assettrack/functions/validate_values.py

126 lines
4.9 KiB
Python

from datetime import datetime
import re
from marshmallow import Schema, fields, ValidationError, validates_schema
from typing import Dict, Any, Optional, Type
from config import item_attributes
from definitions.attribute import (
textAttribute,
intAttribute,
floatAttribute,
dateAttribute,
selectAttribute,
)
def create_dynamic_schema() -> Type[Schema]:
"""
Dynamically creates a marshmallow.Schema based on the configuration in item_attributes.
"""
class DynamicSchema(Schema):
class Meta:
strict = False # Ignore unknown fields
@validates_schema
def validate_required_fields(self, data: Dict[str, Any], **kwargs):
"""Ensure all required fields are present."""
for attrib in item_attributes:
if attrib.required and attrib.attrib_name not in data:
raise ValidationError(f"Missing required field: {attrib.display_name}.")
# Add fields to the schema based on item_attributes
for attrib in item_attributes:
print(f"Adding field: {attrib.attrib_name}") # Debugging
field = None
if isinstance(attrib, textAttribute):
field = fields.String(
required=attrib.required,
validate=[
lambda x: len(x) <= attrib.max_length if attrib.max_length else True,
lambda x: len(x) >= attrib.min_length if attrib.min_length else True,
lambda x: re.match(attrib.regex, x) if attrib.regex else True,
],
error_messages={
"required": f"{attrib.display_name} is required.",
"validator_failed": f"Invalid value for {attrib.display_name}.",
},
)
elif isinstance(attrib, intAttribute):
field = fields.Integer(
required=attrib.required,
validate=[
lambda x: x >= attrib.min_val if attrib.min_val is not None else True,
lambda x: x <= attrib.max_val if attrib.max_val is not None else True,
],
error_messages={
"required": f"{attrib.display_name} is required.",
"validator_failed": f"Invalid value for {attrib.display_name}.",
},
)
elif isinstance(attrib, floatAttribute):
field = fields.Float(
required=attrib.required,
validate=[
lambda x: x >= attrib.min_val if attrib.min_val is not None else True,
lambda x: x <= attrib.max_val if attrib.max_val is not None else True,
],
error_messages={
"required": f"{attrib.display_name} is required.",
"validator_failed": f"Invalid value for {attrib.display_name}.",
},
)
elif isinstance(attrib, dateAttribute):
field = fields.Date(
required=attrib.required,
format="%Y-%m-%d",
validate=[
lambda x: x >= datetime.strptime(attrib.min_val, "%Y-%m-%d").date()
if attrib.min_val
else True,
lambda x: x <= datetime.strptime(attrib.max_val, "%Y-%m-%d").date()
if attrib.max_val
else True,
],
error_messages={
"required": f"{attrib.display_name} is required.",
"validator_failed": f"Invalid value for {attrib.display_name}.",
},
)
elif isinstance(attrib, selectAttribute):
field = fields.String(
required=attrib.required,
validate=[lambda x: x in attrib.options],
error_messages={
"required": f"{attrib.display_name} is required.",
"validator_failed": f"Invalid value for {attrib.display_name}. Must be one of: {', '.join(attrib.options)}.",
},
)
if field:
#print(field)
setattr(DynamicSchema, attrib.attrib_name, field)
return DynamicSchema
def validate_values(form_data: Dict[str, Any]) -> Optional[str]:
"""
Validate form data against the configuration in item_attributes using marshmallow.
Returns an error message if invalid, otherwise None.
"""
DynamicSchema = create_dynamic_schema()
schema = DynamicSchema()
try:
schema.load(form_data) # Validate the data
print(form_data)
return None # No errors
except ValidationError as e:
# Format the error message for display
error_messages = []
for field, errors in e.messages.items():
for error in errors:
error_messages.append(f"{field}: {error}")
return "; ".join(error_messages)