Converts the input file and writes results to the specified output directory. <p>Each semantic model is written to a separate file named after its ap

OBML → OSI → OBML roundtrip.

Safely casts an Object to Map. @param obj The object to cast @return The Map value

Gets a String value from a map. @param map The map to get the value from @param key The key to look up @return The String value, or null if not found

Top-level entry point. Parses Ossie YAML, validates, converts, returns Snowflake YAML string. Expects the standard Ossie wrapped format::

Minimal single-dataset OSI v0.2 model carrying the given metrics.

Gets a List value from a map. @param map The map to get the value from @param key The key to look up @return The List value, or null if not found

Return Ossie metrics for the first semantic model, asserting they exist.

Serialize to YAML with 1.2 boolean semantics; bool-like string tokens are force-quoted so a YAML 1.1 reader of this output sees strings, not boole

Wrap a model dict in the standard Ossie envelope.

Convert a GoodData declarative model to an Ossie semantic model dict. Args: model: Parsed GoodData declarative model. model_name:

OBML → OSI → OBML roundtrip.

Convert an OSI YAML string to a Honeydew workspace file tree. Returns a dict mapping relative file paths to their YAML content strings. The c

Convert an Ossie semantic model dict to a GoodData declarative model. Args: osi_model: Parsed Ossie YAML as a dict. data_source_i

Return a copy of _BASE_OBML with Revenue measure overrides applied.

Return fields for a dataset, asserting they exist.

Convert a Honeydew workspace directory to an OSI YAML string. Reads workspace.yml and all entity subdirectories under schema/. Honeydew field

Return a minimal valid Ossie model dict.

Parses an Ossie dataset source string into a Snowflake base_table dict. Returns None if source is empty/None. Returns {"definition": source} for

Warns about Ossie fields that have no Snowflake counterpart and are dropped. Checks for universally-dropped fields (custom_extensions, label, ver

Read OSI-preserved fields from a Honeydew object's 'osi' metadata section.

Parse YAML with 1.2 boolean semantics. A syntax error is surfaced as a ConversionError so callers (and the CLI) get a clean message.

Read a fixture Omni model directory as {relative posix path: text}.

Build a Honeydew metadata entry that stores OSI-only fields for round-tripping.

Converts an Ossie relationship dict to a Snowflake relationship dict.

Extracts synonyms list from a structured ai_context object. If ai_context is a dict with a 'synonyms' key, returns the synonyms list. If ai_c

Render an MSI where-filter Jinja template to a plain SQL fragment. Jinja references such as `{{ Dimension('order__status') }}`, `{{ TimeDimen

Pull the preserved OSI metrics out of the OSI-vendor customExtension.

Safely casts an Object to List&lt;Object&gt;. Caller should check instanceof List before calling this method. @param obj the object to cast @return t

Parse an Ossie YAML file from the given path.

Selects the best dialect expression for Snowflake. Returns the expression string, or None if only unsupported dialects are present (the field

Applies mappings from source to target format. Assumes mappings are pre-filtered to the same top-level key.

Convert Omni model files ({relative filename: YAML str}) to OSI YAML. `model_name` overrides the OSI model name (default: the mapped topic's name

Returns 'dimension', 'time_dimension', or 'fact' based on field structure.

Converts an Ossie field or metric dict to a Snowflake entry with name, expr, description, and synonyms. Args: entry: The Ossie field

Select the ANSI_SQL expression; fall back to first available dialect.

Strip SQL identifier quoting (double quotes, backticks, or brackets).

Write a minimal Honeydew workspace to tmp_dir.

Filters mappings to get all entries with a specific prefix. Returns map with only the matching entries. Example: filterMappingsByPrefix(mappings, "da

True if `expr` is a single bare column reference (no operators/functions).

Filters a list to only Map items and returns a stream of safely cast Maps. This reduces boilerplate when iterating over heterogeneous lists. <p>Examp

Serialize to Ossie-compliant YAML (uses field aliases and excludes None values).

Assign each OSI metric to the most appropriate Honeydew entity. Priority: 1. HONEYDEW ``custom_extension`` entity hint (preserves round-trip

Converts an Ossie dataset dict to a Snowflake table dict.

Classify OSI fields into Honeydew dataset attributes and calculated attributes.

Extract the HONEYDEW custom_extension data from an OSI object.

Get a title from an Ossie object, preferring ai_context synonyms.

Join non-None SQL filter strings with AND, wrapping each in parens when multiple.

Uppercases an unquoted Snowflake identifier; strips and preserves quoted ones.

OBML → OSI → OBML roundtrip.

Deep copies a value (Map, List, or primitive). @param value the value to copy @return the deep copy

Finds an item in an array by matching an identifier field. @param array The array to search @param idKey The key to match (e.g., "apiName", "name") @

Return non-OMNI custom_extensions (dropped on export, with a warning).

The free-text part of an OSI ai_context: the string itself, or the object form's `instructions`.

Return the OMNI stash dict on an OSI object, or {} if absent. The `_v` version marker is stripped from the returned dict.

Validates Ossie semantic model data against the schema. @param data The semantic model data to validate @throws ValidationException if validation fai