Symbol attributions example cleaned up

codegen-examples/examples/symbol-attributions/README.md

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+# Symbol Attributions
+
+This example demonstrates how to analyze and track attribution information for symbols in a codebase, including identifying AI vs human contributions and tracking edit history.
+
+## What it does
+
+This script performs several key functions:
+
+1. **Codebase Analysis**
+   - Loads and parses all Python files in the repository
+   - Builds a dependency graph of symbols (classes, functions, etc.)
+   - Analyzes import relationships and dependencies
+
+```python
+  from codegen import Codebase
+
+  # Initialize codebase object from directory
+  codebase = Codebase.from_repo("your-org/your-repo", language="python")
+```
+
+2. **AI Impact Analysis**
+   - Identifies commits made by AI bots vs human contributors
+   - Calculates statistics on AI contributions:
+     - Percentage of AI commits
+     - Files with significant AI contribution
+     - Number of AI-touched symbols
+   - Identifies high-impact AI-written code
+
+```python
+  ai_authors = ["devin[bot]", "codegen[bot]", "github-actions[bot]"]
+  add_attribution_to_symbols(codebase, ai_authors)
+```
+
+3. **Symbol Attribution**
+   - Tracks edit history for each symbol in the codebase
+   - Records:
+     - Last editor of each symbol
+     - Complete editor history
+     - Whether the symbol was AI-authored
+   - Provides detailed attribution for most-used symbols
+
+```python
+  symbols_with_usages = []
+  for symbol in codebase.symbols:
+      if hasattr(symbol, "usages") and len(symbol.usages) > 0:
+          symbols_with_usages.append((symbol, len(symbol.usages)))
+```
+
+## Example Output
+
+The script provides detailed analytics including:
+
+- Repository statistics (files, symbols, contributors)
+- AI contribution summary (% of commits, impacted files)
+- Top contributors list
+- Detailed attribution for most-used symbols, showing:
+  - Symbol name and type
+  - File location
+  - Usage count
+  - Last editor
+  - Editor history
+  - AI authorship status
+
+## Usage
+
+Run the script in your repository:
+
+```bash
+python run.py
+```
+
+The script will automatically:
+
+- Use the current directory if it's a git repository
+- Fall back to a sample repository if not in a git repo
+- Generate comprehensive attribution analysis
+- Save detailed results to `ai_impact_analysis.json`
+
+## Requirements
+
+- A Git repository
+- Python codebase
+- `codegen` installed
+
+## Learn More
+
+- [Codegen Symbols](https://docs.codegen.com/api-reference/core/Symbol#symbol)
+- [Codegen Documentation](https://docs.codegen.com)
+
+## Contributing
+
+Feel free to submit issues and enhancement requests!