35 lines
1.7 KiB
Plaintext
35 lines
1.7 KiB
Plaintext
Task and Reminder Manager Backend - Walkthrough
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What Was Accomplished
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I successfully developed the backend infrastructure for the Task and Reminder Manager application, exposing a REST API built with FastAPI that meets the user requirements. I set up the database, models, and endpoints necessary to manage tasks and reminders.
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Key Changes Made
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Application Structure: Created a modular FastAPI backend (
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main.py
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,
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database.py
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,
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models.py
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,
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schemas.py
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,
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crud.py
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).
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Database System: Implemented SQLite functionality via SQLAlchemy, with specific models adapted to track user execution and messaging contexts.
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Designed
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Task
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model containing the telegram_user_id and the status (pending, completed).
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Designed
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Reminder
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model tightly coupled to
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Task
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, capable of deep tracking: trigger_time, recurrence_type (daily, custom, etc.), and notification toggles (notify_push, notify_telegram).
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Data Validation: Built Pydantic schemas representing creation payloads, updates, and serialized API responses to ensure safe data boundaries.
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API Endpoints: Built isolated routers to handle operations across tasks (
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routers/tasks.py
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) and reminders (
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routers/reminders.py
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). Examples include retrieving tasks specific to a telegram_user_id, handling task completion logic (via PUT endpoint updates), and constructing sophisticated reminders.
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Validation Results
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Verified that all necessary dependencies (including updated Python 3.13-compatible versions) install inside a valid virtual environment.
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Verified successful Uvicorn server boot without errors.
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Fired test API requests to generate entries into SQLite, returning 200 success responses. The system's CRUD functionality handles database commits successfully and retrieves nested relationships gracefully. |