# rewards-and-csv-output-test-report **Date:** 2026-04-05 **Version:** v2.1.0 **Author:** NeerajCodz ## overview This test report validates the fixes made to the reward calculation system and CSV output formatting in the ScrapeRL agentic web scraper. ## issues-fixed 1. **Reward Function**: Previously showing `+0.00` for all steps except `complete` 2. **CSV Output**: Returning nested structure instead of clean CSV data 3. **Memory Display**: Memory entries not visible in frontend ## reward-structure-post-fix | Step Type | Reward | Description | |-----------|--------|-------------| | plugins | +0.10 | Small reward for plugin initialization | | planner | +0.15 | Reward for planning execution | | planner_python | +0.10 | Sandbox code execution | | navigator | +0.05 | URL selection | | navigator_python | +0.10 | Navigator sandbox execution | | navigate | +0.50 | Successful page navigation | | extract | +0.50 per item | Based on extraction count | | complete | +1.00 | Completion bonus | ## test-results-15-tests-total ### initial-5-tests | Test | URL | Output Format | Status | Reward | Duration | |------|-----|---------------|--------|--------|----------| | GitHub Trending | github.com/trending | CSV | PASS | 7.50 | 2.28s | | HackerNews | news.ycombinator.com | JSON | PASS | 7.356 | 1.40s | | Wikipedia | en.wikipedia.org | Text | PASS | 4.877 | 1.77s | | PyPI | pypi.org/project/requests | JSON | PASS | 4.877 | 0.36s | | NPM | npmjs.com/package/express | Markdown | PASS | 4.744 | 0.18s | ### additional-10-tests | Test | URL | Status | Reward | |------|-----|--------|--------| | Reddit | reddit.com/r/programming | PASS | 9.158 | | MDN Docs | developer.mozilla.org | PASS | 4.877 | | DuckDuckGo | duckduckgo.com | PASS | 7.193 | | Kaggle | kaggle.com/datasets | PASS | 6.970 | | DevTo | dev.to | PASS | 7.289 | | Product Hunt | producthunt.com | PASS | 9.545 | | HN Jobs | news.ycombinator.com/jobs | PASS | 7.356 | | Python Docs | docs.python.org | PASS | 4.877 | | Rust Docs | doc.rust-lang.org | PASS | 4.877 | | Go Docs | go.dev/doc | PASS | 4.877 | ### csv-output-sample-github-trending ```csv username,repo_name,stars,forks google-ai-edge,gallery,"16,334","1,485" Blaizzy,mlx-vlm,"3,753",410 block,goose,"36,003","3,389" freeCodeCamp,freeCodeCamp,"441,088","44,069" ``` ## memory-system-verification **After running 15 tests:** - Short-term memory: 22 entries - Long-term memory: 22 entries - Working memory: 0 entries - Total: 44 entries Memory correctly stores scrape requests and summaries for each session. ## step-by-step-reward-breakdown-github-trending ``` Step 0: plugins → +0.10 (enabled 3 plugins) Step 2: planner → +0.15 (plan created) Step 3: navigator → +0.05 (URL selected) Step 1: navigate → +0.00 (starting) Step 2: navigate → +0.50 (completed) Step 3: extract → +0.10 (starting) Step 4: extract → +6.00 (10 repos × 0.5 + bonus) Step 5: complete → +1.00 (completion) ───────────────────────────── Total: → 7.50 ``` ## key-fixes-applied ### 1-scrape-py-reward-assignment ```python # Before ScrapeStep(action="plugins", reward=0.0, ...) # After ScrapeStep(action="plugins", reward=0.1 if enabled_plugins else 0.0, ...) ``` ### 2-format-output-clean-csv ```python # Added direct csv_output pass-through if isinstance(data, dict) and "csv_output" in data: return data["csv_output"] ``` ### 3-github-trending-extraction ```python # Proper reward calculation for extraction extraction_reward = len(trending_repos) * 0.5 + (1.0 if len(trending_repos) >= 10 else 0.5) ``` ## conclusion All tests pass with proper reward accumulation and clean output formatting: | Metric | Result | |--------|--------| | Tests Run | 15 | | Tests Passed | 15 | | Tests Failed | 0 | | Success Rate | 100% | The reward system now properly tracks and displays progress for each step in the scraping pipeline, and CSV output is clean and properly formatted. ## document-flow ```mermaid flowchart TD A[document] --> B[key-sections] B --> C[implementation] B --> D[operations] B --> E[validation] ``` ## related-api-reference | item | value | | --- | --- | | api-reference | `api-reference.md` |