perf(db): add indexes on query-hot columns and Redis caching layer

- Add database indexes on FileRecord.created_at, FileRecord.mime_type,
  ProcessingLog.file_id, ProcessingLog.timestamp, and
  FileProcessingStep.status for faster filtering, sorting, and joins.
- Add _ensure_indexes() migration for existing databases.
- Create app/utils/cache.py with fail-open Redis GET/SET/DELETE helpers.
- Cache MIME types dropdown query in files view (120s TTL).
- Optimize batch status query to load only needed columns.

Co-authored-by: christianlouis <361235+christianlouis@users.noreply.github.com>
This commit is contained in:
copilot-swe-agent[bot]
2026-03-01 14:38:28 +00:00
parent a4fafe5c56
commit b79ba81e05
7 changed files with 467 additions and 10 deletions
+122
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@@ -0,0 +1,122 @@
"""
Lightweight Redis caching layer for frequently accessed data.
Provides a thin wrapper around Redis GET/SET with JSON serialisation and
configurable TTLs. All operations are **fail-open**: if Redis is
unavailable the caller simply gets a cache miss and falls back to the
database or other source of truth.
Usage::
from app.utils.cache import cache_get, cache_set, cache_delete
# Try cache first
value = cache_get("my_key")
if value is None:
value = expensive_query()
cache_set("my_key", value, ttl=300)
"""
import json
import logging
from typing import Any
import redis
logger = logging.getLogger(__name__)
#: Prefix applied to all cache keys to avoid collisions with other Redis users.
_KEY_PREFIX = "docuelevate:cache:"
#: Module-level Redis client lazily initialised on first use.
_redis_client: redis.Redis | None = None
def _get_redis() -> redis.Redis | None:
"""Return a shared Redis client, or *None* if Redis is unreachable."""
global _redis_client
if _redis_client is not None:
return _redis_client
try:
from app.config import settings
_redis_client = redis.from_url(settings.redis_url, socket_connect_timeout=2, decode_responses=True)
# Quick connectivity check
_redis_client.ping()
return _redis_client
except Exception as exc:
logger.debug(f"Redis cache unavailable: {exc}")
_redis_client = None
return None
def cache_get(key: str) -> Any | None:
"""
Retrieve a cached value by *key*.
Returns the deserialised Python object, or ``None`` on cache miss or
Redis error.
"""
client = _get_redis()
if client is None:
return None
try:
raw = client.get(f"{_KEY_PREFIX}{key}")
if raw is None:
return None
return json.loads(raw)
except Exception as exc:
logger.debug(f"Cache get failed for {key}: {exc}")
return None
def cache_set(key: str, value: Any, ttl: int = 300) -> None:
"""
Store *value* under *key* with a time-to-live of *ttl* seconds.
Silently ignores errors so callers are never blocked by cache issues.
"""
client = _get_redis()
if client is None:
return
try:
client.setex(f"{_KEY_PREFIX}{key}", ttl, json.dumps(value))
except Exception as exc:
logger.debug(f"Cache set failed for {key}: {exc}")
def cache_delete(key: str) -> None:
"""
Remove *key* from the cache.
Silently ignores errors.
"""
client = _get_redis()
if client is None:
return
try:
client.delete(f"{_KEY_PREFIX}{key}")
except Exception as exc:
logger.debug(f"Cache delete failed for {key}: {exc}")
def cache_delete_pattern(pattern: str) -> None:
"""
Remove all keys matching *pattern* (glob-style) from the cache.
Silently ignores errors.
"""
client = _get_redis()
if client is None:
return
try:
full_pattern = f"{_KEY_PREFIX}{pattern}"
cursor = 0
while True:
cursor, keys = client.scan(cursor, match=full_pattern, count=100)
if keys:
client.delete(*keys)
if cursor == 0:
break
except Exception as exc:
logger.debug(f"Cache delete pattern failed for {pattern}: {exc}")
+8 -2
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@@ -106,9 +106,15 @@ def get_files_processing_status(db: Session, file_ids: List[int]) -> Dict[int, D
if settings.enable_deduplication:
REAL_STEPS.add("check_for_duplicates")
# Get all REAL steps for these files in one query
# Get all REAL steps for these files in one query (load only needed columns)
steps = (
db.query(FileProcessingStep)
db.query(
FileProcessingStep.file_id,
FileProcessingStep.step_name,
FileProcessingStep.status,
FileProcessingStep.updated_at,
FileProcessingStep.created_at,
)
.filter(FileProcessingStep.file_id.in_(file_ids), FileProcessingStep.step_name.in_(REAL_STEPS))
.all()
)