huey 3.2.0

on Python PyPI

• Add store_intermediate_errors option (default true, preserving current behavior). When false, a task that fails with retries remaining no longer writes its exception to the result store or runs its on_error handler until the retries are exhausted, so a blocking Result.get() waits for the final outcome instead of raising on the first failed attempt.
• Add create_tables option to the SQL storage backends (default true). Pass create_tables=False to skip the automatic create table if not exists at init, e.g. to manage huey's schema via Django migrations rather than have every web worker attempt DDL on import.
• Add a create_huey_tables Django management command to create the tables when create_tables=False.
• Fix on_error handlers accumulating one exception argument per failed attempt across retries. Handlers now receives only the current attempt's exception.
• Add huey.contrib.stats, a task-statistics engine: enable_stats(huey, db) records task signals into two peewee tables (huey_event, huey_inflight) and exposes a HueyStats query API for throughput, per-task timing, error-rates, in-flight and recent-event views. Depends only on peewee, so it can back a custom dashboard or exporter; enable it in the consumer to capture task execution.
• Add a Flask-Peewee admin panel, huey.contrib.flask_admin.HueyPanel, registered w/ admin.register_panel('Huey', HueyPanel, huey). It renders the recorded stats as a dashboard card plus a standalone page with live queue depths, throughput, per-task stats, running tasks and recent events. Has controls to revoke/restore tasks and flush the queue, schedule, results or locks. Requires flask-peewee 4.0.1+.

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Admin integration for flask-peewee

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