Decode search results at field level

dev_requirements.txt

@@ -16,3 +16,4 @@ urllib3<2
 uvloop
 vulture>=2.3.0
 wheel>=0.30.0
+numpy>=1.24.0

redis/commands/search/_util.py

@@ -1,7 +1,7 @@
-def to_string(s):
+def to_string(s, encoding: str = "utf-8"):
     if isinstance(s, str):
         return s
     elif isinstance(s, bytes):
-        return s.decode("utf-8", "ignore")
+        return s.decode(encoding, "ignore")
     else:
         return s  # Not a string we care about

redis/commands/search/commands.py

@@ -2,7 +2,7 @@
 import time
 from typing import Dict, List, Optional, Union
 
-from redis.client import Pipeline
+from redis.client import NEVER_DECODE, Pipeline
 from redis.utils import deprecated_function
 
 from ..helpers import get_protocol_version, parse_to_dict
@@ -82,6 +82,7 @@ def _parse_search(self, res, **kwargs):
             duration=kwargs["duration"],
             has_payload=kwargs["query"]._with_payloads,
             with_scores=kwargs["query"]._with_scores,
+            field_encodings=kwargs["query"]._return_fields_decode_as,
         )
 
     def _parse_aggregate(self, res, **kwargs):
@@ -499,7 +500,12 @@ def search(
         """  # noqa
         args, query = self._mk_query_args(query, query_params=query_params)
         st = time.time()
-        res = self.execute_command(SEARCH_CMD, *args)
+
+        options = {}
+        if get_protocol_version(self.client) not in ["3", 3]:
+            options[NEVER_DECODE] = True
+
+        res = self.execute_command(SEARCH_CMD, *args, **options)
 
         if isinstance(res, Pipeline):
             return res
@@ -926,7 +932,12 @@ async def search(
         """  # noqa
         args, query = self._mk_query_args(query, query_params=query_params)
         st = time.time()
-        res = await self.execute_command(SEARCH_CMD, *args)
+
+        options = {}
+        if get_protocol_version(self.client) not in ["3", 3]:
+            options[NEVER_DECODE] = True
+
+        res = await self.execute_command(SEARCH_CMD, *args, **options)
 
         if isinstance(res, Pipeline):
             return res

redis/commands/search/query.py

@@ -35,6 +35,7 @@ def __init__(self, query_string: str) -> None:
         self._in_order: bool = False
         self._sortby: Optional[SortbyField] = None
         self._return_fields: List = []
+        self._return_fields_decode_as: dict = {}
         self._summarize_fields: List = []
         self._highlight_fields: List = []
         self._language: Optional[str] = None
@@ -53,13 +54,27 @@ def limit_ids(self, *ids) -> "Query":
 
     def return_fields(self, *fields) -> "Query":
         """Add fields to return fields."""
-        self._return_fields += fields
+        for field in fields:
+            self.return_field(field)
         return self
 
-    def return_field(self, field: str, as_field: Optional[str] = None) -> "Query":
-        """Add field to return fields (Optional: add 'AS' name
-        to the field)."""
+    def return_field(
+        self,
+        field: str,
+        as_field: Optional[str] = None,
+        decode_field: Optional[bool] = True,
+        encoding: Optional[str] = "utf8",
+    ) -> "Query":
+        """
+        Add a field to the list of fields to return.
+
+        - **field**: The field to include in query results
+        - **as_field**: The alias for the field
+        - **decode_field**: Whether to decode the field from bytes to string
+        - **encoding**: The encoding to use when decoding the field
+        """
         self._return_fields.append(field)
+        self._return_fields_decode_as[field] = encoding if decode_field else None
         if as_field is not None:
             self._return_fields += ("AS", as_field)
         return self

redis/commands/search/result.py

@@ -1,3 +1,5 @@
+from typing import Optional
+
 from ._util import to_string
 from .document import Document
 
@@ -9,11 +11,19 @@ class Result:
     """
 
     def __init__(
-        self, res, hascontent, duration=0, has_payload=False, with_scores=False
+        self,
+        res,
+        hascontent,
+        duration=0,
+        has_payload=False,
+        with_scores=False,
+        field_encodings: Optional[dict] = None,
     ):
         """
-        - **snippets**: An optional dictionary of the form
-        {field: snippet_size} for snippet formatting
+        - duration: the execution time of the query
+        - has_payload: whether the query has payloads
+        - with_scores: whether the query has scores
+        - field_encodings: a dictionary of field encodings if any is provided
         """
 
         self.total = res[0]
@@ -39,18 +49,22 @@ def __init__(
 
             fields = {}
             if hascontent and res[i + fields_offset] is not None:
-                fields = (
-                    dict(
-                        dict(
-                            zip(
-                                map(to_string, res[i + fields_offset][::2]),
-                                map(to_string, res[i + fields_offset][1::2]),
-                            )
-                        )
-                    )
-                    if hascontent
-                    else {}
-                )
+                keys = map(to_string, res[i + fields_offset][::2])
+                values = res[i + fields_offset][1::2]
+
+                for key, value in zip(keys, values):
+                    if field_encodings is None or key not in field_encodings:
+                        fields[key] = to_string(value)
+                        continue
+
+                    encoding = field_encodings[key]
+
+                    # If the encoding is None, we don't need to decode the value
+                    if encoding is None:
+                        fields[key] = value
+                    else:
+                        fields[key] = to_string(value, encoding=encoding)
+
             try:
                 del fields["id"]
             except KeyError:

tests/test_asyncio/test_search.py

@@ -4,22 +4,30 @@
 import time
 from io import TextIOWrapper
 
+import numpy as np
 import pytest
 import pytest_asyncio
 import redis.asyncio as redis
 import redis.commands.search
 import redis.commands.search.aggregation as aggregations
 import redis.commands.search.reducers as reducers
 from redis.commands.search import AsyncSearch
-from redis.commands.search.field import GeoField, NumericField, TagField, TextField
-from redis.commands.search.indexDefinition import IndexDefinition
+from redis.commands.search.field import (
+    GeoField,
+    NumericField,
+    TagField,
+    TextField,
+    VectorField,
+)
+from redis.commands.search.indexDefinition import IndexDefinition, IndexType
 from redis.commands.search.query import GeoFilter, NumericFilter, Query
 from redis.commands.search.result import Result
 from redis.commands.search.suggestion import Suggestion
 from tests.conftest import (
     assert_resp_response,
     is_resp2_connection,
     skip_if_redis_enterprise,
+    skip_if_resp_version,
     skip_ifmodversion_lt,
 )
 
@@ -1560,3 +1568,53 @@ async def test_query_timeout(decoded_r: redis.Redis):
     q2 = Query("foo").timeout("not_a_number")
     with pytest.raises(redis.ResponseError):
         await decoded_r.ft().search(q2)
+
+
+@pytest.mark.redismod
+@skip_if_resp_version(3)
+async def test_binary_and_text_fields(decoded_r: redis.Redis):
+    fake_vec = np.array([0.1, 0.2, 0.3, 0.4], dtype=np.float32)
+
+    index_name = "mixed_index"
+    mixed_data = {"first_name": "🐍python", "vector_emb": fake_vec.tobytes()}
+    await decoded_r.hset(f"{index_name}:1", mapping=mixed_data)
+
+    schema = (
+        TagField("first_name"),
+        VectorField(
+            "embeddings_bio",
+            algorithm="HNSW",
+            attributes={
+                "TYPE": "FLOAT32",
+                "DIM": 4,
+                "DISTANCE_METRIC": "COSINE",
+            },
+        ),
+    )
+
+    await decoded_r.ft(index_name).create_index(
+        fields=schema,
+        definition=IndexDefinition(
+            prefix=[f"{index_name}:"], index_type=IndexType.HASH
+        ),
+    )
+
+    query = (
+        Query("*")
+        .return_field("vector_emb", decode_field=False)
+        .return_field("first_name")
+    )
+    result = await decoded_r.ft(index_name).search(query=query, query_params={})
+    docs = result.docs
+
+    decoded_vec_from_search_results = np.frombuffer(
+        docs[0]["vector_emb"], dtype=np.float32
+    )
+
+    assert np.array_equal(
+        decoded_vec_from_search_results, fake_vec
+    ), "The vectors are not equal"
+
+    assert (
+        docs[0]["first_name"] == mixed_data["first_name"]
+    ), "The text field is not decoded correctly"

tests/test_search.py

@@ -4,6 +4,7 @@
 import time
 from io import TextIOWrapper
 
+import numpy as np
 import pytest
 import redis
 import redis.commands.search
@@ -29,6 +30,7 @@
     assert_resp_response,
     is_resp2_connection,
     skip_if_redis_enterprise,
+    skip_if_resp_version,
     skip_ifmodversion_lt,
 )
 
@@ -1705,6 +1707,54 @@ def test_search_return_fields(client):
         assert "telmatosaurus" == total["results"][0]["extra_attributes"]["txt"]
 
 
+@pytest.mark.redismod
+@skip_if_resp_version(3)
+def test_binary_and_text_fields(client):
+    fake_vec = np.array([0.1, 0.2, 0.3, 0.4], dtype=np.float32)
+
+    index_name = "mixed_index"
+    mixed_data = {"first_name": "🐍python", "vector_emb": fake_vec.tobytes()}
+    client.hset(f"{index_name}:1", mapping=mixed_data)
+
+    schema = (
+        TagField("first_name"),
+        VectorField(
+            "embeddings_bio",
+            algorithm="HNSW",
+            attributes={
+                "TYPE": "FLOAT32",
+                "DIM": 4,
+                "DISTANCE_METRIC": "COSINE",
+            },
+        ),
+    )
+
+    client.ft(index_name).create_index(
+        fields=schema,
+        definition=IndexDefinition(
+            prefix=[f"{index_name}:"], index_type=IndexType.HASH
+        ),
+    )
+
+    query = (
+        Query("*")
+        .return_field("vector_emb", decode_field=False)
+        .return_field("first_name")
+    )
+    docs = client.ft(index_name).search(query=query, query_params={}).docs
+    decoded_vec_from_search_results = np.frombuffer(
+        docs[0]["vector_emb"], dtype=np.float32
+    )
+
+    assert np.array_equal(
+        decoded_vec_from_search_results, fake_vec
+    ), "The vectors are not equal"
+
+    assert (
+        docs[0]["first_name"] == mixed_data["first_name"]
+    ), "The text field is not decoded correctly"
+
+
 @pytest.mark.redismod
 def test_synupdate(client):
     definition = IndexDefinition(index_type=IndexType.HASH)