wehub-resource-sync
68 lines
1.8 KiB
Markdown
68 lines
1.8 KiB
Markdown
# Python → TypeScript Claude Context Bridge
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A simple utility to call TypeScript Claude Context methods from Python.
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## What's This?
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This directory contains a basic bridge that allows you to run Claude Context TypeScript functions from Python scripts. It's not a full SDK - just a simple way to test and use the TypeScript codebase from Python.
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## Files
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- `ts_executor.py` - Executes TypeScript methods from Python
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- `test_context.ts` - TypeScript test script with Claude Context workflow
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- `test_endtoend.py` - Python script that calls the TypeScript test
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## Prerequisites
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```bash
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# Make sure you have Node.js dependencies installed
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cd .. && pnpm install
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# Set your OpenAI API key (required for actual indexing)
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export OPENAI_API_KEY="your-openai-api-key"
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# Optional: Set Milvus address (defaults to localhost:19530)
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export MILVUS_ADDRESS="localhost:19530"
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```
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## Quick Usage
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```bash
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# Run the end-to-end test
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python test_endtoend.py
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```
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This will:
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1. Create embeddings using OpenAI
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2. Connect to Milvus vector database
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3. Index the `packages/core/src` codebase
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4. Perform a semantic search
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5. Show results
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## Manual Usage
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```python
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from ts_executor import TypeScriptExecutor
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executor = TypeScriptExecutor()
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result = executor.call_method(
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'./test_context.ts',
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'testContextEndToEnd',
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{
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'openaiApiKey': 'sk-your-key',
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'milvusAddress': 'localhost:19530',
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'codebasePath': '../packages/core/src',
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'searchQuery': 'vector database configuration'
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}
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)
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print(result)
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```
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## How It Works
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1. `ts_executor.py` creates temporary TypeScript wrapper files
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2. Runs them with `ts-node`
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3. Captures JSON output and returns to Python
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4. Supports async functions and complex parameters
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That's it! This is just a simple bridge for testing purposes. |