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refactor(personas): move Persona dataclass from models.py to personas.py

Per spec FR4 + Phase 3.4: Persona dataclass + properties (provider/model/
temperature/top_p/max_output_tokens) + to_dict/from_dict move from
src/models.py into src/personas.py (which already has the PersonaManager
ops layer). Re-export at top of models.py preserves 'from src.models
import Persona'.
This commit is contained in:
2026-06-26 07:22:18 -04:00
parent cd828e5267
commit d7872bea53
2 changed files with 101 additions and 116 deletions
+6 -88
View File
@@ -76,6 +76,8 @@ from src.mma import (
TrackState,
WorkerContext,
)
# Backward-compat re-export for Persona (Phase 3.4 -> src/personas.py).
from src.personas import Persona
# Alias the old `Metadata` dataclass name to TrackMetadata so existing
# `from src.models import Metadata` keeps resolving to the dataclass.
Metadata = TrackMetadata # noqa: F401 — legacy class name re-export
@@ -530,96 +532,12 @@ class ExternalEditorConfig:
EMPTY_TEXT_EDITOR_CONFIG: TextEditorConfig = TextEditorConfig()
#region: Persona
# Persona dataclass moved to src/personas.py in module_taxonomy_refactor_20260627 Phase 3.4.
# PersonaManager (the ops layer) is also there. Re-export at the top of this module
# preserves backward-compat 'from src.models import Persona'.
@dataclass
class Persona:
name: str
preferred_models: list[Metadata] = field(default_factory=list)
system_prompt: str = ''
tool_preset: Optional[str] = None
bias_profile: Optional[str] = None
context_preset: Optional[str] = None
aggregation_strategy: Optional[str] = None
@property
def provider(self) -> str:
if not self.preferred_models: return ""
return self.preferred_models[0].get("provider") or ""
@property
def model(self) -> str:
if not self.preferred_models: return ""
return self.preferred_models[0].get("model") or ""
@property
def temperature(self) -> float:
if not self.preferred_models: return 0.0
return float(self.preferred_models[0].get("temperature") or 0.0)
@property
def top_p(self) -> float:
if not self.preferred_models: return 1.0
return float(self.preferred_models[0].get("top_p") or 1.0)
@property
def max_output_tokens(self) -> int:
if not self.preferred_models: return 0
return int(self.preferred_models[0].get("max_output_tokens") or 0)
def to_dict(self) -> Metadata:
"""
[C: src/personas.py:PersonaManager.save_persona, src/presets.py:PresetManager.save_preset, src/project_manager.py:save_project, src/project_manager.py:save_track_state, src/tool_presets.py:ToolPresetManager.save_bias_profile, src/tool_presets.py:ToolPresetManager.save_preset, src/workspace_manager.py:WorkspaceManager.save_profile, tests/test_bias_models.py:test_bias_profile_model, tests/test_bias_models.py:test_tool_model, tests/test_bias_models.py:test_tool_preset_extension, tests/test_context_presets_models.py:test_context_preset_serialization, tests/test_context_presets_models.py:test_file_view_preset_serialization, tests/test_custom_slices_annotations.py:test_file_item_custom_slices_round_trip_annotations, tests/test_custom_slices_annotations.py:test_file_item_custom_slices_serialization_with_annotations, tests/test_event_serialization.py:test_user_request_event_serialization, tests/test_external_editor.py:TestExternalEditorConfig.test_to_dict, tests/test_external_editor.py:TestTextEditorConfig.test_to_dict, tests/test_file_item_model.py:test_file_item_to_dict, tests/test_gui_events_v2.py:test_user_request_event_payload, tests/test_history_manager.py:TestHistoryManager.test_snapshot_roundtrip, tests/test_mcp_config.py:test_mcp_configuration_to_from_dict, tests/test_mcp_config.py:test_mcp_server_config_to_from_dict, tests/test_per_ticket_model.py:test_model_override_serialization, tests/test_persona_id.py:test_ticket_persona_id_serialization, tests/test_persona_models.py:test_persona_defaults, tests/test_persona_models.py:test_persona_serialization, tests/test_slice_editor_behavior.py:test_add_slice_with_annotations, tests/test_thinking_gui.py:test_thinking_segment_model_compatibility, tests/test_ticket_queue.py:test_ticket_to_dict_priority, tests/test_tiered_aggregation.py:test_persona_aggregation_strategy, tests/test_track_state_schema.py:test_track_state_to_dict, tests/test_track_state_schema.py:test_track_state_to_dict_with_none, tests/test_ui_summary_only_removal.py:test_file_item_serialization_with_flags]
"""
res = {"system_prompt": self.system_prompt}
if self.preferred_models:
processed = []
for m in self.preferred_models:
if isinstance(m, str):
processed.append({"model": m})
else:
processed.append(m)
res["preferred_models"] = processed
if self.tool_preset is not None: res["tool_preset"] = self.tool_preset
if self.bias_profile is not None: res["bias_profile"] = self.bias_profile
if self.context_preset is not None: res["context_preset"] = self.context_preset
if self.aggregation_strategy is not None: res["aggregation_strategy"] = self.aggregation_strategy
return res
@classmethod
def from_dict(cls, name: str, data: Metadata) -> "Persona":
"""
[C: src/personas.py:PersonaManager.load_all, src/presets.py:PresetManager.load_all, src/project_manager.py:load_project, src/project_manager.py:load_track_state, src/tool_presets.py:ToolPresetManager.load_all_bias_profiles, src/tool_presets.py:ToolPresetManager.load_all_presets, src/workspace_manager.py:WorkspaceManager.load_all_profiles, tests/test_bias_models.py:test_bias_profile_model, tests/test_bias_models.py:test_tool_model, tests/test_bias_models.py:test_tool_preset_extension, tests/test_context_presets_models.py:test_context_preset_from_dict_legacy, tests/test_context_presets_models.py:test_context_preset_serialization, tests/test_context_presets_models.py:test_file_view_preset_serialization, tests/test_custom_slices_annotations.py:test_file_item_custom_slices_deserialization_with_annotations, tests/test_custom_slices_annotations.py:test_file_item_custom_slices_round_trip_annotations, tests/test_external_editor.py:TestExternalEditorConfig.test_from_dict_with_dict_editors, tests/test_external_editor.py:TestExternalEditorConfig.test_from_dict_with_string_editors, tests/test_external_editor.py:TestTextEditorConfig.test_from_dict_with_diff_args, tests/test_external_editor.py:TestTextEditorConfig.test_from_dict_without_diff_args, tests/test_file_item_model.py:test_file_item_from_dict, tests/test_file_item_model.py:test_file_item_from_dict_defaults, tests/test_history_manager.py:TestHistoryManager.test_snapshot_roundtrip, tests/test_mcp_config.py:test_mcp_configuration_to_from_dict, tests/test_mcp_config.py:test_mcp_server_config_to_from_dict, tests/test_per_ticket_model.py:test_model_override_default_on_deserialize, tests/test_per_ticket_model.py:test_model_override_deserialization, tests/test_persona_id.py:test_ticket_persona_id_deserialization, tests/test_persona_models.py:test_persona_defaults, tests/test_persona_models.py:test_persona_deserialization, tests/test_project_serialization.py:TestProjectSerialization.test_backward_compatibility_strings, tests/test_slice_editor_behavior.py:test_add_slice_with_annotations, tests/test_ticket_queue.py:test_ticket_from_dict_default_priority, tests/test_ticket_queue.py:test_ticket_from_dict_priority, tests/test_tiered_aggregation.py:test_persona_aggregation_strategy, tests/test_track_state_schema.py:test_track_state_from_dict, tests/test_track_state_schema.py:test_track_state_from_dict_empty_and_missing, tests/test_ui_summary_only_removal.py:test_file_item_serialization_with_flags]
"""
raw_models = data.get("preferred_models", [])
parsed_models = []
for m in raw_models:
if isinstance(m, str):
parsed_models.append({"model": m})
else:
parsed_models.append(m)
legacy = {}
for k in ["provider", "model", "temperature", "top_p", "max_output_tokens"]:
if data.get(k) is not None:
legacy[k] = data[k]
if legacy:
if not parsed_models:
parsed_models.append(legacy)
else:
for k, v in legacy.items():
if k not in parsed_models[0] or parsed_models[0][k] is None:
parsed_models[0][k] = v
return cls(
name = name,
preferred_models = parsed_models,
system_prompt = data.get("system_prompt", ""),
tool_preset = data.get("tool_preset"),
bias_profile = data.get("bias_profile"),
context_preset = data.get("context_preset"),
aggregation_strategy = data.get("aggregation_strategy"),
)
#region: Workspace
#region: Workspace
@dataclass
+95 -28
View File
@@ -1,11 +1,103 @@
"""Personas module: Persona dataclass + PersonaManager CRUD.
Per module_taxonomy_refactor_20260627 Phase 3.4, the Persona dataclass
moved from src/models.py into this module. PersonaManager (the ops layer
that loads/saves Persona instances to TOML) was already here.
"""
from __future__ import annotations
import tomllib
import tomli_w
from pathlib import Path
from typing import Dict, Any, Optional
from dataclasses import dataclass, field
from pathlib import Path
from typing import Dict, Any, Optional
from src.models import Persona
from src import paths
from src.type_aliases import Metadata
@dataclass
class Persona:
name: str
preferred_models: list[Metadata] = field(default_factory=list)
system_prompt: str = ''
tool_preset: Optional[str] = None
bias_profile: Optional[str] = None
context_preset: Optional[str] = None
aggregation_strategy: Optional[str] = None
@property
def provider(self) -> str:
if not self.preferred_models: return ""
return self.preferred_models[0].get("provider") or ""
@property
def model(self) -> str:
if not self.preferred_models: return ""
return self.preferred_models[0].get("model") or ""
@property
def temperature(self) -> float:
if not self.preferred_models: return 0.0
return float(self.preferred_models[0].get("temperature") or 0.0)
@property
def top_p(self) -> float:
if not self.preferred_models: return 1.0
return float(self.preferred_models[0].get("top_p") or 1.0)
@property
def max_output_tokens(self) -> int:
if not self.preferred_models: return 0
return int(self.preferred_models[0].get("max_output_tokens") or 0)
def to_dict(self) -> Metadata:
res = {"system_prompt": self.system_prompt}
if self.preferred_models:
processed = []
for m in self.preferred_models:
if isinstance(m, str):
processed.append({"model": m})
else:
processed.append(m)
res["preferred_models"] = processed
if self.tool_preset is not None: res["tool_preset"] = self.tool_preset
if self.bias_profile is not None: res["bias_profile"] = self.bias_profile
if self.context_preset is not None: res["context_preset"] = self.context_preset
if self.aggregation_strategy is not None: res["aggregation_strategy"] = self.aggregation_strategy
return res
@classmethod
def from_dict(cls, name: str, data: Metadata) -> "Persona":
raw_models = data.get("preferred_models", [])
parsed_models = []
for m in raw_models:
if isinstance(m, str):
parsed_models.append({"model": m})
else:
parsed_models.append(m)
legacy = {}
for k in ["provider", "model", "temperature", "top_p", "max_output_tokens"]:
if data.get(k) is not None:
legacy[k] = data[k]
if legacy:
if not parsed_models:
parsed_models.append(legacy)
else:
for k, v in legacy.items():
if k not in parsed_models[0] or parsed_models[0][k] is None:
parsed_models[0][k] = v
return cls(
name = name,
preferred_models = parsed_models,
system_prompt = data.get("system_prompt", ""),
tool_preset = data.get("tool_preset"),
bias_profile = data.get("bias_profile"),
context_preset = data.get("context_preset"),
aggregation_strategy = data.get("aggregation_strategy"),
)
class PersonaManager:
"""Manages Persona profiles across global and project-specific files."""
@@ -14,9 +106,6 @@ class PersonaManager:
self.project_root = project_root
def _get_path(self, scope: str) -> Path:
"""
[C: src/tool_presets.py:ToolPresetManager.delete_bias_profile, src/tool_presets.py:ToolPresetManager.delete_preset, src/tool_presets.py:ToolPresetManager.save_bias_profile, src/tool_presets.py:ToolPresetManager.save_preset, src/workspace_manager.py:WorkspaceManager.delete_profile, src/workspace_manager.py:WorkspaceManager.save_profile]
"""
if scope == "global":
return paths.get_global_personas_path()
elif scope == "project":
@@ -27,34 +116,23 @@ class PersonaManager:
raise ValueError("Invalid scope, must be 'global' or 'project'")
def load_all(self) -> Dict[str, Persona]:
"""
Merges global and project personas into a single dictionary.
[C: tests/test_persona_manager.py:test_delete_persona, tests/test_persona_manager.py:test_load_all_merged, tests/test_persona_manager.py:test_save_persona, tests/test_preset_manager.py:test_delete_preset, tests/test_preset_manager.py:test_load_all_merged, tests/test_preset_manager.py:test_save_preset_global, tests/test_preset_manager.py:test_save_preset_project, tests/test_presets.py:TestPresetManager.test_delete_preset, tests/test_presets.py:TestPresetManager.test_project_overwrites_global, tests/test_presets.py:TestPresetManager.test_save_and_load_global, tests/test_presets.py:TestPresetManager.test_save_and_load_project]
"""
personas = {}
global_path = paths.get_global_personas_path()
global_data = self._load_file(global_path)
for name, data in global_data.get("personas", {}).items():
personas[name] = Persona.from_dict(name, data)
if self.project_root:
project_path = paths.get_project_personas_path(self.project_root)
project_data = self._load_file(project_path)
for name, data in project_data.get("personas", {}).items():
personas[name] = Persona.from_dict(name, data)
return personas
def save_persona(self, persona: Persona, scope: str = "project") -> None:
"""
[C: tests/test_persona_manager.py:test_save_persona]
"""
path = self._get_path(scope)
data = self._load_file(path)
if "personas" not in data:
data["personas"] = {}
data["personas"][persona.name] = persona.to_dict()
self._save_file(path, data)
@@ -65,18 +143,13 @@ class PersonaManager:
project_data = self._load_file(project_path)
if name in project_data.get("personas", {}):
return "project"
global_path = paths.get_global_personas_path()
global_data = self._load_file(global_path)
if name in global_data.get("personas", {}):
return "global"
return "project"
def delete_persona(self, name: str, scope: str = "project") -> None:
"""
[C: tests/test_persona_manager.py:test_delete_persona]
"""
path = self._get_path(scope)
data = self._load_file(path)
if "personas" in data and name in data["personas"]:
@@ -84,9 +157,6 @@ class PersonaManager:
self._save_file(path, data)
def _load_file(self, path: Path) -> Dict[str, Any]:
"""
[C: src/presets.py:PresetManager.delete_preset, src/presets.py:PresetManager.get_preset_scope, src/presets.py:PresetManager.load_all, src/presets.py:PresetManager.save_preset, src/workspace_manager.py:WorkspaceManager.delete_profile, src/workspace_manager.py:WorkspaceManager.load_all_profiles, src/workspace_manager.py:WorkspaceManager.save_profile]
"""
if not path.exists():
return {}
try:
@@ -96,9 +166,6 @@ class PersonaManager:
return {}
def _save_file(self, path: Path, data: Dict[str, Any]) -> None:
"""
[C: src/presets.py:PresetManager.delete_preset, src/presets.py:PresetManager.save_preset, src/workspace_manager.py:WorkspaceManager.delete_profile, src/workspace_manager.py:WorkspaceManager.save_profile]
"""
path.parent.mkdir(parents=True, exist_ok=True)
with open(path, "wb") as f:
tomli_w.dump(data, f)