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Author SHA1 Message Date
Alexander Whitestone
848640f9f0 feat: PR triage automation with auto-merge (#659)
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Enhances scripts/pr_triage.py with:

- Auto-merge for safe PRs (--auto-merge, --dry-run)
- --all-repos for org-wide triage
- Title-similarity duplicate detection (SequenceMatcher > 0.85)
- Risk scoring (age + staleness + no refs + conflicts)
- is_safe_to_merge() guard: training-data only, mergeable,
  not stale, risk < 50

19 tests in tests/test_pr_triage.py covering categorization,
ref extraction, duplicate detection, health assessment, and
auto-merge safety checks.
2026-04-14 22:26:24 -04:00
Alexander Whitestone
0fcef1839e feat: PR triage automation script (#659)
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- scripts/pr_triage.py: fetch, categorize, deduplicate, report
- Categories: training-data, bug-fix, feature, maintenance, documentation, testing, infrastructure
- Duplicate detection: PRs referencing same issue
- Health checks: stale (>7d), closed issue refs, mergeable status
- Markdown report + JSON output
- 8 tests pass
2026-04-14 22:20:06 -04:00
ad751a6de6 docs: add pipeline scheduler README 2026-04-14 22:47:12 +00:00
130fa40f0c feat: add pipeline-scheduler cron job 2026-04-14 22:46:51 +00:00
82f9810081 feat: add nightly-pipeline-scheduler.sh 2026-04-14 22:46:38 +00:00
2548277137 cleanup test
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2026-04-14 22:39:03 +00:00
2b234fde79 test: verify API works
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2026-04-14 22:39:02 +00:00
5 changed files with 965 additions and 0 deletions

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- name: Nightly Pipeline Scheduler
schedule: '*/30 18-23,0-8 * * *' # Every 30 min, off-peak hours only
tasks:
- name: Check and start pipelines
shell: "bash scripts/nightly-pipeline-scheduler.sh"
env:
PIPELINE_TOKEN_LIMIT: "500000"
PIPELINE_PEAK_START: "9"
PIPELINE_PEAK_END: "18"

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# Nightly Pipeline Scheduler
Auto-starts batch pipelines when inference is available.
## What It Does
1. Checks inference provider health (OpenRouter, Ollama, RunPod)
2. Checks if it's off-peak hours (configurable, default: after 6PM)
3. Checks interactive session load (don't fight with live users)
4. Checks daily token budget (configurable limit)
5. Starts the highest-priority incomplete pipeline
## Pipeline Priority Order
| Priority | Pipeline | Deps | Max Tokens |
|----------|----------|------|------------|
| 1 | playground-factory | none | 100,000 |
| 2 | training-factory | none | 150,000 |
| 3 | knowledge-mine | training-factory running | 80,000 |
| 4 | adversary | knowledge-mine running | 50,000 |
| 5 | codebase-genome | none | 120,000 |
## Usage
```bash
# Normal run (used by cron)
./scripts/nightly-pipeline-scheduler.sh
# Dry run (show what would start)
./scripts/nightly-pipeline-scheduler.sh --dry-run
# Status report
./scripts/nightly-pipeline-scheduler.sh --status
# Force start during peak hours
./scripts/nightly-pipeline-scheduler.sh --force
```
## Configuration
Set via environment variables:
- `PIPELINE_TOKEN_LIMIT`: Daily token budget (default: 500,000)
- `PIPELINE_PEAK_START`: Peak hours start (default: 9)
- `PIPELINE_PEAK_END`: Peak hours end (default: 18)
- `HERMES_HOME`: Hermes home directory (default: ~/.hermes)
## Cron
Runs every 30 minutes. Off-peak only (unless --force).
See `cron/pipeline-scheduler.yml`.

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#!/usr/bin/env bash
# nightly-pipeline-scheduler.sh — Auto-start batch pipelines when inference is available.
#
# Checks provider health, pipeline progress, token budget, and interactive load.
# Starts the highest-priority incomplete pipeline that can run.
#
# Usage:
# ./scripts/nightly-pipeline-scheduler.sh # Normal run
# ./scripts/nightly-pipeline-scheduler.sh --dry-run # Show what would start
# ./scripts/nightly-pipeline-scheduler.sh --status # Pipeline status report
set -euo pipefail
# --- Configuration ---
HERMES_HOME="${HERMES_HOME:-$HOME/.hermes}"
BUDGET_FILE="${HERMES_HOME}/pipeline_budget.json"
STATE_FILE="${HERMES_HOME}/pipeline_state.json"
LOG_FILE="${HERMES_HOME}/logs/pipeline-scheduler.log"
TOKEN_DAILY_LIMIT="${PIPELINE_TOKEN_LIMIT:-500000}"
PEAK_HOURS_START="${PIPELINE_PEAK_START:-9}"
PEAK_HOURS_END="${PIPELINE_PEAK_END:-18}"
# Pipeline definitions (priority order)
# Each pipeline: name, script, max_tokens, dependencies
PIPELINES=(
"playground-factory|scripts/pipeline_playground_factory.sh|100000|none"
"training-factory|scripts/pipeline_training_factory.sh|150000|none"
"knowledge-mine|scripts/pipeline_knowledge_mine.sh|80000|training-factory"
"adversary|scripts/pipeline_adversary.sh|50000|knowledge-mine"
"codebase-genome|scripts/pipeline_codebase_genome.sh|120000|none"
)
# --- Colors ---
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[0;33m'
CYAN='\033[0;36m'
NC='\033[0m'
# --- Helpers ---
now_hour() { date +%-H; }
is_peak_hours() {
local h=$(now_hour)
[[ $h -ge $PEAK_HOURS_START && $h -lt $PEAK_HOURS_END ]]
}
ensure_dirs() {
mkdir -p "$(dirname "$LOG_FILE")" "$(dirname "$BUDGET_FILE")" "$(dirname "$STATE_FILE")"
}
log() { echo "[$(date '+%Y-%m-%d %H:%M:%S')] $*" | tee -a "$LOG_FILE"; }
get_budget_used_today() {
if [[ -f "$BUDGET_FILE" ]]; then
local today=$(date +%Y-%m-%d)
python3 -c "
import json, sys
with open('$BUDGET_FILE') as f:
d = json.load(f)
print(d.get('daily', {}).get('$today', {}).get('tokens_used', 0))
" 2>/dev/null || echo 0
else
echo 0
fi
}
get_budget_remaining() {
local used=$(get_budget_used_today)
echo $((TOKEN_DAILY_LIMIT - used))
}
update_budget() {
local pipeline="$1"
local tokens="$2"
local today=$(date +%Y-%m-%d)
python3 -c "
import json, os
path = '$BUDGET_FILE'
d = {}
if os.path.exists(path):
with open(path) as f:
d = json.load(f)
daily = d.setdefault('daily', {})
day = daily.setdefault('$today', {'tokens_used': 0, 'pipelines': {}})
day['tokens_used'] = day.get('tokens_used', 0) + $tokens
day['pipelines']['$pipeline'] = day['pipelines'].get('$pipeline', 0) + $tokens
with open(path, 'w') as f:
json.dump(d, f, indent=2)
"
}
get_pipeline_state() {
if [[ -f "$STATE_FILE" ]]; then
cat "$STATE_FILE"
else
echo "{}"
fi
}
set_pipeline_state() {
local pipeline="$1"
local state="$2" # running, complete, failed, skipped
python3 -c "
import json, os
path = '$STATE_FILE'
d = {}
if os.path.exists(path):
with open(path) as f:
d = json.load(f)
d['$pipeline'] = {'state': '$state', 'updated': '$(date -Iseconds)'}
with open(path, 'w') as f:
json.dump(d, f, indent=2)
"
}
is_pipeline_complete() {
local pipeline="$1"
python3 -c "
import json, os
path = '$STATE_FILE'
if not os.path.exists(path):
print('false')
else:
with open(path) as f:
d = json.load(f)
state = d.get('$pipeline', {}).get('state', 'not_started')
print('true' if state == 'complete' else 'false')
" 2>/dev/null || echo false
}
is_pipeline_running() {
local pipeline="$1"
python3 -c "
import json, os
path = '$STATE_FILE'
if not os.path.exists(path):
print('false')
else:
with open(path) as f:
d = json.load(f)
state = d.get('$pipeline', {}).get('state', 'not_started')
print('true' if state == 'running' else 'false')
" 2>/dev/null || echo false
}
check_dependency() {
local dep="$1"
if [[ "$dep" == "none" ]]; then
return 0
fi
# For knowledge-mine: training-factory must be running or complete
if [[ "$dep" == "training-factory" ]]; then
local state=$(python3 -c "
import json, os
path = '$STATE_FILE'
if not os.path.exists(path):
print('not_started')
else:
with open(path) as f:
d = json.load(f)
print(d.get('training-factory', {}).get('state', 'not_started'))
" 2>/dev/null || echo "not_started")
[[ "$state" == "running" || "$state" == "complete" ]]
return $?
fi
# For adversary: knowledge-mine must be at least 50% done
# Simplified: check if it's running (we'd need progress tracking for 50%)
if [[ "$dep" == "knowledge-mine" ]]; then
local state=$(python3 -c "
import json, os
path = '$STATE_FILE'
if not os.path.exists(path):
print('not_started')
else:
with open(path) as f:
d = json.load(f)
print(d.get('knowledge-mine', {}).get('state', 'not_started'))
" 2>/dev/null || echo "not_started")
[[ "$state" == "running" || "$state" == "complete" ]]
return $?
fi
return 0
}
check_inference_available() {
# Check if any inference provider is responding
# 1. Check OpenRouter
local or_ok=$(curl -s -o /dev/null -w "%{http_code}" \
--connect-timeout 5 "https://openrouter.ai/api/v1/models" 2>/dev/null || echo "000")
# 2. Check local Ollama
local ollama_ok=$(curl -s -o /dev/null -w "%{http_code}" \
--connect-timeout 5 "http://localhost:11434/api/tags" 2>/dev/null || echo "000")
# 3. Check RunPod (if configured)
local runpod_ok="000"
if [[ -n "${RUNPOD_ENDPOINT:-}" ]]; then
runpod_ok=$(curl -s -o /dev/null -w "%{http_code}" \
--connect-timeout 5 "$RUNPOD_ENDPOINT/health" 2>/dev/null || echo "000")
fi
if [[ "$or_ok" == "200" || "$ollama_ok" == "200" || "$runpod_ok" == "200" ]]; then
return 0
fi
return 1
}
check_interactive_load() {
# Check if there are active interactive sessions (don't fight with live users)
# Look for tmux panes with active hermes sessions
local active=$(tmux list-panes -a -F '#{pane_pid} #{pane_current_command}' 2>/dev/null \
| grep -c "hermes\|python3" || echo 0)
# If more than 3 interactive sessions, skip pipeline start
if [[ $active -gt 3 ]]; then
return 1
fi
return 0
}
start_pipeline() {
local name="$1"
local script="$2"
local max_tokens="$3"
local budget_remaining="$4"
local mode="${5:-run}"
if [[ "$budget_remaining" -lt "$max_tokens" ]]; then
log "SKIP $name: insufficient budget ($budget_remaining < $max_tokens tokens)"
return 1
fi
if [[ ! -f "$script" ]]; then
log "SKIP $name: script not found ($script)"
return 1
fi
if [[ "$mode" == "dry-run" ]]; then
log "DRY-RUN: Would start $name (budget: $budget_remaining, needs: $max_tokens)"
return 0
fi
log "START $name (budget: $budget_remaining, max_tokens: $max_tokens)"
set_pipeline_state "$name" "running"
# Run in background, capture output
local log_path="${HERMES_HOME}/logs/pipeline-${name}.log"
bash "$script" --max-tokens "$max_tokens" >> "$log_path" 2>&1 &
local pid=$!
# Wait a moment to check if it started OK
sleep 2
if kill -0 $pid 2>/dev/null; then
log "RUNNING $name (PID: $pid, log: $log_path)"
# Record the PID
python3 -c "
import json, os
path = '$STATE_FILE'
d = {}
if os.path.exists(path):
with open(path) as f:
d = json.load(f)
d['$name']['pid'] = $pid
with open(path, 'w') as f:
json.dump(d, f, indent=2)
"
return 0
else
log "FAIL $name: script exited immediately"
set_pipeline_state "$name" "failed"
return 1
fi
}
# --- Main ---
main() {
local mode="${1:-run}"
ensure_dirs
log "=== Pipeline Scheduler ($mode) ==="
# Check 1: Is inference available?
if ! check_inference_available; then
log "No inference provider available. Skipping all pipelines."
exit 0
fi
log "Inference: AVAILABLE"
# Check 2: Is it peak hours?
if is_peak_hours && [[ "$mode" != "--force" ]]; then
local h=$(now_hour)
log "Peak hours ($h:00). Skipping pipeline start. Use --force to override."
exit 0
fi
log "Off-peak: OK"
# Check 3: Interactive load
if ! check_interactive_load && [[ "$mode" != "--force" ]]; then
log "High interactive load. Skipping pipeline start."
exit 0
fi
log "Interactive load: OK"
# Check 4: Token budget
local budget=$(get_budget_remaining)
log "Token budget remaining: $budget / $TOKEN_DAILY_LIMIT"
if [[ $budget -le 0 ]]; then
log "Daily token budget exhausted. Stopping."
exit 0
fi
# Check 5: Pipeline status
if [[ "$mode" == "--status" ]]; then
echo -e "${CYAN}Pipeline Status:${NC}"
echo "────────────────────────────────────────────────────"
for entry in "${PIPELINES[@]}"; do
IFS='|' read -r name script max_tokens dep <<< "$entry"
local state=$(python3 -c "
import json, os
path = '$STATE_FILE'
if not os.path.exists(path):
print('not_started')
else:
with open(path) as f:
d = json.load(f)
print(d.get('$name', {}).get('state', 'not_started'))
" 2>/dev/null || echo "not_started")
local color=$NC
case "$state" in
running) color=$YELLOW ;;
complete) color=$GREEN ;;
failed) color=$RED ;;
esac
printf " %-25s %b%s%b (max: %s tokens, dep: %s)\n" "$name" "$color" "$state" "$NC" "$max_tokens" "$dep"
done
echo "────────────────────────────────────────────────────"
echo " Budget: $budget / $TOKEN_DAILY_LIMIT tokens remaining"
echo " Peak hours: $PEAK_HOURS_START:00 - $PEAK_HOURS_END:00"
exit 0
fi
# Find and start the highest-priority incomplete pipeline
local started=0
for entry in "${PIPELINES[@]}"; do
IFS='|' read -r name script max_tokens dep <<< "$entry"
# Skip if already running or complete
if [[ "$(is_pipeline_running $name)" == "true" ]]; then
log "SKIP $name: already running"
continue
fi
if [[ "$(is_pipeline_complete $name)" == "true" ]]; then
log "SKIP $name: already complete"
continue
fi
# Check dependency
if ! check_dependency "$dep"; then
log "SKIP $name: dependency $dep not met"
continue
fi
# Try to start
if start_pipeline "$name" "$script" "$max_tokens" "$budget" "$mode"; then
started=1
# Only start one pipeline per run (let it claim tokens before next check)
# Exception: playground-factory and training-factory can run in parallel
if [[ "$name" != "playground-factory" && "$name" != "training-factory" ]]; then
break
fi
fi
done
if [[ $started -eq 0 ]]; then
log "No pipelines to start (all complete, running, or blocked)."
fi
log "=== Pipeline Scheduler done ==="
}
main "$@"

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scripts/pr_triage.py Executable file
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#!/usr/bin/env python3
"""PR Triage Automation -- Categorize, deduplicate, report, auto-merge (#659).
Enhancements over base implementation:
- Auto-merge for safe PRs (training data with passing tests)
- --all-repos flag for org-wide triage
- JSON output with structured data
- Age-based risk scoring
- Better duplicate detection (title similarity)
- Tests in tests/test_pr_triage.py
Usage:
python scripts/pr_triage.py --repo hermes-agent
python scripts/pr_triage.py --repo hermes-agent --json
python scripts/pr_triage.py --repo hermes-agent --auto-merge --dry-run
python scripts/pr_triage.py --all-repos --owner Timmy_Foundation
"""
import argparse
import json
import os
import re
import sys
import subprocess
from collections import Counter, defaultdict
from datetime import datetime, timezone
from difflib import SequenceMatcher
from urllib.request import Request, urlopen
from urllib.error import HTTPError
def _token():
t = os.environ.get("GITEA_TOKEN", "")
if not t:
p = os.path.expanduser("~/.config/gitea/token")
if os.path.exists(p):
t = open(p).read().strip()
return t
def _api(url, token, method="GET", data=None):
h = {"Authorization": "token " + token, "Accept": "application/json"}
body = json.dumps(data).encode() if data else None
if data:
h["Content-Type"] = "application/json"
req = Request(url, data=body, headers=h, method=method)
try:
return json.loads(urlopen(req, timeout=30).read())
except HTTPError:
return None
def fetch_prs(base, token, owner, repo):
prs, page = [], 1
while True:
b = _api(f"{base}/api/v1/repos/{owner}/{repo}/pulls?state=open&limit=50&page={page}", token)
if not b:
break
prs.extend(b)
if len(b) < 50:
break
page += 1
return prs
def fetch_issues(base, token, owner, repo):
iss, page = {}, 1
while True:
b = _api(f"{base}/api/v1/repos/{owner}/{repo}/issues?state=open&limit=50&page={page}", token)
if not b:
break
for i in b:
if "pull_request" not in i:
iss[i["number"]] = i
if len(b) < 50:
break
page += 1
return iss
def fetch_repos(base, token, owner):
repos, page = [], 1
while True:
b = _api(f"{base}/api/v1/orgs/{owner}/repos?limit=50&page={page}", token)
if not b:
break
repos.extend([r["name"] for r in b])
if len(b) < 50:
break
page += 1
return repos
def categorize(pr):
c = (pr.get("title", "") + " " + pr.get("body", "") + " " +
" ".join(l.get("name", "") for l in pr.get("labels", []))).lower()
for kw, cat in [
("training data", "training-data"), ("dpo", "training-data"), ("grpo", "training-data"),
("fix:", "bug-fix"), ("bug", "bug-fix"), ("hotfix", "bug-fix"),
("feat:", "feature"), ("feature", "feature"), ("enhancement", "feature"),
("refactor", "maintenance"), ("cleanup", "maintenance"), ("chore:", "maintenance"),
("doc", "documentation"), ("test", "testing"), ("ci", "infrastructure"),
("infra", "infrastructure"), ("deploy", "infrastructure"),
]:
if kw in c:
return cat
return "other"
def refs(pr):
return [int(m) for m in re.findall(r"#(\d+)", pr.get("title", "") + " " + pr.get("body", ""))]
def find_duplicates(prs):
by_ref = defaultdict(list)
for p in prs:
for r in refs(p):
by_ref[r].append(p)
by_title = defaultdict(list)
for p in prs:
# Normalize title for comparison
norm = re.sub(r"^(fix|feat|chore|docs|test|refactor)[\(:].*?[\):]\s*", "", p.get("title", "").lower())
norm = re.sub(r"#\d+", "", norm).strip()
by_title[norm].append(p)
dup_groups = []
seen = set()
# Ref-based duplicates
for r, group in by_ref.items():
if len(group) > 1:
key = tuple(sorted(p["number"] for p in group))
if key not in seen:
seen.add(key)
dup_groups.append({"type": "ref", "ref": r, "prs": group})
# Title-similarity duplicates (threshold 0.85)
for i, p1 in enumerate(prs):
for p2 in prs[i + 1:]:
key = tuple(sorted([p1["number"], p2["number"]]))
if key in seen:
continue
sim = SequenceMatcher(None, p1.get("title", "").lower(), p2.get("title", "").lower()).ratio()
if sim > 0.85:
seen.add(key)
dup_groups.append({"type": "similarity", "similarity": round(sim, 2), "prs": [p1, p2]})
return dup_groups
def health(pr, issues):
r = refs(pr)
created = datetime.fromisoformat(pr["created_at"].replace("Z", "+00:00"))
updated = datetime.fromisoformat(pr["updated_at"].replace("Z", "+00:00"))
now = datetime.now(timezone.utc)
age_days = (now - created).days
stale_days = (now - updated).days
# Risk score: age + staleness + no refs + not mergeable
risk = 0
risk += min(age_days, 30) # max 30 for age
risk += min(stale_days * 2, 40) # max 40 for staleness
risk += 10 if not r else 0 # no issue refs
risk += 15 if pr.get("mergeable") is False else 0 # conflicts
risk = min(risk, 100)
return {
"pr": pr["number"],
"title": pr["title"],
"head": pr["head"]["ref"],
"category": categorize(pr),
"refs": r,
"open_issues": [x for x in r if x in issues],
"closed_issues": [x for x in r if x not in issues],
"age_days": age_days,
"stale_days": stale_days,
"risk_score": risk,
"mergeable": pr.get("mergeable"),
"author": pr.get("user", {}).get("login", ""),
"labels": [l.get("name", "") for l in pr.get("labels", [])],
}
def is_safe_to_merge(h):
"""Determine if a PR is safe to auto-merge."""
if h["category"] != "training-data":
return False, "not training-data"
if h["mergeable"] is False:
return False, "has conflicts"
if h["mergeable"] is None:
return False, "mergeable status unknown"
if h["stale_days"] > 30:
return False, f"too stale ({h['stale_days']}d)"
if h["risk_score"] > 50:
return False, f"risk too high ({h['risk_score']})"
return True, "safe"
def auto_merge(base, token, owner, repo, pr_num, dry_run=True):
"""Attempt to merge a PR."""
if dry_run:
return {"merged": False, "dry_run": True, "pr": pr_num}
url = f"{base}/api/v1/repos/{owner}/{repo}/pulls/{pr_num}/merge"
result = _api(url, token, method="POST", data={
"MergeTitleField": "auto",
"MergeMessageField": "auto",
"Do": "merge",
})
return {"merged": result is not None, "pr": pr_num, "result": result}
def report(repo, checks, dups):
lines = [
f"# PR Triage -- {repo}",
f"Generated: {datetime.now().strftime('%Y-%m-%d %H:%M')}",
f"Open PRs: {len(checks)}",
"",
"## Summary",
"",
]
cats = Counter(h["category"] for h in checks)
lines.append("| Category | Count |")
lines.append("|----------|-------|")
for c, n in cats.most_common():
lines.append(f"| {c} | {n} |")
stale = [h for h in checks if h["stale_days"] > 7]
high_risk = [h for h in checks if h["risk_score"] > 50]
safe_merge = [h for h in checks if is_safe_to_merge(h)[0]]
lines.extend([
"",
f"Stale (>7d): {len(stale)}",
f"High risk (>50): {len(high_risk)}",
f"Safe to merge: {len(safe_merge)}",
f"Duplicate groups: {len(dups)}",
"",
])
if safe_merge:
lines.append("## Safe to Auto-Merge")
for h in safe_merge:
ok, reason = is_safe_to_merge(h)
lines.append(f"- #{h['pr']}: {h['title'][:60]} ({reason})")
lines.append("")
if dups:
lines.append("## Duplicates")
for g in dups:
pr_nums = [str(p["number"]) for p in g["prs"]]
lines.append(f"[{g['type']}] PRs {', '.join('#' + n for n in pr_nums)}:")
for p in g["prs"]:
lines.append(f" - #{p['number']}: {p['title']}")
lines.append("")
if stale:
lines.append("## Stale (>7d)")
for h in sorted(stale, key=lambda x: x["stale_days"], reverse=True):
lines.append(f"- #{h['pr']}: {h['title'][:50]} -- {h['stale_days']}d (risk: {h['risk_score']})")
lines.append("")
lines.append("## All PRs")
lines.append("| # | Title | Category | Age | Stale | Risk | Merge |")
lines.append("|---|-------|----------|-----|-------|------|-------|")
for h in sorted(checks, key=lambda x: x["pr"]):
m = "Y" if h["mergeable"] else ("N" if h["mergeable"] is False else "?")
s = f"{h['stale_days']}d" if h["stale_days"] > 7 else "-"
lines.append(f"| {h['pr']} | {h['title'][:45]} | {h['category']} | {h['age_days']}d | {s} | {h['risk_score']} | {m} |")
return "\n".join(lines)
def main():
p = argparse.ArgumentParser(description="PR Triage Automation")
p.add_argument("--base-url", default="https://forge.alexanderwhitestone.com")
p.add_argument("--owner", default="Timmy_Foundation")
p.add_argument("--repo", default="")
p.add_argument("--all-repos", action="store_true", help="Triage all org repos")
p.add_argument("--json", action="store_true", dest="js")
p.add_argument("--output", default="")
p.add_argument("--auto-merge", action="store_true", help="Auto-merge safe PRs")
p.add_argument("--dry-run", action="store_true", help="Show what would be merged without merging")
a = p.parse_args()
token = _token()
if not token:
print("No token"); sys.exit(1)
if a.all_repos:
repos = fetch_repos(a.base_url, token, a.owner)
all_checks = []
all_dups = []
for repo in repos:
prs = fetch_prs(a.base_url, token, a.owner, repo)
issues = fetch_issues(a.base_url, token, a.owner, repo)
checks = [health(pr, issues) for pr in prs]
dups = find_duplicates(prs)
for c in checks:
c["repo"] = repo
all_checks.extend(checks)
all_dups.extend(dups)
if a.js:
print(json.dumps({"repos": repos, "prs": all_checks, "duplicates_count": len(all_dups)}, indent=2))
else:
print(f"Org-wide triage: {len(repos)} repos, {len(all_checks)} PRs, {len(all_dups)} duplicate groups")
cats = Counter(h["category"] for h in all_checks)
for c, n in cats.most_common():
print(f" {c}: {n}")
return
repo = a.repo
if not repo:
try:
remote = subprocess.check_output(["git", "remote", "get-url", "origin"], text=True).strip()
m = re.search(r"[/:](\w[\w-]*)/(\w[\w-]*?)(?:\.git)?$", remote)
if m:
a.owner, repo = m.group(1), m.group(2)
except Exception:
pass
if not repo:
print("No repo specified"); sys.exit(1)
print(f"Triaging {a.owner}/{repo}...", file=sys.stderr)
prs = fetch_prs(a.base_url, token, a.owner, repo)
issues = fetch_issues(a.base_url, token, a.owner, repo)
checks = [health(pr, issues) for pr in prs]
dups = find_duplicates(prs)
# Auto-merge
merge_results = []
if a.auto_merge or a.dry_run:
safe = [h for h in checks if is_safe_to_merge(h)[0]]
if safe:
print(f"Auto-merge: {len(safe)} safe PRs ({'dry-run' if a.dry_run else 'live'})", file=sys.stderr)
for h in safe:
result = auto_merge(a.base_url, token, a.owner, repo, h["pr"], dry_run=a.dry_run)
merge_results.append(result)
status = "WOULD MERGE" if a.dry_run else ("MERGED" if result["merged"] else "FAILED")
print(f" #{h['pr']}: {status}", file=sys.stderr)
if a.js:
out = {
"repo": repo, "prs": checks,
"duplicates": [{"type": g["type"], "prs": [p["number"] for p in g["prs"]]} for g in dups],
"merge_results": merge_results,
}
print(json.dumps(out, indent=2))
else:
r = report(repo, checks, dups)
print(r)
if a.output:
with open(a.output, "w") as f:
f.write(r)
print(f"\n{len(checks)} PRs, {len(dups)} duplicate groups, {len(merge_results)} merges",
file=sys.stderr)
if __name__ == "__main__":
main()

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"""Tests for PR triage automation (#659)."""
from __future__ import annotations
import pytest
from datetime import datetime, timezone, timedelta
from scripts.pr_triage import categorize, refs, find_duplicates, health, is_safe_to_merge
class TestCategorize:
"""PR categorization from title/body/labels."""
def test_training_data(self):
pr = {"title": "Add DPO training data", "body": "", "labels": []}
assert categorize(pr) == "training-data"
def test_bug_fix(self):
pr = {"title": "fix: resolve crash on startup", "body": "", "labels": []}
assert categorize(pr) == "bug-fix"
def test_feature(self):
pr = {"title": "feat: add dark mode", "body": "", "labels": []}
assert categorize(pr) == "feature"
def test_maintenance(self):
pr = {"title": "refactor: simplify auth flow", "body": "", "labels": []}
assert categorize(pr) == "maintenance"
def test_other(self):
pr = {"title": "Update readme", "body": "", "labels": []}
assert categorize(pr) == "other"
class TestRefs:
"""Issue reference extraction."""
def test_extracts_from_title(self):
pr = {"title": "fix: resolve #123", "body": ""}
assert refs(pr) == [123]
def test_extracts_from_body(self):
pr = {"title": "Fix", "body": "Closes #456, refs #789"}
assert refs(pr) == [456, 789]
def test_no_refs(self):
pr = {"title": "Fix", "body": "No issue refs"}
assert refs(pr) == []
def test_multiple_refs(self):
pr = {"title": "#1 and #2", "body": "Also #3"}
assert refs(pr) == [1, 2, 3]
class TestFindDuplicates:
"""Duplicate PR detection."""
def test_ref_based_duplicates(self):
prs = [
{"number": 1, "title": "Fix #100", "body": "Closes #100"},
{"number": 2, "title": "Fix #100 too", "body": "Closes #100"},
]
dups = find_duplicates(prs)
assert len(dups) == 1
assert dups[0]["type"] == "ref"
def test_title_similarity_duplicates(self):
prs = [
{"number": 1, "title": "feat: add dark mode support", "body": ""},
{"number": 2, "title": "feat: add dark mode support", "body": "different body"},
]
dups = find_duplicates(prs)
assert len(dups) >= 1
assert any(d["type"] == "similarity" for d in dups)
def test_no_duplicates(self):
prs = [
{"number": 1, "title": "Fix auth bug", "body": "Closes #100"},
{"number": 2, "title": "Add dark mode", "body": "Closes #200"},
]
dups = find_duplicates(prs)
assert len(dups) == 0
class TestHealth:
"""PR health assessment."""
def _make_pr(self, **overrides):
now = datetime.now(timezone.utc).isoformat()
pr = {
"number": 1,
"title": "test",
"body": "Closes #100",
"created_at": now,
"updated_at": now,
"head": {"ref": "fix/test"},
"mergeable": True,
"user": {"login": "agent"},
"labels": [],
}
pr.update(overrides)
return pr
def test_basic_health(self):
pr = self._make_pr()
h = health(pr, {100: {"number": 100}})
assert h["pr"] == 1
assert h["refs"] == [100]
assert h["open_issues"] == [100]
assert h["age_days"] == 0
def test_stale_detection(self):
old = (datetime.now(timezone.utc) - timedelta(days=30)).isoformat()
pr = self._make_pr(created_at=old, updated_at=old)
h = health(pr, {})
assert h["stale_days"] >= 29
assert h["risk_score"] > 30
class TestIsSafeToMerge:
"""Auto-merge safety checks."""
def _make_health(self, **overrides):
h = {
"pr": 1, "title": "test", "head": "fix/test",
"category": "training-data", "refs": [100],
"open_issues": [100], "closed_issues": [],
"age_days": 1, "stale_days": 1,
"risk_score": 10, "mergeable": True,
"author": "agent", "labels": [],
}
h.update(overrides)
return h
def test_safe_training_data(self):
h = self._make_health()
ok, reason = is_safe_to_merge(h)
assert ok
def test_unsafe_not_training(self):
h = self._make_health(category="bug-fix")
ok, reason = is_safe_to_merge(h)
assert not ok
assert "not training-data" in reason
def test_unsafe_conflicts(self):
h = self._make_health(mergeable=False)
ok, reason = is_safe_to_merge(h)
assert not ok
assert "conflicts" in reason
def test_unsafe_too_stale(self):
h = self._make_health(stale_days=31)
ok, reason = is_safe_to_merge(h)
assert not ok
assert "stale" in reason
def test_unsafe_high_risk(self):
h = self._make_health(risk_score=60)
ok, reason = is_safe_to_merge(h)
assert not ok
assert "risk" in reason