dest_iframe, "subtitle": dv_munic_dest_subtitle, "tour":"Profile pages also contain visualizations from other websites created by member of the OEC team. The following are 2 embeded visualization from DataViva, a similar visualization platorm centered around Brazilian data.", "seq":7},
{"title": _(u"Brazilian Municipalities that export to %(country)s", country=self.attr.get_name(article=True)), "iframe": dv_munic_origin_iframe, "subtitle": dv_munic_origin_subtitle},
]
}
sections.append(dv_section)
''' Pantheon
'''
pantheon_id = "all" if self.attr.id == "xxwld" else self.attr.id_2char
if pantheon_id:
if self.attr.id != "xxwld":
pantheon_id = pantheon_id.upper()
pantheon_iframe_fields = "http://pantheon.media.mit.edu/treemap/country_exports/{}/all/-4000/2010/H15/pantheon/embed".format(pantheon_id)
pantheon_link_fields = "<a target='_blank' href='http://pantheon.media.mit.edu/treemap/country_exports/{}/all/-4000/2010/H15/pantheon/'>Explore on Pantheon <i class='fa fa-external-link'></i></a>".format(pantheon_id)
pantheon_iframe_cities = "http://pantheon.media.mit.edu/treemap/country_by_city/all/{}/-4000/2010/H15/pantheon/embed".format(pantheon_id)
pantheon_link_cities = "<a target='_blank' href='http://pantheon.media.mit.edu/treemap/country_by_city/{}/all/-4000/2010/H15/pantheon/'>Explore on Pantheon <i class='fa fa-external-link'></i></a>".format(pantheon_id)
pantheon_section = {
"title": "<a target='_blank' href='http://pantheon.media.mit.edu'><img src='http://pantheon.media.mit.edu/pantheon_logo.png' />",
"source": "pantheon",
"builds": [
{"title": _(u"Globally Famous People %(of_country)s", of_country=self.attr.get_name(article="of")),
"iframe": pantheon_iframe_fields,
"subtitle": _(u"This treemap shows the cultural exports %(of_country)s, as proxied by the production of globally famous historical characters.</p><p>%(pantheon_link)s", of_country=self.attr.get_name(article="of"), pantheon_link=pantheon_link_fields),
"tour":"Pantheon...", "seq":8
},
{"title": _(u"Globally Famous People %(of_country)s by City", of_country=self.attr.get_name(article="of")),
"iframe": pantheon_iframe_cities,
"subtitle": _(u"This treemap shows the cultural exports %(of_country)s by city, as proxied by the production of globally famous historical characters.</p><p>%(pantheon_link)s", of_country=self.attr.get_name(article="of"), pantheon_link=pantheon_link_cities)
},
]
}
sections.append(pantheon_section)
return sections
def intro(self):
all_paragraphs = []
''' Paragraph #1
'''
if self.attr.id == "xxwld":
export_val = num_format(db.session.query(func.sum(self.models.Yo.export_val)).filter_by(year = self.year).first()[0], "export_val")
all_paragraphs.append(_(u"The total world trade in %(year)s was %(export_val)s.", year=self.year, export_val=export_val))
exports = self.stringify_items(self.models.Yp.query.filter_by(year = self.year, hs92_id_len=6).order_by(desc("export_val")).limit(10).all(), "export_val", "product")
all_paragraphs.append(_(u"The 10 most traded products by dollar amount are %(exports_list)s, using the 1992 revision of the HS (Harmonized System) classification.", exports_list=exports))
origins = self.stringify_items(self.models.Yo.query.filter_by(year = self.year).order_by(desc("export_val")).limit(10).all(), "export_val", "country")
all_paragraphs.append(_(u"The top 10 exporting countries are %(origins_list)s.", origins_list=origins))
# raise Exception(all_paragraphs[1])
else:
this_yo = self.models.Yo.query.filter_by(year = self.year, country = self.attr).first()
all_yo = self.models.Yo.query.filter_by(year = self.year).order_by(desc("export_val")).all()
if this_yo:
p1 = []
econ_rank = num_format(all_yo.index(this_yo) + 1, "ordinal") if all_yo.index(this_yo) else ""
export_val = this_yo.export_val
import_val = this_yo.import_val
trade_balance = u"positive" if export_val > import_val else u"negative"
trade_delta = abs(export_val - import_val)
this_attr_yo = attrs.Yo.query.filter_by(year = self.year, country = self.attr).first()
# eci_rank = this_attr_yo.eci_rank
formatted_vals = {"export_val":export_val, "import_val":import_val, "trade_delta":trade_delta}
formatted_vals = {k: num_format(v) for k, v in formatted_vals.items()}
country_is = upperfirst(self.attr.get_name(article=True, verb="is"))
p1.append(_(u"%(country_is)s the %(econ_rank)s largest export economy in the world",
country_is=country_is, econ_rank=econ_rank))
if this_attr_yo and this_attr_yo.eci_rank:
eci_rank = num_format(this_attr_yo.eci_rank, "ordinal") if this_attr_yo.eci_rank > 1 else ""
p1.append(_(" and the %(eci_rank)s most complex economy according to the Economic Complexity Index (ECI). ", eci_rank=eci_rank))
else:
p1.append(". ")
p1.append(_(u"In %(year)s, %(country)s exported $%(export_val)s and imported $%(import_val)s, resulting in a %(positive_negative)s trade balance of $%(trade_delta)s. ",
year=self.year, country=self.attr.get_name(article=True), export_val=formatted_vals["export_val"], import_val=formatted_vals["import_val"], positive_negative=trade_balance, trade_delta=formatted_vals["trade_delta"]))
if this_attr_yo:
gdp = this_attr_yo.gdp
gdp_pc = this_attr_yo.gdp_pc_current_ppp or this_attr_yo.gdp_pc_current
formatted_vals = {"gdp":gdp, "gdp_pc":gdp_pc}
formatted_vals = {k: num_format(v) for k, v in formatted_vals.items()}
p1.append(_(u"In %(year)s the GDP %(of_country)s was $%(gdp)s and its GDP per capita was $%(gdp_pc)s.",
year=self.year, of_country=self.attr.get_name(article="of"), gdp=formatted_vals['gdp'], gdp_pc=formatted_vals['gdp_pc']))
all_paragraphs.append("".join(p1))
''' Paragraph #2
'''
yop_exp = self.models.Yop.query.filter_by(year = self.year, origin = self.attr, hs92_id_len=6).order_by(desc("export_val")).limit(5).all()
if yop_exp:
exports_list = self.stringify_items(yop_exp, "export_val", "product")
yop_imp = self.models.Yop.query.filter_by(year = self.year, origin = self.attr, hs92_id_len=6).order_by(desc("import_val")).limit(5).all()
imports_list = self.stringify_items(yop_imp, "import_val", "product")
p2 = _(u"The top exports %(of_country)s are %(exports_list)s, using the 1992 revision of the HS (Harmonized System) classification. Its top imports are %(imports_list)s.", of_country=self.attr.get_name(article="of"), exports_list=exports_list, imports_list=imports_list)
all_paragraphs.append(p2)
''' Paragraph #3
'''
yod_exp = self.models.Yod.query.filter_by(year = self.year, origin = self.attr).order_by(desc("export_val")).limit(5).all()
if yod_exp:
dest_list = self.stringify_items(yod_exp, "export_val", "dest")
yod_imp = self.models.Yod.query.filter_by(year = self.year, dest = self.attr).order_by(desc("export_val")).limit(5).all()
origin_list = self.stringify_items(yod_imp, "export_val", "origin")
p3 = _(u"The top export destinations %(of_country)s are %(destinations)s. The top import origins are %(origins)s.", of_country=self.attr.get_name(article="of"), destinations=dest_list, origins=origin_list)
all_paragraphs.append(p3)
''' Paragraph #4
'''
land_borders = self.attr.borders()
maritime_borders = self.attr.borders(maritime=True)
if maritime_borders or land_borders:
if maritime_borders and not land_borders:
p4 = _(u"%(country)s is an island and borders %(maritime_borders)s by sea.", country=self.attr.get_name(article=True).title(), maritime_borders=self.stringify_items(maritime_borders))
if not maritime_borders and land_borders:
p4 = _(u"%(country)s borders %(land_borders)s.", country=self.attr.get_name(article=True).title(), land_borders=self.stringify_items(land_borders))
if maritime_borders and land_borders:
p4 = _(u"%(country)s borders %(land_borders)s by land and %(maritime_borders)s by sea.", country=self.attr.get_name(article=True).title(), land_borders=self.stringify_items(land_borders), maritime_borders=self.stringify_items(maritime_borders))
all_paragraphs.append(p4)
return all_paragraphs
def sections(self):
sections = []
''' Trade Section
'''
export_subtitle, import_subtitle, dest_subtitle, origin_subtitle = [
None
] * 4
export_tmap = Build("tree_map", "hs92", "export", self.attr, "all",
"show", self.year)
import_tmap = Build("tree_map", "hs92", "import", self.attr, "all",
"show", self.year)
yop_base = self.models.Yop.query.filter_by(year=self.year,
origin=self.attr,
hs92_id_len=6)
# get growth
past_yr = self.year - 5
past_yo = self.models.Yo.query.filter_by(year=past_yr,
country=self.attr).first()
this_yo = self.models.Yo.query.filter_by(year=self.year,
country=self.attr).first()
exp_val_stat = filter(lambda s: s["key"] == "export_val", self.stats())
if exp_val_stat:
exp_val_stat = exp_val_stat.pop()
exp_rank = num_format(
exp_val_stat["rank"],
"ordinal") if exp_val_stat["rank"] > 1 else ""
export_subtitle = _(
u"In %(year)s %(country)s exported $%(export_val)s, making it the %(export_rank)s largest exporter in the world. ",
year=self.year,
country=self.attr.get_name(article=True),
export_val=num_format(exp_val_stat["val"]),
export_rank=exp_rank)
if past_yo:
chg = "increased" if this_yo.export_val_growth_pct_5 >= 0 else "decreased"
export_subtitle += _(u"During the last five years the exports %(of_country)s have %(increased_decreased)s at an annualized rate of %(change_rate)s%%, from $%(past_export_val)s in %(past_year)s to $%(current_export_val)s in %(current_year)s. ",
of_country=self.attr.get_name(article="of"), increased_decreased=chg, change_rate=num_format(this_yo.export_val_growth_pct_5*100), \
past_export_val=num_format(past_yo.export_val), past_year=past_yr, current_export_val=num_format(this_yo.export_val), current_year=self.year)
top_exports = yop_base.order_by(desc("export_val")).limit(2).all()
if top_exports:
# raise Exception(top_exports[0].product.get_profile_link(), num_format((top_exports[0].export_val/exp_val_stat["val"])*100), self.attr.get_name(article="of"), top_exports[1].product.get_profile_link(), num_format((top_exports[1].export_val/exp_val_stat["val"])*100))
export_subtitle += _(u"The most recent exports are led by %(top_export)s which represent %(top_export_pct)s%% of the total exports %(of_country)s, followed by %(second_export)s, which account for %(second_export_pct)s%%.",
top_export=top_exports[0].product.get_profile_link(), top_export_pct=num_format((top_exports[0].export_val/exp_val_stat["val"])*100), \
of_country=self.attr.get_name(article="of"), second_export=top_exports[1].product.get_profile_link(), second_export_pct=num_format((top_exports[1].export_val/exp_val_stat["val"])*100))
imp_val_stat = filter(lambda s: s["key"] == "import_val", self.stats())
if imp_val_stat:
imp_val_stat = imp_val_stat.pop()
imp_rank = num_format(
imp_val_stat["rank"],
"ordinal") if imp_val_stat["rank"] > 1 else ""
import_subtitle = _(
u"In %(year)s %(country)s imported $%(import_val)s, making it the %(import_rank)s largest importer in the world. ",
year=self.year,
country=self.attr.get_name(article=True),
import_val=num_format(imp_val_stat["val"]),
import_rank=imp_rank)
if past_yo:
chg = "increased" if this_yo.import_val_growth_pct_5 >= 0 else "decreased"
import_subtitle += _(u"During the last five years the imports %(of_country)s have %(increased_decreased)s at an annualized rate of %(change_rate)s%%, from $%(past_import_val)s in %(past_year)s to $%(current_import_val)s in %(current_year)s. ",
of_country=self.attr.get_name(article="of"), increased_decreased=chg, change_rate=num_format(this_yo.import_val_growth_pct_5*100), \
past_import_val=num_format(past_yo.import_val), past_year=past_yr, current_import_val=num_format(this_yo.import_val), current_year=self.year)
top_imports = yop_base.order_by(desc("import_val")).limit(2).all()
if top_imports:
import_subtitle += _(u"The most recent imports are led by %(top_import)s which represent %(top_import_pct)s%% of the total imports %(of_country)s, followed by %(second_import)s, which account for %(second_import_pct)s%%.",
top_import=top_imports[0].product.get_profile_link(), top_import_pct=num_format((top_imports[0].import_val/imp_val_stat["val"])*100), \
of_country=self.attr.get_name(article="of"), second_import=top_imports[1].product.get_profile_link(), second_import_pct=num_format((top_imports[1].import_val/imp_val_stat["val"])*100))
dests_tmap = Build("tree_map", "hs92", "export", self.attr, "show",
"all", self.year)
yod_exp = self.models.Yod.query.filter_by(
year=self.year,
origin=self.attr).order_by(desc("export_val")).limit(5).all()
if yod_exp:
dest_list = self.stringify_items(yod_exp, "export_val", "dest")
dest_subtitle = _(
u"The top export destinations %(of_country)s are %(destinations)s.",
of_country=self.attr.get_name(article="of"),
destinations=dest_list)
origins_tmap = Build("tree_map", "hs92", "import", self.attr, "show",
"all", self.year)
yod_imp = self.models.Yod.query.filter_by(
year=self.year,
dest=self.attr).order_by(desc("export_val")).limit(5).all()
if yod_imp:
origin_list = self.stringify_items(yod_imp, "export_val", "origin")
origin_subtitle = _(
u"The top import origins %(of_country)s are %(origins)s.",
of_country=self.attr.get_name(article="of"),
origins=origin_list)
# trade balance viz --
first_yo = self.models.Yo.query.filter_by(
year=available_years["hs92"][-1], country=self.attr).first()
tb_subtitle = ""
tb_build = Build("line", "hs92", "show", self.attr, "all", "all",
available_years["hs92"])
if first_yo:
net_trade = this_yo.export_val - this_yo.import_val
trade_balance = _("positive") if net_trade >= 0 else _("negative")
trade_direction = _("exports") if net_trade >= 0 else _("imports")
tb_subtitle = _(
u"As of %(year)s %(country)s had a %(positive_negative)s trade balance of $%(net_trade)s in net %(exports_imports)s.",
year=self.year,
country=self.attr.get_name(article=True),
positive_negative=trade_balance,
net_trade=num_format(abs(net_trade)),
exports_imports=trade_direction)
old_yo = self.models.Yo.query.filter_by(
year=available_years["hs92"][0], country=self.attr).first()
if old_yo:
old_net_trade = old_yo.export_val - old_yo.import_val
old_trade_balance = _("positive") if old_net_trade >= 0 else _(
"negative")
old_trade_direction = _(
"exports") if old_net_trade >= 0 else _("imports")
is_diff = True if old_trade_balance != trade_balance else False
still_or_not = _(
"still") if old_trade_balance == trade_balance else ""
tb_subtitle += _(
u" As compared to their trade balance in %(year)s when they %(still)s had a %(positive_negative)s trade balance of $%(net_trade)s in net %(exports_imports)s.",
year=available_years["hs92"][0],
still=still_or_not,
positive_negative=old_trade_balance,
net_trade=num_format(abs(old_net_trade)),
exports_imports=old_trade_direction)
trade_section = {
"builds": [
{
"title": _(u"Exports"),
"build": export_tmap,
"subtitle": export_subtitle,
"tour": "This is just a test",
"seq": 5
},
{
"title": _(u"Imports"),
"build": import_tmap,
"subtitle": import_subtitle
},
{
"title": _(u"Trade Balance"),
"build": tb_build,
"subtitle": tb_subtitle
},
{
"title": _(u"Destinations"),
"build": dests_tmap,
"subtitle": dest_subtitle
},
{
"title": _(u"Origins"),
"build": origins_tmap,
"subtitle": origin_subtitle
},
]
}
sections.append(trade_section)
''' Product Space Section
'''
num_exports_w_rca = db.session.query(func.count(self.models.Yop.hs92_id)) \
.filter_by(year = self.year, origin = self.attr) \
.filter(self.models.Yop.export_rca >= 1) \
.filter(func.char_length(self.models.Yop.hs92_id)==6) \
.scalar()
this_attr_yo = attrs.Yo.query.filter_by(year=self.year,
country=self.attr).first()
if this_attr_yo:
eci = this_attr_yo.eci
eci_rank = this_attr_yo.eci_rank
if eci_rank:
subtitle = _(
u"The economy %(of_country)s has an Economic Complexity Index (ECI) of %(eci)s making it the %(eci_rank)s most complex country. ",
of_country=self.attr.get_name(article="of"),
eci=num_format(eci),
eci_rank=num_format(eci_rank, "ordinal"))
else:
subtitle = ""
subtitle += _(u"%(country)s exports %(num_of_exports)s products with revealed comparative advantage " \
u"(meaning that its share of global exports is larger than what " \
u"would be expected from the size of its export economy " \
u"and from the size of a product’s global market).",
country=self.attr.get_name(article=True), num_of_exports=num_exports_w_rca)
else:
subtitle = ""
product_space = Build("network", "hs92", "export", self.attr, "all",
"show", self.year)
ps_text = _(
u"The product space is a network connecting products that are likely to be co-exported and can be used to predict the evolution of a country’s export structure."
)
ps_text = u"{}</p><p>{}".format(ps_text, subtitle)
ps_section = {
"title":
_(u"Economic Complexity %(of_country)s",
of_country=self.attr.get_name(article="of")),
"builds": [{
"title": _(u"Product Space"),
"build": product_space,
"subtitle": ps_text,
"tour": "The product space...",
"seq": 6
}]
}
''' ECI Ranking Section
'''
if this_attr_yo and this_attr_yo.eci != None:
line_rankings = Build(
"line", "sitc", "eci", "show", self.attr, "all",
[y for y in available_years["sitc"] if y >= 1964])
start_year = earliest_data.get(self.attr.id, 1980)
start_year = max(1964, start_year) if start_year != 1980 else 1964
year_range = self.year - start_year
attr_yo_historic = attrs.Yo.query.filter_by(
country=self.attr).filter(attrs.Yo.year == start_year).first()
if attr_yo_historic.eci_rank:
eci_delta = this_attr_yo.eci_rank - attr_yo_historic.eci_rank
inc_dec = _('increased') if eci_delta < 0 else _('decreased')
subtitle = _(
"""The Economic Complexity ranking %(of_country)s has %(increased_or_decreased)s by %(rank_delta)s places
over the past %(year_range)s years from %(old_eci)s in %(old_year)s to %(current_eci)s in %(current_year)s.""",
of_country=self.attr.get_name(article="of"),
increased_or_decreased=inc_dec,
rank_delta=abs(eci_delta),
year_range=year_range,
old_eci=num_format(attr_yo_historic.eci_rank, "ordinal"),
old_year=start_year,
current_eci=num_format(this_attr_yo.eci_rank, "ordinal"),
current_year=self.year)
ps_section["builds"].append({
"title":
_(u"Economic Complexity Ranking"),
"build":
line_rankings,
"subtitle":
subtitle
})
sections.append(ps_section)
sections.append({
"title":
_(u"More on %(country)s from our sister sites",
country=self.attr.get_name(article=True)),
"source":
"sisters"
})
''' DataViva
'''
if self.attr.id == "sabra":
dv_geo_map = "http://en.dataviva.info/apps/embed/geo_map/secex/all/all/all/bra/?color=export_val&controls=false&year=2013"
dv_wages = "http://en.dataviva.info/apps/embed/bar/rais/all/all/all/bra/?controls=false&year=2013"
dv_geo_map_subtitle = _(u"""
This map shows the exports of Brazil by state.<br /><br />
DataViva is a visualization tool that provides official data on trade, industries, and education throughout Brazil. If you would like more info or to create a similar site get in touch with us at <a href='mailto:[email protected]'>[email protected]</a>.
</p><p><a target='_blank' href='http://en.dataviva.info/apps/builder/geo_map/secex/all/all/all/bra/?color=export_val&controls=false&year=2013'>Explore on DataViva <i class='fa fa-external-link'></i></a>
""")
dv_wages_subtitle = _(u"""
This bar chart shows the wage distribution for the working population in Brazil.
</p><p><a target='_blank' href='http://en.dataviva.info/apps/builder/bar/rais/all/all/all/bra/?controls=false&year=2013'>Explore on DataViva <i class='fa fa-external-link'></i></a>
""")
dv_section = {
"title":
u"<a href='http://dataviva.info/' target='_blank'><img src='http://en.dataviva.info/static/img/nav/DataViva.png' /></a>",
"source":
"dataviva",
"builds": [
{
"title": _(u"State Exports"),
"iframe": dv_geo_map,
"subtitle": dv_geo_map_subtitle,
"tour":
"Profile pages also contain visualizations from other websites created by member of the OEC team. The following are 2 embeded visualization from DataViva, a similar visualization platorm centered around Brazilian data.",
"seq": 7
},
{
"title": _(u"Wage Distribution"),
"iframe": dv_wages,
"subtitle": dv_wages_subtitle
},
]
}
else:
dv_country_id = "asrus" if self.attr.id == "eurus" else self.attr.id
dv_munic_dest_iframe = "http://dataviva.info/apps/embed/tree_map/secex/all/all/{}/bra/?size=import_val&controls=false".format(
dv_country_id)
dv_munic_origin_iframe = "http://dataviva.info/apps/embed/tree_map/secex/all/all/{}/bra/?size=export_val&controls=false".format(
dv_country_id)
dv_munic_dest_subtitle = _(
u"""
This treemap shows the municipalities in Brazil that imported products from %(country)s.<br /><br />
DataViva is a visualization tool that provides official data on trade, industries, and education throughout Brazil. If you would like more info or to create a similar site get in touch with us at <a href='mailto:[email protected]'>[email protected]</a>.
</p><p><a target='_blank' href='http://dataviva.info/apps/builder/tree_map/secex/all/all/%(dv_country_id)s/bra/?size=import_val&controls=false'>Explore on DataViva <i class='fa fa-external-link'></i></a>
""",
country=self.attr.get_name(article=True),
dv_country_id=dv_country_id)
dv_munic_origin_subtitle = _(
u"""
This treemap shows the municipalities in Brazil that exported products to %(country)s.
</p><p><a target='_blank' href='http://dataviva.info/apps/builder/tree_map/secex/all/all/%(dv_country_id)s/bra/?size=export_val&controls=false'>Explore on DataViva <i class='fa fa-external-link'></i></a>
""",
country=self.attr.get_name(article=True),
dv_country_id=dv_country_id)
dv_section = {
"title":
u"<a href='http://dataviva.info/' target='_blank'><img src='http://en.dataviva.info/static/img/nav/DataViva.png' /></a>",
"source":
"dataviva",
"builds": [
{
"title":
_(u"Brazilian Municipalities that import from %(country)s",
country=self.attr.get_name(article=True)),
"iframe":
dv_munic_dest_iframe,
"subtitle":
dv_munic_dest_subtitle,
"tour":
"Profile pages also contain visualizations from other websites created by member of the OEC team. The following are 2 embeded visualization from DataViva, a similar visualization platorm centered around Brazilian data.",
"seq":
7
},
{
"title":
_(u"Brazilian Municipalities that export to %(country)s",
country=self.attr.get_name(article=True)),
"iframe":
dv_munic_origin_iframe,
"subtitle":
dv_munic_origin_subtitle
},
]
}
sections.append(dv_section)
''' Pantheon
'''
if self.attr.id_2char:
pantheon_iframe_fields = "http://pantheon.media.mit.edu/treemap/country_exports/{}/all/-4000/2010/H15/pantheon/embed".format(
self.attr.id_2char.upper())
pantheon_link_fields = "<a target='_blank' href='http://pantheon.media.mit.edu/treemap/country_exports/{}/all/-4000/2010/H15/pantheon/'>Explore on Pantheon <i class='fa fa-external-link'></i></a>".format(
self.attr.id_2char.upper())
pantheon_iframe_cities = "http://pantheon.media.mit.edu/treemap/country_by_city/all/{}/-4000/2010/H15/pantheon/embed".format(
self.attr.id_2char.upper())
pantheon_link_cities = "<a target='_blank' href='http://pantheon.media.mit.edu/treemap/country_by_city/{}/all/-4000/2010/H15/pantheon/'>Explore on Pantheon <i class='fa fa-external-link'></i></a>".format(
self.attr.id_2char.upper())
pantheon_section = {
"title":
"<a target='_blank' href='http://pantheon.media.mit.edu'><img src='http://pantheon.media.mit.edu/pantheon_logo.png' />",
"source":
"pantheon",
"builds": [
{
"title":
_(u"Globally Famous People %(of_country)s",
of_country=self.attr.get_name(article="of")),
"iframe":
pantheon_iframe_fields,
"subtitle":
_(u"This treemap shows the cultural exports %(of_country)s, as proxied by the production of globally famous historical characters.</p><p>%(pantheon_link)s",
of_country=self.attr.get_name(article="of"),
pantheon_link=pantheon_link_fields),
"tour":
"Pantheon...",
"seq":
8
},
{
"title":
_(u"Globally Famous People %(of_country)s by City",
of_country=self.attr.get_name(article="of")),
"iframe":
pantheon_iframe_cities,
"subtitle":
_(u"This treemap shows the cultural exports %(of_country)s by city, as proxied by the production of globally famous historical characters.</p><p>%(pantheon_link)s",
of_country=self.attr.get_name(article="of"),
pantheon_link=pantheon_link_cities)
},
]
}
sections.append(pantheon_section)
return sections
def sections(self):
sections = []
''' Trade Section
'''
if self.attr.id == "xxwld":
export_tmap = Build("tree_map", "hs92", "export", self.attr, "all", "show", self.year)
this_yo = self.models.Yo.query.filter_by(year = self.year).all()
export_val = sum([o.export_val for o in this_yo])
export_subtitle = _(u"The total world trade in %(year)s was %(export_val)s.", year=self.year, export_val=num_format(export_val, "export_val"))
export_subtitle += u" "
past_yr = self.year - 5
past_yo = self.models.Yo.query.filter_by(year = past_yr).filter(self.models.Yo.export_val.isnot(None)).all()
growth_val = median([o.export_val_growth_pct_5 for o in this_yo])
chg = "increased" if growth_val >= 0 else "decreased"
export_subtitle += _(u"During the last five years exports have %(increased_decreased)s at a median annualized rate of %(change_rate)s%%, from $%(past_export_val)s in %(past_year)s to $%(current_export_val)s in %(current_year)s.",
increased_decreased=chg, change_rate=num_format(growth_val*100), \
past_export_val=num_format(sum([o.export_val for o in past_yo])), past_year=past_yr, current_export_val=num_format(export_val), current_year=self.year)
export_subtitle += u" "
top_exports = self.models.Yp.query.filter_by(year = self.year, hs92_id_len=6).order_by(desc("export_val")).limit(2).all()
export_subtitle += _(u"The most recent exports are led by %(top_export)s which represent %(top_export_pct)s%% of the total products exported, followed by %(second_export)s, which account for %(second_export_pct)s%%.",
top_export=top_exports[0].product.get_profile_link(), top_export_pct=num_format((top_exports[0].export_val/export_val)*100), \
second_export=top_exports[1].product.get_profile_link(), second_export_pct=num_format((top_exports[1].export_val/export_val)*100))
origins_tmap = Build("tree_map", "hs92", "import", self.attr, "show", "all", self.year)
yo_exp = self.models.Yo.query.filter_by(year = self.year).order_by(desc("export_val")).limit(5).all()
origin_list = self.stringify_items(yo_exp, "export_val", "country")
origin_subtitle = _(u"The top exporters globally are %(origins)s.", origins=origin_list)
trade_section = {
"builds": [
{"title": _(u"Exports"), "build": export_tmap, "subtitle": export_subtitle},
{"title": _(u"Origins"), "build": origins_tmap, "subtitle": origin_subtitle},
]
}
else:
export_subtitle, import_subtitle, dest_subtitle, origin_subtitle = [None]*4
export_tmap = Build("tree_map", "hs92", "export", self.attr, "all", "show", self.year)
import_tmap = Build("tree_map", "hs92", "import", self.attr, "all", "show", self.year)
yop_base = self.models.Yop.query.filter_by(year = self.year, origin = self.attr, hs92_id_len=6)
# get growth
past_yr = self.year - 5
past_yo = self.models.Yo.query.filter_by(year = past_yr, country = self.attr).first()
this_yo = self.models.Yo.query.filter_by(year = self.year, country = self.attr).first()
exp_val_stat = filter(lambda s: s["key"] == "export_val", self.stats())
if exp_val_stat and this_yo:
exp_val_stat = exp_val_stat.pop()
export_subtitle = ""
if self.attr.id != "xxwld":
exp_rank = num_format(exp_val_stat["rank"], "ordinal") if exp_val_stat["rank"] > 1 else ""
export_subtitle += _(u"In %(year)s %(country)s exported $%(export_val)s, making it the %(export_rank)s largest exporter in the world.",
year=self.year, country=self.attr.get_name(article=True), export_val=num_format(exp_val_stat["val"]), export_rank=exp_rank)
export_subtitle += u" "
if past_yo and this_yo.export_val_growth_pct_5:
chg = "increased" if this_yo.export_val_growth_pct_5 >= 0 else "decreased"
export_subtitle += _(u"During the last five years the exports %(of_country)s have %(increased_decreased)s at an annualized rate of %(change_rate)s%%, from $%(past_export_val)s in %(past_year)s to $%(current_export_val)s in %(current_year)s.",
of_country=self.attr.get_name(article="of"), increased_decreased=chg, change_rate=num_format(this_yo.export_val_growth_pct_5*100), \
past_export_val=num_format(past_yo.export_val), past_year=past_yr, current_export_val=num_format(this_yo.export_val), current_year=self.year)
export_subtitle += u" "
top_exports = yop_base.order_by(desc("export_val")).limit(2).all()
if top_exports:
# raise Exception(top_exports[0].product.get_profile_link(), num_format((top_exports[0].export_val/exp_val_stat["val"])*100), self.attr.get_name(article="of"), top_exports[1].product.get_profile_link(), num_format((top_exports[1].export_val/exp_val_stat["val"])*100))
export_subtitle += _(u"The most recent exports are led by %(top_export)s which represent %(top_export_pct)s%% of the total exports %(of_country)s, followed by %(second_export)s, which account for %(second_export_pct)s%%.",
top_export=top_exports[0].product.get_profile_link(), top_export_pct=num_format((top_exports[0].export_val/exp_val_stat["val"])*100), \
of_country=self.attr.get_name(article="of"), second_export=top_exports[1].product.get_profile_link(), second_export_pct=num_format((top_exports[1].export_val/exp_val_stat["val"])*100))
imp_val_stat = filter(lambda s: s["key"] == "import_val", self.stats())
if imp_val_stat and this_yo:
imp_val_stat = imp_val_stat.pop()
import_subtitle = ""
if self.attr.id != "xxwld":
imp_rank = num_format(imp_val_stat["rank"], "ordinal") if imp_val_stat["rank"] > 1 else ""
import_subtitle += _(u"In %(year)s %(country)s imported $%(import_val)s, making it the %(import_rank)s largest importer in the world.",
year=self.year, country=self.attr.get_name(article=True), import_val=num_format(imp_val_stat["val"]), import_rank=imp_rank)
import_subtitle += u" "
if past_yo and this_yo.import_val_growth_pct_5:
chg = "increased" if this_yo.import_val_growth_pct_5 >= 0 else "decreased"
import_subtitle += _(u"During the last five years the imports %(of_country)s have %(increased_decreased)s at an annualized rate of %(change_rate)s%%, from $%(past_import_val)s in %(past_year)s to $%(current_import_val)s in %(current_year)s.",
of_country=self.attr.get_name(article="of"), increased_decreased=chg, change_rate=num_format(this_yo.import_val_growth_pct_5*100), \
past_import_val=num_format(past_yo.import_val), past_year=past_yr, current_import_val=num_format(this_yo.import_val), current_year=self.year)
import_subtitle += u" "
top_imports = yop_base.order_by(desc("import_val")).limit(2).all()
if top_imports:
import_subtitle += _(u"The most recent imports are led by %(top_import)s which represent %(top_import_pct)s%% of the total imports %(of_country)s, followed by %(second_import)s, which account for %(second_import_pct)s%%.",
top_import=top_imports[0].product.get_profile_link(), top_import_pct=num_format((top_imports[0].import_val/imp_val_stat["val"])*100), \
of_country=self.attr.get_name(article="of"), second_import=top_imports[1].product.get_profile_link(), second_import_pct=num_format((top_imports[1].import_val/imp_val_stat["val"])*100))
dests_tmap = Build("tree_map", "hs92", "export", self.attr, "show", "all", self.year)
yod_exp = self.models.Yod.query.filter_by(year = self.year, origin = self.attr).order_by(desc("export_val")).limit(5).all()
if yod_exp:
dest_list = self.stringify_items(yod_exp, "export_val", "dest")
dest_subtitle = _(u"The top export destinations %(of_country)s are %(destinations)s.", of_country=self.attr.get_name(article="of"), destinations=dest_list)
origins_tmap = Build("tree_map", "hs92", "import", self.attr, "show", "all", self.year)
yod_imp = self.models.Yod.query.filter_by(year = self.year, dest = self.attr).order_by(desc("export_val")).limit(5).all()
if yod_imp:
origin_list = self.stringify_items(yod_imp, "export_val", "origin")
origin_subtitle = _(u"The top import origins %(of_country)s are %(origins)s.", of_country=self.attr.get_name(article="of"), origins=origin_list)
# trade balance viz --
first_yo = self.models.Yo.query.filter_by(year = available_years["hs92"][-1], country = self.attr).first()
tb_subtitle = ""
tb_build = Build("line", "hs92", "show", self.attr, "all", "all", available_years["hs92"])
if first_yo:
net_trade = this_yo.export_val - this_yo.import_val
trade_balance = _("positive") if net_trade >= 0 else _("negative")
trade_direction = _("exports") if net_trade >= 0 else _("imports")
tb_subtitle = _(u"As of %(year)s %(country)s had a %(positive_negative)s trade balance of $%(net_trade)s in net %(exports_imports)s.",
year=self.year, country=self.attr.get_name(article=True), positive_negative=trade_balance, net_trade=num_format(abs(net_trade)), exports_imports=trade_direction)
old_yo = self.models.Yo.query.filter_by(year = available_years["hs92"][0], country = self.attr).first()
if old_yo:
old_net_trade = old_yo.export_val - old_yo.import_val
old_trade_balance = _("positive") if old_net_trade >= 0 else _("negative")
old_trade_direction = _("exports") if old_net_trade >= 0 else _("imports")
is_diff = True if old_trade_balance != trade_balance else False
still_or_not = _("still") if old_trade_balance == trade_balance else ""
tb_subtitle += u" "
tb_subtitle += _(u"As compared to their trade balance in %(year)s when they %(still)s had a %(positive_negative)s trade balance of $%(net_trade)s in net %(exports_imports)s.",
year=available_years["hs92"][0], still=still_or_not, positive_negative=old_trade_balance, net_trade=num_format(abs(old_net_trade)), exports_imports=old_trade_direction)
trade_section = {
"builds": [
{"title": _(u"Exports"), "build": export_tmap, "subtitle": export_subtitle, "tour":"This is just a test", "seq":5},
{"title": _(u"Imports"), "build": import_tmap, "subtitle": import_subtitle},
{"title": _(u"Trade Balance"), "build": tb_build, "subtitle": tb_subtitle},
{"title": _(u"Destinations"), "build": dests_tmap, "subtitle": dest_subtitle},
{"title": _(u"Origins"), "build": origins_tmap, "subtitle": origin_subtitle},
]
}
sections.append(trade_section)
''' Product Space Section
'''
subtitle = False
if self.attr.id != "xxwld":
num_exports_w_rca = db.session.query(func.count(self.models.Yop.hs92_id)) \
.filter_by(year = self.year, origin = self.attr) \
.filter(self.models.Yop.export_rca >= 1) \
.filter(func.char_length(self.models.Yop.hs92_id)==6) \
.scalar()
this_attr_yo = attrs.Yo.query.filter_by(year = self.year, country = self.attr).first()
if this_attr_yo:
eci = this_attr_yo.eci
eci_rank = this_attr_yo.eci_rank
if eci_rank:
subtitle = _(u"The economy %(of_country)s has an Economic Complexity Index (ECI) of %(eci)s making it the %(eci_rank)s most complex country.",
of_country=self.attr.get_name(article="of"), eci=num_format(eci), eci_rank=num_format(eci_rank, "ordinal"))
subtitle += u" "
else:
subtitle = ""
subtitle += _(u"%(country)s exports %(num_of_exports)s products with revealed comparative advantage " \
u"(meaning that its share of global exports is larger than what " \
u"would be expected from the size of its export economy " \
u"and from the size of a product’s global market).",
country=self.attr.get_name(article=True), num_of_exports=num_exports_w_rca)
product_space = Build("network", "hs92", "export", self.attr, "all", "show", self.year)
ps_text = _(u"The product space is a network connecting products that are likely to be co-exported and can be used to predict the evolution of a country’s export structure.")
if subtitle:
ps_text = u"{}</p><p>{}".format(ps_text, subtitle)
ps_section = {
"title": _(u"Economic Complexity %(of_country)s", of_country=self.attr.get_name(article="of")),
"builds": [
{"title": _(u"Product Space"), "build": product_space, "subtitle": ps_text, "tour":"The product space...", "seq":6}
]
}
''' PGI Section
'''
if self.attr.id != "xxwld":
pgi_product_space = Build("network", "sitc", "pgi", self.attr, "all", "show", available_years["sitc"][-1])
subtitle = _("In this version of the product space products are colored according to their Product Gini Index, or PGI. The PGI of a product is the level of income inequality that we expect for the countries that export a product. For more information see: %(paper1)s and %(paper2)s.", country=self.attr.get_name(article=True), paper1="<a target='_blank' href='https://arxiv.org/abs/1505.07907'>Linking Economic Complexity, Institutions and Income Inequality</a>", paper2="<a target='_blank' href='https://arxiv.org/abs/1701.03770'>The structural constraints of income inequality in Latin America</a>")
ps_section["builds"].append({"title": _(u"Complexity and Income Inequality"), "build": pgi_product_space, "subtitle": subtitle})
''' ECI Ranking Section
'''
if self.attr.id == "xxwld":
line_rankings = Build("line", "sitc", "eci", "show", "all", "all", [y for y in available_years["sitc"] if y >= 1964])
start_year = 1980
start_year = max(1964, start_year) if start_year != 1980 else 1964
year_range = self.year - start_year
subtitle = _("The Economic Complexity of each country visualized over the past %(year_range)s years.", year_range=year_range)
ps_section["builds"].append({"title": _(u"Economic Complexity Ranking"), "build": line_rankings, "subtitle": subtitle})
elif this_attr_yo and this_attr_yo.eci != None:
line_rankings = Build("line", "sitc", "eci", "show", self.attr, "all", [y for y in available_years["sitc"] if y >= 1964])
start_year = earliest_data.get(self.attr.id, 1980)
start_year = max(1964, start_year) if start_year != 1980 else 1964
year_range = self.year - start_year
attr_yo_historic = attrs.Yo.query.filter_by(country=self.attr).filter(attrs.Yo.year == start_year).first()
if attr_yo_historic and attr_yo_historic.eci_rank != None and this_attr_yo.eci_rank != None:
eci_delta = this_attr_yo.eci_rank - attr_yo_historic.eci_rank
inc_dec = _('increased') if eci_delta < 0 else _('decreased')
subtitle = _("The Economic Complexity ranking %(of_country)s has %(increased_or_decreased)s by %(rank_delta)s places over the past %(year_range)s years from %(old_eci)s in %(old_year)s to %(current_eci)s in %(current_year)s.",
of_country=self.attr.get_name(article="of"), increased_or_decreased=inc_dec,
rank_delta=abs(eci_delta), year_range=year_range, old_eci=num_format(attr_yo_historic.eci_rank, "ordinal"),
old_year=start_year, current_eci=num_format(this_attr_yo.eci_rank, "ordinal"), current_year=self.year)
ps_section["builds"].append({"title": _(u"Economic Complexity Ranking"), "build": line_rankings, "subtitle": subtitle})
sections.append(ps_section)
sections.append({
"title": _(u"More on %(country)s from our other sites", country=self.attr.get_name(article=True)),
"source": "sisters"
})
''' DataViva
'''
# dv_section = make_dv_section(self)
# sections.append(dv_section)
''' Data USA
'''
if self.attr.id == "nausa":
us_section = make_us_section()
sections.append(us_section)
''' Data Africa
'''
if any(country[0] == self.attr.id for country in data_africa_countries):
da_country = filter(lambda x:x[0]==self.attr.id, data_africa_countries)
africa_section = make_africa_section(self, da_country[0])
sections.append(africa_section)
# raise Exception("found dataafrican country: {}".format(da_country[0]))
''' Pantheon
'''
pantheon_id = "all" if self.attr.id == "xxwld" else self.attr.id_2char
if pantheon_id:
if self.attr.id != "xxwld":
pantheon_id = pantheon_id.upper()
pantheon_section = make_pantheon_section(pantheon_id, self.attr)
sections.append(pantheon_section)
return sections
