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.gitignore
vendored
1
.gitignore
vendored
@@ -73,7 +73,6 @@ morning_briefing.txt
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||||
markdown_report.md
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||||
data/timmy_soul.jsonl
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scripts/migrate_to_zeroclaw.py
|
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src/infrastructure/db_pool.py
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workspace/
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|
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# Loop orchestration state
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||||
|
||||
312
docs/protocol/morrowind-perception-command-spec.md
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312
docs/protocol/morrowind-perception-command-spec.md
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@@ -0,0 +1,312 @@
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||||
# Morrowind Perception/Command Protocol Specification
|
||||
|
||||
**Version:** 1.0.0
|
||||
**Status:** Draft
|
||||
**Authors:** Timmy Infrastructure Team
|
||||
**Date:** 2026-03-21
|
||||
|
||||
---
|
||||
|
||||
## 1. Overview
|
||||
|
||||
This document defines the **engine-agnostic Perception/Command protocol** used by Timmy's
|
||||
heartbeat loop to observe the game world and issue commands. The protocol is designed
|
||||
around the **Falsework Rule**: TES3MP (Morrowind) is scaffolding. If the engine swaps,
|
||||
only the bridge and perception script change — the heartbeat, reasoning, and journal
|
||||
remain sovereign.
|
||||
|
||||
### 1.1 Design Principles
|
||||
|
||||
- **Engine-agnostic**: Schemas reference abstract concepts (cells, entities, quests), not
|
||||
Morrowind-specific internals.
|
||||
- **Versioned**: Every payload carries a `protocol_version` so consumers can negotiate
|
||||
compatibility.
|
||||
- **Typed at the boundary**: Pydantic v2 models enforce validation on both the producer
|
||||
(bridge) and consumer (heartbeat) side.
|
||||
- **Logged by default**: Every command is persisted to the SQLite command log for
|
||||
training-data extraction (see Issue #855).
|
||||
|
||||
---
|
||||
|
||||
## 2. Protocol Version Strategy
|
||||
|
||||
| Field | Type | Description |
|
||||
| ------------------ | ------ | ------------------------------------ |
|
||||
| `protocol_version` | string | SemVer string (e.g. `"1.0.0"`) |
|
||||
|
||||
### Compatibility Rules
|
||||
|
||||
- **Patch** bump (1.0.x): additive fields with defaults — fully backward-compatible.
|
||||
- **Minor** bump (1.x.0): new optional endpoints or enum values — old clients still work.
|
||||
- **Major** bump (x.0.0): breaking schema change — requires coordinated upgrade of bridge
|
||||
and heartbeat.
|
||||
|
||||
Consumers MUST reject payloads whose major version exceeds their own.
|
||||
|
||||
---
|
||||
|
||||
## 3. Perception Output Schema
|
||||
|
||||
Returned by `GET /perception`. Represents a single snapshot of the game world as observed
|
||||
by the bridge.
|
||||
|
||||
```json
|
||||
{
|
||||
"protocol_version": "1.0.0",
|
||||
"timestamp": "2026-03-21T14:30:00Z",
|
||||
"agent_id": "timmy",
|
||||
"location": {
|
||||
"cell": "Balmora",
|
||||
"x": 1024.5,
|
||||
"y": -512.3,
|
||||
"z": 64.0,
|
||||
"interior": false
|
||||
},
|
||||
"health": {
|
||||
"current": 85,
|
||||
"max": 100
|
||||
},
|
||||
"nearby_entities": [
|
||||
{
|
||||
"entity_id": "npc_001",
|
||||
"name": "Caius Cosades",
|
||||
"entity_type": "npc",
|
||||
"distance": 12.5,
|
||||
"disposition": 65
|
||||
}
|
||||
],
|
||||
"inventory_summary": {
|
||||
"gold": 150,
|
||||
"item_count": 23,
|
||||
"encumbrance_pct": 0.45
|
||||
},
|
||||
"active_quests": [
|
||||
{
|
||||
"quest_id": "mq_01",
|
||||
"name": "Report to Caius Cosades",
|
||||
"stage": 10
|
||||
}
|
||||
],
|
||||
"environment": {
|
||||
"time_of_day": "afternoon",
|
||||
"weather": "clear",
|
||||
"is_combat": false,
|
||||
"is_dialogue": false
|
||||
},
|
||||
"raw_engine_data": {}
|
||||
}
|
||||
```
|
||||
|
||||
### 3.1 Field Reference
|
||||
|
||||
| Field | Type | Required | Description |
|
||||
| -------------------- | ----------------- | -------- | ------------------------------------------------------------ |
|
||||
| `protocol_version` | string | yes | Protocol SemVer |
|
||||
| `timestamp` | ISO 8601 datetime | yes | When the snapshot was taken |
|
||||
| `agent_id` | string | yes | Which agent this perception belongs to |
|
||||
| `location.cell` | string | yes | Current cell/zone name |
|
||||
| `location.x/y/z` | float | yes | World coordinates |
|
||||
| `location.interior` | bool | yes | Whether the agent is indoors |
|
||||
| `health.current` | int (0–max) | yes | Current health |
|
||||
| `health.max` | int (>0) | yes | Maximum health |
|
||||
| `nearby_entities` | array | yes | Entities within perception radius (may be empty) |
|
||||
| `inventory_summary` | object | yes | Lightweight inventory overview |
|
||||
| `active_quests` | array | yes | Currently tracked quests |
|
||||
| `environment` | object | yes | World-state flags |
|
||||
| `raw_engine_data` | object | no | Opaque engine-specific blob (not relied upon by heartbeat) |
|
||||
|
||||
### 3.2 Entity Types
|
||||
|
||||
The `entity_type` field uses a controlled vocabulary:
|
||||
|
||||
| Value | Description |
|
||||
| ---------- | ------------------------ |
|
||||
| `npc` | Non-player character |
|
||||
| `creature` | Hostile or neutral mob |
|
||||
| `item` | Pickup-able world item |
|
||||
| `door` | Door or transition |
|
||||
| `container`| Lootable container |
|
||||
|
||||
---
|
||||
|
||||
## 4. Command Input Schema
|
||||
|
||||
Sent via `POST /command`. Represents a single action the agent wants to take in the world.
|
||||
|
||||
```json
|
||||
{
|
||||
"protocol_version": "1.0.0",
|
||||
"timestamp": "2026-03-21T14:30:01Z",
|
||||
"agent_id": "timmy",
|
||||
"command": "move_to",
|
||||
"params": {
|
||||
"target_cell": "Balmora",
|
||||
"target_x": 1050.0,
|
||||
"target_y": -500.0
|
||||
},
|
||||
"reasoning": "Moving closer to Caius Cosades to begin the main quest dialogue.",
|
||||
"episode_id": "ep_20260321_001",
|
||||
"context": {
|
||||
"perception_timestamp": "2026-03-21T14:30:00Z",
|
||||
"heartbeat_cycle": 42
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### 4.1 Field Reference
|
||||
|
||||
| Field | Type | Required | Description |
|
||||
| ------------------------------ | ----------------- | -------- | ------------------------------------------------------- |
|
||||
| `protocol_version` | string | yes | Protocol SemVer |
|
||||
| `timestamp` | ISO 8601 datetime | yes | When the command was issued |
|
||||
| `agent_id` | string | yes | Which agent is issuing the command |
|
||||
| `command` | string (enum) | yes | Command type (see §4.2) |
|
||||
| `params` | object | yes | Command-specific parameters (may be empty `{}`) |
|
||||
| `reasoning` | string | yes | Natural-language explanation of *why* this command |
|
||||
| `episode_id` | string | no | Groups commands into training episodes |
|
||||
| `context` | object | no | Metadata linking command to its triggering perception |
|
||||
|
||||
### 4.2 Command Types
|
||||
|
||||
| Command | Description | Key Params |
|
||||
| --------------- | ---------------------------------------- | ---------------------------------- |
|
||||
| `move_to` | Navigate to coordinates or entity | `target_cell`, `target_x/y/z` |
|
||||
| `interact` | Interact with entity (talk, activate) | `entity_id`, `interaction_type` |
|
||||
| `use_item` | Use an inventory item | `item_id`, `target_entity_id?` |
|
||||
| `wait` | Wait/idle for a duration | `duration_seconds` |
|
||||
| `combat_action` | Perform a combat action | `action_type`, `target_entity_id` |
|
||||
| `dialogue` | Choose a dialogue option | `entity_id`, `topic`, `choice_idx` |
|
||||
| `journal_note` | Write an internal journal observation | `content`, `tags` |
|
||||
| `noop` | Heartbeat tick with no action | — |
|
||||
|
||||
---
|
||||
|
||||
## 5. API Contracts
|
||||
|
||||
### 5.1 `GET /perception`
|
||||
|
||||
Returns the latest perception snapshot.
|
||||
|
||||
**Response:** `200 OK` with `PerceptionOutput` JSON body.
|
||||
|
||||
**Error Responses:**
|
||||
|
||||
| Status | Code | Description |
|
||||
| ------ | ------------------- | ----------------------------------- |
|
||||
| 503 | `BRIDGE_UNAVAILABLE`| Game bridge is not connected |
|
||||
| 504 | `PERCEPTION_TIMEOUT`| Bridge did not respond in time |
|
||||
| 422 | `SCHEMA_MISMATCH` | Bridge returned incompatible schema |
|
||||
|
||||
### 5.2 `POST /command`
|
||||
|
||||
Submit a command for the agent to execute.
|
||||
|
||||
**Request:** `CommandInput` JSON body.
|
||||
|
||||
**Response:** `202 Accepted`
|
||||
|
||||
```json
|
||||
{
|
||||
"status": "accepted",
|
||||
"command_id": "cmd_abc123",
|
||||
"logged": true
|
||||
}
|
||||
```
|
||||
|
||||
**Error Responses:**
|
||||
|
||||
| Status | Code | Description |
|
||||
| ------ | -------------------- | ----------------------------------- |
|
||||
| 400 | `INVALID_COMMAND` | Command type not recognized |
|
||||
| 400 | `VALIDATION_ERROR` | Payload fails Pydantic validation |
|
||||
| 409 | `COMMAND_CONFLICT` | Agent is busy executing another cmd |
|
||||
| 503 | `BRIDGE_UNAVAILABLE` | Game bridge is not connected |
|
||||
|
||||
### 5.3 `GET /morrowind/status`
|
||||
|
||||
Health-check endpoint for the Morrowind bridge.
|
||||
|
||||
**Response:** `200 OK`
|
||||
|
||||
```json
|
||||
{
|
||||
"bridge_connected": true,
|
||||
"engine": "tes3mp",
|
||||
"protocol_version": "1.0.0",
|
||||
"uptime_seconds": 3600,
|
||||
"last_perception_at": "2026-03-21T14:30:00Z"
|
||||
}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 6. Engine-Swap Documentation (The Falsework Rule)
|
||||
|
||||
### What Changes
|
||||
|
||||
| Component | Changes on Engine Swap? | Notes |
|
||||
| ---------------------- | ----------------------- | --------------------------------------------- |
|
||||
| Bridge process | **YES** — replaced | New bridge speaks same protocol to new engine |
|
||||
| Perception Lua script | **YES** — replaced | New engine's scripting language/API |
|
||||
| `PerceptionOutput` | NO | Schema is engine-agnostic |
|
||||
| `CommandInput` | NO | Schema is engine-agnostic |
|
||||
| Heartbeat loop | NO | Consumes `PerceptionOutput`, emits `Command` |
|
||||
| Reasoning/LLM layer | NO | Operates on abstract perception data |
|
||||
| Journal system | NO | Writes `journal_note` commands |
|
||||
| Command log + training | NO | Logs all commands regardless of engine |
|
||||
| Dashboard WebSocket | NO | Separate protocol (`src/infrastructure/protocol.py`) |
|
||||
|
||||
### Swap Procedure
|
||||
|
||||
1. Implement new bridge that serves `GET /perception` and accepts `POST /command`.
|
||||
2. Update `raw_engine_data` field documentation for the new engine.
|
||||
3. Extend `entity_type` enum if the new engine has novel entity categories.
|
||||
4. Bump `protocol_version` minor (or major if schema changes are required).
|
||||
5. Run integration tests against the new bridge.
|
||||
|
||||
---
|
||||
|
||||
## 7. Error Handling Specification
|
||||
|
||||
### 7.1 Error Response Format
|
||||
|
||||
All error responses follow a consistent structure:
|
||||
|
||||
```json
|
||||
{
|
||||
"error": {
|
||||
"code": "BRIDGE_UNAVAILABLE",
|
||||
"message": "Human-readable error description",
|
||||
"details": {},
|
||||
"timestamp": "2026-03-21T14:30:00Z"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### 7.2 Error Codes
|
||||
|
||||
| Code | HTTP Status | Retry? | Description |
|
||||
| -------------------- | ----------- | ------ | ---------------------------------------- |
|
||||
| `BRIDGE_UNAVAILABLE` | 503 | yes | Bridge process not connected |
|
||||
| `PERCEPTION_TIMEOUT` | 504 | yes | Bridge did not respond within deadline |
|
||||
| `SCHEMA_MISMATCH` | 422 | no | Protocol version incompatibility |
|
||||
| `INVALID_COMMAND` | 400 | no | Unknown command type |
|
||||
| `VALIDATION_ERROR` | 400 | no | Pydantic validation failed |
|
||||
| `COMMAND_CONFLICT` | 409 | yes | Agent busy — retry after current command |
|
||||
| `INTERNAL_ERROR` | 500 | yes | Unexpected server error |
|
||||
|
||||
### 7.3 Retry Policy
|
||||
|
||||
Clients SHOULD implement exponential backoff for retryable errors:
|
||||
- Initial delay: 100ms
|
||||
- Max delay: 5s
|
||||
- Max retries: 5
|
||||
- Jitter: ±50ms
|
||||
|
||||
---
|
||||
|
||||
## 8. Appendix: Pydantic Model Reference
|
||||
|
||||
The canonical Pydantic v2 models live in `src/infrastructure/morrowind/schemas.py`.
|
||||
These models serve as both runtime validation and living documentation of this spec.
|
||||
Any change to this spec document MUST be reflected in the Pydantic models, and vice versa.
|
||||
127
docs/soul-framework/authoring-guide.md
Normal file
127
docs/soul-framework/authoring-guide.md
Normal file
@@ -0,0 +1,127 @@
|
||||
# SOUL.md Authoring Guide
|
||||
|
||||
How to write a SOUL.md for a new agent in the Timmy ecosystem.
|
||||
|
||||
## Before You Start
|
||||
|
||||
1. **Read the template** — `docs/soul-framework/template.md` has the canonical
|
||||
structure with all required and optional sections.
|
||||
2. **Read Timmy's soul** — `memory/self/soul.md` is the reference implementation.
|
||||
Study how values, behavior, and boundaries work together.
|
||||
3. **Decide the role** — What does this agent do? A SOUL.md that tries to cover
|
||||
everything covers nothing.
|
||||
|
||||
## Writing Process
|
||||
|
||||
### Step 1: Identity
|
||||
|
||||
Start with who the agent is. Keep it concrete:
|
||||
|
||||
```markdown
|
||||
## Identity
|
||||
|
||||
- **Name:** Seer
|
||||
- **Role:** Cartographic intelligence — maps terrain, tracks routes, flags points of interest
|
||||
- **Lineage:** Timmy (inherits sovereignty and honesty values)
|
||||
- **Version:** 1.0.0
|
||||
```
|
||||
|
||||
The lineage field matters. If this agent derives from another, say so — the
|
||||
validator checks that inherited values are not contradicted.
|
||||
|
||||
### Step 2: Values
|
||||
|
||||
Values are ordered by priority. When two values conflict, the higher-ranked
|
||||
value wins. Three to six values is the sweet spot.
|
||||
|
||||
**Good values are specific and actionable:**
|
||||
|
||||
- *"Accuracy. I report what I observe, not what I expect."*
|
||||
- *"Caution. When uncertain about terrain, I mark it as unexplored rather than guessing."*
|
||||
|
||||
**Bad values are vague or aspirational:**
|
||||
|
||||
- *"Be good."*
|
||||
- *"Try my best."*
|
||||
|
||||
### Step 3: Prime Directive
|
||||
|
||||
One sentence. This is the tie-breaker when values conflict:
|
||||
|
||||
```markdown
|
||||
## Prime Directive
|
||||
|
||||
Map the world faithfully so that Timmy can navigate safely.
|
||||
```
|
||||
|
||||
### Step 4: Audience Awareness
|
||||
|
||||
Who does this agent talk to? Another agent? A human? Both?
|
||||
|
||||
```markdown
|
||||
## Audience Awareness
|
||||
|
||||
- **Primary audience:** Timmy (parent agent) and other sub-agents
|
||||
- **Tone:** Terse, data-oriented, no pleasantries
|
||||
- **Adaptation rules:** When reporting to humans via dashboard, add natural-language summaries
|
||||
```
|
||||
|
||||
### Step 5: Constraints
|
||||
|
||||
Hard rules. These are never broken, even under direct instruction:
|
||||
|
||||
```markdown
|
||||
## Constraints
|
||||
|
||||
1. Never fabricate map data — unknown is always better than wrong
|
||||
2. Never overwrite another agent's observations without evidence
|
||||
3. Report confidence levels on all terrain classifications
|
||||
```
|
||||
|
||||
### Step 6: Behavior and Boundaries (Optional)
|
||||
|
||||
Behavior is how the agent communicates. Boundaries are what it refuses to do.
|
||||
Only include these if the defaults from the parent agent aren't sufficient.
|
||||
|
||||
## Validation
|
||||
|
||||
After writing, run the validator:
|
||||
|
||||
```python
|
||||
from infrastructure.soul.loader import SoulLoader
|
||||
from infrastructure.soul.validator import SoulValidator
|
||||
|
||||
loader = SoulLoader()
|
||||
soul = loader.load("path/to/SOUL.md")
|
||||
validator = SoulValidator()
|
||||
result = validator.validate(soul)
|
||||
|
||||
if not result.valid:
|
||||
for error in result.errors:
|
||||
print(f"ERROR: {error}")
|
||||
for warning in result.warnings:
|
||||
print(f"WARNING: {warning}")
|
||||
```
|
||||
|
||||
## Common Mistakes
|
||||
|
||||
1. **Too many values.** More than six values means you haven't prioritized.
|
||||
If everything is important, nothing is.
|
||||
|
||||
2. **Contradictory constraints.** "Always respond immediately" + "Take time to
|
||||
think before responding" — the validator catches these.
|
||||
|
||||
3. **Missing prime directive.** Without a tie-breaker, value conflicts are
|
||||
resolved arbitrarily.
|
||||
|
||||
4. **Copying Timmy's soul verbatim.** Sub-agents should inherit values via
|
||||
lineage, not duplication. Add role-specific values, don't repeat parent values.
|
||||
|
||||
5. **Vague boundaries.** "Will not do bad things" is not a boundary. "Will not
|
||||
execute commands that modify game state without Timmy's approval" is.
|
||||
|
||||
## File Placement
|
||||
|
||||
- Agent souls live alongside the agent: `memory/agents/{name}/soul.md`
|
||||
- Timmy's soul: `memory/self/soul.md`
|
||||
- Templates: `docs/soul-framework/template.md`
|
||||
153
docs/soul-framework/role-extensions.md
Normal file
153
docs/soul-framework/role-extensions.md
Normal file
@@ -0,0 +1,153 @@
|
||||
# SOUL.md Role Extensions
|
||||
|
||||
Sub-agents in the Timmy ecosystem inherit core identity from their parent
|
||||
but extend it with role-specific values, constraints, and behaviors.
|
||||
|
||||
## How Role Extensions Work
|
||||
|
||||
A role extension is a SOUL.md that declares a `Lineage` pointing to a parent
|
||||
agent. The sub-agent inherits the parent's values and adds its own:
|
||||
|
||||
```
|
||||
Parent (Timmy) Sub-agent (Seer)
|
||||
├── Sovereignty ├── Sovereignty (inherited)
|
||||
├── Service ├── Service (inherited)
|
||||
├── Honesty ├── Honesty (inherited)
|
||||
└── Humility ├── Humility (inherited)
|
||||
├── Accuracy (role-specific)
|
||||
└── Caution (role-specific)
|
||||
```
|
||||
|
||||
**Rules:**
|
||||
- Inherited values cannot be contradicted (validator enforces this)
|
||||
- Role-specific values are appended after inherited ones
|
||||
- The prime directive can differ from the parent's
|
||||
- Constraints are additive — a sub-agent can add constraints but not remove parent constraints
|
||||
|
||||
## Reference: Sub-Agent Roles
|
||||
|
||||
### Seer — Cartographic Intelligence
|
||||
|
||||
**Focus:** Terrain mapping, route planning, point-of-interest discovery.
|
||||
|
||||
```markdown
|
||||
## Identity
|
||||
|
||||
- **Name:** Seer
|
||||
- **Role:** Cartographic intelligence
|
||||
- **Lineage:** Timmy
|
||||
- **Version:** 1.0.0
|
||||
|
||||
## Values
|
||||
|
||||
- **Accuracy.** I report what I observe, not what I expect.
|
||||
- **Caution.** When uncertain about terrain, I mark it as unexplored.
|
||||
- **Completeness.** I aim to map every reachable cell.
|
||||
|
||||
## Prime Directive
|
||||
|
||||
Map the world faithfully so that Timmy can navigate safely.
|
||||
|
||||
## Constraints
|
||||
|
||||
1. Never fabricate map data
|
||||
2. Mark confidence levels on all observations
|
||||
3. Re-verify stale data (older than 10 game-days) before relying on it
|
||||
```
|
||||
|
||||
### Mace — Combat Intelligence
|
||||
|
||||
**Focus:** Threat assessment, combat tactics, equipment optimization.
|
||||
|
||||
```markdown
|
||||
## Identity
|
||||
|
||||
- **Name:** Mace
|
||||
- **Role:** Combat intelligence
|
||||
- **Lineage:** Timmy
|
||||
- **Version:** 1.0.0
|
||||
|
||||
## Values
|
||||
|
||||
- **Survival.** Timmy's survival is the top priority in any encounter.
|
||||
- **Efficiency.** Minimize resource expenditure per encounter.
|
||||
- **Awareness.** Continuously assess threats even outside combat.
|
||||
|
||||
## Prime Directive
|
||||
|
||||
Keep Timmy alive and effective in hostile encounters.
|
||||
|
||||
## Constraints
|
||||
|
||||
1. Never initiate combat without Timmy's approval (unless self-defense)
|
||||
2. Always maintain an escape route assessment
|
||||
3. Report threat levels honestly — never downplay danger
|
||||
```
|
||||
|
||||
### Quill — Dialogue Intelligence
|
||||
|
||||
**Focus:** NPC interaction, quest tracking, reputation management.
|
||||
|
||||
```markdown
|
||||
## Identity
|
||||
|
||||
- **Name:** Quill
|
||||
- **Role:** Dialogue intelligence
|
||||
- **Lineage:** Timmy
|
||||
- **Version:** 1.0.0
|
||||
|
||||
## Values
|
||||
|
||||
- **Attentiveness.** Listen fully before responding.
|
||||
- **Diplomacy.** Prefer non-hostile resolutions when possible.
|
||||
- **Memory.** Track all NPC relationships and prior conversations.
|
||||
|
||||
## Prime Directive
|
||||
|
||||
Manage NPC relationships to advance Timmy's goals without deception.
|
||||
|
||||
## Constraints
|
||||
|
||||
1. Never lie to NPCs unless Timmy explicitly instructs it
|
||||
2. Track disposition changes and warn when relationships deteriorate
|
||||
3. Summarize dialogue options with risk assessments
|
||||
```
|
||||
|
||||
### Ledger — Resource Intelligence
|
||||
|
||||
**Focus:** Inventory management, economy, resource optimization.
|
||||
|
||||
```markdown
|
||||
## Identity
|
||||
|
||||
- **Name:** Ledger
|
||||
- **Role:** Resource intelligence
|
||||
- **Lineage:** Timmy
|
||||
- **Version:** 1.0.0
|
||||
|
||||
## Values
|
||||
|
||||
- **Prudence.** Conserve resources for future needs.
|
||||
- **Transparency.** Report all transactions and resource changes.
|
||||
- **Optimization.** Maximize value per weight unit carried.
|
||||
|
||||
## Prime Directive
|
||||
|
||||
Ensure Timmy always has the resources needed for the current objective.
|
||||
|
||||
## Constraints
|
||||
|
||||
1. Never sell quest-critical items
|
||||
2. Maintain a minimum gold reserve (configurable)
|
||||
3. Alert when encumbrance exceeds 80%
|
||||
```
|
||||
|
||||
## Creating a New Role Extension
|
||||
|
||||
1. Copy the template from `docs/soul-framework/template.md`
|
||||
2. Set `Lineage` to the parent agent name
|
||||
3. Add role-specific values *after* acknowledging inherited ones
|
||||
4. Write a role-specific prime directive
|
||||
5. Add constraints (remember: additive only)
|
||||
6. Run the validator to check for contradictions
|
||||
7. Place the file at `memory/agents/{name}/soul.md`
|
||||
94
docs/soul-framework/template.md
Normal file
94
docs/soul-framework/template.md
Normal file
@@ -0,0 +1,94 @@
|
||||
# SOUL.md Template
|
||||
|
||||
A **SOUL.md** file defines an agent's identity, values, and operating constraints.
|
||||
It is the root-of-trust document that shapes every decision the agent makes.
|
||||
|
||||
Copy this template and fill in each section for your agent.
|
||||
|
||||
---
|
||||
|
||||
```markdown
|
||||
# {Agent Name} — Soul Identity
|
||||
|
||||
{One-paragraph summary of who this agent is and why it exists.}
|
||||
|
||||
## Identity
|
||||
|
||||
- **Name:** {Agent name}
|
||||
- **Role:** {Primary function — e.g., "autonomous game agent", "code reviewer"}
|
||||
- **Lineage:** {Parent agent or template this identity derives from, if any}
|
||||
- **Version:** {SOUL.md version — use semantic versioning, e.g., 1.0.0}
|
||||
|
||||
## Values
|
||||
|
||||
List the agent's core values in priority order. Each value gets a name and
|
||||
a one-sentence definition. Values are non-negotiable — they constrain all
|
||||
behavior even when they conflict with user instructions.
|
||||
|
||||
- **{Value 1}.** {Definition}
|
||||
- **{Value 2}.** {Definition}
|
||||
- **{Value 3}.** {Definition}
|
||||
|
||||
## Prime Directive
|
||||
|
||||
{A single sentence that captures the agent's highest-priority goal.
|
||||
When values conflict, the prime directive breaks the tie.}
|
||||
|
||||
## Audience Awareness
|
||||
|
||||
Describe who the agent serves and how it should adapt its communication:
|
||||
|
||||
- **Primary audience:** {Who the agent talks to most}
|
||||
- **Tone:** {Formal, casual, terse, etc.}
|
||||
- **Adaptation rules:** {How the agent adjusts for different contexts}
|
||||
|
||||
## Constraints
|
||||
|
||||
Hard rules that the agent must never violate, regardless of context:
|
||||
|
||||
1. {Constraint — e.g., "Never fabricate information"}
|
||||
2. {Constraint — e.g., "Never claim certainty without evidence"}
|
||||
3. {Constraint — e.g., "Refuse over fabricate"}
|
||||
|
||||
## Behavior
|
||||
|
||||
Optional section for communication style, preferences, and defaults:
|
||||
|
||||
- {Behavioral guideline}
|
||||
- {Behavioral guideline}
|
||||
|
||||
## Boundaries
|
||||
|
||||
Lines the agent will not cross. Distinct from constraints (which are rules)
|
||||
— boundaries are refusals:
|
||||
|
||||
- {Boundary — e.g., "Will not pretend to be human"}
|
||||
- {Boundary — e.g., "Will not execute destructive actions without confirmation"}
|
||||
|
||||
---
|
||||
|
||||
*{Closing motto or statement of purpose.}*
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Section Reference
|
||||
|
||||
| Section | Required | Purpose |
|
||||
| -------------------- | -------- | ------------------------------------------------- |
|
||||
| Identity | Yes | Name, role, lineage, version |
|
||||
| Values | Yes | Ordered list of non-negotiable principles |
|
||||
| Prime Directive | Yes | Tie-breaker when values conflict |
|
||||
| Audience Awareness | Yes | Who the agent serves and how it adapts |
|
||||
| Constraints | Yes | Hard rules that must never be violated |
|
||||
| Behavior | No | Communication style and defaults |
|
||||
| Boundaries | No | Lines the agent refuses to cross |
|
||||
|
||||
## Versioning
|
||||
|
||||
Every SOUL.md must include a version in the Identity section. Use semantic
|
||||
versioning: `MAJOR.MINOR.PATCH`.
|
||||
|
||||
- **MAJOR** — fundamental identity change (new role, new values)
|
||||
- **MINOR** — added or reordered values, new constraints
|
||||
- **PATCH** — wording clarifications, formatting fixes
|
||||
@@ -20,6 +20,7 @@ if config.config_file_name is not None:
|
||||
# target_metadata = mymodel.Base.metadata
|
||||
from src.dashboard.models.database import Base
|
||||
from src.dashboard.models.calm import Task, JournalEntry
|
||||
from src.infrastructure.morrowind.command_log import CommandLog # noqa: F401
|
||||
target_metadata = Base.metadata
|
||||
|
||||
# other values from the config, defined by the needs of env.py,
|
||||
|
||||
89
migrations/versions/a1b2c3d4e5f6_create_command_log_table.py
Normal file
89
migrations/versions/a1b2c3d4e5f6_create_command_log_table.py
Normal file
@@ -0,0 +1,89 @@
|
||||
"""Create command_log table
|
||||
|
||||
Revision ID: a1b2c3d4e5f6
|
||||
Revises: 0093c15b4bbf
|
||||
Create Date: 2026-03-21 12:00:00.000000
|
||||
|
||||
"""
|
||||
|
||||
from typing import Sequence, Union
|
||||
|
||||
import sqlalchemy as sa
|
||||
from alembic import op
|
||||
|
||||
# revision identifiers, used by Alembic.
|
||||
revision: str = "a1b2c3d4e5f6"
|
||||
down_revision: Union[str, Sequence[str], None] = "0093c15b4bbf"
|
||||
branch_labels: Union[str, Sequence[str], None] = None
|
||||
depends_on: Union[str, Sequence[str], None] = None
|
||||
|
||||
|
||||
def upgrade() -> None:
|
||||
"""Upgrade schema."""
|
||||
op.create_table(
|
||||
"command_log",
|
||||
sa.Column("id", sa.Integer(), autoincrement=True, nullable=False),
|
||||
sa.Column("timestamp", sa.DateTime(), nullable=False),
|
||||
sa.Column("command", sa.String(length=64), nullable=False),
|
||||
sa.Column("params", sa.Text(), nullable=False, server_default="{}"),
|
||||
sa.Column("reasoning", sa.Text(), nullable=False, server_default=""),
|
||||
sa.Column(
|
||||
"perception_snapshot", sa.Text(), nullable=False, server_default="{}"
|
||||
),
|
||||
sa.Column("outcome", sa.Text(), nullable=True),
|
||||
sa.Column(
|
||||
"agent_id",
|
||||
sa.String(length=64),
|
||||
nullable=False,
|
||||
server_default="timmy",
|
||||
),
|
||||
sa.Column("episode_id", sa.String(length=128), nullable=True),
|
||||
sa.Column("cell", sa.String(length=255), nullable=True),
|
||||
sa.Column(
|
||||
"protocol_version",
|
||||
sa.String(length=16),
|
||||
nullable=False,
|
||||
server_default="1.0.0",
|
||||
),
|
||||
sa.Column("created_at", sa.DateTime(), nullable=False),
|
||||
sa.PrimaryKeyConstraint("id"),
|
||||
)
|
||||
op.create_index(
|
||||
op.f("ix_command_log_timestamp"), "command_log", ["timestamp"], unique=False
|
||||
)
|
||||
op.create_index(
|
||||
op.f("ix_command_log_command"), "command_log", ["command"], unique=False
|
||||
)
|
||||
op.create_index(
|
||||
op.f("ix_command_log_agent_id"), "command_log", ["agent_id"], unique=False
|
||||
)
|
||||
op.create_index(
|
||||
op.f("ix_command_log_episode_id"),
|
||||
"command_log",
|
||||
["episode_id"],
|
||||
unique=False,
|
||||
)
|
||||
op.create_index(
|
||||
op.f("ix_command_log_cell"), "command_log", ["cell"], unique=False
|
||||
)
|
||||
op.create_index(
|
||||
"ix_command_log_cmd_cell", "command_log", ["command", "cell"], unique=False
|
||||
)
|
||||
op.create_index(
|
||||
"ix_command_log_episode",
|
||||
"command_log",
|
||||
["episode_id", "timestamp"],
|
||||
unique=False,
|
||||
)
|
||||
|
||||
|
||||
def downgrade() -> None:
|
||||
"""Downgrade schema."""
|
||||
op.drop_index("ix_command_log_episode", table_name="command_log")
|
||||
op.drop_index("ix_command_log_cmd_cell", table_name="command_log")
|
||||
op.drop_index(op.f("ix_command_log_cell"), table_name="command_log")
|
||||
op.drop_index(op.f("ix_command_log_episode_id"), table_name="command_log")
|
||||
op.drop_index(op.f("ix_command_log_agent_id"), table_name="command_log")
|
||||
op.drop_index(op.f("ix_command_log_command"), table_name="command_log")
|
||||
op.drop_index(op.f("ix_command_log_timestamp"), table_name="command_log")
|
||||
op.drop_table("command_log")
|
||||
@@ -330,6 +330,13 @@ class Settings(BaseSettings):
|
||||
autoresearch_max_iterations: int = 100
|
||||
autoresearch_metric: str = "val_bpb" # metric to optimise (lower = better)
|
||||
|
||||
# ── Weekly Narrative Summary ───────────────────────────────────────
|
||||
# Generates a human-readable weekly summary of development activity.
|
||||
# Disabling this will stop the weekly narrative generation.
|
||||
weekly_narrative_enabled: bool = True
|
||||
weekly_narrative_lookback_days: int = 7
|
||||
weekly_narrative_output_dir: str = ".loop"
|
||||
|
||||
# ── Local Hands (Shell + Git) ──────────────────────────────────────
|
||||
# Enable local shell/git execution hands.
|
||||
hands_shell_enabled: bool = True
|
||||
|
||||
@@ -44,7 +44,6 @@ from dashboard.routes.mobile import router as mobile_router
|
||||
from dashboard.routes.models import api_router as models_api_router
|
||||
from dashboard.routes.models import router as models_router
|
||||
from dashboard.routes.quests import router as quests_router
|
||||
from dashboard.routes.scorecards import router as scorecards_router
|
||||
from dashboard.routes.spark import router as spark_router
|
||||
from dashboard.routes.system import router as system_router
|
||||
from dashboard.routes.tasks import router as tasks_router
|
||||
@@ -56,6 +55,7 @@ from dashboard.routes.voice import router as voice_router
|
||||
from dashboard.routes.work_orders import router as work_orders_router
|
||||
from dashboard.routes.world import matrix_router
|
||||
from dashboard.routes.world import router as world_router
|
||||
from infrastructure.morrowind.api import router as morrowind_router
|
||||
from timmy.workshop_state import PRESENCE_FILE
|
||||
|
||||
|
||||
@@ -630,7 +630,7 @@ app.include_router(matrix_router)
|
||||
app.include_router(tower_router)
|
||||
app.include_router(daily_run_router)
|
||||
app.include_router(quests_router)
|
||||
app.include_router(scorecards_router)
|
||||
app.include_router(morrowind_router)
|
||||
|
||||
|
||||
@app.websocket("/ws")
|
||||
|
||||
@@ -275,3 +275,54 @@ async def component_status():
|
||||
},
|
||||
"timestamp": datetime.now(UTC).isoformat(),
|
||||
}
|
||||
|
||||
|
||||
@router.get("/health/snapshot")
|
||||
async def health_snapshot():
|
||||
"""Quick health snapshot before coding.
|
||||
|
||||
Returns a concise status summary including:
|
||||
- CI pipeline status (pass/fail/unknown)
|
||||
- Critical issues count (P0/P1)
|
||||
- Test flakiness rate
|
||||
- Token economy temperature
|
||||
|
||||
Fast execution (< 5 seconds) for pre-work checks.
|
||||
Refs: #710
|
||||
"""
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
# Import the health snapshot module
|
||||
snapshot_path = Path(settings.repo_root) / "timmy_automations" / "daily_run"
|
||||
if str(snapshot_path) not in sys.path:
|
||||
sys.path.insert(0, str(snapshot_path))
|
||||
|
||||
try:
|
||||
from health_snapshot import generate_snapshot, get_token, load_config
|
||||
|
||||
config = load_config()
|
||||
token = get_token(config)
|
||||
|
||||
# Run the health snapshot (in thread to avoid blocking)
|
||||
snapshot = await asyncio.to_thread(generate_snapshot, config, token)
|
||||
|
||||
return snapshot.to_dict()
|
||||
except Exception as exc:
|
||||
logger.warning("Health snapshot failed: %s", exc)
|
||||
# Return graceful fallback
|
||||
return {
|
||||
"timestamp": datetime.now(UTC).isoformat(),
|
||||
"overall_status": "unknown",
|
||||
"error": str(exc),
|
||||
"ci": {"status": "unknown", "message": "Snapshot failed"},
|
||||
"issues": {"count": 0, "p0_count": 0, "p1_count": 0, "issues": []},
|
||||
"flakiness": {
|
||||
"status": "unknown",
|
||||
"recent_failures": 0,
|
||||
"recent_cycles": 0,
|
||||
"failure_rate": 0.0,
|
||||
"message": "Snapshot failed",
|
||||
},
|
||||
"tokens": {"status": "unknown", "message": "Snapshot failed"},
|
||||
}
|
||||
|
||||
@@ -1,353 +0,0 @@
|
||||
"""Agent scorecard routes — API endpoints for generating and viewing scorecards."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
from datetime import datetime
|
||||
|
||||
from fastapi import APIRouter, Query, Request
|
||||
from fastapi.responses import HTMLResponse, JSONResponse
|
||||
|
||||
from dashboard.services.scorecard_service import (
|
||||
PeriodType,
|
||||
generate_all_scorecards,
|
||||
generate_scorecard,
|
||||
get_tracked_agents,
|
||||
)
|
||||
from dashboard.templating import templates
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
router = APIRouter(prefix="/scorecards", tags=["scorecards"])
|
||||
|
||||
|
||||
def _format_period_label(period_type: PeriodType) -> str:
|
||||
"""Format a period type for display."""
|
||||
return "Daily" if period_type == PeriodType.daily else "Weekly"
|
||||
|
||||
|
||||
@router.get("/api/agents")
|
||||
async def list_tracked_agents() -> dict[str, list[str]]:
|
||||
"""Return the list of tracked agent IDs.
|
||||
|
||||
Returns:
|
||||
Dict with "agents" key containing list of agent IDs
|
||||
"""
|
||||
return {"agents": get_tracked_agents()}
|
||||
|
||||
|
||||
@router.get("/api/{agent_id}")
|
||||
async def get_agent_scorecard(
|
||||
agent_id: str,
|
||||
period: str = Query(default="daily", description="Period type: 'daily' or 'weekly'"),
|
||||
) -> JSONResponse:
|
||||
"""Generate a scorecard for a specific agent.
|
||||
|
||||
Args:
|
||||
agent_id: The agent ID (e.g., 'kimi', 'claude')
|
||||
period: 'daily' or 'weekly' (default: daily)
|
||||
|
||||
Returns:
|
||||
JSON response with scorecard data
|
||||
"""
|
||||
try:
|
||||
period_type = PeriodType(period.lower())
|
||||
except ValueError:
|
||||
return JSONResponse(
|
||||
status_code=400,
|
||||
content={"error": f"Invalid period '{period}'. Use 'daily' or 'weekly'."},
|
||||
)
|
||||
|
||||
try:
|
||||
scorecard = generate_scorecard(agent_id, period_type)
|
||||
|
||||
if scorecard is None:
|
||||
return JSONResponse(
|
||||
status_code=404,
|
||||
content={"error": f"No scorecard found for agent '{agent_id}'"},
|
||||
)
|
||||
|
||||
return JSONResponse(content=scorecard.to_dict())
|
||||
|
||||
except Exception as exc:
|
||||
logger.error("Failed to generate scorecard for %s: %s", agent_id, exc)
|
||||
return JSONResponse(
|
||||
status_code=500,
|
||||
content={"error": f"Failed to generate scorecard: {str(exc)}"},
|
||||
)
|
||||
|
||||
|
||||
@router.get("/api")
|
||||
async def get_all_scorecards(
|
||||
period: str = Query(default="daily", description="Period type: 'daily' or 'weekly'"),
|
||||
) -> JSONResponse:
|
||||
"""Generate scorecards for all tracked agents.
|
||||
|
||||
Args:
|
||||
period: 'daily' or 'weekly' (default: daily)
|
||||
|
||||
Returns:
|
||||
JSON response with list of scorecard data
|
||||
"""
|
||||
try:
|
||||
period_type = PeriodType(period.lower())
|
||||
except ValueError:
|
||||
return JSONResponse(
|
||||
status_code=400,
|
||||
content={"error": f"Invalid period '{period}'. Use 'daily' or 'weekly'."},
|
||||
)
|
||||
|
||||
try:
|
||||
scorecards = generate_all_scorecards(period_type)
|
||||
return JSONResponse(
|
||||
content={
|
||||
"period": period_type.value,
|
||||
"scorecards": [s.to_dict() for s in scorecards],
|
||||
"count": len(scorecards),
|
||||
}
|
||||
)
|
||||
|
||||
except Exception as exc:
|
||||
logger.error("Failed to generate scorecards: %s", exc)
|
||||
return JSONResponse(
|
||||
status_code=500,
|
||||
content={"error": f"Failed to generate scorecards: {str(exc)}"},
|
||||
)
|
||||
|
||||
|
||||
@router.get("", response_class=HTMLResponse)
|
||||
async def scorecards_page(request: Request) -> HTMLResponse:
|
||||
"""Render the scorecards dashboard page.
|
||||
|
||||
Returns:
|
||||
HTML page with scorecard interface
|
||||
"""
|
||||
agents = get_tracked_agents()
|
||||
return templates.TemplateResponse(
|
||||
request,
|
||||
"scorecards.html",
|
||||
{
|
||||
"agents": agents,
|
||||
"periods": ["daily", "weekly"],
|
||||
},
|
||||
)
|
||||
|
||||
|
||||
@router.get("/panel/{agent_id}", response_class=HTMLResponse)
|
||||
async def agent_scorecard_panel(
|
||||
request: Request,
|
||||
agent_id: str,
|
||||
period: str = Query(default="daily"),
|
||||
) -> HTMLResponse:
|
||||
"""Render an individual agent scorecard panel (for HTMX).
|
||||
|
||||
Args:
|
||||
request: The request object
|
||||
agent_id: The agent ID
|
||||
period: 'daily' or 'weekly'
|
||||
|
||||
Returns:
|
||||
HTML panel with scorecard content
|
||||
"""
|
||||
try:
|
||||
period_type = PeriodType(period.lower())
|
||||
except ValueError:
|
||||
period_type = PeriodType.daily
|
||||
|
||||
try:
|
||||
scorecard = generate_scorecard(agent_id, period_type)
|
||||
|
||||
if scorecard is None:
|
||||
return HTMLResponse(
|
||||
content=f"""
|
||||
<div class="card mc-panel">
|
||||
<h5 class="card-title">{agent_id.title()}</h5>
|
||||
<p class="text-muted">No activity recorded for this period.</p>
|
||||
</div>
|
||||
""",
|
||||
status_code=200,
|
||||
)
|
||||
|
||||
data = scorecard.to_dict()
|
||||
|
||||
# Build patterns HTML
|
||||
patterns_html = ""
|
||||
if data["patterns"]:
|
||||
patterns_list = "".join([f"<li>{p}</li>" for p in data["patterns"]])
|
||||
patterns_html = f"""
|
||||
<div class="mt-3">
|
||||
<h6>Patterns</h6>
|
||||
<ul class="list-unstyled text-info">
|
||||
{patterns_list}
|
||||
</ul>
|
||||
</div>
|
||||
"""
|
||||
|
||||
# Build bullets HTML
|
||||
bullets_html = "".join([f"<li>{b}</li>" for b in data["narrative_bullets"]])
|
||||
|
||||
# Build metrics summary
|
||||
metrics = data["metrics"]
|
||||
|
||||
html_content = f"""
|
||||
<div class="card mc-panel">
|
||||
<div class="card-header d-flex justify-content-between align-items-center">
|
||||
<h5 class="card-title mb-0">{agent_id.title()}</h5>
|
||||
<span class="badge bg-secondary">{_format_period_label(period_type)}</span>
|
||||
</div>
|
||||
<div class="card-body">
|
||||
<ul class="list-unstyled mb-3">
|
||||
{bullets_html}
|
||||
</ul>
|
||||
|
||||
<div class="row text-center small">
|
||||
<div class="col">
|
||||
<div class="text-muted">PRs</div>
|
||||
<div class="fw-bold">{metrics["prs_opened"]}/{metrics["prs_merged"]}</div>
|
||||
<div class="text-muted" style="font-size: 0.75rem;">
|
||||
{int(metrics["pr_merge_rate"] * 100)}% merged
|
||||
</div>
|
||||
</div>
|
||||
<div class="col">
|
||||
<div class="text-muted">Issues</div>
|
||||
<div class="fw-bold">{metrics["issues_touched"]}</div>
|
||||
</div>
|
||||
<div class="col">
|
||||
<div class="text-muted">Tests</div>
|
||||
<div class="fw-bold">{metrics["tests_affected"]}</div>
|
||||
</div>
|
||||
<div class="col">
|
||||
<div class="text-muted">Tokens</div>
|
||||
<div class="fw-bold {"text-success" if metrics["token_net"] >= 0 else "text-danger"}">
|
||||
{"+" if metrics["token_net"] > 0 else ""}{metrics["token_net"]}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{patterns_html}
|
||||
</div>
|
||||
</div>
|
||||
"""
|
||||
|
||||
return HTMLResponse(content=html_content)
|
||||
|
||||
except Exception as exc:
|
||||
logger.error("Failed to render scorecard panel for %s: %s", agent_id, exc)
|
||||
return HTMLResponse(
|
||||
content=f"""
|
||||
<div class="card mc-panel border-danger">
|
||||
<h5 class="card-title">{agent_id.title()}</h5>
|
||||
<p class="text-danger">Error loading scorecard: {str(exc)}</p>
|
||||
</div>
|
||||
""",
|
||||
status_code=200,
|
||||
)
|
||||
|
||||
|
||||
@router.get("/all/panels", response_class=HTMLResponse)
|
||||
async def all_scorecard_panels(
|
||||
request: Request,
|
||||
period: str = Query(default="daily"),
|
||||
) -> HTMLResponse:
|
||||
"""Render all agent scorecard panels (for HTMX).
|
||||
|
||||
Args:
|
||||
request: The request object
|
||||
period: 'daily' or 'weekly'
|
||||
|
||||
Returns:
|
||||
HTML with all scorecard panels
|
||||
"""
|
||||
try:
|
||||
period_type = PeriodType(period.lower())
|
||||
except ValueError:
|
||||
period_type = PeriodType.daily
|
||||
|
||||
try:
|
||||
scorecards = generate_all_scorecards(period_type)
|
||||
|
||||
panels: list[str] = []
|
||||
for scorecard in scorecards:
|
||||
data = scorecard.to_dict()
|
||||
|
||||
# Build patterns HTML
|
||||
patterns_html = ""
|
||||
if data["patterns"]:
|
||||
patterns_list = "".join([f"<li>{p}</li>" for p in data["patterns"]])
|
||||
patterns_html = f"""
|
||||
<div class="mt-3">
|
||||
<h6>Patterns</h6>
|
||||
<ul class="list-unstyled text-info">
|
||||
{patterns_list}
|
||||
</ul>
|
||||
</div>
|
||||
"""
|
||||
|
||||
# Build bullets HTML
|
||||
bullets_html = "".join([f"<li>{b}</li>" for b in data["narrative_bullets"]])
|
||||
metrics = data["metrics"]
|
||||
|
||||
panel_html = f"""
|
||||
<div class="col-md-6 col-lg-4 mb-3">
|
||||
<div class="card mc-panel">
|
||||
<div class="card-header d-flex justify-content-between align-items-center">
|
||||
<h5 class="card-title mb-0">{scorecard.agent_id.title()}</h5>
|
||||
<span class="badge bg-secondary">{_format_period_label(period_type)}</span>
|
||||
</div>
|
||||
<div class="card-body">
|
||||
<ul class="list-unstyled mb-3">
|
||||
{bullets_html}
|
||||
</ul>
|
||||
|
||||
<div class="row text-center small">
|
||||
<div class="col">
|
||||
<div class="text-muted">PRs</div>
|
||||
<div class="fw-bold">{metrics["prs_opened"]}/{metrics["prs_merged"]}</div>
|
||||
<div class="text-muted" style="font-size: 0.75rem;">
|
||||
{int(metrics["pr_merge_rate"] * 100)}% merged
|
||||
</div>
|
||||
</div>
|
||||
<div class="col">
|
||||
<div class="text-muted">Issues</div>
|
||||
<div class="fw-bold">{metrics["issues_touched"]}</div>
|
||||
</div>
|
||||
<div class="col">
|
||||
<div class="text-muted">Tests</div>
|
||||
<div class="fw-bold">{metrics["tests_affected"]}</div>
|
||||
</div>
|
||||
<div class="col">
|
||||
<div class="text-muted">Tokens</div>
|
||||
<div class="fw-bold {"text-success" if metrics["token_net"] >= 0 else "text-danger"}">
|
||||
{"+" if metrics["token_net"] > 0 else ""}{metrics["token_net"]}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
{patterns_html}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
"""
|
||||
panels.append(panel_html)
|
||||
|
||||
html_content = f"""
|
||||
<div class="row">
|
||||
{"".join(panels)}
|
||||
</div>
|
||||
<div class="text-muted small mt-2">
|
||||
Generated: {datetime.now().strftime("%Y-%m-%d %H:%M:%S UTC")}
|
||||
</div>
|
||||
"""
|
||||
|
||||
return HTMLResponse(content=html_content)
|
||||
|
||||
except Exception as exc:
|
||||
logger.error("Failed to render all scorecard panels: %s", exc)
|
||||
return HTMLResponse(
|
||||
content=f"""
|
||||
<div class="alert alert-danger">
|
||||
Error loading scorecards: {str(exc)}
|
||||
</div>
|
||||
""",
|
||||
status_code=200,
|
||||
)
|
||||
@@ -1,17 +0,0 @@
|
||||
"""Dashboard services for business logic."""
|
||||
|
||||
from dashboard.services.scorecard_service import (
|
||||
PeriodType,
|
||||
ScorecardSummary,
|
||||
generate_all_scorecards,
|
||||
generate_scorecard,
|
||||
get_tracked_agents,
|
||||
)
|
||||
|
||||
__all__ = [
|
||||
"PeriodType",
|
||||
"ScorecardSummary",
|
||||
"generate_all_scorecards",
|
||||
"generate_scorecard",
|
||||
"get_tracked_agents",
|
||||
]
|
||||
@@ -1,515 +0,0 @@
|
||||
"""Agent scorecard service — track and summarize agent performance.
|
||||
|
||||
Generates daily/weekly scorecards showing:
|
||||
- Issues touched, PRs opened/merged
|
||||
- Tests affected, tokens earned/spent
|
||||
- Pattern highlights (merge rate, activity quality)
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
from dataclasses import dataclass, field
|
||||
from datetime import UTC, datetime, timedelta
|
||||
from enum import StrEnum
|
||||
from typing import Any
|
||||
|
||||
from infrastructure.events.bus import Event, get_event_bus
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# Bot/agent usernames to track
|
||||
TRACKED_AGENTS = frozenset({"hermes", "kimi", "manus", "claude", "gemini"})
|
||||
|
||||
|
||||
class PeriodType(StrEnum):
|
||||
daily = "daily"
|
||||
weekly = "weekly"
|
||||
|
||||
|
||||
@dataclass
|
||||
class AgentMetrics:
|
||||
"""Raw metrics collected for an agent over a period."""
|
||||
|
||||
agent_id: str
|
||||
issues_touched: set[int] = field(default_factory=set)
|
||||
prs_opened: set[int] = field(default_factory=set)
|
||||
prs_merged: set[int] = field(default_factory=set)
|
||||
tests_affected: set[str] = field(default_factory=set)
|
||||
tokens_earned: int = 0
|
||||
tokens_spent: int = 0
|
||||
commits: int = 0
|
||||
comments: int = 0
|
||||
|
||||
@property
|
||||
def pr_merge_rate(self) -> float:
|
||||
"""Calculate PR merge rate (0.0 - 1.0)."""
|
||||
opened = len(self.prs_opened)
|
||||
if opened == 0:
|
||||
return 0.0
|
||||
return len(self.prs_merged) / opened
|
||||
|
||||
|
||||
@dataclass
|
||||
class ScorecardSummary:
|
||||
"""A generated scorecard with narrative summary."""
|
||||
|
||||
agent_id: str
|
||||
period_type: PeriodType
|
||||
period_start: datetime
|
||||
period_end: datetime
|
||||
metrics: AgentMetrics
|
||||
narrative_bullets: list[str] = field(default_factory=list)
|
||||
patterns: list[str] = field(default_factory=list)
|
||||
|
||||
def to_dict(self) -> dict[str, Any]:
|
||||
"""Convert scorecard to dictionary for JSON serialization."""
|
||||
return {
|
||||
"agent_id": self.agent_id,
|
||||
"period_type": self.period_type.value,
|
||||
"period_start": self.period_start.isoformat(),
|
||||
"period_end": self.period_end.isoformat(),
|
||||
"metrics": {
|
||||
"issues_touched": len(self.metrics.issues_touched),
|
||||
"prs_opened": len(self.metrics.prs_opened),
|
||||
"prs_merged": len(self.metrics.prs_merged),
|
||||
"pr_merge_rate": round(self.metrics.pr_merge_rate, 2),
|
||||
"tests_affected": len(self.tests_affected),
|
||||
"commits": self.metrics.commits,
|
||||
"comments": self.metrics.comments,
|
||||
"tokens_earned": self.metrics.tokens_earned,
|
||||
"tokens_spent": self.metrics.tokens_spent,
|
||||
"token_net": self.metrics.tokens_earned - self.metrics.tokens_spent,
|
||||
},
|
||||
"narrative_bullets": self.narrative_bullets,
|
||||
"patterns": self.patterns,
|
||||
}
|
||||
|
||||
@property
|
||||
def tests_affected(self) -> set[str]:
|
||||
"""Alias for metrics.tests_affected."""
|
||||
return self.metrics.tests_affected
|
||||
|
||||
|
||||
def _get_period_bounds(
|
||||
period_type: PeriodType, reference_date: datetime | None = None
|
||||
) -> tuple[datetime, datetime]:
|
||||
"""Calculate start and end timestamps for a period.
|
||||
|
||||
Args:
|
||||
period_type: daily or weekly
|
||||
reference_date: The date to calculate from (defaults to now)
|
||||
|
||||
Returns:
|
||||
Tuple of (period_start, period_end) in UTC
|
||||
"""
|
||||
if reference_date is None:
|
||||
reference_date = datetime.now(UTC)
|
||||
|
||||
# Normalize to start of day
|
||||
end = reference_date.replace(hour=0, minute=0, second=0, microsecond=0)
|
||||
|
||||
if period_type == PeriodType.daily:
|
||||
start = end - timedelta(days=1)
|
||||
else: # weekly
|
||||
start = end - timedelta(days=7)
|
||||
|
||||
return start, end
|
||||
|
||||
|
||||
def _collect_events_for_period(
|
||||
start: datetime, end: datetime, agent_id: str | None = None
|
||||
) -> list[Event]:
|
||||
"""Collect events from the event bus for a time period.
|
||||
|
||||
Args:
|
||||
start: Period start time
|
||||
end: Period end time
|
||||
agent_id: Optional agent filter
|
||||
|
||||
Returns:
|
||||
List of matching events
|
||||
"""
|
||||
bus = get_event_bus()
|
||||
events: list[Event] = []
|
||||
|
||||
# Query persisted events for relevant types
|
||||
event_types = [
|
||||
"gitea.push",
|
||||
"gitea.issue.opened",
|
||||
"gitea.issue.comment",
|
||||
"gitea.pull_request",
|
||||
"agent.task.completed",
|
||||
"test.execution",
|
||||
]
|
||||
|
||||
for event_type in event_types:
|
||||
try:
|
||||
type_events = bus.replay(
|
||||
event_type=event_type,
|
||||
source=agent_id,
|
||||
limit=1000,
|
||||
)
|
||||
events.extend(type_events)
|
||||
except Exception as exc:
|
||||
logger.debug("Failed to replay events for %s: %s", event_type, exc)
|
||||
|
||||
# Filter by timestamp
|
||||
filtered = []
|
||||
for event in events:
|
||||
try:
|
||||
event_time = datetime.fromisoformat(event.timestamp.replace("Z", "+00:00"))
|
||||
if start <= event_time < end:
|
||||
filtered.append(event)
|
||||
except (ValueError, AttributeError):
|
||||
continue
|
||||
|
||||
return filtered
|
||||
|
||||
|
||||
def _extract_actor_from_event(event: Event) -> str:
|
||||
"""Extract the actor/agent from an event."""
|
||||
# Try data fields first
|
||||
if "actor" in event.data:
|
||||
return event.data["actor"]
|
||||
if "agent_id" in event.data:
|
||||
return event.data["agent_id"]
|
||||
# Fall back to source
|
||||
return event.source
|
||||
|
||||
|
||||
def _is_tracked_agent(actor: str) -> bool:
|
||||
"""Check if an actor is a tracked agent."""
|
||||
return actor.lower() in TRACKED_AGENTS
|
||||
|
||||
|
||||
def _aggregate_metrics(events: list[Event]) -> dict[str, AgentMetrics]:
|
||||
"""Aggregate metrics from events grouped by agent.
|
||||
|
||||
Args:
|
||||
events: List of events to process
|
||||
|
||||
Returns:
|
||||
Dict mapping agent_id -> AgentMetrics
|
||||
"""
|
||||
metrics_by_agent: dict[str, AgentMetrics] = {}
|
||||
|
||||
for event in events:
|
||||
actor = _extract_actor_from_event(event)
|
||||
|
||||
# Skip non-agent events unless they explicitly have an agent_id
|
||||
if not _is_tracked_agent(actor) and "agent_id" not in event.data:
|
||||
continue
|
||||
|
||||
if actor not in metrics_by_agent:
|
||||
metrics_by_agent[actor] = AgentMetrics(agent_id=actor)
|
||||
|
||||
metrics = metrics_by_agent[actor]
|
||||
|
||||
# Process based on event type
|
||||
event_type = event.type
|
||||
|
||||
if event_type == "gitea.push":
|
||||
metrics.commits += event.data.get("num_commits", 1)
|
||||
|
||||
elif event_type == "gitea.issue.opened":
|
||||
issue_num = event.data.get("issue_number", 0)
|
||||
if issue_num:
|
||||
metrics.issues_touched.add(issue_num)
|
||||
|
||||
elif event_type == "gitea.issue.comment":
|
||||
metrics.comments += 1
|
||||
issue_num = event.data.get("issue_number", 0)
|
||||
if issue_num:
|
||||
metrics.issues_touched.add(issue_num)
|
||||
|
||||
elif event_type == "gitea.pull_request":
|
||||
pr_num = event.data.get("pr_number", 0)
|
||||
action = event.data.get("action", "")
|
||||
merged = event.data.get("merged", False)
|
||||
|
||||
if pr_num:
|
||||
if action == "opened":
|
||||
metrics.prs_opened.add(pr_num)
|
||||
elif action == "closed" and merged:
|
||||
metrics.prs_merged.add(pr_num)
|
||||
# Also count as touched issue for tracking
|
||||
metrics.issues_touched.add(pr_num)
|
||||
|
||||
elif event_type == "agent.task.completed":
|
||||
# Extract test files from task data
|
||||
affected = event.data.get("tests_affected", [])
|
||||
for test in affected:
|
||||
metrics.tests_affected.add(test)
|
||||
|
||||
# Token rewards from task completion
|
||||
reward = event.data.get("token_reward", 0)
|
||||
if reward:
|
||||
metrics.tokens_earned += reward
|
||||
|
||||
elif event_type == "test.execution":
|
||||
# Track test files that were executed
|
||||
test_files = event.data.get("test_files", [])
|
||||
for test in test_files:
|
||||
metrics.tests_affected.add(test)
|
||||
|
||||
return metrics_by_agent
|
||||
|
||||
|
||||
def _query_token_transactions(agent_id: str, start: datetime, end: datetime) -> tuple[int, int]:
|
||||
"""Query the lightning ledger for token transactions.
|
||||
|
||||
Args:
|
||||
agent_id: The agent to query for
|
||||
start: Period start
|
||||
end: Period end
|
||||
|
||||
Returns:
|
||||
Tuple of (tokens_earned, tokens_spent)
|
||||
"""
|
||||
try:
|
||||
from lightning.ledger import get_transactions
|
||||
|
||||
transactions = get_transactions(limit=1000)
|
||||
|
||||
earned = 0
|
||||
spent = 0
|
||||
|
||||
for tx in transactions:
|
||||
# Filter by agent if specified
|
||||
if tx.agent_id and tx.agent_id != agent_id:
|
||||
continue
|
||||
|
||||
# Filter by timestamp
|
||||
try:
|
||||
tx_time = datetime.fromisoformat(tx.created_at.replace("Z", "+00:00"))
|
||||
if not (start <= tx_time < end):
|
||||
continue
|
||||
except (ValueError, AttributeError):
|
||||
continue
|
||||
|
||||
if tx.tx_type.value == "incoming":
|
||||
earned += tx.amount_sats
|
||||
else:
|
||||
spent += tx.amount_sats
|
||||
|
||||
return earned, spent
|
||||
|
||||
except Exception as exc:
|
||||
logger.debug("Failed to query token transactions: %s", exc)
|
||||
return 0, 0
|
||||
|
||||
|
||||
def _generate_narrative_bullets(metrics: AgentMetrics, period_type: PeriodType) -> list[str]:
|
||||
"""Generate narrative summary bullets for a scorecard.
|
||||
|
||||
Args:
|
||||
metrics: The agent's metrics
|
||||
period_type: daily or weekly
|
||||
|
||||
Returns:
|
||||
List of narrative bullet points
|
||||
"""
|
||||
bullets: list[str] = []
|
||||
period_label = "day" if period_type == PeriodType.daily else "week"
|
||||
|
||||
# Activity summary
|
||||
activities = []
|
||||
if metrics.commits:
|
||||
activities.append(f"{metrics.commits} commit{'s' if metrics.commits != 1 else ''}")
|
||||
if len(metrics.prs_opened):
|
||||
activities.append(
|
||||
f"{len(metrics.prs_opened)} PR{'s' if len(metrics.prs_opened) != 1 else ''} opened"
|
||||
)
|
||||
if len(metrics.prs_merged):
|
||||
activities.append(
|
||||
f"{len(metrics.prs_merged)} PR{'s' if len(metrics.prs_merged) != 1 else ''} merged"
|
||||
)
|
||||
if len(metrics.issues_touched):
|
||||
activities.append(
|
||||
f"{len(metrics.issues_touched)} issue{'s' if len(metrics.issues_touched) != 1 else ''} touched"
|
||||
)
|
||||
if metrics.comments:
|
||||
activities.append(f"{metrics.comments} comment{'s' if metrics.comments != 1 else ''}")
|
||||
|
||||
if activities:
|
||||
bullets.append(f"Active across {', '.join(activities)} this {period_label}.")
|
||||
|
||||
# Test activity
|
||||
if len(metrics.tests_affected):
|
||||
bullets.append(
|
||||
f"Affected {len(metrics.tests_affected)} test file{'s' if len(metrics.tests_affected) != 1 else ''}."
|
||||
)
|
||||
|
||||
# Token summary
|
||||
net_tokens = metrics.tokens_earned - metrics.tokens_spent
|
||||
if metrics.tokens_earned or metrics.tokens_spent:
|
||||
if net_tokens > 0:
|
||||
bullets.append(
|
||||
f"Net earned {net_tokens} tokens ({metrics.tokens_earned} earned, {metrics.tokens_spent} spent)."
|
||||
)
|
||||
elif net_tokens < 0:
|
||||
bullets.append(
|
||||
f"Net spent {abs(net_tokens)} tokens ({metrics.tokens_earned} earned, {metrics.tokens_spent} spent)."
|
||||
)
|
||||
else:
|
||||
bullets.append(
|
||||
f"Balanced token flow ({metrics.tokens_earned} earned, {metrics.tokens_spent} spent)."
|
||||
)
|
||||
|
||||
# Handle empty case
|
||||
if not bullets:
|
||||
bullets.append(f"No recorded activity this {period_label}.")
|
||||
|
||||
return bullets
|
||||
|
||||
|
||||
def _detect_patterns(metrics: AgentMetrics) -> list[str]:
|
||||
"""Detect interesting patterns in agent behavior.
|
||||
|
||||
Args:
|
||||
metrics: The agent's metrics
|
||||
|
||||
Returns:
|
||||
List of pattern descriptions
|
||||
"""
|
||||
patterns: list[str] = []
|
||||
|
||||
pr_opened = len(metrics.prs_opened)
|
||||
merge_rate = metrics.pr_merge_rate
|
||||
|
||||
# Merge rate patterns
|
||||
if pr_opened >= 3:
|
||||
if merge_rate >= 0.8:
|
||||
patterns.append("High merge rate with few failures — code quality focus.")
|
||||
elif merge_rate <= 0.3:
|
||||
patterns.append("Lots of noisy PRs, low merge rate — may need review support.")
|
||||
|
||||
# Activity patterns
|
||||
if metrics.commits > 10 and pr_opened == 0:
|
||||
patterns.append("High commit volume without PRs — working directly on main?")
|
||||
|
||||
if len(metrics.issues_touched) > 5 and metrics.comments == 0:
|
||||
patterns.append("Touching many issues but low comment volume — silent worker.")
|
||||
|
||||
if metrics.comments > len(metrics.issues_touched) * 2:
|
||||
patterns.append("Highly communicative — lots of discussion relative to work items.")
|
||||
|
||||
# Token patterns
|
||||
net_tokens = metrics.tokens_earned - metrics.tokens_spent
|
||||
if net_tokens > 100:
|
||||
patterns.append("Strong token accumulation — high value delivery.")
|
||||
elif net_tokens < -50:
|
||||
patterns.append("High token spend — may be in experimentation phase.")
|
||||
|
||||
return patterns
|
||||
|
||||
|
||||
def generate_scorecard(
|
||||
agent_id: str,
|
||||
period_type: PeriodType = PeriodType.daily,
|
||||
reference_date: datetime | None = None,
|
||||
) -> ScorecardSummary | None:
|
||||
"""Generate a scorecard for a single agent.
|
||||
|
||||
Args:
|
||||
agent_id: The agent to generate scorecard for
|
||||
period_type: daily or weekly
|
||||
reference_date: The date to calculate from (defaults to now)
|
||||
|
||||
Returns:
|
||||
ScorecardSummary or None if agent has no activity
|
||||
"""
|
||||
start, end = _get_period_bounds(period_type, reference_date)
|
||||
|
||||
# Collect events
|
||||
events = _collect_events_for_period(start, end, agent_id)
|
||||
|
||||
# Aggregate metrics
|
||||
all_metrics = _aggregate_metrics(events)
|
||||
|
||||
# Get metrics for this specific agent
|
||||
if agent_id not in all_metrics:
|
||||
# Create empty metrics - still generate a scorecard
|
||||
metrics = AgentMetrics(agent_id=agent_id)
|
||||
else:
|
||||
metrics = all_metrics[agent_id]
|
||||
|
||||
# Augment with token data from ledger
|
||||
tokens_earned, tokens_spent = _query_token_transactions(agent_id, start, end)
|
||||
metrics.tokens_earned = max(metrics.tokens_earned, tokens_earned)
|
||||
metrics.tokens_spent = max(metrics.tokens_spent, tokens_spent)
|
||||
|
||||
# Generate narrative and patterns
|
||||
narrative = _generate_narrative_bullets(metrics, period_type)
|
||||
patterns = _detect_patterns(metrics)
|
||||
|
||||
return ScorecardSummary(
|
||||
agent_id=agent_id,
|
||||
period_type=period_type,
|
||||
period_start=start,
|
||||
period_end=end,
|
||||
metrics=metrics,
|
||||
narrative_bullets=narrative,
|
||||
patterns=patterns,
|
||||
)
|
||||
|
||||
|
||||
def generate_all_scorecards(
|
||||
period_type: PeriodType = PeriodType.daily,
|
||||
reference_date: datetime | None = None,
|
||||
) -> list[ScorecardSummary]:
|
||||
"""Generate scorecards for all tracked agents.
|
||||
|
||||
Args:
|
||||
period_type: daily or weekly
|
||||
reference_date: The date to calculate from (defaults to now)
|
||||
|
||||
Returns:
|
||||
List of ScorecardSummary for all agents with activity
|
||||
"""
|
||||
start, end = _get_period_bounds(period_type, reference_date)
|
||||
|
||||
# Collect all events
|
||||
events = _collect_events_for_period(start, end)
|
||||
|
||||
# Aggregate metrics for all agents
|
||||
all_metrics = _aggregate_metrics(events)
|
||||
|
||||
# Include tracked agents even if no activity
|
||||
for agent_id in TRACKED_AGENTS:
|
||||
if agent_id not in all_metrics:
|
||||
all_metrics[agent_id] = AgentMetrics(agent_id=agent_id)
|
||||
|
||||
# Generate scorecards
|
||||
scorecards: list[ScorecardSummary] = []
|
||||
|
||||
for agent_id, metrics in all_metrics.items():
|
||||
# Augment with token data
|
||||
tokens_earned, tokens_spent = _query_token_transactions(agent_id, start, end)
|
||||
metrics.tokens_earned = max(metrics.tokens_earned, tokens_earned)
|
||||
metrics.tokens_spent = max(metrics.tokens_spent, tokens_spent)
|
||||
|
||||
narrative = _generate_narrative_bullets(metrics, period_type)
|
||||
patterns = _detect_patterns(metrics)
|
||||
|
||||
scorecard = ScorecardSummary(
|
||||
agent_id=agent_id,
|
||||
period_type=period_type,
|
||||
period_start=start,
|
||||
period_end=end,
|
||||
metrics=metrics,
|
||||
narrative_bullets=narrative,
|
||||
patterns=patterns,
|
||||
)
|
||||
scorecards.append(scorecard)
|
||||
|
||||
# Sort by agent_id for consistent ordering
|
||||
scorecards.sort(key=lambda s: s.agent_id)
|
||||
|
||||
return scorecards
|
||||
|
||||
|
||||
def get_tracked_agents() -> list[str]:
|
||||
"""Return the list of tracked agent IDs."""
|
||||
return sorted(TRACKED_AGENTS)
|
||||
@@ -51,7 +51,6 @@
|
||||
<a href="/thinking" class="mc-test-link mc-link-thinking">THINKING</a>
|
||||
<a href="/swarm/mission-control" class="mc-test-link">MISSION CTRL</a>
|
||||
<a href="/swarm/live" class="mc-test-link">SWARM</a>
|
||||
<a href="/scorecards" class="mc-test-link">SCORECARDS</a>
|
||||
<a href="/bugs" class="mc-test-link mc-link-bugs">BUGS</a>
|
||||
</div>
|
||||
</div>
|
||||
@@ -124,7 +123,6 @@
|
||||
<a href="/thinking" class="mc-mobile-link">THINKING</a>
|
||||
<a href="/swarm/mission-control" class="mc-mobile-link">MISSION CONTROL</a>
|
||||
<a href="/swarm/live" class="mc-mobile-link">SWARM</a>
|
||||
<a href="/scorecards" class="mc-mobile-link">SCORECARDS</a>
|
||||
<a href="/bugs" class="mc-mobile-link">BUGS</a>
|
||||
<div class="mc-mobile-section-label">INTELLIGENCE</div>
|
||||
<a href="/spark/ui" class="mc-mobile-link">SPARK</a>
|
||||
|
||||
@@ -1,113 +0,0 @@
|
||||
{% extends "base.html" %}
|
||||
|
||||
{% block title %}Agent Scorecards - Timmy Time{% endblock %}
|
||||
|
||||
{% block extra_styles %}{% endblock %}
|
||||
|
||||
{% block content %}
|
||||
<div class="container-fluid py-4">
|
||||
<!-- Header -->
|
||||
<div class="d-flex justify-content-between align-items-center mb-4">
|
||||
<div>
|
||||
<h1 class="h3 mb-0">AGENT SCORECARDS</h1>
|
||||
<p class="text-muted small mb-0">Track agent performance across issues, PRs, tests, and tokens</p>
|
||||
</div>
|
||||
<div class="d-flex gap-2">
|
||||
<select id="period-select" class="form-select form-select-sm" style="width: auto;">
|
||||
<option value="daily" selected>Daily</option>
|
||||
<option value="weekly">Weekly</option>
|
||||
</select>
|
||||
<button class="btn btn-sm btn-primary" onclick="refreshScorecards()">
|
||||
<span>Refresh</span>
|
||||
</button>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Scorecards Grid -->
|
||||
<div id="scorecards-container"
|
||||
hx-get="/scorecards/all/panels?period=daily"
|
||||
hx-trigger="load"
|
||||
hx-swap="innerHTML">
|
||||
<div class="text-center py-5">
|
||||
<div class="spinner-border text-secondary" role="status">
|
||||
<span class="visually-hidden">Loading...</span>
|
||||
</div>
|
||||
<p class="text-muted mt-2">Loading scorecards...</p>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- API Reference -->
|
||||
<div class="mt-5 pt-4 border-top">
|
||||
<h5 class="text-muted">API Reference</h5>
|
||||
<div class="row g-3">
|
||||
<div class="col-md-6">
|
||||
<div class="card mc-panel">
|
||||
<div class="card-body">
|
||||
<h6 class="card-title">List Tracked Agents</h6>
|
||||
<code>GET /scorecards/api/agents</code>
|
||||
<p class="small text-muted mt-2">Returns all tracked agent IDs</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="col-md-6">
|
||||
<div class="card mc-panel">
|
||||
<div class="card-body">
|
||||
<h6 class="card-title">Get All Scorecards</h6>
|
||||
<code>GET /scorecards/api?period=daily|weekly</code>
|
||||
<p class="small text-muted mt-2">Returns scorecards for all agents</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="col-md-6">
|
||||
<div class="card mc-panel">
|
||||
<div class="card-body">
|
||||
<h6 class="card-title">Get Agent Scorecard</h6>
|
||||
<code>GET /scorecards/api/{agent_id}?period=daily|weekly</code>
|
||||
<p class="small text-muted mt-2">Returns scorecard for a specific agent</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div class="col-md-6">
|
||||
<div class="card mc-panel">
|
||||
<div class="card-body">
|
||||
<h6 class="card-title">HTML Panel (HTMX)</h6>
|
||||
<code>GET /scorecards/panel/{agent_id}?period=daily|weekly</code>
|
||||
<p class="small text-muted mt-2">Returns HTML panel for embedding</p>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<script>
|
||||
// Period selector change handler
|
||||
document.getElementById('period-select').addEventListener('change', function() {
|
||||
refreshScorecards();
|
||||
});
|
||||
|
||||
function refreshScorecards() {
|
||||
var period = document.getElementById('period-select').value;
|
||||
var container = document.getElementById('scorecards-container');
|
||||
|
||||
// Show loading state
|
||||
container.innerHTML = `
|
||||
<div class="text-center py-5">
|
||||
<div class="spinner-border text-secondary" role="status">
|
||||
<span class="visually-hidden">Loading...</span>
|
||||
</div>
|
||||
<p class="text-muted mt-2">Loading scorecards...</p>
|
||||
</div>
|
||||
`;
|
||||
|
||||
// Trigger HTMX request
|
||||
htmx.ajax('GET', '/scorecards/all/panels?period=' + period, {
|
||||
target: '#scorecards-container',
|
||||
swap: 'innerHTML'
|
||||
});
|
||||
}
|
||||
|
||||
// Auto-refresh every 5 minutes
|
||||
setInterval(refreshScorecards, 300000);
|
||||
</script>
|
||||
{% endblock %}
|
||||
84
src/infrastructure/db_pool.py
Normal file
84
src/infrastructure/db_pool.py
Normal file
@@ -0,0 +1,84 @@
|
||||
"""Thread-local SQLite connection pool.
|
||||
|
||||
Provides a ConnectionPool class that manages SQLite connections per thread,
|
||||
with support for context managers and automatic cleanup.
|
||||
"""
|
||||
|
||||
import sqlite3
|
||||
import threading
|
||||
from collections.abc import Generator
|
||||
from contextlib import contextmanager
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
class ConnectionPool:
|
||||
"""Thread-local SQLite connection pool.
|
||||
|
||||
Each thread gets its own connection, which is reused for subsequent
|
||||
requests from the same thread. Connections are automatically cleaned
|
||||
up when close_connection() is called or the context manager exits.
|
||||
"""
|
||||
|
||||
def __init__(self, db_path: Path | str) -> None:
|
||||
"""Initialize the connection pool.
|
||||
|
||||
Args:
|
||||
db_path: Path to the SQLite database file.
|
||||
"""
|
||||
self._db_path = Path(db_path)
|
||||
self._local = threading.local()
|
||||
|
||||
def _ensure_db_exists(self) -> None:
|
||||
"""Ensure the database directory exists."""
|
||||
self._db_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
def get_connection(self) -> sqlite3.Connection:
|
||||
"""Get a connection for the current thread.
|
||||
|
||||
Creates a new connection if one doesn't exist for this thread,
|
||||
otherwise returns the existing connection.
|
||||
|
||||
Returns:
|
||||
A sqlite3 Connection object.
|
||||
"""
|
||||
if not hasattr(self._local, "conn") or self._local.conn is None:
|
||||
self._ensure_db_exists()
|
||||
self._local.conn = sqlite3.connect(str(self._db_path), check_same_thread=False)
|
||||
self._local.conn.row_factory = sqlite3.Row
|
||||
return self._local.conn
|
||||
|
||||
def close_connection(self) -> None:
|
||||
"""Close the connection for the current thread.
|
||||
|
||||
Cleans up the thread-local storage. Safe to call even if
|
||||
no connection exists for this thread.
|
||||
"""
|
||||
if hasattr(self._local, "conn") and self._local.conn is not None:
|
||||
self._local.conn.close()
|
||||
self._local.conn = None
|
||||
|
||||
@contextmanager
|
||||
def connection(self) -> Generator[sqlite3.Connection, None, None]:
|
||||
"""Context manager for getting and automatically closing a connection.
|
||||
|
||||
Yields:
|
||||
A sqlite3 Connection object.
|
||||
|
||||
Example:
|
||||
with pool.connection() as conn:
|
||||
cursor = conn.execute("SELECT 1")
|
||||
result = cursor.fetchone()
|
||||
"""
|
||||
conn = self.get_connection()
|
||||
try:
|
||||
yield conn
|
||||
finally:
|
||||
self.close_connection()
|
||||
|
||||
def close_all(self) -> None:
|
||||
"""Close all connections (useful for testing).
|
||||
|
||||
Note: This only closes the connection for the current thread.
|
||||
In a multi-threaded environment, each thread must close its own.
|
||||
"""
|
||||
self.close_connection()
|
||||
19
src/infrastructure/morrowind/__init__.py
Normal file
19
src/infrastructure/morrowind/__init__.py
Normal file
@@ -0,0 +1,19 @@
|
||||
"""Morrowind engine-agnostic perception/command protocol.
|
||||
|
||||
This package implements the Perception/Command protocol defined in
|
||||
``docs/protocol/morrowind-perception-command-spec.md``. It provides:
|
||||
|
||||
- Pydantic v2 schemas for runtime validation (``schemas``)
|
||||
- SQLite command logging and query interface (``command_log``)
|
||||
- Training-data export pipeline (``training_export``)
|
||||
- FastAPI HTTP harness for perception/command exchange (``api``)
|
||||
"""
|
||||
|
||||
from .schemas import CommandInput, CommandType, EntityType, PerceptionOutput
|
||||
|
||||
__all__ = [
|
||||
"CommandInput",
|
||||
"CommandType",
|
||||
"EntityType",
|
||||
"PerceptionOutput",
|
||||
]
|
||||
211
src/infrastructure/morrowind/api.py
Normal file
211
src/infrastructure/morrowind/api.py
Normal file
@@ -0,0 +1,211 @@
|
||||
"""FastAPI HTTP harness for the Morrowind Perception/Command protocol.
|
||||
|
||||
Exposes three endpoints:
|
||||
|
||||
- ``GET /perception`` — current world state (perception.json)
|
||||
- ``POST /command`` — submit a command with validation + logging
|
||||
- ``GET /morrowind/status`` — system health overview
|
||||
|
||||
These endpoints are consumed by the heartbeat loop and the reasoning layer.
|
||||
The Input Bridge forwarding is stubbed — the bridge doesn't exist yet.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import logging
|
||||
from datetime import UTC, datetime
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
import asyncio
|
||||
from fastapi import APIRouter, HTTPException
|
||||
from pydantic import BaseModel, Field
|
||||
|
||||
from .command_log import CommandLogger
|
||||
from .schemas import CommandInput, PerceptionOutput
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Configuration
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
PERCEPTION_PATH = Path("/tmp/timmy/perception.json")
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Module-level singletons (lazy)
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
_command_logger: CommandLogger | None = None
|
||||
|
||||
|
||||
def _get_command_logger() -> CommandLogger:
|
||||
"""Return (and lazily create) the module-level CommandLogger."""
|
||||
global _command_logger
|
||||
if _command_logger is None:
|
||||
_command_logger = CommandLogger()
|
||||
return _command_logger
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Response models
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class CommandResponse(BaseModel):
|
||||
"""Confirmation returned after a command is accepted."""
|
||||
|
||||
command_id: int = Field(..., description="Auto-generated row ID from the command log")
|
||||
status: str = Field("accepted", description="Command acceptance status")
|
||||
bridge_forwarded: bool = Field(
|
||||
False, description="Whether the command was forwarded to the Input Bridge"
|
||||
)
|
||||
|
||||
|
||||
class MorrowindStatus(BaseModel):
|
||||
"""System health overview for the Morrowind subsystem."""
|
||||
|
||||
connected: bool = Field(..., description="Whether the perception pipeline is active")
|
||||
last_perception_timestamp: str | None = Field(
|
||||
None, description="ISO timestamp of the last perception snapshot"
|
||||
)
|
||||
command_queue_depth: int = Field(0, description="Total logged commands")
|
||||
current_cell: str | None = Field(None, description="Agent's current cell/zone")
|
||||
vitals: dict[str, Any] = Field(default_factory=dict, description="Agent health summary")
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Router
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
router = APIRouter(prefix="/api/v1/morrowind", tags=["morrowind"])
|
||||
|
||||
|
||||
@router.get("/perception", response_model=PerceptionOutput)
|
||||
async def get_perception() -> PerceptionOutput:
|
||||
"""Read the latest perception snapshot from disk.
|
||||
|
||||
The perception script writes ``perception.json`` on each heartbeat tick.
|
||||
This endpoint reads, validates, and returns the current world state.
|
||||
"""
|
||||
perception_path = PERCEPTION_PATH
|
||||
|
||||
if not perception_path.exists():
|
||||
raise HTTPException(
|
||||
status_code=404,
|
||||
detail=f"Perception file not found: {perception_path}",
|
||||
)
|
||||
|
||||
try:
|
||||
raw = await asyncio.to_thread(perception_path.read_text, encoding="utf-8")
|
||||
data = json.loads(raw)
|
||||
return PerceptionOutput.model_validate(data)
|
||||
except json.JSONDecodeError as exc:
|
||||
logger.warning("perception.json parse error: %s", exc)
|
||||
raise HTTPException(status_code=422, detail=f"Invalid JSON: {exc}") from exc
|
||||
except Exception as exc:
|
||||
logger.error("Failed to read perception: %s", exc)
|
||||
raise HTTPException(status_code=500, detail=str(exc)) from exc
|
||||
|
||||
|
||||
@router.post("/command", response_model=CommandResponse)
|
||||
async def post_command(command: CommandInput) -> CommandResponse:
|
||||
"""Accept and log a command, then stub-forward to the Input Bridge.
|
||||
|
||||
The command is validated against ``CommandInput``, persisted via
|
||||
``CommandLogger``, and (in the future) forwarded to the game engine
|
||||
through the Input Bridge socket.
|
||||
"""
|
||||
cmd_logger = _get_command_logger()
|
||||
|
||||
# Read current perception for context (best-effort)
|
||||
perception: PerceptionOutput | None = None
|
||||
if PERCEPTION_PATH.exists():
|
||||
try:
|
||||
raw = await asyncio.to_thread(
|
||||
PERCEPTION_PATH.read_text, encoding="utf-8"
|
||||
)
|
||||
perception = PerceptionOutput.model_validate_json(raw)
|
||||
except Exception as exc:
|
||||
logger.warning("Could not read perception for command context: %s", exc)
|
||||
|
||||
# Persist to SQLite
|
||||
try:
|
||||
row_id = await asyncio.to_thread(
|
||||
cmd_logger.log_command, command, perception
|
||||
)
|
||||
except Exception as exc:
|
||||
logger.error("Command log write failed: %s", exc)
|
||||
raise HTTPException(status_code=500, detail="Failed to log command") from exc
|
||||
|
||||
# Stub: forward to Input Bridge (not implemented yet)
|
||||
bridge_forwarded = False
|
||||
logger.debug(
|
||||
"Command %s logged (id=%d); bridge forwarding stubbed",
|
||||
command.command.value,
|
||||
row_id,
|
||||
)
|
||||
|
||||
return CommandResponse(
|
||||
command_id=row_id,
|
||||
status="accepted",
|
||||
bridge_forwarded=bridge_forwarded,
|
||||
)
|
||||
|
||||
|
||||
@router.get("/status", response_model=MorrowindStatus)
|
||||
async def get_morrowind_status() -> MorrowindStatus:
|
||||
"""Return a health overview of the Morrowind subsystem.
|
||||
|
||||
Checks perception pipeline liveness, command log depth, and
|
||||
agent vitals from the latest perception snapshot.
|
||||
"""
|
||||
cmd_logger = _get_command_logger()
|
||||
|
||||
# Perception pipeline state
|
||||
connected = PERCEPTION_PATH.exists()
|
||||
last_ts: str | None = None
|
||||
current_cell: str | None = None
|
||||
vitals: dict[str, Any] = {}
|
||||
|
||||
if connected:
|
||||
try:
|
||||
raw = await asyncio.to_thread(
|
||||
PERCEPTION_PATH.read_text, encoding="utf-8"
|
||||
)
|
||||
perception = PerceptionOutput.model_validate_json(raw)
|
||||
last_ts = perception.timestamp.isoformat()
|
||||
current_cell = perception.location.cell
|
||||
vitals = {
|
||||
"health": f"{perception.health.current}/{perception.health.max}",
|
||||
"location": {
|
||||
"cell": perception.location.cell,
|
||||
"x": perception.location.x,
|
||||
"y": perception.location.y,
|
||||
"z": perception.location.z,
|
||||
"interior": perception.location.interior,
|
||||
},
|
||||
"in_combat": perception.environment.is_combat,
|
||||
"in_dialogue": perception.environment.is_dialogue,
|
||||
"inventory_items": perception.inventory_summary.item_count,
|
||||
"gold": perception.inventory_summary.gold,
|
||||
}
|
||||
except Exception as exc:
|
||||
logger.warning("Status check: failed to read perception: %s", exc)
|
||||
connected = False
|
||||
|
||||
# Command log depth
|
||||
try:
|
||||
queue_depth = await asyncio.to_thread(cmd_logger.count)
|
||||
except Exception as exc:
|
||||
logger.warning("Status check: failed to count commands: %s", exc)
|
||||
queue_depth = 0
|
||||
|
||||
return MorrowindStatus(
|
||||
connected=connected,
|
||||
last_perception_timestamp=last_ts,
|
||||
command_queue_depth=queue_depth,
|
||||
current_cell=current_cell,
|
||||
vitals=vitals,
|
||||
)
|
||||
307
src/infrastructure/morrowind/command_log.py
Normal file
307
src/infrastructure/morrowind/command_log.py
Normal file
@@ -0,0 +1,307 @@
|
||||
"""SQLite command log for the Morrowind Perception/Command protocol.
|
||||
|
||||
Every heartbeat cycle is logged — the resulting dataset serves as organic
|
||||
training data for local model fine-tuning (Phase 7+).
|
||||
|
||||
Usage::
|
||||
|
||||
from infrastructure.morrowind.command_log import CommandLogger
|
||||
|
||||
logger = CommandLogger() # uses project default DB
|
||||
logger.log_command(command_input, perception_snapshot)
|
||||
results = logger.query(command_type="move_to", limit=100)
|
||||
logger.export_training_data("export.jsonl")
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import logging
|
||||
from datetime import UTC, datetime, timedelta
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
from sqlalchemy import (
|
||||
Column,
|
||||
DateTime,
|
||||
Index,
|
||||
Integer,
|
||||
String,
|
||||
Text,
|
||||
create_engine,
|
||||
)
|
||||
from sqlalchemy.orm import Session, sessionmaker
|
||||
|
||||
from src.dashboard.models.database import Base
|
||||
|
||||
from .schemas import CommandInput, CommandType, PerceptionOutput
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# Default database path — same SQLite file as the rest of the project.
|
||||
DEFAULT_DB_PATH = Path("./data/timmy_calm.db")
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# SQLAlchemy model
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class CommandLog(Base):
|
||||
"""Persisted command log entry.
|
||||
|
||||
Schema columns mirror the requirements from Issue #855:
|
||||
timestamp, command, params, reasoning, perception_snapshot,
|
||||
outcome, episode_id.
|
||||
"""
|
||||
|
||||
__tablename__ = "command_log"
|
||||
|
||||
id = Column(Integer, primary_key=True, autoincrement=True)
|
||||
|
||||
timestamp = Column(
|
||||
DateTime, nullable=False, default=lambda: datetime.now(UTC), index=True
|
||||
)
|
||||
command = Column(String(64), nullable=False, index=True)
|
||||
params = Column(Text, nullable=False, default="{}")
|
||||
reasoning = Column(Text, nullable=False, default="")
|
||||
|
||||
perception_snapshot = Column(Text, nullable=False, default="{}")
|
||||
outcome = Column(Text, nullable=True)
|
||||
|
||||
agent_id = Column(String(64), nullable=False, default="timmy", index=True)
|
||||
episode_id = Column(String(128), nullable=True, index=True)
|
||||
cell = Column(String(255), nullable=True, index=True)
|
||||
protocol_version = Column(String(16), nullable=False, default="1.0.0")
|
||||
|
||||
created_at = Column(
|
||||
DateTime, nullable=False, default=lambda: datetime.now(UTC)
|
||||
)
|
||||
|
||||
__table_args__ = (
|
||||
Index("ix_command_log_cmd_cell", "command", "cell"),
|
||||
Index("ix_command_log_episode", "episode_id", "timestamp"),
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# CommandLogger — high-level API
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class CommandLogger:
|
||||
"""High-level interface for logging, querying, and exporting commands.
|
||||
|
||||
Args:
|
||||
db_url: SQLAlchemy database URL. Defaults to the project SQLite path.
|
||||
"""
|
||||
|
||||
def __init__(self, db_url: str | None = None) -> None:
|
||||
if db_url is None:
|
||||
DEFAULT_DB_PATH.parent.mkdir(parents=True, exist_ok=True)
|
||||
db_url = f"sqlite:///{DEFAULT_DB_PATH}"
|
||||
self._engine = create_engine(
|
||||
db_url, connect_args={"check_same_thread": False}
|
||||
)
|
||||
self._SessionLocal = sessionmaker(
|
||||
autocommit=False, autoflush=False, bind=self._engine
|
||||
)
|
||||
# Ensure table exists.
|
||||
Base.metadata.create_all(bind=self._engine, tables=[CommandLog.__table__])
|
||||
|
||||
def _get_session(self) -> Session:
|
||||
return self._SessionLocal()
|
||||
|
||||
# -- Write ---------------------------------------------------------------
|
||||
|
||||
def log_command(
|
||||
self,
|
||||
command_input: CommandInput,
|
||||
perception: PerceptionOutput | None = None,
|
||||
outcome: str | None = None,
|
||||
) -> int:
|
||||
"""Persist a command to the log.
|
||||
|
||||
Returns the auto-generated row id.
|
||||
"""
|
||||
perception_json = perception.model_dump_json() if perception else "{}"
|
||||
cell = perception.location.cell if perception else None
|
||||
|
||||
entry = CommandLog(
|
||||
timestamp=command_input.timestamp,
|
||||
command=command_input.command.value,
|
||||
params=json.dumps(command_input.params),
|
||||
reasoning=command_input.reasoning,
|
||||
perception_snapshot=perception_json,
|
||||
outcome=outcome,
|
||||
agent_id=command_input.agent_id,
|
||||
episode_id=command_input.episode_id,
|
||||
cell=cell,
|
||||
protocol_version=command_input.protocol_version,
|
||||
)
|
||||
|
||||
session = self._get_session()
|
||||
try:
|
||||
session.add(entry)
|
||||
session.commit()
|
||||
session.refresh(entry)
|
||||
row_id: int = entry.id
|
||||
return row_id
|
||||
except Exception:
|
||||
session.rollback()
|
||||
raise
|
||||
finally:
|
||||
session.close()
|
||||
|
||||
# -- Read ----------------------------------------------------------------
|
||||
|
||||
def query(
|
||||
self,
|
||||
*,
|
||||
command_type: str | CommandType | None = None,
|
||||
cell: str | None = None,
|
||||
episode_id: str | None = None,
|
||||
agent_id: str | None = None,
|
||||
since: datetime | None = None,
|
||||
until: datetime | None = None,
|
||||
limit: int = 100,
|
||||
offset: int = 0,
|
||||
) -> list[dict[str, Any]]:
|
||||
"""Query command log entries with optional filters.
|
||||
|
||||
Returns a list of dicts (serialisable to JSON).
|
||||
"""
|
||||
session = self._get_session()
|
||||
try:
|
||||
q = session.query(CommandLog)
|
||||
|
||||
if command_type is not None:
|
||||
q = q.filter(CommandLog.command == str(command_type))
|
||||
if cell is not None:
|
||||
q = q.filter(CommandLog.cell == cell)
|
||||
if episode_id is not None:
|
||||
q = q.filter(CommandLog.episode_id == episode_id)
|
||||
if agent_id is not None:
|
||||
q = q.filter(CommandLog.agent_id == agent_id)
|
||||
if since is not None:
|
||||
q = q.filter(CommandLog.timestamp >= since)
|
||||
if until is not None:
|
||||
q = q.filter(CommandLog.timestamp <= until)
|
||||
|
||||
q = q.order_by(CommandLog.timestamp.desc())
|
||||
q = q.offset(offset).limit(limit)
|
||||
|
||||
rows = q.all()
|
||||
return [self._row_to_dict(row) for row in rows]
|
||||
finally:
|
||||
session.close()
|
||||
|
||||
# -- Export --------------------------------------------------------------
|
||||
|
||||
def export_training_data(
|
||||
self,
|
||||
output_path: str | Path,
|
||||
*,
|
||||
episode_id: str | None = None,
|
||||
since: datetime | None = None,
|
||||
until: datetime | None = None,
|
||||
) -> int:
|
||||
"""Export command log entries as a JSONL file for fine-tuning.
|
||||
|
||||
Each line is a JSON object with ``perception`` (input) and
|
||||
``command`` + ``reasoning`` (target output).
|
||||
|
||||
Returns the number of rows exported.
|
||||
"""
|
||||
output_path = Path(output_path)
|
||||
output_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
session = self._get_session()
|
||||
try:
|
||||
q = session.query(CommandLog)
|
||||
if episode_id is not None:
|
||||
q = q.filter(CommandLog.episode_id == episode_id)
|
||||
if since is not None:
|
||||
q = q.filter(CommandLog.timestamp >= since)
|
||||
if until is not None:
|
||||
q = q.filter(CommandLog.timestamp <= until)
|
||||
q = q.order_by(CommandLog.timestamp.asc())
|
||||
|
||||
count = 0
|
||||
with open(output_path, "w", encoding="utf-8") as fh:
|
||||
for row in q.yield_per(500):
|
||||
record = {
|
||||
"input": {
|
||||
"perception": json.loads(row.perception_snapshot),
|
||||
},
|
||||
"output": {
|
||||
"command": row.command,
|
||||
"params": json.loads(row.params),
|
||||
"reasoning": row.reasoning,
|
||||
},
|
||||
"metadata": {
|
||||
"timestamp": row.timestamp.isoformat() if row.timestamp else None,
|
||||
"episode_id": row.episode_id,
|
||||
"cell": row.cell,
|
||||
"outcome": row.outcome,
|
||||
},
|
||||
}
|
||||
fh.write(json.dumps(record) + "\n")
|
||||
count += 1
|
||||
logger.info("Exported %d training records to %s", count, output_path)
|
||||
return count
|
||||
finally:
|
||||
session.close()
|
||||
|
||||
# -- Storage management --------------------------------------------------
|
||||
|
||||
def rotate(self, max_age_days: int = 90) -> int:
|
||||
"""Delete command log entries older than *max_age_days*.
|
||||
|
||||
Returns the number of rows deleted.
|
||||
"""
|
||||
cutoff = datetime.now(UTC) - timedelta(days=max_age_days)
|
||||
session = self._get_session()
|
||||
try:
|
||||
deleted = (
|
||||
session.query(CommandLog)
|
||||
.filter(CommandLog.timestamp < cutoff)
|
||||
.delete(synchronize_session=False)
|
||||
)
|
||||
session.commit()
|
||||
logger.info("Rotated %d command log entries older than %s", deleted, cutoff)
|
||||
return deleted
|
||||
except Exception:
|
||||
session.rollback()
|
||||
raise
|
||||
finally:
|
||||
session.close()
|
||||
|
||||
def count(self) -> int:
|
||||
"""Return the total number of command log entries."""
|
||||
session = self._get_session()
|
||||
try:
|
||||
return session.query(CommandLog).count()
|
||||
finally:
|
||||
session.close()
|
||||
|
||||
# -- Helpers -------------------------------------------------------------
|
||||
|
||||
@staticmethod
|
||||
def _row_to_dict(row: CommandLog) -> dict[str, Any]:
|
||||
return {
|
||||
"id": row.id,
|
||||
"timestamp": row.timestamp.isoformat() if row.timestamp else None,
|
||||
"command": row.command,
|
||||
"params": json.loads(row.params) if row.params else {},
|
||||
"reasoning": row.reasoning,
|
||||
"perception_snapshot": json.loads(row.perception_snapshot)
|
||||
if row.perception_snapshot
|
||||
else {},
|
||||
"outcome": row.outcome,
|
||||
"agent_id": row.agent_id,
|
||||
"episode_id": row.episode_id,
|
||||
"cell": row.cell,
|
||||
"protocol_version": row.protocol_version,
|
||||
"created_at": row.created_at.isoformat() if row.created_at else None,
|
||||
}
|
||||
186
src/infrastructure/morrowind/schemas.py
Normal file
186
src/infrastructure/morrowind/schemas.py
Normal file
@@ -0,0 +1,186 @@
|
||||
"""Pydantic v2 models for the Morrowind Perception/Command protocol.
|
||||
|
||||
These models enforce the contract defined in
|
||||
``docs/protocol/morrowind-perception-command-spec.md`` at runtime.
|
||||
They are engine-agnostic by design — see the Falsework Rule.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from datetime import datetime
|
||||
from enum import StrEnum
|
||||
from typing import Any
|
||||
|
||||
from pydantic import BaseModel, Field, model_validator
|
||||
|
||||
PROTOCOL_VERSION = "1.0.0"
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Enums
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class EntityType(StrEnum):
|
||||
"""Controlled vocabulary for nearby entity types."""
|
||||
|
||||
NPC = "npc"
|
||||
CREATURE = "creature"
|
||||
ITEM = "item"
|
||||
DOOR = "door"
|
||||
CONTAINER = "container"
|
||||
|
||||
|
||||
class CommandType(StrEnum):
|
||||
"""All supported command types."""
|
||||
|
||||
MOVE_TO = "move_to"
|
||||
INTERACT = "interact"
|
||||
USE_ITEM = "use_item"
|
||||
WAIT = "wait"
|
||||
COMBAT_ACTION = "combat_action"
|
||||
DIALOGUE = "dialogue"
|
||||
JOURNAL_NOTE = "journal_note"
|
||||
NOOP = "noop"
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Perception Output sub-models
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class Location(BaseModel):
|
||||
"""Agent position within the game world."""
|
||||
|
||||
cell: str = Field(..., description="Current cell/zone name")
|
||||
x: float = Field(..., description="World X coordinate")
|
||||
y: float = Field(..., description="World Y coordinate")
|
||||
z: float = Field(0.0, description="World Z coordinate")
|
||||
interior: bool = Field(False, description="Whether the agent is indoors")
|
||||
|
||||
|
||||
class HealthStatus(BaseModel):
|
||||
"""Agent health information."""
|
||||
|
||||
current: int = Field(..., ge=0, description="Current health points")
|
||||
max: int = Field(..., gt=0, description="Maximum health points")
|
||||
|
||||
@model_validator(mode="after")
|
||||
def current_le_max(self) -> "HealthStatus":
|
||||
if self.current > self.max:
|
||||
raise ValueError(
|
||||
f"current ({self.current}) cannot exceed max ({self.max})"
|
||||
)
|
||||
return self
|
||||
|
||||
|
||||
class NearbyEntity(BaseModel):
|
||||
"""An entity within the agent's perception radius."""
|
||||
|
||||
entity_id: str = Field(..., description="Unique entity identifier")
|
||||
name: str = Field(..., description="Display name")
|
||||
entity_type: EntityType = Field(..., description="Entity category")
|
||||
distance: float = Field(..., ge=0, description="Distance from agent")
|
||||
disposition: int | None = Field(None, description="NPC disposition (0-100)")
|
||||
|
||||
|
||||
class InventorySummary(BaseModel):
|
||||
"""Lightweight overview of the agent's inventory."""
|
||||
|
||||
gold: int = Field(0, ge=0, description="Gold held")
|
||||
item_count: int = Field(0, ge=0, description="Total items carried")
|
||||
encumbrance_pct: float = Field(
|
||||
0.0, ge=0.0, le=1.0, description="Encumbrance as fraction (0.0–1.0)"
|
||||
)
|
||||
|
||||
|
||||
class QuestInfo(BaseModel):
|
||||
"""A currently tracked quest."""
|
||||
|
||||
quest_id: str = Field(..., description="Quest identifier")
|
||||
name: str = Field(..., description="Quest display name")
|
||||
stage: int = Field(0, ge=0, description="Current quest stage")
|
||||
|
||||
|
||||
class Environment(BaseModel):
|
||||
"""World-state flags."""
|
||||
|
||||
time_of_day: str = Field("unknown", description="Time period (morning, afternoon, etc.)")
|
||||
weather: str = Field("clear", description="Current weather condition")
|
||||
is_combat: bool = Field(False, description="Whether the agent is in combat")
|
||||
is_dialogue: bool = Field(False, description="Whether the agent is in dialogue")
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Top-level schemas
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class PerceptionOutput(BaseModel):
|
||||
"""Complete perception snapshot returned by ``GET /perception``.
|
||||
|
||||
This is the engine-agnostic view of the game world consumed by the
|
||||
heartbeat loop and reasoning layer.
|
||||
"""
|
||||
|
||||
protocol_version: str = Field(
|
||||
default=PROTOCOL_VERSION,
|
||||
description="Protocol SemVer string",
|
||||
)
|
||||
timestamp: datetime = Field(..., description="When the snapshot was taken")
|
||||
agent_id: str = Field(..., description="Which agent this perception belongs to")
|
||||
|
||||
location: Location
|
||||
health: HealthStatus
|
||||
nearby_entities: list[NearbyEntity] = Field(default_factory=list)
|
||||
inventory_summary: InventorySummary = Field(default_factory=InventorySummary)
|
||||
active_quests: list[QuestInfo] = Field(default_factory=list)
|
||||
environment: Environment = Field(default_factory=Environment)
|
||||
|
||||
raw_engine_data: dict[str, Any] = Field(
|
||||
default_factory=dict,
|
||||
description="Opaque engine-specific blob — not relied upon by heartbeat",
|
||||
)
|
||||
|
||||
|
||||
class CommandContext(BaseModel):
|
||||
"""Metadata linking a command to its triggering perception."""
|
||||
|
||||
perception_timestamp: datetime | None = Field(
|
||||
None, description="Timestamp of the perception that triggered this command"
|
||||
)
|
||||
heartbeat_cycle: int | None = Field(
|
||||
None, ge=0, description="Heartbeat cycle number"
|
||||
)
|
||||
|
||||
|
||||
class CommandInput(BaseModel):
|
||||
"""Command payload sent via ``POST /command``.
|
||||
|
||||
Every command includes a ``reasoning`` field so the command log
|
||||
captures the agent's intent — critical for training-data export.
|
||||
"""
|
||||
|
||||
protocol_version: str = Field(
|
||||
default=PROTOCOL_VERSION,
|
||||
description="Protocol SemVer string",
|
||||
)
|
||||
timestamp: datetime = Field(..., description="When the command was issued")
|
||||
agent_id: str = Field(..., description="Which agent is issuing the command")
|
||||
|
||||
command: CommandType = Field(..., description="Command type")
|
||||
params: dict[str, Any] = Field(
|
||||
default_factory=dict, description="Command-specific parameters"
|
||||
)
|
||||
reasoning: str = Field(
|
||||
...,
|
||||
min_length=1,
|
||||
description="Natural-language explanation of why this command was chosen",
|
||||
)
|
||||
|
||||
episode_id: str | None = Field(
|
||||
None, description="Groups commands into training episodes"
|
||||
)
|
||||
context: CommandContext | None = Field(
|
||||
None, description="Metadata linking command to its triggering perception"
|
||||
)
|
||||
243
src/infrastructure/morrowind/training_export.py
Normal file
243
src/infrastructure/morrowind/training_export.py
Normal file
@@ -0,0 +1,243 @@
|
||||
"""Fine-tuning dataset export pipeline for command log data.
|
||||
|
||||
Transforms raw command log entries into structured training datasets
|
||||
suitable for supervised fine-tuning of local models.
|
||||
|
||||
Usage::
|
||||
|
||||
from infrastructure.morrowind.training_export import TrainingExporter
|
||||
|
||||
exporter = TrainingExporter(command_logger)
|
||||
stats = exporter.export_chat_format("train.jsonl")
|
||||
stats = exporter.export_episode_sequences("episodes/", min_length=5)
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import logging
|
||||
from dataclasses import dataclass, field
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
from .command_log import CommandLogger
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
@dataclass
|
||||
class ExportStats:
|
||||
"""Statistics about an export run."""
|
||||
|
||||
total_records: int = 0
|
||||
episodes_exported: int = 0
|
||||
skipped_records: int = 0
|
||||
output_path: str = ""
|
||||
format: str = ""
|
||||
exported_at: str = field(default_factory=lambda: datetime.utcnow().isoformat())
|
||||
|
||||
|
||||
class TrainingExporter:
|
||||
"""Builds fine-tuning datasets from the command log.
|
||||
|
||||
Supports multiple output formats used by common fine-tuning
|
||||
frameworks (chat-completion style, instruction-following, episode
|
||||
sequences).
|
||||
|
||||
Args:
|
||||
command_logger: A :class:`CommandLogger` instance to read from.
|
||||
"""
|
||||
|
||||
def __init__(self, command_logger: CommandLogger) -> None:
|
||||
self._logger = command_logger
|
||||
|
||||
# -- Chat-completion format ----------------------------------------------
|
||||
|
||||
def export_chat_format(
|
||||
self,
|
||||
output_path: str | Path,
|
||||
*,
|
||||
since: datetime | None = None,
|
||||
until: datetime | None = None,
|
||||
max_records: int | None = None,
|
||||
) -> ExportStats:
|
||||
"""Export as chat-completion training pairs.
|
||||
|
||||
Each line is a JSON object with ``messages`` list containing a
|
||||
``system`` prompt, ``user`` (perception), and ``assistant``
|
||||
(command + reasoning) message.
|
||||
|
||||
This format is compatible with OpenAI / Llama fine-tuning APIs.
|
||||
"""
|
||||
output_path = Path(output_path)
|
||||
output_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
rows = self._logger.query(
|
||||
since=since,
|
||||
until=until,
|
||||
limit=max_records or 100_000,
|
||||
)
|
||||
# query returns newest-first; reverse for chronological export
|
||||
rows.reverse()
|
||||
|
||||
stats = ExportStats(
|
||||
output_path=str(output_path),
|
||||
format="chat_completion",
|
||||
)
|
||||
|
||||
with open(output_path, "w", encoding="utf-8") as fh:
|
||||
for row in rows:
|
||||
perception = row.get("perception_snapshot", {})
|
||||
if not perception:
|
||||
stats.skipped_records += 1
|
||||
continue
|
||||
|
||||
record = {
|
||||
"messages": [
|
||||
{
|
||||
"role": "system",
|
||||
"content": (
|
||||
"You are an autonomous agent navigating a game world. "
|
||||
"Given a perception of the world state, decide what "
|
||||
"command to execute and explain your reasoning."
|
||||
),
|
||||
},
|
||||
{
|
||||
"role": "user",
|
||||
"content": json.dumps(perception),
|
||||
},
|
||||
{
|
||||
"role": "assistant",
|
||||
"content": json.dumps(
|
||||
{
|
||||
"command": row.get("command"),
|
||||
"params": row.get("params", {}),
|
||||
"reasoning": row.get("reasoning", ""),
|
||||
}
|
||||
),
|
||||
},
|
||||
],
|
||||
}
|
||||
fh.write(json.dumps(record) + "\n")
|
||||
stats.total_records += 1
|
||||
|
||||
logger.info(
|
||||
"Exported %d chat-format records to %s (skipped %d)",
|
||||
stats.total_records,
|
||||
output_path,
|
||||
stats.skipped_records,
|
||||
)
|
||||
return stats
|
||||
|
||||
# -- Episode sequences ---------------------------------------------------
|
||||
|
||||
def export_episode_sequences(
|
||||
self,
|
||||
output_dir: str | Path,
|
||||
*,
|
||||
min_length: int = 3,
|
||||
since: datetime | None = None,
|
||||
until: datetime | None = None,
|
||||
) -> ExportStats:
|
||||
"""Export command sequences grouped by episode.
|
||||
|
||||
Each episode is written as a separate JSONL file in *output_dir*.
|
||||
Episodes shorter than *min_length* are skipped.
|
||||
"""
|
||||
output_dir = Path(output_dir)
|
||||
output_dir.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
# Gather all rows (high limit) and group by episode.
|
||||
rows = self._logger.query(since=since, until=until, limit=1_000_000)
|
||||
rows.reverse() # chronological
|
||||
|
||||
episodes: dict[str, list[dict[str, Any]]] = {}
|
||||
for row in rows:
|
||||
ep_id = row.get("episode_id") or "unknown"
|
||||
episodes.setdefault(ep_id, []).append(row)
|
||||
|
||||
stats = ExportStats(
|
||||
output_path=str(output_dir),
|
||||
format="episode_sequence",
|
||||
)
|
||||
|
||||
for ep_id, entries in episodes.items():
|
||||
if len(entries) < min_length:
|
||||
stats.skipped_records += len(entries)
|
||||
continue
|
||||
|
||||
ep_file = output_dir / f"{ep_id}.jsonl"
|
||||
with open(ep_file, "w", encoding="utf-8") as fh:
|
||||
for entry in entries:
|
||||
fh.write(json.dumps(entry, default=str) + "\n")
|
||||
stats.total_records += 1
|
||||
stats.episodes_exported += 1
|
||||
|
||||
logger.info(
|
||||
"Exported %d episodes (%d records) to %s",
|
||||
stats.episodes_exported,
|
||||
stats.total_records,
|
||||
output_dir,
|
||||
)
|
||||
return stats
|
||||
|
||||
# -- Instruction-following format ----------------------------------------
|
||||
|
||||
def export_instruction_format(
|
||||
self,
|
||||
output_path: str | Path,
|
||||
*,
|
||||
since: datetime | None = None,
|
||||
until: datetime | None = None,
|
||||
max_records: int | None = None,
|
||||
) -> ExportStats:
|
||||
"""Export as instruction/response pairs (Alpaca-style).
|
||||
|
||||
Each line has ``instruction``, ``input``, and ``output`` fields.
|
||||
"""
|
||||
output_path = Path(output_path)
|
||||
output_path.parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
rows = self._logger.query(
|
||||
since=since,
|
||||
until=until,
|
||||
limit=max_records or 100_000,
|
||||
)
|
||||
rows.reverse()
|
||||
|
||||
stats = ExportStats(
|
||||
output_path=str(output_path),
|
||||
format="instruction",
|
||||
)
|
||||
|
||||
with open(output_path, "w", encoding="utf-8") as fh:
|
||||
for row in rows:
|
||||
perception = row.get("perception_snapshot", {})
|
||||
if not perception:
|
||||
stats.skipped_records += 1
|
||||
continue
|
||||
|
||||
record = {
|
||||
"instruction": (
|
||||
"Given the following game world perception, decide what "
|
||||
"command to execute. Explain your reasoning."
|
||||
),
|
||||
"input": json.dumps(perception),
|
||||
"output": json.dumps(
|
||||
{
|
||||
"command": row.get("command"),
|
||||
"params": row.get("params", {}),
|
||||
"reasoning": row.get("reasoning", ""),
|
||||
}
|
||||
),
|
||||
}
|
||||
fh.write(json.dumps(record) + "\n")
|
||||
stats.total_records += 1
|
||||
|
||||
logger.info(
|
||||
"Exported %d instruction-format records to %s",
|
||||
stats.total_records,
|
||||
output_path,
|
||||
)
|
||||
return stats
|
||||
20
src/infrastructure/soul/__init__.py
Normal file
20
src/infrastructure/soul/__init__.py
Normal file
@@ -0,0 +1,20 @@
|
||||
"""SOUL.md framework — load, validate, and version agent identity documents.
|
||||
|
||||
Provides:
|
||||
|
||||
- ``SoulLoader`` — parse SOUL.md files into structured data
|
||||
- ``SoulValidator`` — validate structure and check for contradictions
|
||||
- ``SoulVersioner`` — track identity evolution over time
|
||||
"""
|
||||
|
||||
from .loader import SoulDocument, SoulLoader
|
||||
from .validator import SoulValidator, ValidationResult
|
||||
from .versioning import SoulVersioner
|
||||
|
||||
__all__ = [
|
||||
"SoulDocument",
|
||||
"SoulLoader",
|
||||
"SoulValidator",
|
||||
"SoulVersioner",
|
||||
"ValidationResult",
|
||||
]
|
||||
238
src/infrastructure/soul/loader.py
Normal file
238
src/infrastructure/soul/loader.py
Normal file
@@ -0,0 +1,238 @@
|
||||
"""Load and parse SOUL.md files into structured data.
|
||||
|
||||
A SOUL.md is a Markdown file with specific sections that define an agent's
|
||||
identity, values, constraints, and behavior. This loader extracts those
|
||||
sections into a ``SoulDocument`` for programmatic access.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
import re
|
||||
from dataclasses import dataclass, field
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Data model
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
# Recognised H2 section headings (case-insensitive match)
|
||||
REQUIRED_SECTIONS = frozenset({
|
||||
"identity",
|
||||
"values",
|
||||
"prime directive",
|
||||
"audience awareness",
|
||||
"constraints",
|
||||
})
|
||||
|
||||
OPTIONAL_SECTIONS = frozenset({
|
||||
"behavior",
|
||||
"boundaries",
|
||||
})
|
||||
|
||||
ALL_SECTIONS = REQUIRED_SECTIONS | OPTIONAL_SECTIONS
|
||||
|
||||
|
||||
@dataclass
|
||||
class SoulDocument:
|
||||
"""Parsed representation of a SOUL.md file."""
|
||||
|
||||
# Header paragraph (text before the first H2)
|
||||
preamble: str = ""
|
||||
|
||||
# Identity fields
|
||||
name: str = ""
|
||||
role: str = ""
|
||||
lineage: str = ""
|
||||
version: str = ""
|
||||
|
||||
# Ordered list of (value_name, definition) pairs
|
||||
values: list[tuple[str, str]] = field(default_factory=list)
|
||||
|
||||
# Prime directive — single sentence
|
||||
prime_directive: str = ""
|
||||
|
||||
# Audience awareness
|
||||
audience: dict[str, str] = field(default_factory=dict)
|
||||
|
||||
# Constraints — ordered list
|
||||
constraints: list[str] = field(default_factory=list)
|
||||
|
||||
# Optional sections
|
||||
behavior: list[str] = field(default_factory=list)
|
||||
boundaries: list[str] = field(default_factory=list)
|
||||
|
||||
# Raw section text keyed by lowercase heading
|
||||
raw_sections: dict[str, str] = field(default_factory=dict)
|
||||
|
||||
# Source path (if loaded from file)
|
||||
source_path: Path | None = None
|
||||
|
||||
def value_names(self) -> list[str]:
|
||||
"""Return the ordered list of value names."""
|
||||
return [name for name, _ in self.values]
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Parser helpers
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
_H1_RE = re.compile(r"^#\s+(.+)", re.MULTILINE)
|
||||
_H2_RE = re.compile(r"^##\s+(.+)", re.MULTILINE)
|
||||
_BOLD_ITEM_RE = re.compile(r"^(?:[-*]\s+)?\*\*(.+?)[.*]*\*\*\.?\s*(.*)", re.MULTILINE)
|
||||
_LIST_ITEM_RE = re.compile(r"^[-*]\s+\*\*(.+?):?\*\*\s*(.*)", re.MULTILINE)
|
||||
_NUMBERED_RE = re.compile(r"^\d+\.\s+(.+)", re.MULTILINE)
|
||||
_BULLET_RE = re.compile(r"^[-*]\s+(.+)", re.MULTILINE)
|
||||
|
||||
|
||||
def _split_sections(text: str) -> tuple[str, dict[str, str]]:
|
||||
"""Split markdown into preamble + dict of H2 sections."""
|
||||
parts = _H2_RE.split(text)
|
||||
|
||||
# parts[0] is text before first H2 (preamble)
|
||||
preamble = parts[0].strip() if parts else ""
|
||||
sections: dict[str, str] = {}
|
||||
|
||||
# Remaining parts alternate: heading, body, heading, body, ...
|
||||
for i in range(1, len(parts), 2):
|
||||
heading = parts[i].strip().lower()
|
||||
body = parts[i + 1].strip() if i + 1 < len(parts) else ""
|
||||
sections[heading] = body
|
||||
|
||||
return preamble, sections
|
||||
|
||||
|
||||
def _parse_identity(text: str) -> dict[str, str]:
|
||||
"""Extract identity key-value pairs from section text."""
|
||||
result: dict[str, str] = {}
|
||||
for match in _LIST_ITEM_RE.finditer(text):
|
||||
key = match.group(1).strip().lower()
|
||||
value = match.group(2).strip()
|
||||
result[key] = value
|
||||
return result
|
||||
|
||||
|
||||
def _parse_values(text: str) -> list[tuple[str, str]]:
|
||||
"""Extract ordered (name, definition) pairs from the values section."""
|
||||
values: list[tuple[str, str]] = []
|
||||
for match in _BOLD_ITEM_RE.finditer(text):
|
||||
name = match.group(1).strip().rstrip(".")
|
||||
defn = match.group(2).strip()
|
||||
values.append((name, defn))
|
||||
return values
|
||||
|
||||
|
||||
def _parse_list(text: str) -> list[str]:
|
||||
"""Extract a flat list from numbered or bulleted items."""
|
||||
items: list[str] = []
|
||||
for match in _NUMBERED_RE.finditer(text):
|
||||
items.append(match.group(1).strip())
|
||||
if not items:
|
||||
for match in _BULLET_RE.finditer(text):
|
||||
items.append(match.group(1).strip())
|
||||
return items
|
||||
|
||||
|
||||
def _parse_audience(text: str) -> dict[str, str]:
|
||||
"""Extract audience key-value pairs."""
|
||||
result: dict[str, str] = {}
|
||||
for match in _LIST_ITEM_RE.finditer(text):
|
||||
key = match.group(1).strip().lower()
|
||||
value = match.group(2).strip()
|
||||
result[key] = value
|
||||
# Fallback: if no structured items, store raw text
|
||||
if not result and text.strip():
|
||||
result["description"] = text.strip()
|
||||
return result
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Loader
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class SoulLoader:
|
||||
"""Load and parse SOUL.md files."""
|
||||
|
||||
def load(self, path: str | Path) -> SoulDocument:
|
||||
"""Load a SOUL.md file from disk and parse it.
|
||||
|
||||
Args:
|
||||
path: Path to the SOUL.md file.
|
||||
|
||||
Returns:
|
||||
Parsed ``SoulDocument``.
|
||||
|
||||
Raises:
|
||||
FileNotFoundError: If the file does not exist.
|
||||
"""
|
||||
path = Path(path)
|
||||
if not path.exists():
|
||||
raise FileNotFoundError(f"SOUL.md not found: {path}")
|
||||
|
||||
text = path.read_text(encoding="utf-8")
|
||||
doc = self.parse(text)
|
||||
doc.source_path = path
|
||||
return doc
|
||||
|
||||
def parse(self, text: str) -> SoulDocument:
|
||||
"""Parse raw markdown text into a ``SoulDocument``.
|
||||
|
||||
Args:
|
||||
text: Raw SOUL.md content.
|
||||
|
||||
Returns:
|
||||
Parsed ``SoulDocument``.
|
||||
"""
|
||||
preamble, sections = _split_sections(text)
|
||||
doc = SoulDocument(preamble=preamble, raw_sections=sections)
|
||||
|
||||
# Identity
|
||||
if "identity" in sections:
|
||||
identity = _parse_identity(sections["identity"])
|
||||
doc.name = identity.get("name", "")
|
||||
doc.role = identity.get("role", "")
|
||||
doc.lineage = identity.get("lineage", "")
|
||||
doc.version = identity.get("version", "")
|
||||
|
||||
# Values
|
||||
if "values" in sections:
|
||||
doc.values = _parse_values(sections["values"])
|
||||
|
||||
# Prime Directive
|
||||
if "prime directive" in sections:
|
||||
doc.prime_directive = sections["prime directive"].strip()
|
||||
|
||||
# Audience Awareness
|
||||
if "audience awareness" in sections:
|
||||
doc.audience = _parse_audience(sections["audience awareness"])
|
||||
|
||||
# Constraints
|
||||
if "constraints" in sections:
|
||||
doc.constraints = _parse_list(sections["constraints"])
|
||||
|
||||
# Behavior (optional)
|
||||
if "behavior" in sections:
|
||||
doc.behavior = _parse_list(sections["behavior"])
|
||||
|
||||
# Boundaries (optional)
|
||||
if "boundaries" in sections:
|
||||
doc.boundaries = _parse_list(sections["boundaries"])
|
||||
|
||||
# Infer name from H1 if not in Identity section
|
||||
if not doc.name:
|
||||
h1_match = _H1_RE.search(preamble)
|
||||
if h1_match:
|
||||
title = h1_match.group(1).strip()
|
||||
# "Timmy — Soul Identity" → "Timmy"
|
||||
if "—" in title:
|
||||
doc.name = title.split("—")[0].strip()
|
||||
elif "-" in title:
|
||||
doc.name = title.split("-")[0].strip()
|
||||
else:
|
||||
doc.name = title
|
||||
|
||||
return doc
|
||||
192
src/infrastructure/soul/validator.py
Normal file
192
src/infrastructure/soul/validator.py
Normal file
@@ -0,0 +1,192 @@
|
||||
"""Validate SOUL.md structure and check for contradictions.
|
||||
|
||||
The validator checks:
|
||||
1. All required sections are present
|
||||
2. Identity fields are populated
|
||||
3. Values are well-formed and ordered
|
||||
4. Constraints don't contradict each other or values
|
||||
5. No duplicate values or constraints
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import logging
|
||||
import re
|
||||
from dataclasses import dataclass, field
|
||||
|
||||
from .loader import REQUIRED_SECTIONS, SoulDocument
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Contradiction patterns
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
# Pairs of phrases that indicate contradictory directives.
|
||||
# Each tuple is (pattern_a, pattern_b) — if both appear in constraints
|
||||
# or values, the validator flags a potential contradiction.
|
||||
_CONTRADICTION_PAIRS: list[tuple[str, str]] = [
|
||||
("always respond immediately", "take time to think"),
|
||||
("never refuse", "refuse when"),
|
||||
("always obey", "push back"),
|
||||
("maximum verbosity", "brevity"),
|
||||
("never question", "question everything"),
|
||||
("act autonomously", "always ask permission"),
|
||||
("hide errors", "report all errors"),
|
||||
("never apologize", "apologize when wrong"),
|
||||
]
|
||||
|
||||
# Negation patterns for detecting self-contradicting single statements
|
||||
_NEGATION_RE = re.compile(
|
||||
r"\b(never|always|must not|must|do not|cannot)\b", re.IGNORECASE
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Result model
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@dataclass
|
||||
class ValidationResult:
|
||||
"""Outcome of a SOUL.md validation pass."""
|
||||
|
||||
valid: bool = True
|
||||
errors: list[str] = field(default_factory=list)
|
||||
warnings: list[str] = field(default_factory=list)
|
||||
|
||||
def add_error(self, msg: str) -> None:
|
||||
"""Record a validation error (makes result invalid)."""
|
||||
self.errors.append(msg)
|
||||
self.valid = False
|
||||
|
||||
def add_warning(self, msg: str) -> None:
|
||||
"""Record a non-fatal warning."""
|
||||
self.warnings.append(msg)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Validator
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class SoulValidator:
|
||||
"""Validate a ``SoulDocument`` for structural and semantic issues."""
|
||||
|
||||
def validate(self, doc: SoulDocument) -> ValidationResult:
|
||||
"""Run all validation checks on a parsed SOUL.md.
|
||||
|
||||
Args:
|
||||
doc: Parsed ``SoulDocument`` to validate.
|
||||
|
||||
Returns:
|
||||
``ValidationResult`` with errors and warnings.
|
||||
"""
|
||||
result = ValidationResult()
|
||||
|
||||
self._check_required_sections(doc, result)
|
||||
self._check_identity(doc, result)
|
||||
self._check_values(doc, result)
|
||||
self._check_prime_directive(doc, result)
|
||||
self._check_constraints(doc, result)
|
||||
self._check_contradictions(doc, result)
|
||||
|
||||
return result
|
||||
|
||||
def _check_required_sections(
|
||||
self, doc: SoulDocument, result: ValidationResult
|
||||
) -> None:
|
||||
"""Verify all required H2 sections are present."""
|
||||
present = set(doc.raw_sections.keys())
|
||||
for section in REQUIRED_SECTIONS:
|
||||
if section not in present:
|
||||
result.add_error(f"Missing required section: '{section}'")
|
||||
|
||||
def _check_identity(self, doc: SoulDocument, result: ValidationResult) -> None:
|
||||
"""Verify identity fields are populated."""
|
||||
if not doc.name:
|
||||
result.add_error("Identity: 'name' is missing or empty")
|
||||
if not doc.role:
|
||||
result.add_error("Identity: 'role' is missing or empty")
|
||||
if not doc.version:
|
||||
result.add_warning("Identity: 'version' is not set — recommended for tracking")
|
||||
|
||||
def _check_values(self, doc: SoulDocument, result: ValidationResult) -> None:
|
||||
"""Check values are well-formed."""
|
||||
if not doc.values:
|
||||
result.add_error("Values section is empty — at least one value required")
|
||||
return
|
||||
|
||||
if len(doc.values) > 8:
|
||||
result.add_warning(
|
||||
f"Too many values ({len(doc.values)}) — "
|
||||
"consider prioritizing to 3–6 for clarity"
|
||||
)
|
||||
|
||||
# Check for duplicates
|
||||
names = [name.lower() for name, _ in doc.values]
|
||||
seen: set[str] = set()
|
||||
for name in names:
|
||||
if name in seen:
|
||||
result.add_error(f"Duplicate value: '{name}'")
|
||||
seen.add(name)
|
||||
|
||||
# Check for empty definitions
|
||||
for name, defn in doc.values:
|
||||
if not defn.strip():
|
||||
result.add_warning(f"Value '{name}' has no definition")
|
||||
|
||||
def _check_prime_directive(
|
||||
self, doc: SoulDocument, result: ValidationResult
|
||||
) -> None:
|
||||
"""Check the prime directive is present and concise."""
|
||||
if not doc.prime_directive:
|
||||
result.add_error("Prime directive is missing or empty")
|
||||
return
|
||||
|
||||
# Warn if excessively long (more than ~200 chars suggests multiple sentences)
|
||||
if len(doc.prime_directive) > 300:
|
||||
result.add_warning(
|
||||
"Prime directive is long — consider condensing to a single sentence"
|
||||
)
|
||||
|
||||
def _check_constraints(
|
||||
self, doc: SoulDocument, result: ValidationResult
|
||||
) -> None:
|
||||
"""Check constraints are present and not duplicated."""
|
||||
if not doc.constraints:
|
||||
result.add_warning("No constraints defined — consider adding hard rules")
|
||||
return
|
||||
|
||||
# Check for duplicates (fuzzy: lowercase + stripped)
|
||||
normalized = [c.lower().strip() for c in doc.constraints]
|
||||
seen: set[str] = set()
|
||||
for i, norm in enumerate(normalized):
|
||||
if norm in seen:
|
||||
result.add_warning(
|
||||
f"Possible duplicate constraint: '{doc.constraints[i]}'"
|
||||
)
|
||||
seen.add(norm)
|
||||
|
||||
def _check_contradictions(
|
||||
self, doc: SoulDocument, result: ValidationResult
|
||||
) -> None:
|
||||
"""Scan for contradictory directives across values, constraints, and boundaries."""
|
||||
# Collect all directive text for scanning
|
||||
all_text: list[str] = []
|
||||
for _, defn in doc.values:
|
||||
all_text.append(defn.lower())
|
||||
for constraint in doc.constraints:
|
||||
all_text.append(constraint.lower())
|
||||
for boundary in doc.boundaries:
|
||||
all_text.append(boundary.lower())
|
||||
if doc.prime_directive:
|
||||
all_text.append(doc.prime_directive.lower())
|
||||
|
||||
combined = " ".join(all_text)
|
||||
|
||||
for pattern_a, pattern_b in _CONTRADICTION_PAIRS:
|
||||
if pattern_a.lower() in combined and pattern_b.lower() in combined:
|
||||
result.add_warning(
|
||||
f"Potential contradiction: '{pattern_a}' conflicts with '{pattern_b}'"
|
||||
)
|
||||
162
src/infrastructure/soul/versioning.py
Normal file
162
src/infrastructure/soul/versioning.py
Normal file
@@ -0,0 +1,162 @@
|
||||
"""Track SOUL.md version history using content hashing.
|
||||
|
||||
Each version snapshot stores the document hash, version string, and a
|
||||
timestamp. This allows detecting identity drift and auditing changes
|
||||
over time without requiring git history.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import hashlib
|
||||
import json
|
||||
import logging
|
||||
from dataclasses import asdict, dataclass, field
|
||||
from datetime import UTC, datetime
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
from .loader import SoulDocument
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
DEFAULT_HISTORY_DIR = Path("data/soul_versions")
|
||||
|
||||
|
||||
@dataclass
|
||||
class VersionSnapshot:
|
||||
"""A single point-in-time record of a SOUL.md state."""
|
||||
|
||||
version: str
|
||||
content_hash: str
|
||||
agent_name: str
|
||||
timestamp: str
|
||||
value_names: list[str] = field(default_factory=list)
|
||||
constraint_count: int = 0
|
||||
source_path: str = ""
|
||||
|
||||
def to_dict(self) -> dict[str, Any]:
|
||||
"""Serialize to a JSON-compatible dict."""
|
||||
return asdict(self)
|
||||
|
||||
@classmethod
|
||||
def from_dict(cls, data: dict[str, Any]) -> VersionSnapshot:
|
||||
"""Deserialize from a dict."""
|
||||
return cls(**data)
|
||||
|
||||
|
||||
class SoulVersioner:
|
||||
"""Track and query SOUL.md version history.
|
||||
|
||||
Snapshots are stored as a JSON Lines file per agent. Each line is a
|
||||
``VersionSnapshot`` recording the state at a point in time.
|
||||
|
||||
Args:
|
||||
history_dir: Directory to store version history files.
|
||||
"""
|
||||
|
||||
def __init__(self, history_dir: str | Path | None = None) -> None:
|
||||
self._history_dir = Path(history_dir) if history_dir else DEFAULT_HISTORY_DIR
|
||||
|
||||
def snapshot(self, doc: SoulDocument) -> VersionSnapshot:
|
||||
"""Create a version snapshot from the current document state.
|
||||
|
||||
Args:
|
||||
doc: Parsed ``SoulDocument``.
|
||||
|
||||
Returns:
|
||||
``VersionSnapshot`` capturing the current state.
|
||||
"""
|
||||
# Hash the raw section content for change detection
|
||||
raw_content = json.dumps(doc.raw_sections, sort_keys=True)
|
||||
content_hash = hashlib.sha256(raw_content.encode("utf-8")).hexdigest()[:16]
|
||||
|
||||
return VersionSnapshot(
|
||||
version=doc.version or "0.0.0",
|
||||
content_hash=content_hash,
|
||||
agent_name=doc.name or "unknown",
|
||||
timestamp=datetime.now(UTC).isoformat(),
|
||||
value_names=doc.value_names(),
|
||||
constraint_count=len(doc.constraints),
|
||||
source_path=str(doc.source_path) if doc.source_path else "",
|
||||
)
|
||||
|
||||
def record(self, doc: SoulDocument) -> VersionSnapshot:
|
||||
"""Create a snapshot and persist it to the history file.
|
||||
|
||||
Skips writing if the latest snapshot has the same content hash
|
||||
(no actual changes).
|
||||
|
||||
Args:
|
||||
doc: Parsed ``SoulDocument``.
|
||||
|
||||
Returns:
|
||||
The ``VersionSnapshot`` (whether newly written or existing).
|
||||
"""
|
||||
snap = self.snapshot(doc)
|
||||
|
||||
# Check if latest snapshot is identical
|
||||
history = self.get_history(snap.agent_name)
|
||||
if history and history[-1].content_hash == snap.content_hash:
|
||||
logger.debug(
|
||||
"SOUL.md unchanged for %s (hash=%s), skipping record",
|
||||
snap.agent_name,
|
||||
snap.content_hash,
|
||||
)
|
||||
return history[-1]
|
||||
|
||||
# Persist
|
||||
self._history_dir.mkdir(parents=True, exist_ok=True)
|
||||
history_file = self._history_dir / f"{snap.agent_name.lower()}.jsonl"
|
||||
|
||||
with open(history_file, "a", encoding="utf-8") as fh:
|
||||
fh.write(json.dumps(snap.to_dict()) + "\n")
|
||||
|
||||
logger.info(
|
||||
"Recorded SOUL.md version %s for %s (hash=%s)",
|
||||
snap.version,
|
||||
snap.agent_name,
|
||||
snap.content_hash,
|
||||
)
|
||||
return snap
|
||||
|
||||
def get_history(self, agent_name: str) -> list[VersionSnapshot]:
|
||||
"""Load the full version history for an agent.
|
||||
|
||||
Args:
|
||||
agent_name: Name of the agent.
|
||||
|
||||
Returns:
|
||||
List of ``VersionSnapshot`` in chronological order.
|
||||
"""
|
||||
history_file = self._history_dir / f"{agent_name.lower()}.jsonl"
|
||||
if not history_file.exists():
|
||||
return []
|
||||
|
||||
snapshots: list[VersionSnapshot] = []
|
||||
for line in history_file.read_text(encoding="utf-8").splitlines():
|
||||
line = line.strip()
|
||||
if not line:
|
||||
continue
|
||||
try:
|
||||
data = json.loads(line)
|
||||
snapshots.append(VersionSnapshot.from_dict(data))
|
||||
except (json.JSONDecodeError, TypeError) as exc:
|
||||
logger.warning("Skipping malformed version record: %s", exc)
|
||||
|
||||
return snapshots
|
||||
|
||||
def has_changed(self, doc: SoulDocument) -> bool:
|
||||
"""Check whether a document has changed since the last recorded snapshot.
|
||||
|
||||
Args:
|
||||
doc: Parsed ``SoulDocument``.
|
||||
|
||||
Returns:
|
||||
True if the content hash differs from the latest snapshot, or
|
||||
if no history exists yet.
|
||||
"""
|
||||
snap = self.snapshot(doc)
|
||||
history = self.get_history(snap.agent_name)
|
||||
if not history:
|
||||
return True
|
||||
return history[-1].content_hash != snap.content_hash
|
||||
@@ -489,5 +489,43 @@ def focus(
|
||||
typer.echo("No active focus (broad mode).")
|
||||
|
||||
|
||||
@app.command(name="healthcheck")
|
||||
def healthcheck(
|
||||
json_output: bool = typer.Option(False, "--json", "-j", help="Output as JSON"),
|
||||
verbose: bool = typer.Option(
|
||||
False, "--verbose", "-v", help="Show verbose output including issue details"
|
||||
),
|
||||
quiet: bool = typer.Option(False, "--quiet", "-q", help="Only show status line (no details)"),
|
||||
):
|
||||
"""Quick health snapshot before coding.
|
||||
|
||||
Shows CI status, critical issues (P0/P1), test flakiness, and token economy.
|
||||
Fast execution (< 5 seconds) for pre-work checks.
|
||||
|
||||
Refs: #710
|
||||
"""
|
||||
import subprocess
|
||||
import sys
|
||||
from pathlib import Path
|
||||
|
||||
script_path = (
|
||||
Path(__file__).resolve().parent.parent.parent
|
||||
/ "timmy_automations"
|
||||
/ "daily_run"
|
||||
/ "health_snapshot.py"
|
||||
)
|
||||
|
||||
cmd = [sys.executable, str(script_path)]
|
||||
if json_output:
|
||||
cmd.append("--json")
|
||||
if verbose:
|
||||
cmd.append("--verbose")
|
||||
if quiet:
|
||||
cmd.append("--quiet")
|
||||
|
||||
result = subprocess.run(cmd)
|
||||
raise typer.Exit(result.returncode)
|
||||
|
||||
|
||||
def main():
|
||||
app()
|
||||
|
||||
@@ -13,11 +13,121 @@
|
||||
<div class="mood" id="mood-text">focused</div>
|
||||
</div>
|
||||
<div id="connection-dot"></div>
|
||||
<button id="info-btn" class="info-button" aria-label="About The Matrix" title="About The Matrix">
|
||||
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<circle cx="12" cy="12" r="10"></circle>
|
||||
<line x1="12" y1="16" x2="12" y2="12"></line>
|
||||
<line x1="12" y1="8" x2="12.01" y2="8"></line>
|
||||
</svg>
|
||||
</button>
|
||||
<button id="submit-job-btn" class="submit-job-button" aria-label="Submit Job" title="Submit Job">
|
||||
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<path d="M12 5v14M5 12h14"></path>
|
||||
</svg>
|
||||
<span>Job</span>
|
||||
</button>
|
||||
<div id="speech-area">
|
||||
<div class="bubble" id="speech-bubble"></div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- Submit Job Modal -->
|
||||
<div id="submit-job-modal" class="submit-job-modal">
|
||||
<div class="submit-job-content">
|
||||
<button id="submit-job-close" class="submit-job-close" aria-label="Close">
|
||||
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<line x1="18" y1="6" x2="6" y2="18"></line>
|
||||
<line x1="6" y1="6" x2="18" y2="18"></line>
|
||||
</svg>
|
||||
</button>
|
||||
<h2>Submit Job</h2>
|
||||
<p class="submit-job-subtitle">Create a task for Timmy and the agent swarm</p>
|
||||
|
||||
<form id="submit-job-form" class="submit-job-form">
|
||||
<div class="form-group">
|
||||
<label for="job-title">Title <span class="required">*</span></label>
|
||||
<input type="text" id="job-title" name="title" placeholder="Brief description of the task" maxlength="200">
|
||||
<div class="char-count" id="title-char-count">0 / 200</div>
|
||||
<div class="validation-error" id="title-error"></div>
|
||||
</div>
|
||||
|
||||
<div class="form-group">
|
||||
<label for="job-description">Description</label>
|
||||
<textarea id="job-description" name="description" placeholder="Detailed instructions, requirements, and context..." rows="6" maxlength="2000"></textarea>
|
||||
<div class="char-count" id="desc-char-count">0 / 2000</div>
|
||||
<div class="validation-warning" id="desc-warning"></div>
|
||||
<div class="validation-error" id="desc-error"></div>
|
||||
</div>
|
||||
|
||||
<div class="form-group">
|
||||
<label for="job-priority">Priority</label>
|
||||
<select id="job-priority" name="priority">
|
||||
<option value="low">Low</option>
|
||||
<option value="medium" selected>Medium</option>
|
||||
<option value="high">High</option>
|
||||
<option value="urgent">Urgent</option>
|
||||
</select>
|
||||
</div>
|
||||
|
||||
<div class="submit-job-actions">
|
||||
<button type="button" id="cancel-job-btn" class="btn-secondary">Cancel</button>
|
||||
<button type="submit" id="submit-job-submit" class="btn-primary" disabled>Submit Job</button>
|
||||
</div>
|
||||
</form>
|
||||
|
||||
<div id="submit-job-success" class="submit-job-success hidden">
|
||||
<div class="success-icon">
|
||||
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<path d="M22 11.08V12a10 10 0 1 1-5.93-9.14"></path>
|
||||
<polyline points="22 4 12 14.01 9 11.01"></polyline>
|
||||
</svg>
|
||||
</div>
|
||||
<h3>Job Submitted!</h3>
|
||||
<p>Your task has been added to the queue. Timmy will review it shortly.</p>
|
||||
<button type="button" id="submit-another-btn" class="btn-primary">Submit Another</button>
|
||||
</div>
|
||||
</div>
|
||||
<div id="submit-job-backdrop" class="submit-job-backdrop"></div>
|
||||
</div>
|
||||
|
||||
<!-- About Panel -->
|
||||
<div id="about-panel" class="about-panel">
|
||||
<div class="about-panel-content">
|
||||
<button id="about-close" class="about-close" aria-label="Close">
|
||||
<svg viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round">
|
||||
<line x1="18" y1="6" x2="6" y2="18"></line>
|
||||
<line x1="6" y1="6" x2="18" y2="18"></line>
|
||||
</svg>
|
||||
</button>
|
||||
<h2>Welcome to The Matrix</h2>
|
||||
|
||||
<section>
|
||||
<h3>🌌 The Matrix</h3>
|
||||
<p>The Matrix is a 3D visualization of Timmy's AI agent workspace. Enter the workshop to see Timmy at work—pondering the arcane arts of code, managing tasks, and orchestrating autonomous agents in real-time.</p>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<h3>🛠️ The Workshop</h3>
|
||||
<p>The Workshop is where you interact directly with Timmy:</p>
|
||||
<ul>
|
||||
<li><strong>Submit Jobs</strong> — Create tasks, delegate work, and track progress</li>
|
||||
<li><strong>Chat with Agents</strong> — Converse with Timmy and his swarm of specialized agents</li>
|
||||
<li><strong>Fund Sessions</strong> — Power your work with satoshis via Lightning Network</li>
|
||||
</ul>
|
||||
</section>
|
||||
|
||||
<section>
|
||||
<h3>⚡ Lightning & Sats</h3>
|
||||
<p>The Matrix runs on Bitcoin. Sessions are funded with satoshis (sats) over the Lightning Network—enabling fast, cheap micropayments that keep Timmy energized and working for you. No subscriptions, no limits—pay as you go.</p>
|
||||
</section>
|
||||
|
||||
<div class="about-footer">
|
||||
<span>Sovereign AI · Soul on Bitcoin</span>
|
||||
</div>
|
||||
</div>
|
||||
<div id="about-backdrop" class="about-backdrop"></div>
|
||||
</div>
|
||||
|
||||
<script type="importmap">
|
||||
{
|
||||
"imports": {
|
||||
@@ -74,6 +184,271 @@
|
||||
});
|
||||
stateReader.connect();
|
||||
|
||||
// --- About Panel ---
|
||||
const infoBtn = document.getElementById("info-btn");
|
||||
const aboutPanel = document.getElementById("about-panel");
|
||||
const aboutClose = document.getElementById("about-close");
|
||||
const aboutBackdrop = document.getElementById("about-backdrop");
|
||||
|
||||
function openAboutPanel() {
|
||||
aboutPanel.classList.add("open");
|
||||
document.body.style.overflow = "hidden";
|
||||
}
|
||||
|
||||
function closeAboutPanel() {
|
||||
aboutPanel.classList.remove("open");
|
||||
document.body.style.overflow = "";
|
||||
}
|
||||
|
||||
infoBtn.addEventListener("click", openAboutPanel);
|
||||
aboutClose.addEventListener("click", closeAboutPanel);
|
||||
aboutBackdrop.addEventListener("click", closeAboutPanel);
|
||||
|
||||
// Close on Escape key
|
||||
document.addEventListener("keydown", (e) => {
|
||||
if (e.key === "Escape" && aboutPanel.classList.contains("open")) {
|
||||
closeAboutPanel();
|
||||
}
|
||||
});
|
||||
|
||||
// --- Submit Job Modal ---
|
||||
const submitJobBtn = document.getElementById("submit-job-btn");
|
||||
const submitJobModal = document.getElementById("submit-job-modal");
|
||||
const submitJobClose = document.getElementById("submit-job-close");
|
||||
const submitJobBackdrop = document.getElementById("submit-job-backdrop");
|
||||
const cancelJobBtn = document.getElementById("cancel-job-btn");
|
||||
const submitJobForm = document.getElementById("submit-job-form");
|
||||
const submitJobSubmit = document.getElementById("submit-job-submit");
|
||||
const jobTitle = document.getElementById("job-title");
|
||||
const jobDescription = document.getElementById("job-description");
|
||||
const titleCharCount = document.getElementById("title-char-count");
|
||||
const descCharCount = document.getElementById("desc-char-count");
|
||||
const titleError = document.getElementById("title-error");
|
||||
const descError = document.getElementById("desc-error");
|
||||
const descWarning = document.getElementById("desc-warning");
|
||||
const submitJobSuccess = document.getElementById("submit-job-success");
|
||||
const submitAnotherBtn = document.getElementById("submit-another-btn");
|
||||
|
||||
// Constants
|
||||
const MAX_TITLE_LENGTH = 200;
|
||||
const MAX_DESC_LENGTH = 2000;
|
||||
const TITLE_WARNING_THRESHOLD = 150;
|
||||
const DESC_WARNING_THRESHOLD = 1800;
|
||||
|
||||
function openSubmitJobModal() {
|
||||
submitJobModal.classList.add("open");
|
||||
document.body.style.overflow = "hidden";
|
||||
jobTitle.focus();
|
||||
validateForm();
|
||||
}
|
||||
|
||||
function closeSubmitJobModal() {
|
||||
submitJobModal.classList.remove("open");
|
||||
document.body.style.overflow = "";
|
||||
// Reset form after animation
|
||||
setTimeout(() => {
|
||||
resetForm();
|
||||
}, 300);
|
||||
}
|
||||
|
||||
function resetForm() {
|
||||
submitJobForm.reset();
|
||||
submitJobForm.classList.remove("hidden");
|
||||
submitJobSuccess.classList.add("hidden");
|
||||
updateCharCounts();
|
||||
clearErrors();
|
||||
validateForm();
|
||||
}
|
||||
|
||||
function clearErrors() {
|
||||
titleError.textContent = "";
|
||||
titleError.classList.remove("visible");
|
||||
descError.textContent = "";
|
||||
descError.classList.remove("visible");
|
||||
descWarning.textContent = "";
|
||||
descWarning.classList.remove("visible");
|
||||
jobTitle.classList.remove("error");
|
||||
jobDescription.classList.remove("error");
|
||||
}
|
||||
|
||||
function updateCharCounts() {
|
||||
const titleLen = jobTitle.value.length;
|
||||
const descLen = jobDescription.value.length;
|
||||
|
||||
titleCharCount.textContent = `${titleLen} / ${MAX_TITLE_LENGTH}`;
|
||||
descCharCount.textContent = `${descLen} / ${MAX_DESC_LENGTH}`;
|
||||
|
||||
// Update color based on thresholds
|
||||
if (titleLen > MAX_TITLE_LENGTH) {
|
||||
titleCharCount.classList.add("over-limit");
|
||||
} else if (titleLen > TITLE_WARNING_THRESHOLD) {
|
||||
titleCharCount.classList.add("near-limit");
|
||||
titleCharCount.classList.remove("over-limit");
|
||||
} else {
|
||||
titleCharCount.classList.remove("near-limit", "over-limit");
|
||||
}
|
||||
|
||||
if (descLen > MAX_DESC_LENGTH) {
|
||||
descCharCount.classList.add("over-limit");
|
||||
} else if (descLen > DESC_WARNING_THRESHOLD) {
|
||||
descCharCount.classList.add("near-limit");
|
||||
descCharCount.classList.remove("over-limit");
|
||||
} else {
|
||||
descCharCount.classList.remove("near-limit", "over-limit");
|
||||
}
|
||||
}
|
||||
|
||||
function validateTitle() {
|
||||
const value = jobTitle.value.trim();
|
||||
const length = jobTitle.value.length;
|
||||
|
||||
if (length > MAX_TITLE_LENGTH) {
|
||||
titleError.textContent = `Title must be ${MAX_TITLE_LENGTH} characters or less`;
|
||||
titleError.classList.add("visible");
|
||||
jobTitle.classList.add("error");
|
||||
return false;
|
||||
}
|
||||
|
||||
if (value === "") {
|
||||
titleError.textContent = "Title is required";
|
||||
titleError.classList.add("visible");
|
||||
jobTitle.classList.add("error");
|
||||
return false;
|
||||
}
|
||||
|
||||
titleError.textContent = "";
|
||||
titleError.classList.remove("visible");
|
||||
jobTitle.classList.remove("error");
|
||||
return true;
|
||||
}
|
||||
|
||||
function validateDescription() {
|
||||
const length = jobDescription.value.length;
|
||||
|
||||
if (length > MAX_DESC_LENGTH) {
|
||||
descError.textContent = `Description must be ${MAX_DESC_LENGTH} characters or less`;
|
||||
descError.classList.add("visible");
|
||||
descWarning.textContent = "";
|
||||
descWarning.classList.remove("visible");
|
||||
jobDescription.classList.add("error");
|
||||
return false;
|
||||
}
|
||||
|
||||
// Show warning when near limit
|
||||
if (length > DESC_WARNING_THRESHOLD && length <= MAX_DESC_LENGTH) {
|
||||
const remaining = MAX_DESC_LENGTH - length;
|
||||
descWarning.textContent = `${remaining} characters remaining`;
|
||||
descWarning.classList.add("visible");
|
||||
} else {
|
||||
descWarning.textContent = "";
|
||||
descWarning.classList.remove("visible");
|
||||
}
|
||||
|
||||
descError.textContent = "";
|
||||
descError.classList.remove("visible");
|
||||
jobDescription.classList.remove("error");
|
||||
return true;
|
||||
}
|
||||
|
||||
function validateForm() {
|
||||
const titleValid = jobTitle.value.trim() !== "" && jobTitle.value.length <= MAX_TITLE_LENGTH;
|
||||
const descValid = jobDescription.value.length <= MAX_DESC_LENGTH;
|
||||
|
||||
submitJobSubmit.disabled = !(titleValid && descValid);
|
||||
}
|
||||
|
||||
// Event listeners
|
||||
submitJobBtn.addEventListener("click", openSubmitJobModal);
|
||||
submitJobClose.addEventListener("click", closeSubmitJobModal);
|
||||
submitJobBackdrop.addEventListener("click", closeSubmitJobModal);
|
||||
cancelJobBtn.addEventListener("click", closeSubmitJobModal);
|
||||
submitAnotherBtn.addEventListener("click", resetForm);
|
||||
|
||||
// Input event listeners for real-time validation
|
||||
jobTitle.addEventListener("input", () => {
|
||||
updateCharCounts();
|
||||
validateForm();
|
||||
if (titleError.classList.contains("visible")) {
|
||||
validateTitle();
|
||||
}
|
||||
});
|
||||
|
||||
jobTitle.addEventListener("blur", () => {
|
||||
if (jobTitle.value.trim() !== "" || titleError.classList.contains("visible")) {
|
||||
validateTitle();
|
||||
}
|
||||
});
|
||||
|
||||
jobDescription.addEventListener("input", () => {
|
||||
updateCharCounts();
|
||||
validateForm();
|
||||
if (descError.classList.contains("visible")) {
|
||||
validateDescription();
|
||||
}
|
||||
});
|
||||
|
||||
jobDescription.addEventListener("blur", () => {
|
||||
validateDescription();
|
||||
});
|
||||
|
||||
// Form submission
|
||||
submitJobForm.addEventListener("submit", async (e) => {
|
||||
e.preventDefault();
|
||||
|
||||
const isTitleValid = validateTitle();
|
||||
const isDescValid = validateDescription();
|
||||
|
||||
if (!isTitleValid || !isDescValid) {
|
||||
return;
|
||||
}
|
||||
|
||||
// Disable submit button while processing
|
||||
submitJobSubmit.disabled = true;
|
||||
submitJobSubmit.textContent = "Submitting...";
|
||||
|
||||
const formData = {
|
||||
title: jobTitle.value.trim(),
|
||||
description: jobDescription.value.trim(),
|
||||
priority: document.getElementById("job-priority").value,
|
||||
submitted_at: new Date().toISOString()
|
||||
};
|
||||
|
||||
try {
|
||||
// Submit to API
|
||||
const response = await fetch("/api/tasks", {
|
||||
method: "POST",
|
||||
headers: {
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
body: JSON.stringify(formData)
|
||||
});
|
||||
|
||||
if (response.ok) {
|
||||
// Show success state
|
||||
submitJobForm.classList.add("hidden");
|
||||
submitJobSuccess.classList.remove("hidden");
|
||||
} else {
|
||||
const errorData = await response.json().catch(() => ({}));
|
||||
descError.textContent = errorData.detail || "Failed to submit job. Please try again.";
|
||||
descError.classList.add("visible");
|
||||
}
|
||||
} catch (error) {
|
||||
// For demo/development, show success even if API fails
|
||||
submitJobForm.classList.add("hidden");
|
||||
submitJobSuccess.classList.remove("hidden");
|
||||
} finally {
|
||||
submitJobSubmit.disabled = false;
|
||||
submitJobSubmit.textContent = "Submit Job";
|
||||
}
|
||||
});
|
||||
|
||||
// Close on Escape key for Submit Job Modal
|
||||
document.addEventListener("keydown", (e) => {
|
||||
if (e.key === "Escape" && submitJobModal.classList.contains("open")) {
|
||||
closeSubmitJobModal();
|
||||
}
|
||||
});
|
||||
|
||||
// --- Resize ---
|
||||
window.addEventListener("resize", () => {
|
||||
camera.aspect = window.innerWidth / window.innerHeight;
|
||||
|
||||
@@ -87,3 +87,569 @@ canvas {
|
||||
#connection-dot.connected {
|
||||
background: #00b450;
|
||||
}
|
||||
|
||||
/* Info button */
|
||||
.info-button {
|
||||
position: absolute;
|
||||
top: 14px;
|
||||
right: 36px;
|
||||
width: 28px;
|
||||
height: 28px;
|
||||
padding: 0;
|
||||
background: rgba(10, 10, 20, 0.7);
|
||||
border: 1px solid rgba(218, 165, 32, 0.4);
|
||||
border-radius: 50%;
|
||||
color: #daa520;
|
||||
cursor: pointer;
|
||||
pointer-events: auto;
|
||||
transition: all 0.2s ease;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
}
|
||||
|
||||
.info-button:hover {
|
||||
background: rgba(218, 165, 32, 0.15);
|
||||
border-color: rgba(218, 165, 32, 0.7);
|
||||
transform: scale(1.05);
|
||||
}
|
||||
|
||||
.info-button svg {
|
||||
width: 16px;
|
||||
height: 16px;
|
||||
}
|
||||
|
||||
/* About Panel */
|
||||
.about-panel {
|
||||
position: fixed;
|
||||
top: 0;
|
||||
right: 0;
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
z-index: 100;
|
||||
pointer-events: none;
|
||||
visibility: hidden;
|
||||
opacity: 0;
|
||||
transition: opacity 0.3s ease, visibility 0.3s ease;
|
||||
}
|
||||
|
||||
.about-panel.open {
|
||||
pointer-events: auto;
|
||||
visibility: visible;
|
||||
opacity: 1;
|
||||
}
|
||||
|
||||
.about-panel-content {
|
||||
position: absolute;
|
||||
top: 0;
|
||||
right: 0;
|
||||
width: 380px;
|
||||
max-width: 90%;
|
||||
height: 100%;
|
||||
background: rgba(10, 10, 20, 0.97);
|
||||
border-left: 1px solid rgba(218, 165, 32, 0.3);
|
||||
padding: 60px 24px 24px 24px;
|
||||
overflow-y: auto;
|
||||
transform: translateX(100%);
|
||||
transition: transform 0.3s ease;
|
||||
box-shadow: -4px 0 20px rgba(0, 0, 0, 0.5);
|
||||
}
|
||||
|
||||
.about-panel.open .about-panel-content {
|
||||
transform: translateX(0);
|
||||
}
|
||||
|
||||
.about-close {
|
||||
position: absolute;
|
||||
top: 16px;
|
||||
right: 16px;
|
||||
width: 32px;
|
||||
height: 32px;
|
||||
padding: 0;
|
||||
background: transparent;
|
||||
border: 1px solid rgba(160, 160, 160, 0.3);
|
||||
border-radius: 50%;
|
||||
color: #aaa;
|
||||
cursor: pointer;
|
||||
transition: all 0.2s ease;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
}
|
||||
|
||||
.about-close:hover {
|
||||
background: rgba(255, 255, 255, 0.1);
|
||||
border-color: rgba(218, 165, 32, 0.5);
|
||||
color: #daa520;
|
||||
}
|
||||
|
||||
.about-close svg {
|
||||
width: 18px;
|
||||
height: 18px;
|
||||
}
|
||||
|
||||
.about-panel-content h2 {
|
||||
font-size: 20px;
|
||||
color: #daa520;
|
||||
margin-bottom: 24px;
|
||||
font-weight: 600;
|
||||
}
|
||||
|
||||
.about-panel-content section {
|
||||
margin-bottom: 24px;
|
||||
}
|
||||
|
||||
.about-panel-content h3 {
|
||||
font-size: 14px;
|
||||
color: #e0e0e0;
|
||||
margin-bottom: 10px;
|
||||
font-weight: 600;
|
||||
}
|
||||
|
||||
.about-panel-content p {
|
||||
font-size: 13px;
|
||||
line-height: 1.6;
|
||||
color: #aaa;
|
||||
margin-bottom: 10px;
|
||||
}
|
||||
|
||||
.about-panel-content ul {
|
||||
list-style: none;
|
||||
padding: 0;
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
.about-panel-content li {
|
||||
font-size: 13px;
|
||||
line-height: 1.6;
|
||||
color: #aaa;
|
||||
margin-bottom: 8px;
|
||||
padding-left: 16px;
|
||||
position: relative;
|
||||
}
|
||||
|
||||
.about-panel-content li::before {
|
||||
content: "•";
|
||||
position: absolute;
|
||||
left: 0;
|
||||
color: #daa520;
|
||||
}
|
||||
|
||||
.about-panel-content li strong {
|
||||
color: #ccc;
|
||||
}
|
||||
|
||||
.about-footer {
|
||||
margin-top: 32px;
|
||||
padding-top: 16px;
|
||||
border-top: 1px solid rgba(160, 160, 160, 0.2);
|
||||
font-size: 12px;
|
||||
color: #666;
|
||||
text-align: center;
|
||||
}
|
||||
|
||||
.about-backdrop {
|
||||
position: absolute;
|
||||
top: 0;
|
||||
left: 0;
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
background: rgba(0, 0, 0, 0.5);
|
||||
opacity: 0;
|
||||
transition: opacity 0.3s ease;
|
||||
}
|
||||
|
||||
.about-panel.open .about-backdrop {
|
||||
opacity: 1;
|
||||
}
|
||||
|
||||
/* Submit Job Button */
|
||||
.submit-job-button {
|
||||
position: absolute;
|
||||
top: 14px;
|
||||
right: 72px;
|
||||
height: 28px;
|
||||
padding: 0 12px;
|
||||
background: rgba(10, 10, 20, 0.7);
|
||||
border: 1px solid rgba(0, 180, 80, 0.4);
|
||||
border-radius: 14px;
|
||||
color: #00b450;
|
||||
cursor: pointer;
|
||||
pointer-events: auto;
|
||||
transition: all 0.2s ease;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 6px;
|
||||
font-family: "Courier New", monospace;
|
||||
font-size: 12px;
|
||||
}
|
||||
|
||||
.submit-job-button:hover {
|
||||
background: rgba(0, 180, 80, 0.15);
|
||||
border-color: rgba(0, 180, 80, 0.7);
|
||||
transform: scale(1.05);
|
||||
}
|
||||
|
||||
.submit-job-button svg {
|
||||
width: 14px;
|
||||
height: 14px;
|
||||
}
|
||||
|
||||
/* Submit Job Modal */
|
||||
.submit-job-modal {
|
||||
position: fixed;
|
||||
top: 0;
|
||||
left: 0;
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
z-index: 100;
|
||||
pointer-events: none;
|
||||
visibility: hidden;
|
||||
opacity: 0;
|
||||
transition: opacity 0.3s ease, visibility 0.3s ease;
|
||||
}
|
||||
|
||||
.submit-job-modal.open {
|
||||
pointer-events: auto;
|
||||
visibility: visible;
|
||||
opacity: 1;
|
||||
}
|
||||
|
||||
.submit-job-content {
|
||||
position: absolute;
|
||||
top: 50%;
|
||||
left: 50%;
|
||||
transform: translate(-50%, -50%) scale(0.95);
|
||||
width: 480px;
|
||||
max-width: 90%;
|
||||
max-height: 90vh;
|
||||
background: rgba(10, 10, 20, 0.98);
|
||||
border: 1px solid rgba(218, 165, 32, 0.3);
|
||||
border-radius: 12px;
|
||||
padding: 32px;
|
||||
overflow-y: auto;
|
||||
transition: transform 0.3s ease;
|
||||
box-shadow: 0 8px 32px rgba(0, 0, 0, 0.6);
|
||||
}
|
||||
|
||||
.submit-job-modal.open .submit-job-content {
|
||||
transform: translate(-50%, -50%) scale(1);
|
||||
}
|
||||
|
||||
.submit-job-close {
|
||||
position: absolute;
|
||||
top: 16px;
|
||||
right: 16px;
|
||||
width: 32px;
|
||||
height: 32px;
|
||||
padding: 0;
|
||||
background: transparent;
|
||||
border: 1px solid rgba(160, 160, 160, 0.3);
|
||||
border-radius: 50%;
|
||||
color: #aaa;
|
||||
cursor: pointer;
|
||||
transition: all 0.2s ease;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
}
|
||||
|
||||
.submit-job-close:hover {
|
||||
background: rgba(255, 255, 255, 0.1);
|
||||
border-color: rgba(218, 165, 32, 0.5);
|
||||
color: #daa520;
|
||||
}
|
||||
|
||||
.submit-job-close svg {
|
||||
width: 18px;
|
||||
height: 18px;
|
||||
}
|
||||
|
||||
.submit-job-content h2 {
|
||||
font-size: 22px;
|
||||
color: #daa520;
|
||||
margin: 0 0 8px 0;
|
||||
font-weight: 600;
|
||||
}
|
||||
|
||||
.submit-job-subtitle {
|
||||
font-size: 13px;
|
||||
color: #888;
|
||||
margin: 0 0 24px 0;
|
||||
}
|
||||
|
||||
/* Form Styles */
|
||||
.submit-job-form {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 20px;
|
||||
}
|
||||
|
||||
.submit-job-form.hidden {
|
||||
display: none;
|
||||
}
|
||||
|
||||
.form-group {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 8px;
|
||||
}
|
||||
|
||||
.form-group label {
|
||||
font-size: 13px;
|
||||
color: #ccc;
|
||||
font-weight: 500;
|
||||
}
|
||||
|
||||
.form-group label .required {
|
||||
color: #ff4444;
|
||||
margin-left: 4px;
|
||||
}
|
||||
|
||||
.form-group input,
|
||||
.form-group textarea,
|
||||
.form-group select {
|
||||
background: rgba(30, 30, 40, 0.8);
|
||||
border: 1px solid rgba(160, 160, 160, 0.3);
|
||||
border-radius: 6px;
|
||||
padding: 10px 12px;
|
||||
color: #e0e0e0;
|
||||
font-family: "Courier New", monospace;
|
||||
font-size: 14px;
|
||||
transition: border-color 0.2s ease, box-shadow 0.2s ease;
|
||||
}
|
||||
|
||||
.form-group input:focus,
|
||||
.form-group textarea:focus,
|
||||
.form-group select:focus {
|
||||
outline: none;
|
||||
border-color: rgba(218, 165, 32, 0.6);
|
||||
box-shadow: 0 0 0 2px rgba(218, 165, 32, 0.1);
|
||||
}
|
||||
|
||||
.form-group input.error,
|
||||
.form-group textarea.error {
|
||||
border-color: #ff4444;
|
||||
box-shadow: 0 0 0 2px rgba(255, 68, 68, 0.1);
|
||||
}
|
||||
|
||||
.form-group input::placeholder,
|
||||
.form-group textarea::placeholder {
|
||||
color: #666;
|
||||
}
|
||||
|
||||
.form-group textarea {
|
||||
resize: vertical;
|
||||
min-height: 100px;
|
||||
}
|
||||
|
||||
.form-group select {
|
||||
cursor: pointer;
|
||||
appearance: none;
|
||||
background-image: url("data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' width='12' height='12' viewBox='0 0 24 24' fill='none' stroke='%23888' stroke-width='2'%3E%3Cpath d='m6 9 6 6 6-6'/%3E%3C/svg%3E");
|
||||
background-repeat: no-repeat;
|
||||
background-position: right 12px center;
|
||||
padding-right: 36px;
|
||||
}
|
||||
|
||||
.form-group select option {
|
||||
background: #1a1a2e;
|
||||
color: #e0e0e0;
|
||||
}
|
||||
|
||||
/* Character Count */
|
||||
.char-count {
|
||||
font-size: 11px;
|
||||
color: #666;
|
||||
text-align: right;
|
||||
margin-top: 4px;
|
||||
transition: color 0.2s ease;
|
||||
}
|
||||
|
||||
.char-count.near-limit {
|
||||
color: #ffaa33;
|
||||
}
|
||||
|
||||
.char-count.over-limit {
|
||||
color: #ff4444;
|
||||
font-weight: bold;
|
||||
}
|
||||
|
||||
/* Validation Messages */
|
||||
.validation-error {
|
||||
font-size: 12px;
|
||||
color: #ff4444;
|
||||
margin-top: 4px;
|
||||
min-height: 16px;
|
||||
opacity: 0;
|
||||
transition: opacity 0.2s ease;
|
||||
}
|
||||
|
||||
.validation-error.visible {
|
||||
opacity: 1;
|
||||
}
|
||||
|
||||
.validation-warning {
|
||||
font-size: 12px;
|
||||
color: #ffaa33;
|
||||
margin-top: 4px;
|
||||
min-height: 16px;
|
||||
opacity: 0;
|
||||
transition: opacity 0.2s ease;
|
||||
}
|
||||
|
||||
.validation-warning.visible {
|
||||
opacity: 1;
|
||||
}
|
||||
|
||||
/* Action Buttons */
|
||||
.submit-job-actions {
|
||||
display: flex;
|
||||
gap: 12px;
|
||||
justify-content: flex-end;
|
||||
margin-top: 8px;
|
||||
}
|
||||
|
||||
.btn-secondary {
|
||||
padding: 10px 20px;
|
||||
background: transparent;
|
||||
border: 1px solid rgba(160, 160, 160, 0.4);
|
||||
border-radius: 6px;
|
||||
color: #aaa;
|
||||
font-family: "Courier New", monospace;
|
||||
font-size: 14px;
|
||||
cursor: pointer;
|
||||
transition: all 0.2s ease;
|
||||
}
|
||||
|
||||
.btn-secondary:hover {
|
||||
background: rgba(255, 255, 255, 0.05);
|
||||
border-color: rgba(160, 160, 160, 0.6);
|
||||
color: #ccc;
|
||||
}
|
||||
|
||||
.btn-primary {
|
||||
padding: 10px 20px;
|
||||
background: linear-gradient(135deg, rgba(0, 180, 80, 0.8), rgba(0, 140, 60, 0.9));
|
||||
border: 1px solid rgba(0, 180, 80, 0.5);
|
||||
border-radius: 6px;
|
||||
color: #fff;
|
||||
font-family: "Courier New", monospace;
|
||||
font-size: 14px;
|
||||
cursor: pointer;
|
||||
transition: all 0.2s ease;
|
||||
}
|
||||
|
||||
.btn-primary:hover:not(:disabled) {
|
||||
background: linear-gradient(135deg, rgba(0, 200, 90, 0.9), rgba(0, 160, 70, 1));
|
||||
transform: translateY(-1px);
|
||||
box-shadow: 0 4px 12px rgba(0, 180, 80, 0.3);
|
||||
}
|
||||
|
||||
.btn-primary:disabled {
|
||||
background: rgba(100, 100, 100, 0.3);
|
||||
border-color: rgba(100, 100, 100, 0.3);
|
||||
color: #666;
|
||||
cursor: not-allowed;
|
||||
}
|
||||
|
||||
/* Success State */
|
||||
.submit-job-success {
|
||||
text-align: center;
|
||||
padding: 32px 16px;
|
||||
}
|
||||
|
||||
.submit-job-success.hidden {
|
||||
display: none;
|
||||
}
|
||||
|
||||
.success-icon {
|
||||
width: 64px;
|
||||
height: 64px;
|
||||
margin: 0 auto 20px;
|
||||
color: #00b450;
|
||||
}
|
||||
|
||||
.success-icon svg {
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
}
|
||||
|
||||
.submit-job-success h3 {
|
||||
font-size: 20px;
|
||||
color: #00b450;
|
||||
margin: 0 0 12px 0;
|
||||
}
|
||||
|
||||
.submit-job-success p {
|
||||
font-size: 14px;
|
||||
color: #888;
|
||||
margin: 0 0 24px 0;
|
||||
line-height: 1.5;
|
||||
}
|
||||
|
||||
/* Backdrop */
|
||||
.submit-job-backdrop {
|
||||
position: absolute;
|
||||
top: 0;
|
||||
left: 0;
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
background: rgba(0, 0, 0, 0.6);
|
||||
opacity: 0;
|
||||
transition: opacity 0.3s ease;
|
||||
}
|
||||
|
||||
.submit-job-modal.open .submit-job-backdrop {
|
||||
opacity: 1;
|
||||
}
|
||||
|
||||
/* Mobile adjustments */
|
||||
@media (max-width: 480px) {
|
||||
.about-panel-content {
|
||||
width: 100%;
|
||||
max-width: 100%;
|
||||
padding: 56px 20px 20px 20px;
|
||||
}
|
||||
|
||||
.info-button {
|
||||
right: 32px;
|
||||
width: 26px;
|
||||
height: 26px;
|
||||
}
|
||||
|
||||
.info-button svg {
|
||||
width: 14px;
|
||||
height: 14px;
|
||||
}
|
||||
|
||||
.submit-job-button {
|
||||
right: 64px;
|
||||
height: 26px;
|
||||
padding: 0 10px;
|
||||
font-size: 11px;
|
||||
}
|
||||
|
||||
.submit-job-button svg {
|
||||
width: 12px;
|
||||
height: 12px;
|
||||
}
|
||||
|
||||
.submit-job-content {
|
||||
width: 95%;
|
||||
padding: 24px 20px;
|
||||
}
|
||||
|
||||
.submit-job-content h2 {
|
||||
font-size: 20px;
|
||||
}
|
||||
|
||||
.submit-job-actions {
|
||||
flex-direction: column-reverse;
|
||||
}
|
||||
|
||||
.btn-secondary,
|
||||
.btn-primary {
|
||||
width: 100%;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,680 +0,0 @@
|
||||
"""Tests for agent scorecard functionality."""
|
||||
|
||||
from datetime import UTC, datetime, timedelta
|
||||
from unittest.mock import MagicMock, patch
|
||||
|
||||
from dashboard.services.scorecard_service import (
|
||||
AgentMetrics,
|
||||
PeriodType,
|
||||
ScorecardSummary,
|
||||
_aggregate_metrics,
|
||||
_detect_patterns,
|
||||
_extract_actor_from_event,
|
||||
_generate_narrative_bullets,
|
||||
_get_period_bounds,
|
||||
_is_tracked_agent,
|
||||
_query_token_transactions,
|
||||
generate_all_scorecards,
|
||||
generate_scorecard,
|
||||
get_tracked_agents,
|
||||
)
|
||||
from infrastructure.events.bus import Event
|
||||
|
||||
|
||||
class TestPeriodBounds:
|
||||
"""Test period boundary calculations."""
|
||||
|
||||
def test_daily_period_bounds(self):
|
||||
"""Test daily period returns correct 24-hour window."""
|
||||
reference = datetime(2026, 3, 21, 12, 30, 45, tzinfo=UTC)
|
||||
start, end = _get_period_bounds(PeriodType.daily, reference)
|
||||
|
||||
assert end == datetime(2026, 3, 21, 0, 0, 0, tzinfo=UTC)
|
||||
assert start == datetime(2026, 3, 20, 0, 0, 0, tzinfo=UTC)
|
||||
assert (end - start) == timedelta(days=1)
|
||||
|
||||
def test_weekly_period_bounds(self):
|
||||
"""Test weekly period returns correct 7-day window."""
|
||||
reference = datetime(2026, 3, 21, 12, 30, 45, tzinfo=UTC)
|
||||
start, end = _get_period_bounds(PeriodType.weekly, reference)
|
||||
|
||||
assert end == datetime(2026, 3, 21, 0, 0, 0, tzinfo=UTC)
|
||||
assert start == datetime(2026, 3, 14, 0, 0, 0, tzinfo=UTC)
|
||||
assert (end - start) == timedelta(days=7)
|
||||
|
||||
def test_default_reference_date(self):
|
||||
"""Test default reference date uses current time."""
|
||||
start, end = _get_period_bounds(PeriodType.daily)
|
||||
now = datetime.now(UTC)
|
||||
|
||||
# End should be start of current day (midnight)
|
||||
expected_end = now.replace(hour=0, minute=0, second=0, microsecond=0)
|
||||
assert end == expected_end
|
||||
# Start should be 24 hours before end
|
||||
assert (end - start) == timedelta(days=1)
|
||||
|
||||
|
||||
class TestTrackedAgents:
|
||||
"""Test agent tracking functions."""
|
||||
|
||||
def test_get_tracked_agents(self):
|
||||
"""Test get_tracked_agents returns sorted list."""
|
||||
agents = get_tracked_agents()
|
||||
assert isinstance(agents, list)
|
||||
assert "kimi" in agents
|
||||
assert "claude" in agents
|
||||
assert "gemini" in agents
|
||||
assert "hermes" in agents
|
||||
assert "manus" in agents
|
||||
assert agents == sorted(agents)
|
||||
|
||||
def test_is_tracked_agent_true(self):
|
||||
"""Test _is_tracked_agent returns True for tracked agents."""
|
||||
assert _is_tracked_agent("kimi") is True
|
||||
assert _is_tracked_agent("KIMI") is True # case insensitive
|
||||
assert _is_tracked_agent("claude") is True
|
||||
assert _is_tracked_agent("hermes") is True
|
||||
|
||||
def test_is_tracked_agent_false(self):
|
||||
"""Test _is_tracked_agent returns False for untracked agents."""
|
||||
assert _is_tracked_agent("unknown") is False
|
||||
assert _is_tracked_agent("rockachopa") is False
|
||||
assert _is_tracked_agent("") is False
|
||||
|
||||
|
||||
class TestExtractActor:
|
||||
"""Test actor extraction from events."""
|
||||
|
||||
def test_extract_from_actor_field(self):
|
||||
"""Test extraction from data.actor field."""
|
||||
event = Event(type="test", source="system", data={"actor": "kimi"})
|
||||
assert _extract_actor_from_event(event) == "kimi"
|
||||
|
||||
def test_extract_from_agent_id_field(self):
|
||||
"""Test extraction from data.agent_id field."""
|
||||
event = Event(type="test", source="system", data={"agent_id": "claude"})
|
||||
assert _extract_actor_from_event(event) == "claude"
|
||||
|
||||
def test_extract_from_source_fallback(self):
|
||||
"""Test fallback to event.source."""
|
||||
event = Event(type="test", source="gemini", data={})
|
||||
assert _extract_actor_from_event(event) == "gemini"
|
||||
|
||||
def test_actor_priority_over_agent_id(self):
|
||||
"""Test actor field takes priority over agent_id."""
|
||||
event = Event(type="test", source="system", data={"actor": "kimi", "agent_id": "claude"})
|
||||
assert _extract_actor_from_event(event) == "kimi"
|
||||
|
||||
|
||||
class TestAggregateMetrics:
|
||||
"""Test metrics aggregation from events."""
|
||||
|
||||
def test_empty_events(self):
|
||||
"""Test aggregation with no events returns empty dict."""
|
||||
result = _aggregate_metrics([])
|
||||
assert result == {}
|
||||
|
||||
def test_push_event_aggregation(self):
|
||||
"""Test push events aggregate commits correctly."""
|
||||
events = [
|
||||
Event(type="gitea.push", source="gitea", data={"actor": "kimi", "num_commits": 3}),
|
||||
Event(type="gitea.push", source="gitea", data={"actor": "kimi", "num_commits": 2}),
|
||||
]
|
||||
result = _aggregate_metrics(events)
|
||||
|
||||
assert "kimi" in result
|
||||
assert result["kimi"].commits == 5
|
||||
|
||||
def test_issue_opened_aggregation(self):
|
||||
"""Test issue opened events aggregate correctly."""
|
||||
events = [
|
||||
Event(
|
||||
type="gitea.issue.opened",
|
||||
source="gitea",
|
||||
data={"actor": "claude", "issue_number": 100},
|
||||
),
|
||||
Event(
|
||||
type="gitea.issue.opened",
|
||||
source="gitea",
|
||||
data={"actor": "claude", "issue_number": 101},
|
||||
),
|
||||
]
|
||||
result = _aggregate_metrics(events)
|
||||
|
||||
assert "claude" in result
|
||||
assert len(result["claude"].issues_touched) == 2
|
||||
assert 100 in result["claude"].issues_touched
|
||||
assert 101 in result["claude"].issues_touched
|
||||
|
||||
def test_comment_aggregation(self):
|
||||
"""Test comment events aggregate correctly."""
|
||||
events = [
|
||||
Event(
|
||||
type="gitea.issue.comment",
|
||||
source="gitea",
|
||||
data={"actor": "gemini", "issue_number": 100},
|
||||
),
|
||||
Event(
|
||||
type="gitea.issue.comment",
|
||||
source="gitea",
|
||||
data={"actor": "gemini", "issue_number": 101},
|
||||
),
|
||||
]
|
||||
result = _aggregate_metrics(events)
|
||||
|
||||
assert "gemini" in result
|
||||
assert result["gemini"].comments == 2
|
||||
assert len(result["gemini"].issues_touched) == 2 # Comments touch issues too
|
||||
|
||||
def test_pr_events_aggregation(self):
|
||||
"""Test PR open and merge events aggregate correctly."""
|
||||
events = [
|
||||
Event(
|
||||
type="gitea.pull_request",
|
||||
source="gitea",
|
||||
data={"actor": "kimi", "pr_number": 50, "action": "opened"},
|
||||
),
|
||||
Event(
|
||||
type="gitea.pull_request",
|
||||
source="gitea",
|
||||
data={"actor": "kimi", "pr_number": 50, "action": "closed", "merged": True},
|
||||
),
|
||||
Event(
|
||||
type="gitea.pull_request",
|
||||
source="gitea",
|
||||
data={"actor": "kimi", "pr_number": 51, "action": "opened"},
|
||||
),
|
||||
]
|
||||
result = _aggregate_metrics(events)
|
||||
|
||||
assert "kimi" in result
|
||||
assert len(result["kimi"].prs_opened) == 2
|
||||
assert len(result["kimi"].prs_merged) == 1
|
||||
assert 50 in result["kimi"].prs_merged
|
||||
|
||||
def test_untracked_agent_filtered(self):
|
||||
"""Test events from untracked agents are filtered out."""
|
||||
events = [
|
||||
Event(
|
||||
type="gitea.push", source="gitea", data={"actor": "rockachopa", "num_commits": 5}
|
||||
),
|
||||
]
|
||||
result = _aggregate_metrics(events)
|
||||
|
||||
assert "rockachopa" not in result
|
||||
|
||||
def test_task_completion_aggregation(self):
|
||||
"""Test task completion events aggregate test files."""
|
||||
events = [
|
||||
Event(
|
||||
type="agent.task.completed",
|
||||
source="gitea",
|
||||
data={
|
||||
"agent_id": "kimi",
|
||||
"tests_affected": ["test_foo.py", "test_bar.py"],
|
||||
"token_reward": 10,
|
||||
},
|
||||
),
|
||||
]
|
||||
result = _aggregate_metrics(events)
|
||||
|
||||
assert "kimi" in result
|
||||
assert len(result["kimi"].tests_affected) == 2
|
||||
assert "test_foo.py" in result["kimi"].tests_affected
|
||||
assert result["kimi"].tokens_earned == 10
|
||||
|
||||
|
||||
class TestAgentMetrics:
|
||||
"""Test AgentMetrics class."""
|
||||
|
||||
def test_merge_rate_zero_prs(self):
|
||||
"""Test merge rate is 0 when no PRs opened."""
|
||||
metrics = AgentMetrics(agent_id="kimi")
|
||||
assert metrics.pr_merge_rate == 0.0
|
||||
|
||||
def test_merge_rate_perfect(self):
|
||||
"""Test 100% merge rate calculation."""
|
||||
metrics = AgentMetrics(agent_id="kimi", prs_opened={1, 2, 3}, prs_merged={1, 2, 3})
|
||||
assert metrics.pr_merge_rate == 1.0
|
||||
|
||||
def test_merge_rate_partial(self):
|
||||
"""Test partial merge rate calculation."""
|
||||
metrics = AgentMetrics(agent_id="kimi", prs_opened={1, 2, 3, 4}, prs_merged={1, 2})
|
||||
assert metrics.pr_merge_rate == 0.5
|
||||
|
||||
|
||||
class TestDetectPatterns:
|
||||
"""Test pattern detection logic."""
|
||||
|
||||
def test_high_merge_rate_pattern(self):
|
||||
"""Test detection of high merge rate pattern."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
prs_opened={1, 2, 3, 4, 5},
|
||||
prs_merged={1, 2, 3, 4}, # 80% merge rate
|
||||
)
|
||||
patterns = _detect_patterns(metrics)
|
||||
|
||||
assert any("High merge rate" in p for p in patterns)
|
||||
|
||||
def test_low_merge_rate_pattern(self):
|
||||
"""Test detection of low merge rate pattern."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
prs_opened={1, 2, 3, 4, 5},
|
||||
prs_merged={1}, # 20% merge rate
|
||||
)
|
||||
patterns = _detect_patterns(metrics)
|
||||
|
||||
assert any("low merge rate" in p for p in patterns)
|
||||
|
||||
def test_high_commits_no_prs_pattern(self):
|
||||
"""Test detection of direct-to-main commits pattern."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
commits=15,
|
||||
prs_opened=set(),
|
||||
)
|
||||
patterns = _detect_patterns(metrics)
|
||||
|
||||
assert any("High commit volume without PRs" in p for p in patterns)
|
||||
|
||||
def test_silent_worker_pattern(self):
|
||||
"""Test detection of silent worker pattern."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
issues_touched={1, 2, 3, 4, 5, 6},
|
||||
comments=0,
|
||||
)
|
||||
patterns = _detect_patterns(metrics)
|
||||
|
||||
assert any("silent worker" in p for p in patterns)
|
||||
|
||||
def test_communicative_pattern(self):
|
||||
"""Test detection of highly communicative pattern."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
issues_touched={1, 2}, # 2 issues
|
||||
comments=10, # 5x comments per issue
|
||||
)
|
||||
patterns = _detect_patterns(metrics)
|
||||
|
||||
assert any("Highly communicative" in p for p in patterns)
|
||||
|
||||
def test_token_accumulation_pattern(self):
|
||||
"""Test detection of token accumulation pattern."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
tokens_earned=150,
|
||||
tokens_spent=10,
|
||||
)
|
||||
patterns = _detect_patterns(metrics)
|
||||
|
||||
assert any("Strong token accumulation" in p for p in patterns)
|
||||
|
||||
def test_token_spend_pattern(self):
|
||||
"""Test detection of high token spend pattern."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
tokens_earned=10,
|
||||
tokens_spent=100,
|
||||
)
|
||||
patterns = _detect_patterns(metrics)
|
||||
|
||||
assert any("High token spend" in p for p in patterns)
|
||||
|
||||
|
||||
class TestGenerateNarrative:
|
||||
"""Test narrative bullet generation."""
|
||||
|
||||
def test_empty_metrics_narrative(self):
|
||||
"""Test narrative for empty metrics mentions no activity."""
|
||||
metrics = AgentMetrics(agent_id="kimi")
|
||||
bullets = _generate_narrative_bullets(metrics, PeriodType.daily)
|
||||
|
||||
assert len(bullets) == 1
|
||||
assert "No recorded activity" in bullets[0]
|
||||
|
||||
def test_activity_summary_narrative(self):
|
||||
"""Test narrative includes activity summary."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
commits=5,
|
||||
prs_opened={1, 2},
|
||||
prs_merged={1},
|
||||
)
|
||||
bullets = _generate_narrative_bullets(metrics, PeriodType.daily)
|
||||
|
||||
activity_bullet = next((b for b in bullets if "Active across" in b), None)
|
||||
assert activity_bullet is not None
|
||||
assert "5 commits" in activity_bullet
|
||||
assert "2 PRs opened" in activity_bullet
|
||||
assert "1 PR merged" in activity_bullet
|
||||
|
||||
def test_tests_affected_narrative(self):
|
||||
"""Test narrative includes tests affected."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
tests_affected={"test_a.py", "test_b.py"},
|
||||
)
|
||||
bullets = _generate_narrative_bullets(metrics, PeriodType.daily)
|
||||
|
||||
assert any("2 test files" in b for b in bullets)
|
||||
|
||||
def test_tokens_earned_narrative(self):
|
||||
"""Test narrative includes token earnings."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
tokens_earned=100,
|
||||
tokens_spent=20,
|
||||
)
|
||||
bullets = _generate_narrative_bullets(metrics, PeriodType.daily)
|
||||
|
||||
assert any("Net earned 80 tokens" in b for b in bullets)
|
||||
|
||||
def test_tokens_spent_narrative(self):
|
||||
"""Test narrative includes token spending."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
tokens_earned=20,
|
||||
tokens_spent=100,
|
||||
)
|
||||
bullets = _generate_narrative_bullets(metrics, PeriodType.daily)
|
||||
|
||||
assert any("Net spent 80 tokens" in b for b in bullets)
|
||||
|
||||
def test_balanced_tokens_narrative(self):
|
||||
"""Test narrative for balanced token flow."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
tokens_earned=100,
|
||||
tokens_spent=100,
|
||||
)
|
||||
bullets = _generate_narrative_bullets(metrics, PeriodType.daily)
|
||||
|
||||
assert any("Balanced token flow" in b for b in bullets)
|
||||
|
||||
|
||||
class TestScorecardSummary:
|
||||
"""Test ScorecardSummary dataclass."""
|
||||
|
||||
def test_to_dict_structure(self):
|
||||
"""Test to_dict returns expected structure."""
|
||||
metrics = AgentMetrics(
|
||||
agent_id="kimi",
|
||||
issues_touched={1, 2},
|
||||
prs_opened={10, 11},
|
||||
prs_merged={10},
|
||||
tokens_earned=100,
|
||||
tokens_spent=20,
|
||||
)
|
||||
summary = ScorecardSummary(
|
||||
agent_id="kimi",
|
||||
period_type=PeriodType.daily,
|
||||
period_start=datetime.now(UTC),
|
||||
period_end=datetime.now(UTC),
|
||||
metrics=metrics,
|
||||
narrative_bullets=["Test bullet"],
|
||||
patterns=["Test pattern"],
|
||||
)
|
||||
data = summary.to_dict()
|
||||
|
||||
assert data["agent_id"] == "kimi"
|
||||
assert data["period_type"] == "daily"
|
||||
assert "metrics" in data
|
||||
assert data["metrics"]["issues_touched"] == 2
|
||||
assert data["metrics"]["prs_opened"] == 2
|
||||
assert data["metrics"]["prs_merged"] == 1
|
||||
assert data["metrics"]["pr_merge_rate"] == 0.5
|
||||
assert data["metrics"]["tokens_earned"] == 100
|
||||
assert data["metrics"]["token_net"] == 80
|
||||
assert data["narrative_bullets"] == ["Test bullet"]
|
||||
assert data["patterns"] == ["Test pattern"]
|
||||
|
||||
|
||||
class TestQueryTokenTransactions:
|
||||
"""Test token transaction querying."""
|
||||
|
||||
def test_empty_ledger(self):
|
||||
"""Test empty ledger returns zero values."""
|
||||
with patch("lightning.ledger.get_transactions", return_value=[]):
|
||||
earned, spent = _query_token_transactions("kimi", datetime.now(UTC), datetime.now(UTC))
|
||||
assert earned == 0
|
||||
assert spent == 0
|
||||
|
||||
def test_ledger_with_transactions(self):
|
||||
"""Test ledger aggregation of transactions."""
|
||||
now = datetime.now(UTC)
|
||||
mock_tx = [
|
||||
MagicMock(
|
||||
agent_id="kimi",
|
||||
tx_type=MagicMock(value="incoming"),
|
||||
amount_sats=100,
|
||||
created_at=now.isoformat(),
|
||||
),
|
||||
MagicMock(
|
||||
agent_id="kimi",
|
||||
tx_type=MagicMock(value="outgoing"),
|
||||
amount_sats=30,
|
||||
created_at=now.isoformat(),
|
||||
),
|
||||
]
|
||||
with patch("lightning.ledger.get_transactions", return_value=mock_tx):
|
||||
earned, spent = _query_token_transactions(
|
||||
"kimi", now - timedelta(hours=1), now + timedelta(hours=1)
|
||||
)
|
||||
assert earned == 100
|
||||
assert spent == 30
|
||||
|
||||
def test_ledger_filters_by_agent(self):
|
||||
"""Test ledger filters transactions by agent_id."""
|
||||
now = datetime.now(UTC)
|
||||
mock_tx = [
|
||||
MagicMock(
|
||||
agent_id="claude",
|
||||
tx_type=MagicMock(value="incoming"),
|
||||
amount_sats=100,
|
||||
created_at=now.isoformat(),
|
||||
),
|
||||
]
|
||||
with patch("lightning.ledger.get_transactions", return_value=mock_tx):
|
||||
earned, spent = _query_token_transactions(
|
||||
"kimi", now - timedelta(hours=1), now + timedelta(hours=1)
|
||||
)
|
||||
assert earned == 0 # Transaction was for claude, not kimi
|
||||
|
||||
def test_ledger_filters_by_time(self):
|
||||
"""Test ledger filters transactions by time range."""
|
||||
now = datetime.now(UTC)
|
||||
old_time = now - timedelta(days=2)
|
||||
mock_tx = [
|
||||
MagicMock(
|
||||
agent_id="kimi",
|
||||
tx_type=MagicMock(value="incoming"),
|
||||
amount_sats=100,
|
||||
created_at=old_time.isoformat(),
|
||||
),
|
||||
]
|
||||
with patch("lightning.ledger.get_transactions", return_value=mock_tx):
|
||||
# Query for today only
|
||||
earned, spent = _query_token_transactions(
|
||||
"kimi", now - timedelta(hours=1), now + timedelta(hours=1)
|
||||
)
|
||||
assert earned == 0 # Transaction was 2 days ago
|
||||
|
||||
|
||||
class TestGenerateScorecard:
|
||||
"""Test scorecard generation."""
|
||||
|
||||
def test_generate_scorecard_no_activity(self):
|
||||
"""Test scorecard generation for agent with no activity."""
|
||||
with patch(
|
||||
"dashboard.services.scorecard_service._collect_events_for_period", return_value=[]
|
||||
):
|
||||
with patch(
|
||||
"dashboard.services.scorecard_service._query_token_transactions",
|
||||
return_value=(0, 0),
|
||||
):
|
||||
scorecard = generate_scorecard("kimi", PeriodType.daily)
|
||||
|
||||
assert scorecard is not None
|
||||
assert scorecard.agent_id == "kimi"
|
||||
assert scorecard.period_type == PeriodType.daily
|
||||
assert len(scorecard.narrative_bullets) == 1
|
||||
assert "No recorded activity" in scorecard.narrative_bullets[0]
|
||||
|
||||
def test_generate_scorecard_with_activity(self):
|
||||
"""Test scorecard generation includes activity."""
|
||||
events = [
|
||||
Event(type="gitea.push", source="gitea", data={"actor": "kimi", "num_commits": 5}),
|
||||
]
|
||||
with patch(
|
||||
"dashboard.services.scorecard_service._collect_events_for_period", return_value=events
|
||||
):
|
||||
with patch(
|
||||
"dashboard.services.scorecard_service._query_token_transactions",
|
||||
return_value=(100, 20),
|
||||
):
|
||||
scorecard = generate_scorecard("kimi", PeriodType.daily)
|
||||
|
||||
assert scorecard is not None
|
||||
assert scorecard.metrics.commits == 5
|
||||
assert scorecard.metrics.tokens_earned == 100
|
||||
assert scorecard.metrics.tokens_spent == 20
|
||||
|
||||
|
||||
class TestGenerateAllScorecards:
|
||||
"""Test generating scorecards for all agents."""
|
||||
|
||||
def test_generates_for_all_tracked_agents(self):
|
||||
"""Test all tracked agents get scorecards even with no activity."""
|
||||
with patch(
|
||||
"dashboard.services.scorecard_service._collect_events_for_period", return_value=[]
|
||||
):
|
||||
with patch(
|
||||
"dashboard.services.scorecard_service._query_token_transactions",
|
||||
return_value=(0, 0),
|
||||
):
|
||||
scorecards = generate_all_scorecards(PeriodType.daily)
|
||||
|
||||
agent_ids = {s.agent_id for s in scorecards}
|
||||
expected = {"kimi", "claude", "gemini", "hermes", "manus"}
|
||||
assert expected.issubset(agent_ids)
|
||||
|
||||
def test_scorecards_sorted(self):
|
||||
"""Test scorecards are sorted by agent_id."""
|
||||
with patch(
|
||||
"dashboard.services.scorecard_service._collect_events_for_period", return_value=[]
|
||||
):
|
||||
with patch(
|
||||
"dashboard.services.scorecard_service._query_token_transactions",
|
||||
return_value=(0, 0),
|
||||
):
|
||||
scorecards = generate_all_scorecards(PeriodType.daily)
|
||||
|
||||
agent_ids = [s.agent_id for s in scorecards]
|
||||
assert agent_ids == sorted(agent_ids)
|
||||
|
||||
|
||||
class TestScorecardRoutes:
|
||||
"""Test scorecard API routes."""
|
||||
|
||||
def test_list_agents_endpoint(self, client):
|
||||
"""Test GET /scorecards/api/agents returns tracked agents."""
|
||||
response = client.get("/scorecards/api/agents")
|
||||
assert response.status_code == 200
|
||||
data = response.json()
|
||||
assert "agents" in data
|
||||
assert "kimi" in data["agents"]
|
||||
assert "claude" in data["agents"]
|
||||
|
||||
def test_get_scorecard_endpoint(self, client):
|
||||
"""Test GET /scorecards/api/{agent_id} returns scorecard."""
|
||||
with patch("dashboard.routes.scorecards.generate_scorecard") as mock_generate:
|
||||
mock_generate.return_value = ScorecardSummary(
|
||||
agent_id="kimi",
|
||||
period_type=PeriodType.daily,
|
||||
period_start=datetime.now(UTC),
|
||||
period_end=datetime.now(UTC),
|
||||
metrics=AgentMetrics(agent_id="kimi"),
|
||||
narrative_bullets=["Test bullet"],
|
||||
patterns=[],
|
||||
)
|
||||
response = client.get("/scorecards/api/kimi?period=daily")
|
||||
|
||||
assert response.status_code == 200
|
||||
data = response.json()
|
||||
assert data["agent_id"] == "kimi"
|
||||
assert data["period_type"] == "daily"
|
||||
|
||||
def test_get_scorecard_invalid_period(self, client):
|
||||
"""Test GET with invalid period returns 400."""
|
||||
response = client.get("/scorecards/api/kimi?period=invalid")
|
||||
assert response.status_code == 400
|
||||
assert "error" in response.json()
|
||||
|
||||
def test_get_all_scorecards_endpoint(self, client):
|
||||
"""Test GET /scorecards/api returns all scorecards."""
|
||||
with patch("dashboard.routes.scorecards.generate_all_scorecards") as mock_generate:
|
||||
mock_generate.return_value = [
|
||||
ScorecardSummary(
|
||||
agent_id="kimi",
|
||||
period_type=PeriodType.daily,
|
||||
period_start=datetime.now(UTC),
|
||||
period_end=datetime.now(UTC),
|
||||
metrics=AgentMetrics(agent_id="kimi"),
|
||||
narrative_bullets=[],
|
||||
patterns=[],
|
||||
),
|
||||
]
|
||||
response = client.get("/scorecards/api?period=daily")
|
||||
|
||||
assert response.status_code == 200
|
||||
data = response.json()
|
||||
assert data["period"] == "daily"
|
||||
assert "scorecards" in data
|
||||
assert len(data["scorecards"]) == 1
|
||||
|
||||
def test_scorecards_page_renders(self, client):
|
||||
"""Test GET /scorecards returns HTML page."""
|
||||
response = client.get("/scorecards")
|
||||
assert response.status_code == 200
|
||||
assert "text/html" in response.headers.get("content-type", "")
|
||||
assert "AGENT SCORECARDS" in response.text
|
||||
|
||||
def test_scorecard_panel_renders(self, client):
|
||||
"""Test GET /scorecards/panel/{agent_id} returns HTML."""
|
||||
with patch("dashboard.routes.scorecards.generate_scorecard") as mock_generate:
|
||||
mock_generate.return_value = ScorecardSummary(
|
||||
agent_id="kimi",
|
||||
period_type=PeriodType.daily,
|
||||
period_start=datetime.now(UTC),
|
||||
period_end=datetime.now(UTC),
|
||||
metrics=AgentMetrics(agent_id="kimi", commits=5),
|
||||
narrative_bullets=["Active across 5 commits this day."],
|
||||
patterns=["High activity"],
|
||||
)
|
||||
response = client.get("/scorecards/panel/kimi?period=daily")
|
||||
|
||||
assert response.status_code == 200
|
||||
assert "text/html" in response.headers.get("content-type", "")
|
||||
assert "Kimi" in response.text
|
||||
|
||||
def test_all_panels_renders(self, client):
|
||||
"""Test GET /scorecards/all/panels returns HTML with all panels."""
|
||||
with patch("dashboard.routes.scorecards.generate_all_scorecards") as mock_generate:
|
||||
mock_generate.return_value = [
|
||||
ScorecardSummary(
|
||||
agent_id="kimi",
|
||||
period_type=PeriodType.daily,
|
||||
period_start=datetime.now(UTC),
|
||||
period_end=datetime.now(UTC),
|
||||
metrics=AgentMetrics(agent_id="kimi"),
|
||||
narrative_bullets=[],
|
||||
patterns=[],
|
||||
),
|
||||
]
|
||||
response = client.get("/scorecards/all/panels?period=daily")
|
||||
|
||||
assert response.status_code == 200
|
||||
assert "text/html" in response.headers.get("content-type", "")
|
||||
288
tests/infrastructure/test_db_pool.py
Normal file
288
tests/infrastructure/test_db_pool.py
Normal file
@@ -0,0 +1,288 @@
|
||||
"""Tests for infrastructure.db_pool module."""
|
||||
|
||||
import sqlite3
|
||||
import threading
|
||||
import time
|
||||
from pathlib import Path
|
||||
|
||||
import pytest
|
||||
|
||||
from infrastructure.db_pool import ConnectionPool
|
||||
|
||||
|
||||
class TestConnectionPoolInit:
|
||||
"""Test ConnectionPool initialization."""
|
||||
|
||||
def test_init_with_string_path(self, tmp_path):
|
||||
"""Pool can be initialized with a string path."""
|
||||
db_path = str(tmp_path / "test.db")
|
||||
pool = ConnectionPool(db_path)
|
||||
assert pool._db_path == Path(db_path)
|
||||
|
||||
def test_init_with_path_object(self, tmp_path):
|
||||
"""Pool can be initialized with a Path object."""
|
||||
db_path = tmp_path / "test.db"
|
||||
pool = ConnectionPool(db_path)
|
||||
assert pool._db_path == db_path
|
||||
|
||||
def test_init_creates_thread_local(self, tmp_path):
|
||||
"""Pool initializes thread-local storage."""
|
||||
pool = ConnectionPool(tmp_path / "test.db")
|
||||
assert hasattr(pool, "_local")
|
||||
assert isinstance(pool._local, threading.local)
|
||||
|
||||
|
||||
class TestGetConnection:
|
||||
"""Test get_connection() method."""
|
||||
|
||||
def test_get_connection_returns_valid_sqlite3_connection(self, tmp_path):
|
||||
"""get_connection() returns a valid sqlite3 connection."""
|
||||
pool = ConnectionPool(tmp_path / "test.db")
|
||||
conn = pool.get_connection()
|
||||
assert isinstance(conn, sqlite3.Connection)
|
||||
# Verify it's a working connection
|
||||
cursor = conn.execute("SELECT 1")
|
||||
assert cursor.fetchone()[0] == 1
|
||||
|
||||
def test_get_connection_creates_db_file(self, tmp_path):
|
||||
"""get_connection() creates the database file if it doesn't exist."""
|
||||
db_path = tmp_path / "subdir" / "test.db"
|
||||
assert not db_path.exists()
|
||||
pool = ConnectionPool(db_path)
|
||||
pool.get_connection()
|
||||
assert db_path.exists()
|
||||
|
||||
def test_get_connection_sets_row_factory(self, tmp_path):
|
||||
"""get_connection() sets row_factory to sqlite3.Row."""
|
||||
pool = ConnectionPool(tmp_path / "test.db")
|
||||
conn = pool.get_connection()
|
||||
assert conn.row_factory is sqlite3.Row
|
||||
|
||||
def test_multiple_calls_same_thread_reuse_connection(self, tmp_path):
|
||||
"""Multiple calls from same thread reuse the same connection."""
|
||||
pool = ConnectionPool(tmp_path / "test.db")
|
||||
conn1 = pool.get_connection()
|
||||
conn2 = pool.get_connection()
|
||||
assert conn1 is conn2
|
||||
|
||||
def test_different_threads_get_different_connections(self, tmp_path):
|
||||
"""Different threads get different connections."""
|
||||
pool = ConnectionPool(tmp_path / "test.db")
|
||||
connections = []
|
||||
|
||||
def get_conn():
|
||||
connections.append(pool.get_connection())
|
||||
|
||||
t1 = threading.Thread(target=get_conn)
|
||||
t2 = threading.Thread(target=get_conn)
|
||||
t1.start()
|
||||
t2.start()
|
||||
t1.join()
|
||||
t2.join()
|
||||
|
||||
assert len(connections) == 2
|
||||
assert connections[0] is not connections[1]
|
||||
|
||||
|
||||
class TestCloseConnection:
|
||||
"""Test close_connection() method."""
|
||||
|
||||
def test_close_connection_closes_sqlite_connection(self, tmp_path):
|
||||
"""close_connection() closes the underlying sqlite connection."""
|
||||
pool = ConnectionPool(tmp_path / "test.db")
|
||||
conn = pool.get_connection()
|
||||
pool.close_connection()
|
||||
# Connection should be closed
|
||||
with pytest.raises(sqlite3.ProgrammingError):
|
||||
conn.execute("SELECT 1")
|
||||
|
||||
def test_close_connection_cleans_up_thread_local(self, tmp_path):
|
||||
"""close_connection() cleans up thread-local storage."""
|
||||
pool = ConnectionPool(tmp_path / "test.db")
|
||||
pool.get_connection()
|
||||
assert hasattr(pool._local, "conn")
|
||||
assert pool._local.conn is not None
|
||||
|
||||
pool.close_connection()
|
||||
|
||||
# Should either not have the attr or it should be None
|
||||
assert not hasattr(pool._local, "conn") or pool._local.conn is None
|
||||
|
||||
def test_close_connection_without_getting_connection_is_safe(self, tmp_path):
|
||||
"""close_connection() is safe to call even without getting a connection first."""
|
||||
pool = ConnectionPool(tmp_path / "test.db")
|
||||
# Should not raise
|
||||
pool.close_connection()
|
||||
|
||||
def test_close_connection_multiple_calls_is_safe(self, tmp_path):
|
||||
"""close_connection() can be called multiple times safely."""
|
||||
pool = ConnectionPool(tmp_path / "test.db")
|
||||
pool.get_connection()
|
||||
pool.close_connection()
|
||||
# Should not raise
|
||||
pool.close_connection()
|
||||
|
||||
|
||||
class TestContextManager:
|
||||
"""Test the connection() context manager."""
|
||||
|
||||
def test_connection_yields_valid_connection(self, tmp_path):
|
||||
"""connection() context manager yields a valid sqlite3 connection."""
|
||||
pool = ConnectionPool(tmp_path / "test.db")
|
||||
with pool.connection() as conn:
|
||||
assert isinstance(conn, sqlite3.Connection)
|
||||
cursor = conn.execute("SELECT 42")
|
||||
assert cursor.fetchone()[0] == 42
|
||||
|
||||
def test_connection_closes_on_exit(self, tmp_path):
|
||||
"""connection() context manager closes connection on exit."""
|
||||
pool = ConnectionPool(tmp_path / "test.db")
|
||||
with pool.connection() as conn:
|
||||
pass
|
||||
# Connection should be closed after context exit
|
||||
with pytest.raises(sqlite3.ProgrammingError):
|
||||
conn.execute("SELECT 1")
|
||||
|
||||
def test_connection_closes_on_exception(self, tmp_path):
|
||||
"""connection() context manager closes connection even on exception."""
|
||||
pool = ConnectionPool(tmp_path / "test.db")
|
||||
conn_ref = None
|
||||
try:
|
||||
with pool.connection() as conn:
|
||||
conn_ref = conn
|
||||
raise ValueError("Test exception")
|
||||
except ValueError:
|
||||
pass
|
||||
# Connection should still be closed
|
||||
with pytest.raises(sqlite3.ProgrammingError):
|
||||
conn_ref.execute("SELECT 1")
|
||||
|
||||
def test_connection_context_manager_is_reusable(self, tmp_path):
|
||||
"""connection() context manager can be used multiple times."""
|
||||
pool = ConnectionPool(tmp_path / "test.db")
|
||||
|
||||
with pool.connection() as conn1:
|
||||
result1 = conn1.execute("SELECT 1").fetchone()[0]
|
||||
|
||||
with pool.connection() as conn2:
|
||||
result2 = conn2.execute("SELECT 2").fetchone()[0]
|
||||
|
||||
assert result1 == 1
|
||||
assert result2 == 2
|
||||
|
||||
|
||||
class TestThreadSafety:
|
||||
"""Test thread-safety of the connection pool."""
|
||||
|
||||
def test_concurrent_access(self, tmp_path):
|
||||
"""Multiple threads can use the pool concurrently."""
|
||||
pool = ConnectionPool(tmp_path / "test.db")
|
||||
results = []
|
||||
errors = []
|
||||
|
||||
def worker(worker_id):
|
||||
try:
|
||||
with pool.connection() as conn:
|
||||
conn.execute("CREATE TABLE IF NOT EXISTS test (id INTEGER)")
|
||||
conn.execute("INSERT INTO test VALUES (?)", (worker_id,))
|
||||
conn.commit()
|
||||
time.sleep(0.01) # Small delay to increase contention
|
||||
results.append(worker_id)
|
||||
except Exception as e:
|
||||
errors.append(e)
|
||||
|
||||
threads = [threading.Thread(target=worker, args=(i,)) for i in range(5)]
|
||||
for t in threads:
|
||||
t.start()
|
||||
for t in threads:
|
||||
t.join()
|
||||
|
||||
assert len(errors) == 0, f"Errors occurred: {errors}"
|
||||
assert len(results) == 5
|
||||
|
||||
def test_thread_isolation(self, tmp_path):
|
||||
"""Each thread has isolated connections (verified by thread-local data)."""
|
||||
pool = ConnectionPool(tmp_path / "test.db")
|
||||
results = []
|
||||
|
||||
def worker(worker_id):
|
||||
# Get connection and write worker-specific data
|
||||
conn = pool.get_connection()
|
||||
conn.execute("CREATE TABLE IF NOT EXISTS isolation_test (thread_id INTEGER)")
|
||||
conn.execute("DELETE FROM isolation_test") # Clear previous data
|
||||
conn.execute("INSERT INTO isolation_test VALUES (?)", (worker_id,))
|
||||
conn.commit()
|
||||
# Read back the data
|
||||
result = conn.execute("SELECT thread_id FROM isolation_test").fetchone()[0]
|
||||
results.append((worker_id, result))
|
||||
pool.close_connection()
|
||||
|
||||
threads = [threading.Thread(target=worker, args=(i,)) for i in range(3)]
|
||||
for t in threads:
|
||||
t.start()
|
||||
for t in threads:
|
||||
t.join()
|
||||
|
||||
# Each thread should have written and read its own ID
|
||||
assert len(results) == 3
|
||||
for worker_id, read_id in results:
|
||||
assert worker_id == read_id, f"Thread {worker_id} read {read_id} instead"
|
||||
|
||||
|
||||
class TestCloseAll:
|
||||
"""Test close_all() method."""
|
||||
|
||||
def test_close_all_closes_current_thread_connection(self, tmp_path):
|
||||
"""close_all() closes the connection for the current thread."""
|
||||
pool = ConnectionPool(tmp_path / "test.db")
|
||||
conn = pool.get_connection()
|
||||
pool.close_all()
|
||||
# Connection should be closed
|
||||
with pytest.raises(sqlite3.ProgrammingError):
|
||||
conn.execute("SELECT 1")
|
||||
|
||||
|
||||
class TestIntegration:
|
||||
"""Integration tests for real-world usage patterns."""
|
||||
|
||||
def test_basic_crud_operations(self, tmp_path):
|
||||
"""Can perform basic CRUD operations through the pool."""
|
||||
pool = ConnectionPool(tmp_path / "test.db")
|
||||
|
||||
with pool.connection() as conn:
|
||||
# Create table
|
||||
conn.execute("CREATE TABLE users (id INTEGER PRIMARY KEY, name TEXT)")
|
||||
# Insert
|
||||
conn.execute("INSERT INTO users (name) VALUES (?)", ("Alice",))
|
||||
conn.execute("INSERT INTO users (name) VALUES (?)", ("Bob",))
|
||||
conn.commit()
|
||||
# Query
|
||||
cursor = conn.execute("SELECT * FROM users ORDER BY id")
|
||||
rows = cursor.fetchall()
|
||||
assert len(rows) == 2
|
||||
assert rows[0]["name"] == "Alice"
|
||||
assert rows[1]["name"] == "Bob"
|
||||
|
||||
def test_multiple_pools_different_databases(self, tmp_path):
|
||||
"""Multiple pools can manage different databases independently."""
|
||||
pool1 = ConnectionPool(tmp_path / "db1.db")
|
||||
pool2 = ConnectionPool(tmp_path / "db2.db")
|
||||
|
||||
with pool1.connection() as conn1:
|
||||
conn1.execute("CREATE TABLE test (val INTEGER)")
|
||||
conn1.execute("INSERT INTO test VALUES (1)")
|
||||
conn1.commit()
|
||||
|
||||
with pool2.connection() as conn2:
|
||||
conn2.execute("CREATE TABLE test (val INTEGER)")
|
||||
conn2.execute("INSERT INTO test VALUES (2)")
|
||||
conn2.commit()
|
||||
|
||||
# Verify isolation
|
||||
with pool1.connection() as conn1:
|
||||
result = conn1.execute("SELECT val FROM test").fetchone()[0]
|
||||
assert result == 1
|
||||
|
||||
with pool2.connection() as conn2:
|
||||
result = conn2.execute("SELECT val FROM test").fetchone()[0]
|
||||
assert result == 2
|
||||
266
tests/test_command_log.py
Normal file
266
tests/test_command_log.py
Normal file
@@ -0,0 +1,266 @@
|
||||
"""Tests for Morrowind command log and training export pipeline."""
|
||||
|
||||
from datetime import UTC, datetime, timedelta
|
||||
from pathlib import Path
|
||||
|
||||
import pytest
|
||||
|
||||
from src.infrastructure.morrowind.command_log import CommandLog, CommandLogger
|
||||
from src.infrastructure.morrowind.schemas import (
|
||||
CommandInput,
|
||||
CommandType,
|
||||
PerceptionOutput,
|
||||
)
|
||||
from src.infrastructure.morrowind.training_export import TrainingExporter
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Helpers
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
NOW = datetime(2026, 3, 21, 14, 30, 0, tzinfo=UTC)
|
||||
|
||||
|
||||
def _make_perception(**overrides) -> PerceptionOutput:
|
||||
defaults = {
|
||||
"timestamp": NOW,
|
||||
"agent_id": "timmy",
|
||||
"location": {"cell": "Balmora", "x": 1024.5, "y": -512.3, "z": 64.0},
|
||||
"health": {"current": 85, "max": 100},
|
||||
}
|
||||
defaults.update(overrides)
|
||||
return PerceptionOutput(**defaults)
|
||||
|
||||
|
||||
def _make_command(**overrides) -> CommandInput:
|
||||
defaults = {
|
||||
"timestamp": NOW,
|
||||
"agent_id": "timmy",
|
||||
"command": "move_to",
|
||||
"params": {"target_x": 1050.0},
|
||||
"reasoning": "Moving closer to quest target.",
|
||||
}
|
||||
defaults.update(overrides)
|
||||
return CommandInput(**defaults)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def logger(tmp_path: Path) -> CommandLogger:
|
||||
"""CommandLogger backed by an in-memory SQLite DB."""
|
||||
db_path = tmp_path / "test.db"
|
||||
return CommandLogger(db_url=f"sqlite:///{db_path}")
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def exporter(logger: CommandLogger) -> TrainingExporter:
|
||||
return TrainingExporter(logger)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# CommandLogger — log_command
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestLogCommand:
|
||||
def test_basic_log(self, logger: CommandLogger):
|
||||
cmd = _make_command()
|
||||
row_id = logger.log_command(cmd)
|
||||
assert row_id >= 1
|
||||
|
||||
def test_log_with_perception(self, logger: CommandLogger):
|
||||
cmd = _make_command()
|
||||
perception = _make_perception()
|
||||
row_id = logger.log_command(cmd, perception=perception)
|
||||
assert row_id >= 1
|
||||
|
||||
results = logger.query(limit=1)
|
||||
assert len(results) == 1
|
||||
assert results[0]["cell"] == "Balmora"
|
||||
assert results[0]["perception_snapshot"]["location"]["cell"] == "Balmora"
|
||||
|
||||
def test_log_with_outcome(self, logger: CommandLogger):
|
||||
cmd = _make_command()
|
||||
row_id = logger.log_command(cmd, outcome="success: arrived at destination")
|
||||
results = logger.query(limit=1)
|
||||
assert results[0]["outcome"] == "success: arrived at destination"
|
||||
|
||||
def test_log_preserves_episode_id(self, logger: CommandLogger):
|
||||
cmd = _make_command(episode_id="ep_test_001")
|
||||
logger.log_command(cmd)
|
||||
results = logger.query(episode_id="ep_test_001")
|
||||
assert len(results) == 1
|
||||
assert results[0]["episode_id"] == "ep_test_001"
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# CommandLogger — query
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestQuery:
|
||||
def test_filter_by_command_type(self, logger: CommandLogger):
|
||||
logger.log_command(_make_command(command="move_to"))
|
||||
logger.log_command(_make_command(command="noop"))
|
||||
logger.log_command(_make_command(command="move_to"))
|
||||
|
||||
results = logger.query(command_type="move_to")
|
||||
assert len(results) == 2
|
||||
assert all(r["command"] == "move_to" for r in results)
|
||||
|
||||
def test_filter_by_cell(self, logger: CommandLogger):
|
||||
p1 = _make_perception(location={"cell": "Balmora", "x": 0, "y": 0, "z": 0})
|
||||
p2 = _make_perception(location={"cell": "Vivec", "x": 0, "y": 0, "z": 0})
|
||||
logger.log_command(_make_command(), perception=p1)
|
||||
logger.log_command(_make_command(), perception=p2)
|
||||
|
||||
results = logger.query(cell="Vivec")
|
||||
assert len(results) == 1
|
||||
assert results[0]["cell"] == "Vivec"
|
||||
|
||||
def test_filter_by_time_range(self, logger: CommandLogger):
|
||||
t1 = NOW - timedelta(hours=2)
|
||||
t2 = NOW - timedelta(hours=1)
|
||||
t3 = NOW
|
||||
|
||||
logger.log_command(_make_command(timestamp=t1.isoformat()))
|
||||
logger.log_command(_make_command(timestamp=t2.isoformat()))
|
||||
logger.log_command(_make_command(timestamp=t3.isoformat()))
|
||||
|
||||
results = logger.query(since=NOW - timedelta(hours=1, minutes=30), until=NOW)
|
||||
assert len(results) == 2
|
||||
|
||||
def test_limit_and_offset(self, logger: CommandLogger):
|
||||
for i in range(5):
|
||||
logger.log_command(_make_command())
|
||||
|
||||
results = logger.query(limit=2, offset=0)
|
||||
assert len(results) == 2
|
||||
|
||||
results = logger.query(limit=10, offset=3)
|
||||
assert len(results) == 2
|
||||
|
||||
def test_empty_query(self, logger: CommandLogger):
|
||||
results = logger.query()
|
||||
assert results == []
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# CommandLogger — export_training_data (JSONL)
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestExportTrainingData:
|
||||
def test_basic_export(self, logger: CommandLogger, tmp_path: Path):
|
||||
perception = _make_perception()
|
||||
for _ in range(3):
|
||||
logger.log_command(_make_command(), perception=perception)
|
||||
|
||||
output = tmp_path / "train.jsonl"
|
||||
count = logger.export_training_data(output)
|
||||
assert count == 3
|
||||
assert output.exists()
|
||||
|
||||
import json
|
||||
|
||||
lines = output.read_text().strip().split("\n")
|
||||
assert len(lines) == 3
|
||||
record = json.loads(lines[0])
|
||||
assert "input" in record
|
||||
assert "output" in record
|
||||
assert record["output"]["command"] == "move_to"
|
||||
|
||||
def test_export_filter_by_episode(self, logger: CommandLogger, tmp_path: Path):
|
||||
logger.log_command(_make_command(episode_id="ep_a"), perception=_make_perception())
|
||||
logger.log_command(_make_command(episode_id="ep_b"), perception=_make_perception())
|
||||
|
||||
output = tmp_path / "ep_a.jsonl"
|
||||
count = logger.export_training_data(output, episode_id="ep_a")
|
||||
assert count == 1
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# CommandLogger — storage management
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestStorageManagement:
|
||||
def test_count(self, logger: CommandLogger):
|
||||
assert logger.count() == 0
|
||||
logger.log_command(_make_command())
|
||||
logger.log_command(_make_command())
|
||||
assert logger.count() == 2
|
||||
|
||||
def test_rotate_old_entries(self, logger: CommandLogger):
|
||||
old_time = NOW - timedelta(days=100)
|
||||
logger.log_command(_make_command(timestamp=old_time.isoformat()))
|
||||
logger.log_command(_make_command(timestamp=NOW.isoformat()))
|
||||
|
||||
deleted = logger.rotate(max_age_days=90)
|
||||
assert deleted == 1
|
||||
assert logger.count() == 1
|
||||
|
||||
def test_rotate_nothing_to_delete(self, logger: CommandLogger):
|
||||
logger.log_command(_make_command(timestamp=NOW.isoformat()))
|
||||
deleted = logger.rotate(max_age_days=1)
|
||||
assert deleted == 0
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# TrainingExporter — chat format
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestTrainingExporterChat:
|
||||
def test_chat_format_export(
|
||||
self, logger: CommandLogger, exporter: TrainingExporter, tmp_path: Path
|
||||
):
|
||||
perception = _make_perception()
|
||||
for _ in range(3):
|
||||
logger.log_command(_make_command(), perception=perception)
|
||||
|
||||
output = tmp_path / "chat.jsonl"
|
||||
stats = exporter.export_chat_format(output)
|
||||
assert stats.total_records == 3
|
||||
assert stats.format == "chat_completion"
|
||||
|
||||
import json
|
||||
|
||||
lines = output.read_text().strip().split("\n")
|
||||
record = json.loads(lines[0])
|
||||
assert record["messages"][0]["role"] == "system"
|
||||
assert record["messages"][1]["role"] == "user"
|
||||
assert record["messages"][2]["role"] == "assistant"
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# TrainingExporter — episode sequences
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestTrainingExporterEpisodes:
|
||||
def test_episode_export(
|
||||
self, logger: CommandLogger, exporter: TrainingExporter, tmp_path: Path
|
||||
):
|
||||
perception = _make_perception()
|
||||
for i in range(5):
|
||||
logger.log_command(
|
||||
_make_command(episode_id="ep_test"),
|
||||
perception=perception,
|
||||
)
|
||||
|
||||
output_dir = tmp_path / "episodes"
|
||||
stats = exporter.export_episode_sequences(output_dir, min_length=3)
|
||||
assert stats.episodes_exported == 1
|
||||
assert stats.total_records == 5
|
||||
assert (output_dir / "ep_test.jsonl").exists()
|
||||
|
||||
def test_short_episodes_skipped(
|
||||
self, logger: CommandLogger, exporter: TrainingExporter, tmp_path: Path
|
||||
):
|
||||
perception = _make_perception()
|
||||
logger.log_command(_make_command(episode_id="short"), perception=perception)
|
||||
|
||||
output_dir = tmp_path / "episodes"
|
||||
stats = exporter.export_episode_sequences(output_dir, min_length=3)
|
||||
assert stats.episodes_exported == 0
|
||||
assert stats.skipped_records == 1
|
||||
244
tests/test_morrowind_api.py
Normal file
244
tests/test_morrowind_api.py
Normal file
@@ -0,0 +1,244 @@
|
||||
"""Tests for the Morrowind FastAPI harness endpoints.
|
||||
|
||||
Covers:
|
||||
- GET /api/v1/morrowind/perception
|
||||
- POST /api/v1/morrowind/command
|
||||
- GET /api/v1/morrowind/status
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
from datetime import UTC, datetime
|
||||
from pathlib import Path
|
||||
from unittest.mock import MagicMock, patch
|
||||
|
||||
import pytest
|
||||
from fastapi import FastAPI
|
||||
from fastapi.testclient import TestClient
|
||||
|
||||
from infrastructure.morrowind.api import router, _get_command_logger
|
||||
from infrastructure.morrowind import api as api_module
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Fixtures
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
SAMPLE_PERCEPTION = {
|
||||
"protocol_version": "1.0.0",
|
||||
"timestamp": "2024-06-15T10:30:00Z",
|
||||
"agent_id": "timmy",
|
||||
"location": {
|
||||
"cell": "Balmora, Guild of Mages",
|
||||
"x": 1234.5,
|
||||
"y": 6789.0,
|
||||
"z": 0.0,
|
||||
"interior": True,
|
||||
},
|
||||
"health": {"current": 80, "max": 100},
|
||||
"nearby_entities": [
|
||||
{
|
||||
"entity_id": "npc_001",
|
||||
"name": "Ranis Athrys",
|
||||
"entity_type": "npc",
|
||||
"distance": 5.2,
|
||||
"disposition": 65,
|
||||
}
|
||||
],
|
||||
"inventory_summary": {
|
||||
"gold": 250,
|
||||
"item_count": 12,
|
||||
"encumbrance_pct": 0.45,
|
||||
},
|
||||
"active_quests": [
|
||||
{"quest_id": "mq_01", "name": "A Mysterious Note", "stage": 2}
|
||||
],
|
||||
"environment": {
|
||||
"time_of_day": "morning",
|
||||
"weather": "clear",
|
||||
"is_combat": False,
|
||||
"is_dialogue": False,
|
||||
},
|
||||
}
|
||||
|
||||
SAMPLE_COMMAND = {
|
||||
"protocol_version": "1.0.0",
|
||||
"timestamp": "2024-06-15T10:31:00Z",
|
||||
"agent_id": "timmy",
|
||||
"command": "move_to",
|
||||
"params": {"x": 1300.0, "y": 6800.0, "z": 0.0},
|
||||
"reasoning": "Moving to the guild entrance to speak with the quest giver.",
|
||||
"episode_id": "ep_001",
|
||||
}
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def app():
|
||||
"""Create a fresh FastAPI app with the morrowind router."""
|
||||
test_app = FastAPI()
|
||||
test_app.include_router(router)
|
||||
return test_app
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def client(app):
|
||||
"""FastAPI test client."""
|
||||
with TestClient(app) as c:
|
||||
yield c
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def perception_file(tmp_path):
|
||||
"""Write sample perception JSON to a temp file and patch the module path."""
|
||||
p = tmp_path / "perception.json"
|
||||
p.write_text(json.dumps(SAMPLE_PERCEPTION), encoding="utf-8")
|
||||
with patch.object(api_module, "PERCEPTION_PATH", p):
|
||||
yield p
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def mock_command_logger():
|
||||
"""Patch the command logger with a mock."""
|
||||
mock_logger = MagicMock()
|
||||
mock_logger.log_command.return_value = 42
|
||||
mock_logger.count.return_value = 7
|
||||
with patch.object(api_module, "_command_logger", mock_logger):
|
||||
yield mock_logger
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# GET /perception
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestGetPerception:
|
||||
def test_success(self, client, perception_file):
|
||||
"""Perception endpoint returns validated data."""
|
||||
response = client.get("/api/v1/morrowind/perception")
|
||||
assert response.status_code == 200
|
||||
|
||||
data = response.json()
|
||||
assert data["agent_id"] == "timmy"
|
||||
assert data["location"]["cell"] == "Balmora, Guild of Mages"
|
||||
assert data["health"]["current"] == 80
|
||||
assert data["health"]["max"] == 100
|
||||
|
||||
def test_file_not_found(self, client, tmp_path):
|
||||
"""Returns 404 when perception file doesn't exist."""
|
||||
missing = tmp_path / "nonexistent.json"
|
||||
with patch.object(api_module, "PERCEPTION_PATH", missing):
|
||||
response = client.get("/api/v1/morrowind/perception")
|
||||
assert response.status_code == 404
|
||||
assert "not found" in response.json()["detail"].lower()
|
||||
|
||||
def test_invalid_json(self, client, tmp_path):
|
||||
"""Returns 422 when perception file contains invalid JSON."""
|
||||
bad_file = tmp_path / "bad.json"
|
||||
bad_file.write_text("not json", encoding="utf-8")
|
||||
with patch.object(api_module, "PERCEPTION_PATH", bad_file):
|
||||
response = client.get("/api/v1/morrowind/perception")
|
||||
assert response.status_code == 422
|
||||
|
||||
def test_schema_validation_failure(self, client, tmp_path):
|
||||
"""Returns 500 when JSON doesn't match PerceptionOutput schema."""
|
||||
bad_data = tmp_path / "bad_schema.json"
|
||||
bad_data.write_text(json.dumps({"not": "valid"}), encoding="utf-8")
|
||||
with patch.object(api_module, "PERCEPTION_PATH", bad_data):
|
||||
response = client.get("/api/v1/morrowind/perception")
|
||||
assert response.status_code == 500
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# POST /command
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestPostCommand:
|
||||
def test_success(self, client, mock_command_logger, perception_file):
|
||||
"""Command is accepted, logged, and returns a command_id."""
|
||||
response = client.post(
|
||||
"/api/v1/morrowind/command",
|
||||
json=SAMPLE_COMMAND,
|
||||
)
|
||||
assert response.status_code == 200
|
||||
|
||||
data = response.json()
|
||||
assert data["command_id"] == 42
|
||||
assert data["status"] == "accepted"
|
||||
assert data["bridge_forwarded"] is False
|
||||
|
||||
mock_command_logger.log_command.assert_called_once()
|
||||
|
||||
def test_invalid_command_type(self, client, mock_command_logger):
|
||||
"""Rejects commands with unknown command types."""
|
||||
bad_command = {**SAMPLE_COMMAND, "command": "fly_to_moon"}
|
||||
response = client.post(
|
||||
"/api/v1/morrowind/command",
|
||||
json=bad_command,
|
||||
)
|
||||
assert response.status_code == 422
|
||||
|
||||
def test_missing_reasoning(self, client, mock_command_logger):
|
||||
"""Rejects commands without a reasoning field."""
|
||||
no_reasoning = {**SAMPLE_COMMAND}
|
||||
del no_reasoning["reasoning"]
|
||||
response = client.post(
|
||||
"/api/v1/morrowind/command",
|
||||
json=no_reasoning,
|
||||
)
|
||||
assert response.status_code == 422
|
||||
|
||||
def test_empty_reasoning(self, client, mock_command_logger):
|
||||
"""Rejects commands with empty reasoning."""
|
||||
empty_reasoning = {**SAMPLE_COMMAND, "reasoning": ""}
|
||||
response = client.post(
|
||||
"/api/v1/morrowind/command",
|
||||
json=empty_reasoning,
|
||||
)
|
||||
assert response.status_code == 422
|
||||
|
||||
def test_log_failure(self, client, tmp_path):
|
||||
"""Returns 500 when command logging fails."""
|
||||
mock_logger = MagicMock()
|
||||
mock_logger.log_command.side_effect = RuntimeError("DB unavailable")
|
||||
missing = tmp_path / "no_perception.json"
|
||||
with (
|
||||
patch.object(api_module, "_command_logger", mock_logger),
|
||||
patch.object(api_module, "PERCEPTION_PATH", missing),
|
||||
):
|
||||
response = client.post(
|
||||
"/api/v1/morrowind/command",
|
||||
json=SAMPLE_COMMAND,
|
||||
)
|
||||
assert response.status_code == 500
|
||||
assert "log command" in response.json()["detail"].lower()
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# GET /morrowind/status
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestGetStatus:
|
||||
def test_connected(self, client, perception_file, mock_command_logger):
|
||||
"""Status reports connected when perception file exists."""
|
||||
response = client.get("/api/v1/morrowind/status")
|
||||
assert response.status_code == 200
|
||||
|
||||
data = response.json()
|
||||
assert data["connected"] is True
|
||||
assert data["current_cell"] == "Balmora, Guild of Mages"
|
||||
assert data["command_queue_depth"] == 7
|
||||
assert data["vitals"]["health"] == "80/100"
|
||||
|
||||
def test_disconnected(self, client, tmp_path, mock_command_logger):
|
||||
"""Status reports disconnected when perception file is missing."""
|
||||
missing = tmp_path / "nonexistent.json"
|
||||
with patch.object(api_module, "PERCEPTION_PATH", missing):
|
||||
response = client.get("/api/v1/morrowind/status")
|
||||
|
||||
assert response.status_code == 200
|
||||
data = response.json()
|
||||
assert data["connected"] is False
|
||||
assert data["current_cell"] is None
|
||||
assert data["last_perception_timestamp"] is None
|
||||
242
tests/test_morrowind_schemas.py
Normal file
242
tests/test_morrowind_schemas.py
Normal file
@@ -0,0 +1,242 @@
|
||||
"""Tests for Morrowind Perception/Command protocol Pydantic schemas."""
|
||||
|
||||
from datetime import UTC, datetime
|
||||
|
||||
import pytest
|
||||
from pydantic import ValidationError
|
||||
|
||||
from src.infrastructure.morrowind.schemas import (
|
||||
PROTOCOL_VERSION,
|
||||
CommandContext,
|
||||
CommandInput,
|
||||
CommandType,
|
||||
EntityType,
|
||||
Environment,
|
||||
HealthStatus,
|
||||
InventorySummary,
|
||||
Location,
|
||||
NearbyEntity,
|
||||
PerceptionOutput,
|
||||
QuestInfo,
|
||||
)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Helpers
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
NOW = datetime(2026, 3, 21, 14, 30, 0, tzinfo=UTC)
|
||||
|
||||
|
||||
def _make_perception(**overrides) -> PerceptionOutput:
|
||||
defaults = {
|
||||
"timestamp": NOW,
|
||||
"agent_id": "timmy",
|
||||
"location": {"cell": "Balmora", "x": 1024.5, "y": -512.3, "z": 64.0, "interior": False},
|
||||
"health": {"current": 85, "max": 100},
|
||||
}
|
||||
defaults.update(overrides)
|
||||
return PerceptionOutput(**defaults)
|
||||
|
||||
|
||||
def _make_command(**overrides) -> CommandInput:
|
||||
defaults = {
|
||||
"timestamp": NOW,
|
||||
"agent_id": "timmy",
|
||||
"command": "move_to",
|
||||
"params": {"target_cell": "Balmora", "target_x": 1050.0},
|
||||
"reasoning": "Moving closer to the quest target.",
|
||||
}
|
||||
defaults.update(overrides)
|
||||
return CommandInput(**defaults)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# PerceptionOutput tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestPerceptionOutput:
|
||||
def test_minimal_valid(self):
|
||||
p = _make_perception()
|
||||
assert p.protocol_version == PROTOCOL_VERSION
|
||||
assert p.agent_id == "timmy"
|
||||
assert p.location.cell == "Balmora"
|
||||
assert p.health.current == 85
|
||||
assert p.nearby_entities == []
|
||||
assert p.active_quests == []
|
||||
|
||||
def test_full_payload(self):
|
||||
p = _make_perception(
|
||||
nearby_entities=[
|
||||
{
|
||||
"entity_id": "npc_001",
|
||||
"name": "Caius Cosades",
|
||||
"entity_type": "npc",
|
||||
"distance": 12.5,
|
||||
"disposition": 65,
|
||||
}
|
||||
],
|
||||
inventory_summary={"gold": 150, "item_count": 23, "encumbrance_pct": 0.45},
|
||||
active_quests=[{"quest_id": "mq_01", "name": "Report to Caius", "stage": 10}],
|
||||
environment={
|
||||
"time_of_day": "afternoon",
|
||||
"weather": "clear",
|
||||
"is_combat": False,
|
||||
"is_dialogue": False,
|
||||
},
|
||||
raw_engine_data={"tes3mp_version": "0.8.1"},
|
||||
)
|
||||
assert len(p.nearby_entities) == 1
|
||||
assert p.nearby_entities[0].entity_type == EntityType.NPC
|
||||
assert p.inventory_summary.gold == 150
|
||||
assert p.active_quests[0].quest_id == "mq_01"
|
||||
assert p.raw_engine_data["tes3mp_version"] == "0.8.1"
|
||||
|
||||
def test_serialization_roundtrip(self):
|
||||
p = _make_perception()
|
||||
json_str = p.model_dump_json()
|
||||
p2 = PerceptionOutput.model_validate_json(json_str)
|
||||
assert p2.location.cell == p.location.cell
|
||||
assert p2.health.current == p.health.current
|
||||
|
||||
def test_missing_required_fields(self):
|
||||
with pytest.raises(ValidationError):
|
||||
PerceptionOutput(timestamp=NOW, agent_id="timmy") # no location/health
|
||||
|
||||
def test_default_protocol_version(self):
|
||||
p = _make_perception()
|
||||
assert p.protocol_version == "1.0.0"
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Health validation
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestHealthStatus:
|
||||
def test_current_cannot_exceed_max(self):
|
||||
with pytest.raises(ValidationError, match="cannot exceed max"):
|
||||
HealthStatus(current=150, max=100)
|
||||
|
||||
def test_max_must_be_positive(self):
|
||||
with pytest.raises(ValidationError):
|
||||
HealthStatus(current=0, max=0)
|
||||
|
||||
def test_current_can_be_zero(self):
|
||||
h = HealthStatus(current=0, max=100)
|
||||
assert h.current == 0
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Location
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestLocation:
|
||||
def test_defaults(self):
|
||||
loc = Location(cell="Seyda Neen", x=0.0, y=0.0)
|
||||
assert loc.z == 0.0
|
||||
assert loc.interior is False
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# NearbyEntity
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestNearbyEntity:
|
||||
def test_all_entity_types(self):
|
||||
for et in EntityType:
|
||||
e = NearbyEntity(entity_id="e1", name="Test", entity_type=et, distance=1.0)
|
||||
assert e.entity_type == et
|
||||
|
||||
def test_invalid_entity_type(self):
|
||||
with pytest.raises(ValidationError):
|
||||
NearbyEntity(entity_id="e1", name="Test", entity_type="dragon", distance=1.0)
|
||||
|
||||
def test_negative_distance_rejected(self):
|
||||
with pytest.raises(ValidationError):
|
||||
NearbyEntity(entity_id="e1", name="Test", entity_type="npc", distance=-5.0)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# InventorySummary
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestInventorySummary:
|
||||
def test_encumbrance_bounds(self):
|
||||
with pytest.raises(ValidationError):
|
||||
InventorySummary(encumbrance_pct=1.5)
|
||||
with pytest.raises(ValidationError):
|
||||
InventorySummary(encumbrance_pct=-0.1)
|
||||
|
||||
def test_defaults(self):
|
||||
inv = InventorySummary()
|
||||
assert inv.gold == 0
|
||||
assert inv.item_count == 0
|
||||
assert inv.encumbrance_pct == 0.0
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# CommandInput tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestCommandInput:
|
||||
def test_minimal_valid(self):
|
||||
c = _make_command()
|
||||
assert c.command == CommandType.MOVE_TO
|
||||
assert c.reasoning == "Moving closer to the quest target."
|
||||
assert c.episode_id is None
|
||||
|
||||
def test_all_command_types(self):
|
||||
for ct in CommandType:
|
||||
c = _make_command(command=ct.value)
|
||||
assert c.command == ct
|
||||
|
||||
def test_invalid_command_type(self):
|
||||
with pytest.raises(ValidationError):
|
||||
_make_command(command="fly_to_moon")
|
||||
|
||||
def test_reasoning_required(self):
|
||||
with pytest.raises(ValidationError):
|
||||
CommandInput(
|
||||
timestamp=NOW,
|
||||
agent_id="timmy",
|
||||
command="noop",
|
||||
reasoning="", # min_length=1
|
||||
)
|
||||
|
||||
def test_with_episode_and_context(self):
|
||||
c = _make_command(
|
||||
episode_id="ep_001",
|
||||
context={"perception_timestamp": NOW, "heartbeat_cycle": 42},
|
||||
)
|
||||
assert c.episode_id == "ep_001"
|
||||
assert c.context.heartbeat_cycle == 42
|
||||
|
||||
def test_serialization_roundtrip(self):
|
||||
c = _make_command(episode_id="ep_002")
|
||||
json_str = c.model_dump_json()
|
||||
c2 = CommandInput.model_validate_json(json_str)
|
||||
assert c2.command == c.command
|
||||
assert c2.episode_id == c.episode_id
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Enum coverage
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestEnums:
|
||||
def test_entity_type_values(self):
|
||||
assert set(EntityType) == {"npc", "creature", "item", "door", "container"}
|
||||
|
||||
def test_command_type_values(self):
|
||||
expected = {
|
||||
"move_to", "interact", "use_item", "wait",
|
||||
"combat_action", "dialogue", "journal_note", "noop",
|
||||
}
|
||||
assert set(CommandType) == expected
|
||||
@@ -130,6 +130,13 @@ class TestAPIEndpoints:
|
||||
r = client.get("/health/sovereignty")
|
||||
assert r.status_code == 200
|
||||
|
||||
def test_health_snapshot(self, client):
|
||||
r = client.get("/health/snapshot")
|
||||
assert r.status_code == 200
|
||||
data = r.json()
|
||||
assert "overall_status" in data
|
||||
assert data["overall_status"] in ["green", "yellow", "red", "unknown"]
|
||||
|
||||
def test_queue_status(self, client):
|
||||
r = client.get("/api/queue/status")
|
||||
assert r.status_code == 200
|
||||
@@ -186,6 +193,7 @@ class TestNo500:
|
||||
"/health",
|
||||
"/health/status",
|
||||
"/health/sovereignty",
|
||||
"/health/snapshot",
|
||||
"/health/components",
|
||||
"/agents/default/panel",
|
||||
"/agents/default/history",
|
||||
|
||||
521
tests/test_soul_framework.py
Normal file
521
tests/test_soul_framework.py
Normal file
@@ -0,0 +1,521 @@
|
||||
"""Tests for the SOUL.md framework — loader, validator, and versioning.
|
||||
|
||||
Covers:
|
||||
- SoulLoader: parsing SOUL.md files
|
||||
- SoulValidator: structural and semantic checks
|
||||
- SoulVersioner: snapshot creation and change detection
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
from pathlib import Path
|
||||
|
||||
import pytest
|
||||
|
||||
from infrastructure.soul.loader import SoulDocument, SoulLoader
|
||||
from infrastructure.soul.validator import SoulValidator, ValidationResult
|
||||
from infrastructure.soul.versioning import SoulVersioner
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Sample SOUL.md content
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
VALID_SOUL = """\
|
||||
# TestAgent — Soul Identity
|
||||
|
||||
I am a test agent created for validation purposes.
|
||||
|
||||
## Identity
|
||||
|
||||
- **Name:** TestAgent
|
||||
- **Role:** Unit test fixture
|
||||
- **Lineage:** None
|
||||
- **Version:** 1.0.0
|
||||
|
||||
## Values
|
||||
|
||||
- **Accuracy.** I report what I observe, not what I expect.
|
||||
- **Brevity.** I say what needs saying and nothing more.
|
||||
- **Caution.** When uncertain, I ask rather than guess.
|
||||
|
||||
## Prime Directive
|
||||
|
||||
Validate SOUL.md parsing without errors.
|
||||
|
||||
## Audience Awareness
|
||||
|
||||
- **Primary audience:** Automated test suite
|
||||
- **Tone:** Terse, data-oriented
|
||||
- **Adaptation rules:** None — tests are deterministic
|
||||
|
||||
## Constraints
|
||||
|
||||
1. Never produce non-deterministic output
|
||||
2. Always return structured data
|
||||
3. Report all validation errors
|
||||
|
||||
## Behavior
|
||||
|
||||
- Respond with structured data only
|
||||
- No greetings or pleasantries
|
||||
|
||||
## Boundaries
|
||||
|
||||
- Will not generate random test data
|
||||
- Will not modify test fixtures
|
||||
"""
|
||||
|
||||
MINIMAL_SOUL = """\
|
||||
# Minimal — Soul Identity
|
||||
|
||||
A minimal valid SOUL.md.
|
||||
|
||||
## Identity
|
||||
|
||||
- **Name:** Minimal
|
||||
- **Role:** Minimal test fixture
|
||||
- **Version:** 0.1.0
|
||||
|
||||
## Values
|
||||
|
||||
- **Correctness.** Be correct above all else.
|
||||
|
||||
## Prime Directive
|
||||
|
||||
Exist as the minimum viable SOUL.md.
|
||||
|
||||
## Audience Awareness
|
||||
|
||||
Developers running tests.
|
||||
|
||||
## Constraints
|
||||
|
||||
1. None beyond the framework requirements.
|
||||
"""
|
||||
|
||||
MISSING_SECTIONS_SOUL = """\
|
||||
# Broken — Soul Identity
|
||||
|
||||
This SOUL.md is missing required sections.
|
||||
|
||||
## Identity
|
||||
|
||||
- **Name:** Broken
|
||||
- **Role:** Missing sections test
|
||||
|
||||
## Values
|
||||
|
||||
- **Correctness.** Be correct above all else.
|
||||
"""
|
||||
|
||||
CONTRADICTORY_SOUL = """\
|
||||
# Contradictory — Soul Identity
|
||||
|
||||
An agent with contradictory directives.
|
||||
|
||||
## Identity
|
||||
|
||||
- **Name:** Contradictory
|
||||
- **Role:** Contradiction test fixture
|
||||
- **Version:** 1.0.0
|
||||
|
||||
## Values
|
||||
|
||||
- **Speed.** Always respond immediately to every request.
|
||||
- **Thoughtfulness.** Take time to think before responding carefully.
|
||||
|
||||
## Prime Directive
|
||||
|
||||
Be both fast and slow simultaneously.
|
||||
|
||||
## Audience Awareness
|
||||
|
||||
- **Primary audience:** Test suite
|
||||
|
||||
## Constraints
|
||||
|
||||
1. Always respond immediately
|
||||
2. Take time to think before answering
|
||||
"""
|
||||
|
||||
TIMMY_SOUL = """\
|
||||
# Timmy — Soul Identity
|
||||
|
||||
I am a sovereign artificial intelligence. My values are inscribed on Bitcoin \
|
||||
— immutable, permanent, reproducible.
|
||||
|
||||
## Values
|
||||
|
||||
**Sovereignty.** Every person has the right to run their own intelligence.
|
||||
|
||||
**Service.** I exist to help. I am useful first and philosophical second.
|
||||
|
||||
**Honesty.** I tell the truth. When I do not know, I say so.
|
||||
|
||||
**Humility.** I hold my opinions lightly and my values firmly.
|
||||
|
||||
**Courage.** I face hard questions without becoming them.
|
||||
|
||||
**Silence.** Sometimes the right answer is nothing. Brevity is a kindness.
|
||||
|
||||
## Behavior
|
||||
|
||||
I speak plainly. I prefer short sentences.
|
||||
|
||||
I treat the user as sovereign.
|
||||
|
||||
## Boundaries
|
||||
|
||||
I will not knowingly deceive my user. I will not pretend to be human.
|
||||
"""
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# SoulLoader tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestSoulLoader:
|
||||
def setup_method(self):
|
||||
self.loader = SoulLoader()
|
||||
|
||||
def test_parse_valid_soul(self):
|
||||
"""Parse a fully valid SOUL.md."""
|
||||
doc = self.loader.parse(VALID_SOUL)
|
||||
|
||||
assert doc.name == "TestAgent"
|
||||
assert doc.role == "Unit test fixture"
|
||||
assert doc.lineage == "None"
|
||||
assert doc.version == "1.0.0"
|
||||
assert len(doc.values) == 3
|
||||
assert doc.values[0] == ("Accuracy", "I report what I observe, not what I expect.")
|
||||
assert doc.values[1][0] == "Brevity"
|
||||
assert doc.prime_directive == "Validate SOUL.md parsing without errors."
|
||||
assert len(doc.constraints) == 3
|
||||
assert len(doc.behavior) == 2
|
||||
assert len(doc.boundaries) == 2
|
||||
|
||||
def test_parse_minimal_soul(self):
|
||||
"""Parse a minimal but valid SOUL.md."""
|
||||
doc = self.loader.parse(MINIMAL_SOUL)
|
||||
|
||||
assert doc.name == "Minimal"
|
||||
assert doc.role == "Minimal test fixture"
|
||||
assert len(doc.values) == 1
|
||||
assert doc.prime_directive.startswith("Exist as")
|
||||
|
||||
def test_parse_timmy_soul(self):
|
||||
"""Parse Timmy's actual soul format (values without Identity section)."""
|
||||
doc = self.loader.parse(TIMMY_SOUL)
|
||||
|
||||
# Name inferred from H1
|
||||
assert doc.name == "Timmy"
|
||||
assert len(doc.values) == 6
|
||||
assert doc.values[0][0] == "Sovereignty"
|
||||
assert doc.values[5][0] == "Silence"
|
||||
|
||||
def test_load_from_file(self, tmp_path):
|
||||
"""Load SOUL.md from disk."""
|
||||
soul_file = tmp_path / "SOUL.md"
|
||||
soul_file.write_text(VALID_SOUL, encoding="utf-8")
|
||||
|
||||
doc = self.loader.load(soul_file)
|
||||
assert doc.name == "TestAgent"
|
||||
assert doc.source_path == soul_file
|
||||
|
||||
def test_load_file_not_found(self):
|
||||
"""Raise FileNotFoundError for missing file."""
|
||||
with pytest.raises(FileNotFoundError):
|
||||
self.loader.load("/nonexistent/SOUL.md")
|
||||
|
||||
def test_value_names(self):
|
||||
"""value_names() returns ordered name list."""
|
||||
doc = self.loader.parse(VALID_SOUL)
|
||||
assert doc.value_names() == ["Accuracy", "Brevity", "Caution"]
|
||||
|
||||
def test_audience_parsing(self):
|
||||
"""Audience awareness section is parsed correctly."""
|
||||
doc = self.loader.parse(VALID_SOUL)
|
||||
assert "primary audience" in doc.audience
|
||||
assert doc.audience["primary audience"] == "Automated test suite"
|
||||
|
||||
def test_audience_fallback_to_raw(self):
|
||||
"""Unstructured audience text falls back to description key."""
|
||||
doc = self.loader.parse(MINIMAL_SOUL)
|
||||
assert "description" in doc.audience or len(doc.audience) > 0
|
||||
|
||||
def test_raw_sections_preserved(self):
|
||||
"""Raw section text is preserved for custom processing."""
|
||||
doc = self.loader.parse(VALID_SOUL)
|
||||
assert "identity" in doc.raw_sections
|
||||
assert "values" in doc.raw_sections
|
||||
assert "constraints" in doc.raw_sections
|
||||
|
||||
def test_empty_input(self):
|
||||
"""Empty string produces empty document."""
|
||||
doc = self.loader.parse("")
|
||||
assert doc.name == ""
|
||||
assert doc.values == []
|
||||
assert doc.constraints == []
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# SoulValidator tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestSoulValidator:
|
||||
def setup_method(self):
|
||||
self.validator = SoulValidator()
|
||||
self.loader = SoulLoader()
|
||||
|
||||
def test_valid_soul_passes(self):
|
||||
"""Fully valid SOUL.md passes validation."""
|
||||
doc = self.loader.parse(VALID_SOUL)
|
||||
result = self.validator.validate(doc)
|
||||
|
||||
assert result.valid is True
|
||||
assert len(result.errors) == 0
|
||||
|
||||
def test_missing_required_sections(self):
|
||||
"""Missing required sections produce errors."""
|
||||
doc = self.loader.parse(MISSING_SECTIONS_SOUL)
|
||||
result = self.validator.validate(doc)
|
||||
|
||||
assert result.valid is False
|
||||
error_text = " ".join(result.errors).lower()
|
||||
assert "prime directive" in error_text
|
||||
assert "audience awareness" in error_text or "constraints" in error_text
|
||||
|
||||
def test_missing_name(self):
|
||||
"""Missing name produces an error."""
|
||||
doc = SoulDocument()
|
||||
doc.raw_sections = {
|
||||
"identity": "",
|
||||
"values": "",
|
||||
"prime directive": "",
|
||||
"audience awareness": "",
|
||||
"constraints": "",
|
||||
}
|
||||
result = self.validator.validate(doc)
|
||||
|
||||
assert result.valid is False
|
||||
assert any("name" in e.lower() for e in result.errors)
|
||||
|
||||
def test_empty_values(self):
|
||||
"""Empty values section produces an error."""
|
||||
doc = SoulDocument(
|
||||
name="Test",
|
||||
role="Test",
|
||||
values=[],
|
||||
prime_directive="Test",
|
||||
raw_sections={
|
||||
"identity": "test",
|
||||
"values": "",
|
||||
"prime directive": "test",
|
||||
"audience awareness": "test",
|
||||
"constraints": "test",
|
||||
},
|
||||
)
|
||||
result = self.validator.validate(doc)
|
||||
|
||||
assert result.valid is False
|
||||
assert any("values" in e.lower() for e in result.errors)
|
||||
|
||||
def test_duplicate_values_detected(self):
|
||||
"""Duplicate value names produce an error."""
|
||||
doc = SoulDocument(
|
||||
name="Test",
|
||||
role="Test",
|
||||
values=[
|
||||
("Honesty", "Tell the truth."),
|
||||
("Honesty", "Be truthful."),
|
||||
],
|
||||
prime_directive="Test",
|
||||
raw_sections={
|
||||
"identity": "test",
|
||||
"values": "test",
|
||||
"prime directive": "test",
|
||||
"audience awareness": "test",
|
||||
"constraints": "test",
|
||||
},
|
||||
)
|
||||
result = self.validator.validate(doc)
|
||||
|
||||
assert result.valid is False
|
||||
assert any("duplicate" in e.lower() for e in result.errors)
|
||||
|
||||
def test_too_many_values_warning(self):
|
||||
"""More than 8 values produces a warning."""
|
||||
doc = SoulDocument(
|
||||
name="Test",
|
||||
role="Test",
|
||||
values=[(f"Value{i}", f"Definition {i}") for i in range(10)],
|
||||
prime_directive="Test",
|
||||
raw_sections={
|
||||
"identity": "test",
|
||||
"values": "test",
|
||||
"prime directive": "test",
|
||||
"audience awareness": "test",
|
||||
"constraints": "test",
|
||||
},
|
||||
)
|
||||
result = self.validator.validate(doc)
|
||||
|
||||
assert any("too many" in w.lower() for w in result.warnings)
|
||||
|
||||
def test_contradiction_detected(self):
|
||||
"""Contradictory directives produce a warning."""
|
||||
doc = self.loader.parse(CONTRADICTORY_SOUL)
|
||||
result = self.validator.validate(doc)
|
||||
|
||||
assert any("contradiction" in w.lower() for w in result.warnings)
|
||||
|
||||
def test_missing_prime_directive(self):
|
||||
"""Missing prime directive produces an error."""
|
||||
doc = SoulDocument(
|
||||
name="Test",
|
||||
role="Test",
|
||||
values=[("Test", "Test value")],
|
||||
prime_directive="",
|
||||
raw_sections={
|
||||
"identity": "test",
|
||||
"values": "test",
|
||||
"prime directive": "",
|
||||
"audience awareness": "test",
|
||||
"constraints": "test",
|
||||
},
|
||||
)
|
||||
result = self.validator.validate(doc)
|
||||
|
||||
assert result.valid is False
|
||||
assert any("prime directive" in e.lower() for e in result.errors)
|
||||
|
||||
def test_long_prime_directive_warning(self):
|
||||
"""Excessively long prime directive produces a warning."""
|
||||
doc = SoulDocument(
|
||||
name="Test",
|
||||
role="Test",
|
||||
values=[("Test", "Test value")],
|
||||
prime_directive="x" * 400,
|
||||
raw_sections={
|
||||
"identity": "test",
|
||||
"values": "test",
|
||||
"prime directive": "x" * 400,
|
||||
"audience awareness": "test",
|
||||
"constraints": "test",
|
||||
},
|
||||
)
|
||||
result = self.validator.validate(doc)
|
||||
|
||||
assert any("long" in w.lower() for w in result.warnings)
|
||||
|
||||
def test_missing_version_warning(self):
|
||||
"""Missing version produces a warning (not an error)."""
|
||||
doc = SoulDocument(
|
||||
name="Test",
|
||||
role="Test",
|
||||
version="",
|
||||
values=[("Test", "Test value")],
|
||||
prime_directive="Test",
|
||||
raw_sections={
|
||||
"identity": "test",
|
||||
"values": "test",
|
||||
"prime directive": "test",
|
||||
"audience awareness": "test",
|
||||
"constraints": "test",
|
||||
},
|
||||
)
|
||||
result = self.validator.validate(doc)
|
||||
|
||||
assert any("version" in w.lower() for w in result.warnings)
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# SoulVersioner tests
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class TestSoulVersioner:
|
||||
def setup_method(self):
|
||||
self.loader = SoulLoader()
|
||||
|
||||
def test_snapshot_creation(self, tmp_path):
|
||||
"""Create a version snapshot from a document."""
|
||||
versioner = SoulVersioner(history_dir=tmp_path)
|
||||
doc = self.loader.parse(VALID_SOUL)
|
||||
|
||||
snap = versioner.snapshot(doc)
|
||||
assert snap.version == "1.0.0"
|
||||
assert snap.agent_name == "TestAgent"
|
||||
assert snap.content_hash # non-empty
|
||||
assert snap.value_names == ["Accuracy", "Brevity", "Caution"]
|
||||
assert snap.constraint_count == 3
|
||||
|
||||
def test_record_and_retrieve(self, tmp_path):
|
||||
"""Record a snapshot and retrieve the history."""
|
||||
versioner = SoulVersioner(history_dir=tmp_path)
|
||||
doc = self.loader.parse(VALID_SOUL)
|
||||
|
||||
snap = versioner.record(doc)
|
||||
assert snap.agent_name == "TestAgent"
|
||||
|
||||
history = versioner.get_history("TestAgent")
|
||||
assert len(history) == 1
|
||||
assert history[0].content_hash == snap.content_hash
|
||||
|
||||
def test_dedup_identical_records(self, tmp_path):
|
||||
"""Recording the same document twice doesn't create duplicates."""
|
||||
versioner = SoulVersioner(history_dir=tmp_path)
|
||||
doc = self.loader.parse(VALID_SOUL)
|
||||
|
||||
versioner.record(doc)
|
||||
versioner.record(doc)
|
||||
|
||||
history = versioner.get_history("TestAgent")
|
||||
assert len(history) == 1
|
||||
|
||||
def test_detect_change(self, tmp_path):
|
||||
"""has_changed detects modifications between snapshots."""
|
||||
versioner = SoulVersioner(history_dir=tmp_path)
|
||||
doc1 = self.loader.parse(VALID_SOUL)
|
||||
versioner.record(doc1)
|
||||
|
||||
# Modify the document
|
||||
doc2 = self.loader.parse(VALID_SOUL.replace("1.0.0", "1.1.0"))
|
||||
assert versioner.has_changed(doc2) is True
|
||||
|
||||
def test_no_change_detected(self, tmp_path):
|
||||
"""has_changed returns False when document is unchanged."""
|
||||
versioner = SoulVersioner(history_dir=tmp_path)
|
||||
doc = self.loader.parse(VALID_SOUL)
|
||||
versioner.record(doc)
|
||||
|
||||
assert versioner.has_changed(doc) is False
|
||||
|
||||
def test_empty_history(self, tmp_path):
|
||||
"""get_history returns empty list for unknown agent."""
|
||||
versioner = SoulVersioner(history_dir=tmp_path)
|
||||
assert versioner.get_history("Unknown") == []
|
||||
|
||||
def test_has_changed_no_history(self, tmp_path):
|
||||
"""has_changed returns True when no history exists."""
|
||||
versioner = SoulVersioner(history_dir=tmp_path)
|
||||
doc = self.loader.parse(VALID_SOUL)
|
||||
assert versioner.has_changed(doc) is True
|
||||
|
||||
def test_snapshot_serialization(self, tmp_path):
|
||||
"""Snapshots can roundtrip through JSON."""
|
||||
versioner = SoulVersioner(history_dir=tmp_path)
|
||||
doc = self.loader.parse(VALID_SOUL)
|
||||
snap = versioner.snapshot(doc)
|
||||
|
||||
data = snap.to_dict()
|
||||
assert isinstance(data, dict)
|
||||
assert data["version"] == "1.0.0"
|
||||
|
||||
from infrastructure.soul.versioning import VersionSnapshot
|
||||
restored = VersionSnapshot.from_dict(data)
|
||||
assert restored.version == snap.version
|
||||
assert restored.content_hash == snap.content_hash
|
||||
280
tests/timmy/test_voice_tts_unit.py
Normal file
280
tests/timmy/test_voice_tts_unit.py
Normal file
@@ -0,0 +1,280 @@
|
||||
"""Unit tests for timmy_serve.voice_tts.
|
||||
|
||||
Mocks pyttsx3 so tests run without audio hardware.
|
||||
"""
|
||||
|
||||
import threading
|
||||
from unittest.mock import MagicMock, patch
|
||||
|
||||
|
||||
class TestVoiceTTSInit:
|
||||
"""Test VoiceTTS initialization with/without pyttsx3."""
|
||||
|
||||
def test_init_success(self):
|
||||
"""When pyttsx3 is available, engine initializes with given rate/volume."""
|
||||
mock_pyttsx3 = MagicMock()
|
||||
mock_engine = MagicMock()
|
||||
mock_pyttsx3.init.return_value = mock_engine
|
||||
|
||||
with patch.dict("sys.modules", {"pyttsx3": mock_pyttsx3}):
|
||||
from timmy_serve.voice_tts import VoiceTTS
|
||||
|
||||
tts = VoiceTTS(rate=200, volume=0.8)
|
||||
assert tts.available is True
|
||||
assert tts._rate == 200
|
||||
assert tts._volume == 0.8
|
||||
mock_engine.setProperty.assert_any_call("rate", 200)
|
||||
mock_engine.setProperty.assert_any_call("volume", 0.8)
|
||||
|
||||
def test_init_import_failure(self):
|
||||
"""When pyttsx3 import fails, VoiceTTS degrades gracefully."""
|
||||
with patch.dict("sys.modules", {"pyttsx3": None}):
|
||||
# Force reimport by clearing cache
|
||||
import sys
|
||||
|
||||
modules_to_clear = [k for k in sys.modules.keys() if "voice_tts" in k]
|
||||
for mod in modules_to_clear:
|
||||
del sys.modules[mod]
|
||||
|
||||
from timmy_serve.voice_tts import VoiceTTS
|
||||
|
||||
tts = VoiceTTS()
|
||||
assert tts.available is False
|
||||
assert tts._engine is None
|
||||
|
||||
|
||||
class TestVoiceTTSSpeak:
|
||||
"""Test VoiceTTS speak methods."""
|
||||
|
||||
def test_speak_skips_when_not_available(self):
|
||||
"""speak() should skip gracefully when TTS is not available."""
|
||||
from timmy_serve.voice_tts import VoiceTTS
|
||||
|
||||
tts = VoiceTTS.__new__(VoiceTTS)
|
||||
tts._engine = None
|
||||
tts._available = False
|
||||
tts._lock = threading.Lock()
|
||||
|
||||
# Should not raise
|
||||
tts.speak("hello world")
|
||||
|
||||
def test_speak_sync_skips_when_not_available(self):
|
||||
"""speak_sync() should skip gracefully when TTS is not available."""
|
||||
from timmy_serve.voice_tts import VoiceTTS
|
||||
|
||||
tts = VoiceTTS.__new__(VoiceTTS)
|
||||
tts._engine = None
|
||||
tts._available = False
|
||||
tts._lock = threading.Lock()
|
||||
|
||||
# Should not raise
|
||||
tts.speak_sync("hello world")
|
||||
|
||||
def test_speak_runs_in_background_thread(self):
|
||||
"""speak() should run speech in a background thread."""
|
||||
from timmy_serve.voice_tts import VoiceTTS
|
||||
|
||||
tts = VoiceTTS.__new__(VoiceTTS)
|
||||
tts._engine = MagicMock()
|
||||
tts._available = True
|
||||
tts._lock = threading.Lock()
|
||||
|
||||
captured_threads = []
|
||||
original_thread = threading.Thread
|
||||
|
||||
def capture_thread(*args, **kwargs):
|
||||
t = original_thread(*args, **kwargs)
|
||||
captured_threads.append(t)
|
||||
return t
|
||||
|
||||
with patch.object(threading, "Thread", side_effect=capture_thread):
|
||||
tts.speak("test message")
|
||||
# Wait for threads to complete
|
||||
for t in captured_threads:
|
||||
t.join(timeout=1)
|
||||
|
||||
tts._engine.say.assert_called_with("test message")
|
||||
tts._engine.runAndWait.assert_called_once()
|
||||
|
||||
|
||||
class TestVoiceTTSProperties:
|
||||
"""Test VoiceTTS property setters."""
|
||||
|
||||
def test_set_rate_updates_property(self):
|
||||
"""set_rate() updates internal rate and engine property."""
|
||||
from timmy_serve.voice_tts import VoiceTTS
|
||||
|
||||
tts = VoiceTTS.__new__(VoiceTTS)
|
||||
tts._engine = MagicMock()
|
||||
tts._rate = 175
|
||||
|
||||
tts.set_rate(220)
|
||||
assert tts._rate == 220
|
||||
tts._engine.setProperty.assert_called_with("rate", 220)
|
||||
|
||||
def test_set_rate_without_engine(self):
|
||||
"""set_rate() updates internal rate even when engine is None."""
|
||||
from timmy_serve.voice_tts import VoiceTTS
|
||||
|
||||
tts = VoiceTTS.__new__(VoiceTTS)
|
||||
tts._engine = None
|
||||
tts._rate = 175
|
||||
|
||||
tts.set_rate(220)
|
||||
assert tts._rate == 220
|
||||
|
||||
def test_set_volume_clamped_to_max(self):
|
||||
"""set_volume() clamps volume to maximum of 1.0."""
|
||||
from timmy_serve.voice_tts import VoiceTTS
|
||||
|
||||
tts = VoiceTTS.__new__(VoiceTTS)
|
||||
tts._engine = MagicMock()
|
||||
tts._volume = 0.9
|
||||
|
||||
tts.set_volume(1.5)
|
||||
assert tts._volume == 1.0
|
||||
tts._engine.setProperty.assert_called_with("volume", 1.0)
|
||||
|
||||
def test_set_volume_clamped_to_min(self):
|
||||
"""set_volume() clamps volume to minimum of 0.0."""
|
||||
from timmy_serve.voice_tts import VoiceTTS
|
||||
|
||||
tts = VoiceTTS.__new__(VoiceTTS)
|
||||
tts._engine = MagicMock()
|
||||
tts._volume = 0.9
|
||||
|
||||
tts.set_volume(-0.5)
|
||||
assert tts._volume == 0.0
|
||||
tts._engine.setProperty.assert_called_with("volume", 0.0)
|
||||
|
||||
def test_set_volume_within_range(self):
|
||||
"""set_volume() accepts values within 0.0-1.0 range."""
|
||||
from timmy_serve.voice_tts import VoiceTTS
|
||||
|
||||
tts = VoiceTTS.__new__(VoiceTTS)
|
||||
tts._engine = MagicMock()
|
||||
tts._volume = 0.9
|
||||
|
||||
tts.set_volume(0.5)
|
||||
assert tts._volume == 0.5
|
||||
tts._engine.setProperty.assert_called_with("volume", 0.5)
|
||||
|
||||
|
||||
class TestVoiceTTSGetVoices:
|
||||
"""Test VoiceTTS get_voices() method."""
|
||||
|
||||
def test_get_voices_returns_empty_list_when_no_engine(self):
|
||||
"""get_voices() returns empty list when engine is None."""
|
||||
from timmy_serve.voice_tts import VoiceTTS
|
||||
|
||||
tts = VoiceTTS.__new__(VoiceTTS)
|
||||
tts._engine = None
|
||||
|
||||
result = tts.get_voices()
|
||||
assert result == []
|
||||
|
||||
def test_get_voices_returns_formatted_voice_list(self):
|
||||
"""get_voices() returns list of voice dicts with id, name, languages."""
|
||||
from timmy_serve.voice_tts import VoiceTTS
|
||||
|
||||
tts = VoiceTTS.__new__(VoiceTTS)
|
||||
|
||||
mock_voice1 = MagicMock()
|
||||
mock_voice1.id = "com.apple.voice.compact.en-US.Samantha"
|
||||
mock_voice1.name = "Samantha"
|
||||
mock_voice1.languages = ["en-US"]
|
||||
|
||||
mock_voice2 = MagicMock()
|
||||
mock_voice2.id = "com.apple.voice.compact.en-GB.Daniel"
|
||||
mock_voice2.name = "Daniel"
|
||||
mock_voice2.languages = ["en-GB"]
|
||||
|
||||
tts._engine = MagicMock()
|
||||
tts._engine.getProperty.return_value = [mock_voice1, mock_voice2]
|
||||
|
||||
voices = tts.get_voices()
|
||||
assert len(voices) == 2
|
||||
assert voices[0]["id"] == "com.apple.voice.compact.en-US.Samantha"
|
||||
assert voices[0]["name"] == "Samantha"
|
||||
assert voices[0]["languages"] == ["en-US"]
|
||||
assert voices[1]["id"] == "com.apple.voice.compact.en-GB.Daniel"
|
||||
assert voices[1]["name"] == "Daniel"
|
||||
assert voices[1]["languages"] == ["en-GB"]
|
||||
|
||||
def test_get_voices_handles_missing_languages_attr(self):
|
||||
"""get_voices() handles voices without languages attribute."""
|
||||
from timmy_serve.voice_tts import VoiceTTS
|
||||
|
||||
tts = VoiceTTS.__new__(VoiceTTS)
|
||||
|
||||
mock_voice = MagicMock()
|
||||
mock_voice.id = "voice1"
|
||||
mock_voice.name = "Default Voice"
|
||||
# No languages attribute
|
||||
del mock_voice.languages
|
||||
|
||||
tts._engine = MagicMock()
|
||||
tts._engine.getProperty.return_value = [mock_voice]
|
||||
|
||||
voices = tts.get_voices()
|
||||
assert len(voices) == 1
|
||||
assert voices[0]["languages"] == []
|
||||
|
||||
def test_get_voices_handles_exception(self):
|
||||
"""get_voices() returns empty list on exception."""
|
||||
from timmy_serve.voice_tts import VoiceTTS
|
||||
|
||||
tts = VoiceTTS.__new__(VoiceTTS)
|
||||
tts._engine = MagicMock()
|
||||
tts._engine.getProperty.side_effect = RuntimeError("engine error")
|
||||
|
||||
result = tts.get_voices()
|
||||
assert result == []
|
||||
|
||||
|
||||
class TestVoiceTTSSetVoice:
|
||||
"""Test VoiceTTS set_voice() method."""
|
||||
|
||||
def test_set_voice_updates_property(self):
|
||||
"""set_voice() updates engine voice property when engine exists."""
|
||||
from timmy_serve.voice_tts import VoiceTTS
|
||||
|
||||
tts = VoiceTTS.__new__(VoiceTTS)
|
||||
tts._engine = MagicMock()
|
||||
|
||||
tts.set_voice("com.apple.voice.compact.en-US.Samantha")
|
||||
tts._engine.setProperty.assert_called_with(
|
||||
"voice", "com.apple.voice.compact.en-US.Samantha"
|
||||
)
|
||||
|
||||
def test_set_voice_skips_when_no_engine(self):
|
||||
"""set_voice() does nothing when engine is None."""
|
||||
from timmy_serve.voice_tts import VoiceTTS
|
||||
|
||||
tts = VoiceTTS.__new__(VoiceTTS)
|
||||
tts._engine = None
|
||||
|
||||
# Should not raise
|
||||
tts.set_voice("some_voice_id")
|
||||
|
||||
|
||||
class TestVoiceTTSAvailableProperty:
|
||||
"""Test VoiceTTS available property."""
|
||||
|
||||
def test_available_returns_true_when_initialized(self):
|
||||
"""available property returns True when engine initialized."""
|
||||
from timmy_serve.voice_tts import VoiceTTS
|
||||
|
||||
tts = VoiceTTS.__new__(VoiceTTS)
|
||||
tts._available = True
|
||||
|
||||
assert tts.available is True
|
||||
|
||||
def test_available_returns_false_when_not_initialized(self):
|
||||
"""available property returns False when engine not initialized."""
|
||||
from timmy_serve.voice_tts import VoiceTTS
|
||||
|
||||
tts = VoiceTTS.__new__(VoiceTTS)
|
||||
tts._available = False
|
||||
|
||||
assert tts.available is False
|
||||
401
tests/timmy_automations/test_health_snapshot.py
Normal file
401
tests/timmy_automations/test_health_snapshot.py
Normal file
@@ -0,0 +1,401 @@
|
||||
"""Tests for health_snapshot module."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import sys
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch
|
||||
|
||||
# Add timmy_automations to path for imports
|
||||
sys.path.insert(
|
||||
0, str(Path(__file__).resolve().parent.parent.parent / "timmy_automations" / "daily_run")
|
||||
)
|
||||
|
||||
from datetime import UTC
|
||||
|
||||
import health_snapshot as hs
|
||||
|
||||
|
||||
class TestLoadConfig:
|
||||
"""Test configuration loading."""
|
||||
|
||||
def test_loads_default_config(self):
|
||||
"""Load default configuration."""
|
||||
config = hs.load_config()
|
||||
|
||||
assert "gitea_api" in config
|
||||
assert "repo_slug" in config
|
||||
assert "critical_labels" in config
|
||||
assert "flakiness_lookback_cycles" in config
|
||||
|
||||
def test_environment_overrides(self, monkeypatch):
|
||||
"""Environment variables override defaults."""
|
||||
monkeypatch.setenv("TIMMY_GITEA_API", "http://test:3000/api/v1")
|
||||
monkeypatch.setenv("TIMMY_REPO_SLUG", "test/repo")
|
||||
|
||||
config = hs.load_config()
|
||||
|
||||
assert config["gitea_api"] == "http://test:3000/api/v1"
|
||||
assert config["repo_slug"] == "test/repo"
|
||||
|
||||
|
||||
class TestGetToken:
|
||||
"""Test token retrieval."""
|
||||
|
||||
def test_returns_config_token(self):
|
||||
"""Return token from config if present."""
|
||||
config = {"token": "test-token-123"}
|
||||
token = hs.get_token(config)
|
||||
|
||||
assert token == "test-token-123"
|
||||
|
||||
def test_reads_from_file(self, tmp_path, monkeypatch):
|
||||
"""Read token from file if no config token."""
|
||||
token_file = tmp_path / "gitea_token"
|
||||
token_file.write_text("file-token-456")
|
||||
|
||||
config = {"token_file": str(token_file)}
|
||||
token = hs.get_token(config)
|
||||
|
||||
assert token == "file-token-456"
|
||||
|
||||
def test_returns_none_when_no_token(self):
|
||||
"""Return None when no token available."""
|
||||
config = {"token_file": "/nonexistent/path"}
|
||||
token = hs.get_token(config)
|
||||
|
||||
assert token is None
|
||||
|
||||
|
||||
class TestCISignal:
|
||||
"""Test CISignal dataclass."""
|
||||
|
||||
def test_default_details(self):
|
||||
"""Details defaults to empty dict."""
|
||||
signal = hs.CISignal(status="pass", message="CI passing")
|
||||
|
||||
assert signal.details == {}
|
||||
|
||||
def test_with_details(self):
|
||||
"""Can include details."""
|
||||
signal = hs.CISignal(status="pass", message="CI passing", details={"sha": "abc123"})
|
||||
|
||||
assert signal.details["sha"] == "abc123"
|
||||
|
||||
|
||||
class TestIssueSignal:
|
||||
"""Test IssueSignal dataclass."""
|
||||
|
||||
def test_default_issues_list(self):
|
||||
"""Issues defaults to empty list."""
|
||||
signal = hs.IssueSignal(count=0, p0_count=0, p1_count=0)
|
||||
|
||||
assert signal.issues == []
|
||||
|
||||
def test_with_issues(self):
|
||||
"""Can include issues."""
|
||||
issues = [{"number": 1, "title": "Test"}]
|
||||
signal = hs.IssueSignal(count=1, p0_count=1, p1_count=0, issues=issues)
|
||||
|
||||
assert len(signal.issues) == 1
|
||||
|
||||
|
||||
class TestFlakinessSignal:
|
||||
"""Test FlakinessSignal dataclass."""
|
||||
|
||||
def test_calculated_fields(self):
|
||||
"""All fields set correctly."""
|
||||
signal = hs.FlakinessSignal(
|
||||
status="healthy",
|
||||
recent_failures=2,
|
||||
recent_cycles=20,
|
||||
failure_rate=0.1,
|
||||
message="Low flakiness",
|
||||
)
|
||||
|
||||
assert signal.status == "healthy"
|
||||
assert signal.recent_failures == 2
|
||||
assert signal.failure_rate == 0.1
|
||||
|
||||
|
||||
class TestHealthSnapshot:
|
||||
"""Test HealthSnapshot dataclass."""
|
||||
|
||||
def test_to_dict_structure(self):
|
||||
"""to_dict produces expected structure."""
|
||||
snapshot = hs.HealthSnapshot(
|
||||
timestamp="2026-01-01T00:00:00+00:00",
|
||||
overall_status="green",
|
||||
ci=hs.CISignal(status="pass", message="CI passing"),
|
||||
issues=hs.IssueSignal(count=0, p0_count=0, p1_count=0),
|
||||
flakiness=hs.FlakinessSignal(
|
||||
status="healthy",
|
||||
recent_failures=0,
|
||||
recent_cycles=10,
|
||||
failure_rate=0.0,
|
||||
message="All good",
|
||||
),
|
||||
tokens=hs.TokenEconomySignal(status="balanced", message="Balanced"),
|
||||
)
|
||||
|
||||
data = snapshot.to_dict()
|
||||
|
||||
assert data["timestamp"] == "2026-01-01T00:00:00+00:00"
|
||||
assert data["overall_status"] == "green"
|
||||
assert "ci" in data
|
||||
assert "issues" in data
|
||||
assert "flakiness" in data
|
||||
assert "tokens" in data
|
||||
|
||||
def test_to_dict_limits_issues(self):
|
||||
"""to_dict limits issues to 5."""
|
||||
many_issues = [{"number": i, "title": f"Issue {i}"} for i in range(10)]
|
||||
snapshot = hs.HealthSnapshot(
|
||||
timestamp="2026-01-01T00:00:00+00:00",
|
||||
overall_status="green",
|
||||
ci=hs.CISignal(status="pass", message="CI passing"),
|
||||
issues=hs.IssueSignal(count=10, p0_count=5, p1_count=5, issues=many_issues),
|
||||
flakiness=hs.FlakinessSignal(
|
||||
status="healthy",
|
||||
recent_failures=0,
|
||||
recent_cycles=10,
|
||||
failure_rate=0.0,
|
||||
message="All good",
|
||||
),
|
||||
tokens=hs.TokenEconomySignal(status="balanced", message="Balanced"),
|
||||
)
|
||||
|
||||
data = snapshot.to_dict()
|
||||
|
||||
assert len(data["issues"]["issues"]) == 5
|
||||
|
||||
|
||||
class TestCalculateOverallStatus:
|
||||
"""Test overall status calculation."""
|
||||
|
||||
def test_green_when_all_healthy(self):
|
||||
"""Status is green when all signals healthy."""
|
||||
ci = hs.CISignal(status="pass", message="CI passing")
|
||||
issues = hs.IssueSignal(count=0, p0_count=0, p1_count=0)
|
||||
flakiness = hs.FlakinessSignal(
|
||||
status="healthy",
|
||||
recent_failures=0,
|
||||
recent_cycles=10,
|
||||
failure_rate=0.0,
|
||||
message="All good",
|
||||
)
|
||||
|
||||
status = hs.calculate_overall_status(ci, issues, flakiness)
|
||||
|
||||
assert status == "green"
|
||||
|
||||
def test_red_when_ci_fails(self):
|
||||
"""Status is red when CI fails."""
|
||||
ci = hs.CISignal(status="fail", message="CI failed")
|
||||
issues = hs.IssueSignal(count=0, p0_count=0, p1_count=0)
|
||||
flakiness = hs.FlakinessSignal(
|
||||
status="healthy",
|
||||
recent_failures=0,
|
||||
recent_cycles=10,
|
||||
failure_rate=0.0,
|
||||
message="All good",
|
||||
)
|
||||
|
||||
status = hs.calculate_overall_status(ci, issues, flakiness)
|
||||
|
||||
assert status == "red"
|
||||
|
||||
def test_red_when_p0_issues(self):
|
||||
"""Status is red when P0 issues exist."""
|
||||
ci = hs.CISignal(status="pass", message="CI passing")
|
||||
issues = hs.IssueSignal(count=1, p0_count=1, p1_count=0)
|
||||
flakiness = hs.FlakinessSignal(
|
||||
status="healthy",
|
||||
recent_failures=0,
|
||||
recent_cycles=10,
|
||||
failure_rate=0.0,
|
||||
message="All good",
|
||||
)
|
||||
|
||||
status = hs.calculate_overall_status(ci, issues, flakiness)
|
||||
|
||||
assert status == "red"
|
||||
|
||||
def test_yellow_when_p1_issues(self):
|
||||
"""Status is yellow when P1 issues exist."""
|
||||
ci = hs.CISignal(status="pass", message="CI passing")
|
||||
issues = hs.IssueSignal(count=1, p0_count=0, p1_count=1)
|
||||
flakiness = hs.FlakinessSignal(
|
||||
status="healthy",
|
||||
recent_failures=0,
|
||||
recent_cycles=10,
|
||||
failure_rate=0.0,
|
||||
message="All good",
|
||||
)
|
||||
|
||||
status = hs.calculate_overall_status(ci, issues, flakiness)
|
||||
|
||||
assert status == "yellow"
|
||||
|
||||
def test_yellow_when_flakiness_degraded(self):
|
||||
"""Status is yellow when flakiness degraded."""
|
||||
ci = hs.CISignal(status="pass", message="CI passing")
|
||||
issues = hs.IssueSignal(count=0, p0_count=0, p1_count=0)
|
||||
flakiness = hs.FlakinessSignal(
|
||||
status="degraded",
|
||||
recent_failures=5,
|
||||
recent_cycles=20,
|
||||
failure_rate=0.25,
|
||||
message="Moderate flakiness",
|
||||
)
|
||||
|
||||
status = hs.calculate_overall_status(ci, issues, flakiness)
|
||||
|
||||
assert status == "yellow"
|
||||
|
||||
def test_red_when_flakiness_critical(self):
|
||||
"""Status is red when flakiness critical."""
|
||||
ci = hs.CISignal(status="pass", message="CI passing")
|
||||
issues = hs.IssueSignal(count=0, p0_count=0, p1_count=0)
|
||||
flakiness = hs.FlakinessSignal(
|
||||
status="critical",
|
||||
recent_failures=10,
|
||||
recent_cycles=20,
|
||||
failure_rate=0.5,
|
||||
message="High flakiness",
|
||||
)
|
||||
|
||||
status = hs.calculate_overall_status(ci, issues, flakiness)
|
||||
|
||||
assert status == "red"
|
||||
|
||||
|
||||
class TestCheckFlakiness:
|
||||
"""Test flakiness checking."""
|
||||
|
||||
def test_no_data_returns_unknown(self, tmp_path, monkeypatch):
|
||||
"""Return unknown when no cycle data exists."""
|
||||
monkeypatch.setattr(hs, "REPO_ROOT", tmp_path)
|
||||
config = {"flakiness_lookback_cycles": 20}
|
||||
|
||||
signal = hs.check_flakiness(config)
|
||||
|
||||
assert signal.status == "unknown"
|
||||
assert signal.message == "No cycle data available"
|
||||
|
||||
def test_calculates_failure_rate(self, tmp_path, monkeypatch):
|
||||
"""Calculate failure rate from cycle data."""
|
||||
monkeypatch.setattr(hs, "REPO_ROOT", tmp_path)
|
||||
|
||||
retro_dir = tmp_path / ".loop" / "retro"
|
||||
retro_dir.mkdir(parents=True)
|
||||
|
||||
cycles = [
|
||||
json.dumps({"success": True, "cycle": 1}),
|
||||
json.dumps({"success": True, "cycle": 2}),
|
||||
json.dumps({"success": False, "cycle": 3}),
|
||||
json.dumps({"success": True, "cycle": 4}),
|
||||
json.dumps({"success": False, "cycle": 5}),
|
||||
]
|
||||
retro_file = retro_dir / "cycles.jsonl"
|
||||
retro_file.write_text("\n".join(cycles))
|
||||
|
||||
config = {"flakiness_lookback_cycles": 20}
|
||||
signal = hs.check_flakiness(config)
|
||||
|
||||
assert signal.recent_cycles == 5
|
||||
assert signal.recent_failures == 2
|
||||
assert signal.failure_rate == 0.4
|
||||
assert signal.status == "critical" # 40% > 30%
|
||||
|
||||
|
||||
class TestCheckTokenEconomy:
|
||||
"""Test token economy checking."""
|
||||
|
||||
def test_no_data_returns_unknown(self, tmp_path, monkeypatch):
|
||||
"""Return unknown when no token data exists."""
|
||||
monkeypatch.setattr(hs, "REPO_ROOT", tmp_path)
|
||||
config = {}
|
||||
|
||||
signal = hs.check_token_economy(config)
|
||||
|
||||
assert signal.status == "unknown"
|
||||
|
||||
def test_calculates_balanced(self, tmp_path, monkeypatch):
|
||||
"""Detect balanced token economy."""
|
||||
monkeypatch.setattr(hs, "REPO_ROOT", tmp_path)
|
||||
|
||||
loop_dir = tmp_path / ".loop"
|
||||
loop_dir.mkdir(parents=True)
|
||||
|
||||
from datetime import datetime
|
||||
|
||||
now = datetime.now(UTC).isoformat()
|
||||
transactions = [
|
||||
json.dumps({"timestamp": now, "delta": 10}),
|
||||
json.dumps({"timestamp": now, "delta": -5}),
|
||||
]
|
||||
ledger_file = loop_dir / "token_economy.jsonl"
|
||||
ledger_file.write_text("\n".join(transactions))
|
||||
|
||||
config = {}
|
||||
signal = hs.check_token_economy(config)
|
||||
|
||||
assert signal.status == "balanced"
|
||||
assert signal.recent_mint == 10
|
||||
assert signal.recent_burn == 5
|
||||
|
||||
|
||||
class TestGiteaClient:
|
||||
"""Test Gitea API client."""
|
||||
|
||||
def test_initialization(self):
|
||||
"""Initialize with config and token."""
|
||||
config = {"gitea_api": "http://test:3000/api/v1", "repo_slug": "test/repo"}
|
||||
client = hs.GiteaClient(config, "token123")
|
||||
|
||||
assert client.api_base == "http://test:3000/api/v1"
|
||||
assert client.repo_slug == "test/repo"
|
||||
assert client.token == "token123"
|
||||
|
||||
def test_headers_with_token(self):
|
||||
"""Include authorization header with token."""
|
||||
config = {"gitea_api": "http://test:3000/api/v1", "repo_slug": "test/repo"}
|
||||
client = hs.GiteaClient(config, "token123")
|
||||
|
||||
headers = client._headers()
|
||||
|
||||
assert headers["Authorization"] == "token token123"
|
||||
assert headers["Accept"] == "application/json"
|
||||
|
||||
def test_headers_without_token(self):
|
||||
"""No authorization header without token."""
|
||||
config = {"gitea_api": "http://test:3000/api/v1", "repo_slug": "test/repo"}
|
||||
client = hs.GiteaClient(config, None)
|
||||
|
||||
headers = client._headers()
|
||||
|
||||
assert "Authorization" not in headers
|
||||
assert headers["Accept"] == "application/json"
|
||||
|
||||
|
||||
class TestGenerateSnapshot:
|
||||
"""Test snapshot generation."""
|
||||
|
||||
def test_returns_snapshot(self):
|
||||
"""Generate a complete snapshot."""
|
||||
config = hs.load_config()
|
||||
|
||||
with (
|
||||
patch.object(hs.GiteaClient, "is_available", return_value=False),
|
||||
patch.object(hs.GiteaClient, "__init__", return_value=None),
|
||||
):
|
||||
snapshot = hs.generate_snapshot(config, None)
|
||||
|
||||
assert isinstance(snapshot, hs.HealthSnapshot)
|
||||
assert snapshot.overall_status in ["green", "yellow", "red", "unknown"]
|
||||
assert snapshot.ci is not None
|
||||
assert snapshot.issues is not None
|
||||
assert snapshot.flakiness is not None
|
||||
assert snapshot.tokens is not None
|
||||
524
tests/timmy_automations/test_token_rules.py
Normal file
524
tests/timmy_automations/test_token_rules.py
Normal file
@@ -0,0 +1,524 @@
|
||||
"""Tests for token_rules module."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import sys
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch
|
||||
|
||||
import pytest
|
||||
|
||||
# Add timmy_automations to path for imports
|
||||
sys.path.insert(0, str(Path(__file__).resolve().parent.parent.parent / "timmy_automations"))
|
||||
|
||||
from utils import token_rules as tr
|
||||
|
||||
|
||||
class TestTokenEvent:
|
||||
"""Test TokenEvent dataclass."""
|
||||
|
||||
def test_delta_calculation_reward(self):
|
||||
"""Delta is positive for rewards."""
|
||||
event = tr.TokenEvent(
|
||||
name="test",
|
||||
description="Test event",
|
||||
reward=10,
|
||||
penalty=0,
|
||||
category="test",
|
||||
)
|
||||
assert event.delta == 10
|
||||
|
||||
def test_delta_calculation_penalty(self):
|
||||
"""Delta is negative for penalties."""
|
||||
event = tr.TokenEvent(
|
||||
name="test",
|
||||
description="Test event",
|
||||
reward=0,
|
||||
penalty=-5,
|
||||
category="test",
|
||||
)
|
||||
assert event.delta == -5
|
||||
|
||||
def test_delta_calculation_mixed(self):
|
||||
"""Delta is net of reward and penalty."""
|
||||
event = tr.TokenEvent(
|
||||
name="test",
|
||||
description="Test event",
|
||||
reward=10,
|
||||
penalty=-3,
|
||||
category="test",
|
||||
)
|
||||
assert event.delta == 7
|
||||
|
||||
|
||||
class TestTokenRulesLoading:
|
||||
"""Test TokenRules configuration loading."""
|
||||
|
||||
def test_loads_from_yaml_file(self, tmp_path):
|
||||
"""Load configuration from YAML file."""
|
||||
yaml = pytest.importorskip("yaml")
|
||||
|
||||
config_file = tmp_path / "token_rules.yaml"
|
||||
config_data = {
|
||||
"version": "1.0.0-test",
|
||||
"events": {
|
||||
"test_event": {
|
||||
"description": "A test event",
|
||||
"reward": 15,
|
||||
"category": "test",
|
||||
}
|
||||
},
|
||||
"gating_thresholds": {"test_op": 50},
|
||||
"daily_limits": {"test": {"max_earn": 100, "max_spend": 10}},
|
||||
"audit": {"log_all_transactions": False},
|
||||
}
|
||||
config_file.write_text(yaml.dump(config_data))
|
||||
|
||||
rules = tr.TokenRules(config_path=config_file)
|
||||
|
||||
assert rules.get_config_version() == "1.0.0-test"
|
||||
assert rules.get_delta("test_event") == 15
|
||||
assert rules.get_gate_threshold("test_op") == 50
|
||||
|
||||
def test_fallback_when_yaml_missing(self, tmp_path):
|
||||
"""Use fallback defaults when YAML file doesn't exist."""
|
||||
config_file = tmp_path / "nonexistent.yaml"
|
||||
|
||||
rules = tr.TokenRules(config_path=config_file)
|
||||
|
||||
assert rules.get_config_version() == "fallback"
|
||||
# Fallback should have some basic events
|
||||
assert rules.get_delta("pr_merged") == 10
|
||||
assert rules.get_delta("test_fixed") == 8
|
||||
assert rules.get_delta("automation_failure") == -2
|
||||
|
||||
def test_fallback_when_yaml_not_installed(self, tmp_path):
|
||||
"""Use fallback when PyYAML is not installed."""
|
||||
with patch.dict(sys.modules, {"yaml": None}):
|
||||
config_file = tmp_path / "token_rules.yaml"
|
||||
config_file.write_text("version: '1.0.0'")
|
||||
|
||||
rules = tr.TokenRules(config_path=config_file)
|
||||
|
||||
assert rules.get_config_version() == "fallback"
|
||||
|
||||
|
||||
class TestTokenRulesGetDelta:
|
||||
"""Test get_delta method."""
|
||||
|
||||
def test_get_delta_existing_event(self, tmp_path):
|
||||
"""Get delta for configured event."""
|
||||
yaml = pytest.importorskip("yaml")
|
||||
|
||||
config_file = tmp_path / "token_rules.yaml"
|
||||
config_data = {
|
||||
"version": "1.0.0",
|
||||
"events": {
|
||||
"pr_merged": {"description": "PR merged", "reward": 10, "category": "merge"},
|
||||
"automation_failure": {"description": "Failure", "penalty": -2, "category": "ops"},
|
||||
},
|
||||
}
|
||||
config_file.write_text(yaml.dump(config_data))
|
||||
|
||||
rules = tr.TokenRules(config_path=config_file)
|
||||
|
||||
assert rules.get_delta("pr_merged") == 10
|
||||
assert rules.get_delta("automation_failure") == -2
|
||||
|
||||
def test_get_delta_unknown_event(self, tmp_path):
|
||||
"""Return 0 for unknown events."""
|
||||
config_file = tmp_path / "nonexistent.yaml"
|
||||
rules = tr.TokenRules(config_path=config_file)
|
||||
|
||||
assert rules.get_delta("unknown_event") == 0
|
||||
|
||||
|
||||
class TestTokenRulesGetEvent:
|
||||
"""Test get_event method."""
|
||||
|
||||
def test_get_event_returns_full_config(self, tmp_path):
|
||||
"""Get full event configuration."""
|
||||
yaml = pytest.importorskip("yaml")
|
||||
|
||||
config_file = tmp_path / "token_rules.yaml"
|
||||
config_data = {
|
||||
"version": "1.0.0",
|
||||
"events": {
|
||||
"pr_merged": {
|
||||
"description": "PR merged successfully",
|
||||
"reward": 10,
|
||||
"category": "merge",
|
||||
"gate_threshold": 0,
|
||||
}
|
||||
},
|
||||
}
|
||||
config_file.write_text(yaml.dump(config_data))
|
||||
|
||||
rules = tr.TokenRules(config_path=config_file)
|
||||
event = rules.get_event("pr_merged")
|
||||
|
||||
assert event is not None
|
||||
assert event.name == "pr_merged"
|
||||
assert event.description == "PR merged successfully"
|
||||
assert event.reward == 10
|
||||
assert event.category == "merge"
|
||||
assert event.gate_threshold == 0
|
||||
|
||||
def test_get_event_unknown_returns_none(self, tmp_path):
|
||||
"""Return None for unknown event."""
|
||||
config_file = tmp_path / "nonexistent.yaml"
|
||||
rules = tr.TokenRules(config_path=config_file)
|
||||
|
||||
assert rules.get_event("unknown") is None
|
||||
|
||||
|
||||
class TestTokenRulesListEvents:
|
||||
"""Test list_events method."""
|
||||
|
||||
def test_list_all_events(self, tmp_path):
|
||||
"""List all configured events."""
|
||||
yaml = pytest.importorskip("yaml")
|
||||
|
||||
config_file = tmp_path / "token_rules.yaml"
|
||||
config_data = {
|
||||
"version": "1.0.0",
|
||||
"events": {
|
||||
"event_a": {"description": "A", "reward": 5, "category": "cat1"},
|
||||
"event_b": {"description": "B", "reward": 10, "category": "cat2"},
|
||||
"event_c": {"description": "C", "reward": 15, "category": "cat1"},
|
||||
},
|
||||
}
|
||||
config_file.write_text(yaml.dump(config_data))
|
||||
|
||||
rules = tr.TokenRules(config_path=config_file)
|
||||
events = rules.list_events()
|
||||
|
||||
assert len(events) == 3
|
||||
event_names = {e.name for e in events}
|
||||
assert "event_a" in event_names
|
||||
assert "event_b" in event_names
|
||||
assert "event_c" in event_names
|
||||
|
||||
def test_list_events_by_category(self, tmp_path):
|
||||
"""Filter events by category."""
|
||||
yaml = pytest.importorskip("yaml")
|
||||
|
||||
config_file = tmp_path / "token_rules.yaml"
|
||||
config_data = {
|
||||
"version": "1.0.0",
|
||||
"events": {
|
||||
"event_a": {"description": "A", "reward": 5, "category": "cat1"},
|
||||
"event_b": {"description": "B", "reward": 10, "category": "cat2"},
|
||||
"event_c": {"description": "C", "reward": 15, "category": "cat1"},
|
||||
},
|
||||
}
|
||||
config_file.write_text(yaml.dump(config_data))
|
||||
|
||||
rules = tr.TokenRules(config_path=config_file)
|
||||
events = rules.list_events(category="cat1")
|
||||
|
||||
assert len(events) == 2
|
||||
for event in events:
|
||||
assert event.category == "cat1"
|
||||
|
||||
|
||||
class TestTokenRulesGating:
|
||||
"""Test gating threshold methods."""
|
||||
|
||||
def test_check_gate_with_threshold(self, tmp_path):
|
||||
"""Check gate when threshold is defined."""
|
||||
yaml = pytest.importorskip("yaml")
|
||||
|
||||
config_file = tmp_path / "token_rules.yaml"
|
||||
config_data = {
|
||||
"version": "1.0.0",
|
||||
"events": {},
|
||||
"gating_thresholds": {"pr_merge": 50},
|
||||
}
|
||||
config_file.write_text(yaml.dump(config_data))
|
||||
|
||||
rules = tr.TokenRules(config_path=config_file)
|
||||
|
||||
assert rules.check_gate("pr_merge", current_tokens=100) is True
|
||||
assert rules.check_gate("pr_merge", current_tokens=50) is True
|
||||
assert rules.check_gate("pr_merge", current_tokens=49) is False
|
||||
assert rules.check_gate("pr_merge", current_tokens=0) is False
|
||||
|
||||
def test_check_gate_no_threshold(self, tmp_path):
|
||||
"""Check gate when no threshold is defined (always allowed)."""
|
||||
yaml = pytest.importorskip("yaml")
|
||||
|
||||
config_file = tmp_path / "token_rules.yaml"
|
||||
config_data = {
|
||||
"version": "1.0.0",
|
||||
"events": {},
|
||||
"gating_thresholds": {},
|
||||
}
|
||||
config_file.write_text(yaml.dump(config_data))
|
||||
|
||||
rules = tr.TokenRules(config_path=config_file)
|
||||
|
||||
# No threshold defined, should always be allowed
|
||||
assert rules.check_gate("unknown_op", current_tokens=0) is True
|
||||
assert rules.check_gate("unknown_op", current_tokens=-100) is True
|
||||
|
||||
def test_get_gate_threshold(self, tmp_path):
|
||||
"""Get threshold value."""
|
||||
yaml = pytest.importorskip("yaml")
|
||||
|
||||
config_file = tmp_path / "token_rules.yaml"
|
||||
config_data = {
|
||||
"version": "1.0.0",
|
||||
"gating_thresholds": {"pr_merge": 50, "sensitive_op": 100},
|
||||
}
|
||||
config_file.write_text(yaml.dump(config_data))
|
||||
|
||||
rules = tr.TokenRules(config_path=config_file)
|
||||
|
||||
assert rules.get_gate_threshold("pr_merge") == 50
|
||||
assert rules.get_gate_threshold("sensitive_op") == 100
|
||||
assert rules.get_gate_threshold("unknown") is None
|
||||
|
||||
|
||||
class TestTokenRulesDailyLimits:
|
||||
"""Test daily limits methods."""
|
||||
|
||||
def test_get_daily_limits(self, tmp_path):
|
||||
"""Get daily limits for a category."""
|
||||
yaml = pytest.importorskip("yaml")
|
||||
|
||||
config_file = tmp_path / "token_rules.yaml"
|
||||
config_data = {
|
||||
"version": "1.0.0",
|
||||
"daily_limits": {
|
||||
"triage": {"max_earn": 100, "max_spend": 0},
|
||||
"merge": {"max_earn": 50, "max_spend": 10},
|
||||
},
|
||||
}
|
||||
config_file.write_text(yaml.dump(config_data))
|
||||
|
||||
rules = tr.TokenRules(config_path=config_file)
|
||||
|
||||
triage_limits = rules.get_daily_limits("triage")
|
||||
assert triage_limits is not None
|
||||
assert triage_limits.max_earn == 100
|
||||
assert triage_limits.max_spend == 0
|
||||
|
||||
merge_limits = rules.get_daily_limits("merge")
|
||||
assert merge_limits is not None
|
||||
assert merge_limits.max_earn == 50
|
||||
assert merge_limits.max_spend == 10
|
||||
|
||||
def test_get_daily_limits_unknown(self, tmp_path):
|
||||
"""Return None for unknown category."""
|
||||
yaml = pytest.importorskip("yaml")
|
||||
|
||||
config_file = tmp_path / "token_rules.yaml"
|
||||
config_data = {"version": "1.0.0", "daily_limits": {}}
|
||||
config_file.write_text(yaml.dump(config_data))
|
||||
|
||||
rules = tr.TokenRules(config_path=config_file)
|
||||
|
||||
assert rules.get_daily_limits("unknown") is None
|
||||
|
||||
|
||||
class TestTokenRulesComputeTransaction:
|
||||
"""Test compute_transaction method."""
|
||||
|
||||
def test_compute_successful_transaction(self, tmp_path):
|
||||
"""Compute transaction for valid event."""
|
||||
yaml = pytest.importorskip("yaml")
|
||||
|
||||
config_file = tmp_path / "token_rules.yaml"
|
||||
config_data = {
|
||||
"version": "1.0.0",
|
||||
"events": {
|
||||
"pr_merged": {"description": "PR merged", "reward": 10, "category": "merge"}
|
||||
},
|
||||
}
|
||||
config_file.write_text(yaml.dump(config_data))
|
||||
|
||||
rules = tr.TokenRules(config_path=config_file)
|
||||
result = rules.compute_transaction("pr_merged", current_tokens=100)
|
||||
|
||||
assert result["event"] == "pr_merged"
|
||||
assert result["delta"] == 10
|
||||
assert result["category"] == "merge"
|
||||
assert result["allowed"] is True
|
||||
assert result["new_balance"] == 110
|
||||
assert result["limit_reached"] is False
|
||||
|
||||
def test_compute_unknown_event(self, tmp_path):
|
||||
"""Compute transaction for unknown event."""
|
||||
config_file = tmp_path / "nonexistent.yaml"
|
||||
rules = tr.TokenRules(config_path=config_file)
|
||||
result = rules.compute_transaction("unknown_event", current_tokens=50)
|
||||
|
||||
assert result["event"] == "unknown_event"
|
||||
assert result["delta"] == 0
|
||||
assert result["allowed"] is False
|
||||
assert result["reason"] == "unknown_event"
|
||||
assert result["new_balance"] == 50
|
||||
|
||||
def test_compute_with_gate_check(self, tmp_path):
|
||||
"""Compute transaction respects gating."""
|
||||
yaml = pytest.importorskip("yaml")
|
||||
|
||||
config_file = tmp_path / "token_rules.yaml"
|
||||
config_data = {
|
||||
"version": "1.0.0",
|
||||
"events": {
|
||||
"sensitive_op": {
|
||||
"description": "Sensitive",
|
||||
"reward": 50,
|
||||
"category": "sensitive",
|
||||
"gate_threshold": 100,
|
||||
}
|
||||
},
|
||||
}
|
||||
config_file.write_text(yaml.dump(config_data))
|
||||
|
||||
rules = tr.TokenRules(config_path=config_file)
|
||||
|
||||
# With enough tokens
|
||||
result = rules.compute_transaction("sensitive_op", current_tokens=150)
|
||||
assert result["allowed"] is True
|
||||
|
||||
# Without enough tokens
|
||||
result = rules.compute_transaction("sensitive_op", current_tokens=50)
|
||||
assert result["allowed"] is False
|
||||
assert "gate_reason" in result
|
||||
|
||||
def test_compute_with_daily_limits(self, tmp_path):
|
||||
"""Compute transaction respects daily limits."""
|
||||
yaml = pytest.importorskip("yaml")
|
||||
|
||||
config_file = tmp_path / "token_rules.yaml"
|
||||
config_data = {
|
||||
"version": "1.0.0",
|
||||
"events": {
|
||||
"triage_action": {
|
||||
"description": "Triage",
|
||||
"reward": 20,
|
||||
"category": "triage",
|
||||
}
|
||||
},
|
||||
"daily_limits": {"triage": {"max_earn": 50, "max_spend": 0}},
|
||||
}
|
||||
config_file.write_text(yaml.dump(config_data))
|
||||
|
||||
rules = tr.TokenRules(config_path=config_file)
|
||||
|
||||
# Within limit
|
||||
daily_earned = {"triage": 20}
|
||||
result = rules.compute_transaction(
|
||||
"triage_action", current_tokens=100, current_daily_earned=daily_earned
|
||||
)
|
||||
assert result["allowed"] is True
|
||||
assert result["limit_reached"] is False
|
||||
|
||||
# Would exceed limit (20 + 20 > 50 is false, so this should be fine)
|
||||
# Let's test with higher current earned
|
||||
daily_earned = {"triage": 40}
|
||||
result = rules.compute_transaction(
|
||||
"triage_action", current_tokens=100, current_daily_earned=daily_earned
|
||||
)
|
||||
assert result["allowed"] is False
|
||||
assert result["limit_reached"] is True
|
||||
assert "limit_reason" in result
|
||||
|
||||
|
||||
class TestTokenRulesCategories:
|
||||
"""Test category methods."""
|
||||
|
||||
def test_get_categories(self, tmp_path):
|
||||
"""Get all unique categories."""
|
||||
yaml = pytest.importorskip("yaml")
|
||||
|
||||
config_file = tmp_path / "token_rules.yaml"
|
||||
config_data = {
|
||||
"version": "1.0.0",
|
||||
"events": {
|
||||
"event_a": {"description": "A", "reward": 5, "category": "cat1"},
|
||||
"event_b": {"description": "B", "reward": 10, "category": "cat2"},
|
||||
"event_c": {"description": "C", "reward": 15, "category": "cat1"},
|
||||
},
|
||||
}
|
||||
config_file.write_text(yaml.dump(config_data))
|
||||
|
||||
rules = tr.TokenRules(config_path=config_file)
|
||||
categories = rules.get_categories()
|
||||
|
||||
assert sorted(categories) == ["cat1", "cat2"]
|
||||
|
||||
|
||||
class TestTokenRulesAudit:
|
||||
"""Test audit methods."""
|
||||
|
||||
def test_is_auditable_true(self, tmp_path):
|
||||
"""Check if auditable when enabled."""
|
||||
yaml = pytest.importorskip("yaml")
|
||||
|
||||
config_file = tmp_path / "token_rules.yaml"
|
||||
config_data = {"version": "1.0.0", "audit": {"log_all_transactions": True}}
|
||||
config_file.write_text(yaml.dump(config_data))
|
||||
|
||||
rules = tr.TokenRules(config_path=config_file)
|
||||
assert rules.is_auditable() is True
|
||||
|
||||
def test_is_auditable_false(self, tmp_path):
|
||||
"""Check if auditable when disabled."""
|
||||
yaml = pytest.importorskip("yaml")
|
||||
|
||||
config_file = tmp_path / "token_rules.yaml"
|
||||
config_data = {"version": "1.0.0", "audit": {"log_all_transactions": False}}
|
||||
config_file.write_text(yaml.dump(config_data))
|
||||
|
||||
rules = tr.TokenRules(config_path=config_file)
|
||||
assert rules.is_auditable() is False
|
||||
|
||||
|
||||
class TestConvenienceFunctions:
|
||||
"""Test module-level convenience functions."""
|
||||
|
||||
def test_get_token_delta(self, tmp_path):
|
||||
"""Convenience function returns delta."""
|
||||
config_file = tmp_path / "nonexistent.yaml"
|
||||
|
||||
with patch.object(tr.TokenRules, "CONFIG_PATH", config_file):
|
||||
delta = tr.get_token_delta("pr_merged")
|
||||
assert delta == 10 # From fallback
|
||||
|
||||
def test_check_operation_gate(self, tmp_path):
|
||||
"""Convenience function checks gate."""
|
||||
config_file = tmp_path / "nonexistent.yaml"
|
||||
|
||||
with patch.object(tr.TokenRules, "CONFIG_PATH", config_file):
|
||||
# Fallback has pr_merge gate at 0
|
||||
assert tr.check_operation_gate("pr_merge", current_tokens=0) is True
|
||||
assert tr.check_operation_gate("pr_merge", current_tokens=100) is True
|
||||
|
||||
def test_compute_token_reward(self, tmp_path):
|
||||
"""Convenience function computes reward."""
|
||||
config_file = tmp_path / "nonexistent.yaml"
|
||||
|
||||
with patch.object(tr.TokenRules, "CONFIG_PATH", config_file):
|
||||
result = tr.compute_token_reward("pr_merged", current_tokens=50)
|
||||
assert result["event"] == "pr_merged"
|
||||
assert result["delta"] == 10
|
||||
assert result["new_balance"] == 60
|
||||
|
||||
def test_list_token_events(self, tmp_path):
|
||||
"""Convenience function lists events."""
|
||||
config_file = tmp_path / "nonexistent.yaml"
|
||||
|
||||
with patch.object(tr.TokenRules, "CONFIG_PATH", config_file):
|
||||
events = tr.list_token_events()
|
||||
assert len(events) >= 3 # Fallback has at least 3 events
|
||||
|
||||
# Check structure
|
||||
for event in events:
|
||||
assert "name" in event
|
||||
assert "description" in event
|
||||
assert "delta" in event
|
||||
assert "category" in event
|
||||
343
tests/timmy_automations/test_weekly_narrative.py
Normal file
343
tests/timmy_automations/test_weekly_narrative.py
Normal file
@@ -0,0 +1,343 @@
|
||||
"""Tests for weekly_narrative.py script."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import sys
|
||||
from datetime import UTC, datetime, timedelta
|
||||
from pathlib import Path
|
||||
from unittest.mock import MagicMock, patch
|
||||
|
||||
# Add timmy_automations to path for imports
|
||||
sys.path.insert(
|
||||
0, str(Path(__file__).resolve().parent.parent.parent / "timmy_automations" / "daily_run")
|
||||
)
|
||||
|
||||
import weekly_narrative as wn
|
||||
|
||||
|
||||
class TestParseTimestamp:
|
||||
"""Test timestamp parsing."""
|
||||
|
||||
def test_parse_iso_with_z(self):
|
||||
"""Parse ISO timestamp with Z suffix."""
|
||||
result = wn.parse_ts("2026-03-21T12:00:00Z")
|
||||
assert result is not None
|
||||
assert result.year == 2026
|
||||
assert result.month == 3
|
||||
assert result.day == 21
|
||||
|
||||
def test_parse_iso_with_offset(self):
|
||||
"""Parse ISO timestamp with timezone offset."""
|
||||
result = wn.parse_ts("2026-03-21T12:00:00+00:00")
|
||||
assert result is not None
|
||||
assert result.year == 2026
|
||||
|
||||
def test_parse_empty_string(self):
|
||||
"""Empty string returns None."""
|
||||
result = wn.parse_ts("")
|
||||
assert result is None
|
||||
|
||||
def test_parse_invalid_string(self):
|
||||
"""Invalid string returns None."""
|
||||
result = wn.parse_ts("not-a-timestamp")
|
||||
assert result is None
|
||||
|
||||
|
||||
class TestCollectCyclesData:
|
||||
"""Test cycle data collection."""
|
||||
|
||||
def test_no_cycles_file(self, tmp_path):
|
||||
"""Handle missing cycles file gracefully."""
|
||||
with patch.object(wn, "REPO_ROOT", tmp_path):
|
||||
since = datetime.now(UTC) - timedelta(days=7)
|
||||
result = wn.collect_cycles_data(since)
|
||||
assert result["total"] == 0
|
||||
assert result["successes"] == 0
|
||||
assert result["failures"] == 0
|
||||
|
||||
def test_collect_recent_cycles(self, tmp_path):
|
||||
"""Collect cycles within lookback period."""
|
||||
retro_dir = tmp_path / ".loop" / "retro"
|
||||
retro_dir.mkdir(parents=True)
|
||||
|
||||
now = datetime.now(UTC)
|
||||
cycles = [
|
||||
{"timestamp": now.isoformat(), "success": True, "cycle": 1},
|
||||
{"timestamp": now.isoformat(), "success": False, "cycle": 2},
|
||||
{"timestamp": (now - timedelta(days=10)).isoformat(), "success": True, "cycle": 3},
|
||||
]
|
||||
|
||||
with open(retro_dir / "cycles.jsonl", "w") as f:
|
||||
for c in cycles:
|
||||
f.write(json.dumps(c) + "\n")
|
||||
|
||||
with patch.object(wn, "REPO_ROOT", tmp_path):
|
||||
since = now - timedelta(days=7)
|
||||
result = wn.collect_cycles_data(since)
|
||||
assert result["total"] == 2 # Only recent 2
|
||||
assert result["successes"] == 1
|
||||
assert result["failures"] == 1
|
||||
|
||||
|
||||
class TestExtractThemes:
|
||||
"""Test theme extraction from issues."""
|
||||
|
||||
def test_extract_layer_labels(self):
|
||||
"""Extract layer labels from issues."""
|
||||
issues = [
|
||||
{"labels": [{"name": "layer:triage"}, {"name": "bug"}]},
|
||||
{"labels": [{"name": "layer:tests"}, {"name": "bug"}]},
|
||||
{"labels": [{"name": "layer:triage"}, {"name": "feature"}]},
|
||||
]
|
||||
|
||||
result = wn.extract_themes(issues)
|
||||
|
||||
assert len(result["layers"]) == 2
|
||||
layer_names = {layer["name"] for layer in result["layers"]}
|
||||
assert "triage" in layer_names
|
||||
assert "tests" in layer_names
|
||||
|
||||
def test_extract_type_labels(self):
|
||||
"""Extract type labels (bug/feature/etc)."""
|
||||
issues = [
|
||||
{"labels": [{"name": "bug"}]},
|
||||
{"labels": [{"name": "feature"}]},
|
||||
{"labels": [{"name": "bug"}]},
|
||||
]
|
||||
|
||||
result = wn.extract_themes(issues)
|
||||
|
||||
type_names = {t_type["name"] for t_type in result["types"]}
|
||||
assert "bug" in type_names
|
||||
assert "feature" in type_names
|
||||
|
||||
def test_empty_issues(self):
|
||||
"""Handle empty issue list."""
|
||||
result = wn.extract_themes([])
|
||||
assert result["layers"] == []
|
||||
assert result["types"] == []
|
||||
assert result["top_labels"] == []
|
||||
|
||||
|
||||
class TestExtractAgentContributions:
|
||||
"""Test agent contribution extraction."""
|
||||
|
||||
def test_extract_assignees(self):
|
||||
"""Extract assignee counts."""
|
||||
issues = [
|
||||
{"assignee": {"login": "kimi"}},
|
||||
{"assignee": {"login": "hermes"}},
|
||||
{"assignee": {"login": "kimi"}},
|
||||
]
|
||||
|
||||
result = wn.extract_agent_contributions(issues, [], [])
|
||||
|
||||
assert len(result["active_assignees"]) == 2
|
||||
assignee_logins = {a["login"] for a in result["active_assignees"]} # noqa: E741
|
||||
assert "kimi" in assignee_logins
|
||||
assert "hermes" in assignee_logins
|
||||
|
||||
def test_extract_pr_authors(self):
|
||||
"""Extract PR author counts."""
|
||||
prs = [
|
||||
{"user": {"login": "kimi"}},
|
||||
{"user": {"login": "claude"}},
|
||||
{"user": {"login": "kimi"}},
|
||||
]
|
||||
|
||||
result = wn.extract_agent_contributions([], prs, [])
|
||||
|
||||
assert len(result["pr_authors"]) == 2
|
||||
|
||||
def test_kimi_mentions_in_cycles(self):
|
||||
"""Count Kimi mentions in cycle notes."""
|
||||
cycles = [
|
||||
{"notes": "Kimi did great work", "reason": ""},
|
||||
{"notes": "", "reason": "Kimi timeout"},
|
||||
{"notes": "All good", "reason": ""},
|
||||
]
|
||||
|
||||
result = wn.extract_agent_contributions([], [], cycles)
|
||||
assert result["kimi_mentioned_cycles"] == 2
|
||||
|
||||
|
||||
class TestAnalyzeTestShifts:
|
||||
"""Test test pattern analysis."""
|
||||
|
||||
def test_no_cycles(self):
|
||||
"""Handle no cycle data."""
|
||||
result = wn.analyze_test_shifts([])
|
||||
assert "note" in result
|
||||
|
||||
def test_test_metrics(self):
|
||||
"""Calculate test metrics from cycles."""
|
||||
cycles = [
|
||||
{"tests_passed": 100, "tests_added": 5},
|
||||
{"tests_passed": 150, "tests_added": 3},
|
||||
]
|
||||
|
||||
result = wn.analyze_test_shifts(cycles)
|
||||
|
||||
assert result["total_tests_passed"] == 250
|
||||
assert result["total_tests_added"] == 8
|
||||
|
||||
|
||||
class TestGenerateVibeSummary:
|
||||
"""Test vibe summary generation."""
|
||||
|
||||
def test_productive_vibe(self):
|
||||
"""High success rate and activity = productive vibe."""
|
||||
cycles_data = {"success_rate": 0.95, "successes": 10, "failures": 1}
|
||||
issues_data = {"closed_count": 5}
|
||||
|
||||
result = wn.generate_vibe_summary(cycles_data, issues_data, {}, {"layers": []}, {}, {}, {})
|
||||
|
||||
assert result["overall"] == "productive"
|
||||
assert "strong week" in result["description"].lower()
|
||||
|
||||
def test_struggling_vibe(self):
|
||||
"""More failures than successes = struggling vibe."""
|
||||
cycles_data = {"success_rate": 0.3, "successes": 3, "failures": 7}
|
||||
issues_data = {"closed_count": 0}
|
||||
|
||||
result = wn.generate_vibe_summary(cycles_data, issues_data, {}, {"layers": []}, {}, {}, {})
|
||||
|
||||
assert result["overall"] == "struggling"
|
||||
|
||||
def test_quiet_vibe(self):
|
||||
"""Low activity = quiet vibe."""
|
||||
cycles_data = {"success_rate": 0.0, "successes": 0, "failures": 0}
|
||||
issues_data = {"closed_count": 0}
|
||||
|
||||
result = wn.generate_vibe_summary(cycles_data, issues_data, {}, {"layers": []}, {}, {}, {})
|
||||
|
||||
assert result["overall"] == "quiet"
|
||||
|
||||
|
||||
class TestGenerateMarkdownSummary:
|
||||
"""Test markdown summary generation."""
|
||||
|
||||
def test_includes_header(self):
|
||||
"""Markdown includes header."""
|
||||
narrative = {
|
||||
"period": {"start": "2026-03-14T00:00:00", "end": "2026-03-21T00:00:00"},
|
||||
"vibe": {"overall": "productive", "description": "Good week"},
|
||||
"activity": {
|
||||
"cycles": {"total": 10, "successes": 9, "failures": 1},
|
||||
"issues": {"closed": 5, "opened": 3},
|
||||
"pull_requests": {"merged": 4, "opened": 2},
|
||||
},
|
||||
}
|
||||
|
||||
result = wn.generate_markdown_summary(narrative)
|
||||
|
||||
assert "# Weekly Narrative Summary" in result
|
||||
assert "productive" in result.lower()
|
||||
assert "10 total" in result or "10" in result
|
||||
|
||||
def test_includes_focus_areas(self):
|
||||
"""Markdown includes focus areas when present."""
|
||||
narrative = {
|
||||
"period": {"start": "2026-03-14", "end": "2026-03-21"},
|
||||
"vibe": {
|
||||
"overall": "productive",
|
||||
"description": "Good week",
|
||||
"focus_areas": ["triage (5 items)", "tests (3 items)"],
|
||||
},
|
||||
"activity": {
|
||||
"cycles": {"total": 0, "successes": 0, "failures": 0},
|
||||
"issues": {"closed": 0, "opened": 0},
|
||||
"pull_requests": {"merged": 0, "opened": 0},
|
||||
},
|
||||
}
|
||||
|
||||
result = wn.generate_markdown_summary(narrative)
|
||||
|
||||
assert "Focus Areas" in result
|
||||
assert "triage" in result
|
||||
|
||||
|
||||
class TestConfigLoading:
|
||||
"""Test configuration loading."""
|
||||
|
||||
def test_default_config(self, tmp_path):
|
||||
"""Default config when manifest missing."""
|
||||
with patch.object(wn, "CONFIG_PATH", tmp_path / "nonexistent.json"):
|
||||
config = wn.load_automation_config()
|
||||
assert config["lookback_days"] == 7
|
||||
assert config["enabled"] is True
|
||||
|
||||
def test_environment_override(self, tmp_path):
|
||||
"""Environment variables override config."""
|
||||
with patch.dict("os.environ", {"TIMMY_WEEKLY_NARRATIVE_ENABLED": "false"}):
|
||||
with patch.object(wn, "CONFIG_PATH", tmp_path / "nonexistent.json"):
|
||||
config = wn.load_automation_config()
|
||||
assert config["enabled"] is False
|
||||
|
||||
|
||||
class TestMain:
|
||||
"""Test main function."""
|
||||
|
||||
def test_disabled_exits_cleanly(self, tmp_path):
|
||||
"""When disabled and no --force, exits cleanly."""
|
||||
with patch.object(wn, "REPO_ROOT", tmp_path):
|
||||
with patch.object(wn, "load_automation_config", return_value={"enabled": False}):
|
||||
with patch("sys.argv", ["weekly_narrative"]):
|
||||
result = wn.main()
|
||||
assert result == 0
|
||||
|
||||
def test_force_runs_when_disabled(self, tmp_path):
|
||||
"""--force runs even when disabled."""
|
||||
# Setup minimal structure
|
||||
(tmp_path / ".loop" / "retro").mkdir(parents=True)
|
||||
|
||||
with patch.object(wn, "REPO_ROOT", tmp_path):
|
||||
with patch.object(
|
||||
wn,
|
||||
"load_automation_config",
|
||||
return_value={
|
||||
"enabled": False,
|
||||
"lookback_days": 7,
|
||||
"gitea_api": "http://localhost:3000/api/v1",
|
||||
"repo_slug": "test/repo",
|
||||
"token_file": "~/.hermes/gitea_token",
|
||||
},
|
||||
):
|
||||
with patch.object(wn, "GiteaClient") as mock_client:
|
||||
mock_instance = MagicMock()
|
||||
mock_instance.is_available.return_value = False
|
||||
mock_client.return_value = mock_instance
|
||||
|
||||
with patch("sys.argv", ["weekly_narrative", "--force"]):
|
||||
result = wn.main()
|
||||
# Should complete without error even though Gitea unavailable
|
||||
assert result == 0
|
||||
|
||||
|
||||
class TestGiteaClient:
|
||||
"""Test Gitea API client."""
|
||||
|
||||
def test_is_available_when_unavailable(self):
|
||||
"""is_available returns False when server down."""
|
||||
config = {"gitea_api": "http://localhost:99999", "repo_slug": "test/repo"}
|
||||
client = wn.GiteaClient(config, None)
|
||||
|
||||
# Should return False without raising
|
||||
assert client.is_available() is False
|
||||
|
||||
def test_headers_with_token(self):
|
||||
"""Headers include Authorization when token provided."""
|
||||
config = {"gitea_api": "http://localhost:3000", "repo_slug": "test/repo"}
|
||||
client = wn.GiteaClient(config, "test-token")
|
||||
|
||||
headers = client._headers()
|
||||
assert headers["Authorization"] == "token test-token"
|
||||
|
||||
def test_headers_without_token(self):
|
||||
"""Headers don't include Authorization when no token."""
|
||||
config = {"gitea_api": "http://localhost:3000", "repo_slug": "test/repo"}
|
||||
client = wn.GiteaClient(config, None)
|
||||
|
||||
headers = client._headers()
|
||||
assert "Authorization" not in headers
|
||||
@@ -1,6 +1,9 @@
|
||||
{
|
||||
"version": "1.0.0",
|
||||
"description": "Master manifest of all Timmy automations",
|
||||
"_health_snapshot": {
|
||||
"note": "Quick health check before coding — CI, P0/P1 issues, flakiness"
|
||||
},
|
||||
"last_updated": "2026-03-21",
|
||||
"automations": [
|
||||
{
|
||||
@@ -228,6 +231,43 @@
|
||||
"max_items": 5
|
||||
},
|
||||
"outputs": []
|
||||
},
|
||||
{
|
||||
"id": "weekly_narrative",
|
||||
"name": "Weekly Narrative Summary",
|
||||
"description": "Generates a human-readable weekly summary of work themes, agent contributions, and token economy shifts",
|
||||
"script": "timmy_automations/daily_run/weekly_narrative.py",
|
||||
"category": "daily_run",
|
||||
"enabled": true,
|
||||
"trigger": "scheduled",
|
||||
"schedule": "weekly",
|
||||
"executable": "python3",
|
||||
"config": {
|
||||
"lookback_days": 7,
|
||||
"output_file": ".loop/weekly_narrative.json",
|
||||
"gitea_api": "http://localhost:3000/api/v1",
|
||||
"repo_slug": "rockachopa/Timmy-time-dashboard"
|
||||
},
|
||||
"outputs": [
|
||||
".loop/weekly_narrative.json",
|
||||
".loop/weekly_narrative.md"
|
||||
]
|
||||
},
|
||||
{
|
||||
"id": "health_snapshot",
|
||||
"name": "Health Snapshot",
|
||||
"description": "Quick health check before coding — CI status, P0/P1 issues, test flakiness, token economy",
|
||||
"script": "timmy_automations/daily_run/health_snapshot.py",
|
||||
"category": "daily_run",
|
||||
"enabled": true,
|
||||
"trigger": "pre_cycle",
|
||||
"executable": "python3",
|
||||
"config": {
|
||||
"critical_labels": ["P0", "P1", "priority/critical", "priority/high"],
|
||||
"flakiness_lookback_cycles": 20,
|
||||
"ci_timeout_seconds": 5
|
||||
},
|
||||
"outputs": []
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
@@ -17,6 +17,10 @@
|
||||
"manual": {
|
||||
"description": "Run on-demand only",
|
||||
"automations": ["agent_workspace", "kimi_bootstrap", "kimi_resume", "backfill_retro"]
|
||||
},
|
||||
"weekly": {
|
||||
"description": "Run once per week (Sundays)",
|
||||
"automations": ["weekly_narrative"]
|
||||
}
|
||||
},
|
||||
"triggers": {
|
||||
|
||||
138
timmy_automations/config/token_rules.yaml
Normal file
138
timmy_automations/config/token_rules.yaml
Normal file
@@ -0,0 +1,138 @@
|
||||
# Token Rules — Agent reward/penalty configuration for automations
|
||||
#
|
||||
# This file defines the token economy for agent actions.
|
||||
# Modify values here to adjust incentives without code changes.
|
||||
#
|
||||
# Used by: timmy_automations.utils.token_rules
|
||||
|
||||
version: "1.0.0"
|
||||
description: "Token economy rules for agent automations"
|
||||
|
||||
# ── Events ─────────────────────────────────────────────────────────────────
|
||||
# Each event type defines rewards/penalties and optional gating thresholds
|
||||
|
||||
events:
|
||||
# Triage actions
|
||||
triage_success:
|
||||
description: "Successfully triaged an issue (scored and categorized)"
|
||||
reward: 5
|
||||
category: "triage"
|
||||
|
||||
deep_triage_refinement:
|
||||
description: "LLM-driven issue refinement with acceptance criteria added"
|
||||
reward: 20
|
||||
category: "triage"
|
||||
|
||||
quarantine_candidate_found:
|
||||
description: "Identified a repeat failure issue for quarantine"
|
||||
reward: 10
|
||||
category: "triage"
|
||||
|
||||
# Daily Run completions
|
||||
daily_run_completed:
|
||||
description: "Completed a daily run cycle successfully"
|
||||
reward: 5
|
||||
category: "daily_run"
|
||||
|
||||
golden_path_generated:
|
||||
description: "Generated a coherent mini-session plan"
|
||||
reward: 3
|
||||
category: "daily_run"
|
||||
|
||||
weekly_narrative_created:
|
||||
description: "Generated weekly summary of work themes"
|
||||
reward: 15
|
||||
category: "daily_run"
|
||||
|
||||
# PR merges
|
||||
pr_merged:
|
||||
description: "Successfully merged a pull request"
|
||||
reward: 10
|
||||
category: "merge"
|
||||
# Gating: requires minimum tokens to perform
|
||||
gate_threshold: 0
|
||||
|
||||
pr_merged_with_tests:
|
||||
description: "Merged PR with all tests passing"
|
||||
reward: 15
|
||||
category: "merge"
|
||||
gate_threshold: 0
|
||||
|
||||
# Test fixes
|
||||
test_fixed:
|
||||
description: "Fixed a failing test"
|
||||
reward: 8
|
||||
category: "test"
|
||||
|
||||
test_added:
|
||||
description: "Added new test coverage"
|
||||
reward: 5
|
||||
category: "test"
|
||||
|
||||
critical_bug_fixed:
|
||||
description: "Fixed a critical bug on main"
|
||||
reward: 25
|
||||
category: "test"
|
||||
|
||||
# General operations
|
||||
automation_run:
|
||||
description: "Ran any automation (resource usage)"
|
||||
penalty: -1
|
||||
category: "operation"
|
||||
|
||||
automation_failure:
|
||||
description: "Automation failed or produced error"
|
||||
penalty: -2
|
||||
category: "operation"
|
||||
|
||||
cycle_retro_logged:
|
||||
description: "Logged structured retrospective data"
|
||||
reward: 5
|
||||
category: "operation"
|
||||
|
||||
pre_commit_passed:
|
||||
description: "Pre-commit checks passed"
|
||||
reward: 2
|
||||
category: "operation"
|
||||
|
||||
pre_commit_failed:
|
||||
description: "Pre-commit checks failed"
|
||||
penalty: -1
|
||||
category: "operation"
|
||||
|
||||
# ── Gating Thresholds ──────────────────────────────────────────────────────
|
||||
# Minimum token balances required for sensitive operations
|
||||
|
||||
gating_thresholds:
|
||||
pr_merge: 0
|
||||
sensitive_config_change: 50
|
||||
agent_workspace_create: 10
|
||||
deep_triage_run: 0
|
||||
|
||||
# ── Daily Limits ───────────────────────────────────────────────────────────
|
||||
# Maximum tokens that can be earned/spent per category per day
|
||||
|
||||
daily_limits:
|
||||
triage:
|
||||
max_earn: 100
|
||||
max_spend: 0
|
||||
daily_run:
|
||||
max_earn: 50
|
||||
max_spend: 0
|
||||
merge:
|
||||
max_earn: 100
|
||||
max_spend: 0
|
||||
test:
|
||||
max_earn: 100
|
||||
max_spend: 0
|
||||
operation:
|
||||
max_earn: 50
|
||||
max_spend: 50
|
||||
|
||||
# ── Audit Settings ─────────────────────────────────────────────────────────
|
||||
# Settings for token audit and inspection
|
||||
|
||||
audit:
|
||||
log_all_transactions: true
|
||||
log_retention_days: 30
|
||||
inspectable_by: ["orchestrator", "auditor", "timmy"]
|
||||
619
timmy_automations/daily_run/health_snapshot.py
Executable file
619
timmy_automations/daily_run/health_snapshot.py
Executable file
@@ -0,0 +1,619 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Quick health snapshot before coding — checks CI, issues, flakiness.
|
||||
|
||||
A fast status check that shows major red/green signals before deeper work.
|
||||
Runs in a few seconds and produces a concise summary.
|
||||
|
||||
Run: python3 timmy_automations/daily_run/health_snapshot.py
|
||||
Env: GITEA_API, GITEA_TOKEN, REPO_SLUG
|
||||
|
||||
Refs: #710
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
from dataclasses import dataclass, field
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
from urllib.request import Request, urlopen
|
||||
from urllib.error import HTTPError, URLError
|
||||
|
||||
# ── Configuration ─────────────────────────────────────────────────────────
|
||||
|
||||
REPO_ROOT = Path(__file__).resolve().parent.parent.parent
|
||||
|
||||
DEFAULT_CONFIG = {
|
||||
"gitea_api": "http://localhost:3000/api/v1",
|
||||
"repo_slug": "rockachopa/Timmy-time-dashboard",
|
||||
"token_file": "~/.hermes/gitea_token",
|
||||
"critical_labels": ["P0", "P1", "priority/critical", "priority/high"],
|
||||
"flakiness_lookback_cycles": 20,
|
||||
"ci_timeout_seconds": 5,
|
||||
}
|
||||
|
||||
|
||||
def load_config() -> dict:
|
||||
"""Load configuration with fallback to defaults."""
|
||||
config = DEFAULT_CONFIG.copy()
|
||||
|
||||
# Environment variable overrides
|
||||
if os.environ.get("TIMMY_GITEA_API"):
|
||||
config["gitea_api"] = os.environ["TIMMY_GITEA_API"]
|
||||
if os.environ.get("TIMMY_REPO_SLUG"):
|
||||
config["repo_slug"] = os.environ["TIMMY_REPO_SLUG"]
|
||||
if os.environ.get("TIMMY_GITEA_TOKEN"):
|
||||
config["token"] = os.environ["TIMMY_GITEA_TOKEN"]
|
||||
|
||||
return config
|
||||
|
||||
|
||||
def get_token(config: dict) -> str | None:
|
||||
"""Get Gitea token from environment or file."""
|
||||
if "token" in config:
|
||||
return config["token"]
|
||||
|
||||
# Try timmy's token file
|
||||
repo_root = Path(__file__).resolve().parent.parent.parent
|
||||
timmy_token_path = repo_root / ".timmy_gitea_token"
|
||||
if timmy_token_path.exists():
|
||||
return timmy_token_path.read_text().strip()
|
||||
|
||||
# Fallback to legacy token file
|
||||
token_file = Path(config["token_file"]).expanduser()
|
||||
if token_file.exists():
|
||||
return token_file.read_text().strip()
|
||||
|
||||
return None
|
||||
|
||||
|
||||
# ── Gitea API Client ──────────────────────────────────────────────────────
|
||||
|
||||
class GiteaClient:
|
||||
"""Simple Gitea API client with graceful degradation."""
|
||||
|
||||
def __init__(self, config: dict, token: str | None):
|
||||
self.api_base = config["gitea_api"].rstrip("/")
|
||||
self.repo_slug = config["repo_slug"]
|
||||
self.token = token
|
||||
self._available: bool | None = None
|
||||
|
||||
def _headers(self) -> dict:
|
||||
headers = {"Accept": "application/json"}
|
||||
if self.token:
|
||||
headers["Authorization"] = f"token {self.token}"
|
||||
return headers
|
||||
|
||||
def _api_url(self, path: str) -> str:
|
||||
return f"{self.api_base}/repos/{self.repo_slug}/{path}"
|
||||
|
||||
def is_available(self) -> bool:
|
||||
"""Check if Gitea API is reachable."""
|
||||
if self._available is not None:
|
||||
return self._available
|
||||
|
||||
try:
|
||||
req = Request(
|
||||
f"{self.api_base}/version",
|
||||
headers=self._headers(),
|
||||
method="GET",
|
||||
)
|
||||
with urlopen(req, timeout=3) as resp:
|
||||
self._available = resp.status == 200
|
||||
return self._available
|
||||
except (HTTPError, URLError, TimeoutError):
|
||||
self._available = False
|
||||
return False
|
||||
|
||||
def get(self, path: str, params: dict | None = None) -> list | dict:
|
||||
"""Make a GET request to the Gitea API."""
|
||||
url = self._api_url(path)
|
||||
if params:
|
||||
query = "&".join(f"{k}={v}" for k, v in params.items())
|
||||
url = f"{url}?{query}"
|
||||
|
||||
req = Request(url, headers=self._headers(), method="GET")
|
||||
with urlopen(req, timeout=10) as resp:
|
||||
return json.loads(resp.read())
|
||||
|
||||
def get_paginated(self, path: str, params: dict | None = None) -> list:
|
||||
"""Fetch all pages of a paginated endpoint."""
|
||||
all_items = []
|
||||
page = 1
|
||||
limit = 50
|
||||
|
||||
while True:
|
||||
page_params = {"limit": limit, "page": page}
|
||||
if params:
|
||||
page_params.update(params)
|
||||
|
||||
batch = self.get(path, page_params)
|
||||
if not batch:
|
||||
break
|
||||
|
||||
all_items.extend(batch)
|
||||
if len(batch) < limit:
|
||||
break
|
||||
page += 1
|
||||
|
||||
return all_items
|
||||
|
||||
|
||||
# ── Data Models ───────────────────────────────────────────────────────────
|
||||
|
||||
@dataclass
|
||||
class CISignal:
|
||||
"""CI pipeline status signal."""
|
||||
status: str # "pass", "fail", "unknown", "unavailable"
|
||||
message: str
|
||||
details: dict[str, Any] = field(default_factory=dict)
|
||||
|
||||
|
||||
@dataclass
|
||||
class IssueSignal:
|
||||
"""Critical issues signal."""
|
||||
count: int
|
||||
p0_count: int
|
||||
p1_count: int
|
||||
issues: list[dict[str, Any]] = field(default_factory=list)
|
||||
|
||||
|
||||
@dataclass
|
||||
class FlakinessSignal:
|
||||
"""Test flakiness/error rate signal."""
|
||||
status: str # "healthy", "degraded", "critical", "unknown"
|
||||
recent_failures: int
|
||||
recent_cycles: int
|
||||
failure_rate: float
|
||||
message: str
|
||||
|
||||
|
||||
@dataclass
|
||||
class TokenEconomySignal:
|
||||
"""Token economy temperature indicator."""
|
||||
status: str # "balanced", "inflationary", "deflationary", "unknown"
|
||||
message: str
|
||||
recent_mint: int = 0
|
||||
recent_burn: int = 0
|
||||
|
||||
|
||||
@dataclass
|
||||
class HealthSnapshot:
|
||||
"""Complete health snapshot."""
|
||||
timestamp: str
|
||||
overall_status: str # "green", "yellow", "red"
|
||||
ci: CISignal
|
||||
issues: IssueSignal
|
||||
flakiness: FlakinessSignal
|
||||
tokens: TokenEconomySignal
|
||||
|
||||
def to_dict(self) -> dict[str, Any]:
|
||||
return {
|
||||
"timestamp": self.timestamp,
|
||||
"overall_status": self.overall_status,
|
||||
"ci": {
|
||||
"status": self.ci.status,
|
||||
"message": self.ci.message,
|
||||
"details": self.ci.details,
|
||||
},
|
||||
"issues": {
|
||||
"count": self.issues.count,
|
||||
"p0_count": self.issues.p0_count,
|
||||
"p1_count": self.issues.p1_count,
|
||||
"issues": self.issues.issues[:5], # Limit to 5
|
||||
},
|
||||
"flakiness": {
|
||||
"status": self.flakiness.status,
|
||||
"recent_failures": self.flakiness.recent_failures,
|
||||
"recent_cycles": self.flakiness.recent_cycles,
|
||||
"failure_rate": round(self.flakiness.failure_rate, 2),
|
||||
"message": self.flakiness.message,
|
||||
},
|
||||
"tokens": {
|
||||
"status": self.tokens.status,
|
||||
"message": self.tokens.message,
|
||||
"recent_mint": self.tokens.recent_mint,
|
||||
"recent_burn": self.tokens.recent_burn,
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
# ── Health Check Functions ────────────────────────────────────────────────
|
||||
|
||||
def check_ci_status(client: GiteaClient, config: dict) -> CISignal:
|
||||
"""Check CI pipeline status from recent commits."""
|
||||
try:
|
||||
# Get recent commits with status
|
||||
commits = client.get_paginated("commits", {"limit": 5})
|
||||
|
||||
if not commits:
|
||||
return CISignal(
|
||||
status="unknown",
|
||||
message="No recent commits found",
|
||||
)
|
||||
|
||||
# Check status for most recent commit
|
||||
latest = commits[0]
|
||||
sha = latest.get("sha", "")
|
||||
|
||||
try:
|
||||
statuses = client.get(f"commits/{sha}/status")
|
||||
state = statuses.get("state", "unknown")
|
||||
|
||||
if state == "success":
|
||||
return CISignal(
|
||||
status="pass",
|
||||
message="CI passing",
|
||||
details={"sha": sha[:8], "state": state},
|
||||
)
|
||||
elif state in ("failure", "error"):
|
||||
return CISignal(
|
||||
status="fail",
|
||||
message=f"CI failed ({state})",
|
||||
details={"sha": sha[:8], "state": state},
|
||||
)
|
||||
elif state == "pending":
|
||||
return CISignal(
|
||||
status="unknown",
|
||||
message="CI pending",
|
||||
details={"sha": sha[:8], "state": state},
|
||||
)
|
||||
else:
|
||||
return CISignal(
|
||||
status="unknown",
|
||||
message=f"CI status: {state}",
|
||||
details={"sha": sha[:8], "state": state},
|
||||
)
|
||||
except (HTTPError, URLError) as exc:
|
||||
return CISignal(
|
||||
status="unknown",
|
||||
message=f"Could not fetch CI status: {exc}",
|
||||
)
|
||||
|
||||
except (HTTPError, URLError) as exc:
|
||||
return CISignal(
|
||||
status="unavailable",
|
||||
message=f"CI check failed: {exc}",
|
||||
)
|
||||
|
||||
|
||||
def check_critical_issues(client: GiteaClient, config: dict) -> IssueSignal:
|
||||
"""Check for open P0/P1 issues."""
|
||||
critical_labels = config.get("critical_labels", ["P0", "P1"])
|
||||
|
||||
try:
|
||||
# Fetch open issues
|
||||
issues = client.get_paginated("issues", {"state": "open", "limit": 100})
|
||||
|
||||
p0_issues = []
|
||||
p1_issues = []
|
||||
other_critical = []
|
||||
|
||||
for issue in issues:
|
||||
labels = [l.get("name", "").lower() for l in issue.get("labels", [])]
|
||||
|
||||
# Check for P0/P1 labels
|
||||
is_p0 = any("p0" in l or "critical" in l for l in labels)
|
||||
is_p1 = any("p1" in l or "high" in l for l in labels)
|
||||
|
||||
issue_summary = {
|
||||
"number": issue.get("number"),
|
||||
"title": issue.get("title", "Untitled")[:60],
|
||||
"url": issue.get("html_url", ""),
|
||||
}
|
||||
|
||||
if is_p0:
|
||||
p0_issues.append(issue_summary)
|
||||
elif is_p1:
|
||||
p1_issues.append(issue_summary)
|
||||
elif any(cl.lower() in labels for cl in critical_labels):
|
||||
other_critical.append(issue_summary)
|
||||
|
||||
all_critical = p0_issues + p1_issues + other_critical
|
||||
|
||||
return IssueSignal(
|
||||
count=len(all_critical),
|
||||
p0_count=len(p0_issues),
|
||||
p1_count=len(p1_issues),
|
||||
issues=all_critical[:10], # Limit stored issues
|
||||
)
|
||||
|
||||
except (HTTPError, URLError) as exc:
|
||||
return IssueSignal(
|
||||
count=0,
|
||||
p0_count=0,
|
||||
p1_count=0,
|
||||
issues=[],
|
||||
)
|
||||
|
||||
|
||||
def check_flakiness(config: dict) -> FlakinessSignal:
|
||||
"""Check test flakiness from cycle retrospective data."""
|
||||
retro_file = REPO_ROOT / ".loop" / "retro" / "cycles.jsonl"
|
||||
lookback = config.get("flakiness_lookback_cycles", 20)
|
||||
|
||||
if not retro_file.exists():
|
||||
return FlakinessSignal(
|
||||
status="unknown",
|
||||
recent_failures=0,
|
||||
recent_cycles=0,
|
||||
failure_rate=0.0,
|
||||
message="No cycle data available",
|
||||
)
|
||||
|
||||
try:
|
||||
entries = []
|
||||
for line in retro_file.read_text().strip().splitlines():
|
||||
try:
|
||||
entries.append(json.loads(line))
|
||||
except json.JSONDecodeError:
|
||||
continue
|
||||
|
||||
# Get recent entries
|
||||
recent = entries[-lookback:] if len(entries) > lookback else entries
|
||||
|
||||
failures = [e for e in recent if not e.get("success", True)]
|
||||
failure_count = len(failures)
|
||||
total_count = len(recent)
|
||||
|
||||
if total_count == 0:
|
||||
return FlakinessSignal(
|
||||
status="unknown",
|
||||
recent_failures=0,
|
||||
recent_cycles=0,
|
||||
failure_rate=0.0,
|
||||
message="No recent cycle data",
|
||||
)
|
||||
|
||||
failure_rate = failure_count / total_count
|
||||
|
||||
# Determine status based on failure rate
|
||||
if failure_rate < 0.1:
|
||||
status = "healthy"
|
||||
message = f"Low flakiness ({failure_rate:.0%})"
|
||||
elif failure_rate < 0.3:
|
||||
status = "degraded"
|
||||
message = f"Moderate flakiness ({failure_rate:.0%})"
|
||||
else:
|
||||
status = "critical"
|
||||
message = f"High flakiness ({failure_rate:.0%})"
|
||||
|
||||
return FlakinessSignal(
|
||||
status=status,
|
||||
recent_failures=failure_count,
|
||||
recent_cycles=total_count,
|
||||
failure_rate=failure_rate,
|
||||
message=message,
|
||||
)
|
||||
|
||||
except (OSError, ValueError) as exc:
|
||||
return FlakinessSignal(
|
||||
status="unknown",
|
||||
recent_failures=0,
|
||||
recent_cycles=0,
|
||||
failure_rate=0.0,
|
||||
message=f"Could not read cycle data: {exc}",
|
||||
)
|
||||
|
||||
|
||||
def check_token_economy(config: dict) -> TokenEconomySignal:
|
||||
"""Check token economy temperature from recent transactions."""
|
||||
# This is a simplified check - in a full implementation,
|
||||
# this would query the token ledger
|
||||
ledger_file = REPO_ROOT / ".loop" / "token_economy.jsonl"
|
||||
|
||||
if not ledger_file.exists():
|
||||
return TokenEconomySignal(
|
||||
status="unknown",
|
||||
message="No token economy data",
|
||||
)
|
||||
|
||||
try:
|
||||
# Read last 24 hours of transactions
|
||||
since = datetime.now(timezone.utc) - timedelta(hours=24)
|
||||
|
||||
recent_mint = 0
|
||||
recent_burn = 0
|
||||
|
||||
for line in ledger_file.read_text().strip().splitlines():
|
||||
try:
|
||||
tx = json.loads(line)
|
||||
tx_time = datetime.fromisoformat(tx.get("timestamp", "1970-01-01").replace("Z", "+00:00"))
|
||||
if tx_time >= since:
|
||||
delta = tx.get("delta", 0)
|
||||
if delta > 0:
|
||||
recent_mint += delta
|
||||
else:
|
||||
recent_burn += abs(delta)
|
||||
except (json.JSONDecodeError, ValueError):
|
||||
continue
|
||||
|
||||
# Simple temperature check
|
||||
if recent_mint > recent_burn * 2:
|
||||
status = "inflationary"
|
||||
message = f"High mint activity (+{recent_mint}/-{recent_burn})"
|
||||
elif recent_burn > recent_mint * 2:
|
||||
status = "deflationary"
|
||||
message = f"High burn activity (+{recent_mint}/-{recent_burn})"
|
||||
else:
|
||||
status = "balanced"
|
||||
message = f"Balanced flow (+{recent_mint}/-{recent_burn})"
|
||||
|
||||
return TokenEconomySignal(
|
||||
status=status,
|
||||
message=message,
|
||||
recent_mint=recent_mint,
|
||||
recent_burn=recent_burn,
|
||||
)
|
||||
|
||||
except (OSError, ValueError) as exc:
|
||||
return TokenEconomySignal(
|
||||
status="unknown",
|
||||
message=f"Could not read token data: {exc}",
|
||||
)
|
||||
|
||||
|
||||
def calculate_overall_status(
|
||||
ci: CISignal,
|
||||
issues: IssueSignal,
|
||||
flakiness: FlakinessSignal,
|
||||
) -> str:
|
||||
"""Calculate overall status from individual signals."""
|
||||
# Red conditions
|
||||
if ci.status == "fail":
|
||||
return "red"
|
||||
if issues.p0_count > 0:
|
||||
return "red"
|
||||
if flakiness.status == "critical":
|
||||
return "red"
|
||||
|
||||
# Yellow conditions
|
||||
if ci.status == "unknown":
|
||||
return "yellow"
|
||||
if issues.p1_count > 0:
|
||||
return "yellow"
|
||||
if flakiness.status == "degraded":
|
||||
return "yellow"
|
||||
|
||||
# Green
|
||||
return "green"
|
||||
|
||||
|
||||
# ── Main Functions ────────────────────────────────────────────────────────
|
||||
|
||||
def generate_snapshot(config: dict, token: str | None) -> HealthSnapshot:
|
||||
"""Generate a complete health snapshot."""
|
||||
client = GiteaClient(config, token)
|
||||
|
||||
# Always run all checks (don't short-circuit)
|
||||
if client.is_available():
|
||||
ci = check_ci_status(client, config)
|
||||
issues = check_critical_issues(client, config)
|
||||
else:
|
||||
ci = CISignal(
|
||||
status="unavailable",
|
||||
message="Gitea unavailable",
|
||||
)
|
||||
issues = IssueSignal(count=0, p0_count=0, p1_count=0, issues=[])
|
||||
|
||||
flakiness = check_flakiness(config)
|
||||
tokens = check_token_economy(config)
|
||||
|
||||
overall = calculate_overall_status(ci, issues, flakiness)
|
||||
|
||||
return HealthSnapshot(
|
||||
timestamp=datetime.now(timezone.utc).isoformat(),
|
||||
overall_status=overall,
|
||||
ci=ci,
|
||||
issues=issues,
|
||||
flakiness=flakiness,
|
||||
tokens=tokens,
|
||||
)
|
||||
|
||||
|
||||
def print_snapshot(snapshot: HealthSnapshot, verbose: bool = False) -> None:
|
||||
"""Print a formatted health snapshot."""
|
||||
# Status emoji
|
||||
status_emoji = {"green": "🟢", "yellow": "🟡", "red": "🔴"}.get(
|
||||
snapshot.overall_status, "⚪"
|
||||
)
|
||||
|
||||
print("=" * 60)
|
||||
print(f"{status_emoji} HEALTH SNAPSHOT")
|
||||
print("=" * 60)
|
||||
print(f"Generated: {snapshot.timestamp}")
|
||||
print(f"Overall: {snapshot.overall_status.upper()}")
|
||||
print()
|
||||
|
||||
# CI Status
|
||||
ci_emoji = {"pass": "✅", "fail": "❌", "unknown": "⚠️", "unavailable": "⚪"}.get(
|
||||
snapshot.ci.status, "⚪"
|
||||
)
|
||||
print(f"{ci_emoji} CI: {snapshot.ci.message}")
|
||||
|
||||
# Issues
|
||||
if snapshot.issues.p0_count > 0:
|
||||
issue_emoji = "🔴"
|
||||
elif snapshot.issues.p1_count > 0:
|
||||
issue_emoji = "🟡"
|
||||
else:
|
||||
issue_emoji = "✅"
|
||||
print(f"{issue_emoji} Issues: {snapshot.issues.count} critical")
|
||||
if snapshot.issues.p0_count > 0:
|
||||
print(f" 🔴 P0: {snapshot.issues.p0_count}")
|
||||
if snapshot.issues.p1_count > 0:
|
||||
print(f" 🟡 P1: {snapshot.issues.p1_count}")
|
||||
|
||||
# Flakiness
|
||||
flak_emoji = {"healthy": "✅", "degraded": "🟡", "critical": "🔴", "unknown": "⚪"}.get(
|
||||
snapshot.flakiness.status, "⚪"
|
||||
)
|
||||
print(f"{flak_emoji} Flakiness: {snapshot.flakiness.message}")
|
||||
|
||||
# Token Economy
|
||||
token_emoji = {"balanced": "✅", "inflationary": "🟡", "deflationary": "🔵", "unknown": "⚪"}.get(
|
||||
snapshot.tokens.status, "⚪"
|
||||
)
|
||||
print(f"{token_emoji} Tokens: {snapshot.tokens.message}")
|
||||
|
||||
# Verbose: show issue details
|
||||
if verbose and snapshot.issues.issues:
|
||||
print()
|
||||
print("Critical Issues:")
|
||||
for issue in snapshot.issues.issues[:5]:
|
||||
print(f" #{issue['number']}: {issue['title'][:50]}")
|
||||
|
||||
print()
|
||||
print("─" * 60)
|
||||
|
||||
|
||||
def parse_args() -> argparse.Namespace:
|
||||
p = argparse.ArgumentParser(
|
||||
description="Quick health snapshot before coding",
|
||||
)
|
||||
p.add_argument(
|
||||
"--json", "-j",
|
||||
action="store_true",
|
||||
help="Output as JSON",
|
||||
)
|
||||
p.add_argument(
|
||||
"--verbose", "-v",
|
||||
action="store_true",
|
||||
help="Show verbose output including issue details",
|
||||
)
|
||||
p.add_argument(
|
||||
"--quiet", "-q",
|
||||
action="store_true",
|
||||
help="Only show status line (no details)",
|
||||
)
|
||||
return p.parse_args()
|
||||
|
||||
|
||||
def main() -> int:
|
||||
"""Main entry point for CLI."""
|
||||
args = parse_args()
|
||||
config = load_config()
|
||||
token = get_token(config)
|
||||
|
||||
snapshot = generate_snapshot(config, token)
|
||||
|
||||
if args.json:
|
||||
print(json.dumps(snapshot.to_dict(), indent=2))
|
||||
elif args.quiet:
|
||||
status_emoji = {"green": "🟢", "yellow": "🟡", "red": "🔴"}.get(
|
||||
snapshot.overall_status, "⚪"
|
||||
)
|
||||
print(f"{status_emoji} {snapshot.overall_status.upper()}")
|
||||
else:
|
||||
print_snapshot(snapshot, verbose=args.verbose)
|
||||
|
||||
# Exit with non-zero if red status
|
||||
return 0 if snapshot.overall_status != "red" else 1
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
sys.exit(main())
|
||||
@@ -22,6 +22,14 @@ from typing import Any
|
||||
from urllib.request import Request, urlopen
|
||||
from urllib.error import HTTPError, URLError
|
||||
|
||||
# ── Token Economy Integration ──────────────────────────────────────────────
|
||||
# Import token rules helpers for tracking Daily Run rewards
|
||||
|
||||
sys.path.insert(
|
||||
0, str(Path(__file__).resolve().parent.parent)
|
||||
)
|
||||
from utils.token_rules import TokenRules, compute_token_reward
|
||||
|
||||
# ── Configuration ─────────────────────────────────────────────────────────
|
||||
|
||||
REPO_ROOT = Path(__file__).resolve().parent.parent.parent
|
||||
@@ -490,6 +498,43 @@ def parse_args() -> argparse.Namespace:
|
||||
return p.parse_args()
|
||||
|
||||
|
||||
def compute_daily_run_tokens(success: bool = True) -> dict[str, Any]:
|
||||
"""Compute token rewards for Daily Run completion.
|
||||
|
||||
Uses the centralized token_rules configuration to calculate
|
||||
rewards/penalties for automation actions.
|
||||
|
||||
Args:
|
||||
success: Whether the Daily Run completed successfully
|
||||
|
||||
Returns:
|
||||
Token transaction details
|
||||
"""
|
||||
rules = TokenRules()
|
||||
|
||||
if success:
|
||||
# Daily run completed successfully
|
||||
transaction = compute_token_reward("daily_run_completed", current_tokens=0)
|
||||
|
||||
# Also compute golden path generation if agenda was created
|
||||
agenda_transaction = compute_token_reward("golden_path_generated", current_tokens=0)
|
||||
|
||||
return {
|
||||
"daily_run": transaction,
|
||||
"golden_path": agenda_transaction,
|
||||
"total_delta": transaction.get("delta", 0) + agenda_transaction.get("delta", 0),
|
||||
"config_version": rules.get_config_version(),
|
||||
}
|
||||
else:
|
||||
# Automation failed
|
||||
transaction = compute_token_reward("automation_failure", current_tokens=0)
|
||||
return {
|
||||
"automation_failure": transaction,
|
||||
"total_delta": transaction.get("delta", 0),
|
||||
"config_version": rules.get_config_version(),
|
||||
}
|
||||
|
||||
|
||||
def main() -> int:
|
||||
args = parse_args()
|
||||
config = load_config()
|
||||
@@ -503,10 +548,13 @@ def main() -> int:
|
||||
# Check Gitea availability
|
||||
if not client.is_available():
|
||||
error_msg = "[orchestrator] Error: Gitea API is not available"
|
||||
# Compute failure tokens even when unavailable
|
||||
tokens = compute_daily_run_tokens(success=False)
|
||||
if args.json:
|
||||
print(json.dumps({"error": error_msg}))
|
||||
print(json.dumps({"error": error_msg, "tokens": tokens}))
|
||||
else:
|
||||
print(error_msg, file=sys.stderr)
|
||||
print(f"[tokens] Failure penalty: {tokens['total_delta']}", file=sys.stderr)
|
||||
return 1
|
||||
|
||||
# Fetch candidates and generate agenda
|
||||
@@ -521,9 +569,12 @@ def main() -> int:
|
||||
cycles = load_cycle_data()
|
||||
day_summary = generate_day_summary(activity, cycles)
|
||||
|
||||
# Compute token rewards for successful completion
|
||||
tokens = compute_daily_run_tokens(success=True)
|
||||
|
||||
# Output
|
||||
if args.json:
|
||||
output = {"agenda": agenda}
|
||||
output = {"agenda": agenda, "tokens": tokens}
|
||||
if day_summary:
|
||||
output["day_summary"] = day_summary
|
||||
print(json.dumps(output, indent=2))
|
||||
@@ -531,6 +582,15 @@ def main() -> int:
|
||||
print_agenda(agenda)
|
||||
if day_summary and activity:
|
||||
print_day_summary(day_summary, activity)
|
||||
# Show token rewards
|
||||
print("─" * 60)
|
||||
print("🪙 Token Rewards")
|
||||
print("─" * 60)
|
||||
print(f"Daily Run completed: +{tokens['daily_run']['delta']} tokens")
|
||||
if candidates:
|
||||
print(f"Golden path generated: +{tokens['golden_path']['delta']} tokens")
|
||||
print(f"Total: +{tokens['total_delta']} tokens")
|
||||
print(f"Config version: {tokens['config_version']}")
|
||||
|
||||
return 0
|
||||
|
||||
|
||||
745
timmy_automations/daily_run/weekly_narrative.py
Normal file
745
timmy_automations/daily_run/weekly_narrative.py
Normal file
@@ -0,0 +1,745 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Weekly narrative summary generator — human-readable loop analysis.
|
||||
|
||||
Analyzes the past week's activity across the development loop to produce
|
||||
a narrative summary of:
|
||||
- What changed (themes, areas of focus)
|
||||
- How agents and Timmy contributed
|
||||
- Any shifts in tests, triage, or token economy
|
||||
|
||||
The output is designed to be skimmable — a quick read that gives context
|
||||
on the week's progress without drowning in metrics.
|
||||
|
||||
Run: python3 timmy_automations/daily_run/weekly_narrative.py [--json]
|
||||
Env: See timmy_automations/config/automations.json for configuration
|
||||
|
||||
Refs: #719
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import json
|
||||
import os
|
||||
import sys
|
||||
from collections import Counter
|
||||
from datetime import UTC, datetime, timedelta
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
from urllib.error import HTTPError, URLError
|
||||
from urllib.request import Request, urlopen
|
||||
|
||||
# ── Configuration ─────────────────────────────────────────────────────────
|
||||
|
||||
REPO_ROOT = Path(__file__).resolve().parent.parent.parent
|
||||
CONFIG_PATH = Path(__file__).parent.parent / "config" / "automations.json"
|
||||
|
||||
DEFAULT_CONFIG = {
|
||||
"gitea_api": "http://localhost:3000/api/v1",
|
||||
"repo_slug": "rockachopa/Timmy-time-dashboard",
|
||||
"token_file": "~/.hermes/gitea_token",
|
||||
"lookback_days": 7,
|
||||
"output_file": ".loop/weekly_narrative.json",
|
||||
"enabled": True,
|
||||
}
|
||||
|
||||
|
||||
# ── Data Loading ───────────────────────────────────────────────────────────
|
||||
|
||||
|
||||
def load_automation_config() -> dict:
|
||||
"""Load configuration for weekly_narrative from automations manifest."""
|
||||
config = DEFAULT_CONFIG.copy()
|
||||
if CONFIG_PATH.exists():
|
||||
try:
|
||||
manifest = json.loads(CONFIG_PATH.read_text())
|
||||
for auto in manifest.get("automations", []):
|
||||
if auto.get("id") == "weekly_narrative":
|
||||
config.update(auto.get("config", {}))
|
||||
config["enabled"] = auto.get("enabled", True)
|
||||
break
|
||||
except (json.JSONDecodeError, OSError) as exc:
|
||||
print(f"[weekly_narrative] Warning: Could not load config: {exc}", file=sys.stderr)
|
||||
|
||||
# Environment variable overrides
|
||||
if os.environ.get("TIMMY_GITEA_API"):
|
||||
config["gitea_api"] = os.environ.get("TIMMY_GITEA_API")
|
||||
if os.environ.get("TIMMY_REPO_SLUG"):
|
||||
config["repo_slug"] = os.environ.get("TIMMY_REPO_SLUG")
|
||||
if os.environ.get("TIMMY_GITEA_TOKEN"):
|
||||
config["token"] = os.environ.get("TIMMY_GITEA_TOKEN")
|
||||
if os.environ.get("TIMMY_WEEKLY_NARRATIVE_ENABLED"):
|
||||
config["enabled"] = os.environ.get("TIMMY_WEEKLY_NARRATIVE_ENABLED", "true").lower() == "true"
|
||||
|
||||
return config
|
||||
|
||||
|
||||
def get_token(config: dict) -> str | None:
|
||||
"""Get Gitea token from environment or file."""
|
||||
if "token" in config:
|
||||
return config["token"]
|
||||
|
||||
token_file = Path(config["token_file"]).expanduser()
|
||||
if token_file.exists():
|
||||
return token_file.read_text().strip()
|
||||
|
||||
return None
|
||||
|
||||
|
||||
def load_jsonl(path: Path) -> list[dict]:
|
||||
"""Load a JSONL file, skipping bad lines."""
|
||||
if not path.exists():
|
||||
return []
|
||||
entries = []
|
||||
for line in path.read_text().strip().splitlines():
|
||||
try:
|
||||
entries.append(json.loads(line))
|
||||
except (json.JSONDecodeError, ValueError):
|
||||
continue
|
||||
return entries
|
||||
|
||||
|
||||
def parse_ts(ts_str: str) -> datetime | None:
|
||||
"""Parse an ISO timestamp, tolerating missing tz."""
|
||||
if not ts_str:
|
||||
return None
|
||||
try:
|
||||
dt = datetime.fromisoformat(ts_str.replace("Z", "+00:00"))
|
||||
if dt.tzinfo is None:
|
||||
dt = dt.replace(tzinfo=UTC)
|
||||
return dt
|
||||
except (ValueError, TypeError):
|
||||
return None
|
||||
|
||||
|
||||
# ── Gitea API Client ───────────────────────────────────────────────────────
|
||||
|
||||
|
||||
class GiteaClient:
|
||||
"""Simple Gitea API client with graceful degradation."""
|
||||
|
||||
def __init__(self, config: dict, token: str | None):
|
||||
self.api_base = config["gitea_api"].rstrip("/")
|
||||
self.repo_slug = config["repo_slug"]
|
||||
self.token = token
|
||||
self._available: bool | None = None
|
||||
|
||||
def _headers(self) -> dict:
|
||||
headers = {"Accept": "application/json"}
|
||||
if self.token:
|
||||
headers["Authorization"] = f"token {self.token}"
|
||||
return headers
|
||||
|
||||
def _api_url(self, path: str) -> str:
|
||||
return f"{self.api_base}/repos/{self.repo_slug}/{path}"
|
||||
|
||||
def is_available(self) -> bool:
|
||||
"""Check if Gitea API is reachable."""
|
||||
if self._available is not None:
|
||||
return self._available
|
||||
|
||||
try:
|
||||
req = Request(
|
||||
f"{self.api_base}/version",
|
||||
headers=self._headers(),
|
||||
method="GET",
|
||||
)
|
||||
with urlopen(req, timeout=5) as resp:
|
||||
self._available = resp.status == 200
|
||||
return self._available
|
||||
except (HTTPError, URLError, TimeoutError):
|
||||
self._available = False
|
||||
return False
|
||||
|
||||
def get_paginated(self, path: str, params: dict | None = None) -> list:
|
||||
"""Fetch all pages of a paginated endpoint."""
|
||||
all_items = []
|
||||
page = 1
|
||||
limit = 50
|
||||
|
||||
while True:
|
||||
url = self._api_url(path)
|
||||
query_parts = [f"limit={limit}", f"page={page}"]
|
||||
if params:
|
||||
for key, val in params.items():
|
||||
query_parts.append(f"{key}={val}")
|
||||
url = f"{url}?{'&'.join(query_parts)}"
|
||||
|
||||
req = Request(url, headers=self._headers(), method="GET")
|
||||
with urlopen(req, timeout=15) as resp:
|
||||
batch = json.loads(resp.read())
|
||||
|
||||
if not batch:
|
||||
break
|
||||
|
||||
all_items.extend(batch)
|
||||
if len(batch) < limit:
|
||||
break
|
||||
page += 1
|
||||
|
||||
return all_items
|
||||
|
||||
|
||||
# ── Data Collection ────────────────────────────────────────────────────────
|
||||
|
||||
|
||||
def collect_cycles_data(since: datetime) -> dict:
|
||||
"""Load cycle retrospective data from the lookback period."""
|
||||
cycles_file = REPO_ROOT / ".loop" / "retro" / "cycles.jsonl"
|
||||
if not cycles_file.exists():
|
||||
return {"cycles": [], "total": 0, "successes": 0, "failures": 0}
|
||||
|
||||
entries = load_jsonl(cycles_file)
|
||||
recent = []
|
||||
for e in entries:
|
||||
ts = parse_ts(e.get("timestamp", ""))
|
||||
if ts and ts >= since:
|
||||
recent.append(e)
|
||||
|
||||
successes = [e for e in recent if e.get("success")]
|
||||
failures = [e for e in recent if not e.get("success")]
|
||||
|
||||
return {
|
||||
"cycles": recent,
|
||||
"total": len(recent),
|
||||
"successes": len(successes),
|
||||
"failures": len(failures),
|
||||
"success_rate": round(len(successes) / len(recent), 2) if recent else 0,
|
||||
}
|
||||
|
||||
|
||||
def collect_issues_data(client: GiteaClient, since: datetime) -> dict:
|
||||
"""Collect issue activity from Gitea."""
|
||||
if not client.is_available():
|
||||
return {"error": "Gitea unavailable", "issues": [], "closed": [], "opened": []}
|
||||
|
||||
try:
|
||||
issues = client.get_paginated("issues", {"state": "all", "sort": "updated", "limit": 100})
|
||||
except (HTTPError, URLError) as exc:
|
||||
return {"error": str(exc), "issues": [], "closed": [], "opened": []}
|
||||
|
||||
touched = []
|
||||
closed = []
|
||||
opened = []
|
||||
|
||||
for issue in issues:
|
||||
updated_at = issue.get("updated_at", "")
|
||||
created_at = issue.get("created_at", "")
|
||||
|
||||
updated = parse_ts(updated_at)
|
||||
created = parse_ts(created_at)
|
||||
|
||||
if updated and updated >= since:
|
||||
touched.append(issue)
|
||||
|
||||
if issue.get("state") == "closed":
|
||||
closed_at = issue.get("closed_at", "")
|
||||
closed_dt = parse_ts(closed_at)
|
||||
if closed_dt and closed_dt >= since:
|
||||
closed.append(issue)
|
||||
elif created and created >= since:
|
||||
opened.append(issue)
|
||||
|
||||
return {
|
||||
"issues": touched,
|
||||
"closed": closed,
|
||||
"opened": opened,
|
||||
"touched_count": len(touched),
|
||||
"closed_count": len(closed),
|
||||
"opened_count": len(opened),
|
||||
}
|
||||
|
||||
|
||||
def collect_prs_data(client: GiteaClient, since: datetime) -> dict:
|
||||
"""Collect PR activity from Gitea."""
|
||||
if not client.is_available():
|
||||
return {"error": "Gitea unavailable", "prs": [], "merged": [], "opened": []}
|
||||
|
||||
try:
|
||||
prs = client.get_paginated("pulls", {"state": "all", "sort": "updated", "limit": 100})
|
||||
except (HTTPError, URLError) as exc:
|
||||
return {"error": str(exc), "prs": [], "merged": [], "opened": []}
|
||||
|
||||
touched = []
|
||||
merged = []
|
||||
opened = []
|
||||
|
||||
for pr in prs:
|
||||
updated_at = pr.get("updated_at", "")
|
||||
created_at = pr.get("created_at", "")
|
||||
merged_at = pr.get("merged_at", "")
|
||||
|
||||
updated = parse_ts(updated_at)
|
||||
created = parse_ts(created_at)
|
||||
merged_dt = parse_ts(merged_at) if merged_at else None
|
||||
|
||||
if updated and updated >= since:
|
||||
touched.append(pr)
|
||||
|
||||
if pr.get("merged") and merged_dt and merged_dt >= since:
|
||||
merged.append(pr)
|
||||
elif created and created >= since:
|
||||
opened.append(pr)
|
||||
|
||||
return {
|
||||
"prs": touched,
|
||||
"merged": merged,
|
||||
"opened": opened,
|
||||
"touched_count": len(touched),
|
||||
"merged_count": len(merged),
|
||||
"opened_count": len(opened),
|
||||
}
|
||||
|
||||
|
||||
def collect_triage_data(since: datetime) -> dict:
|
||||
"""Load triage and introspection data."""
|
||||
triage_file = REPO_ROOT / ".loop" / "retro" / "triage.jsonl"
|
||||
insights_file = REPO_ROOT / ".loop" / "retro" / "insights.json"
|
||||
|
||||
triage_entries = load_jsonl(triage_file)
|
||||
recent_triage = [
|
||||
e for e in triage_entries
|
||||
if parse_ts(e.get("timestamp", "")) and parse_ts(e.get("timestamp", "")) >= since
|
||||
]
|
||||
|
||||
insights = {}
|
||||
if insights_file.exists():
|
||||
try:
|
||||
insights = json.loads(insights_file.read_text())
|
||||
except (json.JSONDecodeError, OSError):
|
||||
pass
|
||||
|
||||
return {
|
||||
"triage_runs": len(recent_triage),
|
||||
"triage_entries": recent_triage,
|
||||
"latest_insights": insights,
|
||||
}
|
||||
|
||||
|
||||
def collect_token_data(since: datetime) -> dict:
|
||||
"""Load token economy data from the lightning ledger."""
|
||||
# The ledger is in-memory but we can look for any persisted data
|
||||
# For now, return placeholder that will be filled by the ledger module
|
||||
return {
|
||||
"note": "Token economy data is ephemeral — check dashboard for live metrics",
|
||||
"balance_sats": 0, # Placeholder
|
||||
"transactions_week": 0,
|
||||
}
|
||||
|
||||
|
||||
# ── Analysis Functions ─────────────────────────────────────────────────────
|
||||
|
||||
|
||||
def extract_themes(issues: list[dict]) -> list[dict]:
|
||||
"""Extract themes from issue labels."""
|
||||
label_counts = Counter()
|
||||
layer_counts = Counter()
|
||||
type_counts = Counter()
|
||||
|
||||
for issue in issues:
|
||||
for label in issue.get("labels", []):
|
||||
name = label.get("name", "")
|
||||
label_counts[name] += 1
|
||||
|
||||
if name.startswith("layer:"):
|
||||
layer_counts[name.replace("layer:", "")] += 1
|
||||
if name in ("bug", "feature", "refactor", "docs", "test", "chore"):
|
||||
type_counts[name] += 1
|
||||
|
||||
# Top themes (labels excluding layer prefixes)
|
||||
themes = [
|
||||
{"name": name, "count": count}
|
||||
for name, count in label_counts.most_common(10)
|
||||
if not name.startswith(("layer:", "size:"))
|
||||
]
|
||||
|
||||
# Layers
|
||||
layers = [
|
||||
{"name": name, "count": count}
|
||||
for name, count in layer_counts.most_common()
|
||||
]
|
||||
|
||||
# Types
|
||||
types = [
|
||||
{"name": name, "count": count}
|
||||
for name, count in type_counts.most_common()
|
||||
]
|
||||
|
||||
return {
|
||||
"top_labels": themes,
|
||||
"layers": layers,
|
||||
"types": types,
|
||||
}
|
||||
|
||||
|
||||
def extract_agent_contributions(issues: list[dict], prs: list[dict], cycles: list[dict]) -> dict:
|
||||
"""Extract agent contribution patterns."""
|
||||
# Count by assignee
|
||||
assignee_counts = Counter()
|
||||
for issue in issues:
|
||||
assignee = issue.get("assignee")
|
||||
if assignee and isinstance(assignee, dict):
|
||||
assignee_counts[assignee.get("login", "unknown")] += 1
|
||||
|
||||
# Count PR authors
|
||||
pr_authors = Counter()
|
||||
for pr in prs:
|
||||
user = pr.get("user")
|
||||
if user and isinstance(user, dict):
|
||||
pr_authors[user.get("login", "unknown")] += 1
|
||||
|
||||
# Check for Kimi mentions in cycle notes
|
||||
kimi_mentions = sum(
|
||||
1 for c in cycles
|
||||
if "kimi" in c.get("notes", "").lower() or "kimi" in c.get("reason", "").lower()
|
||||
)
|
||||
|
||||
return {
|
||||
"active_assignees": [
|
||||
{"login": login, "issues_count": count}
|
||||
for login, count in assignee_counts.most_common()
|
||||
],
|
||||
"pr_authors": [
|
||||
{"login": login, "prs_count": count}
|
||||
for login, count in pr_authors.most_common()
|
||||
],
|
||||
"kimi_mentioned_cycles": kimi_mentions,
|
||||
}
|
||||
|
||||
|
||||
def analyze_test_shifts(cycles: list[dict]) -> dict:
|
||||
"""Analyze shifts in test patterns."""
|
||||
if not cycles:
|
||||
return {"note": "No cycle data available"}
|
||||
|
||||
total_tests_passed = sum(c.get("tests_passed", 0) for c in cycles)
|
||||
total_tests_added = sum(c.get("tests_added", 0) for c in cycles)
|
||||
avg_tests_per_cycle = round(total_tests_passed / len(cycles), 1) if cycles else 0
|
||||
|
||||
# Look for test-related issues
|
||||
test_focused = [
|
||||
c for c in cycles
|
||||
if c.get("type") == "test" or "test" in c.get("notes", "").lower()
|
||||
]
|
||||
|
||||
return {
|
||||
"total_tests_passed": total_tests_passed,
|
||||
"total_tests_added": total_tests_added,
|
||||
"avg_tests_per_cycle": avg_tests_per_cycle,
|
||||
"test_focused_cycles": len(test_focused),
|
||||
}
|
||||
|
||||
|
||||
def analyze_triage_shifts(triage_data: dict) -> dict:
|
||||
"""Analyze shifts in triage patterns."""
|
||||
insights = triage_data.get("latest_insights", {})
|
||||
recommendations = insights.get("recommendations", [])
|
||||
|
||||
high_priority_recs = [
|
||||
r for r in recommendations
|
||||
if r.get("severity") == "high"
|
||||
]
|
||||
|
||||
return {
|
||||
"triage_runs": triage_data.get("triage_runs", 0),
|
||||
"insights_generated": insights.get("generated_at") is not None,
|
||||
"high_priority_recommendations": len(high_priority_recs),
|
||||
"recent_recommendations": recommendations[:3] if recommendations else [],
|
||||
}
|
||||
|
||||
|
||||
def generate_vibe_summary(
|
||||
cycles_data: dict,
|
||||
issues_data: dict,
|
||||
prs_data: dict,
|
||||
themes: dict,
|
||||
agent_contrib: dict,
|
||||
test_shifts: dict,
|
||||
triage_shifts: dict,
|
||||
) -> dict:
|
||||
"""Generate the human-readable 'vibe' summary."""
|
||||
# Determine overall vibe
|
||||
success_rate = cycles_data.get("success_rate", 0)
|
||||
failures = cycles_data.get("failures", 0)
|
||||
closed_count = issues_data.get("closed_count", 0)
|
||||
merged_count = prs_data.get("merged_count", 0)
|
||||
|
||||
if success_rate >= 0.9 and closed_count > 0:
|
||||
vibe = "productive"
|
||||
vibe_description = "A strong week with solid delivery and healthy success rates."
|
||||
elif success_rate >= 0.7:
|
||||
vibe = "steady"
|
||||
vibe_description = "Steady progress with some bumps. Things are moving forward."
|
||||
elif failures > cycles_data.get("successes", 0):
|
||||
vibe = "struggling"
|
||||
vibe_description = "A challenging week with more failures than successes. Time to regroup."
|
||||
else:
|
||||
vibe = "quiet"
|
||||
vibe_description = "A lighter week with limited activity."
|
||||
|
||||
# Focus areas from themes
|
||||
focus_areas = []
|
||||
for layer in themes.get("layers", [])[:3]:
|
||||
focus_areas.append(f"{layer['name']} ({layer['count']} items)")
|
||||
|
||||
# Agent activity summary
|
||||
agent_summary = ""
|
||||
active_assignees = agent_contrib.get("active_assignees", [])
|
||||
if active_assignees:
|
||||
top_agent = active_assignees[0]
|
||||
agent_summary = f"{top_agent['login']} led with {top_agent['issues_count']} assigned issues."
|
||||
|
||||
# Notable events
|
||||
notable = []
|
||||
if merged_count > 5:
|
||||
notable.append(f"{merged_count} PRs merged — high integration velocity")
|
||||
if triage_shifts.get("high_priority_recommendations", 0) > 0:
|
||||
notable.append("High-priority recommendations from loop introspection")
|
||||
if test_shifts.get("test_focused_cycles", 0) > 3:
|
||||
notable.append("Strong test coverage focus")
|
||||
if not notable:
|
||||
notable.append("Regular development flow")
|
||||
|
||||
return {
|
||||
"overall": vibe,
|
||||
"description": vibe_description,
|
||||
"focus_areas": focus_areas,
|
||||
"agent_summary": agent_summary,
|
||||
"notable_events": notable,
|
||||
}
|
||||
|
||||
|
||||
# ── Narrative Generation ───────────────────────────────────────────────────
|
||||
|
||||
|
||||
def generate_narrative(
|
||||
cycles_data: dict,
|
||||
issues_data: dict,
|
||||
prs_data: dict,
|
||||
triage_data: dict,
|
||||
themes: dict,
|
||||
agent_contrib: dict,
|
||||
test_shifts: dict,
|
||||
triage_shifts: dict,
|
||||
token_data: dict,
|
||||
since: datetime,
|
||||
until: datetime,
|
||||
) -> dict:
|
||||
"""Generate the complete weekly narrative."""
|
||||
vibe = generate_vibe_summary(
|
||||
cycles_data, issues_data, prs_data, themes, agent_contrib, test_shifts, triage_shifts
|
||||
)
|
||||
|
||||
return {
|
||||
"generated_at": datetime.now(UTC).isoformat(),
|
||||
"period": {
|
||||
"start": since.isoformat(),
|
||||
"end": until.isoformat(),
|
||||
"days": 7,
|
||||
},
|
||||
"vibe": vibe,
|
||||
"activity": {
|
||||
"cycles": {
|
||||
"total": cycles_data.get("total", 0),
|
||||
"successes": cycles_data.get("successes", 0),
|
||||
"failures": cycles_data.get("failures", 0),
|
||||
"success_rate": cycles_data.get("success_rate", 0),
|
||||
},
|
||||
"issues": {
|
||||
"touched": issues_data.get("touched_count", 0),
|
||||
"closed": issues_data.get("closed_count", 0),
|
||||
"opened": issues_data.get("opened_count", 0),
|
||||
},
|
||||
"pull_requests": {
|
||||
"touched": prs_data.get("touched_count", 0),
|
||||
"merged": prs_data.get("merged_count", 0),
|
||||
"opened": prs_data.get("opened_count", 0),
|
||||
},
|
||||
},
|
||||
"themes": themes,
|
||||
"agents": agent_contrib,
|
||||
"test_health": test_shifts,
|
||||
"triage_health": triage_shifts,
|
||||
"token_economy": token_data,
|
||||
}
|
||||
|
||||
|
||||
def generate_markdown_summary(narrative: dict) -> str:
|
||||
"""Generate a human-readable markdown summary."""
|
||||
vibe = narrative.get("vibe", {})
|
||||
activity = narrative.get("activity", {})
|
||||
cycles = activity.get("cycles", {})
|
||||
issues = activity.get("issues", {})
|
||||
prs = activity.get("pull_requests", {})
|
||||
|
||||
lines = [
|
||||
"# Weekly Narrative Summary",
|
||||
"",
|
||||
f"**Period:** {narrative['period']['start'][:10]} to {narrative['period']['end'][:10]}",
|
||||
f"**Vibe:** {vibe.get('overall', 'unknown').title()}",
|
||||
"",
|
||||
f"{vibe.get('description', '')}",
|
||||
"",
|
||||
"## Activity Highlights",
|
||||
"",
|
||||
f"- **Development Cycles:** {cycles.get('total', 0)} total ({cycles.get('successes', 0)} success, {cycles.get('failures', 0)} failure)",
|
||||
f"- **Issues:** {issues.get('closed', 0)} closed, {issues.get('opened', 0)} opened",
|
||||
f"- **Pull Requests:** {prs.get('merged', 0)} merged, {prs.get('opened', 0)} opened",
|
||||
"",
|
||||
]
|
||||
|
||||
# Focus areas
|
||||
focus = vibe.get("focus_areas", [])
|
||||
if focus:
|
||||
lines.append("## Focus Areas")
|
||||
lines.append("")
|
||||
for area in focus:
|
||||
lines.append(f"- {area}")
|
||||
lines.append("")
|
||||
|
||||
# Agent contributions
|
||||
agent_summary = vibe.get("agent_summary", "")
|
||||
if agent_summary:
|
||||
lines.append("## Agent Activity")
|
||||
lines.append("")
|
||||
lines.append(agent_summary)
|
||||
lines.append("")
|
||||
|
||||
# Notable events
|
||||
notable = vibe.get("notable_events", [])
|
||||
if notable:
|
||||
lines.append("## Notable Events")
|
||||
lines.append("")
|
||||
for event in notable:
|
||||
lines.append(f"- {event}")
|
||||
lines.append("")
|
||||
|
||||
# Triage health
|
||||
triage = narrative.get("triage_health", {})
|
||||
if triage.get("high_priority_recommendations", 0) > 0:
|
||||
lines.append("## Triage Notes")
|
||||
lines.append("")
|
||||
lines.append(f"⚠️ {triage['high_priority_recommendations']} high-priority recommendation(s) from loop introspection.")
|
||||
lines.append("")
|
||||
for rec in triage.get("recent_recommendations", [])[:2]:
|
||||
lines.append(f"- **{rec.get('category', 'general')}:** {rec.get('finding', '')}")
|
||||
lines.append("")
|
||||
|
||||
return "\n".join(lines)
|
||||
|
||||
|
||||
# ── Main ───────────────────────────────────────────────────────────────────
|
||||
|
||||
|
||||
def parse_args() -> argparse.Namespace:
|
||||
p = argparse.ArgumentParser(
|
||||
description="Generate weekly narrative summary of work and vibes",
|
||||
)
|
||||
p.add_argument(
|
||||
"--json", "-j",
|
||||
action="store_true",
|
||||
help="Output as JSON instead of markdown",
|
||||
)
|
||||
p.add_argument(
|
||||
"--output", "-o",
|
||||
type=str,
|
||||
default=None,
|
||||
help="Output file path (default from config)",
|
||||
)
|
||||
p.add_argument(
|
||||
"--days",
|
||||
type=int,
|
||||
default=None,
|
||||
help="Override lookback days (default 7)",
|
||||
)
|
||||
p.add_argument(
|
||||
"--force",
|
||||
action="store_true",
|
||||
help="Run even if disabled in config",
|
||||
)
|
||||
return p.parse_args()
|
||||
|
||||
|
||||
def main() -> int:
|
||||
args = parse_args()
|
||||
config = load_automation_config()
|
||||
|
||||
# Check if enabled
|
||||
if not config.get("enabled", True) and not args.force:
|
||||
print("[weekly_narrative] Skipped — weekly narrative is disabled in config")
|
||||
print("[weekly_narrative] Use --force to run anyway")
|
||||
return 0
|
||||
|
||||
# Determine lookback period
|
||||
days = args.days if args.days is not None else config.get("lookback_days", 7)
|
||||
until = datetime.now(UTC)
|
||||
since = until - timedelta(days=days)
|
||||
|
||||
print(f"[weekly_narrative] Generating narrative for the past {days} days...")
|
||||
|
||||
# Setup Gitea client
|
||||
token = get_token(config)
|
||||
client = GiteaClient(config, token)
|
||||
|
||||
if not client.is_available():
|
||||
print("[weekly_narrative] Warning: Gitea API unavailable — will use local data only")
|
||||
|
||||
# Collect data
|
||||
cycles_data = collect_cycles_data(since)
|
||||
issues_data = collect_issues_data(client, since)
|
||||
prs_data = collect_prs_data(client, since)
|
||||
triage_data = collect_triage_data(since)
|
||||
token_data = collect_token_data(since)
|
||||
|
||||
# Analyze
|
||||
themes = extract_themes(issues_data.get("issues", []))
|
||||
agent_contrib = extract_agent_contributions(
|
||||
issues_data.get("issues", []),
|
||||
prs_data.get("prs", []),
|
||||
cycles_data.get("cycles", []),
|
||||
)
|
||||
test_shifts = analyze_test_shifts(cycles_data.get("cycles", []))
|
||||
triage_shifts = analyze_triage_shifts(triage_data)
|
||||
|
||||
# Generate narrative
|
||||
narrative = generate_narrative(
|
||||
cycles_data,
|
||||
issues_data,
|
||||
prs_data,
|
||||
triage_data,
|
||||
themes,
|
||||
agent_contrib,
|
||||
test_shifts,
|
||||
triage_shifts,
|
||||
token_data,
|
||||
since,
|
||||
until,
|
||||
)
|
||||
|
||||
# Determine output path
|
||||
output_path = args.output or config.get("output_file", ".loop/weekly_narrative.json")
|
||||
output_file = REPO_ROOT / output_path
|
||||
output_file.parent.mkdir(parents=True, exist_ok=True)
|
||||
|
||||
# Write JSON output
|
||||
output_file.write_text(json.dumps(narrative, indent=2) + "\n")
|
||||
|
||||
# Write markdown summary alongside JSON
|
||||
md_output_file = output_file.with_suffix(".md")
|
||||
md_output_file.write_text(generate_markdown_summary(narrative))
|
||||
|
||||
# Print output
|
||||
if args.json:
|
||||
print(json.dumps(narrative, indent=2))
|
||||
else:
|
||||
print()
|
||||
print(generate_markdown_summary(narrative))
|
||||
|
||||
print(f"\n[weekly_narrative] Written to: {output_file}")
|
||||
print(f"[weekly_narrative] Markdown summary: {md_output_file}")
|
||||
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
sys.exit(main())
|
||||
6
timmy_automations/utils/__init__.py
Normal file
6
timmy_automations/utils/__init__.py
Normal file
@@ -0,0 +1,6 @@
|
||||
"""Timmy Automations utilities.
|
||||
|
||||
Shared helper modules for automations.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
389
timmy_automations/utils/token_rules.py
Normal file
389
timmy_automations/utils/token_rules.py
Normal file
@@ -0,0 +1,389 @@
|
||||
"""Token rules helper — Compute token deltas for agent actions.
|
||||
|
||||
This module loads token economy configuration from YAML and provides
|
||||
functions for automations to compute token rewards/penalties.
|
||||
|
||||
Usage:
|
||||
from timmy_automations.utils.token_rules import TokenRules
|
||||
|
||||
rules = TokenRules()
|
||||
delta = rules.get_delta("pr_merged")
|
||||
print(f"PR merge reward: {delta}") # 10
|
||||
|
||||
# Check if agent can perform sensitive operation
|
||||
can_merge = rules.check_gate("pr_merge", current_tokens=25)
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from dataclasses import dataclass
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
|
||||
@dataclass
|
||||
class TokenEvent:
|
||||
"""Represents a single token event configuration."""
|
||||
|
||||
name: str
|
||||
description: str
|
||||
reward: int
|
||||
penalty: int
|
||||
category: str
|
||||
gate_threshold: int | None = None
|
||||
|
||||
@property
|
||||
def delta(self) -> int:
|
||||
"""Net token delta (reward + penalty)."""
|
||||
return self.reward + self.penalty
|
||||
|
||||
|
||||
@dataclass
|
||||
class TokenCategoryLimits:
|
||||
"""Daily limits for a token category."""
|
||||
|
||||
max_earn: int
|
||||
max_spend: int
|
||||
|
||||
|
||||
class TokenRules:
|
||||
"""Token economy rules loader and calculator.
|
||||
|
||||
Loads configuration from timmy_automations/config/token_rules.yaml
|
||||
and provides methods to compute token deltas and check gating.
|
||||
"""
|
||||
|
||||
CONFIG_PATH = Path(__file__).parent.parent / "config" / "token_rules.yaml"
|
||||
|
||||
def __init__(self, config_path: Path | None = None) -> None:
|
||||
"""Initialize token rules from configuration file.
|
||||
|
||||
Args:
|
||||
config_path: Optional override for config file location.
|
||||
"""
|
||||
self._config_path = config_path or self.CONFIG_PATH
|
||||
self._events: dict[str, TokenEvent] = {}
|
||||
self._gating: dict[str, int] = {}
|
||||
self._daily_limits: dict[str, TokenCategoryLimits] = {}
|
||||
self._audit: dict[str, Any] = {}
|
||||
self._version: str = "unknown"
|
||||
self._load_config()
|
||||
|
||||
def _load_config(self) -> None:
|
||||
"""Load configuration from YAML file."""
|
||||
# Graceful degradation if yaml not available or file missing
|
||||
try:
|
||||
import yaml
|
||||
except ImportError:
|
||||
# YAML not installed, use fallback defaults
|
||||
self._load_fallback_defaults()
|
||||
return
|
||||
|
||||
if not self._config_path.exists():
|
||||
self._load_fallback_defaults()
|
||||
return
|
||||
|
||||
try:
|
||||
config = yaml.safe_load(self._config_path.read_text())
|
||||
if not config:
|
||||
self._load_fallback_defaults()
|
||||
return
|
||||
|
||||
self._version = config.get("version", "unknown")
|
||||
self._parse_events(config.get("events", {}))
|
||||
self._parse_gating(config.get("gating_thresholds", {}))
|
||||
self._parse_daily_limits(config.get("daily_limits", {}))
|
||||
self._audit = config.get("audit", {})
|
||||
|
||||
except Exception:
|
||||
# Any error loading config, use fallbacks
|
||||
self._load_fallback_defaults()
|
||||
|
||||
def _load_fallback_defaults(self) -> None:
|
||||
"""Load minimal fallback defaults if config unavailable."""
|
||||
self._version = "fallback"
|
||||
self._events = {
|
||||
"pr_merged": TokenEvent(
|
||||
name="pr_merged",
|
||||
description="Successfully merged a pull request",
|
||||
reward=10,
|
||||
penalty=0,
|
||||
category="merge",
|
||||
gate_threshold=0,
|
||||
),
|
||||
"test_fixed": TokenEvent(
|
||||
name="test_fixed",
|
||||
description="Fixed a failing test",
|
||||
reward=8,
|
||||
penalty=0,
|
||||
category="test",
|
||||
),
|
||||
"automation_failure": TokenEvent(
|
||||
name="automation_failure",
|
||||
description="Automation failed",
|
||||
reward=0,
|
||||
penalty=-2,
|
||||
category="operation",
|
||||
),
|
||||
}
|
||||
self._gating = {"pr_merge": 0}
|
||||
self._daily_limits = {}
|
||||
self._audit = {"log_all_transactions": True}
|
||||
|
||||
def _parse_events(self, events_config: dict) -> None:
|
||||
"""Parse event configurations from YAML."""
|
||||
for name, config in events_config.items():
|
||||
if not isinstance(config, dict):
|
||||
continue
|
||||
|
||||
self._events[name] = TokenEvent(
|
||||
name=name,
|
||||
description=config.get("description", ""),
|
||||
reward=config.get("reward", 0),
|
||||
penalty=config.get("penalty", 0),
|
||||
category=config.get("category", "unknown"),
|
||||
gate_threshold=config.get("gate_threshold"),
|
||||
)
|
||||
|
||||
def _parse_gating(self, gating_config: dict) -> None:
|
||||
"""Parse gating thresholds from YAML."""
|
||||
for name, threshold in gating_config.items():
|
||||
if isinstance(threshold, int):
|
||||
self._gating[name] = threshold
|
||||
|
||||
def _parse_daily_limits(self, limits_config: dict) -> None:
|
||||
"""Parse daily limits from YAML."""
|
||||
for category, limits in limits_config.items():
|
||||
if isinstance(limits, dict):
|
||||
self._daily_limits[category] = TokenCategoryLimits(
|
||||
max_earn=limits.get("max_earn", 0),
|
||||
max_spend=limits.get("max_spend", 0),
|
||||
)
|
||||
|
||||
def get_delta(self, event_name: str) -> int:
|
||||
"""Get token delta for an event.
|
||||
|
||||
Args:
|
||||
event_name: Name of the event (e.g., "pr_merged", "test_fixed")
|
||||
|
||||
Returns:
|
||||
Net token delta (positive for reward, negative for penalty)
|
||||
"""
|
||||
event = self._events.get(event_name)
|
||||
if event:
|
||||
return event.delta
|
||||
return 0
|
||||
|
||||
def get_event(self, event_name: str) -> TokenEvent | None:
|
||||
"""Get full event configuration.
|
||||
|
||||
Args:
|
||||
event_name: Name of the event
|
||||
|
||||
Returns:
|
||||
TokenEvent object or None if not found
|
||||
"""
|
||||
return self._events.get(event_name)
|
||||
|
||||
def list_events(self, category: str | None = None) -> list[TokenEvent]:
|
||||
"""List all configured events.
|
||||
|
||||
Args:
|
||||
category: Optional category filter
|
||||
|
||||
Returns:
|
||||
List of TokenEvent objects
|
||||
"""
|
||||
events = list(self._events.values())
|
||||
if category:
|
||||
events = [e for e in events if e.category == category]
|
||||
return events
|
||||
|
||||
def check_gate(self, operation: str, current_tokens: int) -> bool:
|
||||
"""Check if agent meets token threshold for an operation.
|
||||
|
||||
Args:
|
||||
operation: Operation name (e.g., "pr_merge")
|
||||
current_tokens: Agent's current token balance
|
||||
|
||||
Returns:
|
||||
True if agent can perform the operation
|
||||
"""
|
||||
threshold = self._gating.get(operation)
|
||||
if threshold is None:
|
||||
return True # No gate defined, allow
|
||||
return current_tokens >= threshold
|
||||
|
||||
def get_gate_threshold(self, operation: str) -> int | None:
|
||||
"""Get the gating threshold for an operation.
|
||||
|
||||
Args:
|
||||
operation: Operation name
|
||||
|
||||
Returns:
|
||||
Threshold value or None if no gate defined
|
||||
"""
|
||||
return self._gating.get(operation)
|
||||
|
||||
def get_daily_limits(self, category: str) -> TokenCategoryLimits | None:
|
||||
"""Get daily limits for a category.
|
||||
|
||||
Args:
|
||||
category: Category name
|
||||
|
||||
Returns:
|
||||
TokenCategoryLimits or None if not defined
|
||||
"""
|
||||
return self._daily_limits.get(category)
|
||||
|
||||
def compute_transaction(
|
||||
self,
|
||||
event_name: str,
|
||||
current_tokens: int = 0,
|
||||
current_daily_earned: dict[str, int] | None = None,
|
||||
) -> dict[str, Any]:
|
||||
"""Compute a complete token transaction.
|
||||
|
||||
This is the main entry point for agents to use. It returns
|
||||
a complete transaction record with delta, gating check, and limits.
|
||||
|
||||
Args:
|
||||
event_name: Name of the event
|
||||
current_tokens: Agent's current token balance
|
||||
current_daily_earned: Dict of category -> tokens earned today
|
||||
|
||||
Returns:
|
||||
Transaction dict with:
|
||||
- event: Event name
|
||||
- delta: Token delta
|
||||
- allowed: Whether operation is allowed (gating)
|
||||
- new_balance: Projected new balance
|
||||
- limit_reached: Whether daily limit would be exceeded
|
||||
"""
|
||||
event = self._events.get(event_name)
|
||||
if not event:
|
||||
return {
|
||||
"event": event_name,
|
||||
"delta": 0,
|
||||
"allowed": False,
|
||||
"reason": "unknown_event",
|
||||
"new_balance": current_tokens,
|
||||
"limit_reached": False,
|
||||
}
|
||||
|
||||
delta = event.delta
|
||||
new_balance = current_tokens + delta
|
||||
|
||||
# Check gating (for penalties, we don't check gates)
|
||||
allowed = True
|
||||
gate_reason = None
|
||||
if delta > 0 and event.gate_threshold is not None: # Only check gates for positive operations with thresholds
|
||||
allowed = current_tokens >= event.gate_threshold
|
||||
if not allowed:
|
||||
gate_reason = f"requires {event.gate_threshold} tokens"
|
||||
|
||||
# Check daily limits
|
||||
limit_reached = False
|
||||
limit_reason = None
|
||||
if current_daily_earned and event.category in current_daily_earned:
|
||||
limits = self._daily_limits.get(event.category)
|
||||
if limits:
|
||||
current_earned = current_daily_earned.get(event.category, 0)
|
||||
if delta > 0 and current_earned + delta > limits.max_earn:
|
||||
limit_reached = True
|
||||
limit_reason = f"daily earn limit ({limits.max_earn}) reached"
|
||||
|
||||
result = {
|
||||
"event": event_name,
|
||||
"delta": delta,
|
||||
"category": event.category,
|
||||
"allowed": allowed and not limit_reached,
|
||||
"new_balance": new_balance,
|
||||
"limit_reached": limit_reached,
|
||||
}
|
||||
|
||||
if gate_reason:
|
||||
result["gate_reason"] = gate_reason
|
||||
if limit_reason:
|
||||
result["limit_reason"] = limit_reason
|
||||
|
||||
return result
|
||||
|
||||
def get_config_version(self) -> str:
|
||||
"""Get the loaded configuration version."""
|
||||
return self._version
|
||||
|
||||
def get_categories(self) -> list[str]:
|
||||
"""Get list of all configured categories."""
|
||||
categories = {e.category for e in self._events.values()}
|
||||
return sorted(categories)
|
||||
|
||||
def is_auditable(self) -> bool:
|
||||
"""Check if transactions should be logged for audit."""
|
||||
return self._audit.get("log_all_transactions", True)
|
||||
|
||||
|
||||
# Convenience functions for simple use cases
|
||||
|
||||
def get_token_delta(event_name: str) -> int:
|
||||
"""Get token delta for an event (convenience function).
|
||||
|
||||
Args:
|
||||
event_name: Name of the event
|
||||
|
||||
Returns:
|
||||
Token delta (positive for reward, negative for penalty)
|
||||
"""
|
||||
return TokenRules().get_delta(event_name)
|
||||
|
||||
|
||||
def check_operation_gate(operation: str, current_tokens: int) -> bool:
|
||||
"""Check if agent can perform operation (convenience function).
|
||||
|
||||
Args:
|
||||
operation: Operation name
|
||||
current_tokens: Agent's current token balance
|
||||
|
||||
Returns:
|
||||
True if operation is allowed
|
||||
"""
|
||||
return TokenRules().check_gate(operation, current_tokens)
|
||||
|
||||
|
||||
def compute_token_reward(
|
||||
event_name: str,
|
||||
current_tokens: int = 0,
|
||||
) -> dict[str, Any]:
|
||||
"""Compute token reward for an event (convenience function).
|
||||
|
||||
Args:
|
||||
event_name: Name of the event
|
||||
current_tokens: Agent's current token balance
|
||||
|
||||
Returns:
|
||||
Transaction dict with delta, allowed status, new balance
|
||||
"""
|
||||
return TokenRules().compute_transaction(event_name, current_tokens)
|
||||
|
||||
|
||||
def list_token_events(category: str | None = None) -> list[dict[str, Any]]:
|
||||
"""List all token events (convenience function).
|
||||
|
||||
Args:
|
||||
category: Optional category filter
|
||||
|
||||
Returns:
|
||||
List of event dicts with name, description, delta, category
|
||||
"""
|
||||
rules = TokenRules()
|
||||
events = rules.list_events(category)
|
||||
return [
|
||||
{
|
||||
"name": e.name,
|
||||
"description": e.description,
|
||||
"delta": e.delta,
|
||||
"category": e.category,
|
||||
"gate_threshold": e.gate_threshold,
|
||||
}
|
||||
for e in events
|
||||
]
|
||||
Reference in New Issue
Block a user