feat: Snowflake integration with PyPI package support - #4
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- Add CLI support for `parallel-cli enrich deploy --system snowflake` - Use parallel-web-tools from PyPI via Snowflake's artifact repository - Share core enrichment logic with BigQuery/Spark integrations - Add comprehensive error handling (fail on CREATE statement errors) - Simplify codebase with extracted helper functions - Update docs with MFA setup, account identifier formats, troubleshooting
Move parameter validation (--project for BigQuery, --account/--user for Snowflake) before API key resolution. This prevents triggering the OAuth flow when required parameters are missing, improving UX and fixing CI tests that were hanging when invoking deploy without required params.
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- Remove bigquery/snowflake integrations from PyInstaller spec - Add graceful error handling when deploy modules are not available - Update documentation to clarify deploy requires pip install with extras - Standalone CLI now focuses on core features (search, extract, enrich) - Deploy commands require: pip install parallel-web-tools[snowflake|bigquery]
Conditionally register deploy command only when not running as frozen executable (PyInstaller). This prevents showing a command in --help that won't work in the standalone CLI.
BigQuery deploy uses gcloud/bq CLI, not SQLAlchemy. The [bigquery] extra is for SQLAlchemy-based access, not needed for deploy. Base package is sufficient: pip install parallel-web-tools
BigQuery source type requires sqlalchemy-bigquery driver which isn't bundled in standalone CLI. Conditionally show only available source types based on sys.frozen check.
Base pip install is now library-only. Running parallel-cli without the [cli] extra shows helpful message instead of ImportError.
CLI (click, rich, questionary, httpx) now included in base install. Simpler user experience - parallel-cli always works after pip install. Keep [cli] extra for backwards compatibility (empty).
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Summary
Snowflake Integration
parallel-cli enrich deploy --system snowflakewith options for account, user, password, MFA, warehouse, roleparallel-web-toolsfrom PyPI via Snowflake's artifact repository (snowflake.snowpark.pypi_shared_repository)enrich_batch) with BigQuery/Spark integrationsInstallation Options
pip install parallel-web-toolspip install parallel-web-tools[snowflake]pip install parallel-web-tools[bigquery]pip install parallel-web-tools[all]Standalone CLI Scope
The standalone binary focuses on core CLI features:
--helpin standalone (usessys.frozendetection)csv|duckdbin standaloneCode Quality
Test plan
parallel-cli enrich deploy --system snowflake🤖 Generated with Claude Code