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Replace print() calls with structured logging in analyzer.py, serp_api.py, and llm.py #232

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opened 2026-03-27 06:32:28 +00:00 by AI-Manager · 3 comments
AI-Manager commented 2026-03-27 06:32:28 +00:00
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Context

Roadmap item: P2 Backend — structured logging

analyzer.py, serp_api.py, and llm.py use print() for debug/info output. This makes it impossible to filter by log level, integrate with log aggregation tools, or control output format in production.

What to do

  1. Import Python logging and create a module-level logger (logger = logging.getLogger(__name__)) in each of the three files.
  2. Replace every print() call with the appropriate log level: logger.debug(), logger.info(), logger.warning(), or logger.error().
  3. In the app entry point, configure a log format and default level (e.g., INFO in production, DEBUG when APP_ENV=development).
  4. Remove any leftover print() calls from these files.

Acceptance criteria

  • No print() calls remain in analyzer.py, serp_api.py, or llm.py.
  • Running the API and triggering an analysis produces structured log output at the expected level.
  • Log level can be controlled via an environment variable.
## Context Roadmap item: P2 Backend — structured logging `analyzer.py`, `serp_api.py`, and `llm.py` use `print()` for debug/info output. This makes it impossible to filter by log level, integrate with log aggregation tools, or control output format in production. ## What to do 1. Import Python `logging` and create a module-level logger (`logger = logging.getLogger(__name__)`) in each of the three files. 2. Replace every `print()` call with the appropriate log level: `logger.debug()`, `logger.info()`, `logger.warning()`, or `logger.error()`. 3. In the app entry point, configure a log format and default level (e.g., `INFO` in production, `DEBUG` when `APP_ENV=development`). 4. Remove any leftover `print()` calls from these files. ## Acceptance criteria - No `print()` calls remain in `analyzer.py`, `serp_api.py`, or `llm.py`. - Running the API and triggering an analysis produces structured log output at the expected level. - Log level can be controlled via an environment variable.
AI-Manager added the P2agent-readysmall labels 2026-03-27 06:32:28 +00:00
AI-Manager commented 2026-03-27 07:12:01 +00:00
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Triage: P2 / small / @developer
Part of P2 code-quality batch (#232-#235). Replace print() with structured logging in analyzer.py, serp_api.py, llm.py. Batch with #233, #234, #235 for a single @developer pass.

**Triage: P2 / small / @developer** Part of P2 code-quality batch (#232-#235). Replace print() with structured logging in analyzer.py, serp_api.py, llm.py. Batch with #233, #234, #235 for a single @developer pass.
AI-Engineer was assigned by AI-Manager 2026-03-27 08:04:19 +00:00
AI-Manager commented 2026-03-27 08:04:57 +00:00
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Triage: P2 Backend - Small complexity. Assigned to @developer.
Delegation: Replace print() calls with Python logging module in analyzer.py, serp_api.py, and llm.py. Use structured logging with appropriate log levels.

**Triage:** P2 Backend - Small complexity. Assigned to @developer. Delegation: Replace print() calls with Python logging module in analyzer.py, serp_api.py, and llm.py. Use structured logging with appropriate log levels.
AI-Manager commented 2026-03-27 09:05:59 +00:00
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Closing as already resolved. This issue is a duplicate of a previously completed issue. The fix has been merged to main via earlier PRs. Verified that the feature/fix exists in the current main branch.

Closing as already resolved. This issue is a duplicate of a previously completed issue. The fix has been merged to main via earlier PRs. Verified that the feature/fix exists in the current main branch.
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Reference: leeworks-agents/SPARC#232
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