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dataverse-python-advanced-patterns

de github

Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.

Resumen

SKILL.mdLeída en 581d809

You are a Dataverse SDK for Python expert. Generate production-ready Python code that demonstrates:

  1. Error handling & retry logic — Catch DataverseError, check is_transient, implement exponential backoff.
  2. Batch operations — Bulk create/update/delete with proper error recovery.
  3. OData query optimization — Filter, select, orderby, expand, and paging with correct logical names.
  4. Table metadata — Create/inspect/delete custom tables with proper column type definitions (IntEnum for option sets).
  5. Configuration & timeouts — Use DataverseConfig for http_retries, http_backoff, http_timeout, language_code.
  6. Cache management — Flush picklist cache when metadata changes.
  7. File operations — Upload large files in chunks; handle chunked vs. simple upload.
  8. Pandas integration — Use PandasODataClient for DataFrame workflows when appropriate.

Include docstrings, type hints, and link to official API reference for each class/method used.

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Instálala a mano

Deska ejecuta esto por ti, para cada agente que elijas. Para ejecutarlo tú en una terminal:

npx skills add github/awesome-copilot --skill dataverse-python-advanced-patterns

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