Fix dependencies (#804)

* Revert "Upgrade confluent-kafka to >=2.8.2,<2.9 (#799)"

This reverts commit d2a9c77.

* Fix neo4j Conda dependency

* Upgrade confluent-kafka to 2.8.2 and include schema registry extras

Author: gwaramadze

conda/meta.yaml

@@ -15,7 +15,6 @@ requirements:
     - python >=3.9,<3.13
   run:
     - python >=3.9,<3.13
-    - python-confluent-kafka >=2.8.2,<2.9
     - requests >=2.32
     - typing_extensions >=4.8
     - orjson >=3.9,<4
@@ -30,7 +29,7 @@ requirements:
     - boto3 >=1.35.65,<2.0
     - boto3-stubs >=1.35.65,<2.0
     - azure-storage-blob >=12.24.0,<12.25
-    - neo4j >=5.27.0,<6
+    - neo4j-python-driver >=5.27.0,<6
     - pymongo >=4.11,<5
     - pandas >=1.0.0,<3.0
     - rich >=13,<14

conda/requirements.py

@@ -11,7 +11,7 @@
 CONDA_POST_LINK_REQUIREMENTS = re.compile(r"'([\w\[\],-]+)([><=,.\d]*)?")
 
 PYPI_TO_CONDA_NAME_MAPPING = {
-    "confluent-kafka": "python-confluent-kafka",
+    "neo4j": "neo4j-python-driver",
 }
 
 

docs/advanced/schema-registry.md

@@ -4,13 +4,7 @@ Serializers and deserializers for JSON Schema, Avro, and Protobuf support integr
 
 The current implementation wraps Confluent's serializers and deserializers, which are tightly coupled with the Schema Registry.
 
-To integrate your existing Schema Registry, install the `schema_registry` extra
-
-```bash
-pip install quixstreams[schema_registry]
-```
-
-and pass `SchemaRegistryClientConfig` to your serializers and deserializers. Additional optional configuration can be provided via `SchemaRegistrySerializationConfig`. 
+To integrate your existing Schema Registry, pass `SchemaRegistryClientConfig` to your serializers and deserializers. Additional optional configuration can be provided via `SchemaRegistrySerializationConfig`. 
 
 > NOTE: Not every `Serializer`/`Deserializer` uses `SchemaRegistrySerializationConfig`; refer to each serialization type below for
 > valid use.

pyproject.toml

@@ -41,8 +41,7 @@ all = [
     "azure-storage-blob>=12.24.0,<12.25",
     "neo4j>=5.27.0,<6",
     "pymongo>=4.11,<5",
-    "pandas>=1.0.0,<3.0",
-    "confluent-kafka[avro,json,protobuf,schemaregistry]>=2.8.2,<2.9"
+    "pandas>=1.0.0,<3.0"
 ]
 
 avro = ["fastavro>=1.8,<2.0"]
@@ -58,7 +57,6 @@ azure = ["azure-storage-blob>=12.24.0,<12.25"]
 neo4j = ["neo4j>=5.27.0,<6"]
 mongodb = ["pymongo>=4.11,<5"]
 pandas = ["pandas>=1.0.0,<3.0"]
-schema_registry = ["confluent-kafka[avro,json,protobuf,schemaregistry]>=2.8.2,<2.9"]
 
 # AWS dependencies are separated by service to support
 # different requirements in the future.

requirements.txt

@@ -1,4 +1,4 @@
-confluent-kafka>=2.8.2,<2.9
+confluent-kafka[avro,json,protobuf,schemaregistry]>=2.8.2,<2.9
 requests>=2.32
 rocksdict>=0.3,<0.4
 typing_extensions>=4.8

tests/requirements.txt

@@ -8,4 +8,3 @@ influxdb3-python>=0.7.0,<1.0
 pyiceberg[pyarrow,glue]>=0.7,<0.8
 redis[hiredis]>=5.2.0,<6
 pandas>=1.0.0,<3.0
-confluent-kafka[avro,json,protobuf,schemaregistry]>=2.8.2,<2.9