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# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
import re
from typing import AnyStr
import attr
from ..config import GraphConfig
from ..parameters import Parameters
from ..util.memoize import memoize
from ..util.schema import Schema, validate_schema
@attr.s(frozen=True)
class RepoConfig:
prefix = attr.ib(type=str)
name = attr.ib(type=str)
base_repository = attr.ib(type=str)
head_repository = attr.ib(type=str)
head_ref = attr.ib(type=str)
type = attr.ib(type=str)
path = attr.ib(type=str, default="")
head_rev = attr.ib(type=str, default=None)
ssh_secret_name = attr.ib(type=str, default=None)
@attr.s(frozen=True, cmp=False)
class TransformConfig:
"""
A container for configuration affecting transforms. The `config` argument
to transforms is an instance of this class.
"""
# the name of the current kind
kind = attr.ib()
# the path to the kind configuration directory
path = attr.ib(type=AnyStr)
# the parsed contents of kind.yml
config = attr.ib(type=dict)
# the parameters for this task-graph generation run
params = attr.ib(type=Parameters)
# a dict of all the tasks associated with the kind dependencies of the
# current kind
kind_dependencies_tasks = attr.ib(type=dict)
# Global configuration of the taskgraph
graph_config = attr.ib(type=GraphConfig)
# whether to write out artifacts for the decision task
write_artifacts = attr.ib(type=bool)
@property
@memoize
def repo_configs(self):
repositories = self.graph_config["taskgraph"]["repositories"]
if len(repositories) == 1:
current_prefix = list(repositories.keys())[0]
else:
project = self.params["project"]
matching_repos = {
repo_prefix: repo
for (repo_prefix, repo) in repositories.items()
if re.match(repo["project-regex"], project)
}
if len(matching_repos) != 1:
raise Exception(
f"Couldn't find repository matching project `{project}`"
)
current_prefix = list(matching_repos.keys())[0]
repo_configs = {
current_prefix: RepoConfig(
prefix=current_prefix,
name=repositories[current_prefix]["name"],
base_repository=self.params["base_repository"],
head_repository=self.params["head_repository"],
head_ref=self.params["head_ref"],
head_rev=self.params["head_rev"],
type=self.params["repository_type"],
ssh_secret_name=repositories[current_prefix].get("ssh-secret-name"),
),
}
if len(repositories) != 1:
repo_configs.update(
{
repo_prefix: RepoConfig(
prefix=repo_prefix,
name=repo["name"],
base_repository=repo["default-repository"],
head_repository=repo["default-repository"],
head_ref=repo["default-ref"],
type=repo["type"],
ssh_secret_name=repo.get("ssh-secret-name"),
)
for (repo_prefix, repo) in repositories.items()
if repo_prefix != current_prefix
}
)
return repo_configs
@attr.s()
class TransformSequence:
"""
Container for a sequence of transforms. Each transform is represented as a
callable taking (config, items) and returning a generator which will yield
transformed items. The resulting sequence has the same interface.
This is convenient to use in a file full of transforms, as it provides a
decorator, @transforms.add, that will add the decorated function to the
sequence.
"""
_transforms = attr.ib(factory=list)
def __call__(self, config, items):
for xform in self._transforms:
items = xform(config, items)
if items is None:
raise Exception(f"Transform {xform} is not a generator")
return items
def add(self, func):
self._transforms.append(func)
return func
def add_validate(self, schema):
self.add(ValidateSchema(schema))
@attr.s
class ValidateSchema:
schema = attr.ib(type=Schema)
def __call__(self, config, tasks):
for task in tasks:
if "name" in task:
error = "In {kind} kind task {name!r}:".format(
kind=config.kind, name=task["name"]
)
elif "label" in task:
error = "In job {label!r}:".format(label=task["label"])
elif "primary-dependency" in task:
error = "In {kind} kind task for {dependency!r}:".format(
kind=config.kind, dependency=task["primary-dependency"].label
)
else:
error = "In unknown task:"
validate_schema(self.schema, task, error)
yield task
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