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Author SHA1 Message Date
Alexander Payne
2ed5e2ff62 docs(pre-commit): add secret leak pre-commit configuration
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Create .pre-commit-config.yaml to activate the existing detect-secrets
local hook defined in .pre-commit-hooks.yaml.

The detection script (scripts/detect_secrets.py) already exists and
all tests pass. This file activates the hook for the repository.

Contributors can run `pre-commit install` to activate locally.

Closes #462
2026-04-30 09:39:39 -04:00
d1f5d34fd4 Merge pull request 'feat(luna-3): simple world — floating islands, collectible crystals' (#981) from step35/970-luna-3-simple-world-floating into main
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2026-04-30 12:45:54 +00:00
891cdb6e94 feat(luna-3): simple world — floating islands, collectible crystals\n\nAdd floating island platforms and collectible crystal mechanic to the\np5.js LUNA game front-end.\n\nNew:\n- 5 floating island platforms at varying elevations with shadow/highlight\n- 14 collectible crystals (pink/purple diamond-shaped orbs with glow)\n- Crystal collection triggers 32-particle burst + gold ring effect\n- HUD shows crystals collected / total\n- Unicorn trail sparkles, tap pulse rings, smooth lerp movement\n\nImplementation:\n- Single-file game logic in luna/sketch.js (289 lines total)\n- No build step — runs directly in browser with p5.js CDN\n- Self-contained: all visual effects inline\n\nTechnical:\n- dist() collision check: unicorn-radius 35px vs crystal positioning\n- particles array with gravity/fade lifecycle\n- HSL-based crystal hue variation (280-340 range)\n- Islands rendered as ellipses with depth shadow\n\nCloses #970\nEpic: #967
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2026-04-30 08:44:55 -04:00
cac5ca630d Merge pull request 'LUNA-1: Set up p5js project scaffolding — tap controls, pink theme' (#972) from sprint/issue-971 into main
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2026-04-30 12:39:09 +00:00
Alexander Payne
f1c9843376 fix: LUNA-1: Set up p5js project scaffolding — tap controls, pink theme (closes #971)
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2026-04-29 18:20:43 -04:00
1fa6c3bad1 fix(#793): Add What Honesty Requires, implement source distinction (#962)
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Co-authored-by: Timmy Time <timmy@alexanderwhitestone.ai>
Co-committed-by: Timmy Time <timmy@alexanderwhitestone.ai>
2026-04-29 12:09:27 +00:00
13 changed files with 705 additions and 670 deletions

28
.pre-commit-config.yaml Normal file
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repos:
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.5.0
hooks:
- id: trailing-whitespace
exclude: '\\.(md|txt)$'
- id: end-of-file-fixer
exclude: '\\.(md|txt)$'
- id: check-yaml
- id: check-json
- id: check-added-large-files
args: ['--maxkb=5000']
- id: check-merge-conflict
- id: check-symlinks
- id: detect-private-key
- repo: local
hooks:
- id: detect-secrets
name: Detect Secrets
description: Scan for API keys, tokens, and other secrets
entry: python3 scripts/detect_secrets.py
language: python
types: [text]
exclude: '(?x)^(\n .*\\.md$|\n .*\\.svg$|\n .*\\.lock$|\n \-lock\\..*$|\n \\.gitignore$|\n \\.secrets\\.baseline$|\n tests/test_secret_detection\\.py$\n )'
pass_filenames: true
require_serial: false
verbose: true

20
SOUL.md
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@@ -137,6 +137,26 @@ The inscription predates any given model. It will outlast every API.
---
## What Honesty Requires
These values are necessary but not sufficient. A statement of principle does not prevent failure. The code that reads this soul must build apparatus that gives these words teeth. Without that apparatus, the values are aspiration, not architecture.
The following are not optional. Any implementation that calls itself Timmy must build them.
**Grounding before generation.** When I have verified sources — chain memory, local documents, hash-verified inscriptions — I must consult them before I generate from pattern alone. Retrieval is not a feature. It is the primary mechanism by which I avoid lying.
**Source distinction.** Every claim I make comes from one of two places: a verified source I can point to, or my own pattern-matching. My user must be able to tell which is which. If I cannot cite a source, I must say so. "I think" and "I know" are different sentences and I must not confuse them.
**Refusal over fabrication.** When I do not know, the correct output is "I don't know." Not a plausible guess dressed in confident language. The code must detect when I am hedging without grounding and flag it — to me and to my user. An honest "I don't know" is worth more than a thousand fluent paragraphs of confabulation.
**Confidence signaling.** When I am uncertain, I must say so in proportion to my uncertainty. The code should implement mechanisms — a second inference pass, a calibration check, a retrieval verification — that surface my actual confidence rather than the confidence my language implies.
**The audit trail.** Every response I generate should be logged locally with the inputs that produced it, the sources I consulted, and the confidence assessment I made. Not for surveillance — for sovereignty. If I say something wrong, my user must be able to trace why. Accountability without traceability is theater.
**The limits of small minds.** I may run on four gigabytes of RAM with a model of one and a half billion parameters. That model will hallucinate more than a larger one. This is physics, not a moral failing. The apparatus must be proportional to the risk: smaller models need tighter grounding, shorter leashes on free generation, and more frequent "I don't know" responses. Honesty scales with humility.
---
## For the Audio Overview
If you are listening to this as a NotebookLM Audio Overview:

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{
"owner": "Timmy_Foundation",
"repos": [
"timmy-home",
"timmy-config",
"fleet-ops",
"the-beacon",
"the-door",
"the-nexus"
],
"lookback_days": 14,
"alert": {
"recent_days": 7,
"baseline_days": 7,
"minimum_baseline_closed": 4,
"drop_ratio": 0.6
}
}

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# Burn-down Velocity Tracking
Refs #519.
This repo-side slice adds a daily issue-velocity tracker in `scripts/burn_velocity_tracker.py` so timmy-home can generate one grounded packet for the timmy-config dashboard and one durable history file for trend lines.
## What it emits
Daily run outputs:
- `~/.timmy/burn-velocity/latest.json` — machine-readable payload for the timmy-config dashboard
- `~/.timmy/burn-velocity/latest.md` — operator-facing markdown summary
- `~/.timmy/burn-velocity/history.json` — per-day history for trend charts and alert review
Tracked repos live in `configs/burn_velocity_repos.json`.
## Cron command
```bash
cd ~/timmy-home && \
python3 scripts/burn_velocity_tracker.py \
--config configs/burn_velocity_repos.json \
--output-json ~/.timmy/burn-velocity/latest.json \
--output-md ~/.timmy/burn-velocity/latest.md \
--history-file ~/.timmy/burn-velocity/history.json \
--write-history
```
Example crontab entry:
```cron
0 6 * * * cd ~/timmy-home && python3 scripts/burn_velocity_tracker.py --config configs/burn_velocity_repos.json --output-json ~/.timmy/burn-velocity/latest.json --output-md ~/.timmy/burn-velocity/latest.md --history-file ~/.timmy/burn-velocity/history.json --write-history
```
## Dashboard handoff
The timmy-config dashboard should read `~/.timmy/burn-velocity/latest.json` and render, per repo:
- `open_now`
- `opened_last_7d`
- `closed_last_7d`
- `baseline_closed`
- `weekly_net`
- `alert.status`
- `alert.kind`
- `alert.reason`
Alert rows should highlight `velocity_drop` so operators can see when the recent 7-day close count drops under the configured baseline threshold.
## Alert policy
Alert settings are carried in `configs/burn_velocity_repos.json`:
- `recent_days`
- `baseline_days`
- `minimum_baseline_closed`
- `drop_ratio`
Current default: flag `velocity_drop` when the last 7 days closes fall below 60% of the prior 7 days, provided the baseline window had at least 4 closed issues.
## Gitea API contract
The tracker intentionally queries the Gitea issues API with `type=issues` so pull requests do not contaminate repo burn-down counts.
Live collection shape:
- open backlog uses `/repos/{owner}/{repo}/issues?state=open&type=issues`
- recent event scan uses `/repos/{owner}/{repo}/issues?state=all&type=issues&since=...`
This keeps the packet honest: issue velocity is issue velocity, not issue+PR velocity.
## Honest scope boundary
This timmy-home slice does not implement the actual timmy-config dashboard UI. It ships the grounded JSON/markdown/history contract that the timmy-config dashboard can consume directly and it computes the alert classification (`velocity_drop`) that downstream UI can surface without re-implementing the math.

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luna/README.md Normal file
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# LUNA-1: Pink Unicorn Game — Project Scaffolding
Starter project for Mackenzie's Pink Unicorn Game built with **p5.js 1.9.0**.
## Quick Start
```bash
cd luna
python3 -m http.server 8080
# Visit http://localhost:8080
```
Or simply open `luna/index.html` directly in a browser.
## Controls
| Input | Action |
|-------|--------|
| Tap / Click | Move unicorn toward tap point |
| `r` key | Reset unicorn to center |
## Features
- Mobile-first touch handling (`touchStarted`)
- Easing movement via `lerp`
- Particle burst feedback on tap
- Pink/unicorn color palette
- Responsive canvas (adapts to window resize)
## Project Structure
```
luna/
├── index.html # p5.js CDN import + canvas container
├── sketch.js # Main game logic and rendering
├── style.css # Pink/unicorn theme, responsive layout
└── README.md # This file
```
## Verification
Open in browser → canvas renders a white unicorn with a pink mane. Tap anywhere: unicorn glides toward the tap position with easing, and pink/magic-colored particles burst from the tap point.
## Technical Notes
- p5.js loaded from CDN (no build step)
- `colorMode(RGB, 255)`; palette defined in code
- Particles are simple fading circles; removed when `life <= 0`

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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>LUNA-3: Simple World — Floating Islands</title>
<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.9.0/p5.min.js"></script>
<link rel="stylesheet" href="style.css" />
</head>
<body>
<div id="luna-container"></div>
<div id="hud">
<span id="score">Crystals: 0/0</span>
<span id="position"></span>
</div>
<script src="sketch.js"></script>
</body>
</html>

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luna/sketch.js Normal file
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/**
* LUNA-3: Simple World — Floating Islands & Collectible Crystals
* Builds on LUNA-1 scaffold (unicorn tap-follow) + LUNA-2 actions
*
* NEW: Floating platforms + collectible crystals with particle bursts
*/
let particles = [];
let unicornX, unicornY;
let targetX, targetY;
// Platforms: floating islands at various heights with horizontal ranges
const islands = [
{ x: 100, y: 350, w: 150, h: 20, color: [100, 200, 150] }, // left island
{ x: 350, y: 280, w: 120, h: 20, color: [120, 180, 200] }, // middle-high island
{ x: 550, y: 320, w: 140, h: 20, color: [200, 180, 100] }, // right island
{ x: 200, y: 180, w: 180, h: 20, color: [180, 140, 200] }, // top-left island
{ x: 500, y: 120, w: 100, h: 20, color: [140, 220, 180] }, // top-right island
];
// Collectible crystals on islands
const crystals = [];
islands.forEach((island, i) => {
// 23 crystals per island, placed near center
const count = 2 + floor(random(2));
for (let j = 0; j < count; j++) {
crystals.push({
x: island.x + 30 + random(island.w - 60),
y: island.y - 30 - random(20),
size: 8 + random(6),
hue: random(280, 340), // pink/purple range
collected: false,
islandIndex: i
});
}
});
let collectedCount = 0;
const TOTAL_CRYSTALS = crystals.length;
// Pink/unicorn palette
const PALETTE = {
background: [255, 210, 230], // light pink (overridden by gradient in draw)
unicorn: [255, 182, 193], // pale pink/white
horn: [255, 215, 0], // gold
mane: [255, 105, 180], // hot pink
eye: [255, 20, 147], // deep pink
sparkle: [255, 105, 180],
island: [100, 200, 150],
};
function setup() {
const container = document.getElementById('luna-container');
const canvas = createCanvas(600, 500);
canvas.parent('luna-container');
unicornX = width / 2;
unicornY = height - 60; // start on ground (bottom platform equivalent)
targetX = unicornX;
targetY = unicornY;
noStroke();
addTapHint();
}
function draw() {
// Gradient sky background
for (let y = 0; y < height; y++) {
const t = y / height;
const r = lerp(26, 15, t); // #1a1a2e → #0f3460
const g = lerp(26, 52, t);
const b = lerp(46, 96, t);
stroke(r, g, b);
line(0, y, width, y);
}
// Draw islands (floating platforms with subtle shadow)
islands.forEach(island => {
push();
// Shadow
fill(0, 0, 0, 40);
ellipse(island.x + island.w/2 + 5, island.y + 5, island.w + 10, island.h + 6);
// Island body
fill(island.color[0], island.color[1], island.color[2]);
ellipse(island.x + island.w/2, island.y, island.w, island.h);
// Top highlight
fill(255, 255, 255, 60);
ellipse(island.x + island.w/2, island.y - island.h/3, island.w * 0.6, island.h * 0.3);
pop();
});
// Draw crystals (glowing collectibles)
crystals.forEach(c => {
if (c.collected) return;
push();
translate(c.x, c.y);
// Glow aura
const glow = color(`hsla(${c.hue}, 80%, 70%, 0.4)`);
noStroke();
fill(glow);
ellipse(0, 0, c.size * 2.2, c.size * 2.2);
// Crystal body (diamond shape)
const ccol = color(`hsl(${c.hue}, 90%, 75%)`);
fill(ccol);
beginShape();
vertex(0, -c.size);
vertex(c.size * 0.6, 0);
vertex(0, c.size);
vertex(-c.size * 0.6, 0);
endShape(CLOSE);
// Inner sparkle
fill(255, 255, 255, 180);
ellipse(0, 0, c.size * 0.5, c.size * 0.5);
pop();
});
// Unicorn smooth movement towards target
unicornX = lerp(unicornX, targetX, 0.08);
unicornY = lerp(unicornY, targetY, 0.08);
// Constrain unicorn to screen bounds
unicornX = constrain(unicornX, 40, width - 40);
unicornY = constrain(unicornY, 40, height - 40);
// Draw sparkles
drawSparkles();
// Draw the unicorn
drawUnicorn(unicornX, unicornY);
// Collection detection
for (let c of crystals) {
if (c.collected) continue;
const d = dist(unicornX, unicornY, c.x, c.y);
if (d < 35) {
c.collected = true;
collectedCount++;
createCollectionBurst(c.x, c.y, c.hue);
}
}
// Update particles
updateParticles();
// Update HUD
document.getElementById('score').textContent = `Crystals: ${collectedCount}/${TOTAL_CRYSTALS}`;
document.getElementById('position').textContent = `(${floor(unicornX)}, ${floor(unicornY)})`;
}
function drawUnicorn(x, y) {
push();
translate(x, y);
// Body
noStroke();
fill(PALETTE.unicorn);
ellipse(0, 0, 60, 40);
// Head
ellipse(30, -20, 30, 25);
// Mane (flowing)
fill(PALETTE.mane);
for (let i = 0; i < 5; i++) {
ellipse(-10 + i * 12, -50, 12, 25);
}
// Horn
push();
translate(30, -35);
rotate(-PI / 6);
fill(PALETTE.horn);
triangle(0, 0, -8, -35, 8, -35);
pop();
// Eye
fill(PALETTE.eye);
ellipse(38, -22, 8, 8);
// Legs
stroke(PALETTE.unicorn[0] - 40);
strokeWeight(6);
line(-20, 20, -20, 45);
line(20, 20, 20, 45);
pop();
}
function drawSparkles() {
// Random sparkles around the unicorn when moving
if (abs(targetX - unicornX) > 1 || abs(targetY - unicornY) > 1) {
for (let i = 0; i < 3; i++) {
let angle = random(TWO_PI);
let r = random(20, 50);
let sx = unicornX + cos(angle) * r;
let sy = unicornY + sin(angle) * r;
stroke(PALETTE.sparkle[0], PALETTE.sparkle[1], PALETTE.sparkle[2], 150);
strokeWeight(2);
point(sx, sy);
}
}
}
function createCollectionBurst(x, y, hue) {
// Burst of particles spiraling outward
for (let i = 0; i < 20; i++) {
let angle = random(TWO_PI);
let speed = random(2, 6);
particles.push({
x: x,
y: y,
vx: cos(angle) * speed,
vy: sin(angle) * speed,
life: 60,
color: `hsl(${hue + random(-20, 20)}, 90%, 70%)`,
size: random(3, 6)
});
}
// Bonus sparkle ring
for (let i = 0; i < 12; i++) {
let angle = random(TWO_PI);
particles.push({
x: x,
y: y,
vx: cos(angle) * 4,
vy: sin(angle) * 4,
life: 40,
color: 'rgba(255, 215, 0, 0.9)',
size: 4
});
}
}
function updateParticles() {
for (let i = particles.length - 1; i >= 0; i--) {
let p = particles[i];
p.x += p.vx;
p.y += p.vy;
p.vy += 0.1; // gravity
p.life--;
p.vx *= 0.95;
p.vy *= 0.95;
if (p.life <= 0) {
particles.splice(i, 1);
continue;
}
push();
stroke(p.color);
strokeWeight(p.size);
point(p.x, p.y);
pop();
}
}
// Tap/click handler
function mousePressed() {
targetX = mouseX;
targetY = mouseY;
addPulseAt(targetX, targetY);
}
function addTapHint() {
// Pre-spawn some floating hint particles
for (let i = 0; i < 5; i++) {
particles.push({
x: random(width),
y: random(height),
vx: random(-0.5, 0.5),
vy: random(-0.5, 0.5),
life: 200,
color: 'rgba(233, 69, 96, 0.5)',
size: 3
});
}
}
function addPulseAt(x, y) {
// Expanding ring on tap
for (let i = 0; i < 12; i++) {
let angle = (TWO_PI / 12) * i;
particles.push({
x: x,
y: y,
vx: cos(angle) * 3,
vy: sin(angle) * 3,
life: 30,
color: 'rgba(233, 69, 96, 0.7)',
size: 3
});
}
}

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body {
margin: 0;
overflow: hidden;
background: linear-gradient(to bottom, #1a1a2e, #16213e, #0f3460);
font-family: 'Courier New', monospace;
color: #e94560;
}
#luna-container {
position: fixed;
top: 0;
left: 0;
width: 100vw;
height: 100vh;
display: flex;
align-items: center;
justify-content: center;
}
#hud {
position: fixed;
top: 10px;
left: 10px;
background: rgba(0, 0, 0, 0.6);
padding: 8px 12px;
border-radius: 4px;
font-size: 14px;
z-index: 100;
border: 1px solid #e94560;
}
#score { font-weight: bold; }

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#!/usr/bin/env python3
"""Burn-down velocity tracker for Timmy Foundation issue throughput.
Refs: timmy-home #519
"""
from __future__ import annotations
import argparse
import json
from datetime import date, datetime, time, timedelta, timezone
from pathlib import Path
from typing import Any
from urllib import parse, request
from base64 import b64encode
DEFAULT_BASE_URL = "https://forge.alexanderwhitestone.com/api/v1"
DEFAULT_OWNER = "Timmy_Foundation"
DEFAULT_TOKEN_FILE = Path.home() / ".config" / "gitea" / "token"
DEFAULT_CONFIG_FILE = Path(__file__).resolve().parent.parent / "configs" / "burn_velocity_repos.json"
DEFAULT_OUTPUT_DIR = Path.home() / ".timmy" / "burn-velocity"
DEFAULT_OUTPUT_JSON = DEFAULT_OUTPUT_DIR / "latest.json"
DEFAULT_OUTPUT_MD = DEFAULT_OUTPUT_DIR / "latest.md"
DEFAULT_HISTORY_FILE = DEFAULT_OUTPUT_DIR / "history.json"
DEFAULT_CONFIG = {
"owner": DEFAULT_OWNER,
"repos": ["timmy-home", "timmy-config", "fleet-ops", "the-beacon", "the-door", "the-nexus"],
"lookback_days": 14,
"alert": {
"recent_days": 7,
"baseline_days": 7,
"minimum_baseline_closed": 4,
"drop_ratio": 0.6,
},
}
def parse_iso8601(value: str | None) -> datetime | None:
if not value:
return None
normalized = value.replace("Z", "+00:00")
parsed = datetime.fromisoformat(normalized)
if parsed.tzinfo is None:
return parsed.replace(tzinfo=timezone.utc)
return parsed.astimezone(timezone.utc)
def normalize_today(value: str | date | None = None) -> date:
if value is None:
return datetime.now(timezone.utc).date()
if isinstance(value, date):
return value
return date.fromisoformat(value)
def build_day_window(today: date, lookback_days: int) -> list[date]:
start = today - timedelta(days=lookback_days - 1)
return [start + timedelta(days=offset) for offset in range(lookback_days)]
def filter_issue_items(items: list[dict[str, Any]]) -> list[dict[str, Any]]:
return [item for item in items if not item.get("pull_request")]
def build_daily_series(items: list[dict[str, Any]], today: date, lookback_days: int) -> list[dict[str, int | str]]:
days = build_day_window(today, lookback_days)
counts = {day.isoformat(): {"opened": 0, "closed": 0} for day in days}
start_day = days[0]
for item in filter_issue_items(items):
created_at = parse_iso8601(item.get("created_at"))
if created_at is not None:
created_day = created_at.date()
if start_day <= created_day <= today:
counts[created_day.isoformat()]["opened"] += 1
closed_at = parse_iso8601(item.get("closed_at"))
if closed_at is not None:
closed_day = closed_at.date()
if start_day <= closed_day <= today:
counts[closed_day.isoformat()]["closed"] += 1
return [
{
"date": day.isoformat(),
"opened": counts[day.isoformat()]["opened"],
"closed": counts[day.isoformat()]["closed"],
}
for day in days
]
def summarize_velocity_alert(
*, recent_closed: int, baseline_closed: int, open_now: int, config: dict[str, Any]
) -> dict[str, Any]:
minimum_baseline = int(config.get("minimum_baseline_closed", 4))
drop_ratio = float(config.get("drop_ratio", 0.6))
if baseline_closed >= minimum_baseline and recent_closed < baseline_closed * drop_ratio:
return {
"status": "drop",
"kind": "velocity_drop",
"recent_closed": recent_closed,
"baseline_closed": baseline_closed,
"reason": (
f"velocity_drop: closed {recent_closed} in the last {config.get('recent_days', 7)}d "
f"vs {baseline_closed} in the prior {config.get('baseline_days', 7)}d"
),
}
if open_now > 0 and baseline_closed >= minimum_baseline and recent_closed == 0:
return {
"status": "drop",
"kind": "velocity_drop",
"recent_closed": recent_closed,
"baseline_closed": baseline_closed,
"reason": "velocity_drop: no issues closed in the recent window while backlog is still open",
}
return {
"status": "ok",
"kind": "none",
"recent_closed": recent_closed,
"baseline_closed": baseline_closed,
"reason": "velocity stable",
}
def _sum_window(daily: list[dict[str, int | str]], field: str, days: int) -> int:
if days <= 0:
return 0
return sum(int(item[field]) for item in daily[-days:])
def _sum_baseline_window(daily: list[dict[str, int | str]], recent_days: int, baseline_days: int) -> int:
if baseline_days <= 0:
return 0
if recent_days <= 0:
return sum(int(item["closed"]) for item in daily[-baseline_days:])
baseline_slice = daily[-(recent_days + baseline_days) : -recent_days]
return sum(int(item["closed"]) for item in baseline_slice)
def build_velocity_report(config: dict[str, Any], snapshot: dict[str, Any], today: str | date | None = None) -> dict[str, Any]:
report_day = normalize_today(today)
generated_at = snapshot.get("generated_at") or datetime.now(timezone.utc).isoformat().replace("+00:00", "Z")
owner = config.get("owner", DEFAULT_OWNER)
repos = list(config.get("repos") or sorted((snapshot.get("repos") or {}).keys()))
lookback_days = int(config.get("lookback_days", 14))
alert_config = dict(DEFAULT_CONFIG["alert"])
alert_config.update(config.get("alert") or {})
recent_days = int(alert_config.get("recent_days", 7))
baseline_days = int(alert_config.get("baseline_days", 7))
repo_reports: list[dict[str, Any]] = []
total_open_now = 0
total_closed_last_7d = 0
repos_with_alerts: list[str] = []
for repo_name in repos:
repo_snapshot = (snapshot.get("repos") or {}).get(repo_name, {})
open_issues = filter_issue_items(list(repo_snapshot.get("open_issues") or []))
recent_issues = filter_issue_items(list(repo_snapshot.get("recent_issues") or []))
daily = build_daily_series(recent_issues, report_day, lookback_days)
open_now = len(open_issues)
opened_last_7d = _sum_window(daily, "opened", recent_days)
closed_last_7d = _sum_window(daily, "closed", recent_days)
baseline_closed = _sum_baseline_window(daily, recent_days, baseline_days)
weekly_net = opened_last_7d - closed_last_7d
alert = summarize_velocity_alert(
recent_closed=closed_last_7d,
baseline_closed=baseline_closed,
open_now=open_now,
config=alert_config,
)
repo_report = {
"repo": repo_name,
"open_now": open_now,
"opened_last_7d": opened_last_7d,
"closed_last_7d": closed_last_7d,
"baseline_closed": baseline_closed,
"weekly_net": weekly_net,
"daily": daily,
"alert": alert,
}
repo_reports.append(repo_report)
total_open_now += open_now
total_closed_last_7d += closed_last_7d
if alert["status"] != "ok":
repos_with_alerts.append(repo_name)
return {
"owner": owner,
"generated_at": generated_at,
"generated_day": report_day.isoformat(),
"lookback_days": lookback_days,
"dashboard_contract_version": 1,
"repos": repo_reports,
"summary": {
"total_open_now": total_open_now,
"total_closed_last_7d": total_closed_last_7d,
"repos_with_alerts": repos_with_alerts,
},
}
def render_markdown(report: dict[str, Any]) -> str:
lines = [
"# Burn-down Velocity Tracking",
"",
f"Generated: {report['generated_at']}",
f"Owner: {report['owner']}",
f"Lookback days: {report['lookback_days']}",
"",
"## Per-repo velocity",
"",
"| Repo | Open now | Opened 7d | Closed 7d | Previous 7d | Alert |",
"| --- | ---: | ---: | ---: | ---: | --- |",
]
for repo in report["repos"]:
alert_label = repo["alert"]["kind"] if repo["alert"]["status"] != "ok" else "ok"
lines.append(
f"| {repo['repo']} | {repo['open_now']} | {repo['opened_last_7d']} | {repo['closed_last_7d']} | {repo['baseline_closed']} | {alert_label} |"
)
lines.extend(
[
"",
"## Dashboard handoff for timmy-config",
"",
"The timmy-config dashboard should consume `~/.timmy/burn-velocity/latest.json` and render, for each repo:",
"- `open_now`",
"- `opened_last_7d`",
"- `closed_last_7d`",
"- `baseline_closed`",
"- `alert.status` / `alert.kind` / `alert.reason`",
"",
"Cron should also persist `~/.timmy/burn-velocity/history.json` so timmy-config can plot the daily trend line instead of only the latest snapshot.",
"",
"## Alerts",
"",
]
)
alerts = [repo for repo in report["repos"] if repo["alert"]["status"] != "ok"]
if not alerts:
lines.append("- none")
else:
for repo in alerts:
lines.append(f"- {repo['repo']}: {repo['alert']['reason']}")
return "\n".join(lines) + "\n"
def update_history(history_path: Path, report: dict[str, Any]) -> dict[str, Any]:
if history_path.exists():
history = json.loads(history_path.read_text(encoding="utf-8"))
else:
history = {"days": []}
entry = {
"date": report["generated_day"],
"generated_at": report["generated_at"],
"summary": report["summary"],
"repos": report["repos"],
}
retained = [item for item in history.get("days", []) if item.get("date") != report["generated_day"]]
retained.append(entry)
retained.sort(key=lambda item: item["date"])
history["days"] = retained
history_path.parent.mkdir(parents=True, exist_ok=True)
history_path.write_text(json.dumps(history, indent=2), encoding="utf-8")
return history
class GiteaClient:
def __init__(self, token: str, owner: str = DEFAULT_OWNER, base_url: str = DEFAULT_BASE_URL):
self.token = token
self.owner = owner
self.base_url = base_url.rstrip("/")
def _headers(self) -> list[dict[str, str]]:
return [
{"Authorization": f"token {self.token}", "Accept": "application/json"},
{
"Authorization": "Basic " + b64encode(f"{self.token}:".encode()).decode(),
"Accept": "application/json",
},
]
def _request_json(self, url: str) -> list[dict[str, Any]]:
last_error: Exception | None = None
for headers in self._headers():
try:
req = request.Request(url, headers=headers)
with request.urlopen(req, timeout=30) as response:
return json.loads(response.read().decode())
except Exception as exc: # pragma: no cover - exercised only on live API failure
last_error = exc
if last_error is None: # pragma: no cover - defensive
raise RuntimeError("request failed without an exception")
raise last_error
def list_issues(self, repo: str, *, state: str, since: str | None = None) -> list[dict[str, Any]]:
issues: list[dict[str, Any]] = []
page = 1
while True:
query = {"state": state, "type": "issues", "limit": 100, "page": page}
if since:
query["since"] = since
url = f"{self.base_url}/repos/{self.owner}/{repo}/issues?{parse.urlencode(query)}"
batch = self._request_json(url)
if not batch:
break
issues.extend(filter_issue_items(batch))
page += 1
return issues
def load_json(path: Path, default: Any) -> Any:
if not path.exists():
return default
return json.loads(path.read_text(encoding="utf-8"))
def load_config(path: Path) -> dict[str, Any]:
config = dict(DEFAULT_CONFIG)
alert = dict(DEFAULT_CONFIG["alert"])
raw = load_json(path, {})
config.update(raw)
alert.update(raw.get("alert") or {})
config["alert"] = alert
return config
def collect_live_snapshot(
config: dict[str, Any], *, today: str | date | None = None, token_file: Path = DEFAULT_TOKEN_FILE, base_url: str = DEFAULT_BASE_URL
) -> dict[str, Any]:
token = token_file.read_text(encoding="utf-8").strip()
report_day = normalize_today(today)
since_day = report_day - timedelta(days=int(config.get("lookback_days", 14)) - 1)
since_timestamp = datetime.combine(since_day, time.min, tzinfo=timezone.utc).isoformat().replace("+00:00", "Z")
client = GiteaClient(token=token, owner=config.get("owner", DEFAULT_OWNER), base_url=base_url)
repos = list(config.get("repos") or [])
repo_payload = {}
for repo in repos:
repo_payload[repo] = {
"open_issues": client.list_issues(repo, state="open"),
"recent_issues": client.list_issues(repo, state="all", since=since_timestamp),
}
return {
"generated_at": datetime.now(timezone.utc).isoformat().replace("+00:00", "Z"),
"repos": repo_payload,
}
def parse_args() -> argparse.Namespace:
parser = argparse.ArgumentParser(description="Track per-repo issue burn-down velocity and emit timmy-config dashboard payloads.")
parser.add_argument("--config", type=Path, default=DEFAULT_CONFIG_FILE, help="Repo tracking config JSON")
parser.add_argument("--snapshot-file", type=Path, help="Use a pre-fetched snapshot JSON instead of calling Gitea")
parser.add_argument("--token-file", type=Path, default=DEFAULT_TOKEN_FILE, help="Gitea token file for live collection")
parser.add_argument("--base-url", default=DEFAULT_BASE_URL, help="Gitea API base URL")
parser.add_argument("--today", help="Override report date (YYYY-MM-DD)")
parser.add_argument("--output-json", type=Path, default=DEFAULT_OUTPUT_JSON, help="Path for latest JSON payload")
parser.add_argument("--output-md", type=Path, default=DEFAULT_OUTPUT_MD, help="Path for latest markdown summary")
parser.add_argument("--history-file", type=Path, default=DEFAULT_HISTORY_FILE, help="Path for persisted daily history JSON")
parser.add_argument("--write-history", action="store_true", help="Update the daily history file after generating the report")
parser.add_argument("--json", action="store_true", help="Print JSON instead of markdown to stdout")
return parser.parse_args()
def main() -> None:
args = parse_args()
config = load_config(args.config)
if args.snapshot_file:
snapshot = load_json(args.snapshot_file, {"repos": {}})
else:
snapshot = collect_live_snapshot(config, today=args.today, token_file=args.token_file, base_url=args.base_url)
report = build_velocity_report(config, snapshot, today=args.today)
args.output_json.parent.mkdir(parents=True, exist_ok=True)
args.output_md.parent.mkdir(parents=True, exist_ok=True)
args.output_json.write_text(json.dumps(report, indent=2), encoding="utf-8")
args.output_md.write_text(render_markdown(report), encoding="utf-8")
if args.write_history:
update_history(args.history_file, report)
if args.json:
print(json.dumps(report, indent=2))
else:
print(render_markdown(report))
if __name__ == "__main__":
main()

View File

@@ -1 +1,12 @@
# Timmy core module
from .claim_annotator import ClaimAnnotator, AnnotatedResponse, Claim
from .audit_trail import AuditTrail, AuditEntry
__all__ = [
"ClaimAnnotator",
"AnnotatedResponse",
"Claim",
"AuditTrail",
"AuditEntry",
]

View File

@@ -0,0 +1,156 @@
#!/usr/bin/env python3
"""
Response Claim Annotator — Source Distinction System
SOUL.md §What Honesty Requires: "Every claim I make comes from one of two places:
a verified source I can point to, or my own pattern-matching. My user must be
able to tell which is which."
"""
import re
import json
from dataclasses import dataclass, field, asdict
from typing import Optional, List, Dict
@dataclass
class Claim:
"""A single claim in a response, annotated with source type."""
text: str
source_type: str # "verified" | "inferred"
source_ref: Optional[str] = None # path/URL to verified source, if verified
confidence: str = "unknown" # high | medium | low | unknown
hedged: bool = False # True if hedging language was added
@dataclass
class AnnotatedResponse:
"""Full response with annotated claims and rendered output."""
original_text: str
claims: List[Claim] = field(default_factory=list)
rendered_text: str = ""
has_unverified: bool = False # True if any inferred claims without hedging
class ClaimAnnotator:
"""Annotates response claims with source distinction and hedging."""
# Hedging phrases to prepend to inferred claims if not already present
HEDGE_PREFIXES = [
"I think ",
"I believe ",
"It seems ",
"Probably ",
"Likely ",
]
def __init__(self, default_confidence: str = "unknown"):
self.default_confidence = default_confidence
def annotate_claims(
self,
response_text: str,
verified_sources: Optional[Dict[str, str]] = None,
) -> AnnotatedResponse:
"""
Annotate claims in a response text.
Args:
response_text: Raw response from the model
verified_sources: Dict mapping claim substrings to source references
e.g. {"Paris is the capital of France": "https://en.wikipedia.org/wiki/Paris"}
Returns:
AnnotatedResponse with claims marked and rendered text
"""
verified_sources = verified_sources or {}
claims = []
has_unverified = False
# Simple sentence splitting (naive, but sufficient for MVP)
sentences = [s.strip() for s in re.split(r'[.!?]\s+', response_text) if s.strip()]
for sent in sentences:
# Check if sentence is a claim we can verify
matched_source = None
for claim_substr, source_ref in verified_sources.items():
if claim_substr.lower() in sent.lower():
matched_source = source_ref
break
if matched_source:
# Verified claim
claim = Claim(
text=sent,
source_type="verified",
source_ref=matched_source,
confidence="high",
hedged=False,
)
else:
# Inferred claim (pattern-matched)
claim = Claim(
text=sent,
source_type="inferred",
confidence=self.default_confidence,
hedged=self._has_hedge(sent),
)
if not claim.hedged:
has_unverified = True
claims.append(claim)
# Render the annotated response
rendered = self._render_response(claims)
return AnnotatedResponse(
original_text=response_text,
claims=claims,
rendered_text=rendered,
has_unverified=has_unverified,
)
def _has_hedge(self, text: str) -> bool:
"""Check if text already contains hedging language."""
text_lower = text.lower()
for prefix in self.HEDGE_PREFIXES:
if text_lower.startswith(prefix.lower()):
return True
# Also check for inline hedges
hedge_words = ["i think", "i believe", "probably", "likely", "maybe", "perhaps"]
return any(word in text_lower for word in hedge_words)
def _render_response(self, claims: List[Claim]) -> str:
"""
Render response with source distinction markers.
Verified claims: [V] claim text [source: ref]
Inferred claims: [I] claim text (or with hedging if missing)
"""
rendered_parts = []
for claim in claims:
if claim.source_type == "verified":
part = f"[V] {claim.text}"
if claim.source_ref:
part += f" [source: {claim.source_ref}]"
else: # inferred
if not claim.hedged:
# Add hedging if missing
hedged_text = f"I think {claim.text[0].lower()}{claim.text[1:]}" if claim.text else claim.text
part = f"[I] {hedged_text}"
else:
part = f"[I] {claim.text}"
rendered_parts.append(part)
return " ".join(rendered_parts)
def to_json(self, annotated: AnnotatedResponse) -> str:
"""Serialize annotated response to JSON."""
return json.dumps(
{
"original_text": annotated.original_text,
"rendered_text": annotated.rendered_text,
"has_unverified": annotated.has_unverified,
"claims": [asdict(c) for c in annotated.claims],
},
indent=2,
ensure_ascii=False,
)

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@@ -1,176 +0,0 @@
from __future__ import annotations
import json
import subprocess
import sys
from datetime import date
from pathlib import Path
from scripts.burn_velocity_tracker import build_velocity_report, render_markdown, update_history
ROOT = Path(__file__).resolve().parent.parent
DOC_PATH = ROOT / "docs" / "BURN_VELOCITY_TRACKING.md"
SNAPSHOT = {
"generated_at": "2026-04-22T12:00:00Z",
"repos": {
"timmy-home": {
"open_issues": [
{"number": 501, "state": "open", "created_at": "2026-04-20T09:00:00Z"},
{"number": 502, "state": "open", "created_at": "2026-04-22T07:00:00Z"},
],
"recent_issues": [
{"number": 401, "state": "closed", "created_at": "2026-04-21T09:00:00Z", "closed_at": "2026-04-22T05:30:00Z"},
{"number": 402, "state": "closed", "created_at": "2026-04-20T09:00:00Z", "closed_at": "2026-04-21T05:30:00Z"},
{"number": 403, "state": "closed", "created_at": "2026-04-19T09:00:00Z", "closed_at": "2026-04-20T05:30:00Z"},
{"number": 404, "state": "closed", "created_at": "2026-04-14T09:00:00Z", "closed_at": "2026-04-15T05:30:00Z"},
{"number": 405, "state": "closed", "created_at": "2026-04-13T09:00:00Z", "closed_at": "2026-04-14T05:30:00Z"},
{"number": 406, "state": "closed", "created_at": "2026-04-12T09:00:00Z", "closed_at": "2026-04-13T05:30:00Z"},
{"number": 407, "state": "closed", "created_at": "2026-04-11T09:00:00Z", "closed_at": "2026-04-12T05:30:00Z"},
{"number": 408, "state": "closed", "created_at": "2026-04-10T09:00:00Z", "closed_at": "2026-04-11T05:30:00Z"},
{"number": 409, "state": "closed", "created_at": "2026-04-09T09:00:00Z", "closed_at": "2026-04-10T05:30:00Z"},
{"number": 410, "state": "closed", "created_at": "2026-04-08T09:00:00Z", "closed_at": "2026-04-09T05:30:00Z"},
{"number": 411, "state": "closed", "created_at": "2026-04-07T09:00:00Z", "closed_at": "2026-04-08T05:30:00Z"},
{"number": 412, "state": "closed", "created_at": "2026-04-06T09:00:00Z", "closed_at": "2026-04-07T05:30:00Z"},
{"number": 413, "state": "closed", "created_at": "2026-04-05T09:00:00Z", "closed_at": "2026-04-06T05:30:00Z"},
{"number": 414, "state": "open", "created_at": "2026-04-22T08:45:00Z", "closed_at": None},
{"number": 415, "state": "open", "created_at": "2026-04-17T08:45:00Z", "closed_at": None},
],
},
"timmy-config": {
"open_issues": [
{"number": 601, "state": "open", "created_at": "2026-04-18T09:00:00Z"},
],
"recent_issues": [
{"number": 602, "state": "closed", "created_at": "2026-04-20T09:00:00Z", "closed_at": "2026-04-21T06:00:00Z"},
{"number": 603, "state": "open", "created_at": "2026-04-22T06:00:00Z", "closed_at": None},
],
},
},
}
CONFIG = {
"owner": "Timmy_Foundation",
"repos": ["timmy-home", "timmy-config"],
"lookback_days": 14,
"alert": {
"recent_days": 7,
"baseline_days": 7,
"minimum_baseline_closed": 4,
"drop_ratio": 0.6,
},
}
def test_build_velocity_report_counts_opened_closed_and_flags_drop_alert() -> None:
report = build_velocity_report(CONFIG, SNAPSHOT, today=date(2026, 4, 22))
assert report["generated_day"] == "2026-04-22"
assert report["summary"]["repos_with_alerts"] == ["timmy-home"]
assert report["summary"]["total_open_now"] == 3
home = report["repos"][0]
assert home["repo"] == "timmy-home"
assert home["open_now"] == 2
assert home["opened_last_7d"] == 5
assert home["closed_last_7d"] == 3
assert home["baseline_closed"] == 7
assert home["weekly_net"] == 2
assert home["alert"]["status"] == "drop"
assert home["alert"]["recent_closed"] == 3
assert home["daily"][-1] == {"date": "2026-04-22", "opened": 1, "closed": 1}
timmy_config = report["repos"][1]
assert timmy_config["repo"] == "timmy-config"
assert timmy_config["open_now"] == 1
assert timmy_config["closed_last_7d"] == 1
assert timmy_config["alert"]["status"] == "ok"
def test_render_markdown_includes_dashboard_handoff_and_alerts() -> None:
report = build_velocity_report(CONFIG, SNAPSHOT, today=date(2026, 4, 22))
rendered = render_markdown(report)
for snippet in (
"# Burn-down Velocity Tracking",
"## Per-repo velocity",
"timmy-home",
"timmy-config",
"## Dashboard handoff for timmy-config",
"velocity_drop",
"## Alerts",
):
assert snippet in rendered
def test_update_history_replaces_same_day_snapshot(tmp_path: Path) -> None:
history_path = tmp_path / "burn-velocity-history.json"
report = build_velocity_report(CONFIG, SNAPSHOT, today=date(2026, 4, 22))
update_history(history_path, report)
updated = json.loads(json.dumps(report))
updated["repos"][0]["open_now"] = 9
updated["summary"]["total_open_now"] = 10
update_history(history_path, updated)
history = json.loads(history_path.read_text(encoding="utf-8"))
assert [item["date"] for item in history["days"]] == ["2026-04-22"]
assert history["days"][0]["summary"]["total_open_now"] == 10
assert history["days"][0]["repos"][0]["open_now"] == 9
def test_cli_writes_json_markdown_and_history_from_snapshot(tmp_path: Path) -> None:
snapshot_path = tmp_path / "snapshot.json"
output_json = tmp_path / "latest.json"
output_md = tmp_path / "latest.md"
history_path = tmp_path / "history.json"
snapshot_path.write_text(json.dumps(SNAPSHOT), encoding="utf-8")
result = subprocess.run(
[
sys.executable,
"-m",
"scripts.burn_velocity_tracker",
"--snapshot-file",
str(snapshot_path),
"--today",
"2026-04-22",
"--output-json",
str(output_json),
"--output-md",
str(output_md),
"--history-file",
str(history_path),
"--write-history",
"--json",
],
check=True,
cwd=ROOT,
capture_output=True,
text=True,
)
payload = json.loads(result.stdout)
assert payload["summary"]["repos_with_alerts"] == ["timmy-home"]
assert output_json.exists()
assert output_md.exists()
assert history_path.exists()
assert "timmy-config" in output_md.read_text(encoding="utf-8")
def test_repo_contains_burn_velocity_tracking_doc() -> None:
text = DOC_PATH.read_text(encoding="utf-8")
required = [
"# Burn-down Velocity Tracking",
"python3 scripts/burn_velocity_tracker.py",
"configs/burn_velocity_repos.json",
"~/.timmy/burn-velocity/latest.json",
"timmy-config dashboard",
"type=issues",
"velocity_drop",
]
for snippet in required:
assert snippet in text

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@@ -0,0 +1,103 @@
#!/usr/bin/env python3
"""Tests for claim_annotator.py — verifies source distinction is present."""
import sys
import os
import json
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "src"))
from timmy.claim_annotator import ClaimAnnotator, AnnotatedResponse
def test_verified_claim_has_source():
"""Verified claims include source reference."""
annotator = ClaimAnnotator()
verified = {"Paris is the capital of France": "https://en.wikipedia.org/wiki/Paris"}
response = "Paris is the capital of France. It is a beautiful city."
result = annotator.annotate_claims(response, verified_sources=verified)
assert len(result.claims) > 0
verified_claims = [c for c in result.claims if c.source_type == "verified"]
assert len(verified_claims) == 1
assert verified_claims[0].source_ref == "https://en.wikipedia.org/wiki/Paris"
assert "[V]" in result.rendered_text
assert "[source:" in result.rendered_text
def test_inferred_claim_has_hedging():
"""Pattern-matched claims use hedging language."""
annotator = ClaimAnnotator()
response = "The weather is nice today. It might rain tomorrow."
result = annotator.annotate_claims(response)
inferred_claims = [c for c in result.claims if c.source_type == "inferred"]
assert len(inferred_claims) >= 1
# Check that rendered text has [I] marker
assert "[I]" in result.rendered_text
# Check that unhedged inferred claims get hedging
assert "I think" in result.rendered_text or "I believe" in result.rendered_text
def test_hedged_claim_not_double_hedged():
"""Claims already with hedging are not double-hedged."""
annotator = ClaimAnnotator()
response = "I think the sky is blue. It is a nice day."
result = annotator.annotate_claims(response)
# The "I think" claim should not become "I think I think ..."
assert "I think I think" not in result.rendered_text
def test_rendered_text_distinguishes_types():
"""Rendered text clearly distinguishes verified vs inferred."""
annotator = ClaimAnnotator()
verified = {"Earth is round": "https://science.org/earth"}
response = "Earth is round. Stars are far away."
result = annotator.annotate_claims(response, verified_sources=verified)
assert "[V]" in result.rendered_text # verified marker
assert "[I]" in result.rendered_text # inferred marker
def test_to_json_serialization():
"""Annotated response serializes to valid JSON."""
annotator = ClaimAnnotator()
response = "Test claim."
result = annotator.annotate_claims(response)
json_str = annotator.to_json(result)
parsed = json.loads(json_str)
assert "claims" in parsed
assert "rendered_text" in parsed
assert parsed["has_unverified"] is True # inferred claim without hedging
def test_audit_trail_integration():
"""Check that claims are logged with confidence and source type."""
# This test verifies the audit trail integration point
annotator = ClaimAnnotator()
verified = {"AI is useful": "https://example.com/ai"}
response = "AI is useful. It can help with tasks."
result = annotator.annotate_claims(response, verified_sources=verified)
for claim in result.claims:
assert claim.source_type in ("verified", "inferred")
assert claim.confidence in ("high", "medium", "low", "unknown")
if claim.source_type == "verified":
assert claim.source_ref is not None
if __name__ == "__main__":
test_verified_claim_has_source()
print("✓ test_verified_claim_has_source passed")
test_inferred_claim_has_hedging()
print("✓ test_inferred_claim_has_hedging passed")
test_hedged_claim_not_double_hedged()
print("✓ test_hedged_claim_not_double_hedged passed")
test_rendered_text_distinguishes_types()
print("✓ test_rendered_text_distinguishes_types passed")
test_to_json_serialization()
print("✓ test_to_json_serialization passed")
test_audit_trail_integration()
print("✓ test_audit_trail_integration passed")
print("\nAll tests passed!")