Files
revng-revng/python/revng/pypeline/container.py
Giacomo Vercesi 20059b5f3a pypeline: make Container.serialize selective
Change the `Container.serialize` interface so that it is possible to
supply a list of objects that will be serialized instead of all the ones
in the container.
2026-03-31 17:00:48 +02:00

370 lines
12 KiB
Python

#
# This file is distributed under the MIT License. See LICENSE.md for details.
#
from __future__ import annotations
import base64
import io
import tarfile
from collections.abc import Buffer, Mapping
from dataclasses import dataclass
from enum import StrEnum
from io import StringIO
from pathlib import Path
from typing import Annotated, Generator, Tuple, Type, final
import yaml
from .object import Kind, ObjectID, ObjectSet
from .utils import bytes_to_string, is_mime_type_text, string_to_bytes
from .utils.cabc import ABC, abstractmethod
from .utils.registry import get_singleton
class ContainerFormat(StrEnum):
TAR = "tar"
YAML = "yaml"
@classmethod
def detect_format(cls, data: bytes) -> ContainerFormat:
"""Detect the container format from the given data."""
# Try to detect the format from the data
is_tar = tarfile.is_tarfile(io.BytesIO(data))
if is_tar:
return ContainerFormat.TAR
# Try to decode as yaml
try:
yaml.safe_load(data.decode("utf-8"))
return ContainerFormat.YAML
except yaml.YAMLError:
raise ValueError(f"Cannot detect the container format for {data[:20]!r}")
ContainerID = Annotated[
str,
"""
This is used to identify a container in a savepoint.
This is the name of the container.
""",
]
ConfigurationId = Annotated[
str,
"""
From a pipeline node, this represent the static and runtime configuration of
this node, and all its dependencies. This is used to index the storage provider
in SavePoints.
""",
]
Configuration = Annotated[
str,
"The runtime-configuration of a pipe, most commonly it will be a json / yaml string that"
"the pipe will parse and use to configure itself."
"THIS IS DIFFERENT FROM ConfigurationId.",
]
@dataclass(slots=True, frozen=True, order=True)
class ContainerDeclaration:
"""
A ContainerDeclaration represents a container when describing a pipeline.
It has a name and a type.
Not to be confused with a Container, which is an instance of the container_type.
"""
name: str
container_type: Type[Container]
def instance(self) -> Container:
return self.container_type()
def to_dict(self) -> dict:
"""Convert the data into a dictionary representation."""
return {
"name": self.name,
"type": self.container_type.name,
}
InvalidationList = list[Tuple[ConfigurationId, ContainerDeclaration, ObjectID]]
def group_by_container(
invalidation_list: InvalidationList,
) -> Generator[Tuple[ConfigurationId, ContainerDeclaration, ObjectSet], None, None]:
if len(invalidation_list) == 0:
return
first_configuration_id, first_container, _ = invalidation_list[0]
last = (first_configuration_id, first_container)
def new_object_list():
return ObjectSet(first_container.container_type.kind, set())
object_list: ObjectSet = new_object_list()
for configuration_id, container, obj in invalidation_list:
if last != (configuration_id, container):
# We changed container. Yield what we accumulated so far and prepare a new list
yield (last[0], last[1], object_list)
last = (configuration_id, container)
object_list = new_object_list()
# Record the current object
object_list.add(obj)
# Yield the last group
yield (last[0], last[1], object_list)
class Container(ABC):
"""
A Container contains objects of a certain kind.
"""
name: str
kind: Kind
def __init__(self):
"""
This constructor just makes it explicit that a container should be
able to be initialized without any arguments.
"""
@abstractmethod
def objects(self) -> ObjectSet:
pass
@abstractmethod
def deserialize(self, data: Mapping[ObjectID, Buffer]) -> None:
"""
Ingest data from a serialized format into this container.
This is used to **add** cached objects to this container.
"""
@abstractmethod
def serialize(self, objects: ObjectSet | None = None) -> Mapping[ObjectID, Buffer]:
"""
Dump objects from this container into a serialized format, dump all
objects if none are specified.
"""
@abstractmethod
def set_is_disposable(self):
"""
Sets that the container's content is not going to be used shortly.
This allows calls to `dispose_if_possible` to actually remove the content.
"""
@abstractmethod
def dispose_if_possible(self):
"""
If `set_is_disposable` has been called, prune the container, otherwise do
nothing.
"""
@classmethod
@abstractmethod
def mime_type(cls) -> str:
"""
The mime type of the serialized format of this container.
This is used to inform the storage provider about the type of data
it will be storing.
"""
@classmethod
def is_text(cls) -> bool:
"""
Returns if the serialized format of this container is just
text (e.g. JSON, YAML, etc.) or binary.
This is used to improve transmission performance by avoiding
unnecessary encoding/decoding steps.
"""
return is_mime_type_text(cls.mime_type())
@abstractmethod
def verify(self) -> bool:
pass
def contains_all(self, obj: ObjectSet) -> bool:
"""
Check if an object set is fully contained in this container.
This is a default implementation, the container can probably do it much
more efficiently, so you are supposed to override this method.
"""
assert (
self.kind == obj.kind
), f"Container {self} has kind {self.kind}, but the object set has kind {obj.kind}."
return obj.issubset(self.objects())
@classmethod
@final
def from_dict(cls, data: dict[str, bytes]) -> Container:
# Feed the data in the container
container = cls()
obj_id_type = get_singleton(ObjectID) # type: ignore[type-abstract]
container.deserialize(
{obj_id_type.deserialize(obj_id): content for obj_id, content in data.items()}
)
return container
@classmethod
@final
def from_bytes(cls, data: bytes, container_format: ContainerFormat | None = None) -> Container:
"""
Load a container into a serialized format. If container_format is None,
the format will be detected automatically.
"""
match container_format:
case None:
return cls.from_bytes(
data,
container_format=ContainerFormat.detect_format(data),
)
case ContainerFormat.YAML:
return cls.from_dict(
{
obj_id: string_to_bytes(content, cls.is_text())
for obj_id, content in yaml.safe_load(data.decode("utf-8")).items()
}
)
case ContainerFormat.TAR:
data_dict: dict[str, bytes] = {}
with tarfile.open(fileobj=io.BytesIO(data), mode="r") as tar:
for member in tar.getmembers():
f = tar.extractfile(member)
if f is None:
continue
data_dict[member.name] = f.read()
return cls.from_dict(data_dict)
raise ValueError(f"Unknown container format: {container_format}")
@classmethod
@final
def from_string(
cls,
data: str,
container_format: ContainerFormat = ContainerFormat.YAML,
) -> Container:
"""
Load a container into a serialized format.
"""
match container_format:
case ContainerFormat.YAML:
return cls.from_bytes(data.encode("utf-8"), container_format=container_format)
case ContainerFormat.TAR:
return cls.from_bytes(base64.b64decode(data), container_format=container_format)
raise ValueError(f"Unknown container format: {container_format}")
@classmethod
@final
def from_file(
cls,
path_or_file: str | Path,
container_format: ContainerFormat | None = None,
) -> Container:
"""
Load a container from a serialized format.
This is used to **load** cached objects into this container.
If container_format is None, the format will be detected automatically.
"""
with open(path_or_file, "rb") as f:
return cls.from_bytes(f.read(), container_format=container_format)
@final
def to_dict(self, objects: ObjectSet | None = None) -> dict[str, Buffer]:
if objects is not None:
assert self.contains_all(objects)
else:
objects = self.objects()
return {k.serialize(): v for k, v in self.serialize(objects).items()}
@final
def to_bytes(
self,
objects: ObjectSet | None = None,
container_format: ContainerFormat = ContainerFormat.YAML,
) -> bytes:
"""
Dump a container into a serialized format.
"""
match container_format:
case ContainerFormat.YAML:
with StringIO() as string_stream:
data = {
key: bytes_to_string(buffer, self.is_text())
for key, buffer in self.to_dict(objects).items()
}
yaml.dump(data, string_stream)
return string_stream.getvalue().encode("utf-8")
case ContainerFormat.TAR:
with io.BytesIO() as byte_stream:
with tarfile.open(fileobj=byte_stream, mode="w") as tar:
for obj_id, buffer in self.to_dict(objects).items():
info = tarfile.TarInfo(name=obj_id)
data_bytes = bytes(buffer)
info.size = len(data_bytes)
tar.addfile(tarinfo=info, fileobj=io.BytesIO(data_bytes))
return byte_stream.getvalue()
raise ValueError(f"Unknown container format: {container_format}")
@final
def to_string(
self,
objects: ObjectSet | None = None,
container_format: ContainerFormat = ContainerFormat.YAML,
) -> str:
"""
Dump a container into a serialized format.
"""
data = self.to_bytes(objects, container_format)
match container_format:
case ContainerFormat.YAML:
return data.decode("utf-8")
case ContainerFormat.TAR:
return base64.b64encode(data).decode("utf-8")
raise ValueError(f"Unknown container format: {container_format}")
@final
def to_file(
self,
path: str | Path,
objects: ObjectSet | None = None,
container_format: ContainerFormat | None = None,
) -> None:
"""
Dump a container into a serialized format.
This is used to **save** cached objects from this container.
If container_format is None, the format will be detected automatically.
"""
if container_format is None:
if str(path).endswith(".yaml") or str(path).endswith(".yml"):
container_format = ContainerFormat.YAML
elif str(path).endswith(".tar"):
container_format = ContainerFormat.TAR
else:
raise ValueError(
f"Cannot determine the container_format for {path}.",
)
with open(path, "wb") as f:
f.write(self.to_bytes(objects, container_format))
@classmethod
def type_dict(cls) -> dict:
"""Convert the data into a dictionary representation."""
return {
"class": cls.name,
"mime_type": cls.mime_type(),
"is_text": cls.is_text(),
"kind": cls.kind.serialize(),
}
ContainerSet = Annotated[
dict[ContainerDeclaration, Container],
"""A set of bindings between container declarations and container instances.""",
]