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1. #Quick start gitup how to#
2. #Quick start gitup install#
3. #Quick start gitup trial#
4. #Quick start gitup password#

find_devices () # Print them print ( "I've found the following devices:" ) for dev in meross_devices : print ( f ". async_device_discovery () meross_devices = manager. Verify your environment matches the requirements for installing Codefresh runtime.

#Quick start gitup password#

async_from_user_password ( email = EMAIL, password = PASSWORD ) # Setup and start the device manager manager = MerossManager ( http_client = http_api_client ) await manager. Quick start Prepare for runtime installation. get ( 'MEROSS_PASSWORD' ) or "YOUR_MEROSS_CLOUD_PASSWORD" async def main (): # Setup the HTTP client API from user-password http_api_client = await MerossHttpClient.

get ( 'MEROSS_EMAIL' ) or "YOUR_MEROSS_CLOUD_EMAIL" PASSWORD = os. If you have not cloned an existing repository and want to connect your repository to a remote server, you need to add it with. Change master to whatever branch you want to push your changes to. We can query indexed attributes as follows: auto record_stream1 = mlog->execute_filter("cpu_util>0.5 || mem_availquery_filter("low_resources", 0, UINT64_MAX) įor (auto s = record_stream2 !s.empty() s = s.Import asyncio import os from meross_iot.http_api import MerossHttpClient from meross_iot.manager import MerossManager EMAIL = os. To send those changes to your remote repository, execute. It is straightforward to retrieve records given their offsets: auto record1 = mlog->read(off1) Įach of record1, record2, and record3 are vectors of strings.

Now we take a look at how we can query the data in the Atomic MultiLog. Depending on your use case and preference, you can use Vue with or without a build step. This forms the "key" for records stored in the Atomic MultiLog - recordsĬan be retrieved by specifying their corresponding offsets.

#Quick start gitup trial#

This Quick Start deploys a free, 45-day trial version of GitHub Enterprise. Of the timestamp - if the timestamp is not provided, Confluo will automaticallyĪlso note that the operation returns a unique offset corresponding to each append Development, continuous integration, and collaboration platform on the AWS Cloud. Vector must match the number of entries in the schema, with the exception The vector corresponds to a single record. Note that the append method takes a vector of strings as its input, where

Table) this requires three parameters: name, schema, and the storage mode: std::string schema = ") We then create a new Atomic MultiLog within the Store (synonymous to a database We will first create a new Confluo Store with the data path for it to useĪs follows: confluo::confluo_store store("/path/to/data") Header file to include is confluo_store.h. In order to use Confluo in the embedded mode, we simply need to includeĬonfluo's header files under libconfluo/confluo, use the Confluo C++ API inĪ C++ application, and compile using a modern C++ compiler. In the stand-alone mode, Confluo runsĪs a daemon server process, allowing clients to communicate with it using In the embedded mode,Ĭonfluo is used as a header-only library in C++, allowing Confluo to use the sameĪddress-space as the application process.

#Quick start gitup install#

Make -j & make test & make install Using Confluo ¶Ĭonfluo can be used in two modes - embedded and stand-alone. To download and install Confluo, use the following commands: git clone

#Quick start gitup how to#

In this Quick Start, we will take a look at how to download and setup Confluo,