Initial Commit

.gitignore

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+*.pyc
+*.pyo
+*.pyt
+*.pytc
+*.egg-info
+.*.swp
+.DS_Store
+venv/
+venv3/
+.cache/
+build/
+.idea/
+.coverage
+.vscode
+.Trash-0/
+.ipynb_checkpoints/
+.pytest_cache/
+dist
+

CODE_OF_CONDUCT.md

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+This project is governed by [Lyft's code of conduct](https://github.com/lyft/code-of-conduct).
+All contributors and participants agree to abide by its terms.

LICENSE

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+
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Makefile

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+.PHONY: build_python
+build_python:
+	@python setup.py sdist
+
+.PHONY: package
+package:
+	@package.sh
+
+unit_python2:
+	PYSPARK_PYTHON=python PYSPARK_DRIVER_PYTHON=python SPARK_YARN_USER_ENV="PYSPARK_PYTHON=python" python -m pytest tests/flytekit/unit
+
+unit_python3:
+	PYSPARK_PYTHON=python3 PYSPARK_DRIVER_PYTHON=python3 SPARK_YARN_USER_ENV="PYSPARK_PYTHON=python3" python3 -m pytest tests/flytekit/unit
+
+.PHONY: release
+release:
+	./package.sh

NOTICE

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+flytekit
+Copyright 2019-2020 Lyft Inc.
+
+This product includes software developed at Lyft Inc.

README.md

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+# flytekit
+Library for creating Flyte workflows

flytekit/__init__.py

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+from __future__ import absolute_import
+import flytekit.plugins
+
+__version__ = '0.1.5'

flytekit/bin/entrypoint.py

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+from __future__ import absolute_import
+
+import importlib as _importlib
+import os as _os
+
+import click as _click
+import datetime as _datetime
+import random as _random
+from flyteidl.core import literals_pb2 as _literals_pb2
+
+from flytekit.common import utils as _utils
+from flytekit.common.exceptions import scopes as _scopes, system as _system_exceptions
+from flytekit.configuration import internal as _internal_config, TemporaryConfiguration as _TemporaryConfiguration
+from flytekit.engines import loader as _engine_loader
+from flytekit.interfaces.data import data_proxy as _data_proxy
+from flytekit.interfaces import random as _flyte_random
+from flytekit.models import literals as _literal_models
+
+
+def _compute_array_job_index():
+    # type () -> int
+    """
+    Computes the absolute index of the current array job. This is determined by summing the compute-environment-specific
+    environment variable and the offset (if one's set). The offset will be set and used when the user request that the
+    job runs in a number of slots less than the size of the input.
+    :rtype: int
+    """
+    offset = 0
+    if _os.environ.get('BATCH_JOB_ARRAY_INDEX_OFFSET'):
+        offset = int(_os.environ.get('BATCH_JOB_ARRAY_INDEX_OFFSET'))
+    return offset + int(_os.environ.get(_os.environ.get('BATCH_JOB_ARRAY_INDEX_VAR_NAME')))
+
+
+def _map_job_index_to_child_index(local_input_dir, datadir, index):
+    local_lookup_file = local_input_dir.get_named_tempfile('indexlookup.pb')
+    idx_lookup_file = _os.path.join(datadir, 'indexlookup.pb')
+
+    # if the indexlookup.pb does not exist, then just return the index
+    if not _data_proxy.Data.data_exists(idx_lookup_file):
+        return index
+
+    _data_proxy.Data.get_data(idx_lookup_file, local_lookup_file)
+    mapping_proto = _utils.load_proto_from_file(_literals_pb2.LiteralCollection, local_lookup_file)
+    if len(mapping_proto.literals) < index:
+        raise _system_exceptions.FlyteSystemAssertion(
+            "dynamic task index lookup array size: {} is smaller than lookup index {}".format(
+                len(mapping_proto.literals), index))
+    return mapping_proto.literals[index].scalar.primitive.integer
+
+
+@_scopes.system_entry_point
+def execute_task(task_module, task_name, inputs, output_prefix, test):
+    with _TemporaryConfiguration(_internal_config.CONFIGURATION_PATH.get()):
+        with _utils.AutoDeletingTempDir('input_dir') as input_dir:
+            # Load user code
+            task_module = _importlib.import_module(task_module)
+            task_def = getattr(task_module, task_name)
+
+            if not test:
+                local_inputs_file = input_dir.get_named_tempfile('inputs.pb')
+
+                # Handle inputs/outputs for array job.
+                if _os.environ.get('BATCH_JOB_ARRAY_INDEX_VAR_NAME'):
+                    job_index = _compute_array_job_index()
+
+                    # TODO: Perhaps remove.  This is a workaround to an issue we perceived with limited entropy in
+                    # TODO: AWS batch array jobs.
+                    _flyte_random.seed_flyte_random(
+                        "{} {} {}".format(
+                            _random.random(),
+                            _datetime.datetime.utcnow(),
+                            job_index
+                        )
+                    )
+
+                    # If an ArrayTask is discoverable, the original job index may be different than the one specified in
+                    # the environment variable. Look up the correct input/outputs in the index lookup mapping file.
+                    job_index = _map_job_index_to_child_index(input_dir, inputs, job_index)
+
+                    inputs = _os.path.join(inputs, str(job_index), 'inputs.pb')
+                    output_prefix = _os.path.join(output_prefix, str(job_index))
+
+                _data_proxy.Data.get_data(inputs, local_inputs_file)
+                input_proto = _utils.load_proto_from_file(_literals_pb2.LiteralMap, local_inputs_file)
+                _engine_loader.get_engine().get_task(task_def).execute(
+                    _literal_models.LiteralMap.from_flyte_idl(input_proto),
+                    context={'output_prefix': output_prefix}
+                )
+
+
+@_click.command('pyflyte-execute')
+@_click.option('--task-module', required=True)
+@_click.option('--task-name', required=True)
+@_click.option('--inputs', required=True)
+@_click.option('--output-prefix', required=True)
+@_click.option('--test', is_flag=True)
+def execute_task_cmd(task_module, task_name, inputs, output_prefix, test):
+    _click.echo(_utils.get_version_message())
+    execute_task(task_module, task_name, inputs, output_prefix, test)

flytekit/bin/spark_executor.py

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+from __future__ import absolute_import
+from flytekit.bin import entrypoint as _entrypoint
+import click as _click
+
+
+@_click.group()
+def sparkrunner():
+    pass
+
+
+@sparkrunner.command()
+@_click.option('--task-module', required=True)
+@_click.option('--task-name', required=True)
+@_click.option('--inputs', required=True)
+@_click.option('--output-prefix', required=True)
+@_click.option('--test', is_flag=True)
+def execute_spark_task(task_module, task_name, inputs, output_prefix, test):
+    _entrypoint.execute_task(task_module, task_name, inputs, output_prefix, test)
+
+
+if __name__ == "__main__":
+    sparkrunner()