Generalized Omni-dimensional Development

User Tools

Site Tools

Trace: • ai_security_anomaly_detector • ai_pipeline_cli
data_fetcher

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision		Previous revision
data_fetcher [2025/05/30 12:49] – [Advanced Features] eagleeyenebuladata_fetcher [2025/06/06 01:46] (current) – [Data Fetcher] eagleeyenebula
Line 2: Line 2:
 **[[https://autobotsolutions.com/god/templates/index.1.html|More Developers Docs]]**: **[[https://autobotsolutions.com/god/templates/index.1.html|More Developers Docs]]**:
 The **Data Fetcher** component is a lightweight and modular system designed to retrieve data from various sources such as local files, remote databases, and external APIs. Built with scalability in mind, it abstracts the complexities of data retrieval behind a consistent interface, enabling developers to integrate new data sources without disrupting existing workflows. This streamlined approach reduces redundancy and promotes clean, maintainable code throughout the data pipeline. The **Data Fetcher** component is a lightweight and modular system designed to retrieve data from various sources such as local files, remote databases, and external APIs. Built with scalability in mind, it abstracts the complexities of data retrieval behind a consistent interface, enabling developers to integrate new data sources without disrupting existing workflows. This streamlined approach reduces redundancy and promotes clean, maintainable code throughout the data pipeline.
 +
 +{{youtube>PW3c5CAOtCw?large}}
 +
 +-------------------------------------------------------------
  
 The component is built using a plug-and-play architecture, allowing developers to easily define adapters or connectors for different data formats and protocols whether it's **JSON**, **CSV**, **SQL**, or **RESTful** endpoints. Error handling, logging, and retry mechanisms are embedded into the system, ensuring robust and reliable operation even in unstable network environments. Furthermore, its reusable design makes it an ideal foundation for data-driven applications that require flexibility, such as ETL pipelines, real-time dashboards, or machine learning workflows. The component is built using a plug-and-play architecture, allowing developers to easily define adapters or connectors for different data formats and protocols whether it's **JSON**, **CSV**, **SQL**, or **RESTful** endpoints. Error handling, logging, and retry mechanisms are embedded into the system, ensuring robust and reliable operation even in unstable network environments. Furthermore, its reusable design makes it an ideal foundation for data-driven applications that require flexibility, such as ETL pipelines, real-time dashboards, or machine learning workflows.
Line 204: Line 208:
  
 1. **Fetching from Remote Databases**: 1. **Fetching from Remote Databases**:
-   * Extend the class to support connections to remote SQL databases (e.g., PostgreSQL, MySQL) using libraries like `psycopg2` or `mysql-connector`.+   * Extend the class to support connections to remote SQL databases (e.g., **PostgreSQL**, **MySQL**) using libraries like **psycopg2** or **mysql-connector**.
  
 2. **Cloud Data Fetching**: 2. **Cloud Data Fetching**:
-   * Add methods to fetch data from AWS S3, Google Cloud Storage, or Azure Blob Storage using their respective SDKs.+   * Add methods to fetch data from **AWS S3**, **Google Cloud Storage**, or Azure Blob Storage using their respective **SDKs**.
  
 3. **Streaming Large Data Files**: 3. **Streaming Large Data Files**:
Line 229: Line 233:
  
 1. **Data Ingestion Pipelines**: 1. **Data Ingestion Pipelines**:
-   Fetch raw data for preprocessing and processing in AI/ML workflows.+   * Fetch raw data for preprocessing and processing in AI/ML workflows.
 2. **Database Queries**: 2. **Database Queries**:
-   Retrieve tabular data from local or remote database systems.+   * Retrieve tabular data from local or remote database systems.
 3. **Configuration File Management**: 3. **Configuration File Management**:
-   Read and parse configuration, environment, or logging files.+   * Read and parse configuration, environment, or logging files.
 4. **Integration with APIs**: 4. **Integration with APIs**:
-   Extend the class to fetch data from REST/GraphQL APIs for streaming live data into workflows.+   * Extend the class to fetch data from **REST/GraphQL APIs** for streaming live data into workflows.
  
 ===== Future Enhancements ===== ===== Future Enhancements =====
data_fetcher.1748609351.txt.gz · Last modified: 2025/05/30 12:49 by eagleeyenebula