plotmanx 0.6.54

Chia plotting manager

Xman: another Chia plotting manager

This is a tool for managing Chia plotting operations. The tool runs on the plotting machine and provides the following functionality:

• Automatic spawning of new plotting jobs, possibly overlapping ("staggered") on multiple temp directories, rate-limited globally and by per-temp-dir limits.

• Rsync'ing of newly generated plots to a remote host (a farmer/harvester), called "archiving".

• Monitoring of ongoing plotting and archiving jobs, progress, resources used, temp files, etc.

• Control of ongoing plotting jobs (suspend, resume, plus kill and clean up temp files).

• Both an interactive live dashboard mode as well as command line mode tools.

• (very alpha) Analyzing performance statistics of past jobs, to aggregate on various plotting parameters or temp dir type.

Plotman is designed for the following configuration:

• A plotting machine with an array of tmp dirs, a single tmp2 dir, and an array of dst dirs to which the plot jobs plot. The dst dirs serve as a temporary buffer space for generated plots.

• A farming machine with a large number of drives, made accessible via an rsyncd module, and to be entirely populated with plots. These are known as the archive directories.

• Plot jobs are run with STDOUT/STDERR redirected to a log file in a configured directory. This allows analysis of progress (plot phase) as well as timing (e.g. for analyzing performance).

Functionality

Plotman tools are stateless. Rather than keep an internal record of what jobs have been started, Plotman relies on the process tables, open files, and logfiles of plot jobs to understand "what's going on". This means the tools can be stopped and started, even from a different login session, without loss of information. It also means Plotman can see and manage jobs started manually or by other tools, as long as their STDOUT/STDERR redirected to a file in a known logfile directory. (Note: The tool relies on reading the chia plot command line arguments and the format of the plot tool output. Changes in those may break this tool.)

Plot scheduling is done by waiting for a certain amount of wall time since the last job was started, finding the best (e.g. least recently used) tmp dir for plotting, and ensuring that job has progressed to at least a certain point (e.g., phase 2, subphase 5).

Plots are output to the dst dirs, which serve as a temporary buffer until they are rsync'd ("archived") to the farmer/harvester. The archiver does several things to attempt to avoid concurrent IO. First, it only allows one rsync process at a time (more sophisticated scheduling could remove this restriction, but it's nontrivial). Second, it inspects the pipeline of plot jobs to see which dst dirs are about to have plots written to them. This is balanced against how full the dst drives are in a priority scheme.

It is, obviously, necessary that your rsync bandwidth exceeds your plotting bandwidth. Given this, in normal operation, the dst dirs remain empty until a plot is finished, after which it is shortly thereafter picked up by the archive job. However, the decoupling provided by using dst drives as a buffer means that should the farmer/harvester or the network become unavailable, plotting continues uninterrupted.

Screenshot Overview

The screenshot shows some of the main features of Plotman.

The first line shows the status. The plotting status shows whether we just started a plot, or, if not, why not (e.g., stagger time, tmp directories being ready, etc.; in this case, the 1800s stagger between plots has not been reached yet). Archival status says whether we are currently archiving (and provides the rsync pid) or whether there are no plots available in the dst drives to archive.

The second line provides a key to some directory abbrevations used throughout. For tmp and dst directories, we assume they have a common prefix, which is computed and indicated here, after which they can be referred to (in context) by their unique suffix. For example, if we have tmp dirs /mnt/tmp/00, /mnt/tmp/01, /mnt/tmp/02, etc., we show /mnt/tmp as the prefix here and can then talk about tmp dirs 00 or 01 etc. The archive directories are the same except that these are paths on a remote host and accessed via an rsyncd module (see src/plotman/resources/plotman.yaml for details).

The next table shows information about the active plotting jobs. It is abbreviated to show the most and least recently started jobs (the full list is available via the command line mode). It shows various information about the plot jobs, including the plot ID (first 8 chars), the directories used, walltime, the current plot phase and subphase, space used on the tmp drive, pid, etc.

The next tables are a bit hard to read; there is actually a tmp table on the left which is split into two tables for rendering purposes, and a dst table on the right. The tmp tables show the phases of the plotting jobs using them, and whether or not they're ready to take a new plot job. The dst table shows how many plots have accumulated, how much free space is left, and the phases of jobs that are destined to write to them, and finally, the priority computed for the archive job to move the plots away.

The last table simply shows free space of drives on the remote harverster/farmer.

Finally, the last section shows a log of actions performed -- namely, plot and archive jobs initiated. This is the one part of the interactive tool which is stateful. There is no permanent record of these executed command lines, so if you start a new interactive plotman session, this log is empty.

Limitations and Issues

The system is tested on Linux only. Plotman should be generalizable to other platforms, but this is not done yet. Some of the issues around making calls out to command line programs (e.g., running df over ssh to obtain the free space on the remote archive directories) are very linux-y.

The interactive mode uses the curses library ... poorly. Keypresses are not received, screen resizing does not work, and the minimum terminal size is pretty big.

Plotman assumes all plots are k32s. Again, this is just an unimplemented generalization.

Many features are inconsistently supported between either the "interactive" mode or the command line mode.

There are many bugs and TODOs.

Plotman will always look for the plotman.yaml file within your computer at an OS-based default location. To generate a default plotman.yaml, run:

> plotman config generate

To display the current location of your plotman.yaml file and check if it exists, run:

> plotman config path

(See also).

Installation

Installation for Linux:

1. Plotman assumes that a functioning Chia installation is present on the system. Activate your chia environment by typing source /path/to/your/chia/install/activate.

2. Then, install Plotman using the following command:

    pip install --force-reinstall git+https://github.com/ericaltendorf/plotman@main
   

   With the new installation we can install this or with this

    python3 -m pip install plotmanx
   

3. Plotman will look for plotman.yaml within your computer at an OS-based default location. To create a default plotman.yaml and display its location, run the following command:

   plotman config generate
   

   The default configuration file used as a starting point is located here

4. That's it! You can now run Plotman by typing plotman version to verify its version. Run plotman --help to learn about the available commands.

Development note:

If you are forking Plotman, simply replace the installation step with pip install --editable .[dev] from the project root directory to install your version of plotman with test and development extras.

Maintenance

Overview

This document holds guidance on maintaining aspects of plotman.

Using docker

https://gist.github.com/snikch/ab15159e633d21619bdf6a056bec8830

The chia plots create CLI parsing code

In src/plotman/chia.py there is code copied from the chia plots create subcommand's CLI parser definition. When new versions of chia-blockchain are released, their interface code should be added to plotman. plotman commit 1b5db4e provides an example of adding a new version.

In many cases, copying code is a poor choice. It is believed that in this case it is appropriate since the chia code that plotman could import is not necessarily the code that is parsing the plotting process command lines anyways. The chia command could come from another Python environment, a system package, a .dmg, etc. This approach also offers future potential of using the proper version of parsing for the specific plot process being inspected. Finally, this alleviates dealing with the dependency on the chia-blockchain package. In generally, using dependencies is good. This seems to be an exceptional case.