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Every place that accepts user-supplied YAML — engine import, an engine's stored yaml_source, nuclei template upload and report theme upload — could be handed a billion-laughs document. Measured on engine import: 379 bytes of nested aliases blocked the event loop for 36 seconds. A request issued alongside it timed out at 20s and the next took 13s, against a 4ms baseline. Any authenticated user could do it, repeatedly. The cost is not in the parser. PyYAML shares an aliased node rather than copying it, so safe_load returns in 2ms; the expansion happens in whatever walks the result as a tree, which for us is pydantic — it has no node cache, so nine levels of nine aliases is 43 million visits. Bounding the parser would have missed this entirely. load_document() now measures the document the way a consumer will walk it and stops at 100,000 values, which is four times the largest thing reNgine ships (a 24,133-node nuclei template, still indexed in 0.67s) and far below the bomb. All four call sites use it and each reports the limit in its own idiom — an HTTP 400, a template rejection reason, a theme error. Same payload after: 0.03s and refused, with API latency during the attack at 36ms. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01K6LcH8uUddjJbKrahf34ys
245 lines
8.7 KiB
Python
245 lines
8.7 KiB
Python
import shlex
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import yaml
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from fastapi import HTTPException, status
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from pydantic import ValidationError
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from shared.definitions.tools import MAX_TOOL_OPTION_LEN, TOOL_NAMES
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from shared.enums.scan import INTENSITIES
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from shared.services.scan_resolve import (
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_SENSITIVE_HEADER,
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MASK,
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_reject_ctrl,
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redact_command,
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secret_runs,
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)
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from shared.utils.yaml_safe import DocumentTooLargeError, load_document
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from stages.registry import stage_by_name, stages
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_MAX_HEADERS = 1000
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_MAX_HEADER_LEN = 4096
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_MAX_YAML_LEN = 512 * 1024
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_INTENSITIES = set(INTENSITIES)
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_MAX_ENGINE_THREADS = 1000
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def _mask_tool_options(options: dict | None) -> dict[str, str]:
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return {t: redact_command(v) for t, v in (options or {}).items()}
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def _unmask_tool_options(submitted: dict | None, stored: dict | None) -> dict[str, str]:
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"""Restore each masked run in place, so edits made alongside a secret survive."""
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stored = stored or {}
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out: dict[str, str] = {}
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for tool, value in (submitted or {}).items():
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if not value or MASK not in value or tool not in stored:
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out[tool] = value
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continue
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originals = secret_runs(stored[tool])
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restored = value
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for original in originals:
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restored = restored.replace(MASK, original, 1)
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# a mask left over means the edit and the stored value disagree about the
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# secrets; keep what is stored rather than write the mask over a credential
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out[tool] = stored[tool] if MASK in restored else restored
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return out
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_MAX_HEADERS = 1000
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_MAX_HEADER_LEN = 4096
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_MAX_YAML_LEN = 512 * 1024
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def _validate_yaml_source(source: str | None) -> str | None:
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if source is None:
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return None
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if len(source) > _MAX_YAML_LEN:
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail=f"Stage YAML may not exceed {_MAX_YAML_LEN} bytes.",
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)
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try:
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load_document(source)
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except DocumentTooLargeError as exc:
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST, detail=str(exc)
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) from exc
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except yaml.YAMLError as exc:
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST, detail=f"Invalid YAML: {exc}"
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) from exc
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return source
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_INTENSITIES = set(INTENSITIES)
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_MAX_ENGINE_THREADS = 1000
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def _validate_tool_options(options: dict | None) -> dict[str, str]:
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"""Keep only known tools; reject over-long or unparseable arg strings."""
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clean: dict[str, str] = {}
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for tool, raw in (options or {}).items():
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if tool not in TOOL_NAMES:
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# dropping it silently would accept the request and lose the setting
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail=(
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f"'{tool}' does not take custom arguments. "
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f"Tools that do: {', '.join(sorted(TOOL_NAMES))}."
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),
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)
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value = (raw or "").strip()
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if not value:
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continue
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if len(value) > MAX_TOOL_OPTION_LEN:
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail=f"{tool} options may not exceed {MAX_TOOL_OPTION_LEN} characters.",
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)
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_reject_ctrl(f"{tool} options", value)
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try:
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shlex.split(value)
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except ValueError as exc:
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail=f"{tool} options are not valid shell arguments: {exc}",
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) from exc
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clean[tool] = value
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return clean
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def _validate_intensity(intensity: str | None) -> None:
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if intensity is not None and intensity not in _INTENSITIES:
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail=f"intensity must be one of {sorted(_INTENSITIES)}.",
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)
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def _validate_global_threads(threads: int | None) -> None:
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if threads is not None and not (1 <= threads <= _MAX_ENGINE_THREADS):
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail=f"global_threads must be between 1 and {_MAX_ENGINE_THREADS}.",
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)
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def _validate_global_headers(headers: list) -> None:
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if headers and len(headers) > _MAX_HEADERS:
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail=f"global_headers may not exceed {_MAX_HEADERS} entries.",
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)
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for line in headers or []:
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if isinstance(line, str) and len(line) > _MAX_HEADER_LEN:
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail=f"Each global header may not exceed {_MAX_HEADER_LEN} characters.",
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)
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if not isinstance(line, str) or ":" not in line:
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail="Each global header must be a 'Name: Value' string.",
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)
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name, value = line.split(":", 1)
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if not name.strip():
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail="Each global header must have a non-empty name.",
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)
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_reject_ctrl("Header name", name)
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_reject_ctrl("Header value", value)
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def _mask_global_headers(headers: list) -> list[str]:
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out: list[str] = []
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for line in headers or []:
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if isinstance(line, str) and ":" in line:
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name, value = line.split(":", 1)
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if value.strip() and _SENSITIVE_HEADER.search(name.strip()):
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out.append(f"{name.strip()}: {MASK}")
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continue
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out.append(line)
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return out
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def _unmask_global_headers(incoming: list, stored: list) -> list[str]:
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stored_map: dict[str, str] = {}
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for line in stored or []:
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if isinstance(line, str) and ":" in line:
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name, value = line.split(":", 1)
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stored_map[name.strip().lower()] = value.strip()
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out: list[str] = []
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for line in incoming or []:
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if isinstance(line, str) and ":" in line:
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name, value = line.split(":", 1)
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if value.strip() == MASK and name.strip().lower() in stored_map:
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out.append(f"{name.strip()}: {stored_map[name.strip().lower()]}")
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continue
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out.append(line)
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return out
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def _validate_stages(submitted: dict | None) -> dict[str, dict]:
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known = stage_by_name()
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clean: dict[str, dict] = {}
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for name, raw in (submitted or {}).items():
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spec = known.get(name)
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if spec is None or spec.catalog_hidden:
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offered = sorted(n for n, s in known.items() if not s.catalog_hidden)
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail=f"Unknown stage '{name}'. Known stages: {', '.join(offered)}.",
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)
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if not isinstance(raw, dict):
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail=f"Stage '{name}' config must be an object.",
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)
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known_fields = set(spec.config_model.model_fields)
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unknown = [k for k in raw if k not in known_fields]
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if unknown:
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hint = ", ".join(sorted(known_fields))
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail=(
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f"Stage '{name}' has no setting {', '.join(repr(u) for u in unknown)}. "
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f"Valid settings: {hint}."
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),
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)
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try:
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# validate against the whole model, but persist only the submitted keys
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validated = spec.config_model(**raw).model_dump()
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clean[name] = {k: validated[k] for k in raw if k in validated}
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except ValidationError as exc:
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problems = "; ".join(
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f"{'.'.join(str(p) for p in e['loc'])}: {e['msg']}"
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for e in exc.errors()
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)
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raise HTTPException(
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status_code=status.HTTP_400_BAD_REQUEST,
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detail=f"Invalid config for stage '{name}': {problems}",
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) from exc
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return clean
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def _full_stages(stored: dict | None) -> dict[str, dict]:
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stored = stored or {}
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# only the stages a user may author: a hidden one would be refused on import.
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# json mode: an enum setting must come out as its value, not as the member
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return {
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spec.name: spec.config_model(**(stored.get(spec.name) or {})).model_dump(
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mode="json"
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)
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for spec in stages()
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if not spec.catalog_hidden
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}
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_JSON_TYPES = {
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"integer": "integer",
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"number": "number",
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"boolean": "boolean",
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"string": "string",
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}
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