Basic Video Ingestion In VeritasVid A Drag And Drop MVP Task
Hey guys! Let's dive into the nitty-gritty of implementing a basic video ingestion feature in VeritasVid. This is an MVP (Minimum Viable Product) task, so we're focusing on getting the core functionality up and running first. We'll be tackling local video ingestion via drag and drop, making it super easy for users to upload their videos. Let's break down the steps, criteria, and all the juicy details.
Understanding the MVP Task: Basic Ingestion
The MVP Task: Basic Ingestion for VeritasVid is all about getting the fundamental video upload process in place. Think of it as laying the foundation for more advanced features down the road. The main goal here is to allow users to drag and drop video files directly into the application, which will then be stored for further processing. This feature is crucial because it's the entry point for all video-related operations within VeritasVid. Without a robust ingestion mechanism, we can't really do anything else, right? We need to ensure that the system can handle video uploads smoothly, validate the file formats, and provide clear feedback to the user. This task sets the stage for future enhancements like video encoding, analysis, and playback. The initial focus is on MP4 and AVI formats to keep things simple. By achieving this basic functionality, we’re enabling users to start working with the platform and providing valuable feedback. Remember, this is an MVP, so the key is to get something functional and reliable out the door quickly. We will then iterate based on user feedback and evolving requirements. The successful implementation of this task will not only provide a core feature but also help us understand the challenges and opportunities in video ingestion, paving the way for future improvements and more sophisticated features.
Steps to Implement the Basic Ingestion Feature
Alright, let's break down the actual steps we need to take to get this video ingestion feature up and running. First off, we're going to add a Streamlit component that can handle the drag-and-drop functionality. Streamlit is awesome because it makes building interactive web apps with Python a breeze, so this should be relatively straightforward. Think of it as creating a designated area on the screen where users can simply drag their video files. Next up, we need to restrict the file types that the system accepts. For this initial version, we're keeping it simple and sticking to MP4 and AVI formats. This means we'll need to implement some validation to ensure that users aren't trying to upload other video formats just yet. Once a file is dragged and dropped, we'll temporarily store it in an uploads/ folder within the project directory. This is like a staging area where the video sits before we process it further. We'll need to make sure this folder exists and that our application has the necessary permissions to write files to it. Finally, we need to verify that the uploaded file actually exists and that its format is one of the two supported formats (MP4 or AVI). This is a crucial step to prevent any errors or unexpected behavior down the line. We'll be using some file system operations and potentially some libraries to inspect the file's metadata. Each of these steps is essential to ensuring a smooth and reliable video ingestion process. By taking a methodical approach and testing each step along the way, we can build a solid foundation for future enhancements. Let's get our hands dirty and start coding!
Acceptance Criteria for the MVP Task
Okay, so how do we know if we've nailed this MVP task? Let's talk about the acceptance criteria. These are the specific things that need to be true for the feature to be considered complete and ready to go. First up, the web interface needs to display a clearly identifiable drop zone. This means users should instantly recognize where they can drag and drop their video files. Think of it as a visual cue that screams, “Drop your videos here!” Next, if a user drops an MP4 or AVI file, it should be correctly saved in that uploads/ directory we talked about. We'll need to verify that the file exists in the directory and that it's not corrupted or anything. This is the bread and butter of the ingestion process. Now, what happens if someone tries to upload a file that's not MP4 or AVI? Well, any other format should trigger an error message. We need to let the user know politely but firmly that we don't support that format yet. This helps prevent frustration and ensures they know what's going on. Finally, we need to have logs that indicate whether an ingestion was successful or not. A log message like “Ingestion réussie : <nom_du_fichier>” tells us that everything went smoothly, while a message like “Échec ingestion :
Labels and Assignee
For this task, we're using the labels mvp and backend. The mvp label signifies that this is a minimum viable product task, meaning we're focusing on the essential functionality to get something working quickly. The backend label indicates that this task primarily involves server-side development and logic. The assignee for this task is @Dzerji, who will be responsible for implementing the described functionality. This ensures clear ownership and accountability for the task's completion. The labels help in categorizing and prioritizing the task, while the assignee ensures that someone is directly responsible for its progress.
Conclusion
So, there you have it! We've laid out the plan for implementing a basic video ingestion feature in VeritasVid. We've talked about the steps involved, the criteria for success, and even who's in charge. Remember, this is an MVP, so the goal is to get something functional and reliable out the door. By focusing on MP4 and AVI formats and providing clear feedback to the user, we can build a solid foundation for future enhancements. This task is a crucial first step in enabling video-related operations within VeritasVid, and I'm excited to see how it comes together. Let's get to work and make it happen, guys!