feat(server): split runtime knobs out of .env into settings.toml

.env shrinks to bootstrap values only (port, paths, log, auth, deploy
flags). The 14 admin-tunable values (retention, whisper, ollama, llm)
move to a new settings.toml with serde(default)-based per-section
defaults and an empty-prompt fallback to the code default. settings.toml
is gitignored alongside .env; settings.toml.example is the template.

This commit fixes the file layout. The server-side wiring (Config shrink,
AppState integration, consumer migration) follows separately.
This commit is contained in:
2026-04-27 11:21:23 +02:00
parent 0205301018
commit 6bbbf10f77
4 changed files with 298 additions and 33 deletions
+1
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@@ -1,6 +1,7 @@
target/
.env
users.toml
settings.toml
*.snap.new
repomix-output.xml
tmpdata/
+13 -33
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@@ -1,42 +1,22 @@
# === Required (Phase 1) ===
# Doctate operator config — bootstrap, logging, auth, deploy topology.
# Admin-tunable values (retention, providers, prompts) live in settings.toml
# (see settings.toml.example for the template).
# Server bootstrap
SERVER_PORT=3000
DATA_PATH=/data
USERS_FILE=users.toml
# Logging
LOG_LEVEL=info
LOG_PATH=/var/log/recorder
LOG_MAX_DAYS=90
# === Optional (Phase 2+) ===
# Retention
RETENTION_AUDIO_DAYS=30
RETENTION_TRANSCRIPT_DAYS=30
RETENTION_DOCUMENT_DAYS=0
# faster-whisper
WHISPER_URL=http://localhost:10300
WHISPER_TIMEOUT_SECONDS=120
# Ollama
OLLAMA_URL=http://localhost:11434
OLLAMA_MODEL=gemma3:4b
OLLAMA_KEEP_ALIVE=0
# LLM provider (Ionos)
LLM_URL=https://openai.inference.de-txl.ionos.com
LLM_API_KEY=
LLM_MODEL=
LLM_TEMPERATURE=0
LLM_TIMEOUT_SECONDS=180
# Optional override of the consolidation system prompt. If unset or empty, a default is used.
# Single line — escape newlines with \n if your shell preserves them, or put the prompt on one logical line.
LLM_SYSTEM_PROMPT="Du bist ein medizinischer Assistent. Fasse die folgenden diktierten Abschnitte zu einem zusammenhängenden Text zusammen. Bereinigen und strukturieren, nichts hinzufügen, nichts interpretieren, keine Diagnose, keine Arztbrief-Struktur. Entferne Redundanzen. Spätere Aufnahmen haben Vorrang — Korrekturen, Nachträge und Widersprüche zugunsten der chronologisch letzten Aussage auflösen. Antworte auf Deutsch. Nur der zusammengefasste Text, keine Einleitung, kein Abschlusssatz."
# Gazetteer (pre-LLM proper-name correction)
# Directory with *.txt files, one entry per line. Blank and #-comment lines
# are skipped. Missing directory is non-fatal — analysis runs without hints.
VOCAB_DIR=./vocab
# Session
# Auth
SESSION_TIMEOUT_HOURS=8
# Set to false for plain-HTTP local dev; browsers refuse Secure cookies on http://
COOKIE_SECURE=true
# Optional filesystem resources (uncomment if used)
# VOCAB_DIR=./vocab
# HUNSPELL_DICT=/usr/share/hunspell/de_DE.dic
+46
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@@ -0,0 +1,46 @@
# Doctate runtime settings — admin-editable via WebUI.
# Bootstrap values (port, data paths, log paths, auth) live in .env.
# Copy to settings.toml and adjust per deployment.
[retention]
audio_days = 30
transcript_days = 30
document_days = 0
[whisper]
url = "http://localhost:9000"
timeout_seconds = 120
[ollama]
url = "http://localhost:11434"
model = "gemma3:4b"
keep_alive = 0
# LLM provider: swap url/api_key/model between blocks to switch providers.
# Only one [llm] block may be active at a time — comment the others.
# Example: Ionos hosted
[llm]
url = "https://openai.inference.de-txl.ionos.com"
api_key = ""
model = ""
temperature = 0
timeout_seconds = 180
# Single line or TOML triple-string for multi-line prompts.
system_prompt = """
Du bist ein medizinischer Assistent. Fasse die folgenden diktierten Abschnitte
zu einem zusammenhängenden Text zusammen. Bereinigen und strukturieren, nichts
hinzufügen, nichts interpretieren, keine Diagnose, keine Arztbrief-Struktur.
Entferne Redundanzen. Spätere Aufnahmen haben Vorrang — Korrekturen, Nachträge
und Widersprüche zugunsten der chronologisch letzten Aussage auflösen.
Antworte auf Deutsch. Nur der zusammengefasste Text, keine Einleitung, kein
Abschlusssatz.
"""
# Example: Ollama local
# [llm]
# url = "http://localhost:11434"
# api_key = ""
# model = "SimonPu/gpt-oss:20b_Q4_K_M"
# temperature = 0
# timeout_seconds = 300
+238
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@@ -0,0 +1,238 @@
//! Runtime-tunable settings loaded from `settings.toml`.
//!
//! Bootstrap config (port, data paths, log paths, auth) lives in [`crate::config::Config`].
//! Edits to `settings.toml` take effect on the next server start — hot
//! reload is a follow-up plan.
use serde::Deserialize;
#[derive(Debug, Clone, Default, Deserialize)]
pub struct Settings {
#[serde(default)]
pub retention: RetentionSettings,
#[serde(default)]
pub whisper: WhisperSettings,
#[serde(default)]
pub ollama: OllamaSettings,
#[serde(default)]
pub llm: LlmSettings,
}
#[derive(Debug, Clone, Deserialize)]
pub struct RetentionSettings {
#[serde(default = "default_retention_audio_days")]
pub audio_days: u32,
#[serde(default = "default_retention_transcript_days")]
pub transcript_days: u32,
#[serde(default = "default_retention_document_days")]
pub document_days: u32,
}
impl Default for RetentionSettings {
fn default() -> Self {
Self {
audio_days: default_retention_audio_days(),
transcript_days: default_retention_transcript_days(),
document_days: default_retention_document_days(),
}
}
}
fn default_retention_audio_days() -> u32 {
30
}
fn default_retention_transcript_days() -> u32 {
30
}
fn default_retention_document_days() -> u32 {
0
}
#[derive(Debug, Clone, Deserialize)]
pub struct WhisperSettings {
#[serde(default = "default_whisper_url")]
pub url: String,
#[serde(default = "default_whisper_timeout_seconds")]
pub timeout_seconds: u64,
}
impl Default for WhisperSettings {
fn default() -> Self {
Self {
url: default_whisper_url(),
timeout_seconds: default_whisper_timeout_seconds(),
}
}
}
fn default_whisper_url() -> String {
"http://localhost:10300".into()
}
fn default_whisper_timeout_seconds() -> u64 {
120
}
#[derive(Debug, Clone, Deserialize)]
pub struct OllamaSettings {
#[serde(default = "default_ollama_url")]
pub url: String,
#[serde(default = "default_ollama_model")]
pub model: String,
#[serde(default = "default_ollama_keep_alive")]
pub keep_alive: u32,
}
impl Default for OllamaSettings {
fn default() -> Self {
Self {
url: default_ollama_url(),
model: default_ollama_model(),
keep_alive: default_ollama_keep_alive(),
}
}
}
fn default_ollama_url() -> String {
"http://localhost:11434".into()
}
fn default_ollama_model() -> String {
"gemma3:4b".into()
}
fn default_ollama_keep_alive() -> u32 {
0
}
#[derive(Debug, Clone, Deserialize)]
pub struct LlmSettings {
#[serde(default)]
pub url: String,
#[serde(default)]
pub api_key: String,
#[serde(default)]
pub model: String,
#[serde(default)]
pub temperature: f32,
#[serde(default = "default_llm_timeout_seconds")]
pub timeout_seconds: u64,
/// Empty values fall back to the code default in [`Settings::load_or_default`]
/// — symmetric to the previous env-var behaviour.
#[serde(default = "default_llm_system_prompt")]
pub system_prompt: String,
}
impl Default for LlmSettings {
fn default() -> Self {
Self {
url: String::new(),
api_key: String::new(),
model: String::new(),
temperature: 0.0,
timeout_seconds: default_llm_timeout_seconds(),
system_prompt: default_llm_system_prompt(),
}
}
}
fn default_llm_timeout_seconds() -> u64 {
180
}
fn default_llm_system_prompt() -> String {
crate::analyze::prompt::SYSTEM_PROMPT.to_string()
}
impl Settings {
/// Missing file → defaults + warn. Parse error → panic (startup-fail-fast).
/// An empty `llm.system_prompt` field falls back to the code default.
pub fn load_or_default(path: &str) -> Self {
match std::fs::read_to_string(path) {
Ok(content) => {
let mut parsed: Settings = toml::from_str(&content)
.unwrap_or_else(|e| panic!("Failed to parse {path}: {e}"));
if parsed.llm.system_prompt.is_empty() {
parsed.llm.system_prompt = default_llm_system_prompt();
}
tracing::info!(path, "settings loaded");
parsed
}
Err(_) => {
tracing::warn!(path, "settings file not found — using code defaults");
Self::default()
}
}
}
/// `api_key` is intentionally not required — Ollama's OpenAI-compatible
/// endpoint accepts unauthenticated requests.
pub fn llm_configured(&self) -> bool {
!self.llm.url.is_empty() && !self.llm.model.is_empty()
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn parses_full_toml() {
let s: Settings = toml::from_str(
r#"
[whisper]
url = "http://h:1"
timeout_seconds = 60
[ollama]
url = "http://h:2"
model = "x"
keep_alive = 5
[llm]
url = "http://h:3"
api_key = "k"
model = "m"
temperature = 0.5
timeout_seconds = 30
system_prompt = "p"
"#,
)
.unwrap();
assert_eq!(s.whisper.url, "http://h:1");
assert_eq!(s.whisper.timeout_seconds, 60);
assert_eq!(s.ollama.keep_alive, 5);
assert_eq!(s.llm.api_key, "k");
assert_eq!(s.llm.system_prompt, "p");
}
#[test]
fn empty_toml_yields_defaults() {
let s: Settings = toml::from_str("").unwrap();
assert_eq!(s.whisper.url, "http://localhost:10300");
assert_eq!(s.whisper.timeout_seconds, 120);
assert_eq!(s.ollama.url, "http://localhost:11434");
assert_eq!(s.ollama.model, "gemma3:4b");
assert_eq!(s.llm.timeout_seconds, 180);
}
#[test]
fn partial_toml_fills_in_defaults() {
let s: Settings = toml::from_str(
r#"
[whisper]
url = "http://only-whisper"
"#,
)
.unwrap();
assert_eq!(s.whisper.url, "http://only-whisper");
assert_eq!(s.whisper.timeout_seconds, 120);
assert_eq!(s.ollama.url, "http://localhost:11434");
}
#[test]
fn llm_configured_requires_url_and_model() {
let mut s = Settings::default();
assert!(!s.llm_configured());
s.llm.url = "http://x".into();
assert!(!s.llm_configured());
s.llm.model = "m".into();
assert!(s.llm_configured());
}
}