Apply literal contains filters consistently to numeric and textual fields

This commit is contained in:
Andras Schmelczer 2026-10-27 19:57:42 +00:00
commit c5bf7d4a7d
2 changed files with 96 additions and 10 deletions

View file

@ -1,3 +1,4 @@
import re
from datetime import datetime
from typing import Any, Dict, List, Optional, Sequence, Tuple
@ -102,6 +103,19 @@ class MongoDbDriver(TracingDatabaseDriver):
return operator_mapping["="]
return operator_mapping[filter.operator]
def _get_filter(self, filter: Filter) -> Dict[str, Any]:
if filter.operator == "contains":
text_filter = {
filter.property: {
"$regex": re.escape(filter.value_as_text),
"$options": "i",
}
}
if isinstance(filter.value, str):
return text_filter
return {"$or": [{filter.property: {"$eq": filter.value}}, text_filter]}
return {filter.property: {self._get_operator(filter): filter.value}}
def query(
self,
*,
@ -121,9 +135,7 @@ class MongoDbDriver(TracingDatabaseDriver):
and_query: List[Dict[str, Any]] = []
and_query.extend({"tags": tag} for tag in conjunctive_tags)
and_query.extend(
{f.property: {self._get_operator(f): f.value}} for f in conjunctive_filters
)
and_query.extend(self._get_filter(f) for f in conjunctive_filters)
if not and_query:
and_query.append({})

View file

@ -84,10 +84,14 @@ class ParallelTinyDbDriver(TracingDatabaseDriver):
getattr(df[f.property], operator_mapping[f.operator])(f.value)
]
elif operator == "contains":
pattern = f.value_as_text.casefold()
df = df.loc[
df[f.property].str.contains(
str(int(f.value)) if isinstance(f.value, float) else f.value,
case=False,
df[f.property].map(
lambda value: (
pattern in value.casefold()
if isinstance(value, str)
else not isinstance(f.value, str) and value == f.value
)
)
]