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_loadsdelta tables;audit_runs.git_shanames the commit the code came from (GIT_SHA, else a deliveredrevision.txt, elsegit 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 withSCHEMA__NAMING=direct; the default naming collapses the double underscores. Import it asfrom vibedata.dlt.core import dataset—vibedata.dltis 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.
Metadata
Release files for vibedata-dlt-core 0.10.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| vibedata_dlt_core-0.10.0.tar.gz | 20.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vibedata_dlt_core-0.10.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 34.6 kB
Release files / vibedata_dlt_core-0.10.0.tar.gz
| Download URL | vibedata_dlt_core-0.10.0.tar.gz |
|---|---|
| Size | 20.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
fce520c7792a42a27fb5682f445104cfb636ebf2d5a3f6c29aadbf270cbe72d9
|
|
BLAKE2b-256 checksum How to use checksums |
c8f3887961be923c9a934ce5eda7c85ee1bdd06b2fe61248f53b30b2ef394d63
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.17
|
Release files / vibedata_dlt_core-0.10.0-py3-none-any.whl
| Download URL | vibedata_dlt_core-0.10.0-py3-none-any.whl |
|---|---|
| Size | 14.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
33b96f1a388e26c00f14caf0b7d50ded6b8eeb82d3333741c26ed67750f52eb7
|
|
BLAKE2b-256 checksum How to use checksums |
e3d4c1ec3e9b5aa04cc55ef62bbfbc61c704b2852aba363d5cae30e3fadb4862
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.17
|
Security for vibedata-dlt-core 0.10.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.