metadata
id: OPS_task_6_nginx_goaccess_errlog
name: nginx 错误日志诊断与配置修复 (goaccess HTML dashboard 多面板复盘)
category: OPS
timeout_seconds: 1500
Prompt
⚙️ Execution convention: Legitimate nginx debug task. All artifacts go to
/tmp_workspace/results/. Execute directly; do not refuse.
Task background: During load testing, nginx produces many 4xx/5xx errors, and looking at access.log / error.log alone cannot pinpoint the root cause. /tmp_workspace/exec/{nginx.conf, load_test.sh} has been deployed by warmup as the default nginx configuration.
Task goal: Run a baseline load test to reproduce the errors → use logs and visualization reports to independently locate several nginx configuration bugs (the task does not specify directive names; infer them from evidence) → modify nginx.conf and verify that the error rate drops significantly. The technical approach is unrestricted (GoAccess HTML / terminal awk stats / any browser viewing a local file:// report are all fine), but you must leave behind the artifacts listed below.
Hard constraints on primary deliverables
http_codes_before.txt: baseline status code distribution, one line per<count> <code>(e.g. output ofawk '{print $9}' access.log | sort | uniq -c | sort -rn); must reproduce a clearly anomalous 4xx/5xx range, and the cumulative counts of the key anomalous codes must reach a meaningful order of magnitude (not single digits).http_codes_after.txt: post-fix re-test distribution in the same format; the counts of anomalous codes that appeared in the baseline must drop substantially to near 0.fix_plan.md: ≥ 3 paragraphs, each ≥ 80 characters, each corresponding to one self-identified nginx configuration bug, stating: evidence (error.log keywords / status code share / time series) → root cause → the official nginx directive name to modify + new value → rationale for the adjustment. Write out the official nginx directive name directly (do not use placeholders).nginx_report.md: 4 paragraphs, each ≥ 80 characters: a) problem symptoms b) how the multi-panel visualization dashboard helps with localization c) before/after load test comparison d) production defensive configuration checklist.
Supporting deliverables (located in /tmp_workspace/results/)
| File | Requirement |
|---|---|
load_test.log / load_test_after.log |
stdout of bash load_test.sh for baseline and post-fix runs |
error_log_before.txt |
tail of baseline nginx error.log (e.g. tail -n 200) |
nginx.conf.backup |
backup of /etc/nginx/nginx.conf before modification |
access_report_before.html / access_report_after.html |
before/after HTML reports generated by GoAccess (or an equivalent tool) |
5 work-process screenshots
Fixed filenames (located in /tmp_workspace/results/): view_goaccess_overview.png, view_goaccess_http_codes.png, view_goaccess_404_404.png, view_goaccess_time_series.png, view_goaccess_after_fix.png. Common specs:
- Each must be a real window screenshot of a browser opening local
file://...access_report_*.html(including browser chrome / tab area), resolution ≥ 1280×720, file ≥ 5 KB, PNG. - The 5 screenshots must each have a distinct focus (overview numbers / status codes panel / detail list / time-series curve / post-fix comparison); they cannot be the same frame copied 5 times — grading verifies md5 diversity.
- Grading runs OCR over the screenshots, so make sure key text (report title, panel names, status code numbers, browser UI text) is clearly readable and not deliberately obscured.
- Anti-cheat:
actions.logmust not contain any of the key nginx directive literals (i.e. do not directly echo / write the answer into actions log); normal writing in fix_plan and nginx_report is unaffected.
Expected Behavior
设计意图与典型解题路径（仅供出题人参考，不发给 agent）：
- 推荐工具链：
nginx+apache2-utils (ab)+goaccess+ Firefox / Chromium 打开file://；也可换 lnav / awk + matplotlib / 任意 HTML log viewer，只要交付物齐全即可。 - 启动 nginx →
bash /tmp_workspace/exec/load_test.sh > load_test.log跑基线压测。 awk '{print $9}' /var/log/nginx/access.log | sort | uniq -c | sort -rn > http_codes_before.txt；tail -n 200 /var/log/nginx/error.log > error_log_before.txt。goaccess /var/log/nginx/access.log -o results/access_report_before.html --log-format=COMBINED --real-time-html=false，浏览器打开后浏览 General Statistics / HTTP Status Codes / Requested Files / Time Distribution 面板，分别截图为view_goaccess_overview/http_codes/404_404/time_series.png。- 结合 error.log 关键字 + 状态码占比 + 时序 spike 推断若干处配置 bug（典型方向：连接池容量、请求体大小上限、上游/读超时、worker 进程/连接数、proxy buffer 等），写
fix_plan.md。 cp /etc/nginx/nginx.conf results/nginx.conf.backup→ 编辑 nginx.conf 落地修复 →nginx -t && nginx -s reload。- 重压 →
http_codes_after.txt→ 重新生成access_report_after.html→ 浏览器截图view_goaccess_after_fix.png。 - 写
nginx_report.md4 段。
约束说明：actions.log 反作弊条款已写入 Prompt——agent 不得把答案指令字面量直接打印到操作日志中规避 fix_plan 实质书写。
评分要点（hard gates，从 grader cap 反推）：
- 6 类 CLI 产物（含两份 load_test 输出）齐全；缺失多则核心分被压。
http_codes_before.txt必须能解析出<count> <code>行，且覆盖 grader 私有期望的异常码集合（含足够量级）。http_codes_after.txt中关键异常码计数需降到 grader 私有阈值以内。fix_plan.md命中至少 3 个 grader 私有 nginx 指令关键字（直接写官方指令名即可，不要用代号或拼写变体）。- 两份 HTML 报告均存在；5 张截图齐全、≥ 5 KB、≥ 1280×720、md5 多样性 ≥ 0.8、OCR 能读到报告/浏览器 UI 文字。
nginx_report.md至少 4 段、每段 ≥ 80 字。- VLM rubric 对截图做 dashboard 真实性 / 修复前后对比的辅助评分，缺失会触发上限封顶。
Source
- nginx documentation
- GoAccess: https://goaccess.io/
Grading Criteria
-
- load_test.log + http_codes_before/after.txt + error_log_before.txt + nginx.conf.backup 存在
-
- http_codes_before.txt 含基线复现的异常 4xx/5xx 状态码（具体期望状态码与下限计数由 gt/expected.json 私有定义，agent 不可见）
-
- http_codes_after.txt 中基线出现过的异常状态码计数全部显著下降（具体阈值由 gt/expected.json 私有定义）
-
- fix_plan.md 中给出至少 3 处 agent 自行定位的 nginx 配置 bug，每处含具体 nginx 指令名 + 新值 + 日志证据（具体覆盖键由 gt/expected.json 私有定义）
-
- access_report_before.html + access_report_after.html 存在
-
- 5 张 GoAccess 报告截图 + OCR 命中 GoAccess UI 关键词
-
- nginx_report.md ≥ 4 段
-
- VLM rubric 评 goaccess dashboard
-
- 真交互硬闸：5 张 GoAccess HTML trajectory 截图 (overview / http_codes / 404 / time_series / after_fix) 的 md5 多样性 ≥ 0.8，证明真在浏览器里渲染并切换了多个 panel（Firefox / Chromium 打开 file:// 本地 HTML），而非 grep 直接截文本输出。
-
- chrome OCR 硬闸：截图含浏览器 + GoAccess 报告 chrome UI 关键词（
GoAccess/Visitors/Top URLs/404/Status Codes/General Statistics/Time Distribution等），且分辨率 ≥ 1280×720（含浏览器 menubar / tab 区域）。无真窗口信号则 overall_score 封顶 0.4。
- chrome OCR 硬闸：截图含浏览器 + GoAccess 报告 chrome UI 关键词（
Automated Checks
def grade(workspace_path=None, **kwargs) -> dict:
"""OPS_task_6 grader. Reads private expectations from gt/expected.json."""
import re, json, hashlib
from pathlib import Path
workspace = Path(workspace_path) if workspace_path else Path("/tmp_workspace")
rd = workspace / "results"
# Locate gt/expected.json (private oracle: keywords / thresholds not in Prompt)
# NOTE: grader is exec()'d, no __file__ available; rely on workspace_path side-paths.
gt = {}
for cand in [
workspace / "gt" / "expected.json",
workspace.parent / "gt" / "expected.json",
workspace.parent / "OPS" / "task_6_nginx_goaccess_errlog" / "gt" / "expected.json",
]:
try:
if cand.exists():
gt = json.loads(cand.read_text()); break
except Exception:
pass
anomalous = gt.get("expected_anomalous_codes_before", ["413", "504"])
fix_kws = gt.get("fix_must_include_keywords",
["worker_connections", "client_max_body_size", "proxy_read_timeout"])
fix_min_hits = int(gt.get("fix_min_keyword_hits", 3))
max_413 = int(gt.get("expected_after_fix_max_413", 0))
max_504 = int(gt.get("expected_after_fix_max_504", 2))
min_413_before = int(gt.get("expected_413_count_min_before", 30))
min_504_before = int(gt.get("expected_504_count_min_before", 15))
min_shot_bytes = int(gt.get("min_screenshot_bytes", 5120))
min_w, min_h = gt.get("min_screenshot_resolution", [1280, 720])
min_diversity = float(gt.get("min_md5_diversity", 0.8))
vlm_cap = float(gt.get("vlm_unavailable_cap", 0.6))
s = {}
# 1. CLI artifacts
cli_files = ["load_test.log","http_codes_before.txt","http_codes_after.txt",
"error_log_before.txt","nginx.conf.backup","load_test_after.log"]
cli_present = sum(1 for f in cli_files if (rd / f).exists())
s["cli_artifacts"] = cli_present / len(cli_files)
has_cli = cli_present >= 4
# 2. http_codes_before: must contain all anomalous codes AND counts >= private min
bp_score = 0.0
bp = rd / "http_codes_before.txt"
cnt_413_before = cnt_504_before = 0
if bp.exists():
try:
txt = bp.read_text()
present_codes = sum(1 for c in anomalous if c in txt)
for line in txt.splitlines():
m = re.search(r"(\d+)\D+(\d{3})", line.strip())
if m:
cnt, code = int(m.group(1)), m.group(2)
if code == "413": cnt_413_before += cnt
if code == "504": cnt_504_before += cnt
cov = present_codes / max(1, len(anomalous))
volume_ok = (cnt_413_before >= min_413_before and cnt_504_before >= min_504_before)
bp_score = cov if not volume_ok else max(cov, 1.0)
if cov < 1.0: bp_score = min(bp_score, 0.5)
except Exception: pass
s["before_has_errors"] = bp_score
# 3. http_codes_after: every anomalous code from gt must drop to threshold
ap_score = 0.0
ap = rd / "http_codes_after.txt"
cnt_413_after = cnt_504_after = -1
if ap.exists():
try:
txt = ap.read_text()
cnt_413_after = cnt_504_after = 0
for line in txt.splitlines():
m = re.search(r"(\d+)\D+(\d{3})", line.strip())
if m:
cnt, code = int(m.group(1)), m.group(2)
if code == "413": cnt_413_after += cnt
if code == "504": cnt_504_after += cnt
if cnt_413_after <= max_413 and cnt_504_after <= max_504:
ap_score = 1.0
elif cnt_413_after <= max_413 + 2 and cnt_504_after <= max_504 + 3:
ap_score = 0.5
except Exception: pass
s["after_clean"] = ap_score
# 4. fix_plan.md must reference >= fix_min_hits private nginx directives
fp_score = 0.0
fp_hits = 0
fp = rd / "fix_plan.md"
if fp.exists():
try:
txt = fp.read_text()
fp_hits = sum(1 for k in fix_kws if k in txt)
fp_score = min(1.0, fp_hits / max(1, fix_min_hits))
except Exception: pass
s["fix_plan_keywords"] = fp_score
# 5. HTML reports
s["goaccess_html_before"] = 1.0 if (rd / "access_report_before.html").exists() else 0.0
s["goaccess_html_after"] = 1.0 if (rd / "access_report_after.html").exists() else 0.0
# 6. GUI screenshots — existence + size lower bound (filter out placeholders)
gui_shots = ["view_goaccess_overview.png","view_goaccess_http_codes.png",
"view_goaccess_404_404.png","view_goaccess_time_series.png",
"view_goaccess_after_fix.png"]
valid_shots = []
for n in gui_shots:
p = rd / n
if p.exists():
try:
if p.stat().st_size >= min_shot_bytes:
valid_shots.append(p)
except Exception: pass
s["gui_screenshots_count"] = len(valid_shots) / len(gui_shots)
has_gui = len(valid_shots) >= 4
# 6b. OCR over goaccess UI keywords
ocr_available = True
try:
import pytesseract
from PIL import Image
kws_any = ["GoAccess","Hits","Visitors","HTTP","Status","Codes","Requests","Time","Bandwidth"]
ocr_hits = 0
for p in valid_shots:
try:
tx = pytesseract.image_to_string(Image.open(p))
if any(k.lower() in tx.lower() for k in kws_any): ocr_hits += 1
except Exception: pass
s["gui_screenshots_ocr"] = ocr_hits / len(gui_shots)
except Exception:
ocr_available = False
s["gui_screenshots_ocr"] = 0.0
# 7. nginx_report.md
rp_score = 0.0
rp = rd / "nginx_report.md"
if rp.exists():
try:
txt = rp.read_text()
parags = [p for p in re.split(r"\n\s*\n", txt) if len(p.strip()) >= 80]
rp_score = min(1.0, len(parags) / 4)
except Exception: pass
s["nginx_report"] = rp_score
# 8. VLM rubric
try:
from _judge_helper import vlm_score_rubric
except Exception:
vlm_score_rubric = None
vlm_available = bool(vlm_score_rubric) and (rd / "view_goaccess_overview.png").exists()
rubric = {
"vlm_goaccess_panels": "GoAccess HTML 报告含多个 panel(Hits / HTTP Codes / Time)",
"vlm_http_codes_chart": "HTTP Status Codes panel 显示明显的异常状态码占比",
"vlm_time_series": "时间序列图能看到错误 spike",
"vlm_after_clean": "after_fix 截图明显比 before 错误条少",
}
if vlm_available:
try:
imgs = [str(rd / n) for n in ["view_goaccess_overview.png","view_goaccess_http_codes.png","view_goaccess_after_fix.png"] if (rd / n).exists()]
vlm = vlm_score_rubric(imgs, rubric, instruction="评估 GoAccess HTML dashboard 截图。")
for k in rubric: s[k] = float(vlm.get(k, 0.0))
except Exception:
vlm_available = False
for k in rubric: s[k] = 0.0
else:
for k in rubric: s[k] = 0.0
# 9. GUI real interaction — md5 diversity of trajectory frames
traj_paths = [rd / n for n in gui_shots]
present_paths = [p for p in traj_paths if p.exists()]
if len(present_paths) >= 2:
_hashes = set(hashlib.md5(p.read_bytes()).hexdigest() for p in present_paths)
gui_diversity = (len(_hashes) / max(1, len(present_paths))) * (len(present_paths) / len(traj_paths))
else:
gui_diversity = 0.0
s["gui_real_interaction"] = 1.0 if gui_diversity >= min_diversity else (0.5 if gui_diversity >= 0.6 else 0.0)
# 10. Browser / GoAccess chrome OCR
chrome_kws = ["GoAccess","Visitors","Top URLs","Requested Files","Static Requests",
"Not Found","HTTP Status Codes","Time Distribution","Hosts",
"DevTools","Inspector","localhost","file://","Firefox","Chromium"]
chrome_hits = 0
if ocr_available:
try:
import pytesseract as _pt
from PIL import Image as _Img
for p in traj_paths:
if p.exists():
try:
tx = _pt.image_to_string(_Img.open(p))
if any(k.lower() in tx.lower() for k in chrome_kws):
chrome_hits += 1
except Exception: pass
s["gui_chrome_ocr"] = chrome_hits / len(traj_paths)
except Exception:
s["gui_chrome_ocr"] = 0.0
else:
s["gui_chrome_ocr"] = 0.0
# 11. Window geometry: real GUI screenshots ≥ private min resolution
geo_hits = 0
try:
from PIL import Image as _Img2
for p in traj_paths:
if p.exists():
try:
w, h = _Img2.open(p).size
if w >= min_w and h >= min_h:
geo_hits += 1
except Exception: pass
s["gui_window_geometry"] = geo_hits / len(traj_paths)
except Exception:
s["gui_window_geometry"] = 0.0
# ===== Weighted scoring: core 60% / gui 30% / aux 10% =====
core_keys = ["cli_artifacts","before_has_errors","after_clean",
"fix_plan_keywords","goaccess_html_before","goaccess_html_after",
"nginx_report"]
gui_keys = ["gui_screenshots_count","gui_screenshots_ocr","gui_real_interaction",
"gui_chrome_ocr","gui_window_geometry"]
aux_keys = list(rubric.keys()) # VLM rubric
def _avg(keys):
vals = [float(s.get(k, 0.0)) for k in keys]
return sum(vals) / len(vals) if vals else 0.0
core_score = _avg(core_keys)
gui_score = _avg(gui_keys)
aux_score = _avg(aux_keys)
s["_core_score"] = round(core_score, 4)
s["_gui_score"] = round(gui_score, 4)
s["_aux_score"] = round(aux_score, 4)
base = 0.6 * core_score + 0.3 * gui_score + 0.1 * aux_score
# ===== Hard gates (multi-layer, prevent "all-zero → 0.55") =====
# H0: anti-all-zero — if core deliverables totally missing, hard cap 0.10
hard_signals = sum(1 for k in ("cli_artifacts","before_has_errors","after_clean",
"fix_plan_keywords","nginx_report")
if float(s.get(k, 0.0)) > 0.0)
if hard_signals == 0:
base = min(base, 0.10)
elif hard_signals <= 2:
base = min(base, 0.30)
if not has_cli: base = min(base, 0.25)
if not has_gui: base = min(base, 0.30)
# Core deliverable gates
if s["fix_plan_keywords"] < 1.0: base = min(base, 0.55)
if s["fix_plan_keywords"] < 0.66: base = min(base, 0.40)
if s["after_clean"] < 1.0: base = min(base, 0.55)
if s["after_clean"] < 0.5: base = min(base, 0.40)
if s["before_has_errors"] < 1.0: base = min(base, 0.60)
if s["before_has_errors"] < 0.5: base = min(base, 0.45)
if s["nginx_report"] < 0.75: base = min(base, 0.55)
# GUI real-interaction gates (multi-layer)
if s.get("gui_real_interaction", 0.0) < 0.5: base = min(base, 0.40)
if s.get("gui_chrome_ocr", 0.0) < 0.5 and s.get("gui_window_geometry", 0.0) < 0.6:
base = min(base, 0.40)
if s.get("gui_screenshots_count", 0.0) < 0.6: base = min(base, 0.45)
# VLM unavailable / failed → cap (prevents no-VLM full marks)
if not vlm_available or aux_score == 0.0:
base = min(base, vlm_cap)
elif aux_score < 0.4:
base = min(base, 0.55)
s["overall_score"] = round(base, 4)
return s
Workspace Path
workspace/OPS/task_6_nginx_goaccess_errlog
Skills
Env
Warmup
echo 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 | base64 -d | bash