initial commit

.gitignore

···
+# Python-generated files
+__pycache__/
+*.py[oc]
+build/
+dist/
+wheels/
+*.egg-info
+
+# Virtual environments
+.venv

.python-version

···
+3.12

Dockerfile

···
+FROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim
+
+ENV DEBIAN_FRONTEND=noninteractive
+ENV TZ=UTC
+ENV PYTHONUNBUFFERED=1
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    dumb-init \
+    curl \
+    build-essential \
+    libsnappy-dev \
+    zlib1g-dev \
+    ca-certificates \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+COPY pyproject.toml uv.lock ./
+
+RUN uv sync --frozen --no-dev
+
+COPY *.py ./
+
+ENV METRICS_PORT=6009
+ENV EMBEDDING_DEVICE=cuda
+ENV NVIDIA_VISIBLE_DEVICES=all
+ENV NVIDIA_DRIVER_CAPABILITIES=compute,utility
+
+EXPOSE 6009
+
+ENTRYPOINT ["/usr/bin/dumb-init", "--"]
+CMD ["uv", "run", "main.py"]

LICENSE

···
+MIT License
+
+Copyright (c) 2025 [e-mail]
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

config.py

···
+from typing import List
+
+from pydantic_settings import BaseSettings
+
+
+class Config(BaseSettings):
+    ch_host: str = "localhost"
+    ch_port: int = 8123
+    ch_user: str = "default"
+    ch_pass: str = "clickhouse"
+
+    batch_size: int = 1000
+
+    kafka_bootstrap_servers: List[str] = ["localhost:9092"]
+    kafka_input_topic: str = "tap-events"
+    kafka_group_id: str = "followgrap-indexer"
+    kafka_auto_offset_reset: str = "latest"
+
+    metrics_port: int = 8500
+    metrics_host: str = "0.0.0.0"
+
+
+CONFIG = Config()

docker-compose.yaml

···
+volumes:
+  clickhouse_data: {}
+
+services:
+  clickhouse:
+    image: clickhouse/clickhouse-server:24.1
+    hostname: clickhouse
+    container_name: clickhouse
+    ports:
+      - "127.0.0.1:8123:8123"
+      - "127.0.0.1:9000:9000"
+    volumes:
+      - clickhouse_data:/var/lib/clickhouse
+    environment:
+      CLICKHOUSE_DB: default
+      CLICKHOUSE_USER: default
+      CLICKHOUSE_PASSWORD: clickhouse
+    healthcheck:
+      test: ["CMD", "clickhouse-client", "--query", "SELECT 1"]
+      interval: 5s
+      timeout: 3s
+      retries: 5
+
+  # indexer:
+  #   build: .
+  #   ports:
+  #     # metrics port
+  #     - "6009:6009"
+  #   depends_on:
+  #     clickhouse:
+  #       condition: service_healthy
+  #   environment:
+  #     KAFKA_BOOTSTRAP_SERVERS: "localhost:9092"
+  #     KAFKA_INPUT_TOPIC: "tap-events"
+  #
+  #     CLICKHOUSE_HOST: "clickhouse"

indexer.py

···
+import asyncio
+import json
+import logging
+from datetime import datetime
+from threading import Lock
+from time import time
+from typing import Any, List, Optional
+
+import click
+from aiokafka import AIOKafkaConsumer, ConsumerRecord
+from clickhouse_connect import create_client
+from dateutil.parser import isoparse
+
+from config import CONFIG
+from metrics import prom_metrics
+from models import AtKafkaEvent, Follow, FollowRecord, Unfollow
+
+logging.basicConfig(
+    level=logging.INFO,
+    format=logging.BASIC_FORMAT,
+)
+
+logger = logging.getLogger(__name__)
+
+
+class FollowIndexer:
+    def __init__(
+        self,
+        clickhouse_host: str,
+        clickhouse_port: int,
+        clickhouse_user: str,
+        clickhouse_pass: str,
+        batch_size: int,
+    ):
+        self.client = create_client(
+            host=clickhouse_host,
+            port=clickhouse_port,
+            username=clickhouse_user,
+            password=clickhouse_pass,
+        )
+
+        self.batch_size = batch_size
+
+        self._follow_batch: List[Follow] = []
+        self._unfollow_batch: List[Unfollow] = []
+
+        self._follow_lock = Lock()
+        self._unfollow_lock = Lock()
+
+        self._last_follow_flush = datetime.now()
+        self._last_unfollow_flush = datetime.now()
+
+        logger.info(f"Connected to Clickhouse: {clickhouse_host}:{clickhouse_port}")
+
+    def init_schema(self):
+        queries = [
+            """
+            CREATE TABLE IF NOT EXISTS follows (
+                did String,
+                subject String,
+                uri String,
+                created_at DateTime
+            ) ENGINE = MergeTree()
+            PARTITION BY toYYYYMM(created_at)
+            ORDER BY (did, subject)
+            """,
+            """
+            CREATE TABLE IF NOT EXISTS follows_reverse(
+                did String,
+                subject String,
+                uri String,
+                created_at DateTime
+            ) ENGINE = MergeTree()
+            PARTITION BY toYYYYMM(created_at)
+            ORDER BY (subject, did)
+            """,
+            """
+            CREATE TABLE IF NOT EXISTS unfollows (
+                uri String PRIMARY KEY,
+                created_at DateTime
+            ) ENGINE = MergeTree()
+            """,
+        ]
+
+        for query in queries:
+            try:
+                self.client.command(query)
+            except Exception as e:
+                logger.error(f"Failed to execute schema query: {e}")
+                raise
+
+        logger.info("Follow schemas initialized successfully")
+
+    def insert_follow(self, follow: Follow):
+        to_insert: Optional[List[Follow]] = None
+
+        with self._follow_lock:
+            self._follow_batch.append(follow)
+
+            if len(self._follow_batch) >= self.batch_size:
+                to_insert = self._follow_batch.copy()
+                self._follow_batch = []
+
+        if not to_insert:
+            return
+
+        self._flush_follows(to_insert)
+
+    def _flush_follows(self, follows: List[Follow]):
+        status = "error"
+        start_time = time()
+        try:
+            follows_data = [[f.did, f.subject, f.uri, f.created_at] for f in follows]
+
+            self.client.insert(
+                "follows",
+                follows_data,
+                column_names=["did", "subject", "uri", "created_at"],
+            )
+
+            status = "ok"
+        except Exception as e:
+            # TODO: handle errors gracefully
+            logger.error(f"Error inserting batch: {e}")
+        finally:
+            prom_metrics.insert_duration.labels(kind="follow", status=status).observe(
+                time() - start_time
+            )
+
+    def insert_unfollow(self, unfollow: Unfollow):
+        to_insert: Optional[List[Unfollow]] = None
+
+        with self._unfollow_lock:
+            self._unfollow_batch.append(unfollow)
+
+            if len(self._unfollow_batch) >= self.batch_size:
+                to_insert = self._unfollow_batch.copy()
+                self._unfollow_batch = []
+
+        if not to_insert:
+            return
+
+        self._flush_unfollows(to_insert)
+
+    def _flush_unfollows(self, unfollows: List[Unfollow]):
+        status = "error"
+        start_time = time()
+        try:
+            unfollows_data = [[f.uri, f.created_at] for f in unfollows]
+
+            self.client.insert(
+                "unfollows",
+                unfollows_data,
+                column_names=["uri", "created_at"],
+            )
+
+            status = "ok"
+        except Exception as e:
+            # TODO: handle errors gracefully
+            logger.error(f"Error inserting batch: {e}")
+        finally:
+            prom_metrics.insert_duration.labels(kind="unfollow", status=status).observe(
+                time() - start_time
+            )
+
+    def flush_all(self):
+        with self._follow_lock:
+            if self._follow_batch:
+                batch_to_flush = self._follow_batch.copy()
+                self._follow_batch = []
+                self._flush_follows(batch_to_flush)
+
+        with self._unfollow_lock:
+            if self._unfollow_batch:
+                batch_to_flush = self._unfollow_batch.copy()
+                self._unfollow_batch = []
+                self._flush_unfollows(batch_to_flush)
+
+
+class Consumer:
+    def __init__(
+        self,
+        indexer: FollowIndexer,
+        bootstrap_servers: List[str],
+        input_topic: str,
+        group_id: str,
+    ):
+        self.indexer = indexer
+        self.bootstrap_servers = bootstrap_servers
+        self.input_topic = input_topic
+        self.group_id = group_id
+        self.consumer: Optional[AIOKafkaConsumer] = None
+        self._flush_task: Optional[asyncio.Task[Any]] = None
+
+    async def stop(self):
+        if self._flush_task:
+            self._flush_task.cancel()
+            try:
+                await self._flush_task
+            except asyncio.CancelledError:
+                pass
+
+        self.indexer.flush_all()
+
+        if self.consumer:
+            await self.consumer.stop()
+            logger.info("Stopped Kafka consumer")
+
+    async def _periodic_flush(self):
+        try:
+            while True:
+                await asyncio.sleep(5)
+                self.indexer.flush_all()
+        except asyncio.CancelledError:
+            logger.info("Periodic flush task cancelled")
+            raise
+
+    async def _handle_event(self, message: ConsumerRecord[Any, Any]):
+        status = "error"
+        kind = "unk"
+
+        try:
+            evt = AtKafkaEvent.model_validate(message.value)
+
+            if not evt.operation or evt.operation.collection != "app.bsky.graph.follow":
+                kind = "skipped"
+                status = "ok"
+                return
+
+            op = evt.operation
+
+            if op.action == "update":
+                kind = "update"
+                status = "ok"
+                return
+            elif op.action == "create":
+                kind = "create"
+
+                rec = FollowRecord.model_validate(op.record)
+                created_at = isoparse(rec.created_at)
+
+                follow = Follow(
+                    uri=op.uri, did=evt.did, subject=rec.subject, created_at=created_at
+                )
+
+                self.indexer.insert_follow(follow)
+            else:
+                kind = "delete"
+
+                kind = "delete"
+
+                unfollow = Unfollow(uri=op.uri, created_at=datetime.now())
+
+                self.indexer.insert_unfollow(unfollow)
+
+            status = "ok"
+        except Exception as e:
+            logger.error(f"Failed to handle event: {e}")
+        finally:
+            prom_metrics.events_handled.labels(kind=kind, status=status)
+
+    async def run(self):
+        self.consumer = AIOKafkaConsumer(
+            self.input_topic,
+            bootstrap_servers=",".join(self.bootstrap_servers),
+            group_id=self.group_id,
+            auto_offset_reset="earliest",
+            enable_auto_commit=True,
+            auto_commit_interval_ms=5000,
+            session_timeout_ms=30000,
+            max_poll_interval_ms=300000,
+            value_deserializer=lambda m: json.loads(m.decode("utf-8")),
+        )
+        await self.consumer.start()
+        logger.info(
+            f"Started Kafak consumer for topic: {self.bootstrap_servers}, {self.input_topic}"
+        )
+
+        if not self.consumer:
+            raise RuntimeError("Consumer not started, call start() first.")
+
+        try:
+            async for message in self.consumer:
+                asyncio.ensure_future(self._handle_event(message))
+                prom_metrics.events_received.inc()
+        except Exception as e:
+            logger.error(f"Error consuming messages: {e}")
+            raise
+        finally:
+            self.indexer.flush_all()
+
+
[e-mail]()
[e-mail](
+    "--ch-host",
+)
[e-mail](
+    "--ch-port",
+    type=int,
+)
[e-mail](
+    "--ch-user",
+)
[e-mail](
+    "--ch-pass",
+)
[e-mail](
+    "--batch-size",
+    type=int,
+)
[e-mail](
+    "--bootstrap-servers",
+    type=List[str],
+)
[e-mail](
+    "--input-topic",
+)
[e-mail](
+    "--group-id",
+)
[e-mail](
+    "--metrics-host",
+)
[e-mail](
+    "--metrics-port",
+    type=int,
+)
+def main(
+    ch_host: Optional[str],
+    ch_port: Optional[int],
+    ch_user: Optional[str],
+    ch_pass: Optional[str],
+    batch_size: Optional[int],
+    bootstrap_servers: Optional[List[str]],
+    input_topic: Optional[str],
+    group_id: Optional[str],
+    metrics_host: Optional[str],
+    metrics_port: Optional[int],
+):
+    prom_metrics.start_http(
+        addr=metrics_host or CONFIG.metrics_host,
+        port=metrics_port or CONFIG.metrics_port,
+    )
+
+    indexer = FollowIndexer(
+        clickhouse_host=ch_host or CONFIG.ch_host,
+        clickhouse_port=ch_port or CONFIG.ch_port,
+        clickhouse_user=ch_user or CONFIG.ch_user,
+        clickhouse_pass=ch_pass or CONFIG.ch_pass,
+        batch_size=batch_size or CONFIG.batch_size,
+    )
+    indexer.init_schema()
+
+    consumer = Consumer(
+        indexer=indexer,
+        bootstrap_servers=bootstrap_servers or CONFIG.kafka_bootstrap_servers,
+        input_topic=input_topic or CONFIG.kafka_input_topic,
+        group_id=group_id or CONFIG.kafka_group_id,
+    )
+
+    try:
+        asyncio.run(consumer.run())
+    except KeyboardInterrupt:
+        logger.info("Shutting down...")
+    finally:
+        asyncio.run(consumer.stop())
+
+    pass
+
+
+if __name__ == "__main__":
+    main()

main.py

···
+def main():
+    print("Hello from followgrpah!")
+
+
+if __name__ == "__main__":
+    main()

metrics.py

···
+import logging
+
+from prometheus_client import Counter, Histogram, start_http_server
+
+NAMESPACE = "followgraph_indexer"
+
+logger = logging.getLogger(__name__)
+
+
+class PromMetrics:
+    _instance = None
+
+    def __new__(cls):
+        if cls._instance is None:
+            cls._instance = super().__new__(cls)
+            cls._instance._initialized = False
+        return cls._instance
+
+    def __init__(self):
+        if self._initialized:
+            return
+
+        self.events_received = Counter(
+            name="events_received",
+            namespace=NAMESPACE,
+            documentation="Number of events received",
+        )
+
+        self.events_handled = Counter(
+            name="events_handled",
+            namespace=NAMESPACE,
+            documentation="Number of events handled",
+            labelnames=["kind", "status"],
+        )
+
+        self.insert_duration = Histogram(
+            name="embedding_duration_seconds",
+            namespace=NAMESPACE,
+            buckets=(
+                0.001,
+                0.005,
+                0.01,
+                0.025,
+                0.05,
+                0.1,
+                0.25,
+                0.5,
+                1.0,
+                2.5,
+                5.0,
+                10.0,
+            ),
+            labelnames=["kind", "status"],
+            documentation="Time taken to insert a batch",
+        )
+
+        self._initialized = True
+
+    def start_http(self, port: int, addr: str = "0.0.0.0"):
+        logger.info(f"Starting Prometheus client on {addr}:{port}")
+        start_http_server(port=port, addr=addr)
+        logger.info(f"Prometheus client running on {addr}:{port}")
+
+
+prom_metrics = PromMetrics()

models.py

···
+from datetime import datetime
+from typing import Any, Dict, Optional, List
+
+from pydantic import BaseModel, Field
+
+
+class AtKafkaOp(BaseModel):
+    action: str
+    collection: str
+    rkey: str
+    uri: str
+    cid: str
+    path: str
+    record: Optional[Dict[str, Any]]
+
+
+class AtKafkaIdentity(BaseModel):
+    seq: int
+    handle: str
+
+
+class AtKafkaInfo(BaseModel):
+    name: str
+    message: Optional[str] = None
+
+
+class AtKafkaAccount(BaseModel):
+    active: bool
+    seq: int
+    status: Optional[str] = None
+
+
+class DIDDocument(BaseModel):
+    context: Optional[List[Any]] = Field(None, alias="@context")
+    id: Optional[str] = None
+    also_known_as: Optional[List[Any]] = Field(None, alias="alsoKnownAs")
+    verification_method: Optional[List[Any]] = Field(None, alias="verificationMethod")
+    service: Optional[List[Any]] = None
+
+    class Config:
+        populate_by_name = True
+
+
+class ProfileViewDetailed(BaseModel):
+    did: str
+    handle: str
+    display_name: Optional[str] = Field(None, alias="displayName")
+    description: Optional[str] = None
+    avatar: Optional[str] = None
+    banner: Optional[str] = None
+    followers_count: Optional[int] = Field(None, alias="followersCount")
+    follows_count: Optional[int] = Field(None, alias="followsCount")
+    posts_count: Optional[int] = Field(None, alias="postsCount")
+    indexed_at: Optional[str] = Field(None, alias="indexedAt")
+    viewer: Optional[Dict[str, Any]] = None
+    labels: Optional[List[Any]] = None
+
+    class Config:
+        populate_by_name = True
+
+
+class EventMetadata(BaseModel):
+    did_document: Optional[DIDDocument] = Field(None, alias="didDocument")
+    pds_host: Optional[str] = Field(None, alias="pdsHost")
+    handle: Optional[str] = None
+    did_created_at: Optional[str] = Field(None, alias="didCreatedAt")
+    account_age: Optional[int] = Field(None, alias="accountAge")
+    profile: Optional[ProfileViewDetailed] = None
+
+    class Config:
+        populate_by_name = True
+
+
+class AtKafkaEvent(BaseModel):
+    did: str
+    timestamp: str
+    metadata: Optional[EventMetadata] = Field(None, alias="eventMetadata")
+    operation: Optional[AtKafkaOp] = None
+    account: Optional[AtKafkaAccount] = None
+    identity: Optional[AtKafkaIdentity] = None
+    info: Optional[AtKafkaInfo] = None
+
+    class Config:
+        populate_by_name = True
+
+
+class FollowRecord(BaseModel):
+    created_at: str = Field(..., alias="createdAt")
+    subject: str
+
+
+class Follow(BaseModel):
+    uri: str = Field(..., description="AT-uri for this follow relationship")
+    did: str = Field(..., description="DID for the user creating the follow")
+    subject: str = Field(..., description="DID for the subject being followed")
+    created_at: datetime = Field(..., description="When the follow was made")
+
+
+class Unfollow(BaseModel):
+    uri: str = Field(..., description="AT-uri for the deleted follow relationship")
+    created_at: datetime = Field(..., description="When the follow was made")

pyproject.toml

···
+[project]
+name = "followgrpah"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+    "aiokafka>=0.12.0",
+    "asyncio>=4.0.0",
+    "click>=8.3.1",
+    "clickhouse-connect>=0.10.0",
+    "prometheus-client>=0.23.1",
+    "pydantic>=2.12.5",
+    "pydantic-settings>=2.12.0",
+    "python-dateutil>=2.9.0.post0",
+    "python-snappy>=0.7.3",
+]

uv.lock

···
+version = 1
+revision = 3
+requires-python = ">=3.12"
+resolution-markers = [
+    "python_full_version >= '3.14'",
+    "python_full_version < '3.14'",
+]
+
+[[package]]
+name = "aiokafka"
+version = "0.12.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "async-timeout" },
+    { name = "packaging" },
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/65/ca/42a962033e6a7926dcb789168bce81d0181ef4ddabce454d830b7e62370e/aiokafka-0.12.0.tar.gz", hash = "sha256:62423895b866f95b5ed8d88335295a37cc5403af64cb7cb0e234f88adc2dff94", size = 564955, upload-time = "2024-10-26T20:53:11.227Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/53/d4/baf1b2389995c6c312834792329a1993a303ff703ac023250ff977c5923b/aiokafka-0.12.0-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:b01947553ff1120fa1cb1a05f2c3e5aa47a5378c720bafd09e6630ba18af02aa", size = 375031, upload-time = "2024-10-26T20:52:40.104Z" },
+    { url = "https://files.pythonhosted.org/packages/54/ac/653070a4add8beea7aa8209ab396de87c7b4f9628fff15efcdbaea40e973/aiokafka-0.12.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:e3c8ec1c0606fa645462c7353dc3e4119cade20c4656efa2031682ffaad361c0", size = 370619, upload-time = "2024-10-26T20:52:41.877Z" },
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