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MonthPage and RecordsPage each made two backend calls sequentially (CityMonth/CityRecords, then City) where the second never depended on the first's result -- both are independent single-slug lookups. Waiting for one full round trip before even starting the other was pure latency with nothing to show for it. fetchWithCity launches both concurrently via goroutines and a WaitGroup. Verified live against a stub with an injected 400ms delay on both endpoints: city page (1 call) and month/records pages (2 calls each) all cost ~0.404s now, not ~0.404s vs ~0.8s -- the two-call pages no longer pay double. Error priority is preserved exactly: if the primary call fails, its error wins even when City also fails or hasn't finished, matching the old sequential code (which never called City() once primary had already failed). The one real trade-off, called out in the comment: City() is now always launched even on a request that's about to 404 from primary, so an invalid slug costs one extra (wasted, cheap) backend lookup it previously skipped -- worth it since a bad slug is the rare path and a good one is the common path this speeds up. Tests: happy path; primary-error-wins and city-error-surfaces (both single and combined failure); and a deterministic concurrency proof via rendezvous channels rather than timing (the old sequential code would deadlock this test, not just run it slower). Full suite green under `-race -count=2`. Docker build (which runs `go test` inside the image) passes. |
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| content | ||
| scripts | ||
| server | ||
| static | ||
| templates | ||
| tests | ||
| tools | ||
| .dockerignore | ||
| .gitignore | ||
| api_client.py | ||
| app.py | ||
| CLAUDE.md | ||
| content.py | ||
| content_loader.py | ||
| DESIGN.md | ||
| docker-compose.test.yml | ||
| Dockerfile | ||
| format.py | ||
| Makefile | ||
| paths.py | ||
| README.md | ||
| requirements-dev.txt | ||
| requirements.txt | ||
Thermograph frontend
The server-rendered content pages, the interactive-tool SPA shells, and every
static asset for Thermograph — grades recent local
weather against ~45 years of climate history. This repo holds no climate
data and does no compute; it renders pages and serves the JS/CSS/image
assets that call the backend's API from the browser. It was split out of the
emi/thermograph monorepo (frontend_ssr/ + frontend/ there) so it can
build its own image and deploy independently of the backend. See
CLAUDE.md for the full agent-facing detail on the split
topology and deploy contract, and
thermograph-docs (sibling repo) for the
architecture decision record behind the split.
Layout
api_client.py HTTP client for the backend's content API (api/content_routes.py
on the backend). Fails loud at import if
THERMOGRAPH_API_BASE_INTERNAL is unset. TTL-cached (10 min
default) in front of every call.
app.py FastAPI app: /healthz, the interactive tool's SPA-shell
routes (calendar/day/score/compare/legend/alerts), and the
StaticFiles mount for everything else. Calls
content.register(app) for the SSR routes below.
content.py Server-rendered pages: climate hub, per-city, month,
records, glossary, about, privacy, robots.txt, sitemap.xml.
content_loader.py Loads content/glossary.yaml + content/pages.yaml (SSR copy),
validated fail-loud at load time.
format.py Unit-aware (°C/°F) formatting for the SSR templates,
ContextVar-scoped active unit.
paths.py Canonical filesystem locations (STATIC_DIR, TEMPLATES_DIR,
CONTENT_DIR), resolved from the repo root.
templates/ Jinja templates content.py renders (base, home, city, month,
hub, records, glossary, glossary_term, about, privacy).
static/ Every static asset: the interactive tool's JS
(app.js, calendar.js, day.js, score.js, compare.js,
account.js, cache.js, shared.js, units.js, mappicker.js, …),
the SPA-shell HTML pages, style.css (all design tokens —
see DESIGN.md), icons/favicons, manifest.webmanifest, sw.js.
content/ Structured SSR copy: glossary.yaml, pages.yaml.
tests/ pytest suite — see the KNOWN GAP note below before relying on it.
tools/ shoot.py — the make-shots visual-verify screenshot tool
(see DESIGN.md).
Dockerfile Builds this repo's own image (python:3.12-slim,
uvicorn app:app), independent of the backend's.
How it fits the split
Four sibling repos replace the old monorepo:
thermograph-backend— the FastAPI API, grading/scoring/grid compute, and DB. This repo's only runtime dependency.thermograph-frontend(this repo).thermograph-infra— Terraform, compose files,deploy/deploy.sh(the script both repos' deploy workflows SSH into), the secrets vault.thermograph-docs— architecture/decision docs and runbooks.
Each app repo now builds and publishes its own image
(git.thermograph.org/emi/thermograph-frontend/app, tagged by git SHA and
semver) instead of the old shared emi/thermograph/app image, and deploys via
its own .forgejo/workflows/deploy.yml (main → beta) and deploy-prod.yml
(release → prod), each rolling only the frontend compose service on the
target VPS.
Talking to the backend
All data comes from the backend's content API over HTTP
(api_client.py) — this process holds nothing in-process. Two env vars
control the topology:
THERMOGRAPH_API_BASE_INTERNAL(required) — where this process reaches the backend server-side, e.g.http://backend:8137in compose, orhttp://127.0.0.1:8137for a local backend checkout.api_client.pyraises at import if this is unset — a missing backend URL should break boot, not silently 500 the first request.THERMOGRAPH_API_BASE_PUBLIC(optional) — the backend's browser-facing origin, used only when frontend and backend are served cross-origin (e.g. a genuinely separate LAN-dev topology). Left empty (the default), asset/API references stay relative and same-origin, which is today's real deployed topology.
Same-origin cookie-auth caveat: the interactive tool's auth
(static/account.js) is an HttpOnly session cookie. It uses
credentials: "include" (not the fetch default) specifically so the cookie
still rides along if this script is ever loaded cross-origin, but the backend
must actually be configured to accept credentialed cross-origin requests
(CORS + SameSite) for that case to work — in the default same-origin
deployment this is a non-issue. Don't assume a fully decoupled, independently-
hosted frontend "just works" for logged-in features without checking that
cookie/CORS configuration first.
THERMOGRAPH_BASE (default /thermograph) must be set identically on both
frontend and backend in every real deployment — it's how both processes agree
on the shared URL prefix (or the deployed clean-root /, which the Dockerfile
sets by default).
Build & run
python3 -m venv .venv && .venv/bin/pip install -r requirements.txt
THERMOGRAPH_API_BASE_INTERNAL=http://127.0.0.1:8137 \
THERMOGRAPH_BASE=/thermograph \
.venv/bin/uvicorn app:app --host 0.0.0.0 --port 8080
Or build the image directly:
docker build -t thermograph-frontend .
docker run -p 8080:8080 -e THERMOGRAPH_API_BASE_INTERNAL=http://backend:8137 thermograph-frontend
The image healthchecks GET /healthz (liveness only — it does no I/O, so it
stays cheap; it does not prove the backend is reachable).
More detail
CLAUDE.md— agent-facing instructions: deploy contract, API-version pinning, the cross-repo/cell/ETag andpctOrd()contracts, and the current known test-suite gap.DESIGN.md— the visual system (tokens, components, breakpoints) andmake shotsvisual verification.thermograph-docs— the repo-topology decision record this split implements.