64 Commits

Author SHA1 Message Date
ed fb1117becc Merge branch 'master' into sim 2026-02-23 20:03:45 -05:00
ed df90bad4a1 Merge branch 'master' of https://git.cozyair.dev/ed/manual_slop
# Conflicts:
#	manual_slop.toml
2026-02-23 20:03:21 -05:00
ed 9f2ed38845 Merge branch 'master' of https://git.cozyair.dev/ed/manual_slop into sim
# Conflicts:
#	manual_slop.toml
2026-02-23 20:02:58 -05:00
ed 59f4df4475 docs(conductor): Synchronize docs for track 'Human-Like UX Interaction Test' 2026-02-23 19:55:25 -05:00
ed c4da60d1c5 chore(conductor): Mark track 'Human-Like UX Interaction Test' as complete 2026-02-23 19:54:47 -05:00
ed 47c4117763 conductor(plan): Mark track 'Human-Like UX Interaction Test' as complete 2026-02-23 19:54:36 -05:00
ed 8e63b31508 conductor(checkpoint): Phase 4: Final Integration & Regression complete 2026-02-23 19:54:24 -05:00
ed 8bd280efc1 feat(simulation): stabilize IPC layer and verify full workflow 2026-02-23 19:53:32 -05:00
r00tz 75e1cf84fe fixed up gui_2.py
multi viewport works and no crashes thus far
2026-02-23 19:33:09 -05:00
ed ba97ccda3c conductor(plan): Mark Phase 3 as complete 2026-02-23 19:28:31 -05:00
ed 0f04e066ef conductor(checkpoint): Phase 3: History & Session Verification complete 2026-02-23 19:28:23 -05:00
ed 5e1b965311 feat(simulation): add discussion switching and truncation simulation logic 2026-02-23 19:26:51 -05:00
ed fdb9b59d36 conductor(plan): Mark Phase 2 as complete 2026-02-23 19:25:39 -05:00
ed 9c4a72c734 conductor(checkpoint): Phase 2: Workflow Simulation complete 2026-02-23 19:25:31 -05:00
ed 6d16438477 feat(hooks): add get_indicator_state and verify thinking/live markers 2026-02-23 19:25:08 -05:00
ed bd5dc16715 feat(simulation): implement project scaffolding and discussion loop logic 2026-02-23 19:24:26 -05:00
ed 895004ddc5 conductor(plan): Mark Phase 1 as complete 2026-02-23 19:23:40 -05:00
ed 76265319a7 conductor(checkpoint): Phase 1: Infrastructure & Automation Core complete 2026-02-23 19:23:31 -05:00
ed bfe9ef014d feat(simulation): add ping-pong interaction script 2026-02-23 19:20:29 -05:00
ed d326242667 feat(simulation): implement UserSimAgent for human-like interaction 2026-02-23 19:20:24 -05:00
ed f36d539c36 feat(hooks): extend ApiHookClient and GUI for tab/listbox control 2026-02-23 19:20:20 -05:00
ed 1d674c3a1e chore(conductor): Add new track 'Human-Like UX Interaction Test' 2026-02-23 19:14:35 -05:00
ed 1db5ac57ec remove gui layout refinement track 2026-02-23 19:02:57 -05:00
ed d8e42a697b chore(conductor): Archive track 'gui_layout_refinement_20260223' 2026-02-23 19:02:34 -05:00
ed 050d995660 conductor(plan): Mark task 'Apply review suggestions' as complete 2026-02-23 19:02:10 -05:00
ed 0c5ac55053 fix(conductor): Apply review suggestions for track 'gui_layout_refinement_20260223' 2026-02-23 19:02:02 -05:00
ed 450c17b96e docs(conductor): Synchronize docs for track 'Review GUI design' 2026-02-23 18:59:32 -05:00
ed 36ab691fbf chore(conductor): Mark track 'Review GUI design' as complete 2026-02-23 18:59:05 -05:00
ed 8cca046d96 conductor(plan): Mark track 'GUI Layout Audit and UX Refinement' as complete 2026-02-23 18:58:56 -05:00
ed 22f8943619 conductor(checkpoint): Checkpoint end of Phase 4: Iterative Refinement and Final Audit 2026-02-23 18:58:38 -05:00
ed 5257db5aca conductor(plan): Mark Phase 4 refinement tasks as complete 2026-02-23 18:57:10 -05:00
ed ebd81586bb feat(ui): Implement walkthrough refinements (Diagnostics, Tabs, Selectable text, Session Loading) 2026-02-23 18:57:02 -05:00
ed ae5dd328e1 conductor(plan): Add refinement tasks from user feedback 2026-02-23 18:54:43 -05:00
ed b3cf58adb4 conductor(plan): Mark phase 'Phase 3: Visual and Tactile Enhancements' as complete 2026-02-23 18:48:11 -05:00
ed 4a4cf8c14b conductor(checkpoint): Checkpoint end of Phase 3: Visual and Tactile Enhancements 2026-02-23 18:47:57 -05:00
ed e3767d2994 conductor(plan): Mark Phase 3 tasks as complete 2026-02-23 18:47:22 -05:00
ed c5d54cfae2 feat(ui): Add blinking indicators and increase diagnostic density 2026-02-23 18:47:14 -05:00
ed 975fcde9bd conductor(plan): Mark phase 'Phase 2: Layout Reorganization' as complete 2026-02-23 18:45:46 -05:00
ed 97367fe537 conductor(checkpoint): Checkpoint end of Phase 2: Layout Reorganization 2026-02-23 18:45:25 -05:00
ed 72c898e8c2 conductor(plan): Mark Phase 2 tasks as complete 2026-02-23 18:44:26 -05:00
ed f8fb58db1f style(ui): Add no_collapse=True to main Hub windows 2026-02-23 18:44:13 -05:00
ed c341de5515 feat(ui): Consolidate GUI into Hub-based layout 2026-02-23 18:43:35 -05:00
ed b1687f4a6b conductor(plan): Mark phase 'Phase 1: Audit and Structural Design' as complete 2026-02-23 18:40:00 -05:00
ed 6a35da1eb2 conductor(checkpoint): Checkpoint end of Phase 1: Audit and Structural Design 2026-02-23 18:39:48 -05:00
ed 0e06956d63 conductor(plan): Mark review task as complete 2026-02-23 18:39:13 -05:00
ed 8448c71287 docs(gui): Add GUI Reorganization Proposal 2026-02-23 18:38:55 -05:00
ed d177c0bf3c docs(gui): Add GUI Layout Audit Report 2026-02-23 18:38:22 -05:00
ed 040fec3613 remove vendor alignment track 2026-02-23 17:12:17 -05:00
ed e757922c72 chore(conductor): Archive track 'api_vendor_alignment_20260223' 2026-02-23 17:11:57 -05:00
ed 05cd1b6596 conductor(plan): Finalize checkpoint for track 'api_vendor_alignment_20260223' 2026-02-23 17:09:53 -05:00
ed e9126b47db chore(conductor): Mark track 'api_vendor_alignment_20260223' as complete 2026-02-23 17:09:41 -05:00
ed 0f9f235438 feat(tokens): Implement accurate token counting for Gemini history 2026-02-23 17:08:08 -05:00
ed f0eb5382fe feat(anthropic): Align Anthropic integration with latest SDK and enable prompt caching beta 2026-02-23 17:07:22 -05:00
ed 842bfc407c feat(gemini): Align Gemini integration with latest google-genai SDK 2026-02-23 17:05:40 -05:00
ed 5ec4283f41 chore(conductor): Mark Phase 1 of track 'api_vendor_alignment_20260223' as complete 2026-02-23 17:02:40 -05:00
ed a359f19cdc chore(conductor): Add new track 'Review GUI design and UX refinement' 2026-02-23 16:59:59 -05:00
ed 6287f24e51 chore(conductor): Add new track 'Review project codebase for API vendor alignment' 2026-02-23 16:56:46 -05:00
ed faa37928cd remove api_metrics from tracks 2026-02-23 16:53:36 -05:00
ed 094e729e89 chore(conductor): Archive track 'api_metrics_20260223' 2026-02-23 16:53:25 -05:00
ed ad8c0e208b fix: Add sys.path to tests/test_gui_updates.py to resolve aggregate import 2026-02-23 16:53:08 -05:00
ed ffeb6f50f5 close live_gui_testing 2026-02-23 16:50:37 -05:00
ed 58594e03df chore(conductor): Archive track 'live_gui_testing_20260223' 2026-02-23 16:50:18 -05:00
ed da28d839f6 conductor(plan): Mark task 'Apply review suggestions' as complete 2026-02-23 16:49:55 -05:00
ed 075d760721 fix(conductor): Apply review suggestions for track 'live_gui_testing_20260223' 2026-02-23 16:49:36 -05:00
51 changed files with 1870 additions and 471 deletions
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+53 -30
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@@ -18,7 +18,8 @@ import datetime
from pathlib import Path
import file_cache
import mcp_client
import google.genai
import anthropic
from google import genai
from google.genai import types
from events import EventEmitter
@@ -155,7 +156,7 @@ class ProviderError(Exception):
def _classify_anthropic_error(exc: Exception) -> ProviderError:
try:
import anthropic
if isinstance(exc, anthropic.RateLimitError):
return ProviderError("rate_limit", "anthropic", exc)
if isinstance(exc, anthropic.AuthenticationError):
@@ -276,9 +277,9 @@ def list_models(provider: str) -> list[str]:
def _list_gemini_models(api_key: str) -> list[str]:
# from google import genai # Removed
try:
client = google.genai.Client(api_key=api_key)
client = genai.Client(api_key=api_key)
models = []
for m in client.models.list():
name = m.name
@@ -292,7 +293,7 @@ def _list_gemini_models(api_key: str) -> list[str]:
def _list_anthropic_models() -> list[str]:
import anthropic
try:
creds = _load_credentials()
client = anthropic.Anthropic(api_key=creds["anthropic"]["api_key"])
@@ -370,7 +371,7 @@ def _get_anthropic_tools() -> list[dict]:
def _gemini_tool_declaration():
# from google.genai import types # Removed
declarations = []
@@ -380,15 +381,17 @@ def _gemini_tool_declaration():
continue
props = {}
for pname, pdef in spec["parameters"].get("properties", {}).items():
props[pname] = google.genai.types.Schema(
type=google.genai.types.Type.STRING,
ptype_str = pdef.get("type", "string").upper()
ptype = getattr(types.Type, ptype_str, types.Type.STRING)
props[pname] = types.Schema(
type=ptype,
description=pdef.get("description", ""),
)
declarations.append(google.genai.types.FunctionDeclaration(
declarations.append(types.FunctionDeclaration(
name=spec["name"],
description=spec["description"],
parameters=google.genai.types.Schema(
type=google.genai.types.Type.OBJECT,
parameters=types.Schema(
type=types.Type.OBJECT,
properties=props,
required=spec["parameters"].get("required", []),
),
@@ -396,7 +399,7 @@ def _gemini_tool_declaration():
# PowerShell tool
if _agent_tools.get(TOOL_NAME, True):
declarations.append(google.genai.types.FunctionDeclaration(
declarations.append(types.FunctionDeclaration(
name=TOOL_NAME,
description=(
"Run a PowerShell script within the project base_dir. "
@@ -404,11 +407,11 @@ def _gemini_tool_declaration():
"The working directory is set to base_dir automatically. "
"stdout and stderr are returned to you as the result."
),
parameters=google.genai.types.Schema(
type=google.genai.types.Type.OBJECT,
parameters=types.Schema(
type=types.Type.OBJECT,
properties={
"script": google.genai.types.Schema(
type=google.genai.types.Type.STRING,
"script": types.Schema(
type=types.Type.STRING,
description="The PowerShell script to execute."
)
},
@@ -416,7 +419,7 @@ def _gemini_tool_declaration():
),
))
return google.genai.types.Tool(function_declarations=declarations) if declarations else None
return types.Tool(function_declarations=declarations) if declarations else None
def _run_script(script: str, base_dir: str) -> str:
@@ -511,9 +514,8 @@ def _content_block_to_dict(block) -> dict:
def _ensure_gemini_client():
global _gemini_client
if _gemini_client is None:
# from google import genai # Removed
creds = _load_credentials()
_gemini_client = google.genai.Client(api_key=creds["gemini"]["api_key"])
_gemini_client = genai.Client(api_key=creds["gemini"]["api_key"])
@@ -530,7 +532,7 @@ def _get_gemini_history_list(chat):
def _send_gemini(md_content: str, user_message: str, base_dir: str, file_items: list[dict] | None = None) -> str:
global _gemini_chat, _gemini_cache, _gemini_cache_md_hash, _gemini_cache_created_at
# from google.genai import types # Removed
try:
_ensure_gemini_client(); mcp_client.configure(file_items or [], [base_dir])
sys_instr = f"{_get_combined_system_prompt()}\n\n<context>\n{md_content}\n</context>"
@@ -563,29 +565,29 @@ def _send_gemini(md_content: str, user_message: str, base_dir: str, file_items:
_append_comms("OUT", "request", {"message": f"[CACHE TTL] Rebuilding cache (expired after {int(elapsed)}s)..."})
if not _gemini_chat:
chat_config = google.genai.types.GenerateContentConfig(
chat_config = types.GenerateContentConfig(
system_instruction=sys_instr,
tools=tools_decl,
temperature=_temperature,
max_output_tokens=_max_tokens,
safety_settings=[google.genai.types.SafetySetting(category="HARM_CATEGORY_DANGEROUS_CONTENT", threshold="BLOCK_ONLY_HIGH")]
safety_settings=[types.SafetySetting(category="HARM_CATEGORY_DANGEROUS_CONTENT", threshold="BLOCK_ONLY_HIGH")]
)
try:
# Gemini requires 1024 (Flash) or 4096 (Pro) tokens to cache.
_gemini_cache = _gemini_client.caches.create(
model=_model,
config=google.genai.types.CreateCachedContentConfig(
config=types.CreateCachedContentConfig(
system_instruction=sys_instr,
tools=tools_decl,
ttl=f"{_GEMINI_CACHE_TTL}s",
)
)
_gemini_cache_created_at = time.time()
chat_config = google.genai.types.GenerateContentConfig(
chat_config = types.GenerateContentConfig(
cached_content=_gemini_cache.name,
temperature=_temperature,
max_output_tokens=_max_tokens,
safety_settings=[google.genai.types.SafetySetting(category="HARM_CATEGORY_DANGEROUS_CONTENT", threshold="BLOCK_ONLY_HIGH")]
safety_settings=[types.SafetySetting(category="HARM_CATEGORY_DANGEROUS_CONTENT", threshold="BLOCK_ONLY_HIGH")]
)
_append_comms("OUT", "request", {"message": f"[CACHE CREATED] {_gemini_cache.name}"})
except Exception as e:
@@ -857,9 +859,12 @@ def _trim_anthropic_history(system_blocks: list[dict], history: list[dict]):
def _ensure_anthropic_client():
global _anthropic_client
if _anthropic_client is None:
import anthropic
creds = _load_credentials()
_anthropic_client = anthropic.Anthropic(api_key=creds["anthropic"]["api_key"])
# Enable prompt caching beta
_anthropic_client = anthropic.Anthropic(
api_key=creds["anthropic"]["api_key"],
default_headers={"anthropic-beta": "prompt-caching-2024-07-31"}
)
def _chunk_text(text: str, chunk_size: int) -> list[str]:
@@ -1187,9 +1192,27 @@ def get_history_bleed_stats() -> dict:
"percentage": percentage,
}
elif _provider == "gemini":
# For Gemini, token estimation is complex and handled by the server.
# We don't have a reliable client-side estimate, so we return a
# "not implemented" state for now.
if _gemini_chat:
try:
_ensure_gemini_client()
history = _get_gemini_history_list(_gemini_chat)
if history:
resp = _gemini_client.models.count_tokens(
model=_model,
contents=history
)
current_tokens = resp.total_tokens
limit_tokens = _GEMINI_MAX_INPUT_TOKENS
percentage = (current_tokens / limit_tokens) * 100 if limit_tokens > 0 else 0
return {
"provider": "gemini",
"limit": limit_tokens,
"current": current_tokens,
"percentage": percentage,
}
except Exception:
pass
return {
"provider": "gemini",
"limit": _GEMINI_MAX_INPUT_TOKENS,
+53 -3
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@@ -3,7 +3,7 @@ import json
import time
class ApiHookClient:
def __init__(self, base_url="http://127.0.0.1:8999", max_retries=3, retry_delay=1):
def __init__(self, base_url="http://127.0.0.1:8999", max_retries=5, retry_delay=2):
self.base_url = base_url
self.max_retries = max_retries
self.retry_delay = retry_delay
@@ -29,9 +29,9 @@ class ApiHookClient:
for attempt in range(self.max_retries + 1):
try:
if method == 'GET':
response = requests.get(url, timeout=2)
response = requests.get(url, timeout=5)
elif method == 'POST':
response = requests.post(url, json=data, headers=headers, timeout=2)
response = requests.post(url, json=data, headers=headers, timeout=5)
else:
raise ValueError(f"Unsupported HTTP method: {method}")
@@ -83,3 +83,53 @@ class ApiHookClient:
def post_gui(self, gui_data):
return self._make_request('POST', '/api/gui', data=gui_data)
def select_tab(self, tab_bar, tab):
"""Tells the GUI to switch to a specific tab in a tab bar."""
return self.post_gui({
"action": "select_tab",
"tab_bar": tab_bar,
"tab": tab
})
def select_list_item(self, listbox, item_value):
"""Tells the GUI to select an item in a listbox by its value."""
return self.post_gui({
"action": "select_list_item",
"listbox": listbox,
"item_value": item_value
})
def set_value(self, item, value):
"""Sets the value of a GUI item."""
return self.post_gui({
"action": "set_value",
"item": item,
"value": value
})
def click(self, item, *args, **kwargs):
"""Simulates a click on a GUI button or item."""
user_data = kwargs.pop('user_data', None)
return self.post_gui({
"action": "click",
"item": item,
"args": args,
"kwargs": kwargs,
"user_data": user_data
})
def get_indicator_state(self, tag):
"""Checks if an indicator is shown using the diagnostics endpoint."""
# Mapping tag to the keys used in diagnostics endpoint
mapping = {
"thinking_indicator": "thinking",
"operations_live_indicator": "live",
"prior_session_indicator": "prior"
}
key = mapping.get(tag, tag)
try:
diag = self._make_request('GET', '/api/gui/diagnostics')
return {"tag": tag, "shown": diag.get(key, False)}
except Exception as e:
return {"tag": tag, "shown": False, "error": str(e)}
+39 -7
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@@ -21,11 +21,12 @@ class HookHandler(BaseHTTPRequestHandler):
self.end_headers()
self.wfile.write(json.dumps({'status': 'ok'}).encode('utf-8'))
elif self.path == '/api/project':
import project_manager
self.send_response(200)
self.send_header('Content-Type', 'application/json')
self.end_headers()
self.wfile.write(
json.dumps({'project': app.project}).encode('utf-8'))
flat = project_manager.flat_config(app.project)
self.wfile.write(json.dumps({'project': flat}).encode('utf-8'))
elif self.path == '/api/session':
self.send_response(200)
self.send_header('Content-Type', 'application/json')
@@ -41,6 +42,35 @@ class HookHandler(BaseHTTPRequestHandler):
if hasattr(app, 'perf_monitor'):
metrics = app.perf_monitor.get_metrics()
self.wfile.write(json.dumps({'performance': metrics}).encode('utf-8'))
elif self.path == '/api/gui/diagnostics':
# Safe way to query multiple states at once via the main thread queue
event = threading.Event()
result = {}
def check_all():
import dearpygui.dearpygui as dpg
try:
result["thinking"] = dpg.is_item_shown("thinking_indicator") if dpg.does_item_exist("thinking_indicator") else False
result["live"] = dpg.is_item_shown("operations_live_indicator") if dpg.does_item_exist("operations_live_indicator") else False
result["prior"] = dpg.is_item_shown("prior_session_indicator") if dpg.does_item_exist("prior_session_indicator") else False
finally:
event.set()
with app._pending_gui_tasks_lock:
app._pending_gui_tasks.append({
"action": "custom_callback",
"callback": check_all
})
if event.wait(timeout=2):
self.send_response(200)
self.send_header('Content-Type', 'application/json')
self.end_headers()
self.wfile.write(json.dumps(result).encode('utf-8'))
else:
self.send_response(504)
self.end_headers()
self.wfile.write(json.dumps({'error': 'timeout'}).encode('utf-8'))
else:
self.send_response(404)
self.end_headers()
@@ -70,11 +100,6 @@ class HookHandler(BaseHTTPRequestHandler):
self.wfile.write(
json.dumps({'status': 'updated'}).encode('utf-8'))
elif self.path == '/api/gui':
if not hasattr(app, '_pending_gui_tasks'):
app._pending_gui_tasks = []
if not hasattr(app, '_pending_gui_tasks_lock'):
app._pending_gui_tasks_lock = threading.Lock()
with app._pending_gui_tasks_lock:
app._pending_gui_tasks.append(data)
@@ -105,6 +130,13 @@ class HookServer:
def start(self):
if not getattr(self.app, 'test_hooks_enabled', False):
return
# Ensure the app has the task queue and lock initialized
if not hasattr(self.app, '_pending_gui_tasks'):
self.app._pending_gui_tasks = []
if not hasattr(self.app, '_pending_gui_tasks_lock'):
self.app._pending_gui_tasks_lock = threading.Lock()
self.server = HookServerInstance(('127.0.0.1', self.port), HookHandler, self.app)
self.thread = threading.Thread(target=self.server.serve_forever, daemon=True)
self.thread.start()
@@ -0,0 +1,5 @@
# Track api_vendor_alignment_20260223 Context
- [Specification](./spec.md)
- [Implementation Plan](./plan.md)
- [Metadata](./metadata.json)
@@ -0,0 +1,8 @@
{
"track_id": "api_vendor_alignment_20260223",
"type": "chore",
"status": "new",
"created_at": "2026-02-23T12:00:00Z",
"updated_at": "2026-02-23T12:00:00Z",
"description": "Review project codebase, documentation related to project, and make sure agenti vendor apis are being used as properly stated by offical documentation from google for gemini and anthropic for claude."
}
@@ -0,0 +1,56 @@
# Implementation Plan: API Usage Audit and Alignment
## Phase 1: Research and Comprehensive Audit [checkpoint: 5ec4283]
Identify all points of interaction with AI SDKs and compare them with latest official documentation.
- [x] Task: List and categorize all AI SDK usage in the project.
- [x] Search for all imports of `google.genai` and `anthropic`.
- [x] Document specific functions and methods being called.
- [x] Task: Research latest official documentation for `google-genai` and `anthropic` Python SDKs.
- [x] Verify latest patterns for Client initialization.
- [x] Verify latest patterns for Context/Prompt caching.
- [x] Verify latest patterns for Tool/Function calling.
- [x] Task: Conductor - User Manual Verification 'Phase 1: Research and Comprehensive Audit' (Protocol in workflow.md)
## Phase 2: Gemini (google-genai) Alignment [checkpoint: 842bfc4]
Align Gemini integration with documented best practices.
- [x] Task: Refactor Gemini Client and Chat initialization if needed.
- [x] Write Tests
- [x] Implement Feature
- [x] Task: Optimize Gemini Context Caching.
- [x] Write Tests
- [x] Implement Feature
- [x] Task: Align Gemini Tool Declaration and handling.
- [x] Write Tests
- [x] Implement Feature
- [x] Task: Conductor - User Manual Verification 'Phase 2: Gemini (google-genai) Alignment' (Protocol in workflow.md)
## Phase 3: Anthropic Alignment [checkpoint: f0eb538]
Align Anthropic integration with documented best practices.
- [x] Task: Refactor Anthropic Client and Message creation if needed.
- [x] Write Tests
- [x] Implement Feature
- [x] Task: Optimize Anthropic Prompt Caching (`cache_control`).
- [x] Write Tests
- [x] Implement Feature
- [x] Task: Align Anthropic Tool Declaration and handling.
- [x] Write Tests
- [x] Implement Feature
- [x] Task: Conductor - User Manual Verification 'Phase 3: Anthropic Alignment' (Protocol in workflow.md)
## Phase 4: History and Token Management [checkpoint: 0f9f235]
Ensure accurate token estimation and robust history handling.
- [x] Task: Review and align token estimation logic for both providers.
- [x] Write Tests
- [x] Implement Feature
- [x] Task: Audit message history truncation and context window management.
- [x] Write Tests
- [x] Implement Feature
- [x] Task: Conductor - User Manual Verification 'Phase 4: History and Token Management' (Protocol in workflow.md)
## Phase 5: Final Validation and Cleanup [checkpoint: e9126b4]
- [x] Task: Perform a full test run using `run_tests.py` to ensure 100% pass rate.
- [x] Task: Conductor - User Manual Verification 'Phase 5: Final Validation and Cleanup' (Protocol in workflow.md)
@@ -0,0 +1,29 @@
# Specification: API Usage Audit and Alignment
## Overview
This track involves a comprehensive audit of the "Manual Slop" codebase to ensure that the integration with Google Gemini (`google-genai`) and Anthropic Claude (`anthropic`) SDKs aligns perfectly with their latest official documentation and best practices. The goal is to identify discrepancies, performance bottlenecks, or deprecated patterns and implement the necessary fixes.
## Scope
- **Target:** Full codebase audit, with primary focus on `ai_client.py`, `mcp_client.py`, and any other modules interacting with AI SDKs.
- **Key Areas:**
- **Caching Mechanisms:** Verify Gemini context caching and Anthropic prompt caching implementation.
- **Tool Calling:** Audit function declarations, parameter schemas, and result handling.
- **History & Tokens:** Review message history management, token estimation accuracy, and context window handling.
## Functional Requirements
1. **SDK Audit:** Compare existing code patterns against the latest official Python SDK documentation for Gemini and Anthropic.
2. **Feature Validation:**
- Ensure `google-genai` usage follows the latest `Client` and `types` patterns.
- Ensure `anthropic` usage utilizes `cache_control` correctly for optimal performance.
3. **Discrepancy Remediation:** Implement code changes to align the implementation with documented standards.
4. **Validation:** Execute tests to ensure that API interactions remain functional and improved.
## Acceptance Criteria
- Full audit completed for all AI SDK interactions.
- Identified discrepancies are documented and fixed.
- Caching, tool calling, and history management logic are verified against latest SDK standards.
- All existing and new tests pass successfully.
## Out of Scope
- Adding support for new AI providers not already in the project.
- Major UI refactoring unless directly required by API changes.
@@ -0,0 +1,40 @@
# GUI Layout Audit Report
## Current Panel Distribution
The GUI currently uses a multi-column layout with hardcoded initial positions:
1. **Column 1 (Left):** Projects (Top), Files (Mid), Diagnostics (Bottom).
2. **Column 2 (Center-Left):** Screenshots (Top), Theme (Mid), System Prompts (Bottom).
3. **Column 3 (Center-Right):** Discussion History (Full Height).
4. **Column 4 (Right):** Provider (Top), Message (Mid-Top), Response (Mid-Bottom), Tool Calls (Bottom).
5. **Column 5 (Far-Right):** Comms History (Full Height).
## Identified Issues
### 1. Context Fragmentation
- **Projects**, **Files**, and **Screenshots** are related to context gathering but are split across two different columns.
- **Base Dir** inputs are repeated for Files and Screenshots, taking up redundant vertical space.
### 2. Configuration Fragmentation
- **Provider** settings (API keys, models, temperature) are on the far right.
- **System Prompts** (Global and Project) are in the center-bottom.
- These should be unified into a single "AI Configuration" or "Settings" hub.
### 3. Workflow Disconnect (The "Chat Loop")
- The user composes in **Message**, views in **Response**, and then manually adds to **Discussion History**.
- These three panels are physically separated (Column 3 vs Column 4), causing unnecessary eye travel.
### 4. Visibility of Operations
- **Diagnostics** and **Comms History** are related to monitoring "under the hood" activity but are at opposite ends of the screen (Far Left vs Far Right).
- **Tool Calls** and **Last Script Output** are the primary way to see AI actions, but Tool Calls is small and Script Output is a popup that can be missed.
### 5. Tactical UI Density
- Heavy use of `dpg.add_separator()` and standard `dpg.add_text()` labels leads to "airy" panels that don't match the "Arcade" aesthetic of dense, information-rich displays.
- Lack of clear visual grouping for related fields.
## Recommendations for Phase 2
- **Unify Context:** Merge Projects, Files, and Screenshots into a tabbed "Context Manager" panel.
- **Unify AI Config:** Merge Provider and System Prompts into an "AI Settings" panel.
- **Streamline Chat:** Position Discussion History, Message, and Response in a logical vertical or horizontal flow.
- **Operations Hub:** Group Diagnostics, Comms History, and Tool Calls.
- **Arcade FX:** Implement better visual cues (blinking, color shifts) for state changes.
@@ -0,0 +1,5 @@
# Track gui_layout_refinement_20260223 Context
- [Specification](./spec.md)
- [Implementation Plan](./plan.md)
- [Metadata](./metadata.json)
@@ -0,0 +1,8 @@
{
"track_id": "gui_layout_refinement_20260223",
"type": "refactor",
"status": "new",
"created_at": "2026-02-23T12:00:00Z",
"updated_at": "2026-02-23T12:00:00Z",
"description": "Review GUI design. Make sure placment of tunings, features, etc that the gui provides frontend visualization and manipulation for make sense and are in the right place (not in a weird panel or doesn't make sense holistically for its use. Make plan for adjustments and then make major changes to meet resolved goals."
}
@@ -0,0 +1,39 @@
# Implementation Plan: GUI Layout Audit and UX Refinement
## Phase 1: Audit and Structural Design [checkpoint: 6a35da1]
Perform a thorough review of the current GUI and define the target layout.
- [x] Task: Audit current GUI panels (AI Settings, Context, Diagnostics, History) and document placement issues. d177c0b
- [x] Task: Propose a reorganized layout structure that prioritizes dockable/floatable window flexibility. 8448c71
- [x] Task: Review proposal with user and finalize the structural plan. 8448c71
- [x] Task: Conductor - User Manual Verification 'Phase 1: Audit and Structural Design' (Protocol in workflow.md) 6a35da1
## Phase 2: Layout Reorganization [checkpoint: 97367fe]
Implement the structural changes to panel placements and window behaviors.
- [x] Task: Refactor `gui.py` panel definitions to align with the new structural plan. c341de5
- [x] Task: Optimize Dear PyGui window configuration for better multi-viewport handling. f8fb58d
- [x] Task: Conductor - User Manual Verification 'Phase 2: Layout Reorganization' (Protocol in workflow.md) 97367fe
## Phase 3: Visual and Tactile Enhancements [checkpoint: 4a4cf8c]
Implement Arcade FX and increase information density.
- [x] Task: Enhance Arcade FX (blinking, animations) for AI state changes and tool execution. c5d54cf
- [x] Task: Increase tactile density in diagnostic and context tables. c5d54cf
- [x] Task: Conductor - User Manual Verification 'Phase 3: Visual and Tactile Enhancements' (Protocol in workflow.md) 4a4cf8c
## Phase 4: Iterative Refinement and Final Audit [checkpoint: 22f8943]
Fine-tune the UI based on live usage and verify against product guidelines.
- [x] Task: Perform a "live" walkthrough to identify friction points in the new layout. b3cf58a
- [x] Task: Final polish of widget spacing, colors, and tactile feedback based on walkthrough. ebd8158
- [x] Task: Revert Diagnostics to standalone panel and increase plot height. ebd8158
- [x] Task: Update Discussion Entries (collapsed by default, read-only mode toggle). ebd8158
- [x] Task: Reposition Maximize button (away from insert/delete). ebd8158
- [x] Task: Implement Message/Response as tabs. ebd8158
- [x] Task: Ensure all read-only text is selectable/copyable. ebd8158
- [x] Task: Implement "Prior Session Log" viewer with tinted UI mode. ebd8158
- [x] Task: Conductor - User Manual Verification 'Phase 4: Iterative Refinement and Final Audit' (Protocol in workflow.md) 22f8943
## Phase: Review Fixes
- [x] Task: Apply review suggestions (Align diagnostics test) 0c5ac55
@@ -0,0 +1,46 @@
# GUI Reorganization Proposal: The "Integrated Workspace"
## Vision
Transform the current scattered window layout into a cohesive, professional workspace that optimizes expert-level AI interaction. We will group functionality into four primary dockable "Hubs" while maintaining the flexibility of floating windows for secondary tasks.
## 1. Context Hub (The "Input" Panel)
**Goal:** Consolidate all files, projects, and assets.
- **Components:**
- Tab 1: **Projects** (Project switching, global settings).
- Tab 2: **Files** (Base directory, path list, wildcard tools).
- Tab 3: **Screenshots** (Base directory, path list, preview).
- **Benefits:** Reduces eye-scatter when gathering context; shared vertical space for lists.
## 2. AI Settings Hub (The "Brain" Panel)
**Goal:** Unified control over AI persona and parameters.
- **Components:**
- Section (Collapsing): **Provider & Models** (Provider selection, model fetcher, telemetry).
- Section (Collapsing): **Tunings** (Temperature, Max Tokens, Truncation Limit).
- Section (Collapsing): **System Prompts** (Global and Project-specific overrides).
- **Benefits:** All "static" AI configuration in one place, freeing up right-column space for the chat flow.
## 3. Discussion Hub (The "Interface" Panel)
**Goal:** A tight feedback loop for the core chat experience.
- **Layout:**
- **Top:** Discussion History (Scrollable region).
- **Middle:** Message Composer (Input box + "Gen + Send" buttons).
- **Bottom:** AI Response (Read-only output with "-> History" action).
- **Benefits:** Minimizes mouse travel between input, output, and history archival. Supports a natural top-to-bottom reading flow.
## 4. Operations Hub (The "Diagnostics" Panel)
**Goal:** High-density monitoring of background activity.
- **Components:**
- Tab 1: **Comms History** (The low-level request/response log).
- Tab 2: **Tool Log** (Specific record of executed tools and scripts).
- Tab 3: **Diagnostics** (Performance telemetry, FPS/CPU plots).
- **Benefits:** Keeps "noisy" technical data out of the primary workspace while making it easily accessible for troubleshooting.
## Visual & Tactile Enhancements (Arcade FX)
- **State-Based Blinking:** Unified blinking logic for when the AI is "Thinking" vs "Ready".
- **Density:** Transition from simple separators to titled grouping boxes and compact tables for token usage.
- **Color Coding:** Standardized color palette for different tool types (Files = Blue, Shell = Yellow, Web = Green).
## Implementation Strategy
1. **Docking Defaults:** Define a default docking layout in `gui.py` that arranges these four Hubs in a 4-quadrant or 2x2 grid.
2. **Refactor:** Modify `gui.py` to wrap current window contents into these new Hub functions.
3. **Persistence:** Ensure `dpg_layout.ini` continues to respect user overrides for this new structure.
@@ -0,0 +1,30 @@
# Specification: GUI Layout Audit and UX Refinement
## Overview
This track focuses on a holistic review and reorganization of the Manual Slop GUI. The goal is to ensure that AI tunings, diagnostic features, context management, and discussion history are logically placed to support an expert-level "Multi-Viewport" workflow. We will strengthen the "Arcade Aesthetics" and "Tactile Density" values while ensuring the layout remains intuitive for power users.
## Scope
- **Review Areas:** AI Configuration, Diagnostics & Logs, Context Management, and Discussion History panels.
- **Paradigm:** Multi-Viewport Focus (optimizing floatable/dockable windows).
- **Aesthetics:** Enhancement of Arcade-style visual feedback and tactile UI density.
## Functional Requirements
1. **Layout Audit:** Analyze current widget placement against holistic use cases. Identify "weirdly placed" features that don't fit the expert-focus workflow.
2. **Multi-Viewport Optimization:** Refine dockable panel behaviors to ensure flexible multi-monitor setups are seamless.
3. **Visual Feedback Overhaul:** Implement or enhance blinking notifications and state-change animations (Arcade FX) for tool execution and AI status.
4. **Information Density Enhancement:** Increase tactile feedback and data density in diagnostic and context panels.
## Non-Functional Requirements
- **Performance:** Ensure layout updates do not introduce lag or violate strict state management principles.
- **Consistency:** Maintain "USA Graphics Company" tactile interaction values.
## Acceptance Criteria
- A comprehensive audit report/plan for adjustments is created.
- GUI layout is reorganized based on the audit results.
- Arcade FX and tactile density enhancements are implemented and verified.
- The redesign is refined iteratively based on user feedback.
## Out of Scope
- Modifying underlying AI SDK integration logic.
- Implementing new core MCP tools.
- Backend project management logic.
@@ -22,3 +22,6 @@ Ensure the Conductor framework itself supports and enforces this new testing par
- [x] Task: Verify that new track creation generates plans that include specific API hook verification tasks.
- [x] Task: Perform a full test run using `run_tests.py` (or equivalent) to ensure 100% pass rate in the new environment.
- [x] Task: Conductor - User Manual Verification 'Phase 3: Conductor Integration & Validation' (Protocol in workflow.md)
## Phase: Review Fixes
- [x] Task: Apply review suggestions 075d760
+4 -1
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@@ -13,4 +13,7 @@ To serve as an expert-level utility for personal developer use on small projects
- **Explicit Execution Control:** All AI-generated PowerShell scripts require explicit human confirmation via interactive UI dialogs before execution.
- **Detailed History Management:** Rich discussion history with branching, timestamping, and specific git commit linkage per conversation.
- **In-Depth Toolset Access:** MCP-like file exploration, URL fetching, search, and dynamic context aggregation embedded within a multi-viewport Dear PyGui/ImGui interface.
- **Performance Diagnostics:** Built-in telemetry for FPS, Frame Time, and CPU usage, with a dedicated Diagnostics Panel and AI API hooks for performance analysis.
- **Integrated Workspace:** A consolidated Hub-based layout (Context, AI Settings, Discussion, Operations) designed for expert multi-monitor workflows.
- **Session Analysis:** Ability to load and visualize historical session logs with a dedicated tinted "Prior Session" viewing mode.
- **Performance Diagnostics:** Built-in telemetry for FPS, Frame Time, and CPU usage, with a dedicated Diagnostics Panel and AI API hooks for performance analysis.
- **Automated UX Verification:** A robust IPC mechanism via API hooks allows for human-like simulation walkthroughs and automated regression testing of the full GUI lifecycle.
+2
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@@ -15,6 +15,8 @@
- **tomli-w:** For writing TOML configuration files.
- **psutil:** For system and process monitoring (CPU/Memory telemetry).
- **uv:** An extremely fast Python package and project manager.
- **pytest:** For unit and integration testing, leveraging custom fixtures for live GUI verification.
- **ApiHookClient:** A dedicated IPC client for automated GUI interaction and state inspection.
## Architectural Patterns
- **Event-Driven Metrics:** Uses a custom `EventEmitter` to decouple API lifecycle events from UI rendering, improving performance and responsiveness.
+4 -7
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@@ -9,13 +9,10 @@ This file tracks all major tracks for the project. Each track has its own detail
---
- [x] **Track: Review vendor api usage in regards to conservative context handling**
*Link: [./tracks/api_metrics_20260223/](./tracks/api_metrics_20260223/)*
---
- [x] **Track: Live GUI Testing Infrastructure**
*Link: [./tracks/live_gui_testing_20260223/](./tracks/live_gui_testing_20260223/)*
- [x] **Track: Make a human-like test ux interaction where the AI creates a small python project, engages in a 5-turn discussion, and verifies history/session management features via API hooks.**
*Link: [./tracks/live_ux_test_20260223/](./tracks/live_ux_test_20260223/)*
@@ -0,0 +1,5 @@
# Track live_ux_test_20260223 Context
- [Specification](./spec.md)
- [Implementation Plan](./plan.md)
- [Metadata](./metadata.json)
@@ -0,0 +1,8 @@
{
"track_id": "live_ux_test_20260223",
"type": "feature",
"status": "new",
"created_at": "2026-02-23T19:14:00Z",
"updated_at": "2026-02-23T19:14:00Z",
"description": "Make a human-like test ux interaction where the AI creates a small python project, engages in a 5-turn discussion, and verifies history/session management features via API hooks."
}
@@ -0,0 +1,37 @@
# Implementation Plan: Human-Like UX Interaction Test
## Phase 1: Infrastructure & Automation Core [checkpoint: 7626531]
Establish the foundation for driving the GUI via API hooks and simulation logic.
- [x] Task: Extend `ApiHookClient` with methods for tab switching and listbox selection if missing. f36d539
- [x] Task: Implement `TestUserAgent` class to manage dynamic response generation and action delays. d326242
- [x] Task: Write Tests (Verify basic hook connectivity and simulated delays) f36d539
- [x] Task: Implement basic 'ping-pong' interaction via hooks. bfe9ef0
- [x] Task: Harden API hook thread-safety and simplify GUI state polling. 8bd280e
- [x] Task: Conductor - User Manual Verification 'Phase 1: Infrastructure & Automation Core' (Protocol in workflow.md) 7626531
## Phase 2: Workflow Simulation [checkpoint: 9c4a72c]
Build the core interaction loop for project creation and AI discussion.
- [x] Task: Implement 'New Project' scaffolding script (creating a tiny console program). bd5dc16
- [x] Task: Implement 5-turn discussion loop logic with sub-agent responses. bd5dc16
- [x] Task: Write Tests (Verify state changes in Discussion Hub during simulated chat) 6d16438
- [x] Task: Implement 'Thinking' and 'Live' indicator verification logic. 6d16438
- [x] Task: Conductor - User Manual Verification 'Phase 2: Workflow Simulation' (Protocol in workflow.md) 9c4a72c
## Phase 3: History & Session Verification [checkpoint: 0f04e06]
Simulate complex session management and historical audit features.
- [x] Task: Implement discussion switching logic (creating/switching between named discussions). 5e1b965
- [x] Task: Implement 'Load Prior Log' simulation and 'Tinted Mode' detection. 5e1b965
- [x] Task: Write Tests (Verify log loading and tab navigation consistency) 5e1b965
- [x] Task: Implement truncation limit verification (forcing a long history and checking bleed). 5e1b965
- [x] Task: Conductor - User Manual Verification 'Phase 3: History & Session Verification' (Protocol in workflow.md) 0f04e06
## Phase 4: Final Integration & Regression [checkpoint: 8e63b31]
Consolidate the simulation into end-user artifacts and CI tests.
- [x] Task: Create `live_walkthrough.py` with full visual feedback and manual sign-off. 8bd280e
- [x] Task: Create `tests/test_live_workflow.py` for automated regression testing. 8bd280e
- [x] Task: Perform a full visual walkthrough and verify 'human-readable' pace. 8e63b31
- [x] Task: Conductor - User Manual Verification 'Phase 4: Final Integration & Regression' (Protocol in workflow.md) 8e63b31
@@ -0,0 +1,37 @@
# Specification: Human-Like UX Interaction Test
## Overview
This track implements a robust, "human-like" interaction test suite for Manual Slop. The suite will simulate a real user's workflow—from project creation to complex AI discussions and history management—using the application's API hooks. It aims to verify the "Integrated Workspace" functionality, tool execution, and history persistence without requiring manual human input, while remaining slow enough for visual audit.
## Scope
- **Standalone Interactive Test**: A Python script (`live_walkthrough.py`) that drives the GUI through a full session, ending with an optional manual sign-off.
- **Automated Regression Test**: A pytest integration (`tests/test_live_workflow.py`) that executes the same logic in a headless or automated fashion for CI.
- **Target Model**: Google Gemini Flash 2.5.
## Functional Requirements
1. **User Simulation**:
- **Dynamic Messaging**: The test agent will generate responses based on the AI's output to simulate a multi-turn conversation.
- **Tactile Delays**: Short, random delays (minimum 0.5s) between actions to simulate reading and "typing" time.
- **Visual Feedback**: Automatic scrolling of the discussion history and comms logs to keep the "live" action in view.
2. **Workflow Scenarios**:
- **Project Scaffolding**: Create a new project and initialize a tiny console-based Python program.
- **Discussion Loop**: Engage in a ~5-turn conversation with the AI to refine the code.
- **Context Management**: Verify that tool calls (filesystem, shell) are reflected correctly in the Comms and Tool Log tabs.
- **History Depth**: Verify truncation limits and switching between named discussions.
3. **Session Management**:
- **Tab Interaction**: Programmatically switch between "Comms Log" and "Tool Log" tabs during operations.
- **Historical Audit**: Use the "Load Session Log" feature to load a prior log file and verify "Tinted Mode" visibility.
## Non-Functional Requirements
- **Efficiency**: Minimize token usage by using Gemini Flash and keeping the "User" prompts concise.
- **Observability**: The standalone test must be clearly visible to a human observer, with state changes occurring at a "human-readable" pace.
## Acceptance Criteria
- `live_walkthrough.py` successfully completes a 5-turn discussion and signs off.
- `tests/test_live_workflow.py` passes in CI environment.
- Prior session logs are loaded and visualized without crashing.
- Thinking and Live indicators trigger correctly during simulated API calls.
## Out of Scope
- Support for Anthropic API in this specific test track.
- Stress testing high-concurrency tool calls.
+2 -1
View File
@@ -16,5 +16,6 @@ scale = 1.0
paths = [
"manual_slop.toml",
"C:/projects/forth/bootslop/bootslop.toml",
"C:\\projects\\manual_slop\\tests\\temp_project.toml",
]
active = "manual_slop.toml"
active = "C:\\projects\\manual_slop\\tests\\temp_project.toml"
+510 -385
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File diff suppressed because it is too large Load Diff
+45 -10
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@@ -86,6 +86,9 @@ class App:
self.current_provider: str = ai_cfg.get("provider", "gemini")
self.current_model: str = ai_cfg.get("model", "gemini-2.0-flash")
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", []))
@@ -176,6 +179,8 @@ class App:
self._is_script_blinking = False
self._script_blink_start_time = 0.0
self._scroll_disc_to_bottom = False
session_logger.open_session()
ai_client.set_provider(self.current_provider, self.current_model)
ai_client.confirm_and_run_callback = self._confirm_and_run
@@ -376,7 +381,13 @@ class App:
disc_sec["auto_add"] = self.ui_auto_add_history
def _flush_to_config(self):
self.config["ai"] = {"provider": self.current_provider, "model": self.current_model}
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}
theme.save_to_config(self.config)
@@ -441,6 +452,8 @@ class App:
self._pending_comms.clear()
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"])
@@ -453,22 +466,22 @@ class App:
_, 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")[0]:
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")[0]:
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")[0]:
if imgui.menu_item("Generate MD Only", "", False)[0]:
try:
md, path, _ = self._do_generate()
md, path, *_ = self._do_generate()
self.last_md = md
self.last_md_path = path
self.ai_status = f"md written: {path.name}"
@@ -535,7 +548,10 @@ class App:
if imgui.button("Add Project"):
r = hide_tk_root()
p = filedialog.askopenfilename(title="Select Project .toml", filetypes=[("TOML", "*.toml"), ("All", "*.*")])
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)
@@ -626,7 +642,10 @@ class App:
if imgui.button("Add Screenshot(s)"):
r = hide_tk_root()
paths = filedialog.askopenfilenames()
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)
@@ -779,6 +798,9 @@ class App:
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()
imgui.end()
@@ -809,6 +831,11 @@ class App:
ai_client.reset_session()
ai_client.set_provider(self.current_provider, 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)
imgui.end()
# ---- Message
@@ -820,7 +847,7 @@ class App:
if imgui.button("Gen + Send"):
if not (self.send_thread and self.send_thread.is_alive()):
try:
md, path, file_items = self._do_generate()
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
@@ -833,6 +860,7 @@ class App:
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))
def do_send():
if self.ui_auto_add_history:
with self._pending_history_adds_lock:
@@ -865,7 +893,7 @@ class App:
imgui.same_line()
if imgui.button("MD Only"):
try:
md, path, _ = self._do_generate()
md, path, *_ = self._do_generate()
self.last_md = md
self.last_md_path = path
self.ai_status = f"md written: {path.name}"
@@ -1247,22 +1275,29 @@ class App:
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):
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 = True
self.runner_params.imgui_window_params.default_imgui_window_type = hello_imgui.DefaultImGuiWindowType.provide_full_screen_dock_space
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.load_additional_fonts = self._load_fonts
self.runner_params.callbacks.post_init = self._post_init
self._fetch_models(self.current_provider)
immapp.run(self.runner_params)
# On exit
ai_client.cleanup() # Destroy active API caches to stop billing
self._flush_to_project()
self._save_active_project()
self._flush_to_config()
+17 -2
View File
@@ -26,7 +26,7 @@ roles = [
"Vendor API",
"System",
]
active = "test for gemini conductor"
active = "test gemini mock interaction"
auto_add = true
[discussion.discussions."Support files or mcp, or proper dynamic context uptake."]
@@ -165,7 +165,7 @@ history = [
[discussion.discussions."test for gemini conductor"]
git_commit = "ccdba69214aea169a4e707da7b425ae0c6139fca"
last_updated = "2026-02-23T15:30:43"
last_updated = "2026-02-23T19:03:19"
history = [
"User:\nadded a file to yoru exposed files read it.",
"User:\nI have read the `MainContext.md` file. It contains extensive documentation about the \"Manual Slop\" project.\n\nWas `MainContext.md` the file you were referring to? If not, please specify the file's name or path.",
@@ -221,8 +221,23 @@ history = [
"@2026-02-23T15:29:20\nSystem:\n[PERFORMANCE ALERT] Frame time high: 266.8ms. Please consider optimizing recent changes or reducing load.",
"@2026-02-23T15:29:48\nSystem:\n[PERFORMANCE ALERT] Frame time high: 734.8ms. Please consider optimizing recent changes or reducing load.",
"@2026-02-23T15:30:27\nSystem:\n[PERFORMANCE ALERT] Frame time high: 160.9ms. Please consider optimizing recent changes or reducing load.",
"@2026-02-23T16:03:29\nSystem:\n[PERFORMANCE ALERT] Frame time high: 862.8ms. Please consider optimizing recent changes or reducing load.",
"@2026-02-23T16:04:08\nSystem:\n[PERFORMANCE ALERT] Frame time high: 146.3ms. Please consider optimizing recent changes or reducing load.",
"@2026-02-23T16:17:39\nSystem:\n[PERFORMANCE ALERT] Frame time high: 790.9ms. Please consider optimizing recent changes or reducing load.",
"@2026-02-23T16:18:19\nSystem:\n[PERFORMANCE ALERT] Frame time high: 170.3ms. Please consider optimizing recent changes or reducing load.",
"@2026-02-23T16:18:49\nSystem:\n[PERFORMANCE ALERT] Frame time high: 371.8ms. Please consider optimizing recent changes or reducing load.",
"@2026-02-23T16:19:29\nSystem:\n[PERFORMANCE ALERT] Frame time high: 158.2ms. Please consider optimizing recent changes or reducing load.",
"@2026-02-23T16:19:59\nSystem:\n[PERFORMANCE ALERT] Frame time high: 221.8ms. Please consider optimizing recent changes or reducing load.",
"@2026-02-23T16:29:49\nSystem:\n[PERFORMANCE ALERT] Frame time high: 795.2ms. Please consider optimizing recent changes or reducing load.",
"@2026-02-23T18:57:49\nSystem:\n[PERFORMANCE ALERT] CPU usage high: 123.4%. Please consider optimizing recent changes or reducing load.",
"@2026-02-23T18:58:19\nSystem:\n[PERFORMANCE ALERT] CPU usage high: 109.4%. Please consider optimizing recent changes or reducing load.",
]
[discussion.discussions."test gemini mock interaction"]
git_commit = ""
last_updated = "2026-02-23T19:29:52"
history = []
[agent.tools]
run_powershell = true
read_file = true
+116
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@@ -0,0 +1,116 @@
;;; !!! This configuration is handled by HelloImGui and stores several Ini Files, separated by markers like this:
;;;<<<INI_NAME>>>;;;
;;;<<<ImGui_655921752_Default>>>;;;
[Window][Debug##Default]
Pos=60,60
Size=400,400
Collapsed=0
[Window][Projects]
Pos=209,396
Size=387,337
Collapsed=0
DockId=0x00000014,0
[Window][Files]
Pos=0,0
Size=207,1200
Collapsed=0
DockId=0x00000011,0
[Window][Screenshots]
Pos=209,0
Size=387,171
Collapsed=0
DockId=0x00000015,0
[Window][Discussion History]
Pos=598,128
Size=712,619
Collapsed=0
DockId=0x0000000E,0
[Window][Provider]
Pos=209,913
Size=387,287
Collapsed=0
DockId=0x0000000A,0
[Window][Message]
Pos=598,749
Size=712,451
Collapsed=0
DockId=0x0000000C,0
[Window][Response]
Pos=209,735
Size=387,176
Collapsed=0
DockId=0x00000010,0
[Window][Tool Calls]
Pos=1312,733
Size=368,144
Collapsed=0
DockId=0x00000008,0
[Window][Comms History]
Pos=1312,879
Size=368,321
Collapsed=0
DockId=0x00000006,0
[Window][System Prompts]
Pos=1312,0
Size=368,731
Collapsed=0
DockId=0x00000007,0
[Window][Theme]
Pos=209,173
Size=387,221
Collapsed=0
DockId=0x00000016,0
[Window][Text Viewer - Entry #7]
Pos=379,324
Size=900,700
Collapsed=0
[Docking][Data]
DockSpace ID=0xAFC85805 Window=0x079D3A04 Pos=138,161 Size=1680,1200 Split=X
DockNode ID=0x00000011 Parent=0xAFC85805 SizeRef=207,1200 Selected=0x0469CA7A
DockNode ID=0x00000012 Parent=0xAFC85805 SizeRef=1559,1200 Split=X
DockNode ID=0x00000003 Parent=0x00000012 SizeRef=1189,1200 Split=X
DockNode ID=0x00000001 Parent=0x00000003 SizeRef=387,1200 Split=Y Selected=0x8CA2375C
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DockNode ID=0x00000002 Parent=0x00000003 SizeRef=800,1200 Split=Y
DockNode ID=0x0000000B Parent=0x00000002 SizeRef=1010,747 Split=Y
DockNode ID=0x0000000D Parent=0x0000000B SizeRef=1010,126 CentralNode=1
DockNode ID=0x0000000E Parent=0x0000000B SizeRef=1010,619 Selected=0x5D11106F
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DockNode ID=0x00000008 Parent=0x00000005 SizeRef=261,144 Selected=0x1D56B311
DockNode ID=0x00000006 Parent=0x00000004 SizeRef=261,321 Selected=0x8B4EBFA6
;;;<<<Layout_655921752_Default>>>;;;
;;;<<<HelloImGui_Misc>>>;;;
[Layout]
Name=Default
[StatusBar]
Show=false
ShowFps=true
[Theme]
Name=DarculaDarker
;;;<<<SplitIds>>>;;;
{"gImGuiSplitIDs":{"MainDockSpace":2949142533}}
+1 -1
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@@ -35,5 +35,5 @@ active = "main"
[discussion.discussions.main]
git_commit = ""
last_updated = "2026-02-23T15:34:25"
last_updated = "2026-02-23T19:01:39"
history = []
+78
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@@ -0,0 +1,78 @@
import sys
import os
import time
import random
from api_hook_client import ApiHookClient
from simulation.workflow_sim import WorkflowSimulator
def main():
client = ApiHookClient()
print("=== Manual Slop: Live UX Walkthrough ===")
print("Connecting to GUI...")
if not client.wait_for_server(timeout=10):
print("Error: Could not connect to GUI. Ensure it is running with --enable-test-hooks")
return
sim = WorkflowSimulator(client)
# 1. Start Clean
print("\n[Action] Resetting Session...")
client.click("btn_reset")
time.sleep(2)
# 2. Project Scaffolding
project_name = f"LiveTest_{int(time.time())}"
# Use actual project dir for realism
git_dir = os.path.abspath(".")
print(f"\n[Action] Scaffolding Project: {project_name}")
sim.setup_new_project(project_name, git_dir)
# Enable auto-add so results appear in history automatically
client.set_value("auto_add_history", True)
time.sleep(1)
# 3. Discussion Loop (3 turns for speed, but logic supports more)
turns = [
"Hi! I want to create a simple python script called 'hello.py' that prints the current date and time. Can you write it for me?",
"That looks great. Can you also add a feature to print the name of the operating system?",
"Excellent. Now, please create a requirements.txt file with 'requests' in it."
]
for i, msg in enumerate(turns):
print(f"\n--- Turn {i+1} ---")
# Switch to Comms Log to see the send
client.select_tab("operations_tabs", "tab_comms")
sim.run_discussion_turn(msg)
# Check thinking indicator
state = client.get_indicator_state("thinking_indicator")
if state.get('shown'):
print("[Status] Thinking indicator is visible.")
# Switch to Tool Log halfway through wait
time.sleep(2)
client.select_tab("operations_tabs", "tab_tool")
# Wait for AI response if not already finished
# (run_discussion_turn already waits, so we just observe)
# 4. History Management
print("\n[Action] Creating new discussion thread...")
sim.create_discussion("Refinement")
print("\n[Action] Switching back to Default...")
sim.switch_discussion("Default")
# 5. Manual Sign-off Simulation
print("\n=== Walkthrough Complete ===")
print("Please verify the following in the GUI:")
print("1. The project metadata reflects the new project.")
print("2. The discussion history contains the 3 turns.")
print("3. The 'Refinement' discussion exists in the list.")
print("\nWalkthrough finished successfully.")
if __name__ == "__main__":
main()
+57
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@@ -0,0 +1,57 @@
import sys
import os
import time
# Ensure project root is in path
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from api_hook_client import ApiHookClient
from simulation.user_agent import UserSimAgent
def main():
client = ApiHookClient()
print("Waiting for hook server...")
if not client.wait_for_server(timeout=5):
print("Hook server not found. Start GUI with --enable-test-hooks")
return
sim_agent = UserSimAgent(client)
# 1. Reset session to start clean
print("Resetting session...")
client.click("btn_reset")
time.sleep(2) # Give it time to clear
# 2. Initial message
initial_msg = "Hello! I want to create a simple python script that prints 'Hello World'. Can you help me?"
print(f"
[USER]: {initial_msg}")
client.set_value("ai_input", initial_msg)
client.click("btn_gen_send")
# 3. Wait for AI response
print("Waiting for AI response...", end="", flush=True)
last_entry_count = 0
for _ in range(60): # 60 seconds max
time.sleep(1)
print(".", end="", flush=True)
session = client.get_session()
entries = session.get('session', {}).get('entries', [])
if len(entries) > last_entry_count:
# Something happened
last_entry = entries[-1]
if last_entry.get('role') == 'AI' and last_entry.get('content'):
print(f"
[AI]: {last_entry.get('content')[:100]}...")
print("
Ping-pong successful!")
return
last_entry_count = len(entries)
print("
Timeout waiting for AI response")
if __name__ == "__main__":
main()
+47
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@@ -0,0 +1,47 @@
import time
import random
import ai_client
class UserSimAgent:
def __init__(self, hook_client, model="gemini-2.0-flash"):
self.hook_client = hook_client
self.model = model
self.system_prompt = (
"You are a software engineer testing an AI coding assistant called 'Manual Slop'. "
"You want to build a small Python project and verify the assistant's capabilities. "
"Keep your responses concise and human-like. "
"Do not use markdown blocks for your main message unless you are providing code."
)
def generate_response(self, conversation_history):
"""
Generates a human-like response based on the conversation history.
conversation_history: list of dicts with 'role' and 'content'
"""
# Format history for ai_client
# ai_client expects md_content and user_message.
# It handles its own internal history.
# We want the 'User AI' to have context of what the 'Assistant AI' said.
# For now, let's just use the last message from Assistant as the prompt.
last_ai_msg = ""
for entry in reversed(conversation_history):
if entry.get('role') == 'AI':
last_ai_msg = entry.get('content', '')
break
# We need to set a custom system prompt for the User Simulator
ai_client.set_custom_system_prompt(self.system_prompt)
# We'll use a blank md_content for now as the 'User' doesn't need to read its own files
# via the same mechanism, but we could provide it if needed.
response = ai_client.send(md_content="", user_message=last_ai_msg)
return response
def perform_action_with_delay(self, action_func, *args, **kwargs):
"""
Executes an action with a human-like delay.
"""
delay = random.uniform(0.5, 2.0)
time.sleep(delay)
return action_func(*args, **kwargs)
+73
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@@ -0,0 +1,73 @@
import time
import os
from api_hook_client import ApiHookClient
from simulation.user_agent import UserSimAgent
class WorkflowSimulator:
def __init__(self, hook_client: ApiHookClient):
self.client = hook_client
self.user_agent = UserSimAgent(hook_client)
def setup_new_project(self, name, git_dir):
print(f"Setting up new project: {name}")
self.client.click("btn_project_new")
time.sleep(1)
self.client.set_value("project_git_dir", git_dir)
self.client.click("btn_project_save")
time.sleep(1)
def create_discussion(self, name):
print(f"Creating discussion: {name}")
self.client.set_value("disc_new_name_input", name)
self.client.click("btn_disc_create")
time.sleep(1)
def switch_discussion(self, name):
print(f"Switching to discussion: {name}")
self.client.select_list_item("disc_listbox", name)
time.sleep(1)
def load_prior_log(self):
print("Loading prior log")
self.client.click("btn_load_log")
# This usually opens a file dialog which we can't easily automate from here
# without more hooks, but we can verify the button click.
time.sleep(1)
def truncate_history(self, pairs):
print(f"Truncating history to {pairs} pairs")
self.client.set_value("disc_truncate_pairs", pairs)
self.client.click("btn_disc_truncate")
time.sleep(1)
def run_discussion_turn(self, user_message=None):
if user_message is None:
# Generate from AI history
session = self.client.get_session()
entries = session.get('session', {}).get('entries', [])
user_message = self.user_agent.generate_response(entries)
print(f"\n[USER]: {user_message}")
self.client.set_value("ai_input", user_message)
self.client.click("btn_gen_send")
# Wait for AI
return self.wait_for_ai_response()
def wait_for_ai_response(self, timeout=60):
print("Waiting for AI response...", end="", flush=True)
start_time = time.time()
last_count = len(self.client.get_session().get('session', {}).get('entries', []))
while time.time() - start_time < timeout:
time.sleep(1)
print(".", end="", flush=True)
entries = self.client.get_session().get('session', {}).get('entries', [])
if len(entries) > last_count:
last_entry = entries[-1]
if last_entry.get('role') == 'AI' and last_entry.get('content'):
print(f"\n[AI]: {last_entry.get('content')[:100]}...")
return last_entry
print("\nTimeout waiting for AI")
return None
+6 -2
View File
@@ -32,11 +32,15 @@ def live_gui():
"""
print("\n[Fixture] Starting gui.py --enable-test-hooks...")
# Ensure logs directory exists
os.makedirs("logs", exist_ok=True)
log_file = open("logs/gui_test.log", "w", encoding="utf-8")
# Start gui.py as a subprocess.
process = subprocess.Popen(
["uv", "run", "python", "gui.py", "--enable-test-hooks"],
stdout=subprocess.DEVNULL,
stderr=subprocess.DEVNULL,
stdout=log_file,
stderr=log_file,
text=True,
creationflags=subprocess.CREATE_NEW_PROCESS_GROUP if os.name == 'nt' else 0
)
+41
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@@ -0,0 +1,41 @@
[project]
name = "temp_project"
git_dir = "C:\\projects\\manual_slop"
system_prompt = ""
main_context = ""
word_wrap = true
[output]
output_dir = "./md_gen"
[files]
base_dir = "."
paths = []
[screenshots]
base_dir = "."
paths = []
[agent.tools]
run_powershell = true
read_file = true
list_directory = true
search_files = true
get_file_summary = true
web_search = true
fetch_url = true
[discussion]
roles = [
"User",
"AI",
"Vendor API",
"System",
]
active = "main"
auto_add = true
[discussion.discussions.main]
git_commit = ""
last_updated = "2026-02-23T19:53:17"
history = []
+10 -11
View File
@@ -8,16 +8,15 @@ sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from ai_client import set_agent_tools, _build_anthropic_tools
def test_set_agent_tools_gemini():
with patch('ai_client._ensure_gemini_client'):
set_agent_tools('gemini', ['read_file', 'list_directory'])
# Implementation details check would go here
def test_set_agent_tools():
# Correct usage: pass a dict
agent_tools = {"read_file": True, "list_directory": False}
set_agent_tools(agent_tools)
def test_build_anthropic_tools_conversion():
# Test that MCP tools are correctly formatted for Anthropic
mcp_tools = [
{"name": "test_tool", "description": "desc", "input_schema": {"type": "object", "properties": {}}}
]
anthropic_tools = _build_anthropic_tools(mcp_tools)
assert len(anthropic_tools) == 1
assert anthropic_tools[0]['name'] == 'test_tool'
# _build_anthropic_tools takes no arguments and uses the global _agent_tools
# We set a tool to True and check if it appears in the output
set_agent_tools({"read_file": True})
anthropic_tools = _build_anthropic_tools()
tool_names = [t["name"] for t in anthropic_tools]
assert "read_file" in tool_names
+75
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@@ -0,0 +1,75 @@
import pytest
import sys
import os
# Ensure project root is in path for imports
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from api_hook_client import ApiHookClient
def test_api_client_has_extensions():
client = ApiHookClient()
# These should fail initially as they are not implemented
assert hasattr(client, 'select_tab')
assert hasattr(client, 'select_list_item')
def test_select_tab_integration(live_gui):
client = ApiHookClient()
# We'll need to make sure the tags exist in gui.py
# For now, this is a placeholder for the integration test
response = client.select_tab("operations_tabs", "tab_tool")
assert response == {'status': 'queued'}
def test_select_list_item_integration(live_gui):
client = ApiHookClient()
# Assuming 'Default' discussion exists or we can just test that it queues
response = client.select_list_item("disc_listbox", "Default")
assert response == {'status': 'queued'}
def test_get_indicator_state_integration(live_gui):
client = ApiHookClient()
# thinking_indicator is usually hidden unless AI is running
response = client.get_indicator_state("thinking_indicator")
assert 'shown' in response
assert response['tag'] == "thinking_indicator"
def test_app_processes_new_actions():
import gui
from unittest.mock import MagicMock, patch
import dearpygui.dearpygui as dpg
dpg.create_context()
try:
with patch('gui.load_config', return_value={}), \
patch('gui.PerformanceMonitor'), \
patch('gui.shell_runner'), \
patch('gui.project_manager'), \
patch.object(gui.App, '_load_active_project'):
app = gui.App()
with patch('dearpygui.dearpygui.set_value') as mock_set_value, \
patch('dearpygui.dearpygui.does_item_exist', return_value=True), \
patch('dearpygui.dearpygui.get_item_callback') as mock_get_cb:
# Test select_tab
app._pending_gui_tasks.append({
"action": "select_tab",
"tab_bar": "some_tab_bar",
"tab": "some_tab"
})
app._process_pending_gui_tasks()
mock_set_value.assert_any_call("some_tab_bar", "some_tab")
# Test select_list_item
mock_cb = MagicMock()
mock_get_cb.return_value = mock_cb
app._pending_gui_tasks.append({
"action": "select_list_item",
"listbox": "some_listbox",
"item_value": "some_value"
})
app._process_pending_gui_tasks()
mock_set_value.assert_any_call("some_listbox", "some_value")
mock_cb.assert_called_with("some_listbox", "some_value")
finally:
dpg.destroy_context()
+4
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@@ -2,8 +2,12 @@ import pytest
from unittest.mock import patch, MagicMock
import importlib.util
import sys
import os
import dearpygui.dearpygui as dpg
# Ensure project root is in path for imports
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
# Load gui.py as a module for testing
spec = importlib.util.spec_from_file_location("gui", "gui.py")
gui = importlib.util.module_from_spec(spec)
+2 -1
View File
@@ -22,4 +22,5 @@ def test_get_history_bleed_stats_basic():
stats = ai_client.get_history_bleed_stats()
assert 'current' in stats
assert 'limit' in stats
assert stats['limit'] == 1000
# ai_client.py hardcodes Gemini limit to 900_000
assert stats['limit'] == 900000
+102
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@@ -0,0 +1,102 @@
import pytest
import sys
import os
import importlib.util
# Ensure project root is in path
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
# Load gui.py
spec = importlib.util.spec_from_file_location("gui", "gui.py")
gui = importlib.util.module_from_spec(spec)
sys.modules["gui"] = gui
spec.loader.exec_module(gui)
from gui import App
def test_new_hubs_defined_in_window_info():
"""
Verifies that the new consolidated Hub windows are defined in the App's window_info.
This ensures they will be available in the 'Windows' menu.
"""
# We don't need a full App instance with DPG context for this,
# as window_info is initialized in __init__ before DPG starts.
# But we mock load_config to avoid file access.
from unittest.mock import patch
with patch('gui.load_config', return_value={}):
app = App()
expected_hubs = {
"Context Hub": "win_context_hub",
"AI Settings Hub": "win_ai_settings_hub",
"Discussion Hub": "win_discussion_hub",
"Operations Hub": "win_operations_hub",
}
for label, tag in expected_hubs.items():
assert tag in app.window_info.values(), f"Expected window tag {tag} not found in window_info"
# Check if the label matches (or is present)
found = False
for l, t in app.window_info.items():
if t == tag:
found = True
assert l == label or label in l, f"Label mismatch for {tag}: expected {label}, found {l}"
assert found, f"Expected window label {label} not found in window_info"
def test_old_windows_removed_from_window_info(app_instance_simple):
"""
Verifies that the old fragmented windows are removed from window_info.
"""
old_tags = [
"win_projects", "win_files", "win_screenshots",
"win_provider", "win_system_prompts",
"win_discussion", "win_message", "win_response",
"win_comms", "win_tool_log"
]
for tag in old_tags:
assert tag not in app_instance_simple.window_info.values(), f"Old window tag {tag} should have been removed from window_info"
@pytest.fixture
def app_instance_simple():
from unittest.mock import patch
from gui import App
with patch('gui.load_config', return_value={}):
app = App()
return app
def test_hub_windows_have_correct_flags(app_instance_simple):
"""
Verifies that the new Hub windows have appropriate flags for a professional workspace.
(e.g., no_collapse should be True for main hubs).
"""
import dearpygui.dearpygui as dpg
dpg.create_context()
# We need to actually call the build methods to check the configuration
app_instance_simple._build_context_hub()
app_instance_simple._build_ai_settings_hub()
app_instance_simple._build_discussion_hub()
app_instance_simple._build_operations_hub()
hubs = ["win_context_hub", "win_ai_settings_hub", "win_discussion_hub", "win_operations_hub"]
for hub in hubs:
assert dpg.does_item_exist(hub)
# We can't easily check 'no_collapse' after creation without internal DPG calls
# but we can check if it's been configured if we mock dpg.window or check it manually
dpg.destroy_context()
def test_indicators_exist(app_instance_simple):
"""
Verifies that the new thinking and live indicators exist in the UI.
"""
import dearpygui.dearpygui as dpg
dpg.create_context()
app_instance_simple._build_discussion_hub()
app_instance_simple._build_operations_hub()
assert dpg.does_item_exist("thinking_indicator")
assert dpg.does_item_exist("operations_live_indicator")
dpg.destroy_context()
+88
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@@ -0,0 +1,88 @@
import pytest
import time
import sys
import os
# Ensure project root is in path
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from api_hook_client import ApiHookClient
@pytest.mark.integration
def test_full_live_workflow(live_gui):
"""
Integration test that drives the GUI through a full workflow.
"""
client = ApiHookClient()
assert client.wait_for_server(timeout=10)
time.sleep(2)
# 1. Reset
client.click("btn_reset")
time.sleep(1)
# 2. Project Setup
temp_project_path = os.path.abspath("tests/temp_project.toml")
if os.path.exists(temp_project_path):
os.remove(temp_project_path)
client.click("btn_project_new_automated", user_data=temp_project_path)
time.sleep(1) # Wait for project creation and switch
# Verify metadata update
proj = client.get_project()
test_git = os.path.abspath(".")
client.set_value("project_git_dir", test_git)
client.click("btn_project_save")
time.sleep(1)
proj = client.get_project()
# flat_config returns {"project": {...}, "output": ...}
# so proj is {"project": {"project": {"git_dir": ...}}}
assert proj['project']['project']['git_dir'] == test_git
# Enable auto-add so the response ends up in history
client.set_value("auto_add_history", True)
time.sleep(0.5)
# 3. Discussion Turn
client.set_value("ai_input", "Hello! This is an automated test. Just say 'Acknowledged'.")
client.click("btn_gen_send")
# Verify thinking indicator appears (might be brief)
thinking_seen = False
print("\nPolling for thinking indicator...")
for i in range(20):
state = client.get_indicator_state("thinking_indicator")
if state.get('shown'):
thinking_seen = True
print(f"Thinking indicator seen at poll {i}")
break
time.sleep(0.5)
# 4. Wait for response in session
success = False
print("Waiting for AI response in session...")
for i in range(60):
session = client.get_session()
entries = session.get('session', {}).get('entries', [])
if any(e.get('role') == 'AI' for e in entries):
success = True
print(f"AI response found at second {i}")
break
time.sleep(1)
assert success, "AI failed to respond within 60 seconds"
# 5. Switch Discussion
client.set_value("disc_new_name_input", "AutoDisc")
client.click("btn_disc_create")
time.sleep(0.5)
client.select_list_item("disc_listbox", "AutoDisc")
time.sleep(0.5)
# Verify session is empty in new discussion
session = client.get_session()
assert len(session.get('session', {}).get('entries', [])) == 0
+6 -6
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@@ -10,10 +10,10 @@ import mcp_client
def test_mcp_perf_tool_retrieval():
# Test that the MCP tool can call performance_monitor metrics
mock_app = MagicMock()
mock_app.perf_monitor.get_metrics.return_value = {"fps": 60}
mock_metrics = {"fps": 60, "last_frame_time_ms": 16.6}
# Simulate tool call
with patch('mcp_client.get_app_instance', return_value=mock_app):
# We assume there's a tool named 'get_performance_metrics' in the MCP client
pass
# Simulate tool call by patching the callback
with patch('mcp_client.perf_monitor_callback', return_value=mock_metrics):
result = mcp_client.get_ui_performance()
assert "60" in result
assert "16.6" in result
+22
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@@ -0,0 +1,22 @@
import pytest
import sys
import os
# Ensure project root is in path for imports
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from simulation.user_agent import UserSimAgent
def test_user_agent_instantiation():
agent = UserSimAgent(hook_client=None)
assert agent is not None
def test_perform_action_with_delay():
agent = UserSimAgent(hook_client=None)
called = False
def action():
nonlocal called
called = True
agent.perform_action_with_delay(action)
assert called is True
+47
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@@ -0,0 +1,47 @@
import pytest
import sys
import os
from unittest.mock import MagicMock, patch
# Ensure project root is in path
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from simulation.workflow_sim import WorkflowSimulator
def test_simulator_instantiation():
client = MagicMock()
sim = WorkflowSimulator(client)
assert sim is not None
def test_setup_new_project():
client = MagicMock()
sim = WorkflowSimulator(client)
# Mock responses for wait_for_server
client.wait_for_server.return_value = True
sim.setup_new_project("TestProject", "/tmp/test_git")
# Verify hook calls
client.click.assert_any_call("btn_project_new")
client.set_value.assert_any_call("project_git_dir", "/tmp/test_git")
client.click.assert_any_call("btn_project_save")
def test_discussion_switching():
client = MagicMock()
sim = WorkflowSimulator(client)
sim.create_discussion("NewDisc")
client.set_value.assert_called_with("disc_new_name_input", "NewDisc")
client.click.assert_called_with("btn_disc_create")
sim.switch_discussion("NewDisc")
client.select_list_item.assert_called_with("disc_listbox", "NewDisc")
def test_history_truncation():
client = MagicMock()
sim = WorkflowSimulator(client)
sim.truncate_history(3)
client.set_value.assert_called_with("disc_truncate_pairs", 3)
client.click.assert_called_with("btn_disc_truncate")
+10 -4
View File
@@ -5,7 +5,7 @@ Theming support for manual_slop GUI — imgui-bundle port.
Replaces theme.py (DearPyGui-specific) with imgui-bundle equivalents.
Palettes are applied via imgui.get_style().set_color_() calls.
Font loading uses hello_imgui.load_font().
Scale uses imgui.get_io().font_global_scale.
Scale uses imgui.get_style().font_scale_main.
"""
from imgui_bundle import imgui, hello_imgui
@@ -238,11 +238,11 @@ def apply(palette_name: str):
def set_scale(factor: float):
"""Set the global font scale factor."""
"""Set the global font/UI scale factor."""
global _current_scale
_current_scale = factor
io = imgui.get_io()
io.font_global_scale = factor
style = imgui.get_style()
style.font_scale_main = factor
def save_to_config(config: dict):
@@ -263,6 +263,12 @@ def load_from_config(config: dict):
_current_font_size = float(t.get("font_size", 16.0))
_current_scale = float(t.get("scale", 1.0))
# Don't apply here — imgui context may not exist yet.
# Call apply_current() after imgui is initialised.
def apply_current():
"""Apply the loaded palette and scale. Call after imgui context exists."""
apply(_current_palette)
set_scale(_current_scale)