bug_report
pyWATS DebugSuite
·
info How this works

Each virtual ATE drops raw log files into a converter's watch folder at a configurable tempo, mimicking a real test station. The client's converter pipeline then processes the files exactly as if a real ATE had produced them — validate, convert, queue, submit — so this exercises the full pipeline (including yield monitor input). Nothing is written to the WATS server directly.

Target folders are discovered from . Add converters in the Configurator first; refresh this window with Reload config after changes.

tune ATEs
No ATEs yet — click Add ATE.
monitoring Status Idle
Not running.
folder_open Available converter targets
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