Skip to content

dataverse-python-advanced-patterns

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

9,216
installs
0 up / 0 down, score 0.00
votes
40,281
repo stars
Updated
less than a month ago
In the catalog since
1 Oct 2026
From
github/awesome-copilot
Get it through your agent npx skills add github/awesome-copilot@dataverse-python-advanced-patterns

Skill instructions

Rendered from the published SKILL.md, 13 lines.

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.