4 tests verify: epic prompt -> Track JSON, sprint prompt -> Ticket JSON with correct field names, worker prompt -> plain text, tool-result -> plain text. All pass in 0.57s. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
21 lines
1.7 KiB
TOML
21 lines
1.7 KiB
TOML
role = "tier3-worker"
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docs = ["conductor/workflow.md", "tests/mock_gemini_cli.py"]
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prompt = """
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Create tests/test_mock_gemini_cli.py — a standalone pytest test file that invokes tests/mock_gemini_cli.py via subprocess.run() and verifies its routing logic.
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TEST CASES (4 functions):
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1. test_epic_prompt_returns_track_json — send a prompt containing 'PATH: Epic Initialization' via stdin. Assert: stdout contains valid JSON list, each item has 'id' and 'title', no 'function_call' substring anywhere in stdout.
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2. test_sprint_prompt_returns_ticket_json — send 'Please generate the implementation tickets for this track.' via stdin. Assert: stdout contains valid JSON list, each item has 'id', 'description', 'status', 'assigned_to'. No 'function_call' in stdout.
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3. test_worker_prompt_returns_plain_text — send 'You are assigned to Ticket T1.\nTask Description: do something' via stdin. Assert: stdout is non-empty, no 'function_call' in stdout.
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4. test_tool_result_prompt_returns_plain_text — send a prompt containing the substring 'role": "tool' via stdin. Assert: returncode == 0 and stdout is non-empty.
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IMPLEMENTATION DETAILS:
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- Use subprocess.run(['uv', 'run', 'python', 'tests/mock_gemini_cli.py'], input=prompt, capture_output=True, text=True, cwd='.')
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- Helper function get_message_content(stdout): split stdout by newlines, parse each line as JSON, find the dict with type=='message', return its 'content' field. Return '' if not found.
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- For JSON assertion tests: call get_message_content, then json.loads() the content, assert isinstance(result, list), assert len(result) > 0.
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- Each test asserts returncode == 0.
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- Imports: import subprocess, json, pytest
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- Use exactly 1-space indentation for Python code.
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- Create the file tests/test_mock_gemini_cli.py.
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"""
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