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import math
import re
from typing import Any
from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator
from app.generation.domain.enums import (
GenerationModality,
WorkerCancellationStatus,
WorkerErrorCategory,
WorkerHealthStatus,
WorkerJobStatus,
WorkerReadinessStatus,
)
_EXTERNAL_ID = re.compile(r"^[A-Za-z0-9._:-]{1,255}$")
_SHA256 = re.compile(r"^[0-9a-f]{64}$")
_SAFE_FILENAME = re.compile(r"^[A-Za-z0-9][A-Za-z0-9._-]{0,254}$")
_BEARER = re.compile(r"(?i)\bbearer\s+[A-Za-z0-9._~+/=-]+")
_HTTP_URL = re.compile(r"(?i)\bhttps?://[^\s\"'<>]+")
_ASSIGNED_SECRET = re.compile(
r"(?i)(access[_-]?token|refresh[_-]?token|id[_-]?token|client[_-]?secret|"
r"authorization|api[_-]?key|password|secret|credential)"
r"([\"']?\s*[:=]\s*[\"']?)([^\"'\s,&}]+)"
)
_SENSITIVE_METADATA_PARTS = frozenset(
{
"access_token",
"refresh_token",
"id_token",
"token",
"secret",
"authorization",
"cookie",
"password",
"api_key",
"credential",
"url",
"uri",
}
)
_MAX_METADATA_DEPTH = 8
_MAX_METADATA_ITEMS = 256
_MAX_METADATA_STRING_LENGTH = 8_192
_DROP = object()
def _safe_metadata(value: Any, *, depth: int = 0) -> Any:
"""Return bounded JSON-safe metadata with credential-like content removed."""
if depth > _MAX_METADATA_DEPTH:
return _DROP
if value is None or isinstance(value, bool) or isinstance(value, int):
return value
if isinstance(value, float):
return value if math.isfinite(value) else _DROP
if isinstance(value, str):
without_bearer = _BEARER.sub("Bearer [REDACTED]", value)
without_urls = _HTTP_URL.sub("[REDACTED_URL]", without_bearer)
redacted = _ASSIGNED_SECRET.sub(
lambda match: f"{match.group(1)}{match.group(2)}[REDACTED]",
without_urls,
)
return redacted[:_MAX_METADATA_STRING_LENGTH]
if isinstance(value, dict):
result: dict[str, object] = {}
for key, item in list(value.items())[:_MAX_METADATA_ITEMS]:
if not isinstance(key, str) or len(key) > 255:
continue
normalized_key = key.lower().replace("-", "_")
if any(part in normalized_key for part in _SENSITIVE_METADATA_PARTS):
continue
cleaned = _safe_metadata(item, depth=depth + 1)
if cleaned is not _DROP:
result[key] = cleaned
return result
if isinstance(value, (list, tuple)):
result: list[object] = []
for item in list(value)[:_MAX_METADATA_ITEMS]:
cleaned = _safe_metadata(item, depth=depth + 1)
if cleaned is not _DROP:
result.append(cleaned)
return result
return _DROP
def safe_worker_metadata(value: Any) -> Any:
"""Remove secret-like fields and non-JSON values before persistence.
Worker metadata is useful for diagnostics, but it is never a credential
store. This helper is deliberately conservative and is applied both at
worker-transport parsing and at persistence boundaries.
"""
cleaned = _safe_metadata(value)
return {} if cleaned is _DROP and isinstance(value, dict) else cleaned
def _safe_metadata_dict(value: Any) -> dict[str, object]:
cleaned = safe_worker_metadata(value)
if not isinstance(cleaned, dict):
raise ValueError("worker metadata must be a JSON object")
return cleaned
class WorkerModelInfo(BaseModel):
"""One worker-discovered model; never an operator-configured endpoint."""
model_config = ConfigDict(extra="forbid")
id: str = Field(min_length=1, max_length=255)
name: str = Field(min_length=1, max_length=255)
media_types: list[GenerationModality] = Field(default_factory=list)
metadata: dict[str, object] = Field(default_factory=dict)
@field_validator("metadata", mode="before")
@classmethod
def clean_metadata(cls, value: Any) -> dict[str, object]:
return _safe_metadata_dict(value)
class WorkerInfo(BaseModel):
"""Verified non-secret identity returned by a configured worker."""
model_config = ConfigDict(extra="forbid")
id: str = Field(min_length=1, max_length=255)
name: str = Field(min_length=1, max_length=255)
media_types: list[GenerationModality] = Field(default_factory=list)
models: list[WorkerModelInfo] = Field(default_factory=list)
status: WorkerHealthStatus = WorkerHealthStatus.UNKNOWN
metadata: dict[str, object] = Field(default_factory=dict)
@field_validator("models")
@classmethod
def unique_models(cls, values: list[WorkerModelInfo]) -> list[WorkerModelInfo]:
if len({value.id for value in values}) != len(values):
raise ValueError("worker metadata contains duplicate model IDs")
return values
@field_validator("metadata", mode="before")
@classmethod
def clean_metadata(cls, value: Any) -> dict[str, object]:
return _safe_metadata_dict(value)
class WorkerHealth(BaseModel):
"""Normalised liveness result. It never implies model availability."""
model_config = ConfigDict(extra="forbid")
status: WorkerHealthStatus
metadata: dict[str, object] = Field(default_factory=dict)
@field_validator("metadata", mode="before")
@classmethod
def clean_metadata(cls, value: Any) -> dict[str, object]:
return _safe_metadata_dict(value)
class WorkerReadiness(BaseModel):
"""Normalised inference readiness result."""
model_config = ConfigDict(extra="forbid")
status: WorkerReadinessStatus
model_loaded: bool = False
model_ids: list[str] = Field(default_factory=list)
metadata: dict[str, object] = Field(default_factory=dict)
@field_validator("model_ids")
@classmethod
def valid_model_ids(cls, values: list[str]) -> list[str]:
if len(values) != len(set(values)):
raise ValueError("worker readiness model_ids must be unique")
for value in values:
if not value or len(value) > 255 or any(character.isspace() for character in value):
raise ValueError("worker readiness model_ids contain an invalid value")
return values
@field_validator("metadata", mode="before")
@classmethod
def clean_metadata(cls, value: Any) -> dict[str, object]:
return _safe_metadata_dict(value)
class WorkerOutput(BaseModel):
"""A worker-issued descriptor, never a filesystem path or arbitrary URL."""
model_config = ConfigDict(extra="forbid")
output_type: GenerationModality
mime_type: str = Field(
min_length=3,
max_length=255,
pattern=r"^[a-z0-9!#$&^_.+-]+/[a-z0-9!#$&^_.+-]+$",
)
provider_output_id: str = Field(min_length=1, max_length=255)
# A worker may expose a download endpoint only under its configured origin.
# RemoteWorkerClient rejects absolute URLs, traversal, queries, and fragments.
download_path: str = Field(min_length=2, max_length=2048)
filename: str | None = Field(default=None, max_length=255)
sha256: str | None = Field(default=None, max_length=64)
byte_size: int | None = Field(default=None, ge=0)
metadata: dict[str, object] = Field(default_factory=dict)
@field_validator("provider_output_id")
@classmethod
def valid_provider_output_id(cls, value: str) -> str:
if _EXTERNAL_ID.fullmatch(value) is None:
raise ValueError("provider_output_id contains unsupported characters")
return value
@field_validator("download_path")
@classmethod
def valid_download_path(cls, value: str) -> str:
if (
not value.startswith("/")
or "//" in value
or "\\" in value
or "%" in value
or "?" in value
or "#" in value
or any(part in {"", ".", ".."} for part in value.split("/")[1:])
):
raise ValueError("download_path must be a safe absolute worker-relative path")
return value
@field_validator("filename")
@classmethod
def valid_filename(cls, value: str | None) -> str | None:
if value is not None and _SAFE_FILENAME.fullmatch(value) is None:
raise ValueError("filename must not contain a path")
return value
@field_validator("sha256")
@classmethod
def valid_sha256(cls, value: str | None) -> str | None:
if value is not None and _SHA256.fullmatch(value) is None:
raise ValueError("sha256 must be a lowercase SHA-256 hex digest")
return value
@field_validator("metadata", mode="before")
@classmethod
def clean_metadata(cls, value: Any) -> dict[str, object]:
return _safe_metadata_dict(value)
@model_validator(mode="after")
def media_type_matches_output_type(self) -> "WorkerOutput":
if not self.mime_type.startswith(f"{self.output_type.value}/"):
raise ValueError("output MIME type does not match its generation modality")
return self
class WorkerJob(BaseModel):
"""Provider-neutral remote job representation."""
model_config = ConfigDict(extra="forbid")
external_job_id: str = Field(min_length=1, max_length=255)
status: WorkerJobStatus
output: WorkerOutput | None = None
error_category: WorkerErrorCategory | None = None
error_code: str | None = Field(default=None, max_length=100)
error_message: str | None = Field(default=None, max_length=500)
metadata: dict[str, object] = Field(default_factory=dict)
@field_validator("external_job_id")
@classmethod
def valid_external_job_id(cls, value: str) -> str:
if _EXTERNAL_ID.fullmatch(value) is None:
raise ValueError("external_job_id contains unsupported characters")
return value
@field_validator("error_code")
@classmethod
def valid_error_code(cls, value: str | None) -> str | None:
if value is not None and _EXTERNAL_ID.fullmatch(value) is None:
raise ValueError("worker error_code contains unsupported characters")
return value
@field_validator("error_message", mode="before")
@classmethod
def clean_error_message(cls, value: Any) -> str | None:
if value is None:
return None
if not isinstance(value, str):
raise ValueError("worker error_message must be a string")
cleaned = safe_worker_metadata(value)
if not isinstance(cleaned, str): # Defensive: strings are JSON-safe.
raise ValueError("worker error_message is invalid")
return cleaned
@model_validator(mode="after")
def completed_job_requires_output(self) -> "WorkerJob":
if self.status is WorkerJobStatus.COMPLETED and self.output is None:
raise ValueError("completed worker jobs must include an output descriptor")
return self
@field_validator("metadata", mode="before")
@classmethod
def clean_metadata(cls, value: Any) -> dict[str, object]:
return _safe_metadata_dict(value)
class WorkerCancellationResult(BaseModel):
model_config = ConfigDict(extra="forbid")
status: WorkerCancellationStatus
metadata: dict[str, object] = Field(default_factory=dict)
@field_validator("metadata", mode="before")
@classmethod
def clean_metadata(cls, value: Any) -> dict[str, object]:
return _safe_metadata_dict(value)
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