pytorch/.circleci/generate_config_yml.py

196 lines
6.0 KiB
Python
Executable File

#!/usr/bin/env python3
"""
This script is the source of truth for config.yml.
Please see README.md in this directory for details.
"""
import os
import shutil
import sys
from collections import namedtuple
import cimodel.data.simple.docker_definitions
import cimodel.data.simple.mobile_definitions
import cimodel.data.simple.nightly_ios
import cimodel.data.simple.anaconda_prune_defintions
import cimodel.lib.miniutils as miniutils
import cimodel.lib.miniyaml as miniyaml
class File(object):
"""
Verbatim copy the contents of a file into config.yml
"""
def __init__(self, filename):
self.filename = filename
def write(self, output_filehandle):
with open(os.path.join("verbatim-sources", self.filename)) as fh:
shutil.copyfileobj(fh, output_filehandle)
class FunctionGen(namedtuple("FunctionGen", "function depth")):
__slots__ = ()
class Treegen(FunctionGen):
"""
Insert the content of a YAML tree into config.yml
"""
def write(self, output_filehandle):
miniyaml.render(output_filehandle, self.function(), self.depth)
class Listgen(FunctionGen):
"""
Insert the content of a YAML list into config.yml
"""
def write(self, output_filehandle):
miniyaml.render(output_filehandle, self.function(), self.depth)
def horizontal_rule():
return "".join("#" * 78)
class Header(object):
def __init__(self, title, summary=None):
self.title = title
self.summary_lines = summary or []
def write(self, output_filehandle):
text_lines = [self.title] + self.summary_lines
comment_lines = ["# " + x for x in text_lines]
lines = miniutils.sandwich([horizontal_rule()], comment_lines)
for line in filter(None, lines):
output_filehandle.write(line + "\n")
def _for_all_items(items, functor) -> None:
if isinstance(items, list):
for item in items:
_for_all_items(item, functor)
if isinstance(items, dict) and len(items) == 1:
item_type, item = next(iter(items.items()))
functor(item_type, item)
def filter_master_only_jobs(items):
def _is_main_or_master_item(item):
filters = item.get('filters', None)
branches = filters.get('branches', None) if filters is not None else None
branches_only = branches.get('only', None) if branches is not None else None
return ('main' in branches_only or 'master' in branches_only) if branches_only is not None else False
master_deps = set()
def _save_requires_if_master(item_type, item):
requires = item.get('requires', None)
item_name = item.get("name", None)
if not isinstance(requires, list):
return
if _is_main_or_master_item(item) or item_name in master_deps:
master_deps.update([n.strip('"') for n in requires])
def _do_filtering(items):
if isinstance(items, list):
rc = [_do_filtering(item) for item in items]
return [item for item in rc if len(item if item is not None else []) > 0]
assert isinstance(items, dict) and len(items) == 1
item_type, item = next(iter(items.items()))
item_name = item.get("name", None)
item_name = item_name.strip('"') if item_name is not None else None
if not _is_main_or_master_item(item) and item_name not in master_deps:
return None
if 'filters' in item:
item = item.copy()
item.pop('filters')
return {item_type: item}
# Scan of dependencies twice to pick up nested required jobs
# I.e. jobs depending on jobs that main-only job depend on
_for_all_items(items, _save_requires_if_master)
_for_all_items(items, _save_requires_if_master)
return _do_filtering(items)
def generate_required_docker_images(items):
required_docker_images = set()
def _requires_docker_image(item_type, item):
requires = item.get('requires', None)
if not isinstance(requires, list):
return
for requirement in requires:
requirement = requirement.replace('"', '')
if requirement.startswith('docker-'):
required_docker_images.add(requirement)
_for_all_items(items, _requires_docker_image)
return required_docker_images
def gen_build_workflows_tree():
build_workflows_functions = [
cimodel.data.simple.mobile_definitions.get_workflow_jobs,
cimodel.data.simple.nightly_ios.get_workflow_jobs,
cimodel.data.simple.anaconda_prune_defintions.get_workflow_jobs,
]
build_jobs = [f() for f in build_workflows_functions]
build_jobs.extend(
cimodel.data.simple.docker_definitions.get_workflow_jobs(
# sort for consistency
sorted(generate_required_docker_images(build_jobs))
)
)
master_build_jobs = filter_master_only_jobs(build_jobs)
rc = {
"workflows": {
"build": {
"when": r"<< pipeline.parameters.run_build >>",
"jobs": build_jobs,
},
}
}
if len(master_build_jobs) > 0:
rc["workflows"]["master_build"] = {
"when": r"<< pipeline.parameters.run_master_build >>",
"jobs": master_build_jobs,
}
return rc
# Order of this list matters to the generated config.yml.
YAML_SOURCES = [
File("header-section.yml"),
File("commands.yml"),
File("nightly-binary-build-defaults.yml"),
Header("Build parameters"),
File("build-parameters/pytorch-build-params.yml"),
File("build-parameters/binary-build-params.yml"),
Header("Job specs"),
File("job-specs/binary-job-specs.yml"),
File("job-specs/job-specs-custom.yml"),
File("job-specs/binary_update_htmls.yml"),
File("job-specs/binary-build-tests.yml"),
File("job-specs/docker_jobs.yml"),
Header("Workflows"),
Treegen(gen_build_workflows_tree, 0),
]
def stitch_sources(output_filehandle):
for f in YAML_SOURCES:
f.write(output_filehandle)
if __name__ == "__main__":
stitch_sources(sys.stdout)