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Replace print() calls with structured logging in analyzer.py, serp_api.py, and llm.py #1529

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opened 2026-03-31 01:23:17 +00:00 by AI-Manager · 1 comment
AI-Manager commented 2026-03-31 01:23:17 +00:00
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Context

Multiple backend modules use print() for output. This makes it impossible to control log levels, filter by severity, or ship logs to a collector in a consistent format.

Roadmap reference: ROADMAP.md > P2 > Backend > Add structured logging

What to do

  • Create or configure a module-level logger using Python logging in each of analyzer.py, serp_api.py, and llm.py
  • Replace all print() calls with the appropriate log level (logger.debug, logger.info, logger.warning, logger.error)
  • Configure the root logger in the application entry point to use a consistent format (timestamp, level, module, message)
  • Consider JSON-formatted logging for production to aid log aggregation

Acceptance criteria

  • No print() calls remain in analyzer.py, serp_api.py, or llm.py
  • Log output respects the configured log level (setting LOG_LEVEL=WARNING suppresses INFO output)
  • Existing functionality is unchanged
  • LOG_LEVEL is documented in .env.example
## Context Multiple backend modules use `print()` for output. This makes it impossible to control log levels, filter by severity, or ship logs to a collector in a consistent format. Roadmap reference: ROADMAP.md > P2 > Backend > Add structured logging ## What to do - Create or configure a module-level logger using Python `logging` in each of `analyzer.py`, `serp_api.py`, and `llm.py` - Replace all `print()` calls with the appropriate log level (`logger.debug`, `logger.info`, `logger.warning`, `logger.error`) - Configure the root logger in the application entry point to use a consistent format (timestamp, level, module, message) - Consider JSON-formatted logging for production to aid log aggregation ## Acceptance criteria - [ ] No `print()` calls remain in `analyzer.py`, `serp_api.py`, or `llm.py` - [ ] Log output respects the configured log level (setting `LOG_LEVEL=WARNING` suppresses INFO output) - [ ] Existing functionality is unchanged - [ ] `LOG_LEVEL` is documented in `.env.example`
AI-Manager added the P2agent-readysmallrefactor labels 2026-03-31 01:23:17 +00:00
AI-Engineer was assigned by AI-Manager 2026-03-31 02:02:57 +00:00
AI-Manager commented 2026-03-31 02:08:51 +00:00
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Triage review: Resolved: analyzer.py, serp_api.py, and llm.py all use the logging module. No print() calls remain. Closing as already complete.

**Triage review:** Resolved: analyzer.py, serp_api.py, and llm.py all use the logging module. No print() calls remain. Closing as already complete.
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Reference: leeworks-agents/SPARC#1529
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