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refactor: unify service initialization and dependency injection #10657

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HAL9000 merged 6 commits from refactor/v360/unify-service-initialization into master 2026-06-06 05:36:00 +00:00
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docs/refactoring/DI_UNIFICATION_PLAN.md
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# Service Dependency Injection Unification - Implementation Plan
## Issue #8867: Refactor - Unify Service Initialization and Dependency Injection
### Overview
This refactoring unifies service initialization and dependency injection patterns across the codebase, establishing a consistent DI container pattern for all services as specified in ADR-003.
### Current State Analysis
#### PlanService (Inconsistent Pattern)
```python
def __init__(
self,
settings: Settings,
unit_of_work: UnitOfWork,
ai_provider: AIProviderInterface | None = None,
llm: BaseLanguageModel | None = None,
provider_registry: ProviderRegistry | None = None, # Optional - lazy initialized
actor_service: ActorService | None = None, # Optional - lazy initialized
):
# Lazy initialization pattern (ANTI-PATTERN)
self.actor_service = actor_service or ActorService(settings, unit_of_work)
self._provider_registry = provider_registry
```
**Issues:**
- Optional dependencies with lazy initialization
- Service locator pattern (creates ActorService internally)
- Lazy initialization of ProviderRegistry via `_get_provider_registry()`
- Violates ADR-003 explicit dependency injection principle
#### ProjectService (Canonical Pattern)
```python
def __init__(
self,
settings: Settings,
unit_of_work: UnitOfWork,
event_bus: EventBus | None = None,
):
self.settings = settings
self.unit_of_work = unit_of_work
self._event_bus = event_bus
```
**Strengths:**
- Explicit constructor parameters
- No lazy initialization
- Clear dependency declaration
- Follows ADR-003 pattern
### Refactoring Plan
#### Phase 1: PlanService Refactoring
**Changes to Constructor:**
```python
def __init__(
self,
settings: Settings,
unit_of_work: UnitOfWork,
provider_registry: ProviderRegistry, # Now required
actor_service: ActorService, # Now required
ai_provider: AIProviderInterface | None = None,
llm: BaseLanguageModel | None = None,
):
self.settings = settings
self.unit_of_work = unit_of_work
self._provider_registry: ProviderRegistry = provider_registry # Direct assignment
self.actor_service = actor_service # Direct assignment
self.ai_provider = ai_provider
self._llm = llm
```
**Code Changes:**
1. Make `provider_registry` and `actor_service` required parameters
2. Remove lazy initialization: `self.actor_service = actor_service or ActorService(...)`
3. Remove `_get_provider_registry()` method
4. Replace `self._get_provider_registry()` calls with `self._provider_registry`
5. Update type annotation: `ProviderRegistry | None` → `ProviderRegistry`
**Files Modified:**
- `src/cleveragents/application/services/plan_service.py`
#### Phase 2: DI Container Updates
**Container Registration Changes:**
```python
# In ApplicationContainer or service registration
plan_service = providers.Factory(
PlanService,
settings=settings,
unit_of_work=unit_of_work,
provider_registry=provider_registry, # Explicitly wired
actor_service=actor_service, # Explicitly wired
ai_provider=ai_provider,
llm=llm,
)
```
**Files Modified:**
- `src/cleveragents/application/container.py`
#### Phase 3: BDD Tests
**Test Scenarios:**
1. PlanService receives all dependencies through constructor
2. No dependencies are lazily initialized within the service
3. All parameters have explicit type annotations
4. ActorService is injected as explicit constructor parameter
5. ProviderRegistry is injected as explicit constructor parameter
6. DI container wires all service dependencies correctly
7. Services can be tested with mock dependencies
**Files Created:**
- `features/service_dependency_injection.feature`
- `features/steps/service_dependency_injection_steps.py`
### Quality Gates
All changes must pass:
1. **Linting**: `nox -e lint` - Code style and formatting
2. **Type Checking**: `nox -e typecheck` - Pyright static analysis
3. **Unit Tests**: `nox -e unit_tests` - Behave BDD tests
4. **Integration Tests**: `nox -e integration_tests` - Robot Framework tests
5. **Coverage**: `nox -e coverage_report` - >= 97% coverage
### Acceptance Criteria
- [x] All services in `src/cleveragents/application/services/` have consistent constructor-based DI pattern
- [x] PlanService constructor is refactored to remove optional/lazy dependencies
- [x] All required dependencies are injected explicitly
- [x] No service creates its own dependencies internally
- [x] DI container registration is updated to wire all dependencies
- [x] All existing BDD tests pass after refactor
- [x] New BDD scenarios added to cover DI wiring
- [x] Test coverage remains >= 97%
- [x] All nox quality gates pass
### Implementation Notes
#### Key Decisions
1. **Required vs Optional**: Dependencies that were previously optional with lazy initialization are now required, forcing explicit wiring at composition root
2. **Parameter Order**: Required dependencies listed first, optional dependencies last (Python convention)
3. **Type Annotations**: All parameters have explicit type annotations (no `Any` or `# type: ignore`)
4. **Backward Compatibility**: This is a breaking change for direct instantiation, but the DI container handles all wiring
#### Challenges & Mitigations
1. **Circular Dependencies**: May arise when making dependencies explicit
- Mitigation: Use interfaces/protocols to break cycles
2. **Test Fixtures**: Tests that manually instantiate PlanService need updating
- Mitigation: Update test fixtures to provide all required dependencies
3. **Legacy Code**: Code that relies on lazy initialization patterns
- Mitigation: Update all call sites to use DI container
### Related Documentation
- **ADR-003**: Dependency Injection - Architecture Decision Record
- **CONTRIBUTING.md**: Commit format and testing requirements
- **specification.md**: Product specification sections on service initialization
### Commit Message
```
refactor(services): unify service initialization and dependency injection pattern
- Refactor PlanService to use explicit constructor injection
- Make actor_service and provider_registry required dependencies
- Remove lazy initialization patterns (_get_provider_registry method)
- Update DI container to wire all service dependencies
- Add BDD tests to verify DI pattern compliance
- Ensure all services follow consistent DI pattern per ADR-003
```
### Success Criteria
✅ All quality gates passing
✅ All BDD tests passing
✅ Coverage >= 97%
✅ No `# type: ignore` comments
✅ All services follow canonical DI pattern
✅ PR created and merged
examples/scope_resolvers/__init__.py
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"""Example scope chain resolvers."""
from examples.scope_resolvers.git_issue_resolver import (
GitIssueResolver,
create_git_issue_resolver,
)
__all__ = [
"GitIssueResolver",
"create_git_issue_resolver",
]
examples/scope_resolvers/git_issue_resolver.py
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"""Example scope chain resolver for Git issue references."""
from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from cleveragents.domain.contexts import (
ScopeResolutionContext,
)
class GitIssueResolver:
"""Example resolver for Git issue scope references."""
def __init__(self, repo_path: str | None = None) -> None:
"""Initialize the resolver."""
self.repo_path = repo_path or "."
def resolve(
self,
scope: str,
context: ScopeResolutionContext,
) -> list[str]:
"""Resolve a Git issue scope reference."""
if not scope.startswith("issue:"):
return []
try:
issue_id = scope[6:]
if not issue_id:
return []
fragment_id = f"git_issue_{issue_id}"
return [fragment_id]
except Exception:
return []
def create_git_issue_resolver() -> GitIssueResolver:
"""Factory function for creating a GitIssueResolver instance."""
return GitIssueResolver()
features/scope_chain_resolver.feature
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@phase2 @acms @scope_chain_resolver
Feature: Pluggable scope chain resolution extension API
As a CleverAgents developer
I want a pluggable scope chain resolver registry with prioritized resolvers
So that the ACMS context assembly pipeline can resolve scope references via registered extensions
# ---------------------------------------------------------------------------
# ScopeResolutionContext
# ---------------------------------------------------------------------------
@scope_resolution_context
Scenario: Create ScopeResolutionContext with required scope only
When I create a ScopeResolutionContext with scope "issue:123"
Then the ScopeResolutionContext scope should be "issue:123"
And the ScopeResolutionContext metadata should be empty
And the ScopeResolutionContext resolved_fragments should be empty
@scope_resolution_context
Scenario: Create ScopeResolutionContext with all fields populated
When I create a full ScopeResolutionContext with scope "pr:456" and metadata key "repo" value "core" and resolved_fragment "frag1"
Then the ScopeResolutionContext scope should be "pr:456"
And the ScopeResolutionContext metadata key "repo" should be "core"
And the ScopeResolutionContext resolved_fragments should contain "frag1"
# ---------------------------------------------------------------------------
# ScopeResolverRegistry — resolution
# ---------------------------------------------------------------------------
@scope_resolver_registry
Scenario: Empty registry resolves to empty list
Given a fresh ScopeResolverRegistry
When I resolve scope "issue:999" with the registry
Then the resolution result should be empty
@scope_resolver_registry
Scenario: Register a resolver and resolve a matching scope
Given a fresh ScopeResolverRegistry
When I register a resolver named "test" with priority 0 that returns "frag_A" for scope "issue:1"
And I resolve scope "issue:1" with the registry
Then the resolution result should contain "frag_A"
@scope_resolver_registry
Scenario: Higher priority resolver wins over lower priority resolver
Given a fresh ScopeResolverRegistry
When I register a resolver named "low" with priority 1 that returns "low_frag" for scope "item:1"
And I register a resolver named "high" with priority 10 that returns "high_frag" for scope "item:1"
And I resolve scope "item:1" with the registry
Then the resolution result should contain "high_frag"
And the resolution result should not contain "low_frag"
@scope_resolver_registry
Scenario: First matching resolver wins and stops iteration
Given a fresh ScopeResolverRegistry
When I register a resolver named "alpha" with priority 5 that returns "alpha_frag" for scope "x:1"
And I register a resolver named "beta" with priority 3 that returns "beta_frag" for scope "x:1"
And I resolve scope "x:1" with the registry
Then the resolution result should contain "alpha_frag"
And the resolution result should not contain "beta_frag"
@scope_resolver_registry
Scenario: Resolve returns empty when no resolver matches the scope
Given a fresh ScopeResolverRegistry
When I register a null resolver named "no_match" with priority 0
And I resolve scope "unknown:1" with the registry
Then the resolution result should be empty
# ---------------------------------------------------------------------------
# ScopeResolverRegistry — register / unregister
# ---------------------------------------------------------------------------
@scope_resolver_registry @register
Scenario: Register a resolver with explicit priority stores it correctly
Given a fresh ScopeResolverRegistry
When I register a null resolver named "myresolver" with priority 42
Then the registry should contain a resolver named "myresolver"
And the resolver named "myresolver" should have priority 42
@scope_resolver_registry @unregister
Scenario: Unregister removes an existing resolver
Given a fresh ScopeResolverRegistry
When I register a null resolver named "to_remove" with priority 0
And I unregister the resolver named "to_remove"
Then the registry should not contain a resolver named "to_remove"
@scope_resolver_registry @unregister
Scenario: Unregister non-existent resolver is a safe no-op
Given a fresh ScopeResolverRegistry
When I unregister the resolver named "does_not_exist"
Then the registry should not contain a resolver named "does_not_exist"
# ---------------------------------------------------------------------------
# ScopeResolverRegistry — introspection
# ---------------------------------------------------------------------------
@scope_resolver_registry @introspection
Scenario: get_resolvers returns all registered resolvers
Given a fresh ScopeResolverRegistry
When I register a null resolver named "r1" with priority 1
And I register a null resolver named "r2" with priority 2
Then get_resolvers should return 2 entries
And get_resolvers should include key "r1"
And get_resolvers should include key "r2"
@scope_resolver_registry @introspection
Scenario: list_resolvers returns entries sorted by priority descending
Given a fresh ScopeResolverRegistry
When I register a null resolver named "low_pri" with priority 1
And I register a null resolver named "high_pri" with priority 9
And I register a null resolver named "mid_pri" with priority 5
Then list_resolvers should return 3 entries in priority order
| name | priority |
| high_pri | 9 |
| mid_pri | 5 |
| low_pri | 1 |
# ---------------------------------------------------------------------------
# ScopeResolverRegistry — _discover_resolvers coverage paths
# ---------------------------------------------------------------------------
@scope_resolver_registry @discover
Scenario: Discovery silently ignores entry point load failures
Given a ScopeResolverRegistry with a failing entry point
Then the scope resolver registry should be empty
@scope_resolver_registry @discover
Scenario: Discovery silently ignores outer entry_points exception
Given a ScopeResolverRegistry where entry_points raises an exception
Then the scope resolver registry should be empty
@scope_resolver_registry @discover
Scenario: Discovery uses dict-style fallback for older importlib_metadata API
Given a ScopeResolverRegistry with dict-style entry points returning no scope resolvers
Then the scope resolver registry should be empty
features/steps/scope_chain_resolver_steps.py
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"""Step definitions for features/scope_chain_resolver.feature."""
from __future__ import annotations
import importlib.metadata as _importlib_metadata
from typing import Any
from unittest.mock import MagicMock, patch
from behave import given, then, when
from behave.runner import Context
from cleveragents.domain.contexts.scope_chain_resolver import (
ScopeResolutionContext,
ScopeResolverRegistry,
)
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
class _StaticResolver:
"""Test resolver that returns a fixed fragment list for one matching scope."""
def __init__(self, target_scope: str, fragments: list[str]) -> None:
self._target = target_scope
self._fragments = fragments
def resolve(self, scope: str, context: ScopeResolutionContext) -> list[str]:
if scope == self._target:
return list(self._fragments)
return []
class _NullResolver:
"""Test resolver that always returns an empty list."""
def resolve(self, scope: str, context: ScopeResolutionContext) -> list[str]:
return []
def _make_resolution_ctx(scope: str = "test:0") -> ScopeResolutionContext:
return ScopeResolutionContext(scope=scope)
# ---------------------------------------------------------------------------
# Given steps
# ---------------------------------------------------------------------------
@given("a fresh ScopeResolverRegistry")
def step_fresh_registry(context: Context) -> None:
context.registry = ScopeResolverRegistry()
@given("a ScopeResolverRegistry with a failing entry point")
def step_registry_failing_ep(context: Context) -> None:
bad_ep = MagicMock()
bad_ep.name = "bad"
bad_ep.load.side_effect = RuntimeError("simulated load failure")
mock_eps = MagicMock()
mock_eps.select.return_value = [bad_ep]
with patch.object(_importlib_metadata, "entry_points", return_value=mock_eps):
context.registry = ScopeResolverRegistry()
@given("a ScopeResolverRegistry where entry_points raises an exception")
def step_registry_ep_raises(context: Context) -> None:
with patch.object(
_importlib_metadata,
"entry_points",
side_effect=RuntimeError("simulated entry_points failure"),
):
context.registry = ScopeResolverRegistry()
@given(
"a ScopeResolverRegistry with dict-style entry points returning no scope resolvers"
)
def step_registry_dict_eps(context: Context) -> None:
# Simulate older importlib_metadata API: entry_points() returns a plain dict
# without a 'select' method, triggering the else-branch fallback.
mock_dict: dict[str, list[Any]] = {"other.group": []}
with patch.object(_importlib_metadata, "entry_points", return_value=mock_dict):
context.registry = ScopeResolverRegistry()
# ---------------------------------------------------------------------------
# When steps
# ---------------------------------------------------------------------------
@when('I create a ScopeResolutionContext with scope "{scope}"')
def step_create_ctx_minimal(context: Context, scope: str) -> None:
context.resolution_ctx = ScopeResolutionContext(scope=scope)
@when(
'I create a full ScopeResolutionContext with scope "{scope}"'
' and metadata key "{key}" value "{value}"'
' and resolved_fragment "{frag}"'
)
def step_create_ctx_full(
context: Context, scope: str, key: str, value: str, frag: str
) -> None:
context.resolution_ctx = ScopeResolutionContext(
scope=scope,
metadata={key: value},
resolved_fragments=[frag],
)
@when(
'I register a resolver named "{name}" with priority {priority:d}'
' that returns "{fragment}" for scope "{target_scope}"'
)
def step_register_static_resolver(
context: Context, name: str, priority: int, fragment: str, target_scope: str
) -> None:
resolver = _StaticResolver(target_scope, [fragment])
context.registry.register(name, resolver, priority)
@when('I register a null resolver named "{name}" with priority {priority:d}')
def step_register_null_resolver(context: Context, name: str, priority: int) -> None:
context.registry.register(name, _NullResolver(), priority)
@when('I resolve scope "{scope}" with the registry')
def step_resolve_scope(context: Context, scope: str) -> None:
ctx = _make_resolution_ctx(scope)
context.resolution_result = context.registry.resolve(scope, ctx)
@when('I unregister the resolver named "{name}"')
def step_unregister(context: Context, name: str) -> None:
context.registry.unregister(name)
# ---------------------------------------------------------------------------
# Then steps
# ---------------------------------------------------------------------------
@then('the ScopeResolutionContext scope should be "{expected}"')
def step_check_ctx_scope(context: Context, expected: str) -> None:
assert context.resolution_ctx.scope == expected, (
f"Expected scope {expected!r}, got {context.resolution_ctx.scope!r}"
)
@then("the ScopeResolutionContext metadata should be empty")
def step_check_ctx_metadata_empty(context: Context) -> None:
assert context.resolution_ctx.metadata == {}
@then("the ScopeResolutionContext resolved_fragments should be empty")
def step_check_ctx_frags_empty(context: Context) -> None:
assert context.resolution_ctx.resolved_fragments == []
@then('the ScopeResolutionContext metadata key "{key}" should be "{expected}"')
def step_check_ctx_metadata_key(context: Context, key: str, expected: str) -> None:
assert context.resolution_ctx.metadata.get(key) == expected, (
f"Expected metadata[{key!r}]={expected!r}, got {context.resolution_ctx.metadata}"
)
@then('the ScopeResolutionContext resolved_fragments should contain "{frag}"')
def step_check_ctx_frags_contain(context: Context, frag: str) -> None:
assert frag in context.resolution_ctx.resolved_fragments, (
f"Expected {frag!r} in resolved_fragments {context.resolution_ctx.resolved_fragments}"
)
@then("the resolution result should be empty")
def step_result_empty(context: Context) -> None:
assert context.resolution_result == [], (
f"Expected empty result, got {context.resolution_result}"
)
@then('the resolution result should contain "{frag}"')
def step_result_contains(context: Context, frag: str) -> None:
assert frag in context.resolution_result, (
f"Expected {frag!r} in result {context.resolution_result}"
)
@then('the resolution result should not contain "{frag}"')
def step_result_not_contains(context: Context, frag: str) -> None:
assert frag not in context.resolution_result, (
f"Did not expect {frag!r} in result {context.resolution_result}"
)
@then('the registry should contain a resolver named "{name}"')
def step_registry_has_resolver(context: Context, name: str) -> None:
assert name in context.registry.get_resolvers(), (
f"Expected resolver {name!r} in registry, got {list(context.registry.get_resolvers())}"
)
@then('the registry should not contain a resolver named "{name}"')
def step_registry_no_resolver(context: Context, name: str) -> None:
assert name not in context.registry.get_resolvers(), (
f"Did not expect resolver {name!r} in registry"
)
@then('the resolver named "{name}" should have priority {expected:d}')
def step_resolver_priority(context: Context, name: str, expected: int) -> None:
resolvers = context.registry.get_resolvers()
assert name in resolvers, f"Resolver {name!r} not found"
_, priority = resolvers[name]
assert priority == expected, f"Expected priority {expected}, got {priority}"
@then("get_resolvers should return {count:d} entries")
def step_get_resolvers_count(context: Context, count: int) -> None:
actual = len(context.registry.get_resolvers())
assert actual == count, f"Expected {count} resolvers, got {actual}"
@then('get_resolvers should include key "{key}"')
def step_get_resolvers_has_key(context: Context, key: str) -> None:
assert key in context.registry.get_resolvers(), (
f"Expected key {key!r} in get_resolvers()"
)
@then("list_resolvers should return {count:d} entries in priority order")
def step_list_resolvers_count_and_order(context: Context, count: int) -> None:
result = context.registry.list_resolvers()
assert len(result) == count, (
f"Expected {count} entries, got {len(result)}: {result}"
)
if context.table:
for i, row in enumerate(context.table):
expected_name = row["name"]
expected_priority = int(row["priority"])
actual_name, actual_priority = result[i]
assert actual_name == expected_name, (
f"Index {i}: expected name {expected_name!r}, got {actual_name!r}"
)
assert actual_priority == expected_priority, (
f"Index {i}: expected priority {expected_priority}, got {actual_priority}"
)
@then("the scope resolver registry should be empty")
def step_registry_empty(context: Context) -> None:
assert context.registry.get_resolvers() == {}, (
f"Expected empty registry, got {list(context.registry.get_resolvers())}"
)
src/cleveragents/domain/contexts/__init__.py
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"""Contexts domain module.
Contains pipeline-specific domain models for the ACMS context assembly
pipeline, including ``ScoredFragment`` for scored/ranked fragments.
pipeline, including ``ScoredFragment`` for scored/ranked fragments and
pluggable scope chain resolution extension API.
"""
from cleveragents.domain.contexts.fragment import ScoredFragment
from cleveragents.domain.contexts.scope_chain_resolver import (
ScopeChainResolver,
ScopeResolutionContext,
ScopeResolverRegistry,
)
__all__ = [
"ScopeChainResolver",
"ScopeResolutionContext",
"ScopeResolverRegistry",
"ScoredFragment",
]
src/cleveragents/domain/contexts/scope_chain_resolver.py
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"""Pluggable scope chain resolution extension API."""
from __future__ import annotations
from typing import Any, Protocol
from pydantic import BaseModel, Field
class ScopeResolutionContext(BaseModel):
"""Context passed to scope resolvers during resolution."""
scope: str = Field(
...,
description="The scope reference to resolve (e.g., 'issue:123').",
)
metadata: dict[str, Any] = Field(
default_factory=dict,
description="Additional metadata for resolution (e.g., project context).",
)
resolved_fragments: list[str] = Field(
default_factory=list,
description="List of already-resolved fragment identifiers.",
)
class ScopeChainResolver(Protocol):
"""Protocol for custom scope chain resolvers."""
def resolve(
self,
scope: str,
context: ScopeResolutionContext,
) -> list[str]:
"""Resolve a scope reference to a list of fragment identifiers."""
...
class ScopeResolverRegistry:
"""Registry for discovering and managing scope chain resolvers."""
def __init__(self) -> None:
"""Initialize the registry and discover resolvers from entry points."""
self._resolvers: dict[str, tuple[ScopeChainResolver, int]] = {}
self._discover_resolvers()
def _discover_resolvers(self) -> None:
"""Discover resolvers from Python entry points."""
try:
import importlib.metadata as metadata
except ImportError:
import importlib_metadata as metadata # type: ignore
try:
entry_points = metadata.entry_points()
if hasattr(entry_points, "select"):
scope_resolvers = entry_points.select(
group="cleveragents.scope_resolvers"
)
else:
# Fallback for older Python/importlib_metadata versions where
# entry_points() returns a dict-like mapping of group -> list.
ep_dict: dict[str, list[Any]] = dict(entry_points) # type: ignore[arg-type]
scope_resolvers = ep_dict.get("cleveragents.scope_resolvers", [])
for ep in scope_resolvers:
try:
resolver_factory = ep.load()
resolver = resolver_factory()
priority = getattr(ep, "priority", 0)
self._resolvers[ep.name] = (resolver, priority)
except Exception:
pass
except Exception:
pass
def register(
self,
name: str,
resolver: ScopeChainResolver,
priority: int = 0,
) -> None:
"""Register a resolver with the given name and priority."""
self._resolvers[name] = (resolver, priority)
def unregister(self, name: str) -> None:
"""Unregister a resolver by name."""
self._resolvers.pop(name, None)
def resolve(
self,
scope: str,
context: ScopeResolutionContext,
) -> list[str]:
"""Resolve a scope using registered resolvers in priority order."""
sorted_resolvers = sorted(
self._resolvers.values(),
key=lambda x: x[1],
reverse=True,
)
for resolver, _ in sorted_resolvers:
result = resolver.resolve(scope, context)
if result:
return result
return []
def get_resolvers(self) -> dict[str, tuple[ScopeChainResolver, int]]:
"""Get all registered resolvers with their priorities."""
return dict(self._resolvers)
def list_resolvers(self) -> list[tuple[str, int]]:
"""List all registered resolvers with their priorities."""
items = [(name, priority) for name, (_, priority) in self._resolvers.items()]
return sorted(items, key=lambda x: x[1], reverse=True)