SatQuery-AI / satquery_agent /model_artifacts.py
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"""Local-first resolution for the private CodeBlueX model artifacts."""
from __future__ import annotations
import hashlib
import os
import shutil
import threading
from contextlib import contextmanager
from dataclasses import dataclass
from pathlib import Path, PurePosixPath
from types import MappingProxyType
from typing import Any, Callable, Iterator, Mapping, Optional
PRIVATE_MODEL_REPOSITORY = "AnirudhShashikumar/SatQuery_AI_Models"
SATQUERY_VISION_ENCODER_V1 = "satquery_vision_encoder_v1"
RSVQA_SPECIALIST_V1 = "rsvqa_specialist_v1"
GROUNDING_SPECIALIST_V1_1 = "grounding_specialist_v1_1"
PIX2PIX_SAR_TRANSLATION = "pix2pix_sar_translation"
SARFUSIONFORMER_SAR_TRANSLATION = "sarfusionformer_sar_translation"
SARFUSIONFORMER_COLOR_CORRECTOR = "sarfusionformer_color_corrector"
@dataclass(frozen=True)
class ModelArtifact:
key: str
name: str
repository_path: str
sha256: str
CODEBLUEX_ARTIFACTS: Mapping[str, ModelArtifact] = MappingProxyType(
{
SATQUERY_VISION_ENCODER_V1: ModelArtifact(
key=SATQUERY_VISION_ENCODER_V1,
name="SatQuery Vision Encoder v1 adapter",
repository_path="satquery_vision_encoder_v1/satquery_vision_encoder_v1_adapter.pt",
sha256="a99c0bf0fb44044988ef1698483888c8a2e3a047d2d2d56478837575cf7626ea",
),
RSVQA_SPECIALIST_V1: ModelArtifact(
key=RSVQA_SPECIALIST_V1,
name="RSVQA Specialist v1 head",
repository_path="rsvqa_specialist_v1/rsvqa_specialist_v1_head.pt",
sha256="71c0ab56ee650813bd495e8a3bc777353b6907a097af860e417f60523efe56ad",
),
GROUNDING_SPECIALIST_V1_1: ModelArtifact(
key=GROUNDING_SPECIALIST_V1_1,
name="Grounding Specialist v1.1 head",
repository_path="grounding_specialist_v1_1/grounding_specialist_v1_1_head.pt",
sha256="5e8db30becadb1d063fc0154614ee2a2a4b7a2c2923db3fce4ff036c65007342",
),
PIX2PIX_SAR_TRANSLATION: ModelArtifact(
key=PIX2PIX_SAR_TRANSLATION,
name="Pix2Pix SAR reconstruction checkpoint",
repository_path="sar_translation/pix2pix/pix2pix_gen_180.pth",
sha256="5bdc6bf9b29986860d6537265280bb47b74f85ebe1222256ddc59acce3a743b3",
),
SARFUSIONFORMER_SAR_TRANSLATION: ModelArtifact(
key=SARFUSIONFORMER_SAR_TRANSLATION,
name="SARFusionFormer SAR reconstruction checkpoint",
repository_path="sar_translation/sarfusionformer/sarfusionformer_256_decoder_best.pt",
sha256="6c8ac2d482b66877a910a9c95e6398f9e0586f13f786d0243c736a2d10b30548",
),
SARFUSIONFORMER_COLOR_CORRECTOR: ModelArtifact(
key=SARFUSIONFORMER_COLOR_CORRECTOR,
name="SARFusionFormer color-corrector checkpoint",
repository_path="sar_translation/sarfusionformer/color_corrector_256_best.pt",
sha256="15298976fbffe93c16d81716c40fe3c7a09499e63e649edd4de9a1fd70ec675d",
),
}
)
class ModelArtifactError(RuntimeError):
"""Base class for credential-safe artifact resolution failures."""
class UnknownModelArtifactError(ModelArtifactError):
"""Raised when a caller requests an artifact outside the CodeBlueX allowlist."""
class ModelArtifactChecksumError(ModelArtifactError):
"""Raised when an existing or downloaded artifact has the wrong identity."""
class ModelArtifactAuthenticationError(ModelArtifactError):
"""Raised when a private download is needed but no environment token exists."""
class ModelArtifactMissingError(ModelArtifactError):
"""Raised when an explicit local override is absent and cannot be replaced."""
class ModelArtifactDownloadError(ModelArtifactError):
"""Raised when the private repository cannot provide the requested artifact."""
class ModelArtifactFilesystemError(ModelArtifactError):
"""Raised when a verified artifact cannot be published to its local path."""
DownloadFunction = Callable[..., Any]
def sha256_file(path: Path) -> str:
digest = hashlib.sha256()
try:
with path.open("rb") as stream:
for chunk in iter(lambda: stream.read(1024 * 1024), b""):
digest.update(chunk)
except OSError as error:
raise ModelArtifactFilesystemError(f"Could not read model artifact {path.name}.") from error
return digest.hexdigest()
@contextmanager
def _exclusive_file_lock(path: Path) -> Iterator[None]:
"""Serialize publication across workers while keeping local reads lock-free."""
try:
import fcntl
with path.open("a+b") as lock_stream:
fcntl.flock(lock_stream.fileno(), fcntl.LOCK_EX)
try:
yield
finally:
fcntl.flock(lock_stream.fileno(), fcntl.LOCK_UN)
except ModelArtifactError:
raise
except OSError as error:
raise ModelArtifactFilesystemError("Could not lock the local model artifact directory.") from error
class ModelArtifactResolver:
"""Resolve pinned artifacts locally, downloading only an absent allowlisted file."""
def __init__(
self,
*,
repository_id: str = PRIVATE_MODEL_REPOSITORY,
artifacts: Mapping[str, ModelArtifact] = CODEBLUEX_ARTIFACTS,
environment: Optional[Mapping[str, str]] = None,
downloader: Optional[DownloadFunction] = None,
models_root: Optional[Path] = None,
) -> None:
self.repository_id = repository_id
self.artifacts = dict(artifacts)
self.environment = environment if environment is not None else os.environ
self.downloader = downloader
self.models_root = (models_root or Path(__file__).resolve().parents[1] / "models").resolve()
def _artifact(self, key: str) -> ModelArtifact:
try:
artifact = self.artifacts[key]
except KeyError:
raise UnknownModelArtifactError(
f"{key!r} is not an allowlisted CodeBlueX model artifact."
) from None
repository_path = PurePosixPath(artifact.repository_path)
if repository_path.is_absolute() or ".." in repository_path.parts:
raise UnknownModelArtifactError(f"Unsafe repository path configured for {artifact.name}.")
return artifact
def _default_path(self, artifact: ModelArtifact) -> Path:
return self.models_root.joinpath(*PurePosixPath(artifact.repository_path).parts)
@staticmethod
def _verify_existing(path: Path, artifact: ModelArtifact) -> Optional[Path]:
if not path.exists():
return None
if not path.is_file():
raise ModelArtifactFilesystemError(
f"Expected {artifact.name} to be a regular file at {path}."
)
actual = sha256_file(path)
if actual != artifact.sha256:
raise ModelArtifactChecksumError(
f"Local {artifact.name} failed SHA-256 verification; expected {artifact.sha256}, received {actual}."
)
return path
def _download_function(self) -> DownloadFunction:
if self.downloader is not None:
return self.downloader
try:
from huggingface_hub import hf_hub_download
except ImportError:
raise ModelArtifactDownloadError(
"huggingface_hub is required to retrieve missing private model artifacts."
) from None
return hf_hub_download
def resolve(
self,
key: str,
*,
local_path: Optional[Path] = None,
download_if_missing: bool = True,
) -> Path:
artifact = self._artifact(key)
target = (local_path or self._default_path(artifact)).expanduser().resolve()
verified = self._verify_existing(target, artifact)
if verified is not None:
return verified
if not download_if_missing:
raise ModelArtifactMissingError(
f"Explicit checkpoint for {artifact.name} is missing at {target}; automatic download is disabled for configured overrides."
)
token = self.environment.get("HF_TOKEN", "").strip()
if not token:
raise ModelArtifactAuthenticationError(
f"{artifact.name} is missing and HF_TOKEN is required to access the private model repository."
)
try:
target.parent.mkdir(parents=True, exist_ok=True)
except OSError as error:
raise ModelArtifactFilesystemError(
f"Could not create the local directory for {artifact.name}."
) from error
lock_path = target.parent / f".{target.name}.lock"
with _exclusive_file_lock(lock_path):
verified = self._verify_existing(target, artifact)
if verified is not None:
return verified
downloader = self._download_function()
try:
downloaded = Path(
downloader(
repo_id=self.repository_id,
filename=artifact.repository_path,
token=token,
)
).resolve()
except Exception:
raise ModelArtifactDownloadError(
f"Could not retrieve {artifact.name} from the private model repository; verify HF_TOKEN access and network availability."
) from None
if not downloaded.is_file():
raise ModelArtifactDownloadError(
f"The private model repository did not return a file for {artifact.name}."
)
actual = sha256_file(downloaded)
if actual != artifact.sha256:
raise ModelArtifactChecksumError(
f"Downloaded {artifact.name} failed SHA-256 verification; expected {artifact.sha256}, received {actual}."
)
temporary = target.parent / (
f".{target.name}.{os.getpid()}.{threading.get_ident()}.part"
)
try:
shutil.copyfile(downloaded, temporary)
if sha256_file(temporary) != artifact.sha256:
raise ModelArtifactChecksumError(
f"Staged {artifact.name} failed SHA-256 verification."
)
os.replace(temporary, target)
except ModelArtifactError:
raise
except OSError as error:
raise ModelArtifactFilesystemError(
f"Could not publish the verified {artifact.name} to its local model path."
) from error
finally:
try:
temporary.unlink(missing_ok=True)
except OSError:
pass
return target
_DEFAULT_RESOLVER = ModelArtifactResolver()
def resolve_model_artifact(
key: str,
*,
local_path: Optional[Path] = None,
download_if_missing: bool = True,
) -> Path:
"""Resolve one of the pinned CodeBlueX artifacts."""
return _DEFAULT_RESOLVER.resolve(
key,
local_path=local_path,
download_if_missing=download_if_missing,
)
def resolve_configured_model_artifact(
key: str,
*,
environment_key: str,
local_path: Path,
) -> Path:
"""Honor an explicit checkpoint path without replacing a missing override."""
explicitly_configured = bool(
_DEFAULT_RESOLVER.environment.get(environment_key, "").strip()
)
return resolve_model_artifact(
key,
local_path=local_path,
download_if_missing=not explicitly_configured,
)