def sections(self):
sections = []
''' Trade Section
'''
trade_section = {
"title":
_(u"%(product_name)s Trade.", product_name=self.attr.get_name()),
"builds": []
}
exporters = Build("tree_map", self.classification, "export", "show",
"all", self.attr, self.year)
exporters_subtitle = _(
u"This treemap shows the share of countries that export %(product)s.",
product=self.attr.get_name())
trade_section["builds"].append({
"title": u"Exporters",
"build": exporters,
"subtitle": exporters_subtitle
})
importers = Build("tree_map", self.classification, "import", "show",
"all", self.attr, self.year)
importers_subtitle = _(
u"This treemap shows the share of countries that import %(product)s.",
product=self.attr.get_name())
trade_section["builds"].append({
"title": u"Importers",
"build": importers,
"subtitle": importers_subtitle
})
rings = Build("rings", self.classification, "export", "all", "all",
self.attr, self.year)
rings_subtitle = _(
u"This visualization shows products that are likely to be exported by countries that export %(product)s.",
product=self.attr.get_name())
trade_section["builds"].append({
"title": u"Product Connections",
"build": rings,
"subtitle": rings_subtitle
})
sections.append(trade_section)
sections.append({
"title":
_(u"More on %(country)s from our other sites",
country=self.attr.get_name(article=True)),
"source":
"sisters"
})
''' DataViva Section
'''
if self.classification == "hs92":
dv_section = make_dv_section(self)
sections.append(dv_section)
return sections
def sections(self):
sections = []
''' Trade Section
'''
trade_section = {
"title": _(u"%(product_name)s Trade.", product_name=self.attr.get_name()),
"builds": []
}
exporters = Build("tree_map", self.classification, "export", "show", "all", self.attr, self.year)
exporters_subtitle = _(u"This treemap shows the share of countries that export %(product)s.", product=self.attr.get_name())
trade_section["builds"].append({"title": u"Exporters", "build": exporters, "subtitle": exporters_subtitle})
importers = Build("tree_map", self.classification, "import", "show", "all", self.attr, self.year)
importers_subtitle = _(u"This treemap shows the share of countries that import %(product)s.", product=self.attr.get_name())
trade_section["builds"].append({"title": u"Importers", "build": importers, "subtitle": importers_subtitle})
rings = Build("rings", self.classification, "export", "all", "all", self.attr, self.year)
rings_subtitle = _(u"This visualization shows products that are likely to be exported by countries that export %(product)s.", product=self.attr.get_name())
trade_section["builds"].append({"title": u"Product Connections", "build": rings, "subtitle": rings_subtitle})
sections.append(trade_section)
sections.append({
"title": _(u"More on %(country)s from our other sites", country=self.attr.get_name(article=True)),
"source": "sisters"
})
''' DataViva Section
'''
if self.classification == "hs92":
dv_section = make_dv_section(self)
sections.append(dv_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).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:
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:
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:
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:
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:
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)
''' 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 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:
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:
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:
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:
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}
]
}
''' 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:
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)
''' 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
