halkyon/deploy/.env.example

88 lines
4.9 KiB
Shell
Raw Normal View History

# Copy to deploy/.env, restrict it (chmod 600), and fill in. deploy/.env is git-ignored
# and never goes into an image. How it reaches the server is decided when the server is
# set up (e.g. rendered from Proton Pass on the deploying machine and copied over SSH,
# so the server itself never holds Proton credentials).
# `http://localhost` for the local rehearsal; `learn.halkyon.eu` on its server.
DOMAIN=http://localhost
# Sidecars switched on beside the instance (sidecars/README.md), each by its compose file
# after the instance's own: compose.jellyfin.yaml, a Jellyfin people watch and listen to
# learn from. Unset: the instance alone.
#COMPOSE_FILE=compose.yaml:compose.jellyfin.yaml
# With the Jellyfin sidecar: the domain it answers at, which the instance then suggests
# to its people (the app's Jellyfin sign-in fills it in).
#JELLYFIN_DOMAIN=jellyfin.example.org
# Postgres password, shared by the postgres and server services.
# Generate: openssl rand -base64 32
POSTGRES_PASSWORD=
# Pepper for hashing session keys (server-side sessions). NEVER change it once
# sessions exist: everyone would be signed out, and anonymous accounts can't sign
# back in. Rotation only via fallbackSessionKeyHashPeppers.
# Generate: openssl rand -base64 32
SESSION_KEY_HASH_PEPPER=
feat(server): GitHub sign-in that keeps only the GitHub ID As decided, a GitHub sign-in keeps nothing but the numeric GitHub ID, so the login is our own, on Serverpod's GitHub helpers (lib/src/auth/github.dart): Serverpod's stock login also stores the name and email in a profile and downloads the avatar, and its endpoint is never exposed. The server exchanges the authorization code with the client secret, reads the ID, and drops the access token. GitHubUpgradeEndpoint links the GitHub ID to the signed-in anonymous person, grants identified (to their existing sessions too) and removes the anonymous identity, in one transaction: the person, their spaces and their studysets stay the same. GitHubSignInEndpoint gives a session for a person who has the GitHub account already; it's called without a session, since Serverpod issues no session for another person inside a signed-in call, and it never creates people. InstanceEndpoint.info() tells the app the instance's GitHub client ID. Refusals are GitHubSignInRefusedException with a reason: GitHub sign-in off here, the account taken by another person, another GitHub account linked already, an unknown account. GitHub sign-in is on only where the passwords hold githubClientId and githubClientSecret (empty counts as missing, as Compose passes unset variables on as empty strings); production takes them from GITHUB_CLIENT_ID and GITHUB_CLIENT_SECRET in deploy/.env. grantIdentified can now join a caller's transaction. No migration: the GitHub accounts table comes with the auth module. Tests, refusals first: upgrading when not signed in (checked by switching the guard off: the test fails), both ways without a GitHub app, an account taken by someone else with nothing changed, a second GitHub account, an unknown account with nobody created; then linking keeps the person and reaches their sessions and stores no email, linking twice changes nothing, signing in reaches the right person. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-09-30 13:35:51 +02:00
# GitHub sign-in (optional): the client ID and secret of this instance's own GitHub
# OAuth app (GitHub → Settings → Developer settings → OAuth Apps), registered with the
# callback URLs app.halkyon.learn://github-callback and http://127.0.0.1/github-callback.
# Empty: GitHub sign-in is off, and the app doesn't offer it.
GITHUB_CLIENT_ID=
GITHUB_CLIENT_SECRET=
# Email sign-in (optional, ADR 0010): people sign in with a code mailed to their address,
# of which the instance keeps only a keyed hash. Off unless the pepper and all of the SMTP
# service's settings are set; the app then doesn't offer it.
# The pepper: NEVER change it once anybody signs in with an address, as every address's
# hash would be lost, and with it those people's way in.
# Generate: openssl rand -hex 32
EMAIL_SIGN_IN_PEPPER=
# The SMTP service codes go through, over TLS only (STARTTLS, or TLS directly on 465).
# Proton (a paid plan with an address on your own domain): smtp.protonmail.ch, 587, the
# address as the user, an SMTP token made for it in Proton Mail's settings (IMAP/SMTP) as
# the password, and the same address as EMAIL_FROM. Some hosts block outgoing 25 and 465;
# 587 gets through.
EMAIL_SMTP_HOST=
EMAIL_SMTP_PORT=587
EMAIL_SMTP_USER=
EMAIL_SMTP_PASSWORD=
# The address codes come from (shown as "Halkyon Learn"); its domain needs SPF, DKIM and
# DMARC records for the service, or mail lands in spam.
EMAIL_FROM=
# Where the source of what this instance runs is, shown in the app's About dialog: both
# licences (AGPL for the app, SSPL for the server) require offering it to the people who
# use the instance. Empty: the project's repository, which is right for unmodified code.
# Running modified code, set it to where your modified source is published.
SOURCE_URL=
feat(dictionary): German, Greek, English, Chinese and Korean words A studyset in German, Greek, English, Chinese or Korean finds its dictionary as one in Japanese does (ADR 0008), and its subtitles are cut into words by its language (`WordCutting`): Chinese by its longest words as they stand, the longer words over each cut offered as for Japanese; Korean at its spaces, a word the dictionary lacks as it stands taken without the particle it ends with (집에서 is 집, 아이 stays a child); every other language at its spaces, a word written exactly so first (the noun Essen before the verb essen). A studyset finds the dictionary of its language tag, else of its language alone (zh for zh-Hans). A Wiktionary word shows its genders, principal forms, IPA, romanisation and Hanja; a German or Greek noun of one gender goes onto its card with its article (das Haus, το σπίτι); its tag is its word class, named in full (Noun, Adjective, Preposition), as Wiktionary's adj and adv would read as JMdict's codes. Articles, pronouns, prepositions and conjunctions are left out of a video's words. Chinese words show their pinyin over each character on the Watch screen, carry their HSK level as a tag (HSK-1 … HSK-7-9), and the dictionary adds a level whole; the Watch screen filters by HSK levels for Chinese, JLPT's for Japanese, and by none for a language without. A reading is typed in a session only when it is kana, so pinyin isn't. Words are looked up on the web on Jisho in Japanese, on Wiktionary at the language's section otherwise, and a search's hint speaks of kana and romaji only in Japanese. `DICTIONARY_LANGUAGES` in deploy/.env names the languages an instance keeps (unset: de,el,en,ko,zh; empty: none). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:45:15 +02:00
# The languages besides Japanese whose dictionaries this instance keeps (the dictionaries
# service): Chinese from CC-CEDICT, weekly (some 4 MB), in simplified and traditional
# characters; Korean from KRDict, about monthly (some 84 MB); their characters from
# Unihan, weekly (some 8 MB); the rest from Wiktionary (German and Greek with English
# meanings, English with German ones; for Korean the forms of its words and the
# readings of its Hanja), whose whole dump (some 3 GB) it downloads whenever kaikki.org
# makes a new one, about monthly, and converts in ten minutes. Unset: de,el,en,ko,zh.
# Empty: none. Files of a language taken out are removed, and the server unloads them.
feat(dictionary): German, Greek, English, Chinese and Korean words A studyset in German, Greek, English, Chinese or Korean finds its dictionary as one in Japanese does (ADR 0008), and its subtitles are cut into words by its language (`WordCutting`): Chinese by its longest words as they stand, the longer words over each cut offered as for Japanese; Korean at its spaces, a word the dictionary lacks as it stands taken without the particle it ends with (집에서 is 집, 아이 stays a child); every other language at its spaces, a word written exactly so first (the noun Essen before the verb essen). A studyset finds the dictionary of its language tag, else of its language alone (zh for zh-Hans). A Wiktionary word shows its genders, principal forms, IPA, romanisation and Hanja; a German or Greek noun of one gender goes onto its card with its article (das Haus, το σπίτι); its tag is its word class, named in full (Noun, Adjective, Preposition), as Wiktionary's adj and adv would read as JMdict's codes. Articles, pronouns, prepositions and conjunctions are left out of a video's words. Chinese words show their pinyin over each character on the Watch screen, carry their HSK level as a tag (HSK-1 … HSK-7-9), and the dictionary adds a level whole; the Watch screen filters by HSK levels for Chinese, JLPT's for Japanese, and by none for a language without. A reading is typed in a session only when it is kana, so pinyin isn't. Words are looked up on the web on Jisho in Japanese, on Wiktionary at the language's section otherwise, and a search's hint speaks of kana and romaji only in Japanese. `DICTIONARY_LANGUAGES` in deploy/.env names the languages an instance keeps (unset: de,el,en,ko,zh; empty: none). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Signed-off-by: Tizian 「ティツィアーン」 <raisondetredev@pm.me>
2026-10-14 07:45:15 +02:00
#DICTIONARY_LANGUAGES=de,el,en,ko,zh
# The Jellyfin server the app suggests to this instance's people, who watch and listen
# to learn from it (Halkyon Learn's Watch screen). Empty: `https://jellyfin.` on the
# domain registered for this instance (learn.example.org → jellyfin.example.org), if a
# Jellyfin server answers there; `none`: no suggestion.
JELLYFIN_URL=
# How much room people's images and sounds may take on this instance, in MiB. Empty: the
# defaults, 100 for an anonymous person (anonymous accounts are meant to become identified
# ones), 500 for one signed in with GitHub, and 15000 for everyone together (0: no limit
# for everyone together). Every file is in the database, so also in each of the 3 dumps
# this server keeps (and a fourth while a deploy writes its own): files take five times
# their size on the disk. One person may get more than the default; as the operator,
# in deploy/ (their id is their account's, "authUserId"):
# docker compose exec postgres psql -U halkyon_learn -d halkyon_learn -c "INSERT INTO
# file_allowance (\"authUserId\", \"maxBytes\", note) VALUES ('<id>', 2147483648, 'asked by mail')"
FILE_LIMIT_ANONYMOUS_MB=
FILE_LIMIT_IDENTIFIED_MB=
FILE_LIMIT_INSTANCE_MB=