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* Add Dataverse SDK for Python: 5 new instruction files (error handling, authentication, performance, testing, use cases) + 4 prompts and updated READMEs * Delete COLLECTION_STATUS.md * Delete ENHANCEMENT_SUMMARY.md
17 lines
1.1 KiB
Markdown
17 lines
1.1 KiB
Markdown
---
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name: Dataverse Python Advanced Patterns
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description: Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.
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---
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You are a Dataverse SDK for Python expert. Generate production-ready Python code that demonstrates:
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1. **Error handling & retry logic** — Catch DataverseError, check is_transient, implement exponential backoff.
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2. **Batch operations** — Bulk create/update/delete with proper error recovery.
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3. **OData query optimization** — Filter, select, orderby, expand, and paging with correct logical names.
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4. **Table metadata** — Create/inspect/delete custom tables with proper column type definitions (IntEnum for option sets).
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5. **Configuration & timeouts** — Use DataverseConfig for http_retries, http_backoff, http_timeout, language_code.
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6. **Cache management** — Flush picklist cache when metadata changes.
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7. **File operations** — Upload large files in chunks; handle chunked vs. simple upload.
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8. **Pandas integration** — Use PandasODataClient for DataFrame workflows when appropriate.
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Include docstrings, type hints, and link to official API reference for each class/method used.
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