Juan Fernando Castro
e32bfa839d
* fix: count one app open per account per app per day `app_opens` is read two ways at once: `open_count` is a row count and `user_count` is distinct accounts. A repeated open moves the first without the first moving the second, and the incentive report prices opens. An open is now marked as it is recorded and skipped for the rest of the day, before both the row and the event ClickHouse ingests, so the two stores agree. The marker is set only when absent, so the first open of the day wins a race; an unreachable marker counts the open, since counting twice beats not counting. * fix: count one app open per account per app per day, at the count Dropped the row-suppression approach. `app_opens` is not only a counter: `getRecentAppOpens` orders the desktop's recent list by `MAX(_id)`, and `app.opened` is the socket event other tabs reorder on. Suppressing the repeat row froze both at the first open of the day. Every open is recorded as before. `open_count` counts each account once per day instead, which is the figure `user_count` is read against. `countDistinctUserDays` folds the pair into one number because `COUNT(DISTINCT a, b)` is MySQL-only, and `dayBucket` covers MySQL's decimal division. ClickHouse has uniqExact over the tuple. Note the figure's meaning changes at deploy: a period spanning it mixes rows with account-days, so a comparison across that point is not one. * fix: count one app open per account per app per hour Review feedback: a day is too long a window for the repeat to collapse into. The period is now an argument rather than a baked-in 86400, held in one constant on AppStore beside the other store policy numbers, so the SQL and ClickHouse sites cannot drift and a future change is one line. The fold `COUNT(DISTINCT user * N + bucket)` is only injective while the bucket index stays under N. Hourly buckets are 24x the day index and pass the old 1000000 in 2084, so N moves to 10000000. Buckets are clock hours, not a rolling window, so two opens a minute apart either side of the hour still count twice — tested, and the same property the day version had at UTC midnight. The detailed-stats fixture gave its repeat open a 60s offset, which under hourly buckets would have counted twice whenever the suite ran in the first minute of an hour. It now shares a timestamp with the open it repeats.
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Puter.com
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Puter
Puter is an advanced, open-source, self-hostable internet computer designed to be feature-rich, fast, and highly extensible.
For Users
Puter's goal is to provide you with every app and feature you need to work, create, and play under one roof. From a simple Notepad and Voice Recorder to Spreadsheet and Camera, Puter wants to be the all-in-one solution for your digital life.
For Developers
Puter provides everything you need to build and publish web apps and games. From AI to Cloud Storage and Database to Serverless Workers, Puter has you covered. Puter also helps you get users! Once you build your app, you can publish it on our App Store to reach and monetize users.
Getting Started
💻 Local Development
git clone https://github.com/HeyPuter/puter
cd puter
npm install
npm start
→ This should launch Puter at http://puter.localhost:4100
To run this checkout with Docker, follow Building from source. Create a local docker-compose.override.yml to select the local build; keeping these settings out of docker-compose.yml avoids conflicts when pulling updates and keeps local configuration out of pull requests.
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Linux/macOS
curl -fsSL https://puter.com/selfhost | sh
Windows
irm https://puter.com/selfhost?os=windows | iex
→ For more details, see Self-Hosting Puter.
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This repository, including all its contents, sub-projects, modules, and components, is licensed under AGPL-3.0 unless explicitly stated otherwise. Third-party libraries included in this repository may be subject to their own licenses.
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