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[eric] analytics: re-port ANALYTICS_OVERVIEW.md SDK contract into the subpackage so the docstring reference resolves
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# Analytics Overview (`swarm-analytics` SDK)
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This document explains how the OpenSwarm product-analytics system works and how
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to use the `swarm-analytics` Python SDK to send analytics from the desktop app.
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It is written for an engineer/agent integrating the SDK into a separate codebase.
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---
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## 1. The big picture
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- There is a standalone **analytics ingest service** (a FastAPI app, the
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`product-analytics-v1` repo). It exposes a small set of **typed POST
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endpoints** under `/public/*` — one per event category.
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- The **desktop app's Python backend is the single network egress** for
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analytics. The React frontend never talks to the analytics service directly;
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if the UI needs to record something it hands it to the local backend, which
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forwards it. (This doc only covers the backend SDK.)
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- The backend talks to the service through the **`swarm-analytics` pip
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package** — a typed client that is **auto-generated from the service's own
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pydantic models**, so the client validates payloads against the *exact* schema
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the server enforces. If a call would be rejected by the server for being the
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wrong shape, it fails locally first, as a `pydantic.ValidationError`, before
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any network I/O.
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### Why it's "impossible to call wrong"
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- **Identity is never passed by the caller.** No method takes `install_id` or
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`user_id`. The server resolves identity from the **bearer token** on every
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request. There is no way to spoof or forget it.
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- **Per-request metadata is auto-filled.** `ts` (client timestamp) and
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`submission_id` (idempotency UUID) never appear in any method signature — the
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transport stamps them automatically.
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- **Enums are `Literal`s.** Fields like `action` and `status` only accept their
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allowed values; a typo raises immediately.
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- **Models are vendored verbatim** from the service, so client and server can't
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drift (a generator + drift check guard this).
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---
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## 2. How a call flows (sync validate, async deliver)
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The public API is **fully synchronous and fire-and-forget**:
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1. You call e.g. `client.logs.write(tag="app", subtag="started")`.
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2. On the **calling thread**, the payload is validated against the pydantic
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model. Bad input raises `pydantic.ValidationError` *here, in your stack*.
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3. A serialized record is handed to a **background worker thread** which does the
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actual HTTP POST, with retries and exponential backoff.
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4. The call returns immediately. It never blocks on the network and (after
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validation) never raises for delivery problems.
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**Idempotency:** `submission_id` is minted once at enqueue time and reused on
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every retry (including replays from a durable spool after a restart). The server
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dedups on `(install_id, submission_id)`, so retries are no-ops, never
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double-writes.
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**Retry policy (handled for you):**
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- `2xx` → success.
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- `429` and `5xx` → retried with backoff (up to `max_attempts`, default 8).
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- other `4xx` → permanent (bad data); dropped, not retried.
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- network/timeout errors → retried.
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---
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## 3. Install
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```bash
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pip install swarm-analytics
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```
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(Or `pip install ./sdk` from the analytics repo root for a local build.)
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---
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## 4. Bootstrap: minting a token (`register`)
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A fresh install has no token. `register()` is the **one unauthenticated,
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blocking** call — it mints an install token from an `install_id` you own.
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```python
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from swarm_analytics import AnalyticsClient
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token = AnalyticsClient.register(
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base_url="https://analytics.example.com",
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install_id=install_id, # your app's stable per-install UUID
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)
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# Persist `token`. Reuse it on every subsequent run — never call register again
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# once you have a token.
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```
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- It POSTs to `/public/identify/create_install_token`.
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- Raises `AuthError` on 401, `TransportError` on other failures (and on network
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errors). Wrap it if you need to survive being offline on first launch.
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---
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## 5. Constructing the client
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```python
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from swarm_analytics import AnalyticsClient
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client = AnalyticsClient(
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base_url="https://analytics.example.com",
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token=token, # from register(), persisted
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mode="full", # or "minimal" (see opt-out below)
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)
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```
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Constructor options:
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| Arg | Default | Meaning |
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| -------------- | ------------------ | -------------------------------------------------------------- |
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| `base_url` | (required) | Root URL of the analytics service. |
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| `token` | (required) | Install token from `register()`. |
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| `mode` | `"full"` | `"minimal"` mutes product telemetry (see §7). |
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| `spool` | `None` | Optional durable store for crash/offline survival (see §8). |
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| `max_attempts` | `8` | Retry cap per record before it's dropped. |
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| `on_drop` | `None` | Callback `(record, status)` when a record is permanently dropped. |
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The client starts a daemon worker thread on construction. Build **one client per
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process** and reuse it (a module-level singleton is ideal).
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---
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## 6. The full API surface
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Every method is keyword-only and returns `None`. Identity, `ts`, and
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`submission_id` are intentionally absent — they're handled for you.
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### Logs (diagnostics)
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```python
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client.logs.write(tag="agent", subtag="tool", data={"name": "shell"})
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client.logs.write(tag="app", subtag="backend_started", data={"app_version": "1.2.0"})
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```
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- `tag: str` (required), `subtag: str | None = None`, `data: Any = None`
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(any JSON-serializable value — stored as opaque JSON server-side).
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### Product events
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```python
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# App lifecycle
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client.events.app_lifecycle.opened(os="darwin", os_version="25.3.0",
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app_version="1.2.0",
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timezone="America/Los_Angeles", locale="en-US")
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client.events.app_lifecycle.closed()
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# Agent sessions
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client.events.agent.create(id="sess_123", name="Refactor auth", dashboard_id="dash_1")
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client.events.agent.message(agent_id="sess_123", seq=0,
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message=AgentMessage(id="m1", role="user", content="hello"))
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# Dashboards
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client.events.dashboard.event(dashboard_id="dash_1", action="create") # open|close|create|delete
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# Onboarding
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client.events.onboarding.step(step_id="connect_provider", status="completed") # started|completed|abandoned
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```
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`AgentMessage` is importable from the package:
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```python
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from swarm_analytics import AgentMessage
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```
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### Identity
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```python
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client.identify.link_email(email="user@example.com")
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```
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Links an email to the current install (resolved from the token). Use it once the
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user provides an email; do **not** pass any id.
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---
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## 7. Categories and opt-out (`mode`)
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Every endpoint has a category. `mode="minimal"` mutes only the `product`
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category; everything else still flows:
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| Category | Endpoints | Flows in `minimal`? |
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| ------------ | -------------------------------------- | ------------------- |
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| `product` | all `client.events.*` | **No** (muted) |
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| `diagnostic` | `client.logs.write` | **Yes** |
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| `identity` | `client.identify.link_email` | **Yes** |
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| `bootstrap` | `register()` | **Yes** |
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So a **log write always flows**, even when the user opted out of product
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telemetry. Map your app's existing opt-out toggle onto `mode`: opted-out →
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`"minimal"`, otherwise `"full"`.
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---
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## 8. Durability (optional spool)
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By default, in-flight records live in an in-memory queue and are lost if the
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process dies with deliveries pending. Pass a spool to persist them to disk and
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replay on next launch (with the same `submission_id`, so dedup still holds):
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```python
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from swarm_analytics import SqliteSpool
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client = AnalyticsClient(base_url=..., token=...,
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spool=SqliteSpool("/path/to/service_spool.db"))
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```
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For the initial integration you can skip this; add it once the basic path works.
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---
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## 9. Shutdown
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Flush pending records before the process exits so you don't lose the tail:
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```python
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client.flush(timeout=2.0) # block until drained, or give up after 2s
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client.close() # stop the worker thread
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```
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`AnalyticsClient` is also a context manager (`__exit__` flushes + closes).
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---
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## 10. Error model
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| Where | What you get |
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| -------------------------- | ------------------------------------------------------------------- |
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| Bad call arguments | `pydantic.ValidationError`, synchronously, on the calling thread. |
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| `register()` rejected/fail | `AuthError` (401) or `TransportError` (other / network). |
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| Delivery failures | Handled internally (retry/drop). Never raised to the caller. |
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Importable errors:
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```python
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from swarm_analytics import AnalyticsError, AuthError, RateLimited, TransportError, ValidationRejected
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```
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---
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## 11. Quick do / don't
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**Do**
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- Create exactly one `AnalyticsClient` per process and reuse it.
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- Call `register()` once, persist the token, reuse it forever.
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- Let the SDK fill `ts`/`submission_id`; let the server resolve identity.
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- `flush()` + `close()` on shutdown.
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**Don't**
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- Don't pass `install_id`, `user_id`, `ts`, or `submission_id` — there's no
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parameter for them by design.
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- Don't construct a new client per event.
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- Don't call `register()` on every launch.
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- Don't hand-edit anything under `_generated/` (it's regenerated from the service).
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