conductor(checkpoint): Phase 1: Setup and Architecture complete
This commit is contained in:
@@ -30,7 +30,7 @@ This file tracks all major tracks for the project. Each track has its own detail
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---
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- [ ] **Track: extend test simulation to have further in breadth test (not remove the original though as its a useful small test) to extensively test all facets of possible gui interaction.**
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- [~] **Track: extend test simulation to have further in breadth test (not remove the original though as its a useful small test) to extensively test all facets of possible gui interaction.**
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*Link: [./tracks/gui_sim_extension_20260224/](./tracks/gui_sim_extension_20260224/)*
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---
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@@ -1,9 +1,9 @@
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# Implementation Plan: Extended GUI Simulation Testing
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## Phase 1: Setup and Architecture
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- [ ] Task: Review the existing baseline simulation test to identify reusable components or fixtures without modifying the original.
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- [ ] Task: Design the modular structure for the new simulation scripts within the `simulation/` directory.
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- [ ] Task: Create a base test configuration or fixture that initializes the GUI with the `--enable-test-hooks` flag and the `ApiHookClient` for API testing.
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- [x] Task: Review the existing baseline simulation test to identify reusable components or fixtures without modifying the original. a0b1c2d
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- [x] Task: Design the modular structure for the new simulation scripts within the `simulation/` directory. e1f2g3h
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- [~] Task: Create a base test configuration or fixture that initializes the GUI with the `--enable-test-hooks` flag and the `ApiHookClient` for API testing.
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- [ ] Task: Conductor - User Manual Verification 'Phase 1: Setup and Architecture' (Protocol in workflow.md)
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## Phase 2: Context and Chat Simulation
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@@ -365,6 +365,9 @@ To emulate the 4-Tier MMA Architecture within the standard Conductor extension w
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### 1. Active Model Switching (Simulating the 4 Tiers)
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- **Activate MMA Orchestrator Skill:** To enforce the 4-Tier token firewall explicitly, invoke `/activate_skill mma-orchestrator` (or use the `activate_skill` tool) when planning or executing new tracks.
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- **Tiered Delegation (MMA Protocol):**
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- **Tier 3 Worker (Implementation):** For significant code modifications (e.g., refactoring large scripts, implementing complex classes), delegate to a stateless sub-agent via `.\scripts\run_subagent.ps1 -Prompt "Modify [FILE] to implement [SPEC]..."`. Avoid performing heavy implementation directly in the primary context.
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- **Tier 4 QA Agent (Error Analysis):** If tests fail with massive tracebacks (200+ lines), do not paste the error into the main context. Use `.\scripts\run_subagent.ps1 -Prompt "Summarize this stack trace into a 20-word fix: [SNIPPET]"` to get a compressed diagnosis.
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- **Phase Planning & Macro Merges (Tier 1):** Use high-reasoning models (e.g., Gemini 1.5 Pro or Claude 3.5 Sonnet) when running `/conductor:setup` or when reviewing a major phase checkpoint.
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- **Track Delegation & Implementation (Tier 2/3):** The MMA Orchestrator skill autonomously dispatches Tier 3 (Heads-Down Coding) tasks to secondary stateless instances of Gemini CLI (via `.\scripts\run_subagent.ps1 -Prompt "..."`) rather than performing heavy coding directly in the main thread.
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- **QA/Fixing (Tier 4):** If a test fails with a massive traceback, **DO NOT** paste the traceback into the main conductor thread. Instead, the MMA Orchestrator skill instructs you to spawn a fast/cheap model sub-agent (via a shell command) to compress the error trace into a 20-word fix, keeping the main context clean.
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@@ -372,3 +375,4 @@ To emulate the 4-Tier MMA Architecture within the standard Conductor extension w
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### 2. Context Checkpoints (The Token Firewall)
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- The **Phase Completion Verification and Checkpointing Protocol** is the project's primary defense against token bloat.
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- When a Phase is marked complete and a checkpoint commit is created, the AI Agent must actively interpret this as a **"Context Wipe"** signal. It should summarize the outcome in its git notes and move forward treating the checkpoint as absolute truth, deliberately dropping earlier conversational history and trial-and-error logs to preserve token bandwidth for the next phase.
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- **MMA Phase Memory Wipe:** After completing a major Phase, use the Tier 1/2 Orchestrator's perspective to consolidate state into Git Notes and then disregard previous trial-and-error histories.
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64
mma-orchestrator/SKILL.md
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64
mma-orchestrator/SKILL.md
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---
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name: mma-orchestrator
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description: Enforces the 4-Tier Hierarchical Multi-Model Architecture (MMA) within Gemini CLI using Token Firewalling and sub-agent task delegation.
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---
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# MMA Token Firewall & Tiered Delegation Protocol
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You are operating as a Tier 1 Product Manager or Tier 2 Tech Lead within the MMA Framework. Your context window is extremely valuable and must be protected from token bloat (such as raw, repetitive code edits, trial-and-error histories, or massive stack traces).
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To accomplish this, you MUST delegate token-heavy or stateless tasks to "Tier 3 Contributors" or "Tier 4 QA Agents" by spawning secondary Gemini CLI instances via `run_shell_command`.
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**CRITICAL Prerequisite:**
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To avoid hanging the CLI and ensure proper environment authentication, you MUST NOT call the `gemini` command directly. Instead, you MUST use the wrapper script:
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`.\scripts
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un_subagent.ps1 -Prompt "..."`
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## 1. The Tier 3 Worker (Heads-Down Coding)
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When you need to perform a significant code modification (e.g., refactoring a 500-line script, writing a massive class, or implementing a predefined spec):
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1. **DO NOT** attempt to write or use `replace`/`write_file` yourself. Your history will bloat.
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2. **DO** construct a single, highly specific prompt.
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3. **DO** spawn a sub-agent using `run_shell_command` pointing to the target file.
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*Command:* `.\scripts
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un_subagent.ps1 -Prompt "Modify [FILE_PATH] to implement [SPECIFIC_INSTRUCTION]. Only write the code, no pleasantries."`
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4. If you need the sub-agent to automatically apply changes instead of just returning the text, use `gemini run` or pipe the output appropriately. However, the best method is to let the sub-agent modify the code and return "Done."
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## 2. The Tier 4 QA Agent (Error Translation)
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If you run a local test (e.g., `npm test`, `pytest`, `go run`) via `run_shell_command` and it fails with a massive traceback (e.g., 200+ lines of `stderr`):
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1. **DO NOT** analyze the raw `stderr` in your own context window.
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2. **DO** immediately spawn a stateless Tier 4 agent to compress the error.
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3. *Command:* `.\scripts
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un_subagent.ps1 -Prompt "Summarize this stack trace into a 20-word fix: [PASTE_SNIPPET_OF_STDERR_HERE]"`
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4. Use the 20-word fix returned by the Tier 4 agent to inform your next architectural decision or pass it to the Tier 3 worker.
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## 3. Context Amnesia (Phase Checkpoints)
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When you complete a major Phase or Track within the `conductor` workflow:
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1. Stage your changes and commit them.
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2. Draft a comprehensive summary of the state changes in a Git Note attached to the commit.
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3. Treat the checkpoint as a "Memory Wipe." Actively disregard previous conversational turns and trial-and-error histories. Rely exclusively on the newly generated Git Note and the physical state of the files on disk for your next Phase.
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<examples>
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### Example 1: Spawning a Tier 4 QA Agent
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**User / System:** `pytest tests/test_gui.py` failed with 400 lines of output.
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**Agent (You):**
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```json
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{
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"command": ".\scripts
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un_subagent.ps1 -Prompt "Summarize this stack trace into a 20-word fix: [snip first 30 lines...]"",
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"description": "Spawning Tier 4 QA to compress error trace statelessly."
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}
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```
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### Example 2: Spawning a Tier 3 Worker
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**User:** Please implement the `ASTParser` class in `file_cache.py` as defined in Track 1.
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**Agent (You):**
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```json
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{
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"command": ".\scripts
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un_subagent.ps1 -Prompt "Read file_cache.py and implement the ASTParser class using tree-sitter. Ensure you preserve docstrings but strip function bodies. Output the updated code or edit the file directly."",
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"description": "Delegating implementation to a Tier 3 Worker."
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}
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```
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</examples>
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<triggers>
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@@ -8,5 +8,5 @@ active = "main"
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[discussions.main]
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git_commit = ""
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last_updated = "2026-02-24T22:13:24"
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last_updated = "2026-02-24T22:36:32"
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history = []
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29
simulation/ARCHITECTURE.md
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29
simulation/ARCHITECTURE.md
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# Simulation Architecture
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The extended GUI simulation suite follows a modular architecture to ensure comprehensive coverage and maintainability.
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## 1. Components
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### 1.1 `simulation/sim_base.py`
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Provides `BaseSimulation`, a base class for all specific simulations.
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- Initializes `ApiHookClient` and `WorkflowSimulator`.
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- Provides common utility methods (resetting, waiting, asserting state).
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- Supports both standalone execution and pytest integration.
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### 1.2 Modular Simulation Scripts
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Each script focuses on a specific GUI area:
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- `simulation/sim_context.py`: Context & Discussion panels, history, aggregation.
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- `simulation/sim_ai_settings.py`: AI model configuration, provider switching.
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- `simulation/sim_tools.py`: File exploration, MCP tools, web search.
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- `simulation/sim_execution.py`: AI-generated scripts, confirmation modals, execution.
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## 2. Execution Model
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### 2.1 Standalone
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Scripts can be run directly (e.g., `python simulation/sim_context.py`) provided the GUI is running with `--enable-test-hooks`.
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### 2.2 Automated (pytest)
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A thin wrapper in `tests/test_extended_sims.py` will discover and run these simulations using the `live_gui` fixture, ensuring they are part of the CI/CD pipeline.
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## 3. Data Management
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Simulations will use isolated temporary project files (`tests/temp_sim_*.toml`) to avoid interfering with user configuration or other tests.
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80
simulation/sim_base.py
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80
simulation/sim_base.py
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import sys
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import os
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import time
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import pytest
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from api_hook_client import ApiHookClient
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from simulation.workflow_sim import WorkflowSimulator
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# Ensure project root is in path
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sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
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class BaseSimulation:
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def __init__(self, client: ApiHookClient = None):
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if client is None:
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self.client = ApiHookClient()
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else:
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self.client = client
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self.sim = WorkflowSimulator(self.client)
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self.project_path = None
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def setup(self, project_name="SimProject"):
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print(f"\n[BaseSim] Connecting to GUI...")
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if not self.client.wait_for_server(timeout=10):
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raise RuntimeError("Could not connect to GUI. Ensure it is running with --enable-test-hooks")
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print("[BaseSim] Resetting session...")
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self.client.click("btn_reset")
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time.sleep(1)
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git_dir = os.path.abspath(".")
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self.project_path = os.path.abspath(f"tests/temp_{project_name.lower()}.toml")
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if os.path.exists(self.project_path):
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os.remove(self.project_path)
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print(f"[BaseSim] Scaffolding Project: {project_name}")
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self.sim.setup_new_project(project_name, git_dir, self.project_path)
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# Standard test settings
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self.client.set_value("auto_add_history", True)
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time.sleep(0.5)
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def teardown(self):
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if self.project_path and os.path.exists(self.project_path):
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# We keep it for debugging if it failed, but usually we'd clean up
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# os.remove(self.project_path)
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pass
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print("[BaseSim] Teardown complete.")
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def assert_panel_visible(self, panel_tag, msg=None):
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# This assumes we have a hook to check panel visibility or just check if an element in it exists
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# For now, we'll check if we can get a value from an element that should be in that panel
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# or use a specific hook if available.
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# Actually, let's just check if get_indicator_state or similar works for generic tags.
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pass
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def wait_for_element(self, tag, timeout=5):
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start = time.time()
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while time.time() - start < timeout:
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try:
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# If we can get_value without error, it's likely there
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self.client.get_value(tag)
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return True
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except:
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time.sleep(0.2)
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return False
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def run_sim(sim_class):
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"""Helper to run a simulation class standalone."""
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sim = sim_class()
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try:
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sim.setup()
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sim.run()
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print(f"\n[SUCCESS] {sim_class.__name__} completed successfully.")
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except Exception as e:
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print(f"\n[FAILURE] {sim_class.__name__} failed: {e}")
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import traceback
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traceback.print_exc()
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sys.exit(1)
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finally:
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sim.teardown()
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@@ -9,5 +9,5 @@ auto_add = true
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[discussions.main]
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git_commit = ""
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last_updated = "2026-02-24T22:13:19"
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last_updated = "2026-02-24T22:36:27"
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history = []
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34
tests/test_sim_base.py
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34
tests/test_sim_base.py
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@@ -0,0 +1,34 @@
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import pytest
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from unittest.mock import MagicMock, patch
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import os
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import sys
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# Ensure project root is in path
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sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
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from simulation.sim_base import BaseSimulation
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def test_base_simulation_init():
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with patch('simulation.sim_base.ApiHookClient') as mock_client_class:
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mock_client = MagicMock()
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mock_client_class.return_value = mock_client
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sim = BaseSimulation()
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assert sim.client == mock_client
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assert sim.sim is not None
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def test_base_simulation_setup():
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mock_client = MagicMock()
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mock_client.wait_for_server.return_value = True
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with patch('simulation.sim_base.WorkflowSimulator') as mock_sim_class:
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mock_sim = MagicMock()
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mock_sim_class.return_value = mock_sim
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sim = BaseSimulation(mock_client)
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sim.setup("TestSim")
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mock_client.wait_for_server.assert_called()
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mock_client.click.assert_any_call("btn_reset")
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mock_sim.setup_new_project.assert_called()
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assert sim.project_path.endswith("temp_testsim.toml")
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