diff --git a/dev_requirements.txt b/dev_requirements.txt index b1e10f9682..1c234cac33 100644 --- a/dev_requirements.txt +++ b/dev_requirements.txt @@ -16,3 +16,4 @@ urllib3<2 uvloop vulture>=2.3.0 wheel>=0.30.0 +numpy>=1.26 diff --git a/docs/examples/search_vector_similarity_examples.ipynb b/docs/examples/search_vector_similarity_examples.ipynb index bd1df3c1ef..809dbda4ea 100644 --- a/docs/examples/search_vector_similarity_examples.ipynb +++ b/docs/examples/search_vector_similarity_examples.ipynb @@ -162,8 +162,8 @@ { "data": { "text/plain": [ - "[Document {'id': 'doc:b', 'payload': None, 'score': '0.2376562953'},\n", - " Document {'id': 'doc:c', 'payload': None, 'score': '0.240063905716'}]" + "[Document {'id': 'doc:c', 'payload': None, 'score': '0.251625061035', 'vector': b'\\xf8\\x1ed?\\xbf\\t\\x90<\\xfd\\x9b\\x10?\\xe3\\x1b\\xed>\\xbc\\xea%=lp\\x1a>\\x11hC?\\x84 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] }, "execution_count": 5, @@ -176,6 +176,7 @@ " Query(\"*=>[KNN 2 @vector $vec as score]\")\n", " .sort_by(\"score\")\n", " .return_fields(\"id\", \"score\")\n", + " .return_field(\"vector\", decode_field=False) # return the vector field as bytes\n", " .paging(0, 2)\n", " .dialect(2)\n", ")\n", diff --git a/redis/commands/search/_util.py b/redis/commands/search/_util.py index dd1dff33dd..191600d7c6 100644 --- a/redis/commands/search/_util.py +++ b/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 diff --git a/redis/commands/search/commands.py b/redis/commands/search/commands.py index 764ad4c2b8..cd600016a0 100644 --- a/redis/commands/search/commands.py +++ b/redis/commands/search/commands.py @@ -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): diff --git a/redis/commands/search/query.py b/redis/commands/search/query.py index 113ddf9da8..84d60a7cec 100644 --- a/redis/commands/search/query.py +++ b/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 diff --git a/redis/commands/search/result.py b/redis/commands/search/result.py index 5b19e6faa4..e2c7efb71f 100644 --- a/redis/commands/search/result.py +++ b/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: diff --git a/tests/test_search.py b/tests/test_search.py index a61f361c3a..a574d525eb 100644 --- a/tests/test_search.py +++ b/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 @@ -113,6 +114,13 @@ def client(request, stack_url): return r +@pytest.fixture +def binary_client(request, stack_url): + r = _get_client(redis.Redis, request, decode_responses=False, from_url=stack_url) + r.flushdb() + return r + + @pytest.mark.redismod def test_client(client): num_docs = 500 @@ -1705,6 +1713,61 @@ def test_search_return_fields(client): assert "telmatosaurus" == total["results"][0]["extra_attributes"]["txt"] +@pytest.mark.redismod +def test_binary_and_text_fields(binary_client): + assert ( + binary_client.get_connection_kwargs()["decode_responses"] is False + ), "This feature is only available when decode_responses is False" + + 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()} + binary_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", + }, + ), + ) + + binary_client.ft(index_name).create_index( + fields=schema, + definition=IndexDefinition( + prefix=[f"{index_name}:"], index_type=IndexType.HASH + ), + ) + + bytes_person_1 = binary_client.hget(f"{index_name}:1", "vector_emb") + decoded_vec_from_hash = np.frombuffer(bytes_person_1, dtype=np.float32) + assert np.array_equal(decoded_vec_from_hash, fake_vec), "The vectors are not equal" + + query = ( + Query("*") + .return_field("vector_emb", decode_field=False) + .return_field("first_name", decode_field=True) + ) + docs = binary_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 first is not decoded correctly" + + @pytest.mark.redismod def test_synupdate(client): definition = IndexDefinition(index_type=IndexType.HASH)