# Mapper Lib
A high-performance Python library for data mapping and transformation, built with C++ extensions for maximum efficiency.
## 📋 Description
**Mapper Lib** is a specialized library for transforming and mapping complex JSON data structures. It provides functionality for:
- **Flattening**: Convert nested dictionaries into flat structures
- **Field Mapping**: Map fields between different formats using JSON configurations
- **High Performance**: C++ implementation for fast data transformation operations
## 🚀 Features
- ⚡ **High Performance**: C++ implementation with Python bindings
- 🔧 **Configurable**: Mapping based on JSON configuration files
- 🐍 **Python Native**: Simple and intuitive API for Python
- 🎯 **Flexible**: Support for customizable separators and parent keys
- 🏗️ **Cross-Platform**: Support for Windows and Linux
## 📦 Installation
### Prerequisites
- Python 3.7+
- C++ compiler with C++17 support
- pybind11
### Installation via pip
```bash
pip install -r requirements.txt
pip install -e .
```
### Manual installation
```bash
# Clone the repository
git clone https://github.com/compre-sua-peca/csp_mapper.git
cd csp_mapper
# Install dependencies
pip install -r requirements.txt
# Compile and install
python setup.py build_ext --inplace
python setup.py install
```
## 💻 Usage Examples
### 📝 How Configuration Works
The library **reads JSON configuration files** from the file system. The file must contain a dictionary where each key represents a "trigger" that defines how to map the fields.
**Typical configuration file structure:**
```json
{
"trigger_1": {
"output_field_1": "input.field.path.1",
"output_field_2": "input.field.path.2"
},
"trigger_2": {
"another_field": "another.field.path"
}
}
```
### Example 1: Basic Mapping
**First, create the configuration file `mapping_config.json`:**
```json
{
"user_mapping": {
"nome": "user.personal.name",
"idade": "user.personal.age",
"endereco": "user.address.street",
"cidade": "user.address.city",
"pedido_id": "order.id",
"valor_total": "order.total"
}
}
```
**Then, use Python:**
```python
from mapper import mapper
# Create mapper instance
mapper_instance = mapper(sep=".", parent_key="data")
# Nested input data
input_data = {
"user": {
"personal": {
"name": "João Silva",
"age": 30
},
"address": {
"street": "Rua das Flores",
"city": "São Paulo"
}
},
"order": {
"id": "12345",
"total": 99.99
}
}
# Mapping using configuration file
result = mapper_instance.map_dict(
input_dict=input_data,
config_path="mapping_config.json",
trigger="user_mapping"
)
print(result)
```
### Example 2: Mapping with Configuration File
**config_file.json:**
```json
{
"user_mapping": {
"nome_completo": "user.personal.name",
"idade_usuario": "user.personal.age",
"endereco_completo": "user.address.street",
"cidade_usuario": "user.address.city"
},
"order_mapping": {
"id_pedido": "order.id",
"valor": "order.total"
}
}
```
**Python:**
```python
# Mapping using configuration file
result = mapper_instance.map_dict(
input_dict=input_data,
config_path="config_file.json",
trigger="user_mapping"
)
print(result)
```
**Output:**
```json
{
"nome_completo": "João Silva",
"idade_usuario": 30,
"endereco_completo": "Rua das Flores",
"cidade_usuario": "São Paulo"
}
```
### Example 3: Mapping without Trigger (Complete Configuration)
```python
# Mapping using entire configuration (without specific trigger)
result = mapper_instance.map_dict(
input_dict=input_data,
config_path="config_file.json"
# trigger=None (default)
)
print(result)
```
**Output:**
```json
{
"user_mapping": {
"nome_completo": "João Silva",
"idade_usuario": 30,
"endereco_completo": "Rua das Flores",
"cidade_usuario": "São Paulo"
},
"order_mapping": {
"id_pedido": "12345",
"valor": 99.99
}
}
```
### Example 4: Different Separators
```python
# Use dot as separator
mapper_dot = mapper(sep=".", parent_key="")
result_dot = mapper_dot.map_dict(input_data, "config.json", "user_mapping")
# Use underscore as separator
mapper_underscore = mapper(sep="_", parent_key="")
result_underscore = mapper_underscore.map_dict(input_data, "config.json", "user_mapping")
# Use slash as separator
mapper_bar = mapper(sep="/", parent_key="")
result_bar = mapper_bar.map_dict(input_data, "config.json", "user_mapping")
print("Result with dot:", result_dot)
print("Result with underscore:", result_underscore)
print("Result with slash:", result_bar)
```
### Example 5: Mapping with Parent Key
```python
# Mapper with parent key "api_data"
mapper_with_parent = mapper(sep=".", parent_key="api_data")
result_with_parent = mapper_with_parent.map_dict(input_data, "config.json", "user_mapping")
print("Result with parent key 'api_data':")
print(result_with_parent)
```
## 🔧 API Reference
### Class `mapper`
#### Constructor
```python
mapper(sep: str = "|", parent_key: str = "")
```
**Parameters:**
- `sep`: Separator to concatenate nested keys (default: "|")
- `parent_key`: Parent key to prefix all keys (default: "")
#### Methods
##### `map_dict(input_dict: dict, config_path: str, trigger: str = None) -> dict`
Main method that combines flattening and field mapping.
**Parameters:**
- `input_dict`: Input dictionary to be mapped
- `config_path`: Path to the JSON configuration file
- `trigger`: Specific key in the configuration to be used (optional)
**Returns:**
- Dictionary with mapped data according to the configuration
**Note:** This method internally uses the private methods `_flatten_dict()` and `_mapping_fields()` to perform processing, but the user only needs to know this public method.
## 🛠️ Development
### Compilation
```bash
# Compile C++ extensions
python setup.py build_ext --inplace
# Install in development mode
pip install -e .
```
## 📄 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 👥 Contributing
Contributions are welcome! Please feel free to:
1. Fork the project
2. Create a feature branch (`git checkout -b feature/AmazingFeature`)
3. Commit your changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request
## 📞 Support
For support and questions:
- **Author:** Gustavo de Oliveira
- **Email:** devops15@compresuapeca.com.br
- **Repository:** https://github.com/compre-sua-peca/csp_mapper
## 🔄 Version History
- **v1.0.6** - Current version with cross-platform support
- **v1.0.1** - Performance improvements
- **v1.0.0** - Initial release
---
⭐ If this project was useful to you, consider giving it a star in the repository!
Raw data
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"description": "# Mapper Lib\n\nA high-performance Python library for data mapping and transformation, built with C++ extensions for maximum efficiency.\n\n## \ud83d\udccb Description\n\n**Mapper Lib** is a specialized library for transforming and mapping complex JSON data structures. It provides functionality for:\n\n- **Flattening**: Convert nested dictionaries into flat structures\n- **Field Mapping**: Map fields between different formats using JSON configurations\n- **High Performance**: C++ implementation for fast data transformation operations\n\n## \ud83d\ude80 Features\n\n- \u26a1 **High Performance**: C++ implementation with Python bindings\n- \ud83d\udd27 **Configurable**: Mapping based on JSON configuration files\n- \ud83d\udc0d **Python Native**: Simple and intuitive API for Python\n- \ud83c\udfaf **Flexible**: Support for customizable separators and parent keys\n- \ud83c\udfd7\ufe0f **Cross-Platform**: Support for Windows and Linux\n\n## \ud83d\udce6 Installation\n\n### Prerequisites\n\n- Python 3.7+\n- C++ compiler with C++17 support\n- pybind11\n\n### Installation via pip\n\n```bash\npip install -r requirements.txt\npip install -e .\n```\n\n### Manual installation\n\n```bash\n# Clone the repository\ngit clone https://github.com/compre-sua-peca/csp_mapper.git\ncd csp_mapper\n\n# Install dependencies\npip install -r requirements.txt\n\n# Compile and install\npython setup.py build_ext --inplace\npython setup.py install\n```\n\n## \ud83d\udcbb Usage Examples\n\n### \ud83d\udcdd How Configuration Works\n\nThe library **reads JSON configuration files** from the file system. The file must contain a dictionary where each key represents a \"trigger\" that defines how to map the fields.\n\n**Typical configuration file structure:**\n```json\n{\n \"trigger_1\": {\n \"output_field_1\": \"input.field.path.1\",\n \"output_field_2\": \"input.field.path.2\"\n },\n \"trigger_2\": {\n \"another_field\": \"another.field.path\"\n }\n}\n```\n\n### Example 1: Basic Mapping\n\n**First, create the configuration file `mapping_config.json`:**\n```json\n{\n \"user_mapping\": {\n \"nome\": \"user.personal.name\",\n \"idade\": \"user.personal.age\",\n \"endereco\": \"user.address.street\",\n \"cidade\": \"user.address.city\",\n \"pedido_id\": \"order.id\",\n \"valor_total\": \"order.total\"\n }\n}\n```\n\n**Then, use Python:**\n```python\nfrom mapper import mapper\n\n# Create mapper instance\nmapper_instance = mapper(sep=\".\", parent_key=\"data\")\n\n# Nested input data\ninput_data = {\n \"user\": {\n \"personal\": {\n \"name\": \"Jo\u00e3o Silva\",\n \"age\": 30\n },\n \"address\": {\n \"street\": \"Rua das Flores\",\n \"city\": \"S\u00e3o Paulo\"\n }\n },\n \"order\": {\n \"id\": \"12345\",\n \"total\": 99.99\n }\n}\n\n# Mapping using configuration file\nresult = mapper_instance.map_dict(\n input_dict=input_data,\n config_path=\"mapping_config.json\",\n trigger=\"user_mapping\"\n)\nprint(result)\n```\n\n### Example 2: Mapping with Configuration File\n\n**config_file.json:**\n```json\n{\n \"user_mapping\": {\n \"nome_completo\": \"user.personal.name\",\n \"idade_usuario\": \"user.personal.age\",\n \"endereco_completo\": \"user.address.street\",\n \"cidade_usuario\": \"user.address.city\"\n },\n \"order_mapping\": {\n \"id_pedido\": \"order.id\",\n \"valor\": \"order.total\"\n }\n}\n```\n\n**Python:**\n```python\n# Mapping using configuration file\nresult = mapper_instance.map_dict(\n input_dict=input_data,\n config_path=\"config_file.json\",\n trigger=\"user_mapping\"\n)\n\nprint(result)\n```\n\n**Output:**\n```json\n{\n \"nome_completo\": \"Jo\u00e3o Silva\",\n \"idade_usuario\": 30,\n \"endereco_completo\": \"Rua das Flores\",\n \"cidade_usuario\": \"S\u00e3o Paulo\"\n}\n```\n\n### Example 3: Mapping without Trigger (Complete Configuration)\n\n```python\n# Mapping using entire configuration (without specific trigger)\nresult = mapper_instance.map_dict(\n input_dict=input_data,\n config_path=\"config_file.json\"\n # trigger=None (default)\n)\n\nprint(result)\n```\n\n**Output:**\n```json\n{\n \"user_mapping\": {\n \"nome_completo\": \"Jo\u00e3o Silva\",\n \"idade_usuario\": 30,\n \"endereco_completo\": \"Rua das Flores\",\n \"cidade_usuario\": \"S\u00e3o Paulo\"\n },\n \"order_mapping\": {\n \"id_pedido\": \"12345\",\n \"valor\": 99.99\n }\n}\n```\n\n### Example 4: Different Separators\n\n```python\n# Use dot as separator\nmapper_dot = mapper(sep=\".\", parent_key=\"\")\nresult_dot = mapper_dot.map_dict(input_data, \"config.json\", \"user_mapping\")\n\n# Use underscore as separator\nmapper_underscore = mapper(sep=\"_\", parent_key=\"\")\nresult_underscore = mapper_underscore.map_dict(input_data, \"config.json\", \"user_mapping\")\n\n# Use slash as separator\nmapper_bar = mapper(sep=\"/\", parent_key=\"\")\nresult_bar = mapper_bar.map_dict(input_data, \"config.json\", \"user_mapping\")\n\nprint(\"Result with dot:\", result_dot)\nprint(\"Result with underscore:\", result_underscore)\nprint(\"Result with slash:\", result_bar)\n```\n\n### Example 5: Mapping with Parent Key\n\n```python\n# Mapper with parent key \"api_data\"\nmapper_with_parent = mapper(sep=\".\", parent_key=\"api_data\")\n\nresult_with_parent = mapper_with_parent.map_dict(input_data, \"config.json\", \"user_mapping\")\nprint(\"Result with parent key 'api_data':\")\nprint(result_with_parent)\n```\n\n## \ud83d\udd27 API Reference\n\n### Class `mapper`\n\n#### Constructor\n```python\nmapper(sep: str = \"|\", parent_key: str = \"\")\n```\n\n**Parameters:**\n- `sep`: Separator to concatenate nested keys (default: \"|\")\n- `parent_key`: Parent key to prefix all keys (default: \"\")\n\n#### Methods\n\n##### `map_dict(input_dict: dict, config_path: str, trigger: str = None) -> dict`\nMain method that combines flattening and field mapping.\n\n**Parameters:**\n- `input_dict`: Input dictionary to be mapped\n- `config_path`: Path to the JSON configuration file\n- `trigger`: Specific key in the configuration to be used (optional)\n\n**Returns:**\n- Dictionary with mapped data according to the configuration\n\n**Note:** This method internally uses the private methods `_flatten_dict()` and `_mapping_fields()` to perform processing, but the user only needs to know this public method.\n\n## \ud83d\udee0\ufe0f Development\n\n### Compilation\n\n```bash\n# Compile C++ extensions\npython setup.py build_ext --inplace\n\n# Install in development mode\npip install -e .\n```\n\n## \ud83d\udcc4 License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## \ud83d\udc65 Contributing\n\nContributions are welcome! Please feel free to:\n\n1. Fork the project\n2. Create a feature branch (`git checkout -b feature/AmazingFeature`)\n3. Commit your changes (`git commit -m 'Add some AmazingFeature'`)\n4. Push to the branch (`git push origin feature/AmazingFeature`)\n5. Open a Pull Request\n\n## \ud83d\udcde Support\n\nFor support and questions:\n\n- **Author:** Gustavo de Oliveira\n- **Email:** devops15@compresuapeca.com.br\n- **Repository:** https://github.com/compre-sua-peca/csp_mapper\n\n## \ud83d\udd04 Version History\n\n- **v1.0.6** - Current version with cross-platform support\n- **v1.0.1** - Performance improvements\n- **v1.0.0** - Initial release\n\n---\n\n\u2b50 If this project was useful to you, consider giving it a star in the repository!\n",
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