fune/taskcluster/taskgraph/util/schema.py

# 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
import pprint
import collections
import collections.abc
import voluptuous


import taskgraph

from .keyed_by import evaluate_keyed_by


def validate_schema(schema, obj, msg_prefix):
    """
    Validate that object satisfies schema.  If not, generate a useful exception
    beginning with msg_prefix.
    """
    if taskgraph.fast:
        return
    try:
        schema(obj)
    except voluptuous.MultipleInvalid as exc:
        msg = [msg_prefix]
        for error in exc.errors:
            msg.append(str(error))
        raise Exception("\n".join(msg) + "\n" + pprint.pformat(obj))


def optionally_keyed_by(*arguments):
    """
    Mark a schema value as optionally keyed by any of a number of fields.  The
    schema is the last argument, and the remaining fields are taken to be the
    field names.  For example:

        'some-value': optionally_keyed_by(
            'test-platform', 'build-platform',
            Any('a', 'b', 'c'))

    The resulting schema will allow nesting of `by-test-platform` and
    `by-build-platform` in either order.
    """
    schema = arguments[-1]
    fields = arguments[:-1]

    def validator(obj):
        if isinstance(obj, dict) and len(obj) == 1:
            k, v = list(obj.items())[0]
            if k.startswith("by-") and k[len("by-") :] in fields:
                res = {}
                for kk, vv in v.items():
                    try:
                        res[kk] = validator(vv)
                    except voluptuous.Invalid as e:
                        e.prepend([k, kk])
                        raise
                return res
        return Schema(schema)(obj)

    return validator


def resolve_keyed_by(
    item, field, item_name, defer=None, enforce_single_match=True, **extra_values
):
    """
    For values which can either accept a literal value, or be keyed by some
    other attribute of the item, perform that lookup and replacement in-place
    (modifying `item` directly).  The field is specified using dotted notation
    to traverse dictionaries.

    For example, given item::

        job:
            test-platform: linux128
            chunks:
                by-test-platform:
                    macosx-10.11/debug: 13
                    win.*: 6
                    default: 12

    a call to `resolve_keyed_by(item, 'job.chunks', item['thing-name'])`
    would mutate item in-place to::

        job:
            test-platform: linux128
            chunks: 12

    Items can be nested as deeply as the schema will allow::

        chunks:
            by-test-platform:
                win.*:
                    by-project:
                        ash: ..
                        cedar: ..
                linux: 13
                default: 12

    Args:
        item (dict): Object being evaluated.
        field (str): Name of the key to perform evaluation on.
        item_name (str): Used to generate useful error messages.
        defer (list):
            Allows evaluating a by-* entry at a later time. In the example
            above it's possible that the project attribute hasn't been set yet,
            in which case we'd want to stop before resolving that subkey and
            then call this function again later. This can be accomplished by
            setting `defer=["project"]` in this example.
        enforce_single_match (bool):
            If True (default), each task may only match a single arm of the
            evaluation.
        extra_values (kwargs):
            If supplied, represent additional values available
            for reference from by-<field>.

    Returns:
        dict: item which has also been modified in-place.
    """
    # find the field, returning the item unchanged if anything goes wrong
    container, subfield = item, field
    while "." in subfield:
        f, subfield = subfield.split(".", 1)
        if f not in container:
            return item
        container = container[f]
        if not isinstance(container, dict):
            return item

    if subfield not in container:
        return item

    container[subfield] = evaluate_keyed_by(
        value=container[subfield],
        item_name=f"`{field}` in `{item_name}`",
        defer=defer,
        enforce_single_match=enforce_single_match,
        attributes=dict(item, **extra_values),
    )

    return item


# Schemas for YAML files should use dashed identifiers by default.  If there are
# components of the schema for which there is a good reason to use another format,
# they can be whitelisted here.
WHITELISTED_SCHEMA_IDENTIFIERS = [
    # upstream-artifacts are handed directly to scriptWorker, which expects interCaps
    lambda path: "[{!r}]".format("upstream-artifacts") in path,
    lambda path: (
        "[{!r}]".format("test_name") in path
        or "[{!r}]".format("json_location") in path
        or "[{!r}]".format("video_location") in path
    ),
]


def check_schema(schema):
    identifier_re = re.compile("^[a-z][a-z0-9-]*$")

    def whitelisted(path):
        return any(f(path) for f in WHITELISTED_SCHEMA_IDENTIFIERS)

    def iter(path, sch):
        def check_identifier(path, k):
            if k in (str, str, voluptuous.Extra):
                pass
            elif isinstance(k, voluptuous.NotIn):
                pass
            elif isinstance(k, str):
                if not identifier_re.match(k) and not whitelisted(path):
                    raise RuntimeError(
                        "YAML schemas should use dashed lower-case identifiers, "
                        "not {!r} @ {}".format(k, path)
                    )
            elif isinstance(k, (voluptuous.Optional, voluptuous.Required)):
                check_identifier(path, k.schema)
            elif isinstance(k, (voluptuous.Any, voluptuous.All)):
                for v in k.validators:
                    check_identifier(path, v)
            elif not whitelisted(path):
                raise RuntimeError(
                    "Unexpected type in YAML schema: {} @ {}".format(
                        type(k).__name__, path
                    )
                )

        if isinstance(sch, collections.abc.Mapping):
            for k, v in sch.items():
                child = f"{path}[{k!r}]"
                check_identifier(child, k)
                iter(child, v)
        elif isinstance(sch, (list, tuple)):
            for i, v in enumerate(sch):
                iter(f"{path}[{i}]", v)
        elif isinstance(sch, voluptuous.Any):
            for v in sch.validators:
                iter(path, v)

    iter("schema", schema.schema)


class Schema(voluptuous.Schema):
    """
    Operates identically to voluptuous.Schema, but applying some taskgraph-specific checks
    in the process.
    """

    def __init__(self, *args, **kwargs):
        super().__init__(*args, **kwargs)
        if not taskgraph.fast:
            check_schema(self)

    def extend(self, *args, **kwargs):
        schema = super().extend(*args, **kwargs)
        check_schema(schema)
        # We want twice extend schema to be checked too.
        schema.__class__ = Schema
        return schema

    def _compile(self, schema):
        if taskgraph.fast:
            return
        return super()._compile(schema)

    def __getitem__(self, item):
        return self.schema[item]


# shortcut for a string where task references are allowed
taskref_or_string = voluptuous.Any(
    str,
    {voluptuous.Required("task-reference"): str},
    {voluptuous.Required("artifact-reference"): str},
)