Automatically collect, parse, and extract key information from research reports. Supports PDF, TXT, and other formats.
Scanned 9/9/2026
Install to Claude Code
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# Report Processor (研报处理器)
Automatically collect, parse, and extract key information from research reports. Supports PDF, TXT, and other formats.
## Features
- Parse research reports (PDF/TXT)
- Extract key information (core观点、数据、投资建议、风险)
- Auto summary generation
- Knowledge base storage
## Requirements
- Ollama with qwen2.5:14b model installed
- poppler-utils (for PDF parsing)
## Installation
```bash
# Install Ollama and pull model
ollama pull qwen2.5:14b
# Install poppler (for PDF support)
# macOS
brew install poppler
# Linux
sudo apt install poppler-utils
```
## Usage
```bash
# Process single file
python3 scripts/report_processor.py /path/to/report.pdf
# Batch process directory
python3 scripts/report_processor.py /path/to/reports/
```
## Output
Results are saved to `~/.openclaw/workspace/data/reports/` in JSON format.
## Configuration
Edit `scripts/report_processor.py` to customize:
- `OLLAMA_MODEL`: Model to use (default: qwen2.5:14b)
- `OUTPUT_DIR`: Output directory
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