agora-etl-plugins 0.2.1

Official plugins for agora-etl — Kafka, PostgreSQL, Redis, cron scheduling, and distributed coordination.

Agora ETL Plugins

Official plugin collection for agora-etl — Redis, cron scheduling, distributed coordination, Kafka, and PostgreSQL.

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Overview

agora-etl-plugins extends agora-etl with production-ready integrations. Plugins are auto-discovered via Python entry-points — install the package and they register themselves automatically, no manual wiring needed.

Canonical ecosystem docs live in the Agora docs site:

• Plugin ecosystem overview: https://agora.my-working.com/plugins/
• Core docs home: https://agora.my-working.com/

This README stays focused on package-specific quickstart information.

from agora import Pipeline
from agora_plugins.redis.sources import RedisStreamSource
from agora_plugins.redis.sinks import RedisSink

summary = await (
    Pipeline(RedisStreamSource(url="redis://localhost:6379", stream="events", group="my-group", consumer="worker-1"))
    .build(RedisSink(url="redis://localhost:6379", key_fn=lambda r: r["id"]))
    .run()
)
print(f"written={summary.records_written}  errors={summary.records_errored}")

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Install

pip install "agora-etl-plugins[redis]"        # Redis source, sink, state, DLQ, dedup, AI cache
pip install "agora-etl-plugins[cron]"         # Cron schedule support for ScheduledPipeline
pip install "agora-etl-plugins[distributed]"  # Redis-backed distributed worker coordination
pip install "agora-etl-plugins[kafka]"        # Kafka source and sink
pip install "agora-etl-plugins[postgres]"     # PostgreSQL source, sink, DLQ, schema adapter
pip install "agora-etl-plugins[all]"          # Everything in one install

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Available plugins

Redis [redis]

Full Redis integration — streaming ingestion, writes, dead-letter queue, state, deduplication, and LLM response caching.

Component	Type	Description
RedisStreamSource	Source	Consume records from a Redis Stream via XREADGROUP
RedisSink	Sink	Write records to Redis (SET / LPUSH / RPUSH / XADD)
RedisDLQSink	Sink	Route failed records to a Redis-backed dead-letter queue
RedisDLQSource	Source	Replay failed records from the Redis DLQ
RedisBackend	State	Redis-backed state backend with TTL and membership support
RedisStore	Dedup	Exact-match deduplication via Redis SET NX
RedisEmbeddingStore	Dedup	Semantic deduplication using cosine similarity (up to ~10k entries)
RedisLLMCache	AI Cache	Distributed LLM response cache backed by Redis

from agora_plugins.redis.sources import RedisStreamSource
from agora_plugins.redis.sinks import RedisSink
from agora_plugins.redis.dlq import RedisDLQSink, RedisDLQSource
from agora_plugins.redis.state import RedisBackend
from agora_plugins.redis.dedup.stores import RedisStore, RedisEmbeddingStore
from agora_plugins.redis.ai.cache import RedisLLMCache

RedisStreamSource

At-least-once delivery via consumer groups. Acknowledges messages only after successful downstream write.

source = RedisStreamSource(
    url="redis://localhost:6379",
    stream="agora:events",
    group="pipeline-1",
    consumer="worker-1",
    deserializer=lambda fields: MyRecord(**fields),
    batch_size=100,
    block_ms=2000,
    reclaim_idle_ms=60_000,   # reclaim stale pending messages from dead consumers
)

RedisSink

Supports four write modes: set, lpush, rpush, xadd.

# Write as Redis Stream entries
sink = RedisSink(
    url="redis://localhost:6379",
    key_fn=lambda r: "agora:processed",
    serializer=lambda r: {"id": r["id"], "value": r["value"]},
    mode="xadd",
    maxlen=10_000,
)

# Write as key-value pairs with TTL
sink = RedisSink(
    url="redis://localhost:6379",
    key_fn=lambda r: f"cache:{r['id']}",
    serializer=lambda r: json.dumps(r),
    mode="set",
    ttl_seconds=3600,
)

Dead-letter queue

from agora_plugins.redis.dlq import RedisDLQSink, RedisDLQSource

# Route failures to DLQ
summary = await (
    Pipeline(source)
    .build(sink, dlq=RedisDLQSink(url="redis://localhost:6379"))
    .run()
)

# Replay failed records
dlq_source = RedisDLQSource(
    url="redis://localhost:6379",
    pipeline_id="my-pipeline",
    stage="sink_write",
)
async for record in dlq_source.stream():
    print(record.error_message)

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Cron [cron]

Adds cron expression support to ScheduledPipeline. Without this plugin, only interval-based scheduling is available.

from agora.runner import Schedule, ScheduledPipeline

pipeline = ScheduledPipeline(
    factory=lambda: my_pipeline,
    schedule=Schedule.cron("0 9 * * 1-5"),  # weekdays at 9am
)
await pipeline.start()

Supported expression format: standard 5-field cron (minute hour day month weekday).

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Distributed [distributed]

Redis-backed distributed worker coordination. Prevents duplicate pipeline runs when multiple worker instances are deployed.

Each worker acquires a per-pipeline lease before each run and releases it atomically via a Lua script. Workers register heartbeats so the fleet is visible via agora plugins list.

from agora_plugins.distributed import RedisWorkerCoordinator, DistributedConfig
from agora.runner import WorkerPool

config = DistributedConfig()  # reads AGORA_DISTRIBUTED_* env vars
coordinator = RedisWorkerCoordinator(
    redis_url=config.redis_url,
    lease_ttl_seconds=config.lease_ttl_seconds,
    heartbeat_interval=config.heartbeat_interval,
)

pool = WorkerPool(coordinator=coordinator)
pool.register(my_pipeline)
await pool.run()

Environment variables:

Variable	Default	Description
AGORA_DISTRIBUTED_REDIS_URL	redis://localhost:6379	Redis connection URL
AGORA_DISTRIBUTED_LEASE_TTL_SECONDS	300	Lease duration — must exceed longest pipeline run
AGORA_DISTRIBUTED_HEARTBEAT_INTERVAL	30	Heartbeat interval in seconds
AGORA_DISTRIBUTED_KEY_PREFIX	agora:distributed:	Redis key namespace
AGORA_DISTRIBUTED_FALLBACK_TO_LOCAL	false	If true, continue without coordination when Redis is unavailable (risks duplicate runs)

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Kafka [kafka]

Kafka source and sink built on aiokafka, with async serializers and bounded pending acknowledgements for backpressure-aware writes.

import json

from agora_plugins.kafka import KafkaSink, KafkaSource

sink = KafkaSink(
    topic="events",
    bootstrap_servers="localhost:9092",
    serializer=lambda record: json.dumps(record).encode(),
)

source = KafkaSource(
    topics=["events"],
    bootstrap_servers="localhost:9092",
    group_id="agora-consumer",
    deserializer=lambda payload: json.loads(payload.decode()),
)

PostgreSQL [postgres]

PostgreSQL source, sink, DLQ, and schema adapter built on psycopg.

from agora_plugins.postgres import PostgresSink, PostgresSource

source = PostgresSource(
    dsn="postgresql://localhost/agora",
    query="SELECT id, name, score FROM public.events ORDER BY id",
    row_mapper=lambda row: row,
)

sink = PostgresSink(
    dsn="postgresql://localhost/agora",
    table="public.events",
    row_mapper=lambda record: record,
    conflict_key="id",
)

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Plugin auto-discovery

Source and sink plugins register themselves via Python entry-points. After installing, run:

agora plugins list

to see the currently registered source, sink, and middleware plugins.

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Requirements

• Python 3.11+
• agora-etl >= 0.1.2

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License

Apache 2.0 — see LICENSE.