From 9587a423a0d535198f7ccf6c2726525210bf1b0c Mon Sep 17 00:00:00 2001 From: John Andersen Date: Sat, 26 Oct 2019 13:47:00 -0700 Subject: [PATCH] df: Real DataFlows and HTTP MultiComm Fixes: #213 Fixes: #211 Fixes: #209 Fixes: #204 Fixes: #199 Fixes: #193 Fixes: #186 Fixes: #90 Signed-off-by: John Andersen --- .ci/run.sh | 7 + .gitignore | 3 +- CHANGELOG.md | 3 +- config/yaml/.coveragerc | 13 + config/yaml/.gitignore | 20 + config/yaml/LICENSE | 21 + config/yaml/MANIFEST.in | 3 + config/yaml/README.md | 10 + config/yaml/dffml_config_yaml/__init__.py | 0 config/yaml/dffml_config_yaml/config.py | 31 + config/yaml/dffml_config_yaml/version.py | 1 + config/yaml/pyproject.toml | 20 + config/yaml/setup.py | 17 + config/yaml/setup_common.py | 79 ++ config/yaml/tests/__init__.py | 0 config/yaml/tests/test_config.py | 12 + dffml/base.py | 6 + dffml/cli/__init__.py | 1 + dffml/{ => cli}/cli.py | 184 +--- dffml/cli/config.py | 45 + dffml/cli/dataflow.py | 382 ++++++++ dffml/config/__init__.py | 0 dffml/config/config.py | 73 ++ dffml/config/json.py | 29 + dffml/df/base.py | 217 ++++- dffml/df/exceptions.py | 4 - dffml/df/linker.py | 62 -- dffml/df/memory.py | 834 +++++++++++++----- dffml/df/multicomm.py | 149 ++++ dffml/df/types.py | 534 ++++++++++- dffml/operation/mapping.py | 28 + dffml/operation/output.py | 79 +- dffml/repo.py | 7 +- dffml/service/dev.py | 183 +++- dffml/skel/.gitignore | 2 +- dffml/skel/common/MANIFEST.in | 1 + ...{dffml_setup_common.py => setup_common.py} | 2 +- dffml/skel/config/README.md | 10 + .../REPLACE_IMPORT_PACKAGE_NAME/config.py | 31 + dffml/skel/config/setup.py | 16 + dffml/skel/config/tests/test_config.py | 12 + dffml/skel/model/setup.py | 15 +- dffml/skel/operations/setup.py | 26 +- .../skel/operations/tests/test_operations.py | 41 +- dffml/skel/service/setup.py | 15 +- dffml/skel/source/setup.py | 15 +- dffml/util/cli/cmd.py | 12 +- dffml/util/cli/cmds.py | 21 +- dffml/util/data.py | 70 ++ dffml/util/entrypoint.py | 31 +- dffml/version.py | 2 +- docs/about.rst | 12 +- docs/cli.rst | 187 ++++ ...X_2019_Down_The_Dependency_Rabbit_Hole.pdf | Bin 0 -> 1328071 bytes docs/images/GSoC_2019_Models.pdf | Bin 0 -> 3413574 bytes ...ion_and_Application_of_Neural_Networks.pdf | Bin 0 -> 548189 bytes docs/images/comments_to_code.svg | 495 +++++++++++ docs/images/shouldi-dataflow-extended.svg | 400 +++++++++ docs/images/shouldi-dataflow-processing.svg | 495 +++++++++++ docs/images/shouldi-dataflow.svg | 495 +++++++++++ docs/index.rst | 2 + docs/installation.rst | 11 + ...implementation.rst => dffml_operation.rst} | 205 ++--- docs/plugins/dffml_service_cli.rst | 23 - docs/plugins/dffml_source.rst | 54 +- docs/plugins/index.rst | 2 +- docs/publications.rst | 71 ++ docs/tutorials/index.rst | 3 +- docs/tutorials/intro.rst | 50 +- docs/tutorials/model.rst | 9 +- docs/{usage => tutorials}/operations.rst | 336 +++++-- docs/tutorials/source.rst | 64 +- docs/usage/dataflows.rst | 338 +++++++ docs/usage/index.rst | 2 +- docs/usage/integration.rst | 371 ++++---- examples/maintained/cgi-bin/api-ml.py | 56 +- examples/maintained/cgi-bin/dataflow.yaml | 302 +++++++ examples/shouldi/MANIFEST.in | 1 + examples/shouldi/setup.py | 92 +- examples/shouldi/setup_common.py | 79 ++ examples/shouldi/shouldi/bandit.py | 7 +- examples/shouldi/shouldi/cli.py | 115 ++- examples/shouldi/shouldi/definitions.py | 13 - .../shouldi/shouldi/deploy/df/shouldi.json | 205 +++++ .../shouldi/deploy/mc/http/shouldi.yaml | 3 + .../shouldi/deploy/override/shouldi.yaml | 75 ++ examples/shouldi/shouldi/pypi.py | 46 +- examples/shouldi/shouldi/safety.py | 9 +- examples/shouldi/shouldi/version.py | 2 +- examples/shouldi/tests/test_bandit.py | 17 +- examples/shouldi/tests/test_cli.py | 4 +- examples/shouldi/tests/test_pypi.py | 57 +- examples/shouldi/tests/test_safety.py | 9 +- .../dffml_feature_auth/feature/operations.py | 18 +- feature/auth/dffml_feature_auth/version.py | 2 +- feature/auth/setup.py | 26 +- feature/auth/tests/test_df.py | 28 +- .../dffml_feature_git/feature/definitions.py | 23 +- feature/git/dffml_feature_git/version.py | 2 +- feature/git/setup.py | 67 +- feature/git/tests/test_df.py | 51 +- model/scikit/dffml_model_scikit/version.py | 2 +- model/scikit/setup.py | 25 +- model/scratch/dffml_model_scratch/version.py | 2 +- model/scratch/setup.py | 2 +- .../dffml_model_tensorflow/version.py | 2 +- model/tensorflow/setup.py | 21 +- scripts/all_tests.sh | 69 ++ scripts/docs.py | 15 +- scripts/docs.sh | 2 + scripts/docs/care | 2 +- scripts/docs/templates/dffml_operation.rst | 11 + .../dffml_operation_implementation.rst | 7 - scripts/docs/templates/dffml_service_cli.rst | 23 - scripts/mermaid.json | 3 + scripts/roll_releases.sh | 23 + scripts/upload.sh | 3 + service/http/dffml_service_http/cli.py | 28 +- service/http/dffml_service_http/routes.py | 286 +++++- service/http/dffml_service_http/version.py | 2 +- service/http/docs/security.rst | 7 + service/http/setup.py | 2 +- service/http/tests/common.py | 5 +- service/http/tests/dataflow.py | 49 + service/http/tests/test_cli.py | 136 +++ service/http/tests/test_routes.py | 112 ++- service/http/tests/test_rproxy.py | 348 ++++++++ setup.py | 26 +- source/mysql/dffml_setup_common.py | 2 +- source/mysql/dffml_source_mysql/version.py | 2 +- source/mysql/setup.py | 2 +- tests/df/test_memory.py | 5 +- tests/operation/__init__.py | 0 tests/operation/test_mapping.py | 14 + tests/test_cli.py | 86 +- tests/test_df.py | 239 +++-- tests/util/test_cli.py | 6 +- tests/util/test_skel.py | 2 +- 138 files changed, 8241 insertions(+), 1643 deletions(-) create mode 100644 config/yaml/.coveragerc create mode 100644 config/yaml/.gitignore create mode 100644 config/yaml/LICENSE create mode 100644 config/yaml/MANIFEST.in create mode 100644 config/yaml/README.md create mode 100644 config/yaml/dffml_config_yaml/__init__.py create mode 100644 config/yaml/dffml_config_yaml/config.py create mode 100644 config/yaml/dffml_config_yaml/version.py create mode 100644 config/yaml/pyproject.toml create mode 100644 config/yaml/setup.py create mode 100644 config/yaml/setup_common.py create mode 100644 config/yaml/tests/__init__.py create mode 100644 config/yaml/tests/test_config.py create mode 100644 dffml/cli/__init__.py rename dffml/{ => cli}/cli.py (61%) create mode 100644 dffml/cli/config.py create mode 100644 dffml/cli/dataflow.py create mode 100644 dffml/config/__init__.py create mode 100644 dffml/config/config.py create mode 100644 dffml/config/json.py delete mode 100644 dffml/df/linker.py create mode 100644 dffml/df/multicomm.py create mode 100644 dffml/operation/mapping.py rename dffml/skel/common/{dffml_setup_common.py => setup_common.py} (99%) create mode 100644 dffml/skel/config/README.md create mode 100644 dffml/skel/config/REPLACE_IMPORT_PACKAGE_NAME/config.py create mode 100644 dffml/skel/config/setup.py create mode 100644 dffml/skel/config/tests/test_config.py create mode 100644 docs/cli.rst create mode 100644 docs/images/BSidesPDX_2019_Down_The_Dependency_Rabbit_Hole.pdf create mode 100644 docs/images/GSoC_2019_Models.pdf create mode 100644 docs/images/Theory_Operation_and_Application_of_Neural_Networks.pdf create mode 100644 docs/images/comments_to_code.svg create mode 100644 docs/images/shouldi-dataflow-extended.svg create mode 100644 docs/images/shouldi-dataflow-processing.svg create mode 100644 docs/images/shouldi-dataflow.svg rename docs/plugins/{dffml_operation_implementation.rst => dffml_operation.rst} (79%) create mode 100644 docs/publications.rst rename docs/{usage => tutorials}/operations.rst (56%) create mode 100644 docs/usage/dataflows.rst create mode 100644 examples/maintained/cgi-bin/dataflow.yaml create mode 100644 examples/shouldi/setup_common.py delete mode 100644 examples/shouldi/shouldi/definitions.py create mode 100644 examples/shouldi/shouldi/deploy/df/shouldi.json create mode 100644 examples/shouldi/shouldi/deploy/mc/http/shouldi.yaml create mode 100644 examples/shouldi/shouldi/deploy/override/shouldi.yaml create mode 100755 scripts/all_tests.sh create mode 100644 scripts/docs/templates/dffml_operation.rst delete mode 100644 scripts/docs/templates/dffml_operation_implementation.rst create mode 100644 scripts/mermaid.json create mode 100755 scripts/roll_releases.sh create mode 100755 scripts/upload.sh create mode 100644 service/http/tests/dataflow.py create mode 100644 service/http/tests/test_rproxy.py create mode 100644 tests/operation/__init__.py create mode 100644 tests/operation/test_mapping.py diff --git a/.ci/run.sh b/.ci/run.sh index 24bb668020..e6b25943d9 100755 --- a/.ci/run.sh +++ b/.ci/run.sh @@ -20,6 +20,7 @@ function run_plugin() { ./scripts/docs.sh # Try running create for real cd $(mktemp -d) + # TODO Bash array # Create model dffml service dev create model travis-test-model cd travis-test-model @@ -44,6 +45,12 @@ function run_plugin() { python setup.py install python setup.py test cd .. + # Create config + dffml service dev create config travis-test-config + cd travis-test-config + python setup.py install + python setup.py test + cd .. fi } diff --git a/.gitignore b/.gitignore index ec3e5e39fd..438833e161 100644 --- a/.gitignore +++ b/.gitignore @@ -20,4 +20,5 @@ htmlcov/ html/ pages/ examples/shouldi/response.json -docs/plugins/service/http \ No newline at end of file +docs/plugins/service/http +*pip-wheel-metadata/ diff --git a/CHANGELOG.md b/CHANGELOG.md index bb941c1c72..664ca2539c 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -4,8 +4,9 @@ All notable changes to this project will be documented in this file. The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/), and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html). -## [Unreleased] +## [0.3.0] - 2019-10-26 ### Added +- Real DataFlows, see operations tutorial and usage examples - Async helper concurrently nocancel optional keyword argument which, if set is a set of tasks not to cancel when the concurrently execution loop completes. - FileSourceTest has a `test_label` method which checks that a FileSource knows diff --git a/config/yaml/.coveragerc b/config/yaml/.coveragerc new file mode 100644 index 0000000000..a55c24a45c --- /dev/null +++ b/config/yaml/.coveragerc @@ -0,0 +1,13 @@ +[run] +source = + dffml_config_yaml + tests +branch = True + +[report] +exclude_lines = + no cov + no qa + noqa + pragma: no cover + if __name__ == .__main__.: diff --git a/config/yaml/.gitignore b/config/yaml/.gitignore new file mode 100644 index 0000000000..070ee81c83 --- /dev/null +++ b/config/yaml/.gitignore @@ -0,0 +1,20 @@ +*.log +*.pyc +.cache/ +.coverage +.idea/ +.vscode/ +*.egg-info/ +build/ +dist/ +docs/build/ +venv/ +wheelhouse/ +*.egss +.mypy_cache/ +*.swp +.venv/ +.eggs/ +*.modeldir +*.db +htmlcov/ diff --git a/config/yaml/LICENSE b/config/yaml/LICENSE new file mode 100644 index 0000000000..c45ce57355 --- /dev/null +++ b/config/yaml/LICENSE @@ -0,0 +1,21 @@ +Copyright (c) 2019 Intel Corporation + +MIT License + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/config/yaml/MANIFEST.in b/config/yaml/MANIFEST.in new file mode 100644 index 0000000000..19f3196490 --- /dev/null +++ b/config/yaml/MANIFEST.in @@ -0,0 +1,3 @@ +include README.md +include LICENSE +include setup_common.py diff --git a/config/yaml/README.md b/config/yaml/README.md new file mode 100644 index 0000000000..609c490485 --- /dev/null +++ b/config/yaml/README.md @@ -0,0 +1,10 @@ +# DFFML Config For YAML Format + +## About + +Allows for reading and writing of ``yaml`` files. + +## License + +model_name Models are distributed under the terms of the +[MIT License](LICENSE). diff --git a/config/yaml/dffml_config_yaml/__init__.py b/config/yaml/dffml_config_yaml/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/config/yaml/dffml_config_yaml/config.py b/config/yaml/dffml_config_yaml/config.py new file mode 100644 index 0000000000..ec527ee1ef --- /dev/null +++ b/config/yaml/dffml_config_yaml/config.py @@ -0,0 +1,31 @@ +""" +Description of what this config does +""" +import yaml +from typing import Dict, Any + +from dffml.util.entrypoint import entry_point +from dffml.util.cli.arg import Arg +from dffml.base import BaseConfig +from dffml.config.config import BaseConfigLoaderContext, BaseConfigLoader + + +class YamlConfigLoaderContext(BaseConfigLoaderContext): + async def loadb(self, resource: bytes) -> Dict: + return yaml.safe_load(resource.decode()) + + async def dumpb(self, resource: Dict) -> bytes: + return yaml.dump(resource, default_flow_style=False).encode() + + +@entry_point("yaml") +class YamlConfigLoader(BaseConfigLoader): + CONTEXT = YamlConfigLoaderContext + + @classmethod + def args(cls, args, *above) -> Dict[str, Arg]: + return args + + @classmethod + def config(cls, config, *above) -> BaseConfig: + return BaseConfig() diff --git a/config/yaml/dffml_config_yaml/version.py b/config/yaml/dffml_config_yaml/version.py new file mode 100644 index 0000000000..4d38941470 --- /dev/null +++ b/config/yaml/dffml_config_yaml/version.py @@ -0,0 +1 @@ +VERSION = "0.0.3" diff --git a/config/yaml/pyproject.toml b/config/yaml/pyproject.toml new file mode 100644 index 0000000000..8b9d32fa10 --- /dev/null +++ b/config/yaml/pyproject.toml @@ -0,0 +1,20 @@ +[tool.black] +line-length = 79 +target-version = ['py37'] + +exclude = ''' +( + /( + \.eggs # exclude a few common directories in the + | \.git # root of the project + | \.hg + | \.mypy_cache + | \.tox + | \.venv + | _build + | buck-out + | build + | dist + ) +) +''' diff --git a/config/yaml/setup.py b/config/yaml/setup.py new file mode 100644 index 0000000000..3121756ce6 --- /dev/null +++ b/config/yaml/setup.py @@ -0,0 +1,17 @@ +import os +import importlib.util +from setuptools import setup + +# Boilerplate to load commonalities +spec = importlib.util.spec_from_file_location( + "setup_common", os.path.join(os.path.dirname(__file__), "setup_common.py") +) +common = importlib.util.module_from_spec(spec) +spec.loader.exec_module(common) + +common.KWARGS["install_requires"] += ["PyYAML>=5.1.2"] +common.KWARGS["entry_points"] = { + "dffml.config": [f"yaml = {common.IMPORT_NAME}.config:YamlConfigLoader"] +} + +setup(**common.KWARGS) diff --git a/config/yaml/setup_common.py b/config/yaml/setup_common.py new file mode 100644 index 0000000000..30a37b618e --- /dev/null +++ b/config/yaml/setup_common.py @@ -0,0 +1,79 @@ +import os +import sys +import ast +from io import open +from pathlib import Path +from setuptools import find_packages + +ORG = "intel" +NAME = "dffml-config-yaml" +DESCRIPTION = "DFFML config dffml-config-yaml" +AUTHOR_NAME = "John Andersen" +AUTHOR_EMAIL = "john.s.andersen@intel.com" +# Install dffml if it is not installed in development mode +INSTALL_REQUIRES = [] + ( + ["dffml>=0.3.0"] + if not any( + list( + map( + os.path.isfile, + list( + map( + lambda syspath: os.path.join( + syspath, "dffml.egg-link" + ), + sys.path, + ) + ), + ) + ) + ) + else [] +) + +IMPORT_NAME = ( + NAME + if "replace_package_name".upper() != NAME + else "replace_import_package_name".upper() +).replace("-", "_") + +SELF_PATH = Path(sys.argv[0]).parent.resolve() +if not (SELF_PATH / Path(IMPORT_NAME, "version.py")).is_file(): + SELF_PATH = os.path.dirname(os.path.realpath(__file__)) + +VERSION = ast.literal_eval( + Path(SELF_PATH, IMPORT_NAME, "version.py") + .read_text() + .split("=")[-1] + .strip() +) + +README = Path(SELF_PATH, "README.md").read_text() + +KWARGS = dict( + name=NAME, + version=VERSION, + description=DESCRIPTION, + long_description=README, + long_description_content_type="text/markdown", + author=AUTHOR_NAME, + author_email=AUTHOR_EMAIL, + maintainer=AUTHOR_NAME, + maintainer_email=AUTHOR_EMAIL, + url="https://github.com/intel/dffml/blob/master/config/yaml/README.md", + license="MIT", + keywords=["dffml"], + classifiers=[ + "Development Status :: 3 - Alpha", + "Intended Audience :: Developers", + "License :: OSI Approved :: MIT License", + "Natural Language :: English", + "Operating System :: OS Independent", + "Programming Language :: Python :: 3 :: Only", + "Programming Language :: Python :: 3.7", + "Programming Language :: Python :: Implementation :: CPython", + "Programming Language :: Python :: Implementation :: PyPy", + ], + install_requires=INSTALL_REQUIRES, + packages=find_packages(), +) diff --git a/config/yaml/tests/__init__.py b/config/yaml/tests/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/config/yaml/tests/test_config.py b/config/yaml/tests/test_config.py new file mode 100644 index 0000000000..e0921fe7f6 --- /dev/null +++ b/config/yaml/tests/test_config.py @@ -0,0 +1,12 @@ +from dffml.util.asynctestcase import AsyncTestCase + +from dffml_config_yaml.config import YamlConfigLoader + + +class TestConfig(AsyncTestCase): + async def test_dumpb_loadb(self): + async with YamlConfigLoader.withconfig({}) as configloader: + async with configloader() as ctx: + original = {"Test": ["dict"]} + reloaded = await ctx.loadb(await ctx.dumpb(original)) + self.assertEqual(original, reloaded) diff --git a/dffml/base.py b/dffml/base.py index b8bbb5f8e1..47d44170cc 100644 --- a/dffml/base.py +++ b/dffml/base.py @@ -57,6 +57,12 @@ class BaseConfig(object): as their config. """ + def __repr__(self): + return "BaseConfig()" + + def __str__(self): + return repr(self) + class ConfigurableParsingNamespace(object): def __init__(self): diff --git a/dffml/cli/__init__.py b/dffml/cli/__init__.py new file mode 100644 index 0000000000..a5bd848cfa --- /dev/null +++ b/dffml/cli/__init__.py @@ -0,0 +1 @@ +from .cli import * diff --git a/dffml/cli.py b/dffml/cli/cli.py similarity index 61% rename from dffml/cli.py rename to dffml/cli/cli.py index 34104c8ac8..67420e3a9a 100644 --- a/dffml/cli.py +++ b/dffml/cli/cli.py @@ -7,43 +7,56 @@ import sys import pdb import json +import pathlib import asyncio import logging import inspect import argparse +import contextlib import pkg_resources - -from .log import LOGGER -from .version import VERSION -from .repo import Repo -from .port import Port -from .feature import Feature, Features, Data -from .source.source import BaseSource, Sources, SubsetSources -from .model import Model -from .df.types import Input -from .df.base import StringInputSetContext -from .df.memory import MemoryInputSet, MemoryInputSetConfig -from .util.cli.arg import Arg -from .util.cli.cmd import CMD -from .util.cli.cmds import ( +from typing import List + +from ..version import VERSION +from ..base import BaseConfig +from ..repo import Repo +from ..port import Port +from ..feature import Feature, Features, Data +from ..source.source import BaseSource, Sources, SubsetSources +from ..model import Model +from ..config.config import BaseConfigLoader +from ..config.json import JSONConfigLoader +from ..df.types import Input, Operation, DataFlow +from ..df.base import StringInputSetContext +from ..df.memory import MemoryInputSet, MemoryInputSetConfig +from ..util.entrypoint import load +from ..util.data import merge +from ..util.cli.arg import Arg +from ..util.cli.cmd import CMD +from ..util.cli.cmds import ( SourcesCMD, FeaturesCMD, ModelCMD, PortCMD, KeysCMD, ListEntrypoint, - OrchestratorCMD, ) +from .dataflow import Dataflow +from .config import Config + class Version(CMD): """ - Print version and exit + Print version and installed dffml packages """ async def run(self): - LOGGER.debug("Reporting version") - print(VERSION) + self.logger.debug("Reporting version") + devmode = False + for syspath in map(pathlib.Path, sys.path): + if (syspath / "dffml.egg-link").is_file(): + devmode = True + print(f"dffml version {VERSION} (devmode: {str(devmode).lower()})") class Edit(SourcesCMD, KeysCMD): @@ -174,138 +187,6 @@ async def run(self): await dctx.update(repo) -class OperationsCMD(OrchestratorCMD, SourcesCMD): - - arg_sources = SourcesCMD.arg_sources.modify(required=False) - arg_caching = Arg( - "-caching", - help="Re-run operations or use last", - required=False, - default=False, - action="store_true", - ) - arg_cacheless = Arg( - "-cacheless", - help="Do not re-run operations if these features are missing", - required=False, - default=[], - nargs="+", - ) - arg_update = Arg( - "-update", - help="Update repo with sources", - required=False, - default=False, - action="store_true", - ) - - -class OperationsAll(OperationsCMD): - """Operations all repos in sources""" - - async def repos(self, sctx): - async for repo in sctx.repos(): - yield repo - - async def run_operations(self, dff, sources): - # Orchestrate the running of these operations - async with dff() as dffctx, sources() as sctx: - # Create the inputs for the ouput operations - output_specs = [ - Input( - value=value, - definition=self.definitions[def_name], - parents=None, - ) - for value, def_name in self.output_specs - ] - - # Add our inputs to the input network with the context being the - # repo src_url - async for repo in self.repos(sctx): - inputs = [] - for value, def_name in self.inputs: - inputs.append( - Input( - value=value, - definition=self.definitions[def_name], - parents=None, - ) - ) - if self.repo_def: - inputs.append( - Input( - value=repo.src_url, - definition=self.definitions[self.repo_def], - parents=None, - ) - ) - - await dffctx.ictx.add( - MemoryInputSet( - MemoryInputSetConfig( - ctx=StringInputSetContext(repo.src_url), - inputs=inputs + output_specs, - ) - ) - ) - - async for ctx, results in dffctx.run_operations(strict=True): - ctx_str = (await ctx.handle()).as_string() - # TODO Make a RepoInputSetContext which would let us store the - # repo instead of recalling it by the URL - repo = await sctx.repo(ctx_str) - # Remap the output operations to their feature - remap = {} - for output_operation_name, sub, feature_name in self.remap: - if not output_operation_name in results: - self.logger.error( - "[%s] results do not contain %s: %s", - ctx_str, - output_operation_name, - results, - ) - continue - if not sub in results[output_operation_name]: - self.logger.error( - "[%s] %r is not in: %s", - ctx_str, - sub, - results[output_operation_name], - ) - continue - remap[feature_name] = results[output_operation_name][sub] - # Store the results - repo.evaluated(remap) - yield repo - if self.update: - await sctx.update(repo) - - async def run(self): - async with self.dff as dff, self.sources as sources: - async for repo in self.run_operations(dff, sources): - yield repo - - -class OperationsRepo(OperationsAll, KeysCMD): - """Operations features on individual repos""" - - async def repos(self, sctx): - for src_url in self.keys: - yield await sctx.repo(src_url) - - def __init__(self, *args, **kwargs): - super().__init__(*args, **kwargs) - self.sources = SubsetSources(*self.sources, keys=self.keys) - - -class Operations(CMD): - """Run operations for repos""" - - repo = OperationsRepo - _all = OperationsAll - - class EvaluateCMD(FeaturesCMD, SourcesCMD): arg_sources = SourcesCMD.arg_sources.modify(required=False) @@ -489,7 +370,8 @@ class CLI(CMD): train = Train accuracy = Accuracy predict = Predict - operations = Operations evaluate = Evaluate service = services() applicable = Applicable + dataflow = Dataflow + config = Config diff --git a/dffml/cli/config.py b/dffml/cli/config.py new file mode 100644 index 0000000000..038e360484 --- /dev/null +++ b/dffml/cli/config.py @@ -0,0 +1,45 @@ +import sys +import pathlib + +from ..config.config import BaseConfigLoader +from ..config.json import JSONConfigLoader +from ..util.cli.cmd import CMD +from ..util.cli.cmd import Arg + + +class Convert(CMD): + + arg_original = Arg("original", help="Config to convert") + arg_config_in = Arg( + "-config-in", + dest="config_in", + help="ConfigLoader to use for importing", + type=BaseConfigLoader.load, + default=None, + ) + arg_config_out = Arg( + "-config-out", + dest="config_out", + help="ConfigLoader to use for exporting", + type=BaseConfigLoader.load, + default=JSONConfigLoader, + ) + + async def run(self): + original_path = pathlib.Path(self.original) + config_out = self.config_out.withconfig(self.extra_config) + # Load input configloader + config_in = self.config_in + if config_in is None: + config_type = original_path.suffix.replace(".", "") + config_in = BaseConfigLoader.load(config_type) + config_in = config_in.withconfig(self.extra_config) + async with config_in as cl_in, config_out as cl_out: + async with cl_in() as loader_in, cl_out() as loader_out: + imported = await loader_in.loadb(original_path.read_bytes()) + sys.stdout.buffer.write(await loader_out.dumpb(imported)) + + +class Config(CMD): + + convert = Convert diff --git a/dffml/cli/dataflow.py b/dffml/cli/dataflow.py new file mode 100644 index 0000000000..c8bed9d159 --- /dev/null +++ b/dffml/cli/dataflow.py @@ -0,0 +1,382 @@ +import sys +import pathlib +import hashlib +import contextlib + +from ..base import BaseConfig +from ..df.types import DataFlow, Stage, Operation, Input +from ..df.memory import ( + MemoryInputSet, + MemoryInputSetConfig, + StringInputSetContext, +) +from ..config.config import BaseConfigLoader +from ..config.json import JSONConfigLoader +from ..source.source import SubsetSources +from ..util.data import merge +from ..util.entrypoint import load +from ..util.cli.arg import Arg +from ..util.cli.cmd import CMD +from ..util.cli.cmds import SourcesCMD, KeysCMD, OrchestratorCMD + + +class Merge(CMD): + arg_dataflows = Arg( + "dataflows", help="DataFlows to merge", nargs="+", type=pathlib.Path + ) + arg_config = Arg( + "-config", + help="ConfigLoader to use for exporting", + type=BaseConfigLoader.load, + default=JSONConfigLoader, + ) + arg_not_linked = Arg( + "-not-linked", + dest="not_linked", + help="Do not export dataflows as linked", + default=False, + action="store_true", + ) + + async def run(self): + # The merged dataflow + merged: Dict[str, Any] = {} + # For entering ConfigLoader contexts + async with contextlib.AsyncExitStack() as exit_stack: + # Load config loaders we'll need as we see their file types + parsers: Dict[str, BaseConfigLoader] = {} + for path in self.dataflows: + _, exported = await BaseConfigLoader.load_file( + parsers, exit_stack, path + ) + merge(merged, exported) + # Export the dataflow + dataflow = DataFlow._fromdict(**merged) + async with self.config(BaseConfig()) as configloader: + async with configloader() as loader: + exported = dataflow.export(linked=not self.not_linked) + print((await loader.dumpb(exported)).decode()) + + +class Create(CMD): + arg_operations = Arg( + "operations", nargs="+", help="Operations to create a dataflow for" + ) + arg_config = Arg( + "-config", + help="ConfigLoader to use", + type=BaseConfigLoader.load, + default=JSONConfigLoader, + ) + arg_not_linked = Arg( + "-not-linked", + dest="not_linked", + help="Do not export dataflows as linked", + default=False, + action="store_true", + ) + + async def run(self): + operations = [] + for load_operation in self.operations: + if ":" in load_operation: + operations += list(load(load_operation)) + else: + operations += [Operation.load(load_operation)] + async with self.config(BaseConfig()) as configloader: + async with configloader() as loader: + dataflow = DataFlow.auto(*operations) + exported = dataflow.export(linked=not self.not_linked) + print((await loader.dumpb(exported)).decode()) + + +class RunCMD(OrchestratorCMD, SourcesCMD): + + arg_sources = SourcesCMD.arg_sources.modify(required=False) + arg_caching = Arg( + "-caching", + help="Skip running DataFlow if a repo already contains these features", + nargs="+", + required=False, + default=[], + ) + arg_no_update = Arg( + "-no-update", + help="Update repo with sources", + required=False, + default=False, + action="store_true", + ) + arg_no_strict = Arg( + "-no-strict", + help="Do not exit on operation exceptions, just log errors", + dest="no_strict", + required=False, + default=False, + action="store_true", + ) + arg_dataflow = Arg( + "-dataflow", help="File containing exported DataFlow", required=True + ) + arg_config = Arg( + "-config", + help="ConfigLoader to use for importing DataFlow", + type=BaseConfigLoader.load, + default=None, + ) + + +class RunAllRepos(RunCMD): + """Run dataflow for all repos in sources""" + + async def repos(self, sctx): + """ + This method exists so that it can be overriden by RunRepoSet + """ + async for repo in sctx.repos(): + yield repo + + async def run_dataflow(self, orchestrator, sources, dataflow): + # Orchestrate the running of these operations + async with orchestrator(dataflow) as octx, sources() as sctx: + # Add our inputs to the input network with the context being the + # repo src_url + inputs = [] + async for repo in self.repos(sctx): + # Skip running DataFlow if repo already has features + existing_features = repo.features() + if self.caching and all( + map( + lambda cached: cached in existing_features, + self.caching, + ) + ): + continue + + repo_inputs = [] + for value, def_name in self.inputs: + repo_inputs.append( + Input( + value=value, + definition=dataflow.definitions[def_name], + ) + ) + if self.repo_def: + repo_inputs.append( + Input( + value=repo.src_url, + definition=dataflow.definitions[self.repo_def], + ) + ) + + # TODO(p1) When OrchestratorContext is fixed to accept an + # asyncgenerator we won't have to build a list + inputs.append( + MemoryInputSet( + MemoryInputSetConfig( + ctx=StringInputSetContext(repo.src_url), + inputs=repo_inputs, + ) + ) + ) + + if not inputs: + return + + async for ctx, results in octx.run( + *inputs, strict=not self.no_strict + ): + ctx_str = (await ctx.handle()).as_string() + # TODO(p4) Make a RepoInputSetContext which would let us + # store the repo instead of recalling it by the URL + repo = await sctx.repo(ctx_str) + # Store the results + repo.evaluated(results) + yield repo + if not self.no_update: + await sctx.update(repo) + + async def run(self): + dataflow_path = pathlib.Path(self.dataflow) + config_cls = self.config + if config_cls is None: + config_type = dataflow_path.suffix.replace(".", "") + config_cls = BaseConfigLoader.load(config_type) + async with config_cls.withconfig(self.extra_config) as configloader: + async with configloader() as loader: + exported = await loader.loadb(dataflow_path.read_bytes()) + dataflow = DataFlow._fromdict(**exported) + async with self.orchestrator as orchestrator, self.sources as sources: + async for repo in self.run_dataflow( + orchestrator, sources, dataflow + ): + yield repo + + +class RunRepoSet(RunAllRepos, KeysCMD): + """Run dataflow for single repo or set of repos""" + + async def repos(self, sctx): + for src_url in self.keys: + yield await sctx.repo(src_url) + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + self.sources = SubsetSources(*self.sources, keys=self.keys) + + +class RunRepos(CMD): + """Run DataFlow and assign output to a repo""" + + _set = RunRepoSet + _all = RunAllRepos + + +class Run(CMD): + """Run dataflow""" + + repos = RunRepos + + +class Diagram(CMD): + + arg_stages = Arg( + "-stages", + help="Which stages to display: (processing, cleanup, output)", + nargs="+", + default=[], + required=False, + ) + arg_simple = Arg( + "-simple", + help="Don't display input and output names", + default=False, + action="store_true", + required=False, + ) + arg_display = Arg( + "-display", + help="How to display (TD: top down, LR, RL, BT)", + default="TD", + required=False, + ) + arg_dataflow = Arg("dataflow", help="File containing exported DataFlow") + arg_config = Arg( + "-config", + help="ConfigLoader to use for importing", + type=BaseConfigLoader.load, + default=None, + ) + + async def run(self): + dataflow_path = pathlib.Path(self.dataflow) + config_cls = self.config + if config_cls is None: + config_type = dataflow_path.suffix.replace(".", "") + config_cls = BaseConfigLoader.load(config_type) + async with config_cls.withconfig(self.extra_config) as configloader: + async with configloader() as loader: + exported = await loader.loadb(dataflow_path.read_bytes()) + dataflow = DataFlow._fromdict(**exported) + print(f"graph {self.display}") + for stage in Stage: + # Skip stage if not wanted + if self.stages and stage.value not in self.stages: + continue + stage_node = hashlib.md5( + ("stage." + stage.value).encode() + ).hexdigest() + if len(self.stages) != 1: + print(f"subgraph {stage_node}[{stage.value.title()} Stage]") + print(f"style {stage_node} fill:#afd388b5,stroke:#a4ca7a") + for instance_name, operation in dataflow.operations.items(): + if operation.stage != stage: + continue + subgraph_node = hashlib.md5( + ("subgraph." + instance_name).encode() + ).hexdigest() + node = hashlib.md5(instance_name.encode()).hexdigest() + if not self.simple: + print(f"subgraph {subgraph_node}[{instance_name}]") + print(f"style {subgraph_node} fill:#fff4de,stroke:#cece71") + print(f"{node}[{operation.instance_name}]") + for input_name in operation.inputs.keys(): + input_node = hashlib.md5( + ("input." + instance_name + "." + input_name).encode() + ).hexdigest() + if not self.simple: + print(f"{input_node}({input_name})") + print(f"{input_node} --> {node}") + for output_name in operation.outputs.keys(): + output_node = hashlib.md5( + ( + "output." + instance_name + "." + output_name + ).encode() + ).hexdigest() + if not self.simple: + print(f"{output_node}({output_name})") + print(f"{node} --> {output_node}") + if not self.simple: + print(f"end") + if len(self.stages) != 1: + print(f"end") + if len(self.stages) != 1: + print(f"subgraph inputs[Inputs]") + print(f"style inputs fill:#f6dbf9,stroke:#a178ca") + for instance_name, input_flow in dataflow.flow.items(): + operation = dataflow.operations[instance_name] + if self.stages and not operation.stage.value in self.stages: + continue + node = hashlib.md5(instance_name.encode()).hexdigest() + for input_name, sources in input_flow.inputs.items(): + for source in sources: + # TODO Put various sources in their own "Inputs" subgraphs + if isinstance(source, str): + input_definition = operation.inputs[input_name] + seed_input_node = hashlib.md5( + (source + "." + input_definition.name).encode() + ).hexdigest() + print(f"{seed_input_node}({input_definition.name})") + if len(self.stages) == 1: + print( + f"style {seed_input_node} fill:#f6dbf9,stroke:#a178ca" + ) + if not self.simple: + input_node = hashlib.md5( + ( + "input." + instance_name + "." + input_name + ).encode() + ).hexdigest() + print(f"{seed_input_node} --> {input_node}") + else: + print(f"{seed_input_node} --> {node}") + else: + if not self.simple: + source_output_node = hashlib.md5( + ( + "output." + + ".".join(list(source.items())[0]) + ).encode() + ).hexdigest() + input_node = hashlib.md5( + ( + "input." + instance_name + "." + input_name + ).encode() + ).hexdigest() + print(f"{source_output_node} --> {input_node}") + else: + source_operation_node = hashlib.md5( + list(source.keys())[0].encode() + ).hexdigest() + print(f"{source_operation_node} --> {node}") + if len(self.stages) != 1: + print(f"end") + + +# Name collision +class Dataflow(CMD): + + merge = Merge + create = Create + run = Run + diagram = Diagram diff --git a/dffml/config/__init__.py b/dffml/config/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/dffml/config/config.py b/dffml/config/config.py new file mode 100644 index 0000000000..818eb1d253 --- /dev/null +++ b/dffml/config/config.py @@ -0,0 +1,73 @@ +import abc +import pathlib +import contextlib +from typing import Dict, Any, Optional + +from ..util.entrypoint import base_entry_point +from ..base import ( + BaseConfig, + BaseDataFlowFacilitatorObjectContext, + BaseDataFlowFacilitatorObject, +) + + +class BaseConfigLoaderContext(BaseDataFlowFacilitatorObjectContext): + def __init__(self, parent: "BaseConfigLoader") -> None: + super().__init__() + self.parent = parent + + @abc.abstractmethod + async def loadb(self, resource: bytes) -> Dict: + """ + ConfigLoaders need to be able to return the dict representation of the + resources they are asked to load. + """ + + @abc.abstractmethod + async def dumpb(self, resource: Dict) -> bytes: + """ + ConfigLoaders need to be serialize a dict representation of the + resources they are asked to dump. + """ + + +@base_entry_point("dffml.config", "config") +class BaseConfigLoader(BaseDataFlowFacilitatorObject): + def __call__(self) -> BaseConfigLoaderContext: + return self.CONTEXT(self) + + @classmethod + async def load_file( + cls, + parsers: Dict[str, "BaseConfigLoader"], + exit_stack: contextlib.AsyncExitStack, + path: pathlib.Path, + *, + base_dir: Optional[pathlib.Path] = None, + ) -> Dict: + """ + Load one file and load the ConfigLoader for it if necessary, using the + AsyncExitStack provided. + """ + filetype = path.suffix.replace(".", "") + # Load the parser for the filetype if it isn't already loaded + if not filetype in parsers: + # TODO Get configs for loaders from somewhere, probably the + # config of the multicomm + loader_cls = cls.load(filetype) + loader = await exit_stack.enter_async_context( + loader_cls(BaseConfig()) + ) + parsers[filetype] = await exit_stack.enter_async_context(loader()) + # The config will be stored by its unique filepath split on dirs + config_path = list( + path.parts[len(base_dir.parts) :] + if base_dir is not None + else path.parts + ) + # Get rid of suffix for last member of path + if config_path: + config_path[-1] = path.stem + config_path = tuple(config_path) + # Load the file + return config_path, await parsers[filetype].loadb(path.read_bytes()) diff --git a/dffml/config/json.py b/dffml/config/json.py new file mode 100644 index 0000000000..fbc6e0b589 --- /dev/null +++ b/dffml/config/json.py @@ -0,0 +1,29 @@ +import json +import pathlib +from typing import Dict, Any + +from ..util.entrypoint import entry_point +from ..util.cli.arg import Arg +from ..base import BaseConfig +from .config import BaseConfigLoaderContext, BaseConfigLoader + + +class JSONConfigLoaderContext(BaseConfigLoaderContext): + async def loadb(self, resource: bytes) -> Dict: + return json.loads(resource.decode()) + + async def dumpb(self, resource: Dict) -> bytes: + return json.dumps(resource, sort_keys=True, indent=4).encode() + + +@entry_point("json") +class JSONConfigLoader(BaseConfigLoader): + CONTEXT = JSONConfigLoaderContext + + @classmethod + def args(cls, args, *above) -> Dict[str, Arg]: + return args + + @classmethod + def config(cls, config, *above) -> BaseConfig: + return BaseConfig() diff --git a/dffml/df/base.py b/dffml/df/base.py index 10ac59c75a..40d000a587 100644 --- a/dffml/df/base.py +++ b/dffml/df/base.py @@ -32,11 +32,14 @@ class BaseDataFlowObjectContext(BaseDataFlowFacilitatorObjectContext): """ - Data Flow Object Contexts are instantiated by only being passed their - parent, a BaseDataFlowObject. + Data Flow Object Contexts are instantiated by being passed their + config, and their parent, a BaseDataFlowObject. """ - def __init__(self, parent: "BaseDataFlowObject") -> None: + def __init__( + self, config: BaseConfig, parent: "BaseDataFlowObject" + ) -> None: + self.config = config self.parent = parent @@ -46,9 +49,6 @@ class BaseDataFlowObject(BaseDataFlowFacilitatorObject): argument to the child's __init__ (of type BaseDataFlowObjectContext). """ - def __call__(self) -> BaseDataFlowObjectContext: - return self.CONTEXT(self) - @classmethod def args(cls, args, *above) -> Dict[str, Arg]: return args @@ -63,11 +63,18 @@ def __init__( self, parent: "OperationImplementation", ctx: "BaseInputSetContext", - ictx: "BaseInputNetworkContext", + octx: "BaseOrchestratorContext", ) -> None: self.parent = parent self.ctx = ctx - self.ictx = ictx + self.octx = octx + + @property + def config(self): + """ + Alias for self.parent.config + """ + return self.parent.config @abc.abstractmethod async def run(self, inputs: Dict[str, Any]) -> Union[bool, Dict[str, Any]]: @@ -78,7 +85,14 @@ async def run(self, inputs: Dict[str, Any]) -> Union[bool, Dict[str, Any]]: """ -@base_entry_point("dffml.operation.implementation", "opimp") +class FailedToLoadOperationImplementation(Exception): + """ + Raised when an OperationImplementation wasn't found to be registered with + the dffml.operation entrypoint. + """ + + +@base_entry_point("dffml.operation", "opimp") class OperationImplementation(BaseDataFlowObject): def __init__(self, config: "BaseConfig") -> None: super().__init__(config) @@ -89,9 +103,9 @@ def __init__(self, config: "BaseConfig") -> None: ) def __call__( - self, ctx: "BaseInputSetContext", ictx: "BaseInputNetworkContext" + self, ctx: "BaseInputSetContext", octx: "BaseOrchestratorContext" ) -> OperationImplementationContext: - return self.CONTEXT(self, ctx, ictx) + return self.CONTEXT(self, ctx, octx) @classmethod def add_orig_label(cls, *above): @@ -101,8 +115,61 @@ def add_orig_label(cls, *above): def add_label(cls, *above): return list(above) + cls.op.name.split("_") + @classmethod + def _imp(cls, loaded): + """ + Returns the operation implemention from a loaded entrypoint object, or + None if its not an operation implemention or doesn't have the imp + parameter which is an operation implemention. + """ + for obj in [loaded, getattr(loaded, "imp", None)]: + if inspect.isclass(obj) and issubclass(obj, cls): + return obj + return None + + @classmethod + def load(cls, loading=None): + loading_classes = [] + # Load operations + for i in pkg_resources.iter_entry_points(cls.ENTRY_POINT): + if loading is not None and i.name == loading: + loaded = cls._imp(i.load()) + if loaded is not None: + return loaded + elif loading is None: + loaded = cls._imp(i.load()) + if loaded is not None: + loading_classes.append(loaded) + if loading is not None: + raise FailedToLoadOperationImplementation( + "%s was not found in (%s)" + % ( + repr(loading), + ", ".join(list(map(lambda op: op.name, loading_classes))), + ) + ) + return loading_classes + + +def op(imp_enter=None, ctx_enter=None, config_cls=None, **kwargs): + """ + The ``op`` decorator creates a subclass of + :py:class:`dffml.df.OperationImplementation` and assigns that + ``OperationImplementation`` to the ``.imp`` parameter of the + function it decorates. + + If the decorated object is not already a class which is a subclass of + ``OperationImplementationContext``, it creates an + :py:class:`dffml.df.OperationImplementationContext` + and assigns it to the ``CONTEXT`` class parameter of the + ``OperationImplementation`` which was created. + + Upon context entry into the ``OperationImplementation``, imp_enter is + iterated over and the values in that ``dict`` are entered. The value yielded + upon entry is assigned to a parameter in the ``OperationImplementation`` + instance named after the respective key. + """ -def op(imp_enter=None, ctx_enter=None, **kwargs): def wrap(func): if not "name" in kwargs: kwargs["name"] = func.__name__ @@ -111,19 +178,57 @@ def wrap(func): kwargs["conditions"] = [] func.op = Operation(**kwargs) + cls_name = func.op.name.replace("_", " ").title().replace(" ", "") + + sig = inspect.signature(func) + # Check if the function uses the operation implementation context + uses_self = bool( + imp_enter is not None + or ctx_enter is not None + or ( + [ + name + for name, param in sig.parameters.items() + if param.annotation is OperationImplementationContext + ] + ) + ) + # Check if the function uses the operation implementation config + uses_config = None + if config_cls is not None: + for name, param in sig.parameters.items(): + if param.annotation is config_cls: + uses_config = name + + # Create the test method which creates the contexts and runs + async def test(**kwargs): + async with func.imp(BaseConfig()) as obj: + async with obj(None, None) as ctx: + return await ctx.run(kwargs) + + func.test = test + + class Implementation( + context_stacker(OperationImplementation, imp_enter) + ): + def __init__(self, config): + if config_cls is not None and isinstance(config, dict): + if getattr(config_cls, "_fromdict", None) is not None: + # Use _fromdict method if it exists + config = config_cls._fromdict(**config) + else: + # Otherwise expand if existing config is a dict + config = config_cls(**config) + super().__init__(config) if inspect.isclass(func) and issubclass( func, OperationImplementationContext ): - - class Implementation( - context_stacker(OperationImplementation, imp_enter) - ): - - op = func.op - CONTEXT = func - - func.imp = Implementation + func.imp = type( + f"{cls_name}Implementation", + (Implementation,), + {"op": func.op, "CONTEXT": func}, + ) return func else: @@ -133,24 +238,36 @@ class ImplementationContext( async def run( self, inputs: Dict[str, Any] ) -> Union[bool, Dict[str, Any]]: - # TODO Add auto thread pooling of non-async functions + # Add config to inputs if it's used by the function + if uses_config is not None: + inputs[uses_config] = self.parent.config # If imp_enter or ctx_enter exist then bind the function to # the ImplementationContext so that it has access to the # context and it's parent - if imp_enter is not None or ctx_enter is not None: + if uses_self: + # We can't pass self to functions running in threads + # Its not thread safe! return await ( func.__get__(self, self.__class__)(**inputs) ) - return await func(**inputs) - - class Implementation( - context_stacker(OperationImplementation, imp_enter) - ): - - op = func.op - CONTEXT = ImplementationContext - - func.imp = Implementation + elif inspect.iscoroutinefunction(func): + return await func(**inputs) + else: + # TODO Add auto thread pooling of non-async functions + return func(**inputs) + + func.imp = type( + f"{cls_name}Implementation", + (Implementation,), + { + "op": func.op, + "CONTEXT": type( + f"{cls_name}ImplementationContext", + (ImplementationContext,), + {}, + ), + }, + ) return func return wrap @@ -269,9 +386,6 @@ class BaseKeyValueStoreContext(BaseDataFlowObjectContext): Abstract Base Class for key value storage context """ - def __init__(self, parent: "BaseKeyValueStore") -> None: - self.parent = parent - @abc.abstractmethod async def get(self, key: str) -> Union[bytes, None]: """ @@ -337,6 +451,12 @@ def __init__(self, config: BaseInputSetConfig) -> None: self.ctx = config.ctx self.logger = LOGGER.getChild(self.__class__.__qualname__) + @abc.abstractmethod + async def add(self, item: Input) -> None: + """ + Add an input to the input set. + """ + @abc.abstractmethod async def definitions(self) -> Set[Definition]: pass @@ -384,9 +504,12 @@ async def _asdict(self) -> Dict[str, Any]: class BaseDefinitionSetContext(BaseDataFlowObjectContext): def __init__( - self, parent: "BaseInputNetworkContext", ctx: "BaseInputSetContext" + self, + config: BaseConfig, + parent: "BaseInputNetworkContext", + ctx: "BaseInputSetContext", ) -> None: - super().__init__(parent) + super().__init__(config, parent) self.ctx = ctx @abc.abstractmethod @@ -458,6 +581,22 @@ class BaseInputNetwork(BaseDataFlowObject): """ +class OperationImplementationNotInstantiable(Exception): + """ + OperationImplementation cannot be instantiated and is required to continue. + """ + + +class OperationImplementationNotInstantiated(Exception): + """ + OperationImplementation is instantiable, but is not has not been + instantiated within the network and was required to continue. + + Attempted to run operation which could be instantiated, but has not yet + been. + """ + + class BaseOperationNetworkContext(BaseDataFlowObjectContext): """ Abstract Base Class for context managing operations @@ -637,6 +776,6 @@ async def run_operations( """ -@base_entry_point("dffml.orchestrator", "dff") +@base_entry_point("dffml.orchestrator", "orchestrator") class BaseOrchestrator(BaseDataFlowObject): pass # pragma: no cov diff --git a/dffml/df/exceptions.py b/dffml/df/exceptions.py index 878f3879a8..c0cc989a3a 100644 --- a/dffml/df/exceptions.py +++ b/dffml/df/exceptions.py @@ -2,10 +2,6 @@ class OperationAlreadyPresent(Exception): pass -class OperationNotInNetwork(Exception): - pass - - class ContextNotPresent(Exception): pass diff --git a/dffml/df/linker.py b/dffml/df/linker.py deleted file mode 100644 index fe858773ee..0000000000 --- a/dffml/df/linker.py +++ /dev/null @@ -1,62 +0,0 @@ -import inspect -import itertools - -from .types import Definition, Operation, Output - - -class Linker(object): - def resolve(self, source: dict): - definitions = {} - operations = {} - outputs = {} - for name, kwargs in source.get("definitions", {}).items(): - definitions[name] = Definition(name=name, **kwargs) - sig = inspect.signature(Operation) - for name, kwargs in source.get("operations", {}).items(): - for arg, parameter in sig.parameters.items(): - if ( - arg != "name" - and not arg in kwargs - and parameter.default == inspect.Parameter.empty - ): - # From 3.7/Lib/typing.py: - # "For internal bookkeeping of generic types __origin__ - # keeps a reference to a type that was subscripted." - kwargs[arg] = parameter.annotation.__origin__() - # Replaces strings referencing definitions with definitions - for arg in ["conditions"]: - try: - kwargs[arg] = [definitions[i] for i in kwargs[arg]] - except KeyError as error: - raise KeyError( - "Definition missing while resolving %s.%s" - % (name, arg) - ) from error - for arg in ["inputs", "outputs"]: - try: - kwargs[arg] = { - i: definitions[kwargs[arg][i]] for i in kwargs[arg] - } - except KeyError as error: - raise KeyError( - "Definition missing while resolving %s.%s" - % (name, arg) - ) from error - operations[name] = Operation(name=name, **kwargs) - return definitions, operations, outputs - - def export(self, *args): - exported = {"definitions": {}, "operations": {}} - for operation in args: - exported["operations"][operation.name] = operation.export() - exported["definitions"].update( - { - definition.name: definition.export() - for definition in itertools.chain( - operation.inputs.values(), - operation.outputs.values(), - operation.conditions, - ) - } - ) - return exported diff --git a/dffml/df/memory.py b/dffml/df/memory.py index 20ab9b1dcb..e0b67a5a1c 100644 --- a/dffml/df/memory.py +++ b/dffml/df/memory.py @@ -1,9 +1,12 @@ import io import asyncio +import secrets import hashlib +import inspect import itertools +import traceback from datetime import datetime -from itertools import product +from itertools import product, chain from contextlib import asynccontextmanager, AsyncExitStack from typing import ( AsyncIterator, @@ -18,9 +21,12 @@ ) from .exceptions import ContextNotPresent, DefinitionNotInContext -from .types import Input, Parameter, Definition, Operation, Stage +from .types import Input, Parameter, Definition, Operation, Stage, DataFlow from .base import ( OperationImplementation, + FailedToLoadOperationImplementation, + BaseDataFlowObject, + BaseDataFlowObjectContext, BaseConfig, BaseContextHandle, BaseKeyValueStoreContext, @@ -39,6 +45,8 @@ BaseRedundancyChecker, BaseLockNetworkContext, BaseLockNetwork, + OperationImplementationNotInstantiated, + OperationImplementationNotInstantiable, BaseOperationImplementationNetworkContext, BaseOperationImplementationNetwork, BaseOrchestratorConfig, @@ -46,38 +54,53 @@ BaseOrchestrator, ) -from ..util.entrypoint import entry_point +from ..util.entrypoint import entry_point, EntrypointNotFound from ..util.cli.arg import Arg from ..util.cli.cmd import CMD -from ..util.data import ignore_args +from ..util.data import ignore_args, traverse_get from ..util.asynchelper import context_stacker, aenter_stack from .log import LOGGER +class MemoryDataFlowObjectContextConfig(NamedTuple): + # Unique ID of the context, in other implementations this might be a JWT or + # something + uid: str + + +class BaseMemoryDataFlowObject(BaseDataFlowObject): + def __call__(self) -> BaseDataFlowObjectContext: + return self.CONTEXT( + MemoryDataFlowObjectContextConfig(uid=secrets.token_hex()), self + ) + + class MemoryKeyValueStoreContext(BaseKeyValueStoreContext): + def __init__( + self, config: BaseConfig, parent: "MemoryKeyValueStore" + ) -> None: + super().__init__(config, parent) + self.memory: Dict[str, bytes] = {} + self.lock = asyncio.Lock() + async def get(self, key: str) -> Union[bytes, None]: - async with self.parent.lock: - return self.parent.memory.get(key) + async with self.lock: + return self.memory.get(key) async def set(self, key: str, value: bytes): - async with self.parent.lock: - self.parent.memory[key] = value + async with self.lock: + self.memory[key] = value @entry_point("memory") -class MemoryKeyValueStore(BaseKeyValueStore): +class MemoryKeyValueStore(BaseKeyValueStore, BaseMemoryDataFlowObject): """ Key Value store backed by dict """ CONTEXT = MemoryKeyValueStoreContext - def __init__(self, config: BaseConfig) -> None: - super().__init__(config) - self.memory: Dict[str, bytes] = {} - self.lock = asyncio.Lock() - class MemoryInputSetConfig(NamedTuple): ctx: BaseInputSetContext @@ -89,6 +112,9 @@ def __init__(self, config: MemoryInputSetConfig) -> None: super().__init__(config) self.__inputs = config.inputs + async def add(self, item: Input) -> None: + self.__inputs.append(item) + async def definitions(self) -> Set[Definition]: return set(map(lambda item: item.definition, self.__inputs)) @@ -181,6 +207,7 @@ def __call__(self) -> NotificationSetContext: class MemoryInputNetworkContextEntry(NamedTuple): ctx: BaseInputSetContext definitions: Dict[Definition, List[Input]] + by_origin: Dict[Union[str, Tuple[str, str]], List[Input]] class MemoryDefinitionSetContext(BaseDefinitionSetContext): @@ -197,46 +224,66 @@ async def inputs(self, definition: Definition) -> AsyncIterator[Input]: class MemoryInputNetworkContext(BaseInputNetworkContext): + def __init__( + self, config: BaseConfig, parent: "MemoryInputNetwork" + ) -> None: + super().__init__(config, parent) + self.ctx_notification_set = NotificationSet() + self.input_notification_set = {} + # Organize by context handle string then by definition within that + self.ctxhd: Dict[str, Dict[Definition, Any]] = {} + # TODO Create ctxhd_locks dict to manage a per context lock + self.ctxhd_lock = asyncio.Lock() + async def add(self, input_set: BaseInputSet): # Grab the input set context handle handle = await input_set.ctx.handle() handle_string = handle.as_string() + # TODO These ctx.add calls should probably happen after inputs are in + # self.ctxhd # If the context for this input set does not exist create a # NotificationSet for it to notify the orchestrator - if not handle_string in self.parent.input_notification_set: - self.parent.input_notification_set[ - handle_string - ] = NotificationSet() - async with self.parent.ctx_notification_set() as ctx: + if not handle_string in self.input_notification_set: + self.input_notification_set[handle_string] = NotificationSet() + async with self.ctx_notification_set() as ctx: await ctx.add(input_set.ctx, []) # Add the input set to the incoming inputs - async with self.parent.input_notification_set[handle_string]() as ctx: + async with self.input_notification_set[handle_string]() as ctx: await ctx.add( input_set, [item async for item in input_set.inputs()] ) # Associate inputs with their context handle grouped by definition - async with self.parent.ctxhd_lock: + async with self.ctxhd_lock: # Create dict for handle_string if not present - if not handle_string in self.parent.ctxhd: - self.parent.ctxhd[ - handle_string - ] = MemoryInputNetworkContextEntry( - ctx=input_set.ctx, definitions={} + if not handle_string in self.ctxhd: + self.ctxhd[handle_string] = MemoryInputNetworkContextEntry( + ctx=input_set.ctx, definitions={}, by_origin={} ) # Go through each item in the input set async for item in input_set.inputs(): # Create set for item definition if not present if ( not item.definition - in self.parent.ctxhd[handle_string].definitions + in self.ctxhd[handle_string].definitions ): - self.parent.ctxhd[handle_string].definitions[ - item.definition - ] = [] + self.ctxhd[handle_string].definitions[item.definition] = [] # Add input to by defintion set - self.parent.ctxhd[handle_string].definitions[ - item.definition - ].append(item) + self.ctxhd[handle_string].definitions[item.definition].append( + item + ) + # Create set for item origin if not present + if not item.origin in self.ctxhd[handle_string].by_origin: + self.ctxhd[handle_string].by_origin[item.origin] = [] + # Add input to by origin set + self.ctxhd[handle_string].by_origin[item.origin].append(item) + + async def uadd(self, *args: Input): + """ + Shorthand for creating a MemoryInputSet with a StringInputSetContext + containing a random value for the string. + """ + # TODO(security) Allow for tuning nbytes + return await self.sadd(secrets.token_hex(), *args) async def sadd(self, context_handle_string, *args: Input): """ @@ -251,17 +298,32 @@ async def sadd(self, context_handle_string, *args: Input): ... ) ... ) """ + ctx = StringInputSetContext(context_handle_string) await self.add( - MemoryInputSet( - MemoryInputSetConfig( - ctx=StringInputSetContext(context_handle_string), - inputs=list(args), - ) - ) + MemoryInputSet(MemoryInputSetConfig(ctx=ctx, inputs=list(args))) ) + return ctx + + async def cadd(self, ctx, *args: Input): + """ + Shorthand for creating a MemoryInputSet with an existing context. + + >>> await octx.ictx.add( + ... MemoryInputSet( + ... MemoryInputSetConfig( + ... ctx=ctx, + ... inputs=list(args), + ... ) + ... ) + ... ) + """ + await self.add( + MemoryInputSet(MemoryInputSetConfig(ctx=ctx, inputs=list(args))) + ) + return ctx async def ctx(self) -> Tuple[bool, BaseInputSetContext]: - async with self.parent.ctx_notification_set() as ctx: + async with self.ctx_notification_set() as ctx: return await ctx.added() async def added( @@ -270,7 +332,7 @@ async def added( # Grab the input set context handle handle_string = (await watch_ctx.handle()).as_string() # Notify whatever is listening for new inputs in this context - async with self.parent.input_notification_set[handle_string]() as ctx: + async with self.input_notification_set[handle_string]() as ctx: """ return await ctx.added() """ @@ -285,17 +347,17 @@ async def added( async def definition( self, ctx: BaseInputSetContext, definition: str ) -> Definition: - async with self.parent.ctxhd_lock: + async with self.ctxhd_lock: # Grab the input set context handle handle_string = (await ctx.handle()).as_string() # Ensure that the handle_string is present in ctxhd - if not handle_string in self.parent.ctxhd: + if not handle_string in self.ctxhd: raise ContextNotPresent(handle_string) # Search through the definitions to find one with a matching name found = list( filter( lambda check: check.name == definition, - self.parent.ctxhd[handle_string].definitions, + self.ctxhd[handle_string].definitions, ) ) # Raise an error if the definition was not found in given context @@ -309,62 +371,122 @@ async def definition( def definitions( self, ctx: BaseInputSetContext ) -> BaseDefinitionSetContext: - return MemoryDefinitionSetContext(self.parent, ctx) + return MemoryDefinitionSetContext(self.config, self, ctx) async def gather_inputs( self, rctx: "BaseRedundancyCheckerContext", operation: Operation, + dataflow: DataFlow, ctx: Optional[BaseInputSetContext] = None, ) -> AsyncIterator[BaseParameterSet]: # Create a mapping of definitions to inputs for that definition gather: Dict[str, List[Parameter]] = {} - async with self.parent.ctxhd_lock: + async with self.ctxhd_lock: # If no context is given we will generate input pairs for all # contexts - contexts = self.parent.ctxhd.values() + contexts = self.ctxhd.values() # If a context is given only search definitions within that context if not ctx is None: # Grab the input set context handle handle_string = (await ctx.handle()).as_string() # Ensure that the handle_string is present in ctxhd - if not handle_string in self.parent.ctxhd: + if not handle_string in self.ctxhd: return # Limit search to given context via context handle - contexts = [self.parent.ctxhd[handle_string]] - for ctx, definitions in contexts: + contexts = [self.ctxhd[handle_string]] + for ctx, _, by_origin in contexts: + # Grab the input flow to check for definition overrides + input_flow = dataflow.flow[operation.instance_name] + # TODO(p1) This only checks that Inputs that are present are + # true. If there are none present, the operation will run # Check that all conditions are present and logicly True - if not all( - map( - lambda definition: ( - definition in definitions - and all( - map( - lambda item: bool(item.value), - definitions[definition], - ) - ) - ), - operation.conditions, - ) - ): - return - # Gather all inputs with matching definitions and contexts - for key, definition in operation.inputs.items(): - # Return if any inputs are missing - if not definition in definitions: - return + for i, condition_source in enumerate(input_flow.conditions): + # Create a list of places this input originates from + origins = [] + if isinstance(condition_source, dict): + for origin in condition_source.items(): + origins.append(origin) else: - # Generate parameters from inputs - gather[key] = [ - Parameter( - key=key, - value=item.value, - origin=item, - definition=definition, - ) - for item in definitions[definition] - ] + origins.append(condition_source) + # Ensure all conditions from all origins are True + for origin in origins: + # Bail if the condition doesn't exist + if not origin in by_origin: + return + # Bail if the condition is not True + for item in by_origin[origin]: + # TODO(p2) Alright, this shits fucked, way not clean + # / clear. We're just trying to skip any conditions + # (and inputs for input_flow.inputs.items()) where + # the definition doesn't match, but it's within the + # correct origin. + if isinstance(condition_source, str): + if ( + item.definition.name + != operation.conditions[i].name + ): + continue + elif ( + item.definition.name + != dataflow.operations[origin[0]] + .outputs[origin[1]] + .name + ): + continue + if not bool(item.value): + return + # Gather all inputs with matching definitions and contexts + for input_name, input_sources in input_flow.inputs.items(): + for input_source in input_sources: + # Create a list of places this input originates from + origins = [] + if isinstance(input_source, dict): + for origin in input_source.items(): + origins.append(origin) + else: + origins.append(input_source) + # Create parameters for all the inputs + gather[input_name] = [] + for origin in origins: + # Don't try to grab inputs from an origin that + # doesn't have any to give us + if not origin in by_origin: + continue + # Generate parameters from inputs + for item in by_origin[origin]: + # TODO(p2) We favored comparing names to + # defintions because sometimes we create + # defintions which have specs which create new + # types which will not equal each other. We + # maybe want to consider switching to comparing + # exported Defintions + if isinstance(input_source, str): + if ( + item.definition.name + != operation.inputs[input_name].name + ): + continue + elif ( + item.definition.name + != dataflow.operations[origin[0]] + .outputs[origin[1]] + .name + ): + continue + gather[input_name].append( + Parameter( + key=input_name, + value=item.value, + origin=item, + definition=operation.inputs[ + input_name + ], + ) + ) + # Return if there is no data for an input + if not gather[input_name]: + return # Generate all possible permutations of applicable inputs for permutation in product(*list(gather.values())): # Create the parameter set @@ -378,22 +500,13 @@ async def gather_inputs( @entry_point("memory") -class MemoryInputNetwork(BaseInputNetwork): +class MemoryInputNetwork(BaseInputNetwork, BaseMemoryDataFlowObject): """ Inputs backed by a set """ CONTEXT = MemoryInputNetworkContext - def __init__(self, config: BaseConfig) -> None: - super().__init__(config) - self.ctx_notification_set = NotificationSet() - self.input_notification_set = {} - # Organize by context handle string then by definition within that - self.ctxhd: Dict[str, Dict[Definition, Any]] = {} - # TODO Create ctxhd_locks dict to manage a per context lock - self.ctxhd_lock = asyncio.Lock() - class MemoryOperationNetworkConfig(NamedTuple): # Starting set of operations @@ -401,55 +514,57 @@ class MemoryOperationNetworkConfig(NamedTuple): class MemoryOperationNetworkContext(BaseOperationNetworkContext): + def __init__( + self, config: BaseConfig, parent: "MemoryOperationNetwork" + ) -> None: + super().__init__(config, parent) + self.memory = {} + self.lock = asyncio.Lock() + async def add(self, operations: List[Operation]): - async with self.parent.lock: - map(self.parent.memory.add, operations) + async with self.lock: + for operation in operations: + self.memory[operation.instance_name] = operation async def operations( self, + dataflow: DataFlow, + *, input_set: Optional[BaseInputSet] = None, stage: Stage = Stage.PROCESSING, ) -> AsyncIterator[Operation]: - # Set list of needed input definitions if given - if not input_set is None: - input_definitions = await input_set.definitions() - # Yield all operations with an input in the input set - for operation in self.parent.memory: - # Only run operations of the requested stage - if operation.stage != stage: - continue - # If there is a given input set check each definition in it against - # the operation's inputs to verify we are only looking at the subset - if input_set is not None: - if not [ - item - for item in operation.inputs.values() - if item in input_definitions - ] and not [ - item - for item in operation.conditions - if item in input_definitions - ]: + operations: Dict[str, Operation] = {} + if stage not in dataflow.by_origin: + return + if input_set is None: + for operation in chain(*dataflow.by_origin[stage].values()): + operations[operation.instance_name] = operation + else: + async for item in input_set.inputs(): + origin = item.origin + if isinstance(origin, Operation): + origin = origin.instance_name + if origin not in dataflow.by_origin[stage]: continue + for operation in dataflow.by_origin[stage][origin]: + operations[operation.instance_name] = operation + for operation in operations.values(): yield operation @entry_point("memory") -class MemoryOperationNetwork(BaseOperationNetwork): +class MemoryOperationNetwork(BaseOperationNetwork, BaseMemoryDataFlowObject): """ Operations backed by a set """ CONTEXT = MemoryOperationNetworkContext - def __init__(self, config: BaseConfig) -> None: - super().__init__(config) - self.memory = config.operations.copy() - self.lock = asyncio.Lock() - @classmethod def args(cls, args, *above) -> Dict[str, Arg]: - cls.config_set(args, above, "ops", Arg(type=Operation.load, nargs="+")) + cls.config_set( + args, above, "ops", Arg(type=Operation.load, nargs="+", default=[]) + ) return args @classmethod @@ -460,6 +575,12 @@ def config(cls, config, *above) -> MemoryOperationNetworkConfig: class MemoryRedundancyCheckerContext(BaseRedundancyCheckerContext): + def __init__( + self, config: BaseConfig, parent: "MemoryRedundancyChecker" + ) -> None: + super().__init__(config, parent) + self.kvctx = None + async def __aenter__(self) -> "MemoryRedundancyCheckerContext": self.__stack = AsyncExitStack() await self.__stack.__aenter__() @@ -476,7 +597,7 @@ async def unique( ) -> str: """ SHA384 hash of the parameter set context handle as a string, the - operation name, and the sorted list of input uuids. + operation.instance_name, and the sorted list of input uuids. """ uid_list = sorted( map( @@ -485,7 +606,7 @@ async def unique( ) ) uid_list.insert(0, (await parameter_set.ctx.handle()).as_string()) - uid_list.insert(0, operation.name) + uid_list.insert(0, operation.instance_name) return hashlib.sha384(", ".join(uid_list).encode("utf-8")).hexdigest() async def exists( @@ -511,7 +632,7 @@ async def add(self, operation: Operation, parameter_set: BaseParameterSet): @entry_point("memory") -class MemoryRedundancyChecker(BaseRedundancyChecker): +class MemoryRedundancyChecker(BaseRedundancyChecker, BaseMemoryDataFlowObject): """ Redundancy Checker backed by Memory Key Value Store """ @@ -527,7 +648,7 @@ async def __aenter__(self) -> "MemoryRedundancyCheckerContext": return self async def __aexit__(self, exc_type, exc_value, traceback): - await self.__stack.aclose() + await self.__stack.__aexit__(exc_type, exc_value, traceback) @classmethod def args(cls, args, *above) -> Dict[str, Arg]: @@ -552,6 +673,13 @@ def config(cls, config, *above): class MemoryLockNetworkContext(BaseLockNetworkContext): + def __init__( + self, config: BaseConfig, parent: "MemoryLockNetwork" + ) -> None: + super().__init__(config, parent) + self.lock = asyncio.Lock() + self.locks: Dict[str, asyncio.Lock] = {} + @asynccontextmanager async def acquire(self, parameter_set: BaseParameterSet): """ @@ -560,16 +688,16 @@ async def acquire(self, parameter_set: BaseParameterSet): """ need_lock = {} # Acquire the master lock to find and or create needed locks - async with self.parent.lock: + async with self.lock: # Get all the inputs up the ancestry tree inputs = [item async for item in parameter_set.inputs()] # Only lock the ones which require it for item in filter(lambda item: item.definition.lock, inputs): # Create the lock for the input if not present - if not item.uid in self.parent.locks: - self.parent.locks[item.uid] = asyncio.Lock() + if not item.uid in self.locks: + self.locks[item.uid] = asyncio.Lock() # Retrieve the lock - need_lock[item.uid] = (item, self.parent.locks[item.uid]) + need_lock[item.uid] = (item, self.locks[item.uid]) # Use AsyncExitStack to lock the variable amount of inputs required async with AsyncExitStack() as stack: # Take all the locks we found we needed for this parameter set @@ -583,15 +711,10 @@ async def acquire(self, parameter_set: BaseParameterSet): @entry_point("memory") -class MemoryLockNetwork(BaseLockNetwork): +class MemoryLockNetwork(BaseLockNetwork, BaseMemoryDataFlowObject): CONTEXT = MemoryLockNetworkContext - def __init__(self, config: BaseConfig) -> None: - super().__init__(config) - self.lock = asyncio.Lock() - self.locks: Dict[str, asyncio.Lock] = {} - class MemoryOperationImplementationNetworkConfig(NamedTuple): operations: Dict[str, OperationImplementation] @@ -600,41 +723,113 @@ class MemoryOperationImplementationNetworkConfig(NamedTuple): class MemoryOperationImplementationNetworkContext( BaseOperationImplementationNetworkContext ): + def __init__( + self, + config: BaseConfig, + parent: "MemoryOperationImplementationNetwork", + ) -> None: + super().__init__(config, parent) + self.opimps = self.parent.config.operations + self.operations = {} + self.completed_event = asyncio.Event() + + async def __aenter__( + self + ) -> "MemoryOperationImplementationNetworkContext": + self._stack = AsyncExitStack() + await self._stack.__aenter__() + self.operations = { + opimp.op.name: await self._stack.enter_async_context(opimp) + for opimp in self.opimps.values() + } + return self + + async def __aexit__(self, exc_type, exc_value, traceback): + if self._stack is not None: + await self._stack.__aexit__(exc_type, exc_value, traceback) + self._stack = None + async def contains(self, operation: Operation) -> bool: """ Checks if operation in is operations we have loaded in memory """ - return operation.name in self.parent.operations + return operation.instance_name in self.operations - async def instantiable(self, operation: Operation) -> bool: + async def instantiable( + self, operation: Operation, *, opimp: OperationImplementation = None + ) -> bool: """ Looks for class registered with ____ entrypoint using pkg_resources. """ - raise NotImplementedError() + # This is pure Python, so if we're given an operation implementation we + # will be able to instantiate it + if opimp is not None: + return True + try: + opimp = OperationImplementation.load(operation.name) + except FailedToLoadOperationImplementation as error: + self.logger.debug( + "OperationImplementation %r is not instantiable: %s", + operation.name, + error, + ) + return False + return True async def instantiate( - self, operation: Operation, config: BaseConfig + self, + operation: Operation, + config: BaseConfig, + *, + opimp: OperationImplementation = None, ) -> bool: """ Instantiate class registered with ____ entrypoint using pkg_resources. Return true if instantiation was successful. """ - raise NotImplementedError() + if opimp is None: + if await self.instantiable(operation): + opimp = OperationImplementation.load(operation.name) + else: + raise OperationImplementationNotInstantiable(operation.name) + self.operations[ + operation.instance_name + ] = await self._stack.enter_async_context(opimp(config)) + + async def ensure_contains(self, operation: Operation): + """ + Raise errors if we don't have and can't instantiate an operation. + """ + # Check that our network contains the operation + if not await self.contains(operation): + if not await self.instantiable(operation): + raise OperationImplementationNotInstantiable(operation.name) + else: + raise OperationImplementationNotInstantiated( + operation.instance_name + ) async def run( self, ctx: BaseInputSetContext, - ictx: BaseInputNetworkContext, + octx: BaseOrchestratorContext, operation: Operation, inputs: Dict[str, Any], ) -> Union[bool, Dict[str, Any]]: """ Run an operation in our network. """ - async with self.parent.operations[operation.name](ctx, ictx) as opctx: + # Check that our network contains the operation + await self.ensure_contains(operation) + # Create an opimp context and run the opertion + async with self.operations[operation.instance_name]( + ctx, octx + ) as opctx: self.logger.debug("---") self.logger.debug( - "Stage: %s: %s", operation.stage.value.upper(), operation.name + "Stage: %s: %s", + operation.stage.value.upper(), + operation.instance_name, ) self.logger.debug("Inputs: %s", inputs) self.logger.debug( @@ -655,13 +850,12 @@ async def run( return outputs async def operation_completed(self): - await self.parent.completed_event.wait() - self.parent.completed_event.clear() + await self.completed_event.wait() + self.completed_event.clear() async def run_dispatch( self, - ictx: BaseInputNetworkContext, - lctx: BaseLockNetworkContext, + octx: BaseOrchestratorContext, operation: Operation, parameter_set: BaseParameterSet, ): @@ -669,12 +863,13 @@ async def run_dispatch( Run an operation in the background and add its outputs to the input network when complete """ + # Ensure that we can run the operation # Lock all inputs which cannot be used simultaneously - async with lctx.acquire(parameter_set): + async with octx.lctx.acquire(parameter_set): # Run the operation outputs = await self.run( parameter_set.ctx, - ictx, + octx, operation, await parameter_set._asdict(), ) @@ -697,6 +892,7 @@ async def run_dispatch( value=value, definition=operation.outputs[key], parents=parents, + origin=(operation.instance_name, key), ) ) except KeyError as error: @@ -704,12 +900,12 @@ async def run_dispatch( "Value %s missing from output:definition mapping %s(%s)" % ( str(error), - operation.name, + operation.instance_name, ", ".join(operation.outputs.keys()), ) ) from error # Add the input set made from the outputs to the input set network - await ictx.add( + await octx.ictx.add( MemoryInputSet( MemoryInputSetConfig(ctx=parameter_set.ctx, inputs=inputs) ) @@ -718,19 +914,18 @@ async def run_dispatch( async def dispatch( self, - ictx: BaseInputNetworkContext, - lctx: BaseLockNetworkContext, + octx: BaseOrchestratorContext, operation: Operation, parameter_set: BaseParameterSet, ): """ Schedule the running of an operation """ - self.logger.debug("[DISPATCH] %s", operation.name) + self.logger.debug("[DISPATCH] %s", operation.instance_name) task = asyncio.create_task( - self.run_dispatch(ictx, lctx, operation, parameter_set) + self.run_dispatch(octx, operation, parameter_set) ) - task.add_done_callback(ignore_args(self.parent.completed_event.set)) + task.add_done_callback(ignore_args(self.completed_event.set)) return task async def operations_parameter_set_pairs( @@ -739,6 +934,7 @@ async def operations_parameter_set_pairs( octx: BaseOperationNetworkContext, rctx: BaseRedundancyCheckerContext, ctx: BaseInputSetContext, + dataflow: DataFlow, *, new_input_set: Optional[BaseInputSet] = None, stage: Stage = Stage.PROCESSING, @@ -751,59 +947,42 @@ async def operations_parameter_set_pairs( """ # Get operations which may possibly run as a result of these new inputs async for operation in octx.operations( - input_set=new_input_set, stage=stage + dataflow, input_set=new_input_set, stage=stage ): # Generate all pairs of un-run input combinations async for parameter_set in ictx.gather_inputs( - rctx, operation, ctx=ctx + rctx, operation, dataflow, ctx=ctx ): yield operation, parameter_set @entry_point("memory") -class MemoryOperationImplementationNetwork(BaseOperationImplementationNetwork): +class MemoryOperationImplementationNetwork( + BaseOperationImplementationNetwork, BaseMemoryDataFlowObject +): CONTEXT = MemoryOperationImplementationNetworkContext - def __init__( - self, config: MemoryOperationImplementationNetworkConfig - ) -> None: - super().__init__(config) - self.opimps = self.config.operations - self.operations = {} - self.completed_event = asyncio.Event() - - async def __aenter__( - self - ) -> "MemoryOperationImplementationNetworkContext": - self.__stack = AsyncExitStack() - await self.__stack.__aenter__() - self.operations = { - opimp.op.name: await self.__stack.enter_async_context(opimp) - for opimp in self.opimps.values() - } - return self - - async def __aexit__(self, exc_type, exc_value, traceback): - if self.__stack is not None: - await self.__stack.aclose() - self.__stack = None - @classmethod def args(cls, args, *above) -> Dict[str, Arg]: # Enable the user to specify operation implementations to be loaded via # the entrypoint system (by ParseOperationImplementationAction) + # TODO opimps should be operations cls.config_set( args, above, "opimps", - Arg(type=OperationImplementation.load, nargs="+"), + Arg(type=OperationImplementation.load, nargs="+", default=[]), ) # Add orig label to above since we are done loading above = cls.add_orig_label(*above) # Load all the opimps and add the arguments they might require + # TODO(p4) Should we do this? If someone messes up their entrypoints in + # one package it will mess up loading anytime this is called. + """ for loaded in OperationImplementation.load(): loaded.args(args, *above) + """ return args @classmethod @@ -825,47 +1004,209 @@ class MemoryOrchestratorConfig(BaseOrchestratorConfig): """ +class MemoryOrchestratorContextConfig(NamedTuple): + uid: str + dataflow: DataFlow + # Context objects to reuse. If not present in this dict a new context object + # will be created. + reuse: Dict[str, BaseDataFlowObjectContext] + + class MemoryOrchestratorContext(BaseOrchestratorContext): - def __init__(self, parent: "BaseOrchestrator") -> None: - super().__init__(parent) + def __init__( + self, + config: MemoryOrchestratorContextConfig, + parent: "BaseOrchestrator", + ) -> None: + super().__init__(config, parent) self._stack = None async def __aenter__(self) -> "BaseOrchestratorContext": + # TODO(subflows) In all of these contexts we are about to enter, they + # all reach into their parents and store things in the parents memory + # (or similar). What should be done is to have them create their own + # storage space, so that each context is unique (which seems quite + # unsupprising now, not sure what I was thinking before). If an + # operation wants to initiate a subflow. It will need to call a method + # we have yet to write within the orchestrator context which will reach + # up to the parent of that orchestrator context and create a new + # orchestrator context, thus triggering this __aenter__ method for the + # new context. The only case where an operation will not want to reach + # up to the parent to get all new contexts, is when it's an output + # operation which desires to execute a subflow. If the output operation + # created new contexts, then there would be no inputs in them, so that + # would be pointless. + enter = { + "rctx": self.parent.rchecker, + "ictx": self.parent.input_network, + "octx": self.parent.operation_network, + "lctx": self.parent.lock_network, + "nctx": self.parent.opimp_network, + } + # If we were told to reuse a context, don't enter it. Just set the + # attribute now. + for name, ctx in self.config.reuse.items(): + if name in enter: + self.logger.debug("Reusing %s: %s", name, ctx) + del enter[name] + setattr(self, name, ctx) + # Creat the exit stack and enter all the contexts we won't be reusing self._stack = AsyncExitStack() - self._stack = await aenter_stack( - self, - { - "rctx": self.parent.rchecker, - "ictx": self.parent.input_network, - "octx": self.parent.operation_network, - "lctx": self.parent.lock_network, - "nctx": self.parent.opimp_network, - }, - ) + self._stack = await aenter_stack(self, enter) + # Ensure that we can run the dataflow + await self.initialize_dataflow(self.config.dataflow) return self async def __aexit__(self, exc_type, exc_value, traceback): await self._stack.aclose() - async def run_operations( - self, strict: bool = True + async def initialize_dataflow(self, dataflow: DataFlow) -> None: + """ + Initialize a DataFlow by preforming the following steps. + + 1. Add operations the operation network context + 2. Instantiate operation implementations which are not instantiated + within the operation implementation network context + 3. Seed input network context with given inputs + """ + self.logger.debug("Initializing dataflow: %s", dataflow) + # Add operations to operations network context + await self.octx.add(dataflow.operations.values()) + # Instantiate all operations + for (instance_name, operation) in dataflow.operations.items(): + # Add and instantiate operation implementation if not + # present + if not await self.nctx.contains(operation): + # We may have been provided with the implemenation. Attempt to + # look it up from within the dataflow. + opimp = dataflow.implementations.get(operation.name, None) + # There is a possiblity the operation implemenation network will + # be able to instantiate from the given operation implementation + # if present. But we can't count on it. + if not await self.nctx.instantiable(operation, opimp=opimp): + raise OperationImplementationNotInstantiable( + operation.name + ) + else: + opimp_config = dataflow.configs.get( + operation.instance_name, None + ) + if opimp_config is None: + self.logger.debug( + "Instantiating operation implementation %s(%s) with base config", + operation.instance_name, + operation.name, + ) + opimp_config = BaseConfig() + await self.nctx.instantiate( + operation, opimp_config, opimp=opimp + ) + + async def seed_inputs( + self, + *, + ctx: Optional[BaseInputSetContext] = None, + input_set: Optional[Union[List[Input], BaseInputSet]] = None, + ) -> BaseInputSetContext: + self.logger.debug("Seeding dataflow with input_set: %s", input_set) + if input_set is None: + # Create a list if extra inputs were not given + input_set: List[Input] = [] + if isinstance(input_set, list): + # Do not modify the callers list if extra inputs were given + input_set = input_set.copy() + # Add seed values to the input set + list(map(input_set.append, self.config.dataflow.seed)) + elif isinstance(input_set, BaseInputSet): + # TODO Maybe allow setting it? Is there a usecase for this? + if ctx is not None: + self.logger.info( + "seed_inputs will not set the context of a BaseInputSet instance to the new context provided" + ) + # Add all seed input_set to the input set + for item in self.config.dataflow.seed: + await input_set.add(item) + # Add all the input sets + if isinstance(input_set, list): + if ctx is not None: + # Add under existing context if given + await self.ictx.cadd(ctx, *input_set) + else: + # Otherwise create new context + ctx = await self.ictx.uadd(*input_set) + else: + # Add the input set + await self.ictx.add(input_set) + ctx = input_set.ctx + return ctx + + # TODO(dfass) Get rid of run_operations, make it run_dataflow. Pass down the + # dataflow to everything. Make inputs a list of InputSets or an + # asyncgenerator of InputSets. Add a parameter which tells us if we should + # exit when all operations are complete or continue to wait for more inputs + # from the asyncgenerator. Make that parameter an asyncio.Event + async def run( + self, + *input_sets: Union[List[Input], BaseInputSet], + strict: bool = True, + ctx: Optional[BaseInputSetContext] = None, + halt: Optional[asyncio.Event] = None, ) -> AsyncIterator[Tuple[BaseContextHandle, Dict[str, Any]]]: - # Track if there are more contexts - more = True + """ + Run a DataFlow. + """ + # Lists of contexts we care about for this dataflow + ctxs: List[BaseInputSetContext] = [] + self.logger.debug("Running %s: %s", self.config.dataflow, input_sets) + if not input_sets: + # If there are no input sets, add only seed inputs + ctxs.append(await self.seed_inputs(ctx=ctx)) + if len(input_sets) == 1 and inspect.isasyncgen(input_sets[0]): + # Check if inputs is an asyncgenerator + # If it is, start a coroutine to wait for new inputs or input sets + # from it. When new inputs are received, add the seed inputs from + # the dataflow to the context. + # TODO(dfass) Grab inputs from asyncgen, combine with seed + raise NotImplementedError("asyncgen not yet supported") + elif len(input_sets) == 1 and isinstance(input_sets[0], dict): + # Helper to quickly add inputs under string context + for ctx_string, input_set in input_sets[0].items(): + ctxs.append( + await self.seed_inputs( + ctx=StringInputSetContext(ctx_string), + input_set=input_set, + ) + ) + else: + # For inputs sets that are of type BaseInputSetContext or list + for input_set in input_sets: + ctxs.append( + await self.seed_inputs(ctx=ctx, input_set=input_set) + ) + # TODO Add check that ctx returned is the ctx corresponding to uadd. + # We'll have to make uadd return the ctx so we can compare. + # TODO Send the context back into some list maintained by + # run_operations so that if there is another run_dataflow method + # running on the same orchestrator context it will get the context + # it's waiting for and return + # BEGIN old run_operations # Set of tasks we are waiting on + # TODO Make some way to cap the number of context's who have operations + # executing. Or maybe just the number of operations. Or both. tasks = set() - # Create initial events to wait on - new_context_enters_network = asyncio.create_task(self.ictx.ctx()) - tasks.add(new_context_enters_network) + # Create tasks to wait on the results of each of the contexts submitted + for ctx in ctxs: + self.logger.debug( + "kickstarting context: %s", (await ctx.handle()).as_string() + ) + tasks.add( + asyncio.create_task( + self.run_operations_for_ctx(ctx, strict=strict) + ) + ) try: # Return when outstanding operations reaches zero while tasks: - if ( - not more - and len(tasks) == 1 - and new_context_enters_network in tasks - ): - break # Wait for incoming events done, _pending = await asyncio.wait( tasks, return_when=asyncio.FIRST_COMPLETED @@ -884,29 +1225,6 @@ async def run_operations( task.print_stack(file=output) self.logger.error("%s", output.getvalue().rstrip()) output.close() - elif task is new_context_enters_network: - # TODO Make some way to cap the number of context's who have - # operations executing. Or maybe just the number of - # operations. Or both. - # A new context entered the network - more, new_ctx = new_context_enters_network.result() - self.logger.debug( - "new_context_enters_network: %s", - (await new_ctx.handle()).as_string(), - ) - # Add a task which will run operations for the new context - tasks.add( - asyncio.create_task( - self.run_operations_for_ctx( - new_ctx, strict=strict - ) - ) - ) - # Create a another task to waits for a new context - new_context_enters_network = asyncio.create_task( - self.ictx.ctx() - ) - tasks.add(new_context_enters_network) else: # All operations for a context completed # Yield the context that completed and the results of its @@ -932,6 +1250,7 @@ async def run_operations_for_ctx( # String representing the context we are executing operations for ctx_str = (await ctx.handle()).as_string() # Create initial events to wait on + # TODO(dfass) Make ictx.added(ctx) specific to dataflow input_set_enters_network = asyncio.create_task(self.ictx.added(ctx)) tasks.add(input_set_enters_network) try: @@ -973,6 +1292,7 @@ async def run_operations_for_ctx( self.octx, self.rctx, ctx, + self.config.dataflow, new_input_set=new_input_set, ): # Add inputs and operation to redundancy checker before @@ -980,16 +1300,13 @@ async def run_operations_for_ctx( await self.rctx.add(operation, parameter_set) # Dispatch the operation and input set for running dispatch_operation = await self.nctx.dispatch( - self.ictx, - self.lctx, - operation, - parameter_set, + self, operation, parameter_set ) tasks.add(dispatch_operation) self.logger.debug( "[%s]: dispatch operation: %s", ctx_str, - operation.name, + operation.instance_name, ) # Create a another task to waits for new input sets input_set_enters_network = asyncio.create_task( @@ -1008,33 +1325,50 @@ async def run_operations_for_ctx( ctx, Stage.CLEANUP ): pass - # Run output and return context along with output - return ( - ctx, - { - operation.name: results + # Set output to empty dict in case output operations fail + output = {} + # Run output operations and create a dict mapping the operation name to + # the output of that operation + try: + output = { + operation.instance_name: results async for operation, results in self.run_stage( ctx, Stage.OUTPUT ) - }, - ) + } + except: + if strict: + raise + else: + self.logger.error("%s", traceback.format_exc().rstrip()) + # If there is only one output operation, return only it's result instead + # of a dict with it as the only key value pair + if len(output) == 1: + output = list(output.values())[0] + # Return the context along with it's output + return ctx, output async def run_stage(self, ctx: BaseInputSetContext, stage: Stage): # Identify which operations have complete contextually appropriate # input sets which haven't been run yet and are stage operations async for operation, parameter_set in self.nctx.operations_parameter_set_pairs( - self.ictx, self.octx, self.rctx, ctx, stage=stage + self.ictx, + self.octx, + self.rctx, + ctx, + self.config.dataflow, + stage=stage, ): # Add inputs and operation to redundancy checker before dispatch await self.rctx.add(operation, parameter_set) # Run the operation, input set pair yield operation, await self.nctx.run( - ctx, self.ictx, operation, await parameter_set._asdict() + ctx, self, operation, await parameter_set._asdict() ) @entry_point("memory") -class MemoryOrchestrator(BaseOrchestrator): +class MemoryOrchestrator(BaseOrchestrator, BaseMemoryDataFlowObject): CONTEXT = MemoryOrchestratorContext @@ -1059,6 +1393,16 @@ async def __aenter__(self) -> "DataFlowFacilitator": async def __aexit__(self, exc_type, exc_value, traceback): await self._stack.aclose() + def __call__( + self, dataflow: DataFlow, **kwargs + ) -> BaseDataFlowObjectContext: + return self.CONTEXT( + MemoryOrchestratorContextConfig( + uid=secrets.token_hex(), dataflow=dataflow, reuse=kwargs + ), + self, + ) + @classmethod def args(cls, args, *above) -> Dict[str, Arg]: # Extending above is done right before loading args of subclasses diff --git a/dffml/df/multicomm.py b/dffml/df/multicomm.py new file mode 100644 index 0000000000..a31ed28c4c --- /dev/null +++ b/dffml/df/multicomm.py @@ -0,0 +1,149 @@ +import abc +import pathlib +import contextlib +from typing import Union, Tuple, Dict + +from ..util.data import merge +from ..util.entrypoint import base_entry_point +from ..config.config import BaseConfigLoader +from .base import BaseDataFlowObjectContext, BaseDataFlowObject +from .types import DataFlow + +# Filetypes to ignore (don't try to load as a config) +IGNORE = ["swp"] + + +class MultiCommInAtomicMode(Exception): + """ + Raised when registration is locked. + """ + + +class NoConfigsForMultiComm(Exception): + """ + Raised when no configs are found for the loaded type of multicomm + """ + + +class NoDataFlows(Exception): + """ + Raised when no dataflows are found + """ + + +class NoDataFlowsForConfig(Exception): + """ + Raised when no dataflows are found for a channel config + """ + + +class BaseCommChannelConfig: + """ + Config structure for a communication channel. It MUST include a ``dataflow`` + parameter. + """ + + +class BaseMultiCommContext(BaseDataFlowObjectContext, abc.ABC): + """ + Abstract Base Class for mutlicomm contexts + """ + + def __init__(self, parent: "BaseMultiComm") -> None: + self.parent = parent + + @abc.abstractmethod + async def register(self, config: BaseCommChannelConfig) -> None: + """ + Register a communication channel with the multicomm context. + """ + + @abc.abstractmethod + def register_config(self) -> BaseCommChannelConfig: + """ + Return the config object to be passed to the resigter method + """ + + def _iter_configs(self, directory: pathlib.Path) -> Dict: + """ + Yield pathlib.Path objects for each relevant config file. Ignore some + filetypes. + """ + for path in directory.rglob("*"): + if path.suffix.replace(".", "") in IGNORE: + continue + yield path + + async def register_directory( + self, directory: Union[pathlib.Path, str] + ) -> None: + """ + Register all configs found in a directory + """ + # Get the config class for this multicomm + config_cls: BaseCommChannelConfig = self.register_config() + # For entering ConfigLoader contexts + async with contextlib.AsyncExitStack() as exit_stack: + # Configs for this multicomm + mc_configs: Dict[Tuple, Union[Dict, BaseCommChannelConfig]] = {} + df_configs: Dict[Tuple, DataFlow] = {} + # Convert to pathlib object if not already + if not isinstance(directory, pathlib.Path): + directory = pathlib.Path(directory) + # Load config loaders we'll need as we see their file types + parsers: Dict[str, BaseConfigLoader] = {} + # Grab all files containing BaseCommChannelConfigs. Each entry is a + # BaseCommChannelConfig. However, we don't have its dataflow + # property. Since that is stored in a separate directory + mc_dir = pathlib.Path(directory, "mc", self.ENTRY_POINT_LABEL) + if not mc_dir.is_dir(): + raise NoConfigsForMultiComm(f"In {mc_dir!s}") + for path in self._iter_configs(mc_dir): + config_path, config = await BaseConfigLoader.load_file( + parsers, exit_stack, path, base_dir=mc_dir + ) + mc_configs[config_path] = config + # Grab all files containing DataFlows + df_dir = pathlib.Path(directory, "df") + if not df_dir.is_dir(): + raise NoDataFlows(f"In {df_dir!s}") + # Load all the DataFlows + for path in self._iter_configs(df_dir): + config_path, config = await BaseConfigLoader.load_file( + parsers, exit_stack, path, base_dir=df_dir + ) + df_configs[config_path] = config + # Now that we have all the dataflow, add it to its respective + # multicomm config + mc_configs[config_path]["dataflow"] = config + # Load all overrides + override_dir = pathlib.Path(directory, "override") + for path in self._iter_configs(override_dir): + config_path, config = await BaseConfigLoader.load_file( + parsers, exit_stack, path, base_dir=override_dir + ) + if not config_path in df_configs: + self.logger.info( + "Overriding non-existent DataFlow: %s", config_path + ) + df_configs[config_path] = config + else: + merge(df_configs[config_path], config) + # Instantiate all configs and register them + for config_path in mc_configs.keys(): + # Assign dataflow to its respective channel config + if not config_path in df_configs: + raise NoDataFlowsForConfig(config_path) + mc_configs[config_path]["dataflow"] = df_configs[config_path] + # Finally, turn the dict into an object and register it + mc_configs[config_path] = config_cls._fromdict( + **mc_configs[config_path] + ) + await self.register(mc_configs[config_path]) + + +@base_entry_point("dffml.mutlicomm", "mc") +class BaseMultiComm(BaseDataFlowObject): + """ + Abstract Base Class for mutlicomms + """ diff --git a/dffml/df/types.py b/dffml/df/types.py index b6f269a24b..f8bc49d85a 100644 --- a/dffml/df/types.py +++ b/dffml/df/types.py @@ -1,12 +1,34 @@ import uuid +import copy +import pydoc +import inspect import itertools -from enum import Enum import pkg_resources -from typing import NamedTuple, Union, List, Dict, Optional, Any, Iterator +from enum import Enum +from dataclasses import dataclass, field, asdict +from typing import ( + NamedTuple, + Union, + List, + Dict, + Optional, + Any, + Iterator, + Callable, + Tuple, +) +from ..base import BaseConfig +from ..util.data import export_dict, type_lookup from ..util.entrypoint import Entrypoint, base_entry_point +class DefinitionMissing(Exception): + """ + Definition missing from linked DataFlow + """ + + class Definition(NamedTuple): """ List[type] is how to specify a list @@ -26,11 +48,49 @@ def __str__(self): def export(self): exported = dict(self._asdict()) - del exported["name"] if not self.lock: del exported["lock"] + if not self.spec: + del exported["spec"] + else: + exported["spec"] = export_dict( + name=self.spec.__qualname__, + types=self.spec._field_types, + defaults=self.spec._field_defaults, + ) return exported + @classmethod + def _fromdict(cls, **kwargs): + # TODO(p5) We should avoid coping here, i think + kwargs = copy.deepcopy(kwargs) + if "spec" in kwargs: + # Alright this is horrible. But bear with me here. The + # typing.NamedTuple API as of 3.7 does not provide a clean way to + # create a new NamedTuple class where you specify the type hinting + # and the default values. The following is based on looking at the + # soruce code + # https://github.com/python/cpython/blob/3.7/Lib/typing.py#L1360 + # and seeing that we can hijack the __annotations__ property to + # allow us to set default values + def_tuple = kwargs["spec"]["defaults"] + annotations = {} + for key, typename in kwargs["spec"]["types"].items(): + annotations[key] = cls.type_lookup(typename) + def_tuple["__annotations__"] = annotations + kwargs["spec"] = type( + kwargs["spec"]["name"], (NamedTuple,), def_tuple + ) + return cls(**kwargs) + + @classmethod + def type_lookup(cls, typename): + # Allowlist of non-python builtin types + if typename in ["Definition"]: + # TODO More types + return cls + return type_lookup(typename) + class Stage(Enum): PROCESSING = "processing" @@ -38,36 +98,30 @@ class Stage(Enum): OUTPUT = "output" -@base_entry_point("dffml.operation", "operation") -class Operation(Entrypoint): - def __init__( - self, - name: str, - inputs: Dict[str, Definition], - outputs: Dict[str, Definition], - conditions: List[Definition], - stage: Stage = Stage.PROCESSING, - expand: Optional[List[str]] = None, - ): - super().__init__() - self.name = name - self.inputs = inputs - self.outputs = outputs - self.conditions = conditions - self.stage = stage - if expand is None: - expand = [] - self.expand = expand +class FailedToLoadOperation(Exception): + """ + Raised when an Operation wasn't found to be registered with the + dffml.operation entrypoint. + """ - def __repr__(self): - return str(self.export()) + +@base_entry_point("dffml.operation", "operation") +class Operation(NamedTuple, Entrypoint): + name: str + inputs: Dict[str, Definition] + outputs: Dict[str, Definition] + stage: Stage = Stage.PROCESSING + conditions: Optional[List[Definition]] = [] + expand: Optional[List[str]] = [] + instance_name: Optional[str] = None def export(self): exported = { + "name": self.name, "inputs": self.inputs.copy(), "outputs": self.outputs.copy(), "conditions": self.conditions.copy(), - "stage": self.stage, + "stage": self.stage.value, "expand": self.expand.copy(), } for to_string in ["conditions"]: @@ -77,7 +131,7 @@ def export(self): for to_string in ["inputs", "outputs"]: exported[to_string] = dict( map( - lambda key_def: (key_def[0], key_def[1].name), + lambda key_def: (key_def[0], key_def[1].export()), exported[to_string].items(), ) ) @@ -106,13 +160,23 @@ def definitions(cls, *args: "Operation"): @classmethod def load(cls, loading=None): loading_classes = [] + # Load operations for i in pkg_resources.iter_entry_points(cls.ENTRY_POINT): - loaded = i.load() - loaded.ENTRY_POINT_LABEL = i.name - if isinstance(loaded, cls): - loading_classes.append(loaded) - if loading is not None and loaded.name == loading: + if loading is not None and i.name == loading: + loaded = i.load() + if isinstance(loaded, cls): return loaded + elif isinstance(getattr(loaded, "op", None), cls): + # Handle operations decorated with op + return loaded.op + else: + loaded = i.load() + loading_classes.append(loaded) + for i in pkg_resources.iter_entry_points(cls.ENTRY_POINT): + if loading is not None and i.name == loading: + return i.load() + else: + loading_classes.append(loaded) if loading is not None: raise KeyError( "%s was not found in (%s)" @@ -123,6 +187,60 @@ def load(cls, loading=None): ) return loading_classes + @classmethod + def _op(cls, loaded): + """ + Returns the operation from a loaded entrypoint object, or None if its + not an operation or doesn't have the op parameter which is an operation. + """ + for obj in [loaded, getattr(loaded, "op", None)]: + if isinstance(obj, cls): + return obj + return None + + @classmethod + def load(cls, loading=None): + loading_classes = [] + # Load operations + for i in pkg_resources.iter_entry_points(cls.ENTRY_POINT): + if loading is not None and i.name == loading: + loaded = cls._op(i.load()) + if loaded is not None: + return loaded + elif loading is None: + loaded = cls._op(i.load()) + if loaded is not None: + loading_classes.append(loaded) + if loading is not None: + raise FailedToLoadOperation( + "%s was not found in (%s)" + % ( + repr(loading), + ", ".join(list(map(lambda op: op.name, loading_classes))), + ) + ) + return loading_classes + + @classmethod + def _fromdict(cls, **kwargs): + for prop in ["inputs", "outputs"]: + if not prop in kwargs: + continue + kwargs[prop] = { + argument_name: Definition._fromdict(**definition) + for argument_name, definition in kwargs[prop].items() + } + for prop in ["conditions"]: + if not prop in kwargs: + continue + kwargs[prop] = [ + Definition._fromdict(**definition) + for definition in kwargs[prop] + ] + if "stage" in kwargs: + kwargs["stage"] = Stage[kwargs["stage"].upper()] + return cls(**kwargs) + class Output(NamedTuple): name: str @@ -143,14 +261,18 @@ def __init__( value: Any, definition: Definition, parents: Optional[List["Input"]] = None, + origin: Optional[Union[str, Tuple[Operation, str]]] = "seed", *, uid: Optional[str] = "", ): + # TODO Add optional parameter Input.target which specifies the operation + # instance name this Input is intended for. if parents is None: parents = [] self.value = value self.definition = definition self.parents = parents + self.origin = origin self.uid = uid if not self.uid: self.uid = str(uuid.uuid4()) @@ -168,14 +290,360 @@ def get_parents(self) -> Iterator["Input"]: ) def __repr__(self): - return "%s: %s" % (self.definition.name, self.value) + return f"Input(value={self.value}, definition={self.definition})" def __str__(self): return repr(self) + def export(self): + return dict(value=self.value, definition=self.definition.export()) + + @classmethod + def _fromdict(cls, **kwargs): + kwargs["definition"] = Definition._fromdict(**kwargs["definition"]) + return cls(**kwargs) + class Parameter(NamedTuple): key: str value: Any origin: Input definition: Definition + + +@dataclass +class InputFlow: + """ + Inputs of an operation by their name as used by the operation implementation + mapped to a list of locations they can come from. The list contains strings + in the format of operation_instance_name.key_in_output_mapping or the + literal "seed" which specifies that the value could be seeded to the + network. + """ + + inputs: Dict[str, List[Dict[str, Operation]]] = field(default=None) + conditions: List[Dict[str, Operation]] = field(default=None) + + def __post_init__(self): + if self.inputs is None: + self.inputs = {} + if self.conditions is None: + self.conditions = [] + + def export(self): + exported = export_dict(**asdict(self)) + if not exported["conditions"]: + del exported["conditions"] + return exported + + @classmethod + def _fromdict(cls, **kwargs): + return cls(**kwargs) + + +@dataclass +class DataFlow: + operations: Dict[str, Union[Operation, Callable]] + seed: List[Input] = field(default=None) + configs: Dict[str, BaseConfig] = field(default=None) + definitions: Dict[str, Definition] = field(init=False) + flow: Dict[str, InputFlow] = field(default=None) + by_origin: Dict[Stage, Dict[str, Operation]] = field(default=None) + # Implementations can be provided in case they haven't been registered via + # the entrypoint system. + implementations: Dict[str, "OperationImplementation"] = field(default=None) + + def __post_init__(self): + # Prevent usage of a global dict (if we set default to {} then all the + # instances will share the same instance of that dict, or list) + if self.seed is None: + self.seed = [] + if self.configs is None: + self.configs = {} + if self.by_origin is None: + self.by_origin = {} + if self.implementations is None: + self.implementations = {} + # Allow callers to pass in functions decorated with op. Iterate over the + # given operations and replace any which have been decorated with their + # operation. Add the implementation to our dict of implementations. + for instance_name, value in self.operations.items(): + # TODO(p4) We can't do isinstance because its defined in base, maybe + # we should move it in here. This is a hack. + is_opimp_non_decorated = bool( + getattr(value, "ENTRY_POINT_NAME", ["not-opimp"]) == ["opimp"] + ) + if ( + getattr(value, "imp", None) is not None + or is_opimp_non_decorated + ) and getattr(value, "op", None) is not None: + # Get the operation and implementation from the wrapped object + operation = getattr(value, "op", None) + opimp = ( + value + if is_opimp_non_decorated + else getattr(value, "imp", None) + ) + # Set the implementation if not explicitly set + self.implementations.setdefault(operation.name, opimp) + # Change this entry to the instance of Operation associated with + # the wrapped object + self.operations[instance_name] = operation + value = operation + # Make sure every operation has the correct instance name + self.operations[instance_name] = value._replace( + instance_name=instance_name + ) + # Grab all definitions from operations + operations = list(self.operations.values()) + definitions = list( + set( + itertools.chain( + *[ + itertools.chain( + operation.inputs.values(), + operation.outputs.values(), + operation.conditions, + ) + for operation in operations + ] + ) + ) + ) + definitions = { + definition.name: definition for definition in definitions + } + self.definitions = definitions + # Determine the dataflow if not given + if self.flow is None: + self.flow = self.auto_flow() + # Create by_origin which maps operation instance names to the sources + self.by_origin = {} + for instance_name, input_flow in self.flow.items(): + operation = self.operations[instance_name] + self.by_origin.setdefault(operation.stage, {}) + # TODO(p5) Make stanardize this so that seed is also a dict? + for output_source in input_flow.conditions: + if isinstance(output_source, str): + self.by_origin[operation.stage].setdefault( + output_source, [] + ) + self.by_origin[operation.stage][output_source].append( + operation + ) + else: + for origin in output_source.items(): + self.by_origin[operation.stage].setdefault(origin, []) + self.by_origin[operation.stage][origin].append( + operation + ) + for output_name, output_sources in input_flow.inputs.items(): + for output_source in output_sources: + if isinstance(output_source, str): + self.by_origin[operation.stage].setdefault( + output_source, [] + ) + self.by_origin[operation.stage][output_source].append( + operation + ) + else: + for origin in output_source.items(): + self.by_origin[operation.stage].setdefault( + origin, [] + ) + self.by_origin[operation.stage][origin].append( + operation + ) + + def export(self, *, linked: bool = False): + exported = { + "operations": { + instance_name: operation.export() + for instance_name, operation in self.operations.items() + }, + "seed": self.seed.copy(), + "configs": self.configs.copy(), + "flow": self.flow.copy(), + } + if linked: + exported["linked"] = True + exported["definitions"] = self.definitions.copy() + exported.update(self._linked()), + return export_dict(**exported) + + @classmethod + def _fromdict(cls, *, linked: bool = False, **kwargs): + # Import all operations + if linked: + kwargs.update(cls._resolve(kwargs)) + del kwargs["definitions"] + kwargs["operations"] = { + instance_name: Operation._fromdict( + instance_name=instance_name, **operation + ) + for instance_name, operation in kwargs["operations"].items() + } + # Import seed inputs + kwargs["seed"] = [ + Input._fromdict(**input_data) for input_data in kwargs["seed"] + ] + # Import input flows + kwargs["flow"] = { + instance_name: InputFlow._fromdict(**input_flow) + for instance_name, input_flow in kwargs["flow"].items() + } + return cls(**kwargs) + + @classmethod + def auto(cls, *operations): + return cls( + operations={ + getattr(getattr(operation, "op", operation), "name"): operation + for operation in operations + } + ) + + def auto_flow(self): + flow_dict = {} + # Create output_dict, which maps all of the definitions to the + # operations that create them. + output_dict = {} + for operation in self.operations.values(): + for definition in operation.outputs.values(): + output_dict.setdefault(definition.name, {}) + output_dict[definition.name].update( + {operation.instance_name: operation} + ) + # Got through all the operations and look at their inputs + for operation in self.operations.values(): + # TODO Auto flow on operation conditions too + flow_dict.setdefault(operation.instance_name, InputFlow()) + # Example operation: + # Operation( + # name="pypi_package_json", + # # internal_name: package + # # definition: package = Definition(name="package", primitive="str") + # inputs={"package": package}, + # # internal_name: response_json + # # definition: package_json = Definition(name="package_json", primitive="Dict") + # outputs={"response_json": package_json}, + # ) + # For each input + for internal_name, definition in operation.inputs.items(): + # With pypi_package_json example + # internal_name = "package" + # definition = package + # = Definition(name="package", primitive="str") + if definition.name in output_dict: + # Grab the dict of operations that produce this definition + # as an output + producing_operations = output_dict[definition.name] + # If the input could be produced by an operation in the + # network, then it's definition name will be in output_dict. + flow_dict[operation.instance_name].inputs[ + internal_name + ] = [] + # We look through the outputs and add any one that matches + # the definition and add it to the list in format of + # operation_name . internal_name (of output) + for producting_operation in producing_operations.values(): + for ( + internal_name_of_output, + output_definition, + ) in producting_operation.outputs.items(): + if output_definition == definition: + flow_dict[operation.instance_name].inputs[ + internal_name + ].append( + { + producting_operation.instance_name: internal_name_of_output + } + ) + else: + flow_dict[operation.instance_name].inputs[ + internal_name + ] = ["seed"] + # Now do conditions + for definition in operation.conditions: + if definition.name in output_dict: + # Grab the dict of operations that produce this definition + # as an output + producing_operations = output_dict[definition.name] + # We look through the outputs and add any one that matches + # the definition and add it to the list in format of + # operation_name . internal_name (of output) + for producting_operation in producing_operations.values(): + for ( + internal_name_of_output, + output_definition, + ) in producting_operation.outputs.items(): + if output_definition == definition: + flow_dict[ + operation.instance_name + ].conditions.append( + { + producting_operation.instance_name: internal_name_of_output + } + ) + else: + flow_dict[operation.instance_name].conditions = ["seed"] + return flow_dict + + @classmethod + def _resolve(cls, source: Dict): + definitions = {} + operations = {} + for name, definition in source.get("definitions", {}).items(): + definition.setdefault("name", name) + definitions[name] = definition + for instance_name, operation in source.get("operations", {}).items(): + # Replaces strings referencing definitions with definitions + for arg in ["conditions"]: + if not arg in operation: + continue + for i, definition_name in enumerate(operation[arg]): + if not definition_name in definitions: + raise DefinitionMissing( + f"While resolving {instance_name}.{arg}, missing {definition_name}" + ) + operation[arg][i] = definitions[definition_name] + for arg in ["inputs", "outputs"]: + if not arg in operation: + continue + for input_name, definition_name in operation[arg].items(): + if not definition_name in definitions: + raise DefinitionMissing( + f"While resolving {instance_name}.{arg}, missing {definition_name}" + ) + operation[arg][input_name] = definitions[definition_name] + operation.setdefault("name", name) + for item in source.get("seed", []): + # Replaces strings referencing definitions with definitions + if not item["definition"] in definitions: + raise DefinitionMissing( + f"While resolving {instance_name}.{arg}, missing {definition_name}" + ) + item["definition"] = definitions[item["definition"]] + return source + + def _linked(self): + exported = {} + # Remove definitions from operations, just use definition name + operations = {} + for operation in self.operations.values(): + exported_operation = operation.export() + for name, definition in operation.inputs.items(): + exported_operation["inputs"][name] = definition.name + for name, definition in operation.outputs.items(): + exported_operation["outputs"][name] = definition.name + operations[operation.instance_name] = exported_operation + # Remove definitions from seed inputs, just use definition name + seed = [] + for item in self.seed: + exported_item = item.export() + exported_item["definition"] = exported_item["definition"]["name"] + seed.append(exported_item) + # Set linked exported + exported["seed"] = seed + exported["operations"] = operations + return exported diff --git a/dffml/operation/mapping.py b/dffml/operation/mapping.py new file mode 100644 index 0000000000..deb6fe19ea --- /dev/null +++ b/dffml/operation/mapping.py @@ -0,0 +1,28 @@ +from typing import Dict, List, Any + +from ..df.types import Definition +from ..df.base import op +from ..util.data import traverse_get + +MAPPING = Definition(name="mapping", primitive="map") +MAPPING_TRAVERSE = Definition(name="mapping_traverse", primitive="List[str]") +MAPPING_KEY = Definition(name="key", primitive="str") +MAPPING_VALUE = Definition(name="value", primitive="generic") + + +@op( + name="dffml.mapping.extract", + inputs={"mapping": MAPPING, "traverse": MAPPING_TRAVERSE}, + outputs={"value": MAPPING_VALUE}, +) +def mapping_extract_value(mapping: Dict[str, Any], traverse: List[str]): + return {"value": traverse_get(mapping, *traverse)} + + +@op( + name="dffml.mapping.create", + inputs={"key": MAPPING_KEY, "value": MAPPING_VALUE}, + outputs={"mapping": MAPPING}, +) +def create_mapping(key: str, value: Any): + return {"mapping": {key: value}} diff --git a/dffml/operation/output.py b/dffml/operation/output.py index 5fee8d8e65..b2b0c3d7f9 100644 --- a/dffml/operation/output.py +++ b/dffml/operation/output.py @@ -1,8 +1,8 @@ import copy import collections -from typing import Dict, Any, NamedTuple +from typing import Dict, Any, NamedTuple, List -from ..df.types import Definition, Operation, Stage +from ..df.types import Definition, Operation, Stage, DataFlow from ..df.base import ( op, OperationImplementationContext, @@ -10,15 +10,14 @@ BaseInputNetworkContext, ) from ..df.exceptions import DefinitionNotInContext +from ..util.data import traverse_get +# TODO(p3) Remove fill, it doesn't get used anyway. Or use it somehow class GroupBySpec(NamedTuple): group: Definition by: Definition fill: Any - # TODO Add single and ismap attributes - # single: bool = False - # ismap: bool = False @classmethod async def resolve( @@ -56,12 +55,12 @@ async def run(self, inputs: Dict[str, Any]) -> Dict[str, Any]: # Convert group_by_spec into a dict with values being of the NamedTuple # type GroupBySpec outputs = { - key: await GroupBySpec.resolve(self.ctx, self.ictx, value) + key: await GroupBySpec.resolve(self.ctx, self.octx.ictx, value) for key, value in inputs["spec"].items() } self.logger.debug("output spec: %s", outputs) # Acquire all definitions within the context - async with self.ictx.definitions(self.ctx) as od: + async with self.octx.ictx.definitions(self.ctx) as od: # Output dict want = {} # Group each requested output @@ -72,11 +71,11 @@ async def run(self, inputs: Dict[str, Any]) -> Dict[str, Any]: # by the values of the output.group definition as seen in the # input network context group_by = {} - async for item in od.inputs(output.group): + async for item in od.inputs(output.by): group_by[item.value] = (item, {}) group_by = collections.OrderedDict(sorted(group_by.items())) # Find all inputs within the input network for the by definition - async for item in od.inputs(output.by): + async for item in od.inputs(output.group): # Get all the parents of the input parents = list(item.get_parents()) for group, related in group_by.values(): @@ -105,11 +104,9 @@ async def run(self, inputs: Dict[str, Any]) -> Dict[str, Any]: return want -get_single_spec = Definition(name="get_single_spec", primitive="List[str]") +get_single_spec = Definition(name="get_single_spec", primitive="array") -get_single_output = Definition( - name="get_single_output", primitive="Dict[str, Any]" -) +get_single_output = Definition(name="get_single_output", primitive="map") @op( @@ -125,12 +122,12 @@ async def run(self, inputs: Dict[str, Any]) -> Dict[str, Any]: exported = copy.deepcopy(inputs["spec"]) # Look up the definiton for each for convert in range(0, len(exported)): - exported[convert] = await self.ictx.definition( + exported[convert] = await self.octx.ictx.definition( self.ctx, exported[convert] ) self.logger.debug("output spec: %s", exported) # Acquire all definitions within the context - async with self.ictx.definitions(self.ctx) as od: + async with self.octx.ictx.definitions(self.ctx) as od: # Output dict want = {} # Group each requested output @@ -162,7 +159,7 @@ async def run(self, inputs: Dict[str, Any]) -> Dict[str, Any]: # Look up the definiton for each try: for convert in range(0, len(exported)): - exported[convert] = await self.ictx.definition( + exported[convert] = await self.octx.ictx.definition( self.ctx, exported[convert] ) except DefinitionNotInContext: @@ -170,7 +167,7 @@ async def run(self, inputs: Dict[str, Any]) -> Dict[str, Any]: # Make exported into key, value which it will be in output key, value = exported # Acquire all definitions within the context - async with self.ictx.definitions(self.ctx) as od: + async with self.octx.ictx.definitions(self.ctx) as od: # Output dict want = {} async for item in od.inputs(value): @@ -180,3 +177,51 @@ async def run(self, inputs: Dict[str, Any]) -> Dict[str, Any]: want[parent.value] = item.value break return {value.name: want} + + +class RemapConfig(NamedTuple): + dataflow: DataFlow + + @classmethod + def _fromdict(cls, **kwargs): + kwargs["dataflow"] = DataFlow._fromdict(**kwargs["dataflow"]) + return cls(**kwargs) + + +class RemapFailure(Exception): + """ + Raised whem results of a dataflow could not be remapped. + """ + + +# TODO Make it so that only one output operation gets run, the result of that +# operation is the result of the dataflow +@op( + inputs={"spec": Definition(name="remap_spec", primitive="map")}, + outputs={"response": Definition(name="remap_output", primitive="map")}, + stage=Stage.OUTPUT, + config_cls=RemapConfig, +) +async def remap( + self: OperationImplementationContext, spec: Dict[str, List[str]] +): + # Create a new orchestrator context. Specify that it should use the existing + # input set context, this way the output operations we'll be running have + # access to the data from this data flow rather than a new sub flow. + async with self.octx.parent( + self.config.dataflow, ictx=self.octx.ictx + ) as octx: + _ctx, result = [result async for result in octx.run(ctx=self.ctx)][0] + # Remap the output operations to their feature (copied logic + # from CLI) + remap = {} + for (feature_name, traverse) in spec.items(): + try: + remap[feature_name] = traverse_get(result, *traverse) + except KeyError as error: + raise RemapFailure( + "failed to remap %r. Results do not contain %r: %s" + % (feature_name, ".".join(traverse), result) + ) from error + # Results have been remapped + return remap diff --git a/dffml/repo.py b/dffml/repo.py index ee44d7c958..dd6750f369 100644 --- a/dffml/repo.py +++ b/dffml/repo.py @@ -129,12 +129,7 @@ def __init__( self.extra = extra def dict(self): - # TODO Remove dict method in favor of export - warnings.warn( - "dict method will be removed in favor of export", - DeprecationWarning, - stacklevel=2, - ) + # TODO(p2) Remove dict method in favor of export return self.export() def export(self): diff --git a/dffml/service/dev.py b/dffml/service/dev.py index 211e7142d9..87c8d39d49 100644 --- a/dffml/service/dev.py +++ b/dffml/service/dev.py @@ -3,23 +3,28 @@ import uuid import json import pydoc +import hashlib import getpass import importlib import configparser import pkg_resources from pathlib import Path +from ..base import BaseConfig from ..util.skel import Skel from ..util.cli.cmd import CMD from ..version import VERSION from ..util.skel import Skel, SkelTemplateConfig from ..util.cli.arg import Arg from ..util.cli.cmd import CMD +from ..util.entrypoint import load from ..base import MissingConfig from ..util.data import traverse_config_get -from ..df.types import Input +from ..df.types import Input, DataFlow, Stage from ..df.base import Operation from ..df.memory import MemoryOrchestrator +from ..config.config import BaseConfigLoader +from ..config.json import JSONConfigLoader from ..operation.output import GetSingle config = configparser.ConfigParser() @@ -104,6 +109,7 @@ class Create(CMD): operations = create_from_skel("operations") service = create_from_skel("service") source = create_from_skel("source") + config = create_from_skel("config") class Link(CMD): @@ -227,6 +233,179 @@ class Entrypoints(CMD): _list = ListEntrypoints +class Diagram(CMD): + + arg_stages = Arg( + "-stages", + help="Which stages to display: (processing, cleanup, output)", + nargs="+", + default=[], + required=False, + ) + arg_simple = Arg( + "-simple", + help="Don't display input and output names", + default=False, + action="store_true", + required=False, + ) + arg_display = Arg( + "-display", + help="How to display (TD: top down, LR, RL, BT)", + default="TD", + required=False, + ) + arg_dataflow = Arg("dataflow", help="File containing exported DataFlow") + arg_config = Arg( + "-config", + help="ConfigLoader to use for importing", + type=BaseConfigLoader.load, + default=None, + ) + + async def run(self): + dataflow_path = Path(self.dataflow) + config_cls = self.config + if config_cls is None: + config_type = dataflow_path.suffix.replace(".", "") + config_cls = BaseConfigLoader.load(config_type) + async with config_cls.withconfig(self.extra_config) as configloader: + async with configloader() as loader: + exported = await loader.loadb(dataflow_path.read_bytes()) + dataflow = DataFlow._fromdict(**exported) + print(f"graph {self.display}") + for stage in Stage: + # Skip stage if not wanted + if self.stages and stage.value not in self.stages: + continue + stage_node = hashlib.md5( + ("stage." + stage.value).encode() + ).hexdigest() + if len(self.stages) != 1: + print(f"subgraph {stage_node}[{stage.value.title()} Stage]") + print(f"style {stage_node} fill:#afd388b5,stroke:#a4ca7a") + for instance_name, operation in dataflow.operations.items(): + if operation.stage != stage: + continue + subgraph_node = hashlib.md5( + ("subgraph." + instance_name).encode() + ).hexdigest() + node = hashlib.md5(instance_name.encode()).hexdigest() + if not self.simple: + print(f"subgraph {subgraph_node}[{instance_name}]") + print(f"style {subgraph_node} fill:#fff4de,stroke:#cece71") + print(f"{node}[{operation.instance_name}]") + for input_name in operation.inputs.keys(): + input_node = hashlib.md5( + ("input." + instance_name + "." + input_name).encode() + ).hexdigest() + if not self.simple: + print(f"{input_node}({input_name})") + print(f"{input_node} --> {node}") + for output_name in operation.outputs.keys(): + output_node = hashlib.md5( + ( + "output." + instance_name + "." + output_name + ).encode() + ).hexdigest() + if not self.simple: + print(f"{output_node}({output_name})") + print(f"{node} --> {output_node}") + if not self.simple: + print(f"end") + if len(self.stages) != 1: + print(f"end") + if len(self.stages) != 1: + print(f"subgraph inputs[Inputs]") + print(f"style inputs fill:#f6dbf9,stroke:#a178ca") + for instance_name, input_flow in dataflow.flow.items(): + operation = dataflow.operations[instance_name] + if self.stages and not operation.stage.value in self.stages: + continue + node = hashlib.md5(instance_name.encode()).hexdigest() + for input_name, sources in input_flow.inputs.items(): + for source in sources: + # TODO Put various sources in their own "Inputs" subgraphs + if isinstance(source, str): + input_definition = operation.inputs[input_name] + seed_input_node = hashlib.md5( + (source + "." + input_definition.name).encode() + ).hexdigest() + print(f"{seed_input_node}({input_definition.name})") + if len(self.stages) == 1: + print( + f"style {seed_input_node} fill:#f6dbf9,stroke:#a178ca" + ) + if not self.simple: + input_node = hashlib.md5( + ( + "input." + instance_name + "." + input_name + ).encode() + ).hexdigest() + print(f"{seed_input_node} --> {input_node}") + else: + print(f"{seed_input_node} --> {node}") + else: + if not self.simple: + source_output_node = hashlib.md5( + ( + "output." + + ".".join(list(source.items())[0]) + ).encode() + ).hexdigest() + input_node = hashlib.md5( + ( + "input." + instance_name + "." + input_name + ).encode() + ).hexdigest() + print(f"{source_output_node} --> {input_node}") + else: + source_operation_node = hashlib.md5( + list(source.keys())[0].encode() + ).hexdigest() + print(f"{source_operation_node} --> {node}") + if len(self.stages) != 1: + print(f"end") + + +class Export(CMD): + + arg_config = Arg( + "-config", + help="ConfigLoader to use", + type=BaseConfigLoader.load, + default=JSONConfigLoader, + ) + arg_not_linked = Arg( + "-not-linked", + dest="not_linked", + help="Do not export dataflows as linked", + default=False, + action="store_true", + ) + arg_export = Arg("export", help="Python path to object to export") + + async def run(self): + async with self.config(BaseConfig()) as configloader: + async with configloader() as loader: + for obj in load(self.export, relative=os.getcwd()): + self.logger.debug("Loaded %s: %s", self.export, obj) + if isinstance(obj, DataFlow): + sys.stdout.buffer.write( + await loader.dumpb( + obj.export(linked=not self.not_linked) + ) + ) + elif hasattr(obj, "export"): + sys.stdout.buffer.write( + await loader.dumpb(obj.export()) + ) + elif hasattr(obj, "_asdict"): + sys.stdout.buffer.write( + await loader.dumpb(obj._asdict()) + ) + + class Develop(CMD): """ Development utilities for hacking on DFFML itself @@ -235,4 +414,6 @@ class Develop(CMD): create = Create skel = Skeleton run = Run + diagram = Diagram + export = Export entrypoints = Entrypoints diff --git a/dffml/skel/.gitignore b/dffml/skel/.gitignore index 1bd63fb8a7..c51eeb38ac 100644 --- a/dffml/skel/.gitignore +++ b/dffml/skel/.gitignore @@ -1,7 +1,7 @@ */LICENSE */.gitignore */.coveragerc -*/dffml_setup_common.py +*/setup_common.py */pyproject.toml */MANIFEST.in */REPLACE_IMPORT_PACKAGE_NAME/version.py diff --git a/dffml/skel/common/MANIFEST.in b/dffml/skel/common/MANIFEST.in index 04f196ac78..19f3196490 100644 --- a/dffml/skel/common/MANIFEST.in +++ b/dffml/skel/common/MANIFEST.in @@ -1,2 +1,3 @@ include README.md include LICENSE +include setup_common.py diff --git a/dffml/skel/common/dffml_setup_common.py b/dffml/skel/common/setup_common.py similarity index 99% rename from dffml/skel/common/dffml_setup_common.py rename to dffml/skel/common/setup_common.py index fa62d8e6d1..e1e5cbe9c4 100644 --- a/dffml/skel/common/dffml_setup_common.py +++ b/dffml/skel/common/setup_common.py @@ -50,7 +50,7 @@ README = Path(SELF_PATH, "README.md").read_text() -SETUP_KWARGS = dict( +KWARGS = dict( name=NAME, version=VERSION, description=DESCRIPTION, diff --git a/dffml/skel/config/README.md b/dffml/skel/config/README.md new file mode 100644 index 0000000000..c408b808d8 --- /dev/null +++ b/dffml/skel/config/README.md @@ -0,0 +1,10 @@ +# DFFML Config for REPLACE_PACKAGE_NAME + +## About + +REPLACE_PACKAGE_DESCRIPTION + +## License + +REPLACE_PACKAGE_NAME Models are distributed under the terms of the +[MIT License](LICENSE). diff --git a/dffml/skel/config/REPLACE_IMPORT_PACKAGE_NAME/config.py b/dffml/skel/config/REPLACE_IMPORT_PACKAGE_NAME/config.py new file mode 100644 index 0000000000..e4b424ec97 --- /dev/null +++ b/dffml/skel/config/REPLACE_IMPORT_PACKAGE_NAME/config.py @@ -0,0 +1,31 @@ +""" +Description of what this config does +""" +import ast +from typing import Dict, Any + +from dffml.util.entrypoint import entry_point +from dffml.util.cli.arg import Arg +from dffml.base import BaseConfig +from dffml.config.config import BaseConfigLoaderContext, BaseConfigLoader + + +class MiscConfigLoaderContext(BaseConfigLoaderContext): + async def loadb(self, resource: bytes) -> Dict: + return ast.literal_eval(resource.decode()) + + async def dumpb(self, resource: Dict) -> bytes: + return repr(resource).encode() + + +@entry_point("misc") +class MiscConfigLoader(BaseConfigLoader): + CONTEXT = MiscConfigLoaderContext + + @classmethod + def args(cls, args, *above) -> Dict[str, Arg]: + return args + + @classmethod + def config(cls, config, *above) -> BaseConfig: + return BaseConfig() diff --git a/dffml/skel/config/setup.py b/dffml/skel/config/setup.py new file mode 100644 index 0000000000..61acf22292 --- /dev/null +++ b/dffml/skel/config/setup.py @@ -0,0 +1,16 @@ +import os +import importlib.util +from setuptools import setup + +# Boilerplate to load commonalities +spec = importlib.util.spec_from_file_location( + "setup_common", os.path.join(os.path.dirname(__file__), "setup_common.py") +) +common = importlib.util.module_from_spec(spec) +spec.loader.exec_module(common) + +common.KWARGS["entry_points"] = { + "dffml.config": [f"misc = {common.IMPORT_NAME}.config:MiscConfigLoader"] +} + +setup(**common.KWARGS) diff --git a/dffml/skel/config/tests/test_config.py b/dffml/skel/config/tests/test_config.py new file mode 100644 index 0000000000..6092af2017 --- /dev/null +++ b/dffml/skel/config/tests/test_config.py @@ -0,0 +1,12 @@ +from dffml.util.asynctestcase import AsyncTestCase + +from REPLACE_IMPORT_PACKAGE_NAME.config import MiscConfigLoader + + +class TestConfig(AsyncTestCase): + async def test_dumpb_loadb(self): + async with MiscConfigLoader.withconfig({}) as configloader: + async with configloader() as ctx: + original = {"Test": ["dict"]} + reloaded = await ctx.loadb(await ctx.dumpb(original)) + self.assertEqual(original, reloaded) diff --git a/dffml/skel/model/setup.py b/dffml/skel/model/setup.py index 66a38400f1..5a98d9d72b 100644 --- a/dffml/skel/model/setup.py +++ b/dffml/skel/model/setup.py @@ -1,9 +1,16 @@ +import os +import importlib.util from setuptools import setup -from dffml_setup_common import SETUP_KWARGS, IMPORT_NAME +# Boilerplate to load commonalities +spec = importlib.util.spec_from_file_location( + "setup_common", os.path.join(os.path.dirname(__file__), "setup_common.py") +) +common = importlib.util.module_from_spec(spec) +spec.loader.exec_module(common) -SETUP_KWARGS["entry_points"] = { - "dffml.model": [f"misc = {IMPORT_NAME}.misc:Misc"] +common.KWARGS["entry_points"] = { + "dffml.model": [f"misc = {common.IMPORT_NAME}.misc:Misc"] } -setup(**SETUP_KWARGS) +setup(**common.KWARGS) diff --git a/dffml/skel/operations/setup.py b/dffml/skel/operations/setup.py index 3a160411f4..939c1c1fc4 100644 --- a/dffml/skel/operations/setup.py +++ b/dffml/skel/operations/setup.py @@ -1,18 +1,20 @@ +import os +import importlib.util from setuptools import setup -from dffml_setup_common import SETUP_KWARGS, IMPORT_NAME +# Boilerplate to load commonalities +spec = importlib.util.spec_from_file_location( + "setup_common", os.path.join(os.path.dirname(__file__), "setup_common.py") +) +common = importlib.util.module_from_spec(spec) +spec.loader.exec_module(common) -SETUP_KWARGS["entry_points"] = { +common.KWARGS["entry_points"] = { "dffml.operation": [ - f"calc_add = {IMPORT_NAME}.operations:calc_add.op", - f"calc_mult = {IMPORT_NAME}.operations:calc_mult.op", - f"calc_parse_line = {IMPORT_NAME}.operations:calc_parse_line.op", - ], - "dffml.operation.implementation": [ - f"calc_add = {IMPORT_NAME}.operations:calc_add.imp", - f"calc_mult = {IMPORT_NAME}.operations:calc_mult.imp", - f"calc_parse_line = {IMPORT_NAME}.operations:calc_parse_line.imp", - ], + f"calc_add = {common.IMPORT_NAME}.operations:calc_add", + f"calc_mult = {common.IMPORT_NAME}.operations:calc_mult", + f"calc_parse_line = {common.IMPORT_NAME}.operations:calc_parse_line", + ] } -setup(**SETUP_KWARGS) +setup(**common.KWARGS) diff --git a/dffml/skel/operations/tests/test_operations.py b/dffml/skel/operations/tests/test_operations.py index 81582e7262..220ea03616 100644 --- a/dffml/skel/operations/tests/test_operations.py +++ b/dffml/skel/operations/tests/test_operations.py @@ -1,6 +1,6 @@ import sys -from dffml.df.types import Input +from dffml.df.types import Input, DataFlow from dffml.df.base import operation_in, opimp_in, Operation from dffml.df.memory import MemoryOrchestrator from dffml.operation.output import GetSingle @@ -13,28 +13,27 @@ class TestOperations(AsyncTestCase): async def test_run(self): + dataflow = DataFlow.auto(*OPIMPS) calc_strings_check = {"add 40 and 2": 42, "multiply 42 and 10": 420} - - async with MemoryOrchestrator.basic_config(*OPIMPS) as orchestrator: - async with orchestrator() as octx: - for to_calc in calc_strings_check.keys(): - await octx.ictx.sadd( - to_calc, - Input( - value=to_calc, - definition=calc_parse_line.op.inputs["line"], - ), - Input( - value=[calc_add.op.outputs["sum"].name], - definition=GetSingle.op.inputs["spec"], - ), - ) - - async for ctx, results in octx.run_operations(): + async with MemoryOrchestrator.withconfig({}) as orchestrator: + async with orchestrator(dataflow) as octx: + async for ctx, results in octx.run( + { + to_calc: [ + Input( + value=to_calc, + definition=calc_parse_line.op.inputs["line"], + ), + Input( + value=[calc_add.op.outputs["sum"].name], + definition=GetSingle.op.inputs["spec"], + ), + ] + for to_calc in calc_strings_check.keys() + } + ): ctx_str = (await ctx.handle()).as_string() self.assertEqual( calc_strings_check[ctx_str], - results[GetSingle.op.name][ - calc_add.op.outputs["sum"].name - ], + results[calc_add.op.outputs["sum"].name], ) diff --git a/dffml/skel/service/setup.py b/dffml/skel/service/setup.py index a503c2325d..9acc8d7b2a 100644 --- a/dffml/skel/service/setup.py +++ b/dffml/skel/service/setup.py @@ -1,9 +1,16 @@ +import os +import importlib.util from setuptools import setup -from dffml_setup_common import SETUP_KWARGS, IMPORT_NAME +# Boilerplate to load commonalities +spec = importlib.util.spec_from_file_location( + "setup_common", os.path.join(os.path.dirname(__file__), "setup_common.py") +) +common = importlib.util.module_from_spec(spec) +spec.loader.exec_module(common) -SETUP_KWARGS["entry_points"] = { - "dffml.service.cli": [f"misc = {IMPORT_NAME}.misc:MiscService"] +common.KWARGS["entry_points"] = { + "dffml.service.cli": [f"misc = {common.IMPORT_NAME}.misc:MiscService"] } -setup(**SETUP_KWARGS) +setup(**common.KWARGS) diff --git a/dffml/skel/source/setup.py b/dffml/skel/source/setup.py index 168370403d..e4af68462c 100644 --- a/dffml/skel/source/setup.py +++ b/dffml/skel/source/setup.py @@ -1,9 +1,16 @@ +import os +import importlib.util from setuptools import setup -from dffml_setup_common import SETUP_KWARGS, IMPORT_NAME +# Boilerplate to load commonalities +spec = importlib.util.spec_from_file_location( + "setup_common", os.path.join(os.path.dirname(__file__), "setup_common.py") +) +common = importlib.util.module_from_spec(spec) +spec.loader.exec_module(common) -SETUP_KWARGS["entry_points"] = { - "dffml.source": [f"misc = {IMPORT_NAME}.misc:Misc"] +common.KWARGS["entry_points"] = { + "dffml.source": [f"misc = {common.IMPORT_NAME}.misc:Misc"] } -setup(**SETUP_KWARGS) +setup(**common.KWARGS) diff --git a/dffml/util/cli/cmd.py b/dffml/util/cli/cmd.py index 8c71578090..c2e0b7814e 100644 --- a/dffml/util/cli/cmd.py +++ b/dffml/util/cli/cmd.py @@ -38,6 +38,10 @@ def default(self, obj): return obj.NAME elif isinstance(obj, enum.Enum): return str(obj.value) + elif isinstance(obj, type): + return str(obj.__qualname__) + elif str(obj).startswith("typing."): + return str(obj).split(".")[-1] return json.JSONEncoder.default(self, obj) @@ -90,9 +94,11 @@ class CMD(object): ) def __init__(self, extra_config=None, **kwargs) -> None: - self.logger = logging.getLogger( - "%s.%s" % (self.__class__.__module__, self.__class__.__qualname__) - ) + if not hasattr(self, "logger"): + self.logger = logging.getLogger( + "%s.%s" + % (self.__class__.__module__, self.__class__.__qualname__) + ) if extra_config is None: extra_config = {} self.extra_config = extra_config diff --git a/dffml/util/cli/cmds.py b/dffml/util/cli/cmds.py index be581328aa..cf68696dd5 100644 --- a/dffml/util/cli/cmds.py +++ b/dffml/util/cli/cmds.py @@ -18,7 +18,6 @@ from ...model import Model from ...df.types import Operation -from ...df.linker import Linker from ...df.base import ( Input, BaseInputNetwork, @@ -162,8 +161,8 @@ class BaseOrchestratorCMD(CMD): Data Flow commands """ - arg_dff = Arg( - "-dff", type=BaseOrchestrator.load, default=MemoryOrchestrator + arg_orchestrator = Arg( + "-orchestrator", type=BaseOrchestrator.load, default=MemoryOrchestrator ) arg_output_specs = Arg( "-output-specs", nargs="+", action=ParseOutputSpecsAction, default=[] @@ -184,24 +183,10 @@ class BaseOrchestratorCMD(CMD): + "If set, repo.src_url will be added to the set of inputs " + "under each context (which is also the repo's src_url)", ) - arg_remap = Arg( - "-remap", - nargs="+", - default=[], - action=ParseRemapAction, - help="For each repo, -remap output_operation_name.sub=feature_name", - ) def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) - self.dff = self.dff.withconfig(self.extra_config) - self.linker = Linker() - self.exported = self.linker.export( - *self.dff.config.operation_network.config.operations - ) - self.definitions, self.operations, _outputs = self.linker.resolve( - self.exported - ) + self.orchestrator = self.orchestrator.withconfig(self.extra_config) # Load all entrypoints which may possibly be selected. Then have them add # their arguments to the DataFlowFacilitator-tots command. diff --git a/dffml/util/data.py b/dffml/util/data.py index 775fa9793a..56ddeee9e1 100644 --- a/dffml/util/data.py +++ b/dffml/util/data.py @@ -1,6 +1,8 @@ """ Various helper functions for manipulating python data structures and values """ +import pydoc +import inspect from functools import wraps @@ -43,6 +45,18 @@ def traverse_config_get(target, *args): return last["arg"] +def traverse_get(target, *args): + """ + Travel down through a dict + >>> traverse_get({"one": {"two": 3}}, ["one", "two"]) + 3 + """ + current = target + for level in args: + current = current[level] + return current + + def ignore_args(func): """ Decorator to call the decorated function without any arguments passed to it. @@ -53,3 +67,59 @@ def wrapper(*_args, **_kwargs): return func() return wrapper + + +# STANDARD_TYPES Will be the type names which are applicable across languages +# used to transform types from one language into anothers +STANDARD_TYPES = {"Dict": "map", "List": "array", "Any": "generic"} +STANDARD_TYPES_REVERSED = dict( + zip(STANDARD_TYPES.values(), STANDARD_TYPES.keys()) +) + + +def type_lookup(typename): + if typename in STANDARD_TYPES_REVERSED: + typename = f"typing.{STANDARD_TYPES_REVERSED[typename]}" + # TODO(security) Make sure pydoc.locate won't blow up in our face ever + typeof = pydoc.locate(typename) + if typeof is None: + raise TypeError(typename) + return typeof + + +def export_value(obj, key, value): + # export and _asdict are not classmethods + if inspect.isclass(value): + obj[key] = value.__qualname__ + elif hasattr(value, "export"): + obj[key] = value.export() + elif hasattr(value, "_asdict"): + obj[key] = value._asdict() + elif getattr(value, "__module__", None) == "typing": + obj[key] = STANDARD_TYPES.get( + str(value).replace("typing.", ""), "generic" + ) + + +def export_list(iterable): + for i, value in enumerate(iterable): + export_value(iterable, i, value) + if isinstance(iterable[i], dict): + iterable[i] = export_dict(**iterable[i]) + elif isinstance(value, list): + iterable[i] = export_list(iterable[i]) + return iterable + + +def export_dict(**kwargs): + """ + Return the dict given as kwargs but first recurse into each element and call + its export or _asdict function if it is not a serializable type. + """ + for key, value in kwargs.items(): + export_value(kwargs, key, value) + if isinstance(kwargs[key], dict): + kwargs[key] = export_dict(**kwargs[key]) + elif isinstance(kwargs[key], list): + kwargs[key] = export_list(kwargs[key]) + return kwargs diff --git a/dffml/util/entrypoint.py b/dffml/util/entrypoint.py index ecefdd8058..7ee4f1d03b 100644 --- a/dffml/util/entrypoint.py +++ b/dffml/util/entrypoint.py @@ -4,11 +4,14 @@ Loader subclasses know how to load classes under their entry point which conform to their subclasses. """ +import os import sys import copy +import pathlib +import importlib import traceback import pkg_resources -from typing import List, Dict +from typing import List, Dict, Union, Optional, Iterator, Any class EntrypointNotFound(Exception): @@ -19,6 +22,32 @@ class MissingLabel(Exception): pass # pragma: no cover +def load( + *args: str, relative: Optional[Union[str, pathlib.Path]] = None +) -> Iterator[Any]: + """ + Load objects given the entrypoint formatted path to the object. Roughly how + the python stdlib docs say entrypoint loading works. + """ + # Push current directory into front of path so we can run things + # relative to where we are in the shell + if relative is not None: + if relative == True: + relative = os.getcwd() + # str() in case of Path object + sys.path.insert(0, str(relative)) + try: + for entry in args: + modname, qualname_separator, qualname = entry.partition(":") + obj = importlib.import_module(modname) + for attr in qualname.split("."): + obj = getattr(obj, attr) + yield obj + finally: + if relative is not None: + sys.path.pop() + + def entry_point(label): """ If a class if going to be registered with setuptools as an entry_point it diff --git a/dffml/version.py b/dffml/version.py index 40ae17f0c5..16b7e06164 100644 --- a/dffml/version.py +++ b/dffml/version.py @@ -7,4 +7,4 @@ Version of DFFML """ -VERSION = "0.2.1" +VERSION = "0.3.0" diff --git a/docs/about.rst b/docs/about.rst index 1213e6ba56..ed14dbd631 100644 --- a/docs/about.rst +++ b/docs/about.rst @@ -11,7 +11,8 @@ This project is for your if: for, so you need to generate it. - You want to harness the power of directed graph execution to write testable, - maintainable code. + maintainable code that runs concurrently or in parallel without the need for + you to deal with locking. Machine Learning ---------------- @@ -41,7 +42,8 @@ instance). All the data generated by running these operations is queriable, allowing us to structure the output in whatever way is most fitting for our application. -.. image:: /images/shouldi-dataflow.png +.. image:: /images/shouldi-dataflow.svg + :alt: DataFlow for shouldi tool Consistant API -------------- @@ -70,8 +72,8 @@ own plugins. Team ---- -We have a team of volunteers working on the project. We hold weekly meetings -and have a mailing list and chat. If you want to get involved, ask questions, or +We have an awesome team working on the project. We hold weekly meetings +and have a mailing list and chat! If you want to get involved, ask questions, or get help getting started, see :doc:`community`. We participated in Google Summer of Code 2019 under the Python Software @@ -88,4 +90,4 @@ using DFFML, see the :doc:`community` page. - Intel - - Open Source Software dependency security viability analysis + - Security analysis of Open Source Software dependencies. diff --git a/docs/cli.rst b/docs/cli.rst new file mode 100644 index 0000000000..0c4577a535 --- /dev/null +++ b/docs/cli.rst @@ -0,0 +1,187 @@ +Command Line +============ + +Almost anything you can get done with the Python API you can get done with the +command line interface too (and HTTP API). + +There are many more commands than what is listed here. Use the ``-h`` flag to +see them all. + +.. contents:: Command Line Interface + +Model +----- + +Train, asses accuracy, and use models for prediction. See the +plugin docs for :doc:`/plugins/dffml_model` for usage. + +DataFlow +-------- + +Create, modify, run, and visualize DataFlows. + +Create +~~~~~~ + +Ouput the dataflow description to standard output using the specified config +format. + +.. code-block:: console + + $ dffml dataflow create -config yaml get_single clone_git_repo > df.yaml + +Merge +~~~~~ + +Combine two dataflows into one. Dataflows must either be all linked or all not +linked. + +.. code-block:: console + + $ dffml dataflow merge base.yaml overrides.yaml + +Run +~~~ + +Ouput the dataflow description to standard output using the specified config +format. + +The ``-no-strict`` flag tell DFFML not to exit if one key fails, continue +running the dataflow until everything is complete, useful for error prone +scraping tasks. + +.. code-block:: console + + $ dffml dataflow run repos set \ + -keys https://github.com/intel/dffml \ + -repo-def URL \ + -dataflow df.yaml \ + -sources gathered=json \ + -source-filename /tmp/data.json \ + -no-strict + +Diagram +~~~~~~~ + +Output a mermaidjs graph description of a DataFlow. + +.. code-block:: console + + $ dffml dataflow diagram -simple shouldi.json + +You can now copy the graph description and paste it in the +`mermaidjs live editor `_ (or +use the CLI tool) to generate an SVG or other format of the graph. + +Config +------ + +.. _cli_config_convert: + +Convert +~~~~~~~ + +Convert one config file format into another. + +.. code-block:: console + + $ dffml config convert -config-out yaml config_in.json + +Service +------- + +Services are various command line utilities that are associated with DFFML. + +For a complete list of services maintained within the core codebase see the +:doc:`/plugins/dffml_service_cli` plugin docs. + +HTTP +~~~~ + +Everything you can do via the Python library or command line interface you can +also do over an HTTP interface. See the +:doc:`/plugins/service/http/index` docs for more information. + +Dev +~~~ + +Development utilities for creating new packages or hacking on the core codebase. + +Export +++++++ + +Given the +`entrypoint `_ +of an object, covert the object to it's ``dict`` representation, and export it +using the given config format. + +.. code-block:: console + + $ dffml service dev export -config json shouldi.cli:DATAFLOW + +.. _cli_service_dev_create: + +Create +++++++ + +You can create a new python package and start implementing a new plugin for +DFFML right away with the ``create`` command of ``dev``. + +.. code-block:: console + + $ dffml service dev create model cool-ml-model + $ cd cool-ml-model + $ python setup.py test + +When you're done you can upload it to PyPi and it'll be ``pip`` installable so +that other DFFML users can use it in their code or via the CLI. If you don't +want to mess with uploading to ``PyPi``, you can install it from your git repo +(wherever it may be that you upload it to). + +.. code-block:: console + + $ python -m pip install -U git+https://github.com/user/cool-ml-model + +Make sure to look in ``setup.py`` and edit the ``entry_points`` to match +whatever you've edited. This way whatever you make will be usable by others +within the DFFML CLI and HTTP API as soon as they ``pip`` install your package, +nothing else required. + +Entrypoints ++++++++++++ + +DFFML makes heavy use of the Python +`entrypoint `_ +system. The following tools will help you with development and use of the +entrypoints system. + +List +____ + +Sometimes you'll find that you've installed a package in development +mode, but the code that's being run when your using the CLI or HTTP API isn't +the code you've made modifications to, but instead it seems to be the latest +released version. That's because if the latest released version is installed, +the development mode source will be ignored by Python. + +If you face this problem the first thing you'll want to do is identify the +entrypoint your plugin is being loaded from. Then you'll want to run this +command giving it that entrypoint. It will list all the registered plugins for +that entrypoint, along with the location of the source code being used. + +In the following example, we see that the ``is_binary_pie`` operation registered +under the ``dffml.operation`` entrypoint is using the source from the +``site-packages`` directory. When you see ``site-packages`` you'll know that the +development version is not the one being used! That's the location where release +packages get installed. You'll want to remove the directory (and ``.dist-info`` +directory) of the package name you don't want to used the released version of +from the ``site-packages`` directory. Then Python will start using the +development version (provided you have installed that source with the ``-e`` +flag to ``pip install``). + +.. code-block:: console + + $ dffml service dev entrypoints list dffml.operation + is_binary_pie = dffml_operations_binsec.operations:is_binary_pie.op -> dffml-operations-binsec 0.0.1 (/home/user/.pyenv/versions/3.7.2/lib/python3.7/site-packages) + pypi_package_json = shouldi.pypi:pypi_package_json -> shouldi 0.0.1 (/home/user/Documents/python/dffml/examples/shouldi) + clone_git_repo = dffml_feature_git.feature.operations:clone_git_repo -> dffml-feature-git 0.2.0 (/home/user/Documents/python/dffml/feature/git) diff --git a/docs/images/BSidesPDX_2019_Down_The_Dependency_Rabbit_Hole.pdf b/docs/images/BSidesPDX_2019_Down_The_Dependency_Rabbit_Hole.pdf new file mode 100644 index 0000000000000000000000000000000000000000..8c3689704359c101aede7359aa9b264130b3a130 GIT binary patch literal 1328071 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    lines_of_code_to_comments
    lines_of_code_by_language
    lines_of_code_to_comments
    langs
    code_to_comment_ratio
    lines_of_code_by_language
    repo
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    lines_of_code_by_language
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    pypi_package_json
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    Inputs
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     \ No newline at end of file diff --git a/docs/index.rst b/docs/index.rst index 7610de666e..1bec8af2eb 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -51,8 +51,10 @@ include some sources, models, and operations as a part of the main package, tutorials/index usage/index plugins/index + cli plugins/service/http/index api/index + publications Indices and tables ================== diff --git a/docs/installation.rst b/docs/installation.rst index 567973c89f..b0661465dc 100644 --- a/docs/installation.rst +++ b/docs/installation.rst @@ -31,6 +31,17 @@ can also use to get started working with DFFML right away. .. image:: https://gitpod.io/button/open-in-gitpod.svg :target: https://gitpod.io/#https://github.com/intel/dffml +Ubuntu +------ + +For Ubuntu 18.XX python3 means Python 3.6 so far as ``apt`` is concerend. +However, ``python3-pip`` works for all 3.X versions. So you'll need to install +the following packages to get ``python3.7`` with ``pip``. + +.. code-block:: console + + $ sudo apt-get update && sudo apt-get install -y python3.7 python3-pip + Docker ------ diff --git a/docs/plugins/dffml_operation_implementation.rst b/docs/plugins/dffml_operation.rst similarity index 79% rename from docs/plugins/dffml_operation_implementation.rst rename to docs/plugins/dffml_operation.rst index 7c2a8855b6..aaacdea67b 100644 --- a/docs/plugins/dffml_operation_implementation.rst +++ b/docs/plugins/dffml_operation.rst @@ -1,10 +1,14 @@ -Operation Implementations -========================= +Operations +========== Operations Implementations are subclasses of :class:`dffml.df.base.OperationImplementation`, they are functions or classes which could do anything, make HTTP requests, do inference, etc. +They don't necessarily have to be written in Python. Although DFFML isn't quite +to the point where it can use operations written in other languages yet, it's on +the roadmap. + dffml ----- @@ -32,6 +36,46 @@ No description - output: associate_output(type: Dict[str, Any]) +dffml.mapping.create +~~~~~~~~~~~~~~~~~~~~ + +*Core* + +No description + +**Stage: processing** + + + +**Inputs** + +- key: key(type: str) +- value: value(type: generic) + +**Outputs** + +- mapping: mapping(type: map) + +dffml.mapping.extract +~~~~~~~~~~~~~~~~~~~~~ + +*Core* + +No description + +**Stage: processing** + + + +**Inputs** + +- mapping: mapping(type: map) +- traverse: mapping_traverse(type: List[str]) + +**Outputs** + +- value: value(type: generic) + get_single ~~~~~~~~~~ @@ -45,11 +89,11 @@ No description **Inputs** -- spec: get_single_spec(type: List[str]) +- spec: get_single_spec(type: array) **Outputs** -- output: get_single_output(type: Dict[str, Any]) +- output: get_single_output(type: map) group_by ~~~~~~~~ @@ -116,6 +160,9 @@ No description - repo: git_repository(type: Dict[str, str]) + - URL: str + - directory: str + clone_git_repo ~~~~~~~~~~~~~~ @@ -135,6 +182,9 @@ No description - repo: git_repository(type: Dict[str, str]) + - URL: str + - directory: str + **Conditions** - valid_git_repository_URL: boolean @@ -172,6 +222,9 @@ No description **Inputs** - repo: git_repository(type: Dict[str, str]) + + - URL: str + - directory: str - branch: git_branch(type: str) - start_end: date_pair(type: List[date]) @@ -193,6 +246,9 @@ No description **Inputs** - repo: git_repository(type: Dict[str, str]) + + - URL: str + - directory: str - branch: git_branch(type: str) - start_end: date_pair(type: List[date]) @@ -214,12 +270,19 @@ No description **Inputs** - repo: git_repository(type: Dict[str, str]) + + - URL: str + - directory: str - commit: git_commit(type: string) **Outputs** - repo: git_repository_checked_out(type: Dict[str, str]) + - URL: str + - directory: str + - commit: str + git_repo_commit_from_date ~~~~~~~~~~~~~~~~~~~~~~~~~ @@ -234,6 +297,9 @@ No description **Inputs** - repo: git_repository(type: Dict[str, str]) + + - URL: str + - directory: str - branch: git_branch(type: str) - date: date(type: string) @@ -256,6 +322,9 @@ No description - repo: git_repository(type: Dict[str, str]) + - URL: str + - directory: str + **Outputs** - branch: git_branch(type: str) @@ -269,7 +338,7 @@ git_repo_release *Core* -No description +Was there a release within this date range **Stage: processing** @@ -278,6 +347,9 @@ No description **Inputs** - repo: git_repository(type: Dict[str, str]) + + - URL: str + - directory: str - branch: git_branch(type: str) - start_end: date_pair(type: List[date]) @@ -300,6 +372,10 @@ No description - repo: git_repository_checked_out(type: Dict[str, str]) + - URL: str + - directory: str + - commit: str + **Outputs** - lines_by_language: lines_by_language_count(type: Dict[str, Dict[str, int]]) @@ -363,125 +439,6 @@ No description - work: work_spread(type: int) -dffml_operations_binsec ------------------------ - -.. code-block:: console - - pip install dffml-operations-binsec - - -cleanup_rpm -~~~~~~~~~~~ - -*Core* - -No description - -**Stage: cleanup** - - - -**Inputs** - -- rpm: RPMObject(type: python_obj) - -files_in_rpm -~~~~~~~~~~~~ - -*Core* - -No description - -**Stage: processing** - - - -**Inputs** - -- rpm: RPMObject(type: python_obj) - -**Outputs** - -- files: rpm_filename(type: str) - -is_binary_pie -~~~~~~~~~~~~~ - -*Core* - -No description - -**Stage: processing** - - - -**Inputs** - -- rpm: RPMObject(type: python_obj) -- filename: rpm_filename(type: str) - -**Outputs** - -- is_pie: binary_is_PIE(type: bool) - -url_to_urlbytes -~~~~~~~~~~~~~~~ - -*Core* - -No description - -**Stage: processing** - - - -**Inputs** - -- URL: URL(type: string) - -**Outputs** - -- download: URLBytes(type: python_obj) - -urlbytes_to_rpmfile -~~~~~~~~~~~~~~~~~~~ - -*Core* - -No description - -**Stage: processing** - - - -**Inputs** - -- download: URLBytes(type: python_obj) - -**Outputs** - -- rpm: RPMObject(type: python_obj) - -urlbytes_to_tarfile -~~~~~~~~~~~~~~~~~~~ - -*Core* - -No description - -**Stage: processing** - - - -**Inputs** - -- download: URLBytes(type: python_obj) - -**Outputs** - -- rpm: RPMObject(type: python_obj) - dffml_feature_auth ------------------ diff --git a/docs/plugins/dffml_service_cli.rst b/docs/plugins/dffml_service_cli.rst index b6808640c4..2657de597c 100644 --- a/docs/plugins/dffml_service_cli.rst +++ b/docs/plugins/dffml_service_cli.rst @@ -14,29 +14,6 @@ Services. It also helps developers hack on DFFML itself. $ dffml service -h -You can create a new python package and start implementing a new plugin for -DFFML right away with the ``create`` command of ``dev``. - -.. code-block:: console - - $ dffml service dev create model cool-ml-model - $ cd cool-ml-model - $ python setup.py test - -When you're done you can upload it to PyPi and it'll be ``pip`` installable so -that other DFFML users can use it in their code or via the CLI. If you don't -want to mess with uploading to ``PyPi``, you can install it from your git repo -(wherever it may be that you upload it to). - -.. code-block:: console - - $ python -m pip install -U git+https://github.com/user/cool-ml-model - -Make sure to look in ``setup.py`` and edit the ``entry_points`` to match -whatever you've edited. This way whatever you make will be usable by others -within the DFFML CLI (eventually HTTP API and others) as soon as they ``pip`` -install your package, nothing else required. - dffml ----- diff --git a/docs/plugins/dffml_source.rst b/docs/plugins/dffml_source.rst index 4eaea531c1..aba5826c77 100644 --- a/docs/plugins/dffml_source.rst +++ b/docs/plugins/dffml_source.rst @@ -75,4 +75,56 @@ Stores repos in a dict in memory - keys: List of strings - - default: [] \ No newline at end of file + - default: [] + +dffml_source_mysql +------------------ + +.. code-block:: console + + pip install dffml-source-mysql + + +mysql +~~~~~ + +*Core* + +No description + +**Args** + +- host: String + + - default: 127.0.0.1 + +- port: Integer + + - default: 3306 + +- user: String + +- password: String + +- db: String + +- repos-query: String + + - SELECT `key` as src_url, data_1 as feature_1, data_2 as feature_2 FROM repo_data + +- repo-query: String + + - SELECT `key` as src_url, data_1 as feature_1, data_2 as feature_2 FROM repo_data WHERE `key`=%s + +- update-query: String + + - INSERT INTO repo_data (`key`, data_1, data_2) VALUES(%s, %s, %s) ON DUPLICATE KEY UPDATE data_1 = %s, data_2=%s + +- model-columns: List of strings + + - Order of Columns in table + +- ca: String + + - default: None + - Path to server TLS certificate \ No newline at end of file diff --git a/docs/plugins/index.rst b/docs/plugins/index.rst index f4a6d7de30..ec6cb0e2a0 100644 --- a/docs/plugins/index.rst +++ b/docs/plugins/index.rst @@ -15,5 +15,5 @@ open an `issue + +Poster Presentations +-------------------- + +`Yash Lamba` + +Presentation of work done over Google Summer of Code 2019 working on adding new +machine learning models to DFFML. + +.. raw:: html + + + +Papers +------ + +Theory, Operation, and Application of Neural Networks +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + + +`John Andersen` + +This paper examines the history and current state of machine learning. It +examines neural networks, theory behind neural networks, how they are +implemented, and how they are used. The systems and networks examined have up to +three modes of learning. Theory behind machine learning is broken up into three +approaches; rule-based, Bayesian, and neural networks. Operation of machine +learning algorithms has been enabled by several prevalent libraries in the open +source community, as well as various hardware technologies. Due to this surge in +resources application developers have been able to apply machine learning in +novel ways. An application of machine learning to evaluate the security +practices of open source software was undertaken as the culmination of this +thesis. + +.. raw:: html + + diff --git a/docs/tutorials/index.rst b/docs/tutorials/index.rst index 30ff61dbea..a4f0553e59 100644 --- a/docs/tutorials/index.rst +++ b/docs/tutorials/index.rst @@ -9,5 +9,6 @@ or operations. :caption: Contents: intro - source + operations model + source diff --git a/docs/tutorials/intro.rst b/docs/tutorials/intro.rst index a0421d83d5..74171d4af9 100644 --- a/docs/tutorials/intro.rst +++ b/docs/tutorials/intro.rst @@ -9,9 +9,17 @@ DFFML triangle. - :ref:`intro_models` abstract implementations of machine learning algorithms. -- The :ref:`intro_data_flow` side of things is used to generate a dataset, as well as +- :ref:`intro_data_flow` are used to generate a datasets, as well as modify existing datasets. +Every part of DFFML is a plugin, which means that you can replace it with your +own implementation without needing to modifying DFFML itself. It also means +everyone can use each others plugins by publishing them to PyPi, or just +creating a public Git repo. + +If you don't see the plugin you need already implemented under +:doc:`/plugins/index`, you can :ref:`cli_service_dev_create` it yourself. + .. _intro_sources: Sources @@ -20,8 +28,8 @@ Sources A ``Source`` of data might be something like a CSV file, SQL database, or HDFS. By providing a generic abstraction around where data is being saved and stored, -model implementations can access the data via the same API no matter where it is -stored. +model implementations can access the data via the same API no matter where it +is. Repos ~~~~~ @@ -30,6 +38,15 @@ A common construct within DFFML is the ``Repo``. A ``Repo`` object is a repository of information associated with a unique key. The ``Repo`` holds all the data associated with that key. +.. note:: + + DFFML started as a project centred around Git repos. As such, the unique key + for a Git repo was the upstream source URL. ``src_url`` was used as the + parameter to hold the unique key. + + Issue `#233 `_ is tracking the + need to change all instances of ``Repo.src_url`` to ``Repo.key``. + Say for instance you generated a dataset that had to do with cities. Your unique key might be the name of the city, the state or province it's in, and the country it's in. For example: ``Portland, OR, USA``. @@ -61,13 +78,13 @@ implementing with one major framework to another is painless. .. _intro_data_flow: -Data Flow +DataFlows --------- One can think of the data flow side of DFFML as a event loop running at a high level of abstraction. Event loop usually refers to waiting for ``read``, ``write``, and ``error`` events on network connections, files, or if you're in -JavaScript, a click on the page for instance. +JavaScript, it might be a click. The idea behind event loops is that when a new event comes in, it triggers some processing of the data associated with that event. @@ -82,7 +99,7 @@ running concurrently. In addition to running concurrently, ``asyncio``, which DFFML makes heavy use of, makes it easy to run things in parallel, so as to fully utilize a CPUs cores and threads. -The following are the key concepts relating to data flow. +The following are the key concepts relating to DataFlows. Definition ~~~~~~~~~~ @@ -90,14 +107,15 @@ Definition The name of the data type, and what it's primitive is. Primitive meaning is it a string, integer, float, etc. -If a piece of data created or used of this data type needs to be locked. The +If a piece of data created or used of this data type needs to be locked, the definition will also specify that (``lock=True``). Operation ~~~~~~~~~ -A name associated with some routine or function that will process some input -data and produce some output data. +The definition of some routine or function that will process some input +data and produce some output data. It contains the names of the inputs and +outputs, what stage the operation runs in, and the name of the operation. Stage ~~~~~ @@ -124,6 +142,11 @@ Operation Implementation The routine or function responsible for preforming an Operation. +We separate the concept of an operation from its implementation because the goal +is to allow for transparent execution of operations written in other languages, +deployed as micro services, or parts of SaaS APIs. Transparent from the view of +the DataFlow which defines the interconnections between operations. + Input Network ~~~~~~~~~~~~~ @@ -148,14 +171,17 @@ Redundancy Checker ~~~~~~~~~~~~~~~~~~ Checks if an operation has been called before with a given set of input -parameters. +parameters. This is used because a DataFlow runs by executing all possible +permutations of inputs for any given operation, and completes when no new +permutations of inputs exist for every operation. Lock Network ~~~~~~~~~~~~ -Manges locking for Inputs. +Manges locking of input data so that operations can run concurrently without +managing their own resource locking. Orchestrator ~~~~~~~~~~~~ -All data flow objects are utilized via an Orchestrator +The orchestrator uses the various networks to execute dataflows. diff --git a/docs/tutorials/model.rst b/docs/tutorials/model.rst index edc0173406..0a7b2537dc 100644 --- a/docs/tutorials/model.rst +++ b/docs/tutorials/model.rst @@ -16,9 +16,16 @@ For this tutorial we'll be implementing our own machine learning algorithm from scratch, which means that we're not using a machine learning focused library to handle calculations for us. +.. warning:: + + This tutorial needs updating. It will be updated to follow the way + the `scratch model `_ + works. For now you might want to skim through this, and then look at that as + a reference. + You'll most likely want to use a popular machine learning framework eventually within your model class. For an example on how one might use ``scikit`` see the -code for the `scikit models `_. +code for the `scikit models `_. Create the Package ------------------ diff --git a/docs/usage/operations.rst b/docs/tutorials/operations.rst similarity index 56% rename from docs/usage/operations.rst rename to docs/tutorials/operations.rst index ea1a73a190..f947df8439 100644 --- a/docs/usage/operations.rst +++ b/docs/tutorials/operations.rst @@ -1,13 +1,13 @@ -DataFlows - shouldi -=================== +New Operations Tutorial +======================= -This example will show you how to generate a dataset using operations. In the +This tutorial will explain what operations are and how you can use them. In the process we'll create a meta static analysis tool, ``shouldi``. Operations are the core of DFFML, they have inputs and outputs, are configurable and are run by the Orchestrator in what amounts to a large event loop. The events in the event loop are pieces of data entering the network. When a -piece of data which matches the data types of one of the operations inputs +piece of data which matches the data types of one of the operation's inputs enters the network, that operation is then run. We're going to write a few operations which will run some Python static analysis @@ -15,13 +15,42 @@ tools. With the goal being to create a command line utility called ``shouldi`` which will provide us with the information we need to make the decision, should I install Python package X? When it's done it'll look like this -.. TODO Update example output - .. code-block:: console - $ shouldi install dffml bandit + $ shouldi install dffml insecure-package dffml is okay to install - Do not install insecure-package! {'safety_check_number_of_issues': 1} + Do not install insecure-package! + safety_check_number_of_issues: 1 + bandit_output: {'CONFIDENCE.HIGH': 0.0, 'CONFIDENCE.LOW': 0.0, 'CONFIDENCE.MEDIUM': 0.0, 'CONFIDENCE.UNDEFINED': 0.0, 'SEVERITY.HIGH': 0.0, 'SEVERITY.LOW': 0.0, 'SEVERITY.MEDIUM': 0.0, 'SEVERITY.UNDEFINED': 0.0, 'loc': 100, 'nosec': 0, 'CONFIDENCE.HIGH_AND_SEVERITY.HIGH': 0} + +In the second half of this tutorial, we'll deploy the tool as an HTTP API +endpoint rather than a command line application. + +.. code-block:: console + + $ curl -s \ + --header "Content-Type: application/json" \ + --request POST \ + --data '{"insecure-package": [{"value":"insecure-package","definition":"package"}]}' \ + http://localhost:8080/shouldi | python -m json.tool + { + "insecure-package": { + "safety_check_number_of_issues": 1, + "bandit_output": { + "CONFIDENCE.HIGH": 0, + "CONFIDENCE.LOW": 0, + "CONFIDENCE.MEDIUM": 0, + "CONFIDENCE.UNDEFINED": 0, + "SEVERITY.HIGH": 0, + "SEVERITY.LOW": 0, + "SEVERITY.MEDIUM": 0, + "SEVERITY.UNDEFINED": 0, + "loc": 100, + "nosec": 0, + "CONFIDENCE.HIGH_AND_SEVERITY.HIGH": 0 + } + } + } Tools ----- @@ -126,6 +155,12 @@ Create a new package using the create script. `examples/shouldi `_ directory of the DFFML source code. +Remove the example files as we won't be needing them + +.. code-block:: console + + $ rm shouldi/operations.py shouldi/definitions.py tests/test_operations.py + Installing Static Analysis Tools -------------------------------- @@ -138,13 +173,8 @@ dependences. For packages, we can declare our dependencies right in our **setup.py** -.. code-block:: python - - SETUP_KWARGS["install_requires"] += [ - "aiohttp>=3.5.4", - "bandit>=1.6.2", - "safety>=1.8.5" - ] +.. literalinclude:: /../examples/shouldi/setup.py + :lines: 12-16 .. note:: @@ -179,10 +209,14 @@ To get parsable output, we'll run ``safety`` with the ``--json`` flag. Let's now write the operation to call ``safety`` via a subprocess. +**shouldi/safety.py** + .. literalinclude:: /../examples/shouldi/shouldi/safety.py Write a test for it +**tests/test_safety.py** + .. literalinclude:: /../examples/shouldi/tests/test_safety.py Run the tests @@ -253,10 +287,14 @@ To get parsable output, we'll run with the ``-f json`` flag. Let's now write the operation to call ``safety`` via a subprocess. +**shouldi/bandit.py** + .. literalinclude:: /../examples/shouldi/shouldi/bandit.py Write a test for it +**tests/test_bandit.py** + .. literalinclude:: /../examples/shouldi/tests/test_bandit.py Run the tests @@ -279,12 +317,21 @@ So far ``shouldi`` uses two tools. - Which checks if there are any open CVEs in a package -We're only planning on providing our tool with the package name though, and -we'll need the package version to run ``safety`` and the source code of the -package to run ``bandit``. +We're only planning on providing our tool with the package name. So we'll need +to find the package version to run ``safety``, and download the source code +of the package to run ``bandit``. + +This is the directed graph that defines the dataflow of operations that make +up ``shouldi`` it shows us how all the operations we talked about above are +connected using other opertions which grabbed the package version and source +code from PyPi. + +.. TODO Autogenerate this from the dataflow + +.. image:: /images/shouldi-dataflow-processing.svg + :alt: Diagram showing DataFlow for processing stage -Let's outline what else needs to happen to get the package version and source -code of the package to those operations. +The DataFlow above describes the following process: - In the processing stage we run all our data collection operations @@ -316,23 +363,43 @@ code of the package to those operations. - Run the ``get_single`` operation which selects data matching the definitions we care about. -This is the directed graph that defines the dataflow of operations that make -up ``shouldi`` it shows us how all the operation we talked about above are -connected. +PyPi Operations +--------------- -.. TODO Autogenerate this from the dataflow +Let's write an operation to grab the JSON information about a package. -.. image:: /images/shouldi-dataflow.png - :alt: Diagram showing Dataflow +**shouldi/pypi.py** -PyPi Operations ---------------- +.. literalinclude:: /../examples/shouldi/shouldi/pypi.py + :lines: 1-35 -Let's write an operation to grab the version of a package. +After we have the package information, we extract the version and URL where we +can get the source code. + +**shouldi/pypi.py** .. literalinclude:: /../examples/shouldi/shouldi/pypi.py + :lines: 38-60 -Write a test for it +Once we have the URL, we download the package source and extract it to a +temporary directory. + +**shouldi/pypi.py** + +.. literalinclude:: /../examples/shouldi/shouldi/pypi.py + :lines: 63-82 + +Finally, we make a ``cleanup`` operation to remove the directory once we're done +with it. + +**shouldi/pypi.py** + +.. literalinclude:: /../examples/shouldi/shouldi/pypi.py + :lines: 85-90 + +Now we write tests for each operation. + +**tests/test_pypi.py** .. literalinclude:: /../examples/shouldi/tests/test_pypi.py @@ -342,8 +409,6 @@ Run the tests $ python3.7 setup.py test -s tests.test_pypi -.. TODO Add they operations to setup.py entry_points - CLI --- @@ -351,8 +416,6 @@ Writing the CLI is as simple as importing our operations and having the memory orchestrator run them. DFFML also provides a quick and dirty CLI abstraction based on :py:mod:`argparse` which will speed things up. -.. TODO explain more about writing the CLI and the orchestrator - **shouldi/cli.py** .. literalinclude:: /../examples/shouldi/shouldi/cli.py @@ -360,6 +423,8 @@ based on :py:mod:`argparse` which will speed things up. Let's test out the code in ``shouldi.cli`` before making it accessible via the command line. +**tests/test_cli.py** + .. literalinclude:: /../examples/shouldi/tests/test_cli.py Run the all the tests this time @@ -368,47 +433,6 @@ Run the all the tests this time $ python3.7 setup.py test -If you have coverage installed (``pip install coverage``) you can also check the -code coverage. - -.. code-block:: console - - $ python3.7 -m coverage run setup.py test - running test - running egg_info - writing shouldi.egg-info/PKG-INFO - writing dependency_links to shouldi.egg-info/dependency_links.txt - writing entry points to shouldi.egg-info/entry_points.txt - writing requirements to shouldi.egg-info/requires.txt - writing top-level names to shouldi.egg-info/top_level.txt - reading manifest file 'shouldi.egg-info/SOURCES.txt' - reading manifest template 'MANIFEST.in' - writing manifest file 'shouldi.egg-info/SOURCES.txt' - running build_ext - test_run (tests.test_safety.TestSafetyCheck) ... ok - test_install (tests.test_cli.TestCLI) ... ok - test_run (tests.test_pypi.TestPyPiLatestPackageVersion) ... ok - - ---------------------------------------------------------------------- - Ran 3 tests in 1.282s - - OK - $ python3.7 -m coverage report -m - Name Stmts Miss Branch BrPart Cover Missing - -------------------------------------------------------------------- - shouldi/__init__.py 0 0 0 0 100% - shouldi/cli.py 27 0 6 0 100% - shouldi/definitions.py 5 0 2 0 100% - shouldi/pypi.py 12 0 2 0 100% - shouldi/safety.py 18 0 0 0 100% - shouldi/version.py 1 0 0 0 100% - tests/__init__.py 0 0 0 0 100% - tests/test_cli.py 11 0 0 0 100% - tests/test_pypi.py 9 0 0 0 100% - tests/test_safety.py 9 0 0 0 100% - -------------------------------------------------------------------- - TOTAL 92 0 10 0 100% - We want this to be usable as a command line utility, Python's :py:mod:`setuptools` allows us to define console ``entry_points``. All we have to do is tell :py:mod:`setuptools` what Python function we want it to call when @@ -418,9 +442,8 @@ the ``shouldi.cli`` module. **setup.py** -.. code-block:: python - - entry_points={"console_scripts": ["shouldi = shouldi.cli:ShouldI.main"]}, +.. literalinclude:: /../examples/shouldi/setup.py + :lines: 17-18 Re-install the package via pip @@ -429,10 +452,159 @@ Re-install the package via pip $ python3.7 -m pip install -e . Now we should be able to run our new tool via the CLI! (Provided your ``$PATH`` -is set up correctly. +is set up correctly). .. code-block:: console - $ shouldi install insecure-package bandit - bandit is okay to install - Do not install insecure-package! {'safety_check_number_of_issues': 1} + $ shouldi install dffml insecure-package + dffml is okay to install + Do not install insecure-package! + safety_check_number_of_issues: 1 + bandit_output: {'CONFIDENCE.HIGH': 0.0, 'CONFIDENCE.LOW': 0.0, 'CONFIDENCE.MEDIUM': 0.0, 'CONFIDENCE.UNDEFINED': 0.0, 'SEVERITY.HIGH': 0.0, 'SEVERITY.LOW': 0.0, 'SEVERITY.MEDIUM': 0.0, 'SEVERITY.UNDEFINED': 0.0, 'loc': 100, 'nosec': 0, 'CONFIDENCE.HIGH_AND_SEVERITY.HIGH': 0} + +.. _tutorials_operations_visualizing_the_dataflow: + +Visualizing the DataFlow +------------------------ + +DataFlows can be visualized using `mermaidjs `_. + +.. note:: + + Installing the ``dffml-config-yaml`` package will enable the + ``-config yaml`` option. Allowing you to export to YAML instead of JSON. + You can also convert between config file formats with the + :ref:`cli_config_convert` command. + +We first export the DataFlow to a config file on disk. + +.. code-block:: console + + $ mkdir -p shouldi/deploy/df + $ dffml service dev export -config json shouldi.cli:DATAFLOW \ + > shouldi/deploy/df/shouldi.json + +We then create the mermaidjs digarm from the DataFlow. The ``-simple`` flag says +to only show connections between operations, don't show which inputs and outputs +are connected. + +.. code-block:: console + + $ dffml service dev diagram -simple shouldi/deploy/df/shouldi.json + graph TD + subgraph a759a07029077edc5c37fea0326fa281[Processing Stage] + style a759a07029077edc5c37fea0326fa281 fill:#afd388b5,stroke:#a4ca7a + a55c24c0d1363ec4d3c9e20883f3c740[pypi_latest_package_version] + d273c0a72c6acc57e33c2f7162fa7363[pypi_package_contents] + 83503ba9fe6c0f5649644d26e59c5590[pypi_package_json] + 00f7f4637f6f67120e83e75c78949806[pypi_package_url] + 9220cb5f5732d9e6dcc130a4908ddf92[run_bandit] + 88517e4cd0cae33deff50d987f2683fe[safety_check] + end + subgraph a4827add25f5c7d5895c5728b74e2beb[Cleanup Stage] + style a4827add25f5c7d5895c5728b74e2beb fill:#afd388b5,stroke:#a4ca7a + 7ec0058800fd4bed6fb63633330588c7[cleanup_pypi_package] + end + subgraph 58ca4d24d2767176f196436c2890b926[Output Stage] + style 58ca4d24d2767176f196436c2890b926 fill:#afd388b5,stroke:#a4ca7a + b42e9e149e775202b18841f1f67061c4[get_single] + end + subgraph inputs[Inputs] + style inputs fill:#f6dbf9,stroke:#a178ca + d273c0a72c6acc57e33c2f7162fa7363 --> 7ec0058800fd4bed6fb63633330588c7 + d60584024f765273b6f41d6d36f8320c(get_single_spec) + d60584024f765273b6f41d6d36f8320c --> b42e9e149e775202b18841f1f67061c4 + 83503ba9fe6c0f5649644d26e59c5590 --> a55c24c0d1363ec4d3c9e20883f3c740 + 00f7f4637f6f67120e83e75c78949806 --> d273c0a72c6acc57e33c2f7162fa7363 + 314b1a20a4db6b3bf3f2627830da97a3(package) + 314b1a20a4db6b3bf3f2627830da97a3 --> 83503ba9fe6c0f5649644d26e59c5590 + 83503ba9fe6c0f5649644d26e59c5590 --> 00f7f4637f6f67120e83e75c78949806 + d273c0a72c6acc57e33c2f7162fa7363 --> 9220cb5f5732d9e6dcc130a4908ddf92 + 314b1a20a4db6b3bf3f2627830da97a3(package) + 314b1a20a4db6b3bf3f2627830da97a3 --> 88517e4cd0cae33deff50d987f2683fe + a55c24c0d1363ec4d3c9e20883f3c740 --> 88517e4cd0cae33deff50d987f2683fe + end + +You can now copy that graph and paste it in the mermaidjs live editor: + +- https://mermaidjs.github.io/mermaid-live-editor + +It should render the following SVG showing how all the operations are connected. + +.. image:: /images/shouldi-dataflow.svg + :alt: Diagram showing DataFlow + +GitLab will render mermaidjs diagrams found in markdown files. There is also a +sphinx plugin, and a command line utility. + +.. _tutorials_operations_registering_opreations: + +Registering Operations +---------------------- + +In order to make our operations visible to other plugins and packages using +DFFML, we need to register them with Python's ``entry_points`` system. + +**setup.py** + +.. literalinclude:: /../examples/shouldi/setup.py + :lines: 17-28 + +Re-install the package via pip to make registrations take effect. + +.. code-block:: console + + $ python3.7 -m pip install -e . + +After you've registered the operations, services such as the +:doc:`/plugins/service/http/index` will have access to your operations. + +To make sure your operations were registered, you can use the development +service's ``entrypoints list`` command. You should see the ``get_single`` +operation we used to get our output as comming from ``dffml``. You'll also see +your own operations as coming from ``shouldi``. + +.. code-block:: console + + $ dffml service dev entrypoints list dffml.operation + associate = dffml.operation.output:Associate -> dffml 0.2.1 (/usr/local/lib/python3.7/dist-packages) + dffml.mapping.create = dffml.operation.mapping:create_mapping -> dffml 0.2.1 (/usr/local/lib/python3.7/dist-packages) + dffml.mapping.extract = dffml.operation.mapping:mapping_extract_value -> dffml 0.2.1 (/usr/local/lib/python3.7/dist-packages) + get_single = dffml.operation.output:GetSingle -> dffml 0.2.1 (/usr/local/lib/python3.7/dist-packages) + group_by = dffml.operation.output:GroupBy -> dffml 0.2.1 (/usr/local/lib/python3.7/dist-packages) + cleanup_pypi_package = shouldi.pypi:cleanup_pypi_package -> shouldi 0.0.1 (/home/user/shouldi) + pypi_latest_package_version = shouldi.pypi:pypi_latest_package_version -> shouldi 0.0.1 (/home/user/shouldi) + pypi_package_contents = shouldi.pypi:pypi_package_contents -> shouldi 0.0.1 (/home/user/shouldi) + pypi_package_json = shouldi.pypi:pypi_package_json -> shouldi 0.0.1 (/home/user/shouldi) + pypi_package_url = shouldi.pypi:pypi_package_url -> shouldi 0.0.1 (/home/user/shouldi) + run_bandit = shouldi.bandit:run_bandit -> shouldi 0.0.1 (/home/user/shouldi) + safety_check = shouldi.safety:safety_check -> shouldi 0.0.1 (/home/user/shouldi) + +The :doc:`/usage/dataflows` usage example will show you how to expose your new +meta static analysis tool over an HTTP interface. + +.. code-block:: console + + $ curl -s \ + --header "Content-Type: application/json" \ + --request POST \ + --data '{"insecure-package": [{"value":"insecure-package","definition":"package"}]}' \ + http://localhost:8080/shouldi | python -m json.tool + { + "insecure-package": { + "safety_check_number_of_issues": 1, + "bandit_output": { + "CONFIDENCE.HIGH": 0, + "CONFIDENCE.LOW": 0, + "CONFIDENCE.MEDIUM": 0, + "CONFIDENCE.UNDEFINED": 0, + "SEVERITY.HIGH": 0, + "SEVERITY.LOW": 0, + "SEVERITY.MEDIUM": 0, + "SEVERITY.UNDEFINED": 0, + "loc": 100, + "nosec": 0, + "CONFIDENCE.HIGH_AND_SEVERITY.HIGH": 0 + } + } + } diff --git a/docs/tutorials/source.rst b/docs/tutorials/source.rst index 80364c2cbc..a47afc504c 100644 --- a/docs/tutorials/source.rst +++ b/docs/tutorials/source.rst @@ -26,24 +26,6 @@ in memory, called ``MiscSource``, and some tests. Edit the Source --------------- -For this tutorial we'll be implementing a source which knows how to save and -load data from a ``sqlite`` database. We'll be using the ``aiosqlite`` package -to do this. - -Imports -~~~~~~~ - -We're going to need a few modules from the standard library, let's import them. - -.. code-block:: python - - import aiosqlite - -Interact with the Database -~~~~~~~~~~~~~~~~~~~~~~~~~~ - -*This section is way under-explained and should be improved* - The implementation of a source consists mainly of creating a subclass of :class:`dffml.source.source.BaseSourceContext`. Often there will be some initial connection establishment in the :class:`dffml.source.source.BaseSource` as well @@ -53,14 +35,58 @@ connection establishment in the :class:`dffml.source.source.BaseSource` as well :members: :noindex: +We essentially just fill out the methods in the context class. And do any +context entry and exit we need to do in the context class and its parent. + +Interact with the Database +-------------------------- + +.. TODO This section is way under-explained and should be improved + +For this tutorial we'll be implementing a source which knows how to save and +load data from a ``sqlite`` database. We'll be using the ``aiosqlite`` package +to do this. + If we had a ``sqlite`` database will custom columns we could implement it like so. +**examples/source/custom_sqlite.py** + .. literalinclude:: /../examples/source/custom_sqlite.py Run the tests -~~~~~~~~~~~~~ +------------- .. code-block:: console $ python3.7 setup.py test + +Register your source +-------------------- + +Modify the **setup.py** file and change the ``dffml.source`` ``entry_point``'s +to point to your new source class (not the one ending in ``Context``). + +.. code-block:: python + + from setuptools import setup + + from dffml_setup_common import SETUP_KWARGS, IMPORT_NAME + + SETUP_KWARGS["entry_points"] = { + "dffml.source": [f"customsqlite = {IMPORT_NAME}.custom_sqlite:CustomSQLiteSource"] + } + + setup(**SETUP_KWARGS) + +This allows you to use your source with the CLI and HTTP API (after you install +it). + +Install your package +-------------------- + +The following command installs your new source. + +.. code-block:: console + + $ python3.7 -m pip install -e . diff --git a/docs/usage/dataflows.rst b/docs/usage/dataflows.rst new file mode 100644 index 0000000000..e5f6f82d41 --- /dev/null +++ b/docs/usage/dataflows.rst @@ -0,0 +1,338 @@ +DataFlow Deployment +=================== + +In the :doc:`/tutorials/operations` we created a command line meta static +analysis tool, ``shouldi``. + +.. code-block:: console + + $ shouldi install dffml insecure-package + dffml is okay to install + Do not install insecure-package! + safety_check_number_of_issues: 1 + bandit_output: {'CONFIDENCE.HIGH': 0.0, 'CONFIDENCE.LOW': 0.0, 'CONFIDENCE.MEDIUM': 0.0, 'CONFIDENCE.UNDEFINED': 0.0, 'SEVERITY.HIGH': 0.0, 'SEVERITY.LOW': 0.0, 'SEVERITY.MEDIUM': 0.0, 'SEVERITY.UNDEFINED': 0.0, 'loc': 100, 'nosec': 0, 'CONFIDENCE.HIGH_AND_SEVERITY.HIGH': 0} + +In the :ref:`tutorials_operations_registering_opreations` section of the +operations tutorial, we registered our operations with Python's ``entry_point`` +system. This allows other Python packages and DFFML plugins to access them +without the need to hardcode in ``import`` statements. + +.. code-block:: console + + $ curl -s \ + --header "Content-Type: application/json" \ + --request POST \ + --data '{"insecure-package": [{"value":"insecure-package","definition":"package"}]}' \ + http://localhost:8080/shouldi | python3.7 -m json.tool + { + "insecure-package": { + "safety_check_number_of_issues": 1, + "bandit_output": { + "CONFIDENCE.HIGH": 0, + "CONFIDENCE.LOW": 0, + "CONFIDENCE.MEDIUM": 0, + "CONFIDENCE.UNDEFINED": 0, + "SEVERITY.HIGH": 0, + "SEVERITY.LOW": 0, + "SEVERITY.MEDIUM": 0, + "SEVERITY.UNDEFINED": 0, + "loc": 100, + "nosec": 0, + "CONFIDENCE.HIGH_AND_SEVERITY.HIGH": 0 + } + } + } + +Config Files +------------ + +As we saw before, DataFlows can be serialized to config files. JSON +representations of DataFlows are not fun to hand edit. YAML looks a lot cleaner. + +We're going to install the ``dffml-config-yaml`` package so that we don't have +to look at JSON. + +.. code-block:: console + + $ python3.7 -m pip install dffml-config-yaml + +We'll be working from the top level directory of the ``shouldi`` package we +created in the :doc:`/tutorials/operations`. + +The source for that package is also available under the ``examples/shouldi`` +directory of the DFFML source code. + +.. code-block:: console + + $ cd examples/shouldi + +Config files are named after the dataflow they are associated with. In the +:ref:`tutorials_operations_visualizing_the_dataflow` section of the +:doc:`/tutorials/operations`, we serialized the ``shouldi`` dataflow to the +``shouldi/deploy/df`` directory. + +The ``df`` directory is contains the main dataflows to be deployed. + +.. code-block:: console + + $ tree shouldi/deploy/ + shouldi/deploy/ + └── df + └── shouldi.json + + 1 directory, 1 file + +MultiComms +---------- + +Another concept in DFFML is the ``MultiComm``, they are contain multiple +channels of communications. ``MultiComm``'s will typically be protocol based. +An IRC or Slack ``MultiComm`` channel of communication might be a chat room, or +when a particular word immediately follows the bots name. + +Example: + +:: + + myuser | mybot: shouldi install ... + +The HTTP server was the first ``MultiComm`` written for DFFML. It's channels of +communication are URL paths (Example: ``/some/url/path``). + +Let's install the HTTP API service. + +.. code-block:: console + + $ python3.7 -m pip install dffml-service-http + +HTTP Channel Config +------------------- + +To deploy our ``shouldi`` dataflow via the HTTP API, we need to register a +communication channel, which is the association of a URL path to the dataflow. + +We create a config file for the ``MultiComm`` we'll be using. ``MultiComm`` +config files go under the ``mc`` directory of the directory being +used to deploy. Then config file itself then goes under the name of the +``MultiComm`` its associated with, ``http`` in this instance. + +.. code-block:: console + + $ mkdir -p shouldi/deploy/mc/http + +The file is populated with the URL path that should trigger the dataflow, how to +present the output data, and if the dataflow should return when all outputs +exist, or if it should continue waiting for more inputs (``asynchronous``, used +for websockets / http2). + +**shouldi/deploy/mc/http/shouldi.yaml** + +.. literalinclude:: /../examples/shouldi/shouldi/deploy/mc/http/shouldi.yaml + :language: yaml + +Serving the DataFlow +-------------------- + +.. warning:: + + The ``-insecure`` flag is only being used here to speed up this + tutorial. See documentation on HTTP API + :doc:`/plugins/service/http/security` for more information. + +We now start the http server and tell it that the ``MultiComm`` configuration +directory can be found in ``shouldi/deploy``. + +.. code-block:: console + + $ dffml service http server -insecure -mc-config shouldi/deploy + +In another terminal, you can send a ``POST`` request containing the ``Input`` +items that you want evaluated. + +.. code-block:: console + + $ curl -s \ + --header "Content-Type: application/json" \ + --request POST \ + --data '{"insecure-package": [{"value":"insecure-package","definition":"package"}]}' \ + http://localhost:8080/shouldi | python3.7 -m json.tool + { + "bandit_output": { + "CONFIDENCE.HIGH": 0, + "CONFIDENCE.LOW": 0, + "CONFIDENCE.MEDIUM": 0, + "CONFIDENCE.UNDEFINED": 0, + "SEVERITY.HIGH": 0, + "SEVERITY.LOW": 0, + "SEVERITY.MEDIUM": 0, + "SEVERITY.UNDEFINED": 0, + "loc": 100, + "nosec": 0, + "CONFIDENCE.HIGH_AND_SEVERITY.HIGH": 0 + }, + "safety_check_number_of_issues": 1 + } + +Combining Operations +-------------------- + +If you've gone through the :doc:`/usage/integration` example, you've seen the +Git and source code analysis related operations (a list of all available +operations can be found on the :doc:`/plugins/dffml_operation` plugins page). + +We'll be using those operations, so we need to install them + +.. code-block:: console + + $ python3.7 -m pip install dffml-feature-git + +The ``lines_of_code_to_comments`` operation will give use the ratio of the +number of lines of comments to the number of lines of code. + +.. note:: + + You need to install `tokei `_ before + you can use ``lines_of_code_to_comments``. + +The ``lines_of_code_to_comments`` operation needs the output given by +``lines_of_code_by_language``, which needs a Git repos source code. + +.. image:: /images/comments_to_code.svg + :alt: Diagram showing DataFlow of comment to code ratio operations + +A ``git_repository_checked_out`` is defined as: + + - repo: git_repository_checked_out(type: Dict[str, str]) + + - URL: str + - directory: str + - commit: str + +``lines_of_code_by_language`` just runs ``tokei`` on the ``directory``, so if we +create ``dict`` (the programming language agnostic term is ``mapping`` / +``map``) with the property of ``directory`` pointing at the source code of the , +Python package we downloaded for ``bandit``, we'll be able to use the Git +operations within the ``shouldi`` dataflow. + +Let's create the ``override`` directory which will contain the operations we +want to add to the ``shouldi`` dataflow, and how we want to connect those +operations with the existing ones. + +.. code-block:: console + + $ mkdir -p shouldi/deploy/override + $ dffml dataflow create -config yaml \ + dffml.mapping.create lines_of_code_by_language lines_of_code_to_comments \ + > shouldi/deploy/override/shouldi.yaml + +The final directory structure should look like this + +.. code-block:: console + + $ tree shouldi/deploy + shouldi/deploy + ├── df + │   └── shouldi.json + ├── mc + │   └── http + │   └── shouldi.yaml + └── override + └── shouldi.yaml + + 5 directories, 9 files + +It contains the following files. + +- ``df/shouldi.json`` + + - The ``shouldi`` dataflow + +- ``mc/http/shouldi.yaml`` + + - A config file for the ``http`` multicomm, using the dataflow named ``shouldi`` + +- ``override/shouldi.yaml`` + + - A dataflow containing modififactions to the ``shouldi`` dataflow + +The override dataflow file looks like this: + +**shouldi/deploy/override/shouldi.yaml** + +.. literalinclude:: /../examples/shouldi/shouldi/deploy/override/shouldi.yaml + :language: yaml + +We've modified the flow to create the following dataflow + +.. image:: /images/shouldi-dataflow-extended.svg + :alt: Diagram showing DataFlow with use of comment to code ratio + +The diagram above can be re-generated with the following commands + +.. code-block:: console + + $ dffml dataflow merge \ + shouldi/deploy/df/shouldi.json \ + shouldi/deploy/override/shouldi.yaml | \ + dffml dataflow diagram \ + -stages processing -simple -config yaml /dev/stdin + +Copy and pasting the graph into the +`mermaidjs live editor `_ +results in the graph. + +Redeploying +----------- + +We can now stop the server we had running, and start it again with the new +configs. + +.. code-block:: console + + $ dffml service http server -insecure -mc-config shouldi/deploy + +Here's an example of evaluating two packages using the new DataFlow. + +.. code-block:: console + + $ curl -s \ + --header "Content-Type: application/json" \ + --request POST \ + --data '{"insecure-package": [{"value":"insecure-package","definition":"package"}], "dffml": [{"value":"dffml","definition":"package"}]}' \ + http://localhost:8080/shouldi | python3.7 -m json.tool + { + "dffml": { + "bandit_output": { + "CONFIDENCE.HIGH": 1.0, + "CONFIDENCE.HIGH_AND_SEVERITY.HIGH": 0, + "CONFIDENCE.LOW": 0.0, + "CONFIDENCE.MEDIUM": 0.0, + "CONFIDENCE.UNDEFINED": 0.0, + "SEVERITY.HIGH": 0.0, + "SEVERITY.LOW": 1.0, + "SEVERITY.MEDIUM": 0.0, + "SEVERITY.UNDEFINED": 0.0, + "loc": 6227, + "nosec": 0 + }, + "language_to_comment_ratio": 5, + "safety_check_number_of_issues": 0 + }, + "insecure-package": { + "bandit_output": { + "CONFIDENCE.HIGH": 0.0, + "CONFIDENCE.HIGH_AND_SEVERITY.HIGH": 0, + "CONFIDENCE.LOW": 0.0, + "CONFIDENCE.MEDIUM": 0.0, + "CONFIDENCE.UNDEFINED": 0.0, + "SEVERITY.HIGH": 0.0, + "SEVERITY.LOW": 0.0, + "SEVERITY.MEDIUM": 0.0, + "SEVERITY.UNDEFINED": 0.0, + "loc": 100, + "nosec": 0 + }, + "language_to_comment_ratio": 19, + "safety_check_number_of_issues": 1 + } + } diff --git a/docs/usage/index.rst b/docs/usage/index.rst index 60ebb10d42..ab09099d60 100644 --- a/docs/usage/index.rst +++ b/docs/usage/index.rst @@ -8,4 +8,4 @@ The following are some example use cases of DFFML. :caption: Contents: integration - operations + dataflows diff --git a/docs/usage/integration.rst b/docs/usage/integration.rst index a9ccefecc3..a5123c7463 100644 --- a/docs/usage/integration.rst +++ b/docs/usage/integration.rst @@ -30,33 +30,33 @@ package manager should have it if not. Navigate to the ``maintained`` example, starting at the top directory of the ``dffml`` source. -.. code-block:: bash +.. code-block:: console $ cd examples/maintained/ Create a virtual environment for Python 3.7. -.. code-block:: bash +.. code-block:: console - $ virtualenv -p python3.7 .venv + $ python3.7 -m venv .venv $ . .venv/bin/activate Install DFFML. -.. code-block:: bash +.. code-block:: console $ pip install -U dffml -Download the Python 2 client libraries for MariaDB (same as MySQL). +Download the Python 2 client libraries for MySQL. -.. code-block:: bash +.. code-block:: console $ python2 -m pip install -U --user \ https://dev.mysql.com/get/Downloads/Connector-Python/mysql-connector-python-8.0.16.tar.gz -Start MariaDB +Start MariaDB (functionally very similar to MySQL which its a fork of). -.. code-block:: bash +.. code-block:: console $ docker run --rm -d --name maintained_db \ -e MYSQL_RANDOM_ROOT_PASSWORD=yes \ @@ -70,10 +70,11 @@ Import the data. The data was pulled from a couple pages of GitHub search results and randomly assigned a maintenance status. It is completely meaningless. -You could discard all of this data and use the web app to create a meaningful -dataset by manually going through and setting the status of repos. +If you want results that mean anything, you could discard all of this data and +use the web app to create a meaningful dataset by manually going through and +setting the status of repos. -.. code-block:: bash +.. code-block:: console $ docker run -i --rm --net=host mariadb mysql \ -h127.0.0.1 \ @@ -86,7 +87,7 @@ was a legacy setup in place, the CGI server could just as well have been running PHP. In fact a php app that does the same thing would follow these same integration steps. -.. code-block:: bash +.. code-block:: console $ python -m http.server --cgi 8000 @@ -102,7 +103,7 @@ repos. Lets pull down that list of repos. -.. code-block:: bash +.. code-block:: console $ curl 'http://127.0.0.1:8000/cgi-bin/api.py?action=dump' \ | jq -r 'keys[]' | tee /tmp/urls @@ -117,42 +118,33 @@ tell the orchestrator to run certain ``Operations`` on each one of the URLs. Those ``Operations`` will scrape data that is representative of the repo's maintenance, we can then feed that data into a machine learning model. +.. note:: + + This example is centered around machine learning. We'll be using DataFlows + to collect a dataset for training, testing, and prediction. For a deeper + understanding of Operations and DataFlows, see the + :doc:`/tutorials/operations`. + The operations we're going to use are a part of ``dffml-feature-git``, which is a separate Python package from DFFML (although maintained within the same repo) -which we can install via ``pip``. +which we can install via ``pip``. We'll also use the ``yaml`` config loader, +since that creates more user friendly configs than ``json``. -.. code-block:: bash +.. code-block:: console - $ pip install -U dffml-feature-git + $ pip install -U dffml-feature-git dffml-config-yaml Operations are just Python functions, or classes. They define a routine which will be run concurrently with other operations. Here's an example of the ``git_commits`` operation, which will find the number of commits within a date range. -.. code-block:: python +**feature/git/dffml_feature_git/feature/operations.py** - @op(inputs={ - 'repo': git_repository, - 'branch': git_branch, - 'start_end': date_pair - }, - outputs={ - 'commits': commit_count - }) - async def git_commits(repo: Dict[str, str], branch: str, start_end: List[str]): - start, end = start_end - commit_count = 0 - proc = await create('git', 'log', '--oneline', '--before', start, - '--after', end, branch, cwd=repo['directory']) - while not proc.stdout.at_eof(): - line = await proc.stdout.readline() - if line != b'': - commit_count += 1 - await stop(proc) - return { - 'commits': commit_count - } +.. literalinclude:: /../feature/git/dffml_feature_git/feature/operations.py + :linenos: + :lineno-start: 367 + :lines: 367-394 Since operations are run concurrently with each other, DFFML manages locking of input data, such as git repositories. This is done via ``Definitions`` which are @@ -167,6 +159,8 @@ operations. Arrows show how data moves between operations. :alt: Diagram showing Dataflow We can also visualize how the individual inputs and outputs are linked together. +Inputs and outputs of the same ``Definition`` can be linked together +automatically. .. TODO Autogenerate this from the dataflow @@ -174,9 +168,10 @@ We can also visualize how the individual inputs and outputs are linked together. :alt: Diagram showing detailed version of Dataflow We're going to use the operations provided in ``dffml-feature-git`` to gather -our dataset. First we'll define which operations we are going to use. +our dataset. The following command writes all the operations we're using to the +file ``/tmp/operations``. -.. code-block:: bash +.. code-block:: console $ cat > /tmp/operations < cgi-bin/dataflow.yaml + +The inputs and outputs of operations within a running DataFlow are organized by +contexts. The context for our dataset generation will be the source URL to the +Git repo. + +- We will be providing the source URL to the git repo on a per-repo basis. + +- We provide the start date of the zeroith quarter, and 10 instances of quarter, + since for each operation, every possible permutation of inputs will be run, + ``quarters_back_to_date`` is going to take the start date, and the quarter, + and produce a date range for that quarter. + +- We'll also need to provide an input to the output operation ``group_by_spec``. + Output operations decide what data generated should be used as feature data, + and present it in a usable format. + + - Here we're telling the ``group_by`` operation to create feature data where + the ``author_count``, ``work_spread`` and ``commit_count`` are grouped by + the quarter they were generated for. + +**cgi-bin/dataflow.yaml** + +.. literalinclude:: /../examples/maintained/cgi-bin/dataflow.yaml + :linenos: + :lineno-start: 249 + :lines: 249-285 The speed of the following command depends on your internet connection, it may take 2 minutes, it may take more. All the git repos in ``/tmp/urls`` will be downloaded, this will also take up space in ``/tmp``, they will be cleaned up automatically. -.. code-block:: bash +This command runs the dataflow on a set of repos, that set being the URLs in +``/tmp/urls``. The data generated on those repos is then being saved to +``/tmp/data.json`` (tagged as the ``gathered`` data source). - $ dffml operations repo \ - -log debug \ - -sources primary=json \ - -source-filename /tmp/data.json \ - -update \ +.. code-block:: console + + $ dffml dataflow run repos set \ -keys $(cat /tmp/urls) \ -repo-def URL \ - -remap \ - group_by.work=work \ - group_by.commits=commits \ - group_by.authors=authors \ - -dff-memory-operation-network-ops $(cat /tmp/operations) \ - -dff-memory-opimp-network-opimps $(cat /tmp/operations) \ - -inputs \ - {0,1,2,3,4,5,6,7,8,9}=quarter \ - "'2019-03-29 13:24'=quarter_start_date" \ - True=no_git_branch_given \ - -output-specs '{ - "authors": { - "group": "quarter", - "by": "author_count", - "fill": 0 - }, - "work": { - "group": "quarter", - "by": "work_spread", - "fill": 0 + -dataflow cgi-bin/dataflow.yaml \ + -sources gathered=json \ + -source-filename /tmp/data.json \ + -no-strict + [ + ... results ... + { + "extra": {}, + "features": { + "authors": [ + 0, + 2, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0 + ], + "commits": [ + 0, + 12, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0 + ], + "work": [ + 0, + 4, + 0, + 0, + 0, + 0, + 0, + 0, + 0, + 0 + ] }, - "commits": { - "group": "quarter", - "by": "commit_count", - "fill": 0 - } - }=group_by_spec' - -We saved the gathered data to ``/tmp/data.json``. + "last_updated": "2019-10-25T01:44:50Z", + "src_url": "https://github.com/AntoineMaillard06/Tetris.git" + } + ] Pulling from the Database ------------------------- @@ -252,21 +297,40 @@ By copying the example source implementation ``examples/source/custom_source.py`` we can quickly modify it to use the ``aiomysql`` connector rather than sqlite. -.. TODO Add more explination here +.. note:: + + The following source code is one of many examples of how you might write a + source to interact with your existing database. If you don't have any + existing logic and just want to store data in MySQL, you chould check out + the MySQL :doc:`/plugins/dffml_source` plugin. + +**demoapp/source.py** + +.. literalinclude:: /../examples/maintained/demoapp/source.py + +We then make sure to register our new source with Pythons ``entrypoint`` system, +to make it accessable to the command line interface. + +**setup.py** + +.. literalinclude:: /../examples/maintained/setup.py + :lines: 32 Let's now install it so we can use it within the DFFML CLI. -.. code-block:: bash +.. code-block:: console $ pip install -e . The source we've written uses a new table in the database. Lets create it. +**db_ml.sql** + .. literalinclude:: /../examples/maintained/db_ml.sql You can pipe that query in with bash like we did the first time. -.. code-block:: bash +.. code-block:: console $ docker run -i --rm --net=host mariadb mysql \ -h127.0.0.1 \ @@ -277,7 +341,7 @@ You can pipe that query in with bash like we did the first time. Now we'll take the data we stored in the json file and merge it back into the database. -.. code-block:: bash +.. code-block:: console $ dffml merge db=demoapp gathered=json \ -source-gathered-filename /tmp/data.json -log debug @@ -285,7 +349,7 @@ database. List all the repos in the database to confirm all data and classifications show up as expected. -.. code-block:: bash +.. code-block:: console $ dffml list repos -sources db=demoapp @@ -296,14 +360,14 @@ The model we'll be using is a part of ``dffml-model-tensorflow``, which is anoth separate Python package from DFFML (although maintained within the same repo) which we can install via ``pip``. -.. code-block:: bash +.. code-block:: console $ pip install -U dffml-model-tensorflow The model is a generic wrapper around Tensorflow's DNN estimator. We can use it to train on our dataset. -.. code-block:: bash +.. code-block:: console $ dffml train all \ -model tfdnnc \ @@ -322,7 +386,7 @@ to train on our dataset. Now let's assess the accuracy, remember, this is bogus data so this number is meaningless unless you threw out the dataset and put in real classifications. -.. code-block:: bash +.. code-block:: console $ dffml accuracy \ -model tfdnnc \ @@ -334,9 +398,6 @@ meaningless unless you threw out the dataset and put in real classifications. def:commits:int:10 \ def:work:int:10 \ -log critical - 2019-05-23 10:23:40.056553: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3491950000 Hz - 2019-05-23 10:23:40.057065: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x24fe3c0 executing computations on platform Host. Devices: - 2019-05-23 10:23:40.057087: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): , 0.4722222089767456 The accuracy is 47.22%. @@ -344,47 +405,19 @@ The accuracy is 47.22%. Making a Prediction ------------------- -Run the operations on the new repo (https://github.com/intel/dffml.git). +Run the operations on the new repo: ``https://github.com/intel/dffml.git`` -.. code-block:: bash +.. code-block:: console - $ dffml operations repo \ - -log debug \ - -sources db=demoapp \ - -update \ + $ dffml dataflow run repos set \ -keys https://github.com/intel/dffml.git \ -repo-def URL \ - -remap \ - group_by.work=work \ - group_by.commits=commits \ - group_by.authors=authors \ - -dff-memory-operation-network-ops $(cat /tmp/operations) \ - -dff-memory-opimp-network-opimps $(cat /tmp/operations) \ - -inputs \ - {0,1,2,3,4,5,6,7,8,9}=quarter \ - "'2019-03-29 13:24'=quarter_start_date" \ - True=no_git_branch_given \ - -output-specs '{ - "authors": { - "group": "quarter", - "by": "author_count", - "fill": 0 - }, - "work": { - "group": "quarter", - "by": "work_spread", - "fill": 0 - }, - "commits": { - "group": "quarter", - "by": "commit_count", - "fill": 0 - } - }=group_by_spec' + -dataflow cgi-bin/dataflow.yaml \ + -sources db=demoapp Now that we have the data for the new repo, ask the model for a prediction. -.. code-block:: bash +.. code-block:: console $ dffml predict repo \ -keys https://github.com/intel/dffml.git \ @@ -398,9 +431,6 @@ Now that we have the data for the new repo, ask the model for a prediction. def:work:int:10 \ -log critical \ -update - 2019-05-23 10:33:03.468591: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3491950000 Hz - 2019-05-23 10:33:03.469217: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x4394920 executing computations on platform Host. Devices: - 2019-05-23 10:33:03.469235: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): , [ { "extra": {}, @@ -459,7 +489,7 @@ operations to be run on the new URL, and then the prediction. The demo app will then take the predicted classification and record that as the classification in the database. -**examples/maintained/index.html** +**index.html** .. code-block:: html @@ -476,89 +506,16 @@ run the same commands we just ran on the command line, and parse the output, which is in JSON format, and set the resulting prediction classification in the database. -**examples/maintained/cgi-bin/api.py** - -.. code-block:: python - - # Add the imports we'll be using to the top of api.py - import subprocess - from datetime import datetime - - # ... - - elif action == 'predict': - today = datetime.now().strftime('%Y-%m-%d %H:%M') - operations = [ - 'group_by', - 'quarters_back_to_date', - 'check_if_valid_git_repository_URL', - 'clone_git_repo', - 'git_repo_default_branch', - 'git_repo_checkout', - 'git_repo_commit_from_date', - 'git_repo_author_lines_for_dates', - 'work', - 'git_repo_release', - 'git_commits', - 'count_authors', - 'cleanup_git_repo' - ] - subprocess.check_call(([ - 'dffml', 'operations', 'repo', - '-log', 'debug', - '-sources', 'db=demoapp', - '-update', - '-keys', query['URL'], - '-repo-def', 'URL', - '-remap', - 'group_by.work=work', - 'group_by.commits=commits', - 'group_by.authors=authors', - '-dff-memory-operation-network-ops'] + operations + [ - '-dff-memory-opimp-network-opimps'] + operations + [ - '-inputs'] + \ - ['%d=quarter' % (i,) for i in range(0, 10)] + [ - '\'%s\'=quarter_start_date' % (today,), - 'True=no_git_branch_given', - '-output-specs', '''{ - "authors": { - "group": "quarter", - "by": "author_count", - "fill": 0 - }, - "work": { - "group": "quarter", - "by": "work_spread", - "fill": 0 - }, - "commits": { - "group": "quarter", - "by": "commit_count", - "fill": 0 - } - }=group_by_spec'''])) - result = subprocess.check_output([ - 'dffml', 'predict', 'repo', - '-keys', query['URL'], - '-model', 'tfdnnc', - '-model-classification', 'maintained', - '-model-classifications', '0', '1', - '-sources', 'db=demoapp', - '-features', - 'def:authors:int:10', - 'def:commits:int:10', - 'def:work:int:10', - '-log', 'critical', - '-update']) - result = json.loads(result) - cursor.execute("REPLACE INTO status (src_url, maintained) VALUES(%s, %s)", - (query['URL'], result[0]['prediction']['value'],)) - cnx.commit() - print json.dumps(dict(success=True)) +**cgi-bin/api.py** + +.. literalinclude:: /../examples/maintained/cgi-bin/api-ml.py + :linenos: + :lineno-start: 40 + :lines: 40-66 Hook up the predict button to call our new API. -**examples/maintained/ml.js** +**ml.js** .. code-block:: javascript @@ -586,7 +543,7 @@ Hook up the predict button to call our new API. Finally, import the new script into the main page. -**examples/maintained/index.html** +**index.html** .. code-block:: html diff --git a/examples/maintained/cgi-bin/api-ml.py b/examples/maintained/cgi-bin/api-ml.py index 28b5f18b16..2c3bb4ae28 100755 --- a/examples/maintained/cgi-bin/api-ml.py +++ b/examples/maintained/cgi-bin/api-ml.py @@ -39,55 +39,13 @@ print json.dumps(dict(success=True)) elif action == 'predict': today = datetime.now().strftime('%Y-%m-%d %H:%M') - operations = [ - 'group_by', - 'quarters_back_to_date', - 'check_if_valid_git_repository_URL', - 'clone_git_repo', - 'git_repo_default_branch', - 'git_repo_checkout', - 'git_repo_commit_from_date', - 'git_repo_author_lines_for_dates', - 'work', - 'git_repo_release', - 'git_commits', - 'count_authors', - 'cleanup_git_repo' - ] - subprocess.check_call(([ - 'dffml', 'operations', 'repo', - '-log', 'debug', - '-sources', 'db=demoapp', - '-update', - '-keys', query['URL'], - '-repo-def', 'URL', - '-remap', - 'group_by.work=work', - 'group_by.commits=commits', - 'group_by.authors=authors', - '-dff-memory-operation-network-ops'] + operations + [ - '-dff-memory-opimp-network-opimps'] + operations + [ - '-inputs'] + \ - ['%d=quarter' % (i,) for i in range(0, 10)] + [ - '\'%s\'=quarter_start_date' % (today,), - 'True=no_git_branch_given', - '-output-specs', '''{ - "authors": { - "group": "quarter", - "by": "author_count", - "fill": 0 - }, - "work": { - "group": "quarter", - "by": "work_spread", - "fill": 0 - }, - "commits": { - "group": "quarter", - "by": "commit_count", - "fill": 0 - } - }=group_by_spec'''])) + subprocess.check_call([ + "dffml", "dataflow", "run", "repos", "set", + "-keys", query['URL'], + "-repo-def", "URL", + "-dataflow", os.path.join(os.path.dirname(__file__), "dataflow.yaml"), + "-sources", "db=demoapp", + ]) result = subprocess.check_output([ 'dffml', 'predict', 'repo', '-keys', query['URL'], diff --git a/examples/maintained/cgi-bin/dataflow.yaml b/examples/maintained/cgi-bin/dataflow.yaml new file mode 100644 index 0000000000..3ce19f1361 --- /dev/null +++ b/examples/maintained/cgi-bin/dataflow.yaml @@ -0,0 +1,302 @@ +configs: {} +definitions: + URL: + name: URL + primitive: string + author_count: + name: author_count + primitive: int + author_line_count: + name: author_line_count + primitive: Dict[str, int] + commit_count: + name: commit_count + primitive: int + date: + name: date + primitive: string + date_pair: + name: date_pair + primitive: List[date] + git_branch: + name: git_branch + primitive: str + git_commit: + name: git_commit + primitive: string + git_repository: + lock: true + name: git_repository + primitive: Dict[str, str] + spec: + defaults: {} + name: GitRepoSpec + types: + URL: str + directory: str + git_repository_checked_out: + lock: true + name: git_repository_checked_out + primitive: Dict[str, str] + spec: + defaults: {} + name: GitRepoCheckedOutSpec + types: + URL: str + commit: str + directory: str + group_by_output: + name: group_by_output + primitive: Dict[str, List[Any]] + group_by_spec: + name: group_by_spec + primitive: Dict[str, Any] + spec: + defaults: {} + name: GroupBySpec + types: + by: Definition + fill: generic + group: Definition + no_git_branch_given: + name: no_git_branch_given + primitive: boolean + quarter: + name: quarter + primitive: int + quarter_start_date: + name: quarter_start_date + primitive: int + release_within_period: + name: release_within_period + primitive: bool + valid_git_repository_URL: + name: valid_git_repository_URL + primitive: boolean + work_spread: + name: work_spread + primitive: int +flow: + check_if_valid_git_repository_URL: + inputs: + URL: + - seed + cleanup_git_repo: + inputs: + repo: + - clone_git_repo: repo + clone_git_repo: + conditions: + - check_if_valid_git_repository_URL: valid + inputs: + URL: + - seed + count_authors: + inputs: + author_lines: + - git_repo_author_lines_for_dates: author_lines + git_commits: + inputs: + branch: + - git_repo_default_branch: branch + repo: + - clone_git_repo: repo + start_end: + - quarters_back_to_date: start_end + git_repo_author_lines_for_dates: + inputs: + branch: + - git_repo_default_branch: branch + repo: + - clone_git_repo: repo + start_end: + - quarters_back_to_date: start_end + git_repo_checkout: + inputs: + commit: + - git_repo_commit_from_date: commit + repo: + - clone_git_repo: repo + git_repo_commit_from_date: + inputs: + branch: + - git_repo_default_branch: branch + date: + - quarters_back_to_date: date + repo: + - clone_git_repo: repo + git_repo_default_branch: + conditions: + - seed + inputs: + repo: + - clone_git_repo: repo + git_repo_release: + inputs: + branch: + - git_repo_default_branch: branch + repo: + - clone_git_repo: repo + start_end: + - quarters_back_to_date: start_end + group_by: + inputs: + spec: + - seed + quarters_back_to_date: + inputs: + date: + - seed + number: + - seed + work: + inputs: + author_lines: + - git_repo_author_lines_for_dates: author_lines +linked: true +operations: + check_if_valid_git_repository_URL: + inputs: + URL: URL + name: check_if_valid_git_repository_URL + outputs: + valid: valid_git_repository_URL + stage: processing + cleanup_git_repo: + inputs: + repo: git_repository + name: cleanup_git_repo + outputs: {} + stage: cleanup + clone_git_repo: + conditions: + - valid_git_repository_URL + inputs: + URL: URL + name: clone_git_repo + outputs: + repo: git_repository + stage: processing + count_authors: + inputs: + author_lines: author_line_count + name: count_authors + outputs: + authors: author_count + stage: processing + git_commits: + inputs: + branch: git_branch + repo: git_repository + start_end: date_pair + name: git_commits + outputs: + commits: commit_count + stage: processing + git_repo_author_lines_for_dates: + inputs: + branch: git_branch + repo: git_repository + start_end: date_pair + name: git_repo_author_lines_for_dates + outputs: + author_lines: author_line_count + stage: processing + git_repo_checkout: + inputs: + commit: git_commit + repo: git_repository + name: git_repo_checkout + outputs: + repo: git_repository_checked_out + stage: processing + git_repo_commit_from_date: + inputs: + branch: git_branch + date: date + repo: git_repository + name: git_repo_commit_from_date + outputs: + commit: git_commit + stage: processing + git_repo_default_branch: + conditions: + - no_git_branch_given + inputs: + repo: git_repository + name: git_repo_default_branch + outputs: + branch: git_branch + stage: processing + git_repo_release: + inputs: + branch: git_branch + repo: git_repository + start_end: date_pair + name: git_repo_release + outputs: + present: release_within_period + stage: processing + group_by: + inputs: + spec: group_by_spec + name: group_by + outputs: + output: group_by_output + stage: output + quarters_back_to_date: + expand: + - date + - start_end + inputs: + date: quarter_start_date + number: quarter + name: quarters_back_to_date + outputs: + date: date + start_end: date_pair + stage: processing + work: + inputs: + author_lines: author_line_count + name: work + outputs: + work: work_spread + stage: processing +seed: +- definition: group_by_spec + value: + authors: + group: author_count + by: quarter + fill: 0 + work: + group: work_spread + by: quarter + fill: 0 + commits: + group: commit_count + by: quarter + fill: 0 +- definition: quarter_start_date + value: 2019-03-29 13:24 +- definition: quarter + value: 0 +- definition: quarter + value: 1 +- definition: quarter + value: 2 +- definition: quarter + value: 3 +- definition: quarter + value: 4 +- definition: quarter + value: 5 +- definition: quarter + value: 6 +- definition: quarter + value: 7 +- definition: quarter + value: 8 +- definition: quarter + value: 9 diff --git a/examples/shouldi/MANIFEST.in b/examples/shouldi/MANIFEST.in index 04f196ac78..19f3196490 100644 --- a/examples/shouldi/MANIFEST.in +++ b/examples/shouldi/MANIFEST.in @@ -1,2 +1,3 @@ include README.md include LICENSE +include setup_common.py diff --git a/examples/shouldi/setup.py b/examples/shouldi/setup.py index 3b3b18f315..1e11146c3c 100644 --- a/examples/shouldi/setup.py +++ b/examples/shouldi/setup.py @@ -1,72 +1,30 @@ import os -import ast -import sys -from io import open +import importlib.util +from setuptools import setup -from setuptools import find_packages, setup - -self_path = os.path.dirname(os.path.realpath(__file__)) - -NAME = "shouldi" -AUTHOR_NAME = "John Andersen" -AUTHOR_EMAIL = "john.s.andersen@intel.com" -DESCRIPTION = "Meta static analysis runner for Python packages" - -with open(os.path.join(self_path, NAME, "version.py"), "r") as f: - for line in f: - if line.startswith("VERSION"): - version = ast.literal_eval(line.strip().split("=")[-1].strip()) - break - -with open(os.path.join(self_path, "README.md"), "r", encoding="utf-8") as f: - readme = f.read() - -INSTALL_REQUIRES = ["aiohttp>=3.5.4", "bandit>=1.6.2", "safety>=1.8.5"] + ( - ["dffml>=0.2.1"] - if not any( - list( - map( - os.path.isfile, - list( - map( - lambda syspath: os.path.join( - syspath, "dffml.egg-link" - ), - sys.path, - ) - ), - ) - ) - ) - else [] +# Boilerplate to load commonalities +spec = importlib.util.spec_from_file_location( + "setup_common", os.path.join(os.path.dirname(__file__), "setup_common.py") ) +common = importlib.util.module_from_spec(spec) +spec.loader.exec_module(common) -setup( - name=NAME, - version=version, - description=DESCRIPTION, - long_description=readme, - long_description_content_type="text/markdown", - author=AUTHOR_NAME, - author_email=AUTHOR_EMAIL, - maintainer=AUTHOR_NAME, - maintainer_email=AUTHOR_EMAIL, - url="https://github.com/intel/dffml/blob/master/examples/shouldi/README.md", - license="MIT", - keywords=[""], - classifiers=[ - "Development Status :: 3 - Alpha", - "Intended Audience :: Developers", - "License :: OSI Approved :: MIT License", - "License :: OSI Approved :: Apache Software License", - "Natural Language :: English", - "Operating System :: OS Independent", - "Programming Language :: Python :: 3.7", - "Programming Language :: Python :: Implementation :: CPython", - "Programming Language :: Python :: Implementation :: PyPy", +common.KWARGS["install_requires"] += [ + "aiohttp>=3.5.4", + "bandit>=1.6.2", + "safety>=1.8.5", +] +common.KWARGS["entry_points"] = { + "console_scripts": ["shouldi = shouldi.cli:ShouldI.main"], + "dffml.operation": [ + "run_bandit = shouldi.bandit:run_bandit", + "safety_check = shouldi.safety:safety_check", + "pypi_latest_package_version = shouldi.pypi:pypi_latest_package_version", + "pypi_package_json = shouldi.pypi:pypi_package_json", + "pypi_package_url = shouldi.pypi:pypi_package_url", + "pypi_package_contents = shouldi.pypi:pypi_package_contents", + "cleanup_pypi_package = shouldi.pypi:cleanup_pypi_package", ], - install_requires=INSTALL_REQUIRES, - tests_require=[], - packages=find_packages(), - entry_points={"console_scripts": ["shouldi = shouldi.cli:ShouldI.main"]}, -) +} + +setup(**common.KWARGS) diff --git a/examples/shouldi/setup_common.py b/examples/shouldi/setup_common.py new file mode 100644 index 0000000000..6416d85781 --- /dev/null +++ b/examples/shouldi/setup_common.py @@ -0,0 +1,79 @@ +import os +import sys +import ast +from io import open +from pathlib import Path +from setuptools import find_packages + +ORG = "intel" +NAME = "shouldi" +DESCRIPTION = "Meta static analysis tool for Python packages" +AUTHOR_NAME = "John Andersen" +AUTHOR_EMAIL = "john.s.andersen@intel.com" +# Install dffml if it is not installed in development mode +INSTALL_REQUIRES = [] + ( + ["dffml>=0.3.0"] + if not any( + list( + map( + os.path.isfile, + list( + map( + lambda syspath: os.path.join( + syspath, "dffml.egg-link" + ), + sys.path, + ) + ), + ) + ) + ) + else [] +) + +IMPORT_NAME = ( + NAME + if "replace_package_name".upper() != NAME + else "replace_import_package_name".upper() +).replace("-", "_") + +SELF_PATH = Path(sys.argv[0]).parent.resolve() +if not (SELF_PATH / Path(IMPORT_NAME, "version.py")).is_file(): + SELF_PATH = os.path.dirname(os.path.realpath(__file__)) + +VERSION = ast.literal_eval( + Path(SELF_PATH, IMPORT_NAME, "version.py") + .read_text() + .split("=")[-1] + .strip() +) + +README = Path(SELF_PATH, "README.md").read_text() + +KWARGS = dict( + name=NAME, + version=VERSION, + description=DESCRIPTION, + long_description=README, + long_description_content_type="text/markdown", + author=AUTHOR_NAME, + author_email=AUTHOR_EMAIL, + maintainer=AUTHOR_NAME, + maintainer_email=AUTHOR_EMAIL, + url=f"https://github.com/{ORG}/dffml/blob/master/examples/{NAME}/README.md", + license="MIT", + keywords=["dffml"], + classifiers=[ + "Development Status :: 3 - Alpha", + "Intended Audience :: Developers", + "License :: OSI Approved :: MIT License", + "Natural Language :: English", + "Operating System :: OS Independent", + "Programming Language :: Python :: 3 :: Only", + "Programming Language :: Python :: 3.7", + "Programming Language :: Python :: Implementation :: CPython", + "Programming Language :: Python :: Implementation :: PyPy", + ], + install_requires=INSTALL_REQUIRES, + packages=find_packages(), +) diff --git a/examples/shouldi/shouldi/bandit.py b/examples/shouldi/shouldi/bandit.py index 0a8b787b6f..538c0fda81 100644 --- a/examples/shouldi/shouldi/bandit.py +++ b/examples/shouldi/shouldi/bandit.py @@ -1,15 +1,12 @@ -import io -import os import sys import json import asyncio from typing import Dict, Any - -from dffml.df.types import Definition from dffml.df.base import op -from .pypi import package_src_dir +from dffml.df.types import Definition +package_src_dir = Definition(name="package_src_dir", primitive="str") bandit_output = Definition(name="bandit_output", primitive="Dict[str, Any]") diff --git a/examples/shouldi/shouldi/cli.py b/examples/shouldi/shouldi/cli.py index d737b2a274..53cd3d7860 100644 --- a/examples/shouldi/shouldi/cli.py +++ b/examples/shouldi/shouldi/cli.py @@ -1,22 +1,48 @@ -import sys +# Command line interface helpers +from dffml.util.cli.cmd import CMD +from dffml.util.cli.arg import Arg -from dffml.df.types import Input -from dffml.df.base import operation_in, opimp_in, Operation +# DataFlow specific classes +from dffml.df.types import DataFlow, Input from dffml.df.memory import MemoryOrchestrator + +# The GetSingle operation will grab the data we want from the ouputs of our +# operations and present it as the result from dffml.operation.output import GetSingle -from dffml.util.cli.cmd import CMD -from dffml.util.cli.arg import Arg +# Import all the operations we wrote from shouldi.bandit import run_bandit from shouldi.pypi import pypi_latest_package_version from shouldi.pypi import pypi_package_json from shouldi.pypi import pypi_package_url from shouldi.pypi import pypi_package_contents +from shouldi.pypi import cleanup_pypi_package from shouldi.safety import safety_check -# sys.modules[__name__] is a list of everything we've imported in this file. -# opimp_in returns a subset of that list, any OperationImplementations -OPIMPS = opimp_in(sys.modules[__name__]) +# Link inputs and outputs together according to their definitions +DATAFLOW = DataFlow.auto( + pypi_package_json, + pypi_latest_package_version, + pypi_package_url, + pypi_package_contents, + cleanup_pypi_package, + safety_check, + run_bandit, + GetSingle, +) +# Seed inputs are added to each executing context. The following Input tells the +# GetSingle output operation that we want the output of the network to include +# data matching the "issues" output of the safety_check operation, and the +# "report" output of the run_bandit operation, for each context. +DATAFLOW.seed.append( + Input( + value=[ + safety_check.op.outputs["issues"].name, + run_bandit.op.outputs["report"].name, + ], + definition=GetSingle.op.inputs["spec"], + ) +) class Install(CMD): @@ -27,53 +53,48 @@ class Install(CMD): async def run(self): # Create an Orchestrator which will manage the running of our operations - async with MemoryOrchestrator.basic_config(*OPIMPS) as orchestrator: + async with MemoryOrchestrator.withconfig({}) as orchestrator: # Create a orchestrator context, everything in DFFML follows this # one-two context entry pattern - async with orchestrator() as octx: - for package_name in self.packages: - # For each package add a new input set to the network of - # inputs (ictx). Operations run under a context, the context - # here is the package_name to evaluate (the first argument). - # The next arguments are all the inputs we're seeding the - # network with for that context. We give the package name - # because pypi_latest_package_version needs it to find the - # version, which safety will then use. We also give an input - # to the output operation GetSingle, which takes a list of - # data type definitions we want to select as our results. - await octx.ictx.sadd( - package_name, - Input( - value=package_name, - definition=pypi_package_json.op.inputs["package"], - ), - Input( - value=[ - safety_check.op.outputs["issues"].name, - run_bandit.op.outputs["report"].name, - ], - definition=GetSingle.op.inputs["spec"], - ), - ) - + async with orchestrator(DATAFLOW) as octx: # Run all the operations, Each iteration of this loop happens # when all inputs are exhausted for a context, the output # operations are then run and their results are yielded - async for ctx, results in octx.run_operations(): - # The context for this data flow was the package name - package_name = (await ctx.handle()).as_string() - # Get the results of the GetSingle output operation - results = results[GetSingle.op.name] - # Check if any of the values of the operations evaluate to - # true, so if the number of issues found by safety is - # non-zero then this will be true - any_issues = list(results.values()) + async for package_name, results in octx.run( + { + # For each package add a new input set to the input network + # The context operations execute under is the package name + # to evaluate. Contexts ensure that data pertaining to + # package A doesn't mingle with data pertaining to package B + package_name: [ + # The only input to the operations is the package name. + Input( + value=package_name, + definition=pypi_package_json.op.inputs[ + "package" + ], + ) + ] + for package_name in self.packages + } + ): + # Grab the number of safety issues and the bandit report + # from the results dict + safety_issues = results[ + safety_check.op.outputs["issues"].name + ] + bandit_report = results[ + run_bandit.op.outputs["report"].name + ] + # Decide if those numbers mean we should stop ship or not if ( - any_issues[0] > 0 - or any_issues[1]["CONFIDENCE.HIGH_AND_SEVERITY.HIGH"] + safety_issues > 0 + or bandit_report["CONFIDENCE.HIGH_AND_SEVERITY.HIGH"] > 5 ): - print(f"Do not install {package_name}! {results!r}") + print(f"Do not install {package_name}!") + for definition_name, result in results.items(): + print(f" {definition_name}: {result}") else: print(f"{package_name} is okay to install") diff --git a/examples/shouldi/shouldi/definitions.py b/examples/shouldi/shouldi/definitions.py deleted file mode 100644 index a1e262c161..0000000000 --- a/examples/shouldi/shouldi/definitions.py +++ /dev/null @@ -1,13 +0,0 @@ -import sys -from dffml.df.types import Definition - -definitions = [ - Definition(name="calc_string", primitive="str"), - Definition(name="is_add", primitive="bool"), - Definition(name="is_mult", primitive="bool"), - Definition(name="numbers", primitive="List[int]"), - Definition(name="result", primitive="int"), -] - -for definition in definitions: - setattr(sys.modules[__name__], definition.name, definition) diff --git a/examples/shouldi/shouldi/deploy/df/shouldi.json b/examples/shouldi/shouldi/deploy/df/shouldi.json new file mode 100644 index 0000000000..830cbfdb2b --- /dev/null +++ b/examples/shouldi/shouldi/deploy/df/shouldi.json @@ -0,0 +1,205 @@ +{ + "configs": {}, + "definitions": { + "bandit_output": { + "name": "bandit_output", + "primitive": "Dict[str, Any]" + }, + "get_single_output": { + "name": "get_single_output", + "primitive": "Dict[str, Any]" + }, + "get_single_spec": { + "name": "get_single_spec", + "primitive": "List[str]" + }, + "package": { + "name": "package", + "primitive": "str" + }, + "package_json": { + "name": "package_json", + "primitive": "Dict[str, Any]" + }, + "package_src_dir": { + "name": "package_src_dir", + "primitive": "str" + }, + "package_url": { + "name": "package_url", + "primitive": "str" + }, + "package_version": { + "name": "package_version", + "primitive": "str" + }, + "safety_check_number_of_issues": { + "name": "safety_check_number_of_issues", + "primitive": "int" + } + }, + "flow": { + "cleanup_pypi_package": { + "inputs": { + "directory": [ + { + "pypi_package_contents": "directory" + } + ] + } + }, + "get_single": { + "inputs": { + "spec": [ + "seed" + ] + } + }, + "pypi_latest_package_version": { + "inputs": { + "response_json": [ + { + "pypi_package_json": "response_json" + } + ] + } + }, + "pypi_package_contents": { + "inputs": { + "url": [ + { + "pypi_package_url": "url" + } + ] + } + }, + "pypi_package_json": { + "inputs": { + "package": [ + "seed" + ] + } + }, + "pypi_package_url": { + "inputs": { + "response_json": [ + { + "pypi_package_json": "response_json" + } + ] + } + }, + "run_bandit": { + "inputs": { + "pkg": [ + { + "pypi_package_contents": "directory" + } + ] + } + }, + "safety_check": { + "inputs": { + "package": [ + "seed" + ], + "version": [ + { + "pypi_latest_package_version": "version" + } + ] + } + } + }, + "linked": true, + "operations": { + "cleanup_pypi_package": { + "inputs": { + "directory": "package_src_dir" + }, + "name": "cleanup_pypi_package", + "outputs": {}, + "stage": "cleanup" + }, + "get_single": { + "inputs": { + "spec": "get_single_spec" + }, + "name": "get_single", + "outputs": { + "output": "get_single_output" + }, + "stage": "output" + }, + "pypi_latest_package_version": { + "inputs": { + "response_json": "package_json" + }, + "name": "pypi_latest_package_version", + "outputs": { + "version": "package_version" + }, + "stage": "processing" + }, + "pypi_package_contents": { + "inputs": { + "url": "package_url" + }, + "name": "pypi_package_contents", + "outputs": { + "directory": "package_src_dir" + }, + "stage": "processing" + }, + "pypi_package_json": { + "inputs": { + "package": "package" + }, + "name": "pypi_package_json", + "outputs": { + "response_json": "package_json" + }, + "stage": "processing" + }, + "pypi_package_url": { + "inputs": { + "response_json": "package_json" + }, + "name": "pypi_package_url", + "outputs": { + "url": "package_url" + }, + "stage": "processing" + }, + "run_bandit": { + "inputs": { + "pkg": "package_src_dir" + }, + "name": "run_bandit", + "outputs": { + "report": "bandit_output" + }, + "stage": "processing" + }, + "safety_check": { + "inputs": { + "package": "package", + "version": "package_version" + }, + "name": "safety_check", + "outputs": { + "issues": "safety_check_number_of_issues" + }, + "stage": "processing" + } + }, + "seed": [ + { + "definition": "get_single_spec", + "value": [ + "safety_check_number_of_issues", + "bandit_output" + ] + } + ] +} \ No newline at end of file diff --git a/examples/shouldi/shouldi/deploy/mc/http/shouldi.yaml b/examples/shouldi/shouldi/deploy/mc/http/shouldi.yaml new file mode 100644 index 0000000000..562f439516 --- /dev/null +++ b/examples/shouldi/shouldi/deploy/mc/http/shouldi.yaml @@ -0,0 +1,3 @@ +path: /shouldi +presentation: json +asynchronous: false diff --git a/examples/shouldi/shouldi/deploy/override/shouldi.yaml b/examples/shouldi/shouldi/deploy/override/shouldi.yaml new file mode 100644 index 0000000000..d4f324aaa3 --- /dev/null +++ b/examples/shouldi/shouldi/deploy/override/shouldi.yaml @@ -0,0 +1,75 @@ +configs: {} +definitions: + git_repository_checked_out: + lock: true + name: git_repository_checked_out + primitive: Dict[str, str] + spec: + defaults: {} + name: GitRepoCheckedOutSpec + types: + URL: str + commit: str + directory: str + key: + name: key + primitive: str + language_to_comment_ratio: + name: language_to_comment_ratio + primitive: int + lines_by_language_count: + name: lines_by_language_count + primitive: Dict[str, Dict[str, int]] + mapping: + name: mapping + primitive: map + value: + name: value + primitive: generic +flow: + lines_of_code_by_language: + inputs: + repo: + - transform_to_repo: mapping + lines_of_code_to_comments: + inputs: + langs: + - lines_of_code_by_language: lines_by_language + transform_to_repo: + inputs: + key: + - seed + value: + - pypi_package_contents: directory +linked: true +operations: + lines_of_code_by_language: + inputs: + repo: git_repository_checked_out + name: lines_of_code_by_language + outputs: + lines_by_language: lines_by_language_count + stage: processing + lines_of_code_to_comments: + inputs: + langs: lines_by_language_count + name: lines_of_code_to_comments + outputs: + code_to_comment_ratio: language_to_comment_ratio + stage: processing + transform_to_repo: + inputs: + key: key + value: value + name: dffml.mapping.create + outputs: + mapping: mapping + stage: processing +seed: +- definition: key + value: directory +- definition: get_single_spec + value: + - safety_check_number_of_issues + - bandit_output + - language_to_comment_ratio diff --git a/examples/shouldi/shouldi/pypi.py b/examples/shouldi/shouldi/pypi.py index 2c2ac111c3..d56f7a5347 100644 --- a/examples/shouldi/shouldi/pypi.py +++ b/examples/shouldi/shouldi/pypi.py @@ -1,26 +1,34 @@ -import aiohttp -import tempfile import shutil +import tempfile from typing import Dict, Any -from dffml.df.types import Definition, Stage +import aiohttp + from dffml.df.base import op +from dffml.df.types import Definition, Stage + +from .safety import package, package_version +from .bandit import package_src_dir -package = Definition(name="package", primitive="str") package_json = Definition(name="package_json", primitive="Dict[str, Any]") -package_version = Definition(name="package_version", primitive="str") package_url = Definition(name="package_url", primitive="str") -package_src_dir = Definition(name="package_src_dir", primitive="str") @op( inputs={"package": package}, outputs={"response_json": package_json}, + # imp_enter allows us to create instances of objects which are async context + # managers and assign them to self.parent which is an object of type + # OperationImplementation which will be alive for the lifetime of the + # Orchestrator which runs all these operations. imp_enter={ "session": (lambda self: aiohttp.ClientSession(trust_env=True)) }, ) async def pypi_package_json(self, package: str) -> Dict[str, Any]: + """ + Download the information on the package in JSON format. + """ url = f"https://pypi.org/pypi/{package}/json" async with self.parent.session.get(url) as resp: package_json = await resp.json() @@ -32,11 +40,17 @@ async def pypi_package_json(self, package: str) -> Dict[str, Any]: outputs={"version": package_version}, ) async def pypi_latest_package_version(response_json: Dict[str, Any]) -> str: + """ + Grab the version from the package information. + """ return {"version": response_json["info"]["version"]} @op(inputs={"response_json": package_json}, outputs={"url": package_url}) async def pypi_package_url(response_json: Dict["str", Any]) -> str: + """ + Grab the URL of the latest source code release from the package information. + """ url_dicts = response_json["urls"] for url_dict in url_dicts: if ( @@ -54,12 +68,15 @@ async def pypi_package_url(response_json: Dict["str", Any]) -> str: }, ) async def pypi_package_contents(self, url: str) -> str: + """ + Download a source code release and extract it to a temporary directory. + """ package_src_dir = tempfile.mkdtemp(prefix="pypi-") async with self.parent.session.get(url) as resp: - if resp.status == 200: - package_src_file = tempfile.NamedTemporaryFile( - prefix="pypi-", suffix=".tar.gz" - ) + # Create a temporary file to extract to + with tempfile.NamedTemporaryFile( + prefix="pypi-", suffix=".tar.gz" + ) as package_src_file: package_src_file.write(await resp.read()) shutil.unpack_archive(package_src_file.name, package_src_dir) return {"directory": package_src_dir} @@ -67,8 +84,7 @@ async def pypi_package_contents(self, url: str) -> str: @op(inputs={"directory": package_src_dir}, outputs={}, stage=Stage.CLEANUP) async def cleanup_pypi_package(directory: str): - try: - shutil.rmtree(directory) - except FileNotFoundError: - return {"op": "failed"} - return {} + """ + Remove the directory containing the source code release. + """ + shutil.rmtree(directory) diff --git a/examples/shouldi/shouldi/safety.py b/examples/shouldi/shouldi/safety.py index a905bd5ccb..9ec6beb3c6 100644 --- a/examples/shouldi/shouldi/safety.py +++ b/examples/shouldi/shouldi/safety.py @@ -1,14 +1,13 @@ -import io -import json import sys +import json import asyncio from typing import Dict, Any -from dffml.df.types import Definition from dffml.df.base import op +from dffml.df.types import Definition -from .pypi import package, package_version - +package = Definition(name="package", primitive="str") +package_version = Definition(name="package_version", primitive="str") safety_check_number_of_issues = Definition( name="safety_check_number_of_issues", primitive="int" ) diff --git a/examples/shouldi/shouldi/version.py b/examples/shouldi/shouldi/version.py index 901e5110b2..bc4ffb3d66 100644 --- a/examples/shouldi/shouldi/version.py +++ b/examples/shouldi/shouldi/version.py @@ -1 +1 @@ -VERSION = "0.0.1" +VERSION = "0.0.2" diff --git a/examples/shouldi/tests/test_bandit.py b/examples/shouldi/tests/test_bandit.py index b573658eb2..7b1cbf9bfe 100644 --- a/examples/shouldi/tests/test_bandit.py +++ b/examples/shouldi/tests/test_bandit.py @@ -1,18 +1,13 @@ -from dffml.df.base import BaseConfig +import os + from dffml.util.asynctestcase import AsyncTestCase from shouldi.bandit import run_bandit -import os class TestRunBanditOp(AsyncTestCase): async def test_run(self): - async with run_bandit.imp(BaseConfig()) as bandit_latest: - async with bandit_latest(None, None) as ctx: - results = await ctx.run({"pkg": os.getcwd()}) - self.assertLessEqual( - int( - results["report"]["CONFIDENCE.HIGH_AND_SEVERITY.HIGH"] - ), - 5.0, - ) + results = await run_bandit(os.getcwd()) + self.assertLessEqual( + int(results["report"]["CONFIDENCE.HIGH_AND_SEVERITY.HIGH"]), 5.0 + ) diff --git a/examples/shouldi/tests/test_cli.py b/examples/shouldi/tests/test_cli.py index bcb8b16696..f0d7f30e46 100644 --- a/examples/shouldi/tests/test_cli.py +++ b/examples/shouldi/tests/test_cli.py @@ -11,5 +11,5 @@ async def test_install(self): with patch("sys.stdout", new_callable=io.StringIO) as stdout: await ShouldI.install.cli("insecure-package", "shouldi") output = stdout.getvalue() - self.assertIn("shouldi is okay to install", output) - self.assertIn("Do not install insecure-package!", output) + self.assertIn("shouldi is okay to install", output) + self.assertIn("Do not install insecure-package!", output) diff --git a/examples/shouldi/tests/test_pypi.py b/examples/shouldi/tests/test_pypi.py index 40d90f95da..7fed9f3cfa 100644 --- a/examples/shouldi/tests/test_pypi.py +++ b/examples/shouldi/tests/test_pypi.py @@ -1,10 +1,7 @@ -import json import os import shutil import tempfile -from pathlib import Path -from dffml.df.base import BaseConfig from dffml.util.asynctestcase import AsyncTestCase from shouldi.pypi import pypi_package_json @@ -15,48 +12,34 @@ class TestPyPiOperations(AsyncTestCase): - PACKAGE = "insecure-package" + PACKAGE = {"name": "insecure-package"} INT_RESULT_JSON = {} - PACKAGE_URL = None async def test_000_package_json(self): - async with pypi_package_json.imp(BaseConfig()) as pypi_package: - async with pypi_package(None, None) as ctx: - results = await ctx.run({"package": self.PACKAGE}) - self.assertIs(type(results["response_json"]), dict) - self.INT_RESULT_JSON.update(results["response_json"]) + # Call the .test method created by the @op decorator. This sets up the + # aiohttp.ClientSession object. + results = await pypi_package_json.test(package=self.PACKAGE["name"]) + self.assertIs(type(results["response_json"]), dict) + self.INT_RESULT_JSON.update(results["response_json"]) async def test_001_package_version(self): - async with pypi_latest_package_version.imp( - BaseConfig() - ) as pypi_latest: - async with pypi_latest(None, None) as ctx: - results = await ctx.run( - {"response_json": self.INT_RESULT_JSON} - ) - self.assertEqual(results["version"], "0.1.0") + results = await pypi_latest_package_version(self.INT_RESULT_JSON) + self.assertEqual(results["version"], "0.1.0") async def test_002_package_url(self): - async with pypi_package_url.imp(BaseConfig()) as pypi_url: - async with pypi_url(None, None) as ctx: - results = await ctx.run( - {"response_json": self.INT_RESULT_JSON} - ) - self.assertIn("insecure-package-0.1.0.tar.gz", results["url"]) - self.PACKAGE_URL = results["url"] + results = await pypi_package_url(self.INT_RESULT_JSON) + self.assertIn("insecure-package-0.1.0.tar.gz", results["url"]) + self.PACKAGE.update(results) async def test_003_package_contents(self): - PACKAGE_URL = "https://files.pythonhosted.org/packages/dd/b7/b7318693b356d0e0ba566fb22b72a349a10337880c254e5e7e9f24f4f9b3/insecure-package-0.1.0.tar.gz" - async with pypi_package_contents.imp(BaseConfig()) as pypi_cont: - async with pypi_cont(None, None) as ctx: - results = await ctx.run({"url": PACKAGE_URL}) - no_files = os.listdir(results["directory"]) - self.assertGreater(len(no_files), 0) - shutil.rmtree(results["directory"]) + try: + results = await pypi_package_contents.test(url=self.PACKAGE["url"]) + no_files = os.listdir(results["directory"]) + self.assertGreater(len(no_files), 0) + finally: + shutil.rmtree(results["directory"]) async def test_004_cleanup_package(self): - temp_dir = tempfile.mkdtemp(prefix="temp-") - async with cleanup_pypi_package.imp(BaseConfig()) as cleanup_cont: - async with cleanup_cont(None, None) as ctx: - results = await ctx.run({"directory": temp_dir}) - self.assertDictEqual(results, {}) + tempdir = tempfile.mkdtemp() + await cleanup_pypi_package(tempdir) + self.assertFalse(os.path.isdir(tempdir)) diff --git a/examples/shouldi/tests/test_safety.py b/examples/shouldi/tests/test_safety.py index 4cb9a4ede8..330466f37c 100644 --- a/examples/shouldi/tests/test_safety.py +++ b/examples/shouldi/tests/test_safety.py @@ -1,4 +1,3 @@ -from dffml.df.base import BaseConfig from dffml.util.asynctestcase import AsyncTestCase from shouldi.safety import safety_check @@ -6,9 +5,5 @@ class TestSafetyCheck(AsyncTestCase): async def test_run(self): - async with safety_check.imp(BaseConfig()) as safety: - async with safety(None, None) as ctx: - results = await ctx.run( - {"package": "insecure-package", "version": "0.1.0"} - ) - self.assertEqual(results["issues"], 1) + results = await safety_check("insecure-package", "0.1.0") + self.assertEqual(results["issues"], 1) diff --git a/feature/auth/dffml_feature_auth/feature/operations.py b/feature/auth/dffml_feature_auth/feature/operations.py index a5d915f167..2ebe98715e 100644 --- a/feature/auth/dffml_feature_auth/feature/operations.py +++ b/feature/auth/dffml_feature_auth/feature/operations.py @@ -1,6 +1,7 @@ import os import hashlib import asyncio +import warnings import concurrent.futures from typing import Dict, Any @@ -75,7 +76,22 @@ def hash_password(password): r = 2 ** 7 p = 1 - hashed_password = hashlib.scrypt(password, salt=salt, n=n, r=r, p=p) + warnings.warn( + """ + + + INSECURE This really does pbkdf2_hmac and not scrypt (since that + requires openssl 1.1 and most systems only have 1.0.x at time of + writing) Also its just the example I copy pasted from the docs to + illustrate threading. 100000 is probably not enough iterations!!! + + """ + ) + + # TODO(p2) Provide hash (sha) option within operation config, correct + # name to pbkdf2_hmac, also make salt and iterations configurable and + # clean this up in general + hashed_password = hashlib.pbkdf2_hmac("sha384", password, salt, 100000) hashed_password = hashed_password.hex() salt = salt.hex() diff --git a/feature/auth/dffml_feature_auth/version.py b/feature/auth/dffml_feature_auth/version.py index 901e5110b2..bc4ffb3d66 100644 --- a/feature/auth/dffml_feature_auth/version.py +++ b/feature/auth/dffml_feature_auth/version.py @@ -1 +1 @@ -VERSION = "0.0.1" +VERSION = "0.0.2" diff --git a/feature/auth/setup.py b/feature/auth/setup.py index b6c9ef6fc4..dcd3e40416 100644 --- a/feature/auth/setup.py +++ b/feature/auth/setup.py @@ -1,4 +1,5 @@ import os +import sys import ast from io import open @@ -17,7 +18,25 @@ with open(os.path.join(self_path, "README.md"), "r", encoding="utf-8") as f: readme = f.read() -INSTALL_REQUIRES = [] +INSTALL_REQUIRES = [] + ( + ["dffml>=0.3.0"] + if not any( + list( + map( + os.path.isfile, + list( + map( + lambda syspath: os.path.join( + syspath, "dffml.egg-link" + ), + sys.path, + ) + ), + ) + ) + ) + else [] +) setup( name="dffml_feature_auth", @@ -46,10 +65,7 @@ packages=find_packages(), entry_points={ "dffml.operation": [ - "scrypt = dffml_feature_auth.feature.operations:scrypt" - ], - "dffml.operation.implementation": [ "scrypt = dffml_feature_auth.feature.operations:Scrypt" - ], + ] }, ) diff --git a/feature/auth/tests/test_df.py b/feature/auth/tests/test_df.py index e3d9278a9d..0b88ddc569 100644 --- a/feature/auth/tests/test_df.py +++ b/feature/auth/tests/test_df.py @@ -1,6 +1,6 @@ import random -from dffml.df.types import Operation, Input +from dffml.df.types import Operation, Input, DataFlow from dffml.df.base import BaseConfig, StringInputSetContext from dffml.df.memory import ( MemoryOrchestrator, @@ -19,10 +19,11 @@ class TestRunner(AsyncTestCase): async def test_run(self): + dataflow = DataFlow.auto(*OPIMPS) passwords = [str(random.random()) for _ in range(0, 20)] # Orchestrate the running of these operations - async with MemoryOrchestrator.basic_config(*OPIMPS) as orchestrator: + async with MemoryOrchestrator.withconfig({}) as orchestrator: definitions = Operation.definitions(*OPERATIONS) @@ -41,25 +42,14 @@ async def test_run(self): parents=None, ) - async with orchestrator() as octx: - # Add our inputs to the input network with the context being the URL - for password in passwords: - await octx.ictx.add( - MemoryInputSet( - MemoryInputSetConfig( - ctx=StringInputSetContext(password.value), - inputs=[password, output_spec], - ) - ) - ) + async with orchestrator(dataflow) as octx: try: - async for _ctx, results in octx.run_operations( - strict=True + async for _ctx, results in octx.run( + { + password.value: [password, output_spec] + for password in passwords + } ): self.assertTrue(results) except AttributeError as error: - if "module 'hashlib' has no attribute 'scrypt'" in str( - error - ): - return raise diff --git a/feature/git/dffml_feature_git/feature/definitions.py b/feature/git/dffml_feature_git/feature/definitions.py index d25ba99c20..3f591dd005 100644 --- a/feature/git/dffml_feature_git/feature/definitions.py +++ b/feature/git/dffml_feature_git/feature/definitions.py @@ -1,6 +1,19 @@ import sys +from typing import NamedTuple + +from dffml.df.types import Definition + + +class GitRepoSpec(NamedTuple): + URL: str + directory: str + + +class GitRepoCheckedOutSpec(NamedTuple): + URL: str + directory: str + commit: str -from dffml.df.base import Definition definitions = [ Definition(name="quarter_start_date", primitive="int"), @@ -8,11 +21,17 @@ Definition(name="URL", primitive="string"), Definition(name="valid_git_repository_URL", primitive="boolean"), Definition(name="git_branch", primitive="str"), - Definition(name="git_repository", primitive="Dict[str, str]", lock=True), + Definition( + name="git_repository", + primitive="Dict[str, str]", + lock=True, + spec=GitRepoSpec, + ), Definition( name="git_repository_checked_out", primitive="Dict[str, str]", lock=True, + spec=GitRepoCheckedOutSpec, ), Definition(name="git_commit", primitive="string"), Definition(name="date", primitive="string"), diff --git a/feature/git/dffml_feature_git/version.py b/feature/git/dffml_feature_git/version.py index 6c5007c7ae..91ee717f3d 100644 --- a/feature/git/dffml_feature_git/version.py +++ b/feature/git/dffml_feature_git/version.py @@ -1 +1 @@ -VERSION = "0.2.0" +VERSION = "0.2.1" diff --git a/feature/git/setup.py b/feature/git/setup.py index d30cc0b641..e3dca87663 100644 --- a/feature/git/setup.py +++ b/feature/git/setup.py @@ -1,4 +1,5 @@ import os +import sys import ast from io import open @@ -17,7 +18,25 @@ with open(os.path.join(self_path, "README.md"), "r", encoding="utf-8") as f: readme = f.read() -INSTALL_REQUIRES = ["python-dateutil>=2.7.3"] +INSTALL_REQUIRES = ["python-dateutil>=2.7.3"] + ( + ["dffml>=0.3.0"] + if not any( + list( + map( + os.path.isfile, + list( + map( + lambda syspath: os.path.join( + syspath, "dffml.egg-link" + ), + sys.path, + ) + ), + ) + ) + ) + else [] +) setup( name="dffml_feature_git", @@ -46,36 +65,20 @@ packages=find_packages(), entry_points={ "dffml.operation": [ - "quarters_back_to_date = dffml_feature_git.feature.operations:quarters_back_to_date.op", - "check_if_valid_git_repository_URL = dffml_feature_git.feature.operations:check_if_valid_git_repository_URL.op", - "clone_git_repo = dffml_feature_git.feature.operations:clone_git_repo.op", - "git_repo_default_branch = dffml_feature_git.feature.operations:git_repo_default_branch.op", - "git_repo_checkout = dffml_feature_git.feature.operations:git_repo_checkout.op", - "git_repo_commit_from_date = dffml_feature_git.feature.operations:git_repo_commit_from_date.op", - "git_repo_author_lines_for_dates = dffml_feature_git.feature.operations:git_repo_author_lines_for_dates.op", - "work = dffml_feature_git.feature.operations:work.op", - "git_repo_release = dffml_feature_git.feature.operations:git_repo_release.op", - "lines_of_code_by_language = dffml_feature_git.feature.operations:lines_of_code_by_language.op", - "lines_of_code_to_comments = dffml_feature_git.feature.operations:lines_of_code_to_comments.op", - "git_commits = dffml_feature_git.feature.operations:git_commits.op", - "count_authors = dffml_feature_git.feature.operations:count_authors.op", - "cleanup_git_repo = dffml_feature_git.feature.operations:cleanup_git_repo.op", - ], - "dffml.operation.implementation": [ - "quarters_back_to_date = dffml_feature_git.feature.operations:quarters_back_to_date.imp", - "check_if_valid_git_repository_URL = dffml_feature_git.feature.operations:check_if_valid_git_repository_URL.imp", - "clone_git_repo = dffml_feature_git.feature.operations:clone_git_repo.imp", - "git_repo_default_branch = dffml_feature_git.feature.operations:git_repo_default_branch.imp", - "git_repo_checkout = dffml_feature_git.feature.operations:git_repo_checkout.imp", - "git_repo_commit_from_date = dffml_feature_git.feature.operations:git_repo_commit_from_date.imp", - "git_repo_author_lines_for_dates = dffml_feature_git.feature.operations:git_repo_author_lines_for_dates.imp", - "work = dffml_feature_git.feature.operations:work.imp", - "git_repo_release = dffml_feature_git.feature.operations:git_repo_release.imp", - "lines_of_code_by_language = dffml_feature_git.feature.operations:lines_of_code_by_language.imp", - "lines_of_code_to_comments = dffml_feature_git.feature.operations:lines_of_code_to_comments.imp", - "git_commits = dffml_feature_git.feature.operations:git_commits.imp", - "count_authors = dffml_feature_git.feature.operations:count_authors.imp", - "cleanup_git_repo = dffml_feature_git.feature.operations:cleanup_git_repo.imp", - ], + "quarters_back_to_date = dffml_feature_git.feature.operations:quarters_back_to_date", + "check_if_valid_git_repository_URL = dffml_feature_git.feature.operations:check_if_valid_git_repository_URL", + "clone_git_repo = dffml_feature_git.feature.operations:clone_git_repo", + "git_repo_default_branch = dffml_feature_git.feature.operations:git_repo_default_branch", + "git_repo_checkout = dffml_feature_git.feature.operations:git_repo_checkout", + "git_repo_commit_from_date = dffml_feature_git.feature.operations:git_repo_commit_from_date", + "git_repo_author_lines_for_dates = dffml_feature_git.feature.operations:git_repo_author_lines_for_dates", + "work = dffml_feature_git.feature.operations:work", + "git_repo_release = dffml_feature_git.feature.operations:git_repo_release", + "lines_of_code_by_language = dffml_feature_git.feature.operations:lines_of_code_by_language", + "lines_of_code_to_comments = dffml_feature_git.feature.operations:lines_of_code_to_comments", + "git_commits = dffml_feature_git.feature.operations:git_commits", + "count_authors = dffml_feature_git.feature.operations:count_authors", + "cleanup_git_repo = dffml_feature_git.feature.operations:cleanup_git_repo", + ] }, ) diff --git a/feature/git/tests/test_df.py b/feature/git/tests/test_df.py index 10b159f272..4d91e5c86f 100644 --- a/feature/git/tests/test_df.py +++ b/feature/git/tests/test_df.py @@ -30,8 +30,7 @@ Iterator, ) -from dffml.df.types import Definition, Input -from dffml.df.linker import Linker +from dffml.df.types import Definition, Input, DataFlow from dffml.df.base import ( op, operation_in, @@ -66,9 +65,7 @@ class TestRunner(AsyncTestCase): async def test_run(self): - linker = Linker() - exported = linker.export(*OPERATIONS) - definitions, operations, _outputs = linker.resolve(exported) + dataflow = DataFlow.auto(*OPIMPS) # Instantiate inputs repos = glob.glob( @@ -91,23 +88,29 @@ async def test_run(self): "https://github.com/intel/dffml", "https://github.com/pdxjohnny/dffml", ] - repos = repos[:1] + repos = repos[:2] urls = [ - Input(value=URL, definition=definitions["URL"], parents=None) + Input( + value=URL, definition=dataflow.definitions["URL"], parents=None + ) for URL in repos ] no_git_branch_given = Input( value=True, - definition=definitions["no_git_branch_given"], + definition=dataflow.definitions["no_git_branch_given"], parents=None, ) date_spec = Input( value=datetime.now().strftime(TIME_FORMAT_MINTUE_RESOLUTION), - definition=definitions["quarter_start_date"], + definition=dataflow.definitions["quarter_start_date"], parents=None, ) quarters = [ - Input(value=i, definition=definitions["quarter"], parents=None) + Input( + value=i, + definition=dataflow.definitions["quarter"], + parents=None, + ) for i in range(0, 10) ] @@ -135,22 +138,24 @@ async def test_run(self): "fill": 0, }, }, - definition=definitions["group_by_spec"], + definition=dataflow.definitions["group_by_spec"], parents=None, ) # Orchestrate the running of these operations - async with MemoryOrchestrator.basic_config(*OPIMPS) as orchestrator: - async with orchestrator() as octx: + async with MemoryOrchestrator.basic_config() as orchestrator: + async with orchestrator(dataflow) as octx: # Add our inputs to the input network with the context being the URL - for url in urls: - await octx.ictx.sadd( - url.value, - url, - no_git_branch_given, - date_spec, - group_by_spec, - *quarters, - ) - async for ctx, results in octx.run_operations(): + async for ctx, results in octx.run( + { + url.value: [ + url, + no_git_branch_given, + date_spec, + group_by_spec, + *quarters, + ] + for url in urls + } + ): self.assertTrue(results) diff --git a/model/scikit/dffml_model_scikit/version.py b/model/scikit/dffml_model_scikit/version.py index 901e5110b2..bc4ffb3d66 100644 --- a/model/scikit/dffml_model_scikit/version.py +++ b/model/scikit/dffml_model_scikit/version.py @@ -1 +1 @@ -VERSION = "0.0.1" +VERSION = "0.0.2" diff --git a/model/scikit/setup.py b/model/scikit/setup.py index 6d2f436498..82183fadcf 100644 --- a/model/scikit/setup.py +++ b/model/scikit/setup.py @@ -1,4 +1,5 @@ import os +import sys import ast from io import open from setuptools import find_packages, setup @@ -8,7 +9,29 @@ DESCRIPTION = "DFFML model scikit" AUTHOR_NAME = "Yash Lamba" AUTHOR_EMAIL = "yashlamba2000@gmail.com" -INSTALL_REQUIRES = ["scikit-learn>=0.21.2", "joblib>=0.13.2", "pandas>=0.25.0"] +INSTALL_REQUIRES = [ + "scikit-learn>=0.21.2", + "joblib>=0.13.2", + "pandas>=0.25.0", +] + ( + ["dffml>=0.3.0"] + if not any( + list( + map( + os.path.isfile, + list( + map( + lambda syspath: os.path.join( + syspath, "dffml.egg-link" + ), + sys.path, + ) + ), + ) + ) + ) + else [] +) IMPORT_NAME = ( NAME diff --git a/model/scratch/dffml_model_scratch/version.py b/model/scratch/dffml_model_scratch/version.py index 901e5110b2..bc4ffb3d66 100644 --- a/model/scratch/dffml_model_scratch/version.py +++ b/model/scratch/dffml_model_scratch/version.py @@ -1 +1 @@ -VERSION = "0.0.1" +VERSION = "0.0.2" diff --git a/model/scratch/setup.py b/model/scratch/setup.py index e24e6c6eac..9f6c7929bd 100644 --- a/model/scratch/setup.py +++ b/model/scratch/setup.py @@ -19,7 +19,7 @@ readme = f.read() INSTALL_REQUIRES = ["numpy>=1.16.4"] + ( - ["dffml>=0.2.1"] + ["dffml>=0.3.0"] if not any( list( map( diff --git a/model/tensorflow/dffml_model_tensorflow/version.py b/model/tensorflow/dffml_model_tensorflow/version.py index 6c5007c7ae..91ee717f3d 100644 --- a/model/tensorflow/dffml_model_tensorflow/version.py +++ b/model/tensorflow/dffml_model_tensorflow/version.py @@ -1 +1 @@ -VERSION = "0.2.0" +VERSION = "0.2.1" diff --git a/model/tensorflow/setup.py b/model/tensorflow/setup.py index 9526b652f9..4bf1f5de95 100644 --- a/model/tensorflow/setup.py +++ b/model/tensorflow/setup.py @@ -1,4 +1,5 @@ import os +import sys import ast from io import open @@ -17,7 +18,25 @@ with open(os.path.join(self_path, "README.md"), "r", encoding="utf-8") as f: readme = f.read() -INSTALL_REQUIRES = ["tensorflow>=1.13.1,<2.0.0"] +INSTALL_REQUIRES = ["tensorflow>=1.13.1,<2.0.0"] + ( + ["dffml>=0.3.0"] + if not any( + list( + map( + os.path.isfile, + list( + map( + lambda syspath: os.path.join( + syspath, "dffml.egg-link" + ), + sys.path, + ) + ), + ) + ) + ) + else [] +) setup( name="dffml-model-tensorflow", diff --git a/scripts/all_tests.sh b/scripts/all_tests.sh new file mode 100755 index 0000000000..e810f2136c --- /dev/null +++ b/scripts/all_tests.sh @@ -0,0 +1,69 @@ +#!/usr/bin/env bash +set -xe + +if [ "x${NO_STRICT}" != "x" ]; then + set +e +fi + +SRC_ROOT=${SRC_ROOT:-"${PWD}"} +PYTHON=${PYTHON:-"python3.7"} + +PLUGINS=("${SRC_ROOT}/" \ + "${SRC_ROOT}/config/yaml" \ + "${SRC_ROOT}/model/tensorflow" \ + "${SRC_ROOT}/model/scratch" \ + "${SRC_ROOT}/model/scikit" \ + "${SRC_ROOT}/examples/shouldi" \ + "${SRC_ROOT}/feature/git" \ + "${SRC_ROOT}/feature/auth" \ + "${SRC_ROOT}/service/http" \ + "${SRC_ROOT}/source/mysql") +for PLUGIN in ${PLUGINS[@]}; do + cd "${PLUGIN}" + "${PYTHON}" setup.py test + exit_code=$? + if [ "x${exit_code}" == "x0" ]; then + echo "[PASS]: ${PLUGIN}" + else + echo "[FAIL]: ${PLUGIN}" + fi + # Test example and skel if main + if [ "x${PLUGIN}" == "x${SRC_ROOT}/" ]; then + # Test examples + cd examples + "${PYTHON}" -m pip install -r requirements.txt + "${PYTHON}" -m unittest discover + cd - + # Generate docs + "${SRC_ROOT}/scripts/docs.sh" + # Create venv + TMP_DIR="$(mktemp -d)" + # Remove temporary directory when done + trap "rm --preserve-root=all -rf ${TMP_DIR}" EXIT + "${PYTHON}" -m venv "${TMP_DIR}/.venv" + cd "${TMP_DIR}" + # Activate venv + source "${TMP_DIR}/.venv/bin/activate" + # Ensure that the python we're using is from the venv + which "${PYTHON}" | grep -q "${TMP_DIR}" + # Install DFFML to venv + "${PYTHON}" -m pip install "${SRC_ROOT}/" + # Create plugins + SKELS=("model" \ + "operations" \ + "service" \ + "source" \ + "config") + for SKEL in ${SKELS[@]}; do + dffml service dev create "${SKEL}" "test-${SKEL}" + cd "test-${SKEL}" + "${PYTHON}" setup.py install + "${PYTHON}" setup.py test + cd - + done + # Deactivate venv + deactivate + fi + # Go back to main source directory + cd "${SRC_ROOT}" +done diff --git a/scripts/docs.py b/scripts/docs.py index 32f6aa3d0c..b18d9f2cdc 100644 --- a/scripts/docs.py +++ b/scripts/docs.py @@ -158,13 +158,16 @@ def gen_docs(entrypoint: str, modules: List[str], maintenance: str = "Core"): "help": doc, } formatted = TEMPLATE.format(**formatting) + if getattr(cls, "imp", False): + cls = cls.imp if getattr(cls, "op", False): formatted += "\n\n" + format_op(cls.op) - defaults = cls.args({}) - if defaults: - config = traverse_get_config(defaults, *cls.add_orig_label()) - formatted += "\n\n" + build_args(config) - per_module[module_name][1].append(formatted) + if getattr(cls, "args", False): + defaults = cls.args({}) + if defaults: + config = traverse_get_config(defaults, *cls.add_orig_label()) + formatted += "\n\n" + build_args(config) + per_module[module_name][1].append(formatted) return "\n\n".join( [ MODULE_TEMPLATE.format( @@ -195,7 +198,7 @@ def gen_docs(entrypoint: str, modules: List[str], maintenance: str = "Core"): def main(): parser = argparse.ArgumentParser(description="Generate plugin docs") parser.add_argument("--entrypoint", help="Entrypoint to document") - parser.add_argument("--modules", help="Modules to care about") + parser.add_argument("--modules", help="Modules to care about", nargs="+") parser.add_argument( "--maintenance", default="Core", diff --git a/scripts/docs.sh b/scripts/docs.sh index e1af77e2a2..10454903b9 100755 --- a/scripts/docs.sh +++ b/scripts/docs.sh @@ -11,5 +11,7 @@ python3.7 scripts/docs.py python3.7 -c 'import os, pkg_resources; [e.load() for e in pkg_resources.iter_entry_points("console_scripts") if e.name.startswith("sphinx-build")][0]()' -b html docs pages find pages/ -name \*.html -exec \ sed -i 's/\>\>\> <\/span>//g' {} \; +find pages/ -name \*.html -exec \ + sed -i 's/\>\>\><\/span>//g' {} \; cp -r docs/images pages/ touch pages/.nojekyll diff --git a/scripts/docs/care b/scripts/docs/care index 9728447414..9ca5ace4c9 100644 --- a/scripts/docs/care +++ b/scripts/docs/care @@ -1,4 +1,4 @@ -dffml.operation.implementation dffml dffml_feature_git dffml_operations_binsec dffml_feature_auth +dffml.operation dffml dffml_feature_git dffml_operations_binsec dffml_feature_auth dffml.model dffml dffml_model_tensorflow dffml_model_scratch dffml_model_scikit dffml.source dffml dffml_source_mysql dffml.service.cli dffml dffml_service_http diff --git a/scripts/docs/templates/dffml_operation.rst b/scripts/docs/templates/dffml_operation.rst new file mode 100644 index 0000000000..6f9dfb0524 --- /dev/null +++ b/scripts/docs/templates/dffml_operation.rst @@ -0,0 +1,11 @@ +Operations +========== + +Operations Implementations are subclasses of +:class:`dffml.df.base.OperationImplementation`, they are functions or classes +which could do anything, make HTTP requests, do inference, etc. + +They don't necessarily have to be written in Python. Although DFFML isn't quite +to the point where it can use operations written in other languages yet, it's on +the roadmap. + diff --git a/scripts/docs/templates/dffml_operation_implementation.rst b/scripts/docs/templates/dffml_operation_implementation.rst deleted file mode 100644 index 38790fc257..0000000000 --- a/scripts/docs/templates/dffml_operation_implementation.rst +++ /dev/null @@ -1,7 +0,0 @@ -Operation Implementations -========================= - -Operations Implementations are subclasses of -:class:`dffml.df.base.OperationImplementation`, they are functions or classes -which could do anything, make HTTP requests, do inference, etc. - diff --git a/scripts/docs/templates/dffml_service_cli.rst b/scripts/docs/templates/dffml_service_cli.rst index f2708dfe8d..dc280811fe 100644 --- a/scripts/docs/templates/dffml_service_cli.rst +++ b/scripts/docs/templates/dffml_service_cli.rst @@ -14,26 +14,3 @@ Services. It also helps developers hack on DFFML itself. $ dffml service -h -You can create a new python package and start implementing a new plugin for -DFFML right away with the ``create`` command of ``dev``. - -.. code-block:: console - - $ dffml service dev create model cool-ml-model - $ cd cool-ml-model - $ python setup.py test - -When you're done you can upload it to PyPi and it'll be ``pip`` installable so -that other DFFML users can use it in their code or via the CLI. If you don't -want to mess with uploading to ``PyPi``, you can install it from your git repo -(wherever it may be that you upload it to). - -.. code-block:: console - - $ python -m pip install -U git+https://github.com/user/cool-ml-model - -Make sure to look in ``setup.py`` and edit the ``entry_points`` to match -whatever you've edited. This way whatever you make will be usable by others -within the DFFML CLI (eventually HTTP API and others) as soon as they ``pip`` -install your package, nothing else required. - diff --git a/scripts/mermaid.json b/scripts/mermaid.json new file mode 100644 index 0000000000..1ac333295c --- /dev/null +++ b/scripts/mermaid.json @@ -0,0 +1,3 @@ +{ + "themeCSS": ".label foreignObject { font-size: 14px; }" +} diff --git a/scripts/roll_releases.sh b/scripts/roll_releases.sh new file mode 100755 index 0000000000..73fc269728 --- /dev/null +++ b/scripts/roll_releases.sh @@ -0,0 +1,23 @@ +#!/usr/bin/env bash +set -xe + +SRC_ROOT=${SRC_ROOT:-"${PWD}"} +PYTHON=${PYTHON:-"python3.7"} + +PLUGINS=("${SRC_ROOT}/" \ + "${SRC_ROOT}/config/yaml" \ + "${SRC_ROOT}/model/tensorflow" \ + "${SRC_ROOT}/model/scratch" \ + "${SRC_ROOT}/model/scikit" \ + "${SRC_ROOT}/examples/shouldi" \ + "${SRC_ROOT}/feature/git" \ + "${SRC_ROOT}/feature/auth" \ + "${SRC_ROOT}/service/http" \ + "${SRC_ROOT}/source/mysql") +for PLUGIN in ${PLUGINS[@]}; do + cd "${PLUGIN}" + git clean -xdf + "${SRC_ROOT}/scripts/upload.sh" + # Go back to main source directory + cd "${SRC_ROOT}" +done diff --git a/scripts/upload.sh b/scripts/upload.sh new file mode 100755 index 0000000000..60d181f935 --- /dev/null +++ b/scripts/upload.sh @@ -0,0 +1,3 @@ +#!/usr/bin/env bash + +rm -rf dist && git clean -fdx && python3.7 setup.py sdist && twine upload dist/* diff --git a/service/http/dffml_service_http/cli.py b/service/http/dffml_service_http/cli.py index 2e3f5565b5..eb9ece2c78 100644 --- a/service/http/dffml_service_http/cli.py +++ b/service/http/dffml_service_http/cli.py @@ -127,7 +127,24 @@ class CreateTLS(TLSCMD): client = CreateTLSClient -class Server(TLSCMD, Routes): +class MultiCommCMD(CMD): + + mc_config = Arg( + "-mc-config", + dest="mc_config", + default=None, + help="MultiComm config directory", + ) + mc_atomic = Arg( + "-mc-atomic", + dest="mc_atomic", + action="store_true", + default=False, + help="No routes other than dataflows registered at startup", + ) + + +class Server(TLSCMD, MultiCommCMD, Routes): """ HTTP server providing access to DFFML APIs """ @@ -198,10 +215,17 @@ async def run(self): # Create dictionaries to hold configured sources and models await self.setup() await self.start() + # Load + if self.mc_config is not None: + # Restore atomic after config is set, allow setting for now + atomic = self.mc_atomic + self.mc_atomic = False + await self.register_directory(self.mc_config) + self.mc_atomic = atomic try: # If we are testing then RUN_YIELD will be an asyncio.Event if self.RUN_YIELD_START is not False: - self.RUN_YIELD_START.set() + await self.RUN_YIELD_START.put(self) await self.RUN_YIELD_FINISH.wait() else: # pragma: no cov # Wait for ctrl-c diff --git a/service/http/dffml_service_http/routes.py b/service/http/dffml_service_http/routes.py index 03ca13a33e..b550b56616 100644 --- a/service/http/dffml_service_http/routes.py +++ b/service/http/dffml_service_http/routes.py @@ -1,23 +1,36 @@ import os import json +import uuid import secrets +import pathlib import traceback -from functools import wraps +from functools import wraps, partial from http import HTTPStatus from functools import partial from dataclasses import dataclass from contextlib import AsyncExitStack -from typing import List, Union, AsyncIterator, Dict +from typing import List, Union, AsyncIterator, Type, NamedTuple, Dict from aiohttp import web import aiohttp_cors from dffml.repo import Repo +from dffml.base import BaseConfig, MissingConfig +from dffml.df.types import DataFlow, Input +from dffml.df.multicomm import MultiCommInAtomicMode, BaseMultiCommContext +from dffml.source.source import BaseSource +from dffml.df.memory import ( + MemoryOrchestrator, + MemoryInputSet, + MemoryInputSetConfig, + StringInputSetContext, +) from dffml.base import MissingConfig from dffml.model import Model from dffml.feature import Features from dffml.source.source import BaseSource, SourcesContext -from dffml.util.entrypoint import EntrypointNotFound +from dffml.util.entrypoint import EntrypointNotFound, entry_point +from dffml.df.base import OperationImplementationNotInstantiable # TODO Add test for this @@ -30,6 +43,7 @@ SOURCE_NOT_LOADED = {"error": "Source not loaded"} MODEL_NOT_LOADED = {"error": "Model not loaded"} MODEL_NO_SOURCES = {"error": "No source context labels given"} +MULTICOMM_NOT_LOADED = {"error": "MutliComm not loaded"} class JSONEncoder(json.JSONEncoder): @@ -56,6 +70,26 @@ class IterkeyEntry: repos: AsyncIterator[Repo] +def mcctx_route(handler): + """ + Ensure that the labeled multicomm context requested is loaded. Return the + mcctx if it is loaded and an error otherwise. + """ + + @wraps(handler) + async def get_mcctx(self, request): + mcctx = request.app["multicomm_contexts"].get( + request.match_info["label"], None + ) + if mcctx is None: + return web.json_response( + MULTICOMM_NOT_LOADED, status=HTTPStatus.NOT_FOUND + ) + return await handler(self, request, mcctx) + + return get_mcctx + + def sctx_route(handler): """ Ensure that the labeled source context requested is loaded. Return the sctx @@ -96,10 +130,121 @@ async def get_mctx(self, request): return get_mctx -class Routes: +class HTTPChannelConfig(NamedTuple): + path: str + presentation: str + asynchronous: bool + dataflow: DataFlow + + @classmethod + def _fromdict(cls, **kwargs): + kwargs["dataflow"] = DataFlow._fromdict(**kwargs["dataflow"]) + return cls(**kwargs) + + +@entry_point("http") +class Routes(BaseMultiCommContext): + PRESENTATION_OPTIONS = ["json", "blob", "text"] + + async def get_registered_handler(self, request): + return self.app["multicomm_routes"].get(request.path, None) + + async def multicomm_dataflow(self, config, request): + # Seed the network with inputs given by caller + # TODO(p0,security) allowlist of valid definitions to seed (set + # Input.origin to something other than seed) + inputs = [] + # If data was sent add those inputs + if request.method == "POST": + # Accept a list of input data + # TODO validate that input data is dict of list of inputs each item + # has definition and value properties + for ctx, client_inputs in (await request.json()).items(): + for input_data in client_inputs: + if ( + not input_data["definition"] + in config.dataflow.definitions + ): + return web.json_response( + { + "error": f"Missing definition for {input_data['definition']} in dataflow" + }, + status=HTTPStatus.NOT_FOUND, + ) + inputs.append( + MemoryInputSet( + MemoryInputSetConfig( + ctx=StringInputSetContext(ctx), + inputs=[ + Input( + value=input_data["value"], + definition=config.dataflow.definitions[ + input_data["definition"] + ], + ) + for input_data in client_inputs + ], + ) + ) + ) + # Run the operation in an orchestrator + # TODO(dfass) Create the orchestrator on startup of the HTTP API itself + async with MemoryOrchestrator.basic_config() as orchestrator: + # TODO(dfass) Create octx on dataflow registration + async with orchestrator(config.dataflow) as octx: + results = { + str(ctx): result async for ctx, result in octx.run(*inputs) + } + # TODO Implement input and presentation stages? + """ + if config.presentation == "blob": + return web.Response(body=results) + elif config.presentation == "text": + return web.Response(text=results) + else: + """ + return web.json_response(results) + + async def multicomm_dataflow_asynchronous(self, config, request): + # TODO allow list of valid definitions to seed + raise NotImplementedError( + "asynchronous data flows not yet implemented" + ) + if ( + headers.get("connection", "").lower() == "upgrade" + and headers.get("upgrade", "").lower() == "websocket" + and req.method == "GET" + ): + ws_server = web.WebSocketResponse() + await ws_server.prepare(req) + self.loop.create_task( + asyncio.wait( + [ + self.wsforward(ws_server, ws_client), + self.wsforward(ws_client, ws_server), + ], + return_when=asyncio.FIRST_COMPLETED, + ) + ) + return ws_server + else: + # TODO http/2 + return web.json_response( + {"error": f"Must use websockets"}, + status=HTTPStatus.UPGRADE_REQUIRED, + ) + @web.middleware async def error_middleware(self, request, handler): try: + # HACK This checks if aiohttp's builtin not found handler is going + # to be called + # Check if handler is the not found handler + if "Not Found" in str(handler): + # Run get_registered_handler to see if we can find the handler + new_handler = await self.get_registered_handler(request) + if new_handler is not None: + handler = new_handler return await handler(request) except web.HTTPException as error: response = {"error": error.reason} @@ -288,6 +433,38 @@ async def context_model(self, request): return web.json_response(OK) + def register_config(self) -> Type[HTTPChannelConfig]: + return HTTPChannelConfig + + async def register(self, config: HTTPChannelConfig) -> None: + if self.mc_atomic: + raise MultiCommInAtomicMode("No registrations allowed") + if config.asynchronous: + handler = self.multicomm_dataflow_asynchronous + else: + handler = self.multicomm_dataflow + self.app["multicomm_routes"][config.path] = partial(handler, config) + + @mcctx_route + async def multicomm_register(self, request, mcctx): + config = mcctx.register_config()._fromdict(**(await request.json())) + if config.presentation not in self.PRESENTATION_OPTIONS: + return web.json_response( + { + "error": f"{config.presentation!r} is not a valid presentation option: {self.PRESENTATION_OPTIONS!r}" + }, + status=HTTPStatus.BAD_REQUEST, + ) + self.logger.debug("Register new mutlicomm route: %r", config) + try: + await mcctx.register(config) + except: + return web.json_response( + {"error": "In atomic mode, no registrations allowed"}, + status=HTTPStatus.BAD_REQUEST, + ) + return web.json_response(OK) + @sctx_route async def source_repo(self, request, sctx): return web.json_response( @@ -450,50 +627,75 @@ async def setup(self, **kwargs): self.app["exit_stack"] = AsyncExitStack() await self.app["exit_stack"].__aenter__() self.app.on_shutdown.append(self.on_shutdown) + self.app["multicomm_contexts"] = {"self": self} + self.app["multicomm_routes"] = {} self.app["sources"] = {} self.app["source_contexts"] = {} self.app["source_repos_iterkeys"] = {} self.app["models"] = {} self.app["model_contexts"] = {} self.app.update(kwargs) - self.routes = [ - # HTTP Service specific APIs - ("POST", "/service/upload/{filepath:.+}", self.service_upload), - # DFFML APIs - ("GET", "/list/sources", self.list_sources), - ( - "POST", - "/configure/source/{source}/{label}", - self.configure_source, - ), - ( - "GET", - "/context/source/{label}/{ctx_label}", - self.context_source, - ), - ("GET", "/list/models", self.list_models), - ("POST", "/configure/model/{model}/{label}", self.configure_model), - ("POST", "/context/model/{label}/{ctx_label}", self.context_model), - # Source APIs - ("GET", "/source/{label}/repo/{key}", self.source_repo), - ("POST", "/source/{label}/update/{key}", self.source_update), - ("GET", "/source/{label}/repos/{chunk_size}", self.source_repos), - ( - "GET", - "/source/{label}/repos/{iterkey}/{chunk_size}", - self.source_repos_iter, - ), - # TODO route to delete iterkey before iteration has completed - # Model APIs - ("POST", "/model/{label}/train", self.model_train), - ("POST", "/model/{label}/accuracy", self.model_accuracy), - # TODO Provide an iterkey method for model prediction - ( - "POST", - "/model/{label}/predict/{chunk_size}", - self.model_predict, - ), - ] + # Allow no routes other than pre-registered if in atomic mode + self.routes = ( + [] + if self.mc_atomic + else [ + # HTTP Service specific APIs + ("POST", "/service/upload/{filepath:.+}", self.service_upload), + # DFFML APIs + ("GET", "/list/sources", self.list_sources), + ( + "POST", + "/configure/source/{source}/{label}", + self.configure_source, + ), + ( + "GET", + "/context/source/{label}/{ctx_label}", + self.context_source, + ), + ("GET", "/list/models", self.list_models), + ( + "POST", + "/configure/model/{model}/{label}", + self.configure_model, + ), + ( + "POST", + "/context/model/{label}/{ctx_label}", + self.context_model, + ), + # MutliComm APIs (Data Flow) + ( + "POST", + "/multicomm/{label}/register", + self.multicomm_register, + ), + # Source APIs + ("GET", "/source/{label}/repo/{key}", self.source_repo), + ("POST", "/source/{label}/update/{key}", self.source_update), + ( + "GET", + "/source/{label}/repos/{chunk_size}", + self.source_repos, + ), + ( + "GET", + "/source/{label}/repos/{iterkey}/{chunk_size}", + self.source_repos_iter, + ), + # TODO route to delete iterkey before iteration has completed + # Model APIs + ("POST", "/model/{label}/train", self.model_train), + ("POST", "/model/{label}/accuracy", self.model_accuracy), + # TODO Provide an iterkey method for model prediction + ( + "POST", + "/model/{label}/predict/{chunk_size}", + self.model_predict, + ), + ] + ) for route in self.routes: route = self.app.router.add_route(*route) # Add cors to all routes diff --git a/service/http/dffml_service_http/version.py b/service/http/dffml_service_http/version.py index 4d38941470..fe962686e4 100644 --- a/service/http/dffml_service_http/version.py +++ b/service/http/dffml_service_http/version.py @@ -1 +1 @@ -VERSION = "0.0.3" +VERSION = "0.0.4" diff --git a/service/http/docs/security.rst b/service/http/docs/security.rst index 4321283dcf..f50732214c 100644 --- a/service/http/docs/security.rst +++ b/service/http/docs/security.rst @@ -26,6 +26,13 @@ all origins via ``*``. $ dffml service http server -cors '*' +Atomic Mode +----------- + +The ``-mc-atomic`` flag will disable all routes other than those registered via +``-mc-config``. If you want the server to only respond using the specified +dataflows, and provide no other functionality, use this option. + Multitenancy ------------ diff --git a/service/http/setup.py b/service/http/setup.py index 0a851b1c16..f4e0f80545 100644 --- a/service/http/setup.py +++ b/service/http/setup.py @@ -11,7 +11,7 @@ AUTHOR_EMAIL = "john.s.andersen@intel.com" # Install dffml if it is not installed in development mode INSTALL_REQUIRES = ["aiohttp>=3.5.4", "aiohttp_cors>=0.7.0"] + ( - ["dffml>=0.2.1"] + ["dffml>=0.3.0"] if not any( list( map( diff --git a/service/http/tests/common.py b/service/http/tests/common.py index 380fdd8e35..93fe133532 100644 --- a/service/http/tests/common.py +++ b/service/http/tests/common.py @@ -5,13 +5,13 @@ class ServerRunner: def __init__(self): - self.begin = asyncio.Event() + self.begin = asyncio.Queue() self.end = asyncio.Event() self.server_stopped = None async def start(self, coro): self.server_stopped = asyncio.create_task(coro) - server_started = asyncio.create_task(self.begin.wait()) + server_started = asyncio.create_task(self.begin.get()) done, pending = await asyncio.wait( {self.server_stopped, server_started}, return_when=asyncio.FIRST_COMPLETED, @@ -23,6 +23,7 @@ async def start(self, coro): exception = task.exception() if exception is not None: raise exception + return server_started.result() async def stop(self): self.end.set() diff --git a/service/http/tests/dataflow.py b/service/http/tests/dataflow.py new file mode 100644 index 0000000000..b243dfddac --- /dev/null +++ b/service/http/tests/dataflow.py @@ -0,0 +1,49 @@ +import copy +from typing import NamedTuple, Dict, List + +from dffml.df.base import op, OperationImplementationContext +from dffml.df.types import Input, Stage, Definition, DataFlow +from dffml.operation.output import GetSingle, remap + + +class FormatterConfig(NamedTuple): + formatting: str + + +@op( + inputs={"data": Definition(name="format_data", primitive="string")}, + outputs={"string": Definition(name="message", primitive="string")}, + config_cls=FormatterConfig, +) +def formatter(data: str, op_config: FormatterConfig): + return {"string": op_config.formatting.format(data)} + + +HELLO_BLANK_DATAFLOW = DataFlow( + operations={"hello_blank": formatter.op, "remap_to_response": remap.op}, + configs={ + "hello_blank": {"formatting": "Hello {}"}, + "remap_to_response": { + "dataflow": DataFlow( + operations={"get_formatted_message": GetSingle.op}, + seed=[ + Input( + value=[formatter.op.outputs["string"].name], + definition=GetSingle.op.inputs["spec"], + ) + ], + ) + }, + }, + seed=[ + Input( + value={"response": [formatter.op.outputs["string"].name]}, + definition=remap.op.inputs["spec"], + ) + ], +) + +HELLO_WORLD_DATAFLOW = copy.deepcopy(HELLO_BLANK_DATAFLOW) +HELLO_WORLD_DATAFLOW.seed.append( + Input(value="World", definition=formatter.op.inputs["data"]) +) diff --git a/service/http/tests/test_cli.py b/service/http/tests/test_cli.py index a8c37c2442..10b48dffbd 100644 --- a/service/http/tests/test_cli.py +++ b/service/http/tests/test_cli.py @@ -1,13 +1,21 @@ import os +import json +import pathlib import asyncio import tempfile +import contextlib +from http import HTTPStatus from unittest.mock import patch +import aiohttp + from dffml.util.asynctestcase import AsyncTestCase from dffml_service_http.cli import HTTPService from .common import ServerRunner +from .dataflow import formatter, HELLO_BLANK_DATAFLOW, HELLO_WORLD_DATAFLOW +from .test_routes import ServerException, TestRoutesMultiComm class TestCreateTLS(AsyncTestCase): @@ -56,6 +64,44 @@ async def test_create(self): class TestServer(AsyncTestCase): + @classmethod + def setUpClass(cls): + super().setUpClass() + cls._exit_stack = contextlib.ExitStack() + cls.exit_stack = cls._exit_stack.__enter__() + cls.exit_stack.enter_context( + patch( + "dffml.df.base.OperationImplementation.load", + new=TestRoutesMultiComm.patch_operation_implementation_load, + ) + ) + + @classmethod + def tearDownClass(cls): + super().tearDownClass() + cls._exit_stack.__exit__(None, None, None) + + def url(self, cli): + return f"http://{cli.addr}:{cli.port}" + + @contextlib.asynccontextmanager + async def get(self, cli, path): + async with aiohttp.ClientSession() as session: + async with session.get(self.url(cli) + path) as r: + if r.status != HTTPStatus.OK: + raise ServerException((await r.json())["error"]) + yield r + + @contextlib.asynccontextmanager + async def post(self, cli, path, *args, **kwargs): + async with aiohttp.ClientSession() as session: + async with session.post( + self.url(cli) + path, *args, **kwargs + ) as r: + if r.status != HTTPStatus.OK: + raise ServerException((await r.json())["error"]) + yield r + async def test_insecure_off_by_default(self): self.assertFalse(HTTPService.server().insecure) @@ -86,3 +132,93 @@ async def test_start(self): os.path.join(tempdir, "server.pem"), ) ) + + async def test_mc_config(self): + with tempfile.TemporaryDirectory() as tempdir: + # URLs for endpoints + hello_world_url: str = "/hello/world" + hello_blank_url: str = "/hello/blank" + # Create the required directory structure + # Create directories for multicomm, dataflow, and dataflow overrides + pathlib.Path(tempdir, "mc").mkdir() + pathlib.Path(tempdir, "mc", "http").mkdir() + pathlib.Path(tempdir, "df").mkdir() + # TODO split config part of dataflow into seperate directory + pathlib.Path(tempdir, "config").mkdir() + # Write out multicomm configs + pathlib.Path(tempdir, "mc", "http", "hello_world.json").write_text( + json.dumps( + { + "path": hello_world_url, + "presentation": "json", + "asynchronous": False, + }, + sort_keys=True, + indent=4, + ) + ) + pathlib.Path(tempdir, "mc", "http", "hello_blank.json").write_text( + json.dumps( + { + "path": hello_blank_url, + "presentation": "json", + "asynchronous": False, + }, + sort_keys=True, + indent=4, + ) + ) + # Write out dataflow configs + pathlib.Path(tempdir, "df", "hello_world.json").write_text( + json.dumps( + HELLO_WORLD_DATAFLOW.export(), sort_keys=True, indent=4 + ) + ) + pathlib.Path(tempdir, "df", "hello_blank.json").write_text( + json.dumps( + HELLO_BLANK_DATAFLOW.export(), sort_keys=True, indent=4 + ) + ) + # Start the server + async with ServerRunner.patch(HTTPService.server) as tserver: + cli = await tserver.start( + HTTPService.server.cli( + "-port", + "0", + "-insecure", + "-mc-config", + tempdir, + "-mc-atomic", + ) + ) + self.assertEqual(cli.mc_config, tempdir) + # Verify routes were registered and preform as expected + message: str = "Hello World" + with self.subTest(test=message): + # Check that hello world works + async with self.get(cli, hello_world_url) as response: + self.assertEqual( + {"response": message}, + list((await response.json()).values())[0], + ) + # Check that hello blank works + message: str = "Hello Feedface" + with self.subTest(test=message): + async with self.post( + cli, + hello_blank_url, + json={ + "Feedface": [ + { + "value": "Feedface", + "definition": formatter.op.inputs[ + "data" + ].name, + } + ] + }, + ) as response: + self.assertEqual( + {"Feedface": {"response": message}}, + await response.json(), + ) diff --git a/service/http/tests/test_routes.py b/service/http/tests/test_routes.py index 33a44c6081..8f3b19e695 100644 --- a/service/http/tests/test_routes.py +++ b/service/http/tests/test_routes.py @@ -1,22 +1,35 @@ import os import io +import json import asyncio import tempfile +import unittest from http import HTTPStatus from unittest.mock import patch -from contextlib import asynccontextmanager, AsyncExitStack +from contextlib import asynccontextmanager, ExitStack, AsyncExitStack from typing import AsyncIterator, Tuple, Dict, Any, List, NamedTuple import aiohttp from dffml.repo import Repo -from dffml.base import BaseConfig +from dffml.df.base import ( + op, + BaseConfig, + BaseInputSetContext, + BaseOrchestratorContext, + OperationImplementationContext, +) +from dffml.df.types import Definition, Input, DataFlow, Stage +from dffml.operation.output import GetSingle +from dffml.util.entrypoint import EntrypointNotFound from dffml.model.model import ModelContext, Model from dffml.accuracy import Accuracy from dffml.feature import Features, DefFeature from dffml.source.memory import MemorySource, MemorySourceConfig from dffml.source.source import Sources from dffml.source.csv import CSVSourceConfig +from dffml.util.data import traverse_get +from dffml.util.cli.arg import parse_unknown from dffml.util.entrypoint import entry_point from dffml.util.cli.arg import Arg, parse_unknown from dffml.util.asynctestcase import AsyncTestCase @@ -30,6 +43,12 @@ ) from .common import ServerRunner +from .dataflow import ( + HELLO_BLANK_DATAFLOW, + HELLO_WORLD_DATAFLOW, + formatter, + remap, +) class ServerException(Exception): @@ -331,6 +350,95 @@ async def test_not_found(self): pass # pramga: no cov +class TestRoutesMultiComm(TestRoutesRunning, AsyncTestCase): + OPIMPS = {"formatter": formatter, "get_single": GetSingle, "remap": remap} + + @classmethod + def patch_operation_implementation_load(cls, loading): + try: + return cls.OPIMPS[loading].imp + except KeyError as error: + raise EntrypointNotFound( + f"{loading} not found in {list(cls.OPIMPS.keys())}" + ) from error + + @classmethod + def setUpClass(cls): + super().setUpClass() + cls._exit_stack = ExitStack() + cls.exit_stack = cls._exit_stack.__enter__() + cls.exit_stack.enter_context( + patch( + "dffml.df.base.OperationImplementation.load", + new=cls.patch_operation_implementation_load, + ) + ) + + @classmethod + def tearDownClass(cls): + super().tearDownClass() + cls._exit_stack.__exit__(None, None, None) + + async def test_no_post(self): + url: str = "/some/url" + message: str = "Hello World" + # Test that URL does not exist + with self.assertRaisesRegex(ServerException, "Not Found"): + async with self.get(url): + pass # pramga: no cov + # Register the data flow + async with self.post( + f"/multicomm/self/register", + json={ + "path": url, + "presentation": "json", + "asynchronous": False, + "dataflow": HELLO_WORLD_DATAFLOW.export(), + }, + ) as r: + self.assertEqual(await r.json(), OK) + # Test the URL now does exist + async with self.get(url) as response: + self.assertEqual( + {"response": message}, + list((await response.json()).values())[0], + ) + + async def test_post(self): + url: str = "/some/url" + message: str = "Hello Feedface" + # Test that URL does not exist + with self.assertRaisesRegex(ServerException, "Not Found"): + async with self.get(url): + pass # pramga: no cov + # Register the data flow + async with self.post( + f"/multicomm/self/register", + json={ + "path": url, + "presentation": "json", + "asynchronous": False, + "dataflow": HELLO_BLANK_DATAFLOW.export(), + }, + ) as r: + self.assertEqual(await r.json(), OK) + # Test the URL now does exist (and send data for formatting) + async with self.post( + url, + json={ + "Feedface": [ + { + "value": "Feedface", + "definition": formatter.op.inputs["data"].name, + } + ] + }, + ) as response: + self.assertEqual( + {"Feedface": {"response": message}}, await response.json() + ) + + class TestRoutesSource(TestRoutesRunning, AsyncTestCase): async def setUp(self): await super().setUp() diff --git a/service/http/tests/test_rproxy.py b/service/http/tests/test_rproxy.py new file mode 100644 index 0000000000..ae444bcf53 --- /dev/null +++ b/service/http/tests/test_rproxy.py @@ -0,0 +1,348 @@ +import socket +import asyncio +from unittest.mock import patch +from http import HTTPStatus +from urllib.parse import urlparse +from contextlib import asynccontextmanager, ExitStack + +from dffml.df.base import BaseConfig +from dffml.util.asynctestcase import AsyncTestCase + +from aiohttp import web +from aiohttp import client +from aiohttp.test_utils import AioHTTPTestCase, unittest_run_loop +import aiohttp.client_exceptions +import aiohttp + +from dffml.log import LOGGER + +import logging + +logging.basicConfig(level=logging.DEBUG) + +# From StackOverflow: https://stackoverflow.com/a/52403071 +class ReverseProxyHandlerContext(object): + def __init__( + self, + parent: "ReverseProxyHandler", + *, + hostname: str = None, + address: str = "127.0.0.1", + port: int = 0, + ) -> None: + """ + Hostname must be set in order to resolve subdomains + """ + self.parent = parent + self.hostname = "localhost" if hostname is None else hostname + self.address = address + self.port = port + self.upstream = {} + self.logger = LOGGER.getChild(self.__class__.__qualname__) + + async def wsforward(self, ws_from, ws_to): + async for msg in ws_from: + self.logger.info(">>> msg: %s", msg) + if msg.type == aiohttp.WSMsgType.TEXT: + await ws_to.send_str(msg.data) + elif msg.type == aiohttp.WSMsgType.BINARY: + await ws_to.send_bytes(msg.data) + elif msg.type == aiohttp.WSMsgType.PING: + await ws_to.ping() + elif msg.type == aiohttp.WSMsgType.PONG: + await ws_to.pong() + elif ws_to.closed: + await ws_to.close(code=ws_to.close_code, message=msg.extra) + else: + raise ValueError("Unexpected message type: %s" % (msg,)) + + def subdomain(self, headers): + """ + Helper method for accessing subdomain protion of Host header. Returns + None if header not present or subdomain not present. + """ + host = headers.get("host", False) + if not host: + return None + if not "." in host: + return None + # Check for port + if ":" in host: + host, _port = host.split(":") + # Check to see if host is an ip address. If so then then bail + if all(map(lambda part: part.isdigit(), host.split(".", maxsplit=4))): + return None + # Ensure hostname is present + if not self.hostname in host: + return None + # Discard hostname + host = host[: host.index(self.hostname)] + # Split on . + host = list(filter(lambda part: bool(len(part)), host.split("."))) + return ".".join(host) + + async def handler_proxy(self, req): + headers = req.headers.copy() + self.logger.debug("headers: %s", headers) + + subdomain = self.subdomain(headers) + path = req.path + self.logger.debug("subdomain: %r, path: %r", subdomain, path) + + upstream = self.get_upstream(subdomain, path) + if not upstream: + return web.Response(status=HTTPStatus.NOT_FOUND) + + if ( + headers.get("connection", "").lower() == "upgrade" + and headers.get("upgrade", "").lower() == "websocket" + and req.method == "GET" + ): + # Handle websocket proxy + try: + async with aiohttp.ClientSession( + cookies=req.cookies + ) as client_session: + async with client_session.ws_connect( + upstream + ) as ws_client: + ws_server = web.WebSocketResponse() + await ws_server.prepare(req) + self.loop.create_task( + asyncio.wait( + [ + self.wsforward(ws_server, ws_client), + self.wsforward(ws_client, ws_server), + ], + return_when=asyncio.FIRST_COMPLETED, + ) + ) + return ws_server + except aiohttp.client_exceptions.WSServerHandshakeError: + return web.Response(status=HTTPStatus.NOT_FOUND) + else: + # Handle regular HTTP request proxy + self.logger.debug( + "upstream for (%r): %s", upstream, (subdomain, path) + ) + async with client.request( + req.method, + upstream, + headers=headers, + allow_redirects=False, + data=await req.read(), + ) as res: + self.logger.debug( + "upstream url(%s) status: %d", upstream, res.status + ) + return web.Response( + headers=res.headers, + status=res.status, + body=await res.read(), + ) + return ws_server + + def set_upstream(self, url: str, subdomain: str, path: str): + if not subdomain in self.upstream: + self.upstream[subdomain] = {} + self.upstream[subdomain][path] = url + + def get_upstream(self, subdomain: str, path: str): + paths = self.upstream.get(subdomain, {}) + if not paths: + return False + longest_match = "" + for local_path, upstream in paths.items(): + if path.startswith(local_path) and len(local_path) > len( + longest_match + ): + longest_match = local_path + if not longest_match: + return False + upstream = urlparse(paths[longest_match]) + upstream = upstream._replace( + path=path.replace(longest_match, upstream.path) + ) + return upstream.geturl() + + async def __aenter__(self) -> "ReverseProxyHandlerContext": + self.app = web.Application() + self.app.router.add_route("*", "/{path:.*}", self.handler_proxy) + self.runner = web.AppRunner(self.app) + await self.runner.setup() + self.loop = asyncio.get_event_loop() + self.site = web.TCPSite(self.runner, self.address, self.port) + await self.site.start() + self.address, self.port = self.site._server.sockets[0].getsockname() + return self + + async def __aexit__(self, exc_type, exc_value, traceback): + await self.site.stop() + await self.runner.cleanup() + + +class ReverseProxyHandler(object): + def __init__(self, config: BaseConfig) -> None: + self.config = config + self.logger = LOGGER.getChild(self.__class__.__qualname__) + + def __call__( + self, hostname=None, address="127.0.0.1", port=0 + ) -> "ReverseProxyHandlerContext": + return ReverseProxyHandlerContext( + self, hostname=hostname, address=address, port=port + ) + + +@asynccontextmanager +async def rproxy(self, upstream_path, subdomain, path): + rproxyh = ReverseProxyHandler(BaseConfig()) + async with rproxyh("localhost") as ctx: + ctx.set_upstream( + "http://%s:%d%s" + % (self.server.host, self.server.port, upstream_path), + subdomain="test", + path="/route/this", + ) + yield ctx + + +class TestReverseProxyHandler(AioHTTPTestCase): + + TEST_ADDRESS = "localhost" + PROXY_SUBDOMAIN = "test" + PROXY_PATH = "/route/this" + UPSTREAM_PATH = "/to/here" + + def fake_socket_getaddrinfo( + host, port, family=0, type=0, proto=0, flags=0 + ): + return [ + (socket.AF_INET, socket.SOCK_STREAM, 6, "", ("127.0.0.1", port)) + ] + + @classmethod + def setUpClass(cls): + cls.exit_stack = ExitStack() + cls.exit_stack.__enter__() + cls.exit_stack.enter_context( + patch("socket.getaddrinfo", new=cls.fake_socket_getaddrinfo) + ) + + @classmethod + def tearDownClass(cls): + cls.exit_stack.__exit__(None, None, None) + + async def handler(self, request): + headers = request.headers + if ( + headers.get("connection", "").lower() == "upgrade" + and headers.get("upgrade", "").lower() == "websocket" + and request.method == "GET" + ): + ws = web.WebSocketResponse() + await ws.prepare(request) + + async for msg in ws: + if msg.type == aiohttp.WSMsgType.TEXT: + await ws.send_str(msg.data) + elif msg.type == aiohttp.WSMsgType.BINARY: + await ws.send_bytes(msg.data) + elif msg.type == aiohttp.WSMsgType.PING: + await ws.ping() + elif msg.type == aiohttp.WSMsgType.PONG: + await ws.pong() + elif ws.closed: + await ws.close(code=ws.close_code, message=msg.extra) + + return ws + else: + return web.Response(text=request.path) + + async def get_application(self): + app = web.Application() + app.router.add_get(self.UPSTREAM_PATH + "{path:.*}", self.handler) + return app + + @unittest_run_loop + async def test_not_found(self): + async with rproxy( + self, + self.UPSTREAM_PATH, + subdomain=self.PROXY_SUBDOMAIN, + path=self.PROXY_PATH, + ) as rctx, aiohttp.ClientSession() as session: + url = "http://%s.%s:%d%s" % ( + self.PROXY_SUBDOMAIN + ".not.found", + self.TEST_ADDRESS, + rctx.port, + self.PROXY_PATH, + ) + LOGGER.debug("rproxy url: %s", url) + async with session.get(url) as resp: + self.assertEqual(resp.status, HTTPStatus.NOT_FOUND) + + @unittest_run_loop + async def test_path(self): + async with rproxy( + self, + self.UPSTREAM_PATH, + subdomain=self.PROXY_SUBDOMAIN, + path=self.PROXY_PATH, + ) as rctx, aiohttp.ClientSession() as session: + url = "http://%s.%s:%d%s" % ( + self.PROXY_SUBDOMAIN, + self.TEST_ADDRESS, + rctx.port, + self.PROXY_PATH, + ) + LOGGER.debug("rproxy url: %s", url) + async with session.get(url) as resp: + self.assertEqual(resp.status, HTTPStatus.OK) + text = await resp.text() + self.assertEqual(self.UPSTREAM_PATH, text) + + @unittest_run_loop + async def test_path_joined(self): + async with rproxy( + self, + self.UPSTREAM_PATH, + subdomain=self.PROXY_SUBDOMAIN, + path=self.PROXY_PATH, + ) as rctx, aiohttp.ClientSession() as session: + url = "http://%s.%s:%d%s" % ( + self.PROXY_SUBDOMAIN, + self.TEST_ADDRESS, + rctx.port, + self.PROXY_PATH + "/test/joined", + ) + LOGGER.debug("rproxy url: %s", url) + async with session.get(url) as resp: + self.assertEqual(resp.status, HTTPStatus.OK) + text = await resp.text() + self.assertEqual(self.UPSTREAM_PATH + "/test/joined", text) + + @unittest_run_loop + async def test_websocket(self): + async with rproxy( + self, + self.UPSTREAM_PATH, + subdomain=self.PROXY_SUBDOMAIN, + path=self.PROXY_PATH, + ) as rctx, aiohttp.ClientSession() as session: + url = "http://%s.%s:%d%s" % ( + self.PROXY_SUBDOMAIN, + self.TEST_ADDRESS, + rctx.port, + self.PROXY_PATH, + ) + LOGGER.debug("rproxy url: %s", url) + async with aiohttp.ClientSession() as client_session: + async with client_session.ws_connect(url) as ws: + await ws.send_str(self.UPSTREAM_PATH + "/test/joined") + async for msg in ws: + text = msg.data + self.assertEqual( + self.UPSTREAM_PATH + "/test/joined", text + ) + await ws.close() diff --git a/setup.py b/setup.py index a3439a134e..2fd1cb7e1f 100644 --- a/setup.py +++ b/setup.py @@ -41,8 +41,12 @@ include_package_data=True, zip_safe=False, extras_require={ - "models": ["dffml-model-tensorflow", "dffml-model-scratch"], - "git": ["dffml-feature-git"], + "models": [ + "dffml-model-tensorflow", + "dffml-model-scratch", + "dffml-model-scikit", + ], + "sources": ["dffml-source-mysql"], "dev": [ "coverage", "codecov", @@ -53,7 +57,7 @@ ], }, entry_points={ - "console_scripts": ["dffml = dffml.cli:CLI.main"], + "console_scripts": ["dffml = dffml.cli.cli:CLI.main"], "dffml.source": [ "csv = dffml.source.csv:CSVSource", "json = dffml.source.json:JSONSource", @@ -61,16 +65,16 @@ ], "dffml.port": ["json = dffml.port.json:JSON"], "dffml.service.cli": ["dev = dffml.service.dev:Develop"], + "dffml.config": ["json = dffml.config.json:JSONConfigLoader"], # Data Flow "dffml.operation": [ - "group_by = dffml.operation.output:GroupBy.op", - "get_single = dffml.operation.output:GetSingle.op", - "associate = dffml.operation.output:Associate.op", - ], - "dffml.operation.implementation": [ - "group_by = dffml.operation.output:GroupBy.imp", - "get_single = dffml.operation.output:GetSingle.imp", - "associate = dffml.operation.output:Associate.imp", + # Output + "group_by = dffml.operation.output:GroupBy", + "get_single = dffml.operation.output:GetSingle", + "associate = dffml.operation.output:Associate", + # Mapping + "dffml.mapping.extract = dffml.operation.mapping:mapping_extract_value", + "dffml.mapping.create = dffml.operation.mapping:create_mapping", ], "dffml.kvstore": ["memory = dffml.df.memory:MemoryKeyValueStore"], "dffml.input.network": ["memory = dffml.df.memory:MemoryInputNetwork"], diff --git a/source/mysql/dffml_setup_common.py b/source/mysql/dffml_setup_common.py index e69d565034..7b23474922 100644 --- a/source/mysql/dffml_setup_common.py +++ b/source/mysql/dffml_setup_common.py @@ -12,7 +12,7 @@ AUTHOR_EMAIL = "kjlsudharsana@gmail.com" # Install dffml if it is not installed in development mode INSTALL_REQUIRES = [] + ( - ["dffml>=0.2.1"] + ["dffml>=0.3.0"] if not any( list( map( diff --git a/source/mysql/dffml_source_mysql/version.py b/source/mysql/dffml_source_mysql/version.py index 901e5110b2..bc4ffb3d66 100644 --- a/source/mysql/dffml_source_mysql/version.py +++ b/source/mysql/dffml_source_mysql/version.py @@ -1 +1 @@ -VERSION = "0.0.1" +VERSION = "0.0.2" diff --git a/source/mysql/setup.py b/source/mysql/setup.py index 2f21d98668..0ce91c026f 100644 --- a/source/mysql/setup.py +++ b/source/mysql/setup.py @@ -5,7 +5,7 @@ SETUP_KWARGS["install_requires"] += ["aiomysql>=0.0.20"] SETUP_KWARGS["tests_require"] = ["docker>=4.0.2"] SETUP_KWARGS["entry_points"] = { - "dffml.source": [f"misc = {IMPORT_NAME}.source:MySQLSource"] + "dffml.source": [f"mysql = {IMPORT_NAME}.source:MySQLSource"] } setup(**SETUP_KWARGS) diff --git a/tests/df/test_memory.py b/tests/df/test_memory.py index bd649a5c06..1c40828729 100644 --- a/tests/df/test_memory.py +++ b/tests/df/test_memory.py @@ -17,7 +17,10 @@ class KeyValueStoreWithArgumentsConfig(NamedTuple): @entry_point("withargs") class KeyValueStoreWithArguments(BaseKeyValueStore): - CONTEXT = True + CONTEXT = NotImplementedError + + def __call__(self): + raise NotImplementedError @classmethod def args(cls, args, *above): diff --git a/tests/operation/__init__.py b/tests/operation/__init__.py new file mode 100644 index 0000000000..e69de29bb2 diff --git a/tests/operation/test_mapping.py b/tests/operation/test_mapping.py new file mode 100644 index 0000000000..0c34172348 --- /dev/null +++ b/tests/operation/test_mapping.py @@ -0,0 +1,14 @@ +import unittest + +from dffml.operation.mapping import mapping_extract_value, create_mapping + + +class TestMapping(unittest.TestCase): + def test_extract_value(self): + self.assertEqual( + mapping_extract_value({"key1": {"key2": 42}}, ["key1", "key2"]), + {"value": 42}, + ) + + def test_create(self): + self.assertEqual(create_mapping("key1", 42), {"mapping": {"key1": 42}}) diff --git a/tests/test_cli.py b/tests/test_cli.py index a8dbfc61a1..c5b89ea7a4 100644 --- a/tests/test_cli.py +++ b/tests/test_cli.py @@ -11,6 +11,7 @@ import logging import tempfile import unittest +import contextlib import collections from pathlib import Path from unittest.mock import patch @@ -35,8 +36,7 @@ from dffml.cli import ( Merge, - OperationsAll, - OperationsRepo, + Dataflow, EvaluateAll, EvaluateRepo, Train, @@ -266,7 +266,7 @@ async def test_run(self): self.assertIn(repo.src_url, stdout.getvalue()) -class TestOperationsAll(ReposTestCase): +class TestDataflowRunAllRepos(ReposTestCase): async def test_run(self): self.repo_keys = {"add 40 and 2": 42, "multiply 42 and 10": 420} self.repos = list(map(Repo, self.repo_keys.keys())) @@ -277,28 +277,39 @@ async def test_run(self): await sctx.update(repo) with patch.object( OperationImplementation, "load", opimp_load - ), patch.object(Operation, "load", op_load): - results = await OperationsAll.cli( + ), patch.object( + Operation, "load", op_load + ), tempfile.NamedTemporaryFile( + suffix=".json" + ) as dataflow_file: + dataflow = io.StringIO() + with contextlib.redirect_stdout(dataflow): + await Dataflow.cli( + "create", + "-config", + "json", + *map(lambda op: op.name, OPERATIONS), + ) + dataflow_file.write(dataflow.getvalue().encode()) + dataflow_file.seek(0) + results = await Dataflow.cli( + "run", + "repos", + "all", + "-dataflow", + dataflow_file.name, + "primary=json", "-sources", "primary=json", "-source-filename", self.temp_filename, "-repo-def", "calc_string", - "-remap", - "get_single.result=string_calculator", - "-output-specs", + "-inputs", '["result"]=get_single_spec', - "-dff-memory-operation-network-ops", - *map(lambda op: op.name, OPERATIONS), - "-dff-memory-opimp-network-opimps", - *map(lambda imp: imp.op.name, OPIMPS), ) results = { - result.src_url: result.features(["string_calculator"])[ - "string_calculator" - ] - for result in results + result.src_url: result.feature("result") for result in results } for repo in self.repos: self.assertIn(repo.src_url, results) @@ -307,7 +318,7 @@ async def test_run(self): ) -class TestOperationsRepo(ReposTestCase): +class TestDataflowRunRepoSet(ReposTestCase): async def test_run(self): test_key = "multiply 42 and 10" self.repo_keys = {"add 40 and 2": 42, "multiply 42 and 10": 420} @@ -319,31 +330,42 @@ async def test_run(self): await sctx.update(repo) with patch.object( OperationImplementation, "load", opimp_load - ), patch.object(Operation, "load", op_load): - results = await OperationsRepo.cli( + ), patch.object( + Operation, "load", op_load + ), tempfile.NamedTemporaryFile( + suffix=".json" + ) as dataflow_file: + dataflow = io.StringIO() + with contextlib.redirect_stdout(dataflow): + await Dataflow.cli( + "create", + "-config", + "json", + *map(lambda op: op.name, OPERATIONS), + ) + dataflow_file.write(dataflow.getvalue().encode()) + dataflow_file.seek(0) + results = await Dataflow.cli( + "run", + "repos", + "set", + "-keys", + test_key, + "-dataflow", + dataflow_file.name, + "primary=json", "-sources", "primary=json", "-source-filename", self.temp_filename, - "-keys", - test_key, "-repo-def", "calc_string", - "-remap", - "get_single.result=string_calculator", - "-output-specs", + "-inputs", '["result"]=get_single_spec', - "-dff-memory-operation-network-ops", - *map(lambda op: op.name, OPERATIONS), - "-dff-memory-opimp-network-opimps", - *map(lambda imp: imp.op.name, OPIMPS), ) self.assertEqual(len(results), 1) self.assertEqual( - self.repo_keys[test_key], - results[0].features(["string_calculator"])[ - "string_calculator" - ], + self.repo_keys[test_key], results[0].feature("result") ) diff --git a/tests/test_df.py b/tests/test_df.py index 28575bbeca..7348ea7cc8 100644 --- a/tests/test_df.py +++ b/tests/test_df.py @@ -15,7 +15,8 @@ import collections from itertools import product from datetime import datetime -from contextlib import asynccontextmanager, AsyncExitStack +from unittest.mock import patch, MagicMock +from contextlib import asynccontextmanager, AsyncExitStack, ExitStack from typing import ( AsyncIterator, Dict, @@ -31,16 +32,26 @@ Iterator, ) -from dffml.df.types import Operation, Definition, Input -from dffml.df.linker import Linker +from dffml.df.types import ( + Operation, + Definition, + Input, + FailedToLoadOperation, + DefinitionMissing, + DataFlow, +) from dffml.df.base import ( op, opwraped_in, operation_in, opimp_in, + FailedToLoadOperationImplementation, + OperationImplementation, BaseConfig, BaseRedundancyCheckerConfig, StringInputSetContext, + OperationImplementationNotInstantiable, + OperationImplementationNotInstantiated, ) from dffml.df.memory import ( MemoryInputNetwork, @@ -109,37 +120,40 @@ class TestMemoryKeyValueStore(AsyncTestCase): def setUp(self): self.kvStore = MemoryKeyValueStore(BaseConfig()) - async def test_set(self): + async def test_get_set(self): async with self.kvStore as kvstore: async with kvstore() as ctx: await ctx.set("feed", b"face") - self.assertEqual(self.kvStore.memory.get("feed"), b"face") + self.assertEqual(await ctx.get("feed"), b"face") - async def test_get(self): - self.kvStore.memory["feed"] = b"face" + async def test_get_none(self): async with self.kvStore as kvstore: async with kvstore() as ctx: - self.assertEqual(await ctx.get("feed"), b"face") + self.assertEqual(await ctx.get("feed"), None) class TestMemoryOperationImplementationNetwork(AsyncTestCase): async def setUp(self): - self.operationsNetwork = MemoryOperationImplementationNetwork( - MemoryOperationImplementationNetworkConfig( - operations={"add": add.imp(BaseConfig())} - ) + self.operationsNetwork = MemoryOperationImplementationNetwork.withconfig( + {} ) self.operationsNetworkCtx = await self.operationsNetwork.__aenter__() async def tearDown(self): await self.operationsNetwork.__aexit__(None, None, None) - async def test_contains(self): + async def test_contains_true(self): async with self.operationsNetworkCtx() as ctx: + await ctx.instantiate(add.op, BaseConfig(), opimp=add.imp) self.assertTrue(await ctx.contains(add.op)) + async def test_contains_false(self): + async with self.operationsNetworkCtx() as ctx: + self.assertFalse(await ctx.contains(add.op)) + async def test_run(self): async with self.operationsNetworkCtx() as ctx: + await ctx.instantiate(add.op, BaseConfig(), opimp=add.imp) # No input set context and input network context required to test # the add operation self.assertEqual( @@ -149,17 +163,142 @@ async def test_run(self): ], ) + async def test_not_instantiable(self): + async with self.operationsNetworkCtx() as ctx: + with self.assertRaises(OperationImplementationNotInstantiable): + await ctx.run(None, None, add.op, {"numbers": [40, 2]}) + + async def test_instantiable_but_not_instantiated(self): + async def return_true(*args, **kwargs): + return True + + async with self.operationsNetworkCtx() as ctx: + with self.assertRaises(OperationImplementationNotInstantiated): + with patch.object(ctx, "instantiable", new=return_true): + await ctx.run(None, None, add.op, {"numbers": [40, 2]}) + -class TestLinker(unittest.TestCase): - @classmethod - def setUpClass(cls): - cls.linker = Linker() +class TestOrchestrator(AsyncTestCase): + async def test_run(self): + calc_strings_check = {"add 40 and 2": 42, "multiply 42 and 10": 420} + dataflow = DataFlow.auto(*OPIMPS) + # TODO(p0) Implement and test asyncgenerator + callstyles_no_expand = ["asyncgenerator", "dict"] + callstyles = { + "dict": { + to_calc: [ + Input( + value=to_calc, definition=parse_line.op.inputs["line"] + ), + Input( + value=[add.op.outputs["sum"].name], + definition=GetSingle.op.inputs["spec"], + ), + ] + for to_calc in calc_strings_check.keys() + }, + "list_input_sets": [ + MemoryInputSet( + MemoryInputSetConfig( + ctx=StringInputSetContext(to_calc), + inputs=[ + Input( + value=to_calc, + definition=parse_line.op.inputs["line"], + ), + Input( + value=[add.op.outputs["sum"].name], + definition=GetSingle.op.inputs["spec"], + ), + ], + ) + ) + for to_calc in calc_strings_check.keys() + ], + "uctx": [ + [ + Input( + value=to_calc, definition=parse_line.op.inputs["line"] + ), + Input( + value=[add.op.outputs["sum"].name], + definition=GetSingle.op.inputs["spec"], + ), + ] + for to_calc in calc_strings_check.keys() + ], + } + async with MemoryOrchestrator.withconfig({}) as orchestrator: + async with orchestrator(dataflow) as octx: + for callstyle, inputs in callstyles.items(): + with self.subTest(callstyle=callstyle): + if callstyle in callstyles_no_expand: + run_coro = octx.run(inputs) + else: + run_coro = octx.run(*inputs) + async for ctx, results in run_coro: + ctx_str = (await ctx.handle()).as_string() + if callstyle == "uctx": + self.assertIn( + results[add.op.outputs["sum"].name], + dict( + zip( + calc_strings_check.values(), + calc_strings_check.keys(), + ) + ), + ) + else: + self.assertEqual( + calc_strings_check[ctx_str], + results[add.op.outputs["sum"].name], + ) - def test_resolve(self): - self.linker.resolve(self.linker.export(add.op)) +class MockIterEntryPoints(AsyncTestCase): + def iter_entry_points(self, entrypoint): + for key, value in self.entrypoints[entrypoint].items(): + mock = MagicMock() + mock.name = key + mock.load.return_value = value + yield mock + + async def setUp(self): + self.exit_stack = ExitStack().__enter__() + self.exit_stack.enter_context( + patch( + "pkg_resources.iter_entry_points", new=self.iter_entry_points + ) + ) + + async def tearDown(self): + self.exit_stack.__exit__(None, None, None) + + +class TestOperation(MockIterEntryPoints): + entrypoints = { + "dffml.operation": { + "add": add, + "mult": mult.op, + "parse_line": parse_line.imp, + } + } + + async def test_load(self): + loaded = Operation.load() + self.assertIn(add.op, loaded) + self.assertIn(mult.op, loaded) + self.assertIn(parse_line.op, loaded) + + async def test_load_name_given(self): + self.assertEqual(add.op, Operation.load("add")) + self.assertEqual(mult.op, Operation.load("mult")) + self.assertEqual(parse_line.op, Operation.load("parse_line")) + + +class TestDataFlow(MockIterEntryPoints): def test_export(self): - exported = self.linker.export(add.op) + exported = DataFlow.auto(add).export(linked=True) # Operations self.assertIn("operations", exported) self.assertIn("add", exported["operations"]) @@ -187,39 +326,39 @@ def test_export(self): self.assertEqual("int", exported["definitions"]["result"]["primitive"]) def test_resolve_missing_condition_definition(self): - exported = self.linker.export(add.op) + exported = DataFlow.auto(add).export(linked=True) del exported["definitions"]["is_add"] - with self.assertRaisesRegex(KeyError, "Definition missing"): - self.linker.resolve(exported) + with self.assertRaisesRegex( + DefinitionMissing, "add.conditions.*is_add" + ): + DataFlow._fromdict(**exported) def test_resolve_missing_input_output_definition(self): - exported = self.linker.export(add.op) + exported = DataFlow.auto(add).export(linked=True) del exported["definitions"]["result"] - with self.assertRaisesRegex(KeyError, "Definition missing"): - self.linker.resolve(exported) + with self.assertRaisesRegex(DefinitionMissing, "add.outputs.*result"): + DataFlow._fromdict(**exported) -class TestRunner(AsyncTestCase): - async def test_run(self): - calc_strings_check = {"add 40 and 2": 42, "multiply 42 and 10": 420} - async with MemoryOrchestrator.basic_config(*OPIMPS) as orchestrator: - async with orchestrator() as octx: - for to_calc in calc_strings_check.keys(): - await octx.ictx.sadd( - to_calc, - Input( - value=to_calc, - definition=parse_line.op.inputs["line"], - ), - Input( - value=[add.op.outputs["sum"].name], - definition=GetSingle.op.inputs["spec"], - ), - ) - async for ctx, results in octx.run_operations(): - ctx_str = (await ctx.handle()).as_string() - results = results[GetSingle.op.name] - self.assertEqual( - calc_strings_check[ctx_str], - results[add.op.outputs["sum"].name], - ) +class TestOperationImplementation(MockIterEntryPoints): + entrypoints = { + "dffml.operation": { + "add": add, + "mult": mult.imp, + "parse_line": parse_line.op, + } + } + + async def test_load(self): + loaded = OperationImplementation.load() + self.assertIn(add.imp, loaded) + self.assertIn(mult.imp, loaded) + self.assertNotIn(parse_line.op, loaded) + + async def test_load_name_given(self): + self.assertEqual(add.imp, OperationImplementation.load("add")) + self.assertEqual(mult.imp, OperationImplementation.load("mult")) + + async def test_load_failure(self): + with self.assertRaises(FailedToLoadOperationImplementation): + OperationImplementation.load("parse_line") diff --git a/tests/util/test_cli.py b/tests/util/test_cli.py index 020ac85fb6..8556b32d6e 100644 --- a/tests/util/test_cli.py +++ b/tests/util/test_cli.py @@ -109,8 +109,10 @@ def test_default(self): class UnregisteredObject(object): pass - with self.assertRaisesRegex(TypeError, "not JSON serializable"): - json.dumps(UnregisteredObject, cls=JSONEncoder) + self.assertIn( + "UnregisteredObject", + json.dumps(UnregisteredObject, cls=JSONEncoder), + ) def test_repo(self): self.assertIn("face", json.dumps(Repo("face"), cls=JSONEncoder)) diff --git a/tests/util/test_skel.py b/tests/util/test_skel.py index b745eb7718..5d11fa367d 100644 --- a/tests/util/test_skel.py +++ b/tests/util/test_skel.py @@ -13,7 +13,7 @@ [ (".gitignore",), (".coveragerc",), - ("dffml_setup_common.py",), + ("setup_common.py",), ("MANIFEST.in",), ("REPLACE_IMPORT_PACKAGE_NAME", "version.py"), ("REPLACE_IMPORT_PACKAGE_NAME", "__init__.py"),

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