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1012 1013 1014 1015 1016 1017 1018 1019 1020 1021 1022 1023 1024 1025 1026 1027 1028 1029 1030 1031 1032 1033 1034 1035 1036 1037 1038 1039 | #!/usr/bin/env python3
"""
ETL Pipeline: Download epoch Parquet files, ingest into ClickHouse, and delete local files.
Usage:
python scripts/ingest_epoch.py --epoch 851
Environment Variables:
HF_TOKEN: Hugging Face token for downloading private datasets.
CLICKHOUSE_HOST, CLICKHOUSE_HTTP_PORT (or legacy CLICKHOUSE_PORT), CLICKHOUSE_NATIVE_PORT, CLICKHOUSE_USER, CLICKHOUSE_PASSWORD, CLICKHOUSE_DATABASE
NEO4J_URI, NEO4J_USER, NEO4J_PASSWORD, NEO4J_MERGE_BATCH_SIZE
NEO4J_MERGE_BOLT_PORT, NEO4J_MERGE_HTTP_PORT, NEO4J_MERGE_TEMP_ROOT
"""
import argparse
import os
import sys
import time
from pathlib import Path
import clickhouse_connect
from huggingface_hub import snapshot_download
from tqdm import tqdm
# Hugging Face config
REPO_ID = "zirobtc/pump-fun-dataset"
REPO_TYPE = "model"
DEFAULT_DEST_DIR = "./data/pump_fun"
DEFAULT_SCHEMA_FILE = "./onchain.sql"
CLICKHOUSE_INSERT_SETTINGS = "max_insert_threads=1,max_block_size=65536"
NEO4J_TARGET_DB = "neo4j"
NEO4J_TEMP_DB_PREFIX = "epoch"
# Parquet file stems -> ClickHouse table names
# Maps the file stem to the target table. Usually they match.
PARQUET_TABLE_MAP = {
"wallet_profiles": "wallet_profiles",
"wallet_holdings": "wallet_holdings",
"trades": "trades",
"transfers": "transfers",
"burns": "burns",
"tokens": "tokens",
"mints": "mints",
"liquidity": "liquidity",
"pool_creations": "pool_creations",
"token_metrics": "token_metrics",
"wallet_profile_metrics": "wallet_profile_metrics",
"migrations": "migrations",
"fee_collections": "fee_collections",
"supply_locks": "supply_locks",
"supply_lock_actions": "supply_lock_actions",
"known_wallets": "known_wallets",
}
# Neo4j dump filename pattern
NEO4J_FILENAME = "neo4j_epoch_{epoch}.dump"
# Social files (off-chain, not epoch based)
SOCIAL_FILES = [
"wallet_socials_1763057853.parquet",
"wallet_socials_2.parquet",
"wallet_socials_3.parquet",
]
def _load_dotenv_if_missing(env_path: Path) -> None:
if not env_path.exists():
return
for line in env_path.read_text().splitlines():
line = line.strip()
if not line or line.startswith("#") or "=" not in line:
continue
key, value = line.split("=", 1)
key = key.strip()
value = value.strip().strip('"').strip("'")
if key and key not in os.environ:
os.environ[key] = value
_load_dotenv_if_missing(Path(".env"))
# ClickHouse connection defaults (can be overridden by env vars)
CH_HOST = os.getenv("CLICKHOUSE_HOST", "localhost")
CH_HTTP_PORT = int(os.getenv("CLICKHOUSE_HTTP_PORT", os.getenv("CLICKHOUSE_PORT", "8123")))
CH_NATIVE_PORT = int(os.getenv("CLICKHOUSE_NATIVE_PORT", "9000"))
CH_USER = os.getenv("CLICKHOUSE_USER", "default")
CH_PASSWORD = os.getenv("CLICKHOUSE_PASSWORD", "")
CH_DATABASE = os.getenv("CLICKHOUSE_DATABASE", "default")
NEO4J_URI = os.getenv("NEO4J_URI", "bolt://localhost:7687")
NEO4J_USER = os.getenv("NEO4J_USER")
NEO4J_PASSWORD = os.getenv("NEO4J_PASSWORD")
NEO4J_MERGE_BATCH_SIZE = int(os.getenv("NEO4J_MERGE_BATCH_SIZE", "50000"))
NEO4J_MERGE_LOG_EVERY = int(os.getenv("NEO4J_MERGE_LOG_EVERY", "10"))
NEO4J_MERGE_RETRIES = int(os.getenv("NEO4J_MERGE_RETRIES", "5"))
NEO4J_MERGE_RETRY_SLEEP = float(os.getenv("NEO4J_MERGE_RETRY_SLEEP", "5"))
NEO4J_MERGE_PARALLEL = os.getenv("NEO4J_MERGE_PARALLEL", "true").lower() == "true"
NEO4J_MERGE_BOLT_PORT = int(os.getenv("NEO4J_MERGE_BOLT_PORT", "7688"))
NEO4J_MERGE_HTTP_PORT = int(os.getenv("NEO4J_MERGE_HTTP_PORT", "7475"))
NEO4J_MERGE_TEMP_ROOT = os.getenv("NEO4J_MERGE_TEMP_ROOT", "/tmp/neo4j_merge")
NEO4J_MERGE_HEAP_INITIAL = os.getenv("NEO4J_MERGE_HEAP_INITIAL")
NEO4J_MERGE_HEAP_MAX = os.getenv("NEO4J_MERGE_HEAP_MAX")
NEO4J_MERGE_PAGECACHE = os.getenv("NEO4J_MERGE_PAGECACHE")
def _find_free_port(start_port: int) -> int:
import socket
port = start_port
while True:
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as sock:
sock.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
try:
sock.bind(("127.0.0.1", port))
return port
except OSError:
port += 1
def _run_neo4j_cmd(
argv: list[str],
run_as: str | None = None,
env: dict[str, str] | None = None,
) -> "subprocess.CompletedProcess[str]":
import pwd
import subprocess
full_argv = argv
if env:
env_prefix = ["env"] + [f"{k}={v}" for k, v in env.items()]
full_argv = env_prefix + full_argv
if run_as is None:
try:
neo4j_uid = pwd.getpwnam("neo4j").pw_uid
except KeyError:
neo4j_uid = None
if neo4j_uid is not None and os.geteuid() != neo4j_uid:
full_argv = ["sudo", "-u", "neo4j"] + full_argv
else:
if run_as != "root":
full_argv = ["sudo", "-u", run_as] + full_argv
return subprocess.run(full_argv, capture_output=True, text=True)
def _neo4j_process_owner() -> str | None:
import re
import subprocess
status = _run_neo4j_cmd(["neo4j", "status", "--verbose"])
combined = (status.stdout + status.stderr)
match = re.search(r"pid\\s+(\\d+)", combined)
if not match:
return None
pid = match.group(1)
proc = subprocess.run(["ps", "-o", "user=", "-p", pid], capture_output=True, text=True)
if proc.returncode != 0:
return None
return proc.stdout.strip() or None
def _neo4j_is_running() -> bool:
result = _run_neo4j_cmd(["neo4j", "status"])
if result.returncode != 0:
return False
return "running" in (result.stdout + result.stderr).lower()
def _ensure_neo4j_log_writable() -> None:
import pwd
conf_path = Path(os.getenv("NEO4J_CONF", "/etc/neo4j/neo4j.conf"))
if not conf_path.exists():
return
logs_dir = None
for line in conf_path.read_text().splitlines():
line = line.strip()
if not line or line.startswith("#"):
continue
if line.startswith("server.directories.logs="):
logs_dir = line.split("=", 1)[1].strip()
break
if not logs_dir:
return
logs_path = Path(logs_dir)
try:
logs_path.mkdir(parents=True, exist_ok=True)
except OSError:
return
try:
neo4j_user = pwd.getpwnam("neo4j")
except KeyError:
return
if os.geteuid() != 0:
if not os.access(logs_path, os.W_OK):
print(f" β οΈ Neo4j logs dir not writable: {logs_path}")
return
try:
for path in [logs_path] + list(logs_path.glob("*")):
os.chown(path, neo4j_user.pw_uid, neo4j_user.pw_gid)
except OSError:
pass
def _ensure_neo4j_data_writable() -> None:
import pwd
conf_path = Path(os.getenv("NEO4J_CONF", "/etc/neo4j/neo4j.conf"))
if not conf_path.exists():
return
data_dir = None
for line in conf_path.read_text().splitlines():
line = line.strip()
if not line or line.startswith("#"):
continue
if line.startswith("server.directories.data="):
data_dir = line.split("=", 1)[1].strip()
break
if not data_dir:
return
data_path = Path(data_dir)
try:
neo4j_user = pwd.getpwnam("neo4j")
except KeyError:
return
if os.geteuid() != 0:
if not os.access(data_path, os.W_OK):
print(f" β οΈ Neo4j data dir not writable: {data_path}")
return
try:
import subprocess
subprocess.run(["chown", "-R", f"{neo4j_user.pw_uid}:{neo4j_user.pw_gid}", str(data_path)], check=True)
except Exception:
pass
def _wait_for_bolt(
uri: str,
auth: tuple[str, str] | None = None,
database: str = NEO4J_TARGET_DB,
timeout_sec: int = 60,
) -> None:
from neo4j import GraphDatabase
start = time.time()
while True:
try:
driver = GraphDatabase.driver(uri, auth=auth)
with driver.session(database=database) as session:
session.run("RETURN 1").consume()
driver.close()
return
except Exception:
if time.time() - start > timeout_sec:
raise RuntimeError(f"Timed out waiting for Neo4j at {uri}")
time.sleep(1)
def _neo4j_driver():
from neo4j import GraphDatabase
if NEO4J_USER and NEO4J_PASSWORD:
return GraphDatabase.driver(NEO4J_URI, auth=(NEO4J_USER, NEO4J_PASSWORD))
return GraphDatabase.driver(NEO4J_URI, auth=None)
def build_patterns(epoch: int) -> list[str]:
"""Build the list of file patterns to download for a given epoch."""
epoch_str = str(epoch)
parquet_patterns = [f"{stem}_epoch_{epoch_str}.parquet" for stem in PARQUET_TABLE_MAP.keys()]
neo4j_pattern = NEO4J_FILENAME.format(epoch=epoch_str)
return parquet_patterns + [neo4j_pattern]
def download_epoch(epoch: int, dest_dir: Path, token: str | None) -> None:
"""Download epoch artifacts from Hugging Face."""
patterns = build_patterns(epoch)
dest_dir.mkdir(parents=True, exist_ok=True)
print(f"π₯ Downloading epoch {epoch} from {REPO_ID}...")
snapshot_download(
repo_id=REPO_ID,
repo_type=REPO_TYPE,
local_dir=str(dest_dir),
local_dir_use_symlinks=False,
allow_patterns=patterns,
resume_download=True,
token=token,
)
print("β
Download complete.")
def ingest_parquet(client, table_name: str, parquet_path: Path, dry_run: bool = False) -> bool:
"""
Ingest a Parquet file into a ClickHouse table.
Returns True on success.
"""
if dry_run:
print(f" [DRY-RUN] insert {parquet_path.name} -> {table_name}")
return True
try:
with parquet_path.open("rb") as fh:
magic = fh.read(4)
if magic != b"PAR1":
print(f" β οΈ Skipping {parquet_path.name}: not a Parquet file.")
return False
# clickhouse-connect (HTTP) doesn't support FROM INFILE; prefer streaming inserts.
# Using insert_file can still be memory-heavy for large Parquet on some setups.
import subprocess
insert_query = f"INSERT INTO {table_name} FORMAT Parquet SETTINGS {CLICKHOUSE_INSERT_SETTINGS}"
infile_query = f"INSERT INTO {table_name} FROM INFILE '{parquet_path.resolve()}' FORMAT Parquet"
try:
cmd = [
"clickhouse-client",
"--host", CH_HOST,
"--port", str(CH_NATIVE_PORT),
"--user", CH_USER,
"--password", CH_PASSWORD,
"--database", CH_DATABASE,
"--query", infile_query,
]
subprocess.run(cmd, check=True)
return True
except FileNotFoundError:
raise RuntimeError(
"clickhouse-client not found. Install clickhouse-client for native Parquet inserts."
)
except Exception as e:
print(f" β Failed to ingest {parquet_path.name}: {e}")
return False
def init_clickhouse_schema(schema_path: Path, dry_run: bool = False) -> bool:
if not schema_path.exists():
print(f" β ClickHouse schema file not found: {schema_path}")
return False
if dry_run:
print(f" [DRY-RUN] init schema from {schema_path}")
return True
import subprocess
cmd = [
"clickhouse-client",
"--host", CH_HOST,
"--port", str(CH_NATIVE_PORT),
"--user", CH_USER,
"--password", CH_PASSWORD,
"--database", CH_DATABASE,
"--multiquery",
]
try:
with schema_path.open("rb") as fh:
subprocess.run(cmd, stdin=fh, check=True)
print("β
ClickHouse schema initialized.")
return True
except FileNotFoundError:
print(" β clickhouse-client not found. Install it to initialize the schema.")
return False
except subprocess.CalledProcessError as e:
print(f" β Failed to initialize schema: {e}")
return False
def run_etl(
epoch: int,
dest_dir: Path,
client,
dry_run: bool = False,
token: str | None = None,
skip_neo4j: bool = False,
skip_clickhouse: bool = False,
merge_neo4j: bool = False,
) -> None:
"""
Full ETL pipeline:
1. Use local Parquet files (no download)
2. Ingest into ClickHouse
3. Keep local files (no deletion)
"""
if not dest_dir.exists():
raise FileNotFoundError(f"Epoch directory not found: {dest_dir}")
if not skip_clickhouse:
# Step 2: Ingest each Parquet file
print(f"\nπ€ Ingesting Parquet files into ClickHouse...")
for stem, table_name in tqdm(PARQUET_TABLE_MAP.items(), desc="Ingesting"):
parquet_path = dest_dir / f"{stem}_epoch_{epoch}.parquet"
if not parquet_path.exists():
print(f" β οΈ Skipping {stem}: file not found.")
continue
ingest_parquet(client, table_name, parquet_path, dry_run=dry_run)
print("\nβ
ClickHouse ingestion complete.")
else:
print("\nβΉοΈ ClickHouse ingestion skipped.")
# Step 3: Ingest Socials (if not skipping CH)
if not skip_clickhouse:
# dest_dir is .../epoch_X, so parent is .../pump_fun
ingest_socials(client, dest_dir.parent, dry_run=dry_run)
# Step 4: Neo4j dump
neo4j_path = dest_dir / NEO4J_FILENAME.format(epoch=epoch)
if neo4j_path.exists() and not skip_neo4j:
# Auto-detect: if target DB is empty, use direct load instead of merge
# This prevents the merge-on-empty-DB hang when the first epoch uses --merge-neo4j
if merge_neo4j and not dry_run:
try:
_driver = _neo4j_driver()
with _driver.session(database=NEO4J_TARGET_DB) as _session:
_count = _session.run("MATCH (n) RETURN count(n) AS c").single()["c"]
_driver.close()
if _count == 0:
print(f" [AUTO] Target DB is empty ({_count} nodes). Switching to direct load instead of merge.")
merge_neo4j = False
else:
print(f" [AUTO] Target DB has {_count} nodes. Proceeding with merge.")
except Exception as e:
print(f" [WARN] Could not check target DB node count: {e}. Proceeding with merge flag as-is.")
if merge_neo4j:
ok = merge_neo4j_epoch_dump(epoch, neo4j_path, dry_run=dry_run)
if not ok:
print(" β Neo4j merge failed. Aborting.")
sys.exit(1)
else:
ok = ingest_neo4j_dump(neo4j_path, database=NEO4J_TARGET_DB, dry_run=dry_run)
if not ok:
print(" β Neo4j dump load failed. Aborting.")
sys.exit(1)
elif neo4j_path.exists() and skip_neo4j:
print(f"\nβΉοΈ Neo4j dump found but skipped: {neo4j_path}")
print("\nπ Full ETL pipeline complete.")
def ingest_socials(client, root_dir: Path, dry_run: bool = False) -> None:
"""Ingest the static/off-chain wallet social files."""
social_dir = root_dir / "socials"
if not social_dir.exists():
print(f"\nβΉοΈ Socials directory not found at {social_dir}. Skipping social ingestion.")
return
print(f"\nπ₯ Ingesting Wallet Socials from {social_dir}...")
for filename in SOCIAL_FILES:
parquet_path = social_dir / filename
if not parquet_path.exists():
print(f" β οΈ Skipping {filename}: file not found.")
continue
# Target table is always 'wallet_socials' for these files
ingest_parquet(client, "wallet_socials", parquet_path, dry_run=dry_run)
print("β
Wallet Socials ingestion complete.")
def ingest_neo4j_dump(dump_path: Path, database: str = "neo4j", dry_run: bool = False) -> bool:
"""
Load a Neo4j dump file into the database.
Requires neo4j-admin CLI and the Neo4j service to be stopped.
Returns True on success.
"""
import subprocess
if not dump_path.exists():
print(f" β οΈ Neo4j dump not found: {dump_path}")
return False
import shutil
expected_dump_name = f"{database}.dump"
load_dir = dump_path.parent
temp_load_dir = None
if dump_path.name != expected_dump_name:
temp_load_dir = dump_path.parent / f"_neo4j_load_{database}"
temp_load_dir.mkdir(parents=True, exist_ok=True)
load_dump_path = temp_load_dir / expected_dump_name
shutil.copy2(dump_path, load_dump_path)
load_dir = temp_load_dir
# neo4j-admin database load requires a directory containing <database>.dump
# For Neo4j 5.x: neo4j-admin database load --from-path=<dir> --overwrite-destination <database>
cmd = [
"neo4j-admin", "database", "load",
f"--from-path={load_dir.resolve()}",
"--overwrite-destination",
database,
]
if dry_run:
print(f" [DRY-RUN] {' '.join(cmd)}")
return True
print(f"π Loading Neo4j dump into database '{database}'...")
print(" β οΈ Neo4j will be stopped for offline load.")
was_running = False
owner = None
try:
if not dry_run:
_ensure_neo4j_log_writable()
was_running = _neo4j_is_running()
if was_running:
owner = _neo4j_process_owner() or "root"
stop_result = _run_neo4j_cmd(["neo4j", "stop"], run_as=owner)
if stop_result.returncode != 0:
print(f" β Failed to stop Neo4j: {stop_result.stderr.strip()}")
return False
_ensure_neo4j_data_writable()
# Explicit chown to fix permission mismatch when Neo4j was started as root
if os.geteuid() == 0:
subprocess.run(["chown", "-R", "neo4j:neo4j", "/var/lib/neo4j/data"], check=False)
if dry_run:
print(f" [DRY-RUN] {' '.join(cmd)}")
return True
result = _run_neo4j_cmd(cmd)
if result.returncode != 0:
raise subprocess.CalledProcessError(result.returncode, cmd, output=result.stdout, stderr=result.stderr)
print(" β
Neo4j dump loaded successfully.")
return True
except FileNotFoundError:
print(" β neo4j-admin not found. Install it to load the dump locally.")
if temp_load_dir and not dry_run:
shutil.rmtree(temp_load_dir, ignore_errors=True)
return False
except subprocess.CalledProcessError as e:
print(f" β Failed to load Neo4j dump: {e.stderr}")
if temp_load_dir and not dry_run:
shutil.rmtree(temp_load_dir, ignore_errors=True)
return False
finally:
if not dry_run and was_running:
owner = owner or "root"
start_result = _run_neo4j_cmd(["neo4j", "start"], run_as=owner)
if start_result.returncode != 0:
print(f" β οΈ Failed to start Neo4j: {start_result.stderr.strip()}")
def _run_merge_batch(tx, query: str, rows: list[dict]) -> None:
tx.run(query, rows=rows)
def _ensure_indexes(session) -> None:
"""Create indexes for efficient MERGE operations."""
indexes = [
"CREATE INDEX wallet_address IF NOT EXISTS FOR (w:Wallet) ON (w.address)",
"CREATE INDEX token_address IF NOT EXISTS FOR (t:Token) ON (t.address)",
]
for idx_query in indexes:
try:
session.run(idx_query)
except Exception:
pass
try:
session.run("CALL db.awaitIndexes(300)")
except Exception:
pass
def _bulk_merge_apoc(
temp_session,
target_session,
match_query: str,
merge_query: str,
label: str,
total: int | None = None,
) -> None:
"""
Fast bulk merge using APOC periodic.iterate if available.
Falls back to optimized batching if APOC not installed.
"""
has_apoc = False
try:
result = target_session.run("RETURN apoc.version() AS version")
result.consume()
has_apoc = True
except Exception:
pass
if has_apoc:
_bulk_merge_with_apoc(temp_session, target_session, match_query, merge_query, label, total)
else:
_bulk_merge_optimized(temp_session, target_session, match_query, merge_query, label, total)
def _bulk_merge_with_apoc(
temp_session,
target_session,
match_query: str,
merge_query: str,
label: str,
total: int | None = None,
) -> None:
"""Use APOC periodic.iterate for maximum speed."""
from neo4j.exceptions import DatabaseUnavailable
print(f" π {label}: using APOC bulk merge (total: {total or 'unknown'})")
all_rows = []
retries = 0
while True:
try:
result = temp_session.run(match_query)
all_rows = [record.data() for record in result]
break
except DatabaseUnavailable:
retries += 1
if retries > NEO4J_MERGE_RETRIES:
raise
print(f" β οΈ {label}: database unavailable, retry {retries}/{NEO4J_MERGE_RETRIES}")
time.sleep(NEO4J_MERGE_RETRY_SLEEP)
if not all_rows:
print(f" β
{label}: 0 (no data)")
return
apoc_query = f"""
CALL apoc.periodic.iterate(
'UNWIND $rows AS t RETURN t',
'{merge_query.replace("UNWIND $rows AS t ", "")}',
{{batchSize: {NEO4J_MERGE_BATCH_SIZE}, parallel: {str(NEO4J_MERGE_PARALLEL).lower()}, params: {{rows: $rows}}}}
)
YIELD batches, total, errorMessages
RETURN batches, total, errorMessages
"""
try:
result = target_session.run(apoc_query, rows=all_rows)
record = result.single()
if record:
batches = record["batches"]
processed = record["total"]
errors = record["errorMessages"]
if errors:
print(f" β οΈ {label}: {processed} merged with errors: {errors[:200]}")
else:
print(f" β
{label}: {processed} merged in {batches} batches")
else:
print(f" β
{label}: {len(all_rows)} merged")
except Exception as e:
print(f" β οΈ APOC failed for {label}, falling back to optimized batch: {e}")
_bulk_merge_optimized(temp_session, target_session, match_query, merge_query, label, total)
def _bulk_merge_optimized(
temp_session,
target_session,
match_query: str,
merge_query: str,
label: str,
total: int | None = None,
) -> None:
"""Optimized batching without SKIP pagination (O(n) instead of O(nΒ²))."""
from neo4j.exceptions import DatabaseUnavailable
print(f" π¦ {label}: loading all data into memory for fast merge...")
all_rows = []
retries = 0
while True:
try:
result = temp_session.run(match_query)
all_rows = [record.data() for record in result]
break
except DatabaseUnavailable:
retries += 1
if retries > NEO4J_MERGE_RETRIES:
raise
print(f" β οΈ {label}: database unavailable, retry {retries}/{NEO4J_MERGE_RETRIES}")
time.sleep(NEO4J_MERGE_RETRY_SLEEP)
total_rows = len(all_rows)
if total_rows == 0:
print(f" β
{label}: 0 (no data)")
return
print(f" π {label}: merging {total_rows} records...")
processed = 0
batches = 0
for i in range(0, total_rows, NEO4J_MERGE_BATCH_SIZE):
batch = all_rows[i:i + NEO4J_MERGE_BATCH_SIZE]
retries = 0
while True:
try:
target_session.execute_write(_run_merge_batch, merge_query, batch)
break
except DatabaseUnavailable:
retries += 1
if retries > NEO4J_MERGE_RETRIES:
raise
print(f" β οΈ {label}: database unavailable, retry {retries}/{NEO4J_MERGE_RETRIES}")
time.sleep(NEO4J_MERGE_RETRY_SLEEP)
processed += len(batch)
batches += 1
if batches % NEO4J_MERGE_LOG_EVERY == 0:
pct = (processed / total_rows) * 100
print(f" π {label}: {processed}/{total_rows} ({pct:.1f}%)")
print(f" β
{label}: {processed}/{total_rows} (100%)")
def _stream_merge(
temp_session,
target_session,
match_query: str,
merge_query: str,
label: str,
total: int | None = None,
) -> None:
"""Wrapper that uses optimized bulk merge."""
_bulk_merge_apoc(temp_session, target_session, match_query, merge_query, label, total)
def merge_neo4j_epoch_dump(epoch: int, dump_path: Path, dry_run: bool = False) -> bool:
"""
Merge relationships from an epoch dump into the target DB by keeping the oldest timestamp.
Relationship uniqueness is enforced by (start, end, type) only.
"""
import shutil
import subprocess
if not dump_path.exists():
print(f" β οΈ Neo4j dump not found: {dump_path}")
return
temp_db = "neo4j"
expected_dump_name = f"{temp_db}.dump"
load_dir = dump_path.parent
temp_load_dir = None
if dump_path.name != expected_dump_name:
temp_load_dir = dump_path.parent / f"_neo4j_load_{NEO4J_TEMP_DB_PREFIX}-{epoch}"
temp_load_dir.mkdir(parents=True, exist_ok=True)
load_dump_path = temp_load_dir / expected_dump_name
shutil.copy2(dump_path, load_dump_path)
load_dir = temp_load_dir
print(f"\nπ§© Merging Neo4j dump into '{NEO4J_TARGET_DB}' via temp instance...")
temp_root = Path(NEO4J_MERGE_TEMP_ROOT) / f"{NEO4J_TEMP_DB_PREFIX}-{epoch}"
temp_conf_dir = temp_root / "conf"
temp_data_dir = temp_root / "data"
temp_logs_dir = temp_root / "logs"
temp_run_dir = temp_root / "run"
temp_import_dir = temp_root / "import"
if dry_run:
print(f" [DRY-RUN] setup temp instance at {temp_root}")
return
driver = None
temp_driver = None
try:
if temp_root.exists():
shutil.rmtree(temp_root, ignore_errors=True)
temp_conf_dir.mkdir(parents=True, exist_ok=True)
temp_data_dir.mkdir(parents=True, exist_ok=True)
temp_logs_dir.mkdir(parents=True, exist_ok=True)
temp_run_dir.mkdir(parents=True, exist_ok=True)
temp_import_dir.mkdir(parents=True, exist_ok=True)
base_conf = Path(os.getenv("NEO4J_CONF", "/etc/neo4j/neo4j.conf"))
if not base_conf.exists():
print(f" β Neo4j config not found: {base_conf}")
return
bolt_port = _find_free_port(NEO4J_MERGE_BOLT_PORT)
http_port = _find_free_port(NEO4J_MERGE_HTTP_PORT)
overrides = {
"server.directories.data": str(temp_data_dir),
"server.directories.logs": str(temp_logs_dir),
"server.directories.run": str(temp_run_dir),
"server.directories.import": str(temp_import_dir),
"server.bolt.listen_address": f"127.0.0.1:{bolt_port}",
"server.bolt.advertised_address": f"127.0.0.1:{bolt_port}",
"server.http.listen_address": f"127.0.0.1:{http_port}",
"server.http.advertised_address": f"127.0.0.1:{http_port}",
"server.https.enabled": "false",
"dbms.security.auth_enabled": "false",
}
if NEO4J_MERGE_HEAP_INITIAL:
overrides["server.memory.heap.initial_size"] = NEO4J_MERGE_HEAP_INITIAL
if NEO4J_MERGE_HEAP_MAX:
overrides["server.memory.heap.max_size"] = NEO4J_MERGE_HEAP_MAX
if NEO4J_MERGE_PAGECACHE:
overrides["server.memory.pagecache.size"] = NEO4J_MERGE_PAGECACHE
conf_lines = []
for line in base_conf.read_text().splitlines():
stripped = line.strip()
if not stripped or stripped.startswith("#") or "=" not in stripped:
conf_lines.append(line)
continue
key, _ = stripped.split("=", 1)
if key in overrides:
continue
conf_lines.append(line)
conf_lines.append("")
conf_lines.append("# temp merge overrides")
for key, value in overrides.items():
conf_lines.append(f"{key}={value}")
conf_text = "\n".join(conf_lines) + "\n"
(temp_conf_dir / "neo4j.conf").write_text(conf_text)
if os.geteuid() == 0:
import subprocess
try:
subprocess.run(["chown", "-R", "neo4j:adm", str(temp_root)], check=True)
# Also fix main Neo4j data dir permissions (lock file may be owned by root)
subprocess.run(["chown", "-R", "neo4j:neo4j", "/var/lib/neo4j/data"], check=False)
except Exception:
pass
temp_env = {
"NEO4J_CONF": str(temp_conf_dir),
"NEO4J_HOME": os.getenv("NEO4J_HOME", "/usr/share/neo4j"),
}
load_cmd = [
"neo4j-admin", "database", "load",
f"--from-path={load_dir.resolve()}",
"--overwrite-destination",
temp_db,
]
_run_neo4j_cmd(["neo4j", "stop"], run_as="neo4j", env=temp_env)
load_result = _run_neo4j_cmd(load_cmd, run_as="neo4j", env=temp_env)
if load_result.returncode != 0:
raise subprocess.CalledProcessError(load_result.returncode, load_cmd, output=load_result.stdout, stderr=load_result.stderr)
start_result = _run_neo4j_cmd(["neo4j", "start"], run_as="neo4j", env=temp_env)
if start_result.returncode != 0:
print(f" β Failed to start temp Neo4j: {start_result.stderr.strip()}")
return
temp_bolt_uri = f"bolt://127.0.0.1:{bolt_port}"
_wait_for_bolt(temp_bolt_uri, auth=None, database="neo4j")
if not _neo4j_is_running():
start_result = _run_neo4j_cmd(["neo4j", "start"], run_as="root")
if start_result.returncode != 0:
start_result = _run_neo4j_cmd(["neo4j", "start"], run_as="neo4j")
if start_result.returncode != 0:
print(f" β Failed to start Neo4j: {start_result.stderr.strip()}")
return
_wait_for_bolt(
NEO4J_URI,
auth=(NEO4J_USER, NEO4J_PASSWORD) if NEO4J_USER and NEO4J_PASSWORD else None,
)
driver = _neo4j_driver()
from neo4j import GraphDatabase
temp_driver = GraphDatabase.driver(temp_bolt_uri, auth=None)
wallet_wallet_types = [
"BUNDLE_TRADE",
"TRANSFERRED_TO",
"COORDINATED_ACTIVITY",
"COPIED_TRADE",
]
wallet_token_types = [
"MINTED",
"SNIPED",
"LOCKED_SUPPLY",
"BURNED",
"PROVIDED_LIQUIDITY",
"TOP_TRADER_OF",
"WHALE_OF",
]
with temp_driver.session(database="neo4j") as temp_session, driver.session(database=NEO4J_TARGET_DB) as target_session:
print(" π Ensuring indexes exist on target database...")
_ensure_indexes(target_session)
def _count(query: str) -> int:
return temp_session.run(query).single().value()
wallet_count = _count("MATCH (w:Wallet) RETURN count(w)")
_stream_merge(
temp_session,
target_session,
"MATCH (w:Wallet) RETURN w.address AS address",
"UNWIND $rows AS t MERGE (w:Wallet {address: t.address})",
"wallets",
total=wallet_count,
)
token_count = _count("MATCH (t:Token) RETURN count(t)")
_stream_merge(
temp_session,
target_session,
"MATCH (t:Token) RETURN t.address AS address, "
"CASE WHEN 'created_ts' IN keys(t) THEN t.created_ts ELSE null END AS created_ts",
"UNWIND $rows AS t MERGE (k:Token {address: t.address}) "
"ON CREATE SET k.created_ts = t.created_ts "
"ON MATCH SET k.created_ts = CASE WHEN k.created_ts IS NULL OR "
"t.created_ts < k.created_ts THEN t.created_ts ELSE k.created_ts END",
"tokens",
total=token_count,
)
def process_wallet_wallet_rel(rel_type: str) -> None:
rel_total = _count(
f"MATCH (a:Wallet)-[r:{rel_type}]->(b:Wallet) "
"WHERE a.address IS NOT NULL AND b.address IS NOT NULL "
"WITH a.address AS source, b.address AS target "
"RETURN count(DISTINCT [source, target])"
)
match_query = (
f"MATCH (a:Wallet)-[r:{rel_type}]->(b:Wallet) "
"WHERE a.address IS NOT NULL AND b.address IS NOT NULL "
"WITH a.address AS source, b.address AS target, "
"min(coalesce(r.timestamp, 0)) AS timestamp "
"RETURN DISTINCT source, target, timestamp"
)
merge_query = (
"UNWIND $rows AS t "
"MERGE (a:Wallet {address: t.source}) "
"MERGE (b:Wallet {address: t.target}) "
f"MERGE (a)-[r:{rel_type}]->(b) "
"ON CREATE SET r.timestamp = t.timestamp "
"ON MATCH SET r.timestamp = CASE WHEN t.timestamp < r.timestamp THEN t.timestamp ELSE r.timestamp END"
)
_stream_merge(
temp_session,
target_session,
match_query,
merge_query,
rel_type.lower(),
total=rel_total,
)
def process_wallet_token_rel(rel_type: str) -> None:
rel_total = _count(
f"MATCH (w:Wallet)-[r:{rel_type}]->(t:Token) "
"WHERE w.address IS NOT NULL AND t.address IS NOT NULL "
"WITH w.address AS source, t.address AS target "
"RETURN count(DISTINCT [source, target])"
)
match_query = (
f"MATCH (w:Wallet)-[r:{rel_type}]->(t:Token) "
"WHERE w.address IS NOT NULL AND t.address IS NOT NULL "
"WITH w.address AS source, t.address AS target, "
"min(coalesce(r.timestamp, 0)) AS timestamp "
"RETURN DISTINCT source, target, timestamp"
)
merge_query = (
"UNWIND $rows AS t "
"MERGE (w:Wallet {address: t.source}) "
"MERGE (k:Token {address: t.target}) "
f"MERGE (w)-[r:{rel_type}]->(k) "
"ON CREATE SET r.timestamp = t.timestamp "
"ON MATCH SET r.timestamp = CASE WHEN t.timestamp < r.timestamp THEN t.timestamp ELSE r.timestamp END"
)
_stream_merge(
temp_session,
target_session,
match_query,
merge_query,
rel_type.lower(),
total=rel_total,
)
print(f"\n π Processing {len(wallet_wallet_types)} wallet-wallet relationship types...")
for rel_type in wallet_wallet_types:
process_wallet_wallet_rel(rel_type)
print(f"\n π Processing {len(wallet_token_types)} wallet-token relationship types...")
for rel_type in wallet_token_types:
process_wallet_token_rel(rel_type)
print(" β
Merge complete.")
return True
except subprocess.CalledProcessError as e:
print(f" β Failed to merge Neo4j dump: {e.stderr}")
return False
except Exception as e:
print(f" β Failed to merge Neo4j dump: {e}")
return False
finally:
if temp_driver:
temp_driver.close()
if driver:
driver.close()
if not dry_run:
temp_env = {
"NEO4J_CONF": str(temp_conf_dir),
"NEO4J_HOME": os.getenv("NEO4J_HOME", "/usr/share/neo4j"),
}
_run_neo4j_cmd(["neo4j", "stop"], run_as="neo4j", env=temp_env)
if temp_load_dir and not dry_run:
shutil.rmtree(temp_load_dir, ignore_errors=True)
if temp_root.exists() and not dry_run:
shutil.rmtree(temp_root, ignore_errors=True)
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(description="ETL: Download, Ingest, Delete epoch Parquet files.")
parser.add_argument("--epoch", type=int, required=True, help="Epoch number to process (e.g., 851)")
parser.add_argument("-c", "--skip-clickhouse", action="store_true", help="Skip ClickHouse ingestion")
parser.add_argument("-m", "--merge-neo4j", action="store_true", help="Merge Neo4j dump into existing graph")
parser.add_argument("--dry-run", action="store_true", help="Print queries without executing")
parser.add_argument("-n", "--skip-neo4j", action="store_true", help="Skip Neo4j dump loading")
parser.add_argument("--token", type=str, default=None, help="Hugging Face token (or set HF_TOKEN env var)")
return parser.parse_args()
def main() -> None:
args = parse_args()
token = args.token or os.environ.get("HF_TOKEN")
dest_dir = Path(DEFAULT_DEST_DIR).expanduser() / f"epoch_{args.epoch}"
# Connect to ClickHouse
print(f"π Connecting to ClickHouse at {CH_HOST}:{CH_HTTP_PORT}...")
try:
client = clickhouse_connect.get_client(
host=CH_HOST,
port=CH_HTTP_PORT,
username=CH_USER,
password=CH_PASSWORD,
database=CH_DATABASE,
)
except Exception as e:
print(f"β Failed to connect to ClickHouse: {e}")
sys.exit(1)
# Always ensure schemas exist (CREATE TABLE IF NOT EXISTS is idempotent)
if not args.skip_clickhouse:
print("π Ensuring ClickHouse schemas exist...")
for schema_file in ["./onchain.sql", "./offchain.sql"]:
schema_path = Path(schema_file).expanduser()
if schema_path.exists():
init_clickhouse_schema(schema_path, dry_run=args.dry_run)
run_etl(
epoch=args.epoch,
dest_dir=dest_dir,
client=client,
dry_run=args.dry_run,
token=token,
skip_neo4j=args.skip_neo4j,
skip_clickhouse=args.skip_clickhouse,
merge_neo4j=args.merge_neo4j,
)
if __name__ == "__main__":
main()
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