InfluxDB3Source: new connector

conda/meta.yaml

@@ -34,6 +34,7 @@ requirements:
     - pymongo >=4.11,<5
     - pandas >=1.0.0,<3.0
     - rich >=13,<14
+    - influxdb3-python[pandas] >=0.7,<1.0
 
 test:
   imports:

conda/post-link.sh

@@ -3,6 +3,6 @@
 $PREFIX/bin/pip install \
 'rocksdict>=0.3,<0.4' \
 'protobuf>=5.27.2,<6.0' \
-'influxdb3-python>=0.7,<1.0' \
+'influxdb3-python[pandas]>=0.7,<1.0' \
 'pyiceberg[pyarrow,glue]>=0.7,<0.8' \
 'redis[hiredis]>=5.2.0,<6'

docs/connectors/sources/influxdb3-source.md

@@ -0,0 +1,140 @@
+# InfluxDB v3 Source
+
+!!! info
+
+    This is a **Community** connector. Test it before using in production.
+
+    To learn more about differences between Core and Community connectors, see the [Community and Core Connectors](../community-and-core.md) page.
+
+
+InfluxDB is an open source time series database for metrics, events, and real-time analytics.
+
+Quix Streams provides a source to extract "measurements" from InfluxDB v3 databases 
+  and dump them to a Kafka topic.
+
+>***NOTE***: This source only supports InfluxDB v3. Versions 1 and 2 are not supported.
+
+## How to Install
+
+Install Quix Streams with the following optional dependencies:
+
+```bash
+pip install quixstreams[influxdb3]
+```
+
+## How it Works
+
+`InfluxDB3Source` extracts data from a specified set of measurements in a
+  database (or all available ones if none are specified).
+
+It processes measurements sequentially by gathering/producing a tumbling
+  "time_delta"-sized window of data, starting from a specified 'start_date' and 
+  eventually stopping at a specified 'end_date', completing that measurement.
+
+It then starts the next measurement, continuing until all are complete.
+
+Note that 'end_date' is optional; when not provided, it will run indefinitely for a 
+  single measurement (which means no other measurements will be processed!).
+
+## How to Use
+
+Import and instantiate an `InfluxDB3Source` instance and hand it to an Application using
+`app.add_source(<InfluxDB3Source>)` or instead to a StreamingDataFrame with 
+`app.dataframe(source=<InfluxDB3Source>)` if further data manipulation is required.
+
+For more details around various settings, see [configuration](#configuration).
+
+```python
+from quixstreams import Application
+from quixstreams.sources.community.influxdb3 import InfluxDB3Source
+from datetime import datetime, timedelta, timezone
+
+app = Application(broker_address="localhost:9092")
+topic = app.topic("influx-topic")
+
+influx = InfluxDB3Source(
+    token="<influxdb-access-token>",
+    host="<influxdb-host>",
+    organization_id="<influxdb-org>",
+    database="<influxdb-database>",
+    measurements="my-measurement",
+    start_date=datetime.now(tz=timezone.utc) - timedelta(days=2),
+    end_date=datetime.now(tz=timezone.utc),
+)
+
+app = Application(
+    broker_address="<YOUR BROKER INFO>",
+    consumer_group="<YOUR GROUP>",
+)
+
+sdf = app.dataframe(source=influx).print(metadata=True)
+# YOUR LOGIC HERE!
+sdf.to_topic(topic)
+
+if __name__ == "__main__":
+    app.run()
+```
+
+
+## Configuration
+Here are the InfluxDB-related configurations to be aware of (see [InfluxDB3Source API](../../api-reference/sources.md#influxdb3source) for all parameters).
+
+### Required:
+
+- `host`: Host URL of the InfluxDB instance.
+- `token`: Authentication token for InfluxDB.
+- `organization_id`: Organization name in InfluxDB.
+- `database`: Database name in InfluxDB.
+
+
+### Optional:
+- `key_setter`: sets the kafka message key for a measurement record.  
+  By default, will set the key to the measurement's name.
+- `timestamp_setter`: sets the kafka message timestamp for a measurement record.  
+  By default, the timestamp will be the Kafka default (Kafka produce time).
+- `start_date`: The start datetime for querying InfluxDB.  
+  Uses current time by default.
+- `end_date`: The end datetime for querying InfluxDB.  
+  If none provided, runs indefinitely for a single measurement.
+- `measurements`: The measurements to query.  
+  If None, all measurements will be processed.
+- `measurement_column_name`: The column name used for appending the measurement name to the record.
+  Default: `_measurement_name`.
+- `sql_query`: Custom SQL query for retrieving data.
+  Query expects a `{start_time}`, `{end_time}`, and `{measurement_name}` for later formatting.  
+  If provided, it overrides the default window-query logic.
+- `time_delta`: Time interval for batching queries, e.g. "5m" for 5 minutes.  
+  Default: `5m`.
+- `delay`: Add a delay (in seconds) between producing batches.  
+  Default: `0`.
+- `max_retries`: Maximum number of retries for querying or producing;  
+  Note that consecutive retries have a multiplicative backoff.
+  Default: `5`.
+
+
+## Testing Locally
+
+Rather than connect to a hosted InfluxDB3 instance, you can alternatively test your 
+application using a local instance of Influxdb3 using Docker:
+
+1. Execute in terminal:
+
+    ```bash
+    docker run --rm -d --name influxdb3 \
+    -p 8181:8181 \
+    quay.io/influxdb/influxdb3-core:latest \
+    serve --node-id=host0 --object-store=memory
+    ```
+
+2. Use the following settings for `InfluxDB3Source` to connect:
+
+    ```python
+    InfluxDB3Source(
+        host="http://localhost:8181",   # be sure to add http
+        organization_id="local",        # unused, but required
+        token="local",                  # unused, but required
+        database="<YOUR DB>",
+    )
+    ```
+
+Note: the database must exist for this to successfully run.

pyproject.toml

@@ -30,7 +30,7 @@ Homepage = "https://github.com/quixio/quix-streams"
 all = [
     "fastavro>=1.8,<2.0",
     "protobuf>=5.27.2,<6.0",
-    "influxdb3-python>=0.7,<1.0",
+    "influxdb3-python[pandas]>=0.7,<1.0",
     "pyiceberg[pyarrow,glue]>=0.7,<0.8",
     "google-cloud-bigquery>=3.26.0,<3.27",
     "google-cloud-pubsub>=2.23.1,<3",
@@ -46,7 +46,7 @@ all = [
 
 avro = ["fastavro>=1.8,<2.0"]
 protobuf = ["protobuf>=5.27.2,<6.0"]
-influxdb3 = ["influxdb3-python>=0.7,<1.0"]
+influxdb3 = ["influxdb3-python[pandas]>=0.7,<1.0"]
 iceberg = ["pyiceberg[pyarrow]>=0.7,<0.8"]
 iceberg_aws = ["pyiceberg[pyarrow,glue]>=0.7,<0.8"]
 bigquery = ["google-cloud-bigquery>=3.26.0,<3.27"]

quixstreams/sources/community/influxdb3/__init__.py

@@ -0,0 +1,2 @@
+# ruff: noqa: F403
+from .influxdb3 import *