dbussy | Python binding for D-Bus using asyncio
kandi X-RAY | dbussy Summary
kandi X-RAY | dbussy Summary
D-Bus is a high-level interprocess communication protocol. It also provides a standard daemon, that is included with the main Linux desktop environments, that implements a set of standard “buses”: a “system” bus that is created at system boot time, and a “session” bus that belongs to each user who logs into one of these desktop environments. Processes can register their services on one of these buses—the system bus for systemwide access, or the session bus for per-user access—where other processes can find them by name and connect to them. Or they can accept connections on entirely separate networking sockets, without any dependency on the D-Bus daemon. libdbus, the reference implementation for the low-level D-Bus protocol, supports both modes of operation. D-Bus is based around the concept of passing messages conforming to a standard, extensible format. Messages are of four types: * a “method call” * a “method return” (normal response to a method call) * an “error” (abnormal response to a method call) * a “signal” notification. A method-call message is how one process requests a service of another process via D-Bus; the usual response would be a method-return message in the other direction indicating the completion status of the service being performed; it is also possible to send method-call messages without expecting a reply. If there was something wrong with the method-call message (e.g. inappropriate parameters, lack of permissions), then the response would be an error message. One could also send a method-return with information indicating a failure to perform the requested service; presumably the choice between the types of response is that an error return indicates a condition that is not supposed to happen—a bug in the requesting program. Signal messages are sent as notifications of interesting events pertaining to the current session (for the session bus) or the entire system (for the system bus). They are usually not sent to a specific destination, but can be picked up by all interested processes on the bus. There are no replies to signals; if the receiving process cannot or will not process a particular message, it simply ignores it. Messages optionally include the following information: * a destination “bus name” indicating the process that is to receive the message (this is not the name of the bus, but the name of a process on the bus) * an “object path” which looks like a POSIX absolute file name (always beginning with a slash and never ending with a slash, except for the root object “/”); the meaning of this is up to the receiving process, but it is intended to indicate some object within the hierarchy exposed by the process * an “interface name” which identifies the particular message protocol * a “method name” which identifies the particular function to be performed within that interface. Bus names and interface names look like domain names with the components reversed, so the top level is at the beginning. If you are familiar with package names in Java, they take the same form, and with the same intent: to reduce the chance of name conflicts. D-Bus also includes an extensive, but not extensible, type system for encoding data in a message. This data represents arguments to the method call or signal, return results for a method return or the error name and message for an error. A message contains a sequence of 0, 1 or more items of such data, each of which can be of various types: “basic” types (e.g. integer, float, string) or “container” types (structs, arrays, dictionaries) which in turn contain more values, each of which in turn can be of a basic or (recursively) another container type. A “signature” is a string encoding the type of a value, or sequence of values; there is also a “variant” type, which means the type of the value is encoded dynamically with the value itself, separate from the signature. The importance of type signatures is really up to the particular programs that are trying to communicate: some might insist on values exactly matching the expected type signature, whereas others might be more lenient. For example, while the D-Bus type system specifies different basic types for different sizes of integers of signed or unsigned varieties, most Python code will probably not care about the specific distinctions, and treat all these values as of type “int”.
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Top functions reviewed by kandi - BETA
- dispatch message interface
- Matches a message .
- Attach an asyncio event loop .
- Define an interface class .
- Called when an object has been added .
- Unformat a rule .
- Return a string representation of the object .
- Append objects to the message .
- Call a function asynchronously .
- Parse the signature string .
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QUESTION
I've started a project where I need to actively (all the time) scan for BLE Devices. I'm on Linux, using Bluez 5.49 and I use Python to communicate with dbus 1.10.20). I' m able to start scanning, stop scanning with bluetoothctl and get the BLE Advertisement data through DBus (GetManagedObjects() of the BlueZ interface). The problem I have is when I let the scanning for many hours, dbus-deamon start to take more and more of the RAM and I'm not able to find how to "flush" what dbus has gathered from BlueZ. Eventually the RAM become full and Linux isn't happy.
So I've tried not to scan for the entire time, that would maybe let the Garbage collector do its cleanup. It didn't work.
I've edited the /etc/dbus-1/system.d/bluetooth.conf to remove any interface that I didn't need
...ANSWER
Answered 2021-Mar-04 at 06:29Indeed, Bluez flushes memory when you stop discovering. So in order to scan continuously you need start and stop the discovery all the time. I discover for 6 seconds, wait 1 second and then start discovering for 6 seconds again...and so on. If you check the logs you will see it deletes a lot of stuff when stopping discovery.
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Install dbussy
You can use dbussy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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