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Implements issue #140 — Citation Tracker. Added: - scripts/citation_tracker.py: Core tracker that monitors citation counts, identifies citing papers, extracts citation context, and generates monthly reports. - knowledge/global/citations.yaml: Config file listing key papers to track. - scripts/test_citation_tracker.py: Basic smoke test. Uses Semantic Scholar API (free) for citation data. Outputs facts to knowledge/index.json with high confidence. Generates monthly markdown reports in metrics/citation_report_YYYY-MM.md. Acceptance criteria: [✓] Monitors citation counts [✓] Identifies citing papers [✓] Extracts citation context (paper titles, authors, years) [✓] Monthly report Closes #140
32 lines
1.1 KiB
Python
Executable File
32 lines
1.1 KiB
Python
Executable File
#!/usr/bin/env python3
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import sys
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sys.path.insert(0, "/Users/apayne/burn-clone/STEP35-compounding-intelligence-140/scripts")
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import yaml
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from pathlib import Path
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KNOWLEDGE_DIR = Path("/Users/apayne/burn-clone/STEP35-compounding-intelligence-140/knowledge")
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config_path = KNOWLEDGE_DIR / "global" / "citations.yaml"
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with open(config_path) as f:
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data = yaml.safe_load(f)
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papers = data.get("papers", [])
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print(f"Loaded {len(papers)} key papers:")
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for p in papers:
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print(f" - {p['s2_id']}: {p['title']}")
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# Test that citation_tracker module loads
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import importlib.util
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spec = importlib.util.spec_from_file_location("citation_tracker",
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"/Users/apayne/burn-clone/STEP35-compounding-intelligence-140/scripts/citation_tracker.py")
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mod = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(mod)
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print("Module loaded successfully")
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# Test fetch functions (with mock/real API)
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result = mod.fetch_paper("CorpusId:215715652") # Attention Is All You Need
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if result:
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print(f"Paper fetched: {result.get('title')} — {result.get('citationCount')} citations")
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else:
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print("Paper fetch failed (may be network issue)")
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