Skip to content

Lead the landing page with how the models connect #193

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
vahid-ahmadi merged 1 commit into from
Aug 26, 2026
Merged

Lead the landing page with how the models connect #193

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
133 changes: 0 additions & 133 deletions economy/build.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -12,7 +12,6 @@

ROOT = Path(__file__).resolve().parents[1]
PAGE = ROOT / "economy" / "index.html"
HOME_PAGE = ROOT / "index.html"
US_PAGE = ROOT / "economy" / "us" / "index.html"


Expand Down Expand Up @@ -443,135 +442,6 @@ def replace(html: str, name: str, value: str) -> str:
return updated


def home_uk_now() -> str:
"""Homepage 'UK at a glance' table: outturns beside next-open forecasts."""
gdp = load("uk_gdp_cvm")
cpi = load("uk_cpi_yoy")
unemployment = load("uk_unemployment_rate")
forecast = json.loads(
(ROOT / "papers" / "boe-svar" / "figures" / "current_forecast.json").read_text()
)
# Archived round file keeps its original name; the satellite's display
# name is "svar-unemployment satellite".
unemp_round = json.loads(
(ROOT / "forecasts" / "rounds" / "2026-07-28" / "okun-unemployment.json").read_text()
)

growth = gdp_growth(gdp)
g_now = growth[-1]
c_now = latest(cpi)
u_now = latest(unemployment)

def next_open(fc: dict, variable: str, last_observed: str) -> tuple[str, dict]:
for period, values in fc.items():
if period > last_observed and variable in values:
return period, values[variable]
period = list(fc)[-1]
return period, fc[period][variable]

g_period, g_fc = next_open(forecast["forecast"], "gdp", g_now["period"])
c_period, c_fc = next_open(forecast["forecast"], "cpi", c_now["period"])
u_period, u_fc = next_open(unemp_round["forecast"], "unemployment", u_now["period"])

def rng(fc: dict) -> str:
return (f'<br><small class="glance-range">68% range '
f"{fmt(fc['lo68'])}%–{fmt(fc['hi68'])}%</small>")

caption = (
"ONS outturns (as of "
f"{max(gdp['vintage'], cpi['vintage'], unemployment['vintage'])}) beside "
'archived <a href="/forecasts">forecast rounds</a>. '
'<a href="/economy">Full horizon &rarr;</a>'
)
def row(name, unit, out_v, out_p, fc_v, fc_p, fc_extra):
return (
' <div class="glance-row">\n'
f' <span class="g-name">{name} <small>{unit}</small></span>\n'
f' <span class="g-cell"><strong>{out_v}</strong> <span class="mono">{out_p}</span></span>\n'
' <span class="g-arrow">&rarr;</span>\n'
f' <span class="g-cell"><strong>{fc_v}</strong> <span class="mono">{fc_p}</span><small>{fc_extra}</small></span>\n'
" </div>"
)

def rng(fc: dict) -> str:
return f"68% range {fmt(fc['lo68'])}%\u2013{fmt(fc['hi68'])}%"

return "\n".join(
[
' <div class="glance-rows">',
' <div class="glance-row glance-row-head mono">'
'<span class="g-name">indicator</span>'
'<span>latest outturn</span><span></span>'
'<span>model near-term forecast</span></div>',
row("Real GDP growth", "y/y", f"{fmt(g_now['value'])}%", g_now["period"],
f"{fmt(g_fc['median'])}%", g_period, rng(g_fc)),
row("CPI inflation", "y/y", f"{fmt(c_now['value'])}%", c_now["period"],
f"{fmt(c_fc['median'])}%", c_period, rng(c_fc)),
row("Unemployment rate", "", f"{fmt(u_now['value'])}%", u_now["period"],
f"{fmt(u_fc['median'])}%", u_period, rng(u_fc)),
" </div>",
f' <p class="glance-caption">{caption}</p>',
]
)


def home_us_now() -> str:
"""Homepage 'US at a glance' table: outturns beside the LONGBASE baseline."""
gdp = load("us_real_gdp")
cpi = load("us_cpi")
unemployment = load("us_unemployment_rate")
baseline = longbase_baseline()

g_now = gdp_growth(gdp)[-1]
c_now = yoy_growth(cpi, 12)[-1]
u_now = latest(unemployment)

g_base = baseline_next_open(baseline, g_now["period"])
c_base = baseline_next_open(baseline, c_now["period"])
u_base = baseline_next_open(baseline, u_now["period"])

caption = (
"FRED outturns (as of "
f"{max(gdp['vintage'], cpi['vintage'], unemployment['vintage'])}) beside "
"the FRB/US LONGBASE conditioning baseline — not a forecast. "
'<a href="/economy/us">Full sources &rarr;</a>'
)
def row(name, unit, out_v, out_p, base_v, base_p):
return (
' <div class="glance-row">\n'
f' <span class="g-name">{name} <small>{unit}</small></span>\n'
f' <span class="g-cell"><strong>{out_v}</strong> <span class="mono">{out_p}</span></span>\n'
' <span class="g-arrow">&rarr;</span>\n'
f' <span class="g-cell"><strong>{base_v}</strong> <span class="mono">{base_p}</span></span>\n'
" </div>"
)

return "\n".join(
[
' <div class="glance-rows">',
' <div class="glance-row glance-row-head mono">'
'<span class="g-name">indicator</span>'
'<span>latest outturn</span><span></span>'
'<span>LONGBASE baseline</span></div>',
row("Real GDP growth", "y/y", f"{fmt(g_now['value'])}%", g_now["period"],
f"{fmt(g_base['gdp_yoy_pct'])}%", g_base["quarter"]),
row("CPI inflation", "y/y", f"{fmt(c_now['value'])}%", c_now["period"],
f"{fmt(c_base['cpi_yoy_pct'])}%", c_base["quarter"]),
row("Unemployment rate", "", f"{fmt(u_now['value'])}%", u_now["period"],
f"{fmt(u_base['unemployment_pct'])}%", u_base["quarter"]),
" </div>",
f' <p class="glance-caption">{caption}</p>',
]
)


def render_home() -> str:
html = HOME_PAGE.read_text()
html = replace(html, "home-uk-now", home_uk_now())
html = replace(html, "home-us-now", home_us_now())
return html


def render_uk() -> str:
"""The UK hub. ``economy-topics`` belongs to economy/topics.py, not here."""
html = PAGE.read_text()
Expand Down Expand Up @@ -608,13 +478,11 @@ def main() -> int:
parser = argparse.ArgumentParser()
parser.add_argument("--check", action="store_true")
args = parser.parse_args()
rendered_home = render_home()
rendered_uk = render_uk()
rendered_us = render_us()
if args.check:
stale = []
for path, rendered in (
(HOME_PAGE, rendered_home),
(PAGE, rendered_uk),
(US_PAGE, rendered_us),
):
Expand All @@ -625,7 +493,6 @@ def main() -> int:
return 1
print("UK and US Economy pages match committed data")
return 0
HOME_PAGE.write_text(rendered_home)
PAGE.write_text(rendered_uk)
US_PAGE.write_text(rendered_us)
print("updated UK and US Economy pages")
Expand Down
Loading