vibedata-dlt-core

Cross-platform shared core for the VibeData dlt runtime. Provides the platform-agnostic building blocks every execution unit depends on:

audit — extract dlt trace metrics into the audit_runs / audit_table_loads delta tables; audit_runs.git_sha names the commit the code came from (GIT_SHA, else a delivered revision.txt, else git rev-parse HEAD, else null).
dataset — dataset("src_salesforce") names a dataset logically; VD_EPHM_SCHEMA_PREFIX (sent by Studio on shared-container platforms, empty elsewhere) decides the physical name, by the same rule dbt uses. dlt's staging dataset inherits the prefix when dlt runs with SCHEMA__NAMING=direct; the default naming collapses the double underscores. Import it as from vibedata.dlt.core import dataset — vibedata.dlt is a namespace package and has no module of its own.
pipeline_context — resolve the run's pipeline/connection context from the project's dlt config.

Import namespace: vibedata.dlt.core. This is a dependency package — it is not installed to run a pipeline on its own. Platform cores (vibedata-dlt-fabric-core, vibedata-dlt-duckdb-core) and the execution-unit distributions build on it.

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Release files for vibedata-dlt-core 0.9.0

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Source distribution for vibedata-dlt-core 0.9.0
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Download URL	vibedata_dlt_core-0.9.0.tar.gz
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Download URL	vibedata_dlt_core-0.9.0-py3-none-any.whl
Size	14.4 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`cb19a8fd4c015af19835c198629f93719b8eb96349479994147fc24b52834921`
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Upload date	Oct 22, 2026
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Uploaded via	`twine/7.0.0 CPython/3.11.17`

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