73 lines
No EOL
1.8 KiB
Text
73 lines
No EOL
1.8 KiB
Text
# Contact Discovery Pipeline Requirements
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## Core Dependencies (Educational Implementation)
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```bash
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# Core service dependencies
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pip install fastapi uvicorn
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# Phone number handling (optional for advanced validation)
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pip install phonenumbers
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# Dashboard dependencies (optional)
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pip install streamlit plotly pandas
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# Additional utilities (optional)
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pip install pydantic python-multipart httpx aiofiles
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```
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## Minimal Installation
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For the basic educational demonstration with no external dependencies:
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```bash
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# The core service uses only Python standard library
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python contact_discovery_service.py
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# The dashboard uses only Python standard library
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python contact_discovery_dashboard.py
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```
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## Full Installation
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For all features including advanced validation and visualization:
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```bash
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# Install all dependencies
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pip install fastapi uvicorn streamlit plotly pandas phonenumbers pydantic python-multipart httpx aiofiles
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```
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## Development Setup
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```bash
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# Create virtual environment
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python -m venv contact_discovery_env
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source contact_discovery_env/bin/activate # On Windows: contact_discovery_env\Scripts\activate
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# Install dependencies
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pip install fastapi uvicorn streamlit plotly pandas
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# Verify installation
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python -c "import fastapi, streamlit, plotly; print('Dependencies installed successfully')"
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```
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## Version Requirements
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- Python 3.7+
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- fastapi>=0.68.0
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- uvicorn[standard]>=0.15.0
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- streamlit>=1.28.0 (optional)
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- plotly>=5.17.0 (optional)
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- pandas>=2.1.0 (optional)
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- phonenumbers>=8.13.0 (optional)
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- pydantic>=2.5.0 (optional)
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- python-multipart>=0.0.6 (optional)
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- httpx>=0.25.0 (optional)
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- aiofiles>=23.2.0 (optional)
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## Notes
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- The core educational implementation uses only Python standard library modules
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- External dependencies are optional for enhanced features
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- SQLite3 is built into Python 3.7+
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- No database drivers required for the basic demonstration |