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Author SHA1 Message Date
HAL9000 62c11edb4a fix(resource): add create_sandbox/project_access stubs and fix ambiguous step
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- Add create_sandbox() override to _ContainerBaseHandler raising
  NotImplementedError, matching CloudResourceHandler pattern (issue #836)
- Add project_access() override to _ContainerBaseHandler raising
  NotImplementedError, consistent with all other stub methods
- Rename @then("the import should succeed without errors") step to
  @then("the container handler module import should succeed without errors")
  to resolve AmbiguousStep collision with tdd_a2a_sdk_dependency_steps.py
- Update container_handler.feature to use renamed step
- Apply ruff format to container.py

ISSUES CLOSED: #2907
2026-05-30 13:08:44 -04:00
freemo 4288fcb9c1 fix(resource): implement missing container handler module for container infrastructure resource types
Implements the missing cleveragents.resource.handlers.container module
that is referenced by all seven container infrastructure resource types
registered in _resource_registry_container.py.

Previously, any attempt to use container-runtime, container-image,
container-mount, container-exec-env, container-port, container-volume,
or container-network resources raised HandlerResolutionError with
ModuleNotFoundError at runtime.

Changes:
- Add src/cleveragents/resource/handlers/container.py with five handler
  classes: ContainerRuntimeHandler, ContainerImageHandler,
  ContainerChildHandler (shared by mount/exec-env/port), ContainerVolumeHandler,
  ContainerNetworkHandler
- All handlers extend _ContainerBaseHandler which extends BaseResourceHandler
  and satisfies the ResourceHandler protocol
- resolve() raises NotImplementedError (container sandbox provisioning
  is pending, mirrors CloudResourceHandler pattern)
- content_hash() returns identity hash based on resource type + location
- All CRUD and lifecycle stubs raise NotImplementedError
- Update handlers/__init__.py to export the five new handler classes
- Add features/container_handler.feature with 72 BDD scenarios covering
  module importability, protocol conformance, handler resolution, type
  labels, CRUD stubs, lifecycle stubs, and registry integration
- Add features/steps/container_handler_steps.py with step definitions

All nox sessions pass: lint, typecheck, unit_tests (72/72 scenarios).

ISSUES CLOSED: #2907
2026-05-30 13:08:44 -04:00
HAL9000 9f440625ab Merge pull request 'fix(cli): fix format_output() to use rich and color renderers instead of JSON fallback' (#3227) from fix/format-output-rich-color-renderers into master
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2026-05-30 17:06:22 +00:00
HAL9000 d0fd9319d3 fix(tests): add BDD scenarios for rich/color formats with list data to restore coverage
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Cover the list branches in _format_rich() and _format_color() that were
left untested, causing the coverage gate to drop below the 97% threshold.
Add two new @when steps (list+rich, list+color), two @then steps for list
panel assertions, and two new feature scenarios exercising those paths.

ISSUES CLOSED: #2921
2026-05-30 11:45:16 -04:00
HAL9000 353451263e fix(tests): remove @tdd_expected_fail from format_output dict scenario
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Issue #4364 is now resolved by the envelope pattern introduced on master.
The scenario "Format output handles all format types for dict" passes
correctly — the TDD inversion was flipping it to a failure.

ISSUES CLOSED: #4364
2026-05-30 11:09:06 -04:00
HAL9000 a726b96d26 fix(cli): address reviewer feedback on format_output rich/color fix
- Move function-level imports to module top level in formatting.py:
  * Remove redundant OutputSession import inside _format_rich()
  * Remove redundant OutputSession import inside _format_color()
  * Move `import sys` from inside format_output() to module level

- Fix robot/helper_cli_formats.py:
  * Remove redundant `import json as _json` inside format_output_rich();
    use the top-level `json` module directly
  * Replace non-deterministic datetime.now() calls in _mock_action() and
    _mock_plan() with fixed datetime(2025, 1, 15, 10, 0, 0)

- Split cli_output_formats_steps.py to comply with 500-line limit:
  * Extract all @then step definitions into new file
    features/steps/cli_output_format_validation_steps.py
  * Behave auto-discovers steps from any .py file in steps/

ISSUES CLOSED: #2921
2026-05-30 11:09:06 -04:00
freemo 6e47abbd63 fix(cli): fix format_output() to use rich and color renderers instead of JSON fallback
The format_output() function in src/cleveragents/cli/formatting.py had two
routing bugs that caused incorrect output for the 'rich' and 'color' formats:

1. The 'rich' format had no explicit dispatch branch and silently fell through
   to the final JSON fallback, returning raw JSON instead of styled terminal
   output. Since 'rich' is the default CLI format (per ADR-021), this meant
   all commands using format_output() (version, info, diagnostics) produced
   JSON by default.

2. The 'color' format was incorrectly routed to _format_plain() instead of a
   color-aware renderer, producing plain text with no ANSI color codes.

Fix:
- Added _format_rich() helper that delegates to RichMaterializer via
  OutputSession, producing ANSI-styled terminal output consistent with
  format_output_session().
- Added _format_color() helper that delegates to ColorMaterializer via
  OutputSession, producing ANSI-colored terminal output.
- Added explicit OutputFormat.RICH dispatch in format_output() routing.
- Fixed OutputFormat.COLOR dispatch to use _format_color() instead of
  _format_plain().

Tests:
- Updated existing BDD scenario that was validating the buggy behavior
  (expected JSON for rich format) to now assert correct styled output.
- Added new BDD scenarios: 'rich format produces styled terminal output not
  JSON' and 'color format produces ANSI-colored output not plain text'.
- Added Robot Framework integration tests in cli_formats.robot and
  helper_cli_formats.py verifying end-to-end styled output for both formats.

All nox sessions pass: lint, typecheck, unit_tests, security_scan.

ISSUES CLOSED: #2921
2026-05-30 11:09:06 -04:00
HAL9000 9b70b11992 Merge pull request 'fix(database): replace type: ignore with assert for type narrowing in LegacyDataMigrator' (#3241) from fix/type-safety-legacy-migrator-type-ignore into master
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2026-05-30 15:02:32 +00:00
HAL9000 1970fae07b style: apply ruff format to legacy_migrator_steps.py
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Fix formatting to satisfy ruff format --check CI gate.
2026-05-30 10:38:39 -04:00
freemo 1d18aa80ca fix(database): replace type: ignore with assert for type narrowing in LegacyDataMigrator
Remove the unsafe `# type: ignore` suppression on line 111 of
`legacy_migrator.py` and replace it with an explicit
`assert existing_plan.id is not None` statement. This provides
proper type narrowing to the type checker while preserving the
logical correctness guaranteed by the preceding `if existing_plan:`
guard.

Also adds a new BDD scenario in `legacy_migrator_coverage.feature`
that explicitly exercises the code path where an existing plan with
a non-None id is found during migration, verifying the assert-based
type narrowing works correctly end-to-end.

ISSUES CLOSED: #3051
2026-05-30 10:38:39 -04:00
HAL9000 1b6dc2796d Merge pull request 'docs: update specification — fix SSE streaming event example method name' (#2557) from spec/update-sse-streaming-event-example into master
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2026-05-30 14:01:26 +00:00
HAL9000 fc0366d05a fix(docs): correct SDK link from a2aprojects to a2aproject
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The SDK URL was incorrectly changed to a2aprojects/a2a-python (404 broken link).
Revert to the correct a2aproject/a2a-python which is the official A2A Python SDK org.

Fixes blocker from PR review.
2026-05-30 09:33:19 -04:00
freemo 9b64297eff docs(a2a): fix SSE streaming event example method name
Corrects the Example Streaming Event in docs/reference/a2a.md to use
the correct JSON-RPC 2.0 notification method name `task/statusUpdate`
instead of the incorrect `message/stream`.

`message/stream` is the client→server REQUEST method that initiates
streaming. The actual SSE data payloads are JSON-RPC 2.0 notifications
(no `id` field) with method names `task/statusUpdate` or
`task/artifactUpdate`, as implemented in SseEventFormatter.

Closes #2519
2026-05-30 09:33:19 -04:00
HAL9000 3831632391 Merge pull request 'fix(acms): align SkeletonCompressorService.compress() with SkeletonCompressor protocol' (#3057) from fix/acms-skeleton-compressor-signature into master
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2026-05-30 13:08:55 +00:00
freemo f2232eec09 fix(acms): align SkeletonCompressorService.compress() with SkeletonCompressor protocol
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- Updated SkeletonCompressorService.compress() to accept
  (fragments: tuple[ContextFragment, ...], skeleton_budget: int)
  -> tuple[ContextFragment, ...], matching the SkeletonCompressor protocol
- Removed skeleton_ratio and CompressionResult from the public API
- Added @runtime_checkable to SkeletonCompressor protocol in acms_service.py
- Added structural subtype assertion at module level to prevent future
  protocol drift
- Rewrote all Behave feature scenarios and step definitions to use
  skeleton_budget
- Updated benchmarks and robot helpers to use absolute token budgets
- Removed CompressionResult export from services __init__.py and
  vulture_whitelist.py
- The depth_breadth_projection.py call site already correctly computed
  and passed skeleton_budget

ISSUES CLOSED: #2925
2026-05-30 08:29:22 -04:00
HAL9000 08eb69b71b Merge pull request 'fix(cli): handle skill: wrapper key in agents skill add YAML config #1472' (#1506) from fix/skill-add-yaml-wrapper-key into master
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2026-05-30 08:32:21 +00:00
controller-ci-rerun c008804f05 chore: re-trigger CI [controller]
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2026-05-30 04:04:21 -04:00
HAL9000 e21fc197d3 fix(skills): fix robot integration test YAML creation for skill: wrapper key test 2026-05-30 04:04:21 -04:00
HAL9000 387b640249 fix(skills): fix CI gate failures blocking PR #1506 merge
Fix pre-existing lint, typecheck, and security failures that were
blocking the PR from passing CI:

- Fix E501 line-too-long in session_service.py (remove erroneous
  "sha256:" string prefix from dict comprehension on line 268)
- Fix W293 trailing whitespace in tool.py line 249
- Fix typecheck error in session_service.py: data.get("checksum")
  can return None, remove invalid string concatenation
- Fix typecheck error in schema.py: add explicit dict[str, Any]
  type annotation for wrapper variable to resolve str|None issue
- Fix vulture false positive: add "destination" Protocol parameter
  to vulture_whitelist.py
- Fix @tdd_issue/@tdd_issue_1472 tag placement in skill_schema.feature
  (remove blank line between tags and scenario)
- Add @tdd_issue/@tdd_issue_1472 tags to all new wrapper key scenarios
- Add Robot integration test for spec-compliant skill: wrapper YAML
2026-05-30 04:04:21 -04:00
HAL9000 cce6cfb119 fix(skill): handle skill: wrapper key in agents skill add YAML config
Implement skill: wrapper key unwrapping in SkillConfigSchema.from_yaml()
to support the spec-required YAML format with cleveragents: metadata header.

- Strip cleveragents: metadata block from raw YAML before validation
- Unwrap skill: wrapper key if present, with descriptive errors for invalid values
- Maintain backward compatibility with flat YAML format (no wrapper)
- Add Behave scenarios tagged @tdd_issue and @tdd_issue_1472 covering:
  * Spec-compliant YAML with skill: wrapper key
  * Spec-compliant YAML with cleveragents: header
  * skill: with None, string, and list values (error cases)
  * Backward compatibility with flat YAML
  * cleveragents: header without skill: wrapper

Closes #1472
2026-05-30 04:04:21 -04:00
HAL9000 20f4c90d9c Merge pull request 'fix(cli): add Read-Only and Writes columns to tool list output #1476' (#1509) from fix/1476-tool-list-cols into master
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2026-05-30 08:01:15 +00:00
HAL9000 b65f0db8d0 fix(cli): add Read-Only and Writes columns to tool list output
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- Apply ruff format to tool.py (flatten single-line namespaces.add call)
- Add Behave BDD tests verifying 5-column table, capability rendering
  (checkmark/dash), and Summary panel presence
- Add CHANGELOG.md entry

ISSUES CLOSED: #1476
2026-05-30 03:33:08 -04:00
HAL9000 e6f31e6391 fix(cli): align tool list rich output with spec (Read-Only/Writes columns and Summary panel)
Replaced the broken PR implementation with a complete spec-compliant fix:

- Removed Description and Timeout columns (not in spec)
- Reordered columns to spec order: Name, Type, Source, Read-Only, Writes
- Fixed column/row count mismatch: add_row now passes exactly 5 values
- Added capability-based Read-Only/Writes computation (read_only/writes fields)
- Renders checkmark (tick) or em dash based on capability metadata
- Added Summary panel with Total, Tools, Validations, Read-Only, Writes, Namespaces counts
- Added OK status message listing tool count

ISSUES CLOSED: #1476
2026-05-30 03:33:08 -04:00
freemo a656c5787d fix(v3.7.0): resolve issue #1476 - tool list missing columns 2026-05-30 03:33:08 -04:00
HAL9000 94b490a3c7 Merge pull request 'fix(tui): PermissionsScreen diff mode cycle uses split/auto per spec #1449' (#1480) from bugfix/permissions-diff-mode-cycle into master
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2026-05-30 06:56:18 +00:00
32 changed files with 2047 additions and 533 deletions
+8
View File
@@ -6,6 +6,14 @@ Changed `wf10_batch.robot` to be less likely to create files, and
`plan_generation_graph.robot` to give more test answers.
## [Unreleased]
- **fix(cli): add Read-Only and Writes columns to tool list output** (#1476): Rewrote
`list_tools()` in `src/cleveragents/cli/commands/tool.py` to render exactly the 5
spec-required columns (Name, Type, Source, Read-Only, Writes), removed the legacy
Description and Timeout columns, computes read-only/writes status from `capability`
metadata (rendering `✓`/`—`), and added a Summary panel showing Total, Tools,
Validations, Read-Only, Writes, and Namespaces counts. Adds Behave BDD tests in
`features/tool_cli.feature` verifying correct column names, capability rendering, and
Summary panel presence.
- **Fix actor compiler to read LSP bindings from typed `lsp_binding` field** (#1488): Fixed
`_extract_lsp_bindings()` in `actor/compiler.py` to read from `node.lsp_binding` (the typed
`NodeLspBinding` Pydantic field on `NodeDefinition`) as the primary path, with
+36 -31
View File
@@ -1,8 +1,13 @@
"""ASV benchmarks for skeleton compressor overhead.
Measures the time to compress context fragments at various ratios
Measures the time to compress context fragments at various budgets
and fragment counts. The benchmark covers the hot path that runs
during subplan context inheritance.
The caller is responsible for converting a skeleton_ratio to an
absolute skeleton_budget before invoking compress(). These benchmarks
use representative absolute token budgets derived from typical ratios
applied to the fragment set sizes.
"""
from __future__ import annotations
@@ -33,9 +38,9 @@ from cleveragents.domain.models.core.context_fragment import ( # noqa: E402
_SKEL_PROV = FragmentProvenance(resource_uri="bench-skeleton://default")
def _build_fragments(count: int, tokens_each: int = 100) -> list[ContextFragment]:
def _build_fragments(count: int, tokens_each: int = 100) -> tuple[ContextFragment, ...]:
"""Generate *count* fragments for benchmarking."""
return [
return tuple(
ContextFragment(
fragment_id=f"bench-{i:05d}",
uko_node=f"bench-skeleton://file/{i}",
@@ -48,60 +53,60 @@ def _build_fragments(count: int, tokens_each: int = 100) -> list[ContextFragment
),
)
for i in range(count)
]
)
class SkeletonCompressorSmallSuite:
"""Benchmark compression of a small fragment set (10 fragments)."""
"""Benchmark compression of a small fragment set (10 fragments, 1000 tokens)."""
def setup(self) -> None:
self._svc = SkeletonCompressorService()
self._fragments = _build_fragments(10)
self._fragments = _build_fragments(10) # 1000 total tokens
def time_compress_ratio_0(self) -> None:
"""No compression (pass-through)."""
self._svc.compress(self._fragments, skeleton_ratio=0.0)
def time_compress_budget_full(self) -> None:
"""No compression (pass-through) — budget equals total tokens."""
self._svc.compress(self._fragments, 1000)
def time_compress_ratio_03(self) -> None:
"""Default ratio compression."""
self._svc.compress(self._fragments, skeleton_ratio=0.3)
def time_compress_budget_70pct(self) -> None:
"""Default-ratio-equivalent compression (budget = 70% of total)."""
self._svc.compress(self._fragments, 700)
def time_compress_ratio_05(self) -> None:
"""Moderate compression."""
self._svc.compress(self._fragments, skeleton_ratio=0.5)
def time_compress_budget_50pct(self) -> None:
"""Moderate compression (budget = 50% of total)."""
self._svc.compress(self._fragments, 500)
def time_compress_ratio_1(self) -> None:
"""Maximum compression."""
self._svc.compress(self._fragments, skeleton_ratio=1.0)
def time_compress_budget_zero(self) -> None:
"""Maximum compression — empty result."""
self._svc.compress(self._fragments, 0)
class SkeletonCompressorMediumSuite:
"""Benchmark compression of a medium fragment set (100 fragments)."""
"""Benchmark compression of a medium fragment set (100 fragments, 10000 tokens)."""
def setup(self) -> None:
self._svc = SkeletonCompressorService()
self._fragments = _build_fragments(100)
self._fragments = _build_fragments(100) # 10000 total tokens
def time_compress_ratio_03(self) -> None:
"""Default ratio compression."""
self._svc.compress(self._fragments, skeleton_ratio=0.3)
def time_compress_budget_70pct(self) -> None:
"""Default-ratio-equivalent compression."""
self._svc.compress(self._fragments, 7000)
def time_compress_ratio_05(self) -> None:
def time_compress_budget_50pct(self) -> None:
"""Moderate compression."""
self._svc.compress(self._fragments, skeleton_ratio=0.5)
self._svc.compress(self._fragments, 5000)
class SkeletonCompressorLargeSuite:
"""Benchmark compression of a large fragment set (1000 fragments)."""
"""Benchmark compression of a large fragment set (1000 fragments, 100000 tokens)."""
def setup(self) -> None:
self._svc = SkeletonCompressorService()
self._fragments = _build_fragments(1000)
self._fragments = _build_fragments(1000) # 100000 total tokens
def time_compress_ratio_05(self) -> None:
def time_compress_budget_50pct(self) -> None:
"""Moderate compression over 1000 fragments."""
self._svc.compress(self._fragments, skeleton_ratio=0.5)
self._svc.compress(self._fragments, 50000)
def time_compress_ratio_08(self) -> None:
def time_compress_budget_20pct(self) -> None:
"""Heavy compression over 1000 fragments."""
self._svc.compress(self._fragments, skeleton_ratio=0.8)
self._svc.compress(self._fragments, 20000)
+54 -33
View File
@@ -88,8 +88,8 @@ via the `getExtendedAgentCard` operation.
## Transport Modes
| Mode | Transport | Class / SDK Component | Behaviour |
|--------|------------------------|------------------------------------|--------------------------------------------------------|
| Mode | Transport | Class / SDK Component | Behaviour |
|--------|------------------------|------------------------------------|--------------------------------------------------------------------|
| Local | A2A JSON-RPC over stdio | `A2aLocalFacade` + JSON-RPC stdio | Agent as subprocess; extensions resolved in-process |
| Server | A2A JSON-RPC over HTTP | A2A SDK HTTP transport | JSON-RPC 2.0 to CleverAgents server |
@@ -165,7 +165,7 @@ Pattern applies to all entity types (`actor`, `skill`, `tool`, `validation`,
### Context Operations
| Method | Service Method | Required Params |
|--------|---------------|-----------------|
|--------|----------------|-----------------|
| `_cleveragents/context/show` | `ContextService.show()` | `project_name` |
| `_cleveragents/context/inspect` | `ContextService.inspect()` | `project_name` |
| `_cleveragents/context/simulate` | `ContextService.simulate()` | `project_name`, simulation params |
@@ -174,7 +174,7 @@ Pattern applies to all entity types (`actor`, `skill`, `tool`, `validation`,
### Sync Operations
| Method | Service Method | Required Params |
|--------|---------------|-----------------|
|--------|----------------|-----------------|
| `_cleveragents/sync/pull` | `SyncService.pull()` | `namespace` |
| `_cleveragents/sync/push` | `SyncService.push()` | `namespace`, `entities` |
| `_cleveragents/sync/status` | `SyncService.status()` | `namespace` (optional) |
@@ -182,7 +182,7 @@ Pattern applies to all entity types (`actor`, `skill`, `tool`, `validation`,
### Namespace Operations
| Method | Service Method | Required Params |
|--------|---------------|-----------------|
|--------|----------------|-----------------|
| `_cleveragents/namespace/list` | `NamespaceService.list()` | -- |
| `_cleveragents/namespace/show` | `NamespaceService.show()` | `namespace` |
| `_cleveragents/namespace/members` | `NamespaceService.members()` | `namespace` |
@@ -198,13 +198,20 @@ Pattern applies to all entity types (`actor`, `skill`, `tool`, `validation`,
## Streaming Events
A2A streaming uses SSE via the `message/stream` operation, delivering typed
events as the task progresses:
A2A streaming uses SSE via the `message/stream` operation (client → server
request), delivering typed events as the task progresses. The SSE data
payloads are JSON-RPC 2.0 **notifications** (no `id` field):
| Event Type | Emitted When |
|-----------|-------------|
| `TaskStatusUpdateEvent` | Task state changes (submitted -> working -> completed, etc.) |
| `TaskArtifactUpdateEvent` | Agent produces output (response chunks, plan entries, tool results) |
| Event Type | JSON-RPC Method | Emitted When |
|------------|-----------------|--------------|
| `TaskStatusUpdateEvent` | `task/statusUpdate` | Task state changes (submitted -> working -> completed, etc.) |
| `TaskArtifactUpdateEvent` | `task/artifactUpdate` | Agent produces output (response chunks, plan entries, tool results) |
> **Note:** `message/stream` is the **request** method (client → server) that
> initiates streaming. The SSE data payloads use `task/statusUpdate` or
> `task/artifactUpdate` as the notification method name — not `message/stream`.
> Non-spec fields (`event_id`, `event_type`, `timestamp`) are carried in SSE
> envelope headers (`event:` and `id:` lines), not in the data payload.
### Task Lifecycle States
@@ -220,16 +227,30 @@ events as the task progresses:
### Example Streaming Event
SSE data payload for a task status update (JSON-RPC 2.0 notification):
```json
{
"jsonrpc": "2.0",
"method": "message/stream",
"method": "task/statusUpdate",
"params": {
"id": "task_01HXR...",
"status": { "state": "working" },
"artifacts": [{
"taskId": "task_01HXR...",
"status": { "state": "working" }
}
}
```
SSE data payload for an artifact update:
```json
{
"jsonrpc": "2.0",
"method": "task/artifactUpdate",
"params": {
"taskId": "task_01HXR...",
"artifact": {
"parts": [{ "text": "I'll start by extracting..." }]
}]
}
}
}
```
@@ -277,9 +298,9 @@ response = facade.dispatch(A2aRequest(
### Constructor
| Parameter | Type | Default | Description |
|------------|----------------------------|---------|-------------------------------|
| `services` | `dict[str, Any] \| None` | `None` | Named services for routing |
| Parameter | Type | Default | Description |
|------------|----------------------------------|---------|--------------------------------|
| `services` | `dict[str, Any] \| None` | `None` | Named services for routing |
### Methods
@@ -299,15 +320,15 @@ registered later with `register_service()`.
### Service Keys
| Key | Type | Wired Methods |
|------------------------------|-----------------------------|-------------------------------------|
| `session_service` | `SessionWorkflow` | Standard message operations |
| `plan_lifecycle_service` | `PlanLifecycleService` | `_cleveragents/plan/*` |
| `tool_registry` | `ToolRegistry` | `_cleveragents/registry/tool/*` |
| `resource_registry_service` | `ResourceRegistryService` | `_cleveragents/registry/resource/*` |
| `sync_service` | `SyncService` | `_cleveragents/sync/*` |
| `namespace_service` | `NamespaceService` | `_cleveragents/namespace/*` |
| `context_service` | `ContextService` | `_cleveragents/context/*` |
| Key | Type | Wired Methods |
|----------------------------------|----------------------------------|--------------------------------------------|
| `session_service` | `SessionWorkflow` | Standard message operations |
| `plan_lifecycle_service` | `PlanLifecycleService` | `_cleveragents/plan/*` |
| `tool_registry` | `ToolRegistry` | `_cleveragents/registry/tool/*` |
| `resource_registry_service` | `ResourceRegistryService` | `_cleveragents/registry/resource/*` |
| `sync_service` | `SyncService` | `_cleveragents/sync/*` |
| `namespace_service` | `NamespaceService` | `_cleveragents/namespace/*` |
| `context_service` | `ContextService` | `_cleveragents/context/*` |
---
@@ -402,8 +423,8 @@ CleverAgentsError
└── A2aOperationNotFoundError
```
| Exception | When Raised |
|-----------------------------|----------------------------------------------------|
| `A2aNotAvailableError` | Server-mode operation attempted without connection |
| `A2aVersionMismatchError` | Unsupported A2A version |
| `A2aOperationNotFoundError` | Unknown method dispatched |
| Exception | When Raised |
|------------------------------|--------------------------------------------------------------------|
| `A2aNotAvailableError` | Server-mode operation attempted without connection |
| `A2aVersionMismatchError` | Unsupported A2A version |
| `A2aOperationNotFoundError` | Unknown method dispatched |
+21 -2
View File
@@ -92,7 +92,6 @@ Feature: CLI output formats parity
Then json_keys and yaml_keys should match
# Direct formatting module tests
@tdd_issue @tdd_issue_4364 @tdd_expected_fail
Scenario: Format output handles all format types for dict
When I call format_output with a dict and format json
Then the format result should be valid JSON dict
@@ -102,13 +101,33 @@ Feature: CLI output formats parity
Then the format result should contain plain key-value pairs
When I call format_output with a dict and format table
Then the format result should contain table output
# fix(cli): format_output() rich format must produce styled output, not JSON
Scenario: Format output rich format produces styled terminal output not JSON
When I call format_output with a dict and format rich
Then the format result should be valid JSON dict
Then the format result should contain rich styled output
And the format result should not be valid JSON
# fix(cli): format_output() color format must produce ANSI-colored output not plain text
Scenario: Format output color format produces ANSI-colored output not plain text
When I call format_output with a dict and format color
Then the format result should contain color styled output
And the format result should not be plain text only
Scenario: Format output handles list data
When I call format_output with a list and format plain
Then the format result should contain separator lines
Scenario: Format output rich format handles list data
When I call format_output with a list and format rich
Then the format result should contain rich styled list output
And the format result should not be valid JSON
Scenario: Format output color format handles list data
When I call format_output with a list and format color
Then the format result should contain color styled list output
And the format result should not be plain text only
Scenario: Serialize value handles enums and nested dicts
When I call serialize_value with enum and nested data
Then the serialized result should have string enum values
+277
View File
@@ -0,0 +1,277 @@
@container-handler
Feature: Container infrastructure resource handler module
Verifies that the container handler module exists and implements all
five handler classes referenced in _resource_registry_container.py:
ContainerRuntimeHandler, ContainerImageHandler, ContainerChildHandler,
ContainerVolumeHandler, ContainerNetworkHandler.
All handlers must conform to the ResourceHandler protocol and be
importable from cleveragents.resource.handlers.container.
# Module importability
Scenario: Container handler module is importable
When I import the container handler module
Then the container handler module import should succeed without errors
Scenario Outline: Handler class is importable from container module
When I import "<class_name>" from the container handler module
Then the class should be importable
Examples:
| class_name |
| ContainerRuntimeHandler |
| ContainerImageHandler |
| ContainerChildHandler |
| ContainerVolumeHandler |
| ContainerNetworkHandler |
# ── Protocol conformance ─────────────────────────────────
Scenario Outline: Handler class conforms to ResourceHandler protocol
Given a "<class_name>" instance
Then the instance should satisfy the ResourceHandler protocol
Examples:
| class_name |
| ContainerRuntimeHandler |
| ContainerImageHandler |
| ContainerChildHandler |
| ContainerVolumeHandler |
| ContainerNetworkHandler |
# ── Handler resolution via resolver ─────────────────────
Scenario Outline: Handler resolves via resolve_handler for container types
When I resolve the handler "<handler_ref>"
Then the handler should resolve without HandlerResolutionError
Examples:
| handler_ref |
| cleveragents.resource.handlers.container:ContainerRuntimeHandler |
| cleveragents.resource.handlers.container:ContainerImageHandler |
| cleveragents.resource.handlers.container:ContainerChildHandler |
| cleveragents.resource.handlers.container:ContainerVolumeHandler |
| cleveragents.resource.handlers.container:ContainerNetworkHandler |
# ── ContainerRuntimeHandler ──────────────────────────────
Scenario: ContainerRuntimeHandler has correct type label
Given a "ContainerRuntimeHandler" instance
Then the handler type_label should be "container-runtime"
Scenario: ContainerRuntimeHandler resolve raises NotImplementedError
Given a "ContainerRuntimeHandler" instance
And a container resource of type "container-runtime" with location "/var/run/docker.sock"
When I call resolve on the container handler
Then a container handler NotImplementedError should be raised
Scenario: ContainerRuntimeHandler read raises NotImplementedError
Given a "ContainerRuntimeHandler" instance
And a container resource of type "container-runtime" with location "/var/run/docker.sock"
When I call read on the container handler
Then a container handler NotImplementedError should be raised
Scenario: ContainerRuntimeHandler content_hash returns EMPTY_CONTENT_HASH for no location
Given a "ContainerRuntimeHandler" instance
And a container resource of type "container-runtime" with no location
When I call content_hash on the container handler
Then the content_hash result should be the EMPTY_CONTENT_HASH sentinel
Scenario: ContainerRuntimeHandler content_hash returns identity hash for location
Given a "ContainerRuntimeHandler" instance
And a container resource of type "container-runtime" with location "/var/run/docker.sock"
When I call content_hash on the container handler
Then the content_hash result should be a non-empty hex string
# ── ContainerImageHandler ────────────────────────────────
Scenario: ContainerImageHandler has correct type label
Given a "ContainerImageHandler" instance
Then the handler type_label should be "container-image"
Scenario: ContainerImageHandler resolve raises NotImplementedError
Given a "ContainerImageHandler" instance
And a container resource of type "container-image" with location "ubuntu:22.04"
When I call resolve on the container handler
Then a container handler NotImplementedError should be raised
Scenario: ContainerImageHandler content_hash returns identity hash for image ref
Given a "ContainerImageHandler" instance
And a container resource of type "container-image" with location "ubuntu:22.04"
When I call content_hash on the container handler
Then the content_hash result should be a non-empty hex string
# ── ContainerChildHandler ────────────────────────────────
Scenario: ContainerChildHandler has correct type label
Given a "ContainerChildHandler" instance
Then the handler type_label should be "container-child"
Scenario: ContainerChildHandler resolve raises NotImplementedError
Given a "ContainerChildHandler" instance
And a container resource of type "container-mount" with location "/mnt/data"
When I call resolve on the container handler
Then a container handler NotImplementedError should be raised
Scenario: ContainerChildHandler read raises NotImplementedError
Given a "ContainerChildHandler" instance
And a container resource of type "container-mount" with location "/mnt/data"
When I call read on the container handler
Then a container handler NotImplementedError should be raised
# ── ContainerVolumeHandler ───────────────────────────────
Scenario: ContainerVolumeHandler has correct type label
Given a "ContainerVolumeHandler" instance
Then the handler type_label should be "container-volume"
Scenario: ContainerVolumeHandler resolve raises NotImplementedError
Given a "ContainerVolumeHandler" instance
And a container resource of type "container-volume" with location "my-volume"
When I call resolve on the container handler
Then a container handler NotImplementedError should be raised
Scenario: ContainerVolumeHandler content_hash returns identity hash for volume name
Given a "ContainerVolumeHandler" instance
And a container resource of type "container-volume" with location "my-volume"
When I call content_hash on the container handler
Then the content_hash result should be a non-empty hex string
# ── ContainerNetworkHandler ──────────────────────────────
Scenario: ContainerNetworkHandler has correct type label
Given a "ContainerNetworkHandler" instance
Then the handler type_label should be "container-network"
Scenario: ContainerNetworkHandler resolve raises NotImplementedError
Given a "ContainerNetworkHandler" instance
And a container resource of type "container-network" with location "bridge"
When I call resolve on the container handler
Then a container handler NotImplementedError should be raised
Scenario: ContainerNetworkHandler content_hash returns identity hash for network name
Given a "ContainerNetworkHandler" instance
And a container resource of type "container-network" with location "bridge"
When I call content_hash on the container handler
Then the content_hash result should be a non-empty hex string
# ── CRUD stubs ───────────────────────────────────────────
Scenario Outline: Handler write raises NotImplementedError
Given a "<class_name>" instance
And a container resource of type "container-runtime" with location "/var/run/docker.sock"
When I call write on the container handler with data b"test"
Then a container handler NotImplementedError should be raised
Examples:
| class_name |
| ContainerRuntimeHandler |
| ContainerImageHandler |
| ContainerChildHandler |
| ContainerVolumeHandler |
| ContainerNetworkHandler |
Scenario Outline: Handler delete raises NotImplementedError
Given a "<class_name>" instance
And a container resource of type "container-runtime" with location "/var/run/docker.sock"
When I call delete on the container handler
Then a container handler NotImplementedError should be raised
Examples:
| class_name |
| ContainerRuntimeHandler |
| ContainerImageHandler |
| ContainerChildHandler |
| ContainerVolumeHandler |
| ContainerNetworkHandler |
Scenario Outline: Handler list_children raises NotImplementedError
Given a "<class_name>" instance
And a container resource of type "container-runtime" with location "/var/run/docker.sock"
When I call list_children on the container handler
Then a container handler NotImplementedError should be raised
Examples:
| class_name |
| ContainerRuntimeHandler |
| ContainerImageHandler |
| ContainerChildHandler |
| ContainerVolumeHandler |
| ContainerNetworkHandler |
Scenario Outline: Handler diff raises NotImplementedError
Given a "<class_name>" instance
And a container resource of type "container-runtime" with location "/var/run/docker.sock"
When I call diff on the container handler with other_location "/other"
Then a container handler NotImplementedError should be raised
Examples:
| class_name |
| ContainerRuntimeHandler |
| ContainerImageHandler |
| ContainerChildHandler |
| ContainerVolumeHandler |
| ContainerNetworkHandler |
Scenario Outline: Handler discover_children raises NotImplementedError
Given a "<class_name>" instance
And a container resource of type "container-runtime" with location "/var/run/docker.sock"
When I call discover_children on the container handler
Then a container handler NotImplementedError should be raised
Examples:
| class_name |
| ContainerRuntimeHandler |
| ContainerImageHandler |
| ContainerChildHandler |
| ContainerVolumeHandler |
| ContainerNetworkHandler |
# ── Lifecycle stubs ──────────────────────────────────────
Scenario Outline: Handler create_checkpoint raises NotImplementedError
Given a "<class_name>" instance
And a container resource of type "container-runtime" with location "/var/run/docker.sock"
When I call create_checkpoint on the container handler
Then a container handler NotImplementedError should be raised
Examples:
| class_name |
| ContainerRuntimeHandler |
| ContainerImageHandler |
| ContainerChildHandler |
| ContainerVolumeHandler |
| ContainerNetworkHandler |
Scenario Outline: Handler rollback_to raises NotImplementedError
Given a "<class_name>" instance
And a container resource of type "container-runtime" with location "/var/run/docker.sock"
When I call rollback_to on the container handler
Then a container handler NotImplementedError should be raised
Examples:
| class_name |
| ContainerRuntimeHandler |
| ContainerImageHandler |
| ContainerChildHandler |
| ContainerVolumeHandler |
| ContainerNetworkHandler |
# ── Registry integration ─────────────────────────────────
Scenario: container-runtime handler resolves without error after module creation
When I resolve the handler for resource type "container-runtime"
Then the handler should resolve without HandlerResolutionError
Scenario: container-image handler resolves without error after module creation
When I resolve the handler for resource type "container-image"
Then the handler should resolve without HandlerResolutionError
Scenario: container-volume handler resolves without error after module creation
When I resolve the handler for resource type "container-volume"
Then the handler should resolve without HandlerResolutionError
Scenario: container-network handler resolves without error after module creation
When I resolve the handler for resource type "container-network"
Then the handler should resolve without HandlerResolutionError
@@ -204,9 +204,17 @@ Feature: Legacy Data Migrator Coverage
Given I have a legacy project with read-only JSON files
When I run the legacy data migration
Then the migration should handle backup errors gracefully
Scenario: get_all_for_project is called only once for multiple plans
Given I have a legacy project with multiple plans to migrate efficiently
When I run the legacy data migration with query tracking
Then get_all_for_project should be called exactly once
And the migration should return true
And all plans should be migrated correctly
Scenario: Map existing plan IDs correctly during migration
Given I have a legacy project with plans already in database
When I run the legacy data migration
Then existing plans should not be duplicated
And the migration should return true
And the existing plan id should be mapped without type suppression
@@ -429,11 +429,6 @@ Feature: Services __init__ lazy-import coverage (round 3)
Then svcov3 the attribute "PersistentSessionService" should be resolved
# ---------- skeleton_compressor ----------
Scenario: svcov3 lazy-load CompressionResult
Given svcov3 a fresh services module
When svcov3 I access lazy attribute "CompressionResult"
Then svcov3 the attribute "CompressionResult" should be resolved
Scenario: svcov3 lazy-load SkeletonCompressorService
Given svcov3 a fresh services module
When svcov3 I access lazy attribute "SkeletonCompressorService"
+39 -67
View File
@@ -6,134 +6,100 @@ Feature: Skeleton compressor
Background:
Given a skeleton compressor service
# --- ratio validation -------------------------------------------------
# --- budget validation -------------------------------------------------
Scenario: Reject ratio below 0.0
Scenario: Reject negative skeleton_budget
Given context fragments with total tokens 1000
When I compress with skeleton_ratio -0.1
Then the compressor should raise a ValueError for invalid ratio
When I compress with skeleton_budget -1
Then the compressor should raise a ValueError for invalid budget
Scenario: Reject ratio above 1.0
Scenario: Accept budget 0 returns empty
Given context fragments with total tokens 1000
When I compress with skeleton_ratio 1.5
Then the compressor should raise a ValueError for invalid ratio
When I compress with skeleton_budget 0
Then the result should contain zero fragments
Scenario: Accept ratio 0.0
Scenario: Accept large budget returns all fragments
Given context fragments with total tokens 1000
When I compress with skeleton_ratio 0.0
When I compress with skeleton_budget 1000
Then all fragments should be returned unchanged
Scenario: Accept ratio 1.0
Scenario: Accept budget at boundary 500
Given context fragments with total tokens 1000
When I compress with skeleton_ratio 1.0
Then only the highest-relevance fragment should be returned
Scenario: Accept ratio at boundary 0.5
Given context fragments with total tokens 1000
When I compress with skeleton_ratio 0.5
When I compress with skeleton_budget 500
Then compressed tokens should be at most 500
# --- default handling -------------------------------------------------
Scenario: Default ratio applied when None
Given context fragments with total tokens 1000
When I compress with skeleton_ratio not specified
Then the metadata ratio should equal the default 0.15
# --- stable ordering --------------------------------------------------
Scenario: Fragments with equal relevance are ordered by id
Given three fragments with equal relevance 0.5
When I compress with skeleton_ratio 0.0
When I compress with skeleton_budget 10000
Then fragments should be ordered by fragment_id ascending
Scenario: Fragments are ordered by relevance descending
Given fragments with relevances 0.9, 0.3, and 0.7
When I compress with skeleton_ratio 0.0
When I compress with skeleton_budget 10000
Then the first fragment should have relevance 0.9
And the last fragment should have relevance 0.3
# --- metadata ----------------------------------------------------------
Scenario: Metadata records correct token counts
Given context fragments with total tokens 1000
When I compress with skeleton_ratio 0.5
Then metadata original_tokens should be 1000
And metadata compressed_tokens should be at most 500
Scenario: Metadata records source decision IDs
Given fragments with known decision IDs
When I compress with skeleton_ratio 0.0
Then metadata should contain all source decision IDs
Scenario: Metadata ratio matches input
Given context fragments with total tokens 1000
When I compress with skeleton_ratio 0.7
Then metadata ratio should be 0.7
# --- edge cases -------------------------------------------------------
Scenario: Empty fragment list compresses to empty
Given an empty fragment list
When I compress with skeleton_ratio 0.5
When I compress with skeleton_budget 500
Then the result should contain zero fragments
And metadata original_tokens should be 0
And metadata compressed_tokens should equal 0
Scenario: Single fragment at ratio 0.5
Scenario: Single fragment fits within budget
Given a single fragment with 100 tokens
When I compress with skeleton_ratio 0.5
When I compress with skeleton_budget 200
Then the result should contain one fragment
Scenario: Single fragment kept even when it exceeds budget
Given a single fragment with 100 tokens
When I compress with skeleton_budget 50
Then the result should contain one fragment
# --- argument validation ----------------------------------------------
Scenario: Reject non-list fragments argument
When I compress with a non-list fragments argument
Scenario: Reject non-tuple fragments argument
When I compress with a non-tuple fragments argument
Then the compressor should raise a TypeError
Scenario: Reject fragment with negative token count
Given a fragment with negative token count
When I compress with skeleton_ratio 0.5
When I compress with skeleton_budget 500
Then the compressor should raise a ValueError for invalid fragment
Scenario: Reject fragment with empty id
Given a fragment with empty fragment_id
When I compress with skeleton_ratio 0.5
When I compress with skeleton_budget 500
Then the compressor should raise a ValueError for invalid fragment
Scenario: Reject fragment with relevance out of range
Given a fragment with relevance 1.5
When I compress with skeleton_ratio 0.5
When I compress with skeleton_budget 500
Then the compressor should raise a ValueError for invalid fragment
Scenario: Reject non-ContextFragment item in list
When I compress with a list containing a non-fragment item
Scenario: Reject non-ContextFragment item in tuple
When I compress with a tuple containing a non-fragment item
Then the compressor should raise a TypeError for invalid item
Scenario: Reject non-numeric skeleton_ratio
Scenario: Reject non-integer skeleton_budget
Given context fragments with total tokens 1000
When I compress with a non-numeric skeleton_ratio
Then the compressor should raise a TypeError for invalid ratio type
When I compress with a non-integer skeleton_budget
Then the compressor should raise a TypeError for invalid budget type
Scenario: Reject skeleton metadata with compressed exceeding original
When I create skeleton metadata with compressed exceeding original
Then a validation error should be raised for compressed exceeding original
# --- compression summary (original vs compressed) ----------------------
Scenario: Compression summary stored in plan metadata
Given context fragments with total tokens 1000
When I compress with skeleton_ratio 0.6
Then compressed_tokens should be less than original_tokens
# --- skeleton_ratio integration with plan model ------------------------
# --- skeleton_budget integration with plan model -----------------------
Scenario: Plan model accepts skeleton_metadata
Given a skeleton metadata with ratio 0.5 and 1000 original tokens and 500 compressed
When I attach skeleton_metadata to a plan
Then the plan should expose skeleton metadata in cli dict
# --- _validate_fragments edge-cases (lines 153-163) --------------------
# --- _validate_fragments edge-cases ------------------------------------
Scenario: Reject fragment with negative token_count
Given a context fragment constructed with negative token_count
@@ -149,3 +115,9 @@ Feature: Skeleton compressor
Given a context fragment constructed with empty fragment_id
When I validate the invalid fragments
Then the compressor should raise a ValueError mentioning "fragment_id must be non-empty"
# --- structural subtype assertion -------------------------------------
Scenario: SkeletonCompressorService satisfies SkeletonCompressor protocol
When I check that SkeletonCompressorService satisfies the SkeletonCompressor protocol
Then the structural subtype assertion should pass
+60
View File
@@ -310,3 +310,63 @@ Feature: Skill YAML schema validation
And the skill config model_dump should contain key "mcp_servers"
And the skill config model_dump should contain key "agent_skill_folders"
# ────────────────────────────────────────────────────────────
# skill: wrapper key scenarios
# ────────────────────────────────────────────────────────────
@tdd_issue
@tdd_issue_1472
Scenario: Load spec-compliant YAML with skill: wrapper key
Given a spec-compliant skill YAML with skill: wrapper key
When I validate the skill schema
Then the skill schema validation should succeed
And the skill config name should be "local/wrapped-skill"
And the skill config should have 1 tools
@tdd_issue
@tdd_issue_1472
Scenario: Load spec-compliant YAML with cleveragents: header and skill: wrapper
Given a spec-compliant skill YAML with cleveragents: header and skill: wrapper
When I validate the skill schema
Then the skill schema validation should succeed
And the skill config name should be "local/wrapped-with-meta"
@tdd_issue
@tdd_issue_1472
Scenario: skill: wrapper key with None value raises ValueError
Given a skill YAML with skill: wrapper key with None value
When I validate the skill schema expecting failure
Then the skill schema validation should fail
And the skill schema error should mention "empty"
@tdd_issue
@tdd_issue_1472
Scenario: skill: wrapper key with non-dict value raises ValueError
Given a skill YAML with skill: wrapper key and string value
When I validate the skill schema expecting failure
Then the skill schema validation should fail
And the skill schema error should mention "mapping"
@tdd_issue
@tdd_issue_1472
Scenario: skill: wrapper key with list value raises ValueError
Given a skill YAML with skill: wrapper key and list value
When I validate the skill schema expecting failure
Then the skill schema validation should fail
And the skill schema error should mention "mapping"
@tdd_issue
@tdd_issue_1472
Scenario: Flat YAML without wrapper key still works (backward compatibility)
Given a skill YAML string with only the name field
When I validate the skill schema
Then the skill schema validation should succeed
And the skill config name should be "local/empty-skill"
@tdd_issue
@tdd_issue_1472
Scenario: cleveragents: header alone (flat format with metadata, no skill: wrapper)
Given a skill YAML with cleveragents: header and flat format
When I validate the skill schema
Then the skill schema validation should succeed
And the skill config name should be "local/flat-with-meta"
@@ -0,0 +1,151 @@
"""Step definitions for CLI output format validation (rich / color formats)."""
from __future__ import annotations
import json
import yaml
from behave import then
from behave.runner import Context
@then("the format result should be valid JSON dict")
def step_format_result_json_dict(context: Context) -> None:
parsed = json.loads(context.format_result)
assert isinstance(parsed, dict)
# Verify spec-required envelope fields are present
for field in ("command", "status", "exit_code", "data", "timing", "messages"):
assert field in parsed, f"Envelope field '{field}' missing from JSON result"
# Verify data field contains the original dict
assert isinstance(parsed["data"], dict)
@then("the format result should be valid YAML dict")
def step_format_result_yaml_dict(context: Context) -> None:
parsed = yaml.safe_load(context.format_result)
assert isinstance(parsed, dict)
# Verify spec-required envelope fields are present
for field in ("command", "status", "exit_code", "data", "timing", "messages"):
assert field in parsed, f"Envelope field '{field}' missing from YAML result"
# Verify data field contains the original dict
assert isinstance(parsed["data"], dict)
@then("the format result should contain plain key-value pairs")
def step_format_result_plain(context: Context) -> None:
assert "name: test" in context.format_result
assert "nested:" in context.format_result
assert "items:" in context.format_result
@then("the format result should contain table output")
def step_format_result_table(context: Context) -> None:
assert "name" in context.format_result
assert "count" in context.format_result
@then("the format result should contain separator lines")
def step_format_result_separator(context: Context) -> None:
assert "---" in context.format_result
@then("the serialized result should have string enum values")
def step_serialized_enum_values(context: Context) -> None:
assert context.serialized["state"] == "available"
assert isinstance(context.serialized["nested"], dict)
assert context.serialized["items"][0] == "archived"
assert isinstance(context.serialized["ts"], str)
@then("the format result should contain rich styled output")
def step_format_result_rich_styled(context: Context) -> None:
"""Assert that rich format produces styled output (ANSI codes or key-value lines).
The rich format must NOT produce raw JSON it must produce styled terminal
output via the RichMaterializer (ANSI escape codes or structured key-value
lines with panel headers).
"""
result = context.format_result
# Rich output must contain the data keys
assert "name" in result, f"Rich output missing 'name': {result!r}"
assert "count" in result, f"Rich output missing 'count': {result!r}"
# Rich output must contain styled panel header or ANSI codes
has_ansi = "\033[" in result or "\x1b[" in result
has_panel_header = "Output" in result
assert has_ansi or has_panel_header, (
f"Rich output has no ANSI codes or panel header — got: {result!r}"
)
@then("the format result should not be valid JSON")
def step_format_result_not_json(context: Context) -> None:
"""Assert that the format result is NOT valid JSON (i.e. not the JSON fallback)."""
try:
json.loads(context.format_result)
raise AssertionError(
f"format_output() with 'rich' returned valid JSON — "
f"expected styled terminal output, got: {context.format_result!r}"
)
except (json.JSONDecodeError, ValueError):
pass # Expected: rich output is not JSON
@then("the format result should contain color styled output")
def step_format_result_color_styled(context: Context) -> None:
"""Assert that color format produces ANSI-colored output (not plain text).
The color format must NOT produce plain text it must produce ANSI-colored
terminal output via the ColorMaterializer.
"""
result = context.format_result
# Color output must contain the data keys
assert "name" in result, f"Color output missing 'name': {result!r}"
assert "count" in result, f"Color output missing 'count': {result!r}"
# Color output must contain ANSI escape codes or styled panel header
has_ansi = "\033[" in result or "\x1b[" in result
has_panel_header = "Output" in result
assert has_ansi or has_panel_header, (
f"Color output has no ANSI codes or panel header — got: {result!r}"
)
@then("the format result should not be plain text only")
def step_format_result_not_plain_text(context: Context) -> None:
"""Assert that the color format result is NOT plain text (i.e. not the plain fallback).
Plain text would look like 'name: test\\ncount: 42' with no ANSI codes.
Color output must have ANSI escape codes or styled panel headers.
"""
result = context.format_result
has_ansi = "\033[" in result or "\x1b[" in result
has_panel_header = "Output" in result
# If it's purely plain text (no ANSI, no panel header), that's the bug
is_plain_only = not has_ansi and not has_panel_header
assert not is_plain_only, (
f"format_output() with 'color' returned plain text — "
f"expected ANSI-colored output, got: {result!r}"
)
@then("the format result should contain rich styled list output")
def step_format_result_rich_list(context: Context) -> None:
"""Assert rich format produces styled output for list data (panel per item)."""
result = context.format_result
assert "name" in result, f"Rich list output missing 'name': {result!r}"
has_ansi = "\033[" in result or "\x1b[" in result
has_item_panel = "Item 1" in result or "Item 2" in result
assert has_ansi or has_item_panel, (
f"Rich list output has no ANSI codes or item panels — got: {result!r}"
)
@then("the format result should contain color styled list output")
def step_format_result_color_list(context: Context) -> None:
"""Assert color format produces styled output for list data (panel per item)."""
result = context.format_result
assert "name" in result, f"Color list output missing 'name': {result!r}"
has_ansi = "\033[" in result or "\x1b[" in result
has_item_panel = "Item 1" in result or "Item 2" in result
assert has_ansi or has_item_panel, (
f"Color list output has no ANSI codes or item panels — got: {result!r}"
)
+24 -51
View File
@@ -441,6 +441,12 @@ def step_call_format_rich(context: Context) -> None:
context.format_result = _capture_format_output(data, "rich")
@when("I call format_output with a dict and format color")
def step_call_format_color(context: Context) -> None:
data = {"name": "test", "count": 42}
context.format_result = _capture_format_output(data, "color")
@when("I call format_output with a list and format plain")
def step_call_format_list_plain(context: Context) -> None:
data = [
@@ -450,6 +456,24 @@ def step_call_format_list_plain(context: Context) -> None:
context.format_result = _capture_format_output(data, "plain")
@when("I call format_output with a list and format rich")
def step_call_format_list_rich(context: Context) -> None:
data = [
{"name": "a", "count": 1},
{"name": "b", "count": 2},
]
context.format_result = _capture_format_output(data, "rich")
@when("I call format_output with a list and format color")
def step_call_format_list_color(context: Context) -> None:
data = [
{"name": "a", "count": 1},
{"name": "b", "count": 2},
]
context.format_result = _capture_format_output(data, "color")
@when("I call serialize_value with enum and nested data")
def step_call_serialize_with_enum(context: Context) -> None:
context.serialized = _serialize_value(
@@ -460,54 +484,3 @@ def step_call_serialize_with_enum(context: Context) -> None:
"ts": datetime(2025, 6, 1, 12, 0),
}
)
# ------- Additional Then steps -------
@then("the format result should be valid JSON dict")
def step_format_result_json_dict(context: Context) -> None:
parsed = json.loads(context.format_result)
assert isinstance(parsed, dict)
# Verify spec-required envelope fields are present
for field in ("command", "status", "exit_code", "data", "timing", "messages"):
assert field in parsed, f"Envelope field '{field}' missing from JSON result"
# Verify data field contains the original dict
assert isinstance(parsed["data"], dict)
@then("the format result should be valid YAML dict")
def step_format_result_yaml_dict(context: Context) -> None:
parsed = yaml.safe_load(context.format_result)
assert isinstance(parsed, dict)
# Verify spec-required envelope fields are present
for field in ("command", "status", "exit_code", "data", "timing", "messages"):
assert field in parsed, f"Envelope field '{field}' missing from YAML result"
# Verify data field contains the original dict
assert isinstance(parsed["data"], dict)
@then("the format result should contain plain key-value pairs")
def step_format_result_plain(context: Context) -> None:
assert "name: test" in context.format_result
assert "nested:" in context.format_result
assert "items:" in context.format_result
@then("the format result should contain table output")
def step_format_result_table(context: Context) -> None:
assert "name" in context.format_result
assert "count" in context.format_result
@then("the format result should contain separator lines")
def step_format_result_separator(context: Context) -> None:
assert "---" in context.format_result
@then("the serialized result should have string enum values")
def step_serialized_enum_values(context: Context) -> None:
assert context.serialized["state"] == "available"
assert isinstance(context.serialized["nested"], dict)
assert context.serialized["items"][0] == "archived"
assert isinstance(context.serialized["ts"], str)
+389
View File
@@ -0,0 +1,389 @@
"""Step definitions for container_handler.feature.
Tests for the container infrastructure resource handler module
(cleveragents.resource.handlers.container).
"""
from __future__ import annotations
from typing import Any
from unittest.mock import MagicMock
from behave import given, then, when # type: ignore[attr-defined]
from cleveragents.domain.models.core.resource import (
PhysVirt,
Resource,
ResourceCapabilities,
)
from cleveragents.resource.handlers._base import EMPTY_CONTENT_HASH
from cleveragents.resource.handlers.protocol import ResourceHandler
# ── Handler class registry ───────────────────────────────────
def _get_handler_class(class_name: str) -> type:
"""Import and return a handler class from the container module."""
from cleveragents.resource.handlers import container as _container_mod
cls = getattr(_container_mod, class_name, None)
if cls is None:
raise AssertionError(
f"Class '{class_name}' not found in "
"cleveragents.resource.handlers.container"
)
return cls
def _make_container_resource(
resource_type: str,
location: str | None = None,
) -> Resource:
"""Create a minimal container resource for testing."""
return Resource(
resource_id="01KJ5C5TPMP8GGX3QC83E2MAQS",
resource_type_name=resource_type,
classification=PhysVirt.PHYSICAL,
location=location,
properties={},
capabilities=ResourceCapabilities(
readable=True,
writable=False,
sandboxable=False,
checkpointable=False,
),
)
# ── When steps ───────────────────────────────────────────────
@when("I import the container handler module")
def step_import_container_module(context: Any) -> None:
"""Attempt to import the container handler module."""
try:
import cleveragents.resource.handlers.container as _mod
context.import_error = None # type: ignore[attr-defined]
context.container_module = _mod # type: ignore[attr-defined]
except Exception as exc:
context.import_error = exc # type: ignore[attr-defined]
@when('I import "{class_name}" from the container handler module')
def step_import_class_from_container_module(context: Any, class_name: str) -> None:
"""Attempt to import a specific class from the container handler module."""
try:
cls = _get_handler_class(class_name)
context.imported_class = cls # type: ignore[attr-defined]
context.import_error = None # type: ignore[attr-defined]
except Exception as exc:
context.import_error = exc # type: ignore[attr-defined]
context.imported_class = None # type: ignore[attr-defined]
@when('I resolve the handler "<handler_ref>"')
def step_resolve_handler_ref_template(context: Any, handler_ref: str) -> None:
"""Resolve a handler by reference string (template step)."""
step_resolve_handler_ref(context, handler_ref)
@when('I resolve the handler "{handler_ref}"')
def step_resolve_handler_ref(context: Any, handler_ref: str) -> None:
"""Resolve a handler by reference string."""
from cleveragents.resource.handlers.resolver import (
HandlerResolutionError,
clear_handler_cache,
resolve_handler,
)
clear_handler_cache()
try:
context.resolved_handler = resolve_handler(handler_ref) # type: ignore[attr-defined]
context.resolution_error = None # type: ignore[attr-defined]
except HandlerResolutionError as exc:
context.resolution_error = exc # type: ignore[attr-defined]
context.resolved_handler = None # type: ignore[attr-defined]
@when('I resolve the handler for resource type "{resource_type}"')
def step_resolve_handler_for_type(context: Any, resource_type: str) -> None:
"""Resolve a handler for a resource type via the registry."""
from cleveragents.application.services._resource_registry_data import BUILTIN_TYPES
from cleveragents.resource.handlers.resolver import (
HandlerResolutionError,
clear_handler_cache,
resolve_handler,
)
clear_handler_cache()
handler_ref = None
for type_def in BUILTIN_TYPES:
if type_def["name"] == resource_type:
handler_ref = type_def.get("handler")
break
if handler_ref is None:
context.resolution_error = AssertionError( # type: ignore[attr-defined]
f"Resource type '{resource_type}' not found in BUILTIN_TYPES"
)
context.resolved_handler = None # type: ignore[attr-defined]
return
try:
context.resolved_handler = resolve_handler(handler_ref) # type: ignore[attr-defined]
context.resolution_error = None # type: ignore[attr-defined]
except HandlerResolutionError as exc:
context.resolution_error = exc # type: ignore[attr-defined]
context.resolved_handler = None # type: ignore[attr-defined]
@when("I call resolve on the container handler")
def step_call_resolve(context: Any) -> None:
"""Call resolve() on the handler and capture any exception."""
mock_sandbox = MagicMock()
try:
context.handler.resolve( # type: ignore[attr-defined]
resource=context.container_resource, # type: ignore[attr-defined]
plan_id="test-plan-01",
slot_name="test-slot",
sandbox_manager=mock_sandbox,
access="read_only",
)
context.raised_exception = None # type: ignore[attr-defined]
except Exception as exc:
context.raised_exception = exc # type: ignore[attr-defined]
@when("I call read on the container handler")
def step_call_read(context: Any) -> None:
"""Call read() on the handler and capture any exception."""
try:
context.handler.read( # type: ignore[attr-defined]
resource=context.container_resource, # type: ignore[attr-defined]
)
context.raised_exception = None # type: ignore[attr-defined]
except Exception as exc:
context.raised_exception = exc # type: ignore[attr-defined]
@when('I call write on the container handler with data b"test"')
def step_call_write(context: Any) -> None:
"""Call write() on the handler and capture any exception."""
try:
context.handler.write( # type: ignore[attr-defined]
resource=context.container_resource, # type: ignore[attr-defined]
path="",
data=b"test",
)
context.raised_exception = None # type: ignore[attr-defined]
except Exception as exc:
context.raised_exception = exc # type: ignore[attr-defined]
@when("I call delete on the container handler")
def step_call_delete(context: Any) -> None:
"""Call delete() on the handler and capture any exception."""
try:
context.handler.delete( # type: ignore[attr-defined]
resource=context.container_resource, # type: ignore[attr-defined]
)
context.raised_exception = None # type: ignore[attr-defined]
except Exception as exc:
context.raised_exception = exc # type: ignore[attr-defined]
@when("I call list_children on the container handler")
def step_call_list_children(context: Any) -> None:
"""Call list_children() on the handler and capture any exception."""
try:
context.handler.list_children( # type: ignore[attr-defined]
resource=context.container_resource, # type: ignore[attr-defined]
)
context.raised_exception = None # type: ignore[attr-defined]
except Exception as exc:
context.raised_exception = exc # type: ignore[attr-defined]
@when('I call diff on the container handler with other_location "/other"')
def step_call_diff(context: Any) -> None:
"""Call diff() on the handler and capture any exception."""
try:
context.handler.diff( # type: ignore[attr-defined]
resource=context.container_resource, # type: ignore[attr-defined]
other_location="/other",
)
context.raised_exception = None # type: ignore[attr-defined]
except Exception as exc:
context.raised_exception = exc # type: ignore[attr-defined]
@when("I call discover_children on the container handler")
def step_call_discover_children(context: Any) -> None:
"""Call discover_children() on the handler and capture any exception."""
try:
context.handler.discover_children( # type: ignore[attr-defined]
resource=context.container_resource, # type: ignore[attr-defined]
)
context.raised_exception = None # type: ignore[attr-defined]
except Exception as exc:
context.raised_exception = exc # type: ignore[attr-defined]
@when("I call create_checkpoint on the container handler")
def step_call_create_checkpoint(context: Any) -> None:
"""Call create_checkpoint() on the handler and capture any exception."""
mock_sandbox = MagicMock()
try:
context.handler.create_checkpoint( # type: ignore[attr-defined]
resource=context.container_resource, # type: ignore[attr-defined]
plan_id="test-plan-01",
sandbox_manager=mock_sandbox,
)
context.raised_exception = None # type: ignore[attr-defined]
except Exception as exc:
context.raised_exception = exc # type: ignore[attr-defined]
@when("I call rollback_to on the container handler")
def step_call_rollback_to(context: Any) -> None:
"""Call rollback_to() on the handler and capture any exception."""
mock_sandbox = MagicMock()
try:
context.handler.rollback_to( # type: ignore[attr-defined]
resource=context.container_resource, # type: ignore[attr-defined]
plan_id="test-plan-01",
checkpoint_id="ckpt-001",
sandbox_manager=mock_sandbox,
)
context.raised_exception = None # type: ignore[attr-defined]
except Exception as exc:
context.raised_exception = exc # type: ignore[attr-defined]
@when("I call content_hash on the container handler")
def step_call_content_hash(context: Any) -> None:
"""Call content_hash() on the handler and capture the result."""
try:
context.content_hash_result = context.handler.content_hash( # type: ignore[attr-defined]
context.container_resource # type: ignore[attr-defined]
)
context.raised_exception = None # type: ignore[attr-defined]
except Exception as exc:
context.raised_exception = exc # type: ignore[attr-defined]
context.content_hash_result = None # type: ignore[attr-defined]
# ── Given steps ──────────────────────────────────────────────
@given('a "{class_name}" instance')
def step_handler_instance(context: Any, class_name: str) -> None:
"""Create a handler instance by class name."""
cls = _get_handler_class(class_name)
context.handler = cls() # type: ignore[attr-defined]
context.handler_class_name = class_name # type: ignore[attr-defined]
@given('a container resource of type "{resource_type}" with location "{location}"')
def step_container_resource_with_location(
context: Any, resource_type: str, location: str
) -> None:
"""Create a container resource with a specific location."""
context.container_resource = _make_container_resource( # type: ignore[attr-defined]
resource_type=resource_type,
location=location,
)
@given('a container resource of type "{resource_type}" with no location')
def step_container_resource_no_location(context: Any, resource_type: str) -> None:
"""Create a container resource with no location."""
context.container_resource = _make_container_resource( # type: ignore[attr-defined]
resource_type=resource_type,
location=None,
)
# ── Then steps ───────────────────────────────────────────────
@then("the container handler module import should succeed without errors")
def step_import_succeeded(context: Any) -> None:
"""Assert that the import succeeded."""
assert context.import_error is None, ( # type: ignore[attr-defined]
f"Import failed with: {context.import_error}" # type: ignore[attr-defined]
)
@then("the class should be importable")
def step_class_importable(context: Any) -> None:
"""Assert that the class was imported successfully."""
assert context.import_error is None, ( # type: ignore[attr-defined]
f"Class import failed with: {context.import_error}" # type: ignore[attr-defined]
)
assert context.imported_class is not None # type: ignore[attr-defined]
@then("the instance should satisfy the ResourceHandler protocol")
def step_satisfies_protocol(context: Any) -> None:
"""Assert that the handler instance satisfies ResourceHandler protocol."""
assert isinstance(context.handler, ResourceHandler), ( # type: ignore[attr-defined]
f"{context.handler_class_name} does not satisfy ResourceHandler protocol" # type: ignore[attr-defined]
)
@then("the handler should resolve without HandlerResolutionError")
def step_handler_resolved(context: Any) -> None:
"""Assert that the handler resolved without error."""
assert context.resolution_error is None, ( # type: ignore[attr-defined]
f"Handler resolution failed: {context.resolution_error}" # type: ignore[attr-defined]
)
assert context.resolved_handler is not None # type: ignore[attr-defined]
@then('the handler type_label should be "{expected_label}"')
def step_handler_type_label(context: Any, expected_label: str) -> None:
"""Assert the handler's _type_label class variable."""
actual = getattr(context.handler, "_type_label", None) # type: ignore[attr-defined]
assert actual == expected_label, (
f"Expected _type_label='{expected_label}', got '{actual}'"
)
@then("a container handler NotImplementedError should be raised")
def step_not_implemented_raised(context: Any) -> None:
"""Assert that a NotImplementedError was raised."""
exc = context.raised_exception # type: ignore[attr-defined]
assert exc is not None, "Expected NotImplementedError but no exception was raised"
assert isinstance(exc, NotImplementedError), (
f"Expected NotImplementedError but got {type(exc).__name__}: {exc}"
)
@then("the content_hash result should be the EMPTY_CONTENT_HASH sentinel")
def step_content_hash_is_empty(context: Any) -> None:
"""Assert that content_hash returned the EMPTY_CONTENT_HASH sentinel."""
result = context.content_hash_result # type: ignore[attr-defined]
assert result == EMPTY_CONTENT_HASH, (
f"Expected EMPTY_CONTENT_HASH but got: {result!r}"
)
@then("the content_hash result should be a non-empty hex string")
def step_content_hash_is_hex(context: Any) -> None:
"""Assert that content_hash returned a non-empty hex string."""
result = context.content_hash_result # type: ignore[attr-defined]
assert result is not None, "content_hash returned None"
assert isinstance(result, str), f"Expected str, got {type(result)}"
assert len(result) > 0, "content_hash returned empty string"
assert result != EMPTY_CONTENT_HASH, (
"content_hash returned EMPTY_CONTENT_HASH but expected identity hash"
)
# Verify it's a valid hex string
try:
int(result, 16)
except ValueError as exc:
raise AssertionError(
f"content_hash result is not a valid hex string: {result!r}"
) from exc
+14
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@@ -1085,3 +1085,17 @@ def step_check_all_plans_migrated(context: Context) -> None:
assert plan_names == expected_names, (
f"Expected plans {expected_names}, got {plan_names}"
)
@then("the existing plan id should be mapped without type suppression")
def step_check_existing_plan_id_mapped(context: Context) -> None:
"""Check that existing plan id was mapped correctly via assert type narrowing."""
with context.unit_of_work.transaction() as ctx:
project = ctx.projects.get_by_name("existing_plans")
assert project is not None, "Project 'existing_plans' should exist in database"
plans = ctx.plans.get_all_for_project(project.id)
main_plans = [p for p in plans if p.name == "main"]
assert len(main_plans) == 1, "Should have exactly one 'main' plan"
assert main_plans[0].id is not None, (
"Existing plan id must be non-None (assert narrowing validates this)"
)
+76 -123
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@@ -6,8 +6,8 @@ from behave import given, then, when
from behave.runner import Context
from pydantic import ValidationError
from cleveragents.application.services.acms_service import SkeletonCompressor
from cleveragents.application.services.skeleton_compressor import (
DEFAULT_SKELETON_RATIO,
SkeletonCompressorService,
)
from cleveragents.domain.models.core.context_fragment import (
@@ -51,7 +51,7 @@ def _make_skel_fragment(
)
def _make_fragments(total_tokens: int, count: int = 4) -> list[ContextFragment]:
def _make_fragments(total_tokens: int, count: int = 4) -> tuple[ContextFragment, ...]:
"""Create *count* fragments summing to *total_tokens*."""
base = total_tokens // count
remainder = total_tokens - base * count
@@ -68,7 +68,7 @@ def _make_fragments(total_tokens: int, count: int = 4) -> list[ContextFragment]:
source_decision_id=f"01HX{'A' * 22}{i}" if i < 3 else None,
)
)
return frags
return tuple(frags)
def _make_plan_id() -> str:
@@ -94,7 +94,7 @@ def step_fragments_total(context: Context, total: int) -> None:
@given("three fragments with equal relevance {rel:g}")
def step_equal_relevance(context: Context, rel: float) -> None:
context.fragments = [
context.fragments = tuple(
_make_skel_fragment(
fragment_id=f"frag-{chr(ord('c') - i)}",
content="x" * 50,
@@ -102,12 +102,12 @@ def step_equal_relevance(context: Context, rel: float) -> None:
relevance_score=rel,
)
for i in range(3)
]
)
@given("fragments with relevances 0.9, 0.3, and 0.7")
def step_varied_relevances(context: Context) -> None:
context.fragments = [
context.fragments = (
_make_skel_fragment(
fragment_id="f-1", content="a", token_count=100, relevance_score=0.9
),
@@ -117,12 +117,12 @@ def step_varied_relevances(context: Context) -> None:
_make_skel_fragment(
fragment_id="f-3", content="c", token_count=100, relevance_score=0.7
),
]
)
@given("fragments with known decision IDs")
def step_known_ids(context: Context) -> None:
context.fragments = [
context.fragments = (
_make_skel_fragment(
fragment_id="f-1",
content="a",
@@ -137,46 +137,46 @@ def step_known_ids(context: Context) -> None:
relevance_score=0.5,
source_decision_id="01HXDECISION00000000000002",
),
]
)
@given("an empty fragment list")
def step_empty_frags(context: Context) -> None:
context.fragments = []
context.fragments = ()
@given("a single fragment with {tokens:d} tokens")
def step_single_frag(context: Context, tokens: int) -> None:
context.fragments = [
context.fragments = (
_make_skel_fragment(
fragment_id="only",
content="x" * tokens,
token_count=tokens,
relevance_score=0.8,
),
]
)
@given("a fragment with negative token count")
def step_neg_tokens(context: Context) -> None:
try:
context.fragments = [
context.fragments = (
_make_skel_fragment(
fragment_id="bad",
content="x",
token_count=-10,
relevance_score=0.5,
),
]
)
except (ValueError, ValidationError) as exc:
# Model-level validation now catches this at construction time.
context.compressor_error = exc
context.fragments = []
context.fragments = ()
@given("a fragment with empty fragment_id")
def step_empty_id(context: Context) -> None:
context.fragments = [
context.fragments = (
ContextFragment(
fragment_id="",
uko_node="skeleton://empty-id",
@@ -185,24 +185,24 @@ def step_empty_id(context: Context) -> None:
relevance_score=0.5,
provenance=_SKEL_PROV,
),
]
)
@given("a fragment with relevance {rel:g}")
def step_bad_relevance(context: Context, rel: float) -> None:
try:
context.fragments = [
context.fragments = (
_make_skel_fragment(
fragment_id="bad",
content="x",
token_count=10,
relevance_score=rel,
),
]
)
except (ValueError, ValidationError) as exc:
# Model-level validation now catches this at construction time.
context.compressor_error = exc
context.fragments = []
context.fragments = ()
@given(
@@ -220,8 +220,8 @@ def step_make_metadata(context: Context, ratio: float, orig: int, comp: int) ->
# --- When clauses ----------------------------------------------------------
@when("I compress with skeleton_ratio {ratio:g}")
def step_compress_ratio(context: Context, ratio: float) -> None:
@when("I compress with skeleton_budget {budget:d}")
def step_compress_budget(context: Context, budget: int) -> None:
# If model-level validation already caught an error during fragment
# construction (Given step), propagate it as the compress error.
if getattr(context, "compressor_error", None) is not None:
@@ -229,45 +229,37 @@ def step_compress_ratio(context: Context, ratio: float) -> None:
context.result = None
return
try:
context.result = context.service.compress(
context.fragments, skeleton_ratio=ratio
)
context.result = context.service.compress(context.fragments, budget)
context.error = None
except (ValueError, TypeError) as exc:
context.error = exc
context.result = None
@when("I compress with skeleton_ratio not specified")
def step_compress_default(context: Context) -> None:
context.result = context.service.compress(context.fragments)
context.error = None
@when("I compress with a non-list fragments argument")
def step_compress_non_list(context: Context) -> None:
@when("I compress with a non-tuple fragments argument")
def step_compress_non_tuple(context: Context) -> None:
try:
context.result = context.service.compress("not-a-list", skeleton_ratio=0.5) # type: ignore[arg-type]
context.result = context.service.compress("not-a-tuple", 500) # type: ignore[arg-type]
context.error = None
except TypeError as exc:
context.error = exc
context.result = None
@when("I compress with a list containing a non-fragment item")
@when("I compress with a tuple containing a non-fragment item")
def step_compress_non_fragment_item(context: Context) -> None:
try:
context.result = context.service.compress(
[
(
_make_skel_fragment(
fragment_id="ok",
content="x",
token_count=10,
relevance_score=0.5,
),
"not-a-fragment",
], # type: ignore[list-item]
skeleton_ratio=0.5,
"not-a-fragment", # type: ignore[arg-type]
),
500,
)
context.error = None
except TypeError as exc:
@@ -275,12 +267,12 @@ def step_compress_non_fragment_item(context: Context) -> None:
context.result = None
@when("I compress with a non-numeric skeleton_ratio")
def step_compress_non_numeric_ratio(context: Context) -> None:
@when("I compress with a non-integer skeleton_budget")
def step_compress_non_integer_budget(context: Context) -> None:
try:
context.result = context.service.compress(
context.fragments,
skeleton_ratio="bad", # type: ignore[arg-type]
"bad", # type: ignore[arg-type]
)
context.error = None
except TypeError as exc:
@@ -315,11 +307,21 @@ def step_attach_to_plan(context: Context) -> None:
)
@when(
"I check that SkeletonCompressorService satisfies the SkeletonCompressor protocol"
)
def step_check_protocol(context: Context) -> None:
context.protocol_check_result = isinstance(
SkeletonCompressorService(), SkeletonCompressor
)
context.protocol_check_error = None
# --- Then clauses ----------------------------------------------------------
@then("the compressor should raise a ValueError for invalid ratio")
def step_check_value_error_ratio(context: Context) -> None:
@then("the compressor should raise a ValueError for invalid budget")
def step_check_value_error_budget(context: Context) -> None:
assert context.error is not None, "Expected ValueError"
assert isinstance(context.error, ValueError), (
f"Expected ValueError, got {type(context.error)}"
@@ -329,95 +331,33 @@ def step_check_value_error_ratio(context: Context) -> None:
@then("all fragments should be returned unchanged")
def step_all_returned(context: Context) -> None:
assert context.result is not None
assert len(context.result.fragments) == len(context.fragments)
@then("only the highest-relevance fragment should be returned")
def step_top_one(context: Context) -> None:
assert context.result is not None
assert len(context.result.fragments) == 1
top_relevance = max(f.relevance_score for f in context.fragments)
assert context.result.fragments[0].relevance_score == top_relevance
assert len(context.result) == len(context.fragments)
@then("compressed tokens should be at most {limit:d}")
def step_tokens_limit(context: Context, limit: int) -> None:
assert context.result is not None
assert context.result.metadata.compressed_tokens <= limit
@then("the metadata ratio should equal the default {expected:g}")
def step_default_ratio(context: Context, expected: float) -> None:
assert context.result is not None
assert context.result.metadata.ratio == expected
assert expected == DEFAULT_SKELETON_RATIO
total = sum(f.token_count for f in context.result)
assert total <= limit, f"Expected total tokens <= {limit}, got {total}"
@then("fragments should be ordered by fragment_id ascending")
def step_ordered_by_id(context: Context) -> None:
assert context.result is not None
ids = [f.fragment_id for f in context.result.fragments]
ids = [f.fragment_id for f in context.result]
assert ids == sorted(ids), f"Expected sorted IDs, got {ids}"
@then("the first fragment should have relevance {rel:g}")
def step_first_relevance(context: Context, rel: float) -> None:
assert context.result is not None
assert context.result.fragments[0].relevance_score == rel
assert context.result[0].relevance_score == rel
@then("the last fragment should have relevance {rel:g}")
def step_last_relevance(context: Context, rel: float) -> None:
assert context.result is not None
assert context.result.fragments[-1].relevance_score == rel
@then("metadata original_tokens should be {expected:d}")
def step_original_tokens(context: Context, expected: int) -> None:
assert context.result is not None
assert context.result.metadata.original_tokens == expected
@then("metadata compressed_tokens should equal {expected:d}")
def step_compressed_equals(context: Context, expected: int) -> None:
assert context.result is not None
assert context.result.metadata.compressed_tokens == expected
@then("metadata compressed_tokens should be at most {limit:d}")
def step_compressed_at_most(context: Context, limit: int) -> None:
assert context.result is not None
assert context.result.metadata.compressed_tokens <= limit
@then("metadata should contain all source decision IDs")
def step_all_decision_ids(context: Context) -> None:
assert context.result is not None
expected_ids = {
f.metadata["source_decision_id"]
for f in context.fragments
if "source_decision_id" in f.metadata
}
actual_ids = set(context.result.metadata.source_decision_ids)
assert expected_ids == actual_ids
@then("metadata ratio should be {expected:g}")
def step_ratio_value(context: Context, expected: float) -> None:
assert context.result is not None
assert context.result.metadata.ratio == expected
@then("the result should contain zero fragments")
def step_zero_frags(context: Context) -> None:
assert context.result is not None
assert len(context.result.fragments) == 0
@then("the result should contain one fragment")
def step_one_frag(context: Context) -> None:
assert context.result is not None
assert len(context.result.fragments) == 1
assert context.result[-1].relevance_score == rel
@then("the compressor should raise a TypeError")
@@ -444,8 +384,8 @@ def step_type_error_item(context: Context) -> None:
)
@then("the compressor should raise a TypeError for invalid ratio type")
def step_type_error_ratio_type(context: Context) -> None:
@then("the compressor should raise a TypeError for invalid budget type")
def step_type_error_budget_type(context: Context) -> None:
assert context.error is not None, "Expected TypeError"
assert isinstance(context.error, TypeError), (
f"Expected TypeError, got {type(context.error)}"
@@ -457,13 +397,16 @@ def step_validation_error_compressed(context: Context) -> None:
assert context.meta_error is not None, "Expected validation error"
@then("compressed_tokens should be less than original_tokens")
def step_less_tokens(context: Context) -> None:
@then("the result should contain zero fragments")
def step_zero_frags(context: Context) -> None:
assert context.result is not None
assert (
context.result.metadata.compressed_tokens
< context.result.metadata.original_tokens
)
assert len(context.result) == 0
@then("the result should contain one fragment")
def step_one_frag(context: Context) -> None:
assert context.result is not None
assert len(context.result) == 1
@then("the plan should expose skeleton metadata in cli dict")
@@ -476,6 +419,16 @@ def step_plan_cli_dict(context: Context) -> None:
assert skel["compressed_tokens"] == context.skel_meta.compressed_tokens
@then("the structural subtype assertion should pass")
def step_protocol_assertion_passes(context: Context) -> None:
assert context.protocol_check_error is None, (
f"Protocol check raised: {context.protocol_check_error}"
)
assert context.protocol_check_result is True, (
"SkeletonCompressorService does not satisfy the SkeletonCompressor protocol"
)
# --- _validate_fragments edge-case steps --------------------------------
@@ -489,7 +442,7 @@ def step_frag_negative_token(context: Context) -> None:
relevance_score=0.5,
provenance=_SKEL_PROV,
)
context.invalid_fragments = [frag]
context.invalid_fragments = (frag,)
@given("a context fragment constructed with relevance_score {score}")
@@ -502,7 +455,7 @@ def step_frag_bad_relevance(context: Context, score: str) -> None:
relevance_score=float(score),
provenance=_SKEL_PROV,
)
context.invalid_fragments = [frag]
context.invalid_fragments = (frag,)
@given("a context fragment constructed with empty fragment_id")
@@ -515,7 +468,7 @@ def step_frag_empty_id(context: Context) -> None:
relevance_score=0.5,
provenance=_SKEL_PROV,
)
context.invalid_fragments = [frag]
context.invalid_fragments = (frag,)
@when("I validate the invalid fragments")
+79
View File
@@ -651,3 +651,82 @@ def step_then_model_dump_contains_key(context: Context, key: str) -> None:
assert context.skill_config is not None
data: dict[str, Any] = context.skill_config.model_dump()
assert key in data, f"Key '{key}' not found in model_dump: {list(data.keys())}"
# ────────────────────────────────────────────────────────────
# skill: wrapper key test fixtures and steps
# ────────────────────────────────────────────────────────────
_SPEC_COMPLIANT_WRAPPED_YAML = """\
cleveragents:
version: "1.0"
skill:
name: local/wrapped-skill
tools:
- name: builtin/shell_execute
"""
_SPEC_COMPLIANT_WRAPPED_META_YAML = """\
cleveragents:
version: "2.0"
skill:
name: local/wrapped-with-meta
description: "A wrapped skill with metadata"
"""
_SKILL_WRAPPER_NONE_YAML = """\
skill:
"""
_SKILL_WRAPPER_STRING_YAML = """\
skill: "just a string"
"""
_SKILL_WRAPPER_LIST_YAML = """\
skill:
- item1
- item2
"""
_CLEVERAGENTS_FLAT_META_YAML = """\
cleveragents:
version: "1.0"
name: local/flat-with-meta
description: "Flat config with stray metadata"
"""
@given("a spec-compliant skill YAML with skill: wrapper key")
def step_given_spec_compliant_wrapper(context: Context) -> None:
"""Provide a spec-compliant YAML with cleveragents: header and skill: wrapper."""
context.skill_yaml_string = _SPEC_COMPLIANT_WRAPPED_YAML
@given("a spec-compliant skill YAML with cleveragents: header and skill: wrapper")
def step_given_spec_compliant_with_meta(context: Context) -> None:
"""Provide a spec-compliant YAML with both cleveragents: header and skill: wrapper."""
context.skill_yaml_string = _SPEC_COMPLIANT_WRAPPED_META_YAML
@given("a skill YAML with skill: wrapper key with None value")
def step_given_skill_wrapper_none(context: Context) -> None:
"""Provide a YAML with skill: wrapper key but no value (None)."""
context.skill_yaml_string = _SKILL_WRAPPER_NONE_YAML
@given("a skill YAML with skill: wrapper key and string value")
def step_given_skill_wrapper_string(context: Context) -> None:
"""Provide a YAML with skill: wrapper key but a non-dict string value."""
context.skill_yaml_string = _SKILL_WRAPPER_STRING_YAML
@given("a skill YAML with skill: wrapper key and list value")
def step_given_skill_wrapper_list(context: Context) -> None:
"""Provide a YAML with skill: wrapper key but a non-dict list value."""
context.skill_yaml_string = _SKILL_WRAPPER_LIST_YAML
@given("a skill YAML with cleveragents: header and flat format")
def step_given_cleveragents_flat_meta(context: Context) -> None:
"""Provide a flat-format YAML with cleveragents: metadata but no skill: wrapper."""
context.skill_yaml_string = _CLEVERAGENTS_FLAT_META_YAML
+18
View File
@@ -195,6 +195,13 @@ def step_no_mocked_tools(context: Context) -> None:
context.mock_service.list_tools.return_value = []
@given("there is a mocked read-only tool in the registry")
def step_mocked_read_only_tool(context: Context) -> None:
tool = _make_mock_tool("local/read-only-tool", "tool", "custom")
tool["capability"] = {"read_only": True, "writes": False, "checkpointable": False}
context.mock_service.list_tools.return_value = [tool]
@given('there is a mocked tool with name "{name}"')
def step_mocked_tool_exists(context: Context, name: str) -> None:
context.mock_service.get_tool.return_value = _make_mock_tool(name)
@@ -632,6 +639,17 @@ def step_tool_list_empty(context: Context) -> None:
assert "No tools found" in context.tool_result.output
@then("the Rich tool list output contains all five spec columns")
def step_rich_tool_list_columns(context: Context) -> None:
assert context.tool_result is not None
assert context.tool_result.exit_code == 0
output = context.tool_result.output
for col in ("Name", "Type", "Source", "Read-Only", "Writes"):
assert col in output, (
f"Expected column '{col}' in Rich table output. Got: {output}"
)
@then("the tool CLI should show the tool details")
def step_tool_show_details(context: Context) -> None:
assert context.tool_result is not None
+20
View File
@@ -113,6 +113,26 @@ Feature: Tool and Validation CLI commands
When I run tool CLI list with format "table"
Then the tool CLI list should succeed with results
Scenario: Rich table list has exactly the five spec columns
Given there are mocked tools in the registry
When I run tool CLI list
Then the Rich tool list output contains all five spec columns
Scenario: Rich table list renders checkmark for read-only capability
Given there is a mocked read-only tool in the registry
When I run tool CLI list
Then the tool CLI output should contain ""
Scenario: Rich table list renders dash for non-read-only capability
Given there are mocked tools in the registry
When I run tool CLI list
Then the tool CLI output should contain ""
Scenario: Rich table list shows a Summary panel
Given there are mocked tools in the registry
When I run tool CLI list
Then the tool CLI output should contain "Summary"
# Tool show command tests
Scenario: Show tool by name
Given there is a mocked tool with name "local/test-tool"
+22
View File
@@ -93,3 +93,25 @@ All Six Formats Work With Version Command
${result}= Run Process ${PYTHON} ${HELPER} global-format-all-six cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0
Should Contain ${result.stdout} cli-global-format-all-six-ok
# ---------------------------------------------------------------------------
# format_output() renderer routing tests (Issue #2921)
# ---------------------------------------------------------------------------
Format Output Rich Produces Styled Output Not JSON
[Documentation] Verify that format_output(data, "rich") produces styled terminal output
... and NOT raw JSON (fix for issue #2921: rich format silently fell back to JSON)
${result}= Run Process ${PYTHON} ${HELPER} format-output-rich cwd=${WORKSPACE}
Log ${result.stdout}
Log ${result.stderr}
Should Be Equal As Integers ${result.rc} 0
Should Contain ${result.stdout} cli-formats-format-output-rich-ok
Format Output Color Produces ANSI Colored Output Not Plain Text
[Documentation] Verify that format_output(data, "color") produces ANSI-colored output
... and NOT plain text (fix for issue #2921: color format used plain renderer)
${result}= Run Process ${PYTHON} ${HELPER} format-output-color cwd=${WORKSPACE}
Log ${result.stdout}
Log ${result.stderr}
Should Be Equal As Integers ${result.rc} 0
Should Contain ${result.stdout} cli-formats-format-output-color-ok
+68 -3
View File
@@ -49,13 +49,13 @@ def _mock_action(name: str = "local/fmt-smoke") -> Action:
read_only=False,
state=ActionState.AVAILABLE,
created_by=None,
created_at=datetime.now(),
updated_at=datetime.now(),
created_at=datetime(2025, 1, 15, 10, 0, 0),
updated_at=datetime(2025, 1, 15, 10, 0, 0),
)
def _mock_plan(name: str = "local/fmt-smoke-plan") -> Plan:
now = datetime.now()
now = datetime(2025, 1, 15, 10, 0, 0)
return Plan(
identity=PlanIdentity(plan_id=_ULID),
namespaced_name=NamespacedName.parse(name),
@@ -214,6 +214,69 @@ def global_format_all_six() -> None:
print("cli-global-format-all-six-ok")
def format_output_rich() -> None:
"""Verify format_output(data, 'rich') produces styled output, not JSON.
Regression test for issue #2921: rich format silently fell back to JSON.
"""
from cleveragents.cli.formatting import format_output
data = {"name": "smoke-test", "status": "active", "count": 42}
result = format_output(data, "rich")
# Must NOT be valid JSON (that was the bug)
try:
json.loads(result)
raise AssertionError(
f"format_output(data, 'rich') returned valid JSON — "
f"expected styled terminal output, got: {result!r}"
)
except (json.JSONDecodeError, ValueError):
pass # Expected: rich output is not JSON
# Must contain the data keys
assert "name" in result, f"Rich output missing 'name': {result!r}"
assert "status" in result, f"Rich output missing 'status': {result!r}"
# Must contain ANSI codes or panel header (styled output)
has_ansi = "\033[" in result or "\x1b[" in result
has_panel = "Output" in result
assert has_ansi or has_panel, (
f"Rich output has no ANSI codes or panel header: {result!r}"
)
print("cli-formats-format-output-rich-ok")
def format_output_color() -> None:
"""Verify format_output(data, 'color') produces ANSI-colored output, not plain text.
Regression test for issue #2921: color format used plain renderer instead of color.
"""
from cleveragents.cli.formatting import format_output
data = {"name": "smoke-test", "status": "active", "count": 42}
result = format_output(data, "color")
# Must contain the data keys
assert "name" in result, f"Color output missing 'name': {result!r}"
assert "status" in result, f"Color output missing 'status': {result!r}"
# Must NOT be plain text only (that was the bug)
plain_text = "name: smoke-test\nstatus: active\ncount: 42"
assert result != plain_text, (
f"format_output(data, 'color') returned plain text — "
f"expected ANSI-colored output, got: {result!r}"
)
# Must contain ANSI codes or panel header (styled output)
has_ansi = "\033[" in result or "\x1b[" in result
has_panel = "Output" in result
assert has_ansi or has_panel, (
f"Color output has no ANSI codes or panel header: {result!r}"
)
print("cli-formats-format-output-color-ok")
_COMMANDS = {
"action-list-json": action_list_json,
"action-show-yaml": action_show_yaml,
@@ -226,6 +289,8 @@ _COMMANDS = {
"global-format-json-diagnostics": global_format_json_diagnostics,
"global-format-shorthand": global_format_shorthand,
"global-format-all-six": global_format_all_six,
"format-output-rich": format_output_rich,
"format-output-color": format_output_color,
}
if __name__ == "__main__":
+48 -61
View File
@@ -1,10 +1,10 @@
"""Helper script for skeleton compressor Robot Framework tests.
Usage:
python helper_skeleton_compressor.py compress <ratio>
python helper_skeleton_compressor.py validate-ratio-bounds
python helper_skeleton_compressor.py metadata-fields
python helper_skeleton_compressor.py compress <budget>
python helper_skeleton_compressor.py validate-budget-bounds
python helper_skeleton_compressor.py stable-ordering
python helper_skeleton_compressor.py protocol-check
"""
from __future__ import annotations
@@ -17,6 +17,9 @@ _SRC = str(Path(__file__).resolve().parents[1] / "src")
if _SRC not in sys.path:
sys.path.insert(0, _SRC)
from cleveragents.application.services.acms_service import ( # noqa: E402
SkeletonCompressor,
)
from cleveragents.application.services.skeleton_compressor import ( # noqa: E402
SkeletonCompressorService,
)
@@ -51,9 +54,9 @@ def _make_skel_fragment(
)
def _sample_fragments() -> list[ContextFragment]:
def _sample_fragments() -> tuple[ContextFragment, ...]:
"""Build a repeatable set of sample fragments."""
return [
return (
_make_skel_fragment(
fragment_id="frag-001",
content="High relevance content " * 20,
@@ -75,73 +78,44 @@ def _sample_fragments() -> list[ContextFragment]:
relevance_score=0.3,
source_decision_id="01HXDECISION00000000000003",
),
]
)
def cmd_compress(ratio_str: str) -> None:
def cmd_compress(budget_str: str) -> None:
"""Compress sample fragments and print summary."""
ratio = float(ratio_str)
budget = int(budget_str)
svc = SkeletonCompressorService()
result = svc.compress(_sample_fragments(), skeleton_ratio=ratio)
meta = result.metadata
print(f"skeleton-compress-ok ratio={meta.ratio}")
print(f"original_tokens={meta.original_tokens}")
print(f"compressed_tokens={meta.compressed_tokens}")
print(f"fragment_count={len(result.fragments)}")
print(f"decision_ids={len(meta.source_decision_ids)}")
result = svc.compress(_sample_fragments(), budget)
total_tokens = sum(f.token_count for f in result)
print(f"skeleton-compress-ok budget={budget}")
print(f"fragment_count={len(result)}")
print(f"total_tokens={total_tokens}")
def cmd_validate_ratio_bounds() -> None:
"""Verify that out-of-range ratios raise ValueError."""
def cmd_validate_budget_bounds() -> None:
"""Verify that negative budgets raise ValueError."""
svc = SkeletonCompressorService()
frags = _sample_fragments()
for bad in (-0.1, 1.5, 2.0):
for bad in (-1, -10, -100):
try:
svc.compress(frags, skeleton_ratio=bad)
print(f"FAIL: ratio {bad} did not raise")
svc.compress(frags, bad)
print(f"FAIL: budget {bad} did not raise")
sys.exit(1)
except ValueError:
pass
# Valid bounds
for good in (0.0, 0.5, 1.0):
svc.compress(frags, skeleton_ratio=good)
for good in (0, 500, 1000):
svc.compress(frags, good)
print("skeleton-ratio-bounds-ok")
def cmd_metadata_fields() -> None:
"""Verify metadata fields are populated correctly."""
svc = SkeletonCompressorService()
result = svc.compress(_sample_fragments(), skeleton_ratio=0.5)
meta = result.metadata
checks_passed = True
if meta.ratio != 0.5:
print(f"FAIL: ratio={meta.ratio}")
checks_passed = False
if meta.original_tokens != 1000:
print(f"FAIL: original_tokens={meta.original_tokens}")
checks_passed = False
if meta.compressed_tokens > 500:
print(f"FAIL: compressed_tokens={meta.compressed_tokens} > 500")
checks_passed = False
if not meta.source_decision_ids:
print("FAIL: no decision IDs")
checks_passed = False
if checks_passed:
print("skeleton-metadata-ok")
else:
sys.exit(1)
print("skeleton-budget-bounds-ok")
def cmd_stable_ordering() -> None:
"""Verify fragments come out in deterministic order."""
svc = SkeletonCompressorService()
frags = [
frags = tuple(
_make_skel_fragment(
fragment_id=f"frag-{chr(ord('c') - i)}",
content="x",
@@ -149,13 +123,13 @@ def cmd_stable_ordering() -> None:
relevance_score=0.5,
)
for i in range(3)
]
)
r1 = svc.compress(frags, skeleton_ratio=0.0)
r2 = svc.compress(list(reversed(frags)), skeleton_ratio=0.0)
r1 = svc.compress(frags, 10000)
r2 = svc.compress(tuple(reversed(frags)), 10000)
ids1 = [f.fragment_id for f in r1.fragments]
ids2 = [f.fragment_id for f in r2.fragments]
ids1 = [f.fragment_id for f in r1]
ids2 = [f.fragment_id for f in r2]
if ids1 == ids2:
print("skeleton-stable-ordering-ok")
@@ -164,6 +138,19 @@ def cmd_stable_ordering() -> None:
sys.exit(1)
def cmd_protocol_check() -> None:
"""Verify SkeletonCompressorService satisfies the SkeletonCompressor protocol."""
svc = SkeletonCompressorService()
if isinstance(svc, SkeletonCompressor):
print("skeleton-protocol-check-ok")
else:
print(
"FAIL: SkeletonCompressorService does not satisfy"
" SkeletonCompressor protocol"
)
sys.exit(1)
def main() -> None:
"""Dispatch subcommand."""
if len(sys.argv) < 2:
@@ -173,15 +160,15 @@ def main() -> None:
cmd = sys.argv[1]
if cmd == "compress":
if len(sys.argv) < 3:
print("Usage: compress <ratio>")
print("Usage: compress <budget>")
sys.exit(1)
cmd_compress(sys.argv[2])
elif cmd == "validate-ratio-bounds":
cmd_validate_ratio_bounds()
elif cmd == "metadata-fields":
cmd_metadata_fields()
elif cmd == "validate-budget-bounds":
cmd_validate_budget_bounds()
elif cmd == "stable-ordering":
cmd_stable_ordering()
elif cmd == "protocol-check":
cmd_protocol_check()
else:
print(f"Unknown command: {cmd}")
sys.exit(1)
+21 -21
View File
@@ -8,39 +8,39 @@ Suite Teardown Cleanup Test Environment
${HELPER} ${CURDIR}/helper_skeleton_compressor.py
*** Test Cases ***
Compress Fragments At Ratio 0.5
[Documentation] Compress sample fragments at 50% ratio and verify output
${result}= Run Process ${PYTHON} ${HELPER} compress 0.5 cwd=${WORKSPACE}
Compress Fragments At Budget 500
[Documentation] Compress sample fragments with budget of 500 tokens and verify output
${result}= Run Process ${PYTHON} ${HELPER} compress 500 cwd=${WORKSPACE}
Log ${result.stdout}
Log ${result.stderr}
Should Be Equal As Integers ${result.rc} 0
Should Contain ${result.stdout} skeleton-compress-ok
Should Contain ${result.stdout} skeleton-compress-ok budget=500
Compress Fragments At Ratio 0.0
[Documentation] No compression — all fragments should survive
${result}= Run Process ${PYTHON} ${HELPER} compress 0.0 cwd=${WORKSPACE}
Compress Fragments At Full Budget
[Documentation] Full budget — all fragments should survive
${result}= Run Process ${PYTHON} ${HELPER} compress 1000 cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0
Should Contain ${result.stdout} skeleton-compress-ok
Should Contain ${result.stdout} skeleton-compress-ok budget=1000
Should Contain ${result.stdout} fragment_count=3
Compress Fragments At Ratio 1.0
[Documentation] Maximum compression — only top fragment should survive
${result}= Run Process ${PYTHON} ${HELPER} compress 1.0 cwd=${WORKSPACE}
Compress Fragments At Budget Zero
[Documentation] Zero budget — no fragments should survive
${result}= Run Process ${PYTHON} ${HELPER} compress 0 cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0
Should Contain ${result.stdout} skeleton-compress-ok
Should Contain ${result.stdout} fragment_count=1
Should Contain ${result.stdout} skeleton-compress-ok budget=0
Should Contain ${result.stdout} fragment_count=0
Validate Ratio Bounds
[Documentation] Out-of-range ratios must raise ValueError
${result}= Run Process ${PYTHON} ${HELPER} validate-ratio-bounds cwd=${WORKSPACE}
Validate Budget Bounds
[Documentation] Out-of-range budgets must raise ValueError
${result}= Run Process ${PYTHON} ${HELPER} validate-budget-bounds cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0
Should Contain ${result.stdout} skeleton-ratio-bounds-ok
Should Contain ${result.stdout} skeleton-budget-bounds-ok
Verify Metadata Fields
[Documentation] Metadata should record ratio, tokens, and decision IDs
${result}= Run Process ${PYTHON} ${HELPER} metadata-fields cwd=${WORKSPACE}
Verify Protocol Conformance
[Documentation] SkeletonCompressorService must satisfy the SkeletonCompressor protocol
${result}= Run Process ${PYTHON} ${HELPER} protocol-check cwd=${WORKSPACE}
Should Be Equal As Integers ${result.rc} 0
Should Contain ${result.stdout} skeleton-metadata-ok
Should Contain ${result.stdout} skeleton-protocol-check-ok
Verify Stable Fragment Ordering
[Documentation] Fragments with equal relevance must be ordered deterministically
+18
View File
@@ -49,3 +49,21 @@ Reject Invalid Skill YAML
Should Be Equal As Integers ${result.rc} 0
Should Contain ${result.stdout} skill-schema-expected-fail
Validate Spec-Compliant Skill YAML With skill: Wrapper Key
[Tags] tdd_issue tdd_issue_1472
[Documentation] Parse a spec-compliant YAML with cleveragents: header and skill: wrapper key
${wrapped_yaml}= Set Variable ${TEMPDIR}${/}wrapped_skill.yaml
${yaml_content}= Catenate SEPARATOR=\n
... cleveragents:
... ${SPACE}${SPACE}version: "1.0"
... skill:
... ${SPACE}${SPACE}name: local/wrapped-skill
... ${SPACE}${SPACE}description: "A wrapped skill"
...
Create File ${wrapped_yaml} ${yaml_content}
${result}= Run Process ${PYTHON} ${HELPER} validate ${wrapped_yaml} cwd=${WORKSPACE}
Log ${result.stdout}
Log ${result.stderr}
Should Be Equal As Integers ${result.rc} 0
Should Contain ${result.stdout} skill-schema-ok
@@ -255,9 +255,6 @@ if TYPE_CHECKING:
from cleveragents.application.services.session_service import (
PersistentSessionService as PersistentSessionService,
)
from cleveragents.application.services.skeleton_compressor import (
CompressionResult as CompressionResult,
)
from cleveragents.application.services.skeleton_compressor import (
SkeletonCompressorService as SkeletonCompressorService,
)
@@ -516,7 +513,6 @@ _LAZY_IMPORTS: dict[str, tuple[str, str]] = {
"resolve_severity": ("semantic_validation_service", "resolve_severity"),
"ServiceRetryWiring": ("service_retry_wiring", "ServiceRetryWiring"),
"PersistentSessionService": ("session_service", "PersistentSessionService"),
"CompressionResult": ("skeleton_compressor", "CompressionResult"),
"SkeletonCompressorService": ("skeleton_compressor", "SkeletonCompressorService"),
"SkillRegistryService": ("skill_registry_service", "SkillRegistryService"),
"CoordinationResult": ("strategy_coordinator", "CoordinationResult"),
@@ -493,6 +493,7 @@ class PreambleGenerator(Protocol):
) -> str | None: ...
@runtime_checkable
class SkeletonCompressor(Protocol):
"""Compress parent context into a skeleton for child plan inheritance.
@@ -3,105 +3,91 @@
The ``SkeletonCompressorService`` takes a collection of context
fragments from a parent plan and produces a compressed representation
suitable for propagation to child plans. The compression is governed
by ``skeleton_ratio``:
by ``skeleton_budget`` an absolute token count:
- **0.0** no compression; all fragments pass through unchanged.
- **1.0** maximum compression; only the single highest-relevance
fragment is kept (with minimal content).
- **0** no fragments are kept (empty result).
- **large value** all fragments pass through if they fit.
Fragments are sorted by ``relevance_score`` in **descending** order
(highest first). A stable secondary sort on ``fragment_id`` ensures
deterministic output for equal-relevance fragments.
The caller is responsible for converting a ``skeleton_ratio`` (fraction
of the total context budget) to an absolute ``skeleton_budget`` before
invoking ``compress()``. For example::
skeleton_budget = int(total_tokens * skeleton_ratio)
compressed = service.compress(fragments, skeleton_budget)
Based on ``docs/specification.md`` ACMS Skeleton section.
"""
from __future__ import annotations
from dataclasses import dataclass
from cleveragents.application.services.acms_service import SkeletonCompressor
from cleveragents.domain.models.core.context_fragment import ContextFragment
from cleveragents.domain.models.core.skeleton_metadata import SkeletonMetadata
# ---------------------------------------------------------------------------
# Public data structures
# ---------------------------------------------------------------------------
@dataclass(frozen=True, slots=True)
class CompressionResult:
"""Output of a skeleton compression pass.
Attributes:
fragments: The compressed (filtered/truncated) fragments,
ordered by relevance descending then fragment_id ascending.
metadata: Auditable metadata for the compression pass.
"""
fragments: tuple[ContextFragment, ...]
metadata: SkeletonMetadata
# ---------------------------------------------------------------------------
# Service
# ---------------------------------------------------------------------------
# Default skeleton_ratio when the caller does not specify one.
DEFAULT_SKELETON_RATIO: float = 0.15
class SkeletonCompressorService:
"""Compress context fragments for subplan context inheritance.
The service is stateless; all state lives in the arguments and
the returned ``CompressionResult``.
Implements the ``SkeletonCompressor`` protocol defined in
:mod:`cleveragents.application.services.acms_service`. The service
is stateless; all state lives in the arguments and the returned tuple.
The caller is responsible for computing ``skeleton_budget`` from a
ratio and the total available token count before invoking
:meth:`compress`.
"""
def compress(
self,
fragments: list[ContextFragment],
skeleton_ratio: float | None = None,
) -> CompressionResult:
"""Compress *fragments* according to *skeleton_ratio*.
fragments: tuple[ContextFragment, ...],
skeleton_budget: int,
) -> tuple[ContextFragment, ...]:
"""Compress *fragments* to fit within *skeleton_budget* tokens.
Args:
fragments: Context fragments to compress. Each must
have ``token_count >= 0`` and ``relevance_score`` in
``[0.0, 1.0]``.
skeleton_ratio: Compression ratio in ``[0.0, 1.0]``.
``None`` falls back to ``DEFAULT_SKELETON_RATIO``.
skeleton_budget: Maximum total token count for the returned
fragments. Must be a non-negative integer. When zero
an empty tuple is returned.
Returns:
A ``CompressionResult`` containing the filtered fragments
and associated ``SkeletonMetadata``.
A tuple of ``ContextFragment`` objects whose combined
``token_count`` does not exceed *skeleton_budget*, ordered
by relevance descending then ``fragment_id`` ascending.
Raises:
ValueError: If *skeleton_ratio* is outside ``[0.0, 1.0]``
or any fragment has invalid fields.
TypeError: If *fragments* is not a list.
TypeError: If *fragments* is not a tuple or *skeleton_budget*
is not an integer.
ValueError: If *skeleton_budget* is negative or any fragment
has invalid fields.
"""
# -- argument validation ------------------------------------------
if not isinstance(fragments, list):
raise TypeError(f"fragments must be a list, got {type(fragments).__name__}")
effective_ratio = (
skeleton_ratio if skeleton_ratio is not None else DEFAULT_SKELETON_RATIO
)
if not isinstance(effective_ratio, (int, float)):
if not isinstance(fragments, tuple):
raise TypeError(
f"skeleton_ratio must be a float, got {type(effective_ratio).__name__}"
f"fragments must be a tuple, got {type(fragments).__name__}"
)
if effective_ratio < 0.0 or effective_ratio > 1.0:
raise ValueError(
f"skeleton_ratio must be in [0.0, 1.0], got {effective_ratio}"
if not isinstance(skeleton_budget, int):
raise TypeError(
f"skeleton_budget must be an int, got {type(skeleton_budget).__name__}"
)
if skeleton_budget < 0:
raise ValueError(f"skeleton_budget must be >= 0, got {skeleton_budget}")
self._validate_fragments(fragments)
# -- compute totals -----------------------------------------------
original_tokens = sum(f.token_count for f in fragments)
if skeleton_budget == 0 or not fragments:
return ()
# -- stable sort: relevance desc, fragment_id asc -----------------
sorted_fragments = sorted(
@@ -110,35 +96,17 @@ class SkeletonCompressorService:
)
# -- select fragments within budget -------------------------------
kept = self._select_fragments(sorted_fragments, effective_ratio)
kept = self._select_fragments(sorted_fragments, skeleton_budget)
compressed_tokens = sum(f.token_count for f in kept)
source_ids = tuple(
f.metadata["source_decision_id"]
for f in kept
if "source_decision_id" in f.metadata
)
metadata = SkeletonMetadata(
ratio=effective_ratio,
original_tokens=original_tokens,
compressed_tokens=compressed_tokens,
source_decision_ids=source_ids,
)
return CompressionResult(
fragments=tuple(kept),
metadata=metadata,
)
return tuple(kept)
# ------------------------------------------------------------------
# Internal helpers
# ------------------------------------------------------------------
@staticmethod
def _validate_fragments(fragments: list[ContextFragment]) -> None:
"""Validate every fragment in the list.
def _validate_fragments(fragments: tuple[ContextFragment, ...]) -> None:
"""Validate every fragment in the tuple.
Raises:
TypeError: If an element is not a ``ContextFragment``.
@@ -165,31 +133,15 @@ class SkeletonCompressorService:
@staticmethod
def _select_fragments(
sorted_fragments: list[ContextFragment],
ratio: float,
budget: int,
) -> list[ContextFragment]:
"""Select which fragments to keep given the compression ratio.
"""Select which fragments to keep given the token *budget*.
When *ratio* is 0.0 every fragment is kept. When *ratio* is
1.0 only the single highest-relevance fragment survives (or
none if the input is empty). For intermediate values the
token budget is ``original_tokens * (1 - ratio)``; fragments
are added in relevance order until the budget is exhausted.
Fragments are added in relevance order (highest first) until the
budget is exhausted. At least one fragment is always included
when the input is non-empty, even if it exceeds the budget, to
ensure callers always receive some context.
"""
if not sorted_fragments:
return []
if ratio == 0.0:
return list(sorted_fragments)
original_tokens = sum(f.token_count for f in sorted_fragments)
# Budget: fraction of tokens to *keep*
budget = int(original_tokens * (1.0 - ratio))
# At maximum compression keep at most one fragment
if ratio == 1.0:
budget = 0
kept: list[ContextFragment] = []
used = 0
for frag in sorted_fragments:
@@ -198,11 +150,22 @@ class SkeletonCompressorService:
break
kept.append(frag)
used += frag.token_count
if used >= budget and budget > 0:
if used >= budget:
break
# At ratio 1.0, keep exactly the top fragment
if ratio == 1.0 and sorted_fragments:
return [sorted_fragments[0]]
return kept
# ---------------------------------------------------------------------------
# Structural subtype assertion — prevents future protocol drift
# ---------------------------------------------------------------------------
# This assertion verifies at import time that SkeletonCompressorService
# satisfies the SkeletonCompressor Protocol. If the protocol signature
# changes and the service is not updated, this will raise AssertionError
# immediately rather than failing silently at runtime.
assert isinstance(SkeletonCompressorService(), SkeletonCompressor), (
"SkeletonCompressorService does not satisfy the SkeletonCompressor protocol. "
"Ensure compress(fragments: tuple[ContextFragment, ...], skeleton_budget: int) "
"-> tuple[ContextFragment, ...] matches the protocol definition."
)
+58 -12
View File
@@ -38,7 +38,7 @@ code: |
|----------------------------|------------------------------------------|
| ``Config file error`` | File not found or not readable |
| ``Schema validation error``| YAML does not match Tool schema |
| ``Duplicate tool`` | Tool name already registered |
| ``Duplicate tool`` | Tool name already registered |
Based on implementation_plan.md -- Task C1.tool.cli.
"""
@@ -416,29 +416,75 @@ def list_tools(
console.print(format_output(data, fmt))
return
# Rich table
# Rich table — spec-compliant: Name, Type, Source, Read-Only, Writes
table = Table(title=f"Tools ({len(tools)} total)")
table.add_column("Name", style="cyan")
table.add_column("Type", style="blue")
table.add_column("Source", style="magenta")
table.add_column("Description", style="dim")
table.add_column("Timeout", justify="right")
table.add_column("Read-Only", justify="center", style="green")
table.add_column("Writes", justify="center", style="yellow")
read_only_count: int = 0
writes_count: int = 0
tool_count: int = 0
validation_count: int = 0
namespaces: set[str] = set()
for tool in tools:
spec = _tool_spec_dict(tool)
desc = str(spec.get("description", ""))
if len(desc) > 40:
desc = desc[:37] + "..."
name_val = str(spec.get("name", ""))
tool_type_val = str(spec.get("tool_type", "tool"))
source_val = str(spec.get("source", ""))
# Determine Read-Only / Writes from capability metadata
capability = spec.get("capability", {})
if isinstance(capability, dict):
is_read_only: bool = capability.get("read_only", False)
has_writes: bool = capability.get("writes", False)
else:
is_read_only = False
has_writes = False
read_only_str: str = "\u2713" if is_read_only else "\u2014"
writes_str: str = "\u2713" if has_writes else "\u2014"
table.add_row(
str(spec.get("name", "")),
str(spec.get("tool_type", "tool")),
str(spec.get("source", "")),
desc,
str(spec.get("timeout", 300)),
name_val,
tool_type_val,
source_val,
read_only_str,
writes_str,
)
# Accumulate summary statistics
namespaces.add(name_val.split("/", 1)[0] if "/" in name_val else name_val)
if tool_type_val == "validation":
validation_count += 1
else:
tool_count += 1
if is_read_only:
read_only_count += 1
if has_writes:
writes_count += 1
console.print(table)
# Summary panel
summary_lines = [
f" Total: {len(tools)}",
f" Tools: {tool_count}",
f" Validations: {validation_count}",
f" Read-Only: {read_only_count}",
f" Writes: {writes_count}",
f" Namespaces: {len(namespaces)}",
]
summary_panel = Panel(
"\n".join(summary_lines),
title="Summary",
expand=False,
)
console.print(summary_panel)
console.print(f"\n\u2713 OK {len(tools)} tools listed\n")
except CleverAgentsError as exc:
console.print(f"[red]Error:[/red] {exc.message}")
raise typer.Abort() from exc
+57 -4
View File
@@ -14,6 +14,7 @@ Based on v3_spec.md implementation plan Stage A4b / G5b.render.
from __future__ import annotations
import json
import sys
import time
from datetime import datetime
from enum import Enum, StrEnum
@@ -149,6 +150,58 @@ def _format_table(data: dict[str, Any] | list[dict[str, Any]]) -> str:
return buf.getvalue().rstrip("\n")
def _format_rich(data: dict[str, Any] | list[dict[str, Any]]) -> str:
"""Render data using the Rich materializer (ANSI-styled terminal output).
Delegates to :func:`format_output_session` with the ``rich`` strategy so
that the output is consistent with the newer session-based rendering path.
The data passed here has already been redacted by the caller.
"""
strategy = RichMaterializer()
with OutputSession(
format="rich", command="format_output", strategy=strategy
) as session:
if isinstance(data, list):
for idx, item in enumerate(data):
if isinstance(item, dict):
panel = session.panel(f"Item {idx + 1}")
for key, val in item.items():
panel.set_entry(key, str(_serialize_value(val)))
panel.close()
elif isinstance(data, dict):
panel = session.panel("Output")
for key, val in data.items():
panel.set_entry(key, str(_serialize_value(val)))
panel.close()
return strategy.get_output()
def _format_color(data: dict[str, Any] | list[dict[str, Any]]) -> str:
"""Render data using the Color materializer (ANSI-colored terminal output).
Delegates to :func:`format_output_session` with the ``color`` strategy so
that the output is consistent with the newer session-based rendering path.
The data passed here has already been redacted by the caller.
"""
strategy = ColorMaterializer()
with OutputSession(
format="color", command="format_output", strategy=strategy
) as session:
if isinstance(data, list):
for idx, item in enumerate(data):
if isinstance(item, dict):
panel = session.panel(f"Item {idx + 1}")
for key, val in item.items():
panel.set_entry(key, str(_serialize_value(val)))
panel.close()
elif isinstance(data, dict):
panel = session.panel("Output")
for key, val in data.items():
panel.set_entry(key, str(_serialize_value(val)))
panel.close()
return strategy.get_output()
def _redact_data(
data: dict[str, Any] | list[dict[str, Any]],
) -> dict[str, Any] | list[dict[str, Any]]:
@@ -283,8 +336,6 @@ def format_output(
The rendered string. For machine-readable formats the output
is written directly to stdout and an empty string is returned.
"""
import sys
t_start = time.monotonic()
safe_data = _redact_data(data)
fmt = format_type.lower()
@@ -316,9 +367,11 @@ def format_output(
if fmt == OutputFormat.TABLE.value:
return _format_table(safe_data)
if fmt == OutputFormat.RICH.value:
return _format_rich(safe_data)
if fmt == OutputFormat.COLOR.value:
return format_output_session(safe_data, fmt)
# ``rich`` and any unknown value fall back to JSON
return _format_color(safe_data)
# Unknown format: fall back to JSON
return _format_json(safe_data)
@@ -110,7 +110,8 @@ class LegacyDataMigrator:
(p for p in all_plans if p.name == plan_name), None
)
if existing_plan:
plan_id_map[plan_name] = existing_plan.id # type: ignore
assert existing_plan.id is not None
plan_id_map[plan_name] = existing_plan.id
continue
# Create new plan
+23 -7
View File
@@ -14,13 +14,17 @@ which defines a single ``resolve`` method returning a
## Built-in Handlers
| Handler | Resource Type(s) | Strategy |
|--------------------------|---------------------------|----------------------|
| ``GitCheckoutHandler`` | ``git-checkout`` | ``git_worktree`` |
| ``FsDirectoryHandler`` | ``fs-directory`` | ``copy_on_write`` |
| ``DevcontainerHandler`` | ``devcontainer-instance`` | ``snapshot`` |
| ``CloudResourceHandler`` | ``cloud-*``, ``aws-*`` | ``none`` |
| ``DatabaseHandler`` | ``postgres``, ``mysql`` | ``transaction`` |
- ``GitCheckoutHandler`` ``git-checkout`` (git_worktree)
- ``FsDirectoryHandler`` ``fs-directory`` (copy_on_write)
- ``DevcontainerHandler`` ``devcontainer-instance`` (snapshot)
- ``CloudResourceHandler`` ``cloud-*``, ``aws-*`` (none)
- ``DatabaseHandler`` ``postgres``, ``mysql`` (transaction)
- ``ContainerRuntimeHandler`` ``container-runtime`` (none)
- ``ContainerImageHandler`` ``container-image`` (none)
- ``ContainerChildHandler`` ``container-mount``, ``container-exec-env``,
``container-port`` (snapshot)
- ``ContainerVolumeHandler`` ``container-volume`` (snapshot)
- ``ContainerNetworkHandler`` ``container-network`` (none)
## Handler Resolution
@@ -30,6 +34,13 @@ dynamically imports the module and returns an instance.
"""
from cleveragents.resource.handlers.cloud import CloudResourceHandler
from cleveragents.resource.handlers.container import (
ContainerChildHandler,
ContainerImageHandler,
ContainerNetworkHandler,
ContainerRuntimeHandler,
ContainerVolumeHandler,
)
from cleveragents.resource.handlers.database import DatabaseResourceHandler
from cleveragents.resource.handlers.devcontainer import DevcontainerHandler
from cleveragents.resource.handlers.fs_directory import FsDirectoryHandler
@@ -54,6 +65,11 @@ __all__ = [
"AccessResult",
"CheckpointResult",
"CloudResourceHandler",
"ContainerChildHandler",
"ContainerImageHandler",
"ContainerNetworkHandler",
"ContainerRuntimeHandler",
"ContainerVolumeHandler",
"Content",
"DatabaseResourceHandler",
"DeleteResult",
@@ -0,0 +1,331 @@
"""Container infrastructure resource handlers for CleverAgents.
Implements the five handler classes referenced in
``_resource_registry_container.py`` for the seven built-in container
infrastructure resource types:
- ``ContainerRuntimeHandler`` -- for ``container-runtime``
- ``ContainerImageHandler`` -- for ``container-image``
- ``ContainerChildHandler`` -- for ``container-mount``, ``container-exec-env``,
``container-port`` (shared child handler)
- ``ContainerVolumeHandler`` -- for ``container-volume``
- ``ContainerNetworkHandler`` -- for ``container-network``
All handlers extend BaseResourceHandler and satisfy the ResourceHandler protocol.
Container resources use ``sandbox_strategy = "none"`` (or ``"snapshot"``
for child/volume types) because the container runtime itself provides
isolation. Actual container SDK operations are NOT implemented --
calling :meth:`resolve` raises :exc:`NotImplementedError` after basic
validation. This mirrors the pattern used by CloudResourceHandler.
Based on:
- src/cleveragents/application/services/_resource_registry_container.py
- docs/specification.md ~line 25096-25114 (container handler table)
- ADR-039: Container Resource Types
- Issue #2907: Container infrastructure resource types missing handler module
"""
from __future__ import annotations
import hashlib
import logging
from typing import Any
from cleveragents.domain.models.core.resource import Resource, SandboxStrategy
from cleveragents.infrastructure.sandbox.manager import SandboxManager
from cleveragents.resource.handlers._base import EMPTY_CONTENT_HASH, BaseResourceHandler
from cleveragents.resource.handlers.protocol import (
Content,
DeleteResult,
DiffResult,
WriteResult,
)
from cleveragents.tool.context import BoundResource
logger = logging.getLogger(__name__)
__all__ = [
"ContainerChildHandler",
"ContainerImageHandler",
"ContainerNetworkHandler",
"ContainerRuntimeHandler",
"ContainerVolumeHandler",
]
# ---------------------------------------------------------------------------
# Shared helpers
# ---------------------------------------------------------------------------
def _identity_hash(resource: Resource, algorithm: str = "sha256") -> str:
"""Compute an identity hash for a container resource.
The hash is based on the resource type name and location (e.g. socket
path, image reference, volume name, network name). Returns
:data:`EMPTY_CONTENT_HASH` if no location is set.
Args:
resource: The container resource.
algorithm: Hash algorithm name (default ``sha256``).
Returns:
Hex-encoded hash digest, or :data:`EMPTY_CONTENT_HASH`.
"""
if not resource.location:
return EMPTY_CONTENT_HASH
h = hashlib.new(algorithm)
h.update(resource.resource_type_name.encode("utf-8"))
h.update(b"\0")
h.update(resource.location.encode("utf-8"))
return h.hexdigest()
# ---------------------------------------------------------------------------
# Shared base for all container handlers
# ---------------------------------------------------------------------------
class _ContainerBaseHandler(BaseResourceHandler):
"""Shared base for all container infrastructure handlers.
Provides:
- ``resolve`` -- raises NotImplementedError (container sandbox
provisioning is not yet implemented).
- ``content_hash`` -- identity hash based on resource type + location.
- All CRUD and lifecycle stubs -- raise NotImplementedError.
Subclasses set ``_default_strategy`` and ``_type_label``.
"""
def resolve(
self,
*,
resource: Resource,
plan_id: str,
slot_name: str,
sandbox_manager: SandboxManager,
access: str = "read_only",
) -> BoundResource:
"""Raise -- container sandbox provisioning is not yet implemented.
Args:
resource: A container resource instance.
plan_id: The plan requesting the sandbox.
slot_name: Name of the tool resource slot being filled.
sandbox_manager: The sandbox lifecycle manager (unused).
access: Access mode (unused).
Raises:
NotImplementedError: Always.
"""
raise NotImplementedError(
f"Container resource sandbox provisioning is not yet implemented. "
f"Resource '{resource.resource_id}' "
f"(type={resource.resource_type_name}, "
f"plan={plan_id}, slot={slot_name})."
)
# -- CRUD stubs --------------------------------------------------------
def read(self, *, resource: Resource, path: str = "") -> Content:
"""Not supported for container resources."""
raise NotImplementedError(f"{self._type_label} handler does not support read()")
def write(self, *, resource: Resource, path: str, data: bytes) -> WriteResult:
"""Not supported for container resources."""
raise NotImplementedError(
f"{self._type_label} handler does not support write()"
)
def delete(self, *, resource: Resource, path: str = "") -> DeleteResult:
"""Not supported for container resources."""
raise NotImplementedError(
f"{self._type_label} handler does not support delete()"
)
def list_children(self, *, resource: Resource) -> list[str]:
"""Not supported for container resources."""
raise NotImplementedError(
f"{self._type_label} handler does not support list_children()"
)
def diff(self, *, resource: Resource, other_location: str) -> DiffResult:
"""Not supported for container resources."""
raise NotImplementedError(f"{self._type_label} handler does not support diff()")
def discover_children(self, *, resource: Resource) -> list[Resource]:
"""Not supported for container resources."""
raise NotImplementedError(
f"{self._type_label} handler does not support discover_children()"
)
# -- Lifecycle stubs ---------------------------------------------------
def create_sandbox(
self,
*,
resource: Resource,
plan_id: str,
sandbox_manager: SandboxManager,
) -> Any:
"""Not supported for container resources."""
raise NotImplementedError(
f"{self._type_label} handler does not support create_sandbox()"
)
def create_checkpoint(
self,
*,
resource: Resource,
plan_id: str,
sandbox_manager: SandboxManager,
phase: str = "execution",
) -> Any:
"""Not supported for container resources."""
raise NotImplementedError(
f"{self._type_label} handler does not support create_checkpoint()"
)
def rollback_to(
self,
*,
resource: Resource,
plan_id: str,
checkpoint_id: str,
sandbox_manager: SandboxManager,
) -> Any:
"""Not supported for container resources."""
raise NotImplementedError(
f"{self._type_label} handler does not support rollback_to()"
)
def project_access(
self,
*,
resource: Resource,
principal: str,
action: str = "read",
project_id: str = "",
) -> Any:
"""Not supported for container resources."""
raise NotImplementedError(
f"{self._type_label} handler does not support project_access()"
)
# -- Content hashing ---------------------------------------------------
def content_hash(
self,
resource: Resource,
*,
algorithm: str = "sha256",
) -> str:
"""Compute an identity hash for a container resource.
The hash is based on the resource type name and location.
Returns :data:`EMPTY_CONTENT_HASH` if no location is set.
Args:
resource: The container resource.
algorithm: Hash algorithm name (default ``sha256``).
Returns:
Hex-encoded hash digest, or :data:`EMPTY_CONTENT_HASH`.
"""
return _identity_hash(resource, algorithm)
# ---------------------------------------------------------------------------
# Concrete handler classes
# ---------------------------------------------------------------------------
class ContainerRuntimeHandler(_ContainerBaseHandler):
"""Handler for ``container-runtime`` resource types.
A container runtime resource represents a container engine
(Docker, Podman, containerd, etc.) identified by its socket path
or remote endpoint URL.
Sandbox provisioning is NOT implemented -- calling :meth:`resolve`
raises :exc:`NotImplementedError`.
This handler satisfies the ResourceHandler protocol.
"""
_default_strategy = SandboxStrategy.NONE
_type_label = "container-runtime"
class ContainerImageHandler(_ContainerBaseHandler):
"""Handler for ``container-image`` resource types.
A container image resource represents an immutable container image
identified by tag and/or digest (e.g. ``ubuntu:22.04``,
``ghcr.io/org/app@sha256:...``).
Sandbox provisioning is NOT implemented -- calling :meth:`resolve`
raises :exc:`NotImplementedError`.
This handler satisfies the ResourceHandler protocol.
"""
_default_strategy = SandboxStrategy.NONE
_type_label = "container-image"
class ContainerChildHandler(_ContainerBaseHandler):
"""Shared handler for container child resource types.
Used by three resource types that represent child components of a
running container instance:
- ``container-mount`` -- bind mount or volume mount inside a container
- ``container-exec-env`` -- execution environment variables and config
- ``container-port`` -- port mapping between host and container
These resources are not user-addable (``user_addable = False``) and
are discovered automatically from a running container instance.
Sandbox provisioning is NOT implemented -- calling :meth:`resolve`
raises :exc:`NotImplementedError`.
This handler satisfies the ResourceHandler protocol.
"""
_default_strategy = SandboxStrategy.SNAPSHOT
_type_label = "container-child"
class ContainerVolumeHandler(_ContainerBaseHandler):
"""Handler for ``container-volume`` resource types.
A container volume resource represents a named container volume
managed by the runtime engine (Docker, Podman, etc.).
Sandbox provisioning is NOT implemented -- calling :meth:`resolve`
raises :exc:`NotImplementedError`.
This handler satisfies the ResourceHandler protocol.
"""
_default_strategy = SandboxStrategy.SNAPSHOT
_type_label = "container-volume"
class ContainerNetworkHandler(_ContainerBaseHandler):
"""Handler for ``container-network`` resource types.
A container network resource represents a container network
(bridge, host, overlay, macvlan, or none).
Sandbox provisioning is NOT implemented -- calling :meth:`resolve`
raises :exc:`NotImplementedError`.
This handler satisfies the ResourceHandler protocol.
"""
_default_strategy = SandboxStrategy.NONE
_type_label = "container-network"
+56 -1
View File
@@ -6,6 +6,8 @@ Provides :class:`SkillConfigSchema`, a Pydantic model that:
* Normalizes camelCase keys to snake_case before validation.
* Interpolates ``${ENV_VAR}`` placeholders from environment variables.
* Produces clear, actionable error messages for every validation failure.
* Handles the spec-required ``skill:`` wrapper key and ``cleveragents:``
metadata block for forward-compatible YAML parsing.
Schema definition lives in ``docs/schema/skill.schema.yaml``.
Example configs live under ``examples/skills/``.
@@ -392,6 +394,30 @@ class SkillConfigSchema(BaseModel):
def from_yaml(cls, yaml_string: str) -> SkillConfigSchema:
"""Parse and validate a skill YAML string.
Handles both the spec-required YAML format with a top-level
``skill:`` wrapper key and optional ``cleveragents:`` metadata
block, as well as the legacy flat format for backward
compatibility.
Spec-compliant YAML:
.. code-block:: yaml
cleveragents:
version: "1.0"
skill:
name: local/my-skill
tools:
- name: builtin/shell_execute
Flat (legacy) YAML, also supported:
.. code-block:: yaml
name: local/my-skill
tools:
- name: builtin/shell_execute
Args:
yaml_string: Raw YAML content.
@@ -399,7 +425,8 @@ class SkillConfigSchema(BaseModel):
Validated ``SkillConfigSchema`` instance.
Raises:
ValueError: If the YAML is not a mapping or is empty.
ValueError: If the YAML is not a mapping or is empty,
or if ``skill:`` has an invalid value.
pydantic.ValidationError: If schema validation fails.
"""
if yaml_string is None:
@@ -415,7 +442,35 @@ class SkillConfigSchema(BaseModel):
f"Skill YAML must be a mapping (key: value), got {type(raw).__name__}."
)
# ── Normalize camelCase keys ────────────────────────────
normalized = _normalize_keys(raw)
# ── Strip optional cleveragents metadata header ─────────
normalized.pop("cleveragents", None)
# ── Unwrap skill: wrapper key if present ────────────────
if "skill" in normalized:
wrapper = normalized.pop("skill")
if wrapper is None:
raise ValueError(
"skill: key is present but empty. "
"Provide a skill mapping with at least a 'name' field."
)
if not isinstance(wrapper, dict):
raise ValueError(
f"skill: key must contain a mapping (dict), "
f"got {type(wrapper).__name__}. "
"Wrap the skill configuration as: skill:\\n <your config here>"
)
# Merge wrapper content with normalized keys.
# Wrapper values take precedence so the spec-compliant
# format works reliably even if both formats overlap.
wrapper_dict: dict[str, Any] = wrapper
for key, value in wrapper_dict.items():
snake_key = _CAMEL_TO_SNAKE.get(key, key)
normalized[snake_key] = value
# ── Interpolate environment variables ───────────────────
interpolated = _interpolate_env_vars(normalized)
return cls.model_validate(interpolated)
-2
View File
@@ -574,8 +574,6 @@ validate_spawn # noqa: B018, F821
SkeletonMetadata # noqa: B018, F821
SkeletonCompressorService # noqa: B018, F821
ContextFragment # noqa: B018, F821
CompressionResult # noqa: B018, F821
DEFAULT_SKELETON_RATIO # noqa: B018, F821
skeleton_compressor_service # noqa: B018, F821
skeleton_metadata # noqa: B018, F821
source_decision_ids # noqa: B018, F821