Add OSI -> LookML (BigQuery) converter#144
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Adds a first-class converter that exports OSI semantic models to LookML,
the semantic modeling language for Looker (Google Cloud's semantic layer
over BigQuery), analogous to the existing OSI -> Snowflake Cortex Analyst
converter.
- converters/bigquery/: offline OSI -> LookML converter, README, tests, and a
BigQuery-dialect example fixture
- datasets -> views (sql_table_name; backtick-quoted 3-part BigQuery refs;
derived_table for subquery sources)
- fields -> dimensions; time fields -> dimension_group
- metrics -> measures; relationships -> explore/join (composite-key aware)
- prefers the BIGQUERY dialect, falls back to ANSI_SQL
- validation/validate.py: map the BIGQUERY dialect to sqlglot's bigquery
dialect so GoogleSQL expressions (e.g. SAFE_CAST) validate correctly
- converters/index.md: list BigQuery/LookML as a supported converter
26 passing tests; the converter handles the ANSI-only TPC-DS example as-is.
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Adds a first-class converter that exports OSI semantic models to LookML, the semantic modeling language for Looker (Google Cloud's semantic layer over BigQuery), analogous to the existing OSI -> Snowflake Cortex Analyst converter.
26 passing tests; the converter handles the ANSI-only TPC-DS example as-is.