2026-07-11 00:29:47 +00:00
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fastapi==0.115.6
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uvicorn[standard]==0.34.0
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httpx==0.28.1
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Migrate backend dataframe layer from pandas to polars (#90)
* Migrate backend dataframe layer from pandas to polars
Replace pandas with polars across the backend, dropping both pandas and its
pyarrow parquet engine from the dependency set. numpy stays (the grading
percentile math is unchanged).
- climate.py: parquet IO, source→frame mappings, cache read/topup on polars.
New _normalize_read casts the cached `date` column to pl.Date (older files
were written by pandas as datetime64[ns]); frames now unify missing values as
null so the grading boundary drops them consistently across sources.
- grading.py: keep the numpy percentile core; swap the frame→numpy bridge to
.to_numpy()/.drop_nulls(), day-of-year/year to polars dt expressions, and the
per-row loop to iter_rows(named=True).
- views.py: filter/anti-join/concat replace boolean-mask, isin and pd.concat;
scalar dates are stdlib datetime.date; a local _months_before helper replaces
DateOffset(months=) for the calendar-range default.
- app.py, migrate.py: request-date parsing uses datetime.date, removing pandas
from the endpoint and migrate layers entirely.
- The date column is pl.Date end to end, eliminating the pandas normalize() calls
and comparing cleanly against stdlib dates.
Payloads are unchanged: calendar, day, grade and forecast responses are
byte-for-byte identical to the pandas implementation on the same cached record.
Tests ported to polars fixtures, with added coverage for the combined feels-like
fallback, calendar month-offset (month-end/leap), and the concat/dedup
"fresher source wins" rule.
* Port notify.py to polars after merging dev's account system
Merge origin/dev (accounts + notification subscriptions) and carry the pandas→
polars migration into the newly added notify.py, which the merge brought in still
using pandas — with pandas removed from requirements this broke its import.
- notify.py: _candidate_rows filters/sorts the recent bundle with polars
expressions and returns iter_rows dicts; date scalars are datetime.date;
history/recent emptiness via is_empty().
- test_notify.py: synthetic history/rows built with polars + datetime.
2026-07-15 19:07:38 +00:00
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polars==1.42.1
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2026-07-11 00:29:47 +00:00
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numpy==2.2.1
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Containerize the app and move the databases to PostgreSQL 18 (#220)
Run Thermograph as a docker-compose stack (app + Postgres 18) and standardize the
data layer on Postgres, while keeping the test suite on SQLite.
- accounts/db.py: DSN-driven engines. On Postgres, a per-worker read-write +
read-only asyncpg pair (the RO engine pins read-only transactions, used by the
pure-GET endpoints) plus a sync psycopg engine for the notifier thread; the
SQLite path is preserved for tests/local (selected when THERMOGRAPH_DATABASE_URL
is unset). models.py: boolean server_default -> sa.false().
- store.py / metrics.py: dialect-flexible — Postgres UNLOGGED tables via psycopg
when configured, else the existing raw-sqlite3 paths byte-for-byte; sync
interfaces and every fail-soft contract preserved.
- Alembic (backend/alembic/) manages the accounts schema; the container entrypoint
runs `alembic upgrade head` before uvicorn (4 workers). migrate_accounts_to_pg.py
copies the accounts data SQLite->PG through the ORM (UUID/bool/JSON coerced),
skips access_token, and resets identity sequences.
- Dockerfile + docker-compose.yml: app image (uvicorn, 4 workers, loopback 8137)
and a Postgres 18 db (2 CPUs) running pg_duckdb (deploy/db/) so the parquet
climate cache is queryable in-DB via read_parquet('/parquet/cache/*.parquet').
- deploy.sh/thermograph.service rewired to manage the compose stack; env example,
Makefile targets (up/down/db-up), and deploy/POSTGRES-MIGRATION.md cutover runbook.
Tests stay on SQLite (dialect fallback) — 323 pass. The full Postgres stack was
verified via docker compose: alembic migrations, register/login, the RO endpoint,
store/metrics round-trips, and the accounts data migration.
2026-07-20 06:28:23 +00:00
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# Accounts + notification subscriptions (see accounts/db.py, users.py, notify.py).
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# Postgres in prod/containers: asyncpg (async web/store) + psycopg (sync notifier);
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# aiosqlite is kept for the SQLite fallback the test suite runs on. alembic manages
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2026-07-23 04:41:26 +00:00
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# the accounts schema. The `pool` extra pulls in psycopg_pool, used by
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# data/climate_store.py + data/store.py to bound the raw connections those modules
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# open on Postgres (see their module docstrings) instead of one-per-thread forever.
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Account system with weather-notification subscriptions (#89)
* Add account system foundation: email/password auth with cookie sessions
Introduce the app's first authoritative, user-owned data in a separate
data/accounts.sqlite (SQLAlchemy), kept apart from the disposable derived-cache
DB. Wire fastapi-users for email/password signup, cookie-based login/logout, and
a session-check endpoint, backed by a database session strategy so logins survive
restarts and are revocable.
- db.py: async (aiosqlite) + sync SQLAlchemy engines over accounts.sqlite, WAL +
foreign keys, create_db_and_tables().
- models.py: User, AccessToken, Subscription, Notification tables.
- users.py: pwdlib hashing, HttpOnly cookie transport (path-scoped, SameSite=Lax,
Secure via env), DatabaseStrategy sessions, current-user dependencies.
- schemas.py: user + subscription + notification Pydantic models.
- app.py: mount auth/register/users routers on v2, create tables at startup.
- Pin fastapi-users[sqlalchemy]/aiosqlite; ignore data/accounts.sqlite*.
* Add account header entry and auth modal (frontend)
account.js self-injects a header entry (following the units.js pattern) that
shows a Sign in button when logged out and an account menu when logged in, plus
an auth modal reusing the existing .mp-overlay/.mp-modal chrome for email/password
sign-in and account creation. A shared apiFetch helper sends the same-origin
cookie for authed calls; exported getUser/openAuth/onAuthChange back later phases.
Imported by every page entry module. On narrow screens the entry collapses to an
icon-only button so it doesn't crowd the title.
Enforce an 8-character minimum password in the user manager.
* Add subscription CRUD API and the alerts management page
Backend api_accounts.py adds user-scoped, cookie-authenticated endpoints to
create/list/update/delete subscriptions (and the notification reads used next):
POST snaps lat/lon to a grid cell, resolves a label, and rejects a duplicate
location+kind with 409; PATCH/DELETE are ownership-checked (404 on mismatch).
Mounted on the v2 prefix.
Frontend subscriptions.js + subscriptions.html serve the /alerts page: a sign-in
gate when logged out, an add flow that reuses the shared map picker and an editor
modal (kind, watched metrics, 95-99 percentile, two-sided), and a card list with
inline threshold/active edits and remove. Reachable from the account menu.
* Add background subscription evaluation engine
notify.py runs a daemon thread that periodically evaluates every active
subscription: it groups them by grid cell, reads history from the parquet cache
only (never spends archive quota) plus the hourly recent/forecast bundle, and
grades candidate days with the existing grading.grade_day. A watched metric that
lands at or beyond the threshold percentile fires a 'high' alert; a two-sided
subscription also fires 'low' for the symmetric cold/calm/dry tail (precip stays
one-directional). Observed subscriptions look at the last few recorded days,
forecast subscriptions at the coming week.
Two guards keep it quiet: a UNIQUE(subscription, event_date, metric, direction,
kind) constraint dedups repeat events, and a per-subscription weekly cap
(last_notified_at) limits each alert to one notification per 7 days. The loop
tolerates a bad cell or an upstream rate limit without aborting the pass. Started
and stopped from the app lifespan; gated by THERMOGRAPH_ENABLE_NOTIFIER.
* Add in-app notification center (header bell)
Extend account.js with a notification bell beside the account menu: an unread
badge, a dropdown listing recent notifications (title, body, relative time), a
per-item mark-read on click, and a Mark all read action, all through the
cookie-authed notifications API. Unread state refreshes on open and polls every
two minutes while signed in; polling stops on sign-out. Styled to match the app,
responsive down to mobile.
* Harden accounts: expired-session cleanup, engine tests, ops docs
- notify.py sweeps expired login sessions (access tokens past their lifetime)
once per evaluation pass.
- Add hermetic unit tests for the evaluation engine's trigger detection (high/low
tails, precip one-directional, normal = no trigger) and notification wording.
- Document accounts.sqlite (authoritative, back it up), the single-worker
requirement for the in-process evaluator, and the new env vars in DEPLOY.md.
2026-07-15 18:46:46 +00:00
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fastapi-users[sqlalchemy]==15.0.5
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aiosqlite==0.22.1
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Containerize the app and move the databases to PostgreSQL 18 (#220)
Run Thermograph as a docker-compose stack (app + Postgres 18) and standardize the
data layer on Postgres, while keeping the test suite on SQLite.
- accounts/db.py: DSN-driven engines. On Postgres, a per-worker read-write +
read-only asyncpg pair (the RO engine pins read-only transactions, used by the
pure-GET endpoints) plus a sync psycopg engine for the notifier thread; the
SQLite path is preserved for tests/local (selected when THERMOGRAPH_DATABASE_URL
is unset). models.py: boolean server_default -> sa.false().
- store.py / metrics.py: dialect-flexible — Postgres UNLOGGED tables via psycopg
when configured, else the existing raw-sqlite3 paths byte-for-byte; sync
interfaces and every fail-soft contract preserved.
- Alembic (backend/alembic/) manages the accounts schema; the container entrypoint
runs `alembic upgrade head` before uvicorn (4 workers). migrate_accounts_to_pg.py
copies the accounts data SQLite->PG through the ORM (UUID/bool/JSON coerced),
skips access_token, and resets identity sequences.
- Dockerfile + docker-compose.yml: app image (uvicorn, 4 workers, loopback 8137)
and a Postgres 18 db (2 CPUs) running pg_duckdb (deploy/db/) so the parquet
climate cache is queryable in-DB via read_parquet('/parquet/cache/*.parquet').
- deploy.sh/thermograph.service rewired to manage the compose stack; env example,
Makefile targets (up/down/db-up), and deploy/POSTGRES-MIGRATION.md cutover runbook.
Tests stay on SQLite (dialect fallback) — 323 pass. The full Postgres stack was
verified via docker compose: alembic migrations, register/login, the RO endpoint,
store/metrics round-trips, and the accounts data migration.
2026-07-20 06:28:23 +00:00
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asyncpg==0.30.0
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2026-07-23 04:41:26 +00:00
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psycopg[binary,pool]==3.2.3
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Containerize the app and move the databases to PostgreSQL 18 (#220)
Run Thermograph as a docker-compose stack (app + Postgres 18) and standardize the
data layer on Postgres, while keeping the test suite on SQLite.
- accounts/db.py: DSN-driven engines. On Postgres, a per-worker read-write +
read-only asyncpg pair (the RO engine pins read-only transactions, used by the
pure-GET endpoints) plus a sync psycopg engine for the notifier thread; the
SQLite path is preserved for tests/local (selected when THERMOGRAPH_DATABASE_URL
is unset). models.py: boolean server_default -> sa.false().
- store.py / metrics.py: dialect-flexible — Postgres UNLOGGED tables via psycopg
when configured, else the existing raw-sqlite3 paths byte-for-byte; sync
interfaces and every fail-soft contract preserved.
- Alembic (backend/alembic/) manages the accounts schema; the container entrypoint
runs `alembic upgrade head` before uvicorn (4 workers). migrate_accounts_to_pg.py
copies the accounts data SQLite->PG through the ORM (UUID/bool/JSON coerced),
skips access_token, and resets identity sequences.
- Dockerfile + docker-compose.yml: app image (uvicorn, 4 workers, loopback 8137)
and a Postgres 18 db (2 CPUs) running pg_duckdb (deploy/db/) so the parquet
climate cache is queryable in-DB via read_parquet('/parquet/cache/*.parquet').
- deploy.sh/thermograph.service rewired to manage the compose stack; env example,
Makefile targets (up/down/db-up), and deploy/POSTGRES-MIGRATION.md cutover runbook.
Tests stay on SQLite (dialect fallback) — 323 pass. The full Postgres stack was
verified via docker compose: alembic migrations, register/login, the RO endpoint,
store/metrics round-trips, and the accounts data migration.
2026-07-20 06:28:23 +00:00
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alembic==1.14.0
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2026-07-21 22:57:17 +00:00
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# Web Push (VAPID) delivery of notifications (see notifications/push.py). Pulls in
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2026-07-15 23:21:06 +00:00
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# py-vapid, cryptography, and http-ece.
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pywebpush==2.0.0
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2026-07-21 22:57:17 +00:00
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# Ed25519 verification of Discord interaction webhooks (see notifications/discord_interactions.py).
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2026-07-20 02:19:29 +00:00
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PyNaCl==1.5.0
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daemon: move the Discord gateway and scheduler out of the web process into Go (#21)
The gateway bot and APScheduler were long-lived stateful I/O loops running
inside the async web app under a leader election. They move into a single Go
binary that owns ONLY that I/O -- websocket, RESUME, heartbeat, backoff, timers.
It owns no grading logic. Anything needing data calls back over a new
internal-only surface (/internal/discord/grade, /internal/jobs/*). Grading
depends on polars and the parquet cache; reimplementing it in Go would let the
bot's grades drift from the API's. The grade route returns gateway-ready JSON
and Go relays the bytes verbatim.
The binary ships in the backend image and runs as a second compose service off
the same tag, so the two ends of the /internal/* contract can never skew.
deploy.sh rolls daemon alongside backend -- without that the service would never
be created, since a single-service deploy uses --no-deps. It also probes the
image first and skips the daemon when rolling a tag that predates the binary:
infra tracks main while image tags are env-staged, so a host can legitimately be
asked to roll an older backend image, and creating the service anyway would
leave a container crash-looping on a missing binary.
replicas: 1 with order: stop-first replaces the leader election -- Discord
permits one gateway connection per bot token.
THERMOGRAPH_INTERNAL_TOKEN is optional: both ends derive it from
THERMOGRAPH_AUTH_SECRET via HMAC under a domain-separation label, so this needs
no new vault entry. The derivation is pinned to a shared cross-language test
vector asserted on both sides, so drift fails CI instead of 401ing every call.
Fail closed when neither secret is set.
Improvements over the Python: a close intended for RESUME uses 4000 rather than
1000 (Discord invalidates a session closed 1000, so the old default defeated its
own resume); MESSAGE_CREATE runs on a bounded worker pool; and a malformed HELLO
returns an error rather than a clean reconnect, which would otherwise reset
backoff and hot-loop against the gateway.
365 Python tests pass; Go build/vet/test -race clean; shellcheck 0 findings.
2026-07-23 22:49:54 +00:00
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# The Discord gateway bot and the recurring worker jobs moved to the
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# thermograph-daemon Go binary (backend/daemon/), which calls back over
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# api/internal_routes.py — so the direct `websockets` pin (only discord_bot.py
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# imported it; uvicorn[standard] still pulls it transitively for its own ws
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# protocol support) and `apscheduler` are gone from this list.
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2026-07-23 21:20:35 +00:00
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# The lake role's SQL engine (lake_app.py /query): embedded, parallel
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# partition-pruned scans over the ERA5 hive table. Only lake_app imports it.
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duckdb==1.4.2
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