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fix/10-kno
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fix/14-mea
| Author | SHA1 | Date | |
|---|---|---|---|
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|
bf003cd944 |
@@ -36,79 +36,129 @@ The harvester writes to both. The bootstrapper reads from index.json. Humans edi
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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 |
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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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### ID Format: `{domain}:{category}:{sequence}`
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### ID Format
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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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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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| Category | Definition |
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|----------|------------|
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| `fact` | Concrete, verifiable information |
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| `pitfall` | Errors, wrong assumptions, time-wasters |
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| `pattern` | Successful sequences of actions |
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| `tool-quirk` | Environment-specific behaviors |
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| `question` | Identified but unanswered |
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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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### Confidence Scoring
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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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| 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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## Directory Structure
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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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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
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│ ├── patterns.yaml
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│ └── tool-quirks.yaml
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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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│ ├── {repo-name}.yaml
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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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└── {agent-type}.yaml
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├── mimo-sprint.yaml
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└── ...
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```
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## YAML File Format
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YAML files use frontmatter for metadata, then markdown sections with fact entries:
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### YAML File Format
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```yaml
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---
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domain: global
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category: tool-quirk
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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
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last_updated: "2026-04-13"
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---
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# Title
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# Tool Quirks (Global)
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## Section
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Cross-environment behaviors that bite you if you don't know them.
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## Authentication
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- id: global:tool-quirk:001
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fact: "Description"
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fact: "Gitea token stored at ~/.config/gitea/token, not env var"
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confidence: 0.95
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tags: [tag1, tag2]
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source_count: 5
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tags: [git, auth, gitea]
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source_count: 23
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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.
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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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## Validation
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Run `python scripts/validate_knowledge.py` to validate index.json.
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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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@@ -7,6 +7,8 @@ last_updated: "2026-04-13"
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||||
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||||
# Tool Quirks (Global)
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||||
|
||||
Cross-environment behaviors that bite you if you don't know them.
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||||
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||||
## Authentication
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||||
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- id: global:tool-quirk:001
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@@ -46,7 +48,7 @@ last_updated: "2026-04-13"
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related: [hermes-agent:pitfall:005]
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- id: global:tool-quirk:005
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fact: "Ansible vault-encrypted vars in YAML require vault_inline_vars plugin"
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fact: "Ansible vault-encrypted vars in YAML require vault_inline_vars plugin - standard ansible-vault fails"
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confidence: 0.85
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tags: [ansible, vault, config]
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||||
source_count: 3
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@@ -1,472 +1,6 @@
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{
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||||
"version": 1,
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||||
"last_updated": "2026-04-13T20:00:00Z",
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"total_facts": 29,
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"facts": [
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{
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"id": "hermes-agent:pitfall:001",
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"fact": "deploy-crons.py leaves jobs in mixed model format",
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"category": "pitfall",
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"domain": "hermes-agent",
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"confidence": 0.95,
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||||
"tags": [
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"cron",
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"deploy",
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"model",
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||||
"config"
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||||
],
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||||
"source_count": 5,
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||||
"first_seen": "2026-04-08",
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||||
"last_confirmed": "2026-04-13",
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"related": [
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"hermes-agent:pitfall:002",
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"hermes-agent:pitfall:003"
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||||
]
|
||||
},
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||||
{
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||||
"id": "hermes-agent:pitfall:002",
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||||
"fact": "deploy-crons.py --deploy doesn't set legacy skill field from skills list",
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"category": "pitfall",
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||||
"domain": "hermes-agent",
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||||
"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"
|
||||
]
|
||||
},
|
||||
{
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||||
"id": "hermes-agent:pitfall:003",
|
||||
"fact": "Cron jobs with blank fallback_model fields trigger spurious gateway warnings",
|
||||
"category": "pitfall",
|
||||
"domain": "hermes-agent",
|
||||
"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",
|
||||
"category": "pitfall",
|
||||
"domain": "hermes-agent",
|
||||
"confidence": 0.9,
|
||||
"tags": [
|
||||
"watchdog",
|
||||
"model",
|
||||
"config"
|
||||
],
|
||||
"source_count": 3,
|
||||
"first_seen": "2026-04-08",
|
||||
"last_confirmed": "2026-04-13"
|
||||
},
|
||||
{
|
||||
"id": "hermes-agent:pitfall:005",
|
||||
"fact": "10+ files read HERMES_HOME directly instead of get_hermes_home()",
|
||||
"category": "pitfall",
|
||||
"domain": "hermes-agent",
|
||||
"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",
|
||||
"category": "pitfall",
|
||||
"domain": "hermes-agent",
|
||||
"confidence": 0.8,
|
||||
"tags": [
|
||||
"paths",
|
||||
"env",
|
||||
"bug"
|
||||
],
|
||||
"source_count": 2,
|
||||
"first_seen": "2026-04-05"
|
||||
},
|
||||
{
|
||||
"id": "hermes-agent:pitfall:007",
|
||||
"fact": "vps-agent-dispatch reports OK while remote hermes binary path is broken",
|
||||
"category": "pitfall",
|
||||
"domain": "hermes-agent",
|
||||
"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",
|
||||
"category": "pitfall",
|
||||
"domain": "hermes-agent",
|
||||
"confidence": 0.85,
|
||||
"tags": [
|
||||
"ssh",
|
||||
"health",
|
||||
"cloud"
|
||||
],
|
||||
"source_count": 2,
|
||||
"first_seen": "2026-04-10"
|
||||
},
|
||||
{
|
||||
"id": "the-nexus:pitfall:001",
|
||||
"fact": "Merges fail with HTTP 405 due to branch protection",
|
||||
"category": "pitfall",
|
||||
"domain": "the-nexus",
|
||||
"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",
|
||||
"category": "pitfall",
|
||||
"domain": "the-nexus",
|
||||
"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",
|
||||
"category": "pitfall",
|
||||
"domain": "the-nexus",
|
||||
"confidence": 0.9,
|
||||
"tags": [
|
||||
"html",
|
||||
"crash",
|
||||
"chatlog"
|
||||
],
|
||||
"source_count": 3,
|
||||
"first_seen": "2026-04-12",
|
||||
"last_confirmed": "2026-04-13"
|
||||
},
|
||||
{
|
||||
"id": "the-nexus:pitfall:004",
|
||||
"fact": "Three.js LOD not implemented - local hardware struggles with full scene",
|
||||
"category": "pitfall",
|
||||
"domain": "the-nexus",
|
||||
"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",
|
||||
"category": "pitfall",
|
||||
"domain": "the-nexus",
|
||||
"confidence": 0.8,
|
||||
"tags": [
|
||||
"html",
|
||||
"merge-conflict",
|
||||
"duplicate"
|
||||
],
|
||||
"source_count": 3,
|
||||
"first_seen": "2026-04-11",
|
||||
"last_confirmed": "2026-04-13"
|
||||
},
|
||||
{
|
||||
"id": "the-nexus:pitfall:006",
|
||||
"fact": "Unified HTTP + WebSocket server required for proper URL deployment - separate servers break CORS",
|
||||
"category": "pitfall",
|
||||
"domain": "the-nexus",
|
||||
"confidence": 0.9,
|
||||
"tags": [
|
||||
"deploy",
|
||||
"websocket",
|
||||
"http",
|
||||
"cors"
|
||||
],
|
||||
"source_count": 4,
|
||||
"first_seen": "2026-04-10",
|
||||
"last_confirmed": "2026-04-13"
|
||||
},
|
||||
{
|
||||
"id": "global:tool-quirk:001",
|
||||
"fact": "Gitea token stored at ~/.config/gitea/token, not env var GITEA_TOKEN",
|
||||
"category": "tool-quirk",
|
||||
"domain": "global",
|
||||
"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",
|
||||
"category": "tool-quirk",
|
||||
"domain": "global",
|
||||
"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",
|
||||
"category": "tool-quirk",
|
||||
"domain": "global",
|
||||
"confidence": 0.95,
|
||||
"tags": [
|
||||
"gitea",
|
||||
"api",
|
||||
"issues",
|
||||
"pr"
|
||||
],
|
||||
"source_count": 6,
|
||||
"first_seen": "2026-04-01",
|
||||
"last_confirmed": "2026-04-13"
|
||||
},
|
||||
{
|
||||
"id": "global:tool-quirk:004",
|
||||
"fact": "~/.hermes is the default hermes home - check get_hermes_home() not the path literal",
|
||||
"category": "tool-quirk",
|
||||
"domain": "global",
|
||||
"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",
|
||||
"category": "tool-quirk",
|
||||
"domain": "global",
|
||||
"confidence": 0.85,
|
||||
"tags": [
|
||||
"ansible",
|
||||
"vault",
|
||||
"config"
|
||||
],
|
||||
"source_count": 3,
|
||||
"first_seen": "2026-04-02"
|
||||
},
|
||||
{
|
||||
"id": "global:tool-quirk:006",
|
||||
"fact": "mimo-v2-pro via Nous Research is the default model - don't assume Anthropic is available",
|
||||
"category": "tool-quirk",
|
||||
"domain": "global",
|
||||
"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",
|
||||
"category": "tool-quirk",
|
||||
"domain": "global",
|
||||
"confidence": 0.95,
|
||||
"tags": [
|
||||
"hermes",
|
||||
"model",
|
||||
"restart",
|
||||
"session"
|
||||
],
|
||||
"source_count": 8,
|
||||
"first_seen": "2026-03-29",
|
||||
"last_confirmed": "2026-04-12"
|
||||
},
|
||||
{
|
||||
"id": "global:pitfall:001",
|
||||
"fact": "Branch protection requires 1 approval on main - API merges fail with 405 without it",
|
||||
"category": "pitfall",
|
||||
"domain": "global",
|
||||
"confidence": 0.95,
|
||||
"tags": [
|
||||
"git",
|
||||
"merge",
|
||||
"branch-protection",
|
||||
"gitea"
|
||||
],
|
||||
"source_count": 12,
|
||||
"first_seen": "2026-04-05",
|
||||
"last_confirmed": "2026-04-13",
|
||||
"related": [
|
||||
"the-nexus:pitfall:001"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "global:pitfall:002",
|
||||
"fact": "Never use --no-verify on git commits",
|
||||
"category": "pitfall",
|
||||
"domain": "global",
|
||||
"confidence": 0.95,
|
||||
"tags": [
|
||||
"git",
|
||||
"hooks",
|
||||
"safety"
|
||||
],
|
||||
"source_count": 5,
|
||||
"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",
|
||||
"category": "pitfall",
|
||||
"domain": "global",
|
||||
"confidence": 0.9,
|
||||
"tags": [
|
||||
"gitea",
|
||||
"pr",
|
||||
"api",
|
||||
"workaround"
|
||||
],
|
||||
"source_count": 4,
|
||||
"first_seen": "2026-04-06",
|
||||
"last_confirmed": "2026-04-12"
|
||||
},
|
||||
{
|
||||
"id": "global:pitfall:004",
|
||||
"fact": "Anthropic is BANNED from fallback chain",
|
||||
"category": "pitfall",
|
||||
"domain": "global",
|
||||
"confidence": 0.95,
|
||||
"tags": [
|
||||
"provider",
|
||||
"anthropic",
|
||||
"fallback"
|
||||
],
|
||||
"source_count": 7,
|
||||
"first_seen": "2026-03-30",
|
||||
"last_confirmed": "2026-04-13"
|
||||
},
|
||||
{
|
||||
"id": "global:pitfall:005",
|
||||
"fact": "Telegram tokens expired - don't assume Telegram notifications work",
|
||||
"category": "pitfall",
|
||||
"domain": "global",
|
||||
"confidence": 0.85,
|
||||
"tags": [
|
||||
"telegram",
|
||||
"notifications",
|
||||
"token"
|
||||
],
|
||||
"source_count": 3,
|
||||
"first_seen": "2026-04-02"
|
||||
},
|
||||
{
|
||||
"id": "global:pitfall:006",
|
||||
"fact": "Multiple gateways = 'cannot schedule futures' error - only one gateway process should run",
|
||||
"category": "pitfall",
|
||||
"domain": "global",
|
||||
"confidence": 0.9,
|
||||
"tags": [
|
||||
"gateway",
|
||||
"cron",
|
||||
"process"
|
||||
],
|
||||
"source_count": 4,
|
||||
"first_seen": "2026-04-04",
|
||||
"last_confirmed": "2026-04-11"
|
||||
},
|
||||
{
|
||||
"id": "global:pitfall:007",
|
||||
"fact": "pytest root collection picks up operational *_test.py scripts - restrict to tests/ directory",
|
||||
"category": "pitfall",
|
||||
"domain": "global",
|
||||
"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",
|
||||
"category": "pitfall",
|
||||
"domain": "global",
|
||||
"confidence": 0.95,
|
||||
"tags": [
|
||||
"tdd",
|
||||
"testing",
|
||||
"methodology"
|
||||
],
|
||||
"source_count": 8,
|
||||
"first_seen": "2026-03-25",
|
||||
"last_confirmed": "2026-04-13"
|
||||
}
|
||||
]
|
||||
"total_facts": 0,
|
||||
"facts": []
|
||||
}
|
||||
@@ -7,6 +7,8 @@ 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
|
||||
@@ -19,7 +21,7 @@ last_updated: "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"
|
||||
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
|
||||
|
||||
@@ -7,6 +7,8 @@ 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
|
||||
|
||||
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"
|
||||
}
|
||||
}
|
||||
}
|
||||
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()
|
||||
@@ -1,38 +1,80 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Validate knowledge files and index.json against the schema."""
|
||||
import json, sys
|
||||
"""
|
||||
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 = {"id", "fact", "category", "domain", "confidence"}
|
||||
REQUIRED_FACT_FIELDS = {"id", "fact", "category", "domain", "confidence"}
|
||||
MAX_FACT_LENGTH = 280
|
||||
|
||||
def validate_fact(fact, src=""):
|
||||
errs = []
|
||||
for f in REQUIRED:
|
||||
if f not in fact: errs.append(f"{src}: missing '{f}'")
|
||||
|
||||
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:
|
||||
errs.append(f"{src}: invalid category '{fact['category']}'")
|
||||
errors.append(f"{source}: invalid category '{fact['category']}'")
|
||||
if "confidence" in fact:
|
||||
if not isinstance(fact["confidence"], (int, float)) or not (0 <= fact["confidence"] <= 1):
|
||||
errs.append(f"{src}: confidence must be 0.0-1.0")
|
||||
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: errs.append(f"{src}: id must be domain:category:sequence")
|
||||
return errs
|
||||
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():
|
||||
idx = Path(__file__).parent.parent / "knowledge" / "index.json"
|
||||
if not idx.exists(): print(f"FAILED: {idx} not found"); sys.exit(1)
|
||||
data = json.load(open(idx))
|
||||
errs = []
|
||||
seen = set()
|
||||
for i, f in enumerate(data.get("facts", [])):
|
||||
errs.extend(validate_fact(f, f"[{i}]"))
|
||||
if "id" in f:
|
||||
if f["id"] in seen: errs.append(f"duplicate id '{f['id']}'")
|
||||
seen.add(f["id"])
|
||||
if errs:
|
||||
print(f"FAILED - {len(errs)} errors:"); [print(f" x {e}") for e in errs]; sys.exit(1)
|
||||
print(f"PASSED - {len(data.get('facts', []))} facts")
|
||||
repo_root = Path(__file__).parent.parent
|
||||
index_path = repo_root / "knowledge" / "index.json"
|
||||
all_errors = []
|
||||
|
||||
if __name__ == "__main__": main()
|
||||
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()
|
||||
|
||||
Reference in New Issue
Block a user