7 Commits

Author SHA1 Message Date
Scott Idem
e71906b59a Saving stress testing 2026-04-19 13:57:31 -04:00
Scott Idem
3d89e95c24 fix(P2): add OperationalError retry to sql_insert, sql_select, sql_insert_or_update
All three were missing the transient-connection retry that sql_update and
run_sql_select already had. On OperationalError (stale/dropped connection),
each now retries once with a fresh engine.connect() without disposing the pool.

IntegrityError (duplicate key, FK violation, NOT NULL) continues to return
None without retrying — the same data would fail again and None signals a
data conflict to callers, distinct from False (error) or an int (success).

sql_insert_or_update retry is safe because ON DUPLICATE KEY UPDATE is idempotent.
sql_insert retry is safe because OperationalError means MariaDB rolled back.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-17 19:41:26 -04:00
Scott Idem
3db5f7c749 fix(P3): guard startup db connection with try/except in lib_sql_core
Wraps the deprecated global `db = engine.connect()` in a try/except so
a Docker startup race (MariaDB not yet ready) no longer crashes the
Gunicorn worker before it can serve any requests.

Sets db=None on failure; reconnect_db() on the lifespan bootstrap path
re-establishes it once credentials are confirmed.

TODO (P3 full): migrate lib_schema_v3.py:39 and lib_api_crud_v3.py:166
off the global db to engine.connect() context managers, then remove it.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-17 19:28:28 -04:00
Scott Idem
55debc8009 feat: add stress_list_queries tool and document in tests/README
Concurrent read-only stress test against V3 list endpoints.
Improvements over initial version: --base-url, --limit CLI flags,
interpolated percentile calculation (accurate on small sample sizes),
and pre-sorted times passed to overall summary.
README: added tools table with quick-reference usage examples.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-17 18:12:01 -04:00
Scott Idem
ace00929f2 feat: expose DB pool_size and max_overflow as env vars (P4)
Added AE_DB_POOL_SIZE and AE_DB_POOL_MAX_OVERFLOW to config.py with
defaults matching prior hardcoded values (10/20). Wired into settings.DB
property so create_ae_engine() reads them without fallback.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-17 18:08:01 -04:00
Scott Idem
c7444a8a89 fix: remove pool-nuking reconnect_db() from OperationalError retry paths
On OperationalError, sql_update and run_sql_select were calling
sql_connect() → reconnect_db() which disposes the entire connection
pool mid-flight, killing other in-flight connections under concurrency.

Removed the sql_connect() calls; the existing retry blocks already open
a fresh engine.connect() context manager, and pool_pre_ping=True handles
stale connection detection. Also drops the now-unused sql_connect import.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-17 17:24:47 -04:00
Scott Idem
8f1fe5d4df Fixing this:
#3 (zombie import) is genuinely a 2-line fix — remove the import from api.py:10 and move db_connection.py to trash. Zero functional change since db is only in a commented-out line.
2026-04-16 20:09:12 -04:00
7 changed files with 252 additions and 14 deletions

View File

@@ -25,8 +25,10 @@ class Settings(BaseSettings):
DB_PASS: str = Field('', env='AE_DB_PASSWORD')
# Connection tuning
DB_CONNECT_TIMEOUT: int = Field(20, env='AE_DB_CONNECTION_TIMEOUT')
DB_POOL_RECYCLE: int = Field(1800, env='AE_DB_POOL_RECYCLE')
DB_CONNECT_TIMEOUT: int = Field(20, env='AE_DB_CONNECTION_TIMEOUT')
DB_POOL_RECYCLE: int = Field(1800, env='AE_DB_POOL_RECYCLE')
DB_POOL_SIZE: int = Field(10, env='AE_DB_POOL_SIZE')
DB_POOL_MAX_OVERFLOW: int = Field(20, env='AE_DB_POOL_MAX_OVERFLOW')
# --- Logging ---
LOG_PATH_APP: str = Field('/logs/aether_api.log', env='AE_API_LOG_PATH')
@@ -73,8 +75,10 @@ class Settings(BaseSettings):
'name': self.DB_NAME,
'username': self.DB_USER,
'password': self.DB_PASS,
'connect_timeout': self.DB_CONNECT_TIMEOUT,
'pool_recycle': self.DB_POOL_RECYCLE,
'connect_timeout': self.DB_CONNECT_TIMEOUT,
'pool_recycle': self.DB_POOL_RECYCLE,
'pool_size': self.DB_POOL_SIZE,
'max_overflow': self.DB_POOL_MAX_OVERFLOW,
}
@property

View File

@@ -43,9 +43,15 @@ def create_ae_engine(uri: str):
engine = create_ae_engine(db_uri)
# DEPRECATED: Global shared 'db' connection. Use engine.connect() in context managers instead.
# Keeping for legacy compatibility but will phase out usage in crud lib.
db = engine.connect()
# DEPRECATED: Global shared 'db' connection. Still used by lib_schema_v3.py and lib_api_crud_v3.py.
# TODO (P3 full fix): migrate those two call sites to engine.connect() context managers, then remove this.
# Bare connect guarded so a Docker startup race (MariaDB not yet ready) doesn't crash the worker.
# If this fails, db=None — callers that hit it before reconnect_db() runs will raise AttributeError.
try:
db = engine.connect()
except Exception:
log.warning("DB SQL Core: Initial db connection failed at startup (MariaDB not ready?). Will retry via reconnect_db().")
db = None
log.info('DB SQL Core: Initializing engine...')

View File

@@ -11,7 +11,7 @@ from sqlalchemy.exc import IntegrityError, OperationalError, ProgrammingError
from app.log import log, logger_reset
# CRITICAL: Import the core module to access current global state
from app import lib_sql_core
from app.lib_sql_core import sql_connect, set_last_sql_error
from app.lib_sql_core import set_last_sql_error
# log.setLevel(logging.DEBUG) # DEBUG, INFO, WARNING, ERROR, EXCEPTION, CRITICAL
@@ -63,11 +63,29 @@ def sql_insert(
return result_insert.lastrowid
return False
except IntegrityError as e:
# Data constraint violation (duplicate key, FK mismatch, NOT NULL) — do NOT retry;
# the same data would fail again. Return None so callers can distinguish from errors.
if trans: trans.rollback()
log.error('Integrity error (likely duplicate). Returning None')
log.debug(e)
set_last_sql_error(e)
return None
except OperationalError:
# Transient connection failure. The broken connection rolls back on MariaDB's side,
# so retrying with a fresh connection is safe.
if trans: trans.rollback()
log.warning('Operational error in sql_insert. Retrying once with fresh connection...')
try:
with lib_sql_core.engine.connect() as conn:
trans = conn.begin()
result_insert = conn.execute(sql_insert_stmt, data)
trans.commit()
if result_insert.rowcount == 1 and result_insert.lastrowid > 0:
return result_insert.lastrowid
return False
except Exception as e:
set_last_sql_error(e)
return False
except Exception as e:
if trans: trans.rollback()
log.error('Unknown exception in sql_insert. Returning False')
@@ -138,7 +156,6 @@ def sql_update(
except OperationalError:
if trans: trans.rollback()
log.error('Operational error (gone away?). Retrying once...')
sql_connect()
try:
with lib_sql_core.engine.connect() as conn:
trans = conn.begin()
@@ -199,6 +216,19 @@ def sql_insert_or_update(
res = conn.execute(stmt, data)
trans.commit()
return res.lastrowid if res.lastrowid > 0 else True
except OperationalError:
# ON DUPLICATE KEY UPDATE is idempotent — safe to retry.
if trans: trans.rollback()
log.warning('Operational error in sql_insert_or_update. Retrying once...')
try:
with lib_sql_core.engine.connect() as conn:
trans = conn.begin()
res = conn.execute(stmt, data)
trans.commit()
return res.lastrowid if res.lastrowid > 0 else True
except Exception as e:
set_last_sql_error(e)
return False
except Exception as e:
if trans: trans.rollback()
log.exception(e)
@@ -309,6 +339,21 @@ def sql_select(
return [] if as_list else None
rows = result.all()
except OperationalError:
# Transient connection failure — reads are always safe to retry.
log.error('Operational error in sql_select. Retrying once with fresh connection...')
try:
with lib_sql_core.engine.connect() as conn:
result = conn.execute(stmt, data)
if not result:
return [] if as_list else None
if hasattr(result, 'returns_rows') and not result.returns_rows:
return [] if as_list else None
rows = result.all()
except Exception as e:
log.error(f"SQL Fetch Error on retry: {e}")
set_last_sql_error(e)
return False
except Exception as e:
log.error(f"SQL Fetch Error: {e}")
set_last_sql_error(e)
@@ -343,7 +388,6 @@ def run_sql_select(
return conn.execute(sql, data)
except (OperationalError, ProgrammingError) as e:
log.error(f'DB Error: {e}. Retrying once...')
sql_connect()
try:
with lib_sql_core.engine.connect() as conn:
return conn.execute(sql, data)

View File

@@ -4,15 +4,15 @@ from typing import Dict, List, Optional, Set, Union
from sqlalchemy import text
import json
import time
import secrets
# import secrets
import jwt as pyjwt # Avoid conflict with app.lib_jwt
from app.db_connection import db
# from app.db_connection import db
from app.lib_general import sign_jwt, decode_jwt, log, logging
from app.config import settings
from app.db_sql import sql_insert, sql_update, sql_select, redis_lookup_id_random, get_id_random
from app.routers.api_crud import delete_obj_template, get_obj_template, get_obj_li_template, patch_obj_template, post_obj_template
# from app.routers.api_crud import delete_obj_template, get_obj_template, get_obj_li_template, patch_obj_template, post_obj_template
from app.routers.dependencies_v3 import DeprecationParams
from app.models.api_models import Api_Base
from app.models.response_models import Resp_Body_Base, mk_resp

View File

@@ -12,6 +12,16 @@
- [x] **Config Refactor:** Switch `app/config.py` to `pydantic-settings` to use direct Env Vars (Stop mounting config files).
- [x] **Locking:** Generate a `requirements.lock` for bit-identical builds.
## 🔌 DB Connection Hardening (April 2026 Audit)
> Identified during pre-show review. Issues 1 and 2 likely explain observed random connection lags.
- [x] **[P1] Remove zombie `db_connection.py` import** — `app/routers/api.py` imports `db` from `app/db_connection.py`, creating a parasitic second SQLAlchemy engine at startup that is never updated by `reconnect_db()` after bootstrap. The imported `db` is only used in a commented-out line (`api.py:268`). Fix: remove the import; delete or archive `db_connection.py`.
- [x] **[P1] Fix retry mechanism in `sql_update` / `run_sql_select`** — On `OperationalError`, both call `sql_connect()``reconnect_db()` which calls `engine.dispose()`, nuking the entire connection pool mid-flight. Under concurrent requests this kills other in-flight connections. Fix: remove the `sql_connect()` retry call; SQLAlchemy's `pool_pre_ping=True` already handles stale connections — just open a fresh `engine.connect()` for the retry without disposing the pool.
- [x] **[P2] Add retry logic to `sql_insert` and `sql_select`** — Added `OperationalError` retry (single fresh connection attempt) to `sql_insert`, `sql_select`, and `sql_insert_or_update`. `IntegrityError` (duplicate key, FK violation) correctly bypasses retry and returns `None` — retrying the same data would fail again.
- [x] **[P3] Guard `db = engine.connect()` in `lib_sql_core.py` with try/except** — Wrapped in try/except; sets `db = None` on failure so Docker startup race no longer crashes the worker.
- [ ] **[P3 full]** Migrate `lib_schema_v3.py:39` and `lib_api_crud_v3.py:166` off the global `db` to `engine.connect()` context managers, then remove the global `db` entirely.
- [x] **[P4] Expose `pool_size` / `max_overflow` as env vars** — `create_ae_engine()` calls `settings.DB.get('pool_size', 10)` but `settings.DB` property doesn't include those keys, so they're always hardcoded 10/20. Add `AE_DB_POOL_SIZE` / `AE_DB_POOL_MAX_OVERFLOW` to `config.py`.
## 📋 Feature Tasks
- [x] **Core Isolation:** Harden `apply_forced_account_filter` to Fail-Closed.
- [x] **IDAA Baseline:** Remove `public_read` from Event, CMS, and Archive objects.

View File

@@ -7,7 +7,7 @@ This directory contains the automated and manual test scripts for the Aether Fas
- **`unit/`**: Isolated logic tests. These use heavy mocking to bypass database and network requirements. Fast and safe to run in any environment.
- **`integration/`**: Local environment tests. These verify component interactions, often requiring a connection to the local MariaDB/Redis instance.
- **`e2e/` (End-to-End)**: Network-based API tests. these use the `requests` library to call the live API endpoints at `https://dev-api.oneskyit.com`.
- **`tools/`**: Utility scripts for administrative tasks like registry generation or Docker exploration.
- **`tools/`**: Utility scripts for administrative tasks like registry generation, Docker exploration, and performance stress testing.
- **`archive/`**: Legacy or deprecated scripts kept for historical reference.
## 📜 Standardized E2E Suite (`tests/e2e/`)
@@ -38,6 +38,28 @@ These consolidated scripts are the primary verification tool for the V3 API.
---
## 🔧 Tools (`tests/tools/`)
| Script | Description |
| :--- | :--- |
| `stress_list_queries.py` | **Read-only concurrency stress test.** Fires N worker threads making R sequential requests across all V3 list endpoints. Reports per-endpoint p50/p95/max latency and error counts. CLI: `--workers` (default 10), `--requests` (default 5), `--limit` (default 20), `--base-url` (default dev API). Exit code 1 on any error. |
| `tool_generate_registry.py` | Generates the object type registry from source definitions. |
| `tool_mcp_docker_explorer.py` | Explores running Docker containers via the MCP bridge. |
**Stress test quick reference:**
```bash
# Baseline (10 workers, 5 rounds, 400 total requests)
./environment/bin/python3 tests/tools/stress_list_queries.py
# Heavy load (35 workers, 5 rounds, 1400 total requests)
./environment/bin/python3 tests/tools/stress_list_queries.py --workers 35 --requests 5
# Target a different environment
./environment/bin/python3 tests/tools/stress_list_queries.py --base-url https://api.oneskyit.com --workers 5
```
---
## 🛠️ Shared Helpers
- **`mock_config_helper.py`**: A critical utility that mocks `app.config.settings` before other modules are imported. Use this in unit tests.

View File

@@ -0,0 +1,152 @@
"""
Read-only concurrent stress test against V3 list endpoints.
Fires N workers each making R sequential requests across a set of
list endpoints, then prints per-endpoint latency stats and an
overall error summary.
Usage (from project root):
./environment/bin/python3 tests/tools/stress_list_queries.py
./environment/bin/python3 tests/tools/stress_list_queries.py --workers 20 --requests 10
./environment/bin/python3 tests/tools/stress_list_queries.py --base-url https://api.oneskyit.com --workers 5
"""
import argparse
import math
import statistics
import sys
import time
from concurrent.futures import ThreadPoolExecutor, as_completed
import requests
DEFAULT_BASE_URL = "https://test-api.oneskyit.com"
API_KEY = "nT0jPeiCfxSifkiDZur9jA"
ACCOUNT_ID = "_XY7DXtc9MY" # One Sky IT Demo
HEADERS = {
"x-aether-api-key": API_KEY,
"x-account-id": ACCOUNT_ID,
}
# Read-only list endpoints to hammer. Each is a (label, path) tuple.
ENDPOINTS = [
("event list", "/v3/crud/event/"),
("event_session list", "/v3/crud/event_session/"),
("event_badge list", "/v3/crud/event_badge/"),
("event_file list", "/v3/crud/event_file/"),
("person list", "/v3/crud/person/"),
("journal list", "/v3/crud/journal/"),
("hosted_file list", "/v3/crud/hosted_file/"),
("data_store list", "/v3/crud/data_store/"),
]
def percentile(sorted_times: list[float], pct: float) -> float:
"""Return the pct-th percentile of a pre-sorted list (0100)."""
if not sorted_times:
return 0.0
k = (len(sorted_times) - 1) * pct / 100
lo, hi = int(math.floor(k)), int(math.ceil(k))
return sorted_times[lo] + (sorted_times[hi] - sorted_times[lo]) * (k - lo)
def do_request(label: str, url: str, session: requests.Session) -> dict:
t0 = time.perf_counter()
try:
r = session.get(url, headers=HEADERS, timeout=15)
elapsed = (time.perf_counter() - t0) * 1000
return {"label": label, "status": r.status_code, "ms": elapsed, "error": None}
except Exception as e:
elapsed = (time.perf_counter() - t0) * 1000
return {"label": label, "status": 0, "ms": elapsed, "error": str(e)}
def worker(worker_id: int, requests_per_worker: int, base_url: str, limit: int) -> list[dict]:
results = []
with requests.Session() as session:
for _ in range(requests_per_worker):
for label, path in ENDPOINTS:
url = f"{base_url}{path}?limit={limit}"
results.append(do_request(label, url, session))
return results
def print_result(label, success, message=""):
icon = "" if success else ""
suffix = f"{message}" if message else ""
print(f" [{icon}] {label}{suffix}")
def main():
parser = argparse.ArgumentParser(description="Concurrent read-only stress test")
parser.add_argument("--workers", type=int, default=10, help="Concurrent worker threads (default: 10)")
parser.add_argument("--requests", type=int, default=5, help="Requests per worker per endpoint (default: 5)")
parser.add_argument("--limit", type=int, default=20, help="?limit= param on each list request (default: 20)")
parser.add_argument("--base-url", type=str, default=DEFAULT_BASE_URL, help=f"API base URL (default: {DEFAULT_BASE_URL})")
args = parser.parse_args()
total_requests = args.workers * args.requests * len(ENDPOINTS)
print(f"\n🔥 Stress Test: {args.workers} workers × {args.requests} rounds × {len(ENDPOINTS)} endpoints = {total_requests} total requests")
print(f" Target: {args.base_url} limit={args.limit}\n")
all_results: list[dict] = []
suite_start = time.perf_counter()
with ThreadPoolExecutor(max_workers=args.workers) as pool:
futures = [pool.submit(worker, wid, args.requests, args.base_url, args.limit) for wid in range(args.workers)]
for f in as_completed(futures):
all_results.extend(f.result())
suite_elapsed = time.perf_counter() - suite_start
# --- Per-endpoint stats ---
print("" * 60)
print(f"{'Endpoint':<35} {'OK':>5} {'ERR':>5} {'p50ms':>7} {'p95ms':>7} {'maxms':>7}")
print("" * 60)
by_label: dict[str, list[dict]] = {}
for r in all_results:
by_label.setdefault(r["label"], []).append(r)
any_fail = False
for label, _ in ENDPOINTS:
rows = by_label.get(label, [])
ok = [r for r in rows if r["status"] in (200, 201, 404) and not r["error"]]
err = [r for r in rows if r not in ok]
times = sorted(r["ms"] for r in ok)
p50 = statistics.median(times) if times else 0
p95 = percentile(times, 95)
mx = max(times) if times else 0
flag = "" if not err else ""
if err:
any_fail = True
print(f" {label:<33} {len(ok):>5} {len(err):>5} {p50:>7.0f} {p95:>7.0f} {mx:>7.0f}{flag}")
print("" * 60)
# --- Error detail ---
errors = [r for r in all_results if r["error"] or r["status"] not in (200, 201, 404)]
if errors:
print(f"\n{len(errors)} errors encountered:")
seen = set()
for r in errors:
key = (r["label"], r["status"], r["error"])
if key not in seen:
seen.add(key)
print(f" [{r['status']}] {r['label']}: {r['error'] or 'non-2xx/404'}")
else:
print("\n✅ Zero errors.")
# --- Overall summary ---
all_times = sorted(r["ms"] for r in all_results if not r["error"])
rps = total_requests / suite_elapsed
print(f"\n🏁 {total_requests} requests in {suite_elapsed:.2f}s ({rps:.1f} req/s)")
if all_times:
print(f" p50={statistics.median(all_times):.0f}ms "
f"p95={percentile(all_times, 95):.0f}ms "
f"max={max(all_times):.0f}ms\n")
sys.exit(1 if any_fail else 0)
if __name__ == "__main__":
main()