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Functional workflow for LocalRuntime APIs (#1220)
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* WorkFlow functional tests

Signed-off-by: Chaurasiya, Payal <[email protected]>

* Functional workflow

Signed-off-by: Chaurasiya, Payal <[email protected]>

* Workflow all functional tests

Signed-off-by: Chaurasiya, Payal <[email protected]>

* Functional test

Signed-off-by: Chaurasiya, Payal <[email protected]>

* Functional test

Signed-off-by: Chaurasiya, Payal <[email protected]>

* Functional test

Signed-off-by: Chaurasiya, Payal <[email protected]>

* fix python installs

Signed-off-by: Chaurasiya, Payal <[email protected]>

* fix python installs

Signed-off-by: Chaurasiya, Payal <[email protected]>

* fix python installs

Signed-off-by: Chaurasiya, Payal <[email protected]>

* keep import conditional

Signed-off-by: Chaurasiya, Payal <[email protected]>

* Remove extra files

Signed-off-by: Chaurasiya, Payal <[email protected]>

* Remove extra files

Signed-off-by: Chaurasiya, Payal <[email protected]>

* Add copyright message to workflow files

Add copyright message to the top of each file in the "tests/end_to_end/workflow/" folder.

* Add the copyright message to `exclude_flow.py`
* Add the copyright message to `include_exclude_flow.py`
* Add the copyright message to `include_flow.py`
* Add the copyright message to `internal_loop.py`
* Add the copyright message to `private_attr_both.py`
* Add the copyright message to `private_attr_wo_callable.py`
* Add the copyright message to `private_attributes_flow.py`
* Add the copyright message to `reference_exclude.py`
* Add the copyright message to `reference_flow.py`
* Add the copyright message to `reference_include_flow.py`
* Add the copyright message to `subset_flow.py`

Signed-off-by: Chaurasiya, Payal <[email protected]>

* Add copyright

Signed-off-by: Chaurasiya, Payal <[email protected]>

* Review comments fixes

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* docstring

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* docstring

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* Doc string

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* Add comments

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* Review comments

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* Review comments

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---------

Signed-off-by: Chaurasiya, Payal <[email protected]>
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payalcha authored Dec 18, 2024
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95 changes: 95 additions & 0 deletions .github/workflows/wf_functional_e2e.yml
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---
#---------------------------------------------------------------------------
# Workflow to run Task Runner E2E tests via Docker
# Authors - Noopur, Payal Chaurasiya
#---------------------------------------------------------------------------
name: Workflow Functional E2E

on:
pull_request:
branches: [ develop ]
types: [opened, synchronize, reopened, ready_for_review]

workflow_dispatch:
inputs:
num_rounds:
description: "Number of rounds to train"
required: false
default: "2"
type: string
num_collaborators:
description: "Number of collaborators"
required: false
default: "2"
type: string

permissions:
contents: read

# Environment variables common for all the jobs
env:
NUM_ROUNDS: ${{ github.event.inputs.num_rounds || '2' }}
NUM_COLLABORATORS: ${{ github.event.inputs.num_collaborators || '2' }}

jobs:
test_wf_func:
if: github.event.pull_request.draft == false
name: wf_func
runs-on: ubuntu-22.04
timeout-minutes: 15
strategy:
matrix:
python_version: ["3.10"]
fail-fast: false # do not immediately fail if one of the combinations fail

steps:
- name: Checkout OpenFL repository
id: checkout_openfl
uses: actions/[email protected]
with:
fetch-depth: 2 # needed for detecting changes
submodules: "true"
token: ${{ secrets.GITHUB_TOKEN }}

- name: Set up Python
id: setup_python
uses: actions/setup-python@v3
with:
python-version: ${{ matrix.python_version }}

- name: Install dependencies
id: install_dependencies
run: |
python -m pip install --upgrade pip
pip install .
pip install -r test-requirements.txt
pip install -r openfl-tutorials/experimental/workflow/workflow_interface_requirements.txt
- name: Run Work Flow Functional tests
id: run_tests
run: |
python -m pytest -s tests/end_to_end/test_suites/wf_local_func_tests.py \
--num_rounds ${{ env.NUM_ROUNDS }} --num_collaborators ${{ env.NUM_COLLABORATORS }}
echo "Work Flow Functional tests run completed"
- name: Print test summary
id: print_test_summary
if: ${{ always() }}
run: |
export PYTHONPATH="$PYTHONPATH:."
python tests/end_to_end/utils/summary_helper.py
echo "Test summary printed"
- name: Create Tar (exclude cert and data folders)
id: tar_files
if: ${{ always() }}
run: |
tar -cvf result.tar --exclude="cert" --exclude="data" --exclude="__pycache__" $HOME/results
- name: Upload Artifacts
id: upload_artifacts
uses: actions/upload-artifact@v4
if: ${{ always() }}
with:
name: wf_func_${{ github.event.inputs.model_name || 'default_model' }}_python${{ matrix.python_version }}_${{ github.run_id }}
path: result.tar
1 change: 1 addition & 0 deletions .gitignore
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Expand Up @@ -15,4 +15,5 @@ venv/*
.eggs
eggs/*
*.pyi
.metaflow/*
results/*
251 changes: 251 additions & 0 deletions tests/end_to_end/test_suites/wf_local_func_tests.py
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# Copyright 2020-2025 Intel Corporation
# SPDX-License-Identifier: Apache-2.0

import logging
import pytest
import os
import shutil
import random
from metaflow import Step

from tests.end_to_end.utils.common_fixtures import fx_local_federated_workflow, fx_local_federated_workflow_prvt_attr
from tests.end_to_end.workflow.exclude_flow import TestFlowExclude
from tests.end_to_end.workflow.include_exclude_flow import TestFlowIncludeExclude
from tests.end_to_end.workflow.include_flow import TestFlowInclude
from tests.end_to_end.workflow.internal_loop import TestFlowInternalLoop
from tests.end_to_end.workflow.reference_flow import TestFlowReference
from tests.end_to_end.workflow.reference_include_flow import TestFlowReferenceWithInclude
from tests.end_to_end.workflow.reference_exclude import TestFlowReferenceWithExclude
from tests.end_to_end.workflow.subset_flow import TestFlowSubsetCollaborators
from tests.end_to_end.workflow.private_attr_wo_callable import TestFlowPrivateAttributesWoCallable
from tests.end_to_end.workflow.private_attributes_flow import TestFlowPrivateAttributes
from tests.end_to_end.workflow.private_attr_both import TestFlowPrivateAttributesBoth

from tests.end_to_end.utils import wf_helper as wf_helper

log = logging.getLogger(__name__)

def test_exclude_flow(request, fx_local_federated_workflow):
"""
Test if variable is excluded, variables not show in next step
and all other variables will be visible to next step
"""
log.info("Starting test_exclude_flow")
flflow = TestFlowExclude(checkpoint=True)
flflow.runtime = fx_local_federated_workflow.runtime
for i in range(request.config.num_rounds):
log.info(f"Starting round {i}...")
flflow.run()
log.info("Successfully ended test_exclude_flow")


def test_include_exclude_flow(request, fx_local_federated_workflow):
"""
Test variables which are excluded will not show up in next step
Test variables which are included will show up in next step
"""
log.info("Starting test_include_exclude_flow")
flflow = TestFlowIncludeExclude(checkpoint=True)
flflow.runtime = fx_local_federated_workflow.runtime
for i in range(request.config.num_rounds):
log.info(f"Starting round {i}...")
flflow.run()
log.info("Successfully ended test_include_exclude_flow")


def test_include_flow(request, fx_local_federated_workflow):
"""
Test if variable is included, variables will show up in next step
All other variables will not show up
"""
log.info("Starting test_include_flow")
flflow = TestFlowInclude(checkpoint=True)
flflow.runtime = fx_local_federated_workflow.runtime
for i in range(request.config.num_rounds):
log.info(f"Starting round {i}...")
flflow.run()
log.info("Successfully ended test_include_flow")


def test_internal_loop(request, fx_local_federated_workflow):
"""
Verify that through internal loop, rounds to train is set
"""
log.info("Starting test_internal_loop")
model = None
optimizer = None

flflow = TestFlowInternalLoop(model, optimizer, request.config.num_rounds, checkpoint=True)
flflow.runtime = fx_local_federated_workflow.runtime
flflow.run()

expected_flow_steps = [
"join",
"internal_loop",
"agg_model_mean",
"collab_model_update",
"local_model_mean",
"start",
"end",
]

steps_present_in_cli, missing_steps_in_cli, extra_steps_in_cli = wf_helper.validate_flow(
flflow, expected_flow_steps
)

assert len(steps_present_in_cli) == len(expected_flow_steps), "Number of steps fetched from Datastore through CLI do not match the Expected steps provided"
assert len(missing_steps_in_cli) == 0, f"Following steps missing from Datastore: {missing_steps_in_cli}"
assert len(extra_steps_in_cli) == 0, f"Following steps are extra in Datastore: {extra_steps_in_cli}"
assert flflow.end_count == 1, "End function called more than one time"

log.info("\n Summary of internal flow testing \n"
"No issues found and below are the tests that ran successfully\n"
"1. Number of training completed is equal to training rounds\n"
"2. CLI steps and Expected steps are matching\n"
"3. Number of tasks are aligned with number of rounds and number of collaborators\n"
"4. End function executed one time")
log.info("Successfully ended test_internal_loop")


@pytest.mark.parametrize("fx_local_federated_workflow", [("init_collaborator_private_attr_index", "int", None )], indirect=True)
def test_reference_flow(request, fx_local_federated_workflow):
"""
Test reference variables matched through out the flow
"""
log.info("Starting test_reference_flow")
flflow = TestFlowReference(checkpoint=True)
flflow.runtime = fx_local_federated_workflow.runtime
for i in range(request.config.num_rounds):
log.info(f"Starting round {i}...")
flflow.run()
log.info("Successfully ended test_reference_flow")


def test_reference_include_flow(request, fx_local_federated_workflow):
"""
Test reference variables matched if included else not
"""
log.info("Starting test_reference_include_flow")
flflow = TestFlowReferenceWithInclude(checkpoint=True)
flflow.runtime = fx_local_federated_workflow.runtime
for i in range(request.config.num_rounds):
log.info(f"Starting round {i}...")
flflow.run()
log.info("Successfully ended test_reference_include_flow")


def test_reference_exclude_flow(request, fx_local_federated_workflow):
"""
Test reference variables matched if not excluded
"""
log.info("Starting test_reference_exclude_flow")
flflow = TestFlowReferenceWithExclude(checkpoint=True)
flflow.runtime = fx_local_federated_workflow.runtime
for i in range(request.config.num_rounds):
log.info(f"Starting round {i}...")
flflow.run()
log.info("Successfully ended test_reference_exclude_flow")


@pytest.mark.parametrize("fx_local_federated_workflow", [("init_collaborator_private_attr_name", "str", None )], indirect=True)
def test_subset_collaborators(request, fx_local_federated_workflow):
"""
Test the subset of collaborators in a federated workflow.
Parameters:
request (FixtureRequest): The request fixture provides information about the requesting test function.
fx_local_federated_workflow (Fixture): The fixture for the local federated workflow.
Tests:
- Ensure the test starts and ends correctly.
- Verify the number of collaborators matches the expected subset.
- Check that the flow runs for each subset collaborator.
"""
log.info("Starting test_subset_collaborators")
collaborators = fx_local_federated_workflow.collaborators

random_ints = random.sample(range(1, len(collaborators) + 1), len(collaborators))

collaborators = fx_local_federated_workflow.runtime.collaborators
for round_num in range(len(collaborators)):
log.info(f"Starting round {round_num}...")

if os.path.exists(".metaflow"):
shutil.rmtree(".metaflow")

flflow = TestFlowSubsetCollaborators(checkpoint=True, random_ints=random_ints)
flflow.runtime = fx_local_federated_workflow.runtime
flflow.run()
subset_collaborators = flflow.subset_collaborators
collaborators_ran = flflow.collaborators_ran
random_ints = flflow.random_ints
random_ints.remove(len(subset_collaborators))

step = Step(
f"TestFlowSubsetCollaborators/{flflow._run_id}/"
+ "test_valid_collaborators"
)

assert len(list(step)) == len(subset_collaborators), (
f"...Flow only ran for {len(list(step))} "
+ f"instead of the {len(subset_collaborators)} expected "
+ f"collaborators- Testcase Failed."
)
log.info(
f"Found {len(list(step))} tasks for each of the "
+ f"{len(subset_collaborators)} collaborators"
)
log.info(f'subset_collaborators = {subset_collaborators}')
log.info(f'collaborators_ran = {collaborators_ran}')
for collaborator_name in subset_collaborators:
assert collaborator_name in collaborators_ran, (
f"...Flow did not execute for "
+ f"collaborator {collaborator_name}"
+ f" - Testcase Failed."
)

log.info(
f"Testing FederatedFlow - Ending test for validating "
+ f"the subset of collaborators.")
log.info("Successfully ended test_subset_collaborators")


def test_private_attr_wo_callable(request, fx_local_federated_workflow_prvt_attr):
"""
Set private attribute without callable function i.e through direct assignment
"""
log.info("Starting test_private_attr_wo_callable")
flflow = TestFlowPrivateAttributesWoCallable(checkpoint=True)
flflow.runtime = fx_local_federated_workflow_prvt_attr.runtime
for i in range(request.config.num_rounds):
log.info(f"Starting round {i}...")
flflow.run()
log.info("Successfully ended test_private_attr_wo_callable")


@pytest.mark.parametrize("fx_local_federated_workflow", [("init_collaborate_pvt_attr_np", "int", "init_agg_pvt_attr_np" )], indirect=True)
def test_private_attributes(request, fx_local_federated_workflow):
"""
Set private attribute through callable function
"""
log.info("Starting test_private_attributes")
flflow = TestFlowPrivateAttributes(checkpoint=True)
flflow.runtime = fx_local_federated_workflow.runtime
for i in range(request.config.num_rounds):
log.info(f"Starting round {i}...")
flflow.run()
log.info("Successfully ended test_private_attributes")


@pytest.mark.parametrize("fx_local_federated_workflow_prvt_attr", [("init_collaborate_pvt_attr_np", "int", "init_agg_pvt_attr_np" )], indirect=True)
def test_private_attr_both(request, fx_local_federated_workflow_prvt_attr):
"""
Set private attribute through callable function and direct assignment
"""
log.info("Starting test_private_attr_both")
flflow = TestFlowPrivateAttributesBoth(checkpoint=True)
flflow.runtime = fx_local_federated_workflow_prvt_attr.runtime
for i in range(5):
log.info(f"Starting round {i}...")
flflow.run()
log.info("Successfully ended test_private_attr_both")
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