3337 lines
150 KiB
Python
3337 lines
150 KiB
Python
# gui_2.py
|
|
import tomli_w
|
|
import threading
|
|
import asyncio
|
|
import time
|
|
import math
|
|
import json
|
|
import sys
|
|
import os
|
|
import uuid
|
|
import requests
|
|
from pathlib import Path
|
|
from tkinter import filedialog, Tk
|
|
from typing import Optional, Callable
|
|
import aggregate
|
|
import ai_client
|
|
from ai_client import ProviderError
|
|
import shell_runner
|
|
import session_logger
|
|
import project_manager
|
|
import theme_2 as theme
|
|
import tomllib
|
|
import events
|
|
import numpy as np
|
|
import api_hooks
|
|
import mcp_client
|
|
import orchestrator_pm
|
|
from performance_monitor import PerformanceMonitor
|
|
from log_registry import LogRegistry
|
|
from log_pruner import LogPruner
|
|
import conductor_tech_lead
|
|
import multi_agent_conductor
|
|
from models import Track, Ticket
|
|
from file_cache import ASTParser
|
|
|
|
from fastapi import FastAPI, Depends, HTTPException, Security
|
|
from fastapi.security.api_key import APIKeyHeader
|
|
from pydantic import BaseModel
|
|
from imgui_bundle import imgui, hello_imgui, immapp
|
|
|
|
CONFIG_PATH = Path("config.toml")
|
|
PROVIDERS = ["gemini", "anthropic", "gemini_cli", "deepseek"]
|
|
COMMS_CLAMP_CHARS = 300
|
|
|
|
def load_config() -> dict:
|
|
with open(CONFIG_PATH, "rb") as f:
|
|
return tomllib.load(f)
|
|
|
|
def save_config(config: dict):
|
|
with open(CONFIG_PATH, "wb") as f:
|
|
tomli_w.dump(config, f)
|
|
|
|
|
|
def hide_tk_root() -> Tk:
|
|
root = Tk()
|
|
root.withdraw()
|
|
root.wm_attributes("-topmost", True)
|
|
return root
|
|
|
|
|
|
# Color Helpers
|
|
def vec4(r, g, b, a=1.0): return imgui.ImVec4(r/255, g/255, b/255, a)
|
|
|
|
|
|
C_OUT = vec4(100, 200, 255)
|
|
C_IN = vec4(140, 255, 160)
|
|
C_REQ = vec4(255, 220, 100)
|
|
C_RES = vec4(180, 255, 180)
|
|
C_TC = vec4(255, 180, 80)
|
|
C_TR = vec4(180, 220, 255)
|
|
C_TRS = vec4(200, 180, 255)
|
|
C_LBL = vec4(180, 180, 180)
|
|
C_VAL = vec4(220, 220, 220)
|
|
C_KEY = vec4(140, 200, 255)
|
|
C_NUM = vec4(180, 255, 180)
|
|
C_SUB = vec4(220, 200, 120)
|
|
|
|
DIR_COLORS = {"OUT": C_OUT, "IN": C_IN}
|
|
KIND_COLORS = {"request": C_REQ, "response": C_RES, "tool_call": C_TC, "tool_result": C_TR, "tool_result_send": C_TRS}
|
|
HEAVY_KEYS = {"message", "text", "script", "output", "content"}
|
|
|
|
DISC_ROLES = ["User", "AI", "Vendor API", "System"]
|
|
AGENT_TOOL_NAMES = ["run_powershell", "read_file", "list_directory", "search_files", "get_file_summary", "web_search", "fetch_url"]
|
|
|
|
|
|
def truncate_entries(entries: list[dict], max_pairs: int) -> list[dict]:
|
|
if max_pairs <= 0:
|
|
return []
|
|
target_count = max_pairs * 2
|
|
if len(entries) <= target_count:
|
|
return entries
|
|
return entries[-target_count:]
|
|
|
|
|
|
def _parse_history_entries(history: list[str], roles: list[str] | None = None) -> list[dict]:
|
|
known = roles if roles is not None else DISC_ROLES
|
|
entries = []
|
|
for raw in history:
|
|
entries.append(project_manager.str_to_entry(raw, known))
|
|
return entries
|
|
|
|
|
|
class ConfirmDialog:
|
|
def __init__(self, script: str, base_dir: str):
|
|
self._uid = str(uuid.uuid4())
|
|
self._script = str(script) if script is not None else ""
|
|
self._base_dir = str(base_dir) if base_dir is not None else ""
|
|
self._condition = threading.Condition()
|
|
self._done = False
|
|
self._approved = False
|
|
|
|
def wait(self) -> tuple[bool, str]:
|
|
with self._condition:
|
|
while not self._done:
|
|
self._condition.wait(timeout=0.1)
|
|
return self._approved, self._script
|
|
|
|
|
|
class MMAApprovalDialog:
|
|
def __init__(self, ticket_id: str, payload: str):
|
|
self._ticket_id = ticket_id
|
|
self._payload = payload
|
|
self._condition = threading.Condition()
|
|
self._done = False
|
|
self._approved = False
|
|
|
|
def wait(self) -> tuple[bool, str]:
|
|
with self._condition:
|
|
while not self._done:
|
|
self._condition.wait(timeout=0.1)
|
|
return self._approved, self._payload
|
|
|
|
|
|
class MMASpawnApprovalDialog:
|
|
def __init__(self, ticket_id: str, role: str, prompt: str, context_md: str):
|
|
self._ticket_id = ticket_id
|
|
self._role = role
|
|
self._prompt = prompt
|
|
self._context_md = context_md
|
|
self._condition = threading.Condition()
|
|
self._done = False
|
|
self._approved = False
|
|
self._abort = False
|
|
|
|
def wait(self) -> dict:
|
|
with self._condition:
|
|
while not self._done:
|
|
self._condition.wait(timeout=0.1)
|
|
return {
|
|
'approved': self._approved,
|
|
'abort': self._abort,
|
|
'prompt': self._prompt,
|
|
'context_md': self._context_md
|
|
}
|
|
|
|
|
|
class App:
|
|
"""The main ImGui interface orchestrator for Manual Slop."""
|
|
|
|
def __init__(self):
|
|
self.config = load_config()
|
|
self.event_queue = events.AsyncEventQueue()
|
|
self._loop = asyncio.new_event_loop()
|
|
self._loop_thread = threading.Thread(target=self._run_event_loop, daemon=True)
|
|
self._loop_thread.start()
|
|
|
|
ai_cfg = self.config.get("ai", {})
|
|
self._current_provider: str = ai_cfg.get("provider", "gemini")
|
|
self._current_model: str = ai_cfg.get("model", "gemini-2.5-flash-lite")
|
|
self.available_models: list[str] = []
|
|
self.temperature: float = ai_cfg.get("temperature", 0.0)
|
|
self.max_tokens: int = ai_cfg.get("max_tokens", 8192)
|
|
self.history_trunc_limit: int = ai_cfg.get("history_trunc_limit", 8000)
|
|
|
|
projects_cfg = self.config.get("projects", {})
|
|
self.project_paths: list[str] = list(projects_cfg.get("paths", []))
|
|
self.active_project_path: str = projects_cfg.get("active", "")
|
|
|
|
self.project: dict = {}
|
|
self.active_discussion: str = "main"
|
|
|
|
self._load_active_project()
|
|
|
|
# Project-derived state
|
|
self.files: list[str] = list(self.project.get("files", {}).get("paths", []))
|
|
self.screenshots: list[str] = list(self.project.get("screenshots", {}).get("paths", []))
|
|
|
|
disc_sec = self.project.get("discussion", {})
|
|
self.disc_roles: list[str] = list(disc_sec.get("roles", list(DISC_ROLES)))
|
|
self.active_discussion = disc_sec.get("active", "main")
|
|
|
|
disc_data = disc_sec.get("discussions", {}).get(self.active_discussion, {})
|
|
self.disc_entries: list[dict] = _parse_history_entries(disc_data.get("history", []), self.disc_roles)
|
|
|
|
# UI State Variables
|
|
self.ui_output_dir = self.project.get("output", {}).get("output_dir", "./md_gen")
|
|
self.ui_files_base_dir = self.project.get("files", {}).get("base_dir", ".")
|
|
self.ui_shots_base_dir = self.project.get("screenshots", {}).get("base_dir", ".")
|
|
proj_meta = self.project.get("project", {})
|
|
self.ui_project_git_dir = proj_meta.get("git_dir", "")
|
|
self.ui_project_main_context = proj_meta.get("main_context", "")
|
|
self.ui_project_system_prompt = proj_meta.get("system_prompt", "")
|
|
self.ui_gemini_cli_path = self.project.get("gemini_cli", {}).get("binary_path", "gemini")
|
|
self.ui_word_wrap = proj_meta.get("word_wrap", True)
|
|
self.ui_summary_only = proj_meta.get("summary_only", False)
|
|
self.ui_auto_add_history = disc_sec.get("auto_add", False)
|
|
|
|
self.ui_global_system_prompt = self.config.get("ai", {}).get("system_prompt", "")
|
|
self.ui_ai_input = ""
|
|
self.ui_disc_new_name_input = ""
|
|
self.ui_disc_new_role_input = ""
|
|
self.ui_epic_input = ""
|
|
self.proposed_tracks = []
|
|
self._show_track_proposal_modal = False
|
|
|
|
# Last Script popup variables
|
|
self.ui_last_script_text = ""
|
|
self.ui_last_script_output = ""
|
|
|
|
self.ai_status = "idle"
|
|
self.ai_response = ""
|
|
self.last_md = ""
|
|
self.last_md_path: Path | None = None
|
|
self.last_file_items: list = []
|
|
|
|
self.send_thread: threading.Thread | None = None
|
|
self._send_thread_lock = threading.Lock()
|
|
self.models_thread: threading.Thread | None = None
|
|
|
|
_default_windows = {
|
|
"Context Hub": True,
|
|
"Files & Media": True,
|
|
"AI Settings": True,
|
|
"MMA Dashboard": True,
|
|
"Discussion Hub": True,
|
|
"Operations Hub": True,
|
|
"Theme": True,
|
|
"Log Management": False,
|
|
"Diagnostics": False,
|
|
}
|
|
saved = self.config.get("gui", {}).get("show_windows", {})
|
|
self.show_windows = {k: saved.get(k, v) for k, v in _default_windows.items()}
|
|
self.show_script_output = False
|
|
self.show_text_viewer = False
|
|
self.text_viewer_title = ""
|
|
self.text_viewer_content = ""
|
|
|
|
self._pending_dialog: ConfirmDialog | None = None
|
|
self._pending_dialog_open = False
|
|
self._pending_dialog_lock = threading.Lock()
|
|
self._pending_actions: dict[str, ConfirmDialog] = {}
|
|
|
|
# Ask-related state (for tool approvals from CLI)
|
|
self._pending_ask_dialog = False
|
|
self._ask_dialog_open = False
|
|
self._ask_request_id = None
|
|
self._ask_tool_data = None
|
|
|
|
# MMA State
|
|
self.mma_step_mode = False
|
|
self.active_track = None
|
|
self.active_tickets = []
|
|
self.active_tier = None # "Tier 1", "Tier 2", etc.
|
|
self.mma_status = "idle"
|
|
|
|
# MMA-specific approval state
|
|
self._pending_mma_approval = None
|
|
self._mma_approval_open = False
|
|
self._mma_approval_edit_mode = False
|
|
self._mma_approval_payload = ""
|
|
|
|
# MMA Spawn approval state
|
|
self._pending_mma_spawn = None
|
|
self._mma_spawn_open = False
|
|
self._mma_spawn_edit_mode = False
|
|
self._mma_spawn_prompt = ''
|
|
self._mma_spawn_context = ''
|
|
|
|
# Orchestration State
|
|
self.ui_epic_input = ""
|
|
self.proposed_tracks: list[dict] = []
|
|
self._show_track_proposal_modal = False
|
|
|
|
self.mma_tier_usage = {
|
|
"Tier 1": {"input": 0, "output": 0},
|
|
"Tier 2": {"input": 0, "output": 0},
|
|
"Tier 3": {"input": 0, "output": 0},
|
|
"Tier 4": {"input": 0, "output": 0},
|
|
}
|
|
|
|
self._tool_log: list[tuple[str, str]] = []
|
|
self._comms_log: list[dict] = []
|
|
|
|
self._pending_comms: list[dict] = []
|
|
self._pending_comms_lock = threading.Lock()
|
|
|
|
self._pending_tool_calls: list[tuple[str, str]] = []
|
|
self._pending_tool_calls_lock = threading.Lock()
|
|
|
|
self._pending_history_adds: list[dict] = []
|
|
self._pending_history_adds_lock = threading.Lock()
|
|
|
|
# Blinking
|
|
self._trigger_blink = False
|
|
self._is_blinking = False
|
|
self._blink_start_time = 0.0
|
|
|
|
self._trigger_script_blink = False
|
|
self._is_script_blinking = False
|
|
self._script_blink_start_time = 0.0
|
|
|
|
self._scroll_disc_to_bottom = False
|
|
self._scroll_comms_to_bottom = False
|
|
self._scroll_tool_calls_to_bottom = False
|
|
|
|
# GUI Task Queue (thread-safe, for event handlers and hook server)
|
|
self._pending_gui_tasks: list[dict] = []
|
|
self._pending_gui_tasks_lock = threading.Lock()
|
|
|
|
# Session usage tracking
|
|
self.session_usage = {"input_tokens": 0, "output_tokens": 0, "cache_read_input_tokens": 0, "cache_creation_input_tokens": 0}
|
|
|
|
# Token budget / cache telemetry
|
|
self._token_budget_pct = 0.0
|
|
self._token_budget_current = 0
|
|
self._token_budget_limit = 0
|
|
self._gemini_cache_text = ""
|
|
|
|
# Discussion truncation
|
|
self.ui_disc_truncate_pairs: int = 2
|
|
|
|
self.ui_auto_scroll_comms = True
|
|
self.ui_auto_scroll_tool_calls = True
|
|
|
|
# Agent tools config
|
|
agent_tools_cfg = self.project.get("agent", {}).get("tools", {})
|
|
self.ui_agent_tools: dict[str, bool] = {t: agent_tools_cfg.get(t, True) for t in AGENT_TOOL_NAMES}
|
|
|
|
# MMA Tracks
|
|
self.tracks: list[dict] = []
|
|
self.mma_streams: dict[str, str] = {}
|
|
|
|
# Prior session log viewing
|
|
self.is_viewing_prior_session = False
|
|
self.prior_session_entries: list[dict] = []
|
|
|
|
# API Hooks
|
|
self.test_hooks_enabled = ("--enable-test-hooks" in sys.argv) or (os.environ.get("SLOP_TEST_HOOKS") == "1")
|
|
|
|
# Performance monitoring
|
|
self.perf_monitor = PerformanceMonitor()
|
|
self.perf_history = {"frame_time": [0.0]*100, "fps": [0.0]*100, "cpu": [0.0]*100, "input_lag": [0.0]*100}
|
|
self._perf_last_update = 0.0
|
|
|
|
# Auto-save timer (every 60s)
|
|
self._autosave_interval = 60.0
|
|
self._last_autosave = time.time()
|
|
|
|
label = self.project.get("project", {}).get("name", "")
|
|
session_logger.open_session(label=label)
|
|
self._prune_old_logs()
|
|
self._init_ai_and_hooks()
|
|
|
|
def _prune_old_logs(self):
|
|
"""Asynchronously prunes old insignificant logs on startup."""
|
|
def run_prune():
|
|
try:
|
|
registry = LogRegistry("logs/log_registry.toml")
|
|
pruner = LogPruner(registry, "logs")
|
|
pruner.prune()
|
|
except Exception as e:
|
|
print(f"Error during log pruning: {e}")
|
|
|
|
thread = threading.Thread(target=run_prune, daemon=True)
|
|
thread.start()
|
|
|
|
@property
|
|
def current_provider(self):
|
|
return self._current_provider
|
|
|
|
@current_provider.setter
|
|
def current_provider(self, value):
|
|
if value != self._current_provider:
|
|
self._current_provider = value
|
|
ai_client.reset_session()
|
|
ai_client.set_provider(value, self.current_model)
|
|
if value == "gemini_cli":
|
|
# Ensure the adapter is initialized with the current path
|
|
if not ai_client._gemini_cli_adapter:
|
|
ai_client._gemini_cli_adapter = ai_client.GeminiCliAdapter(binary_path=self.ui_gemini_cli_path)
|
|
else:
|
|
ai_client._gemini_cli_adapter.binary_path = self.ui_gemini_cli_path
|
|
|
|
# Start hook server if not already running (required for bridge)
|
|
if hasattr(self, 'hook_server'):
|
|
self.hook_server.start()
|
|
self.available_models = []
|
|
self._fetch_models(value)
|
|
|
|
@property
|
|
def current_model(self):
|
|
return self._current_model
|
|
|
|
@current_model.setter
|
|
def current_model(self, value):
|
|
if value != self._current_model:
|
|
self._current_model = value
|
|
ai_client.reset_session()
|
|
ai_client.set_provider(self.current_provider, value)
|
|
|
|
def _init_ai_and_hooks(self):
|
|
ai_client.set_provider(self.current_provider, self.current_model)
|
|
if self.current_provider == "gemini_cli":
|
|
if not ai_client._gemini_cli_adapter:
|
|
ai_client._gemini_cli_adapter = ai_client.GeminiCliAdapter(binary_path=self.ui_gemini_cli_path)
|
|
else:
|
|
ai_client._gemini_cli_adapter.binary_path = self.ui_gemini_cli_path
|
|
ai_client.confirm_and_run_callback = self._confirm_and_run
|
|
ai_client.comms_log_callback = self._on_comms_entry
|
|
ai_client.tool_log_callback = self._on_tool_log
|
|
mcp_client.perf_monitor_callback = self.perf_monitor.get_metrics
|
|
self.perf_monitor.alert_callback = self._on_performance_alert
|
|
|
|
# AI client event subscriptions
|
|
ai_client.events.on("request_start", self._on_api_event)
|
|
ai_client.events.on("response_received", self._on_api_event)
|
|
ai_client.events.on("tool_execution", self._on_api_event)
|
|
|
|
# Mappings for safe hook execution
|
|
self._settable_fields = {
|
|
'ai_input': 'ui_ai_input',
|
|
'project_git_dir': 'ui_project_git_dir',
|
|
'auto_add_history': 'ui_auto_add_history',
|
|
'disc_new_name_input': 'ui_disc_new_name_input',
|
|
'project_main_context': 'ui_project_main_context',
|
|
'gcli_path': 'ui_gemini_cli_path',
|
|
'output_dir': 'ui_output_dir',
|
|
'files_base_dir': 'ui_files_base_dir',
|
|
'ai_status': 'ai_status',
|
|
'ai_response': 'ai_response',
|
|
'active_discussion': 'active_discussion',
|
|
'current_provider': 'current_provider',
|
|
'current_model': 'current_model',
|
|
'token_budget_pct': '_token_budget_pct',
|
|
'token_budget_current': '_token_budget_current',
|
|
'token_budget_label': '_token_budget_label',
|
|
'show_confirm_modal': 'show_confirm_modal',
|
|
'mma_epic_input': 'ui_epic_input',
|
|
'mma_status': 'mma_status',
|
|
'mma_active_tier': 'active_tier'
|
|
}
|
|
|
|
self._clickable_actions = {
|
|
'btn_reset': self._handle_reset_session,
|
|
'btn_gen_send': self._handle_generate_send,
|
|
'btn_md_only': self._handle_md_only,
|
|
'btn_approve_script': self._handle_approve_script,
|
|
'btn_reject_script': self._handle_reject_script,
|
|
'btn_project_save': self._cb_project_save,
|
|
'btn_disc_create': self._cb_disc_create,
|
|
'btn_mma_plan_epic': self._cb_plan_epic,
|
|
'btn_mma_accept_tracks': self._cb_accept_tracks,
|
|
'btn_mma_start_track': self._cb_start_track,
|
|
}
|
|
self._predefined_callbacks = {
|
|
'_test_callback_func_write_to_file': self._test_callback_func_write_to_file
|
|
}
|
|
|
|
# Caching
|
|
self._discussion_names_cache = []
|
|
self._discussion_names_dirty = True
|
|
|
|
def create_api(self) -> FastAPI:
|
|
"""Creates and configures the FastAPI application for headless mode."""
|
|
api = FastAPI(title="Manual Slop Headless API")
|
|
|
|
class GenerateRequest(BaseModel):
|
|
prompt: str
|
|
auto_add_history: bool = True
|
|
temperature: float | None = None
|
|
max_tokens: int | None = None
|
|
|
|
class ConfirmRequest(BaseModel):
|
|
approved: bool
|
|
|
|
API_KEY_NAME = "X-API-KEY"
|
|
api_key_header = APIKeyHeader(name=API_KEY_NAME, auto_error=False)
|
|
|
|
async def get_api_key(header_key: str = Depends(api_key_header)):
|
|
"""Validates the API key from the request header against configuration."""
|
|
headless_cfg = self.config.get("headless", {})
|
|
config_key = headless_cfg.get("api_key", "").strip()
|
|
env_key = os.environ.get("SLOP_API_KEY", "").strip()
|
|
target_key = env_key or config_key
|
|
if not target_key:
|
|
# If no key is configured, we must deny access by default for security
|
|
raise HTTPException(status_code=403, detail="API Key not configured on server")
|
|
if header_key == target_key:
|
|
return header_key
|
|
raise HTTPException(status_code=403, detail="Could not validate API Key")
|
|
|
|
@api.get("/health")
|
|
def health():
|
|
"""Basic health check endpoint."""
|
|
return {"status": "ok"}
|
|
|
|
@api.get("/status", dependencies=[Depends(get_api_key)])
|
|
def status():
|
|
"""Returns the current status of the AI provider and active project."""
|
|
return {
|
|
"provider": self.current_provider,
|
|
"model": self.current_model,
|
|
"active_project": self.active_project_path,
|
|
"ai_status": self.ai_status,
|
|
"session_usage": self.session_usage
|
|
}
|
|
|
|
@api.get("/api/v1/pending_actions", dependencies=[Depends(get_api_key)])
|
|
def pending_actions():
|
|
"""Lists all PowerShell scripts awaiting manual confirmation."""
|
|
actions = []
|
|
with self._pending_dialog_lock:
|
|
# Include multi-actions from headless mode
|
|
for uid, dialog in self._pending_actions.items():
|
|
actions.append({
|
|
"action_id": uid,
|
|
"script": dialog._script,
|
|
"base_dir": dialog._base_dir
|
|
})
|
|
# Include single active dialog from GUI mode
|
|
if self._pending_dialog:
|
|
actions.append({
|
|
"action_id": self._pending_dialog._uid,
|
|
"script": self._pending_dialog._script,
|
|
"base_dir": self._pending_dialog._base_dir
|
|
})
|
|
return actions
|
|
|
|
@api.post("/api/v1/confirm/{action_id}", dependencies=[Depends(get_api_key)])
|
|
def confirm_action(action_id: str, req: ConfirmRequest):
|
|
"""Approves or denies a pending PowerShell script execution."""
|
|
success = self.resolve_pending_action(action_id, req.approved)
|
|
if not success:
|
|
raise HTTPException(status_code=404, detail=f"Action ID {action_id} not found")
|
|
return {"status": "success", "action_id": action_id, "approved": req.approved}
|
|
|
|
@api.get("/api/v1/sessions", dependencies=[Depends(get_api_key)])
|
|
def list_sessions():
|
|
"""Lists all available session log files."""
|
|
log_dir = Path("logs")
|
|
if not log_dir.exists():
|
|
return []
|
|
return sorted([f.name for f in log_dir.glob("*.log")], reverse=True)
|
|
|
|
@api.get("/api/v1/sessions/{filename}", dependencies=[Depends(get_api_key)])
|
|
def get_session(filename: str):
|
|
"""Retrieves the content of a specific session log file."""
|
|
if ".." in filename or "/" in filename or "\\" in filename:
|
|
raise HTTPException(status_code=400, detail="Invalid filename")
|
|
log_path = Path("logs") / filename
|
|
if not log_path.exists() or not log_path.is_file():
|
|
raise HTTPException(status_code=404, detail="Session log not found")
|
|
try:
|
|
content = log_path.read_text(encoding="utf-8")
|
|
return {"filename": filename, "content": content}
|
|
except Exception as e:
|
|
raise HTTPException(status_code=500, detail=str(e))
|
|
|
|
@api.delete("/api/v1/sessions/{filename}", dependencies=[Depends(get_api_key)])
|
|
def delete_session(filename: str):
|
|
"""Deletes a specific session log file."""
|
|
if ".." in filename or "/" in filename or "\\" in filename:
|
|
raise HTTPException(status_code=400, detail="Invalid filename")
|
|
log_path = Path("logs") / filename
|
|
if not log_path.exists() or not log_path.is_file():
|
|
raise HTTPException(status_code=404, detail="Session log not found")
|
|
try:
|
|
log_path.unlink()
|
|
return {"status": "success", "message": f"Deleted {filename}"}
|
|
except Exception as e:
|
|
raise HTTPException(status_code=500, detail=str(e))
|
|
|
|
@api.get("/api/v1/context", dependencies=[Depends(get_api_key)])
|
|
def get_context():
|
|
"""Returns the current file and screenshot context configuration."""
|
|
return {
|
|
"files": self.files,
|
|
"screenshots": self.screenshots,
|
|
"files_base_dir": self.ui_files_base_dir,
|
|
"screenshots_base_dir": self.ui_shots_base_dir
|
|
}
|
|
|
|
@api.post("/api/v1/generate", dependencies=[Depends(get_api_key)])
|
|
def generate(req: GenerateRequest):
|
|
"""Triggers an AI generation request using the current project context."""
|
|
if not req.prompt.strip():
|
|
raise HTTPException(status_code=400, detail="Prompt cannot be empty")
|
|
|
|
with self._send_thread_lock:
|
|
start_time = time.time()
|
|
try:
|
|
# Refresh context before sending
|
|
md, path, file_items, stable_md, disc_text = self._do_generate()
|
|
self.last_md = md
|
|
self.last_md_path = path
|
|
self.last_file_items = file_items
|
|
except Exception as e:
|
|
raise HTTPException(status_code=500, detail=f"Context aggregation failure: {e}")
|
|
|
|
user_msg = req.prompt
|
|
base_dir = self.ui_files_base_dir
|
|
csp = filter(bool, [self.ui_global_system_prompt.strip(), self.ui_project_system_prompt.strip()])
|
|
ai_client.set_custom_system_prompt("\n\n".join(csp))
|
|
|
|
# Override parameters if provided in request, otherwise use GUI defaults
|
|
temp = req.temperature if req.temperature is not None else self.temperature
|
|
tokens = req.max_tokens if req.max_tokens is not None else self.max_tokens
|
|
ai_client.set_model_params(temp, tokens, self.history_trunc_limit)
|
|
ai_client.set_agent_tools(self.ui_agent_tools)
|
|
|
|
if req.auto_add_history:
|
|
with self._pending_history_adds_lock:
|
|
self._pending_history_adds.append({
|
|
"role": "User",
|
|
"content": user_msg,
|
|
"collapsed": False,
|
|
"ts": project_manager.now_ts()
|
|
})
|
|
|
|
try:
|
|
resp = ai_client.send(stable_md, user_msg, base_dir, self.last_file_items, disc_text)
|
|
|
|
if req.auto_add_history:
|
|
with self._pending_history_adds_lock:
|
|
self._pending_history_adds.append({
|
|
"role": "AI",
|
|
"content": resp,
|
|
"collapsed": False,
|
|
"ts": project_manager.now_ts()
|
|
})
|
|
|
|
# Ensure metrics are updated for the response
|
|
self._recalculate_session_usage()
|
|
duration = time.time() - start_time
|
|
|
|
return {
|
|
"text": resp,
|
|
"metadata": {
|
|
"provider": self.current_provider,
|
|
"model": self.current_model,
|
|
"duration_sec": round(duration, 3),
|
|
"timestamp": project_manager.now_ts()
|
|
},
|
|
"usage": self.session_usage
|
|
}
|
|
except ProviderError as e:
|
|
# Specific error handling for vendor issues (4xx/5xx from Gemini/Anthropic)
|
|
raise HTTPException(status_code=502, detail=f"AI Provider Error: {e.ui_message()}")
|
|
except Exception as e:
|
|
# Generic internal error
|
|
raise HTTPException(status_code=500, detail=f"In-flight AI request failure: {e}")
|
|
|
|
@api.post("/api/v1/stream", dependencies=[Depends(get_api_key)])
|
|
async def stream(req: GenerateRequest):
|
|
"""Placeholder for streaming AI generation responses (Not yet implemented)."""
|
|
# Streaming implementation would require ai_client to support yield-based responses.
|
|
# Currently added as a placeholder to satisfy spec requirements.
|
|
raise HTTPException(status_code=501, detail="Streaming endpoint (/api/v1/stream) is not yet supported in this version.")
|
|
|
|
return api
|
|
|
|
# ---------------------------------------------------------------- project loading
|
|
|
|
def _cb_new_project_automated(self, user_data):
|
|
if user_data:
|
|
name = Path(user_data).stem
|
|
proj = project_manager.default_project(name)
|
|
project_manager.save_project(proj, user_data)
|
|
if user_data not in self.project_paths:
|
|
self.project_paths.append(user_data)
|
|
self._switch_project(user_data)
|
|
|
|
def _cb_project_save(self):
|
|
self._flush_to_project()
|
|
self._save_active_project()
|
|
self._flush_to_config()
|
|
save_config(self.config)
|
|
self.ai_status = "config saved"
|
|
|
|
def _cb_disc_create(self):
|
|
nm = self.ui_disc_new_name_input.strip()
|
|
if nm:
|
|
self._create_discussion(nm)
|
|
self.ui_disc_new_name_input = ""
|
|
|
|
def _load_active_project(self):
|
|
if self.active_project_path and Path(self.active_project_path).exists():
|
|
try:
|
|
self.project = project_manager.load_project(self.active_project_path)
|
|
return
|
|
except Exception as e:
|
|
print(f"Failed to load project {self.active_project_path}: {e}")
|
|
|
|
for pp in self.project_paths:
|
|
if Path(pp).exists():
|
|
try:
|
|
self.project = project_manager.load_project(pp)
|
|
self.active_project_path = pp
|
|
return
|
|
except Exception:
|
|
continue
|
|
|
|
self.project = project_manager.migrate_from_legacy_config(self.config)
|
|
name = self.project.get("project", {}).get("name", "project")
|
|
fallback_path = f"{name}.toml"
|
|
project_manager.save_project(self.project, fallback_path)
|
|
self.active_project_path = fallback_path
|
|
if fallback_path not in self.project_paths:
|
|
self.project_paths.append(fallback_path)
|
|
|
|
def _switch_project(self, path: str):
|
|
if not Path(path).exists():
|
|
self.ai_status = f"project file not found: {path}"
|
|
return
|
|
|
|
self._flush_to_project()
|
|
self._save_active_project()
|
|
|
|
try:
|
|
self.project = project_manager.load_project(path)
|
|
self.active_project_path = path
|
|
except Exception as e:
|
|
self.ai_status = f"failed to load project: {e}"
|
|
return
|
|
|
|
self._refresh_from_project()
|
|
self._discussion_names_dirty = True
|
|
ai_client.reset_session()
|
|
self.ai_status = f"switched to: {Path(path).stem}"
|
|
|
|
def _refresh_from_project(self):
|
|
self.files = list(self.project.get("files", {}).get("paths", []))
|
|
self.screenshots = list(self.project.get("screenshots", {}).get("paths", []))
|
|
|
|
disc_sec = self.project.get("discussion", {})
|
|
self.disc_roles = list(disc_sec.get("roles", list(DISC_ROLES)))
|
|
self.active_discussion = disc_sec.get("active", "main")
|
|
|
|
disc_data = disc_sec.get("discussions", {}).get(self.active_discussion, {})
|
|
self.disc_entries = _parse_history_entries(disc_data.get("history", []), self.disc_roles)
|
|
|
|
proj = self.project
|
|
self.ui_output_dir = proj.get("output", {}).get("output_dir", "./md_gen")
|
|
self.ui_files_base_dir = proj.get("files", {}).get("base_dir", ".")
|
|
self.ui_shots_base_dir = proj.get("screenshots", {}).get("base_dir", ".")
|
|
self.ui_project_git_dir = proj.get("project", {}).get("git_dir", "")
|
|
self.ui_project_system_prompt = proj.get("project", {}).get("system_prompt", "")
|
|
self.ui_project_main_context = proj.get("project", {}).get("main_context", "")
|
|
self.ui_gemini_cli_path = proj.get("gemini_cli", {}).get("binary_path", "gemini")
|
|
self.ui_auto_add_history = proj.get("discussion", {}).get("auto_add", False)
|
|
self.ui_auto_scroll_comms = proj.get("project", {}).get("auto_scroll_comms", True)
|
|
self.ui_auto_scroll_tool_calls = proj.get("project", {}).get("auto_scroll_tool_calls", True)
|
|
self.ui_word_wrap = proj.get("project", {}).get("word_wrap", True)
|
|
self.ui_summary_only = proj.get("project", {}).get("summary_only", False)
|
|
|
|
agent_tools_cfg = proj.get("agent", {}).get("tools", {})
|
|
self.ui_agent_tools = {t: agent_tools_cfg.get(t, True) for t in AGENT_TOOL_NAMES}
|
|
|
|
# MMA Tracks
|
|
self.tracks = project_manager.get_all_tracks(self.ui_files_base_dir)
|
|
|
|
# Restore MMA state
|
|
mma_sec = proj.get("mma", {})
|
|
self.ui_epic_input = mma_sec.get("epic", "")
|
|
at_data = mma_sec.get("active_track")
|
|
if at_data:
|
|
try:
|
|
tickets = []
|
|
for t_data in at_data.get("tickets", []):
|
|
tickets.append(Ticket(**t_data))
|
|
self.active_track = Track(
|
|
id=at_data.get("id"),
|
|
description=at_data.get("description"),
|
|
tickets=tickets
|
|
)
|
|
self.active_tickets = at_data.get("tickets", []) # Keep dicts for UI table
|
|
except Exception as e:
|
|
print(f"Failed to deserialize active track: {e}")
|
|
self.active_track = None
|
|
else:
|
|
self.active_track = None
|
|
self.active_tickets = []
|
|
|
|
# Load track-scoped history if track is active
|
|
if self.active_track:
|
|
track_history = project_manager.load_track_history(self.active_track.id, self.ui_files_base_dir)
|
|
if track_history:
|
|
self.disc_entries = _parse_history_entries(track_history, self.disc_roles)
|
|
|
|
def _cb_load_track(self, track_id: str):
|
|
state = project_manager.load_track_state(track_id, self.ui_files_base_dir)
|
|
if state:
|
|
try:
|
|
# Convert list[Ticket] or list[dict] to list[Ticket] for Track object
|
|
tickets = []
|
|
for t in state.tasks:
|
|
if isinstance(t, dict):
|
|
tickets.append(Ticket(**t))
|
|
else:
|
|
tickets.append(t)
|
|
|
|
self.active_track = Track(
|
|
id=state.metadata.id,
|
|
description=state.metadata.name,
|
|
tickets=tickets
|
|
)
|
|
# Keep dicts for UI table (or convert Ticket objects back to dicts if needed)
|
|
from dataclasses import asdict
|
|
self.active_tickets = [asdict(t) if not isinstance(t, dict) else t for t in tickets]
|
|
|
|
# Load track-scoped history
|
|
history = project_manager.load_track_history(track_id, self.ui_files_base_dir)
|
|
if history:
|
|
self.disc_entries = _parse_history_entries(history, self.disc_roles)
|
|
else:
|
|
self.disc_entries = []
|
|
|
|
self._recalculate_session_usage()
|
|
self.ai_status = f"Loaded track: {state.metadata.name}"
|
|
except Exception as e:
|
|
self.ai_status = f"Load track error: {e}"
|
|
print(f"Error loading track {track_id}: {e}")
|
|
|
|
def _save_active_project(self):
|
|
if self.active_project_path:
|
|
try:
|
|
project_manager.save_project(self.project, self.active_project_path)
|
|
except Exception as e:
|
|
self.ai_status = f"save error: {e}"
|
|
|
|
# ---------------------------------------------------------------- discussion management
|
|
|
|
def _get_discussion_names(self) -> list[str]:
|
|
if self._discussion_names_dirty:
|
|
disc_sec = self.project.get("discussion", {})
|
|
discussions = disc_sec.get("discussions", {})
|
|
self._discussion_names_cache = sorted(discussions.keys())
|
|
self._discussion_names_dirty = False
|
|
return self._discussion_names_cache
|
|
|
|
def _switch_discussion(self, name: str):
|
|
self._flush_disc_entries_to_project()
|
|
|
|
disc_sec = self.project.get("discussion", {})
|
|
discussions = disc_sec.get("discussions", {})
|
|
if name not in discussions:
|
|
self.ai_status = f"discussion not found: {name}"
|
|
return
|
|
|
|
self.active_discussion = name
|
|
disc_sec["active"] = name
|
|
self._discussion_names_dirty = True
|
|
|
|
disc_data = discussions[name]
|
|
self.disc_entries = _parse_history_entries(disc_data.get("history", []), self.disc_roles)
|
|
self.ai_status = f"discussion: {name}"
|
|
|
|
def _flush_disc_entries_to_project(self):
|
|
history_strings = [project_manager.entry_to_str(e) for e in self.disc_entries]
|
|
if self.active_track:
|
|
project_manager.save_track_history(self.active_track.id, history_strings, self.ui_files_base_dir)
|
|
return
|
|
|
|
disc_sec = self.project.setdefault("discussion", {})
|
|
discussions = disc_sec.setdefault("discussions", {})
|
|
disc_data = discussions.setdefault(self.active_discussion, project_manager.default_discussion())
|
|
disc_data["history"] = history_strings
|
|
disc_data["last_updated"] = project_manager.now_ts()
|
|
|
|
def _create_discussion(self, name: str):
|
|
disc_sec = self.project.setdefault("discussion", {})
|
|
discussions = disc_sec.setdefault("discussions", {})
|
|
if name in discussions:
|
|
self.ai_status = f"discussion '{name}' already exists"
|
|
return
|
|
discussions[name] = project_manager.default_discussion()
|
|
self._discussion_names_dirty = True
|
|
self._switch_discussion(name)
|
|
|
|
def _rename_discussion(self, old_name: str, new_name: str):
|
|
disc_sec = self.project.get("discussion", {})
|
|
discussions = disc_sec.get("discussions", {})
|
|
if old_name not in discussions:
|
|
return
|
|
if new_name in discussions:
|
|
self.ai_status = f"discussion '{new_name}' already exists"
|
|
return
|
|
discussions[new_name] = discussions.pop(old_name)
|
|
self._discussion_names_dirty = True
|
|
if self.active_discussion == old_name:
|
|
self.active_discussion = new_name
|
|
disc_sec["active"] = new_name
|
|
|
|
def _delete_discussion(self, name: str):
|
|
disc_sec = self.project.get("discussion", {})
|
|
discussions = disc_sec.get("discussions", {})
|
|
if len(discussions) <= 1:
|
|
self.ai_status = "cannot delete the last discussion"
|
|
return
|
|
if name not in discussions:
|
|
return
|
|
del discussions[name]
|
|
self._discussion_names_dirty = True
|
|
if self.active_discussion == name:
|
|
remaining = sorted(discussions.keys())
|
|
self._switch_discussion(remaining[0])
|
|
|
|
# ---------------------------------------------------------------- logic
|
|
|
|
def _on_comms_entry(self, entry: dict):
|
|
session_logger.log_comms(entry)
|
|
entry["local_ts"] = time.time()
|
|
|
|
# If this is a history_add kind, route it to history queue instead
|
|
if entry.get("kind") == "history_add":
|
|
payload = entry.get("payload", {})
|
|
with self._pending_history_adds_lock:
|
|
self._pending_history_adds.append({
|
|
"role": payload.get("role", "AI"),
|
|
"content": payload.get("content", ""),
|
|
"collapsed": payload.get("collapsed", False),
|
|
"ts": entry.get("ts", project_manager.now_ts())
|
|
})
|
|
return
|
|
|
|
with self._pending_comms_lock:
|
|
self._pending_comms.append(entry)
|
|
|
|
def _on_tool_log(self, script: str, result: str):
|
|
session_logger.log_tool_call(script, result, None)
|
|
with self._pending_tool_calls_lock:
|
|
self._pending_tool_calls.append((script, result, time.time()))
|
|
|
|
def _on_api_event(self, *args, **kwargs):
|
|
payload = kwargs.get("payload", {})
|
|
with self._pending_gui_tasks_lock:
|
|
self._pending_gui_tasks.append({"action": "refresh_api_metrics", "payload": payload})
|
|
|
|
def _on_performance_alert(self, message: str):
|
|
"""Called by PerformanceMonitor when a threshold is exceeded."""
|
|
alert_text = f"[PERFORMANCE ALERT] {message}. Please consider optimizing recent changes or reducing load."
|
|
# Inject into history as a 'System' message
|
|
with self._pending_history_adds_lock:
|
|
self._pending_history_adds.append({
|
|
"role": "System",
|
|
"content": alert_text,
|
|
"ts": project_manager.now_ts()
|
|
})
|
|
|
|
def _process_pending_gui_tasks(self):
|
|
if not self._pending_gui_tasks:
|
|
return
|
|
with self._pending_gui_tasks_lock:
|
|
tasks = self._pending_gui_tasks[:]
|
|
self._pending_gui_tasks.clear()
|
|
|
|
for task in tasks:
|
|
try:
|
|
action = task.get("action")
|
|
if action == "refresh_api_metrics":
|
|
self._refresh_api_metrics(task.get("payload", {}))
|
|
|
|
elif action == "handle_ai_response":
|
|
payload = task.get("payload", {})
|
|
text = payload.get("text", "")
|
|
stream_id = payload.get("stream_id")
|
|
|
|
if stream_id:
|
|
self.mma_streams[stream_id] = text
|
|
if stream_id == "Tier 1":
|
|
if "status" in payload:
|
|
self.ai_status = payload["status"]
|
|
else:
|
|
self.ai_response = text
|
|
self.ai_status = payload.get("status", "done")
|
|
|
|
self._trigger_blink = True
|
|
if self.ui_auto_add_history and not stream_id:
|
|
role = payload.get("role", "AI")
|
|
with self._pending_history_adds_lock:
|
|
self._pending_history_adds.append({
|
|
"role": role,
|
|
"content": self.ai_response,
|
|
"collapsed": False,
|
|
"ts": project_manager.now_ts()
|
|
})
|
|
|
|
elif action == "show_track_proposal":
|
|
self.proposed_tracks = task.get("payload", [])
|
|
self._show_track_proposal_modal = True
|
|
|
|
elif action == "mma_state_update":
|
|
payload = task.get("payload", {})
|
|
self.mma_status = payload.get("status", "idle")
|
|
self.active_tier = payload.get("active_tier")
|
|
self.mma_tier_usage = payload.get("tier_usage", self.mma_tier_usage)
|
|
self.active_track = payload.get("track")
|
|
self.active_tickets = payload.get("tickets", [])
|
|
|
|
elif action == "set_value":
|
|
item = task.get("item")
|
|
value = task.get("value")
|
|
if item in self._settable_fields:
|
|
attr_name = self._settable_fields[item]
|
|
setattr(self, attr_name, value)
|
|
|
|
if item == "gcli_path":
|
|
if not ai_client._gemini_cli_adapter:
|
|
ai_client._gemini_cli_adapter = ai_client.GeminiCliAdapter(binary_path=value)
|
|
else:
|
|
ai_client._gemini_cli_adapter.binary_path = value
|
|
|
|
elif action == "click":
|
|
item = task.get("item")
|
|
user_data = task.get("user_data")
|
|
if item == "btn_project_new_automated":
|
|
self._cb_new_project_automated(user_data)
|
|
elif item in self._clickable_actions:
|
|
# Check if it's a method that accepts user_data
|
|
import inspect
|
|
func = self._clickable_actions[item]
|
|
try:
|
|
sig = inspect.signature(func)
|
|
if 'user_data' in sig.parameters:
|
|
func(user_data=user_data)
|
|
else:
|
|
func()
|
|
except Exception:
|
|
func()
|
|
|
|
elif action == "select_list_item":
|
|
item = task.get("listbox", task.get("item"))
|
|
value = task.get("item_value", task.get("value"))
|
|
if item == "disc_listbox":
|
|
self._switch_discussion(value)
|
|
|
|
elif task.get("type") == "ask":
|
|
self._pending_ask_dialog = True
|
|
self._ask_request_id = task.get("request_id")
|
|
self._ask_tool_data = task.get("data", {})
|
|
|
|
elif action == "clear_ask":
|
|
if self._ask_request_id == task.get("request_id"):
|
|
self._pending_ask_dialog = False
|
|
self._ask_request_id = None
|
|
self._ask_tool_data = None
|
|
|
|
elif action == "custom_callback":
|
|
cb = task.get("callback")
|
|
args = task.get("args", [])
|
|
if callable(cb):
|
|
try: cb(*args)
|
|
except Exception as e: print(f"Error in direct custom callback: {e}")
|
|
elif cb in self._predefined_callbacks:
|
|
self._predefined_callbacks[cb](*args)
|
|
|
|
elif action == "mma_step_approval":
|
|
dlg = MMAApprovalDialog(task.get("ticket_id"), task.get("payload"))
|
|
self._pending_mma_approval = task
|
|
if "dialog_container" in task:
|
|
task["dialog_container"][0] = dlg
|
|
|
|
elif action == "mma_spawn_approval":
|
|
dlg = MMASpawnApprovalDialog(
|
|
task.get("ticket_id"),
|
|
task.get("role"),
|
|
task.get("prompt"),
|
|
task.get("context_md")
|
|
)
|
|
self._pending_mma_spawn = task
|
|
self._mma_spawn_prompt = task.get("prompt", "")
|
|
self._mma_spawn_context = task.get("context_md", "")
|
|
self._mma_spawn_open = True
|
|
self._mma_spawn_edit_mode = False
|
|
if "dialog_container" in task:
|
|
task["dialog_container"][0] = dlg
|
|
|
|
except Exception as e:
|
|
print(f"Error executing GUI task: {e}")
|
|
|
|
def _handle_approve_script(self):
|
|
"""Logic for approving a pending script via API hooks."""
|
|
print("[DEBUG] _handle_approve_script called")
|
|
with self._pending_dialog_lock:
|
|
if self._pending_dialog:
|
|
print(f"[DEBUG] Approving dialog for: {self._pending_dialog._script[:50]}...")
|
|
with self._pending_dialog._condition:
|
|
self._pending_dialog._approved = True
|
|
self._pending_dialog._done = True
|
|
self._pending_dialog._condition.notify_all()
|
|
self._pending_dialog = None
|
|
else:
|
|
print("[DEBUG] No pending dialog to approve")
|
|
|
|
def _handle_reject_script(self):
|
|
"""Logic for rejecting a pending script via API hooks."""
|
|
print("[DEBUG] _handle_reject_script called")
|
|
with self._pending_dialog_lock:
|
|
if self._pending_dialog:
|
|
print(f"[DEBUG] Rejecting dialog for: {self._pending_dialog._script[:50]}...")
|
|
with self._pending_dialog._condition:
|
|
self._pending_dialog._approved = False
|
|
self._pending_dialog._done = True
|
|
self._pending_dialog._condition.notify_all()
|
|
self._pending_dialog = None
|
|
else:
|
|
print("[DEBUG] No pending dialog to reject")
|
|
|
|
def _handle_mma_respond(self, approved: bool, payload: str = None, abort: bool = False, prompt: str = None, context_md: str = None):
|
|
if self._pending_mma_approval:
|
|
dlg = self._pending_mma_approval.get("dialog_container", [None])[0]
|
|
if dlg:
|
|
with dlg._condition:
|
|
dlg._approved = approved
|
|
if payload is not None:
|
|
dlg._payload = payload
|
|
dlg._done = True
|
|
dlg._condition.notify_all()
|
|
self._pending_mma_approval = None
|
|
|
|
if self._pending_mma_spawn:
|
|
dlg = self._pending_mma_spawn.get("dialog_container", [None])[0]
|
|
if dlg:
|
|
with dlg._condition:
|
|
dlg._approved = approved
|
|
dlg._abort = abort
|
|
if prompt is not None:
|
|
dlg._prompt = prompt
|
|
if context_md is not None:
|
|
dlg._context_md = context_md
|
|
dlg._done = True
|
|
dlg._condition.notify_all()
|
|
self._pending_mma_spawn = None
|
|
|
|
def _handle_approve_ask(self):
|
|
"""Responds with approval for a pending /api/ask request."""
|
|
if not self._ask_request_id: return
|
|
request_id = self._ask_request_id
|
|
def do_post():
|
|
try:
|
|
requests.post(
|
|
"http://127.0.0.1:8999/api/ask/respond",
|
|
json={"request_id": request_id, "response": {"approved": True}},
|
|
timeout=2
|
|
)
|
|
except Exception as e: print(f"Error responding to ask: {e}")
|
|
threading.Thread(target=do_post, daemon=True).start()
|
|
self._pending_ask_dialog = False
|
|
self._ask_request_id = None
|
|
self._ask_tool_data = None
|
|
|
|
def _handle_reject_ask(self):
|
|
"""Responds with rejection for a pending /api/ask request."""
|
|
if not self._ask_request_id: return
|
|
request_id = self._ask_request_id
|
|
def do_post():
|
|
try:
|
|
requests.post(
|
|
"http://127.0.0.1:8999/api/ask/respond",
|
|
json={"request_id": request_id, "response": {"approved": False}},
|
|
timeout=2
|
|
)
|
|
except Exception as e: print(f"Error responding to ask: {e}")
|
|
threading.Thread(target=do_post, daemon=True).start()
|
|
self._pending_ask_dialog = False
|
|
self._ask_request_id = None
|
|
self._ask_tool_data = None
|
|
|
|
def _handle_reset_session(self):
|
|
"""Logic for resetting the AI session."""
|
|
ai_client.reset_session()
|
|
ai_client.clear_comms_log()
|
|
self._tool_log.clear()
|
|
self._comms_log.clear()
|
|
self.disc_entries.clear()
|
|
|
|
# Clear history in project dict too
|
|
disc_sec = self.project.get("discussion", {})
|
|
discussions = disc_sec.get("discussions", {})
|
|
if self.active_discussion in discussions:
|
|
discussions[self.active_discussion]["history"] = []
|
|
|
|
self.ai_status = "session reset"
|
|
self.ai_response = ""
|
|
self.ui_ai_input = ""
|
|
|
|
def _handle_md_only(self):
|
|
"""Logic for the 'MD Only' action."""
|
|
try:
|
|
md, path, *_ = self._do_generate()
|
|
self.last_md = md
|
|
self.last_md_path = path
|
|
self.ai_status = f"md written: {path.name}"
|
|
# Refresh token budget metrics with CURRENT md
|
|
self._refresh_api_metrics({}, md_content=md)
|
|
except Exception as e:
|
|
self.ai_status = f"error: {e}"
|
|
|
|
def _handle_generate_send(self):
|
|
"""Logic for the 'Gen + Send' action."""
|
|
try:
|
|
md, path, file_items, stable_md, disc_text = self._do_generate()
|
|
self.last_md = md
|
|
self.last_md_path = path
|
|
self.last_file_items = file_items
|
|
except Exception as e:
|
|
self.ai_status = f"generate error: {e}"
|
|
return
|
|
|
|
self.ai_status = "sending..."
|
|
user_msg = self.ui_ai_input
|
|
base_dir = self.ui_files_base_dir
|
|
|
|
# Prepare event payload
|
|
event_payload = events.UserRequestEvent(
|
|
prompt=user_msg,
|
|
stable_md=stable_md,
|
|
file_items=file_items,
|
|
disc_text=disc_text,
|
|
base_dir=base_dir
|
|
)
|
|
|
|
# Push to async queue
|
|
asyncio.run_coroutine_threadsafe(
|
|
self.event_queue.put("user_request", event_payload),
|
|
self._loop
|
|
)
|
|
|
|
def _run_event_loop(self):
|
|
"""Runs the internal asyncio event loop."""
|
|
asyncio.set_event_loop(self._loop)
|
|
self._loop.create_task(self._process_event_queue())
|
|
self._loop.run_forever()
|
|
|
|
def shutdown(self):
|
|
"""Cleanly shuts down the app's background tasks."""
|
|
if self._loop.is_running():
|
|
self._loop.call_soon_threadsafe(self._loop.stop)
|
|
|
|
if self._loop_thread.is_alive():
|
|
self._loop_thread.join(timeout=2.0)
|
|
|
|
# Join other threads if they exist
|
|
if self.send_thread and self.send_thread.is_alive():
|
|
self.send_thread.join(timeout=1.0)
|
|
if self.models_thread and self.models_thread.is_alive():
|
|
self.models_thread.join(timeout=1.0)
|
|
|
|
async def _process_event_queue(self):
|
|
"""Listens for and processes events from the AsyncEventQueue."""
|
|
while True:
|
|
event_name, payload = await self.event_queue.get()
|
|
|
|
if event_name == "user_request":
|
|
# Handle the request (simulating what was previously in do_send thread)
|
|
self._handle_request_event(payload)
|
|
elif event_name == "response":
|
|
# Handle AI response event
|
|
with self._pending_gui_tasks_lock:
|
|
self._pending_gui_tasks.append({
|
|
"action": "handle_ai_response",
|
|
"payload": payload
|
|
})
|
|
elif event_name == "mma_state_update":
|
|
with self._pending_gui_tasks_lock:
|
|
self._pending_gui_tasks.append({
|
|
"action": "mma_state_update",
|
|
"payload": payload
|
|
})
|
|
|
|
def _handle_request_event(self, event: events.UserRequestEvent):
|
|
"""Processes a UserRequestEvent by calling the AI client."""
|
|
if self.ui_auto_add_history:
|
|
with self._pending_history_adds_lock:
|
|
self._pending_history_adds.append({
|
|
"role": "User",
|
|
"content": event.prompt,
|
|
"collapsed": False,
|
|
"ts": project_manager.now_ts()
|
|
})
|
|
|
|
csp = filter(bool, [self.ui_global_system_prompt.strip(), self.ui_project_system_prompt.strip()])
|
|
ai_client.set_custom_system_prompt("\n\n".join(csp))
|
|
ai_client.set_model_params(self.temperature, self.max_tokens, self.history_trunc_limit)
|
|
ai_client.set_agent_tools(self.ui_agent_tools)
|
|
|
|
try:
|
|
resp = ai_client.send(event.stable_md, event.prompt, event.base_dir, event.file_items, event.disc_text)
|
|
# Emit response event
|
|
asyncio.run_coroutine_threadsafe(
|
|
self.event_queue.put("response", {"text": resp, "status": "done"}),
|
|
self._loop
|
|
)
|
|
except ProviderError as e:
|
|
asyncio.run_coroutine_threadsafe(
|
|
self.event_queue.put("response", {"text": e.ui_message(), "status": "error", "role": "Vendor API"}),
|
|
self._loop
|
|
)
|
|
except Exception as e:
|
|
asyncio.run_coroutine_threadsafe(
|
|
self.event_queue.put("response", {"text": f"ERROR: {e}", "status": "error", "role": "System"}),
|
|
self._loop
|
|
)
|
|
|
|
def _test_callback_func_write_to_file(self, data: str):
|
|
"""A dummy function that a custom_callback would execute for testing."""
|
|
# Note: This file path is relative to where the test is run.
|
|
# This is for testing purposes only.
|
|
with open("temp_callback_output.txt", "w") as f:
|
|
f.write(data)
|
|
|
|
def _recalculate_session_usage(self):
|
|
usage = {"input_tokens": 0, "output_tokens": 0, "cache_read_input_tokens": 0, "cache_creation_input_tokens": 0, "total_tokens": 0, "last_latency": 0.0}
|
|
for entry in ai_client.get_comms_log():
|
|
if entry.get("kind") == "response" and "usage" in entry.get("payload", {}):
|
|
u = entry["payload"]["usage"]
|
|
for k in ["input_tokens", "output_tokens", "cache_read_input_tokens", "cache_creation_input_tokens", "total_tokens"]:
|
|
if k in usage:
|
|
usage[k] += u.get(k, 0) or 0
|
|
self.session_usage = usage
|
|
|
|
def _refresh_api_metrics(self, payload: dict, md_content: str | None = None):
|
|
if "latency" in payload:
|
|
self.session_usage["last_latency"] = payload["latency"]
|
|
self._recalculate_session_usage()
|
|
|
|
def fetch_stats():
|
|
try:
|
|
stats = ai_client.get_history_bleed_stats(md_content=md_content or self.last_md)
|
|
self._token_budget_pct = stats.get("percentage", 0.0) / 100.0
|
|
self._token_budget_current = stats.get("current", 0)
|
|
self._token_budget_limit = stats.get("limit", 0)
|
|
except Exception:
|
|
pass
|
|
|
|
threading.Thread(target=fetch_stats, daemon=True).start()
|
|
|
|
cache_stats = payload.get("cache_stats")
|
|
if cache_stats:
|
|
count = cache_stats.get("cache_count", 0)
|
|
size_bytes = cache_stats.get("total_size_bytes", 0)
|
|
self._gemini_cache_text = f"Gemini Caches: {count} ({size_bytes / 1024:.1f} KB)"
|
|
|
|
def cb_load_prior_log(self):
|
|
root = hide_tk_root()
|
|
path = filedialog.askopenfilename(
|
|
title="Load Session Log",
|
|
initialdir="logs",
|
|
filetypes=[("Log/JSONL", "*.log *.jsonl"), ("All Files", "*.*")]
|
|
)
|
|
root.destroy()
|
|
if not path:
|
|
return
|
|
entries = []
|
|
try:
|
|
with open(path, "r", encoding="utf-8") as f:
|
|
for line in f:
|
|
line = line.strip()
|
|
if line:
|
|
try:
|
|
entries.append(json.loads(line))
|
|
except json.JSONDecodeError:
|
|
continue
|
|
except Exception as e:
|
|
self.ai_status = f"log load error: {e}"
|
|
return
|
|
self.prior_session_entries = entries
|
|
self.is_viewing_prior_session = True
|
|
self.ai_status = f"viewing prior session: {Path(path).name} ({len(entries)} entries)"
|
|
|
|
def _confirm_and_run(self, script: str, base_dir: str, qa_callback: Optional[Callable[[str], str]] = None) -> str | None:
|
|
print(f"[DEBUG] _confirm_and_run triggered for script length: {len(script)}")
|
|
dialog = ConfirmDialog(script, base_dir)
|
|
|
|
is_headless = "--headless" in sys.argv
|
|
|
|
if is_headless:
|
|
with self._pending_dialog_lock:
|
|
self._pending_actions[dialog._uid] = dialog
|
|
print(f"[PENDING_ACTION] Created action {dialog._uid}")
|
|
else:
|
|
with self._pending_dialog_lock:
|
|
self._pending_dialog = dialog
|
|
|
|
# Notify API hook subscribers
|
|
if self.test_hooks_enabled and hasattr(self, '_api_event_queue'):
|
|
print("[DEBUG] Pushing script_confirmation_required event to queue")
|
|
with self._api_event_queue_lock:
|
|
self._api_event_queue.append({
|
|
"type": "script_confirmation_required",
|
|
"action_id": dialog._uid,
|
|
"script": str(script),
|
|
"base_dir": str(base_dir),
|
|
"ts": time.time()
|
|
})
|
|
|
|
approved, final_script = dialog.wait()
|
|
|
|
if is_headless:
|
|
with self._pending_dialog_lock:
|
|
if dialog._uid in self._pending_actions:
|
|
del self._pending_actions[dialog._uid]
|
|
|
|
print(f"[DEBUG] _confirm_and_run result: approved={approved}")
|
|
if not approved:
|
|
self._append_tool_log(final_script, "REJECTED by user")
|
|
return None
|
|
|
|
self.ai_status = "running powershell..."
|
|
print(f"[DEBUG] Running powershell in {base_dir}")
|
|
output = shell_runner.run_powershell(final_script, base_dir, qa_callback=qa_callback)
|
|
self._append_tool_log(final_script, output)
|
|
self.ai_status = "powershell done, awaiting AI..."
|
|
return output
|
|
|
|
def resolve_pending_action(self, action_id: str, approved: bool):
|
|
"""Resolves a pending PowerShell script confirmation by its ID.
|
|
|
|
Args:
|
|
action_id: The unique identifier for the pending action.
|
|
approved: True if the script should be executed, False otherwise.
|
|
|
|
Returns:
|
|
bool: True if the action was found and resolved, False otherwise.
|
|
"""
|
|
with self._pending_dialog_lock:
|
|
if action_id in self._pending_actions:
|
|
dialog = self._pending_actions[action_id]
|
|
with dialog._condition:
|
|
dialog._approved = approved
|
|
dialog._done = True
|
|
dialog._condition.notify_all()
|
|
return True
|
|
elif self._pending_dialog and self._pending_dialog._uid == action_id:
|
|
dialog = self._pending_dialog
|
|
with dialog._condition:
|
|
dialog._approved = approved
|
|
dialog._done = True
|
|
dialog._condition.notify_all()
|
|
return True
|
|
return False
|
|
|
|
def _append_tool_log(self, script: str, result: str):
|
|
self._tool_log.append((script, result, time.time()))
|
|
self.ui_last_script_text = script
|
|
self.ui_last_script_output = result
|
|
self._trigger_script_blink = True
|
|
self.show_script_output = True
|
|
if self.ui_auto_scroll_tool_calls:
|
|
self._scroll_tool_calls_to_bottom = True
|
|
|
|
def _flush_to_project(self):
|
|
proj = self.project
|
|
proj.setdefault("output", {})["output_dir"] = self.ui_output_dir
|
|
proj.setdefault("files", {})["base_dir"] = self.ui_files_base_dir
|
|
proj["files"]["paths"] = self.files
|
|
proj.setdefault("screenshots", {})["base_dir"] = self.ui_shots_base_dir
|
|
proj["screenshots"]["paths"] = self.screenshots
|
|
|
|
proj.setdefault("project", {})
|
|
proj["project"]["git_dir"] = self.ui_project_git_dir
|
|
proj["project"]["system_prompt"] = self.ui_project_system_prompt
|
|
proj["project"]["main_context"] = self.ui_project_main_context
|
|
proj["project"]["word_wrap"] = self.ui_word_wrap
|
|
proj["project"]["summary_only"] = self.ui_summary_only
|
|
proj["project"]["auto_scroll_comms"] = self.ui_auto_scroll_comms
|
|
proj["project"]["auto_scroll_tool_calls"] = self.ui_auto_scroll_tool_calls
|
|
|
|
proj.setdefault("gemini_cli", {})["binary_path"] = self.ui_gemini_cli_path
|
|
|
|
proj.setdefault("agent", {}).setdefault("tools", {})
|
|
for t_name in AGENT_TOOL_NAMES:
|
|
proj["agent"]["tools"][t_name] = self.ui_agent_tools.get(t_name, True)
|
|
|
|
self._flush_disc_entries_to_project()
|
|
disc_sec = proj.setdefault("discussion", {})
|
|
disc_sec["roles"] = self.disc_roles
|
|
disc_sec["active"] = self.active_discussion
|
|
disc_sec["auto_add"] = self.ui_auto_add_history
|
|
|
|
# Save MMA State
|
|
mma_sec = proj.setdefault("mma", {})
|
|
mma_sec["epic"] = self.ui_epic_input
|
|
if self.active_track:
|
|
# We only persist the basic metadata if full serialization is too complex
|
|
# For now, let's try full serialization via asdict
|
|
from dataclasses import asdict
|
|
mma_sec["active_track"] = asdict(self.active_track)
|
|
else:
|
|
mma_sec["active_track"] = None
|
|
|
|
def _flush_to_config(self):
|
|
self.config["ai"] = {
|
|
"provider": self.current_provider,
|
|
"model": self.current_model,
|
|
"temperature": self.temperature,
|
|
"max_tokens": self.max_tokens,
|
|
"history_trunc_limit": self.history_trunc_limit,
|
|
}
|
|
self.config["ai"]["system_prompt"] = self.ui_global_system_prompt
|
|
self.config["projects"] = {"paths": self.project_paths, "active": self.active_project_path}
|
|
self.config["gui"] = {"show_windows": self.show_windows}
|
|
theme.save_to_config(self.config)
|
|
|
|
def _do_generate(self) -> tuple[str, Path, list, str, str]:
|
|
"""Returns (full_md, output_path, file_items, stable_md, discussion_text)."""
|
|
self._flush_to_project()
|
|
self._save_active_project()
|
|
self._flush_to_config()
|
|
save_config(self.config)
|
|
track_id = self.active_track.id if self.active_track else None
|
|
flat = project_manager.flat_config(self.project, self.active_discussion, track_id=track_id)
|
|
full_md, path, file_items = aggregate.run(flat)
|
|
# Build stable markdown (no history) for Gemini caching
|
|
screenshot_base_dir = Path(flat.get("screenshots", {}).get("base_dir", "."))
|
|
screenshots = flat.get("screenshots", {}).get("paths", [])
|
|
summary_only = flat.get("project", {}).get("summary_only", False)
|
|
stable_md = aggregate.build_markdown_no_history(file_items, screenshot_base_dir, screenshots, summary_only=summary_only)
|
|
# Build discussion history text separately
|
|
history = flat.get("discussion", {}).get("history", [])
|
|
discussion_text = aggregate.build_discussion_text(history)
|
|
return full_md, path, file_items, stable_md, discussion_text
|
|
|
|
def _fetch_models(self, provider: str):
|
|
self.ai_status = "fetching models..."
|
|
def do_fetch():
|
|
try:
|
|
models = ai_client.list_models(provider)
|
|
self.available_models = models
|
|
if self.current_model not in models and models:
|
|
self.current_model = models[0]
|
|
ai_client.set_provider(self.current_provider, self.current_model)
|
|
self.ai_status = f"models loaded: {len(models)}"
|
|
except Exception as e:
|
|
self.ai_status = f"model fetch error: {e}"
|
|
self.models_thread = threading.Thread(target=do_fetch, daemon=True)
|
|
self.models_thread.start()
|
|
|
|
# ---------------------------------------------------------------- helpers
|
|
|
|
def _render_text_viewer(self, label: str, content: str):
|
|
if imgui.button("[+]##" + str(id(content))):
|
|
self.show_text_viewer = True
|
|
self.text_viewer_title = label
|
|
self.text_viewer_content = content
|
|
|
|
def _render_heavy_text(self, label: str, content: str):
|
|
imgui.text_colored(C_LBL, f"{label}:")
|
|
imgui.same_line()
|
|
if imgui.button("[+]##" + label):
|
|
self.show_text_viewer = True
|
|
self.text_viewer_title = label
|
|
self.text_viewer_content = content
|
|
|
|
if len(content) > COMMS_CLAMP_CHARS:
|
|
if self.ui_word_wrap:
|
|
imgui.push_text_wrap_pos(imgui.get_content_region_avail().x)
|
|
imgui.text(content)
|
|
imgui.pop_text_wrap_pos()
|
|
else:
|
|
if imgui.begin_child(f"heavy_text_child_{label}", imgui.ImVec2(0, 80), True):
|
|
imgui.input_text_multiline(f"##{label}_input", content, imgui.ImVec2(-1, -1), imgui.InputTextFlags_.read_only)
|
|
imgui.end_child()
|
|
else:
|
|
if self.ui_word_wrap:
|
|
imgui.push_text_wrap_pos(imgui.get_content_region_avail().x)
|
|
imgui.text(content if content else "(empty)")
|
|
imgui.pop_text_wrap_pos()
|
|
else:
|
|
imgui.text(content if content else "(empty)")
|
|
|
|
# ---------------------------------------------------------------- gui
|
|
|
|
def _show_menus(self):
|
|
if imgui.begin_menu("Windows"):
|
|
for w in self.show_windows.keys():
|
|
_, self.show_windows[w] = imgui.menu_item(w, "", self.show_windows[w])
|
|
imgui.end_menu()
|
|
if imgui.begin_menu("Project"):
|
|
if imgui.menu_item("Save All", "", False)[0]:
|
|
self._flush_to_project()
|
|
self._save_active_project()
|
|
self._flush_to_config()
|
|
save_config(self.config)
|
|
self.ai_status = "config saved"
|
|
if imgui.menu_item("Reset Session", "", False)[0]:
|
|
ai_client.reset_session()
|
|
ai_client.clear_comms_log()
|
|
self._tool_log.clear()
|
|
self._comms_log.clear()
|
|
self.ai_status = "session reset"
|
|
self.ai_response = ""
|
|
if imgui.menu_item("Generate MD Only", "", False)[0]:
|
|
try:
|
|
md, path, *_ = self._do_generate()
|
|
self.last_md = md
|
|
self.last_md_path = path
|
|
self.ai_status = f"md written: {path.name}"
|
|
except Exception as e:
|
|
self.ai_status = f"error: {e}"
|
|
imgui.end_menu()
|
|
|
|
def _gui_func(self):
|
|
try:
|
|
self.perf_monitor.start_frame()
|
|
|
|
# Process GUI task queue
|
|
self._process_pending_gui_tasks()
|
|
|
|
self._render_track_proposal_modal()
|
|
|
|
# Auto-save (every 60s)
|
|
now = time.time()
|
|
if now - self._last_autosave >= self._autosave_interval:
|
|
self._last_autosave = now
|
|
try:
|
|
self._flush_to_project()
|
|
self._save_active_project()
|
|
self._flush_to_config()
|
|
save_config(self.config)
|
|
except Exception:
|
|
pass # silent — don't disrupt the GUI loop
|
|
|
|
# Sync pending comms
|
|
with self._pending_comms_lock:
|
|
if self._pending_comms and self.ui_auto_scroll_comms:
|
|
self._scroll_comms_to_bottom = True
|
|
for c in self._pending_comms:
|
|
self._comms_log.append(c)
|
|
self._pending_comms.clear()
|
|
|
|
with self._pending_tool_calls_lock:
|
|
if self._pending_tool_calls and self.ui_auto_scroll_tool_calls:
|
|
self._scroll_tool_calls_to_bottom = True
|
|
for tc in self._pending_tool_calls:
|
|
self._tool_log.append(tc)
|
|
self._pending_tool_calls.clear()
|
|
|
|
# Sync pending history adds
|
|
with self._pending_history_adds_lock:
|
|
if self._pending_history_adds:
|
|
self._scroll_disc_to_bottom = True
|
|
for item in self._pending_history_adds:
|
|
if item["role"] not in self.disc_roles:
|
|
self.disc_roles.append(item["role"])
|
|
self.disc_entries.append(item)
|
|
self._pending_history_adds.clear()
|
|
|
|
# ---- Menubar
|
|
if imgui.begin_main_menu_bar():
|
|
if imgui.begin_menu("manual slop"):
|
|
if imgui.menu_item("Quit", "Ctrl+Q", False)[0]:
|
|
self.should_quit = True
|
|
imgui.end_menu()
|
|
|
|
if imgui.begin_menu("View"):
|
|
for name in self.show_windows:
|
|
_, self.show_windows[name] = imgui.menu_item(name, "", self.show_windows[name])
|
|
imgui.end_menu()
|
|
|
|
if imgui.begin_menu("Project"):
|
|
if imgui.menu_item("Save All", "Ctrl+S", False)[0]:
|
|
self._flush_to_project()
|
|
self._save_active_project()
|
|
self._flush_to_config()
|
|
save_config(self.config)
|
|
self.ai_status = "config saved"
|
|
if imgui.menu_item("Generate MD Only", "", False)[0]:
|
|
self._handle_md_only()
|
|
if imgui.menu_item("Reset Session", "", False)[0]:
|
|
self._handle_reset_session()
|
|
imgui.end_menu()
|
|
imgui.end_main_menu_bar()
|
|
|
|
# --- Hubs ---
|
|
if self.show_windows.get("Context Hub", False):
|
|
exp, self.show_windows["Context Hub"] = imgui.begin("Context Hub", self.show_windows["Context Hub"])
|
|
if exp:
|
|
self._render_projects_panel()
|
|
imgui.end()
|
|
|
|
if self.show_windows.get("Files & Media", False):
|
|
exp, self.show_windows["Files & Media"] = imgui.begin("Files & Media", self.show_windows["Files & Media"])
|
|
if exp:
|
|
if imgui.collapsing_header("Files"):
|
|
self._render_files_panel()
|
|
if imgui.collapsing_header("Screenshots"):
|
|
self._render_screenshots_panel()
|
|
imgui.end()
|
|
|
|
if self.show_windows.get("AI Settings", False):
|
|
exp, self.show_windows["AI Settings"] = imgui.begin("AI Settings", self.show_windows["AI Settings"])
|
|
if exp:
|
|
if imgui.collapsing_header("Provider & Model"):
|
|
self._render_provider_panel()
|
|
if imgui.collapsing_header("System Prompts"):
|
|
self._render_system_prompts_panel()
|
|
imgui.end()
|
|
|
|
if self.show_windows.get("MMA Dashboard", False):
|
|
exp, self.show_windows["MMA Dashboard"] = imgui.begin("MMA Dashboard", self.show_windows["MMA Dashboard"])
|
|
if exp:
|
|
self._render_mma_dashboard()
|
|
imgui.end()
|
|
|
|
if self.show_windows.get("Theme", False):
|
|
self._render_theme_panel()
|
|
|
|
if self.show_windows.get("Discussion Hub", False):
|
|
exp, self.show_windows["Discussion Hub"] = imgui.begin("Discussion Hub", self.show_windows["Discussion Hub"])
|
|
if exp:
|
|
# Top part for the history
|
|
if imgui.begin_child("HistoryChild", size=(0, -200)):
|
|
self._render_discussion_panel()
|
|
imgui.end_child()
|
|
|
|
# Bottom part with tabs for message and response
|
|
if imgui.begin_tab_bar("MessageResponseTabs"):
|
|
if imgui.begin_tab_item("Message")[0]:
|
|
self._render_message_panel()
|
|
imgui.end_tab_item()
|
|
if imgui.begin_tab_item("Response")[0]:
|
|
self._render_response_panel()
|
|
imgui.end_tab_item()
|
|
imgui.end_tab_bar()
|
|
imgui.end()
|
|
|
|
if self.show_windows.get("Operations Hub", False):
|
|
exp, self.show_windows["Operations Hub"] = imgui.begin("Operations Hub", self.show_windows["Operations Hub"])
|
|
if exp:
|
|
if imgui.begin_tab_bar("OperationsTabs"):
|
|
if imgui.begin_tab_item("Tool Calls")[0]:
|
|
self._render_tool_calls_panel()
|
|
imgui.end_tab_item()
|
|
if imgui.begin_tab_item("Comms History")[0]:
|
|
self._render_comms_history_panel()
|
|
imgui.end_tab_item()
|
|
imgui.end_tab_bar()
|
|
imgui.end()
|
|
|
|
if self.show_windows.get("Log Management", False):
|
|
self._render_log_management()
|
|
|
|
if self.show_windows["Diagnostics"]:
|
|
exp, self.show_windows["Diagnostics"] = imgui.begin("Diagnostics", self.show_windows["Diagnostics"])
|
|
if exp:
|
|
now = time.time()
|
|
if now - self._perf_last_update >= 0.5:
|
|
self._perf_last_update = now
|
|
metrics = self.perf_monitor.get_metrics()
|
|
self.perf_history["frame_time"].pop(0)
|
|
self.perf_history["frame_time"].append(metrics.get("last_frame_time_ms", 0.0))
|
|
self.perf_history["fps"].pop(0)
|
|
self.perf_history["fps"].append(metrics.get("fps", 0.0))
|
|
self.perf_history["cpu"].pop(0)
|
|
self.perf_history["cpu"].append(metrics.get("cpu_percent", 0.0))
|
|
self.perf_history["input_lag"].pop(0)
|
|
self.perf_history["input_lag"].append(metrics.get("input_lag_ms", 0.0))
|
|
|
|
metrics = self.perf_monitor.get_metrics()
|
|
imgui.text("Performance Telemetry")
|
|
imgui.separator()
|
|
|
|
if imgui.begin_table("perf_table", 2, imgui.TableFlags_.borders_inner_h):
|
|
imgui.table_setup_column("Metric")
|
|
imgui.table_setup_column("Value")
|
|
imgui.table_headers_row()
|
|
|
|
imgui.table_next_row()
|
|
imgui.table_next_column()
|
|
imgui.text("FPS")
|
|
imgui.table_next_column()
|
|
imgui.text(f"{metrics.get('fps', 0.0):.1f}")
|
|
|
|
imgui.table_next_row()
|
|
imgui.table_next_column()
|
|
imgui.text("Frame Time (ms)")
|
|
imgui.table_next_column()
|
|
imgui.text(f"{metrics.get('last_frame_time_ms', 0.0):.2f}")
|
|
|
|
imgui.table_next_row()
|
|
imgui.table_next_column()
|
|
imgui.text("CPU %")
|
|
imgui.table_next_column()
|
|
imgui.text(f"{metrics.get('cpu_percent', 0.0):.1f}")
|
|
|
|
imgui.table_next_row()
|
|
imgui.table_next_column()
|
|
imgui.text("Input Lag (ms)")
|
|
imgui.table_next_column()
|
|
imgui.text(f"{metrics.get('input_lag_ms', 0.0):.1f}")
|
|
|
|
imgui.end_table()
|
|
|
|
imgui.separator()
|
|
imgui.text("Frame Time (ms)")
|
|
imgui.plot_lines("##ft_plot", np.array(self.perf_history["frame_time"], dtype=np.float32), overlay_text="frame_time", graph_size=imgui.ImVec2(-1, 60))
|
|
imgui.text("CPU %")
|
|
imgui.plot_lines("##cpu_plot", np.array(self.perf_history["cpu"], dtype=np.float32), overlay_text="cpu", graph_size=imgui.ImVec2(-1, 60))
|
|
imgui.end()
|
|
|
|
self.perf_monitor.end_frame()
|
|
|
|
# ---- Modals / Popups
|
|
with self._pending_dialog_lock:
|
|
dlg = self._pending_dialog
|
|
|
|
if dlg:
|
|
if not self._pending_dialog_open:
|
|
imgui.open_popup("Approve PowerShell Command")
|
|
self._pending_dialog_open = True
|
|
else:
|
|
self._pending_dialog_open = False
|
|
|
|
if imgui.begin_popup_modal("Approve PowerShell Command", None, imgui.WindowFlags_.always_auto_resize)[0]:
|
|
if not dlg:
|
|
imgui.close_current_popup()
|
|
else:
|
|
imgui.text("The AI wants to run the following PowerShell script:")
|
|
imgui.text_colored(vec4(200, 200, 100), f"base_dir: {dlg._base_dir}")
|
|
imgui.separator()
|
|
|
|
# Checkbox to toggle full preview inside modal
|
|
_, self.show_text_viewer = imgui.checkbox("Show Full Preview", self.show_text_viewer)
|
|
if self.show_text_viewer:
|
|
imgui.begin_child("preview_child", imgui.ImVec2(600, 300), True)
|
|
imgui.text_unformatted(dlg._script)
|
|
imgui.end_child()
|
|
else:
|
|
ch, dlg._script = imgui.input_text_multiline("##confirm_script", dlg._script, imgui.ImVec2(-1, 200))
|
|
|
|
imgui.separator()
|
|
if imgui.button("Approve & Run", imgui.ImVec2(120, 0)):
|
|
with dlg._condition:
|
|
dlg._approved = True
|
|
dlg._done = True
|
|
dlg._condition.notify_all()
|
|
with self._pending_dialog_lock:
|
|
self._pending_dialog = None
|
|
imgui.close_current_popup()
|
|
imgui.same_line()
|
|
if imgui.button("Reject", imgui.ImVec2(120, 0)):
|
|
with dlg._condition:
|
|
dlg._approved = False
|
|
dlg._done = True
|
|
dlg._condition.notify_all()
|
|
with self._pending_dialog_lock:
|
|
self._pending_dialog = None
|
|
imgui.close_current_popup()
|
|
imgui.end_popup()
|
|
|
|
if self._pending_ask_dialog:
|
|
if not self._ask_dialog_open:
|
|
imgui.open_popup("Approve Tool Execution")
|
|
self._ask_dialog_open = True
|
|
else:
|
|
self._ask_dialog_open = False
|
|
|
|
if imgui.begin_popup_modal("Approve Tool Execution", None, imgui.WindowFlags_.always_auto_resize)[0]:
|
|
if not self._pending_ask_dialog:
|
|
imgui.close_current_popup()
|
|
else:
|
|
tool_name = self._ask_tool_data.get("tool", "unknown")
|
|
tool_args = self._ask_tool_data.get("args", {})
|
|
imgui.text("The AI wants to execute a tool:")
|
|
imgui.text_colored(vec4(200, 200, 100), f"Tool: {tool_name}")
|
|
imgui.separator()
|
|
imgui.text("Arguments:")
|
|
imgui.begin_child("ask_args_child", imgui.ImVec2(400, 200), True)
|
|
imgui.text_unformatted(json.dumps(tool_args, indent=2))
|
|
imgui.end_child()
|
|
imgui.separator()
|
|
if imgui.button("Approve", imgui.ImVec2(120, 0)):
|
|
self._handle_approve_ask()
|
|
imgui.close_current_popup()
|
|
imgui.same_line()
|
|
if imgui.button("Deny", imgui.ImVec2(120, 0)):
|
|
self._handle_reject_ask()
|
|
imgui.close_current_popup()
|
|
imgui.end_popup()
|
|
|
|
# MMA Step Approval Modal
|
|
if self._pending_mma_approval:
|
|
if not self._mma_approval_open:
|
|
imgui.open_popup("MMA Step Approval")
|
|
self._mma_approval_open = True
|
|
self._mma_approval_edit_mode = False
|
|
self._mma_approval_payload = self._pending_mma_approval.get("payload", "")
|
|
else:
|
|
self._mma_approval_open = False
|
|
|
|
if imgui.begin_popup_modal("MMA Step Approval", None, imgui.WindowFlags_.always_auto_resize)[0]:
|
|
if not self._pending_mma_approval:
|
|
imgui.close_current_popup()
|
|
else:
|
|
ticket_id = self._pending_mma_approval.get("ticket_id", "??")
|
|
imgui.text(f"Ticket {ticket_id} is waiting for tool execution approval.")
|
|
imgui.separator()
|
|
|
|
if self._mma_approval_edit_mode:
|
|
imgui.text("Edit Raw Payload (Manual Memory Mutation):")
|
|
_, self._mma_approval_payload = imgui.input_text_multiline("##mma_payload", self._mma_approval_payload, imgui.ImVec2(600, 400))
|
|
else:
|
|
imgui.text("Proposed Tool Call:")
|
|
imgui.begin_child("mma_preview", imgui.ImVec2(600, 300), True)
|
|
imgui.text_unformatted(str(self._pending_mma_approval.get("payload", "")))
|
|
imgui.end_child()
|
|
|
|
imgui.separator()
|
|
if imgui.button("Approve", imgui.ImVec2(120, 0)):
|
|
self._handle_mma_respond(approved=True, payload=self._mma_approval_payload)
|
|
imgui.close_current_popup()
|
|
|
|
imgui.same_line()
|
|
if imgui.button("Edit Payload" if not self._mma_approval_edit_mode else "Show Original", imgui.ImVec2(120, 0)):
|
|
self._mma_approval_edit_mode = not self._mma_approval_edit_mode
|
|
|
|
imgui.same_line()
|
|
if imgui.button("Abort Ticket", imgui.ImVec2(120, 0)):
|
|
self._handle_mma_respond(approved=False)
|
|
imgui.close_current_popup()
|
|
imgui.end_popup()
|
|
|
|
# MMA Spawn Approval Modal
|
|
if self._pending_mma_spawn:
|
|
if not self._mma_spawn_open:
|
|
imgui.open_popup("MMA Spawn Approval")
|
|
self._mma_spawn_open = True
|
|
self._mma_spawn_edit_mode = False
|
|
self._mma_spawn_prompt = self._pending_mma_spawn.get("prompt", "")
|
|
self._mma_spawn_context = self._pending_mma_spawn.get("context_md", "")
|
|
else:
|
|
self._mma_spawn_open = False
|
|
|
|
if imgui.begin_popup_modal("MMA Spawn Approval", None, imgui.WindowFlags_.always_auto_resize)[0]:
|
|
if not self._pending_mma_spawn:
|
|
imgui.close_current_popup()
|
|
else:
|
|
role = self._pending_mma_spawn.get("role", "??")
|
|
ticket_id = self._pending_mma_spawn.get("ticket_id", "??")
|
|
imgui.text(f"Spawning {role} for Ticket {ticket_id}")
|
|
imgui.separator()
|
|
|
|
if self._mma_spawn_edit_mode:
|
|
imgui.text("Edit Prompt:")
|
|
_, self._mma_spawn_prompt = imgui.input_text_multiline("##spawn_prompt", self._mma_spawn_prompt, imgui.ImVec2(800, 200))
|
|
imgui.text("Edit Context MD:")
|
|
_, self._mma_spawn_context = imgui.input_text_multiline("##spawn_context", self._mma_spawn_context, imgui.ImVec2(800, 300))
|
|
else:
|
|
imgui.text("Proposed Prompt:")
|
|
imgui.begin_child("spawn_prompt_preview", imgui.ImVec2(800, 150), True)
|
|
imgui.text_unformatted(self._mma_spawn_prompt)
|
|
imgui.end_child()
|
|
imgui.text("Proposed Context MD:")
|
|
imgui.begin_child("spawn_context_preview", imgui.ImVec2(800, 250), True)
|
|
imgui.text_unformatted(self._mma_spawn_context)
|
|
imgui.end_child()
|
|
|
|
imgui.separator()
|
|
if imgui.button("Approve", imgui.ImVec2(120, 0)):
|
|
self._handle_mma_respond(approved=True, prompt=self._mma_spawn_prompt, context_md=self._mma_spawn_context)
|
|
imgui.close_current_popup()
|
|
|
|
imgui.same_line()
|
|
if imgui.button("Edit Mode" if not self._mma_spawn_edit_mode else "Preview Mode", imgui.ImVec2(120, 0)):
|
|
self._mma_spawn_edit_mode = not self._mma_spawn_edit_mode
|
|
|
|
imgui.same_line()
|
|
if imgui.button("Abort", imgui.ImVec2(120, 0)):
|
|
self._handle_mma_respond(approved=False, abort=True)
|
|
imgui.close_current_popup()
|
|
imgui.end_popup()
|
|
|
|
if self.show_script_output:
|
|
if self._trigger_script_blink:
|
|
self._trigger_script_blink = False
|
|
self._is_script_blinking = True
|
|
self._script_blink_start_time = time.time()
|
|
try:
|
|
imgui.set_window_focus("Last Script Output")
|
|
except Exception:
|
|
pass
|
|
|
|
if self._is_script_blinking:
|
|
elapsed = time.time() - self._script_blink_start_time
|
|
if elapsed > 1.5:
|
|
self._is_script_blinking = False
|
|
else:
|
|
val = math.sin(elapsed * 8 * math.pi)
|
|
alpha = 60/255 if val > 0 else 0
|
|
imgui.push_style_color(imgui.Col_.frame_bg, vec4(0, 100, 255, alpha))
|
|
imgui.push_style_color(imgui.Col_.child_bg, vec4(0, 100, 255, alpha))
|
|
|
|
imgui.set_next_window_size(imgui.ImVec2(800, 600), imgui.Cond_.first_use_ever)
|
|
expanded, self.show_script_output = imgui.begin("Last Script Output", self.show_script_output)
|
|
if expanded:
|
|
imgui.text("Script:")
|
|
imgui.same_line()
|
|
self._render_text_viewer("Last Script", self.ui_last_script_text)
|
|
|
|
if self.ui_word_wrap:
|
|
imgui.begin_child("lso_s_wrap", imgui.ImVec2(-1, 200), True)
|
|
imgui.push_text_wrap_pos(imgui.get_content_region_avail().x)
|
|
imgui.text(self.ui_last_script_text)
|
|
imgui.pop_text_wrap_pos()
|
|
imgui.end_child()
|
|
else:
|
|
imgui.input_text_multiline("##lso_s", self.ui_last_script_text, imgui.ImVec2(-1, 200), imgui.InputTextFlags_.read_only)
|
|
|
|
imgui.separator()
|
|
imgui.text("Output:")
|
|
imgui.same_line()
|
|
self._render_text_viewer("Last Output", self.ui_last_script_output)
|
|
|
|
if self.ui_word_wrap:
|
|
imgui.begin_child("lso_o_wrap", imgui.ImVec2(-1, -1), True)
|
|
imgui.push_text_wrap_pos(imgui.get_content_region_avail().x)
|
|
imgui.text(self.ui_last_script_output)
|
|
imgui.pop_text_wrap_pos()
|
|
imgui.end_child()
|
|
else:
|
|
imgui.input_text_multiline("##lso_o", self.ui_last_script_output, imgui.ImVec2(-1, -1), imgui.InputTextFlags_.read_only)
|
|
|
|
if self._is_script_blinking:
|
|
imgui.pop_style_color(2)
|
|
imgui.end()
|
|
|
|
if self.show_text_viewer:
|
|
imgui.set_next_window_size(imgui.ImVec2(900, 700), imgui.Cond_.first_use_ever)
|
|
expanded, self.show_text_viewer = imgui.begin(f"Text Viewer - {self.text_viewer_title}", self.show_text_viewer)
|
|
if expanded:
|
|
if self.ui_word_wrap:
|
|
imgui.begin_child("tv_wrap", imgui.ImVec2(-1, -1), False)
|
|
imgui.push_text_wrap_pos(imgui.get_content_region_avail().x)
|
|
imgui.text(self.text_viewer_content)
|
|
imgui.pop_text_wrap_pos()
|
|
imgui.end_child()
|
|
else:
|
|
imgui.input_text_multiline("##tv_c", self.text_viewer_content, imgui.ImVec2(-1, -1), imgui.InputTextFlags_.read_only)
|
|
imgui.end()
|
|
|
|
except Exception as e:
|
|
print(f"ERROR in _gui_func: {e}")
|
|
import traceback
|
|
traceback.print_exc()
|
|
|
|
def _render_projects_panel(self):
|
|
proj_name = self.project.get("project", {}).get("name", Path(self.active_project_path).stem)
|
|
imgui.text_colored(C_IN, f"Active: {proj_name}")
|
|
imgui.separator()
|
|
imgui.text("Git Directory")
|
|
ch, self.ui_project_git_dir = imgui.input_text("##git_dir", self.ui_project_git_dir)
|
|
imgui.same_line()
|
|
if imgui.button("Browse##git"):
|
|
r = hide_tk_root()
|
|
d = filedialog.askdirectory(title="Select Git Directory")
|
|
r.destroy()
|
|
if d: self.ui_project_git_dir = d
|
|
|
|
imgui.separator()
|
|
imgui.text("Main Context File")
|
|
ch, self.ui_project_main_context = imgui.input_text("##main_ctx", self.ui_project_main_context)
|
|
imgui.same_line()
|
|
if imgui.button("Browse##ctx"):
|
|
r = hide_tk_root()
|
|
p = filedialog.askopenfilename(title="Select Main Context File")
|
|
r.destroy()
|
|
if p: self.ui_project_main_context = p
|
|
|
|
imgui.separator()
|
|
imgui.text("Output Dir")
|
|
ch, self.ui_output_dir = imgui.input_text("##out_dir", self.ui_output_dir)
|
|
imgui.same_line()
|
|
if imgui.button("Browse##out"):
|
|
r = hide_tk_root()
|
|
d = filedialog.askdirectory(title="Select Output Dir")
|
|
r.destroy()
|
|
if d: self.ui_output_dir = d
|
|
|
|
imgui.separator()
|
|
imgui.text("Project Files")
|
|
imgui.begin_child("proj_files", imgui.ImVec2(0, 150), True)
|
|
for i, pp in enumerate(self.project_paths):
|
|
is_active = (pp == self.active_project_path)
|
|
if imgui.button(f"x##p{i}"):
|
|
removed = self.project_paths.pop(i)
|
|
if removed == self.active_project_path and self.project_paths:
|
|
self._switch_project(self.project_paths[0])
|
|
break
|
|
imgui.same_line()
|
|
marker = " *" if is_active else ""
|
|
if is_active: imgui.push_style_color(imgui.Col_.text, C_IN)
|
|
if imgui.button(f"{Path(pp).stem}{marker}##ps{i}"):
|
|
self._switch_project(pp)
|
|
if is_active: imgui.pop_style_color()
|
|
imgui.same_line()
|
|
imgui.text_colored(C_LBL, pp)
|
|
imgui.end_child()
|
|
|
|
if imgui.button("Add Project"):
|
|
r = hide_tk_root()
|
|
p = filedialog.askopenfilename(
|
|
title="Select Project .toml",
|
|
filetypes=[("TOML", "*.toml"), ("All", "*.*")],
|
|
)
|
|
r.destroy()
|
|
if p and p not in self.project_paths:
|
|
self.project_paths.append(p)
|
|
imgui.same_line()
|
|
if imgui.button("New Project"):
|
|
r = hide_tk_root()
|
|
p = filedialog.asksaveasfilename(title="Create New Project .toml", defaultextension=".toml", filetypes=[("TOML", "*.toml"), ("All", "*.*")])
|
|
r.destroy()
|
|
if p:
|
|
name = Path(p).stem
|
|
proj = project_manager.default_project(name)
|
|
project_manager.save_project(proj, p)
|
|
if p not in self.project_paths:
|
|
self.project_paths.append(p)
|
|
self._switch_project(p)
|
|
imgui.same_line()
|
|
if imgui.button("Save All"):
|
|
self._flush_to_project()
|
|
self._save_active_project()
|
|
self._flush_to_config()
|
|
save_config(self.config)
|
|
self.ai_status = "config saved"
|
|
|
|
ch, self.ui_word_wrap = imgui.checkbox("Word-Wrap (Read-only panels)", self.ui_word_wrap)
|
|
ch, self.ui_summary_only = imgui.checkbox("Summary Only (send file structure, not full content)", self.ui_summary_only)
|
|
ch, self.ui_auto_scroll_comms = imgui.checkbox("Auto-scroll Comms History", self.ui_auto_scroll_comms)
|
|
ch, self.ui_auto_scroll_tool_calls = imgui.checkbox("Auto-scroll Tool History", self.ui_auto_scroll_tool_calls)
|
|
|
|
if imgui.collapsing_header("Agent Tools"):
|
|
for t_name in AGENT_TOOL_NAMES:
|
|
val = self.ui_agent_tools.get(t_name, True)
|
|
ch, val = imgui.checkbox(f"Enable {t_name}", val)
|
|
if ch:
|
|
self.ui_agent_tools[t_name] = val
|
|
|
|
imgui.separator()
|
|
imgui.text_colored(C_LBL, 'MMA Orchestration')
|
|
_, self.ui_epic_input = imgui.input_text_multiline('##epic_input', self.ui_epic_input, imgui.ImVec2(-1, 80))
|
|
if imgui.button('Plan Epic (Tier 1)', imgui.ImVec2(-1, 0)):
|
|
self._cb_plan_epic()
|
|
|
|
def _cb_plan_epic(self):
|
|
def _bg_task():
|
|
try:
|
|
self.ai_status = "Planning Epic (Tier 1)..."
|
|
history = orchestrator_pm.get_track_history_summary()
|
|
|
|
proj = project_manager.load_project(self.active_project_path)
|
|
flat = project_manager.flat_config(proj)
|
|
file_items = aggregate.build_file_items(Path("."), flat.get("files", {}).get("paths", []))
|
|
|
|
tracks = orchestrator_pm.generate_tracks(self.ui_epic_input, flat, file_items, history_summary=history)
|
|
|
|
with self._pending_gui_tasks_lock:
|
|
self._pending_gui_tasks.append({
|
|
"action": "handle_ai_response",
|
|
"payload": {
|
|
"text": json.dumps(tracks, indent=2),
|
|
"stream_id": "Tier 1",
|
|
"status": "Epic tracks generated."
|
|
}
|
|
})
|
|
self._pending_gui_tasks.append({
|
|
"action": "show_track_proposal",
|
|
"payload": tracks
|
|
})
|
|
except Exception as e:
|
|
self.ai_status = f"Epic plan error: {e}"
|
|
print(f"ERROR in _cb_plan_epic background task: {e}")
|
|
|
|
threading.Thread(target=_bg_task, daemon=True).start()
|
|
|
|
def _cb_accept_tracks(self):
|
|
def _bg_task():
|
|
for track_data in self.proposed_tracks:
|
|
self._start_track_logic(track_data)
|
|
self.ai_status = "Tracks accepted and execution started."
|
|
threading.Thread(target=_bg_task, daemon=True).start()
|
|
|
|
def _cb_start_track(self, user_data=None):
|
|
idx = 0
|
|
if isinstance(user_data, int):
|
|
idx = user_data
|
|
elif isinstance(user_data, dict):
|
|
idx = user_data.get("index", 0)
|
|
|
|
if 0 <= idx < len(self.proposed_tracks):
|
|
track_data = self.proposed_tracks[idx]
|
|
title = track_data.get("title") or track_data.get("goal", "Untitled Track")
|
|
threading.Thread(target=lambda: self._start_track_logic(track_data), daemon=True).start()
|
|
self.ai_status = f"Track '{title}' started."
|
|
|
|
def _start_track_logic(self, track_data):
|
|
try:
|
|
goal = track_data.get("goal", "")
|
|
title = track_data.get("title") or track_data.get("goal", "Untitled Track")
|
|
self.ai_status = f"Phase 2: Generating tickets for {title}..."
|
|
|
|
# 1. Get skeletons for context
|
|
parser = ASTParser(language="python")
|
|
skeletons = ""
|
|
for i, file_path in enumerate(self.files):
|
|
try:
|
|
self.ai_status = f"Phase 2: Scanning files ({i+1}/{len(self.files)})..."
|
|
abs_path = Path(self.ui_files_base_dir) / file_path
|
|
if abs_path.exists() and abs_path.suffix == ".py":
|
|
with open(abs_path, "r", encoding="utf-8") as f:
|
|
code = f.read()
|
|
skeletons += f"\nFile: {file_path}\n{parser.get_skeleton(code)}\n"
|
|
except Exception as e:
|
|
print(f"Error parsing skeleton for {file_path}: {e}")
|
|
|
|
self.ai_status = "Phase 2: Calling Tech Lead..."
|
|
raw_tickets = conductor_tech_lead.generate_tickets(goal, skeletons)
|
|
if not raw_tickets:
|
|
self.ai_status = f"Error: No tickets generated for track: {title}"
|
|
print(f"Warning: No tickets generated for track: {title}")
|
|
return
|
|
|
|
self.ai_status = "Phase 2: Sorting tickets..."
|
|
try:
|
|
sorted_tickets_data = conductor_tech_lead.topological_sort(raw_tickets)
|
|
except ValueError as e:
|
|
print(f"Dependency error in track '{title}': {e}")
|
|
sorted_tickets_data = raw_tickets
|
|
|
|
# 3. Create Track and Ticket objects
|
|
tickets = []
|
|
for t_data in sorted_tickets_data:
|
|
ticket = Ticket(
|
|
id=t_data["id"],
|
|
description=t_data.get("description") or t_data.get("goal", "No description"),
|
|
status=t_data.get("status", "todo"),
|
|
assigned_to=t_data.get("assigned_to", "unassigned"),
|
|
depends_on=t_data.get("depends_on", []),
|
|
step_mode=t_data.get("step_mode", False)
|
|
)
|
|
tickets.append(ticket)
|
|
|
|
track_id = f"track_{uuid.uuid4().hex[:8]}"
|
|
track = Track(id=track_id, description=title, tickets=tickets)
|
|
|
|
# Initialize track state in the filesystem
|
|
from models import TrackState, Metadata
|
|
from datetime import datetime
|
|
now = datetime.now()
|
|
meta = Metadata(id=track_id, name=title, status="todo", created_at=now, updated_at=now)
|
|
state = TrackState(metadata=meta, discussion=[], tasks=tickets)
|
|
project_manager.save_track_state(track_id, state, self.ui_files_base_dir)
|
|
|
|
# 4. Initialize ConductorEngine and run loop
|
|
engine = multi_agent_conductor.ConductorEngine(track, self.event_queue)
|
|
|
|
# Use current full markdown context for the track execution
|
|
track_id_param = track.id
|
|
flat = project_manager.flat_config(self.project, self.active_discussion, track_id=track_id_param)
|
|
full_md, _, _ = aggregate.run(flat)
|
|
|
|
# Schedule the coroutine on the internal event loop
|
|
asyncio.run_coroutine_threadsafe(engine.run(md_content=full_md), self._loop)
|
|
except Exception as e:
|
|
self.ai_status = f"Track start error: {e}"
|
|
print(f"ERROR in _start_track_logic: {e}")
|
|
|
|
def _render_track_proposal_modal(self):
|
|
if self._show_track_proposal_modal:
|
|
imgui.open_popup("Track Proposal")
|
|
|
|
if imgui.begin_popup_modal("Track Proposal", True, imgui.WindowFlags_.always_auto_resize)[0]:
|
|
imgui.text_colored(C_IN, "Proposed Implementation Tracks")
|
|
imgui.separator()
|
|
|
|
if not self.proposed_tracks:
|
|
imgui.text("No tracks generated.")
|
|
else:
|
|
for idx, track in enumerate(self.proposed_tracks):
|
|
imgui.text_colored(C_LBL, f"Track {idx+1}: {track.get('title', 'Untitled')}")
|
|
imgui.text_wrapped(f"Goal: {track.get('goal', 'N/A')}")
|
|
if imgui.button(f"Start This Track##{idx}"):
|
|
self._cb_start_track(idx)
|
|
imgui.separator()
|
|
|
|
if imgui.button("Accept", imgui.ImVec2(120, 0)):
|
|
self._cb_accept_tracks()
|
|
self._show_track_proposal_modal = False
|
|
imgui.close_current_popup()
|
|
imgui.same_line()
|
|
if imgui.button("Cancel", imgui.ImVec2(120, 0)):
|
|
self._show_track_proposal_modal = False
|
|
imgui.close_current_popup()
|
|
imgui.end_popup()
|
|
|
|
def _render_log_management(self):
|
|
exp, self.show_windows["Log Management"] = imgui.begin("Log Management", self.show_windows["Log Management"])
|
|
if not exp:
|
|
imgui.end()
|
|
return
|
|
|
|
registry = LogRegistry("logs/log_registry.toml")
|
|
sessions = registry.data
|
|
|
|
if imgui.begin_table("sessions_table", 7, imgui.TableFlags_.borders | imgui.TableFlags_.row_bg | imgui.TableFlags_.resizable):
|
|
imgui.table_setup_column("Session ID")
|
|
imgui.table_setup_column("Start Time")
|
|
imgui.table_setup_column("Star")
|
|
imgui.table_setup_column("Reason")
|
|
imgui.table_setup_column("Size (KB)")
|
|
imgui.table_setup_column("Msgs")
|
|
imgui.table_setup_column("Actions")
|
|
imgui.table_headers_row()
|
|
|
|
for session_id, s_data in sessions.items():
|
|
imgui.table_next_row()
|
|
imgui.table_next_column()
|
|
imgui.text(session_id)
|
|
|
|
imgui.table_next_column()
|
|
imgui.text(s_data.get("start_time", ""))
|
|
|
|
imgui.table_next_column()
|
|
whitelisted = s_data.get("whitelisted", False)
|
|
if whitelisted:
|
|
imgui.text_colored(vec4(255, 215, 0), "YES")
|
|
else:
|
|
imgui.text("NO")
|
|
|
|
metadata = s_data.get("metadata") or {}
|
|
|
|
imgui.table_next_column()
|
|
imgui.text(metadata.get("reason", ""))
|
|
|
|
imgui.table_next_column()
|
|
imgui.text(str(metadata.get("size_kb", "")))
|
|
|
|
imgui.table_next_column()
|
|
imgui.text(str(metadata.get("message_count", "")))
|
|
|
|
imgui.table_next_column()
|
|
if whitelisted:
|
|
if imgui.button(f"Unstar##{session_id}"):
|
|
registry.update_session_metadata(
|
|
session_id,
|
|
message_count=metadata.get("message_count"),
|
|
errors=metadata.get("errors"),
|
|
size_kb=metadata.get("size_kb"),
|
|
whitelisted=False,
|
|
reason=metadata.get("reason")
|
|
)
|
|
else:
|
|
if imgui.button(f"Star##{session_id}"):
|
|
registry.update_session_metadata(
|
|
session_id,
|
|
message_count=metadata.get("message_count"),
|
|
errors=metadata.get("errors"),
|
|
size_kb=metadata.get("size_kb"),
|
|
whitelisted=True,
|
|
reason="Manually whitelisted"
|
|
)
|
|
imgui.end_table()
|
|
imgui.end()
|
|
|
|
def _render_files_panel(self):
|
|
imgui.text("Base Dir")
|
|
ch, self.ui_files_base_dir = imgui.input_text("##f_base", self.ui_files_base_dir)
|
|
imgui.same_line()
|
|
if imgui.button("Browse##fb"):
|
|
r = hide_tk_root()
|
|
d = filedialog.askdirectory()
|
|
r.destroy()
|
|
if d: self.ui_files_base_dir = d
|
|
|
|
imgui.separator()
|
|
imgui.text("Paths")
|
|
imgui.begin_child("f_paths", imgui.ImVec2(0, -40), True)
|
|
for i, f in enumerate(self.files):
|
|
if imgui.button(f"x##f{i}"):
|
|
self.files.pop(i)
|
|
break
|
|
imgui.same_line()
|
|
imgui.text(f)
|
|
imgui.end_child()
|
|
|
|
if imgui.button("Add File(s)"):
|
|
r = hide_tk_root()
|
|
paths = filedialog.askopenfilenames()
|
|
r.destroy()
|
|
for p in paths:
|
|
if p not in self.files: self.files.append(p)
|
|
imgui.same_line()
|
|
if imgui.button("Add Wildcard"):
|
|
r = hide_tk_root()
|
|
d = filedialog.askdirectory()
|
|
r.destroy()
|
|
if d: self.files.append(str(Path(d) / "**" / "*"))
|
|
|
|
def _render_screenshots_panel(self):
|
|
imgui.text("Base Dir")
|
|
ch, self.ui_shots_base_dir = imgui.input_text("##s_base", self.ui_shots_base_dir)
|
|
imgui.same_line()
|
|
if imgui.button("Browse##sb"):
|
|
r = hide_tk_root()
|
|
d = filedialog.askdirectory()
|
|
r.destroy()
|
|
if d: self.ui_shots_base_dir = d
|
|
|
|
imgui.separator()
|
|
imgui.text("Paths")
|
|
imgui.begin_child("s_paths", imgui.ImVec2(0, -40), True)
|
|
for i, s in enumerate(self.screenshots):
|
|
if imgui.button(f"x##s{i}"):
|
|
self.screenshots.pop(i)
|
|
break
|
|
imgui.same_line()
|
|
imgui.text(s)
|
|
imgui.end_child()
|
|
|
|
if imgui.button("Add Screenshot(s)"):
|
|
r = hide_tk_root()
|
|
paths = filedialog.askopenfilenames(
|
|
title="Select Screenshots",
|
|
filetypes=[("Images", "*.png *.jpg *.jpeg *.gif *.bmp *.webp"), ("All", "*.*")],
|
|
)
|
|
r.destroy()
|
|
for p in paths:
|
|
if p not in self.screenshots: self.screenshots.append(p)
|
|
|
|
def _render_discussion_panel(self):
|
|
# THINKING indicator
|
|
is_thinking = self.ai_status in ["sending..."]
|
|
if is_thinking:
|
|
val = math.sin(time.time() * 10 * math.pi)
|
|
alpha = 1.0 if val > 0 else 0.0
|
|
imgui.text_colored(imgui.ImVec4(1.0, 0.39, 0.39, alpha), "THINKING...")
|
|
imgui.separator()
|
|
|
|
# Prior session viewing mode
|
|
if self.is_viewing_prior_session:
|
|
imgui.push_style_color(imgui.Col_.child_bg, vec4(50, 40, 20))
|
|
imgui.text_colored(vec4(255, 200, 100), "VIEWING PRIOR SESSION")
|
|
imgui.same_line()
|
|
if imgui.button("Exit Prior Session"):
|
|
self.is_viewing_prior_session = False
|
|
self.prior_session_entries.clear()
|
|
imgui.separator()
|
|
imgui.begin_child("prior_scroll", imgui.ImVec2(0, 0), False)
|
|
for idx, entry in enumerate(self.prior_session_entries):
|
|
imgui.push_id(f"prior_{idx}")
|
|
kind = entry.get("kind", entry.get("type", ""))
|
|
imgui.text_colored(C_LBL, f"#{idx+1}")
|
|
imgui.same_line()
|
|
ts = entry.get("ts", entry.get("timestamp", ""))
|
|
if ts:
|
|
imgui.text_colored(vec4(160, 160, 160), str(ts))
|
|
imgui.same_line()
|
|
imgui.text_colored(C_KEY, str(kind))
|
|
payload = entry.get("payload", entry)
|
|
text = payload.get("text", payload.get("message", payload.get("content", "")))
|
|
if text:
|
|
preview = str(text).replace("\\n", " ")[:200]
|
|
if self.ui_word_wrap:
|
|
imgui.push_text_wrap_pos(imgui.get_content_region_avail().x)
|
|
imgui.text(preview)
|
|
imgui.pop_text_wrap_pos()
|
|
else:
|
|
imgui.text(preview)
|
|
imgui.separator()
|
|
imgui.pop_id()
|
|
imgui.end_child()
|
|
imgui.pop_style_color()
|
|
return
|
|
|
|
if not self.is_viewing_prior_session and imgui.collapsing_header("Discussions", imgui.TreeNodeFlags_.default_open):
|
|
names = self._get_discussion_names()
|
|
|
|
if imgui.begin_combo("##disc_sel", self.active_discussion):
|
|
for name in names:
|
|
is_selected = (name == self.active_discussion)
|
|
if imgui.selectable(name, is_selected)[0]:
|
|
self._switch_discussion(name)
|
|
if is_selected:
|
|
imgui.set_item_default_focus()
|
|
imgui.end_combo()
|
|
|
|
disc_sec = self.project.get("discussion", {})
|
|
disc_data = disc_sec.get("discussions", {}).get(self.active_discussion, {})
|
|
git_commit = disc_data.get("git_commit", "")
|
|
last_updated = disc_data.get("last_updated", "")
|
|
|
|
imgui.text_colored(C_LBL, "commit:")
|
|
imgui.same_line()
|
|
imgui.text_colored(C_IN if git_commit else C_LBL, git_commit[:12] if git_commit else "(none)")
|
|
imgui.same_line()
|
|
if imgui.button("Update Commit"):
|
|
git_dir = self.ui_project_git_dir
|
|
if git_dir:
|
|
cmt = project_manager.get_git_commit(git_dir)
|
|
if cmt:
|
|
disc_data["git_commit"] = cmt
|
|
disc_data["last_updated"] = project_manager.now_ts()
|
|
self.ai_status = f"commit: {cmt[:12]}"
|
|
|
|
imgui.text_colored(C_LBL, "updated:")
|
|
imgui.same_line()
|
|
imgui.text_colored(C_SUB, last_updated if last_updated else "(never)")
|
|
|
|
ch, self.ui_disc_new_name_input = imgui.input_text("##new_disc", self.ui_disc_new_name_input)
|
|
imgui.same_line()
|
|
if imgui.button("Create"):
|
|
nm = self.ui_disc_new_name_input.strip()
|
|
if nm: self._create_discussion(nm); self.ui_disc_new_name_input = ""
|
|
imgui.same_line()
|
|
if imgui.button("Rename"):
|
|
nm = self.ui_disc_new_name_input.strip()
|
|
if nm: self._rename_discussion(self.active_discussion, nm); self.ui_disc_new_name_input = ""
|
|
imgui.same_line()
|
|
if imgui.button("Delete"):
|
|
self._delete_discussion(self.active_discussion)
|
|
|
|
if not self.is_viewing_prior_session:
|
|
imgui.separator()
|
|
if imgui.button("+ Entry"):
|
|
self.disc_entries.append({"role": self.disc_roles[0] if self.disc_roles else "User", "content": "", "collapsed": False, "ts": project_manager.now_ts()})
|
|
imgui.same_line()
|
|
if imgui.button("-All"):
|
|
for e in self.disc_entries: e["collapsed"] = True
|
|
imgui.same_line()
|
|
if imgui.button("+All"):
|
|
for e in self.disc_entries: e["collapsed"] = False
|
|
imgui.same_line()
|
|
if imgui.button("Clear All"):
|
|
self.disc_entries.clear()
|
|
imgui.same_line()
|
|
if imgui.button("Save"):
|
|
self._flush_to_project()
|
|
self._save_active_project()
|
|
self._flush_to_config()
|
|
save_config(self.config)
|
|
self.ai_status = "discussion saved"
|
|
|
|
ch, self.ui_auto_add_history = imgui.checkbox("Auto-add message & response to history", self.ui_auto_add_history)
|
|
|
|
# Truncation controls
|
|
imgui.text("Keep Pairs:")
|
|
imgui.same_line()
|
|
imgui.set_next_item_width(80)
|
|
ch, self.ui_disc_truncate_pairs = imgui.input_int("##trunc_pairs", self.ui_disc_truncate_pairs, 1)
|
|
if self.ui_disc_truncate_pairs < 1: self.ui_disc_truncate_pairs = 1
|
|
imgui.same_line()
|
|
if imgui.button("Truncate"):
|
|
self.disc_entries = truncate_entries(self.disc_entries, self.ui_disc_truncate_pairs)
|
|
self.ai_status = f"history truncated to {self.ui_disc_truncate_pairs} pairs"
|
|
imgui.separator()
|
|
|
|
if imgui.collapsing_header("Roles"):
|
|
imgui.begin_child("roles_scroll", imgui.ImVec2(0, 100), True)
|
|
for i, r in enumerate(self.disc_roles):
|
|
if imgui.button(f"x##r{i}"):
|
|
self.disc_roles.pop(i)
|
|
break
|
|
imgui.same_line()
|
|
imgui.text(r)
|
|
imgui.end_child()
|
|
ch, self.ui_disc_new_role_input = imgui.input_text("##new_role", self.ui_disc_new_role_input)
|
|
imgui.same_line()
|
|
if imgui.button("Add"):
|
|
r = self.ui_disc_new_role_input.strip()
|
|
if r and r not in self.disc_roles:
|
|
self.disc_roles.append(r)
|
|
self.ui_disc_new_role_input = ""
|
|
|
|
imgui.separator()
|
|
imgui.begin_child("disc_scroll", imgui.ImVec2(0, 0), False)
|
|
clipper = imgui.ListClipper()
|
|
clipper.begin(len(self.disc_entries))
|
|
while clipper.step():
|
|
for i in range(clipper.display_start, clipper.display_end):
|
|
entry = self.disc_entries[i]
|
|
imgui.push_id(str(i))
|
|
collapsed = entry.get("collapsed", False)
|
|
read_mode = entry.get("read_mode", False)
|
|
|
|
if imgui.button("+" if collapsed else "-"):
|
|
entry["collapsed"] = not collapsed
|
|
imgui.same_line()
|
|
|
|
imgui.set_next_item_width(120)
|
|
if imgui.begin_combo("##role", entry["role"]):
|
|
for r in self.disc_roles:
|
|
if imgui.selectable(r, r == entry["role"])[0]:
|
|
entry["role"] = r
|
|
imgui.end_combo()
|
|
|
|
if not collapsed:
|
|
imgui.same_line()
|
|
if imgui.button("[Edit]" if read_mode else "[Read]"):
|
|
entry["read_mode"] = not read_mode
|
|
|
|
ts_str = entry.get("ts", "")
|
|
if ts_str:
|
|
imgui.same_line()
|
|
imgui.text_colored(vec4(120, 120, 100), str(ts_str))
|
|
|
|
if collapsed:
|
|
imgui.same_line()
|
|
if imgui.button("Ins"):
|
|
self.disc_entries.insert(i, {"role": "User", "content": "", "collapsed": False, "ts": project_manager.now_ts()})
|
|
imgui.same_line()
|
|
self._render_text_viewer(f"Entry #{i+1}", entry["content"])
|
|
imgui.same_line()
|
|
if imgui.button("Del"):
|
|
self.disc_entries.pop(i)
|
|
imgui.pop_id()
|
|
break # Break from inner loop, clipper will re-step
|
|
imgui.same_line()
|
|
preview = entry["content"].replace("\\n", " ")[:60]
|
|
if len(entry["content"]) > 60: preview += "..."
|
|
imgui.text_colored(vec4(160, 160, 150), preview)
|
|
|
|
if not collapsed:
|
|
if read_mode:
|
|
imgui.begin_child("read_content", imgui.ImVec2(0, 150), True)
|
|
if self.ui_word_wrap: imgui.push_text_wrap_pos(imgui.get_content_region_avail().x)
|
|
imgui.text(entry["content"])
|
|
if self.ui_word_wrap: imgui.pop_text_wrap_pos()
|
|
imgui.end_child()
|
|
else:
|
|
ch, entry["content"] = imgui.input_text_multiline("##content", entry["content"], imgui.ImVec2(-1, 150))
|
|
|
|
imgui.separator()
|
|
imgui.pop_id()
|
|
if self._scroll_disc_to_bottom:
|
|
imgui.set_scroll_here_y(1.0)
|
|
self._scroll_disc_to_bottom = False
|
|
imgui.end_child()
|
|
|
|
def _render_provider_panel(self):
|
|
imgui.text("Provider")
|
|
if imgui.begin_combo("##prov", self.current_provider):
|
|
for p in PROVIDERS:
|
|
if imgui.selectable(p, p == self.current_provider)[0]:
|
|
self.current_provider = p
|
|
imgui.end_combo()
|
|
imgui.separator()
|
|
imgui.text("Model")
|
|
imgui.same_line()
|
|
if imgui.button("Fetch Models"):
|
|
self._fetch_models(self.current_provider)
|
|
|
|
if imgui.begin_list_box("##models", imgui.ImVec2(-1, 120)):
|
|
for m in self.available_models:
|
|
if imgui.selectable(m, m == self.current_model)[0]:
|
|
self.current_model = m
|
|
imgui.end_list_box()
|
|
imgui.separator()
|
|
imgui.text("Parameters")
|
|
ch, self.temperature = imgui.slider_float("Temperature", self.temperature, 0.0, 2.0, "%.2f")
|
|
ch, self.max_tokens = imgui.input_int("Max Tokens (Output)", self.max_tokens, 1024)
|
|
ch, self.history_trunc_limit = imgui.input_int("History Truncation Limit", self.history_trunc_limit, 1024)
|
|
|
|
if self.current_provider == "gemini_cli":
|
|
imgui.separator()
|
|
imgui.text("Gemini CLI")
|
|
sid = "None"
|
|
if hasattr(ai_client, "_gemini_cli_adapter") and ai_client._gemini_cli_adapter:
|
|
sid = ai_client._gemini_cli_adapter.session_id or "None"
|
|
imgui.text(f"Session ID: {sid}")
|
|
if imgui.button("Reset CLI Session"):
|
|
ai_client.reset_session()
|
|
|
|
imgui.text("Binary Path")
|
|
ch, self.ui_gemini_cli_path = imgui.input_text("##gcli_path", self.ui_gemini_cli_path)
|
|
imgui.same_line()
|
|
if imgui.button("Browse##gcli"):
|
|
r = hide_tk_root()
|
|
p = filedialog.askopenfilename(title="Select gemini CLI binary")
|
|
r.destroy()
|
|
if p:
|
|
self.ui_gemini_cli_path = p
|
|
if ch:
|
|
if hasattr(ai_client, "_gemini_cli_adapter") and ai_client._gemini_cli_adapter:
|
|
ai_client._gemini_cli_adapter.binary_path = self.ui_gemini_cli_path
|
|
|
|
imgui.separator()
|
|
imgui.text("Telemetry")
|
|
usage = self.session_usage
|
|
total = usage["input_tokens"] + usage["output_tokens"]
|
|
if total == 0 and usage.get("total_tokens", 0) > 0:
|
|
total = usage["total_tokens"]
|
|
imgui.text_colored(C_RES, f"Tokens: {total:,} (In: {usage['input_tokens']:,} Out: {usage['output_tokens']:,})")
|
|
if usage.get("last_latency", 0.0) > 0:
|
|
imgui.text_colored(C_LBL, f" Last Latency: {usage['last_latency']:.2f}s")
|
|
if usage["cache_read_input_tokens"]:
|
|
imgui.text_colored(C_LBL, f" Cache Read: {usage['cache_read_input_tokens']:,} Creation: {usage['cache_creation_input_tokens']:,}")
|
|
imgui.text("Token Budget:")
|
|
imgui.progress_bar(self._token_budget_pct, imgui.ImVec2(-1, 0), f"{self._token_budget_current:,} / {self._token_budget_limit:,}")
|
|
if self._gemini_cache_text:
|
|
imgui.text_colored(C_SUB, self._gemini_cache_text)
|
|
|
|
def _render_message_panel(self):
|
|
# LIVE indicator
|
|
is_live = self.ai_status in ["running powershell...", "fetching url...", "searching web...", "powershell done, awaiting AI..."]
|
|
if is_live:
|
|
val = math.sin(time.time() * 10 * math.pi)
|
|
alpha = 1.0 if val > 0 else 0.0
|
|
imgui.text_colored(imgui.ImVec4(0.39, 1.0, 0.39, alpha), "LIVE")
|
|
imgui.separator()
|
|
|
|
ch, self.ui_ai_input = imgui.input_text_multiline("##ai_in", self.ui_ai_input, imgui.ImVec2(-1, -40))
|
|
|
|
# Keyboard shortcuts
|
|
io = imgui.get_io()
|
|
ctrl_enter = io.key_ctrl and imgui.is_key_pressed(imgui.Key.enter)
|
|
ctrl_l = io.key_ctrl and imgui.is_key_pressed(imgui.Key.l)
|
|
if ctrl_l:
|
|
self.ui_ai_input = ""
|
|
|
|
imgui.separator()
|
|
send_busy = False
|
|
with self._send_thread_lock:
|
|
if self.send_thread and self.send_thread.is_alive():
|
|
send_busy = True
|
|
|
|
if (imgui.button("Gen + Send") or ctrl_enter) and not send_busy:
|
|
self._handle_generate_send()
|
|
|
|
imgui.same_line()
|
|
if imgui.button("MD Only"):
|
|
self._handle_md_only()
|
|
imgui.same_line()
|
|
if imgui.button("Reset"):
|
|
self._handle_reset_session()
|
|
imgui.same_line()
|
|
if imgui.button("-> History"):
|
|
if self.ui_ai_input:
|
|
self.disc_entries.append({"role": "User", "content": self.ui_ai_input, "collapsed": False, "ts": project_manager.now_ts()})
|
|
|
|
def _render_response_panel(self):
|
|
if self._trigger_blink:
|
|
self._trigger_blink = False
|
|
self._is_blinking = True
|
|
self._blink_start_time = time.time()
|
|
try:
|
|
imgui.set_window_focus("Response")
|
|
except:
|
|
pass
|
|
|
|
is_blinking = False
|
|
if self._is_blinking:
|
|
elapsed = time.time() - self._blink_start_time
|
|
if elapsed > 1.5:
|
|
self._is_blinking = False
|
|
else:
|
|
is_blinking = True
|
|
val = math.sin(elapsed * 8 * math.pi)
|
|
alpha = 50/255 if val > 0 else 0
|
|
imgui.push_style_color(imgui.Col_.frame_bg, vec4(0, 255, 0, alpha))
|
|
imgui.push_style_color(imgui.Col_.child_bg, vec4(0, 255, 0, alpha))
|
|
|
|
# --- Always Render Content ---
|
|
if self.ui_word_wrap:
|
|
imgui.begin_child("resp_wrap", imgui.ImVec2(-1, -40), True)
|
|
imgui.push_text_wrap_pos(imgui.get_content_region_avail().x)
|
|
imgui.text(self.ai_response)
|
|
imgui.pop_text_wrap_pos()
|
|
imgui.end_child()
|
|
else:
|
|
imgui.input_text_multiline("##ai_out", self.ai_response, imgui.ImVec2(-1, -40), imgui.InputTextFlags_.read_only)
|
|
|
|
imgui.separator()
|
|
if imgui.button("-> History"):
|
|
if self.ai_response:
|
|
self.disc_entries.append({"role": "AI", "content": self.ai_response, "collapsed": False, "ts": project_manager.now_ts()})
|
|
|
|
if is_blinking:
|
|
imgui.pop_style_color(2)
|
|
|
|
def _cb_ticket_retry(self, ticket_id):
|
|
for t in self.active_tickets:
|
|
if t.get('id') == ticket_id:
|
|
t['status'] = 'todo'
|
|
break
|
|
asyncio.run_coroutine_threadsafe(
|
|
self.event_queue.put("mma_retry", {"ticket_id": ticket_id}),
|
|
self._loop
|
|
)
|
|
|
|
def _cb_ticket_skip(self, ticket_id):
|
|
for t in self.active_tickets:
|
|
if t.get('id') == ticket_id:
|
|
t['status'] = 'skipped'
|
|
break
|
|
asyncio.run_coroutine_threadsafe(
|
|
self.event_queue.put("mma_skip", {"ticket_id": ticket_id}),
|
|
self._loop
|
|
)
|
|
|
|
def _render_mma_dashboard(self):
|
|
# 1. Track Browser
|
|
imgui.text("Track Browser")
|
|
if imgui.begin_table("mma_tracks_table", 4, imgui.TableFlags_.borders | imgui.TableFlags_.row_bg | imgui.TableFlags_.resizable):
|
|
imgui.table_setup_column("Title")
|
|
imgui.table_setup_column("Status")
|
|
imgui.table_setup_column("Progress")
|
|
imgui.table_setup_column("Actions")
|
|
imgui.table_headers_row()
|
|
|
|
for track in self.tracks:
|
|
imgui.table_next_row()
|
|
imgui.table_next_column()
|
|
imgui.text(track.get("title", "Untitled"))
|
|
|
|
imgui.table_next_column()
|
|
imgui.text(track.get("status", "unknown"))
|
|
|
|
imgui.table_next_column()
|
|
progress = track.get("progress", 0.0)
|
|
imgui.progress_bar(progress, imgui.ImVec2(-1, 0), f"{int(progress*100)}%")
|
|
|
|
imgui.table_next_column()
|
|
if imgui.button(f"Load##{track.get('id')}"):
|
|
self._cb_load_track(track.get("id"))
|
|
|
|
imgui.end_table()
|
|
|
|
imgui.separator()
|
|
|
|
# 2. Global Controls
|
|
changed, self.mma_step_mode = imgui.checkbox("Step Mode (HITL)", self.mma_step_mode)
|
|
if changed:
|
|
# We could push an event here if the engine needs to know immediately
|
|
pass
|
|
|
|
imgui.same_line()
|
|
imgui.text(f"Status: {self.mma_status.upper()}")
|
|
if self.active_tier:
|
|
imgui.same_line()
|
|
imgui.text_colored(C_VAL, f"| Active: {self.active_tier}")
|
|
|
|
imgui.separator()
|
|
|
|
# 2. Active Track Info
|
|
if self.active_track:
|
|
imgui.text(f"Track: {self.active_track.description}")
|
|
|
|
# Progress bar
|
|
tickets = self.active_tickets
|
|
total = len(tickets)
|
|
if total > 0:
|
|
complete = sum(1 for t in tickets if t.get('status') == 'complete')
|
|
progress = complete / total
|
|
imgui.progress_bar(progress, imgui.ImVec2(-1, 0), f"{complete}/{total} Tickets")
|
|
else:
|
|
imgui.text_disabled("No active MMA track.")
|
|
|
|
# 3. Token Usage Table
|
|
imgui.separator()
|
|
imgui.text("Tier Usage (Tokens)")
|
|
if imgui.begin_table("mma_usage", 3, imgui.TableFlags_.borders | imgui.TableFlags_.row_bg):
|
|
imgui.table_setup_column("Tier")
|
|
imgui.table_setup_column("Input")
|
|
imgui.table_setup_column("Output")
|
|
imgui.table_headers_row()
|
|
|
|
usage = self.mma_tier_usage
|
|
for tier, stats in usage.items():
|
|
imgui.table_next_row()
|
|
imgui.table_next_column()
|
|
imgui.text(tier)
|
|
imgui.table_next_column()
|
|
imgui.text(f"{stats.get('input', 0):,}")
|
|
imgui.table_next_column()
|
|
imgui.text(f"{stats.get('output', 0):,}")
|
|
imgui.end_table()
|
|
|
|
imgui.separator()
|
|
|
|
imgui.separator()
|
|
imgui.text("Strategy (Tier 1)")
|
|
strategy_text = self.mma_streams.get("Tier 1", "")
|
|
imgui.input_text_multiline("##mma_strategy", strategy_text, imgui.ImVec2(-1, 150), imgui.InputTextFlags_.read_only)
|
|
|
|
# 4. Task DAG Visualizer
|
|
imgui.text("Task DAG")
|
|
if self.active_track:
|
|
tickets_by_id = {t.get('id'): t for t in self.active_tickets}
|
|
all_ids = set(tickets_by_id.keys())
|
|
|
|
# Build children map
|
|
children_map = {}
|
|
for t in self.active_tickets:
|
|
for dep in t.get('depends_on', []):
|
|
if dep not in children_map: children_map[dep] = []
|
|
children_map[dep].append(t.get('id'))
|
|
|
|
# Roots are those whose depends_on elements are NOT in all_ids
|
|
roots = []
|
|
for t in self.active_tickets:
|
|
deps = t.get('depends_on', [])
|
|
has_local_dep = any(d in all_ids for d in deps)
|
|
if not has_local_dep:
|
|
roots.append(t)
|
|
|
|
rendered = set()
|
|
for root in roots:
|
|
self._render_ticket_dag_node(root, tickets_by_id, children_map, rendered)
|
|
else:
|
|
imgui.text_disabled("No active MMA track.")
|
|
|
|
def _render_ticket_dag_node(self, ticket, tickets_by_id, children_map, rendered):
|
|
tid = ticket.get('id', '??')
|
|
target = ticket.get('target_file', 'general')
|
|
status = ticket.get('status', 'pending').upper()
|
|
|
|
# Determine color
|
|
status_color = vec4(200, 200, 200) # Gray (TODO)
|
|
if status == 'RUNNING':
|
|
status_color = vec4(255, 255, 0) # Yellow
|
|
elif status == 'COMPLETE':
|
|
status_color = vec4(0, 255, 0) # Green
|
|
elif status in ['BLOCKED', 'ERROR']:
|
|
status_color = vec4(255, 0, 0) # Red
|
|
elif status == 'PAUSED':
|
|
status_color = vec4(255, 165, 0) # Orange
|
|
|
|
flags = imgui.TreeNodeFlags_.open_on_arrow | imgui.TreeNodeFlags_.open_on_double_click | imgui.TreeNodeFlags_.default_open
|
|
children = children_map.get(tid, [])
|
|
if not children:
|
|
flags |= imgui.TreeNodeFlags_.leaf
|
|
|
|
# Check if already rendered elsewhere to avoid infinite recursion or duplicate subtrees
|
|
is_duplicate = tid in rendered
|
|
|
|
node_open = imgui.tree_node_ex(f"##{tid}", flags)
|
|
|
|
# Detail View / Tooltip
|
|
if imgui.is_item_hovered():
|
|
imgui.begin_tooltip()
|
|
imgui.text_colored(C_KEY, f"ID: {tid}")
|
|
imgui.text_colored(C_LBL, f"Target: {target}")
|
|
imgui.text_colored(C_LBL, f"Description:")
|
|
imgui.same_line()
|
|
imgui.text_wrapped(ticket.get('description', 'N/A'))
|
|
deps = ticket.get('depends_on', [])
|
|
if deps:
|
|
imgui.text_colored(C_LBL, f"Depends on: {', '.join(deps)}")
|
|
|
|
stream_key = f"Tier 3: {tid}"
|
|
if stream_key in self.mma_streams:
|
|
imgui.separator()
|
|
imgui.text_colored(C_KEY, "Worker Stream:")
|
|
imgui.text_wrapped(self.mma_streams[stream_key])
|
|
imgui.end_tooltip()
|
|
|
|
imgui.same_line()
|
|
imgui.text_colored(C_KEY, tid)
|
|
imgui.same_line(150)
|
|
imgui.text_disabled(str(target))
|
|
imgui.same_line(400)
|
|
imgui.text_colored(status_color, status)
|
|
|
|
imgui.same_line(500)
|
|
if imgui.button(f"Retry##{tid}"):
|
|
self._cb_ticket_retry(tid)
|
|
imgui.same_line()
|
|
if imgui.button(f"Skip##{tid}"):
|
|
self._cb_ticket_skip(tid)
|
|
|
|
if node_open:
|
|
if not is_duplicate:
|
|
rendered.add(tid)
|
|
for child_id in children:
|
|
child = tickets_by_id.get(child_id)
|
|
if child:
|
|
self._render_ticket_dag_node(child, tickets_by_id, children_map, rendered)
|
|
else:
|
|
imgui.text_disabled(" (shown above)")
|
|
imgui.tree_pop()
|
|
|
|
def _render_tool_calls_panel(self):
|
|
imgui.text("Tool call history")
|
|
imgui.same_line()
|
|
if imgui.button("Clear##tc"):
|
|
self._tool_log.clear()
|
|
imgui.separator()
|
|
imgui.begin_child("tc_scroll", imgui.ImVec2(0, 0), False, imgui.WindowFlags_.horizontal_scrollbar)
|
|
|
|
log_copy = list(self._tool_log)
|
|
for idx_minus_one, entry in enumerate(log_copy):
|
|
idx = idx_minus_one + 1
|
|
# Handle both old (tuple) and new (tuple with ts) entries
|
|
if len(entry) == 3:
|
|
script, result, local_ts = entry
|
|
else:
|
|
script, result = entry
|
|
local_ts = 0
|
|
|
|
# Blink effect
|
|
blink_alpha = 0.0
|
|
if local_ts > 0:
|
|
elapsed = time.time() - local_ts
|
|
if elapsed < 3.0:
|
|
blink_alpha = (1.0 - (elapsed / 3.0)) * 0.3 * (math.sin(elapsed * 10) * 0.5 + 0.5)
|
|
|
|
imgui.push_id(f"tc_entry_{idx}")
|
|
if blink_alpha > 0:
|
|
imgui.push_style_color(imgui.Col_.child_bg, vec4(0, 255, 0, blink_alpha))
|
|
imgui.begin_group()
|
|
|
|
first_line = script.strip().splitlines()[0][:80] if script.strip() else "(empty)"
|
|
imgui.text_colored(C_KEY, f"Call #{idx}: {first_line}")
|
|
|
|
# Script Display
|
|
imgui.text_colored(C_LBL, "Script:")
|
|
imgui.same_line()
|
|
if imgui.button(f"[+]##script_{idx}"):
|
|
self.show_text_viewer = True
|
|
self.text_viewer_title = f"Call Script #{idx}"
|
|
self.text_viewer_content = script
|
|
|
|
if self.ui_word_wrap:
|
|
imgui.begin_child(f"tc_script_wrap_{idx}", imgui.ImVec2(-1, 72), True)
|
|
imgui.push_text_wrap_pos(imgui.get_content_region_avail().x)
|
|
imgui.text(script)
|
|
imgui.pop_text_wrap_pos()
|
|
imgui.end_child()
|
|
else:
|
|
imgui.begin_child(f"tc_script_fixed_width_{idx}", imgui.ImVec2(0, 72), True, imgui.WindowFlags_.horizontal_scrollbar)
|
|
imgui.input_text_multiline(f"##tc_script_res_{idx}", script, imgui.ImVec2(-1, -1), imgui.InputTextFlags_.read_only)
|
|
imgui.end_child()
|
|
|
|
# Result Display
|
|
imgui.text_colored(C_LBL, "Output:")
|
|
imgui.same_line()
|
|
if imgui.button(f"[+]##output_{idx}"):
|
|
self.show_text_viewer = True
|
|
self.text_viewer_title = f"Call Output #{idx}"
|
|
self.text_viewer_content = result
|
|
|
|
if self.ui_word_wrap:
|
|
imgui.begin_child(f"tc_res_wrap_{idx}", imgui.ImVec2(-1, 72), True)
|
|
imgui.push_text_wrap_pos(imgui.get_content_region_avail().x)
|
|
imgui.text(result)
|
|
imgui.pop_text_wrap_pos()
|
|
imgui.end_child()
|
|
else:
|
|
imgui.begin_child(f"tc_res_fixed_width_{idx}", imgui.ImVec2(0, 72), True, imgui.WindowFlags_.horizontal_scrollbar)
|
|
imgui.input_text_multiline(f"##tc_res_val_{idx}", result, imgui.ImVec2(-1, -1), imgui.InputTextFlags_.read_only)
|
|
imgui.end_child()
|
|
|
|
imgui.separator()
|
|
if blink_alpha > 0:
|
|
imgui.end_group()
|
|
imgui.pop_style_color()
|
|
imgui.pop_id()
|
|
|
|
if self._scroll_tool_calls_to_bottom:
|
|
imgui.set_scroll_here_y(1.0)
|
|
self._scroll_tool_calls_to_bottom = False
|
|
|
|
imgui.end_child()
|
|
|
|
def _render_comms_history_panel(self):
|
|
imgui.text_colored(vec4(200, 220, 160), f"Status: {self.ai_status}")
|
|
imgui.same_line()
|
|
if imgui.button("Clear##comms"):
|
|
ai_client.clear_comms_log()
|
|
self._comms_log.clear()
|
|
imgui.same_line()
|
|
if imgui.button("Load Log"):
|
|
self.cb_load_prior_log()
|
|
|
|
if self.is_viewing_prior_session:
|
|
imgui.same_line()
|
|
if imgui.button("Exit Prior Session"):
|
|
self.is_viewing_prior_session = False
|
|
self.prior_session_entries.clear()
|
|
self.ai_status = "idle"
|
|
imgui.separator()
|
|
imgui.text_colored(vec4(255, 200, 100), "VIEWING PRIOR SESSION")
|
|
|
|
imgui.separator()
|
|
|
|
imgui.text_colored(C_OUT, "OUT")
|
|
imgui.same_line()
|
|
imgui.text_colored(C_REQ, "request")
|
|
imgui.same_line()
|
|
imgui.text_colored(C_TC, "tool_call")
|
|
imgui.same_line()
|
|
imgui.text(" ")
|
|
imgui.same_line()
|
|
imgui.text_colored(C_IN, "IN")
|
|
imgui.same_line()
|
|
imgui.text_colored(C_RES, "response")
|
|
imgui.same_line()
|
|
imgui.text_colored(C_TR, "tool_result")
|
|
imgui.separator()
|
|
|
|
# Use tinted background for prior session
|
|
if self.is_viewing_prior_session:
|
|
imgui.push_style_color(imgui.Col_.child_bg, vec4(40, 30, 20))
|
|
|
|
imgui.begin_child("comms_scroll", imgui.ImVec2(0, 0), False, imgui.WindowFlags_.horizontal_scrollbar)
|
|
|
|
log_to_render = self.prior_session_entries if self.is_viewing_prior_session else list(self._comms_log)
|
|
|
|
for idx_minus_one, entry in enumerate(log_to_render):
|
|
idx = idx_minus_one + 1
|
|
local_ts = entry.get("local_ts", 0)
|
|
|
|
# Blink effect
|
|
blink_alpha = 0.0
|
|
if local_ts > 0 and not self.is_viewing_prior_session:
|
|
elapsed = time.time() - local_ts
|
|
if elapsed < 3.0:
|
|
blink_alpha = (1.0 - (elapsed / 3.0)) * 0.3 * (math.sin(elapsed * 10) * 0.5 + 0.5)
|
|
|
|
imgui.push_id(f"comms_{idx}")
|
|
|
|
if blink_alpha > 0:
|
|
# Draw a background highlight for the entry
|
|
draw_list = imgui.get_window_draw_list()
|
|
p_min = imgui.get_cursor_screen_pos()
|
|
# Estimate height or just use a fixed height for the background
|
|
# It's better to wrap the entry in a group or just use separators
|
|
# For now, let's just use the style color push if we are sure we pop it
|
|
imgui.push_style_color(imgui.Col_.child_bg, vec4(0, 255, 0, blink_alpha))
|
|
# We still need a child or a group to apply the background to
|
|
imgui.begin_group()
|
|
|
|
d = entry.get("direction", "IN")
|
|
k = entry.get("kind", "response")
|
|
|
|
imgui.text_colored(vec4(160, 160, 160), f"#{idx}")
|
|
imgui.same_line()
|
|
imgui.text_colored(vec4(160, 160, 160), entry.get("ts", "00:00:00"))
|
|
imgui.same_line()
|
|
imgui.text_colored(DIR_COLORS.get(d, C_VAL), d)
|
|
imgui.same_line()
|
|
imgui.text_colored(KIND_COLORS.get(k, C_VAL), k)
|
|
imgui.same_line()
|
|
imgui.text_colored(C_LBL, f"{entry.get('provider', '?')}/{entry.get('model', '?')}")
|
|
|
|
payload = entry.get("payload", {})
|
|
|
|
if k == "request":
|
|
self._render_heavy_text("message", payload.get("message", ""))
|
|
elif k == "response":
|
|
imgui.text_colored(C_LBL, "round:")
|
|
imgui.same_line()
|
|
imgui.text_colored(C_VAL, str(payload.get("round", "")))
|
|
imgui.text_colored(C_LBL, "stop_reason:")
|
|
imgui.same_line()
|
|
imgui.text_colored(vec4(255, 200, 120), str(payload.get("stop_reason", "")))
|
|
|
|
text = payload.get("text", "")
|
|
if text: self._render_heavy_text("text", text)
|
|
|
|
imgui.text_colored(C_LBL, "tool_calls:")
|
|
tcs = payload.get("tool_calls", [])
|
|
if not tcs: imgui.text_colored(C_VAL, " (none)")
|
|
for tc_i, tc in enumerate(tcs):
|
|
imgui.text_colored(C_KEY, f" call[{tc_i}] {tc.get('name', '?')}")
|
|
if tc.get("id"):
|
|
imgui.text_colored(C_LBL, " id:")
|
|
imgui.same_line()
|
|
imgui.text_colored(C_VAL, str(tc["id"]))
|
|
if "args" in tc or "input" in tc:
|
|
self._render_heavy_text(f"call_{tc_i}_args", str(tc.get("args") or tc.get("input")))
|
|
|
|
elif k == "tool_call":
|
|
imgui.text_colored(C_KEY, payload.get("name", "?"))
|
|
if payload.get("id"):
|
|
imgui.text_colored(C_LBL, " id:")
|
|
imgui.same_line()
|
|
imgui.text_colored(C_VAL, str(payload["id"]))
|
|
if "script" in payload: self._render_heavy_text("script", payload["script"])
|
|
if "args" in payload: self._render_heavy_text("args", str(payload["args"]))
|
|
|
|
elif k == "tool_result":
|
|
imgui.text_colored(C_KEY, payload.get("name", "?"))
|
|
if payload.get("id"):
|
|
imgui.text_colored(C_LBL, " id:")
|
|
imgui.same_line()
|
|
imgui.text_colored(C_VAL, str(payload["id"]))
|
|
if "output" in payload: self._render_heavy_text("output", payload["output"])
|
|
if "results" in payload:
|
|
for r_i, r in enumerate(payload["results"]):
|
|
imgui.text_colored(C_LBL, f" Result[{r_i}]:")
|
|
self._render_heavy_text(f"res_{r_i}", str(r))
|
|
|
|
if "usage" in payload:
|
|
u = payload["usage"]
|
|
u_str = f"In: {u.get('input_tokens', 0)} Out: {u.get('output_tokens', 0)}"
|
|
if u.get("cache_read_input_tokens"): u_str += f" (Cache: {u['cache_read_input_tokens']})"
|
|
imgui.text_colored(C_SUB, f" Usage: {u_str}")
|
|
|
|
imgui.separator()
|
|
if blink_alpha > 0:
|
|
imgui.end_group()
|
|
imgui.pop_style_color()
|
|
imgui.pop_id()
|
|
|
|
if self._scroll_comms_to_bottom:
|
|
imgui.set_scroll_here_y(1.0)
|
|
self._scroll_comms_to_bottom = False
|
|
|
|
imgui.end_child()
|
|
if self.is_viewing_prior_session:
|
|
imgui.pop_style_color()
|
|
|
|
def _render_system_prompts_panel(self):
|
|
imgui.text("Global System Prompt (all projects)")
|
|
ch, self.ui_global_system_prompt = imgui.input_text_multiline("##gsp", self.ui_global_system_prompt, imgui.ImVec2(-1, 100))
|
|
imgui.separator()
|
|
imgui.text("Project System Prompt")
|
|
ch, self.ui_project_system_prompt = imgui.input_text_multiline("##psp", self.ui_project_system_prompt, imgui.ImVec2(-1, 100))
|
|
|
|
def _render_theme_panel(self):
|
|
exp, self.show_windows["Theme"] = imgui.begin("Theme", self.show_windows["Theme"])
|
|
if exp:
|
|
imgui.text("Palette")
|
|
cp = theme.get_current_palette()
|
|
if imgui.begin_combo("##pal", cp):
|
|
for p in theme.get_palette_names():
|
|
if imgui.selectable(p, p == cp)[0]:
|
|
theme.apply(p)
|
|
imgui.end_combo()
|
|
imgui.separator()
|
|
imgui.text("Font")
|
|
imgui.push_item_width(-150)
|
|
ch, path = imgui.input_text("##fontp", theme.get_current_font_path())
|
|
imgui.pop_item_width()
|
|
if ch: theme._current_font_path = path
|
|
imgui.same_line()
|
|
if imgui.button("Browse##font"):
|
|
r = hide_tk_root()
|
|
p = filedialog.askopenfilename(filetypes=[("Fonts", "*.ttf *.otf"), ("All", "*.*")])
|
|
r.destroy()
|
|
if p: theme._current_font_path = p
|
|
|
|
imgui.text("Size (px)")
|
|
imgui.same_line()
|
|
imgui.push_item_width(100)
|
|
ch, size = imgui.input_float("##fonts", theme.get_current_font_size(), 1.0, 1.0, "%.0f")
|
|
if ch: theme._current_font_size = size
|
|
imgui.pop_item_width()
|
|
imgui.same_line()
|
|
if imgui.button("Apply Font (Requires Restart)"):
|
|
self._flush_to_config()
|
|
save_config(self.config)
|
|
self.ai_status = "Font settings saved. Restart required."
|
|
|
|
imgui.separator()
|
|
imgui.text("UI Scale (DPI)")
|
|
ch, scale = imgui.slider_float("##scale", theme.get_current_scale(), 0.5, 3.0, "%.2f")
|
|
if ch: theme.set_scale(scale)
|
|
imgui.end()
|
|
|
|
def _load_fonts(self):
|
|
font_path, font_size = theme.get_font_loading_params()
|
|
if font_path and Path(font_path).exists():
|
|
hello_imgui.load_font(font_path, font_size)
|
|
|
|
def _post_init(self):
|
|
theme.apply_current()
|
|
|
|
def run(self):
|
|
"""Initializes the ImGui runner and starts the main application loop."""
|
|
if "--headless" in sys.argv:
|
|
print("Headless mode active")
|
|
self._fetch_models(self.current_provider)
|
|
|
|
import uvicorn
|
|
headless_cfg = self.config.get("headless", {})
|
|
port = headless_cfg.get("port", 8000)
|
|
|
|
api = self.create_api()
|
|
uvicorn.run(api, host="0.0.0.0", port=port)
|
|
else:
|
|
theme.load_from_config(self.config)
|
|
|
|
self.runner_params = hello_imgui.RunnerParams()
|
|
self.runner_params.app_window_params.window_title = "manual slop"
|
|
self.runner_params.app_window_params.window_geometry.size = (1680, 1200)
|
|
self.runner_params.imgui_window_params.enable_viewports = False
|
|
self.runner_params.imgui_window_params.default_imgui_window_type = hello_imgui.DefaultImGuiWindowType.provide_full_screen_dock_space
|
|
self.runner_params.fps_idling.enable_idling = False
|
|
self.runner_params.imgui_window_params.show_menu_bar = True
|
|
self.runner_params.ini_folder_type = hello_imgui.IniFolderType.current_folder
|
|
self.runner_params.ini_filename = "manualslop_layout.ini"
|
|
|
|
self.runner_params.callbacks.show_gui = self._gui_func
|
|
self.runner_params.callbacks.show_menus = self._show_menus
|
|
self.runner_params.callbacks.load_additional_fonts = self._load_fonts
|
|
self.runner_params.callbacks.post_init = self._post_init
|
|
|
|
self._fetch_models(self.current_provider)
|
|
|
|
# Start API hooks server (if enabled)
|
|
self.hook_server = api_hooks.HookServer(self)
|
|
self.hook_server.start()
|
|
|
|
immapp.run(self.runner_params)
|
|
|
|
# On exit
|
|
self.hook_server.stop()
|
|
|
|
self.perf_monitor.stop()
|
|
ai_client.cleanup() # Destroy active API caches to stop billing
|
|
self._flush_to_project()
|
|
self._save_active_project()
|
|
self._flush_to_config()
|
|
save_config(self.config)
|
|
session_logger.close_session()
|
|
|
|
def main():
|
|
app = App()
|
|
app.run()
|
|
|
|
if __name__ == "__main__":
|
|
main()
|