App-based media Exchange for Google Photos, iCloud Drive, Instagram

We are building a flutter app that connects to different popular media stores (Google Drive, Google Photos, Instagram, etc.). For each of these connectors, the app should support all fundamental operations including authentication, uploads, downloads, and more. In this contest, the participants have to add support for two of the following three: -> Google Photos, -> iCloud Drive, -> Instagram Languages allowed: Dart (preferable), Python, Java Requirements: Implement the class functions declared in the attached connection_provider.dart file. Replicate the structure if working in a different language. The function definitions should make the requests to the published raw API endpoints for the connector. (No API packages allowed for obtaining the results) You may use official API packages to correctly deserialize the response (such as for the ‘read’ operation). But the request to the API endpoint has to be made from your code. Example: httpClient.get(“/drive/v3/files/<file_id>”); Proper error handling of API responses is essential. Some connectors may not officially support operations like download/upload. Please leave them unimplemented with a comment and corresponding link stating lack of support. ‘upload’ should have support for large files. Depending on the connector, this would mean uploading files in chunks. ‘index’ operation should implement support for pagination. Any additional parameters required by any of the connectors for any operation can be passed through the ‘params’ argument. Automating OAuth 2.0 might be a challenge. We are okay if some of it is handled manually. - The authorization_grant received by the redirect_url can be saved manually. - Similarly, the tokens received after ‘exchangeToken’ or ‘refreshToken’ can be saved manually. These manually stored tokens can then be hardcoded in the code to make the subsequent API requests. Demonstrating the working of all the functions is required for a successful entry. The demonstration will be in a google meet and will have to include english language review/explanation of the developed source code as well as demonstration of the functionality. ‘Prettyness’ is not a criteria. Judging will be based on how many of the listed connectors are included in the contest solution and the suitability of the demonstrated approach as part of a mass market app. It is likely that the developer of the winning entry will be invited to develop additional connectors to many common social media platforms.

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