ed
8f11340b38
Per post_module_taxonomy_de_cruft_20260627 Phase 2 (FR7). Each
'from src.models import X' for a moved class is rewritten to
'from src.<destination> import X':
Ticket, Track, WorkerContext, TrackState, TrackMetadata,
ThinkingSegment, EMPTY_TRACK_STATE -> src.mma
ProjectContext, ProjectMeta, ProjectOutput, ProjectFiles,
ProjectScreenshots, ProjectDiscussion, EMPTY_PROJECT_CONTEXT -> src.project
FileItem, Preset, ContextPreset, ContextFileEntry,
NamedViewPreset -> src.project_files
Tool, ToolPreset -> src.tool_presets
BiasProfile -> src.tool_bias
TextEditorConfig, ExternalEditorConfig,
EMPTY_TEXT_EDITOR_CONFIG -> src.external_editor
Persona -> src.personas
WorkspaceProfile -> src.workspace_manager
MCPServerConfig, MCPConfiguration, VectorStoreConfig,
RAGConfig, load_mcp_config -> src.mcp_client
NOT touched (kept on src.models; Phase 3 or Phase 4 will move them):
GenerateRequest, ConfirmRequest, DEFAULT_TOOL_CATEGORIES, Metadata, PROVIDERS
Migration was performed by the one-time script
scripts/tier2/artifacts/post_module_taxonomy_de_cruft_20260627/migrate_imports.py
which uses a class-to-module map and re.sub() to rewrite each
'from src.models import X' line.
Total: 85 import lines rewritten across 71 files.
Note: this commit depends on the v2 SHIPPED work
(origin/tier2/module_taxonomy_refactor_20260627) being merged into
this branch NEXT. On master (without the v2 SHIPPED commits), the
destination modules do not exist and these imports would fail.
48 lines
1.7 KiB
Python
48 lines
1.7 KiB
Python
import pytest
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from src.tool_bias import BiasProfile
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from src.tool_presets import Tool, ToolPreset
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def test_tool_model():
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tool = Tool(name="read_file", weight=5, parameter_bias={"path": "preferred"})
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data = tool.to_dict()
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assert data["name"] == "read_file"
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assert data["weight"] == 5
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assert data["parameter_bias"]["path"] == "preferred"
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tool2 = Tool.from_dict(data)
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assert tool2.name == "read_file"
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assert tool2.weight == 5
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assert tool2.parameter_bias["path"] == "preferred"
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def test_tool_preset_extension():
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# Verify that ToolPreset correctly parses and serializes Tool objects
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tool_data = {"name": "read_file", "weight": 4, "parameter_bias": {"path": "high"}}
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raw_data = {"categories": {"General": [tool_data]}}
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# Test parsing via from_dict
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preset = ToolPreset.from_dict("test", raw_data)
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assert isinstance(preset.categories["General"][0], Tool)
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assert preset.categories["General"][0].weight == 4
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# Test serialization
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data = preset.to_dict()
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assert data["categories"]["General"][0]["weight"] == 4
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assert data["categories"]["General"][0]["name"] == "read_file"
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def test_bias_profile_model():
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profile = BiasProfile(
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name="Execution-Focused",
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tool_weights={"run_powershell": 5},
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category_multipliers={"Surgical": 1.5}
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)
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data = profile.to_dict()
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assert data["tool_weights"]["run_powershell"] == 5
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assert data["category_multipliers"]["Surgical"] == 1.5
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# BiasProfile.from_dict expects 'name' inside the dict as well if coming from load_all_bias_profiles
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data["name"] = "Execution-Focused"
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profile2 = BiasProfile.from_dict(data)
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assert profile2.name == "Execution-Focused"
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assert profile2.tool_weights["run_powershell"] == 5
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assert profile2.category_multipliers["Surgical"] == 1.5
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