# Architecture

This document describes the structure, boundaries, flows, and technical rules of the system.

## High-Level Overview

Genshin Artifact Assistant is a local desktop application. Electron owns OS integration, screen capture, IPC, and overlay windows. React owns the interactive UI. Domain logic for OCR parsing, scoring, scanner state, and recommendations lives in TypeScript modules under `src/lib`.

```mermaid
flowchart LR
    User["User"]
    Genshin["Genshin Impact Window"]
    Electron["Electron Main Process"]
    React["React Renderer"]
    Parser["OCR Parser and Scoring"]
    LocalData["Local Snapshot / Future SQLite"]

    User --> React
    React --> Electron
    Electron --> Genshin
    Electron --> React
    React --> Parser
    Parser --> React
    React --> LocalData
```

## Architecture Style

| Field | Value |
| --- | --- |
| Style | Desktop modular monolith |
| Primary reason | One local app with tight UI, capture, and parsing feedback loops |
| Main trade-off | Faster iteration now, but scanner heuristics must stay isolated to avoid UI coupling |

## Folder Structure

```text
/
  electron/          Electron main process and preload bridge
  src/               React app, domain types, parser/scoring logic
  data/              Seed or package data
  docs/              Project documentation and decisions
  dist/              Generated renderer build
  dist-electron/     Generated Electron build
  outputs/           Packaged app output
```

## Module Responsibilities

| Module | Responsibility |
| --- | --- |
| `electron/main.ts` | Window lifecycle, capture source listing, Smart Capture, OCR crop generation, overlay window IPC, input/capture sidecar orchestration, JSON artifact store, dev-only scanner control endpoints |
| `electron/preload.cjs` | Safe renderer bridge exposed as `window.assistantApi` |
| `src/lib/artifactStore.ts` | Pure signature/id/record helpers for the persistent artifact store |
| `src/App.tsx` | Main app shell, scan view, triage view, build view, overlay preview |
| `src/lib/artifactOcrParser.ts` | Converts OCR output into a parsed artifact candidate with confidence and notes |
| `src/lib/fuzzyMatch.ts` | Generic fuzzy string matching for OCR text against known game data |
| `src/lib/genshinLookup.ts` | Pure lookup and validation API for generated Genshin data |
| `src/lib/autoScanEntry.ts` | Pure entry-mode planning and auto-scan preflight validation |
| `src/lib/cardReadyGate.ts` | Detail/page fingerprint readiness gate for scan timing |
| `src/lib/scoring.ts` | Recommendation and build scoring logic |
| `src/lib/demoData.ts` | Temporary local demo snapshot |
| `src/data/genshinGameData.json` | Generated local dictionary of characters, artifact sets, slots, and stats |
| `scripts/generate-genshin-data.cjs` | Regenerates the local Genshin dictionary from `genshin-db` |
| `src/types/*` | Shared app, capture, and domain contracts |

## Dependency Rules

- Renderer code calls Electron only through the preload bridge.
- Electron main process must not import React renderer modules.
- Pure parsing and scoring modules must not depend on Electron APIs.
- OCR uncertainty must be represented in data, not hidden in UI only.
- Generated folders must not be treated as source of truth.

## Smart Capture Flow

```mermaid
sequenceDiagram
    participant UI as React Scan UI
    participant Bridge as Preload Bridge
    participant Main as Electron Main
    participant Game as Genshin Window
    participant OCR as OCR Worker

    UI->>Bridge: captureSource(sourceId, 0, focusGenshin=true)
    Bridge->>Main: IPC capture:captureSource
    Main->>Main: Hide app window
    Main->>Game: Focus Genshin window
    Main->>Main: Capture primary screen via GDI
    Main->>Main: Detect artifact detail panel
    Main->>OCR: OCR focused crops
    OCR-->>Main: Text and confidence
    Main->>Main: Restore app window
    Main-->>UI: Full capture, detail preview, crops, OCR results
    UI->>UI: Parse candidate and show result
```

## Data Flow

| Data | Source | Owner | Consumers |
| --- | --- | --- | --- |
| Capture sources | Electron desktopCapturer | Electron main | Scan UI |
| Screenshot | Windows GDI / desktopCapturer | Electron main | Cropper, OCR, UI preview |
| OCR crops | Electron main | Electron main | Details modal, parser |
| Game dictionary | `genshin-db` generated JSON | `src/data/genshinGameData.json` | OCR parser |
| Parsed artifact candidate | OCR parser | Renderer domain logic | Result panel, future local DB |
| Review samples | User action in Scan UI | Electron userData `review-samples.jsonl` | Future regression tests and OCR training |
| Stored artifacts | Manual/automatic scans | Electron userData `artifact-store.json` (dedupe by content signature) | Future triage, recommendations, SQLite migration |
| Recommendations | Scoring module | Renderer domain logic | Triage and builds views |

## Scan Modes

**Manual scan** is read-only: the user clicks artifacts in Genshin, the app repeatedly runs Smart Capture, deduplicates by content signature, persists new artifacts to the local store, and saves review samples when crops/OCR are missing, total confidence is low, field confidence is low, or parser notes indicate incomplete data.

**Automatic grid scan** is user-triggered input automation limited to clicking detected inventory tiles and wheel-scrolling the inventory. Safety and reliability rules:

- All input goes through the helper service boundary (currently a C# sidecar with
  fallback support behind the same JSON protocol). The helper owns focus, cursor
  movement, click, scroll, guard-state polling, elevation detection, and GDI
  capture. Mouse movement is sent as iterated relative input deltas instead of
  relying on a single absolute cursor jump. The helper verifies the cursor
  reached the target and refuses to click otherwise.
- `npm run dev:admin` is the validated dev path for automation when elevated
  input is required. The elevated PowerShell startup is handled by
  `scripts/dev-admin.ps1` and logged to `outputs/admin-start/admin-dev.log`.
  The user must approve UAC manually; the app cannot approve the Secure Desktop
  prompt itself.
- Failsafe: before every click and scroll the renderer polls cursor position and ESC state. Holding ESC or moving the mouse away from the last automated position aborts the scan immediately; the Stop button also aborts. Only the `GetAsyncKeyState` held-down bit (0x8000) is used - the "pressed since last call" bit fires for stale ESC presses from normal Genshin menu navigation and caused false aborts.
- SendInput's return value is checked: zero injected events (UIPI, e.g. elevated Genshin vs. non-elevated app) aborts with an explicit hint instead of silently clicking into nothing.
- Dev-only probes under `http://127.0.0.1:17317` are used for live validation:
  `/automation/probe-click?index=N` tests one read-only tile selection, and
  `/scanner/start?limit=N` starts an auto-scan with a temporary limit payload.
  The live known-good result on 2026-07-07 is documented in
  [AUTOMATION_LIVE_SCAN.md](AUTOMATION_LIVE_SCAN.md).
- Click verification: after each click the parsed detail-panel signature should change. An unchanged signature is a soft miss (it can also mean two OCR-identical neighbor pieces, common among +0 artifacts), so it is retried once with a small offset, logged with the stuck artifact name, and then skipped - never fatal on its own. The scan aborts only when the first ~6 clicks of page 1 produce nothing new (diagnosis hint: elevated Genshin blocks SendInput via UIPI, or grid coordinates are wrong) or a later page yields zero new artifacts.
- Scan stats separate clicked (click attempts), parsed (readable captures), stored (persisted), review (review samples), duplicates, and misses, so "scanned" cannot be mistaken for "successfully read".
- Artifact grid automation uses Inventory Kamera's 32-target full-page model
  (`8 x 4` safe click targets). The apparent lower fifth row sits in the
  bottom control band on 16:9 captures and is not clicked automatically.
- Guided auto-entry is state gated. The normal scan button first performs a
  lightweight no-OCR preflight; OCR/store/review work starts only after the
  artifact inventory grid and artifact detail card are visually confirmed.
- The entry path tries direct inventory (`B`) first and uses the IK-style
  ESC/B fallback only when direct entry does not reach an artifact detail card.
- Card and page waits are fingerprint based. The scanner can proceed as soon as
  the expected visual state changes and stabilizes, while still accepting IK-like
  200 ms item and 100 ms scroll readiness points.
- Scrolling sends one wheel notch per grid row with the cursor anchored over the inventory (assumption: roughly one row per notch; overlap is absorbed by dedupe, and a page without new artifacts stops the scan).
- The scan never deletes, enhances, feeds, locks, or spends anything; it only selects tiles to read them.

Parsed artifacts from both modes are persisted into `artifact-store.json` keyed by a content signature that excludes the equipped character, so re-equipping updates a record instead of duplicating it. Leveling an artifact currently creates a new record (documented limitation until rescan-merge exists).

## Security And Safety

| Area | Policy |
| --- | --- |
| Game access | Screen capture only; no memory reads, hooks, or process injection |
| Automation | Future feature only, opt-in and reversible |
| Data privacy | Local-first; no upload path in scanner MVP |
| Secrets | No cookies or API tokens required for scanner MVP |
| Unsafe actions | Never delete, feed, enhance, or spend resources |

## Error Handling

- Capture failures should surface in the scan status row.
- Missing Electron bridge should explain that browser preview cannot capture Genshin.
- OCR failures should leave the capture available and mark parsed fields as unknown.
- Low-confidence data should go to review instead of silent acceptance.
- Parsed artifact fields carry individual confidence and source metadata so the UI can show uncertainty per field.

## Performance

Current OCR is still measured against the IK target rather than assumed good.
The app keeps a Tesseract.js worker pool, can use the Inventory-Kamera
`genshin_fast_09_04_21.traineddata` path for comparison, and reports capture,
OCR, card-ready, scroll-ready, active-scan, and projected-100 timings. A default
engine change requires a same-capture benchmark and a qualified live soak result.