Scaffold shre-embed: embedding + semantic search with three-valued health

Express (ESM, no build step) service wrapping Ollama embeddings and Qdrant:
- POST /v1/embed, /v1/index, /v1/search
- GET /health reports each dependency as ok | absent | unobservable with the
  exact measurement_surface URL and observed_at; overall ok only when all
  deps are ok, 503 degraded otherwise
- upstream failures on /v1/* return 502 marked unobservable — never an empty
  result set or indexed:0
- defaults PORT=5499, QDRANT_URL=127.0.0.1:6333, OLLAMA_URL=127.0.0.1:11436
  (11436 native Ollama; 11434 is the broken Colima forward on this Mac)
- node:test unit tests with injected fetch; run with zero live dependencies
- README documents endpoints and a reference launchd plist (not installed)

Co-Authored-By: Claude Fable 5 <[email protected]>
This commit is contained in:
Claude
2026-08-22 02:05:11 -04:00
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# shre-embed # shre-embed
Shared embedding + semantic search service for the estate (Qdrant + local Ollama) Shared embedding + semantic search service for the estate. Plain Node.js +
Express, ESM, no build step. Embeds text via a local **Ollama** instance and
stores/searches vectors in **Qdrant**.
## Design principle: three-valued observability
Every probe and every upstream-dependent answer in this service distinguishes
**three** states, never two:
| state | meaning |
|---|---|
| `ok` / present | the probe saw the thing and it works / exists |
| `absent` | the probe **saw the surface** and the thing is genuinely missing (e.g. Ollama reachable but the embed model is not installed) |
| `unobservable` | the probe **could not see**: dependency down, timeout, auth failure, endpoint missing, HTTP 5xx from the surface |
`unobservable` is **never** collapsed into "absent", "zero results" or
"healthy". Every result carries its `measurement_surface` (the exact URL that
was measured) and `observed_at` (ISO timestamp). This exists to prevent a
recorded estate incident class: healthchecks probing `/` and reporting healthy
while `/api` was 502, and an MCP tool answering `0` for data that was never
collectable.
Concretely:
- `/health` returns overall `"ok"` only when **all** dependencies are `ok`;
otherwise `"degraded"` with HTTP 503. It never reports plain healthy while a
dependency is unobservable.
- `/v1/embed`, `/v1/index`, `/v1/search` return HTTP 502 with
`{"status":"unobservable", "measurement_surface": ..., "observed_at": ...}`
when an upstream call fails — a failed search is never presented as an empty
result set, and a failed index is never presented as `indexed: 0`.
## Configuration (env, with defaults)
| var | default | notes |
|---|---|---|
| `PORT` | `5499` | HTTP listen port (binds 127.0.0.1) |
| `QDRANT_URL` | `http://127.0.0.1:6333` | Qdrant REST endpoint |
| `OLLAMA_URL` | `http://127.0.0.1:11436` | **11436, not 11434.** On this Mac, `127.0.0.1:11434` is a known-broken Colima SSH-mux forward that accepts connections (tags respond) but hangs on generation/embedding. Native Ollama listens on `11436`. |
| `EMBED_MODEL` | `nomic-embed-text` | Ollama embedding model |
| `PROBE_TIMEOUT_MS` | `2500` | timeout for `/health` dependency probes |
| `UPSTREAM_TIMEOUT_MS` | `30000` | timeout for embed/index/search upstream calls |
## Run
```sh
npm install
npm start # listens on 127.0.0.1:5499
npm test # node:test unit tests; no Qdrant/Ollama required
```
## Endpoints
### `GET /health`
Three-valued, per-dependency health with exact probed surfaces.
```json
{
"status": "degraded",
"service": "shre-embed",
"observed_at": "2026-08-22T15:04:05.000Z",
"dependencies": {
"qdrant": {
"status": "ok",
"measurement_surface": "http://127.0.0.1:6333/readyz",
"observed_at": "2026-08-22T15:04:05.000Z",
"http_status": 200,
"latency_ms": 3
},
"ollama": {
"status": "unobservable",
"measurement_surface": "http://127.0.0.1:11436/api/tags",
"observed_at": "2026-08-22T15:04:05.000Z",
"reason": "fetch failed: ECONNREFUSED: fetch failed",
"latency_ms": 1
},
"embed_model": {
"status": "unobservable",
"measurement_surface": "http://127.0.0.1:11436/api/tags",
"observed_at": "2026-08-22T15:04:05.000Z",
"model": "nomic-embed-text",
"reason": "ollama unobservable, model presence not measurable"
}
}
}
```
- HTTP 200 when overall `"ok"`, HTTP 503 when `"degraded"`.
- `embed_model` demonstrates all three values: `ok` (installed), `absent`
(Ollama reachable but model not pulled — a true gap), `unobservable`
(Ollama itself could not be seen, so the model's presence is unknowable).
### `POST /v1/embed`
```json
{ "texts": ["hello", "world"] }
```
`200 {"vectors": [[...],[...]], "model": "nomic-embed-text", "measurement_surface": "http://127.0.0.1:11436/api/embeddings", "observed_at": "..."}`
Each text is embedded via `POST {OLLAMA_URL}/api/embeddings` with
`{"model": EMBED_MODEL, "prompt": text}`.
### `POST /v1/index`
```json
{
"collection": "notes",
"items": [
{ "id": 1, "text": "alpha", "payload": { "src": "obsidian" } },
{ "id": 2, "text": "beta" }
]
}
```
Embeds every `text`, auto-creates the Qdrant collection if missing (Cosine
distance, vector size taken from the first embedding), and upserts points with
`payload` (the original `text` is folded into the payload as `text`).
`200 {"indexed": 2, "collection": "notes", "qdrant": {...}, "measurement_surface": ..., "observed_at": ...}`
### `POST /v1/search`
```json
{ "collection": "notes", "query": "find alpha", "limit": 5 }
```
Embeds the query, then `POST {QDRANT_URL}/collections/{collection}/points/search`
with `with_payload: true`. `limit` defaults to 10, capped at 100.
`200 {"results": [{"id": "a", "score": 0.91, "payload": {...}}, ...], "collection": ..., "limit": ..., "measurement_surface": ..., "observed_at": ...}`
### Error shape for all `/v1/*` endpoints
- `400 {"error": "..."}` — invalid request body.
- `502 {"error": "...", "status": "unobservable", "measurement_surface": "<exact upstream URL>", "observed_at": "...", "upstream_http_status": 500}`
the upstream could not be observed; the truthful answer is "unknown", never
"empty" or "zero".
## Example launchd plist (documentation only — do NOT install blindly)
The estate convention is `ai.shre.<service>` labels. This is a reference
template only; deployment goes through the normal ops-from-git flow, not by
hand-installing this file.
```xml
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN"
"http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0">
<dict>
<key>Label</key><string>ai.shre.embed</string>
<key>ProgramArguments</key>
<array>
<string>/usr/local/bin/node</string>
<string>/opt/shre/shre-embed/src/server.js</string>
</array>
<key>WorkingDirectory</key><string>/opt/shre/shre-embed</string>
<key>EnvironmentVariables</key>
<dict>
<key>PORT</key><string>5499</string>
<key>QDRANT_URL</key><string>http://127.0.0.1:6333</string>
<!-- 11436 = native Ollama. NEVER 11434 (broken Colima forward on this Mac). -->
<key>OLLAMA_URL</key><string>http://127.0.0.1:11436</string>
<key>EMBED_MODEL</key><string>nomic-embed-text</string>
</dict>
<key>RunAtLoad</key><true/>
<key>KeepAlive</key><true/>
<key>StandardOutPath</key><string>/tmp/ai.shre.embed.out.log</string>
<key>StandardErrorPath</key><string>/tmp/ai.shre.embed.err.log</string>
</dict>
</plist>
```
## Layout
```
src/config.js env config with estate-safe defaults
src/probe.js three-valued probe primitives (ok | absent | unobservable)
src/upstreams.js Ollama + Qdrant clients (injectable fetch)
src/app.js express app factory (createApp(config, {fetchImpl}))
src/server.js entrypoint
test/app.test.js node:test unit tests, run with zero live dependencies
```
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View File
@@ -0,0 +1,17 @@
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"main": "src/server.js",
"scripts": {
"start": "node src/server.js",
"test": "node --test"
},
"engines": {
"node": ">=20"
},
"dependencies": {
"express": "^4.21.2"
}
}
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import express from "express";
import { httpProbe, probeResult, OK, ABSENT, UNOBSERVABLE } from "./probe.js";
import {
UpstreamError,
embedTexts,
ensureCollection,
upsertPoints,
searchPoints,
} from "./upstreams.js";
/**
* Build the express app. `fetchImpl` is injectable so unit tests run without
* Qdrant/Ollama up.
*/
export function createApp(config, { fetchImpl = fetch } = {}) {
const app = express();
app.use(express.json({ limit: "5mb" }));
const upstreamOpts = {
ollamaUrl: config.ollamaUrl,
qdrantUrl: config.qdrantUrl,
embedModel: config.embedModel,
fetchImpl,
timeoutMs: config.upstreamTimeoutMs,
};
// ---- health: three-valued, per-dependency, with exact surfaces ----------
app.get("/health", async (_req, res) => {
const qdrantSurface = `${config.qdrantUrl}/readyz`;
const ollamaSurface = `${config.ollamaUrl}/api/tags`;
let embedModelResult = null;
const [qdrant, ollama] = await Promise.all([
httpProbe(qdrantSurface, { fetchImpl, timeoutMs: config.probeTimeoutMs }),
httpProbe(ollamaSurface, {
fetchImpl,
timeoutMs: config.probeTimeoutMs,
classify: (_res, bodyText) => {
// While we can see the tag list, also classify the embed model:
// present -> ok, listed-but-missing -> absent (a true gap, distinct
// from "could not look").
try {
const models = JSON.parse(bodyText)?.models ?? [];
const found = models.some(
(m) => m?.name === config.embedModel || m?.name?.split(":")[0] === config.embedModel
);
embedModelResult = probeResult(found ? OK : ABSENT, ollamaSurface, {
model: config.embedModel,
});
} catch {
embedModelResult = probeResult(UNOBSERVABLE, ollamaSurface, {
model: config.embedModel,
reason: "tag list unparseable",
});
}
return null; // do not override the reachability verdict
},
}),
]);
if (!embedModelResult) {
// Ollama itself was unobservable, so the model's presence is too —
// never report it as absent (or fine) when we could not look.
embedModelResult = probeResult(UNOBSERVABLE, ollamaSurface, {
model: config.embedModel,
reason: "ollama unobservable, model presence not measurable",
});
}
const deps = { qdrant, ollama, embed_model: embedModelResult };
const allOk = Object.values(deps).every((d) => d.status === OK);
// Overall is NEVER plain "ok" while any dependency is unobservable/absent.
const overall = allOk ? "ok" : "degraded";
res.status(allOk ? 200 : 503).json({
status: overall,
service: "shre-embed",
observed_at: new Date().toISOString(),
dependencies: deps,
});
});
// ---- helpers ------------------------------------------------------------
function upstreamErrorBody(err) {
return {
error: err.message,
// The caller must be able to tell "failed" from "answer is empty/zero":
status: UNOBSERVABLE,
measurement_surface: err.surface,
observed_at: new Date().toISOString(),
...(err.httpStatus ? { upstream_http_status: err.httpStatus } : {}),
};
}
// ---- POST /v1/embed -----------------------------------------------------
app.post("/v1/embed", async (req, res) => {
const { texts } = req.body ?? {};
if (!Array.isArray(texts) || texts.length === 0 || !texts.every((t) => typeof t === "string")) {
return res.status(400).json({ error: "body must be {texts: string[]} with at least one text" });
}
try {
const vectors = await embedTexts(texts, upstreamOpts);
res.json({
vectors,
model: config.embedModel,
measurement_surface: `${config.ollamaUrl}/api/embeddings`,
observed_at: new Date().toISOString(),
});
} catch (err) {
if (err instanceof UpstreamError) return res.status(502).json(upstreamErrorBody(err));
throw err;
}
});
// ---- POST /v1/index -----------------------------------------------------
app.post("/v1/index", async (req, res) => {
const { collection, items } = req.body ?? {};
if (typeof collection !== "string" || !collection) {
return res.status(400).json({ error: "body must include a non-empty 'collection' string" });
}
if (
!Array.isArray(items) ||
items.length === 0 ||
!items.every((it) => it && it.id !== undefined && typeof it.text === "string")
) {
return res.status(400).json({ error: "body must include items: [{id, text, payload?}] with at least one item" });
}
try {
const vectors = await embedTexts(items.map((it) => it.text), upstreamOpts);
await ensureCollection(collection, vectors[0].length, upstreamOpts);
const points = items.map((it, i) => ({
id: it.id,
vector: vectors[i],
payload: { ...(it.payload ?? {}), text: it.text },
}));
const result = await upsertPoints(collection, points, upstreamOpts);
res.json({
indexed: items.length,
collection,
qdrant: result?.result ?? result,
measurement_surface: `${config.qdrantUrl}/collections/${collection}/points`,
observed_at: new Date().toISOString(),
});
} catch (err) {
if (err instanceof UpstreamError) return res.status(502).json(upstreamErrorBody(err));
throw err;
}
});
// ---- POST /v1/search ----------------------------------------------------
app.post("/v1/search", async (req, res) => {
const { collection, query, limit } = req.body ?? {};
if (typeof collection !== "string" || !collection || typeof query !== "string" || !query) {
return res.status(400).json({ error: "body must include non-empty 'collection' and 'query' strings" });
}
const lim = Number.isInteger(limit) && limit > 0 ? Math.min(limit, 100) : 10;
try {
const [vector] = await embedTexts([query], upstreamOpts);
const result = await searchPoints(collection, vector, lim, upstreamOpts);
res.json({
results: result.map((r) => ({ id: r.id, score: r.score, payload: r.payload ?? null })),
collection,
limit: lim,
measurement_surface: `${config.qdrantUrl}/collections/${collection}/points/search`,
observed_at: new Date().toISOString(),
});
} catch (err) {
if (err instanceof UpstreamError) return res.status(502).json(upstreamErrorBody(err));
throw err;
}
});
// express error fallthrough (bad JSON etc.)
// eslint-disable-next-line no-unused-vars
app.use((err, _req, res, _next) => {
if (err?.type === "entity.parse.failed") {
return res.status(400).json({ error: "invalid JSON body" });
}
res.status(500).json({ error: "internal error" });
});
return app;
}
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// Config via environment with estate defaults.
//
// NOTE: default OLLAMA_URL is 127.0.0.1:11436 (native Ollama), NOT 11434.
// On this Mac, 127.0.0.1:11434 is a known-broken Colima SSH-mux forward that
// accepts connections (tags respond) but hangs on generation/embedding.
export function loadConfig(env = process.env) {
return {
port: Number(env.PORT) > 0 ? Number(env.PORT) : 5499,
qdrantUrl: (env.QDRANT_URL || "http://127.0.0.1:6333").replace(/\/+$/, ""),
ollamaUrl: (env.OLLAMA_URL || "http://127.0.0.1:11436").replace(/\/+$/, ""),
embedModel: env.EMBED_MODEL || "nomic-embed-text",
// Per-request timeout for dependency probes and upstream calls (ms).
probeTimeoutMs: Number(env.PROBE_TIMEOUT_MS) > 0 ? Number(env.PROBE_TIMEOUT_MS) : 2500,
upstreamTimeoutMs: Number(env.UPSTREAM_TIMEOUT_MS) > 0 ? Number(env.UPSTREAM_TIMEOUT_MS) : 30000,
};
}
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// Three-valued observability primitives.
//
// Every probe answer is one of THREE states, never two:
// "ok" — the probe saw the thing and it is present/working
// "absent" — the probe SAW the surface and the thing is genuinely missing
// "unobservable" — the probe COULD NOT SEE (dependency down, timeout, auth
// failure, endpoint missing). Never collapsed into ok/absent.
//
// Every result carries measurement_surface (exactly what was measured) and
// observed_at (ISO timestamp).
export const OK = "ok";
export const ABSENT = "absent";
export const UNOBSERVABLE = "unobservable";
export function probeResult(status, measurementSurface, extra = {}) {
return {
status,
measurement_surface: measurementSurface,
observed_at: new Date().toISOString(),
...extra,
};
}
/**
* Perform an HTTP GET probe of `url`. Returns a three-valued probeResult:
* - ok when the response status passes `okWhen` (default: 2xx)
* - unobservable on network error, timeout, or non-passing HTTP status
* (a 401/404/500 from the surface means we could not observe the truth,
* not that the dependency is healthy or absent).
* `classify(response, bodyText)` may optionally downgrade an HTTP-ok response
* to ABSENT (e.g. endpoint reachable but required model not installed).
*/
export async function httpProbe(url, { fetchImpl = fetch, timeoutMs = 2500, classify } = {}) {
const started = Date.now();
let res;
try {
res = await fetchImpl(url, { signal: AbortSignal.timeout(timeoutMs) });
} catch (err) {
return probeResult(UNOBSERVABLE, url, {
reason: `fetch failed: ${err?.cause?.code || err?.name || "error"}: ${err?.message}`,
latency_ms: Date.now() - started,
});
}
const latency = Date.now() - started;
if (!res.ok) {
return probeResult(UNOBSERVABLE, url, {
reason: `HTTP ${res.status} from probe surface`,
http_status: res.status,
latency_ms: latency,
});
}
if (classify) {
let bodyText = "";
try {
bodyText = await res.text();
} catch {
return probeResult(UNOBSERVABLE, url, {
reason: "response body unreadable",
latency_ms: latency,
});
}
const classified = classify(res, bodyText);
if (classified) return probeResult(classified.status, url, { latency_ms: latency, ...classified.extra });
}
return probeResult(OK, url, { http_status: res.status, latency_ms: latency });
}
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import { loadConfig } from "./config.js";
import { createApp } from "./app.js";
const config = loadConfig();
const app = createApp(config);
app.listen(config.port, "127.0.0.1", () => {
// eslint-disable-next-line no-console
console.log(
`shre-embed listening on 127.0.0.1:${config.port} ` +
`(qdrant=${config.qdrantUrl} ollama=${config.ollamaUrl} model=${config.embedModel})`
);
});
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// Thin clients for Ollama (embeddings) and Qdrant (vector store).
// All calls take an injected fetchImpl so tests run without either service up.
//
// Failures are surfaced as UpstreamError carrying the exact measurement
// surface (URL) that failed — callers propagate this so an API consumer can
// always tell "the answer is X" apart from "the answer was unobservable".
export class UpstreamError extends Error {
constructor(message, { surface, cause, httpStatus } = {}) {
super(message);
this.name = "UpstreamError";
this.surface = surface;
this.httpStatus = httpStatus;
if (cause) this.cause = cause;
}
}
async function postJson(url, body, { fetchImpl, timeoutMs }) {
let res;
try {
res = await fetchImpl(url, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify(body),
signal: AbortSignal.timeout(timeoutMs),
});
} catch (err) {
throw new UpstreamError(`request failed: ${err?.message}`, { surface: url, cause: err });
}
let json;
try {
json = await res.json();
} catch {
json = undefined;
}
if (!res.ok) {
throw new UpstreamError(`HTTP ${res.status}: ${JSON.stringify(json)?.slice(0, 300)}`, {
surface: url,
httpStatus: res.status,
});
}
return json;
}
/** Embed each text via Ollama's embeddings API. Returns number[][]. */
export async function embedTexts(texts, { ollamaUrl, embedModel, fetchImpl = fetch, timeoutMs = 30000 }) {
const url = `${ollamaUrl}/api/embeddings`;
const vectors = [];
for (const text of texts) {
const json = await postJson(url, { model: embedModel, prompt: text }, { fetchImpl, timeoutMs });
if (!Array.isArray(json?.embedding)) {
throw new UpstreamError("Ollama response missing 'embedding' array", { surface: url });
}
vectors.push(json.embedding);
}
return vectors;
}
/** Ensure a Qdrant collection exists with the given vector size (Cosine). */
export async function ensureCollection(collection, vectorSize, { qdrantUrl, fetchImpl = fetch, timeoutMs = 30000 }) {
const checkUrl = `${qdrantUrl}/collections/${encodeURIComponent(collection)}`;
let res;
try {
res = await fetchImpl(checkUrl, { signal: AbortSignal.timeout(timeoutMs) });
} catch (err) {
throw new UpstreamError(`request failed: ${err?.message}`, { surface: checkUrl, cause: err });
}
if (res.ok) return { created: false };
if (res.status !== 404) {
throw new UpstreamError(`HTTP ${res.status} checking collection`, { surface: checkUrl, httpStatus: res.status });
}
let createRes;
try {
createRes = await fetchImpl(checkUrl, {
method: "PUT",
headers: { "content-type": "application/json" },
body: JSON.stringify({ vectors: { size: vectorSize, distance: "Cosine" } }),
signal: AbortSignal.timeout(timeoutMs),
});
} catch (err) {
throw new UpstreamError(`request failed: ${err?.message}`, { surface: checkUrl, cause: err });
}
if (!createRes.ok) {
throw new UpstreamError(`HTTP ${createRes.status} creating collection`, { surface: checkUrl, httpStatus: createRes.status });
}
return { created: true };
}
/** Upsert points into a Qdrant collection. */
export async function upsertPoints(collection, points, { qdrantUrl, fetchImpl = fetch, timeoutMs = 30000 }) {
const url = `${qdrantUrl}/collections/${encodeURIComponent(collection)}/points?wait=true`;
let res;
try {
res = await fetchImpl(url, {
method: "PUT",
headers: { "content-type": "application/json" },
body: JSON.stringify({ points }),
signal: AbortSignal.timeout(timeoutMs),
});
} catch (err) {
throw new UpstreamError(`request failed: ${err?.message}`, { surface: url, cause: err });
}
let json;
try {
json = await res.json();
} catch {
json = undefined;
}
if (!res.ok) {
throw new UpstreamError(`HTTP ${res.status}: ${JSON.stringify(json)?.slice(0, 300)}`, {
surface: url,
httpStatus: res.status,
});
}
return json;
}
/** Vector search in a Qdrant collection. Returns scored points with payloads. */
export async function searchPoints(collection, vector, limit, { qdrantUrl, fetchImpl = fetch, timeoutMs = 30000 }) {
const url = `${qdrantUrl}/collections/${encodeURIComponent(collection)}/points/search`;
const json = await postJson(url, { vector, limit, with_payload: true }, { fetchImpl, timeoutMs });
if (!Array.isArray(json?.result)) {
throw new UpstreamError("Qdrant response missing 'result' array", { surface: url });
}
return json.result;
}
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import test from "node:test";
import assert from "node:assert/strict";
import { once } from "node:events";
import { loadConfig } from "../src/config.js";
import { createApp } from "../src/app.js";
// ---------------------------------------------------------------------------
// Helpers: run the app on an ephemeral loopback port with an injected fetch,
// so no Qdrant/Ollama needs to be up.
// ---------------------------------------------------------------------------
const TEST_ENV = {
QDRANT_URL: "http://qdrant.test:6333",
OLLAMA_URL: "http://ollama.test:11436",
EMBED_MODEL: "nomic-embed-text",
PROBE_TIMEOUT_MS: "200",
UPSTREAM_TIMEOUT_MS: "500",
};
async function withServer(fetchImpl, fn) {
const config = loadConfig(TEST_ENV);
const app = createApp(config, { fetchImpl });
const server = app.listen(0, "127.0.0.1");
await once(server, "listening");
const base = `http://127.0.0.1:${server.address().port}`;
try {
return await fn(base, config);
} finally {
server.close();
}
}
function jsonResponse(body, status = 200) {
return new Response(JSON.stringify(body), {
status,
headers: { "content-type": "application/json" },
});
}
/** Fake fetch that dispatches on method+url via a routes table. */
function fakeFetch(routes) {
const calls = [];
const impl = async (url, init = {}) => {
const method = init.method ?? "GET";
const key = `${method} ${url}`;
calls.push({ key, body: init.body ? JSON.parse(init.body) : undefined });
for (const [pattern, handler] of Object.entries(routes)) {
if (key === pattern || key.startsWith(pattern)) {
return handler({ url, init, body: init.body ? JSON.parse(init.body) : undefined });
}
}
throw new TypeError(`fetch failed: no route for ${key}`);
};
impl.calls = calls;
return impl;
}
const DIM = 4;
const vecFor = (text) => [text.length, 1, 2, 3];
function happyRoutes() {
return {
// health probes
"GET http://qdrant.test:6333/readyz": () => new Response("all shards ready", { status: 200 }),
"GET http://ollama.test:11436/api/tags": () =>
jsonResponse({ models: [{ name: "nomic-embed-text:latest" }, { name: "qwen3:30b-a3b" }] }),
// embeddings
"POST http://ollama.test:11436/api/embeddings": ({ body }) => jsonResponse({ embedding: vecFor(body.prompt) }),
// qdrant collection lifecycle
"GET http://qdrant.test:6333/collections/notes": () => jsonResponse({ result: {} }, 404),
"PUT http://qdrant.test:6333/collections/notes/points": () =>
jsonResponse({ result: { operation_id: 1, status: "completed" } }),
"PUT http://qdrant.test:6333/collections/notes": () => jsonResponse({ result: true }),
"POST http://qdrant.test:6333/collections/notes/points/search": () =>
jsonResponse({
result: [
{ id: "a", score: 0.91, payload: { text: "alpha", src: "t" } },
{ id: "b", score: 0.42, payload: { text: "beta" } },
],
}),
};
}
// ---------------------------------------------------------------------------
// config
// ---------------------------------------------------------------------------
test("config defaults: port 5499, qdrant 6333, ollama 11436 (NOT 11434), nomic-embed-text", () => {
const c = loadConfig({});
assert.equal(c.port, 5499);
assert.equal(c.qdrantUrl, "http://127.0.0.1:6333");
assert.equal(c.ollamaUrl, "http://127.0.0.1:11436");
assert.ok(!c.ollamaUrl.includes("11434"), "must never default to the broken 11434 forward");
assert.equal(c.embedModel, "nomic-embed-text");
});
// ---------------------------------------------------------------------------
// /health — three-valued
// ---------------------------------------------------------------------------
test("/health reports ok with surfaces + observed_at when all deps respond", async () => {
await withServer(fakeFetch(happyRoutes()), async (base) => {
const res = await fetch(`${base}/health`);
assert.equal(res.status, 200);
const body = await res.json();
assert.equal(body.status, "ok");
assert.equal(body.dependencies.qdrant.status, "ok");
assert.equal(body.dependencies.qdrant.measurement_surface, "http://qdrant.test:6333/readyz");
assert.equal(body.dependencies.ollama.status, "ok");
assert.equal(body.dependencies.ollama.measurement_surface, "http://ollama.test:11436/api/tags");
assert.equal(body.dependencies.embed_model.status, "ok");
for (const dep of Object.values(body.dependencies)) {
assert.ok(Date.parse(dep.observed_at), "every dep carries observed_at");
}
});
});
test("/health reports unobservable (never healthy) when deps are down", async () => {
// fetch that always fails = both dependencies down
const deadFetch = async () => {
throw new TypeError("fetch failed: ECONNREFUSED");
};
await withServer(deadFetch, async (base) => {
const res = await fetch(`${base}/health`);
assert.equal(res.status, 503);
const body = await res.json();
assert.equal(body.status, "degraded");
assert.notEqual(body.status, "ok", "must never report plain healthy while a dep is unobservable");
assert.equal(body.dependencies.qdrant.status, "unobservable");
assert.match(body.dependencies.qdrant.reason, /fetch failed/);
assert.equal(body.dependencies.ollama.status, "unobservable");
// model presence is ALSO unobservable — not "absent" — when ollama is down
assert.equal(body.dependencies.embed_model.status, "unobservable");
assert.equal(body.dependencies.qdrant.measurement_surface, "http://qdrant.test:6333/readyz");
});
});
test("/health: dep returning HTTP 500 is unobservable, not ok and not absent", async () => {
const routes = happyRoutes();
routes["GET http://qdrant.test:6333/readyz"] = () => new Response("boom", { status: 500 });
await withServer(fakeFetch(routes), async (base) => {
const res = await fetch(`${base}/health`);
assert.equal(res.status, 503);
const body = await res.json();
assert.equal(body.status, "degraded");
assert.equal(body.dependencies.qdrant.status, "unobservable");
assert.equal(body.dependencies.qdrant.http_status, 500);
assert.equal(body.dependencies.ollama.status, "ok");
});
});
test("/health: embed model missing from a REACHABLE ollama is absent (a true gap)", async () => {
const routes = happyRoutes();
routes["GET http://ollama.test:11436/api/tags"] = () => jsonResponse({ models: [{ name: "qwen3:30b-a3b" }] });
await withServer(fakeFetch(routes), async (base) => {
const res = await fetch(`${base}/health`);
const body = await res.json();
assert.equal(body.dependencies.ollama.status, "ok", "ollama itself was observable");
assert.equal(body.dependencies.embed_model.status, "absent");
assert.equal(body.status, "degraded");
assert.equal(res.status, 503);
});
});
// ---------------------------------------------------------------------------
// /v1/embed
// ---------------------------------------------------------------------------
test("POST /v1/embed returns one vector per text via ollama", async () => {
const f = fakeFetch(happyRoutes());
await withServer(f, async (base) => {
const res = await fetch(`${base}/v1/embed`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({ texts: ["hello", "worlds!"] }),
});
assert.equal(res.status, 200);
const body = await res.json();
assert.equal(body.vectors.length, 2);
assert.deepEqual(body.vectors[0], vecFor("hello"));
assert.deepEqual(body.vectors[1], vecFor("worlds!"));
assert.equal(body.measurement_surface, "http://ollama.test:11436/api/embeddings");
assert.ok(Date.parse(body.observed_at));
const embedCalls = f.calls.filter((c) => c.key.includes("/api/embeddings"));
assert.equal(embedCalls.length, 2);
assert.equal(embedCalls[0].body.model, "nomic-embed-text");
});
});
test("POST /v1/embed with ollama down returns 502 marked unobservable with surface", async () => {
const deadFetch = async () => {
throw new TypeError("fetch failed: ECONNREFUSED");
};
await withServer(deadFetch, async (base) => {
const res = await fetch(`${base}/v1/embed`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({ texts: ["hello"] }),
});
assert.equal(res.status, 502);
const body = await res.json();
assert.equal(body.status, "unobservable");
assert.equal(body.measurement_surface, "http://ollama.test:11436/api/embeddings");
assert.ok(Date.parse(body.observed_at));
});
});
test("POST /v1/embed validates body", async () => {
await withServer(fakeFetch(happyRoutes()), async (base) => {
for (const bad of [{}, { texts: [] }, { texts: "hello" }, { texts: [1, 2] }]) {
const res = await fetch(`${base}/v1/embed`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify(bad),
});
assert.equal(res.status, 400);
}
});
});
// ---------------------------------------------------------------------------
// /v1/index
// ---------------------------------------------------------------------------
test("POST /v1/index embeds, auto-creates missing collection, upserts points", async () => {
const f = fakeFetch(happyRoutes());
await withServer(f, async (base) => {
const res = await fetch(`${base}/v1/index`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({
collection: "notes",
items: [
{ id: 1, text: "alpha", payload: { src: "t" } },
{ id: 2, text: "beta" },
],
}),
});
assert.equal(res.status, 200);
const body = await res.json();
assert.equal(body.indexed, 2);
assert.equal(body.collection, "notes");
// collection was created with the right vector size
const create = f.calls.find((c) => c.key === "PUT http://qdrant.test:6333/collections/notes");
assert.ok(create, "collection create issued");
assert.equal(create.body.vectors.size, DIM);
// points carried vectors and payload (text folded in)
const upsert = f.calls.find((c) => c.key.startsWith("PUT http://qdrant.test:6333/collections/notes/points"));
assert.equal(upsert.body.points.length, 2);
assert.deepEqual(upsert.body.points[0].vector, vecFor("alpha"));
assert.deepEqual(upsert.body.points[0].payload, { src: "t", text: "alpha" });
});
});
test("POST /v1/index with qdrant down returns 502 unobservable (never silently indexed:0)", async () => {
const routes = happyRoutes();
const qdrantDead = ({ url }) => {
throw new TypeError("fetch failed: ECONNREFUSED " + url);
};
routes["GET http://qdrant.test:6333/collections/notes"] = qdrantDead;
await withServer(fakeFetch(routes), async (base) => {
const res = await fetch(`${base}/v1/index`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({ collection: "notes", items: [{ id: 1, text: "alpha" }] }),
});
assert.equal(res.status, 502);
const body = await res.json();
assert.equal(body.status, "unobservable");
assert.equal(body.measurement_surface, "http://qdrant.test:6333/collections/notes");
});
});
// ---------------------------------------------------------------------------
// /v1/search
// ---------------------------------------------------------------------------
test("POST /v1/search embeds the query and returns scored payloads", async () => {
const f = fakeFetch(happyRoutes());
await withServer(f, async (base) => {
const res = await fetch(`${base}/v1/search`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({ collection: "notes", query: "find alpha", limit: 2 }),
});
assert.equal(res.status, 200);
const body = await res.json();
assert.equal(body.results.length, 2);
assert.deepEqual(body.results[0], { id: "a", score: 0.91, payload: { text: "alpha", src: "t" } });
const search = f.calls.find((c) => c.key.startsWith("POST http://qdrant.test:6333/collections/notes/points/search"));
assert.deepEqual(search.body.vector, vecFor("find alpha"));
assert.equal(search.body.limit, 2);
assert.equal(search.body.with_payload, true);
});
});
test("POST /v1/search with qdrant down returns 502 unobservable — never an empty result set", async () => {
const routes = happyRoutes();
routes["POST http://qdrant.test:6333/collections/notes/points/search"] = () => {
throw new TypeError("fetch failed: ECONNREFUSED");
};
await withServer(fakeFetch(routes), async (base) => {
const res = await fetch(`${base}/v1/search`, {
method: "POST",
headers: { "content-type": "application/json" },
body: JSON.stringify({ collection: "notes", query: "anything" }),
});
assert.equal(res.status, 502);
const body = await res.json();
assert.equal(body.status, "unobservable");
assert.ok(!("results" in body), "an unobservable search must not look like an empty result");
});
});