Ed_
d1ce0eaaeb
- Add cost tracking with new cost_tracker.py module - Enhance Track Proposal modal with editable titles and goals - Add Conductor Setup summary and New Track creation form to MMA Dashboard - Implement Task DAG editing (add/delete tickets) and track-scoped discussion - Add visual polish: color-coded statuses, tinted progress bars, and node indicators - Support live worker streaming from AI providers to GUI panels - Fix numerous integration test regressions and stabilize headless service
98 lines
3.4 KiB
Python
98 lines
3.4 KiB
Python
import sys
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import json
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import subprocess
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import os
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def main() -> None:
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sys.stderr.write(f"DEBUG: mock_gemini_cli called with args: {sys.argv}\n")
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sys.stderr.write(f"DEBUG: GEMINI_CLI_HOOK_CONTEXT: {os.environ.get('GEMINI_CLI_HOOK_CONTEXT')}\n")
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# Read prompt from stdin
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try:
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prompt = sys.stdin.read()
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except EOFError:
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prompt = ""
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sys.stderr.write(f"DEBUG: Received prompt via stdin ({len(prompt)} chars)\n")
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sys.stderr.flush()
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# Skip management commands
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if len(sys.argv) > 1 and sys.argv[1] in ["mcp", "extensions", "skills", "hooks"]:
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return
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# Check for specific simulation contexts
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# Use the full prompt string since context length can vary depending on history or project state
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if 'You are assigned to Ticket' in prompt:
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# This is a Tier 3 worker.
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pass # Let it fall through to the default mock response
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elif 'PATH: Epic Initialization' in prompt:
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mock_response = [
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{"id": "mock-track-1", "type": "Track", "module": "core", "persona": "Tech Lead", "severity": "Medium", "goal": "Mock Goal 1", "acceptance_criteria": ["criteria 1"], "title": "Mock Goal 1"},
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{"id": "mock-track-2", "type": "Track", "module": "ui", "persona": "Frontend Lead", "severity": "Low", "goal": "Mock Goal 2", "acceptance_criteria": ["criteria 2"], "title": "Mock Goal 2"}
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]
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print(json.dumps({
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"type": "message",
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"role": "assistant",
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"content": json.dumps(mock_response)
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}), flush=True)
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print(json.dumps({
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"type": "result",
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"status": "success",
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"stats": {"total_tokens": 100, "input_tokens": 50, "output_tokens": 50},
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"session_id": "mock-session-epic"
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}), flush=True)
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return
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elif 'PATH: Sprint Planning' in prompt or 'generate the implementation tickets' in prompt:
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mock_response = [
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{"id": "mock-ticket-1", "description": "Mock Ticket 1", "status": "todo", "assigned_to": "worker", "depends_on": []},
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{"id": "mock-ticket-2", "description": "Mock Ticket 2", "status": "todo", "assigned_to": "worker", "depends_on": ["mock-ticket-1"]}
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]
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print(json.dumps({
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"type": "message",
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"role": "assistant",
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"content": json.dumps(mock_response)
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}), flush=True)
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print(json.dumps({
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"type": "result",
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"status": "success",
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"stats": {"total_tokens": 100, "input_tokens": 50, "output_tokens": 50},
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"session_id": "mock-session-sprint"
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}), flush=True)
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return
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# If the prompt contains tool results, provide final answer
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if '"role": "tool"' in prompt or '"tool_call_id"' in prompt:
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print(json.dumps({
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"type": "message",
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"role": "assistant",
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"content": "I have processed the tool results and here is the final answer."
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}), flush=True)
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print(json.dumps({
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"type": "result",
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"status": "success",
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"stats": {"total_tokens": 100, "input_tokens": 80, "output_tokens": 20},
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"session_id": "mock-session-final"
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}), flush=True)
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return
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# Default flow: emit a tool call to test multi-round looping
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print(json.dumps({
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"type": "message",
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"role": "assistant",
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"content": "I need to check the directory first."
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}), flush=True)
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print(json.dumps({
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"type": "tool_use",
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"name": "list_directory",
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"id": "mock-call-1",
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"args": {"dir_path": "."}
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}), flush=True)
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print(json.dumps({
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"type": "result",
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"status": "success",
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"stats": {"total_tokens": 10, "input_tokens": 10, "output_tokens": 0},
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"session_id": "mock-session-default"
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}), flush=True)
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if __name__ == "__main__":
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main()
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