WeiboClient — Social Automation Client & API Integration Suite

Side Project

Individual Role: Backend & API Integration Developer

WeiboClient is an extensible Python automation client and CLI toolkit designed for social media automation, media pipeline uploads, keyword sentiment extraction, and authenticated session management with MongoDB storage and serverless function deployment.

GitHub: opedium/WeiboClient

Interface: Interactive CLI + Python SDK

Storage: MongoDB + Appwrite Cloud Functions

View GitHub Repo

TECHNOLOGY STACK:

Python 3 Interactive CLI (Readline) MongoDB Persistence RESTful API Automation Appwrite Cloud Functions Multi-Part Media Uploads Cookie Session Manager

System Pipeline & Cloud Architecture

CLI / Headless Task

Cookie Session Manager

Chunked Media Uploader

Appwrite Serverless

MongoDB Atlas Storage

System Architecture & Key Engineering Features

1. Interactive CLI & Batch Action Execution (client.py)

Engineered a command-line interface featuring tab completion, command history, and modular action dispatching.

Interactive menu mode with categorized action codes (media publishing, user following, timeline querying, topic searching).
Dry-run execution mode (--dry-run) inspecting generated request headers and body payloads before network dispatch.
Batch parameter automation supporting headless script integration and scheduled task queues.

# Chunked binary image/video upload handler
def upload_pic(self, file_path: str) -> dict:
    with open(file_path, 'rb') as f:
        files = {'pic': (os.path.basename(file_path), f, 'image/jpeg')}
        res = self.session.post(API_UPLOAD_URL, files=files, headers=self._auth_headers())
        return res.json()  # Extracts dynamic pic_id for post payload

2. Multi-Part Binary Media Upload Pipeline

Architected robust media upload handlers for image and high-resolution video assets.

Built chunked multi-part upload protocols extracting video media_id and dynamic thumbnail cover_pid pointers.
Bidirectional conversion utilities transforming alphanumeric base-62 blog identifiers (bid) into internal 64-bit integer IDs (mid).
MIME type verification and automatic image dimension validation prior to transmission.

3. Serverless Integration & MongoDB Database Persistence

Structured cloud storage schemas and serverless function dispatch pipelines for high availability.

Designed MongoDB document schemas indexing extracted social timelines, keyword sentiments, and engagement metrics.
Deployed Appwrite serverless cloud functions to execute periodic background monitoring jobs without local machine dependency.
Configured secure environment variable injection for credentials and API keys.