ai-agent-book 精选快照(<2MB 代码与文档,来自 github.com/bojieli/ai-agent-book)
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# Legal Document Indexing Script
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This script indexes local Chinese legal documents from the `laws` directory into the retrieval pipeline.
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## Features
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- **Smart Chunking**: Respects paragraph boundaries with configurable soft (1024 chars) and hard limits (2048 chars)
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- **Automatic Cleanup**: Cleans existing indexes before processing
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- **Category Support**: Process specific legal categories or all documents
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- **Progress Tracking**: Real-time progress updates and statistics
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- **Verification**: Built-in test queries to verify indexing
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## Prerequisites
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1. Ensure the retrieval pipeline is running:
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```bash
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# Terminal 1: Start dense service
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python dense_service.py
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# Terminal 2: Start sparse service
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python sparse_service.py
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# Terminal 3: Start main pipeline
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python main.py
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```
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2. The `laws` directory should be present with legal documents organized by category:
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```
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laws/
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├── 1-宪法/
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├── 2-宪法相关法/
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├── 3-民法典/
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├── 3-民法商法/
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├── 4-行政法/
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├── 5-经济法/
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├── 6-社会法/
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├── 7-刑法/
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└── 8-诉讼与非诉讼程序法/
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```
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## Usage
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### Basic Usage
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```bash
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# Index all legal documents
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python index_local_laws.py
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# Index with verification tests
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python index_local_laws.py --verify
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```
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### Advanced Options
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```bash
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# Index only first 10 documents
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python index_local_laws.py --max-docs 10
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# Index specific categories only
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python index_local_laws.py --categories "宪法" "民法典" "刑法"
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# Use custom pipeline URL
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python index_local_laws.py --pipeline-url http://localhost:8080
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# Skip cleanup (append to existing index)
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python index_local_laws.py --no-cleanup
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```
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## Chunking Strategy
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The script uses intelligent chunking that:
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1. Accumulates paragraphs until soft limit (1024 chars) is exceeded
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2. Continues adding if next paragraph fits within hard limit (2048 chars)
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3. Cuts at paragraph boundary when possible
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4. Force splits oversized paragraphs at hard limit
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This approach ensures:
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- Legal provisions remain intact when possible
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- Context is preserved within chunks
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- Search relevance is optimized
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## Output Statistics
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After indexing, the script displays:
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- Processing time
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- Number of documents and categories processed
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- Total chunks created and indexed
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- Average chunks per document
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- Processing speed
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- Any errors encountered
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## Verification
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Use the `--verify` flag to run test searches:
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```bash
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python index_local_laws.py --verify
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```
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Test queries include:
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- 民法典 (Civil Code)
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- 合同法 (Contract Law)
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- 劳动法 (Labor Law)
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- 刑法 (Criminal Law)
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- 宪法 (Constitution)
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## Document Store
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The script maintains a local `document_store.json` file tracking:
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- Document metadata
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- Number of chunks per document
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- Indexing timestamps
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- Category information
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## Error Handling
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- Documents that fail to read are skipped
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- Failed chunk indexing is logged but doesn't stop processing
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- Statistics track all errors for review
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