dataverse-python-advanced-patterns
SolidGenerate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.
Data & Documents 34,887 stars
4287 forks Updated today MIT
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Quality Score: 91/100
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Issue Health 10%
License 10%
Description 5%
Skill Content
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.
Details
- Author
- github
- Repository
- github/awesome-copilot
- Created
- 1 years ago
- Last Updated
- today
- Language
- Python
- License
- MIT
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