- rpa-dashboard-no-ai/SKILL.md: trigger description and the workflow in spec order (scan, report/keep-or-restyle, colours, stack, sections, build, wire, verify). - templates/themes.md: Tebra Sky and Superbill Ember, light and dark blocks. - templates/palette.py: derives a custom palette from one brand hex and checks text contrast in light and dark. - dashboard.html: built-in sample data so a page with no bot works on first open; cleared batches in the donut; component tokens so Ember is a token-only swap; accessible names for KPI cards, nav, steps, log, search and the dark toggle. - bridge.py: placeholders inside string literals, so it passes the lint hook unfilled. - tests/page_check: Seam 1 harness (fake Qt bridge, light/dark/narrow). - tests/evals: Seam 2 runner and fixture a-empty. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
2.1 KiB
2.1 KiB
Dashboard data contract (no-AI)
All updates use one envelope: {"event": "<name>", "data": {...}}.
- Desktop (PyQt): Python calls
window.__pyMsg(json)viarunJavaScript(seebridge.py). - Web: the page polls
GET {API_BASE}/dashboard(returnsdashboard_data) andGET {API_BASE}/run/status→{"running": bool, "events": [envelope, ...]}. Poll fast (2s) only while running. - No bot yet: with
SAMPLE_DATA = true, the page answers its own data actions with sample envelopes.
Bot/backend → page
| event | data |
|---|---|
status |
{state: "ready"|"running"|"done"|"error", msg} |
step |
{label: <one of STEPS>, pct: 0-100} |
log |
{msg: <plain English>, type: "info"|"success"|"warn"|"error"} |
dashboard_data |
{batches: [{batch_id, date, state: "completed"|"inprogress"|"notcompleted"|"cleared", items_total, items_done, ...}]} |
report_data |
{rows: [{...REPORT_COLUMNS keys, status, bucket: "success"|"attention"|"failed"}]} |
set_user |
{username, emp_id, role} |
apply_dark |
{on: bool} |
Optional (only if the section was chosen): cpstate {kind: pending|active|done|stuck, cp: int}, admin_data, batch_detail.
Page → bot/backend (Qt @pyqtSlot names / web POST {API_BASE}/<slot-with-dashes>)
load_dashboard, start_automation, request_stop, load_latest_report, download_report, set_dark(on), logout.
Rules (learned on Tebra)
- Log the raw bot line to a file/DB; show only friendly text on screen. Never hide an error line.
- Step markers: match the bot's printed lines by specific substring (e.g.
[step 3]), not a bare word. A bare word matches unrelated lines. - Derive
state: Pending + today =inprogress; Pending + older day =notcompleted. - Report
bucket: success = {processed successfully, posted, completed}; failed = {error, failed}; everything else = attention. - Run the bot in a separate process that writes to a log file, and have the UI tail that file. When pywinauto/UIA runs inside a Qt worker thread, its reads are unreliable (Tebra bug-094).