Export public APIs in top-level package

src/instructlab/sdg/__init__.py

@@ -1,3 +1,42 @@
 # SPDX-License-Identifier: Apache-2.0
+
+# NOTE: This package imports Torch and other heavy packages.
+__all__ = (
+    "Block",
+    "CombineColumnsBlock",
+    "ConditionalLLMBlock",
+    "EmptyDatasetError",
+    "FilterByValueBlock",
+    "FilterByValueBlockError",
+    "GenerateException",
+    "ImportBlock",
+    "LLMBlock",
+    "Pipeline",
+    "PipelineConfigParserError",
+    "PipelineContext",
+    "SamplePopulatorBlock",
+    "SelectorBlock",
+    "SDG",
+    "SIMPLE_PIPELINES_PACKAGE",
+    "FULL_PIPELINES_PACKAGE",
+    "generate_data",
+)
+
 # Local
+from .block import Block
+from .filterblock import FilterByValueBlock, FilterByValueBlockError
+from .generate_data import generate_data
+from .importblock import ImportBlock
+from .llmblock import ConditionalLLMBlock, LLMBlock
+from .pipeline import (
+    FULL_PIPELINES_PACKAGE,
+    SIMPLE_PIPELINES_PACKAGE,
+    EmptyDatasetError,
+    Pipeline,
+    PipelineConfigParserError,
+    PipelineContext,
+)
 from .sdg import SDG
+from .utilblocks import CombineColumnsBlock, SamplePopulatorBlock, SelectorBlock
+from .utils import GenerateException
+from .utils.taxonomy import TaxonomyReadingException

src/instructlab/sdg/block.py

@@ -14,6 +14,7 @@
 logger = setup_logger(__name__)
 
 
+# This is part of the public API.
 class Block(ABC):
     def __init__(self, ctx, pipe, block_name: str) -> None:
         self.ctx = ctx

src/instructlab/sdg/filterblock.py

@@ -12,6 +12,7 @@
 logger = setup_logger(__name__)
 
 
+# This is part of the public API.
 class FilterByValueBlockError(Exception):
     """An exception raised by the FilterByValue block."""
 
@@ -73,6 +74,7 @@ def convert_column(sample):
     return samples.map(convert_column, num_proc=num_proc)
 
 
+# This is part of the public API.
 class FilterByValueBlock(Block):
     def __init__(
         self,

src/instructlab/sdg/generate_data.py

@@ -17,15 +17,15 @@
 
 # First Party
 # pylint: disable=ungrouped-imports
-from instructlab.sdg import SDG, utils
 from instructlab.sdg.llmblock import MODEL_FAMILY_MERLINITE, MODEL_FAMILY_MIXTRAL
 from instructlab.sdg.pipeline import (
     FULL_PIPELINES_PACKAGE,
     SIMPLE_PIPELINES_PACKAGE,
     Pipeline,
     PipelineContext,
 )
-from instructlab.sdg.utils import models
+from instructlab.sdg.sdg import SDG
+from instructlab.sdg.utils import GenerateException, models
 from instructlab.sdg.utils.taxonomy import (
     leaf_node_to_samples,
     read_taxonomy_leaf_nodes,
@@ -48,7 +48,7 @@ def _get_question(logger, synth_example):
         return synth_example["question"]
 
     if not synth_example.get("output"):
-        raise utils.GenerateException(
+        raise GenerateException(
             f"Error: output not found in synth_example: {synth_example}"
         )
 
@@ -64,7 +64,7 @@ def _get_response(logger, synth_example):
         return synth_example["response"]
 
     if "output" not in synth_example:
-        raise utils.GenerateException(
+        raise GenerateException(
             f"Error: output not found in synth_example: {synth_example}"
         )
 
@@ -173,12 +173,12 @@ def _sdg_init(pipeline, client, model_family, model_id, num_instructions_to_gene
     else:
         # Validate that pipeline is a valid directory and that it contains the required files
         if not os.path.exists(pipeline):
-            raise utils.GenerateException(
+            raise GenerateException(
                 f"Error: pipeline directory ({pipeline}) does not exist."
             )
         for file in ["knowledge.yaml", "freeform_skills.yaml", "grounded_skills.yaml"]:
             if not os.path.exists(os.path.join(pipeline, file)):
-                raise utils.GenerateException(
+                raise GenerateException(
                     f"Error: pipeline directory ({pipeline}) does not contain {file}."
                 )
 
@@ -198,6 +198,7 @@ def load_pipeline(yaml_basename):
     )
 
 
+# This is part of the public API, and used by instructlab.
 # TODO - parameter removal needs to be done in sync with a CLI change.
 # pylint: disable=unused-argument
 def generate_data(
@@ -226,7 +227,7 @@ def generate_data(
     tls_client_key: Optional[str] = None,
     tls_client_passwd: Optional[str] = None,
     pipeline: Optional[str] = "simple",
-):
+) -> None:
     """Generate data for training and testing a model.
 
     This currently serves as the primary interface from the `ilab` CLI to the `sdg` library.
@@ -246,11 +247,11 @@ def generate_data(
         os.mkdir(output_dir)
 
     if not (taxonomy and os.path.exists(taxonomy)):
-        raise utils.GenerateException(f"Error: taxonomy ({taxonomy}) does not exist.")
+        raise GenerateException(f"Error: taxonomy ({taxonomy}) does not exist.")
 
     leaf_nodes = read_taxonomy_leaf_nodes(taxonomy, taxonomy_base, yaml_rules)
     if not leaf_nodes:
-        raise utils.GenerateException("Error: No new leaf nodes found in the taxonomy.")
+        raise GenerateException("Error: No new leaf nodes found in the taxonomy.")
 
     name = Path(model_name).stem  # Just in case it is a file path
     date_suffix = datetime.now().replace(microsecond=0).isoformat().replace(":", "_")
@@ -301,7 +302,7 @@ def generate_data(
         samples = leaf_node_to_samples(leaf_node, server_ctx_size, chunk_word_count)
 
         if not samples:
-            raise utils.GenerateException("Error: No samples found in leaf node.")
+            raise GenerateException("Error: No samples found in leaf node.")
 
         if samples[0].get("document"):
             sdg = sdg_knowledge

src/instructlab/sdg/importblock.py

@@ -10,6 +10,7 @@
 logger = setup_logger(__name__)
 
 
+# This is part of the public API.
 class ImportBlock(Block):
     def __init__(
         self,

src/instructlab/sdg/llmblock.py

@@ -50,6 +50,7 @@ def server_supports_batched(client, model_id: str) -> bool:
     return supported
 
 
+# This is part of the public API.
 # pylint: disable=dangerous-default-value
 class LLMBlock(Block):
     # pylint: disable=too-many-instance-attributes
@@ -212,6 +213,7 @@ def generate(self, samples: Dataset, **gen_kwargs) -> Dataset:
         return Dataset.from_list(new_data)
 
 
+# This is part of the public API.
 class ConditionalLLMBlock(LLMBlock):
     def __init__(
         self,

src/instructlab/sdg/pipeline.py

@@ -14,10 +14,12 @@
 logger = setup_logger(__name__)
 
 
+# This is part of the public API.
 class EmptyDatasetError(Exception):
     pass
 
 
+# This is part of the public API.
 class PipelineContext:
     def __init__(
         self, client, model_family, model_id, num_instructions_to_generate
@@ -30,6 +32,7 @@ def __init__(
         self.num_procs = 8
 
 
+# This is part of the public API.
 class Pipeline:
     def __init__(self, ctx, config_path, chained_blocks: list) -> None:
         """
@@ -113,6 +116,7 @@ def _lookup_block_type(block_type):
 _PIPELINE_CONFIG_PARSER_MINOR = 0
 
 
+# This is part of the public API.
 class PipelineConfigParserError(Exception):
     """An exception raised while parsing a pipline config file."""
 
@@ -141,5 +145,6 @@ def _parse_pipeline_config_file(pipeline_yaml):
     return content["blocks"]
 
 
+# This is part of the public API.
 SIMPLE_PIPELINES_PACKAGE = "instructlab.sdg.pipelines.simple"
 FULL_PIPELINES_PACKAGE = "instructlab.sdg.pipelines.full"

src/instructlab/sdg/sdg.py

@@ -6,6 +6,7 @@
 from .pipeline import Pipeline
 
 
+# This is part of the public API.
 class SDG:
     def __init__(self, pipelines: list[Pipeline]) -> None:
         self.pipelines = pipelines

src/instructlab/sdg/utilblocks.py

@@ -9,6 +9,7 @@
 logger = setup_logger(__name__)
 
 
+# This is part of the public API.
 class SamplePopulatorBlock(Block):
     def __init__(
         self, ctx, pipe, block_name, config_paths, column_name, post_fix=""
@@ -38,6 +39,7 @@ def generate(self, samples) -> Dataset:
         )
 
 
+# This is part of the public API.
 class SelectorBlock(Block):
     def __init__(
         self, ctx, pipe, block_name, choice_map, choice_col, output_col
@@ -66,6 +68,7 @@ def generate(self, samples: Dataset) -> Dataset:
         )
 
 
+# This is part of the public API.
 class CombineColumnsBlock(Block):
     def __init__(
         self, ctx, pipe, block_name, columns, output_col, separator="\n\n"

src/instructlab/sdg/utils/__init__.py

@@ -1,5 +1,5 @@
 # SPDX-License-Identifier: Apache-2.0
 
-# This is part of the public API, and used by instructlab
+# This is part of the public API, and used by instructlab.
 class GenerateException(Exception):
     """An exception raised during generate step."""

src/instructlab/sdg/utils/taxonomy.py

@@ -32,6 +32,7 @@
 """
 
 
+# This is part of the public API.
 class TaxonomyReadingException(Exception):
     """An exception raised during reading of the taxonomy."""