Lars
5692931d07
All checks were successful
Deploy Development / deploy (push) Successful in 44s
Test Suite / pytest-backend (push) Successful in 43s
Test Suite / lint-backend (push) Successful in 0s
Test Suite / build-frontend (push) Successful in 14s
Test Suite / k6 /health Baseline (push) Successful in 33s
Test Suite / playwright-tests (push) Successful in 1m15s
- Incremented application version to 0.8.217 to reflect recent changes. - Added support for a planning roadmap in the Exercise Progression Path Builder, allowing users to save and load structured planning artifacts. - Enhanced the persistence logic for the planning roadmap, ensuring updates are correctly handled during graph modifications. - Improved the user interface to display saved planning hints, enriching the user experience and interaction with the progression graphs.
50 lines
1.7 KiB
Python
50 lines
1.7 KiB
Python
"""Validierung und Normalisierung des Planungs-Artefakts am Progressionsgraph."""
|
|
from __future__ import annotations
|
|
|
|
import json
|
|
from typing import Any, Dict, Optional
|
|
|
|
from pydantic import BaseModel, Field, field_validator
|
|
|
|
ARTIFACT_SCHEMA_VERSION = 1
|
|
_MAX_JSON_BYTES = 64_000
|
|
|
|
|
|
class GraphPlanningRoadmapArtifact(BaseModel):
|
|
schema_version: int = Field(default=ARTIFACT_SCHEMA_VERSION, ge=1, le=1)
|
|
goal_query: str = Field(default="", max_length=2000)
|
|
start_situation: Optional[str] = Field(default=None, max_length=2000)
|
|
target_state: Optional[str] = Field(default=None, max_length=2000)
|
|
roadmap_notes: Optional[str] = Field(default=None, max_length=2000)
|
|
max_steps: int = Field(default=5, ge=2, le=10)
|
|
progression_roadmap: Optional[Dict[str, Any]] = None
|
|
path_skill_expectations: Optional[Dict[str, Any]] = None
|
|
|
|
@field_validator("progression_roadmap", "path_skill_expectations", mode="before")
|
|
@classmethod
|
|
def _empty_dict_to_none(cls, v):
|
|
if v == {}:
|
|
return None
|
|
return v
|
|
|
|
|
|
def normalize_planning_roadmap_payload(raw: Any) -> Optional[Dict[str, Any]]:
|
|
"""None erlaubt (löschen); sonst validiertes Dict."""
|
|
if raw is None:
|
|
return None
|
|
if not isinstance(raw, dict):
|
|
raise ValueError("planning_roadmap muss ein JSON-Objekt sein")
|
|
artifact = GraphPlanningRoadmapArtifact.model_validate(raw)
|
|
out = artifact.model_dump(exclude_none=True)
|
|
blob = json.dumps(out, ensure_ascii=False)
|
|
if len(blob.encode("utf-8")) > _MAX_JSON_BYTES:
|
|
raise ValueError("planning_roadmap ist zu groß (max. 64 KB)")
|
|
return out
|
|
|
|
|
|
__all__ = [
|
|
"ARTIFACT_SCHEMA_VERSION",
|
|
"GraphPlanningRoadmapArtifact",
|
|
"normalize_planning_roadmap_payload",
|
|
]
|