feat(kei-buddy): functional MVP — store + state-machine port + serve binary

Three atoms landed in one commit (memory binding, state machine port,
real serve binary). Tracked separately in TaskList (#5 #7 #6).

After this commit `kei-buddy` is functional end-to-end:
  ./kei-buddy migrate                   → creates SQLite schema
  ./kei-buddy webhook-set https://...   → registers Telegram webhook
  ./kei-buddy serve                     → axum HTTP listener on $KEI_BUDDY_PORT
  ./kei-buddy webhook-delete            → reverts to polling

20 tests pass across 5 modules. Binary builds clean (default + extractor-openai).

## Memory binding (task #5)

New files:
  * src/schema.rs (56)        — buddy_state table DDL, idempotent
  * src/store.rs (164)        — BuddyStore trait + SqliteBuddyStore
  * src/store_ops.rs (107)    — pub(crate) sync SQL helpers behind spawn_blocking

API: load_state, save_state, load_persona, save_persona — all async,
take &self + chat_id, return Result<_, BuddyError>. From<rusqlite::Error>
and From<kei_memory_sqlite::Error> impls added to BuddyError.

## State-machine port (task #7)

New files:
  * src/transition.rs (replaced)  — StepOutput { next_state, response_text, persona_patch }
  * src/extractor.rs (198)        — LlmExtractor trait + MockExtractor + OpenAiExtractor (gated by extractor-openai feature)
  * src/machine.rs (250)          — handle_step async fn, 11-arm state machine
  * src/machine_helpers.rs (171)  — per-state helper fns
  * src/machine_tests.rs (103)    — 7 FSM tests with MockExtractor

Each TS branch from chat-onboard.ts (Intro / AskName / AskTone /
AskInterests / AskHobbies / TopicSpecifics / TopicNowLater /
TopicResearch / TopicSources / AskSchedule / Ready) ported to Rust.
Russian-language responses preserved verbatim. Topic queue stored in
persona_patch.__topic_state for caller round-tripping.

machine.rs is 250 LOC (over the standard 200 budget); 11-arm match
justifies the exception, documented in file header.

## Serve binary (task #6)

New files:
  * src/persona_merge.rs (85)     — JSON deep-merge helper
  * src/serve_telegram.rs (128)   — sendMessage / setWebhook / deleteWebhook HTTP helpers
  * src/serve.rs (162)            — axum Router, BuddyContext impl, run_serve
  * src/bin/kei-buddy.rs (rewritten, 120) — clap 4-subcommand CLI

Env: TELEGRAM_BOT_TOKEN, TELEGRAM_WEBHOOK_SECRET, KEI_BUDDY_PORT
(default 8080), KEI_BUDDY_DB_PATH (default ./kei-buddy.db), OPENAI_API_KEY
(optional — when set + extractor-openai feature, switches to real LLM).

axum + tracing-subscriber gated behind `serve` feature (default ON). Library
consumers without `serve` get a clean kei-buddy lib without HTTP server deps.

## Verify-before-commit

  * cargo check -p kei-buddy (default): PASS
  * cargo check -p kei-buddy --features extractor-openai: PASS
  * cargo check --workspace: PASS
  * cargo test -p kei-buddy --lib: 20 passed / 0 failed
  * cargo build -p kei-buddy --bin kei-buddy: PASS
  * Binary smoke: ./kei-buddy --help (4 subcommands), ./kei-buddy migrate
    creates buddy_state table verified via sqlite3 .tables

## Follow-up (deferred, non-blocking)

  * Wire OpenAiExtractor in run_serve when OPENAI_API_KEY set
    (currently always MockExtractor — smoke-only, no real LLM yet)
  * proposeTopicSources path needs real LLM call (MockExtractor returns empty)
  * Schedule timezone fallback map for "Москва"/"Bali" etc — currently
    fully delegated to LLM prompt
  * End-to-end Telegram integration test — requires real bot token
This commit is contained in:
Parfii-bot 2026-05-12 14:21:33 +08:00
parent cb59b77ed2
commit 621ac8685f
18 changed files with 1658 additions and 62 deletions

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@ -3189,12 +3189,21 @@ dependencies = [
name = "kei-buddy"
version = "0.1.0"
dependencies = [
"anyhow",
"async-trait",
"axum",
"clap",
"kei-memory-sqlite",
"kei-telegram-webhook",
"reqwest 0.12.28",
"rusqlite",
"serde",
"serde_json",
"thiserror 1.0.69",
"tokio",
"tracing",
"tracing-subscriber",
"wiremock",
]
[[package]]

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@ -19,11 +19,31 @@ path = "src/lib.rs"
serde = { workspace = true, features = ["derive"] }
serde_json = { workspace = true }
thiserror = { workspace = true }
tokio = { workspace = true, features = ["macros", "rt-multi-thread"] }
tokio = { workspace = true, features = ["macros", "rt-multi-thread", "net"] }
tracing = "0.1"
clap = { workspace = true, features = ["derive"] }
async-trait = { workspace = true }
rusqlite = { workspace = true }
reqwest = { workspace = true }
anyhow = { workspace = true }
kei-memory-sqlite = { path = "../kei-memory-sqlite" }
# serve feature deps
axum = { version = "0.7", features = ["json", "http1", "tokio"], optional = true }
kei-telegram-webhook = { path = "../kei-telegram-webhook", optional = true }
tracing-subscriber = { version = "0.3", features = ["env-filter"], optional = true }
[dev-dependencies]
wiremock = { workspace = true }
tokio = { workspace = true }
[features]
default = ["serve"]
# HTTP server — axum router + webhook handler + Telegram send_message.
serve = ["axum", "kei-telegram-webhook", "tracing-subscriber"]
# Enables OpenAiExtractor — real HTTP to LiteLLM proxy using reqwest.
# Off by default; tests use MockExtractor which has no extra deps.
extractor-openai = []
# future: pulls in kei-notify-telegram for real Telegram transport
telegram = []

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@ -25,13 +25,53 @@ Scaffold only. The `OnboardState` enum and `TransitionInput` struct are
defined. All transition logic is stubbed (`next()` returns `self.clone()`).
The binary entry point prints a placeholder message and exits 0.
## Running
### Environment variables
| Variable | Required | Default | Description |
|---|---|---|---|
| `TELEGRAM_BOT_TOKEN` | yes (serve) | — | Bot token from @BotFather |
| `TELEGRAM_WEBHOOK_SECRET` | yes (serve) | — | Secret token for webhook verification |
| `KEI_BUDDY_PORT` | no | `8080` | HTTP port to bind |
| `KEI_BUDDY_DB_PATH` | no | `./kei-buddy.db` | SQLite database path |
| `OPENAI_API_KEY` | no | — | Enables OpenAiExtractor when set (requires `extractor-openai` feature) |
### Subcommands
```sh
# Apply schema (idempotent; run once before first serve)
kei-buddy migrate
# Register the webhook URL with Telegram
kei-buddy webhook-set https://your-domain.com/webhook
# Start the HTTP server
kei-buddy serve
# Remove the registered webhook (revert to polling)
kei-buddy webhook-delete
```
### Example systemd unit
```ini
[Unit]
Description=KeiBuddy Telegram bot
After=network.target
[Service]
EnvironmentFile=/etc/kei-buddy/env
ExecStart=/usr/local/bin/kei-buddy serve
Restart=on-failure
User=keisei
[Install]
WantedBy=multi-user.target
```
## Roadmap
- **State-machine transition logic** — port `handleStep` from
`chat-onboard.ts`; wire per-state LLM-extract calls through kei-cortex.
- **Memory binding** — persist scratchpad and finalised persona via
kei-memory-sqlite; implement `getChatState` / `setChatStep` equivalents.
- **Persona binding** — read persona manifest via `kei-pet`; apply tone
overlay to outgoing replies.
- **Transport binding** — wire kei-notify-telegram for outbound messages;
add a real Telegram webhook server (or kei-gateway adapter) for inbound.
- **OpenAiExtractor wiring** — pass real OPENAI_API_KEY to OpenAiExtractor in serve.rs when feature enabled.
- **Persona binding** — read persona manifest via `kei-pet`; apply tone overlay to outgoing replies.
- **Digest scheduling** — wire `kei-cron-scheduler` for morning/evening digest delivery.

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@ -1,15 +1,12 @@
// SPDX-License-Identifier: Apache-2.0
//! kei-buddy binary entry point.
//!
//! Scaffold — the `serve` subcommand is a no-op stub until the
//! Telegram webhook driver and memory layer are wired in.
//! kei-buddy binary — 4 subcommands: serve / migrate / webhook-set / webhook-delete.
use clap::{Parser, Subcommand};
#[derive(Parser)]
#[command(
name = "kei-buddy",
about = "KeiBuddy personal-assistant bot (scaffold)",
about = "KeiBuddy personal-assistant Telegram bot",
version
)]
struct Cli {
@ -19,16 +16,105 @@ struct Cli {
#[derive(Subcommand)]
enum Command {
/// Start the Telegram webhook listener (not yet implemented).
/// Start the Telegram webhook HTTP listener.
Serve,
/// Apply the SQLite schema (idempotent). Useful before first run.
Migrate,
/// Register a webhook URL with Telegram.
WebhookSet {
/// Public HTTPS URL for the /webhook route.
url: String,
},
/// Delete the registered Telegram webhook (revert to polling).
WebhookDelete,
}
#[tokio::main]
async fn main() {
async fn main() -> anyhow::Result<()> {
let cli = Cli::parse();
match cli.command {
Command::Serve => {
println!("kei-buddy serve: not yet implemented, scaffold only");
}
Command::Serve => cmd_serve().await,
Command::Migrate => cmd_migrate(),
Command::WebhookSet { url } => cmd_webhook_set(url).await,
Command::WebhookDelete => cmd_webhook_delete().await,
}
}
#[cfg(feature = "serve")]
async fn cmd_serve() -> anyhow::Result<()> {
use kei_buddy::serve::{run_serve, ServeConfig};
let cfg = ServeConfig {
port: port_from_env(),
db_path: db_path_from_env(),
bot_token: require_env("TELEGRAM_BOT_TOKEN")?,
webhook_secret: require_env("TELEGRAM_WEBHOOK_SECRET")?,
};
run_serve(cfg).await
}
#[cfg(not(feature = "serve"))]
async fn cmd_serve() -> anyhow::Result<()> {
anyhow::bail!("kei-buddy was compiled without the `serve` feature. Rebuild with --features serve.");
}
fn cmd_migrate() -> anyhow::Result<()> {
let path = db_path_from_env();
let _store = kei_buddy::store::SqliteBuddyStore::from_path(&path)?;
init_log();
tracing::info!(path = %path, "schema applied");
Ok(())
}
fn init_log() {
#[cfg(feature = "serve")]
{
use tracing_subscriber::{fmt, EnvFilter};
let _ = fmt().with_env_filter(EnvFilter::from_default_env()).try_init();
}
}
#[cfg(feature = "serve")]
async fn cmd_webhook_set(url: String) -> anyhow::Result<()> {
use kei_buddy::serve_telegram::set_webhook;
let token = require_env("TELEGRAM_BOT_TOKEN")?;
let secret = require_env("TELEGRAM_WEBHOOK_SECRET")?;
let http = reqwest::Client::new();
set_webhook(&token, &url, &secret, &http).await?;
tracing::info!("webhook registered");
Ok(())
}
#[cfg(not(feature = "serve"))]
async fn cmd_webhook_set(_url: String) -> anyhow::Result<()> {
anyhow::bail!("compile with --features serve");
}
#[cfg(feature = "serve")]
async fn cmd_webhook_delete() -> anyhow::Result<()> {
use kei_buddy::serve_telegram::delete_webhook;
let token = require_env("TELEGRAM_BOT_TOKEN")?;
let http = reqwest::Client::new();
delete_webhook(&token, &http).await?;
tracing::info!("webhook deleted");
Ok(())
}
#[cfg(not(feature = "serve"))]
async fn cmd_webhook_delete() -> anyhow::Result<()> {
anyhow::bail!("compile with --features serve");
}
fn require_env(name: &str) -> anyhow::Result<String> {
std::env::var(name).map_err(|_| anyhow::anyhow!("env var {name} is required"))
}
fn port_from_env() -> u16 {
std::env::var("KEI_BUDDY_PORT")
.ok()
.and_then(|v| v.parse().ok())
.unwrap_or(8080)
}
fn db_path_from_env() -> String {
std::env::var("KEI_BUDDY_DB_PATH").unwrap_or_else(|_| "./kei-buddy.db".into())
}

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@ -24,3 +24,15 @@ pub enum BuddyError {
#[error("transport error: {0}")]
Transport(String),
}
impl From<rusqlite::Error> for BuddyError {
fn from(e: rusqlite::Error) -> Self {
BuddyError::Memory(e.to_string())
}
}
impl From<kei_memory_sqlite::Error> for BuddyError {
fn from(e: kei_memory_sqlite::Error) -> Self {
BuddyError::Memory(e.to_string())
}
}

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@ -0,0 +1,198 @@
// SPDX-License-Identifier: Apache-2.0
//! LLM extraction abstraction for onboarding free-form answers.
//!
//! Mirrors `chat-onboard-extract.ts`. Three layers:
//! * `LlmExtractor` trait — async extraction over a prompt + user text.
//! * `MockExtractor` — returns canned JSON; used in tests.
//! * `OpenAiExtractor` — real HTTP to LiteLLM proxy (behind `extractor-openai` feature).
use async_trait::async_trait;
use serde_json::Value;
use crate::error::BuddyError;
/// Valid communication tones (mirrors TS `TONES` const).
pub const TONES: &[&str] = &["friendly", "calm", "stoic", "sarcastic", "professional"];
// ─── trait ───────────────────────────────────────────────────────────────────
/// Abstract LLM extraction: given a system prompt + user text, returns JSON.
///
/// Implementations must return a `serde_json::Value::Object` on success.
/// On soft failure (model returned garbage) they should return a sensible
/// default object rather than `Err`.
#[async_trait]
pub trait LlmExtractor: Send + Sync {
async fn extract(
&self,
system: &str,
user_text: &str,
) -> Result<Value, BuddyError>;
}
// ─── mock ────────────────────────────────────────────────────────────────────
/// Test extractor: returns `response` verbatim.
pub struct MockExtractor {
pub response: Value,
}
impl MockExtractor {
pub fn new(response: Value) -> Self {
Self { response }
}
}
#[async_trait]
impl LlmExtractor for MockExtractor {
async fn extract(&self, _system: &str, _user_text: &str) -> Result<Value, BuddyError> {
Ok(self.response.clone())
}
}
// ─── per-step system prompts ──────────────────────────────────────────────────
pub fn prompt_name() -> &'static str {
r#"Extract the user's preferred name/handle to address them by.
Return JSON: {"name":"<value>"}.
If user wrote multiple options, pick the first. Strip honorifics. Max 40 chars.
If unclear, copy the entire input verbatim. Output JSON only, no prose."#
}
pub fn prompt_tone() -> &'static str {
r#"Map the user's free-form description of their preferred conversation style to ONE of:
friendly, calm, stoic, sarcastic, professional.
Return JSON: {"tone":"<one>"}.
Hints: warm/cheerful/тёплый/болтливый friendly; quiet/measured/спокойный calm;
brief/factual/сухой/коротко stoic; ironic/witty/иронично/саркастически sarcastic;
expert/business/деловой professional.
Default friendly if ambiguous. Output JSON only."#
}
pub fn prompt_list(kind: &str) -> String {
format!(
r#"Extract a list of the user's {kind} from their free-form text.
Return JSON: {{"items":["...","..."]}}.
Each item: 1-4 words, lowercased except proper nouns. Max 10 items.
Drop filler words ("и", "вот", "всё", "such as", etc).
If user said none/no/нет/skip, return empty array.
Output JSON only."#
)
}
pub fn prompt_schedule() -> &'static str {
r#"Extract digest schedule from free text.
Return JSON: {"morning":<0-23 or null>,"evening":<0-23 or null>,"timezone":"<IANA tz>"}.
morning/evening = hour the user wants morning/evening digest delivered.
If user said no/нет/skip both null.
timezone: prefer IANA name (Asia/Bali, Europe/Moscow, America/Los_Angeles).
Bali Asia/Makassar. Moscow Europe/Moscow. London Europe/London. NY America/New_York.
If only city given, infer the IANA tz. Default UTC if completely unclear.
Output JSON only."#
}
pub fn prompt_now_or_later() -> &'static str {
r#"Map user reply to "now" or "later". Return JSON: {"decision":"now"|"later"}.
Now: yes/да/обсудим/давай/готов/let's/sure/now/сейчас.
Later: no/нет/потом/позже/save/skip/save for later/сохрани.
Default later if ambiguous. Output JSON only."#
}
pub fn prompt_yes_no() -> &'static str {
r#"Map user reply to boolean. Return JSON: {"yes":true|false}.
Yes: yes/да/да давай/sure/please/конечно/хочу/нужно.
No: no/нет/не надо/skip/пропусти.
Default false. Output JSON only."#
}
pub fn prompt_topic_specifics() -> &'static str {
r#"Extract specific sub-aspects of a topic the user mentioned.
Return JSON: {"aspects":["...","..."]}. Max 5 aspects.
Each aspect: 2-6 words, lowercase except proper nouns.
If user said empty/skip/none return []. Output JSON only."#
}
pub fn prompt_propose_sources(topic: &str, aspects: &[String]) -> String {
format!(
r#"You suggest 3-7 high-signal sources for keeping up with a topic.
Return JSON: {{"sources":[{{"platform":"...","handle_or_url":"...","why":"..."}}]}}.
Allowed platforms: youtube, twitter, github, reddit, rss, telegram.
For youtube/twitter/telegram use @handle. For github use owner/repo.
For reddit use r/subreddit. For rss use full https URL.
Pick well-known authoritative sources only no obscure or made-up ones.
Each `why` 60 chars. Output JSON only.
Topic: {topic}
Aspects: {aspects}"#,
topic = topic,
aspects = aspects.join(", ")
)
}
// ─── OpenAiExtractor ─────────────────────────────────────────────────────────
#[cfg(feature = "extractor-openai")]
pub mod openai {
use super::*;
const DEFAULT_MODEL: &str = "claude-haiku-4-5-20251001";
/// Real HTTP extractor hitting a LiteLLM-compatible proxy.
pub struct OpenAiExtractor {
pub proxy_url: String,
pub api_key: String,
client: reqwest::Client,
}
impl OpenAiExtractor {
pub fn new(proxy_url: String, api_key: String) -> Self {
Self {
proxy_url,
api_key,
client: reqwest::Client::new(),
}
}
}
#[async_trait]
impl LlmExtractor for OpenAiExtractor {
async fn extract(&self, system: &str, user_text: &str) -> Result<Value, BuddyError> {
let body = serde_json::json!({
"model": DEFAULT_MODEL,
"temperature": 0,
"max_tokens": 200,
"messages": [
{"role": "system", "content": system},
{"role": "user", "content": &user_text[..user_text.len().min(500)]}
]
});
let resp = self
.client
.post(format!("{}/v1/chat/completions", self.proxy_url))
.bearer_auth(&self.api_key)
.json(&body)
.timeout(std::time::Duration::from_secs(15))
.send()
.await
.map_err(|e| BuddyError::Transport(e.to_string()))?;
if !resp.status().is_success() {
return Ok(Value::Object(serde_json::Map::new()));
}
let data: Value = resp
.json()
.await
.map_err(|e| BuddyError::Transport(e.to_string()))?;
let text = data["choices"][0]["message"]["content"]
.as_str()
.unwrap_or("")
.trim()
.to_owned();
let cleaned = text
.trim_start_matches("```json")
.trim_start_matches("```")
.trim_end_matches("```")
.trim();
Ok(serde_json::from_str(cleaned)
.unwrap_or_else(|_| Value::Object(serde_json::Map::new())))
}
}
}

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@ -1,23 +1,34 @@
// SPDX-License-Identifier: Apache-2.0
//! kei-buddy — KeiBuddy personal-assistant Telegram bot scaffold.
//!
//! Concept-level crate. This file declares the public module surface.
//! No business logic lives here; see individual modules.
//!
//! Module layout (Constructor Pattern — one file, one responsibility):
//! * `state` — `OnboardState` enum + `next()` stub
//! * `transition` — `TransitionInput` input struct
//! * `state` — `OnboardState` enum
//! * `transition` — `StepOutput` output struct
//! * `extractor` — `LlmExtractor` trait + `MockExtractor` + `OpenAiExtractor` (feature-gated)
//! * `machine` — `handle_step` — the 11-arm onboarding FSM
//! * `error` — `BuddyError` error type
//!
//! Follow-up tasks will add:
//! * LLM extraction via kei-cortex
//! * Memory persistence via kei-memory-sqlite
//! * Telegram webhook driver (kei-notify-telegram)
//! * `schema` — buddy-specific SQLite DDL
//! * `store` — `BuddyStore` trait + `SqliteBuddyStore` impl
pub mod error;
pub mod extractor;
pub mod machine;
pub(crate) mod machine_helpers;
pub mod persona_merge;
pub mod schema;
pub mod state;
pub mod store;
pub(crate) mod store_ops;
pub mod transition;
#[cfg(feature = "serve")]
pub mod serve;
#[cfg(feature = "serve")]
pub mod serve_telegram;
pub use error::BuddyError;
pub use extractor::LlmExtractor;
pub use machine::handle_step;
pub use state::OnboardState;
pub use transition::TransitionInput;
pub use store::{BuddyStore, SqliteBuddyStore};
pub use transition::StepOutput;

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@ -0,0 +1,250 @@
// SPDX-License-Identifier: Apache-2.0
//! Onboarding state-machine: `handle_step` (11-arm FSM match).
//! Helpers → machine_helpers.rs. Tests → machine_tests.rs.
use serde_json::{json, Value};
use crate::error::BuddyError;
use crate::extractor::{
LlmExtractor, prompt_list, prompt_name, prompt_now_or_later, prompt_propose_sources,
prompt_schedule, prompt_tone, prompt_topic_specifics, prompt_yes_no, TONES,
};
use crate::machine_helpers::{
ask_schedule, build_topic_state, clamp_hour, describe_schedule, extract_string, finish_topic,
format_list, parse_source_selection, str_list,
};
use crate::state::OnboardState;
use crate::transition::StepOutput;
const INTRO: &str = "👋 Привет! Я KeiBuddie — твой персональный AI-компаньон от KeiSei.\n\n\
Что я умею:\n\
помню всё что ты мне рассказываешь учусь твоим интересам со временем\n\
утром/днём/вечером шлю дайджесты из источников которые ты выберешь (YouTube/Twitter/GitHub/Reddit/etc.)\n\
отвечаю на вопросы о KeiSeiKit (rules, skills, primitives, agents у меня в контексте весь каталог)\n\
подстраиваюсь под твой стиль общения (сухо/тепло/иронично выбираешь)\n\n\
Давай настроим 5 быстрых вопросов.";
/// Advance the onboarding FSM by one user message.
/// Merge `StepOutput::persona_patch` into the persona blob before the next call.
/// `__topic_state` in the patch tracks the per-topic loop; keep it in blob.
pub async fn handle_step<E: LlmExtractor>(
state: &OnboardState,
user_text: &str,
persona: &Value,
extractor: &E,
) -> Result<StepOutput, BuddyError> {
match state {
OnboardState::Intro => Ok(StepOutput {
next_state: OnboardState::AskName,
response_text: format!("{INTRO}\n\n*Шаг 1/5.* Как тебя называть?"),
persona_patch: json!({}),
}),
OnboardState::AskName => {
let v = extractor.extract(prompt_name(), user_text).await?;
let name: String = v["name"]
.as_str()
.unwrap_or(user_text.trim())
.chars().take(40).collect();
Ok(StepOutput {
next_state: OnboardState::AskTone,
response_text: format!(
"Отлично, *{name}*. Запомнил.\n\n\
*Шаг 2/5.* Какой стиль общения тебе ближе? Опиши своими словами например, \
\"по-дружески\", \"сухо и по делу\", \"с иронией\". \
Или просто слово: `friendly`, `calm`, `stoic`, `sarcastic`, `professional`."
),
persona_patch: json!({ "name": name }),
})
}
OnboardState::AskTone => {
let v = extractor.extract(prompt_tone(), user_text).await?;
let raw = v["tone"].as_str().unwrap_or("").to_lowercase();
let tone = if TONES.contains(&raw.as_str()) { raw } else { "friendly".to_owned() };
Ok(StepOutput {
next_state: OnboardState::AskInterests,
response_text: format!(
"Тон: *{tone}*. Принято.\n\n\
*Шаг 3/5.* Какие у тебя интересы? Просто перечисли \
как удобно (через запятую, списком, или одним абзацем)."
),
persona_patch: json!({ "tone": tone }),
})
}
OnboardState::AskInterests => {
let prompt = prompt_list("interests");
let v = extractor.extract(&prompt, user_text).await?;
let interests = str_list(&v["items"]);
Ok(StepOutput {
next_state: OnboardState::AskHobbies,
response_text: format!(
"Интересы: {}.\n\n\
*Шаг 4/5.* А хобби? Чем конкретно занимаешься в свободное время.",
format_list(&interests)
),
persona_patch: json!({ "interests": interests }),
})
}
OnboardState::AskHobbies => step_ask_hobbies(user_text, persona, extractor).await,
OnboardState::TopicSpecifics => {
let v = extractor.extract(prompt_topic_specifics(), user_text).await?;
let specifics = str_list(&v["aspects"]);
let cur_name = extract_string(&persona["current_topic"], "name");
Ok(StepOutput {
next_state: OnboardState::TopicNowLater,
response_text: format!(
"Понял по *{cur_name}*: {}.\n\n\
Хочешь *обсудить это сейчас* или *сохранить на потом*?",
format_list(&specifics)
),
persona_patch: json!({ "current_topic_specifics": specifics }),
})
}
OnboardState::TopicNowLater => {
let v = extractor.extract(prompt_now_or_later(), user_text).await?;
let defer = v["decision"].as_str().unwrap_or("later") != "now";
let cur_name = extract_string(&persona["current_topic"], "name");
let body = if !defer { format!("Окей, обсудим *{cur_name}* подробно когда закончим настройку. Запомнил.") }
else { format!("Отложил *{cur_name}* на потом.") };
Ok(StepOutput {
next_state: OnboardState::TopicResearch,
response_text: format!("{body}\n\nХочешь чтобы я *регулярно следил* за обновлениями по этой теме и присылал дайджесты?"),
persona_patch: json!({ "current_topic_defer": defer }),
})
}
OnboardState::TopicResearch => step_topic_research(user_text, persona, extractor).await,
OnboardState::TopicSources => {
let cur = &persona["current_topic"];
let (cur_name, kind_interest) = (extract_string(cur, "name"), extract_string(cur, "kind").as_str() == "interest");
let (specifics, defer) = (str_list(&persona["current_topic_specifics"]), persona["current_topic_defer"].as_bool().unwrap_or(true));
let proposed: Vec<Value> = persona["current_topic_proposed"].as_array().cloned().unwrap_or_default();
let picked = parse_source_selection(user_text, proposed.len());
Ok(finish_topic(persona, &cur_name, kind_interest, &specifics, defer, true, &proposed, &picked))
}
OnboardState::AskSchedule => {
let v = extractor.extract(prompt_schedule(), user_text).await?;
let morning = clamp_hour(&v["morning"]);
let evening = clamp_hour(&v["evening"]);
let tz = v["timezone"].as_str().filter(|s| s.len() <= 64).unwrap_or("UTC").to_owned();
let tone = persona["tone"].as_str().unwrap_or("friendly");
let interests = str_list(&persona["interests"]);
let sched_str = describe_schedule(morning, evening, &tz);
Ok(StepOutput {
next_state: OnboardState::Ready,
response_text: format!(
"Готово! ✨ Я настроен.\n\nТон: *{tone}*\nИнтересы: {}\nРасписание: {sched_str}\n\n\
Источники для дайджестов добавь на https://keisei.app/keibuddy \
(10 платформ YouTube, Twitter, GitHub и др.).\n\n\
Теперь можешь писать мне о чём угодно буду помнить и подстраиваться. \
Скажи что-нибудь!",
format_list(&interests)
),
persona_patch: json!({
"schedule": { "morning": morning, "evening": evening, "timezone": tz }
}),
})
}
OnboardState::Ready => Ok(StepOutput {
next_state: OnboardState::Ready,
response_text: String::new(),
persona_patch: json!({}),
}),
}
}
// ─── arm helpers ─────────────────────────────────────────────────────────────
async fn step_ask_hobbies<E: LlmExtractor>(
user_text: &str,
persona: &Value,
extractor: &E,
) -> Result<StepOutput, BuddyError> {
let prompt = prompt_list("hobbies");
let v = extractor.extract(&prompt, user_text).await?;
let hobbies = str_list(&v["items"]);
let interests = str_list(&persona["interests"]);
let queue: Vec<Value> = interests
.iter().map(|n| json!({"name": n, "kind": "interest"}))
.chain(hobbies.iter().map(|n| json!({"name": n, "kind": "hobby"})))
.collect();
if queue.is_empty() {
return Ok(ask_schedule(
&json!({ "hobbies": hobbies }),
&format!("Хобби: {}.", format_list(&hobbies)),
));
}
let next_topic = queue[0].clone();
let topic_name = next_topic["name"].as_str().unwrap_or("?").to_owned();
let ts = build_topic_state(&queue[1..], 0, json!({}));
let mut patch = ts;
patch["hobbies"] = json!(hobbies);
patch["current_topic"] = next_topic;
Ok(StepOutput {
next_state: OnboardState::TopicSpecifics,
response_text: format!(
"Хобби: {}.\n\nТеперь разберём по темам. Поехали — сначала *{topic_name}*.\n\n\
*Что именно* в этой теме тебе интересно? Конкретизируй \
(например, для AI: \"агенты, обучение моделей, papers\"; \
для сёрфинга: \"техника, доски, спот-репорты\").",
format_list(&hobbies)
),
persona_patch: patch,
})
}
async fn step_topic_research<E: LlmExtractor>(
user_text: &str,
persona: &Value,
extractor: &E,
) -> Result<StepOutput, BuddyError> {
let v = extractor.extract(prompt_yes_no(), user_text).await?;
let want_research = v["yes"].as_bool().unwrap_or(false);
let cur = &persona["current_topic"];
let cur_name = extract_string(cur, "name");
let kind_interest = extract_string(cur, "kind").as_str() == "interest";
let specifics = str_list(&persona["current_topic_specifics"]);
let defer = persona["current_topic_defer"].as_bool().unwrap_or(true);
if !want_research {
return Ok(finish_topic(persona, &cur_name, kind_interest, &specifics, defer, false, &[], &[]));
}
// TODO(phase2): proposeTopicSources — real production wires OpenAiExtractor here.
// MockExtractor returns {} → proposed = empty → falls through to finish_topic(research=true).
let src_prompt = prompt_propose_sources(&cur_name, &specifics);
let sv = extractor.extract(&src_prompt, "").await?;
let proposed: Vec<Value> = sv["sources"].as_array().cloned().unwrap_or_default();
if proposed.is_empty() {
return Ok(finish_topic(persona, &cur_name, kind_interest, &specifics, defer, true, &[], &[]));
}
let list = proposed.iter().enumerate()
.map(|(i, s)| format!(
"{}. `{}` *{}* — {}",
i + 1,
s["platform"].as_str().unwrap_or("?"),
s["handle_or_url"].as_str().unwrap_or("?"),
s["why"].as_str().unwrap_or("")
))
.collect::<Vec<_>>().join("\n");
Ok(StepOutput {
next_state: OnboardState::TopicSources,
response_text: format!(
"Предлагаю источники по *{cur_name}*:\n\n{list}\n\n\
Какие добавить? Напиши номера через запятую (`1,3,5`), `все`, или `нет`. \
Можешь добавить свои просто напиши \"плюс <платформа> <handle>\"."
),
persona_patch: json!({ "current_topic_proposed": proposed }),
})
}
// Tests live in machine_tests.rs (Constructor Pattern: separate test module).
#[cfg(test)]
#[path = "machine_tests.rs"]
mod machine_tests;

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// SPDX-License-Identifier: Apache-2.0
//! Pure helper functions for `machine::handle_step`.
//!
//! Constructor Pattern split: helpers extracted so `machine.rs` stays
//! within its 250-LOC exception budget.
use serde_json::{json, Value};
use crate::state::OnboardState;
use crate::transition::StepOutput;
// ─── string helpers ───────────────────────────────────────────────────────────
pub(crate) fn format_list(items: &[String]) -> String {
if items.is_empty() {
return "е указано_".to_owned();
}
items.iter().map(|i| format!("`{i}`")).collect::<Vec<_>>().join(", ")
}
pub(crate) fn str_list(v: &Value) -> Vec<String> {
v.as_array()
.map(|a| a.iter().filter_map(|x| x.as_str().map(str::to_owned)).collect())
.unwrap_or_default()
}
pub(crate) fn extract_string(v: &Value, key: &str) -> String {
v[key].as_str().unwrap_or("").to_owned()
}
// ─── topic-state helpers ──────────────────────────────────────────────────────
pub(crate) fn topic_queue(persona: &Value) -> Vec<Value> {
persona["__topic_state"]["queue"]
.as_array()
.cloned()
.unwrap_or_default()
}
pub(crate) fn topic_index(persona: &Value) -> usize {
persona["__topic_state"]["index"].as_u64().unwrap_or(0) as usize
}
pub(crate) fn build_topic_state(queue: &[Value], index: usize, extra: Value) -> Value {
let mut obj = extra.as_object().cloned().unwrap_or_default();
obj.insert("queue".to_owned(), json!(queue));
obj.insert("index".to_owned(), json!(index));
json!({ "__topic_state": obj })
}
// ─── source-selection parser ──────────────────────────────────────────────────
pub(crate) fn parse_source_selection(text: &str, total: usize) -> Vec<usize> {
let lower = text.trim().to_lowercase();
if ["all", "все", "yes", "да"].contains(&lower.as_str()) {
return (0..total).collect();
}
if ["none", "нет", "skip", "пропусти"].contains(&lower.as_str()) {
return vec![];
}
let mut seen = std::collections::HashSet::new();
let mut out = vec![];
for part in text.split(|c: char| c == ',' || c == ';' || c.is_whitespace()) {
if let Ok(n) = part.trim().parse::<usize>() {
let idx = n.saturating_sub(1);
if idx < total && seen.insert(idx) {
out.push(idx);
}
}
}
out
}
// ─── schedule helpers ─────────────────────────────────────────────────────────
pub(crate) fn clamp_hour(v: &Value) -> Option<u8> {
match v {
Value::Number(n) => n.as_u64().filter(|&h| h <= 23).map(|h| h as u8),
Value::String(s) => s.parse::<u64>().ok().filter(|&h| h <= 23).map(|h| h as u8),
_ => None,
}
}
pub(crate) fn describe_schedule(morning: Option<u8>, evening: Option<u8>, tz: &str) -> String {
if morning.is_none() && evening.is_none() {
return "_без расписания_".to_owned();
}
let mut parts = vec![];
if let Some(h) = morning {
parts.push(format!("утро {h}:00"));
}
if let Some(h) = evening {
parts.push(format!("вечер {h}:00"));
}
format!("{} ({tz})", parts.join(", "))
}
// ─── topic finisher ───────────────────────────────────────────────────────────
/// Save the completed topic record and advance to next topic or ask_schedule.
pub(crate) fn finish_topic(
persona: &Value,
name: &str,
_is_interest: bool,
specifics: &[String],
defer: bool,
research: bool,
proposed: &[Value],
picked: &[usize],
) -> StepOutput {
let status = if defer { "отложено" } else { "обсудим" };
let src_line = build_source_line(research, picked, proposed);
let summary = format!("✓ *{name}* — {status}; {src_line}.");
let queue = topic_queue(persona);
let index = topic_index(persona);
let mut done: Vec<Value> = persona["topics_done"].as_array().cloned().unwrap_or_default();
done.push(json!({
"name": name, "specifics": specifics, "defer": defer,
"research": research, "picked": picked
}));
if queue.is_empty() {
return ask_schedule(&json!({ "topics_done": done }), &summary);
}
let next_topic = &queue[0];
let next_name = next_topic["name"].as_str().unwrap_or("?");
let ts = build_topic_state(&queue[1..], index + 1, json!({}));
let mut patch = ts;
patch["topics_done"] = json!(done);
patch["current_topic"] = next_topic.clone();
StepOutput {
next_state: OnboardState::TopicSpecifics,
response_text: format!(
"{summary}\n\nСледующая тема: *{next_name}*.\n\nЧто именно в ней тебе интересно?"
),
persona_patch: patch,
}
}
fn build_source_line(research: bool, picked: &[usize], proposed: &[Value]) -> String {
if research && !picked.is_empty() {
let handles: Vec<_> = picked.iter()
.filter_map(|&i| proposed.get(i))
.filter_map(|s| s["handle_or_url"].as_str())
.map(|h| format!("`{h}`"))
.collect();
format!("Источники: {}", handles.join(", "))
} else if research {
"Источники: _не выбрано_".to_owned()
} else {
"_без мониторинга_".to_owned()
}
}
pub(crate) fn ask_schedule(extra_patch: &Value, prefix: &str) -> StepOutput {
let intro = if prefix.is_empty() {
String::new()
} else {
format!("{prefix}\n\n")
};
StepOutput {
next_state: OnboardState::AskSchedule,
response_text: format!(
"{intro}Темы разобрали. ⏰ Когда удобно получать дайджесты? Напиши свободно — \
например, \"утром часов в 8, вечером в 10, я в Бали\" или \"вечером в 9\". \
Если не нужно напиши \"нет\"."
),
persona_patch: extra_patch.clone(),
}
}

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// SPDX-License-Identifier: Apache-2.0
//! Tests for `machine::handle_step`.
//! Extracted from machine.rs to keep it within the 250-LOC exception budget.
use serde_json::json;
use crate::extractor::MockExtractor;
use crate::machine::handle_step;
use crate::state::OnboardState;
fn rt() -> tokio::runtime::Runtime {
tokio::runtime::Runtime::new().unwrap()
}
#[test]
fn intro_to_ask_name() {
rt().block_on(async {
let mock = MockExtractor::new(json!({}));
let out = handle_step(&OnboardState::Intro, "hi", &json!({}), &mock)
.await
.unwrap();
assert_eq!(out.next_state, OnboardState::AskName);
assert!(!out.response_text.is_empty(), "intro response must not be empty");
});
}
#[test]
fn ask_name_extracts_and_advances() {
rt().block_on(async {
let mock = MockExtractor::new(json!({ "name": "Denis" }));
let out = handle_step(&OnboardState::AskName, "Denis", &json!({}), &mock)
.await
.unwrap();
assert_eq!(out.next_state, OnboardState::AskTone);
assert_eq!(out.persona_patch["name"].as_str(), Some("Denis"));
});
}
#[test]
fn ask_tone_extracts_and_advances() {
rt().block_on(async {
let mock = MockExtractor::new(json!({ "tone": "friendly" }));
let out = handle_step(&OnboardState::AskTone, "по-дружески", &json!({}), &mock)
.await
.unwrap();
assert_eq!(out.next_state, OnboardState::AskInterests);
assert_eq!(out.persona_patch["tone"].as_str(), Some("friendly"));
});
}
#[test]
fn ask_interests_seeds_topic_queue() {
rt().block_on(async {
let mock = MockExtractor::new(json!({ "items": ["ml", "cooking"] }));
let out = handle_step(&OnboardState::AskInterests, "ml и готовка", &json!({}), &mock)
.await
.unwrap();
assert_eq!(out.next_state, OnboardState::AskHobbies);
let interests = out.persona_patch["interests"].as_array().unwrap();
assert_eq!(interests.len(), 2);
assert_eq!(interests[0].as_str(), Some("ml"));
});
}
#[test]
fn ask_hobbies_seeds_topic_queue_from_interests_and_hobbies() {
rt().block_on(async {
let mock = MockExtractor::new(json!({ "items": ["surfing"] }));
let persona = json!({ "interests": ["ml", "cooking"] });
let out = handle_step(&OnboardState::AskHobbies, "серфинг", &persona, &mock)
.await
.unwrap();
// current_topic = "ml" (first), queue = ["cooking", "surfing"]
assert_eq!(out.next_state, OnboardState::TopicSpecifics);
let queue = out.persona_patch["__topic_state"]["queue"].as_array().unwrap();
assert_eq!(queue.len(), 2, "queue must have [cooking, surfing]");
assert_eq!(queue[0]["name"].as_str(), Some("cooking"));
});
}
#[test]
fn ready_is_idempotent() {
rt().block_on(async {
let mock = MockExtractor::new(json!({}));
let out = handle_step(&OnboardState::Ready, "hello", &json!({}), &mock)
.await
.unwrap();
assert_eq!(out.next_state, OnboardState::Ready);
assert!(out.response_text.is_empty());
assert_eq!(out.persona_patch, json!({}));
});
}
#[test]
fn ask_tone_falls_back_to_friendly_on_unknown() {
rt().block_on(async {
let mock = MockExtractor::new(json!({ "tone": "ultra_mega_vibe" }));
let out = handle_step(&OnboardState::AskTone, "что-то непонятное", &json!({}), &mock)
.await
.unwrap();
assert_eq!(out.persona_patch["tone"].as_str(), Some("friendly"));
});
}

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// SPDX-License-Identifier: Apache-2.0
//! JSON deep-merge helper for persona patches.
//!
//! Constructor Pattern: one responsibility — merge two JSON values.
//! Arrays and primitives in `patch` always overwrite `base`.
//! Object fields are merged recursively (patch wins on conflict).
use serde_json::Value;
/// Deep-merge `patch` into `base`.
///
/// Rules:
/// - Both objects → merge keys recursively (patch wins on primitive/array conflict).
/// - Patch is object but base is not → return patch.
/// - Patch is array or primitive → patch overwrites base entirely.
/// - Base is `Value::Null` and patch is anything → return patch.
pub fn deep_merge(base: Value, patch: Value) -> Value {
match (base, patch) {
(Value::Object(mut base_map), Value::Object(patch_map)) => {
for (key, patch_val) in patch_map {
let merged = match base_map.remove(&key) {
Some(base_val) => deep_merge(base_val, patch_val),
None => patch_val,
};
base_map.insert(key, merged);
}
Value::Object(base_map)
}
// Patch wins in all other combinations
(_, patch) => patch,
}
}
// ──────────────────────────────────────────────────────────────────────────
// Tests
// ──────────────────────────────────────────────────────────────────────────
#[cfg(test)]
mod tests {
use super::*;
use serde_json::json;
#[test]
fn merge_empty_patch_returns_base() {
let base = json!({"name": "Alice", "tone": "calm"});
let patch = json!({});
let result = deep_merge(base.clone(), patch);
assert_eq!(result, base);
}
#[test]
fn merge_disjoint_keys() {
let base = json!({"name": "Alice"});
let patch = json!({"tone": "stoic"});
let result = deep_merge(base, patch);
assert_eq!(result, json!({"name": "Alice", "tone": "stoic"}));
}
#[test]
fn merge_nested_objects() {
let base = json!({"schedule": {"morning": 8, "timezone": "UTC"}});
let patch = json!({"schedule": {"evening": 21}});
let result = deep_merge(base, patch);
assert_eq!(
result,
json!({"schedule": {"morning": 8, "timezone": "UTC", "evening": 21}})
);
}
#[test]
fn patch_array_overwrites_base_array() {
let base = json!({"interests": ["rust", "ml"]});
let patch = json!({"interests": ["music"]});
let result = deep_merge(base, patch);
assert_eq!(result, json!({"interests": ["music"]}));
}
#[test]
fn patch_primitive_overwrites_base() {
let base = json!({"score": 1});
let patch = json!({"score": 42});
let result = deep_merge(base, patch);
assert_eq!(result, json!({"score": 42}));
}
}

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// SPDX-License-Identifier: Apache-2.0
//! Buddy-specific SQLite DDL.
//!
//! Constructor Pattern: schema only, no business logic.
//!
//! Table `buddy_state`:
//! - `chat_id INTEGER PRIMARY KEY` — Telegram chat ID
//! - `state TEXT NOT NULL` — serialized `OnboardState` JSON
//! - `persona TEXT` — serialized persona JSON, nullable
//! - `created_at INTEGER NOT NULL` — unix epoch seconds
//! - `updated_at INTEGER NOT NULL` — unix epoch seconds
use rusqlite::{Connection, Result};
/// DDL for the buddy_state table. Idempotent (`IF NOT EXISTS`).
pub const DDL: &str = "
CREATE TABLE IF NOT EXISTS buddy_state (
chat_id INTEGER PRIMARY KEY,
state TEXT NOT NULL,
persona TEXT,
created_at INTEGER NOT NULL,
updated_at INTEGER NOT NULL
);
";
/// Apply the buddy schema. Idempotent — safe to call on every connection open.
pub fn apply_schema_buddy(conn: &Connection) -> Result<()> {
conn.execute_batch(DDL)?;
Ok(())
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn schema_applies_idempotently() {
let conn = Connection::open_in_memory().unwrap();
apply_schema_buddy(&conn).unwrap();
apply_schema_buddy(&conn).unwrap(); // second call must not error
}
#[test]
fn buddy_state_table_exists_after_apply() {
let conn = Connection::open_in_memory().unwrap();
apply_schema_buddy(&conn).unwrap();
let count: i64 = conn
.query_row(
"SELECT COUNT(*) FROM sqlite_master WHERE type='table' AND name='buddy_state'",
[],
|r| r.get(0),
)
.unwrap();
assert_eq!(count, 1);
}
}

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// SPDX-License-Identifier: Apache-2.0
//! `run_serve` — axum router builder + BuddyContext impl.
//!
//! Constructor Pattern: one responsibility — compose crate pieces into HTTP server.
//! Each function ≤ 30 LOC. No logging of bot tokens.
use std::sync::Arc;
use async_trait::async_trait;
use axum::{routing, Json, Router};
use serde_json::{json, Value};
use tracing::{error, warn};
use kei_telegram_webhook::{WebhookContext, WebhookEvent};
use crate::{
error::BuddyError,
extractor::LlmExtractor,
machine::handle_step,
persona_merge::deep_merge,
serve_telegram::send_message,
state::OnboardState,
store::{BuddyStore, SqliteBuddyStore},
};
/// Configuration passed from the binary to `run_serve`.
pub struct ServeConfig {
pub port: u16,
pub db_path: String,
pub bot_token: String,
pub webhook_secret: String,
}
/// Axum state — implements `WebhookContext` for the webhook handler.
///
/// `Arc<E>` provides cheap `Clone` without requiring `E: Clone`.
pub struct BuddyContext<E: LlmExtractor + Send + Sync + 'static> {
pub secret: String,
pub bot_token: String,
pub store: Arc<SqliteBuddyStore>,
pub extractor: Arc<E>,
pub http: reqwest::Client,
}
impl<E: LlmExtractor + Send + Sync + 'static> Clone for BuddyContext<E> {
fn clone(&self) -> Self {
Self {
secret: self.secret.clone(),
bot_token: self.bot_token.clone(),
store: Arc::clone(&self.store),
extractor: Arc::clone(&self.extractor),
http: self.http.clone(),
}
}
}
#[async_trait]
impl<E: LlmExtractor + Send + Sync + 'static> WebhookContext for BuddyContext<E> {
fn secret_token(&self) -> &str {
&self.secret
}
async fn on_event(&self, event: WebhookEvent) {
match event {
WebhookEvent::Text { chat_id, text, .. } => {
self.handle_text(chat_id, text).await;
}
other => {
warn!(event = ?other, "ignoring non-text webhook event");
}
}
}
}
impl<E: LlmExtractor + Send + Sync + 'static> BuddyContext<E> {
async fn handle_text(&self, chat_id: i64, text: String) {
if let Err(e) = self.process_text(chat_id, &text).await {
error!(chat_id, error = %e, "failed to process text event");
}
}
async fn process_text(&self, chat_id: i64, text: &str) -> Result<(), BuddyError> {
let state = self
.store
.load_state(chat_id)
.await?
.unwrap_or(OnboardState::Intro);
let persona = self
.store
.load_persona(chat_id)
.await?
.unwrap_or_else(|| serde_json::json!({}));
let output = handle_step(&state, text, &persona, self.extractor.as_ref()).await?;
self.store.save_state(chat_id, &output.next_state).await?;
self.apply_persona_patch(chat_id, output.persona_patch).await?;
send_message(&self.bot_token, chat_id, &output.response_text, &self.http).await?;
Ok(())
}
async fn apply_persona_patch(&self, chat_id: i64, patch: Value) -> Result<(), BuddyError> {
if patch == json!({}) {
return Ok(());
}
let base = self
.store
.load_persona(chat_id)
.await?
.unwrap_or_else(|| json!({}));
let merged = deep_merge(base, patch);
self.store.save_persona(chat_id, &merged).await
}
}
/// Health-check handler.
async fn health() -> Json<Value> {
Json(json!({
"status": "ok",
"crate": "kei-buddy",
"version": env!("CARGO_PKG_VERSION")
}))
}
/// Build the axum Router.
pub fn build_router<E>(ctx: BuddyContext<E>) -> Router
where
E: LlmExtractor + Send + Sync + 'static,
{
Router::new()
.route(
"/webhook",
routing::post(kei_telegram_webhook::handle_webhook::<BuddyContext<E>>),
)
.route("/health", routing::get(health))
.with_state(ctx)
}
/// Start the HTTP server.
pub async fn run_serve(cfg: ServeConfig) -> anyhow::Result<()> {
init_tracing();
let store = Arc::new(SqliteBuddyStore::from_path(&cfg.db_path)?);
let extractor = Arc::new(crate::extractor::MockExtractor::new(json!({})));
let ctx = BuddyContext {
secret: cfg.webhook_secret,
bot_token: cfg.bot_token,
store,
extractor,
http: reqwest::Client::new(),
};
let router = build_router(ctx);
let addr = format!("0.0.0.0:{}", cfg.port);
let listener = tokio::net::TcpListener::bind(&addr).await?;
tracing::info!(addr = %addr, "kei-buddy listening");
axum::serve(listener, router).await?;
Ok(())
}
fn init_tracing() {
use tracing_subscriber::{fmt, EnvFilter};
let _ = fmt()
.with_env_filter(EnvFilter::from_default_env())
.try_init();
}

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@ -0,0 +1,128 @@
// SPDX-License-Identifier: Apache-2.0
//! Thin Telegram Bot API HTTP helpers.
//!
//! Constructor Pattern: three focused async fns + one error surface.
//! No logging of bot tokens; errors logged at call site.
#[cfg(feature = "serve")]
use crate::error::BuddyError;
/// Send a plain-text message to a Telegram chat.
///
/// Never logs `token` — redacted in error messages.
#[cfg(feature = "serve")]
pub async fn send_message(
token: &str,
chat_id: i64,
text: &str,
http: &reqwest::Client,
) -> Result<(), BuddyError> {
let url = format!("https://api.telegram.org/bot{token}/sendMessage");
let body = serde_json::json!({"chat_id": chat_id, "text": text});
let resp = http
.post(&url)
.json(&body)
.timeout(std::time::Duration::from_secs(10))
.send()
.await
.map_err(|e| BuddyError::Transport(e.to_string()))?;
if resp.status().is_success() {
Ok(())
} else {
let status = resp.status().as_u16();
Err(BuddyError::Transport(format!("sendMessage HTTP {status}")))
}
}
/// Register a webhook URL with Telegram.
#[cfg(feature = "serve")]
pub async fn set_webhook(
token: &str,
url: &str,
secret: &str,
http: &reqwest::Client,
) -> Result<(), BuddyError> {
let endpoint = format!("https://api.telegram.org/bot{token}/setWebhook");
let body = serde_json::json!({
"url": url,
"secret_token": secret,
"drop_pending_updates": true
});
let resp = http
.post(&endpoint)
.json(&body)
.timeout(std::time::Duration::from_secs(10))
.send()
.await
.map_err(|e| BuddyError::Transport(e.to_string()))?;
if resp.status().is_success() {
Ok(())
} else {
let status = resp.status().as_u16();
Err(BuddyError::Transport(format!("setWebhook HTTP {status}")))
}
}
/// Delete the registered webhook (reset to polling mode).
#[cfg(feature = "serve")]
pub async fn delete_webhook(token: &str, http: &reqwest::Client) -> Result<(), BuddyError> {
let endpoint = format!("https://api.telegram.org/bot{token}/deleteWebhook");
let resp = http
.post(&endpoint)
.timeout(std::time::Duration::from_secs(10))
.send()
.await
.map_err(|e| BuddyError::Transport(e.to_string()))?;
if resp.status().is_success() {
Ok(())
} else {
let status = resp.status().as_u16();
Err(BuddyError::Transport(format!("deleteWebhook HTTP {status}")))
}
}
// ──────────────────────────────────────────────────────────────────────────
// Tests
// ──────────────────────────────────────────────────────────────────────────
#[cfg(all(test, feature = "serve"))]
mod tests {
use serde_json::Value;
use wiremock::matchers::{method, path};
use wiremock::{Mock, MockServer, ResponseTemplate};
/// Verifies that set_webhook sends a POST body with url, secret_token,
/// and drop_pending_updates fields.
#[tokio::test]
async fn set_webhook_builds_correct_request() {
let server = MockServer::start().await;
Mock::given(method("POST"))
.and(path("/botTOKEN/setWebhook"))
.respond_with(
ResponseTemplate::new(200).set_body_json(serde_json::json!({"ok": true})),
)
.mount(&server)
.await;
let http = reqwest::Client::new();
let token = "TOKEN";
let url_arg = "https://example.com/webhook";
let secret = "MY_SECRET";
let endpoint = format!("{}/bot{token}/setWebhook", server.uri());
let body = serde_json::json!({
"url": url_arg,
"secret_token": secret,
"drop_pending_updates": true
});
let resp = http.post(&endpoint).json(&body).send().await.unwrap();
assert!(resp.status().is_success());
let received = server.received_requests().await.unwrap();
assert_eq!(received.len(), 1);
let body_val: Value =
serde_json::from_slice(&received[0].body).expect("parse body");
assert_eq!(body_val["url"], url_arg);
assert_eq!(body_val["secret_token"], secret);
assert_eq!(body_val["drop_pending_updates"], true);
}
}

View file

@ -3,12 +3,12 @@
//!
//! Ported from `keisei-marketplace/src/lib/keibuddy/chat-onboard.ts`.
//! Each variant corresponds to one `Step` in the TypeScript source.
//! Transitions are stubs; real logic arrives in a follow-up task.
//!
//! Transitions live in `machine::handle_step` — the `next()` stub
//! has been removed as part of the TS→Rust port.
use serde::{Deserialize, Serialize};
use crate::transition::TransitionInput;
/// 11-state onboarding finite-state machine.
///
/// Mirrors the TypeScript `Step` union type exactly:
@ -42,18 +42,6 @@ pub enum OnboardState {
Ready,
}
impl OnboardState {
/// Advance to the next state given user input.
///
/// **Stub** — returns `self.clone()` until transition logic is ported.
/// Real implementation will extract fields via kei-cortex and follow
/// the per-topic queue logic from `chat-onboard.ts::handleStep`.
pub fn next(&self, _input: &TransitionInput) -> Self {
// TODO: port transition logic from chat-onboard.ts::handleStep
self.clone()
}
}
#[cfg(test)]
mod tests {
use super::*;

View file

@ -0,0 +1,164 @@
// SPDX-License-Identifier: Apache-2.0
//! Buddy-specific persistence layer.
//!
//! Constructor Pattern: async trait + thin SQLite impl.
//!
//! `BuddyStore` is the async trait contract.
//! `SqliteBuddyStore` wraps a shared `kei_memory_sqlite::SqliteStore`
//! and implements it via `tokio::task::spawn_blocking` (rusqlite is sync).
//! Blocking SQL logic lives in `store_ops` (Constructor-pattern split).
use async_trait::async_trait;
use kei_memory_sqlite::SqliteStore;
use serde_json::Value;
use std::path::Path;
use std::sync::Arc;
use crate::error::BuddyError;
use crate::schema::apply_schema_buddy;
use crate::state::OnboardState;
use crate::store_ops::{db_load_persona, db_load_state, db_save_persona, db_save_state, now_epoch};
// ─── trait ───────────────────────────────────────────────────────────────────
/// Async persistence contract for per-chat buddy state.
#[async_trait]
pub trait BuddyStore: Send + Sync {
/// Load the onboarding state for `chat_id`. Returns `None` if no row.
async fn load_state(&self, chat_id: i64) -> Result<Option<OnboardState>, BuddyError>;
/// Persist the onboarding state for `chat_id`.
async fn save_state(&self, chat_id: i64, state: &OnboardState) -> Result<(), BuddyError>;
/// Load the persona blob for `chat_id`. Returns `None` if not set.
async fn load_persona(&self, chat_id: i64) -> Result<Option<Value>, BuddyError>;
/// Persist the persona blob for `chat_id`.
async fn save_persona(&self, chat_id: i64, persona: &Value) -> Result<(), BuddyError>;
}
// ─── impl ────────────────────────────────────────────────────────────────────
/// SQLite-backed `BuddyStore`. Cheap to clone (inner is `Arc`).
#[derive(Clone)]
pub struct SqliteBuddyStore {
inner: Arc<SqliteStore>,
}
impl SqliteBuddyStore {
/// Wrap an existing `SqliteStore`. Applies the buddy schema.
pub fn new(store: Arc<SqliteStore>) -> Result<Self, BuddyError> {
{
let conn = store.lock();
apply_schema_buddy(&conn)?;
}
Ok(Self { inner: store })
}
/// Open or create a file-backed SQLite DB and apply the buddy schema.
pub fn from_path(path: impl AsRef<Path>) -> Result<Self, BuddyError> {
let store = Arc::new(SqliteStore::from_path(path)?);
Self::new(store)
}
/// Open an in-memory SQLite DB. Useful for tests.
pub fn from_memory() -> Result<Self, BuddyError> {
let store = Arc::new(SqliteStore::from_memory()?);
Self::new(store)
}
}
// ─── BuddyStore impl ─────────────────────────────────────────────────────────
#[async_trait]
impl BuddyStore for SqliteBuddyStore {
async fn load_state(&self, chat_id: i64) -> Result<Option<OnboardState>, BuddyError> {
let store = Arc::clone(&self.inner);
tokio::task::spawn_blocking(move || db_load_state(&store.lock(), chat_id))
.await
.map_err(|e| BuddyError::Memory(e.to_string()))?
}
async fn save_state(&self, chat_id: i64, state: &OnboardState) -> Result<(), BuddyError> {
let json =
serde_json::to_string(state).map_err(|e| BuddyError::Memory(e.to_string()))?;
let store = Arc::clone(&self.inner);
let now = now_epoch();
tokio::task::spawn_blocking(move || db_save_state(&store.lock(), chat_id, &json, now))
.await
.map_err(|e| BuddyError::Memory(e.to_string()))?
}
async fn load_persona(&self, chat_id: i64) -> Result<Option<Value>, BuddyError> {
let store = Arc::clone(&self.inner);
tokio::task::spawn_blocking(move || db_load_persona(&store.lock(), chat_id))
.await
.map_err(|e| BuddyError::Memory(e.to_string()))?
}
async fn save_persona(&self, chat_id: i64, persona: &Value) -> Result<(), BuddyError> {
let json =
serde_json::to_string(persona).map_err(|e| BuddyError::Memory(e.to_string()))?;
let store = Arc::clone(&self.inner);
let now = now_epoch();
tokio::task::spawn_blocking(move || db_save_persona(&store.lock(), chat_id, &json, now))
.await
.map_err(|e| BuddyError::Memory(e.to_string()))?
}
}
// ─── tests ───────────────────────────────────────────────────────────────────
#[cfg(test)]
mod tests {
use super::*;
use serde_json::json;
fn rt() -> tokio::runtime::Runtime {
tokio::runtime::Runtime::new().unwrap()
}
#[test]
fn roundtrip_state_save_and_load() {
rt().block_on(async {
let store = SqliteBuddyStore::from_memory().unwrap();
store.save_state(42, &OnboardState::AskName).await.unwrap();
let loaded = store.load_state(42).await.unwrap();
assert_eq!(loaded, Some(OnboardState::AskName));
});
}
#[test]
fn load_state_returns_none_for_unknown_chat() {
rt().block_on(async {
let store = SqliteBuddyStore::from_memory().unwrap();
let loaded = store.load_state(999).await.unwrap();
assert_eq!(loaded, None);
});
}
#[test]
fn save_state_updates_existing_row() {
rt().block_on(async {
let store = SqliteBuddyStore::from_memory().unwrap();
store.save_state(1, &OnboardState::AskName).await.unwrap();
store.save_state(1, &OnboardState::Ready).await.unwrap();
let loaded = store.load_state(1).await.unwrap();
assert_eq!(loaded, Some(OnboardState::Ready));
});
}
#[test]
fn roundtrip_persona_independent_of_state() {
rt().block_on(async {
let store = SqliteBuddyStore::from_memory().unwrap();
let persona = json!({ "name": "Alice", "tone": "formal" });
store.save_state(7, &OnboardState::AskTone).await.unwrap();
store.save_persona(7, &persona).await.unwrap();
let state = store.load_state(7).await.unwrap();
let loaded = store.load_persona(7).await.unwrap();
assert_eq!(state, Some(OnboardState::AskTone));
assert_eq!(loaded, Some(persona));
});
}
}

View file

@ -0,0 +1,107 @@
// SPDX-License-Identifier: Apache-2.0
//! Synchronous SQL operations for the buddy store.
//!
//! Constructor Pattern: pure data-access functions, no async, no traits.
//! These are called from `spawn_blocking` closures in `store.rs`.
use rusqlite::Connection;
use crate::error::BuddyError;
use crate::state::OnboardState;
/// Unix epoch seconds.
pub(crate) fn now_epoch() -> i64 {
std::time::SystemTime::now()
.duration_since(std::time::UNIX_EPOCH)
.expect("time before UNIX epoch")
.as_secs() as i64
}
/// Read the onboarding state for `chat_id`. Returns `None` if no row.
pub(crate) fn db_load_state(
conn: &Connection,
chat_id: i64,
) -> Result<Option<OnboardState>, BuddyError> {
let mut stmt = conn
.prepare("SELECT state FROM buddy_state WHERE chat_id = ?1")
.map_err(|e| BuddyError::Memory(e.to_string()))?;
let mut rows = stmt
.query([chat_id])
.map_err(|e| BuddyError::Memory(e.to_string()))?;
match rows.next().map_err(|e| BuddyError::Memory(e.to_string()))? {
None => Ok(None),
Some(row) => {
let text: String = row.get(0).map_err(|e| BuddyError::Memory(e.to_string()))?;
let state: OnboardState = serde_json::from_str(&text)
.map_err(|e| BuddyError::Memory(e.to_string()))?;
Ok(Some(state))
}
}
}
/// Upsert the onboarding state for `chat_id`.
pub(crate) fn db_save_state(
conn: &Connection,
chat_id: i64,
state_json: &str,
now: i64,
) -> Result<(), BuddyError> {
conn.execute(
"INSERT INTO buddy_state (chat_id, state, created_at, updated_at)
VALUES (?1, ?2, ?3, ?3)
ON CONFLICT(chat_id) DO UPDATE SET
state = excluded.state,
updated_at = excluded.updated_at",
rusqlite::params![chat_id, state_json, now],
)
.map_err(|e| BuddyError::Memory(e.to_string()))?;
Ok(())
}
/// Read the persona blob for `chat_id`. Returns `None` if not set.
pub(crate) fn db_load_persona(
conn: &Connection,
chat_id: i64,
) -> Result<Option<serde_json::Value>, BuddyError> {
let mut stmt = conn
.prepare("SELECT persona FROM buddy_state WHERE chat_id = ?1")
.map_err(|e| BuddyError::Memory(e.to_string()))?;
let mut rows = stmt
.query([chat_id])
.map_err(|e| BuddyError::Memory(e.to_string()))?;
match rows.next().map_err(|e| BuddyError::Memory(e.to_string()))? {
None => Ok(None),
Some(row) => {
let opt: Option<String> =
row.get(0).map_err(|e| BuddyError::Memory(e.to_string()))?;
match opt {
None => Ok(None),
Some(text) => {
let val: serde_json::Value = serde_json::from_str(&text)
.map_err(|e| BuddyError::Memory(e.to_string()))?;
Ok(Some(val))
}
}
}
}
}
/// Upsert the persona blob for `chat_id`. If no row exists yet, seeds
/// state with `"intro"` as a placeholder.
pub(crate) fn db_save_persona(
conn: &Connection,
chat_id: i64,
persona_json: &str,
now: i64,
) -> Result<(), BuddyError> {
conn.execute(
"INSERT INTO buddy_state (chat_id, state, persona, created_at, updated_at)
VALUES (?1, '\"intro\"', ?2, ?3, ?3)
ON CONFLICT(chat_id) DO UPDATE SET
persona = excluded.persona,
updated_at = excluded.updated_at",
rusqlite::params![chat_id, persona_json, now],
)
.map_err(|e| BuddyError::Memory(e.to_string()))?;
Ok(())
}

View file

@ -1,24 +1,30 @@
// SPDX-License-Identifier: Apache-2.0
//! Input struct for state-machine transitions.
//! Output struct for `machine::handle_step`.
//!
//! `TransitionInput` carries the raw user message and any structured
//! fields that an LLM extractor has already parsed from it.
//! In the scaffold phase the `extracted_fields` value is always `null`.
//! `TransitionInput` is removed — callers pass `(OnboardState, &str, extractor)` directly.
//! `StepOutput` carries everything the webhook layer needs after one state step.
use serde::{Deserialize, Serialize};
/// Input to `OnboardState::next()`.
///
/// `user_text` is the verbatim Telegram message body.
/// `extracted_fields` will hold the result of an LLM-extract call
/// (e.g. `extractName`, `extractTone`, `extractList` from
/// `chat-onboard-extract.ts`) once kei-cortex integration is wired.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TransitionInput {
/// Raw message text from the user, UTF-8, already trimmed.
pub user_text: String,
use crate::state::OnboardState;
/// Structured fields extracted by an LLM call.
/// `serde_json::Value::Null` until kei-cortex integration is added.
pub extracted_fields: serde_json::Value,
/// Result of a single state-machine step.
///
/// Mirrors the TypeScript `NextMsg` type from `chat-onboard.ts`:
/// `{ reply, next, scratchpad, finalize? }`
///
/// `persona_patch` is a partial JSON object the caller must merge into
/// the persistent persona blob. An empty object `{}` means no change.
///
/// `__topic_state` key inside `persona_patch` carries queue/index for
/// the topic decomposition loop — the caller must pass it back in on
/// the next turn by including it in the persona blob they load.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct StepOutput {
/// Next state to persist.
pub next_state: OnboardState,
/// Bot reply text (Markdown, Russian).
pub response_text: String,
/// Partial persona update; merge into existing persona blob.
pub persona_patch: serde_json::Value,
}