merge: chore/cleanup-remove-bloat-and-secrets into main

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Crypto Rug Munch 2026-07-02 01:24:22 +07:00
commit bde2f3a97d
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#!/usr/bin/env python3
"""
Resilient Redis Supabase pgvector migration v2.
Fixes: smaller batches, retry on timeout, HNSW index dropped for speed.
"""
import asyncio
import json
import logging
import os
import time
import httpx
import redis.asyncio as aioredis
from dotenv import load_dotenv
load_dotenv("/app/.env", override=True)
logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
logger = logging.getLogger(__name__)
TARGET_DIM = 640
BATCH_SIZE = 50 # Smaller batches to avoid Supabase statement timeout
MAX_RETRIES = 3
COLLECTIONS = [
"wallet_profiles", # ~50K already migrated
"token_analysis",
"known_scams",
"scam_patterns",
"forensic_reports",
"market_intel",
"contract_audits",
"news_articles",
"transaction_patterns",
"general",
]
def _get_url():
return os.environ.get("SUPABASE_URL", "")
def _get_key():
return os.environ.get("SUPABASE_SERVICE_KEY", "") or os.environ.get("SUPABASE_SERVICE_ROLE_KEY", "")
def _get_headers():
key = _get_key()
return {
"apikey": key,
"Authorization": f"Bearer {key}",
"Content-Type": "application/json",
"Prefer": "resolution=merge-duplicates",
}
def pad_vector(vec: list, target_dim: int) -> list:
if len(vec) == target_dim:
return vec
if len(vec) > target_dim:
return vec[:target_dim]
return vec + [0.0] * (target_dim - len(vec))
async def get_existing_ids(client: httpx.AsyncClient) -> set:
"""Fetch existing doc IDs from rag_vectors for idempotency."""
existing = set()
offset = 0
limit = 1000
while True:
url = f"{_get_url()}/rest/v1/rag_vectors"
params = {"select": "id", "limit": str(limit), "offset": str(offset), "order": "id"}
try:
resp = await client.get(url, params=params, headers=_get_headers(), timeout=30)
if resp.status_code != 200:
logger.warning(f"Could not fetch existing IDs: {resp.status_code}")
break
rows = resp.json() if resp.text else []
if not rows:
break
for row in rows:
existing.add(row["id"])
if len(rows) < limit:
break
offset += limit
except Exception as e:
logger.warning(f"Error fetching existing IDs: {e}")
break
logger.info(f"Found {len(existing)} existing docs in rag_vectors")
return existing
async def insert_with_retry(client: httpx.AsyncClient, rows: list, batch_num: int) -> int:
"""Insert a batch with retry logic."""
url = f"{_get_url()}/rest/v1/rag_vectors"
params = {"on_conflict": "id"}
for attempt in range(MAX_RETRIES):
try:
resp = await client.post(url, json=rows, params=params, headers=_get_headers(), timeout=60)
if resp.status_code in (200, 201):
return len(rows)
elif resp.status_code == 500 and "timeout" in (resp.text or "").lower():
# Statement timeout — split into smaller batches
logger.warning(f"Batch {batch_num}: statement timeout (attempt {attempt + 1}), splitting")
if len(rows) > 10:
# Split into two halves
mid = len(rows) // 2
count = 0
for half in [rows[:mid], rows[mid:]]:
r2 = await client.post(url, json=half, params=params, headers=_get_headers(), timeout=90)
if r2.status_code in (200, 201):
count += len(half)
else:
# Last resort: insert one by one
for row in half:
try:
r3 = await client.post(
url,
json=[row],
params=params,
headers=_get_headers(),
timeout=30,
)
if r3.status_code in (200, 201):
count += 1
await asyncio.sleep(0.02)
except Exception:
pass
return count
else:
logger.error(f"Batch {batch_num} insert failed: {resp.status_code} {resp.text[:300]}")
return 0
except httpx.ReadTimeout:
logger.warning(f"Batch {batch_num}: timeout (attempt {attempt + 1})")
await asyncio.sleep(2**attempt)
except Exception as e:
logger.error(f"Batch {batch_num} exception: {e}")
await asyncio.sleep(1)
return 0
async def migrate_collection(r: aioredis.Redis, client: httpx.AsyncClient, collection: str, existing_ids: set) -> int:
"""Migrate all docs from one Redis collection to Supabase."""
idx_key = f"rag:idx:{collection}"
doc_ids = await r.smembers(idx_key)
if not doc_ids:
logger.info(f"Collection {collection}: empty, skipping")
return 0
total_docs = len(doc_ids)
to_migrate = [did for did in doc_ids if did not in existing_ids]
skipped = total_docs - len(to_migrate)
if skipped > 0:
logger.info(
f"Collection {collection}: {total_docs} total, skipping {skipped} already-migrated, {len(to_migrate)} to go"
)
migrated = 0
errors = 0
batch_rows = []
batch_count = 0
for _i, doc_id in enumerate(to_migrate):
doc_key = f"rag:{collection}:{doc_id}"
try:
data = await r.get(doc_key)
if not data:
continue
doc = json.loads(data)
vector = doc.get("vector", [])
content = doc.get("content", "") or ""
metadata = doc.get("metadata", {}) or {}
source = metadata.get("source", "") or doc.get("source", "") or ""
severity = metadata.get("severity", "") or doc.get("severity", "") or "medium"
chain = metadata.get("chain", "") or doc.get("chain", "") or ""
padded = pad_vector(vector, TARGET_DIM) if vector else [0.0] * TARGET_DIM
row = {
"id": str(doc_id),
"collection": collection,
"content": content[:10000],
"embedding": padded,
"metadata": json.dumps(metadata) if isinstance(metadata, dict) else str(metadata),
"source": source[:200] if source else "",
"severity": severity[:50] if severity else "medium",
"chain": chain[:50] if chain else "",
}
batch_rows.append(row)
if len(batch_rows) >= BATCH_SIZE:
count = await insert_with_retry(client, batch_rows, batch_count)
migrated += count
batch_count += 1
if batch_count % 10 == 0:
logger.info(f" Progress: {migrated}/{len(to_migrate)} migrated ({batch_count} batches)")
batch_rows = []
await asyncio.sleep(0.1)
except json.JSONDecodeError:
errors += 1
except Exception as e:
errors += 1
if errors <= 5:
logger.warning(f" Doc {doc_id}: {e}")
# Flush remaining
if batch_rows:
count = await insert_with_retry(client, batch_rows, batch_count)
migrated += count
logger.info(f"Collection {collection}: DONE {migrated}/{len(to_migrate)} ({errors} errors)")
return migrated
async def main():
logger.info(f"Starting migration v2 (batch_size={BATCH_SIZE})")
logger.info(f"Supabase: {_get_url()[:30]}...")
logger.info(f"Target dim: {TARGET_DIM}")
r = aioredis.Redis(
host=os.environ.get("REDIS_HOST", "rmi-redis"),
port=int(os.environ.get("REDIS_PORT", "6379")),
password=os.environ.get("REDIS_PASSWORD", ""),
decode_responses=True,
)
await r.ping()
logger.info("Redis connected")
async with httpx.AsyncClient(timeout=120) as client:
existing_ids = await get_existing_ids(client)
total = 0
start = time.time()
for coll in COLLECTIONS:
try:
n = await migrate_collection(r, client, coll, existing_ids)
total += n
except Exception as e:
logger.error(f"Collection {coll} FAILED: {e}")
elapsed = time.time() - start
logger.info("=" * 60)
logger.info(f"Migration v2 complete: {total} docs in {elapsed:.1f}s")
logger.info(
"Now rebuild HNSW index: CREATE INDEX idx_rag_vectors_hnsw ON rag_vectors USING hnsw (embedding vector_cosine_ops) WITH (m = 16, ef_construction = 64);"
)
await r.aclose()
if __name__ == "__main__":
asyncio.run(main())