spaCy/spacy/pipeline/_edit_tree_internals/schemas.py

50 lines
1.6 KiB
Python

from collections import defaultdict
from typing import Any, Dict, List, Union
try:
from pydantic.v1 import BaseModel, Field, ValidationError
from pydantic.v1.types import StrictBool, StrictInt, StrictStr
except ImportError:
from pydantic import BaseModel, Field, ValidationError # type: ignore
from pydantic.types import StrictBool, StrictInt, StrictStr # type: ignore
class MatchNodeSchema(BaseModel):
prefix_len: StrictInt = Field(..., title="Prefix length")
suffix_len: StrictInt = Field(..., title="Suffix length")
prefix_tree: StrictInt = Field(..., title="Prefix tree")
suffix_tree: StrictInt = Field(..., title="Suffix tree")
class Config:
extra = "forbid"
class SubstNodeSchema(BaseModel):
orig: Union[int, StrictStr] = Field(..., title="Original substring")
subst: Union[int, StrictStr] = Field(..., title="Replacement substring")
class Config:
extra = "forbid"
class EditTreeSchema(BaseModel):
__root__: Union[MatchNodeSchema, SubstNodeSchema]
def validate_edit_tree(obj: Dict[str, Any]) -> List[str]:
"""Validate edit tree.
obj (Dict[str, Any]): JSON-serializable data to validate.
RETURNS (List[str]): A list of error messages, if available.
"""
try:
EditTreeSchema.parse_obj(obj)
return []
except ValidationError as e:
errors = e.errors()
data = defaultdict(list)
for error in errors:
err_loc = " -> ".join([str(p) for p in error.get("loc", [])])
data[err_loc].append(error.get("msg"))
return [f"[{loc}] {', '.join(msg)}" for loc, msg in data.items()] # type: ignore[arg-type]