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knowledge/SCHEMA.md
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knowledge/SCHEMA.md
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# Knowledge File Format Specification
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**Version:** 1
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**Issue:** #10
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**Status:** Draft
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|
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---
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## Overview
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The knowledge system has two layers:
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1. **index.json** — Machine-readable fact index. Fast lookups by ID, category, repo, tags.
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2. **Knowledge files** (YAML) — Human-readable, editable facts organized by domain.
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The harvester writes to both. The bootstrapper reads from index.json. Humans edit the YAML files directly.
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|
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---
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## index.json Schema
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```json
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{
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"version": 1,
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"last_updated": "ISO-8601 timestamp",
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"total_facts": 0,
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"facts": []
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}
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```
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### Fact Object
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| Field | Type | Required | Description |
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|-------|------|----------|-------------|
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| `id` | string | yes | Unique identifier: `{domain}:{category}:{sequence}` |
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| `fact` | string | yes | One-sentence description of the knowledge |
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| `category` | enum | yes | One of: `fact`, `pitfall`, `pattern`, `tool-quirk`, `question` |
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| `domain` | string | yes | Where this applies: repo name, `global`, or agent name |
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| `confidence` | float | yes | 0.0-1.0. How certain is this knowledge? |
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| `tags` | string[] | no | Searchable labels: `["git", "auth", "gitea"]` |
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| `source_count` | int | no | How many sessions confirmed this fact |
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| `first_seen` | date | no | ISO-8601 date first extracted |
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| `last_confirmed` | date | no | ISO-8601 date last seen in a session |
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| `expires` | date | no | Optional. After this date, fact is stale |
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||||
| `related` | string[] | no | IDs of related facts |
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|
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### ID Format
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|
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```
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{domain}:{category}:{sequence}
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```
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- `domain` — repo name, `global`, or agent type
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- `category` — one of the 5 categories
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- `sequence` — zero-padded 3-digit number: `001`, `002`, ...
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|
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Examples:
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- `the-nexus:pitfall:001`
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- `global:tool-quirk:012`
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- `hermes-agent:pattern:003`
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|
||||
### Categories
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||||
|
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| Category | Definition | Example |
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||||
|----------|------------|---------|
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| `fact` | Concrete, verifiable information | "Gitea API requires token auth at /api/v1" |
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| `pitfall` | Errors, wrong assumptions, time-wasters | "Assumed env var GITEA_TOKEN; actual path is ~/.config/gitea/token" |
|
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| `pattern` | Successful sequences of actions | "To deploy: test -> build -> push -> webhook" |
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| `tool-quirk` | Environment-specific behaviors | "URL format requires trailing slash on macOS" |
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| `question` | Identified but unanswered | "Need optimal batch size for harvesting" |
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|
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### Confidence Scoring
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|
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| Range | Meaning |
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|-------|---------|
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| 0.9-1.0 | Explicitly stated and verified |
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||||
| 0.7-0.8 | Clearly implied by multiple data points |
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||||
| 0.5-0.6 | Suggested but not fully verified |
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||||
| 0.3-0.4 | Inferred from limited data |
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| 0.1-0.2 | Speculative or uncertain |
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---
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## Knowledge Files (YAML)
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Human-readable files stored in `knowledge/` subdirectories.
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### Directory Structure
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||||
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```
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knowledge/
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├── index.json # Machine-readable fact index
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├── SCHEMA.md # This file
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├── global/ # Cross-repo knowledge
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│ ├── pitfalls.yaml # Pitfalls that span multiple repos
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│ ├── patterns.yaml # Proven workflows
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│ └── tool-quirks.yaml # Environment behaviors
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├── repos/ # Per-repo knowledge
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│ ├── the-nexus.yaml
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│ ├── hermes-agent.yaml
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│ └── ...
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└── agents/ # Agent-type knowledge
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||||
├── mimo-sprint.yaml
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||||
└── ...
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```
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||||
|
||||
### YAML File Format
|
||||
|
||||
```yaml
|
||||
---
|
||||
domain: global # or repo name or agent name
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category: tool-quirk # fact, pitfall, pattern, tool-quirk, question
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||||
version: 1
|
||||
last_updated: "2026-04-13"
|
||||
---
|
||||
|
||||
# Tool Quirks (Global)
|
||||
|
||||
Cross-environment behaviors that bite you if you don't know them.
|
||||
|
||||
## Authentication
|
||||
|
||||
- id: global:tool-quirk:001
|
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fact: "Gitea token stored at ~/.config/gitea/token, not env var"
|
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confidence: 0.95
|
||||
tags: [git, auth, gitea]
|
||||
source_count: 23
|
||||
first_seen: "2026-03-27"
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last_confirmed: "2026-04-13"
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related: [global:pitfall:003]
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```
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### Rules
|
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1. **One file per domain per category.** `repos/the-nexus.yaml` holds all the-nexus facts.
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2. **Markdown sections for humans.** YAML items live under markdown headers for Gitea UI readability.
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3. **ID is the link.** The `id` field connects YAML facts to index.json entries.
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4. **Harvester writes, humans edit.** Harvester appends. Humans correct confidence, add tags, mark expired.
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||||
|
||||
---
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## Sync Rules
|
||||
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1. **Harvester -> YAML:** Appends new facts to the appropriate YAML file.
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||||
2. **Harvester -> index.json:** Adds/updates fact entries.
|
||||
3. **Human edits YAML:** Changes propagate to index.json on next harvester run.
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4. **Confidence decay:** Facts not confirmed in 30+ sessions get confidence *= 0.9.
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5. **Expiration:** Facts with `expires` date past current date are marked `stale`.
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||||
|
||||
---
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||||
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## Validation
|
||||
|
||||
Facts must pass these checks:
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||||
|
||||
1. `id` matches format `{domain}:{category}:{sequence}`
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||||
2. `category` is one of the 5 allowed values
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3. `confidence` is between 0.0 and 1.0
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4. `fact` is non-empty string, max 280 characters
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5. `domain` is non-empty string
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6. `tags` are lowercase alphanumeric + hyphens
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7. No duplicate IDs in index.json
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Validation script: `scripts/validate_knowledge.py`
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80
knowledge/global/pitfalls.yaml
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80
knowledge/global/pitfalls.yaml
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@@ -0,0 +1,80 @@
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||||
---
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||||
domain: global
|
||||
category: pitfall
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||||
version: 1
|
||||
last_updated: "2026-04-13"
|
||||
---
|
||||
|
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# Pitfalls (Global)
|
||||
|
||||
Cross-repo traps that waste time across the fleet.
|
||||
|
||||
## Git & Forge
|
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- id: global:pitfall:001
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fact: "Branch protection requires 1 approval on main - API merges fail with 405 without it"
|
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confidence: 0.95
|
||||
tags: [git, merge, branch-protection, gitea]
|
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source_count: 12
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first_seen: "2026-04-05"
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last_confirmed: "2026-04-13"
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related: [the-nexus:pitfall:001]
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|
||||
- id: global:pitfall:002
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fact: "Never use --no-verify on git commits - it bypasses all hooks including safety checks"
|
||||
confidence: 0.95
|
||||
tags: [git, hooks, safety]
|
||||
source_count: 5
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||||
first_seen: "2026-03-28"
|
||||
last_confirmed: "2026-04-13"
|
||||
|
||||
- id: global:pitfall:003
|
||||
fact: "Gitea PR creation workaround needed on the-nexus - direct API call fails, use alternative endpoint"
|
||||
confidence: 0.9
|
||||
tags: [gitea, pr, api, workaround]
|
||||
source_count: 4
|
||||
first_seen: "2026-04-06"
|
||||
last_confirmed: "2026-04-12"
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||||
|
||||
## Agent Operations
|
||||
|
||||
- id: global:pitfall:004
|
||||
fact: "Anthropic is BANNED from fallback chain - if fallback triggers to Anthropic, something is wrong"
|
||||
confidence: 0.95
|
||||
tags: [provider, anthropic, fallback]
|
||||
source_count: 7
|
||||
first_seen: "2026-03-30"
|
||||
last_confirmed: "2026-04-13"
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||||
|
||||
- id: global:pitfall:005
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||||
fact: "Telegram tokens expired - don't assume Telegram notifications work without checking"
|
||||
confidence: 0.85
|
||||
tags: [telegram, notifications, token]
|
||||
source_count: 3
|
||||
first_seen: "2026-04-02"
|
||||
|
||||
- id: global:pitfall:006
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||||
fact: "Multiple gateways = 'cannot schedule futures' error - only one gateway process should run"
|
||||
confidence: 0.9
|
||||
tags: [gateway, cron, process]
|
||||
source_count: 4
|
||||
first_seen: "2026-04-04"
|
||||
last_confirmed: "2026-04-11"
|
||||
|
||||
## Testing
|
||||
|
||||
- id: global:pitfall:007
|
||||
fact: "pytest root collection picks up operational *_test.py scripts - restrict to tests/ directory"
|
||||
confidence: 0.9
|
||||
tags: [pytest, test, collection]
|
||||
source_count: 3
|
||||
first_seen: "2026-04-07"
|
||||
last_confirmed: "2026-04-13"
|
||||
|
||||
- id: global:pitfall:008
|
||||
fact: "TDD: test 1 before building 55 - verify the cycle works before scaling"
|
||||
confidence: 0.95
|
||||
tags: [tdd, testing, methodology]
|
||||
source_count: 8
|
||||
first_seen: "2026-03-25"
|
||||
last_confirmed: "2026-04-13"
|
||||
73
knowledge/global/tool-quirks.yaml
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73
knowledge/global/tool-quirks.yaml
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@@ -0,0 +1,73 @@
|
||||
---
|
||||
domain: global
|
||||
category: tool-quirk
|
||||
version: 1
|
||||
last_updated: "2026-04-13"
|
||||
---
|
||||
|
||||
# Tool Quirks (Global)
|
||||
|
||||
Cross-environment behaviors that bite you if you don't know them.
|
||||
|
||||
## Authentication
|
||||
|
||||
- id: global:tool-quirk:001
|
||||
fact: "Gitea token stored at ~/.config/gitea/token, not env var GITEA_TOKEN"
|
||||
confidence: 0.95
|
||||
tags: [git, auth, gitea, token]
|
||||
source_count: 23
|
||||
first_seen: "2026-03-27"
|
||||
last_confirmed: "2026-04-13"
|
||||
related: [global:pitfall:001]
|
||||
|
||||
- id: global:tool-quirk:002
|
||||
fact: "Gitea API uses 'Authorization: token TOKEN' header format, not Bearer"
|
||||
confidence: 0.9
|
||||
tags: [git, api, gitea]
|
||||
source_count: 8
|
||||
first_seen: "2026-03-28"
|
||||
last_confirmed: "2026-04-12"
|
||||
|
||||
- id: global:tool-quirk:003
|
||||
fact: "Gitea Issues API type=issues param does NOT filter PRs - use truthiness check on pull_request field"
|
||||
confidence: 0.95
|
||||
tags: [gitea, api, issues, pr]
|
||||
source_count: 6
|
||||
first_seen: "2026-04-01"
|
||||
last_confirmed: "2026-04-13"
|
||||
|
||||
## Paths & Environment
|
||||
|
||||
- id: global:tool-quirk:004
|
||||
fact: "~/.hermes is the default hermes home - check get_hermes_home() not the path literal"
|
||||
confidence: 0.9
|
||||
tags: [paths, hermes, env]
|
||||
source_count: 10
|
||||
first_seen: "2026-03-30"
|
||||
last_confirmed: "2026-04-13"
|
||||
related: [hermes-agent:pitfall:005]
|
||||
|
||||
- id: global:tool-quirk:005
|
||||
fact: "Ansible vault-encrypted vars in YAML require vault_inline_vars plugin - standard ansible-vault fails"
|
||||
confidence: 0.85
|
||||
tags: [ansible, vault, config]
|
||||
source_count: 3
|
||||
first_seen: "2026-04-02"
|
||||
|
||||
## Model & Inference
|
||||
|
||||
- id: global:tool-quirk:006
|
||||
fact: "mimo-v2-pro via Nous Research is the default model - don't assume Anthropic is available"
|
||||
confidence: 0.95
|
||||
tags: [model, provider, nous, default]
|
||||
source_count: 15
|
||||
first_seen: "2026-03-25"
|
||||
last_confirmed: "2026-04-13"
|
||||
|
||||
- id: global:tool-quirk:007
|
||||
fact: "Kill + restart with 'hermes chat' preserves old model state - NEVER use --resume"
|
||||
confidence: 0.95
|
||||
tags: [hermes, model, restart, session]
|
||||
source_count: 8
|
||||
first_seen: "2026-03-29"
|
||||
last_confirmed: "2026-04-12"
|
||||
82
knowledge/repos/hermes-agent.yaml
Normal file
82
knowledge/repos/hermes-agent.yaml
Normal file
@@ -0,0 +1,82 @@
|
||||
---
|
||||
domain: hermes-agent
|
||||
category: pitfall
|
||||
version: 1
|
||||
last_updated: "2026-04-13"
|
||||
---
|
||||
|
||||
# Pitfalls (hermes-agent)
|
||||
|
||||
Things that go wrong in this repo if you don't know the traps.
|
||||
|
||||
## Cron & Deployment
|
||||
|
||||
- id: hermes-agent:pitfall:001
|
||||
fact: "deploy-crons.py leaves jobs in mixed model format - some have provider/model, some just model"
|
||||
confidence: 0.95
|
||||
tags: [cron, deploy, model, config]
|
||||
source_count: 5
|
||||
first_seen: "2026-04-08"
|
||||
last_confirmed: "2026-04-13"
|
||||
related: [hermes-agent:pitfall:002, hermes-agent:pitfall:003]
|
||||
|
||||
- id: hermes-agent:pitfall:002
|
||||
fact: "deploy-crons.py --deploy doesn't set legacy skill field from skills list, breaking older jobs"
|
||||
confidence: 0.9
|
||||
tags: [cron, deploy, skills]
|
||||
source_count: 3
|
||||
first_seen: "2026-04-09"
|
||||
last_confirmed: "2026-04-13"
|
||||
related: [hermes-agent:pitfall:001]
|
||||
|
||||
- id: hermes-agent:pitfall:003
|
||||
fact: "Cron jobs with blank fallback_model fields trigger spurious gateway warnings"
|
||||
confidence: 0.9
|
||||
tags: [cron, model, fallback]
|
||||
source_count: 4
|
||||
first_seen: "2026-04-07"
|
||||
last_confirmed: "2026-04-12"
|
||||
related: [hermes-agent:pitfall:001]
|
||||
|
||||
- id: hermes-agent:pitfall:004
|
||||
fact: "model-watchdog.py checks first provider line, not model.provider - causes false drift alarms"
|
||||
confidence: 0.9
|
||||
tags: [watchdog, model, config]
|
||||
source_count: 3
|
||||
first_seen: "2026-04-08"
|
||||
last_confirmed: "2026-04-13"
|
||||
|
||||
## Path & Environment
|
||||
|
||||
- id: hermes-agent:pitfall:005
|
||||
fact: "10+ files read HERMES_HOME directly instead of get_hermes_home() - breaks on custom paths"
|
||||
confidence: 0.85
|
||||
tags: [paths, env, hermes-home]
|
||||
source_count: 6
|
||||
first_seen: "2026-04-06"
|
||||
last_confirmed: "2026-04-12"
|
||||
related: [global:pitfall:002]
|
||||
|
||||
- id: hermes-agent:pitfall:006
|
||||
fact: "get_hermes_home() doesn't expand tilde when HERMES_HOME=~/... is set"
|
||||
confidence: 0.8
|
||||
tags: [paths, env, bug]
|
||||
source_count: 2
|
||||
first_seen: "2026-04-05"
|
||||
|
||||
## SSH & Dispatch
|
||||
|
||||
- id: hermes-agent:pitfall:007
|
||||
fact: "vps-agent-dispatch reports OK while remote hermes binary path is broken"
|
||||
confidence: 0.9
|
||||
tags: [ssh, dispatch, vps]
|
||||
source_count: 4
|
||||
first_seen: "2026-04-07"
|
||||
last_confirmed: "2026-04-11"
|
||||
|
||||
- id: hermes-agent:pitfall:008
|
||||
fact: "nightwatch-health-monitor SSH check fails on cloud-model-only deployments"
|
||||
confidence: 0.85
|
||||
tags: [ssh, health, cloud]
|
||||
source_count: 2
|
||||
first_seen: "2026-04-10"
|
||||
65
knowledge/repos/the-nexus.yaml
Normal file
65
knowledge/repos/the-nexus.yaml
Normal file
@@ -0,0 +1,65 @@
|
||||
---
|
||||
domain: the-nexus
|
||||
category: pitfall
|
||||
version: 1
|
||||
last_updated: "2026-04-13"
|
||||
---
|
||||
|
||||
# Pitfalls (the-nexus)
|
||||
|
||||
Things that go wrong in this repo if you don't know the traps.
|
||||
|
||||
## Git & Merging
|
||||
|
||||
- id: the-nexus:pitfall:001
|
||||
fact: "Merges fail with HTTP 405 due to branch protection - must use merge API with 1 approval"
|
||||
confidence: 0.95
|
||||
tags: [git, merge, branch-protection, gitea]
|
||||
source_count: 12
|
||||
first_seen: "2026-04-05"
|
||||
last_confirmed: "2026-04-13"
|
||||
related: [global:pitfall:001]
|
||||
|
||||
- id: the-nexus:pitfall:002
|
||||
fact: "ThreadingHTTPServer required for multi-user bridge - standard HTTPServer blocks on concurrent requests"
|
||||
confidence: 0.95
|
||||
tags: [server, concurrency, bridge]
|
||||
source_count: 5
|
||||
first_seen: "2026-04-10"
|
||||
last_confirmed: "2026-04-13"
|
||||
|
||||
- id: the-nexus:pitfall:003
|
||||
fact: "ChatLog.log() crashes on message persistence when index.html has orphaned button tags"
|
||||
confidence: 0.9
|
||||
tags: [html, crash, chatlog]
|
||||
source_count: 3
|
||||
first_seen: "2026-04-12"
|
||||
last_confirmed: "2026-04-13"
|
||||
|
||||
## Three.js & Performance
|
||||
|
||||
- id: the-nexus:pitfall:004
|
||||
fact: "Three.js LOD not implemented - local hardware struggles with full scene without texture optimization"
|
||||
confidence: 0.85
|
||||
tags: [threejs, performance, lod]
|
||||
source_count: 4
|
||||
first_seen: "2026-04-09"
|
||||
last_confirmed: "2026-04-13"
|
||||
|
||||
- id: the-nexus:pitfall:005
|
||||
fact: "Duplicate content blocks appear in index.html when PR merges conflict silently"
|
||||
confidence: 0.8
|
||||
tags: [html, merge-conflict, duplicate]
|
||||
source_count: 3
|
||||
first_seen: "2026-04-11"
|
||||
last_confirmed: "2026-04-13"
|
||||
|
||||
## Deployment
|
||||
|
||||
- id: the-nexus:pitfall:006
|
||||
fact: "Unified HTTP + WebSocket server required for proper URL deployment - separate servers break CORS"
|
||||
confidence: 0.9
|
||||
tags: [deploy, websocket, http, cors]
|
||||
source_count: 4
|
||||
first_seen: "2026-04-10"
|
||||
last_confirmed: "2026-04-13"
|
||||
61
metrics/dashboard.md
Normal file
61
metrics/dashboard.md
Normal file
@@ -0,0 +1,61 @@
|
||||
# Compounding Intelligence Metrics
|
||||
**Generated:** 2026-04-14T18:12:26.469085+00:00
|
||||
|
||||
## knowledge_velocity
|
||||
New facts extracted per day. Higher = compounding loop working.
|
||||
|
||||
**Value:** 1.61 | **7d trend:** N/A --- (unknown)
|
||||
|
||||
- total_facts: 29
|
||||
- period_days: 18
|
||||
- new_facts: 29
|
||||
|
||||
## knowledge_coverage
|
||||
Percentage of domains/repos with 10+ facts. Measures breadth.
|
||||
|
||||
**Value:** 0.333 | **7d trend:** N/A --- (unknown)
|
||||
|
||||
- covered_domains: 1
|
||||
- total_domains: 3
|
||||
|
||||
## hit_rate
|
||||
Percentage of sessions referencing bootstrapped knowledge.
|
||||
|
||||
**Value:** 0.676 | **7d trend:** N/A --- (unknown)
|
||||
|
||||
- hit_sessions: 8058
|
||||
- total_sessions: 11922
|
||||
|
||||
## error_recurrence
|
||||
Ratio of recurring errors. Lower = fleet learning from mistakes.
|
||||
|
||||
**Value:** 0.17 | **7d trend:** N/A --- (unknown)
|
||||
|
||||
- unique_errors: 53615
|
||||
- recurring_errors: 9093
|
||||
|
||||
## task_completion
|
||||
Percentage of sessions ending with successful completion.
|
||||
|
||||
**Value:** 0.452 | **7d trend:** N/A --- (unknown)
|
||||
|
||||
- normal_end_rate: 0.56
|
||||
- completed: 5385
|
||||
- total: 11922
|
||||
|
||||
## first_try_success
|
||||
Percentage of sessions completed without backtracking.
|
||||
|
||||
**Value:** 0.818 | **7d trend:** N/A --- (unknown)
|
||||
|
||||
- avg_tool_msg_ratio: 0.392
|
||||
- sampled: 5923
|
||||
|
||||
## knowledge_age
|
||||
Freshness of knowledge store. 1.0 = all fresh, 0.0 = all stale.
|
||||
|
||||
**Value:** 0.973 | **7d trend:** N/A --- (unknown)
|
||||
|
||||
- avg_age_days: 2.4
|
||||
- stale_facts: 0
|
||||
- total_facts: 29
|
||||
127
metrics/latest_snapshot.json
Normal file
127
metrics/latest_snapshot.json
Normal file
@@ -0,0 +1,127 @@
|
||||
{
|
||||
"generated_at": "2026-04-14T18:12:26.469085+00:00",
|
||||
"knowledge_velocity": {
|
||||
"value": 1.61,
|
||||
"total_facts": 29,
|
||||
"period_days": 18,
|
||||
"new_facts": 29
|
||||
},
|
||||
"knowledge_coverage": {
|
||||
"value": 0.333,
|
||||
"covered_domains": 1,
|
||||
"total_domains": 3,
|
||||
"domain_details": {
|
||||
"global": 15,
|
||||
"hermes-agent": 8,
|
||||
"the-nexus": 6
|
||||
}
|
||||
},
|
||||
"hit_rate": {
|
||||
"value": 0.676,
|
||||
"hit_sessions": 8058,
|
||||
"total_sessions": 11922
|
||||
},
|
||||
"error_recurrence": {
|
||||
"value": 0.17,
|
||||
"unique_errors": 53615,
|
||||
"recurring_errors": 9093,
|
||||
"top_errors": [
|
||||
{
|
||||
"error": "s, report the error details.",
|
||||
"sessions": 1185
|
||||
},
|
||||
{
|
||||
"error": "\": \"traceback (most recent call last):\\n file \\\"/private/var/folders/9k/v07xkpp",
|
||||
"sessions": 695
|
||||
},
|
||||
{
|
||||
"error": "\", \"output\": \"\\n--- stderr ---\\ntraceback (most recent call last):\\n file \\\"/pr",
|
||||
"sessions": 684
|
||||
},
|
||||
{
|
||||
"error": "ures \u2192 file an issue with the traceback and tag [bug]",
|
||||
"sessions": 320
|
||||
},
|
||||
{
|
||||
"error": "s you encounter \u2192 file an issue with reproduction steps",
|
||||
"sessions": 320
|
||||
},
|
||||
{
|
||||
"error": "s, file a [bug] issue first.",
|
||||
"sessions": 320
|
||||
},
|
||||
{
|
||||
"error": ", fix the code.",
|
||||
"sessions": 314
|
||||
},
|
||||
{
|
||||
"error": "fix it before doing anything else.",
|
||||
"sessions": 313
|
||||
},
|
||||
{
|
||||
"error": "ures \u2192 add a review comment explaining what's wrong",
|
||||
"sessions": 303
|
||||
},
|
||||
{
|
||||
"error": "ures \u2014 they're your roadmap for guardrails",
|
||||
"sessions": 303
|
||||
}
|
||||
]
|
||||
},
|
||||
"task_completion": {
|
||||
"value": 0.452,
|
||||
"normal_end_rate": 0.56,
|
||||
"completed": 5385,
|
||||
"total": 11922,
|
||||
"breakdown": {
|
||||
"cron_complete": 5354,
|
||||
"unknown": 5248,
|
||||
"compression": 1092,
|
||||
"cli_close": 197,
|
||||
"session_reset": 31
|
||||
}
|
||||
},
|
||||
"first_try_success": {
|
||||
"value": 0.818,
|
||||
"avg_tool_msg_ratio": 0.392,
|
||||
"sampled": 5923,
|
||||
"interpretation": "Higher value = fewer backtracks = better first-try success"
|
||||
},
|
||||
"knowledge_age": {
|
||||
"value": 0.973,
|
||||
"avg_age_days": 2.4,
|
||||
"stale_facts": 0,
|
||||
"total_facts": 29,
|
||||
"interpretation": "1.0 = all facts fresh. 0.0 = all facts 90+ days old"
|
||||
},
|
||||
"trend_7d": {
|
||||
"knowledge_velocity": {
|
||||
"delta": "N/A",
|
||||
"direction": "unknown"
|
||||
},
|
||||
"knowledge_coverage": {
|
||||
"delta": "N/A",
|
||||
"direction": "unknown"
|
||||
},
|
||||
"hit_rate": {
|
||||
"delta": "N/A",
|
||||
"direction": "unknown"
|
||||
},
|
||||
"error_recurrence": {
|
||||
"delta": "N/A",
|
||||
"direction": "unknown"
|
||||
},
|
||||
"task_completion": {
|
||||
"delta": "N/A",
|
||||
"direction": "unknown"
|
||||
},
|
||||
"first_try_success": {
|
||||
"delta": "N/A",
|
||||
"direction": "unknown"
|
||||
},
|
||||
"knowledge_age": {
|
||||
"delta": "N/A",
|
||||
"direction": "unknown"
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1,131 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Knowledge Store Staleness Detector — Detect stale knowledge entries by comparing source file hashes.
|
||||
|
||||
Usage:
|
||||
python3 scripts/knowledge_staleness_check.py --index knowledge/index.json
|
||||
python3 scripts/knowledge_staleness_check.py --index knowledge/index.json --json
|
||||
python3 scripts/knowledge_staleness_check.py --index knowledge/index.json --fix
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import hashlib
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
from datetime import datetime, timezone
|
||||
from pathlib import Path
|
||||
from typing import Dict, List, Any, Optional
|
||||
|
||||
|
||||
def compute_file_hash(filepath: str) -> Optional[str]:
|
||||
"""Compute SHA-256 hash of a file. Returns None if file doesn't exist."""
|
||||
try:
|
||||
with open(filepath, "rb") as f:
|
||||
return "sha256:" + hashlib.sha256(f.read()).hexdigest()
|
||||
except (FileNotFoundError, IsADirectoryError, PermissionError):
|
||||
return None
|
||||
|
||||
|
||||
def check_staleness(index_path: str, repo_root: str = ".") -> List[Dict[str, Any]]:
|
||||
"""Check all entries in knowledge index for staleness.
|
||||
|
||||
Returns list of entries with staleness info:
|
||||
- status: "fresh" | "stale" | "missing_source" | "no_hash"
|
||||
- current_hash: computed hash (if source exists)
|
||||
- stored_hash: hash from index
|
||||
"""
|
||||
with open(index_path) as f:
|
||||
data = json.load(f)
|
||||
|
||||
facts = data.get("facts", [])
|
||||
results = []
|
||||
|
||||
for entry in facts:
|
||||
source_file = entry.get("source_file")
|
||||
stored_hash = entry.get("source_hash")
|
||||
|
||||
if not source_file:
|
||||
results.append({**entry, "status": "no_source", "current_hash": None})
|
||||
continue
|
||||
|
||||
full_path = os.path.join(repo_root, source_file)
|
||||
current_hash = compute_file_hash(full_path)
|
||||
|
||||
if current_hash is None:
|
||||
results.append({**entry, "status": "missing_source", "current_hash": None})
|
||||
elif not stored_hash:
|
||||
results.append({**entry, "status": "no_hash", "current_hash": current_hash})
|
||||
elif current_hash != stored_hash:
|
||||
results.append({**entry, "status": "stale", "current_hash": current_hash})
|
||||
else:
|
||||
results.append({**entry, "status": "fresh", "current_hash": current_hash})
|
||||
|
||||
return results
|
||||
|
||||
|
||||
def fix_hashes(index_path: str, repo_root: str = ".") -> int:
|
||||
"""Add hashes to entries missing them. Returns count of fixed entries."""
|
||||
with open(index_path) as f:
|
||||
data = json.load(f)
|
||||
|
||||
fixed = 0
|
||||
for entry in data.get("facts", []):
|
||||
if entry.get("source_hash"):
|
||||
continue
|
||||
source_file = entry.get("source_file")
|
||||
if not source_file:
|
||||
continue
|
||||
full_path = os.path.join(repo_root, source_file)
|
||||
h = compute_file_hash(full_path)
|
||||
if h:
|
||||
entry["source_hash"] = h
|
||||
fixed += 1
|
||||
|
||||
with open(index_path, "w") as f:
|
||||
json.dump(data, f, indent=2)
|
||||
|
||||
return fixed
|
||||
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description="Check knowledge store staleness")
|
||||
parser.add_argument("--index", required=True, help="Path to knowledge/index.json")
|
||||
parser.add_argument("--repo", default=".", help="Repo root for source file resolution")
|
||||
parser.add_argument("--json", action="store_true", help="Output as JSON")
|
||||
parser.add_argument("--fix", action="store_true", help="Add hashes to entries missing them")
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
if args.fix:
|
||||
fixed = fix_hashes(args.index, args.repo)
|
||||
print(f"Fixed {fixed} entries with missing hashes.")
|
||||
return
|
||||
|
||||
results = check_staleness(args.index, args.repo)
|
||||
|
||||
if args.json:
|
||||
print(json.dumps(results, indent=2))
|
||||
else:
|
||||
stale = [r for r in results if r["status"] != "fresh"]
|
||||
fresh = [r for r in results if r["status"] == "fresh"]
|
||||
|
||||
print(f"Knowledge Store Staleness Check")
|
||||
print(f" Total entries: {len(results)}")
|
||||
print(f" Fresh: {len(fresh)}")
|
||||
print(f" Stale/Issues: {len(stale)}")
|
||||
print()
|
||||
|
||||
if stale:
|
||||
print("Issues found:")
|
||||
for r in stale:
|
||||
status = r["status"]
|
||||
fact = r.get("fact", "?")[:60]
|
||||
source = r.get("source_file", "?")
|
||||
print(f" [{status}] {source}: {fact}")
|
||||
else:
|
||||
print("All entries are fresh!")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
403
scripts/measurer.py
Normal file
403
scripts/measurer.py
Normal file
@@ -0,0 +1,403 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Compounding Intelligence Metrics Engine.
|
||||
|
||||
Computes 7 metrics that prove whether the knowledge compounding loop is working:
|
||||
1. Knowledge velocity -- new facts per day
|
||||
2. Knowledge coverage -- % of domains with >10 facts
|
||||
3. Hit rate -- % of sessions referencing bootstrap knowledge
|
||||
4. Error recurrence -- same errors across sessions (should decrease)
|
||||
5. Task completion -- % of sessions ending successfully
|
||||
6. First-try success -- actions without backtracking
|
||||
7. Knowledge age -- staleness of facts
|
||||
|
||||
Usage:
|
||||
python3 measurer.py # All metrics, all time
|
||||
python3 measurer.py --since 2026-04-01 # Time range
|
||||
python3 measurer.py --repo the-nexus # Per-repo metrics
|
||||
python3 measurer.py --format json # JSON output (default)
|
||||
python3 measurer.py --format markdown # Human-readable
|
||||
python3 measurer.py --knowledge-dir ./knowledge # Custom knowledge path
|
||||
python3 measurer.py --db ~/.hermes/state.db # Custom DB path
|
||||
|
||||
Data sources:
|
||||
- knowledge/index.json -- fact index
|
||||
- knowledge/ -- YAML fact files for coverage
|
||||
- ~/.hermes/state.db -- session/message metadata
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import json
|
||||
import os
|
||||
import re
|
||||
import sqlite3
|
||||
import sys
|
||||
from collections import Counter, defaultdict
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
|
||||
# --- Defaults ---
|
||||
|
||||
DEFAULT_KNOWLEDGE_DIR = Path(__file__).parent.parent / "knowledge"
|
||||
DEFAULT_DB_PATH = Path.home() / ".hermes" / "state.db"
|
||||
SEVEN_DAYS = timedelta(days=7)
|
||||
|
||||
|
||||
# --- Knowledge Store ---
|
||||
|
||||
def load_facts(knowledge_dir):
|
||||
index_path = knowledge_dir / "index.json"
|
||||
if not index_path.exists():
|
||||
return []
|
||||
with open(index_path) as f:
|
||||
data = json.load(f)
|
||||
return data.get("facts", [])
|
||||
|
||||
|
||||
def count_yaml_facts(knowledge_dir):
|
||||
domain_counts = {}
|
||||
for subdir in ["repos", "global", "agents"]:
|
||||
dirpath = knowledge_dir / subdir
|
||||
if not dirpath.exists():
|
||||
continue
|
||||
for yaml_file in dirpath.glob("*.yaml"):
|
||||
count = 0
|
||||
try:
|
||||
content = yaml_file.read_text()
|
||||
count = len(re.findall(r"^\s*-\s*id:", content, re.MULTILINE))
|
||||
except Exception:
|
||||
pass
|
||||
domain = yaml_file.stem
|
||||
domain_counts[domain] = domain_counts.get(domain, 0) + count
|
||||
return domain_counts
|
||||
|
||||
|
||||
# --- Session Database ---
|
||||
|
||||
def open_db(db_path):
|
||||
if not db_path.exists():
|
||||
print(f"WARNING: Database not found at {db_path}", file=sys.stderr)
|
||||
return None
|
||||
conn = sqlite3.connect(str(db_path))
|
||||
conn.row_factory = sqlite3.Row
|
||||
return conn
|
||||
|
||||
|
||||
def query_sessions(conn, since=None, repo=None):
|
||||
if conn is None:
|
||||
return []
|
||||
query = "SELECT id, started_at, ended_at, end_reason, message_count, tool_call_count, model FROM sessions WHERE 1=1"
|
||||
params = []
|
||||
if since:
|
||||
since_ts = datetime.fromisoformat(since).replace(tzinfo=timezone.utc).timestamp()
|
||||
query += " AND started_at >= ?"
|
||||
params.append(since_ts)
|
||||
query += " ORDER BY started_at ASC"
|
||||
cur = conn.execute(query, params)
|
||||
return [dict(row) for row in cur.fetchall()]
|
||||
|
||||
|
||||
def query_messages(conn, session_ids=None, since_ts=None):
|
||||
if conn is None:
|
||||
return []
|
||||
query = "SELECT m.session_id, m.role, m.content, m.tool_name, m.timestamp FROM messages m WHERE 1=1"
|
||||
params = []
|
||||
if since_ts:
|
||||
query += " AND m.timestamp >= ?"
|
||||
params.append(since_ts)
|
||||
if session_ids:
|
||||
placeholders = ",".join("?" for _ in session_ids)
|
||||
query += f" AND m.session_id IN ({placeholders})"
|
||||
params.extend(session_ids)
|
||||
cur = conn.execute(query, params)
|
||||
return [dict(row) for row in cur.fetchall()]
|
||||
|
||||
|
||||
# --- Metric Computations ---
|
||||
|
||||
def compute_knowledge_velocity(facts, since=None):
|
||||
if not facts:
|
||||
return {"value": 0.0, "total_facts": 0, "period_days": 0, "new_facts": 0}
|
||||
dates = []
|
||||
for f in facts:
|
||||
d = f.get("first_seen") or f.get("created")
|
||||
if d:
|
||||
try:
|
||||
dt = datetime.fromisoformat(d.replace("Z", "+00:00"))
|
||||
if dt.tzinfo is None:
|
||||
dt = dt.replace(tzinfo=timezone.utc)
|
||||
dates.append(dt)
|
||||
except (ValueError, AttributeError):
|
||||
pass
|
||||
if not dates:
|
||||
return {"value": 0.0, "total_facts": len(facts), "period_days": 0, "new_facts": 0}
|
||||
if since:
|
||||
cutoff = datetime.fromisoformat(since).replace(tzinfo=timezone.utc)
|
||||
dates = [d for d in dates if d >= cutoff]
|
||||
if not dates:
|
||||
return {"value": 0.0, "total_facts": len(facts), "period_days": 0, "new_facts": 0}
|
||||
earliest = min(dates)
|
||||
latest = max(dates)
|
||||
period_days = max((latest - earliest).days, 1)
|
||||
return {"value": round(len(dates) / period_days, 2), "total_facts": len(facts), "period_days": period_days, "new_facts": len(dates)}
|
||||
|
||||
|
||||
def compute_knowledge_coverage(facts, yaml_counts):
|
||||
domain_fact_counts = defaultdict(int)
|
||||
for f in facts:
|
||||
domain = f.get("domain", "unknown")
|
||||
domain_fact_counts[domain] += 1
|
||||
for domain, count in yaml_counts.items():
|
||||
domain_fact_counts[domain] = max(domain_fact_counts[domain], count)
|
||||
total_domains = len(domain_fact_counts)
|
||||
if total_domains == 0:
|
||||
return {"value": 0.0, "covered_domains": 0, "total_domains": 0, "domain_details": {}}
|
||||
covered = sum(1 for c in domain_fact_counts.values() if c >= 10)
|
||||
return {"value": round(covered / total_domains, 3), "covered_domains": covered, "total_domains": total_domains, "domain_details": dict(sorted(domain_fact_counts.items(), key=lambda x: -x[1])[:20])}
|
||||
|
||||
|
||||
def compute_hit_rate(sessions, messages, facts):
|
||||
if not sessions or not facts:
|
||||
return {"value": 0.0, "hit_sessions": 0, "total_sessions": len(sessions)}
|
||||
fact_fragments = set()
|
||||
for f in facts:
|
||||
text = f.get("fact", "").lower().strip()
|
||||
if len(text) > 10:
|
||||
fact_fragments.add(text)
|
||||
words = re.findall(r'\w{4,}', text)
|
||||
for w in words:
|
||||
fact_fragments.add(w)
|
||||
if not fact_fragments:
|
||||
return {"value": 0.0, "hit_sessions": 0, "total_sessions": len(sessions)}
|
||||
session_messages = defaultdict(list)
|
||||
for m in messages:
|
||||
content = (m.get("content") or "").lower()
|
||||
if content:
|
||||
session_messages[m["session_id"]].append(content)
|
||||
hit_sessions = 0
|
||||
for session in sessions:
|
||||
sid = session["id"]
|
||||
all_content = " ".join(session_messages.get(sid, []))
|
||||
if any(frag in all_content for frag in fact_fragments):
|
||||
hit_sessions += 1
|
||||
return {"value": round(hit_sessions / len(sessions), 3) if sessions else 0.0, "hit_sessions": hit_sessions, "total_sessions": len(sessions)}
|
||||
|
||||
|
||||
def compute_error_recurrence(messages):
|
||||
if not messages:
|
||||
return {"value": 0.0, "unique_errors": 0, "recurring_errors": 0, "top_errors": []}
|
||||
error_pattern = re.compile(r'(?:error|Error|ERROR|failed|FAIL|exception|Exception)[:\s]*(.{10,80})', re.IGNORECASE)
|
||||
error_to_sessions = defaultdict(set)
|
||||
for m in messages:
|
||||
content = m.get("content") or ""
|
||||
if not content:
|
||||
continue
|
||||
for match in error_pattern.finditer(content):
|
||||
sig = match.group(1).strip().lower()
|
||||
sig = re.sub(r'\s+', ' ', sig)
|
||||
if len(sig) > 5:
|
||||
error_to_sessions[sig].add(m["session_id"])
|
||||
if not error_to_sessions:
|
||||
return {"value": 0.0, "unique_errors": 0, "recurring_errors": 0, "top_errors": []}
|
||||
recurring = {e: s for e, s in error_to_sessions.items() if len(s) > 1}
|
||||
total_errors = len(error_to_sessions)
|
||||
recurring_count = len(recurring)
|
||||
top = sorted(recurring.items(), key=lambda x: -len(x[1]))[:10]
|
||||
return {"value": round(recurring_count / total_errors, 3) if total_errors else 0.0, "unique_errors": total_errors, "recurring_errors": recurring_count, "top_errors": [{"error": e, "sessions": len(s)} for e, s in top]}
|
||||
|
||||
|
||||
def compute_task_completion(sessions):
|
||||
if not sessions:
|
||||
return {"value": 0.0, "completed": 0, "total": 0, "breakdown": {}}
|
||||
breakdown = Counter()
|
||||
for s in sessions:
|
||||
reason = s.get("end_reason") or "unknown"
|
||||
breakdown[reason] += 1
|
||||
completed = breakdown.get("cron_complete", 0) + breakdown.get("session_reset", 0)
|
||||
normal_endings = completed + breakdown.get("cli_close", 0) + breakdown.get("compression", 0)
|
||||
return {"value": round(completed / len(sessions), 3) if sessions else 0.0, "normal_end_rate": round(normal_endings / len(sessions), 3) if sessions else 0.0, "completed": completed, "total": len(sessions), "breakdown": dict(breakdown.most_common())}
|
||||
|
||||
|
||||
def compute_first_try_success(sessions):
|
||||
if not sessions:
|
||||
return {"value": 0.0, "avg_tool_msg_ratio": 0.0, "sampled": 0}
|
||||
ratios = []
|
||||
for s in sessions:
|
||||
msgs = s.get("message_count", 0) or 0
|
||||
tools = s.get("tool_call_count", 0) or 0
|
||||
if msgs > 2:
|
||||
ratios.append(tools / msgs if msgs > 0 else 0)
|
||||
if not ratios:
|
||||
return {"value": 0.0, "avg_tool_msg_ratio": 0.0, "sampled": 0}
|
||||
avg_ratio = sum(ratios) / len(ratios)
|
||||
first_try = sum(1 for r in ratios if r < 0.5)
|
||||
return {"value": round(first_try / len(ratios), 3), "avg_tool_msg_ratio": round(avg_ratio, 3), "sampled": len(ratios), "interpretation": "Higher value = fewer backtracks = better first-try success"}
|
||||
|
||||
|
||||
def compute_knowledge_age(facts):
|
||||
if not facts:
|
||||
return {"value": 0.0, "avg_age_days": 0, "stale_facts": 0, "total_facts": 0}
|
||||
now = datetime.now(timezone.utc)
|
||||
ages = []
|
||||
stale_count = 0
|
||||
for f in facts:
|
||||
confirmed = f.get("last_confirmed") or f.get("first_seen")
|
||||
if confirmed:
|
||||
try:
|
||||
dt = datetime.fromisoformat(confirmed.replace("Z", "+00:00"))
|
||||
if dt.tzinfo is None:
|
||||
dt = dt.replace(tzinfo=timezone.utc)
|
||||
age = (now - dt).days
|
||||
ages.append(age)
|
||||
if age > 30:
|
||||
stale_count += 1
|
||||
except (ValueError, AttributeError):
|
||||
pass
|
||||
if not ages:
|
||||
return {"value": 0.0, "avg_age_days": 0, "stale_facts": 0, "total_facts": len(facts)}
|
||||
avg_age = sum(ages) / len(ages)
|
||||
freshness = max(0.0, 1.0 - (avg_age / 90))
|
||||
return {"value": round(freshness, 3), "avg_age_days": round(avg_age, 1), "stale_facts": stale_count, "total_facts": len(facts), "interpretation": "1.0 = all facts fresh. 0.0 = all facts 90+ days old"}
|
||||
|
||||
|
||||
# --- Trend Computation ---
|
||||
|
||||
def compute_trend(current, previous, metric_key="value"):
|
||||
if not previous:
|
||||
return {"delta": "N/A", "direction": "unknown"}
|
||||
curr_val = current.get(metric_key, 0)
|
||||
prev_val = previous.get(metric_key, 0)
|
||||
if prev_val == 0:
|
||||
return {"delta": "N/A (no baseline)", "direction": "unknown"}
|
||||
pct = ((curr_val - prev_val) / abs(prev_val)) * 100
|
||||
direction = "up" if pct > 0 else "down" if pct < 0 else "flat"
|
||||
if metric_key == "error_recurrence" or metric_key == "knowledge_age":
|
||||
direction_label = "good" if pct < 0 else "bad" if pct > 0 else "neutral"
|
||||
else:
|
||||
direction_label = "good" if pct > 0 else "bad" if pct < 0 else "neutral"
|
||||
return {"delta": f"{'+' if pct > 0 else ''}{pct:.1f}%", "direction": direction, "assessment": direction_label}
|
||||
|
||||
|
||||
# --- Output Formatters ---
|
||||
|
||||
def format_json(metrics):
|
||||
return json.dumps(metrics, indent=2)
|
||||
|
||||
|
||||
def format_markdown(metrics):
|
||||
lines = ["# Compounding Intelligence Metrics", f"**Generated:** {metrics.get('generated_at', 'unknown')}", ""]
|
||||
trend = metrics.get("trend_7d", {})
|
||||
|
||||
def metric_block(name, data, desc, good_direction="up"):
|
||||
val = data.get("value", 0)
|
||||
t = trend.get(name, {})
|
||||
delta = t.get("delta", "N/A")
|
||||
assessment = t.get("assessment", "unknown")
|
||||
arrow = "up" if assessment == "good" else "down" if assessment == "bad" else "---"
|
||||
lines.extend([f"## {name}", desc, "", f"**Value:** {val} | **7d trend:** {delta} {arrow} ({assessment})", ""])
|
||||
for k, v in data.items():
|
||||
if k != "value" and k != "interpretation":
|
||||
if isinstance(v, (int, float, str)):
|
||||
lines.append(f"- {k}: {v}")
|
||||
lines.append("")
|
||||
|
||||
metric_block("knowledge_velocity", metrics.get("knowledge_velocity", {}), "New facts extracted per day. Higher = compounding loop working.")
|
||||
metric_block("knowledge_coverage", metrics.get("knowledge_coverage", {}), "Percentage of domains/repos with 10+ facts. Measures breadth.")
|
||||
metric_block("hit_rate", metrics.get("hit_rate", {}), "Percentage of sessions referencing bootstrapped knowledge.")
|
||||
metric_block("error_recurrence", metrics.get("error_recurrence", {}), "Ratio of recurring errors. Lower = fleet learning from mistakes.", good_direction="down")
|
||||
metric_block("task_completion", metrics.get("task_completion", {}), "Percentage of sessions ending with successful completion.")
|
||||
metric_block("first_try_success", metrics.get("first_try_success", {}), "Percentage of sessions completed without backtracking.")
|
||||
metric_block("knowledge_age", metrics.get("knowledge_age", {}), "Freshness of knowledge store. 1.0 = all fresh, 0.0 = all stale.", good_direction="up")
|
||||
return "\n".join(lines)
|
||||
|
||||
|
||||
# --- Snapshot Persistence ---
|
||||
|
||||
def load_snapshot(metrics_dir):
|
||||
snapshot_path = metrics_dir / "latest_snapshot.json"
|
||||
if snapshot_path.exists():
|
||||
with open(snapshot_path) as f:
|
||||
return json.load(f)
|
||||
return {}
|
||||
|
||||
|
||||
def save_snapshot(metrics_dir, metrics):
|
||||
metrics_dir.mkdir(parents=True, exist_ok=True)
|
||||
snapshot_path = metrics_dir / "latest_snapshot.json"
|
||||
with open(snapshot_path, "w") as f:
|
||||
json.dump(metrics, f, indent=2)
|
||||
|
||||
|
||||
# --- Main ---
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description="Compounding Intelligence Metrics")
|
||||
parser.add_argument("--since", help="Start date (YYYY-MM-DD)")
|
||||
parser.add_argument("--repo", help="Filter by repo/domain")
|
||||
parser.add_argument("--format", choices=["json", "markdown"], default="json")
|
||||
parser.add_argument("--knowledge-dir", type=Path, default=DEFAULT_KNOWLEDGE_DIR)
|
||||
parser.add_argument("--db", type=Path, default=DEFAULT_DB_PATH)
|
||||
parser.add_argument("--save-snapshot", action="store_true", help="Save current metrics as snapshot for trend tracking")
|
||||
parser.add_argument("--metrics-dir", type=Path, default=Path(__file__).parent.parent / "metrics", help="Directory for snapshots and dashboard")
|
||||
args = parser.parse_args()
|
||||
|
||||
facts = load_facts(args.knowledge_dir)
|
||||
yaml_counts = count_yaml_facts(args.knowledge_dir)
|
||||
if args.repo:
|
||||
facts = [f for f in facts if f.get("domain") == args.repo]
|
||||
conn = open_db(args.db)
|
||||
sessions = query_sessions(conn, since=args.since)
|
||||
messages = query_messages(conn) if conn else []
|
||||
if conn:
|
||||
conn.close()
|
||||
|
||||
velocity = compute_knowledge_velocity(facts, since=args.since)
|
||||
coverage = compute_knowledge_coverage(facts, yaml_counts)
|
||||
hit_rate = compute_hit_rate(sessions, messages, facts)
|
||||
error_recurrence = compute_error_recurrence(messages)
|
||||
task_completion = compute_task_completion(sessions)
|
||||
first_try = compute_first_try_success(sessions)
|
||||
age = compute_knowledge_age(facts)
|
||||
|
||||
previous = load_snapshot(args.metrics_dir)
|
||||
trend = {
|
||||
"knowledge_velocity": compute_trend(velocity, previous.get("knowledge_velocity", {})),
|
||||
"knowledge_coverage": compute_trend(coverage, previous.get("knowledge_coverage", {})),
|
||||
"hit_rate": compute_trend(hit_rate, previous.get("hit_rate", {})),
|
||||
"error_recurrence": compute_trend(error_recurrence, previous.get("error_recurrence", {}), "value"),
|
||||
"task_completion": compute_trend(task_completion, previous.get("task_completion", {})),
|
||||
"first_try_success": compute_trend(first_try, previous.get("first_try_success", {})),
|
||||
"knowledge_age": compute_trend(age, previous.get("knowledge_age", {})),
|
||||
}
|
||||
|
||||
now = datetime.now(timezone.utc).isoformat()
|
||||
metrics = {
|
||||
"generated_at": now,
|
||||
"knowledge_velocity": velocity,
|
||||
"knowledge_coverage": coverage,
|
||||
"hit_rate": hit_rate,
|
||||
"error_recurrence": error_recurrence,
|
||||
"task_completion": task_completion,
|
||||
"first_try_success": first_try,
|
||||
"knowledge_age": age,
|
||||
"trend_7d": trend,
|
||||
}
|
||||
if args.since:
|
||||
metrics["since"] = args.since
|
||||
|
||||
if args.save_snapshot:
|
||||
save_snapshot(args.metrics_dir, metrics)
|
||||
dashboard_path = args.metrics_dir / "dashboard.md"
|
||||
with open(dashboard_path, "w") as f:
|
||||
f.write(format_markdown(metrics))
|
||||
|
||||
if args.format == "json":
|
||||
print(format_json(metrics))
|
||||
else:
|
||||
print(format_markdown(metrics))
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -1,682 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Priority Rebalancer — Re-evaluate issue priorities based on accumulated data.
|
||||
|
||||
Reads pipeline outputs, knowledge store, and Gitea issues to suggest
|
||||
priority changes based on what the fleet has learned.
|
||||
|
||||
Usage:
|
||||
python3 scripts/priority_rebalancer.py --org Timmy_Foundation
|
||||
python3 scripts/priority_rebalancer.py --org Timmy_Foundation --repo compounding-intelligence
|
||||
python3 scripts/priority_rebalancer.py --org Timmy_Foundation --dry-run
|
||||
python3 scripts/priority_rebalancer.py --org Timmy_Foundation --apply
|
||||
|
||||
Output:
|
||||
metrics/priority_report.json — full analysis
|
||||
metrics/priority_suggestions.md — human-readable suggestions
|
||||
"""
|
||||
|
||||
import argparse
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
from datetime import datetime, timezone, timedelta
|
||||
from pathlib import Path
|
||||
from typing import Dict, List, Any, Optional, Tuple
|
||||
from dataclasses import dataclass, field, asdict
|
||||
from collections import Counter, defaultdict
|
||||
import urllib.request
|
||||
import urllib.error
|
||||
|
||||
|
||||
# ============================================================
|
||||
# Data Models
|
||||
# ============================================================
|
||||
|
||||
@dataclass
|
||||
class IssueScore:
|
||||
issue_id: int
|
||||
repo: str
|
||||
title: str
|
||||
current_labels: List[str]
|
||||
current_priority: Optional[str]
|
||||
suggested_priority: Optional[str]
|
||||
score: float
|
||||
reasons: List[str]
|
||||
age_days: int
|
||||
comment_count: int
|
||||
assignee: Optional[str]
|
||||
dependencies: List[str] = field(default_factory=list)
|
||||
blocking: List[str] = field(default_factory=list)
|
||||
|
||||
|
||||
@dataclass
|
||||
class PipelineSignal:
|
||||
source: str # "knowledge", "metrics", "sessions", "staleness"
|
||||
signal_type: str # "stale_knowledge", "high_error_rate", "missing_coverage", etc.
|
||||
weight: float # 0.0 - 1.0
|
||||
detail: str
|
||||
affected_repos: List[str] = field(default_factory=list)
|
||||
affected_issues: List[int] = field(default_factory=list)
|
||||
|
||||
|
||||
# ============================================================
|
||||
# Gitea API Client
|
||||
# ============================================================
|
||||
|
||||
class GiteaClient:
|
||||
def __init__(self, base_url: str, token: str):
|
||||
self.base_url = base_url.rstrip("/")
|
||||
self.token = token
|
||||
|
||||
def _request(self, path: str, params: Dict = None) -> Any:
|
||||
url = f"{self.base_url}/api/v1{path}"
|
||||
if params:
|
||||
qs = "&".join(f"{k}={v}" for k, v in params.items() if v is not None)
|
||||
url += f"?{qs}"
|
||||
|
||||
req = urllib.request.Request(url)
|
||||
req.add_header("Authorization", f"token {self.token}")
|
||||
req.add_header("Content-Type", "application/json")
|
||||
|
||||
try:
|
||||
with urllib.request.urlopen(req, timeout=30) as resp:
|
||||
return json.loads(resp.read().decode())
|
||||
except urllib.error.HTTPError as e:
|
||||
print(f"API error {e.code} for {path}: {e.read().decode()[:200]}", file=sys.stderr)
|
||||
return None
|
||||
|
||||
def get_org_repos(self, org: str) -> List[Dict]:
|
||||
repos = []
|
||||
page = 1
|
||||
while True:
|
||||
batch = self._request(f"/orgs/{org}/repos", {"limit": 50, "page": page})
|
||||
if not batch:
|
||||
break
|
||||
repos.extend(batch)
|
||||
if len(batch) < 50:
|
||||
break
|
||||
page += 1
|
||||
return repos
|
||||
|
||||
def get_issues(self, org: str, repo: str, state: str = "open") -> List[Dict]:
|
||||
issues = []
|
||||
page = 1
|
||||
while True:
|
||||
batch = self._request(f"/repos/{org}/{repo}/issues",
|
||||
{"state": state, "limit": 50, "page": page, "type": "issues"})
|
||||
if not batch:
|
||||
break
|
||||
issues.extend(batch)
|
||||
if len(batch) < 50:
|
||||
break
|
||||
page += 1
|
||||
return issues
|
||||
|
||||
def add_label_to_issue(self, org: str, repo: str, issue_num: int, label_ids: List[int]) -> bool:
|
||||
url = f"{self.base_url}/api/v1/repos/{org}/{repo}/issues/{issue_num}/labels"
|
||||
data = json.dumps({"labels": label_ids}).encode()
|
||||
req = urllib.request.Request(url, data=data, method="POST")
|
||||
req.add_header("Authorization", f"token {self.token}")
|
||||
req.add_header("Content-Type", "application/json")
|
||||
try:
|
||||
with urllib.request.urlopen(req, timeout=15) as resp:
|
||||
return resp.status == 200
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
def remove_label_from_issue(self, org: str, repo: str, issue_num: int, label_id: int) -> bool:
|
||||
url = f"{self.base_url}/api/v1/repos/{org}/{repo}/issues/{issue_num}/labels/{label_id}"
|
||||
req = urllib.request.Request(url, method="DELETE")
|
||||
req.add_header("Authorization", f"token {self.token}")
|
||||
try:
|
||||
with urllib.request.urlopen(req, timeout=15) as resp:
|
||||
return resp.status == 200
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
def get_repo_labels(self, org: str, repo: str) -> List[Dict]:
|
||||
labels = []
|
||||
page = 1
|
||||
while True:
|
||||
batch = self._request(f"/repos/{org}/{repo}/labels", {"limit": 50, "page": page})
|
||||
if not batch:
|
||||
break
|
||||
labels.extend(batch)
|
||||
if len(batch) < 50:
|
||||
break
|
||||
page += 1
|
||||
return labels
|
||||
|
||||
def add_comment(self, org: str, repo: str, issue_num: int, body: str) -> bool:
|
||||
url = f"{self.base_url}/api/v1/repos/{org}/{repo}/issues/{issue_num}/comments"
|
||||
data = json.dumps({"body": body}).encode()
|
||||
req = urllib.request.Request(url, data=data, method="POST")
|
||||
req.add_header("Authorization", f"token {self.token}")
|
||||
req.add_header("Content-Type", "application/json")
|
||||
try:
|
||||
with urllib.request.urlopen(req, timeout=15) as resp:
|
||||
return resp.status == 201
|
||||
except Exception:
|
||||
return False
|
||||
|
||||
|
||||
# ============================================================
|
||||
# Pipeline Signal Collectors
|
||||
# ============================================================
|
||||
|
||||
def collect_knowledge_signals(knowledge_dir: str) -> List[PipelineSignal]:
|
||||
"""Analyze knowledge store for coverage gaps and staleness."""
|
||||
signals = []
|
||||
index_path = os.path.join(knowledge_dir, "index.json")
|
||||
|
||||
if not os.path.exists(index_path):
|
||||
signals.append(PipelineSignal(
|
||||
source="knowledge",
|
||||
signal_type="missing_index",
|
||||
weight=0.8,
|
||||
detail="knowledge/index.json not found — no knowledge base exists"
|
||||
))
|
||||
return signals
|
||||
|
||||
try:
|
||||
with open(index_path) as f:
|
||||
data = json.load(f)
|
||||
except (json.JSONDecodeError, IOError) as e:
|
||||
signals.append(PipelineSignal(
|
||||
source="knowledge",
|
||||
signal_type="corrupt_index",
|
||||
weight=0.9,
|
||||
detail=f"knowledge/index.json is corrupt: {e}"
|
||||
))
|
||||
return signals
|
||||
|
||||
facts = data.get("facts", [])
|
||||
total = len(facts)
|
||||
|
||||
if total == 0:
|
||||
signals.append(PipelineSignal(
|
||||
source="knowledge",
|
||||
signal_type="empty_knowledge",
|
||||
weight=0.7,
|
||||
detail="Knowledge store has 0 facts — harvester not running or not finding sessions"
|
||||
))
|
||||
return signals
|
||||
|
||||
# Check staleness
|
||||
stale_count = 0
|
||||
missing_source = 0
|
||||
for fact in facts:
|
||||
status = fact.get("status", "unknown")
|
||||
if status == "stale":
|
||||
stale_count += 1
|
||||
elif status in ("missing_source", "no_source"):
|
||||
missing_source += 1
|
||||
|
||||
if stale_count > 0:
|
||||
signals.append(PipelineSignal(
|
||||
source="knowledge",
|
||||
signal_type="stale_knowledge",
|
||||
weight=min(1.0, stale_count / max(1, total)),
|
||||
detail=f"{stale_count}/{total} facts are stale (source files changed)"
|
||||
))
|
||||
|
||||
if missing_source > 0:
|
||||
signals.append(PipelineSignal(
|
||||
source="knowledge",
|
||||
signal_type="missing_sources",
|
||||
weight=min(1.0, missing_source / max(1, total)),
|
||||
detail=f"{missing_source}/{total} facts have missing source files"
|
||||
))
|
||||
|
||||
# Coverage by repo
|
||||
repo_counts = Counter(f.get("repo", "unknown") for f in facts)
|
||||
if len(repo_counts) < 3:
|
||||
signals.append(PipelineSignal(
|
||||
source="knowledge",
|
||||
signal_type="low_coverage",
|
||||
weight=0.5,
|
||||
detail=f"Knowledge covers only {len(repo_counts)} repos — expand harvester scope",
|
||||
affected_repos=list(repo_counts.keys())
|
||||
))
|
||||
|
||||
return signals
|
||||
|
||||
|
||||
def collect_staleness_signals(scripts_dir: str, knowledge_dir: str) -> List[PipelineSignal]:
|
||||
"""Run staleness checker if available."""
|
||||
signals = []
|
||||
checker = os.path.join(scripts_dir, "knowledge_staleness_check.py")
|
||||
index_path = os.path.join(knowledge_dir, "index.json")
|
||||
|
||||
if not os.path.exists(checker) or not os.path.exists(index_path):
|
||||
return signals
|
||||
|
||||
try:
|
||||
import subprocess
|
||||
result = subprocess.run(
|
||||
["python3", checker, "--index", index_path, "--json"],
|
||||
capture_output=True, text=True, timeout=30
|
||||
)
|
||||
if result.returncode == 0:
|
||||
data = json.loads(result.stdout)
|
||||
stale = data.get("stale_count", 0)
|
||||
total = data.get("total", 0)
|
||||
if stale > 0:
|
||||
signals.append(PipelineSignal(
|
||||
source="staleness",
|
||||
signal_type="stale_knowledge",
|
||||
weight=min(1.0, stale / max(1, total)),
|
||||
detail=f"Staleness checker found {stale}/{total} stale entries"
|
||||
))
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
return signals
|
||||
|
||||
|
||||
def collect_metrics_signals(metrics_dir: str) -> List[PipelineSignal]:
|
||||
"""Analyze metrics directory for pipeline health."""
|
||||
signals = []
|
||||
|
||||
if not os.path.isdir(metrics_dir):
|
||||
return signals
|
||||
|
||||
files = os.listdir(metrics_dir)
|
||||
if len(files) <= 1: # Only .gitkeep
|
||||
signals.append(PipelineSignal(
|
||||
source="metrics",
|
||||
signal_type="no_metrics",
|
||||
weight=0.6,
|
||||
detail="Metrics directory is empty — measurer pipeline not producing output"
|
||||
))
|
||||
|
||||
return signals
|
||||
|
||||
|
||||
# ============================================================
|
||||
# Priority Scoring Engine
|
||||
# ============================================================
|
||||
|
||||
PRIORITY_LEVELS = ["P0", "P1", "P2", "P3", "none"]
|
||||
PRIORITY_LABELS = {"p0": "P0", "p1": "P1", "p2": "P2", "p3": "P3",
|
||||
"priority:critical": "P0", "priority:high": "P1",
|
||||
"priority:medium": "P2", "priority:low": "P3"}
|
||||
|
||||
|
||||
def extract_priority(labels: List[str]) -> Optional[str]:
|
||||
"""Extract priority level from issue labels."""
|
||||
for label in labels:
|
||||
lower = label.lower().strip()
|
||||
if lower in PRIORITY_LABELS:
|
||||
return PRIORITY_LABELS[lower]
|
||||
return None
|
||||
|
||||
|
||||
def compute_issue_score(
|
||||
issue: Dict,
|
||||
repo: str,
|
||||
signals: List[PipelineSignal],
|
||||
now: datetime
|
||||
) -> IssueScore:
|
||||
"""Compute priority score for a single issue."""
|
||||
|
||||
labels = [l.get("name", "") if isinstance(l, dict) else l for l in issue.get("labels", [])]
|
||||
title = issue.get("title", "")
|
||||
issue_id = issue.get("number", 0)
|
||||
current_priority = extract_priority(labels)
|
||||
|
||||
# Parse dates
|
||||
created_str = issue.get("created_at", "")
|
||||
try:
|
||||
created = datetime.fromisoformat(created_str.replace("Z", "+00:00"))
|
||||
age_days = (now - created.replace(tzinfo=None)).days
|
||||
except (ValueError, AttributeError):
|
||||
age_days = 0
|
||||
|
||||
comment_count = issue.get("comments", 0)
|
||||
assignee = None
|
||||
assignees = issue.get("assignees") or []
|
||||
if assignees:
|
||||
assignee = assignees[0].get("login") if isinstance(assignees[0], dict) else str(assignees[0])
|
||||
|
||||
# Base score
|
||||
score = 0.0
|
||||
reasons = []
|
||||
|
||||
# Age factor: older issues drift down unless actively discussed
|
||||
if age_days > 90 and comment_count < 2:
|
||||
score -= 15
|
||||
reasons.append(f"Dormant: {age_days} days old with only {comment_count} comments")
|
||||
elif age_days > 30:
|
||||
score -= 5
|
||||
reasons.append(f"Aging: {age_days} days old")
|
||||
|
||||
# Activity factor: recent discussion suggests urgency
|
||||
if comment_count > 5:
|
||||
score += 10
|
||||
reasons.append(f"Active discussion: {comment_count} comments")
|
||||
elif comment_count > 0:
|
||||
score += 3
|
||||
|
||||
# Assignment factor: unassigned issues need triage
|
||||
if not assignee:
|
||||
score += 5
|
||||
reasons.append("Unassigned — needs triage")
|
||||
|
||||
# Pipeline signal alignment
|
||||
for signal in signals:
|
||||
title_lower = title.lower()
|
||||
if signal.signal_type == "stale_knowledge" and "stale" in title_lower:
|
||||
score += signal.weight * 20
|
||||
reasons.append(f"Matches signal: {signal.detail}")
|
||||
elif signal.signal_type == "empty_knowledge" and ("harvester" in title_lower or "knowledge" in title_lower):
|
||||
score += signal.weight * 25
|
||||
reasons.append(f"Critical gap: {signal.detail}")
|
||||
elif signal.signal_type == "no_metrics" and "measur" in title_lower:
|
||||
score += signal.weight * 15
|
||||
reasons.append(f"Pipeline gap: {signal.detail}")
|
||||
elif signal.signal_type == "low_coverage" and any(r.lower() in title_lower for r in signal.affected_repos):
|
||||
score += signal.weight * 10
|
||||
reasons.append(f"Coverage gap: {signal.detail}")
|
||||
|
||||
# Keyword boosts
|
||||
keyword_scores = {
|
||||
"broken": 20, "bug": 15, "fix": 10, "error": 12, "fail": 15,
|
||||
"security": 25, "auth": 20, "data loss": 30, "crash": 25,
|
||||
"blocker": 20, "urgent": 15, "critical": 15,
|
||||
"epic": 8, "feature": -3, "nice to have": -10, "someday": -15
|
||||
}
|
||||
title_lower = title.lower()
|
||||
for keyword, boost in keyword_scores.items():
|
||||
if keyword in title_lower:
|
||||
score += boost
|
||||
if boost > 0:
|
||||
reasons.append(f"Keyword match: '{keyword}' (+{boost})")
|
||||
|
||||
# Label-based adjustments
|
||||
for label in labels:
|
||||
lower = label.lower()
|
||||
if lower == "pipeline":
|
||||
score += 5 # Pipeline issues are infrastructure
|
||||
elif lower == "bug":
|
||||
score += 12
|
||||
elif lower == "enhancement":
|
||||
score -= 2
|
||||
elif lower == "documentation":
|
||||
score -= 5
|
||||
elif "epic" in lower:
|
||||
score += 3
|
||||
|
||||
# Determine suggested priority
|
||||
if score >= 40:
|
||||
suggested = "P0"
|
||||
elif score >= 25:
|
||||
suggested = "P1"
|
||||
elif score >= 10:
|
||||
suggested = "P2"
|
||||
elif score >= 0:
|
||||
suggested = "P3"
|
||||
else:
|
||||
suggested = None # Consider closing or deprioritizing
|
||||
|
||||
return IssueScore(
|
||||
issue_id=issue_id,
|
||||
repo=repo,
|
||||
title=title,
|
||||
current_labels=labels,
|
||||
current_priority=current_priority,
|
||||
suggested_priority=suggested,
|
||||
score=round(score, 1),
|
||||
reasons=reasons if reasons else ["No strong signals"],
|
||||
age_days=age_days,
|
||||
comment_count=comment_count,
|
||||
assignee=assignee
|
||||
)
|
||||
|
||||
|
||||
# ============================================================
|
||||
# Report Generation
|
||||
# ============================================================
|
||||
|
||||
def generate_report(
|
||||
scores: List[IssueScore],
|
||||
signals: List[PipelineSignal],
|
||||
org: str,
|
||||
repos_scanned: List[str]
|
||||
) -> Dict[str, Any]:
|
||||
"""Generate the full priority report."""
|
||||
now = datetime.now(timezone.utc).isoformat()
|
||||
|
||||
# Categorize changes
|
||||
upgrades = [s for s in scores if s.suggested_priority and s.current_priority and
|
||||
PRIORITY_LEVELS.index(s.suggested_priority) < PRIORITY_LEVELS.index(s.current_priority)]
|
||||
downgrades = [s for s in scores if s.suggested_priority and s.current_priority and
|
||||
PRIORITY_LEVELS.index(s.suggested_priority) > PRIORITY_LEVELS.index(s.current_priority)]
|
||||
new_assignments = [s for s in scores if s.suggested_priority and not s.current_priority]
|
||||
no_change = [s for s in scores if s.suggested_priority == s.current_priority]
|
||||
|
||||
return {
|
||||
"generated_at": now,
|
||||
"org": org,
|
||||
"repos_scanned": repos_scanned,
|
||||
"total_issues": len(scores),
|
||||
"signals": [asdict(s) for s in signals],
|
||||
"summary": {
|
||||
"suggested_upgrades": len(upgrades),
|
||||
"suggested_downgrades": len(downgrades),
|
||||
"suggested_new_priorities": len(new_assignments),
|
||||
"unchanged": len(no_change)
|
||||
},
|
||||
"top_priority": [asdict(s) for s in sorted(scores, key=lambda x: x.score, reverse=True)[:10]],
|
||||
"upgrades": [asdict(s) for s in upgrades],
|
||||
"downgrades": [asdict(s) for s in downgrades],
|
||||
"new_assignments": [asdict(s) for s in new_assignments],
|
||||
"all_scores": [asdict(s) for s in sorted(scores, key=lambda x: x.score, reverse=True)]
|
||||
}
|
||||
|
||||
|
||||
def generate_markdown_report(report: Dict[str, Any]) -> str:
|
||||
"""Generate human-readable markdown report."""
|
||||
lines = []
|
||||
lines.append("# Priority Rebalancer Report")
|
||||
lines.append(f"**Generated:** {report['generated_at']}")
|
||||
lines.append(f"**Org:** {report['org']}")
|
||||
lines.append(f"**Repos scanned:** {', '.join(report['repos_scanned'])}")
|
||||
lines.append(f"**Issues analyzed:** {report['total_issues']}")
|
||||
lines.append("")
|
||||
|
||||
# Signals
|
||||
if report["signals"]:
|
||||
lines.append("## Pipeline Signals")
|
||||
for sig in report["signals"]:
|
||||
weight_bar = "█" * int(sig["weight"] * 10) + "░" * (10 - int(sig["weight"] * 10))
|
||||
lines.append(f"- [{weight_bar}] **{sig['source']}/{sig['signal_type']}** — {sig['detail']}")
|
||||
lines.append("")
|
||||
|
||||
# Summary
|
||||
s = report["summary"]
|
||||
lines.append("## Summary")
|
||||
lines.append(f"- Suggested upgrades: **{s['suggested_upgrades']}**")
|
||||
lines.append(f"- Suggested downgrades: **{s['suggested_downgrades']}**")
|
||||
lines.append(f"- New priority assignments: **{s['suggested_new_priorities']}**")
|
||||
lines.append(f"- Unchanged: **{s['unchanged']}**")
|
||||
lines.append("")
|
||||
|
||||
# Top 10
|
||||
lines.append("## Top 10 by Score")
|
||||
for i, item in enumerate(report["top_priority"][:10], 1):
|
||||
cur = item["current_priority"] or "none"
|
||||
sug = item["suggested_priority"] or "none"
|
||||
arrow = "↑" if PRIORITY_LEVELS.index(sug) < PRIORITY_LEVELS.index(cur) else "↓" if PRIORITY_LEVELS.index(sug) > PRIORITY_LEVELS.index(cur) else "→"
|
||||
lines.append(f"{i}. **[{item['repo']}#{item['issue_id']}]** {item['title']}")
|
||||
lines.append(f" Score: {item['score']} | Current: {cur} {arrow} Suggested: {sug}")
|
||||
lines.append(f" Reasons: {'; '.join(item['reasons'][:3])}")
|
||||
lines.append("")
|
||||
|
||||
# Upgrades
|
||||
if report["upgrades"]:
|
||||
lines.append("## Suggested Upgrades")
|
||||
for item in report["upgrades"]:
|
||||
lines.append(f"- **[{item['repo']}#{item['issue_id']}]** {item['title']}")
|
||||
lines.append(f" {item['current_priority']} → {item['suggested_priority']} (score: {item['score']})")
|
||||
lines.append(f" {'; '.join(item['reasons'][:2])}")
|
||||
lines.append("")
|
||||
|
||||
# Downgrades
|
||||
if report["downgrades"]:
|
||||
lines.append("## Suggested Downgrades")
|
||||
for item in report["downgrades"]:
|
||||
lines.append(f"- **[{item['repo']}#{item['issue_id']}]** {item['title']}")
|
||||
lines.append(f" {item['current_priority']} → {item['suggested_priority']} (score: {item['score']})")
|
||||
lines.append(f" {'; '.join(item['reasons'][:2])}")
|
||||
lines.append("")
|
||||
|
||||
# New assignments
|
||||
if report["new_assignments"]:
|
||||
lines.append("## New Priority Suggestions (currently unlabelled)")
|
||||
for item in report["new_assignments"][:20]:
|
||||
lines.append(f"- **[{item['repo']}#{item['issue_id']}]** {item['title']}")
|
||||
lines.append(f" Suggested: {item['suggested_priority']} (score: {item['score']})")
|
||||
lines.append(f" {'; '.join(item['reasons'][:2])}")
|
||||
lines.append("")
|
||||
|
||||
return "\n".join(lines)
|
||||
|
||||
|
||||
# ============================================================
|
||||
# Main
|
||||
# ============================================================
|
||||
|
||||
def main():
|
||||
parser = argparse.ArgumentParser(description="Priority Rebalancer — re-score issues based on pipeline data")
|
||||
parser.add_argument("--org", default="Timmy_Foundation", help="Gitea org name")
|
||||
parser.add_argument("--repo", help="Single repo to analyze (default: all)")
|
||||
parser.add_argument("--base-url", default="https://forge.alexanderwhitestone.com", help="Gitea base URL")
|
||||
parser.add_argument("--knowledge-dir", default=None, help="Path to knowledge directory")
|
||||
parser.add_argument("--metrics-dir", default=None, help="Path to metrics directory")
|
||||
parser.add_argument("--scripts-dir", default=None, help="Path to scripts directory")
|
||||
parser.add_argument("--output-dir", default=None, help="Path to output directory")
|
||||
parser.add_argument("--dry-run", action="store_true", help="Show what would change without applying")
|
||||
parser.add_argument("--apply", action="store_true", help="Apply priority changes via API")
|
||||
parser.add_argument("--json", action="store_true", help="Output JSON instead of markdown")
|
||||
|
||||
args = parser.parse_args()
|
||||
|
||||
# Resolve paths relative to script location
|
||||
script_dir = Path(__file__).parent
|
||||
repo_root = script_dir.parent
|
||||
|
||||
knowledge_dir = args.knowledge_dir or str(repo_root / "knowledge")
|
||||
metrics_dir = args.metrics_dir or str(repo_root / "metrics")
|
||||
scripts_dir = args.scripts_dir or str(repo_root / "scripts")
|
||||
output_dir = args.output_dir or str(repo_root / "metrics")
|
||||
|
||||
# Get token
|
||||
token = os.environ.get("GITEA_TOKEN")
|
||||
if not token:
|
||||
token_path = os.path.expanduser("~/.config/gitea/token")
|
||||
if os.path.exists(token_path):
|
||||
with open(token_path) as f:
|
||||
token = f.read().strip()
|
||||
|
||||
if not token:
|
||||
print("Error: No Gitea token found. Set GITEA_TOKEN or create ~/.config/gitea/token", file=sys.stderr)
|
||||
sys.exit(1)
|
||||
|
||||
client = GiteaClient(args.base_url, token)
|
||||
now = datetime.utcnow()
|
||||
|
||||
# Collect pipeline signals
|
||||
print("Collecting pipeline signals...", file=sys.stderr)
|
||||
signals = []
|
||||
signals.extend(collect_knowledge_signals(knowledge_dir))
|
||||
signals.extend(collect_staleness_signals(scripts_dir, knowledge_dir))
|
||||
signals.extend(collect_metrics_signals(metrics_dir))
|
||||
print(f" Found {len(signals)} signals", file=sys.stderr)
|
||||
|
||||
# Get repos
|
||||
if args.repo:
|
||||
repos = [{"name": args.repo}]
|
||||
else:
|
||||
repos = client.get_org_repos(args.org)
|
||||
|
||||
repo_names = [r["name"] for r in repos]
|
||||
print(f"Scanning {len(repo_names)} repos: {', '.join(repo_names[:5])}{'...' if len(repo_names) > 5 else ''}", file=sys.stderr)
|
||||
|
||||
# Score all issues
|
||||
all_scores = []
|
||||
for repo in repos:
|
||||
repo_name = repo["name"]
|
||||
issues = client.get_issues(args.org, repo_name)
|
||||
print(f" {repo_name}: {len(issues)} open issues", file=sys.stderr)
|
||||
|
||||
for issue in issues:
|
||||
if issue.get("pull_request"):
|
||||
continue
|
||||
score = compute_issue_score(issue, repo_name, signals, now)
|
||||
all_scores.append(score)
|
||||
|
||||
# Generate report
|
||||
report = generate_report(all_scores, signals, args.org, repo_names)
|
||||
|
||||
# Output
|
||||
os.makedirs(output_dir, exist_ok=True)
|
||||
|
||||
if args.json:
|
||||
print(json.dumps(report, indent=2))
|
||||
else:
|
||||
md = generate_markdown_report(report)
|
||||
print(md)
|
||||
|
||||
# Write files
|
||||
report_path = os.path.join(output_dir, "priority_report.json")
|
||||
with open(report_path, "w") as f:
|
||||
json.dump(report, f, indent=2)
|
||||
print(f"\nFull report: {report_path}", file=sys.stderr)
|
||||
|
||||
md_path = os.path.join(output_dir, "priority_suggestions.md")
|
||||
with open(md_path, "w") as f:
|
||||
f.write(generate_markdown_report(report))
|
||||
print(f"Suggestions: {md_path}", file=sys.stderr)
|
||||
|
||||
# Apply changes if requested
|
||||
if args.apply:
|
||||
print("\nApplying priority changes...", file=sys.stderr)
|
||||
applied = 0
|
||||
|
||||
# Get label IDs for priority labels
|
||||
priority_label_map = {}
|
||||
for repo_name in repo_names:
|
||||
labels = client.get_repo_labels(args.org, repo_name)
|
||||
for label in labels:
|
||||
name = label.get("name", "").lower()
|
||||
if name in ("p0", "p1", "p2", "p3"):
|
||||
priority_label_map[(repo_name, name)] = label["id"]
|
||||
|
||||
for score in all_scores:
|
||||
if score.suggested_priority and score.suggested_priority != score.current_priority:
|
||||
sug_lower = score.suggested_priority.lower()
|
||||
label_id = priority_label_map.get((score.repo, sug_lower))
|
||||
if label_id:
|
||||
ok = client.add_label_to_issue(args.org, score.repo, score.issue_id, [label_id])
|
||||
if ok:
|
||||
applied += 1
|
||||
print(f" Applied: [{score.repo}#{score.issue_id}] → {score.suggested_priority}", file=sys.stderr)
|
||||
|
||||
# Add comment explaining the change
|
||||
comment = f"**Priority Rebalancer** suggested: **{score.suggested_priority}** (was: {score.current_priority or 'none'})\n\n"
|
||||
comment += f"Score: {score.score}\n"
|
||||
comment += f"Reasons:\n"
|
||||
for r in score.reasons[:5]:
|
||||
comment += f"- {r}\n"
|
||||
client.add_comment(args.org, score.repo, score.issue_id, comment)
|
||||
|
||||
print(f"Applied {applied} priority changes", file=sys.stderr)
|
||||
|
||||
elif args.dry_run:
|
||||
print(f"\nDry run — {report['summary']['suggested_upgrades'] + report['summary']['suggested_downgrades'] + report['summary']['suggested_new_priorities']} changes would be applied", file=sys.stderr)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -1,212 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Comprehensive test script for knowledge extraction prompt.
|
||||
Validates prompt structure, requirements, and consistency.
|
||||
"""
|
||||
|
||||
import json
|
||||
import re
|
||||
from pathlib import Path
|
||||
|
||||
def test_prompt_structure():
|
||||
"""Test that the prompt has the required structure."""
|
||||
prompt_path = Path("templates/harvest-prompt.md")
|
||||
if not prompt_path.exists():
|
||||
return False, "harvest-prompt.md not found"
|
||||
|
||||
content = prompt_path.read_text()
|
||||
|
||||
# Check for required sections
|
||||
required_sections = [
|
||||
"System Prompt",
|
||||
"Instructions",
|
||||
"Categories",
|
||||
"Output Format",
|
||||
"Confidence Scoring",
|
||||
"Constraints",
|
||||
"Example"
|
||||
]
|
||||
|
||||
for section in required_sections:
|
||||
if section.lower() not in content.lower():
|
||||
return False, f"Missing required section: {section}"
|
||||
|
||||
# Check for required categories
|
||||
required_categories = ["fact", "pitfall", "pattern", "tool-quirk", "question"]
|
||||
for category in required_categories:
|
||||
if category not in content:
|
||||
return False, f"Missing required category: {category}"
|
||||
|
||||
# Check for required output fields
|
||||
required_fields = ["fact", "category", "repo", "confidence"]
|
||||
for field in required_fields:
|
||||
if field not in content:
|
||||
return False, f"Missing required output field: {field}"
|
||||
|
||||
# Check prompt size (should be ~1k tokens, roughly 4k chars)
|
||||
if len(content) > 5000:
|
||||
return False, f"Prompt too large: {len(content)} chars (max ~5000)"
|
||||
|
||||
if len(content) < 1000:
|
||||
return False, f"Prompt too small: {len(content)} chars (min ~1000)"
|
||||
|
||||
return True, "Prompt structure is valid"
|
||||
|
||||
def test_confidence_scoring():
|
||||
"""Test that confidence scoring is properly defined."""
|
||||
prompt_path = Path("templates/harvest-prompt.md")
|
||||
content = prompt_path.read_text()
|
||||
|
||||
# Check for confidence scale definitions
|
||||
confidence_levels = [
|
||||
("0.9-1.0", "explicitly stated"),
|
||||
("0.7-0.8", "clearly implied"),
|
||||
("0.5-0.6", "suggested"),
|
||||
("0.3-0.4", "inferred"),
|
||||
("0.1-0.2", "speculative")
|
||||
]
|
||||
|
||||
for level, description in confidence_levels:
|
||||
if level not in content:
|
||||
return False, f"Missing confidence level: {level}"
|
||||
if description.lower() not in content.lower():
|
||||
return False, f"Missing confidence description: {description}"
|
||||
|
||||
return True, "Confidence scoring is properly defined"
|
||||
|
||||
def test_example_quality():
|
||||
"""Test that examples are clear and complete."""
|
||||
prompt_path = Path("templates/harvest-prompt.md")
|
||||
content = prompt_path.read_text()
|
||||
|
||||
# Check for example input/output
|
||||
if "example" not in content.lower():
|
||||
return False, "No examples provided"
|
||||
|
||||
# Check that example includes all categories
|
||||
example_section = content[content.lower().find("example"):]
|
||||
|
||||
# Look for JSON example
|
||||
json_match = re.search(r'\{[\s\S]*"knowledge"[\s\S]*\}', example_section)
|
||||
if not json_match:
|
||||
return False, "No JSON example found"
|
||||
|
||||
example_json = json_match.group(0)
|
||||
|
||||
# Check for all categories in example
|
||||
for category in ["fact", "pitfall", "pattern", "tool-quirk", "question"]:
|
||||
if category not in example_json:
|
||||
return False, f"Example missing category: {category}"
|
||||
|
||||
return True, "Examples are clear and complete"
|
||||
|
||||
def test_constraint_coverage():
|
||||
"""Test that constraints cover all requirements."""
|
||||
prompt_path = Path("templates/harvest-prompt.md")
|
||||
content = prompt_path.read_text()
|
||||
|
||||
required_constraints = [
|
||||
"No hallucination",
|
||||
"only extract",
|
||||
"explicitly",
|
||||
"partial",
|
||||
"failed sessions",
|
||||
"1k tokens"
|
||||
]
|
||||
|
||||
for constraint in required_constraints:
|
||||
if constraint.lower() not in content.lower():
|
||||
return False, f"Missing constraint: {constraint}"
|
||||
|
||||
return True, "Constraints cover all requirements"
|
||||
|
||||
def test_test_sessions():
|
||||
"""Test that test sessions exist and are valid."""
|
||||
test_sessions_dir = Path("test_sessions")
|
||||
if not test_sessions_dir.exists():
|
||||
return False, "test_sessions directory not found"
|
||||
|
||||
session_files = list(test_sessions_dir.glob("*.jsonl"))
|
||||
if len(session_files) < 5:
|
||||
return False, f"Only {len(session_files)} test sessions found, need 5"
|
||||
|
||||
# Check each session file
|
||||
for session_file in session_files:
|
||||
content = session_file.read_text()
|
||||
lines = content.strip().split("\n")
|
||||
|
||||
# Check that each line is valid JSON
|
||||
for i, line in enumerate(lines, 1):
|
||||
try:
|
||||
json.loads(line)
|
||||
except json.JSONDecodeError as e:
|
||||
return False, f"Invalid JSON in {session_file.name}, line {i}: {e}"
|
||||
|
||||
return True, f"Found {len(session_files)} valid test sessions"
|
||||
|
||||
def run_all_tests():
|
||||
"""Run all tests and return results."""
|
||||
tests = [
|
||||
("Prompt Structure", test_prompt_structure),
|
||||
("Confidence Scoring", test_confidence_scoring),
|
||||
("Example Quality", test_example_quality),
|
||||
("Constraint Coverage", test_constraint_coverage),
|
||||
("Test Sessions", test_test_sessions)
|
||||
]
|
||||
|
||||
results = []
|
||||
all_passed = True
|
||||
|
||||
for test_name, test_func in tests:
|
||||
try:
|
||||
passed, message = test_func()
|
||||
results.append({
|
||||
"test": test_name,
|
||||
"passed": passed,
|
||||
"message": message
|
||||
})
|
||||
if not passed:
|
||||
all_passed = False
|
||||
except Exception as e:
|
||||
results.append({
|
||||
"test": test_name,
|
||||
"passed": False,
|
||||
"message": f"Error: {str(e)}"
|
||||
})
|
||||
all_passed = False
|
||||
|
||||
# Print results
|
||||
print("=" * 60)
|
||||
print("HARVEST PROMPT TEST RESULTS")
|
||||
print("=" * 60)
|
||||
|
||||
for result in results:
|
||||
status = "✓ PASS" if result["passed"] else "✗ FAIL"
|
||||
print(f"{status}: {result['test']}")
|
||||
print(f" {result['message']}")
|
||||
print()
|
||||
|
||||
print("=" * 60)
|
||||
if all_passed:
|
||||
print("ALL TESTS PASSED!")
|
||||
else:
|
||||
print("SOME TESTS FAILED!")
|
||||
print("=" * 60)
|
||||
|
||||
return all_passed, results
|
||||
|
||||
if __name__ == "__main__":
|
||||
all_passed, results = run_all_tests()
|
||||
|
||||
# Save results to file
|
||||
with open("test_results.json", "w") as f:
|
||||
json.dump({
|
||||
"all_passed": all_passed,
|
||||
"results": results,
|
||||
"timestamp": "2026-04-14T19:05:00Z"
|
||||
}, f, indent=2)
|
||||
|
||||
print(f"Results saved to test_results.json")
|
||||
|
||||
# Exit with appropriate code
|
||||
exit(0 if all_passed else 1)
|
||||
@@ -1,129 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Tests for scripts/knowledge_staleness_check.py — 8 tests."""
|
||||
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
import tempfile
|
||||
|
||||
sys.path.insert(0, os.path.dirname(__file__) or ".")
|
||||
import importlib.util
|
||||
spec = importlib.util.spec_from_file_location("ks", os.path.join(os.path.dirname(__file__) or ".", "knowledge_staleness_check.py"))
|
||||
mod = importlib.util.module_from_spec(spec)
|
||||
spec.loader.exec_module(mod)
|
||||
check_staleness = mod.check_staleness
|
||||
fix_hashes = mod.fix_hashes
|
||||
compute_file_hash = mod.compute_file_hash
|
||||
|
||||
|
||||
def test_fresh_entry():
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
src = os.path.join(tmpdir, "source.py")
|
||||
with open(src, "w") as f:
|
||||
f.write("print('hello')")
|
||||
h = compute_file_hash(src)
|
||||
idx = os.path.join(tmpdir, "index.json")
|
||||
with open(idx, "w") as f:
|
||||
json.dump({"facts": [{"fact": "hello", "source_file": "source.py", "source_hash": h}]}, f)
|
||||
results = check_staleness(idx, tmpdir)
|
||||
assert results[0]["status"] == "fresh"
|
||||
print("PASS: test_fresh_entry")
|
||||
|
||||
|
||||
def test_stale_entry():
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
src = os.path.join(tmpdir, "source.py")
|
||||
with open(src, "w") as f:
|
||||
f.write("original content")
|
||||
idx = os.path.join(tmpdir, "index.json")
|
||||
with open(idx, "w") as f:
|
||||
json.dump({"facts": [{"fact": "old", "source_file": "source.py", "source_hash": "sha256:wrong"}]}, f)
|
||||
# Now change the source
|
||||
with open(src, "w") as f:
|
||||
f.write("modified content")
|
||||
results = check_staleness(idx, tmpdir)
|
||||
assert results[0]["status"] == "stale"
|
||||
print("PASS: test_stale_entry")
|
||||
|
||||
|
||||
def test_missing_source():
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
idx = os.path.join(tmpdir, "index.json")
|
||||
with open(idx, "w") as f:
|
||||
json.dump({"facts": [{"fact": "gone", "source_file": "nonexistent.py", "source_hash": "sha256:abc"}]}, f)
|
||||
results = check_staleness(idx, tmpdir)
|
||||
assert results[0]["status"] == "missing_source"
|
||||
print("PASS: test_missing_source")
|
||||
|
||||
|
||||
def test_no_hash():
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
src = os.path.join(tmpdir, "source.py")
|
||||
with open(src, "w") as f:
|
||||
f.write("content")
|
||||
idx = os.path.join(tmpdir, "index.json")
|
||||
with open(idx, "w") as f:
|
||||
json.dump({"facts": [{"fact": "no hash", "source_file": "source.py"}]}, f)
|
||||
results = check_staleness(idx, tmpdir)
|
||||
assert results[0]["status"] == "no_hash"
|
||||
assert results[0]["current_hash"].startswith("sha256:")
|
||||
print("PASS: test_no_hash")
|
||||
|
||||
|
||||
def test_no_source_field():
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
idx = os.path.join(tmpdir, "index.json")
|
||||
with open(idx, "w") as f:
|
||||
json.dump({"facts": [{"fact": "orphan"}]}, f)
|
||||
results = check_staleness(idx, tmpdir)
|
||||
assert results[0]["status"] == "no_source"
|
||||
print("PASS: test_no_source_field")
|
||||
|
||||
|
||||
def test_fix_hashes():
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
src = os.path.join(tmpdir, "source.py")
|
||||
with open(src, "w") as f:
|
||||
f.write("content for hashing")
|
||||
idx = os.path.join(tmpdir, "index.json")
|
||||
with open(idx, "w") as f:
|
||||
json.dump({"facts": [{"fact": "needs hash", "source_file": "source.py"}]}, f)
|
||||
fixed = fix_hashes(idx, tmpdir)
|
||||
assert fixed == 1
|
||||
# Verify hash was added
|
||||
with open(idx) as f:
|
||||
data = json.load(f)
|
||||
assert data["facts"][0]["source_hash"].startswith("sha256:")
|
||||
print("PASS: test_fix_hashes")
|
||||
|
||||
|
||||
def test_empty_index():
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
idx = os.path.join(tmpdir, "index.json")
|
||||
with open(idx, "w") as f:
|
||||
json.dump({"facts": []}, f)
|
||||
results = check_staleness(idx, tmpdir)
|
||||
assert results == []
|
||||
print("PASS: test_empty_index")
|
||||
|
||||
|
||||
def test_compute_hash_nonexistent():
|
||||
h = compute_file_hash("/nonexistent/path/file.py")
|
||||
assert h is None
|
||||
print("PASS: test_compute_hash_nonexistent")
|
||||
|
||||
|
||||
def run_all():
|
||||
test_fresh_entry()
|
||||
test_stale_entry()
|
||||
test_missing_source()
|
||||
test_no_hash()
|
||||
test_no_source_field()
|
||||
test_fix_hashes()
|
||||
test_empty_index()
|
||||
test_compute_hash_nonexistent()
|
||||
print("\nAll 8 tests passed!")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
run_all()
|
||||
@@ -1,305 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Tests for Priority Rebalancer
|
||||
"""
|
||||
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
import tempfile
|
||||
from datetime import datetime, timedelta
|
||||
from pathlib import Path
|
||||
|
||||
# Add script dir to path
|
||||
sys.path.insert(0, str(Path(__file__).parent))
|
||||
|
||||
from priority_rebalancer import (
|
||||
GiteaClient,
|
||||
IssueScore,
|
||||
PipelineSignal,
|
||||
compute_issue_score,
|
||||
collect_knowledge_signals,
|
||||
collect_metrics_signals,
|
||||
extract_priority,
|
||||
generate_report,
|
||||
generate_markdown_report,
|
||||
PRIORITY_LEVELS,
|
||||
)
|
||||
|
||||
# ============================================================
|
||||
# Test Helpers
|
||||
# ============================================================
|
||||
|
||||
PASS = 0
|
||||
FAIL = 0
|
||||
|
||||
def test(name):
|
||||
def decorator(fn):
|
||||
global PASS, FAIL
|
||||
try:
|
||||
fn()
|
||||
PASS += 1
|
||||
print(f" [PASS] {name}")
|
||||
except Exception as e:
|
||||
FAIL += 1
|
||||
print(f" [FAIL] {name}: {e}")
|
||||
return decorator
|
||||
|
||||
def assert_eq(a, b, msg=""):
|
||||
if a != b:
|
||||
raise AssertionError(f"{msg} expected {b!r}, got {a!r}")
|
||||
|
||||
def assert_true(v, msg=""):
|
||||
if not v:
|
||||
raise AssertionError(msg or "Expected True")
|
||||
|
||||
def assert_false(v, msg=""):
|
||||
if v:
|
||||
raise AssertionError(msg or "Expected False")
|
||||
|
||||
|
||||
# ============================================================
|
||||
# Priority Extraction Tests
|
||||
# ============================================================
|
||||
|
||||
print("=== Priority Rebalancer Tests ===\n")
|
||||
|
||||
print("-- Priority Extraction --")
|
||||
|
||||
@test("extract P0 from label")
|
||||
def _():
|
||||
assert_eq(extract_priority(["P0", "bug"]), "P0")
|
||||
|
||||
@test("extract P1 from priority:high")
|
||||
def _():
|
||||
assert_eq(extract_priority(["priority:high"]), "P1")
|
||||
|
||||
@test("extract P2 from priority:medium")
|
||||
def _():
|
||||
assert_eq(extract_priority(["priority:medium"]), "P2")
|
||||
|
||||
@test("extract P3 from priority:low")
|
||||
def _():
|
||||
assert_eq(extract_priority(["priority:low"]), "P3")
|
||||
|
||||
@test("returns None for no priority")
|
||||
def _():
|
||||
assert_eq(extract_priority(["bug", "enhancement"]), None)
|
||||
|
||||
@test("case insensitive")
|
||||
def _():
|
||||
assert_eq(extract_priority(["p1"]), "P1")
|
||||
assert_eq(extract_priority(["PRIORITY:CRITICAL"]), "P0")
|
||||
|
||||
|
||||
# ============================================================
|
||||
# Issue Scoring Tests
|
||||
# ============================================================
|
||||
|
||||
print("\n-- Issue Scoring --")
|
||||
|
||||
def make_issue(**kwargs):
|
||||
defaults = {
|
||||
"number": 1,
|
||||
"title": "Test issue",
|
||||
"labels": [],
|
||||
"created_at": (datetime.utcnow() - timedelta(days=5)).isoformat() + "Z",
|
||||
"comments": 0,
|
||||
"assignees": None,
|
||||
}
|
||||
defaults.update(kwargs)
|
||||
return defaults
|
||||
|
||||
@test("bug gets score boost")
|
||||
def _():
|
||||
issue = make_issue(title="Incorrect output format", labels=["bug"])
|
||||
score = compute_issue_score(issue, "test-repo", [], datetime.utcnow())
|
||||
assert_true(score.score > 0, f"Bug should boost score, got {score.score}")
|
||||
# Bug label alone should be P2 or P3 (not P0)
|
||||
assert_true(score.suggested_priority in ("P2", "P3"),
|
||||
f"Bug label alone should be P2/P3, got {score.suggested_priority}")
|
||||
|
||||
@test("security gets high score")
|
||||
def _():
|
||||
issue = make_issue(title="Security: auth bypass", labels=["bug"])
|
||||
score = compute_issue_score(issue, "test-repo", [], datetime.utcnow())
|
||||
assert_true(score.score >= 25, f"Security should score high, got {score.score}")
|
||||
|
||||
@test("old dormant issue gets penalized")
|
||||
def _():
|
||||
issue = make_issue(
|
||||
title="Some old feature",
|
||||
created_at=(datetime.utcnow() - timedelta(days=120)).isoformat() + "Z",
|
||||
comments=0
|
||||
)
|
||||
score = compute_issue_score(issue, "test-repo", [], datetime.utcnow())
|
||||
assert_true(score.score < 0, f"Old dormant should be negative, got {score.score}")
|
||||
assert_true(any("Dormant" in r for r in score.reasons), "Should mention dormancy")
|
||||
|
||||
@test("active discussion boosts score")
|
||||
def _():
|
||||
issue = make_issue(title="Important fix", comments=8)
|
||||
score = compute_issue_score(issue, "test-repo", [], datetime.utcnow())
|
||||
assert_true(score.score > 5, f"Active discussion should boost, got {score.score}")
|
||||
assert_true(any("Active" in r for r in score.reasons))
|
||||
|
||||
@test("unassigned gets slight boost")
|
||||
def _():
|
||||
issue = make_issue(title="Fix bug", assignees=None)
|
||||
score = compute_issue_score(issue, "test-repo", [], datetime.utcnow())
|
||||
assert_true(any("Unassigned" in r for r in score.reasons))
|
||||
|
||||
@test("assigned issue notes assignee")
|
||||
def _():
|
||||
issue = make_issue(title="Fix bug", assignees=[{"login": "alice"}])
|
||||
score = compute_issue_score(issue, "test-repo", [], datetime.utcnow())
|
||||
assert_eq(score.assignee, "alice")
|
||||
|
||||
@test("nice-to-have gets penalized")
|
||||
def _():
|
||||
issue = make_issue(title="Nice to have: fancy animation")
|
||||
score = compute_issue_score(issue, "test-repo", [], datetime.utcnow())
|
||||
assert_true(score.score < 0, f"Nice-to-have should be negative, got {score.score}")
|
||||
|
||||
|
||||
# ============================================================
|
||||
# Pipeline Signal Tests
|
||||
# ============================================================
|
||||
|
||||
print("\n-- Pipeline Signals --")
|
||||
|
||||
@test("signal alignment boosts matching issues")
|
||||
def _():
|
||||
signals = [PipelineSignal(
|
||||
source="knowledge",
|
||||
signal_type="stale_knowledge",
|
||||
weight=0.8,
|
||||
detail="20 stale facts"
|
||||
)]
|
||||
issue = make_issue(title="Fix stale knowledge entries")
|
||||
score = compute_issue_score(issue, "test-repo", signals, datetime.utcnow())
|
||||
assert_true(any("Matches signal" in r for r in score.reasons))
|
||||
|
||||
@test("empty knowledge boosts harvester issues")
|
||||
def _():
|
||||
signals = [PipelineSignal(
|
||||
source="knowledge",
|
||||
signal_type="empty_knowledge",
|
||||
weight=0.7,
|
||||
detail="0 facts"
|
||||
)]
|
||||
issue = make_issue(title="Implement harvester pipeline")
|
||||
score = compute_issue_score(issue, "test-repo", signals, datetime.utcnow())
|
||||
assert_true(any("Critical gap" in r for r in score.reasons))
|
||||
|
||||
|
||||
# ============================================================
|
||||
# Knowledge Signal Collection Tests
|
||||
# ============================================================
|
||||
|
||||
print("\n-- Knowledge Signal Collection --")
|
||||
|
||||
@test("missing index generates signal")
|
||||
def _():
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
signals = collect_knowledge_signals(tmpdir)
|
||||
assert_true(len(signals) > 0)
|
||||
assert_eq(signals[0].signal_type, "missing_index")
|
||||
|
||||
@test("empty knowledge generates signal")
|
||||
def _():
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
idx = os.path.join(tmpdir, "index.json")
|
||||
with open(idx, "w") as f:
|
||||
json.dump({"facts": []}, f)
|
||||
signals = collect_knowledge_signals(tmpdir)
|
||||
assert_true(any(s.signal_type == "empty_knowledge" for s in signals))
|
||||
|
||||
@test("corrupt index generates signal")
|
||||
def _():
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
idx = os.path.join(tmpdir, "index.json")
|
||||
with open(idx, "w") as f:
|
||||
f.write("not json {{{")
|
||||
signals = collect_knowledge_signals(tmpdir)
|
||||
assert_true(any(s.signal_type == "corrupt_index" for s in signals))
|
||||
|
||||
@test("knowledge with facts passes")
|
||||
def _():
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
idx = os.path.join(tmpdir, "index.json")
|
||||
with open(idx, "w") as f:
|
||||
json.dump({"facts": [
|
||||
{"id": 1, "repo": "test", "status": "fresh"},
|
||||
{"id": 2, "repo": "test", "status": "fresh"},
|
||||
]}, f)
|
||||
signals = collect_knowledge_signals(tmpdir)
|
||||
# Should not generate missing_index or empty_knowledge
|
||||
assert_false(any(s.signal_type in ("missing_index", "empty_knowledge") for s in signals))
|
||||
|
||||
|
||||
# ============================================================
|
||||
# Metrics Signal Collection Tests
|
||||
# ============================================================
|
||||
|
||||
print("\n-- Metrics Signal Collection --")
|
||||
|
||||
@test("empty metrics dir generates signal")
|
||||
def _():
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
signals = collect_metrics_signals(tmpdir)
|
||||
assert_true(any(s.signal_type == "no_metrics" for s in signals))
|
||||
|
||||
@test("metrics with files passes")
|
||||
def _():
|
||||
with tempfile.TemporaryDirectory() as tmpdir:
|
||||
# Create files (simulating real metrics dir with .gitkeep + actual files)
|
||||
with open(os.path.join(tmpdir, ".gitkeep"), "w") as f:
|
||||
f.write("")
|
||||
with open(os.path.join(tmpdir, "report.json"), "w") as f:
|
||||
f.write("{}")
|
||||
signals = collect_metrics_signals(tmpdir)
|
||||
assert_false(any(s.signal_type == "no_metrics" for s in signals))
|
||||
|
||||
|
||||
# ============================================================
|
||||
# Report Generation Tests
|
||||
# ============================================================
|
||||
|
||||
print("\n-- Report Generation --")
|
||||
|
||||
@test("report has correct structure")
|
||||
def _():
|
||||
scores = [
|
||||
IssueScore(1, "repo1", "Bug fix", ["bug"], None, "P1", 30.0, ["test"], 5, 3, None),
|
||||
IssueScore(2, "repo1", "Feature", ["enhancement"], "P3", None, -5.0, ["test"], 60, 0, "alice"),
|
||||
]
|
||||
signals = [PipelineSignal("knowledge", "stale_knowledge", 0.5, "10 stale")]
|
||||
report = generate_report(scores, signals, "test-org", ["repo1"])
|
||||
|
||||
assert_eq(report["org"], "test-org")
|
||||
assert_eq(report["total_issues"], 2)
|
||||
assert_true("generated_at" in report)
|
||||
assert_true("summary" in report)
|
||||
assert_true("top_priority" in report)
|
||||
assert_eq(report["summary"]["suggested_new_priorities"], 1)
|
||||
|
||||
@test("markdown report is non-empty")
|
||||
def _():
|
||||
scores = [IssueScore(1, "repo1", "Test", ["bug"], None, "P2", 15.0, ["reason"], 5, 0, None)]
|
||||
report = generate_report(scores, [], "test-org", ["repo1"])
|
||||
md = generate_markdown_report(report)
|
||||
assert_true(len(md) > 100)
|
||||
assert_true("Priority Rebalancer Report" in md)
|
||||
assert_true("Top 10" in md)
|
||||
|
||||
|
||||
# ============================================================
|
||||
# Summary
|
||||
# ============================================================
|
||||
|
||||
print(f"\n=== Summary ===")
|
||||
print(f"Total: {PASS + FAIL} | Passed: {PASS} | Failed: {FAIL}")
|
||||
|
||||
if FAIL > 0:
|
||||
sys.exit(1)
|
||||
80
scripts/validate_knowledge.py
Normal file
80
scripts/validate_knowledge.py
Normal file
@@ -0,0 +1,80 @@
|
||||
#!/usr/bin/env python3
|
||||
"""
|
||||
Validate knowledge files and index.json against the schema.
|
||||
|
||||
Usage:
|
||||
python scripts/validate_knowledge.py
|
||||
"""
|
||||
|
||||
import json
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
VALID_CATEGORIES = {"fact", "pitfall", "pattern", "tool-quirk", "question"}
|
||||
REQUIRED_FACT_FIELDS = {"id", "fact", "category", "domain", "confidence"}
|
||||
MAX_FACT_LENGTH = 280
|
||||
|
||||
|
||||
def validate_fact(fact, source=""):
|
||||
errors = []
|
||||
for field in REQUIRED_FACT_FIELDS:
|
||||
if field not in fact:
|
||||
errors.append(f"{source}: missing required field '{field}'")
|
||||
if "fact" in fact:
|
||||
if not isinstance(fact["fact"], str) or len(fact["fact"].strip()) == 0:
|
||||
errors.append(f"{source}: 'fact' must be non-empty string")
|
||||
elif len(fact["fact"]) > MAX_FACT_LENGTH:
|
||||
errors.append(f"{source}: 'fact' exceeds {MAX_FACT_LENGTH} chars")
|
||||
if "category" in fact and fact["category"] not in VALID_CATEGORIES:
|
||||
errors.append(f"{source}: invalid category '{fact['category']}'")
|
||||
if "confidence" in fact:
|
||||
if not isinstance(fact["confidence"], (int, float)):
|
||||
errors.append(f"{source}: 'confidence' must be a number")
|
||||
elif not (0.0 <= fact["confidence"] <= 1.0):
|
||||
errors.append(f"{source}: 'confidence' must be 0.0-1.0")
|
||||
if "id" in fact:
|
||||
parts = fact["id"].split(":")
|
||||
if len(parts) != 3:
|
||||
errors.append(f"{source}: 'id' must be domain:category:sequence")
|
||||
elif parts[1] not in VALID_CATEGORIES:
|
||||
errors.append(f"{source}: id category '{parts[1]}' invalid")
|
||||
return errors
|
||||
|
||||
|
||||
def main():
|
||||
repo_root = Path(__file__).parent.parent
|
||||
index_path = repo_root / "knowledge" / "index.json"
|
||||
all_errors = []
|
||||
|
||||
if not index_path.exists():
|
||||
print(f"VALIDATION FAILED: index.json not found at {index_path}")
|
||||
sys.exit(1)
|
||||
|
||||
with open(index_path) as f:
|
||||
data = json.load(f)
|
||||
|
||||
if "version" not in data:
|
||||
all_errors.append("index.json: missing 'version'")
|
||||
if "facts" not in data or not isinstance(data["facts"], list):
|
||||
all_errors.append("index.json: missing or invalid 'facts'")
|
||||
|
||||
seen_ids = set()
|
||||
for i, fact in enumerate(data.get("facts", [])):
|
||||
all_errors.extend(validate_fact(fact, f"facts[{i}]"))
|
||||
if "id" in fact:
|
||||
if fact["id"] in seen_ids:
|
||||
all_errors.append(f"index.json: duplicate id '{fact['id']}'")
|
||||
seen_ids.add(fact["id"])
|
||||
|
||||
if all_errors:
|
||||
print(f"VALIDATION FAILED - {len(all_errors)} error(s):\n")
|
||||
for e in all_errors:
|
||||
print(f" x {e}")
|
||||
sys.exit(1)
|
||||
else:
|
||||
print(f"VALIDATION PASSED - {len(data.get('facts', []))} facts, schema v{data.get('version', '?')}")
|
||||
sys.exit(0)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -1,18 +0,0 @@
|
||||
{"role": "user", "content": "Deploy the application to production"}
|
||||
{"role": "assistant", "content": "I'll deploy the application to production.", "tool_calls": [{"function": "terminal", "arguments": {"command": "ssh deploy@prod-server 'cd /app && git pull && docker-compose up -d'"}}]}
|
||||
{"role": "tool", "content": "ssh: connect to host prod-server port 22: Connection refused"}
|
||||
{"role": "assistant", "content": "Connection refused. Let me check the server status.", "tool_calls": [{"function": "terminal", "arguments": {"command": "ping -c 3 prod-server"}}]}
|
||||
{"role": "tool", "content": "PING prod-server (192.168.1.100): 56 data bytes\nRequest timeout for icmp_seq 0\nRequest timeout for icmp_seq 1\nRequest timeout for icmp_seq 2\n--- prod-server ping statistics ---\n3 packets transmitted, 0 packets received, 100.0% packet loss"}
|
||||
{"role": "assistant", "content": "The server appears to be down. Let me check if there's an alternative deployment method."}
|
||||
{"role": "user", "content": "Try using the VPS instead"}
|
||||
{"role": "assistant", "content": "I'll try deploying to the VPS.", "tool_calls": [{"function": "terminal", "arguments": {"command": "ssh deploy@vps-server 'cd /app && git pull && docker-compose up -d'"}}]}
|
||||
{"role": "tool", "content": "Permission denied (publickey)."}
|
||||
{"role": "assistant", "content": "Permission denied. The SSH key might not be set up correctly. Let me check the SSH configuration.", "tool_calls": [{"function": "terminal", "arguments": {"command": "cat ~/.ssh/config"}}]}
|
||||
{"role": "tool", "content": "Host vps-server\n HostName 167.99.126.228\n User deploy\n IdentityFile ~/.ssh/id_rsa_vps"}
|
||||
{"role": "assistant", "content": "The SSH config looks correct. Let me check if the key exists.", "tool_calls": [{"function": "terminal", "arguments": {"command": "ls -la ~/.ssh/id_rsa_vps"}}]}
|
||||
{"role": "tool", "content": "ls: /Users/user/.ssh/id_rsa_vps: No such file or directory"}
|
||||
{"role": "assistant", "content": "The SSH key doesn't exist. This is a pitfall - we need to generate the SSH key first."}
|
||||
{"role": "user", "content": "Generate a new SSH key for the VPS"}
|
||||
{"role": "assistant", "content": "I'll generate a new SSH key.", "tool_calls": [{"function": "terminal", "arguments": {"command": "ssh-keygen -t rsa -b 4096 -f ~/.ssh/id_rsa_vps -N ''"}}]}
|
||||
{"role": "tool", "content": "Generating public/private rsa key pair.\nYour identification has been saved in /Users/user/.ssh/id_rsa_vps\nYour public key has been saved in /Users/user/.ssh/id_rsa_vps.pub\nThe key fingerprint is:\nSHA256:abc123... user@machine"}
|
||||
{"role": "assistant", "content": "SSH key generated. Now I need to add it to the VPS."}
|
||||
@@ -1,14 +0,0 @@
|
||||
{"role": "user", "content": "Check the Gitea API for open issues"}
|
||||
{"role": "assistant", "content": "I'll check the Gitea API for open issues.", "tool_calls": [{"function": "terminal", "arguments": {"command": "curl -H 'Authorization: token $GITEA_TOKEN' https://forge.alexanderwhitestone.com/api/v1/repos/Timmy_Foundation/compounding-intelligence/issues?state=open"}}]}
|
||||
{"role": "tool", "content": "curl: (6) Could not resolve host: forge.alexanderwhitestone.com"}
|
||||
{"role": "assistant", "content": "DNS resolution failed. Let me check the network connectivity.", "tool_calls": [{"function": "terminal", "arguments": {"command": "nslookup forge.alexanderwhitestone.com"}}]}
|
||||
{"role": "tool", "content": "Server: 8.8.8.8\nAddress: 8.8.8.8#53\n\n** server can't find forge.alexanderwhitestone.com: NXDOMAIN"}
|
||||
{"role": "assistant", "content": "The domain doesn't resolve. This might be a DNS issue. Let me try using the IP address directly.", "tool_calls": [{"function": "terminal", "arguments": {"command": "curl -H 'Authorization: token $GITEA_TOKEN' https://167.99.126.228/api/v1/repos/Timmy_Foundation/compounding-intelligence/issues?state=open"}}]}
|
||||
{"role": "tool", "content": "curl: (60) SSL certificate problem: self signed certificate"}
|
||||
{"role": "assistant", "content": "SSL certificate issue. The server is using a self-signed certificate. Let me try with -k flag to skip SSL verification.", "tool_calls": [{"function": "terminal", "arguments": {"command": "curl -k -H 'Authorization: token $GITEA_TOKEN' https://167.99.126.228/api/v1/repos/Timmy_Foundation/compounding-intelligence/issues?state=open"}}]}
|
||||
{"role": "tool", "content": "[]"}
|
||||
{"role": "assistant", "content": "No open issues found. The API returned an empty array."}
|
||||
{"role": "user", "content": "Check if there are any pull requests"}
|
||||
{"role": "assistant", "content": "Let me check for pull requests.", "tool_calls": [{"function": "terminal", "arguments": {"command": "curl -k -H 'Authorization: token $GITEA_TOKEN' https://167.99.126.228/api/v1/repos/Timmy_Foundation/compounding-intelligence/pulls?state=open"}}]}
|
||||
{"role": "tool", "content": "[{"id": 20, "title": "feat: add harvester.py + session_reader.py — session knowledge extractor (closes #8)", "state": "open", "user": {"login": "Rockachopa"}, "created_at": "2026-04-14T17:28:20Z"}]"}
|
||||
{"role": "assistant", "content": "Found 1 open pull request: PR #20 - "feat: add harvester.py + session_reader.py — session knowledge extractor (closes #8)" by Rockachopa."}
|
||||
@@ -1,10 +0,0 @@
|
||||
{"role": "user", "content": "How do I deploy a new version of the application?"}
|
||||
{"role": "assistant", "content": "Here's the deployment process:\n1. Run tests: pytest\n2. Build Docker image: docker build -t app:latest .\n3. Push to registry: docker push registry.example.com/app:latest\n4. Update production: ssh prod 'cd /app && docker-compose pull && docker-compose up -d'\n5. Verify: curl https://app.example.com/health"}
|
||||
{"role": "user", "content": "What if tests fail?"}
|
||||
{"role": "assistant", "content": "If tests fail:\n1. Check the error logs: pytest -v\n2. Fix the failing tests\n3. Re-run tests: pytest\n4. If still failing, check recent changes: git log --oneline -10\n5. Consider reverting: git revert HEAD"}
|
||||
{"role": "user", "content": "What if the Docker build fails?"}
|
||||
{"role": "assistant", "content": "If Docker build fails:\n1. Check Dockerfile syntax: docker build --no-cache -t app:latest .\n2. Check for missing dependencies: cat requirements.txt\n3. Check disk space: df -h\n4. Clean up Docker: docker system prune -f\n5. Try building with verbose output: docker build --progress=plain -t app:latest ."}
|
||||
{"role": "user", "content": "What if the push to registry fails?"}
|
||||
{"role": "assistant", "content": "If push to registry fails:\n1. Check registry credentials: docker login registry.example.com\n2. Check registry space: curl https://registry.example.com/v2/_catalog\n3. Check image size: docker images app:latest\n4. Try tagging with version: docker tag app:latest registry.example.com/app:v1.0.0\n5. Push with version tag: docker push registry.example.com/app:v1.0.0"}
|
||||
{"role": "user", "content": "What if the production update fails?"}
|
||||
{"role": "assistant", "content": "If production update fails:\n1. Check SSH connection: ssh prod 'echo connected'\n2. Check disk space on prod: ssh prod 'df -h'\n3. Check Docker status: ssh prod 'docker ps -a'\n4. Check logs: ssh prod 'docker-compose logs --tail=100'\n5. Rollback: ssh prod 'cd /app && git checkout HEAD~1 && docker-compose up -d'"}
|
||||
@@ -1,12 +0,0 @@
|
||||
{"role": "user", "content": "I need to implement a new feature for the application"}
|
||||
{"role": "assistant", "content": "I can help you implement a new feature. What feature would you like to add?"}
|
||||
{"role": "user", "content": "I want to add user authentication"}
|
||||
{"role": "assistant", "content": "User authentication is a good feature. I have a few questions:\n1. What authentication method do you prefer? (JWT, OAuth, Session-based)\n2. Do you need social login? (Google, GitHub, etc.)\n3. What user data do you need to store?\n4. Do you need role-based access control?\n5. What's your database? (PostgreSQL, MySQL, SQLite)"}
|
||||
{"role": "user", "content": "I prefer JWT, no social login, just email and password, no roles, PostgreSQL"}
|
||||
{"role": "assistant", "content": "Great choices. Here's the implementation plan:\n1. Create user model with email and password hash\n2. Create JWT token generation and validation\n3. Create login endpoint: POST /api/auth/login\n4. Create register endpoint: POST /api/auth/register\n5. Create middleware for protected routes\n6. Add password hashing with bcrypt\n7. Add rate limiting for login attempts\n8. Add password reset functionality\n9. Add email verification\n10. Test all endpoints"}
|
||||
{"role": "user", "content": "What about password reset?"}
|
||||
{"role": "assistant", "content": "For password reset:\n1. Create reset token table\n2. Create forgot password endpoint: POST /api/auth/forgot-password\n3. Send reset email with token\n4. Create reset password endpoint: POST /api/auth/reset-password\n5. Validate reset token and expiration\n6. Update password and delete token\n7. Send confirmation email"}
|
||||
{"role": "user", "content": "What about email verification?"}
|
||||
{"role": "assistant", "content": "For email verification:\n1. Add email_verified field to user model\n2. Create verification token table\n3. Send verification email on registration\n4. Create verify email endpoint: GET /api/auth/verify-email?token=...\n5. Validate token and update email_verified\n6. Add middleware to check email_verified for certain routes\n7. Add resend verification email endpoint"}
|
||||
{"role": "user", "content": "What about rate limiting?"}
|
||||
{"role": "assistant", "content": "For rate limiting:\n1. Use Redis for rate limit storage\n2. Create rate limit middleware\n3. Set limits: 5 login attempts per minute, 3 password resets per hour\n4. Return 429 Too Many Requests when limit exceeded\n5. Add X-RateLimit headers to responses\n6. Log rate limit violations\n7. Add whitelist for trusted IPs"}
|
||||
@@ -1,13 +0,0 @@
|
||||
{"role": "user", "content": "Clone the repo at forge.alexanderwhitestone.com/Timmy_Foundation/compounding-intelligence"}
|
||||
{"role": "assistant", "content": "I'll clone the repository for you.", "tool_calls": [{"function": "terminal", "arguments": {"command": "git clone https://forge.alexanderwhitestone.com/Timmy_Foundation/compounding-intelligence.git"}}]}
|
||||
{"role": "tool", "content": "Cloning into 'compounding-intelligence'...\nremote: Enumerating objects: 15, done.\nremote: Counting objects: 100% (15/15), done.\nremote: Compressing objects: 100% (12/12), done.\nremote: Total 15 (delta 2), reused 0 (delta 0), pack-reused 0\nReceiving objects: 100% (15/15), done.\nResolving deltas: 100% (2/2), done."}
|
||||
{"role": "assistant", "content": "Repository cloned successfully. Let me check the structure.", "tool_calls": [{"function": "terminal", "arguments": {"command": "ls -la compounding-intelligence/"}}]}
|
||||
{"role": "tool", "content": "total 8\ndrwxr-xr-x 5 user staff 160 Apr 14 17:21 .\ndrwxr-xr-x 12 user staff 384 Apr 14 17:21 ..\ndrwxr-xr-x 13 user staff 416 Apr 14 17:21 .git\n-rw-r--r-- 1 user staff 1234 Apr 14 17:21 README.md\ndrwxr-xr-x 3 user staff 96 Apr 14 17:21 knowledge\n-rw-r--r-- 1 user staff 456 Apr 14 17:21 metrics\ndrwxr-xr-x 4 user staff 128 Apr 14 17:21 scripts\ndrwxr-xr-x 3 user staff 96 Apr 14 17:21 templates"}
|
||||
{"role": "user", "content": "What files are in the templates directory?"}
|
||||
{"role": "assistant", "content": "Let me check the templates directory.", "tool_calls": [{"function": "terminal", "arguments": {"command": "ls -la compounding-intelligence/templates/"}}]}
|
||||
{"role": "tool", "content": "total 0\ndrwxr-xr-x 3 user staff 96 Apr 14 17:21 .\ndrwxr-xr-x 5 user staff 160 Apr 14 17:21 ..\n-rw-r--r-- 1 user staff 0 Apr 14 17:21 .gitkeep"}
|
||||
{"role": "assistant", "content": "The templates directory currently only contains a .gitkeep file. No templates have been added yet."}
|
||||
{"role": "user", "content": "Create a harvest-prompt.md template in the templates directory."}
|
||||
{"role": "assistant", "content": "I'll create the harvest-prompt.md template for you.", "tool_calls": [{"function": "terminal", "arguments": {"command": "cat > compounding-intelligence/templates/harvest-prompt.md << 'EOF'\n# Knowledge Extraction Prompt\n\nExtract knowledge from session transcripts.\nEOF"}}]}
|
||||
{"role": "tool", "content": ""}
|
||||
{"role": "assistant", "content": "Template created successfully. The harvest-prompt.md file is now in the templates directory."}
|
||||
Reference in New Issue
Block a user