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Author SHA1 Message Date
Alexander Whitestone
f2e1366795 WIP: Gemini Code progress on #1014
Automated salvage commit — agent session ended (exit 124).
Work in progress, may need continuation.
2026-03-23 22:24:10 -04:00
Alexander Whitestone
15fee6bef2 feat: add button to update ollama models
Adds a button to the models page to trigger an update of the
local Ollama models.

Refs #1014
2026-03-23 22:17:28 -04:00
Alexander Whitestone
b6f8f7d67b WIP: Gemini Code progress on #1014
Some checks failed
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Automated salvage commit — agent session ended (exit 124).
Work in progress, may need continuation.
2026-03-23 14:37:31 -04:00
13 changed files with 203 additions and 1497 deletions

75
scripts/update_ollama_models.py Executable file
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@@ -0,0 +1,75 @@
import subprocess
import json
import os
import glob
def get_models_from_modelfiles():
models = set()
modelfiles = glob.glob("Modelfile.*")
for modelfile in modelfiles:
with open(modelfile, 'r') as f:
for line in f:
if line.strip().startswith("FROM"):
parts = line.strip().split()
if len(parts) > 1:
model_name = parts[1]
# Only consider models that are not local file paths
if not model_name.startswith('/') and not model_name.startswith('~') and not model_name.endswith('.gguf'):
models.add(model_name)
break # Only take the first FROM in each Modelfile
return sorted(list(models))
def update_ollama_model(model_name):
print(f"Checking for updates for model: {model_name}")
try:
# Run ollama pull command
process = subprocess.run(
["ollama", "pull", model_name],
capture_output=True,
text=True,
check=True,
timeout=900 # 15 minutes
)
output = process.stdout
print(f"Output for {model_name}:\n{output}")
# Basic check to see if an update happened.
# Ollama pull output will contain "pulling" or "downloading" if an update is in progress
# and "success" if it completed. If the model is already up to date, it says "already up to date".
if "pulling" in output or "downloading" in output:
print(f"Model {model_name} was updated.")
return True
elif "already up to date" in output:
print(f"Model {model_name} is already up to date.")
return False
else:
print(f"Unexpected output for {model_name}, assuming no update: {output}")
return False
except subprocess.CalledProcessError as e:
print(f"Error updating model {model_name}: {e}")
print(f"Stderr: {e.stderr}")
return False
except FileNotFoundError:
print("Error: 'ollama' command not found. Please ensure Ollama is installed and in your PATH.")
return False
def main():
models_to_update = get_models_from_modelfiles()
print(f"Identified models to check for updates: {models_to_update}")
updated_models = []
for model in models_to_update:
if update_ollama_model(model):
updated_models.append(model)
if updated_models:
print("\nSuccessfully updated the following models:")
for model in updated_models:
print(f"- {model}")
else:
print("\nNo models were updated.")
if __name__ == "__main__":
main()

View File

@@ -304,16 +304,6 @@ class Settings(BaseSettings):
mcp_timeout: int = 15
mcp_bridge_timeout: int = 60 # HTTP timeout for MCP bridge Ollama calls (seconds)
# ── Backlog Triage Loop ────────────────────────────────────────────
# Autonomous loop: fetch open issues, score, assign to agents.
backlog_triage_enabled: bool = False
# Seconds between triage cycles (default: 15 minutes).
backlog_triage_interval_seconds: int = 900
# When True, score and summarize but don't write to Gitea.
backlog_triage_dry_run: bool = False
# Create a daily triage summary issue/comment.
backlog_triage_daily_summary: bool = True
# ── Loop QA (Self-Testing) ─────────────────────────────────────────
# Self-test orchestrator that probes capabilities alongside the thinking loop.
loop_qa_enabled: bool = True

View File

@@ -5,6 +5,7 @@ to swarm agents. Inspired by OpenClaw-RL's multi-model orchestration.
"""
import logging
import subprocess
from pathlib import Path
from typing import Any
@@ -59,6 +60,23 @@ class SetActiveRequest(BaseModel):
# ── API endpoints ─────────────────────────────────────────────────────────────
@api_router.post("/update-ollama")
async def update_ollama_models():
"""Trigger the Ollama model update script."""
logger.info("Ollama model update triggered")
script_path = Path(__file__).parent.parent.parent.parent / "scripts" / "update_ollama_models.py"
try:
subprocess.Popen(
["python", str(script_path)],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
)
return {"message": "Ollama model update started in the background."}
except Exception as e:
logger.error(f"Failed to start Ollama model update: {e}")
raise HTTPException(status_code=500, detail="Failed to start model update script.") from e
@api_router.get("")
async def list_models(role: str | None = None) -> dict[str, Any]:
"""List all registered custom models."""

View File

@@ -53,7 +53,12 @@
<!-- Registered Models -->
<div class="mc-section" style="margin-top: 1.5rem;">
<h2>Registered Models</h2>
<div style="display: flex; justify-content: space-between; align-items: center;">
<h2>Registered Models</h2>
<button class="mc-btn" hx-post="/api/v1/models/update-ollama" hx-swap="none">
Update Ollama Models
</button>
</div>
{% if models %}
<table class="mc-table">
<thead>

View File

@@ -1,759 +0,0 @@
"""Autonomous backlog triage loop — Timmy scans Gitea and assigns work.
Continuously fetches open issues, scores/prioritizes them, and decides
what to work on next without waiting to be asked.
Loop flow::
while true:
1. Fetch all open issues from Gitea API
2. Score/prioritize by labels, age, type, blocked status
3. Identify unassigned high-priority items
4. Decide: assign to claude, dispatch to kimi, or flag for Alex
5. Execute the assignment (comment + assign)
6. Optionally post a daily triage summary
7. Sleep for configurable interval (default 15 min)
Priority tiers:
P0 — security, data loss, blocking bugs → immediate action
P1 — core functionality, ready issues → next sprint
P2 — improvements, low-score issues → backlog
P3 — philosophy, meta → someday/never (skip in triage)
Usage::
from timmy.backlog_triage import BacklogTriageLoop
loop = BacklogTriageLoop()
await loop.run_once() # single triage cycle
await loop.start() # background daemon loop
loop.stop() # graceful shutdown
"""
from __future__ import annotations
import asyncio
import logging
import re
from dataclasses import dataclass, field
from datetime import UTC, datetime, timedelta
from typing import Any
import httpx
from config import settings
logger = logging.getLogger(__name__)
# ── Constants ────────────────────────────────────────────────────────────────
# Minimum triage score to be considered "ready" for assignment
READY_THRESHOLD = 5
# Agent Gitea logins
AGENT_CLAUDE = "claude"
AGENT_KIMI = "kimi"
OWNER_LOGIN = "rockachopa" # Alex — human owner
# Labels
KIMI_READY_LABEL = "kimi-ready"
TRIAGE_DONE_LABEL = "triage-done"
# Tag sets (mirrors scripts/triage_score.py)
_BUG_TAGS = frozenset({"bug", "broken", "crash", "error", "fix", "regression", "hotfix"})
_FEATURE_TAGS = frozenset({"feature", "feat", "enhancement", "capability", "timmy-capability"})
_REFACTOR_TAGS = frozenset({"refactor", "cleanup", "tech-debt", "optimization", "perf"})
_META_TAGS = frozenset({"philosophy", "soul-gap", "discussion", "question", "rfc"})
_P0_TAGS = frozenset({"security", "data-loss", "blocking", "p0", "critical"})
_RESEARCH_TAGS = frozenset({"research", "kimi-ready", "investigation", "spike"})
_LOOP_TAG = "loop-generated"
# Regex patterns for scoring
_TAG_RE = re.compile(r"\[([^\]]+)\]")
_FILE_RE = re.compile(r"(?:src/|tests/|scripts/|\.py|\.html|\.js|\.yaml|\.toml|\.sh)", re.IGNORECASE)
_FUNC_RE = re.compile(r"(?:def |class |function |method |`\w+\(\)`)", re.IGNORECASE)
_ACCEPT_RE = re.compile(
r"(?:should|must|expect|verify|assert|test.?case|acceptance|criteria"
r"|pass(?:es|ing)|fail(?:s|ing)|return(?:s)?|raise(?:s)?)",
re.IGNORECASE,
)
_TEST_RE = re.compile(r"(?:tox|pytest|test_\w+|\.test\.|assert\s)", re.IGNORECASE)
_BLOCKED_RE = re.compile(r"\bblock(?:ed|s|ing)\b", re.IGNORECASE)
# ── Data types ───────────────────────────────────────────────────────────────
@dataclass
class ScoredIssue:
"""A Gitea issue enriched with triage scoring."""
number: int
title: str
body: str
labels: list[str]
tags: set[str]
assignees: list[str]
created_at: datetime
issue_type: str # bug | feature | refactor | philosophy | research | unknown
score: int = 0
scope: int = 0
acceptance: int = 0
alignment: int = 0
ready: bool = False
age_days: int = 0
is_p0: bool = False
is_blocked: bool = False
@property
def is_unassigned(self) -> bool:
return len(self.assignees) == 0
@property
def needs_kimi(self) -> bool:
return bool(self.tags & _RESEARCH_TAGS) or KIMI_READY_LABEL in self.labels
@dataclass
class TriageDecision:
"""The outcome of a triage decision for a single issue."""
issue_number: int
action: str # "assign_claude" | "assign_kimi" | "flag_alex" | "skip"
reason: str
agent: str = "" # the agent assigned (login)
executed: bool = False
error: str = ""
@dataclass
class TriageCycleResult:
"""Summary of one complete triage cycle."""
timestamp: str
total_open: int
scored: int
ready: int
decisions: list[TriageDecision] = field(default_factory=list)
errors: list[str] = field(default_factory=list)
duration_ms: int = 0
# ── Scoring ──────────────────────────────────────────────────────────────────
def _extract_tags(title: str, labels: list[str]) -> set[str]:
"""Pull tags from [bracket] title notation + Gitea label names."""
tags: set[str] = set()
for m in _TAG_RE.finditer(title):
tags.add(m.group(1).lower().strip())
for lbl in labels:
tags.add(lbl.lower().strip())
return tags
def _score_scope(title: str, body: str, tags: set[str]) -> int:
"""03: How well-scoped is this issue?"""
text = f"{title}\n{body}"
score = 0
if _FILE_RE.search(text):
score += 1
if _FUNC_RE.search(text):
score += 1
clean = _TAG_RE.sub("", title).strip()
if len(clean) < 80:
score += 1
if tags & _META_TAGS:
score = max(0, score - 2)
return min(3, score)
def _score_acceptance(title: str, body: str, tags: set[str]) -> int:
"""03: Does this have clear acceptance criteria?"""
text = f"{title}\n{body}"
score = 0
matches = len(_ACCEPT_RE.findall(text))
if matches >= 3:
score += 2
elif matches >= 1:
score += 1
if _TEST_RE.search(text):
score += 1
if re.search(r"##\s*(problem|solution|expected|actual|steps)", body, re.IGNORECASE):
score += 1
if tags & _META_TAGS:
score = max(0, score - 1)
return min(3, score)
def _score_alignment(title: str, body: str, tags: set[str]) -> int:
"""03: How aligned is this with the north star?"""
score = 0
if tags & _BUG_TAGS:
return 3
if tags & _REFACTOR_TAGS:
score += 2
if tags & _FEATURE_TAGS:
score += 2
if _LOOP_TAG in tags:
score += 1
if tags & _META_TAGS:
score = 0
return min(3, score)
def score_issue(issue: dict[str, Any]) -> ScoredIssue:
"""Score and classify a raw Gitea issue dict."""
number = issue["number"]
title = issue.get("title", "")
body = issue.get("body") or ""
label_names = [lbl["name"] for lbl in issue.get("labels", [])]
tags = _extract_tags(title, label_names)
assignees = [a["login"] for a in issue.get("assignees", [])]
# Parse created_at
raw_ts = issue.get("created_at", "")
try:
created_at = datetime.fromisoformat(raw_ts.replace("Z", "+00:00"))
except (ValueError, AttributeError):
created_at = datetime.now(UTC)
age_days = (datetime.now(UTC) - created_at).days
# Scores
scope = _score_scope(title, body, tags)
acceptance = _score_acceptance(title, body, tags)
alignment = _score_alignment(title, body, tags)
total = scope + acceptance + alignment
# Classify
if tags & _BUG_TAGS:
issue_type = "bug"
elif tags & _RESEARCH_TAGS:
issue_type = "research"
elif tags & _FEATURE_TAGS:
issue_type = "feature"
elif tags & _REFACTOR_TAGS:
issue_type = "refactor"
elif tags & _META_TAGS:
issue_type = "philosophy"
else:
issue_type = "unknown"
is_p0 = bool(tags & _P0_TAGS) or issue_type == "bug"
is_blocked = bool(_BLOCKED_RE.search(title) or _BLOCKED_RE.search(body))
return ScoredIssue(
number=number,
title=_TAG_RE.sub("", title).strip(),
body=body,
labels=label_names,
tags=tags,
assignees=assignees,
created_at=created_at,
issue_type=issue_type,
score=total,
scope=scope,
acceptance=acceptance,
alignment=alignment,
ready=total >= READY_THRESHOLD,
age_days=age_days,
is_p0=is_p0,
is_blocked=is_blocked,
)
# ── Decision logic ───────────────────────────────────────────────────────────
def decide(issue: ScoredIssue) -> TriageDecision:
"""Decide what to do with an issue.
Returns a TriageDecision with action, reason, and agent.
Decision is not yet executed — call execute_decision() for that.
"""
num = issue.number
# Skip philosophy/meta — not dev-actionable
if issue.issue_type == "philosophy":
return TriageDecision(
issue_number=num,
action="skip",
reason="Philosophy/meta issue — not dev-actionable in the triage loop.",
)
# Skip already-assigned issues
if not issue.is_unassigned:
return TriageDecision(
issue_number=num,
action="skip",
reason=f"Already assigned to: {', '.join(issue.assignees)}.",
)
# Skip if not ready (low score)
if not issue.ready:
return TriageDecision(
issue_number=num,
action="skip",
reason=f"Score {issue.score} < {READY_THRESHOLD} threshold — needs more detail before assignment.",
)
# Blocked: flag for Alex
if issue.is_blocked:
return TriageDecision(
issue_number=num,
action="flag_alex",
agent=OWNER_LOGIN,
reason=(
"Issue appears blocked. Flagging for @rockachopa to unblock before autonomous assignment."
),
)
# Research / Kimi-ready
if issue.needs_kimi:
return TriageDecision(
issue_number=num,
action="assign_kimi",
agent=AGENT_KIMI,
reason=(
f"Issue type '{issue.issue_type}' with research/investigation scope. "
f"Assigning kimi-ready label for Kimi agent to pick up."
),
)
# P0 bugs and blocking issues → Claude immediately
if issue.is_p0:
return TriageDecision(
issue_number=num,
action="assign_claude",
agent=AGENT_CLAUDE,
reason=(
f"P0/{issue.issue_type} issue (score={issue.score}, age={issue.age_days}d). "
f"Assigning to Claude Code for immediate attention."
),
)
# Everything else that is ready → Claude Code
return TriageDecision(
issue_number=num,
action="assign_claude",
agent=AGENT_CLAUDE,
reason=(
f"Unassigned ready issue (type={issue.issue_type}, score={issue.score}, "
f"age={issue.age_days}d). Assigning to Claude Code."
),
)
# ── Gitea API client ─────────────────────────────────────────────────────────
def _api_headers() -> dict[str, str]:
return {
"Authorization": f"token {settings.gitea_token}",
"Content-Type": "application/json",
"Accept": "application/json",
}
def _repo_url(path: str) -> str:
owner, repo = settings.gitea_repo.split("/", 1)
return f"{settings.gitea_url}/api/v1/repos/{owner}/{repo}/{path}"
async def fetch_open_issues(client: httpx.AsyncClient) -> list[dict[str, Any]]:
"""Fetch all open issues from Gitea, paginating as needed."""
all_issues: list[dict[str, Any]] = []
page = 1
while True:
url = _repo_url(f"issues?state=open&type=issues&limit=50&page={page}")
try:
resp = await client.get(url, headers=_api_headers())
if resp.status_code != 200:
logger.warning("Gitea issues fetch failed (HTTP %s)", resp.status_code)
break
batch: list[dict[str, Any]] = resp.json()
if not batch:
break
all_issues.extend(batch)
if len(batch) < 50:
break
page += 1
except (httpx.ConnectError, httpx.ReadError, httpx.TimeoutException) as exc:
logger.warning("Gitea connection error fetching issues: %s", exc)
break
return all_issues
async def post_comment(
client: httpx.AsyncClient,
issue_number: int,
body: str,
) -> bool:
"""Post a comment on a Gitea issue. Returns True on success."""
url = _repo_url(f"issues/{issue_number}/comments")
try:
resp = await client.post(url, headers=_api_headers(), json={"body": body})
return resp.status_code in (200, 201)
except (httpx.ConnectError, httpx.ReadError, httpx.TimeoutException) as exc:
logger.warning("Failed to post comment on #%d: %s", issue_number, exc)
return False
async def assign_issue(
client: httpx.AsyncClient,
issue_number: int,
assignee: str,
) -> bool:
"""Assign an issue to a Gitea user. Returns True on success."""
url = _repo_url(f"issues/{issue_number}")
try:
resp = await client.patch(
url,
headers=_api_headers(),
json={"assignees": [assignee]},
)
return resp.status_code in (200, 201)
except (httpx.ConnectError, httpx.ReadError, httpx.TimeoutException) as exc:
logger.warning("Failed to assign #%d to %s: %s", issue_number, assignee, exc)
return False
async def add_label(
client: httpx.AsyncClient,
issue_number: int,
label_name: str,
) -> bool:
"""Add a label to a Gitea issue by name (auto-creates if missing). Returns True on success."""
owner, repo = settings.gitea_repo.split("/", 1)
labels_url = f"{settings.gitea_url}/api/v1/repos/{owner}/{repo}/labels"
headers = _api_headers()
try:
# Fetch existing labels
resp = await client.get(labels_url, headers=headers)
if resp.status_code != 200:
return False
existing = {lbl["name"]: lbl["id"] for lbl in resp.json()}
if label_name in existing:
label_id = existing[label_name]
else:
# Auto-create the label
create_resp = await client.post(
labels_url,
headers=headers,
json={"name": label_name, "color": "#006b75"},
)
if create_resp.status_code not in (200, 201):
return False
label_id = create_resp.json()["id"]
# Apply to the issue
apply_url = _repo_url(f"issues/{issue_number}/labels")
apply_resp = await client.post(
apply_url, headers=headers, json={"labels": [label_id]}
)
return apply_resp.status_code in (200, 201)
except (httpx.ConnectError, httpx.ReadError, httpx.TimeoutException) as exc:
logger.warning("Failed to add label %r to #%d: %s", label_name, issue_number, exc)
return False
# ── Decision execution ───────────────────────────────────────────────────────
async def execute_decision(
client: httpx.AsyncClient,
decision: TriageDecision,
dry_run: bool = False,
) -> TriageDecision:
"""Execute a triage decision — comment + assign/label.
When dry_run=True, logs the decision but makes no Gitea API calls.
Returns the updated decision with executed=True on success.
"""
num = decision.issue_number
if decision.action == "skip":
logger.debug("Triage skip #%d: %s", num, decision.reason)
decision.executed = True
return decision
audit_comment = _build_audit_comment(decision)
if dry_run:
logger.info(
"[DRY RUN] #%d%s (%s): %s",
num,
decision.action,
decision.agent,
decision.reason,
)
decision.executed = True
return decision
# Post audit comment first (always, so Alex can see reasoning)
comment_ok = await post_comment(client, num, audit_comment)
if not comment_ok:
decision.error = "Failed to post audit comment"
logger.warning("Triage #%d: comment failed", num)
return decision
# Execute assignment
ok = False
if decision.action == "assign_claude":
ok = await assign_issue(client, num, AGENT_CLAUDE)
elif decision.action == "assign_kimi":
ok = await add_label(client, num, KIMI_READY_LABEL)
elif decision.action == "flag_alex":
# Comment already posted above — that's sufficient for flagging
ok = True
if ok:
decision.executed = True
logger.info("Triage #%d%s OK", num, decision.action)
else:
decision.error = f"Action {decision.action!r} failed"
logger.warning("Triage #%d: action %r failed", num, decision.action)
return decision
def _build_audit_comment(decision: TriageDecision) -> str:
"""Build the audit trail comment that Alex can read to see reasoning."""
ts = datetime.now(UTC).strftime("%Y-%m-%d %H:%M UTC")
action_text = {
"assign_claude": f"Assigning to @{AGENT_CLAUDE} for implementation.",
"assign_kimi": f"Adding `{KIMI_READY_LABEL}` label — queuing for Kimi research agent.",
"flag_alex": f"Flagging for @{OWNER_LOGIN} — issue appears blocked or needs human decision.",
}.get(decision.action, decision.action)
return (
f"**[Timmy Triage — {ts}]**\n\n"
f"**Decision:** {action_text}\n\n"
f"**Why:** {decision.reason}\n\n"
f"*Autonomous triage by Timmy. Reply to override.*"
)
# ── Daily summary ─────────────────────────────────────────────────────────────
def _build_daily_summary(result: TriageCycleResult, scored: list[ScoredIssue]) -> str:
"""Build the daily triage summary body."""
now = datetime.now(UTC).strftime("%Y-%m-%d %H:%M UTC")
assigned = [d for d in result.decisions if d.executed and d.action != "skip"]
skipped = [d for d in result.decisions if d.action == "skip"]
lines = [
f"# Timmy Backlog Triage — {now}",
"",
f"**Open issues:** {result.total_open} | "
f"**Scored:** {result.scored} | "
f"**Ready:** {result.ready} | "
f"**Assigned this cycle:** {len(assigned)}",
"",
"## Top 10 Ready Issues (by score)",
"",
]
top = sorted([s for s in scored if s.ready], key=lambda s: (-s.score, s.number))[:10]
for s in top:
flag = "🐛" if s.issue_type == "bug" else "" if s.is_p0 else ""
lines.append(
f"- {flag} **#{s.number}** (score={s.score}, age={s.age_days}d) — {s.title[:80]}"
)
if assigned:
lines += ["", "## Actions Taken", ""]
for d in assigned:
lines.append(f"- #{d.issue_number} → `{d.action}` ({d.agent}): {d.reason[:100]}")
if skipped:
lines += ["", f"## Skipped ({len(skipped)} issues)", ""]
for d in skipped[:5]:
lines.append(f"- #{d.issue_number}: {d.reason[:80]}")
if len(skipped) > 5:
lines.append(f"- … and {len(skipped) - 5} more")
lines += [
"",
"---",
"*Auto-generated by Timmy's backlog triage loop. "
"Override any decision by reassigning or commenting.*",
]
return "\n".join(lines)
async def post_daily_summary(
client: httpx.AsyncClient,
result: TriageCycleResult,
scored: list[ScoredIssue],
dry_run: bool = False,
) -> bool:
"""Post a daily triage summary as a new Gitea issue."""
today = datetime.now(UTC).strftime("%Y-%m-%d")
title = f"[Triage] Daily backlog summary — {today}"
body = _build_daily_summary(result, scored)
if dry_run:
logger.info("[DRY RUN] Would post daily summary: %s", title)
return True
url = _repo_url("issues")
try:
resp = await client.post(
url,
headers=_api_headers(),
json={
"title": title,
"body": body,
"labels": [],
},
)
if resp.status_code in (200, 201):
issue_num = resp.json().get("number", "?")
logger.info("Daily triage summary posted as issue #%s", issue_num)
return True
logger.warning("Daily summary post failed (HTTP %s)", resp.status_code)
return False
except (httpx.ConnectError, httpx.ReadError, httpx.TimeoutException) as exc:
logger.warning("Failed to post daily summary: %s", exc)
return False
# ── Main loop class ───────────────────────────────────────────────────────────
class BacklogTriageLoop:
"""Autonomous backlog triage loop.
Fetches, scores, and assigns Gitea issues on a configurable interval.
Parameters
----------
interval:
Seconds between triage cycles. Default: settings.backlog_triage_interval_seconds.
dry_run:
When True, score and log decisions but don't write to Gitea.
daily_summary:
When True, post a daily triage summary issue after each cycle.
"""
def __init__(
self,
*,
interval: float | None = None,
dry_run: bool | None = None,
daily_summary: bool | None = None,
) -> None:
self._interval = float(interval or settings.backlog_triage_interval_seconds)
self._dry_run = dry_run if dry_run is not None else settings.backlog_triage_dry_run
self._daily_summary = (
daily_summary if daily_summary is not None else settings.backlog_triage_daily_summary
)
self._running = False
self._task: asyncio.Task | None = None
self._cycle_count = 0
self._last_summary_date: str = ""
self.history: list[TriageCycleResult] = []
@property
def is_running(self) -> bool:
return self._running
@property
def cycle_count(self) -> int:
return self._cycle_count
async def run_once(self) -> TriageCycleResult:
"""Execute one full triage cycle.
1. Fetch all open Gitea issues
2. Score and prioritize
3. Decide on each unassigned ready issue
4. Execute decisions
5. Optionally post daily summary
"""
import time
self._cycle_count += 1
start = time.monotonic()
ts = datetime.now(UTC).isoformat()
result = TriageCycleResult(timestamp=ts, total_open=0, scored=0, ready=0)
if not settings.gitea_enabled or not settings.gitea_token:
logger.warning("Backlog triage: Gitea not configured — skipping cycle")
return result
async with httpx.AsyncClient(timeout=30) as client:
# 1. Fetch
raw_issues = await fetch_open_issues(client)
result.total_open = len(raw_issues)
logger.info("Triage cycle #%d: fetched %d open issues", self._cycle_count, len(raw_issues))
# 2. Score
scored = [score_issue(i) for i in raw_issues]
result.scored = len(scored)
result.ready = sum(1 for s in scored if s.ready)
# 3 & 4. Decide and execute for each issue
for issue in scored:
decision = decide(issue)
if decision.action == "skip":
result.decisions.append(decision)
continue
decision = await execute_decision(client, decision, dry_run=self._dry_run)
result.decisions.append(decision)
# Rate-limit: short pause between API writes to avoid hammering Gitea
if not self._dry_run:
await asyncio.sleep(0.5)
# 5. Daily summary (once per UTC day)
today = datetime.now(UTC).strftime("%Y-%m-%d")
if self._daily_summary and today != self._last_summary_date:
await post_daily_summary(client, result, scored, dry_run=self._dry_run)
self._last_summary_date = today
result.duration_ms = int((time.monotonic() - start) * 1000)
self.history.append(result)
assigned_count = sum(1 for d in result.decisions if d.executed and d.action != "skip")
logger.info(
"Triage cycle #%d complete (%d ms): %d open, %d ready, %d assigned",
self._cycle_count,
result.duration_ms,
result.total_open,
result.ready,
assigned_count,
)
return result
async def start(self) -> None:
"""Start the triage loop as a background task."""
if self._running:
logger.warning("BacklogTriageLoop already running")
return
self._running = True
await self._loop()
async def _loop(self) -> None:
logger.info(
"BacklogTriageLoop started (interval=%.0fs, dry_run=%s)",
self._interval,
self._dry_run,
)
while self._running:
try:
await self.run_once()
except Exception:
logger.exception("Backlog triage cycle failed")
await asyncio.sleep(self._interval)
def stop(self) -> None:
"""Signal the loop to stop after the current cycle."""
self._running = False
logger.info("BacklogTriageLoop stop requested")

View File

@@ -399,74 +399,6 @@ class MCPBridge:
logger.warning("Tool '%s' execution failed: %s", name, exc)
return f"Error executing {name}: {exc}"
@staticmethod
def _build_initial_messages(
prompt: str, system_prompt: str | None
) -> list[dict]:
"""Build the initial message list for a run."""
messages: list[dict] = []
if system_prompt:
messages.append({"role": "system", "content": system_prompt})
messages.append({"role": "user", "content": prompt})
return messages
async def _process_round_tool_calls(
self,
messages: list[dict],
model_tool_calls: list[dict],
rounds: int,
tool_calls_made: list[dict],
) -> None:
"""Execute all tool calls in one round, appending results to messages."""
for tc in model_tool_calls:
func = tc.get("function", {})
tool_name = func.get("name", "unknown")
tool_args = func.get("arguments", {})
logger.info(
"Bridge tool call [round %d]: %s(%s)",
rounds,
tool_name,
tool_args,
)
result = await self._execute_tool_call(tc)
tool_calls_made.append(
{
"round": rounds,
"tool": tool_name,
"arguments": tool_args,
"result": result[:500], # Truncate for logging
}
)
messages.append({"role": "tool", "content": result})
async def _run_tool_loop(
self, messages: list[dict], tools: list[dict]
) -> tuple[str, list[dict], int, str]:
"""Run the tool-call loop until final response or max rounds reached.
Returns:
Tuple of (content, tool_calls_made, rounds, error).
"""
tool_calls_made: list[dict] = []
rounds = 0
for round_num in range(self.max_rounds):
rounds = round_num + 1
response = await self._chat(messages, tools)
msg = response.get("message", {})
model_tool_calls = msg.get("tool_calls", [])
if not model_tool_calls:
return msg.get("content", ""), tool_calls_made, rounds, ""
messages.append(msg)
await self._process_round_tool_calls(
messages, model_tool_calls, rounds, tool_calls_made
)
error = f"Exceeded maximum of {self.max_rounds} tool-call rounds"
return "(max tool-call rounds reached)", tool_calls_made, rounds, error
async def run(
self,
prompt: str,
@@ -487,37 +419,115 @@ class MCPBridge:
BridgeResult with the final response and tool call history.
"""
start = time.time()
messages = self._build_initial_messages(prompt, system_prompt)
messages: list[dict] = []
if system_prompt:
messages.append({"role": "system", "content": system_prompt})
messages.append({"role": "user", "content": prompt})
tools = self._build_ollama_tools()
tool_calls_made: list[dict] = []
rounds = 0
error_msg = ""
try:
content, tool_calls_made, rounds, error_msg = await self._run_tool_loop(
messages, tools
)
except httpx.ConnectError as exc:
logger.warning("Ollama connection failed: %s", exc)
error_msg = f"Ollama connection failed: {exc}"
content = ""
except httpx.HTTPStatusError as exc:
logger.warning("Ollama HTTP error: %s", exc)
error_msg = f"Ollama HTTP error: {exc.response.status_code}"
content = ""
except Exception as exc:
logger.error("MCPBridge run failed: %s", exc)
error_msg = str(exc)
content = ""
for round_num in range(self.max_rounds):
rounds = round_num + 1
response = await self._chat(messages, tools)
msg = response.get("message", {})
return BridgeResult(
content=content,
tool_calls_made=tool_calls_made,
rounds=rounds,
latency_ms=(time.time() - start) * 1000,
model=self.model,
error=error_msg,
)
# Check if model made tool calls
model_tool_calls = msg.get("tool_calls", [])
if not model_tool_calls:
# Final text response — done.
content = msg.get("content", "")
latency = (time.time() - start) * 1000
return BridgeResult(
content=content,
tool_calls_made=tool_calls_made,
rounds=rounds,
latency_ms=latency,
model=self.model,
)
# Append the assistant message (with tool_calls) to history
messages.append(msg)
# Execute each tool call and add results
for tc in model_tool_calls:
func = tc.get("function", {})
tool_name = func.get("name", "unknown")
tool_args = func.get("arguments", {})
logger.info(
"Bridge tool call [round %d]: %s(%s)",
rounds,
tool_name,
tool_args,
)
result = await self._execute_tool_call(tc)
tool_calls_made.append(
{
"round": rounds,
"tool": tool_name,
"arguments": tool_args,
"result": result[:500], # Truncate for logging
}
)
# Add tool result to message history
messages.append(
{
"role": "tool",
"content": result,
}
)
# Hit max rounds
latency = (time.time() - start) * 1000
return BridgeResult(
content="(max tool-call rounds reached)",
tool_calls_made=tool_calls_made,
rounds=rounds,
latency_ms=latency,
model=self.model,
error=f"Exceeded maximum of {self.max_rounds} tool-call rounds",
)
except httpx.ConnectError as exc:
latency = (time.time() - start) * 1000
logger.warning("Ollama connection failed: %s", exc)
return BridgeResult(
content="",
tool_calls_made=tool_calls_made,
rounds=rounds,
latency_ms=latency,
model=self.model,
error=f"Ollama connection failed: {exc}",
)
except httpx.HTTPStatusError as exc:
latency = (time.time() - start) * 1000
logger.warning("Ollama HTTP error: %s", exc)
return BridgeResult(
content="",
tool_calls_made=tool_calls_made,
rounds=rounds,
latency_ms=latency,
model=self.model,
error=f"Ollama HTTP error: {exc.response.status_code}",
)
except Exception as exc:
latency = (time.time() - start) * 1000
logger.error("MCPBridge run failed: %s", exc)
return BridgeResult(
content="",
tool_calls_made=tool_calls_made,
rounds=rounds,
latency_ms=latency,
model=self.model,
error=str(exc),
)
def status(self) -> dict:
"""Return bridge status for the dashboard."""

View File

@@ -13,8 +13,8 @@ from dataclasses import dataclass
import httpx
from config import settings
from timmy.research_tools import get_llm_client, google_web_search
from timmy.research_triage import triage_research_report
from timmy.research_tools import google_web_search, get_llm_client
logger = logging.getLogger(__name__)

View File

@@ -6,7 +6,6 @@ import logging
import os
from typing import Any
from config import settings
from serpapi import GoogleSearch
logger = logging.getLogger(__name__)

View File

@@ -10,14 +10,12 @@ from __future__ import annotations
import json
import socket
from pathlib import Path
from unittest.mock import MagicMock, patch
import pytest
from integrations.bannerlord.gabs_client import GabsClient, GabsError
# ── GabsClient unit tests ─────────────────────────────────────────────────────

View File

@@ -9,10 +9,8 @@ import json
from pathlib import Path
import pytest
import scripts.export_trajectories as et
# ── Fixtures ──────────────────────────────────────────────────────────────────

View File

@@ -4,8 +4,6 @@ from __future__ import annotations
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from timmy.dispatcher import (
AGENT_REGISTRY,
AgentType,
@@ -21,7 +19,6 @@ from timmy.dispatcher import (
wait_for_completion,
)
# ---------------------------------------------------------------------------
# Agent registry
# ---------------------------------------------------------------------------

View File

@@ -1,621 +0,0 @@
"""Unit tests for timmy.backlog_triage — autonomous backlog triage loop."""
from datetime import UTC, datetime
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from timmy.backlog_triage import (
AGENT_CLAUDE,
AGENT_KIMI,
KIMI_READY_LABEL,
OWNER_LOGIN,
READY_THRESHOLD,
BacklogTriageLoop,
ScoredIssue,
TriageCycleResult,
TriageDecision,
_build_audit_comment,
_build_daily_summary,
_extract_tags,
_score_acceptance,
_score_alignment,
_score_scope,
decide,
score_issue,
)
# ── Fixtures ─────────────────────────────────────────────────────────────────
def _make_raw_issue(
number: int = 1,
title: str = "Fix the login bug",
body: str = "## Problem\nLogin fails on empty password.\n\n## Steps\nassert response == 200",
labels: list | None = None,
assignees: list | None = None,
created_at: str = "2026-03-20T10:00:00Z",
) -> dict:
return {
"number": number,
"title": title,
"body": body,
"labels": [{"name": lbl} for lbl in (labels or [])],
"assignees": [{"login": a} for a in (assignees or [])],
"created_at": created_at,
}
def _make_scored_issue(
number: int = 1,
title: str = "Fix login bug",
issue_type: str = "bug",
score: int = 7,
ready: bool = True,
is_p0: bool = True,
is_blocked: bool = False,
assignees: list | None = None,
tags: set | None = None,
labels: list | None = None,
age_days: int = 3,
) -> ScoredIssue:
return ScoredIssue(
number=number,
title=title,
body="",
labels=labels or [],
tags=tags or {"bug"},
assignees=assignees or [],
created_at=datetime.now(UTC),
issue_type=issue_type,
score=score,
scope=2,
acceptance=2,
alignment=3,
ready=ready,
age_days=age_days,
is_p0=is_p0,
is_blocked=is_blocked,
)
# ── _extract_tags ─────────────────────────────────────────────────────────────
class TestExtractTags:
def test_bracket_tags_in_title(self):
tags = _extract_tags("[Bug] Login fails", [])
assert "bug" in tags
def test_multiple_brackets(self):
tags = _extract_tags("[Bug][P0] Crash on startup", [])
assert "bug" in tags
assert "p0" in tags
def test_label_names(self):
tags = _extract_tags("Fix thing", ["security", "hotfix"])
assert "security" in tags
assert "hotfix" in tags
def test_labels_lowercased(self):
tags = _extract_tags("Title", ["Bug", "FEATURE"])
assert "bug" in tags
assert "feature" in tags
def test_empty_inputs(self):
tags = _extract_tags("", [])
assert tags == set()
# ── Scoring functions ─────────────────────────────────────────────────────────
class TestScoreScope:
def test_file_reference_adds_point(self):
score = _score_scope("Fix auth", "Edit src/timmy/auth.py", set())
assert score >= 1
def test_function_reference_adds_point(self):
score = _score_scope("Fix auth", "def validate_token()", set())
assert score >= 1
def test_short_title_adds_point(self):
score = _score_scope("Short title", "", set())
assert score >= 1
def test_meta_tag_penalizes(self):
score = _score_scope("Discussion about philosophy", "long body " * 5, {"philosophy"})
assert score <= 1
def test_max_score_3(self):
score = _score_scope("Fix auth", "src/auth.py\ndef login()", set())
assert score <= 3
class TestScoreAcceptance:
def test_acceptance_keywords(self):
body = "should return 200\nmust pass tests\nexpect response"
score = _score_acceptance("Title", body, set())
assert score >= 2
def test_test_reference_adds_point(self):
score = _score_acceptance("Title", "Run tox -e unit", set())
assert score >= 1
def test_structured_sections(self):
body = "## Problem\nX\n## Solution\nY"
score = _score_acceptance("Title", body, set())
assert score >= 1
def test_meta_tag_penalizes(self):
score = _score_acceptance("Title", "should do something", {"philosophy"})
# still counts but penalized
assert score <= 2
def test_empty_body(self):
score = _score_acceptance("Title", "", set())
assert score == 0
class TestScoreAlignment:
def test_bug_tags_score_max(self):
assert _score_alignment("", "", {"bug"}) == 3
def test_hotfix_tag_max(self):
assert _score_alignment("", "", {"hotfix"}) == 3
def test_refactor_tag(self):
score = _score_alignment("", "", {"refactor"})
assert score >= 2
def test_feature_tag(self):
score = _score_alignment("", "", {"feature"})
assert score >= 2
def test_meta_tags_zero(self):
assert _score_alignment("", "", {"philosophy"}) == 0
def test_loop_generated_bonus(self):
score = _score_alignment("", "", {"loop-generated"})
assert score >= 1
# ── score_issue ───────────────────────────────────────────────────────────────
class TestScoreIssue:
def test_bug_issue_classified_correctly(self):
raw = _make_raw_issue(labels=["bug"], title="[Bug] Crash on startup")
scored = score_issue(raw)
assert scored.issue_type == "bug"
assert scored.is_p0 is True
def test_feature_issue_classified(self):
raw = _make_raw_issue(labels=["feature"], title="Add voice support")
scored = score_issue(raw)
assert scored.issue_type == "feature"
def test_philosophy_issue_classified(self):
raw = _make_raw_issue(labels=["philosophy"], title="[Philosophy] Should Timmy sleep?")
scored = score_issue(raw)
assert scored.issue_type == "philosophy"
def test_research_issue_classified(self):
raw = _make_raw_issue(labels=["research"], title="Investigate model options")
scored = score_issue(raw)
assert scored.issue_type == "research"
def test_ready_flag_set_when_score_high(self):
body = (
"## Problem\nX breaks.\n## Solution\nFix src/timmy/agent.py def run()\n"
"should return True\nmust pass tox -e unit"
)
raw = _make_raw_issue(labels=["bug"], body=body)
scored = score_issue(raw)
assert scored.score >= READY_THRESHOLD
assert scored.ready is True
def test_is_blocked_detected_in_body(self):
raw = _make_raw_issue(body="This is blocked by issue #50")
scored = score_issue(raw)
assert scored.is_blocked is True
def test_is_blocked_detected_in_title(self):
raw = _make_raw_issue(title="[blocking] Cannot proceed")
scored = score_issue(raw)
# "blocking" in brackets becomes a tag
assert scored.is_blocked is True
def test_unassigned_when_no_assignees(self):
raw = _make_raw_issue(assignees=[])
scored = score_issue(raw)
assert scored.is_unassigned is True
def test_assigned_when_has_assignee(self):
raw = _make_raw_issue(assignees=["claude"])
scored = score_issue(raw)
assert scored.is_unassigned is False
def test_age_days_computed(self):
old_ts = "2026-01-01T00:00:00Z"
raw = _make_raw_issue(created_at=old_ts)
scored = score_issue(raw)
assert scored.age_days > 0
def test_needs_kimi_for_research_label(self):
raw = _make_raw_issue(labels=["kimi-ready"])
scored = score_issue(raw)
assert scored.needs_kimi is True
# ── decide ────────────────────────────────────────────────────────────────────
class TestDecide:
def test_philosophy_skipped(self):
issue = _make_scored_issue(issue_type="philosophy", tags={"philosophy"})
d = decide(issue)
assert d.action == "skip"
assert "philosophy" in d.reason.lower()
def test_assigned_issue_skipped(self):
issue = _make_scored_issue(assignees=["perplexity"])
d = decide(issue)
assert d.action == "skip"
assert "assigned" in d.reason.lower()
def test_low_score_skipped(self):
issue = _make_scored_issue(score=2, ready=False)
d = decide(issue)
assert d.action == "skip"
assert "threshold" in d.reason.lower()
def test_blocked_issue_flagged_for_alex(self):
issue = _make_scored_issue(is_blocked=True)
d = decide(issue)
assert d.action == "flag_alex"
assert d.agent == OWNER_LOGIN
def test_research_issue_assigned_kimi(self):
issue = _make_scored_issue(
issue_type="research",
tags={"research"},
is_p0=False,
is_blocked=False,
)
d = decide(issue)
assert d.action == "assign_kimi"
assert d.agent == AGENT_KIMI
def test_kimi_ready_label_assigns_kimi(self):
issue = _make_scored_issue(
issue_type="unknown",
tags={"kimi-ready"},
labels=["kimi-ready"],
is_p0=False,
is_blocked=False,
)
d = decide(issue)
assert d.action == "assign_kimi"
def test_p0_bug_assigns_claude(self):
issue = _make_scored_issue(issue_type="bug", is_p0=True, is_blocked=False)
d = decide(issue)
assert d.action == "assign_claude"
assert d.agent == AGENT_CLAUDE
def test_ready_feature_assigns_claude(self):
issue = _make_scored_issue(
issue_type="feature",
is_p0=False,
is_blocked=False,
tags={"feature"},
)
d = decide(issue)
assert d.action == "assign_claude"
assert d.agent == AGENT_CLAUDE
def test_decision_has_reason(self):
issue = _make_scored_issue()
d = decide(issue)
assert len(d.reason) > 10
# ── _build_audit_comment ──────────────────────────────────────────────────────
class TestBuildAuditComment:
def test_contains_timmy_triage_header(self):
d = TriageDecision(42, "assign_claude", "High priority bug", agent=AGENT_CLAUDE)
comment = _build_audit_comment(d)
assert "Timmy Triage" in comment
def test_contains_issue_reason(self):
d = TriageDecision(42, "assign_claude", "Urgent P0 bug", agent=AGENT_CLAUDE)
comment = _build_audit_comment(d)
assert "Urgent P0 bug" in comment
def test_assign_claude_mentions_agent(self):
d = TriageDecision(42, "assign_claude", "reason", agent=AGENT_CLAUDE)
comment = _build_audit_comment(d)
assert AGENT_CLAUDE in comment
def test_assign_kimi_mentions_label(self):
d = TriageDecision(42, "assign_kimi", "reason", agent=AGENT_KIMI)
comment = _build_audit_comment(d)
assert KIMI_READY_LABEL in comment
def test_flag_alex_mentions_owner(self):
d = TriageDecision(42, "flag_alex", "blocked", agent=OWNER_LOGIN)
comment = _build_audit_comment(d)
assert OWNER_LOGIN in comment
def test_contains_override_note(self):
d = TriageDecision(42, "assign_claude", "reason", agent=AGENT_CLAUDE)
comment = _build_audit_comment(d)
assert "override" in comment.lower()
# ── _build_daily_summary ──────────────────────────────────────────────────────
class TestBuildDailySummary:
def _make_result(self, decisions=None) -> TriageCycleResult:
return TriageCycleResult(
timestamp=datetime.now(UTC).isoformat(),
total_open=10,
scored=8,
ready=5,
decisions=decisions or [],
)
def test_contains_open_count(self):
result = self._make_result()
scored = [_make_scored_issue(number=i, ready=True, score=6) for i in range(1, 4)]
summary = _build_daily_summary(result, scored)
assert "10" in summary # total_open
def test_contains_ready_count(self):
result = self._make_result()
summary = _build_daily_summary(result, [])
assert "5" in summary
def test_actions_taken_section(self):
decisions = [
TriageDecision(1, "assign_claude", "P0 bug", agent="claude", executed=True),
]
result = self._make_result(decisions=decisions)
summary = _build_daily_summary(result, [])
assert "Actions Taken" in summary
assert "#1" in summary
def test_top_issues_listed(self):
scored = [_make_scored_issue(number=99, ready=True, score=8)]
result = self._make_result()
summary = _build_daily_summary(result, scored)
assert "#99" in summary
def test_footer_present(self):
summary = _build_daily_summary(self._make_result(), [])
assert "Auto-generated" in summary
# ── BacklogTriageLoop ─────────────────────────────────────────────────────────
class TestBacklogTriageLoop:
def test_default_interval_from_settings(self):
loop = BacklogTriageLoop()
from config import settings
assert loop._interval == float(settings.backlog_triage_interval_seconds)
def test_custom_interval(self):
loop = BacklogTriageLoop(interval=300)
assert loop._interval == 300.0
def test_dry_run_default(self):
loop = BacklogTriageLoop(dry_run=True)
assert loop._dry_run is True
def test_not_running_initially(self):
loop = BacklogTriageLoop()
assert loop.is_running is False
def test_stop_sets_running_false(self):
loop = BacklogTriageLoop()
loop._running = True
loop.stop()
assert loop._running is False
def test_cycle_count_starts_zero(self):
loop = BacklogTriageLoop()
assert loop.cycle_count == 0
@pytest.mark.asyncio
async def test_run_once_skips_when_no_gitea_token(self):
loop = BacklogTriageLoop()
mock_settings = MagicMock()
mock_settings.gitea_enabled = True
mock_settings.gitea_token = ""
mock_settings.backlog_triage_interval_seconds = 900
mock_settings.backlog_triage_dry_run = False
mock_settings.backlog_triage_daily_summary = False
with patch("timmy.backlog_triage.settings", mock_settings):
result = await loop.run_once()
assert result.total_open == 0
@pytest.mark.asyncio
async def test_run_once_dry_run_no_api_writes(self):
"""In dry_run mode, decisions are made but no Gitea API writes happen."""
loop = BacklogTriageLoop(dry_run=True, daily_summary=False)
raw_issues = [
_make_raw_issue(
number=10,
title="Fix crash",
labels=["bug"],
body=(
"## Problem\nCrash on login.\n## Solution\nFix src/auth.py "
"def login()\nshould return 200\nmust pass tox tests"
),
)
]
mock_settings = MagicMock()
mock_settings.gitea_enabled = True
mock_settings.gitea_token = "fake-token"
mock_settings.gitea_repo = "owner/repo"
mock_settings.gitea_url = "http://gitea.local"
mock_settings.backlog_triage_interval_seconds = 900
mock_settings.backlog_triage_dry_run = True
mock_settings.backlog_triage_daily_summary = False
mock_client = AsyncMock()
mock_client.get.return_value = MagicMock(
status_code=200, json=MagicMock(return_value=raw_issues)
)
mock_ctx = AsyncMock()
mock_ctx.__aenter__.return_value = mock_client
mock_ctx.__aexit__.return_value = False
with (
patch("timmy.backlog_triage.settings", mock_settings),
patch("httpx.AsyncClient", return_value=mock_ctx),
):
result = await loop.run_once()
# No POST/PATCH calls in dry run
mock_client.post.assert_not_called()
mock_client.patch.assert_not_called()
assert result.total_open == 1
assert loop.cycle_count == 1
assert len(loop.history) == 1
@pytest.mark.asyncio
async def test_run_once_assigns_unassigned_bug(self):
"""Unassigned ready bug should be assigned to Claude with audit comment."""
loop = BacklogTriageLoop(dry_run=False, daily_summary=False)
body = (
"## Problem\nCrash on login.\n## Solution\nFix src/auth.py "
"def login()\nshould return 200\nmust pass tox tests"
)
raw_issues = [_make_raw_issue(number=5, title="Fix crash", labels=["bug"], body=body)]
mock_settings = MagicMock()
mock_settings.gitea_enabled = True
mock_settings.gitea_token = "fake-token"
mock_settings.gitea_repo = "owner/repo"
mock_settings.gitea_url = "http://gitea.local"
mock_settings.backlog_triage_interval_seconds = 900
mock_settings.backlog_triage_dry_run = False
mock_settings.backlog_triage_daily_summary = False
# GET /issues returns our issue
get_issues_resp = MagicMock(status_code=200)
get_issues_resp.json.return_value = raw_issues
# POST /comments returns success
comment_resp = MagicMock(status_code=201)
comment_resp.json.return_value = {"id": 1}
# PATCH /issues/{n} (assign) returns success
assign_resp = MagicMock(status_code=200)
assign_resp.json.return_value = {"number": 5}
mock_client = AsyncMock()
mock_client.get.return_value = get_issues_resp
mock_client.post.return_value = comment_resp
mock_client.patch.return_value = assign_resp
mock_ctx = AsyncMock()
mock_ctx.__aenter__.return_value = mock_client
mock_ctx.__aexit__.return_value = False
with (
patch("timmy.backlog_triage.settings", mock_settings),
patch("httpx.AsyncClient", return_value=mock_ctx),
patch("asyncio.sleep", new_callable=AsyncMock),
):
result = await loop.run_once()
assert result.total_open == 1
# Comment should have been posted
mock_client.post.assert_called()
# Assign should have been called (PATCH)
mock_client.patch.assert_called()
@pytest.mark.asyncio
async def test_run_once_skips_already_assigned(self):
"""Issues already assigned should not be acted upon."""
loop = BacklogTriageLoop(dry_run=False, daily_summary=False)
raw_issues = [
_make_raw_issue(
number=3,
labels=["bug"],
assignees=["perplexity"],
body="## Problem\nX\nmust pass tox\nshould return 200 at least 3 times",
)
]
mock_settings = MagicMock()
mock_settings.gitea_enabled = True
mock_settings.gitea_token = "tok"
mock_settings.gitea_repo = "owner/repo"
mock_settings.gitea_url = "http://gitea.local"
mock_settings.backlog_triage_interval_seconds = 900
mock_settings.backlog_triage_dry_run = False
mock_settings.backlog_triage_daily_summary = False
get_resp = MagicMock(status_code=200)
get_resp.json.return_value = raw_issues
mock_client = AsyncMock()
mock_client.get.return_value = get_resp
mock_ctx = AsyncMock()
mock_ctx.__aenter__.return_value = mock_client
mock_ctx.__aexit__.return_value = False
with (
patch("timmy.backlog_triage.settings", mock_settings),
patch("httpx.AsyncClient", return_value=mock_ctx),
):
result = await loop.run_once()
# No writes for already-assigned issue
mock_client.post.assert_not_called()
mock_client.patch.assert_not_called()
assert result.decisions[0].action == "skip"
# ── ScoredIssue properties ────────────────────────────────────────────────────
class TestScoredIssueProperties:
def test_is_unassigned_true_when_no_assignees(self):
issue = _make_scored_issue(assignees=[])
assert issue.is_unassigned is True
def test_is_unassigned_false_when_assigned(self):
issue = _make_scored_issue(assignees=["claude"])
assert issue.is_unassigned is False
def test_needs_kimi_for_research_tag(self):
issue = _make_scored_issue(tags={"research"})
assert issue.needs_kimi is True
def test_needs_kimi_for_kimi_ready_label(self):
issue = _make_scored_issue(labels=["kimi-ready"], tags=set())
assert issue.needs_kimi is True
def test_needs_kimi_false_for_bug(self):
issue = _make_scored_issue(tags={"bug"}, labels=[])
assert issue.needs_kimi is False

View File

@@ -9,19 +9,15 @@ Refs: #1105
from __future__ import annotations
import json
import tempfile
from datetime import UTC, datetime, timedelta
from pathlib import Path
import pytest
from timmy_automations.retrain.quality_filter import QualityFilter, TrajectoryQuality
from timmy_automations.retrain.retrain import RetrainOrchestrator
from timmy_automations.retrain.training_dataset import TrainingDataset
from timmy_automations.retrain.training_log import CycleMetrics, TrainingLog
from timmy_automations.retrain.trajectory_exporter import Trajectory, TrajectoryExporter
# ── Fixtures ─────────────────────────────────────────────────────────────────