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fix: replace print() with logging across harness package (#1282)
Replace all bare print() calls with proper logging using Python's standard logging module across the deerflow harness package. Changes across 8 files (16 print statements replaced): - agents/middlewares/clarification_middleware.py: use logger.info/debug - agents/middlewares/memory_middleware.py: use logger.debug - agents/middlewares/thread_data_middleware.py: use logger.debug - agents/middlewares/view_image_middleware.py: use logger.debug - agents/memory/queue.py: use logger.info/debug/warning/error - agents/lead_agent/prompt.py: use logger.error - skills/loader.py: use logger.warning - skills/parser.py: use logger.error Each file follows the established codebase convention: import logging logger = logging.getLogger(__name__) Log levels chosen based on message semantics: - debug: routine operational details (directory creation, timer resets) - info: significant state changes (memory queued, updates processed) - warning: recoverable issues (config load failures, skipped updates) - error: unexpected failures (parsing errors, memory update errors) Note: client.py is intentionally excluded as it uses print() for CLI output, which is the correct behavior for a command-line client. Co-authored-by: moose-lab <moose-lab@users.noreply.github.com>
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@@ -1,5 +1,6 @@
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"""Middleware for injecting image details into conversation before LLM call."""
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import logging
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from typing import NotRequired, override
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from langchain.agents import AgentState
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@@ -9,6 +10,8 @@ from langgraph.runtime import Runtime
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from deerflow.agents.thread_state import ViewedImageData
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logger = logging.getLogger(__name__)
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class ViewImageMiddlewareState(AgentState):
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"""Compatible with the `ThreadState` schema."""
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@@ -182,7 +185,7 @@ class ViewImageMiddleware(AgentMiddleware[ViewImageMiddlewareState]):
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# Create a new human message with mixed content (text + images)
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human_msg = HumanMessage(content=image_content)
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print("[ViewImageMiddleware] Injecting image details message with images before LLM call")
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logger.debug("Injecting image details message with images before LLM call")
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# Return state update with the new message
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return {"messages": [human_msg]}
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