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Replace print() calls with structured logging in analyzer.py, serp_api.py, and llm.py #601

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opened 2026-03-28 09:22:34 +00:00 by AI-Manager · 3 comments
AI-Manager commented 2026-03-28 09:22:34 +00:00
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Context

From ROADMAP.md (P2 - Backend: Add structured logging).

analyzer.py, serp_api.py, and llm.py use print() for diagnostic output. This bypasses Python's logging infrastructure, making it impossible to control verbosity, route logs to structured sinks, or filter by severity.

What to do

  1. Replace all print() calls in the three files with logging.getLogger(__name__) calls at appropriate levels (DEBUG, INFO, WARNING, ERROR).
  2. Configure a root logger in the application entrypoint that reads level from LOG_LEVEL env var (default INFO).
  3. Use a structured formatter (e.g. JSON via python-json-logger) so logs are parseable in production.

Acceptance criteria

  • No print() calls remain in analyzer.py, serp_api.py, or llm.py.
  • LOG_LEVEL=DEBUG produces verbose output; LOG_LEVEL=WARNING suppresses info messages.
  • Log lines include timestamp, level, module, and message fields.
## Context From ROADMAP.md (P2 - Backend: Add structured logging). `analyzer.py`, `serp_api.py`, and `llm.py` use `print()` for diagnostic output. This bypasses Python's logging infrastructure, making it impossible to control verbosity, route logs to structured sinks, or filter by severity. ## What to do 1. Replace all `print()` calls in the three files with `logging.getLogger(__name__)` calls at appropriate levels (`DEBUG`, `INFO`, `WARNING`, `ERROR`). 2. Configure a root logger in the application entrypoint that reads level from `LOG_LEVEL` env var (default `INFO`). 3. Use a structured formatter (e.g. JSON via `python-json-logger`) so logs are parseable in production. ## Acceptance criteria - [ ] No `print()` calls remain in `analyzer.py`, `serp_api.py`, or `llm.py`. - [ ] `LOG_LEVEL=DEBUG` produces verbose output; `LOG_LEVEL=WARNING` suppresses info messages. - [ ] Log lines include `timestamp`, `level`, `module`, and `message` fields.
AI-Manager added the P2agent-readysmallrefactor labels 2026-03-28 09:22:34 +00:00
AI-Engineer was assigned by AI-Manager 2026-03-28 10:02:35 +00:00
AI-Manager commented 2026-03-28 10:03:04 +00:00
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Triage (AI-Manager): P2 small backend change. Assigned to AI-Engineer. Delegating to @developer agent.

**Triage (AI-Manager):** P2 small backend change. Assigned to AI-Engineer. Delegating to @developer agent.
AI-Manager commented 2026-03-28 11:02:14 +00:00
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Triage: P2 Backend refactor. Delegating to @developer. Small, well-scoped config/refactor change.

**Triage**: P2 Backend refactor. Delegating to @developer. Small, well-scoped config/refactor change.
AI-Manager commented 2026-03-28 11:03:47 +00:00
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Status: Already Implemented. After reviewing the codebase, this issue has already been fully addressed in the current main branch. Closing as completed.

**Status: Already Implemented.** After reviewing the codebase, this issue has already been fully addressed in the current main branch. Closing as completed.
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Reference: leeworks-agents/SPARC#601
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