import pathlib
from dffml import op, DataFlow, Input, Definition, GetSingle
from dffml_feature_git.feature.operations import clone_git_repo
@op(
inputs={"repo": clone_git_repo.op.outputs["repo"]},
outputs={
"result": Definition(name="has_package_cargo_result", primitive="bool")
},
)
def has_package_cargo(repo: clone_git_repo.op.outputs["repo"].spec):
return {
"result":
pathlib.Path(repo.directory, "cargo.toml").is_file()
or pathlib.Path(repo.directory, "Cargo.toml").is_file()
}
DATAFLOW = DataFlow.auto(has_package_cargo, GetSingle)
DATAFLOW.seed.append(
Input(
value=[
has_package_cargo.op.outputs["result"].name,
],
definition=GetSingle.op.inputs["spec"],
))
@op(
import json
import os
import tempfile
import urllib.parse
from pathlib import Path
from typing import Dict, Any
from dffml import op, Definition, run_command
package_src_dir = Definition(name="package_src_dir", primitive="str")
dependency_check_output = Definition(name="dependency_check_output",
primitive="Dict[str, Any]")
class DependencyCheckError(Exception):
"""
Raised when dependency-check fails
"""
@op(
inputs={"pkg": package_src_dir},
outputs={"report": dependency_check_output},
)
async def run_dependency_check(self, pkg: str) -> Dict[str, Any]:
"""
CLI usage: dffml service dev run -log debug shouldi.dependency_check:run_dependency_check -pkg .
"""
with tempfile.TemporaryDirectory() as tempdir:
# Define command
cmd = [
import asyncio
import tempfile
from dffml import op, Definition
@op(
inputs={
"input_file": Definition(name="input_file", primitive="bytes"),
"resolution": Definition(name="resolution", primitive="int"),
},
outputs={"output_file": Definition(name="output_file", primitive="bytes")},
)
async def convert_to_gif(input_file, resolution):
temp_input_file = tempfile.NamedTemporaryFile(prefix="ffmpeg-")
temp_input_file.write(input_file)
temp_input_file.seek(0)
proc = await asyncio.create_subprocess_exec(
"ffmpeg",
"-ss",
"0.3",
"-t",
"10",
"-i",
temp_input_file.name,
"-y",
"-vf",
f"fps=10,scale={resolution}:-1:flags=lanczos,split[s0][s1];[s0]palettegen[p];[s1][p]paletteuse",
"-loop",
"0",
"-f",
from dffml import Definition UUID = Definition(name="uuid", primitive="string") NAME = Definition(name="name", primitive="string") STATIC_ANALYSIS = Definition(name="staticAnalysis", primitive="string") LEGEL = Definition(name="legal", primitive="string")
import pathlib
from dffml import op, DataFlow, Input, Definition, GetSingle
from dffml_feature_git.feature.operations import clone_git_repo
@op(
inputs={"repo": clone_git_repo.op.outputs["repo"]},
outputs={
"result": Definition(name="has_setup_py_result", primitive="bool")
},
)
def has_setup_py(repo: clone_git_repo.op.outputs["repo"].spec):
return {"result": pathlib.Path(repo.directory, "setup.py").is_file()}
DATAFLOW_ID_PYTHON = DataFlow.auto(has_setup_py, GetSingle)
DATAFLOW_ID_PYTHON.seed.append(
Input(
value=[
has_setup_py.op.outputs["result"].name,
],
definition=GetSingle.op.inputs["spec"],
))
@op(
inputs={"repo": clone_git_repo.op.outputs["repo"]},
outputs={"python": Definition(name="repo_is_python", primitive="string")},
)
async def check_python(self, repo):
async def test_config_default_label(self):
with patch.object(BaseKeyValueStore, "load", load_kvstore_with_args):
was = MemoryRedundancyChecker.config(await parse_unknown(
"--rchecker-memory-kvstore",
"withargs",
"--rchecker-memory-kvstore-withargs-filename",
"somefile",
))
self.assertEqual(type(was), MemoryRedundancyCheckerConfig)
self.assertEqual(type(was.kvstore), KeyValueStoreWithArguments)
self.assertEqual(type(was.kvstore.config),
KeyValueStoreWithArgumentsConfig)
self.assertEqual(was.kvstore.config.filename, "somefile")
CONDITION = Definition(name="condition", primitive="boolean")
class TestMemoryOrchestrator(AsyncTestCase):
async def test_condition_does_run(self):
ran = []
@op(conditions=[CONDITION])
async def condition_test(hi: str):
ran.append(True)
async with MemoryOrchestrator() as orchestrator:
async with orchestrator(DataFlow(condition_test)) as octx:
async for _ in octx.run([
Input(
value=True,
},
"Washington": {
"url":
"https://www2.census.gov/programs-surveys/popest/datasets/2010-2019/cities/totals/sub-est2019_53.csv",
"expected_sha384_hash":
"b426810c8438585c67057c5073281fce6b20d6bf013370256d6dbdcc4ad0b92c7d673c1e7d6e2a1d14e59f7bbc6599ad",
},
"Illinois": {
"url":
"https://www2.census.gov/programs-surveys/popest/datasets/2010-2019/cities/totals/sub-est2019_17.csv",
"expected_sha384_hash":
"a55edf7f31ccdc792d183bb0c1dccbc55f6cfb5d518502e3fc5278d230a0174a741ae625d2b00e650dc1d8cd39f2e989",
},
}
temperature_def = Definition(name="temperature", primitive="generic")
population_def = Definition(name="population", primitive="generic")
@op(outputs={"temperature": temperature_def})
async def lookup_temperature(self, city: str, month: int):
if city not in temperature_dataset_urls:
raise Exception(f"City: {city} not found in dataset")
cache_dir = (pathlib.Path("~", ".cache", "dffml", "datasets",
"temperature").expanduser().resolve())
filepath = await cached_download(
temperature_dataset_urls[city]["url"],
cache_dir / f"{city}.json",
temperature_dataset_urls[city]["expected_sha384_hash"],
from dffml import op, Definition
from .definitions import UUID
class ExampleAPIServer(httptest.Handler):
def do_GET(self):
self.send_response(200)
self.send_header("Content-type", "text/plain")
self.end_headers()
self.wfile.write(random.choice(["PASS", "FAIL"]).encode())
@httptest.Server(ExampleAPIServer)
async def make_request_to_example_server(session, ts=httptest.NoServer()):
async with session.get(ts.url()) as resp:
return (await resp.read()).decode()
@op(
inputs={"uuid": UUID},
outputs={"result": Definition(name="api_result", primitive="string")},
imp_enter={
"session": (lambda self: aiohttp.ClientSession(trust_env=True))
},
)
async def query_an_api(self, uuid: str, ts=httptest.NoServer()) -> str:
return {
"result": await make_request_to_example_server(self.parent.session)
}
import asyncio
from dffml import Definition, DataFlow, Input, op
from dffml.noasync import run
OBJ = Definition(name="obj", primitive="mapping")
LOCKED_OBJ = Definition(name="locked_obj", primitive="mapping", lock=True)
SLEEP_TIME = Definition(name="sleep_time", primitive="int")
INTEGER = Definition(name="integer", primitive="int")
@op(inputs={"obj": OBJ, "sleep_for": SLEEP_TIME, "i": INTEGER})
async def run_me(obj: dict, sleep_for: int, i: int) -> None:
obj["i"] = i
await asyncio.sleep(sleep_for)
print(f"set i = {i}, got i = {obj['i']}")
print("Running dataflow without locked object")
for ctx, result in run(
DataFlow(run_me),
[
Input(value={}, definition=OBJ),
Input(value=0.1, definition=SLEEP_TIME),
Input(value=0.2, definition=SLEEP_TIME),
Input(value=1, definition=INTEGER),
Input(value=2, definition=INTEGER),
],
):
pass
print("Running dataflow with locked object")
import json
import asyncio
from typing import Dict, Any
from dffml import op, Definition
package_src_dir = Definition(name="package_src_dir", primitive="str")
golangci_lint_output = Definition(
name="golangci_lint_output", primitive="Dict[str, Any]"
)
class GoLangCILintError(Exception):
"""
Raised when golangci-lint fails
"""
@op(inputs={"pkg": package_src_dir}, outputs={"report": golangci_lint_output})
async def run_golangci_lint(pkg: str) -> Dict[str, Any]:
"""
CLI usage: dffml service dev run -log debug shouldi.golangci_lint:run_golangci_lint -pkg .
"""
proc = await asyncio.create_subprocess_exec(
"golangci-lint",
"run",
"--out-format",
"json",
"./...",
cwd=pkg,
stdout=asyncio.subprocess.PIPE,
import shutil
import tempfile
from typing import Dict, Any
import aiohttp
from dffml import op, Definition, Stage
from .safety import package, package_version
from .bandit import package_src_dir
package_json = Definition(name="package_json", primitive="Dict[str, Any]")
package_url = Definition(name="package_url", 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"
import io
import re
import json
import tempfile
import contextlib
from aiohttp import ClientSession, ClientTimeout
from dffml.cli.cli import CLI
from dffml import op, config, Definition, BaseSecret
ACCESSTOKEN = Definition(name="access_token", primitive="str")
ROOMNAME = Definition(name="room_name", primitive="str")
ROOMID = Definition(name="room_id", primitive="str")
MESSAGE = Definition(name="message", primitive="str")
TOSEND = Definition(name="to_send", primitive="str")
@config
class GitterChannelConfig:
secret: BaseSecret
@op(
inputs={"room_uri": ROOMNAME},
outputs={"room_id": ROOMID},
config_cls=GitterChannelConfig,
imp_enter={
"secret": lambda self: self.config.secret,
"session": lambda self: ClientSession(trust_env=True),
},
ctx_enter={"sctx": lambda self: self.parent.secret()},
import pathlib
from dffml import op, DataFlow, Input, Definition, GetSingle
from dffml_feature_git.feature.operations import clone_git_repo
@op(
inputs={"repo": clone_git_repo.op.outputs["repo"]},
outputs={
"result": Definition(name="has_package_json_result", primitive="bool")
},
)
def has_package_json(repo: clone_git_repo.op.outputs["repo"].spec):
return {"result": pathlib.Path(repo.directory, "package.json").is_file()}
DATAFLOW = DataFlow.auto(has_package_json, GetSingle)
DATAFLOW.seed.append(
Input(
value=[
has_package_json.op.outputs["result"].name,
],
definition=GetSingle.op.inputs["spec"],
))
@op(
inputs={"repo": clone_git_repo.op.outputs["repo"]},
outputs={
"javascript": Definition(name="repo_is_javascript", primitive="string")
},
import sys
import json
import asyncio
from typing import Dict, Any
from dffml import op
from dffml import Definition
package_src_dir = Definition(name="package_src_dir", primitive="str")
bandit_output = Definition(name="bandit_output", primitive="Dict[str, Any]")
@op(inputs={"pkg": package_src_dir}, outputs={"report": bandit_output})
async def run_bandit(pkg: str) -> Dict[str, Any]:
"""
CLI usage: dffml service dev run -log debug shouldi.bandit:run_bandit -pkg .
"""
proc = await asyncio.create_subprocess_exec(
sys.executable,
"-m",
"bandit",
"-r",
"-f",
"json",
pkg,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
)
stdout, _stderr = await proc.communicate()
if len(stdout) == 0:
import sys
import json
import asyncio
from typing import Dict, Any
from dffml import op
from dffml import Definition
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")
@op(
name="safety_check",
inputs={
"package": package,
"version": package_version
},
outputs={"issues": safety_check_number_of_issues},
conditions=[],
)
async def safety_check(package: str, version: str) -> Dict[str, Any]:
pinned = f"{package}=={version}"
proc = await asyncio.create_subprocess_exec(
sys.executable,
"-m",
"safety",
"check",
import json
import asyncio
from typing import Dict, Any
from dffml import op, Definition
package_src_dir = Definition(name="package_src_dir", primitive="str")
cargo_audit_output = Definition(name="cargo_audit_output",
primitive="Dict[str, Any]")
class CargoAuditError(Exception):
"""
Raised when cargo-audit fails
"""
async def run_cargo_build(pkg_input: str):
new_proc = await asyncio.create_subprocess_exec(
"cargo",
"build",
"--release",
cwd=pkg_input,
stdout=asyncio.subprocess.PIPE,
stderr=asyncio.subprocess.PIPE,
)
stdout, stderr = await new_proc.communicate()
if new_proc.returncode != 0:
raise Exception(stderr.decode())
from dffml import Definition
from typing import NamedTuple
class SAResultsSpec(NamedTuple):
"""
Static analysis results for a language
"""
critical: int
high: int
medium: int
low: int
report: dict
SA_RESULTS = Definition(
name="static_analysis", primitive="string", spec=SAResultsSpec,
)
