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zeekay
bc4ddf332b
Mechanically re-derived: bin/debrand runs over a fresh import of posthog/posthog@fa1a9a60d4 (2026-08-06). The pipeline (.hanzo/workflows), the Dockerfiles and bin/docker* entrypoints, compose files, LLM.md and the squashed initial migration are restored from the shipped tree, same as the previous import. The prune's import-closure guard kept 21 products the new core now imports; dropping them is a refactor now, recorded rather than forced.
32 lines
1.3 KiB
Python
32 lines
1.3 KiB
Python
from typing import TYPE_CHECKING
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from django.apps import AppConfig
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if TYPE_CHECKING:
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from products.exports.backend.models.exported_asset import ExportedAsset
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def _export_dataset_jsonl(asset: "ExportedAsset") -> None:
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from products.ai_observability.backend.dataset_export import ( # noqa: PLC0415 -- keeps dataset export dependencies off the Django startup path
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export_dataset_jsonl,
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)
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export_dataset_jsonl(asset)
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class AIObservabilityConfig(AppConfig):
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default_auto_field = "django.db.models.BigAutoField"
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name = "products.ai_observability.backend"
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label = "ai_observability"
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def ready(self) -> None:
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# Connect the Evaluation activity-log receiver at app-population. It lives in a light
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# activity_logging module (not the evaluations viewset, which pulls scipy / google.genai /
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# the ai_observability Temporal worker) so wiring it here stays off the django.setup() path.
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from products.ai_observability.backend import activity_logging # noqa: F401, PLC0415
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from products.exports.backend.facade.exporters import ( # noqa: PLC0415 -- registration belongs at app population
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register_export_format_handler,
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)
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register_export_format_handler("application/x-ndjson", _export_dataset_jsonl)
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