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main
...
feat/uptim
@ -85,38 +85,11 @@ jobs:
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echo "== run summary =="
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jq -r '.[] | "\(.name): \(.status_code) \(.latency_ms)ms success=\(.success)"' /tmp/run.json || cat /tmp/run.json
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- name: Aggregate probe results → Upptime format
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# Reads history/<slug>.jsonl files, computes rolling uptime/response-time
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# aggregates, and writes history/<slug>.yml + history/summary.json.
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# This fills the gap left by the Upptime → custom-probe migration:
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# the probe binary handles JSONL appends; this step handles the
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# aggregator outputs that the status page UI reads.
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# See molecule-ai/molecule-ai-status#7.
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- name: Commit history changes (best-effort)
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# Best-effort: a transient git push race shouldn't block the
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# next probe run. The next /5 firing will commit again.
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run: |
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set -euo pipefail
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python3 scripts/aggregate.py --history-dir history
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- name: Commit history changes
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# Fails fast if Gitea is unhealthy rather than silently swallowing
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# the push. The next /5 cron firing picks up where this left off once
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# Gitea recovers. Also guarded against concurrent-run race: the
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# workflow-level concurrency group (line ~42) ensures at most one
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# probe run per branch is in-flight at any time.
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run: |
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set -euo pipefail
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# Health gate: fail fast if Gitea is 502 or otherwise unreachable.
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# The probe ran successfully; we just can't persist the results yet.
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GATEWAY="https://git.moleculesai.app"
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HTTP_CODE=$(curl -s -o /dev/null -w "%{http_code}" \
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--max-time 10 "$GATEWAY/api/v1/version" || echo 000)
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if [ "$HTTP_CODE" != "200" ]; then
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echo "::error::Gitea unhealthy (HTTP $HTTP_CODE) — cannot push results."
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echo "::error::Probe data is in history/. Next successful push after Gitea"
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echo "::error::recovers will commit all buffered results."
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exit 1
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fi
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set +e
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git config user.name "uptime-probe[bot]"
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git config user.email "uptime-probe@bots.moleculesai.app"
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git add history/
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@ -125,4 +98,4 @@ jobs:
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exit 0
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fi
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git commit -m "chore(uptime): probe results $(date -u +%Y-%m-%dT%H:%M:%SZ)"
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git push origin HEAD:main
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git push origin HEAD:main || echo "push failed; next run will retry"
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@ -1,94 +0,0 @@
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{"timestamp":"2026-05-10T06:45:58Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":53,"success":true}
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{"timestamp":"2026-05-10T06:52:38Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":113,"success":true}
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{"timestamp":"2026-05-10T06:56:37Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":83,"success":true}
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{"timestamp":"2026-05-10T07:06:43Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":166,"success":true}
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{"timestamp":"2026-05-10T07:10:59Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":56,"success":true}
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{"timestamp":"2026-05-10T07:16:23Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":106,"success":true}
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{"timestamp":"2026-05-10T07:26:45Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":147,"success":true}
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{"timestamp":"2026-05-10T07:36:12Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":112,"success":true}
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{"timestamp":"2026-05-10T07:40:53Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":166,"success":true}
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{"timestamp":"2026-05-10T07:45:59Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":95,"success":true}
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{"timestamp":"2026-05-10T07:50:56Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":91,"success":true}
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{"timestamp":"2026-05-10T08:01:02Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":132,"success":true}
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{"timestamp":"2026-05-10T08:11:03Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":153,"success":true}
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{"timestamp":"2026-05-10T08:15:43Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":50,"success":true}
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{"timestamp":"2026-05-10T08:21:28Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":100,"success":true}
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{"timestamp":"2026-05-10T08:27:17Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":102,"success":true}
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{"timestamp":"2026-05-10T08:32:25Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":187,"success":true}
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{"timestamp":"2026-05-10T08:39:43Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":145,"success":true}
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{"timestamp":"2026-05-10T08:47:06Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":113,"success":true}
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{"timestamp":"2026-05-10T09:00:44Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":401,"success":true}
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{"timestamp":"2026-05-10T09:06:13Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":416,"success":true}
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{"timestamp":"2026-05-10T09:17:28Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":439,"success":true}
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{"timestamp":"2026-05-10T09:26:32Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":342,"success":true}
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{"timestamp":"2026-05-10T09:32:38Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":134,"success":true}
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{"timestamp":"2026-05-10T09:36:34Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":95,"success":true}
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{"timestamp":"2026-05-10T09:41:28Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":100,"success":true}
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{"timestamp":"2026-05-10T09:46:15Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":381,"success":true}
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{"timestamp":"2026-05-10T09:50:44Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":164,"success":true}
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{"timestamp":"2026-05-10T10:01:32Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":412,"success":true}
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{"timestamp":"2026-05-10T10:12:14Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":326,"success":true}
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{"timestamp":"2026-05-10T10:16:58Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":207,"success":true}
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{"timestamp":"2026-05-10T10:20:43Z","name":"Canvas — legal redirect","url":"https://www.moleculesai.app/legal/terms","method":"GET","status_code":200,"latency_ms":67,"success":true}
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||||
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||||
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||||
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||||
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@ -1,7 +1,7 @@
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|
||||
"timeDay": 159.0,
|
||||
"timeWeek": 154.0,
|
||||
"timeMonth": 154.0,
|
||||
"timeYear": 154.0,
|
||||
"time": 229,
|
||||
"timeDay": 263,
|
||||
"timeWeek": 229,
|
||||
"timeMonth": 229,
|
||||
"timeYear": 229,
|
||||
"dailyMinutesDown": {}
|
||||
},
|
||||
{
|
||||
"name": "Canvas \u2014 pricing route",
|
||||
"name": "Canvas — pricing route",
|
||||
"url": "https://www.moleculesai.app/pricing",
|
||||
"icon": "https://icons.duckduckgo.com/ip3/www.moleculesai.app.ico",
|
||||
"slug": "canvas-pricing-route",
|
||||
"status": "up",
|
||||
"uptime": "100.00%",
|
||||
"uptimeDay": "100.00%",
|
||||
"uptimeWeek": "100.00%",
|
||||
"uptimeMonth": "100.00%",
|
||||
"uptimeYear": "100.00%",
|
||||
"time": 152.0,
|
||||
"timeDay": 157.0,
|
||||
"timeWeek": 152.0,
|
||||
"timeMonth": 152.0,
|
||||
"timeYear": 152.0,
|
||||
"dailyMinutesDown": {}
|
||||
"status": "down",
|
||||
"uptime": "0.00%",
|
||||
"uptimeDay": "0.00%",
|
||||
"uptimeWeek": "0.00%",
|
||||
"uptimeMonth": "0.00%",
|
||||
"uptimeYear": "0.00%",
|
||||
"time": 34,
|
||||
"timeDay": 21,
|
||||
"timeWeek": 34,
|
||||
"timeMonth": 34,
|
||||
"timeYear": 34,
|
||||
"dailyMinutesDown": {
|
||||
"2026-04-19": 1297,
|
||||
"2026-04-18": 1440,
|
||||
"2026-04-17": 1440,
|
||||
"2026-04-16": 1440,
|
||||
"2026-04-15": 157
|
||||
}
|
||||
},
|
||||
{
|
||||
"name": "Canvas \u2014 legal redirect",
|
||||
"name": "Canvas — legal redirect",
|
||||
"url": "https://www.moleculesai.app/legal/terms",
|
||||
"icon": "https://icons.duckduckgo.com/ip3/www.moleculesai.app.ico",
|
||||
"slug": "canvas-legal-redirect",
|
||||
"status": "up",
|
||||
"uptime": "100.00%",
|
||||
"uptimeDay": "100.00%",
|
||||
"uptimeWeek": "100.00%",
|
||||
"uptimeMonth": "100.00%",
|
||||
"uptimeYear": "100.00%",
|
||||
"time": 153.0,
|
||||
"timeDay": 158.0,
|
||||
"timeWeek": 153.0,
|
||||
"timeMonth": 153.0,
|
||||
"timeYear": 153.0,
|
||||
"dailyMinutesDown": {}
|
||||
"status": "down",
|
||||
"uptime": "0.00%",
|
||||
"uptimeDay": "0.00%",
|
||||
"uptimeWeek": "0.00%",
|
||||
"uptimeMonth": "0.00%",
|
||||
"uptimeYear": "0.00%",
|
||||
"time": 28,
|
||||
"timeDay": 18,
|
||||
"timeWeek": 28,
|
||||
"timeMonth": 28,
|
||||
"timeYear": 28,
|
||||
"dailyMinutesDown": {
|
||||
"2026-04-19": 1297,
|
||||
"2026-04-18": 1440,
|
||||
"2026-04-17": 1440,
|
||||
"2026-04-16": 1440,
|
||||
"2026-04-15": 156
|
||||
}
|
||||
}
|
||||
]
|
||||
@ -1,263 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
aggregate.py — Upptime-format aggregator for molecule-ai-status.
|
||||
|
||||
Reads probe results from history/<slug>.jsonl files, computes rolling
|
||||
uptime and response-time aggregates, and writes:
|
||||
|
||||
history/<slug>.yml — latest probe result (Upptime status-file format)
|
||||
history/summary.json — per-site aggregates for day/week/month/year
|
||||
|
||||
Run after each probe run, before the git commit step.
|
||||
|
||||
Usage:
|
||||
python3 scripts/aggregate.py [--history-dir history]
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import json
|
||||
import sys
|
||||
import time
|
||||
from datetime import datetime, timezone, timedelta
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
def parse_ts(ts: str) -> datetime:
|
||||
"""Parse ISO-8601 timestamp with Z suffix."""
|
||||
return datetime.fromisoformat(ts.replace("Z", "+00:00"))
|
||||
|
||||
|
||||
def compute_uptime_pct(results: list[dict], since: datetime) -> tuple[float, int]:
|
||||
"""
|
||||
Return (uptime_percent, minutes_down) for results since `since`.
|
||||
|
||||
A 5-minute interval is "down" if the result at or after that minute
|
||||
had success=False. minutes_down is the count of such 5-min slots.
|
||||
"""
|
||||
now = datetime.now(timezone.utc)
|
||||
if not results:
|
||||
return 100.0, 0
|
||||
|
||||
# Bucket results into 5-minute slots
|
||||
slots: dict[int, bool] = {} # slot_minute -> any_success
|
||||
for r in results:
|
||||
if parse_ts(r["timestamp"]) < since:
|
||||
continue
|
||||
slot = int(parse_ts(r["timestamp"]).timestamp() // 300) * 300
|
||||
# If any probe in this slot succeeded, the slot is up
|
||||
if slots.get(slot, r["success"]):
|
||||
slots[slot] = r["success"]
|
||||
|
||||
if not slots:
|
||||
return 100.0, 0
|
||||
|
||||
total_slots = len(slots)
|
||||
up_slots = sum(1 for v in slots.values() if v)
|
||||
uptime_pct = (up_slots / total_slots) * 100
|
||||
minutes_down = total_slots - up_slots
|
||||
return round(uptime_pct, 2), minutes_down
|
||||
|
||||
|
||||
def avg_response_time(results: list[dict], since: datetime) -> float | None:
|
||||
"""Return average latency_ms for results since `since`."""
|
||||
latencies = [
|
||||
r["latency_ms"]
|
||||
for r in results
|
||||
if parse_ts(r["timestamp"]) >= since and r.get("latency_ms") is not None
|
||||
]
|
||||
return round(sum(latencies) / len(latencies), 0) if latencies else None
|
||||
|
||||
|
||||
def slug_from_name(name: str) -> str:
|
||||
"""Derive slug from site name (matches Upptime convention)."""
|
||||
return name.lower().replace(" — ", "-").replace(" ", "-").replace(".", "")
|
||||
|
||||
|
||||
def get_sites(upptimerc: Path) -> list[dict]:
|
||||
"""Parse .upptimerc.yml to get site list (name, url)."""
|
||||
try:
|
||||
import yaml
|
||||
except ImportError:
|
||||
pass # Fall back to simple parser below
|
||||
|
||||
content = upptimerc.read_text()
|
||||
|
||||
# Try yaml import first
|
||||
try:
|
||||
import yaml as _yaml
|
||||
data = _yaml.safe_load(content)
|
||||
raw_sites = data.get("sites", []) if data else []
|
||||
return [{"name": s["name"], "url": s["url"]} for s in raw_sites if s.get("name")]
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
# Fallback: simple line-based parser for indented - name: / url: pairs
|
||||
sites = []
|
||||
in_sites = False
|
||||
current = {}
|
||||
for line in content.splitlines():
|
||||
stripped = line.strip()
|
||||
indent = len(line) - len(stripped)
|
||||
if stripped == "sites:":
|
||||
in_sites = True
|
||||
continue
|
||||
if not in_sites:
|
||||
continue
|
||||
# Dedent back to top-level ends sites block
|
||||
if indent == 0 and stripped and not stripped.startswith("-"):
|
||||
break
|
||||
if stripped.startswith("- name:"):
|
||||
if current.get("name"):
|
||||
sites.append(current)
|
||||
current = {"name": stripped.split("name:", 1)[1].strip().lstrip("- ")}
|
||||
elif stripped.startswith("url:"):
|
||||
current["url"] = stripped.split("url:", 1)[1].strip()
|
||||
if current.get("name"):
|
||||
sites.append(current)
|
||||
return sites
|
||||
|
||||
|
||||
def write_yml(slug: str, latest: dict | None, first_ts: str | None) -> str:
|
||||
"""Write history/<slug>.yml in Upptime format."""
|
||||
if latest is None:
|
||||
# No probe results — leave as-is or write a placeholder
|
||||
return ""
|
||||
status = "up" if latest["success"] else "down"
|
||||
code = latest["status_code"]
|
||||
response_time = latest["latency_ms"]
|
||||
last_updated = latest["timestamp"]
|
||||
start_time = first_ts or last_updated
|
||||
yml = f"""\
|
||||
url: {latest["url"]}
|
||||
status: {status}
|
||||
code: {code}
|
||||
responseTime: {response_time}
|
||||
lastUpdated: {last_updated}
|
||||
startTime: {start_time}
|
||||
generator: Upptime <https://github.com/upptime/upptime>
|
||||
"""
|
||||
return yml
|
||||
|
||||
|
||||
def write_summary_site_entry(name: str, url: str, slug: str,
|
||||
results: list[dict],
|
||||
start_time: datetime) -> dict:
|
||||
"""Build a summary.json entry for one site."""
|
||||
now = datetime.now(timezone.utc)
|
||||
day_start = now - timedelta(days=1)
|
||||
week_start = now - timedelta(weeks=1)
|
||||
month_start = now - timedelta(days=30)
|
||||
year_start = now - timedelta(days=365)
|
||||
|
||||
uptime, uptime_day, uptime_week, uptime_month, uptime_year = None, None, None, None, None
|
||||
rt, rt_day, rt_week, rt_month, rt_year = None, None, None, None, None
|
||||
|
||||
# All-time
|
||||
uptime, _ = compute_uptime_pct(results, start_time)
|
||||
rt = avg_response_time(results, start_time)
|
||||
|
||||
# Day
|
||||
uptime_day, _ = compute_uptime_pct(results, day_start)
|
||||
rt_day = avg_response_time(results, day_start)
|
||||
|
||||
# Week
|
||||
uptime_week, _ = compute_uptime_pct(results, week_start)
|
||||
rt_week = avg_response_time(results, week_start)
|
||||
|
||||
# Month
|
||||
uptime_month, _ = compute_uptime_pct(results, month_start)
|
||||
rt_month = avg_response_time(results, month_start)
|
||||
|
||||
# Year
|
||||
uptime_year, _ = compute_uptime_pct(results, year_start)
|
||||
rt_year = avg_response_time(results, year_start)
|
||||
|
||||
latest = results[-1] if results else {}
|
||||
status = "up" if latest.get("success", True) else "down"
|
||||
|
||||
def fmt(val):
|
||||
if val is None:
|
||||
return None
|
||||
return f"{val:.2f}%" if isinstance(val, float) else val
|
||||
|
||||
return {
|
||||
"name": name,
|
||||
"url": url,
|
||||
"slug": slug,
|
||||
"status": status,
|
||||
"uptime": fmt(uptime),
|
||||
"uptimeDay": fmt(uptime_day),
|
||||
"uptimeWeek": fmt(uptime_week),
|
||||
"uptimeMonth": fmt(uptime_month),
|
||||
"uptimeYear": fmt(uptime_year),
|
||||
"time": rt,
|
||||
"timeDay": rt_day,
|
||||
"timeWeek": rt_week,
|
||||
"timeMonth": rt_month,
|
||||
"timeYear": rt_year,
|
||||
"dailyMinutesDown": {},
|
||||
}
|
||||
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description="Aggregate upptime probe results")
|
||||
parser.add_argument("--history-dir", default="history", help="Path to history directory")
|
||||
args = parser.parse_args()
|
||||
|
||||
history_dir = Path(args.history_dir)
|
||||
upptimerc = Path(".upptimerc.yml")
|
||||
|
||||
if not history_dir.exists():
|
||||
print(f"No history directory: {history_dir}")
|
||||
sys.exit(1)
|
||||
|
||||
sites = get_sites(upptimerc)
|
||||
print(f"Aggregating {len(sites)} sites from {history_dir}/")
|
||||
|
||||
summary_entries = []
|
||||
written_ymls = 0
|
||||
|
||||
for site in sites:
|
||||
name = site["name"]
|
||||
url = site["url"]
|
||||
slug = slug_from_name(name)
|
||||
jsonl_path = history_dir / f"{slug}.jsonl"
|
||||
|
||||
results = []
|
||||
if jsonl_path.exists():
|
||||
for line in jsonl_path.read_text().strip().splitlines():
|
||||
if line.strip():
|
||||
try:
|
||||
results.append(json.loads(line))
|
||||
except json.JSONDecodeError:
|
||||
pass
|
||||
|
||||
# Sort by timestamp
|
||||
results.sort(key=lambda r: r.get("timestamp", ""))
|
||||
latest = results[-1] if results else None
|
||||
first_ts = results[0].get("timestamp") if results else None
|
||||
start_time = parse_ts(first_ts) if first_ts else datetime.now(timezone.utc)
|
||||
|
||||
# Write .yml
|
||||
yml_content = write_yml(slug, latest, first_ts)
|
||||
if yml_content:
|
||||
yml_path = history_dir / f"{slug}.yml"
|
||||
yml_path.write_text(yml_content)
|
||||
written_ymls += 1
|
||||
status = "up" if latest.get("success") else "down"
|
||||
print(f" {slug}: {status} ({len(results)} results, latest {latest.get('status_code') if latest else 'N/A'})")
|
||||
else:
|
||||
print(f" {slug}: no results (skipped)")
|
||||
|
||||
# Build summary entry
|
||||
entry = write_summary_site_entry(name, url, slug, results, start_time)
|
||||
summary_entries.append(entry)
|
||||
|
||||
# Write summary.json
|
||||
summary_path = history_dir / "summary.json"
|
||||
summary_path.write_text(json.dumps(summary_entries, indent=2))
|
||||
print(f"\nWrote {written_ymls} .yml files + summary.json ({len(summary_entries)} entries)")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Loading…
Reference in New Issue
Block a user