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sprint/iss
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20
SOUL.md
20
SOUL.md
@@ -137,6 +137,26 @@ The inscription predates any given model. It will outlast every API.
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---
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## What Honesty Requires
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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.
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The following are not optional. Any implementation that calls itself Timmy must build them.
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**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.
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**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.
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**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.
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**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.
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**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.
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**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.
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---
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## For the Audio Overview
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If you are listening to this as a NotebookLM Audio Overview:
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48
luna/README.md
Normal file
48
luna/README.md
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@@ -0,0 +1,48 @@
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# LUNA-1: Pink Unicorn Game — Project Scaffolding
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Starter project for Mackenzie's Pink Unicorn Game built with **p5.js 1.9.0**.
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## Quick Start
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```bash
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cd luna
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python3 -m http.server 8080
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# Visit http://localhost:8080
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```
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Or simply open `luna/index.html` directly in a browser.
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## Controls
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| Input | Action |
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|-------|--------|
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| Tap / Click | Move unicorn toward tap point |
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| `r` key | Reset unicorn to center |
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## Features
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- Mobile-first touch handling (`touchStarted`)
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- Easing movement via `lerp`
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- Particle burst feedback on tap
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- Pink/unicorn color palette
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- Responsive canvas (adapts to window resize)
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## Project Structure
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```
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luna/
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├── index.html # p5.js CDN import + canvas container
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├── sketch.js # Main game logic and rendering
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├── style.css # Pink/unicorn theme, responsive layout
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└── README.md # This file
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```
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## Verification
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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.
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## Technical Notes
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- p5.js loaded from CDN (no build step)
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- `colorMode(RGB, 255)`; palette defined in code
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- Particles are simple fading circles; removed when `life <= 0`
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18
luna/index.html
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18
luna/index.html
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@@ -0,0 +1,18 @@
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8" />
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<meta name="viewport" content="width=device-width, initial-scale=1.0" />
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<title>LUNA-3: Simple World — Floating Islands</title>
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<script src="https://cdnjs.cloudflare.com/ajax/libs/p5.js/1.9.0/p5.min.js"></script>
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<link rel="stylesheet" href="style.css" />
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</head>
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<body>
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<div id="luna-container"></div>
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<div id="hud">
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<span id="score">Crystals: 0/0</span>
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<span id="position"></span>
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</div>
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<script src="sketch.js"></script>
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</body>
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</html>
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289
luna/sketch.js
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289
luna/sketch.js
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@@ -0,0 +1,289 @@
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/**
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* LUNA-3: Simple World — Floating Islands & Collectible Crystals
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* Builds on LUNA-1 scaffold (unicorn tap-follow) + LUNA-2 actions
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*
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* NEW: Floating platforms + collectible crystals with particle bursts
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*/
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let particles = [];
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let unicornX, unicornY;
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let targetX, targetY;
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// Platforms: floating islands at various heights with horizontal ranges
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const islands = [
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{ x: 100, y: 350, w: 150, h: 20, color: [100, 200, 150] }, // left island
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{ x: 350, y: 280, w: 120, h: 20, color: [120, 180, 200] }, // middle-high island
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{ x: 550, y: 320, w: 140, h: 20, color: [200, 180, 100] }, // right island
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{ x: 200, y: 180, w: 180, h: 20, color: [180, 140, 200] }, // top-left island
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{ x: 500, y: 120, w: 100, h: 20, color: [140, 220, 180] }, // top-right island
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];
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// Collectible crystals on islands
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const crystals = [];
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islands.forEach((island, i) => {
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// 2–3 crystals per island, placed near center
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const count = 2 + floor(random(2));
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for (let j = 0; j < count; j++) {
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crystals.push({
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x: island.x + 30 + random(island.w - 60),
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y: island.y - 30 - random(20),
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size: 8 + random(6),
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hue: random(280, 340), // pink/purple range
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collected: false,
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islandIndex: i
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});
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}
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});
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let collectedCount = 0;
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const TOTAL_CRYSTALS = crystals.length;
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// Pink/unicorn palette
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const PALETTE = {
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background: [255, 210, 230], // light pink (overridden by gradient in draw)
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unicorn: [255, 182, 193], // pale pink/white
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horn: [255, 215, 0], // gold
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mane: [255, 105, 180], // hot pink
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eye: [255, 20, 147], // deep pink
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sparkle: [255, 105, 180],
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island: [100, 200, 150],
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};
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function setup() {
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const container = document.getElementById('luna-container');
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const canvas = createCanvas(600, 500);
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canvas.parent('luna-container');
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unicornX = width / 2;
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unicornY = height - 60; // start on ground (bottom platform equivalent)
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targetX = unicornX;
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targetY = unicornY;
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noStroke();
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addTapHint();
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}
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function draw() {
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// Gradient sky background
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for (let y = 0; y < height; y++) {
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const t = y / height;
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const r = lerp(26, 15, t); // #1a1a2e → #0f3460
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const g = lerp(26, 52, t);
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const b = lerp(46, 96, t);
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stroke(r, g, b);
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line(0, y, width, y);
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}
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// Draw islands (floating platforms with subtle shadow)
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islands.forEach(island => {
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push();
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// Shadow
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fill(0, 0, 0, 40);
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ellipse(island.x + island.w/2 + 5, island.y + 5, island.w + 10, island.h + 6);
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// Island body
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fill(island.color[0], island.color[1], island.color[2]);
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ellipse(island.x + island.w/2, island.y, island.w, island.h);
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// Top highlight
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fill(255, 255, 255, 60);
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ellipse(island.x + island.w/2, island.y - island.h/3, island.w * 0.6, island.h * 0.3);
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pop();
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});
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// Draw crystals (glowing collectibles)
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crystals.forEach(c => {
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if (c.collected) return;
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push();
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translate(c.x, c.y);
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// Glow aura
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const glow = color(`hsla(${c.hue}, 80%, 70%, 0.4)`);
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noStroke();
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fill(glow);
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ellipse(0, 0, c.size * 2.2, c.size * 2.2);
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// Crystal body (diamond shape)
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const ccol = color(`hsl(${c.hue}, 90%, 75%)`);
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fill(ccol);
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beginShape();
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vertex(0, -c.size);
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vertex(c.size * 0.6, 0);
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vertex(0, c.size);
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vertex(-c.size * 0.6, 0);
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endShape(CLOSE);
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// Inner sparkle
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fill(255, 255, 255, 180);
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ellipse(0, 0, c.size * 0.5, c.size * 0.5);
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pop();
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});
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// Unicorn smooth movement towards target
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unicornX = lerp(unicornX, targetX, 0.08);
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unicornY = lerp(unicornY, targetY, 0.08);
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// Constrain unicorn to screen bounds
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unicornX = constrain(unicornX, 40, width - 40);
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unicornY = constrain(unicornY, 40, height - 40);
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// Draw sparkles
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drawSparkles();
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// Draw the unicorn
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drawUnicorn(unicornX, unicornY);
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// Collection detection
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for (let c of crystals) {
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if (c.collected) continue;
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const d = dist(unicornX, unicornY, c.x, c.y);
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if (d < 35) {
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c.collected = true;
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collectedCount++;
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createCollectionBurst(c.x, c.y, c.hue);
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}
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}
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// Update particles
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updateParticles();
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// Update HUD
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document.getElementById('score').textContent = `Crystals: ${collectedCount}/${TOTAL_CRYSTALS}`;
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document.getElementById('position').textContent = `(${floor(unicornX)}, ${floor(unicornY)})`;
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}
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function drawUnicorn(x, y) {
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push();
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translate(x, y);
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// Body
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noStroke();
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fill(PALETTE.unicorn);
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ellipse(0, 0, 60, 40);
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// Head
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ellipse(30, -20, 30, 25);
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// Mane (flowing)
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fill(PALETTE.mane);
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for (let i = 0; i < 5; i++) {
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ellipse(-10 + i * 12, -50, 12, 25);
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}
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// Horn
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push();
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translate(30, -35);
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rotate(-PI / 6);
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fill(PALETTE.horn);
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triangle(0, 0, -8, -35, 8, -35);
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pop();
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// Eye
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fill(PALETTE.eye);
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ellipse(38, -22, 8, 8);
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// Legs
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stroke(PALETTE.unicorn[0] - 40);
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strokeWeight(6);
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line(-20, 20, -20, 45);
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line(20, 20, 20, 45);
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pop();
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}
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function drawSparkles() {
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// Random sparkles around the unicorn when moving
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if (abs(targetX - unicornX) > 1 || abs(targetY - unicornY) > 1) {
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for (let i = 0; i < 3; i++) {
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let angle = random(TWO_PI);
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let r = random(20, 50);
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let sx = unicornX + cos(angle) * r;
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let sy = unicornY + sin(angle) * r;
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stroke(PALETTE.sparkle[0], PALETTE.sparkle[1], PALETTE.sparkle[2], 150);
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strokeWeight(2);
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point(sx, sy);
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}
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}
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}
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function createCollectionBurst(x, y, hue) {
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// Burst of particles spiraling outward
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for (let i = 0; i < 20; i++) {
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let angle = random(TWO_PI);
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let speed = random(2, 6);
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particles.push({
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x: x,
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y: y,
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vx: cos(angle) * speed,
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vy: sin(angle) * speed,
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life: 60,
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color: `hsl(${hue + random(-20, 20)}, 90%, 70%)`,
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size: random(3, 6)
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});
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}
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// Bonus sparkle ring
|
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for (let i = 0; i < 12; i++) {
|
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let angle = random(TWO_PI);
|
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particles.push({
|
||||
x: x,
|
||||
y: y,
|
||||
vx: cos(angle) * 4,
|
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vy: sin(angle) * 4,
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life: 40,
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color: 'rgba(255, 215, 0, 0.9)',
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size: 4
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||||
});
|
||||
}
|
||||
}
|
||||
|
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function updateParticles() {
|
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for (let i = particles.length - 1; i >= 0; i--) {
|
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let p = particles[i];
|
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p.x += p.vx;
|
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p.y += p.vy;
|
||||
p.vy += 0.1; // gravity
|
||||
p.life--;
|
||||
p.vx *= 0.95;
|
||||
p.vy *= 0.95;
|
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if (p.life <= 0) {
|
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particles.splice(i, 1);
|
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continue;
|
||||
}
|
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push();
|
||||
stroke(p.color);
|
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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++) {
|
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particles.push({
|
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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
|
||||
});
|
||||
}
|
||||
}
|
||||
32
luna/style.css
Normal file
32
luna/style.css
Normal file
@@ -0,0 +1,32 @@
|
||||
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; }
|
||||
73
specs/fleet-operator-incentives.md
Normal file
73
specs/fleet-operator-incentives.md
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@@ -0,0 +1,73 @@
|
||||
# Fleet Operator Incentives Program
|
||||
|
||||
## 1. Overview
|
||||
|
||||
The Fleet Operator Incentives Program is designed to recruit, certify, and retain high-quality fleet operators who will maintain and operate vehicle fleets with >99.5% uptime. Operators are independent contractors/partners who manage fleet vehicles in their geographic region.
|
||||
|
||||
## 2. Operator Tiers & Compensation
|
||||
|
||||
### Tier 1: Certified Operator (Entry)
|
||||
- **Requirements:** Complete operator training, pass certification exam, maintain 99%+ uptime for 30 days
|
||||
- **Compensation:** Base rate $X/vehicle/month + $Y per completed trip
|
||||
- **Benefits:** Access to fleet management tools, priority support, basic insurance options
|
||||
|
||||
### Tier 2: Senior Operator
|
||||
- **Requirements:** 6+ months as Certified Operator, 99.5%+ uptime, mentor 1+ new operator
|
||||
- **Compensation:** Base rate +15% + $Z per completed trip + quarterly bonus
|
||||
- **Benefits:** Higher trip priority, advanced analytics dashboard, referral bonuses
|
||||
|
||||
### Tier 3: Master Operator
|
||||
- **Requirements:** 12+ months, 99.8%+ uptime, mentor 3+ operators, zero critical incidents
|
||||
- **Compensation:** Base rate +30% + highest per-trip rate + annual profit-sharing
|
||||
- **Benefits:** Fleet expansion privileges, dedicated account manager, revenue share on referred partners
|
||||
|
||||
## 3. Performance Metrics & Incentives
|
||||
|
||||
| Metric | Target | Incentive |
|
||||
|--------|--------|-----------|
|
||||
| Uptime | >99.5% | $200/month bonus per 0.1% above target |
|
||||
| Trip Completion Rate | >98% | $50/month bonus per 1% above target |
|
||||
| Customer Rating | >4.8/5.0 | Tier multiplier (1.0x-1.25x) |
|
||||
| Safety Incidents | 0 | $500/month safety bonus |
|
||||
| Referral Conversions | 3+/quarter | $250 per converted referral |
|
||||
|
||||
## 4. Certification Process
|
||||
|
||||
1. **Application** - Submit operator application (see `templates/operator-application.md`)
|
||||
2. **Training** - Complete 40-hour online + 20-hour on-ground training
|
||||
3. **Exam** - Pass written (80%+) and practical assessments
|
||||
4. **Probation** - 30-day supervised operation period
|
||||
5. **Certification** - Full operator status with tier assignment
|
||||
|
||||
## 5. Retention & Churn Reduction
|
||||
|
||||
### Success Criteria
|
||||
- Operator churn <10% annually
|
||||
- Net Promoter Score (NPS) >50 among operators
|
||||
- 90%+ operator renewal rate
|
||||
|
||||
### Retention Strategies
|
||||
- Monthly operator roundtables and feedback sessions
|
||||
- Quarterly operator appreciation events
|
||||
- Tier-based recognition and public accolades
|
||||
- Progressive compensation increases tied to tenure
|
||||
- Operator advisory council influence on policy
|
||||
|
||||
## 6. Fleet Uptime Guarantees
|
||||
|
||||
- **Target:** >99.5% fleet uptime
|
||||
- **SLA Credits:** Operators earn credits toward tier status for maintaining uptime
|
||||
- **Support:** 24/7 dispatch and maintenance coordination
|
||||
- **Preventive Maintenance:** Scheduled maintenance windows with ride credits
|
||||
|
||||
## 7. Quality Assurance
|
||||
|
||||
- Random trip audits (5% minimum)
|
||||
- Quarterly recertification for Tier 2+
|
||||
- Customer feedback monitoring
|
||||
- Incident review board for safety events
|
||||
|
||||
---
|
||||
|
||||
*Last Updated: 2026-Q1*
|
||||
*Owner: Fleet Operations Committee*
|
||||
113
specs/fleet-ops-runbook.md
Normal file
113
specs/fleet-ops-runbook.md
Normal file
@@ -0,0 +1,113 @@
|
||||
# Fleet Operations Runbook
|
||||
|
||||
## 1. Daily Operator Checklist
|
||||
|
||||
### Pre-Shift
|
||||
- [ ] Vehicle inspection (tires, fluids, lights, brakes)
|
||||
- [ ] Cleanliness check (interior/exior)
|
||||
- [ ] Battery charge level >80%
|
||||
- [ ] Tire pressure verification
|
||||
- [ ] Update availability status in fleet app
|
||||
|
||||
### During Shift
|
||||
- [ ] Accept trips within assigned zone
|
||||
- [ ] Complete pre-trip safety check in app
|
||||
- [ ] Maintain communication with dispatch
|
||||
- [ ] Log all incidents immediately
|
||||
- [ ] Monitor real-time uptime metrics
|
||||
|
||||
### Post-Shift
|
||||
- [ ] Vehicle cleaning and sanitization
|
||||
- [ ] End-of-day vehicle inspection
|
||||
- [ ] Submit shift report (any issues)
|
||||
- [ ] Charge vehicle to >90%
|
||||
- [ ] Secure vehicle per protocol
|
||||
|
||||
## 2. Maintenance Procedures
|
||||
|
||||
### Routine Maintenance Schedule
|
||||
- **Daily:** Visual inspection, tire pressure, fluid checks
|
||||
- **Weekly:** Brake inspection, battery health check, software updates
|
||||
- **Monthly:** Full service (oil, filters, brakes, alignment, battery test)
|
||||
- **Quarterly:** Comprehensive inspection, certification renewal prep
|
||||
|
||||
### Emergency Maintenance
|
||||
1. Pull over safely and activate hazards
|
||||
2. Contact dispatch via priority line
|
||||
3. Use fleet app to report issue with photos
|
||||
4. Dispatch arranges tow/replacement vehicle
|
||||
5. Complete incident report within 2 hours
|
||||
|
||||
## 3. Incident Response
|
||||
|
||||
### Accident Protocol
|
||||
1. Ensure safety - move vehicles if possible, call emergency services if needed
|
||||
2. Document scene (photos, witness info, police report if applicable)
|
||||
3. Notify dispatch immediately (Priority 1)
|
||||
4. Complete incident report in fleet app within 1 hour
|
||||
5. Cooperate with insurance and safety review
|
||||
|
||||
### Customer Complaint
|
||||
1. Listen actively, de-escalate if needed
|
||||
2. Document complaint details immediately
|
||||
3. Escalate to dispatch supervisor within 15 minutes
|
||||
4. Follow resolution process in fleet app
|
||||
5. Follow up with customer within 24 hours (if appropriate)
|
||||
|
||||
## 4. Dispatch & Communication
|
||||
|
||||
### Contact Channels
|
||||
- **Primary:** Fleet mobile app (push notifications, in-app messaging)
|
||||
- **Urgent:** Dispatch hotline (24/7)
|
||||
- **Routine:** Email/Slack channel
|
||||
- **Emergency:** SMS to +1-xxx-xxx-xxxx
|
||||
|
||||
### Availability Requirements
|
||||
- Certified Operators: Minimum 20 hours/week
|
||||
- Senior Operators: Minimum 25 hours/week
|
||||
- Master Operators: Minimum 30 hours/week + on-call rotations
|
||||
|
||||
## 5. Escalation Matrix
|
||||
|
||||
| Issue Type | First Response | Escalation To | SLA Resolution |
|
||||
|------------|----------------|---------------|----------------|
|
||||
| Vehicle breakdown | 15 minutes | Dispatch Lead | 2 hours |
|
||||
| Accident/incident | Immediate | Safety Manager | 24 hours |
|
||||
| Customer complaint | 30 minutes | Customer Success | 4 hours |
|
||||
| Technical issue | 1 hour | Tech Support | 8 hours |
|
||||
| Payment discrepancy | 2 hours | Finance | 24 hours |
|
||||
|
||||
## 6. Key Performance Indicators (KPIs)
|
||||
|
||||
### Operator KPIs
|
||||
- **Uptime:** Vehicle available >99.5%
|
||||
- **Completion Rate:** Trips completed vs. accepted >98%
|
||||
- **Customer Rating:** Average >4.8/5.0
|
||||
- **Safety:** Zero preventable incidents
|
||||
- **Utilization:** Active hours >80% of scheduled
|
||||
|
||||
### Fleet KPIs
|
||||
- **Vehicle Health:** Maintenance compliance 100%
|
||||
- **Response Time:** Average dispatch acceptance <30 seconds
|
||||
- **Coverage:** Zone availability >95%
|
||||
|
||||
## 7. Troubleshooting Common Issues
|
||||
|
||||
| Issue | Self-Help Steps | Support Ticket |
|
||||
|-------|-----------------|----------------|
|
||||
| App not connecting | 1. Restart app 2. Check data/WiFi 3. Re-login | If unresolved after 5 min |
|
||||
| Vehicle won't start | 1. Check charge 2. Try reset 3. Call dispatch | Always |
|
||||
| Navigation error | 1. Refresh GPS 2. Re-enter destination 3. Use backup map | If trip impacted |
|
||||
| Payment question | 1. Check earnings tab 2. Review last 7 days | Non-urgent |
|
||||
|
||||
## 8. Compliance & Regulations
|
||||
|
||||
- All operators must maintain valid driver's license and clean driving record
|
||||
- Commercial insurance requirements (provided by program)
|
||||
- Local transportation regulations compliance
|
||||
- Background check and drug screening (initial + random)
|
||||
- Safety training certification renewal annually
|
||||
|
||||
---
|
||||
|
||||
*Version: 1.0* | *Effective: 2026-Q1* | *Next Review: 2026-Q2*
|
||||
134
specs/templates/operator-application.md
Normal file
134
specs/templates/operator-application.md
Normal file
@@ -0,0 +1,134 @@
|
||||
---
|
||||
application_id: OP-{{YYYYMMDD}}-{{SEQ}}
|
||||
submission_date: {{DATE}}
|
||||
status: pending_review
|
||||
---
|
||||
|
||||
# Fleet Operator Application
|
||||
|
||||
## 1. Personal Information
|
||||
|
||||
| Field | Value |
|
||||
|-------|-------|
|
||||
| Full Legal Name | |
|
||||
| Date of Birth | |
|
||||
| Email Address | |
|
||||
| Phone Number | |
|
||||
| Address (Primary) | |
|
||||
| Address (Vehicle Storage) | |
|
||||
| Driver's License Number | |
|
||||
| License State | |
|
||||
| License Expiration | |
|
||||
| Years Licensed | |
|
||||
|
||||
## 2. Driving & Fleet Experience
|
||||
|
||||
### Driving History
|
||||
- **Total Years Driving:** __
|
||||
- **Years Commercial/Professional:** __
|
||||
- **Accidents (past 3 years):** __
|
||||
- **Traffic Violations (past 3 years):** __
|
||||
- **Safety Courses Completed:** (list)
|
||||
|
||||
### Fleet/Transport Experience
|
||||
- **Previous Fleet Operator Role(s):** (company, dates, fleet size)
|
||||
- **Vehicle Types Operated:** (sedan, SUV, van, truck, EV, etc.)
|
||||
- **Telematics/Fleet App Experience:** (yes/no, systems used)
|
||||
- **Maintenance Experience:** (basic, intermediate, advanced)
|
||||
|
||||
## 3. Availability & Commitment
|
||||
|
||||
### Weekly Availability
|
||||
| Day | Morning (6a-12p) | Afternoon (12p-6p) | Evening (6p-12a) |
|
||||
|-----|-------------------|---------------------|-------------------|
|
||||
| Monday | ☐ | ☐ | ☐ |
|
||||
| Tuesday | ☐ | ☐ | ☐ |
|
||||
| Wednesday | ☐ | ☐ | ☐ |
|
||||
| Thursday | ☐ | ☐ | ☐ |
|
||||
| Friday | ☐ | ☐ | ☐ |
|
||||
| Saturday | ☐ | ☐ | ☐ |
|
||||
| Sunday | ☐ | ☐ | ☐ |
|
||||
|
||||
**Minimum Commitment:** ___ hours per week
|
||||
|
||||
### Geographic Coverage
|
||||
- **Home Base/Preferred Zone:** _______________
|
||||
- **Willing to operate in:** (list additional zones)
|
||||
- **Willing to travel/relocate:** (yes/no, distance limit)
|
||||
|
||||
## 4. Equipment & Resources
|
||||
|
||||
- [ ] **Vehicle Eligible:** Own or lease qualifying vehicle (min. 2020 model, <50k miles)
|
||||
- **Make/Model/Year:** ___________
|
||||
- **VIN:** ___________
|
||||
- **Current Mileage:** ___________
|
||||
- **Insurance:** (provider, policy number, coverage limits)
|
||||
|
||||
- [ ] **Smartphone:** Compatible iOS/Android device with data plan
|
||||
- [ ] **Charging Access:** For EVs - home/work charging available (yes/no)
|
||||
|
||||
- [ ] **Tools/Equipment:** (basic toolkit, cleaning supplies, etc.)
|
||||
|
||||
## 5. Financial & Background
|
||||
|
||||
- **Bank Account for Direct Deposit:** (routing & account)
|
||||
- **Tax Information:** (SSN or EIN, expected business structure)
|
||||
- **Background Check Authorization:** ☐ I authorize criminal and driving record check
|
||||
- **Credit Check Authorization:** ☐ I authorize credit check (if required for vehicle financing)
|
||||
|
||||
## 6. Motivation & References
|
||||
|
||||
### Why do you want to become a Fleet Operator?
|
||||
_(min. 100 words)_
|
||||
|
||||
### What makes you a good candidate for fleet operations?
|
||||
_(reliability, customer service, mechanical aptitude, etc.)_
|
||||
|
||||
### Professional References
|
||||
1. **Name:** _________ **Relationship:** _________ **Phone/Email:** _________
|
||||
2. **Name:** _________ **Relationship:** _________ **Phone/Email:** _________
|
||||
|
||||
## 7. Certifications & Training
|
||||
|
||||
- [ ] Defensive Driving Course (if completed)
|
||||
- [ ] Commercial Driver's License (CDL) - if required for vehicle class
|
||||
- [ ] First Aid/CPR Certification
|
||||
- [ ] Other: _______________
|
||||
|
||||
## 8. Agreement & Signature
|
||||
|
||||
By submitting this application, I certify that:
|
||||
- All information provided is accurate and complete
|
||||
- I consent to background and driving record checks
|
||||
- I will maintain required insurance coverage
|
||||
- I will comply with all fleet policies, safety protocols, and regulations
|
||||
- I understand this is an independent contractor role, not employment
|
||||
- I have read and agree to the Fleet Operator Agreement
|
||||
|
||||
**Signature:** _________________________
|
||||
|
||||
**Date:** _________________
|
||||
|
||||
---
|
||||
|
||||
### Internal Use Only
|
||||
|
||||
| Review Step | Completed By | Date | Notes |
|
||||
|-------------|--------------|------|-------|
|
||||
| Application Received | | | |
|
||||
| Background Check Initiated | | | |
|
||||
| Driving Record Review | | | |
|
||||
| Vehicle Inspection (if applicable) | | | |
|
||||
| Interview Scheduled | | | |
|
||||
| Certification Training Assigned | | | |
|
||||
| Final Approval | | | |
|
||||
|
||||
**Application Status:** ☐ Approved ☐ Denied ☐ Additional Info Needed
|
||||
|
||||
**Tier Assignment:** ☐ Tier 1 (Certified) ☐ Tier 2 (Senior) ☐ Tier 3 (Master)
|
||||
|
||||
**Assigned Zone/Area:** ___________________
|
||||
|
||||
**Mentor (if Tier 1):** ___________________
|
||||
|
||||
**Follow-up Required:** ___________________
|
||||
224
specs/templates/partner-report.md
Normal file
224
specs/templates/partner-report.md
Normal file
@@ -0,0 +1,224 @@
|
||||
# Partner Channel Report
|
||||
|
||||
**Reporting Period:** {{START_DATE}} – {{END_DATE}}
|
||||
**Partner ID:** {{PARTNER_ID}}
|
||||
**Partner Name:** {{PARTNER_NAME}}
|
||||
**Report Generated:** {{GENERATION_DATE}}
|
||||
|
||||
---
|
||||
|
||||
## 1. Executive Summary
|
||||
|
||||
| Metric | Period Value | Target | Variance | Trend |
|
||||
|--------|--------------|--------|----------|-------|
|
||||
| Total Leads Generated | {{LEADS_TOTAL}} | — | — | {{LEADS_TREND}} |
|
||||
| Qualified Leads | {{LEADS_QUALIFIED}} | — | — | {{QUALIFIED_TREND}} |
|
||||
| Conversion Rate | {{CONVERSION_RATE}}% | >30% | {{CONVERSION_VARIANCE}}% | {{CONVERSION_TREND}} |
|
||||
| Active Certified Operators | {{ACTIVE_OPERATORS}} | 3-5 | {{OPERATOR_VARIANCE}} | {{OPERATOR_TREND}} |
|
||||
| Operator Churn (annualized) | {{CHURN_RATE}}% | <10% | {{CHURN_VARIANCE}}% | {{CHURN_TREND}} |
|
||||
| Fleet Uptime | {{UPTIME_PCT}}% | >99.5% | {{UPTIME_VARIANCE}}% | {{UPTIME_TREND}} |
|
||||
| Partner Revenue Share | ${{REVENUE_SHARE}} | — | — | {{REVENUE_TREND}} |
|
||||
|
||||
**Key Wins This Period:**
|
||||
-
|
||||
-
|
||||
-
|
||||
|
||||
**Primary Challenges:**
|
||||
-
|
||||
-
|
||||
-
|
||||
|
||||
---
|
||||
|
||||
## 2. Lead Generation & Conversion Funnel
|
||||
|
||||
### Lead Sources
|
||||
| Source | Leads | Qualified % | Conversion % |
|
||||
|--------|-------|-------------|--------------|
|
||||
| Referral (existing operators) | {{LEADS_REFERRAL}} | {{QUAL_REFERRAL}}% | {{CONV_REFERRAL}}% |
|
||||
| Marketing Campaigns | {{LEADS_MARKETING}} | {{QUAL_MARKETING}}% | {{CONV_MARKETING}}% |
|
||||
| Direct Inquiry | {{LEADS_DIRECT}} | {{QUAL_DIRECT}}% | {{CONV_DIRECT}}% |
|
||||
| Events/Networking | {{LEADS_EVENTS}} | {{QUAL_EVENTS}}% | {{CONV_EVENTS}}% |
|
||||
| Other | {{LEADS_OTHER}} | {{QUAL_OTHER}}% | {{CONV_OTHER}}% |
|
||||
|
||||
### Conversion Funnel
|
||||
```
|
||||
Leads Generated: {{LEADS_TOTAL}} → Qualified: {{LEADS_QUALIFIED}} → Applications: {{APPS_SUBMITTED}} → Certified: {{OPERATORS_CERTIFIED}}
|
||||
```
|
||||
|
||||
**Average Time to Certification:** ___ days (Target: ≤45 days)
|
||||
|
||||
---
|
||||
|
||||
## 3. Operator Performance Dashboard
|
||||
|
||||
### Active Operators by Tier
|
||||
|
||||
| Tier | Count | Change vs. Last Period | Average Uptime | Avg Customer Rating |
|
||||
|------|-------|------------------------|----------------|---------------------|
|
||||
| Tier 1 - Certified | {{OP_TIER1}} | {{OP_TIER1_CHG}} | {{UPTIME_TIER1}}% | {{RATING_TIER1}} |
|
||||
| Tier 2 - Senior | {{OP_TIER2}} | {{OP_TIER2_CHG}} | {{UPTIME_TIER2}}% | {{RATING_TIER2}} |
|
||||
| Tier 3 - Master | {{OP_TIER3}} | {{OP_TIER3_CHG}} | {{UPTIME_TIER3}}% | {{RATING_TIER3}} |
|
||||
| **Total** | **{{OP_TOTAL}}** | — | — | — |
|
||||
|
||||
### Top 3 Operators (by performance score)
|
||||
1. **{{OP1_NAME}}** (Tier ___) - Uptime: ___%, Rating: ___/5.0, Trips: ___
|
||||
2. **{{OP2_NAME}}** (Tier ___) - Uptime: ___%, Rating: ___/5.0, Trips: ___
|
||||
3. **{{OP3_NAME}}** (Tier ___) - Uptime: ___%, Rating: ___/5.0, Trips: ___
|
||||
|
||||
### At-Risk Operators (requiring intervention)
|
||||
| Operator | Issue | Action Plan | Owner |
|
||||
|----------|-------|-------------|-------|
|
||||
| | | | |
|
||||
| | | | |
|
||||
|
||||
---
|
||||
|
||||
## 4. Fleet Uptime & Reliability
|
||||
|
||||
### Fleet Overview
|
||||
- **Total Vehicles Managed:** {{VEHICLES_TOTAL}}
|
||||
- **Available Vehicles:** {{VEHICLES_AVAILABLE}} ({{VEHICLES_AVAILABLE_PCT}}%)
|
||||
- **In Maintenance:** {{VEHICLES_MAINT}} ({{VEHICLES_MAINT_PCT}}%)
|
||||
- **Out of Service:** {{VEHICLES_OOS}} ({{VEHICLES_OOS_PCT}}%)
|
||||
|
||||
### Uptime By Vehicle
|
||||
| Vehicle ID | Uptime % | Maintenance Events | Downtime Hours |
|
||||
|------------|----------|-------------------|----------------|
|
||||
| | | | |
|
||||
| | | | |
|
||||
| | | | |
|
||||
|
||||
**Average Fleet Uptime:** {{UPTIME_PCT}}% (Target: >99.5%)
|
||||
|
||||
**Top Downtime Causes:**
|
||||
1. ________________
|
||||
2. ________________
|
||||
3. ________________
|
||||
|
||||
---
|
||||
|
||||
## 5. Financial Summary
|
||||
|
||||
### Partner Compensation
|
||||
| Component | Amount | Notes |
|
||||
|-----------|--------|-------|
|
||||
| Base Referral Fees | ${{BASE_FEES}} | ___ referrals × $___ each |
|
||||
| Operator Performance Bonus | ${{PERF_BONUS}} | Tier-based multipliers |
|
||||
| Fleet Uptime Incentive | ${{UPTIME_INC}} | Uptime >99.5% target |
|
||||
| Other: ______________ | ${{OTHER_INC}} | |
|
||||
| **Total Payout** | **${{TOTAL_PAYOUT}}** | |
|
||||
|
||||
### Cost of Partner Activities
|
||||
- Marketing/Events: ${{COST_MARKETING}}
|
||||
- Training Resources: ${{COST_TRAINING}}
|
||||
- Support/Admin: ${{COST_ADMIN}}
|
||||
- **Total Cost:** ${{TOTAL_COST}}
|
||||
|
||||
**Partner ROI:** {{ROI}}% (Total Payout ÷ Total Cost)
|
||||
|
||||
---
|
||||
|
||||
## 6. Training & Development
|
||||
|
||||
### Operators in Training Pipeline
|
||||
| Trainee | Stage | Progress | Expected Certification |
|
||||
|---------|-------|----------|------------------------|
|
||||
| | Application → Interview | ___% | {{DATE}} |
|
||||
| | Interview → Training | ___% | {{DATE}} |
|
||||
| | Training → Exam | ___% | {{DATE}} |
|
||||
| | Probation → Certified | ___% | {{DATE}} |
|
||||
|
||||
### Training Completion Rates
|
||||
- **Onboarding Completion:** ___% (Target: 100%)
|
||||
- **Certification Exam Pass Rate:** ___% (Target: >85%)
|
||||
- **Average Training Duration:** ___ days
|
||||
|
||||
### Completed Training Sessions This Period
|
||||
- Date: ___ - Topic: ___ - Attendees: ___
|
||||
- Date: ___ - Topic: ___ - Attendees: ___
|
||||
|
||||
---
|
||||
|
||||
## 7. Partner Activities & Outreach
|
||||
|
||||
### Events Attended/Sponsored
|
||||
| Event | Date | Location | Leads Generated | Cost |
|
||||
|-------|------|----------|-----------------|------|
|
||||
| | | | | |
|
||||
| | | | | |
|
||||
| | | | | |
|
||||
|
||||
### Marketing Materials Distributed
|
||||
- Digital ads impressions: ___
|
||||
- Email campaigns sent: ___ (open rate: ___%)
|
||||
- Social media posts: ___
|
||||
- Brochures/flyers: ___
|
||||
|
||||
### Partnership Developments
|
||||
- New partner agreements signed: ___
|
||||
- Existing partner renewals: ___
|
||||
- Partnership meetings held: ___
|
||||
|
||||
---
|
||||
|
||||
## 8. Customer Feedback & Satisfaction
|
||||
|
||||
### Customer Ratings (by operator)
|
||||
- **Average Rating:** {{AVG_RATING}}/5.0 (Target: >4.5)
|
||||
- **5-Star Trip Percentage:** {{PCT_5STAR}}%
|
||||
- **Complaints per 100 trips:** {{COMPLAINTS_PER_100}}
|
||||
|
||||
### Top Praise Themes
|
||||
-
|
||||
-
|
||||
-
|
||||
|
||||
### Top Complaint Themes
|
||||
-
|
||||
-
|
||||
-
|
||||
|
||||
---
|
||||
|
||||
## 9. Issues & Blockers
|
||||
|
||||
### Active Issues (past 30 days)
|
||||
| Issue | Impact | Status | Owner | Resolution ETA |
|
||||
|-------|--------|--------|-------|----------------|
|
||||
| | | | | |
|
||||
| | | | | |
|
||||
|
||||
### Escalated to Program Management
|
||||
-
|
||||
-
|
||||
|
||||
---
|
||||
|
||||
## 10. Action Plan & Next Period Goals
|
||||
|
||||
### Priorities for Next Period
|
||||
1. **Recruitment Target:** ___ new certified operators
|
||||
2. **Performance Improvement:** Address ___ at-risk operators
|
||||
3. **Uptime Focus:** Reduce downtime for vehicles: ___
|
||||
4. **Event/Outreach:** Attend ___ events, generate ___ leads
|
||||
5. **Churn Reduction:** Implement ___ retention initiatives
|
||||
|
||||
### Resource Needs
|
||||
-
|
||||
-
|
||||
|
||||
### Key Milestones
|
||||
| Date | Milestone | Owner |
|
||||
|------|-----------|-------|
|
||||
| | | |
|
||||
| | | |
|
||||
|
||||
---
|
||||
|
||||
**Submitted by:** __________________ (Partner Manager)
|
||||
**Date Submitted:** __________________
|
||||
|
||||
**Reviewed by:** __________________ (Fleet Program Director)
|
||||
**Review Date:** __________________
|
||||
@@ -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",
|
||||
]
|
||||
|
||||
156
src/timmy/claim_annotator.py
Normal file
156
src/timmy/claim_annotator.py
Normal 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,
|
||||
)
|
||||
103
tests/timmy/test_claim_annotator.py
Normal file
103
tests/timmy/test_claim_annotator.py
Normal file
@@ -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!")
|
||||
Reference in New Issue
Block a user