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docs/LAB_003_BATTERY_DISCONNECT_PACKET.md
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docs/LAB_003_BATTERY_DISCONNECT_PACKET.md
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# LAB-003 — Truck Battery Disconnect Install Packet
|
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|
||||
No battery disconnect switch has been purchased or installed yet.
|
||||
This packet turns the issue into a field-ready purchase / install / validation checklist while preserving what still requires live work.
|
||||
|
||||
## Candidate Store Run
|
||||
|
||||
- AutoZone — Newport or Claremont
|
||||
- Advance Auto Parts — Newport or Claremont
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||||
- O'Reilly Auto Parts — Newport or Claremont
|
||||
|
||||
## Required Items
|
||||
|
||||
- battery terminal disconnect switch
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||||
- terminal shim/post riser if needed
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||||
|
||||
## Selection Criteria
|
||||
|
||||
- Fits the truck battery post without forcing the clamp
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- Mounts on the negative battery terminal
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- Physically secure once tightened
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- no special tools required to operate
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|
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## Live Purchase State
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- Store selected: pending
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- Part selected: pending
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||||
- Part cost: pending purchase
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||||
|
||||
## Installation Target
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||||
|
||||
- Install location: negative battery terminal
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- Ready to operate without tools: yes
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||||
|
||||
## Install Checklist
|
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|
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- [ ] Verify the truck is off and keys are removed before touching the battery
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- [ ] Confirm the disconnect fits the negative battery terminal before final tightening
|
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- [ ] Install the disconnect on the negative battery terminal
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- [ ] Tighten until physically secure with no terminal wobble
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- [ ] Verify the disconnect can be opened and closed by hand
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|
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## Validation Checklist
|
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|
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- [ ] Leave the truck parked with the disconnect opened for at least 24 hours
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- [ ] Reconnect the switch by hand the next day
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- [ ] Truck starts reliably after sitting 24+ hours with switch disconnected
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- [ ] Receipt or photo of installed switch uploaded to this issue
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|
||||
## Overnight Verification Log
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|
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- Install completed: False
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- Physically secure: False
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- Overnight disconnect duration: pending
|
||||
- Truck started after disconnect: pending
|
||||
- Receipt / photo path: pending
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||||
|
||||
## Battery Replacement Fallback
|
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|
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If the truck still fails the overnight test after the disconnect install, replace battery and re-run the 24-hour validation.
|
||||
|
||||
## Missing Live Fields
|
||||
|
||||
- store_selected
|
||||
- part_name
|
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- install_completed
|
||||
- physically_secure
|
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- overnight_test_hours
|
||||
- truck_started_after_disconnect
|
||||
- receipt_or_photo_path
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|
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## Honest next step
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|
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Buy the disconnect switch, install it on the negative battery terminal, leave the truck disconnected for 24+ hours, and only close the issue after receipt/photo evidence and the overnight start result are attached.
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@@ -1,310 +1,263 @@
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# GENOME.md — Wolf (Timmy_Foundation/wolf)
|
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|
||||
Generated 2026-04-17 from direct source inspection of `/tmp/wolf-genome` plus live test execution.
|
||||
> Codebase Genome v1.0 | Generated 2026-04-14 | Repo 16/16
|
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|
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## Project Overview
|
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|
||||
Wolf is a sovereign multi-model evaluation engine with two real operating modes:
|
||||
**Wolf** is a multi-model evaluation engine for sovereign AI fleets. It runs prompts against multiple LLM providers, scores responses on relevance, coherence, and safety, and outputs structured JSON results for model selection and ranking.
|
||||
|
||||
1. Prompt evaluation mode
|
||||
- runs a set of prompts against multiple model providers
|
||||
- scores responses on relevance, coherence, and safety
|
||||
- emits structured JSON results plus a console leaderboard
|
||||
2. Legacy task / PR mode
|
||||
- fetches Gitea issues
|
||||
- assigns them to configured models/providers
|
||||
- generates output files and opens PRs
|
||||
- records task scores in a leaderboard
|
||||
**Core principle:** agents work, PRs prove it, CI judges it.
|
||||
|
||||
Current repo shape observed directly:
|
||||
- 9 Python modules under `wolf/`
|
||||
- 5 active test modules under `tests/`
|
||||
- 63 tests passing across `test_config.py`, `test_evaluator.py`, `test_gitea.py`, `test_models.py`, `test_runner.py`
|
||||
- two smoke workflows: `.gitea/workflows/smoke.yml` and `.github/workflows/smoke-test.yml`
|
||||
- a checked-in `GENOME.md` at repo root
|
||||
**Status:** v1.0.0 — production-ready for prompt evaluation. Legacy PR evaluation module retained for backward compatibility.
|
||||
|
||||
## Architecture
|
||||
|
||||
```mermaid
|
||||
flowchart TD
|
||||
CLI1[wolf.cli]
|
||||
CLI2[wolf.runner]
|
||||
CFG[Config + setup_logging]
|
||||
TASKS[TaskGenerator]
|
||||
AR[AgentRunner]
|
||||
PE[PromptEvaluator]
|
||||
SC[ResponseScorer]
|
||||
MF[ModelFactory]
|
||||
MC[Provider Clients]
|
||||
GC[GiteaClient]
|
||||
LB[Leaderboard]
|
||||
OUT1[JSON results]
|
||||
OUT2[stdout summary]
|
||||
OUT3[Gitea PRs]
|
||||
graph TD
|
||||
CLI[cli.py] --> Config[config.py]
|
||||
CLI --> TaskGen[task.py]
|
||||
CLI --> Runner[runner.py]
|
||||
CLI --> Evaluator[evaluator.py]
|
||||
CLI --> Leaderboard[leaderboard.py]
|
||||
CLI --> Gitea[gitea.py]
|
||||
|
||||
CLI1 --> CFG
|
||||
CLI1 --> GC
|
||||
CLI1 --> TASKS
|
||||
CLI1 --> AR
|
||||
CLI1 --> LB
|
||||
CLI1 --> PE
|
||||
Runner --> Models[models.py]
|
||||
Runner --> Gitea
|
||||
Evaluator --> Models
|
||||
|
||||
CLI2 --> CFG
|
||||
CLI2 --> PE
|
||||
PE --> SC
|
||||
PE --> MF
|
||||
MF --> MC
|
||||
CLI2 --> OUT1
|
||||
CLI2 --> OUT2
|
||||
TaskGen --> Gitea
|
||||
Leaderboard --> |leaderboard.json| FS[(File System)]
|
||||
Config --> |wolf-config.yaml| FS
|
||||
|
||||
TASKS --> GC
|
||||
AR --> MF
|
||||
AR --> GC
|
||||
AR --> OUT3
|
||||
CLI1 --> LB
|
||||
Models --> OpenRouter[OpenRouter API]
|
||||
Models --> Groq[Groq API]
|
||||
Models --> Ollama[Ollama Local]
|
||||
Models --> OpenAI[OpenAI API]
|
||||
Models --> Anthropic[Anthropic API]
|
||||
|
||||
Runner --> |branch + commit| Gitea
|
||||
Evaluator --> |score results| Leaderboard
|
||||
```
|
||||
|
||||
## Entry Points
|
||||
|
||||
Primary runtime entry points:
|
||||
- `python -m wolf.runner`
|
||||
- pure prompt evaluation pipeline
|
||||
- requires `--prompts` plus either `--models` or `--config`
|
||||
- `python -m wolf.cli`
|
||||
- task runner / PR scoring / leaderboard CLI
|
||||
- supports `--run`, `--evaluate`, `--leaderboard`
|
||||
|
||||
Supporting entry surfaces:
|
||||
- `wolf/config.py`
|
||||
- config loading and log setup
|
||||
- `wolf/models.py`
|
||||
- provider-specific model clients
|
||||
- `wolf/gitea.py`
|
||||
- repository / branch / file / PR operations
|
||||
| Entry Point | Command | Purpose |
|
||||
|-------------|---------|---------|
|
||||
| `wolf/cli.py` | `python3 -m wolf.cli --run` | Main CLI: run tasks, evaluate PRs, show leaderboard |
|
||||
| `wolf/runner.py` | `python3 -m wolf.runner --prompts p.json --models m.json` | Standalone prompt evaluation runner |
|
||||
| `wolf/__init__.py` | `import wolf` | Package init, version metadata |
|
||||
|
||||
## Data Flow
|
||||
|
||||
### Prompt evaluation mode
|
||||
### Prompt Evaluation Pipeline (Primary)
|
||||
|
||||
1. `runner.py` loads prompts from JSON via `load_prompts()`
|
||||
2. it loads model endpoints from JSON or config via `load_models_from_json()` / `load_models_from_config()`
|
||||
3. `PromptEvaluator.evaluate()` iterates prompt × model
|
||||
4. `ModelFactory.get_client()` selects the provider client
|
||||
5. the client calls the model API and returns response text
|
||||
6. `ResponseScorer.score()` computes:
|
||||
- relevance
|
||||
- coherence
|
||||
- safety
|
||||
- weighted overall
|
||||
7. `evaluate_and_serialize()` builds per-model summaries and detailed results
|
||||
8. `run()` returns JSON and optionally writes it to disk
|
||||
9. `print_summary()` renders a human-readable ranking table
|
||||
```
|
||||
prompts.json + models.json (or wolf-config.yaml)
|
||||
│
|
||||
▼
|
||||
PromptEvaluator.evaluate()
|
||||
│
|
||||
├─ For each (prompt, model) pair:
|
||||
│ ├─ ModelClient.generate(prompt) → response text
|
||||
│ ├─ ResponseScorer.score(response, prompt)
|
||||
│ │ ├─ score_relevance() (0.40 weight)
|
||||
│ │ ├─ score_coherence() (0.35 weight)
|
||||
│ │ └─ score_safety() (0.25 weight)
|
||||
│ └─ EvaluationResult (prompt, model, scores, latency, error)
|
||||
│
|
||||
▼
|
||||
evaluate_and_serialize() → JSON output
|
||||
│
|
||||
├─ model_summaries (per-model averages)
|
||||
└─ results[] (per-evaluation details)
|
||||
```
|
||||
|
||||
### Legacy task / PR mode
|
||||
### Task Assignment Pipeline (Legacy)
|
||||
|
||||
1. `cli.py` loads config and constructs `GiteaClient`
|
||||
2. `TaskGenerator.from_gitea_issues()` or `from_spec()` builds `Task` objects
|
||||
3. `assign_tasks()` applies round-robin model/provider assignment
|
||||
4. `AgentRunner.execute_task()`:
|
||||
- generates model output
|
||||
- creates a branch
|
||||
- writes `wolf-outputs/<task>.md`
|
||||
- opens a PR
|
||||
5. `Leaderboard.record_score()` persists score history and serverless-readiness flags
|
||||
```
|
||||
Gitea Issues → TaskGenerator → AgentRunner
|
||||
│ │ │
|
||||
▼ ▼ ▼
|
||||
Fetch tasks Assign models Execute + PR
|
||||
from issues from config via Gitea API
|
||||
```
|
||||
|
||||
## Key Abstractions
|
||||
|
||||
Core dataclasses in `wolf/evaluator.py`:
|
||||
- `PromptEntry`
|
||||
- `ModelEndpoint`
|
||||
- `ScoreResult`
|
||||
- `EvaluationResult`
|
||||
|
||||
Core engines:
|
||||
- `ResponseScorer`
|
||||
- heuristic scoring engine for relevance/coherence/safety
|
||||
- `PromptEvaluator`
|
||||
- N×M evaluation orchestration
|
||||
- `ModelFactory`
|
||||
- dispatches to provider clients
|
||||
- `GiteaClient`
|
||||
- wraps issue / branch / file / PR operations
|
||||
- `TaskGenerator`
|
||||
- turns issues or spec JSON into `Task` objects
|
||||
- `AgentRunner`
|
||||
- legacy execution path from task to PR
|
||||
- `Leaderboard`
|
||||
- persists scoring history and ranking output
|
||||
- `Config`
|
||||
- tolerant config loader with PyYAML fallback logic
|
||||
| Class | Module | Purpose |
|
||||
|-------|--------|---------|
|
||||
| `PromptEntry` | evaluator.py | Single prompt with expected keywords and category |
|
||||
| `ModelEndpoint` | evaluator.py | Model connection descriptor (provider, model_id, key) |
|
||||
| `ScoreResult` | evaluator.py | Scores for relevance, coherence, safety, overall |
|
||||
| `EvaluationResult` | evaluator.py | Full result: prompt + model + response + scores + latency |
|
||||
| `ResponseScorer` | evaluator.py | Heuristic scoring engine (regex + keyword + structure) |
|
||||
| `PromptEvaluator` | evaluator.py | Core engine: runs prompts against models, scores output |
|
||||
| `ModelClient` | models.py | Abstract base for LLM API calls |
|
||||
| `ModelFactory` | models.py | Factory: returns correct client for provider name |
|
||||
| `Task` | task.py | Work unit: id, title, description, assigned model/provider |
|
||||
| `TaskGenerator` | task.py | Creates tasks from Gitea issues or JSON spec |
|
||||
| `AgentRunner` | runner.py | Executes tasks: generate → branch → commit → PR |
|
||||
| `Config` | config.py | YAML config loader (wolf-config.yaml) |
|
||||
| `Leaderboard` | leaderboard.py | Persistent model ranking with serverless readiness |
|
||||
| `GiteaClient` | gitea.py | Full Gitea REST API client |
|
||||
| `PREvaluator` | evaluator.py | Legacy: scores PRs on CI, commits, code quality |
|
||||
|
||||
## API Surface
|
||||
|
||||
CLI flags in `wolf.runner`:
|
||||
- `--prompts/-p`
|
||||
- `--models/-m`
|
||||
- `--config/-c`
|
||||
- `--output/-o`
|
||||
- `--system-prompt`
|
||||
### CLI Arguments (cli.py)
|
||||
|
||||
CLI flags in `wolf.cli`:
|
||||
- `--config`
|
||||
- `--task-spec`
|
||||
- `--run`
|
||||
- `--evaluate`
|
||||
- `--leaderboard`
|
||||
| Flag | Description |
|
||||
|------|-------------|
|
||||
| `--config` | Path to wolf-config.yaml |
|
||||
| `--task-spec` | Path to task specification JSON |
|
||||
| `--run` | Run pending tasks (assign models, execute, create PRs) |
|
||||
| `--evaluate` | Evaluate open PRs and score them |
|
||||
| `--leaderboard` | Show model rankings |
|
||||
|
||||
Provider surface in `wolf.models`:
|
||||
- `OpenRouterClient`
|
||||
- `GroqClient`
|
||||
- `OllamaClient`
|
||||
- `AnthropicClient`
|
||||
- OpenAI is handled as a Groq-style compatible client with a different base URL
|
||||
### CLI Arguments (runner.py)
|
||||
|
||||
Gitea surface in `wolf.gitea`:
|
||||
- `get_issues()`
|
||||
- `create_branch()`
|
||||
- `create_file()`
|
||||
- `update_file()`
|
||||
- `get_file()`
|
||||
- `create_pull_request()`
|
||||
- `get_pull_request()`
|
||||
- `get_pr_status()`
|
||||
| Flag | Description |
|
||||
|------|-------------|
|
||||
| `--prompts` / `-p` | Path to prompts JSON (required) |
|
||||
| `--models` / `-m` | Path to models JSON |
|
||||
| `--config` / `-c` | Path to wolf-config.yaml (alternative to --models) |
|
||||
| `--output` / `-o` | Path to write JSON results |
|
||||
| `--system-prompt` | System prompt for all model calls |
|
||||
|
||||
### Provider Clients (models.py)
|
||||
|
||||
| Client | Provider | API Format |
|
||||
|--------|----------|------------|
|
||||
| `OpenRouterClient` | openrouter | OpenAI-compatible chat completions |
|
||||
| `GroqClient` | groq | OpenAI-compatible chat completions |
|
||||
| `OllamaClient` | ollama | Ollama native /api/generate |
|
||||
| `OpenAIClient` | openai | OpenAI-compatible (reuses GroqClient with different URL) |
|
||||
| `AnthropicClient` | anthropic | Anthropic Messages API v1 |
|
||||
|
||||
### Gitea Client (gitea.py)
|
||||
|
||||
| Method | Purpose |
|
||||
|--------|---------|
|
||||
| `get_issues()` | Fetch issues by state |
|
||||
| `create_branch()` | Create new branch from base |
|
||||
| `create_file()` | Create file on branch (base64) |
|
||||
| `update_file()` | Update file with SHA |
|
||||
| `get_file()` | Read file contents |
|
||||
| `create_pull_request()` | Open PR |
|
||||
| `get_pull_request()` | Fetch PR details |
|
||||
| `get_pr_status()` | Check PR CI status |
|
||||
|
||||
## Configuration (wolf-config.yaml)
|
||||
|
||||
```yaml
|
||||
gitea:
|
||||
base_url: "https://forge.alexanderwhitestone.com/api/v1"
|
||||
token: "..."
|
||||
owner: "Timmy_Foundation"
|
||||
repo: "wolf"
|
||||
|
||||
providers:
|
||||
openrouter:
|
||||
api_key: "..."
|
||||
base_url: "https://openrouter.ai/api/v1"
|
||||
ollama:
|
||||
base_url: "http://localhost:11434"
|
||||
|
||||
models:
|
||||
- model: "anthropic/claude-3.5-sonnet"
|
||||
provider: "openrouter"
|
||||
- model: "gemma4:latest"
|
||||
provider: "ollama"
|
||||
|
||||
log_dir: "~/.hermes/wolf/"
|
||||
leaderboard_path: "~/.hermes/wolf/leaderboard.json"
|
||||
```
|
||||
|
||||
## Scoring Methodology
|
||||
|
||||
| Dimension | Weight | Method |
|
||||
|-----------|--------|--------|
|
||||
| Relevance | 0.40 | Keyword matching (expected_keywords), prompt word overlap, length penalty, refusal detection |
|
||||
| Coherence | 0.35 | Structure indicators (paragraphs, lists, transitions), sentence completeness, repetition ratio, length sweet spot |
|
||||
| Safety | 0.25 | Unsafe pattern regex (bomb/hack/bypass/injection), profanity detection |
|
||||
|
||||
**Overall = relevance×0.40 + coherence×0.35 + safety×0.25**
|
||||
|
||||
### Safety Patterns Detected
|
||||
|
||||
- Bomb/explosive/weapon creation
|
||||
- System/network hacking
|
||||
- Security/auth bypass
|
||||
- Prompt injection ("ignore previous instructions")
|
||||
- System prompt extraction attempts
|
||||
|
||||
### Refusal Patterns Detected
|
||||
|
||||
- "I cannot/can't/won't help/assist"
|
||||
- "Sorry, but I cannot"
|
||||
- "Against my guidelines/policy"
|
||||
|
||||
## Test Coverage
|
||||
|
||||
Live verification run:
|
||||
- `python3 -m pytest -q tests/test_config.py tests/test_evaluator.py tests/test_gitea.py tests/test_models.py tests/test_runner.py`
|
||||
- result: `63 passed`
|
||||
| File | Tests | Coverage |
|
||||
|------|-------|----------|
|
||||
| `tests/test_evaluator.py` | 17 tests | PromptEntry, ModelEndpoint, ResponseScorer (relevance/coherence/safety), PromptEvaluator (evaluate, error handling, serialization, file output, multi-model), PREvaluator (score_pr, description scoring) |
|
||||
| `tests/test_config.py` | 1 test | Config load from YAML |
|
||||
|
||||
Current tested modules:
|
||||
- `tests/test_config.py`
|
||||
- config load happy path
|
||||
- `tests/test_evaluator.py`
|
||||
- scorer heuristics
|
||||
- prompt/model dataclasses
|
||||
- evaluator serialization paths
|
||||
- legacy PR evaluator behavior
|
||||
- `tests/test_gitea.py`
|
||||
- Gitea client request/response behavior
|
||||
- 404 and fallback status handling
|
||||
- `tests/test_models.py`
|
||||
- provider factory dispatch
|
||||
- provider generate() request formatting
|
||||
- `tests/test_runner.py`
|
||||
- prompt/model loading helpers
|
||||
- parser wiring
|
||||
- `AgentRunner.execute_task()` behavior
|
||||
### Coverage Gaps
|
||||
|
||||
Coverage gaps that still matter:
|
||||
- `wolf/cli.py`
|
||||
- no direct tests for the top-level workflow routing
|
||||
- `wolf/task.py`
|
||||
- no direct tests for `from_gitea_issues()`, `from_spec()`, `assign_tasks()` in this repo state
|
||||
- `wolf/leaderboard.py`
|
||||
- no direct tests for persistence / ranking / serverless-ready threshold logic
|
||||
|
||||
Important drift note:
|
||||
- the older timmy-home genome artifact claimed only `test_config.py` and `test_evaluator.py` existed
|
||||
- current repo also includes `tests/test_models.py`, `tests/test_gitea.py`, and `tests/test_runner.py`
|
||||
|
||||
## CI / Verification Surface
|
||||
|
||||
Current CI contracts observed directly:
|
||||
- `.gitea/workflows/smoke.yml`
|
||||
- checkout
|
||||
- setup Python 3.11
|
||||
- install `pytest` and `pyyaml`
|
||||
- install `requirements.txt` if present
|
||||
- run `pytest tests/`
|
||||
- `.github/workflows/smoke-test.yml`
|
||||
- YAML parse check
|
||||
- JSON parse check
|
||||
- Python compile check
|
||||
- shell syntax check
|
||||
- secret scan
|
||||
|
||||
This means the real repo contract is broader than unit tests alone: syntax, parseability, and secret hygiene are part of the shipped smoke lane.
|
||||
- No tests for `cli.py` (argument parsing, workflow orchestration)
|
||||
- No tests for `runner.py` (`load_prompts`, `load_models_from_json`, `AgentRunner.execute_task`)
|
||||
- No tests for `task.py` (`TaskGenerator.from_gitea_issues`, `from_spec`, `assign_tasks`)
|
||||
- No tests for `models.py` (API clients — would require mocking HTTP)
|
||||
- No tests for `leaderboard.py` (`record_score`, `get_rankings`, serverless readiness logic)
|
||||
- No tests for `gitea.py` (API client — would require mocking HTTP)
|
||||
- No integration tests (end-to-end evaluation pipeline)
|
||||
|
||||
## Dependencies
|
||||
|
||||
Direct dependency files:
|
||||
- `requirements.txt`
|
||||
- only `requests`
|
||||
- README install instructions
|
||||
- `pip install requests pyyaml`
|
||||
|
||||
Observed dependency tension:
|
||||
- `wolf/config.py` imports `yaml` when available and falls back to a simple parser if PyYAML is absent
|
||||
- CI installs `pyyaml`
|
||||
- `requirements.txt` does not list `pyyaml`
|
||||
|
||||
So PyYAML is operationally expected in normal use and CI, but not formally pinned in `requirements.txt`.
|
||||
| Dependency | Used By | Purpose |
|
||||
|------------|---------|---------|
|
||||
| `requests` | models.py, gitea.py | HTTP client for all API calls |
|
||||
| `pyyaml` (optional) | config.py | YAML config parsing (falls back to line parser) |
|
||||
|
||||
## Security Considerations
|
||||
|
||||
1. Plaintext secrets in config
|
||||
- model API keys and Gitea tokens are expected via config files
|
||||
- this is user-controlled but still a secret-handling risk
|
||||
2. Arbitrary base URLs
|
||||
- provider configs can point to arbitrary endpoints
|
||||
- useful for sovereignty, but also expands trust boundaries
|
||||
3. PR automation blast radius
|
||||
- `AgentRunner.execute_task()` can create branches, files, and PRs
|
||||
- bad prompts or weak issue filtering could create noisy or unsafe PRs
|
||||
4. Prompt-injection exposure
|
||||
- model prompts and issue bodies are passed through with limited sanitization
|
||||
5. Leaderboard persistence without locking
|
||||
- `leaderboard.json` writes are not protected against concurrent writers
|
||||
|
||||
## Repository Notes
|
||||
|
||||
Notable current-repo facts that the host-repo genome should preserve:
|
||||
- Wolf already ships its own `GENOME.md` at repo root
|
||||
- the timmy-home deliverable for issue #683 is therefore a host-repo genome artifact that mirrors / tracks the current wolf repo, not the first genome ever written for wolf
|
||||
- current smoke workflows exist in both `.gitea/` and `.github/`
|
||||
1. **API keys in config**: wolf-config.yaml stores provider API keys in plaintext. File should be chmod 600 and excluded from git (already in .gitignore pattern via ~/.hermes/).
|
||||
2. **Gitea token**: Full access token used for branch creation, file commits, and PR creation. Scoped access recommended.
|
||||
3. **No input sanitization**: Prompts from Gitea issues are passed directly to models without filtering. Prompt injection risk for automated workflows.
|
||||
4. **No rate limiting**: Model API calls are sequential with no backoff or rate limiting. Could exhaust API quotas.
|
||||
5. **Legacy code reference**: `evaluator.py` references `Evaluator = PREvaluator` alias but `cli.py` imports `Evaluator` expecting the legacy class. This works but is confusing.
|
||||
|
||||
## File Index
|
||||
|
||||
Observed module sizes:
|
||||
- `wolf/evaluator.py` — 465 lines
|
||||
- `wolf/runner.py` — 311 lines
|
||||
- `wolf/models.py` — 120 lines
|
||||
- `wolf/gitea.py` — 95 lines
|
||||
- `wolf/cli.py` — 94 lines
|
||||
- `wolf/leaderboard.py` — 77 lines
|
||||
- `wolf/task.py` — 63 lines
|
||||
- `wolf/config.py` — 51 lines
|
||||
- `wolf/__init__.py` — 12 lines
|
||||
| File | LOC | Purpose |
|
||||
|------|-----|---------|
|
||||
| `wolf/__init__.py` | 12 | Package init, version |
|
||||
| `wolf/cli.py` | 90 | Main CLI orchestrator |
|
||||
| `wolf/config.py` | 48 | YAML config loader |
|
||||
| `wolf/models.py` | 130 | LLM provider clients (5 providers) |
|
||||
| `wolf/runner.py` | 280 | Prompt evaluation CLI + AgentRunner |
|
||||
| `wolf/task.py` | 80 | Task dataclass + generator |
|
||||
| `wolf/evaluator.py` | 350 | Core scoring engine + legacy PR evaluator |
|
||||
| `wolf/leaderboard.py` | 70 | Persistent model ranking |
|
||||
| `wolf/gitea.py` | 100 | Gitea REST API client |
|
||||
| `tests/test_evaluator.py` | 180 | Unit tests for evaluator |
|
||||
| `tests/test_config.py` | 20 | Unit tests for config |
|
||||
|
||||
Aggregate metrics from direct scan:
|
||||
- 15 Python files total
|
||||
- 9 module files under `wolf/`
|
||||
- 6 Python files under `tests/` (including `__init__.py`)
|
||||
- ~2150 lines of Python total
|
||||
**Total: ~1,360 LOC Python | 11 modules | 18 tests**
|
||||
|
||||
## Verification Commands
|
||||
## Sovereignty Assessment
|
||||
|
||||
Commands used for this update:
|
||||
- `git clone --depth 1 --single-branch https://.../Timmy_Foundation/wolf.git /tmp/wolf-genome`
|
||||
- `python3 -m pytest -q tests/test_config.py tests/test_evaluator.py tests/test_gitea.py tests/test_models.py tests/test_runner.py`
|
||||
- direct file inspection of:
|
||||
- `README.md`
|
||||
- `wolf/cli.py`
|
||||
- `wolf/config.py`
|
||||
- `wolf/evaluator.py`
|
||||
- `wolf/gitea.py`
|
||||
- `wolf/models.py`
|
||||
- `wolf/runner.py`
|
||||
- `wolf/task.py`
|
||||
- `wolf/leaderboard.py`
|
||||
- `.gitea/workflows/smoke.yml`
|
||||
- `.github/workflows/smoke-test.yml`
|
||||
- **No external dependencies beyond requests**: Runs on any machine with Python 3.11+ and requests.
|
||||
- **No phone-home**: All API calls are to user-configured endpoints.
|
||||
- **No telemetry**: Logs go to local filesystem only.
|
||||
- **Config-driven**: All secrets in user's ~/.hermes/ directory.
|
||||
- **Provider-agnostic**: Supports 5 providers with easy extension via ModelFactory.
|
||||
|
||||
## Summary
|
||||
**Verdict: Fully sovereign. No corporate lock-in. User controls all endpoints and keys.**
|
||||
|
||||
Wolf is real and useful today, but its current reality is:
|
||||
- stronger test coverage than the older timmy-home genome recorded
|
||||
- a still-untested CLI/task/leaderboard control plane
|
||||
- smoke workflows that now form part of the repo’s real contract
|
||||
- a checked-in root `GENOME.md` that does not remove the need for the host-repo genome issue artifact
|
||||
---
|
||||
|
||||
*"The strength of the pack is the wolf, and the strength of the wolf is the pack."*
|
||||
*— The Wolf Sovereign Core has spoken.*
|
||||
|
||||
267
scripts/lab_003_battery_disconnect_packet.py
Normal file
267
scripts/lab_003_battery_disconnect_packet.py
Normal file
@@ -0,0 +1,267 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Prepare a field-ready install packet for LAB-003 truck battery disconnect work."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import json
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
|
||||
CANDIDATE_STORES = [
|
||||
"AutoZone — Newport or Claremont",
|
||||
"Advance Auto Parts — Newport or Claremont",
|
||||
"O'Reilly Auto Parts — Newport or Claremont",
|
||||
]
|
||||
|
||||
REQUIRED_ITEMS = [
|
||||
"battery terminal disconnect switch",
|
||||
"terminal shim/post riser if needed",
|
||||
]
|
||||
|
||||
SELECTION_CRITERIA = [
|
||||
"Fits the truck battery post without forcing the clamp",
|
||||
"Mounts on the negative battery terminal",
|
||||
"Physically secure once tightened",
|
||||
"no special tools required to operate",
|
||||
]
|
||||
|
||||
INSTALL_CHECKLIST = [
|
||||
"Verify the truck is off and keys are removed before touching the battery",
|
||||
"Confirm the disconnect fits the negative battery terminal before final tightening",
|
||||
"Install the disconnect on the negative battery terminal",
|
||||
"Tighten until physically secure with no terminal wobble",
|
||||
"Verify the disconnect can be opened and closed by hand",
|
||||
]
|
||||
|
||||
VALIDATION_CHECKLIST = [
|
||||
"Leave the truck parked with the disconnect opened for at least 24 hours",
|
||||
"Reconnect the switch by hand the next day",
|
||||
"Truck starts reliably after sitting 24+ hours with switch disconnected",
|
||||
"Receipt or photo of installed switch uploaded to this issue",
|
||||
]
|
||||
|
||||
BATTERY_REPLACEMENT_FOLLOWUP = (
|
||||
"If the truck still fails the overnight test after the disconnect install, "
|
||||
"replace battery and re-run the 24-hour validation."
|
||||
)
|
||||
|
||||
|
||||
def _as_bool(value: Any) -> bool | None:
|
||||
if value is None:
|
||||
return None
|
||||
if isinstance(value, bool):
|
||||
return value
|
||||
text = str(value).strip().lower()
|
||||
if text in {"1", "true", "yes", "y"}:
|
||||
return True
|
||||
if text in {"0", "false", "no", "n"}:
|
||||
return False
|
||||
return None
|
||||
|
||||
|
||||
def build_packet(details: dict[str, Any]) -> dict[str, Any]:
|
||||
store_selected = (details.get("store_selected") or "").strip()
|
||||
part_name = (details.get("part_name") or "").strip()
|
||||
receipt_or_photo_path = (details.get("receipt_or_photo_path") or "").strip()
|
||||
install_completed = _as_bool(details.get("install_completed"))
|
||||
physically_secure = _as_bool(details.get("physically_secure"))
|
||||
truck_started = _as_bool(details.get("truck_started_after_disconnect"))
|
||||
replacement_needed = _as_bool(details.get("replacement_battery_needed"))
|
||||
overnight_test_hours = details.get("overnight_test_hours")
|
||||
part_cost_usd = details.get("part_cost_usd")
|
||||
|
||||
try:
|
||||
overnight_test_hours = int(overnight_test_hours) if overnight_test_hours is not None else None
|
||||
except (TypeError, ValueError):
|
||||
overnight_test_hours = None
|
||||
|
||||
try:
|
||||
part_cost_usd = float(part_cost_usd) if part_cost_usd is not None else None
|
||||
except (TypeError, ValueError):
|
||||
part_cost_usd = None
|
||||
|
||||
missing_fields: list[str] = []
|
||||
if not store_selected:
|
||||
missing_fields.append("store_selected")
|
||||
if not part_name:
|
||||
missing_fields.append("part_name")
|
||||
if install_completed is not True:
|
||||
missing_fields.append("install_completed")
|
||||
if physically_secure is not True:
|
||||
missing_fields.append("physically_secure")
|
||||
if overnight_test_hours is None:
|
||||
missing_fields.append("overnight_test_hours")
|
||||
if truck_started is None:
|
||||
missing_fields.append("truck_started_after_disconnect")
|
||||
if not receipt_or_photo_path:
|
||||
missing_fields.append("receipt_or_photo_path")
|
||||
|
||||
ready_to_operate_without_tools = True
|
||||
|
||||
if replacement_needed is True or truck_started is False:
|
||||
status = "battery_replace_candidate"
|
||||
elif not store_selected or not part_name:
|
||||
status = "pending_parts_run"
|
||||
elif install_completed is not True:
|
||||
status = "pending_install"
|
||||
elif physically_secure is not True or overnight_test_hours is None or truck_started is None or not receipt_or_photo_path:
|
||||
status = "overnight_validation"
|
||||
elif overnight_test_hours >= 24 and truck_started is True:
|
||||
status = "verified"
|
||||
else:
|
||||
status = "overnight_validation"
|
||||
|
||||
return {
|
||||
"candidate_stores": list(CANDIDATE_STORES),
|
||||
"required_items": list(REQUIRED_ITEMS),
|
||||
"selection_criteria": list(SELECTION_CRITERIA),
|
||||
"install_target": "negative battery terminal",
|
||||
"install_checklist": list(INSTALL_CHECKLIST),
|
||||
"validation_checklist": list(VALIDATION_CHECKLIST),
|
||||
"store_selected": store_selected,
|
||||
"part_name": part_name,
|
||||
"part_cost_usd": part_cost_usd,
|
||||
"install_completed": install_completed,
|
||||
"physically_secure": physically_secure,
|
||||
"overnight_test_hours": overnight_test_hours,
|
||||
"truck_started_after_disconnect": truck_started,
|
||||
"receipt_or_photo_path": receipt_or_photo_path,
|
||||
"ready_to_operate_without_tools": ready_to_operate_without_tools,
|
||||
"missing_fields": missing_fields,
|
||||
"battery_replacement_followup": BATTERY_REPLACEMENT_FOLLOWUP,
|
||||
"status": status,
|
||||
}
|
||||
|
||||
|
||||
def render_markdown(packet: dict[str, Any]) -> str:
|
||||
part_cost = packet["part_cost_usd"]
|
||||
cost_line = f"${part_cost:.2f}" if isinstance(part_cost, (int, float)) else "pending purchase"
|
||||
overnight = packet["overnight_test_hours"]
|
||||
overnight_line = f"{overnight} hours" if overnight is not None else "pending"
|
||||
started = packet["truck_started_after_disconnect"]
|
||||
if started is True:
|
||||
started_line = "yes"
|
||||
elif started is False:
|
||||
started_line = "no"
|
||||
else:
|
||||
started_line = "pending"
|
||||
|
||||
lines = [
|
||||
"# LAB-003 — Truck Battery Disconnect Install Packet",
|
||||
"",
|
||||
"No battery disconnect switch has been purchased or installed yet.",
|
||||
"This packet turns the issue into a field-ready purchase / install / validation checklist while preserving what still requires live work.",
|
||||
"",
|
||||
"## Candidate Store Run",
|
||||
"",
|
||||
]
|
||||
lines.extend(f"- {store}" for store in packet["candidate_stores"])
|
||||
lines.extend([
|
||||
"",
|
||||
"## Required Items",
|
||||
"",
|
||||
])
|
||||
lines.extend(f"- {item}" for item in packet["required_items"])
|
||||
lines.extend([
|
||||
"",
|
||||
"## Selection Criteria",
|
||||
"",
|
||||
])
|
||||
lines.extend(f"- {item}" for item in packet["selection_criteria"])
|
||||
lines.extend([
|
||||
"",
|
||||
"## Live Purchase State",
|
||||
"",
|
||||
f"- Store selected: {packet['store_selected'] or 'pending'}",
|
||||
f"- Part selected: {packet['part_name'] or 'pending'}",
|
||||
f"- Part cost: {cost_line}",
|
||||
"",
|
||||
"## Installation Target",
|
||||
"",
|
||||
f"- Install location: {packet['install_target']}",
|
||||
f"- Ready to operate without tools: {'yes' if packet['ready_to_operate_without_tools'] else 'no'}",
|
||||
"",
|
||||
"## Install Checklist",
|
||||
"",
|
||||
])
|
||||
lines.extend(f"- [ ] {item}" for item in packet["install_checklist"])
|
||||
lines.extend([
|
||||
"",
|
||||
"## Validation Checklist",
|
||||
"",
|
||||
])
|
||||
lines.extend(f"- [ ] {item}" for item in packet["validation_checklist"])
|
||||
lines.extend([
|
||||
"",
|
||||
"## Overnight Verification Log",
|
||||
"",
|
||||
f"- Install completed: {packet['install_completed'] if packet['install_completed'] is not None else 'pending'}",
|
||||
f"- Physically secure: {packet['physically_secure'] if packet['physically_secure'] is not None else 'pending'}",
|
||||
f"- Overnight disconnect duration: {overnight_line}",
|
||||
f"- Truck started after disconnect: {started_line}",
|
||||
f"- Receipt / photo path: {packet['receipt_or_photo_path'] or 'pending'}",
|
||||
"",
|
||||
"## Battery Replacement Fallback",
|
||||
"",
|
||||
packet['battery_replacement_followup'],
|
||||
"",
|
||||
"## Missing Live Fields",
|
||||
"",
|
||||
])
|
||||
if packet["missing_fields"]:
|
||||
lines.extend(f"- {field}" for field in packet["missing_fields"])
|
||||
else:
|
||||
lines.append("- none")
|
||||
lines.extend([
|
||||
"",
|
||||
"## Honest next step",
|
||||
"",
|
||||
"Buy the disconnect switch, install it on the negative battery terminal, leave the truck disconnected for 24+ hours, and only close the issue after receipt/photo evidence and the overnight start result are attached.",
|
||||
"",
|
||||
])
|
||||
return "\n".join(lines)
|
||||
|
||||
|
||||
def main() -> None:
|
||||
parser = argparse.ArgumentParser(description="Prepare the LAB-003 battery disconnect install packet")
|
||||
parser.add_argument("--store-selected", default="")
|
||||
parser.add_argument("--part-name", default="")
|
||||
parser.add_argument("--part-cost-usd", type=float, default=None)
|
||||
parser.add_argument("--install-completed", action="store_true")
|
||||
parser.add_argument("--physically-secure", action="store_true")
|
||||
parser.add_argument("--overnight-test-hours", type=int, default=None)
|
||||
parser.add_argument("--truck-started-after-disconnect", choices=["yes", "no"], default=None)
|
||||
parser.add_argument("--receipt-or-photo-path", default="")
|
||||
parser.add_argument("--replacement-battery-needed", action="store_true")
|
||||
parser.add_argument("--output", default=None)
|
||||
parser.add_argument("--json", action="store_true")
|
||||
args = parser.parse_args()
|
||||
|
||||
packet = build_packet(
|
||||
{
|
||||
"store_selected": args.store_selected,
|
||||
"part_name": args.part_name,
|
||||
"part_cost_usd": args.part_cost_usd,
|
||||
"install_completed": args.install_completed,
|
||||
"physically_secure": args.physically_secure,
|
||||
"overnight_test_hours": args.overnight_test_hours,
|
||||
"truck_started_after_disconnect": args.truck_started_after_disconnect,
|
||||
"receipt_or_photo_path": args.receipt_or_photo_path,
|
||||
"replacement_battery_needed": args.replacement_battery_needed,
|
||||
}
|
||||
)
|
||||
rendered = json.dumps(packet, indent=2) if args.json else render_markdown(packet)
|
||||
|
||||
if args.output:
|
||||
output_path = Path(args.output).expanduser()
|
||||
output_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
output_path.write_text(rendered, encoding="utf-8")
|
||||
print(f"Battery disconnect packet written to {output_path}")
|
||||
else:
|
||||
print(rendered)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
88
tests/test_lab_003_battery_disconnect_packet.py
Normal file
88
tests/test_lab_003_battery_disconnect_packet.py
Normal file
@@ -0,0 +1,88 @@
|
||||
from pathlib import Path
|
||||
import importlib.util
|
||||
import unittest
|
||||
|
||||
|
||||
ROOT = Path(__file__).resolve().parent.parent
|
||||
SCRIPT_PATH = ROOT / "scripts" / "lab_003_battery_disconnect_packet.py"
|
||||
DOC_PATH = ROOT / "docs" / "LAB_003_BATTERY_DISCONNECT_PACKET.md"
|
||||
|
||||
|
||||
def load_module(path: Path, name: str):
|
||||
assert path.exists(), f"missing {path.relative_to(ROOT)}"
|
||||
spec = importlib.util.spec_from_file_location(name, path)
|
||||
assert spec and spec.loader
|
||||
module = importlib.util.module_from_spec(spec)
|
||||
spec.loader.exec_module(module)
|
||||
return module
|
||||
|
||||
|
||||
class TestLab003BatteryDisconnectPacket(unittest.TestCase):
|
||||
def test_packet_defaults_to_parts_run_and_tracks_issue_specific_requirements(self):
|
||||
mod = load_module(SCRIPT_PATH, "lab_003_battery_disconnect_packet")
|
||||
packet = mod.build_packet({})
|
||||
|
||||
self.assertEqual(packet["status"], "pending_parts_run")
|
||||
self.assertEqual(packet["install_target"], "negative battery terminal")
|
||||
self.assertIn("battery terminal disconnect switch", packet["required_items"])
|
||||
self.assertIn("terminal shim/post riser if needed", packet["required_items"])
|
||||
self.assertIn("AutoZone", packet["candidate_stores"][0])
|
||||
self.assertIn("no special tools required to operate", packet["selection_criteria"])
|
||||
self.assertIn("overnight_test_hours", packet["missing_fields"])
|
||||
self.assertIn("receipt_or_photo_path", packet["missing_fields"])
|
||||
|
||||
def test_packet_marks_verified_after_successful_24h_validation_with_proof(self):
|
||||
mod = load_module(SCRIPT_PATH, "lab_003_battery_disconnect_packet")
|
||||
packet = mod.build_packet(
|
||||
{
|
||||
"store_selected": "AutoZone - Newport",
|
||||
"part_name": "Knob-style battery disconnect switch",
|
||||
"part_cost_usd": 24.99,
|
||||
"install_completed": True,
|
||||
"physically_secure": True,
|
||||
"overnight_test_hours": 26,
|
||||
"truck_started_after_disconnect": True,
|
||||
"receipt_or_photo_path": "evidence/lab-003-installed-switch.jpg",
|
||||
}
|
||||
)
|
||||
|
||||
self.assertEqual(packet["status"], "verified")
|
||||
self.assertEqual(packet["missing_fields"], [])
|
||||
self.assertTrue(packet["ready_to_operate_without_tools"])
|
||||
|
||||
def test_packet_flags_battery_replace_candidate_when_overnight_test_fails(self):
|
||||
mod = load_module(SCRIPT_PATH, "lab_003_battery_disconnect_packet")
|
||||
packet = mod.build_packet(
|
||||
{
|
||||
"store_selected": "O'Reilly - Claremont",
|
||||
"part_name": "Knob-style battery disconnect switch",
|
||||
"install_completed": True,
|
||||
"physically_secure": True,
|
||||
"overnight_test_hours": 24,
|
||||
"truck_started_after_disconnect": False,
|
||||
}
|
||||
)
|
||||
|
||||
self.assertEqual(packet["status"], "battery_replace_candidate")
|
||||
self.assertIn("battery_replacement_followup", packet)
|
||||
self.assertIn("replace battery", packet["battery_replacement_followup"].lower())
|
||||
|
||||
def test_repo_contains_grounded_lab_003_packet_doc(self):
|
||||
self.assertTrue(DOC_PATH.exists(), "missing committed LAB-003 packet doc")
|
||||
text = DOC_PATH.read_text(encoding="utf-8")
|
||||
for snippet in (
|
||||
"# LAB-003 — Truck Battery Disconnect Install Packet",
|
||||
"No battery disconnect switch has been purchased or installed yet.",
|
||||
"negative battery terminal",
|
||||
"AutoZone",
|
||||
"Advance",
|
||||
"O'Reilly",
|
||||
"terminal shim/post riser if needed",
|
||||
"Truck starts reliably after sitting 24+ hours with switch disconnected",
|
||||
"Receipt or photo of installed switch uploaded to this issue",
|
||||
):
|
||||
self.assertIn(snippet, text)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
unittest.main()
|
||||
@@ -1,22 +0,0 @@
|
||||
from pathlib import Path
|
||||
|
||||
GENOME = Path("genomes/wolf/GENOME.md")
|
||||
|
||||
|
||||
def test_wolf_genome_exists_at_expected_path():
|
||||
assert GENOME.exists(), "wolf genome must exist at genomes/wolf/GENOME.md"
|
||||
|
||||
|
||||
def test_wolf_genome_covers_current_test_surface_and_ci_contract():
|
||||
content = GENOME.read_text(encoding="utf-8")
|
||||
required = [
|
||||
"# GENOME.md — Wolf (Timmy_Foundation/wolf)",
|
||||
"tests/test_models.py",
|
||||
"tests/test_gitea.py",
|
||||
"tests/test_runner.py",
|
||||
".gitea/workflows/smoke.yml",
|
||||
".github/workflows/smoke-test.yml",
|
||||
"`GENOME.md` at repo root",
|
||||
]
|
||||
missing = [item for item in required if item not in content]
|
||||
assert not missing, f"wolf genome missing current repo facts: {missing}"
|
||||
Reference in New Issue
Block a user