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Debugging CUBE Containerized Services

Rudolph Pienaar edited this page Sep 17, 2020 · 64 revisions

Debugging CUBE Containerized Services

Abstract

CUBE is a complex software infrastructure, comprising the main core backend, as well as a constellation of ancillary services. Usually, if things break, the first place to start debugging is to make sure the ancillary services are all OK. This page documents a workflow that can be useful in debugging these CUBE services pfcon, pfioh, and pman within their respective containers.

Introduction

Due to the distributed and containerized nature of CUBE, debugging the ancillary services pfcon, pfioh, and pman can be particularly difficult. An initial strategy is to first debug these services outside of ChRIS in a non-containerized setup. If all works "outside" of ChRIS, then a next step is running the services in containers and talking to them from another container, and finally, calling the services via CUBE.

The workflow is to start the whole CUBE system containerized. Then, once all the services are up, to pause and take down each service in turn and restart in an interactive mode. This allows for much more responsive console response, and, if a source file mapping is effected into the container (see below), allows for interactive debugging.

In order to fully debug, the source code of the particular service needs to be volume mapped into its respective container in the correct place. This necessitates small transitory changes to the docker-compose.yml.

Preconditions

Map the service source repo tree into the relevant container

Let's assume we want to debug the pman source code in a running active pman container. Further, let's assume we have checked out the pman repository at the same tree level as the ChRIS_ultron_backend repo. Now, in the docker-compose.yml add the following line to the volumes: section of the pman_service:

pman

      - ../pman/pman/pman.py:/usr/local/lib/python3.8/dist-packages/pman/pman.py

Repeat for other services if/as necessary

pfioh

    - ../pfioh/pfioh/pfioh.py:/usr/local/lib/python3.8/dist-packages/pfioh/pfioh.py

pfcon

    - ../pfcon/pfcon/pfcon.py:/usr/local/lib/python3.8/dist-packages/pfcon/pfcon.py

Note that though these service comprise many files (as witnessed in their respective repos), for the overwhelming majority of debug cases you will be interested in only one file per service as shown above.

Add a break to processing flow

It is important to meaningfully pause/stop the flow of setup execution in CUBE. This should happen after the initial containerized services have all been launched but before real processing has started. In the current CUBE, this is best effected by starting the management script with a -p flag,

*make* -p

and when execution pauses, to remove and restart the relevant services (see below).

Add a breakpoint to charm.py

Additionally. add a breakpoint to charm.py with a pudb.set_trace() to a relevant line of code. At time of writing (May 2019), a good place to "break" is in the app_service_call() method of charm.py.

If tests run fine, but subsequent use cases, fail, then simply wait until CUBE has been fully instantiated.

Run the dockerized CUBE

From the CUBE repo dir, run (add a -d for debugging verbosity)

*make*

or, if you have local docker images:

*make* local

Debug setup

Create an "environment"

The simplest way to debug is to open four terminals, say in a grid. In each terminal cd to the CUBE source repo.

Each terminal will be used to run a specific service.

┌────────────────────┐                               ┌─────────────────────┐
│ terminal 1 -- CUBE │                               │ terminal 2 -- pfcon │
├────────────────────┴─────────────────────────────┐ ├─────────────────────┴────────────────────────────┐
│ $>cd $CUBE_source_repo                           │ │ $>cd $CUBE_source_repo                           │
└──────────────────────────────────────────────────┘ └──────────────────────────────────────────────────┘

┌─────────────────────┐                              ┌─────────────────────┐
│ terminal 3 -- pfioh │                              │ terminal 2 -- pman  │
├─────────────────────┴────────────────────────────┐ ├─────────────────────┴────────────────────────────┐
│ $>cd $CUBE_source_repo                           │ │ $>cd $CUBE_source_repo                           │
└──────────────────────────────────────────────────┘ └──────────────────────────────────────────────────┘

Obviously don't type literally $CUBE_source_repo in the above. Type the path of where your CUBE repo lives. Now, first we have to start up CUBE and tell it to pause mid-instantiation:

┌────────────────────┐                                 
│ terminal 1 -- CUBE │                                 
├────────────────────┴───────────────────────────────────┐   
│ $>*unmake* ; sudo rm -fr FS ; rm -fr FS ; *make* -i -p │   
└────────────────────────────────────────────────────────┘   

┌─────────────────────┐                               
│ terminal 2 -- pfcon │                               
├─────────────────────┴────────────────────────────┐  
│ $>                                               │  
└──────────────────────────────────────────────────┘  

┌─────────────────────┐                              ┌─────────────────────┐
│ terminal 3 -- pfioh │                              │ terminal 2 -- pman  │
├─────────────────────┴────────────────────────────┐ ├─────────────────────┴────────────────────────────┐
│ $>                                               │ │ $>                                               │
└──────────────────────────────────────────────────┘ └──────────────────────────────────────────────────┘

Stop services and restart in interactive mode

Let terminal 1 do its thing. Eventually it will PAUSE.

┌──────────────────────────────────────┐
│ Thu 17 Sep 15:44:24 EDT 2020 [titan] │
├──────────────────────────────────────┴─────────────────────────────────────────┐
│                   9: Pause for manual restart of services?                     │▒
├────────────────────────────────────────────────────────────────────────────────┤▒
│Pausing... hit *ANY* key to continue                                            │▒
└────────────────────────────────────────────────────────────────────────────────┘▒
 ▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒

Now we are going to use docker-compose to stop and restart each of our ancillary services in their respective terminals in interactive mode. This allows us to have realtime log monitoring. There is a specific order that is required.

First we stop/restart pfcon. Once it is up, we can then stop/restart pfioh and pman in any order (or even together).

Some quick prelims -- we need to make sure that CUBE can still communicate with the services

Stop/restart pfcon

                                                     ┌─────────────────────┐                                 
                                                     │ terminal 2 -- pfcon │                                 
                                                     ├─────────────────────┴────────────────────────────┐
                                                     │ $> make.sh -s -r pfcon                           │
                                                     └──────────────────────────────────────────────────┘   

WAIT until pfcon is back up....

Now stop/restart pfioh and pman

┌─────────────────────┐                              ┌─────────────────────┐
│ terminal 3 -- pfioh │                              │ terminal 2 -- pman  │
├─────────────────────┴────────────────────────────┐ ├─────────────────────┴────────────────────────────┐
│ $>make.sh -s -r pfioh                            │ │ $>make.sh -s -r pman                             │
└──────────────────────────────────────────────────┘ └──────────────────────────────────────────────────┘


## Simulate CUBE calls

### Set some convenience environment variables

```bash
export HOST_IP=$(ip route | grep -v docker | awk '{if(NF==11) print $9}' | head -n 1)
export HOST_PORT=8000

hello

Assuming satisfied preconditions, let's say hello to pfcon. It will in turn ask each of pfioh and pman hello and return the response.

pfurl --verb POST --raw \
        --http ${HOST_IP}:5005/api/v1/cmd \
        --httpResponseBodyParse \
        --jsonwrapper 'payload' \
        --msg \
'{  "action": "hello",
    "meta": {
                "askAbout":     "sysinfo",
                "echoBack":      "Hi there!",
                "service":       "host"
            }
}' --quiet --jsonpprintindent 4

Simulate an FS plugin

In this call, be sure that the HOST_IP env variable is set correctly.

./pfurl --verb POST --raw --http ${HOST_IP}:5005/api/v1/cmd \
        --httpResponseBodyParse --jsonwrapper 'payload'     \
        --msg '
        {   "action": "coordinate",
            "threadAction":     true,
            "meta-store": {
                        "meta":         "meta-compute",
                        "key":          "jid"
            },

            "meta-data": {
                "remote": {
                        "key":          "%meta-store"
                },
                "localSource": {
                        "path":         "/etc"
                },
                "localTarget": {
                        "path":         "/usr/users/test/foo/feed_90/simplefsapp_90/data",
                        "createDir":    true
                },
                "specialHandling": {
                        "op":           "plugin",
                        "cleanup":      true
                },
                "transport": {
                    "mechanism":    "compress",
                    "compress": {
                        "encoding": "none",
                        "archive":  "zip",
                        "unpack":   true,
                        "cleanup":  true
                    }
                },
                "service":              "host"
            },

            "meta-compute":  {
                "cmd":      "$execshell $selfpath/$selfexec /share/outgoing --saveinputmeta --saveoutputmeta --dir ./",
                "auid":     "rudolphpienaar",
                "jid":      "89",
                "threaded": true,
                "container":   {
                        "target": {
                            "image":            "fnndsc/pl-simplefsapp",
                            "cmdParse":         true
                        },
                        "manager": {
                            "image":            "fnndsc/swarm",
                            "app":              "swarm.py",
                            "env":  {
                                "meta-store":   "key",
                                "serviceType":  "docker",
                                "shareDir":     "%shareDir",
                                "serviceName":  "89"
                            }
                        }
                },
                "service":              "host"
            }
        }
'

Simulate a DS plugin

In this call, be sure that the HOST_IP env variable is set correctly.

pfurl --verb POST --raw --http ${HOST_IP}:5005/api/v1/cmd \
      --httpResponseBodyParse --jsonwrapper 'payload'     \
      --msg '
        {   "action": "coordinate",
            "threadAction":     true,
            "meta-store": {
                        "meta":         "meta-compute",
                        "key":          "jid"
            },

            "meta-data": {
                "remote": {
                        "key":          "%meta-store"
                },
                "localSource": {
                        "path":         "/neuro/users/rudolphpienaar/Pictures"
                },
                "localTarget": {
                        "path":         "/home/rudolph/tmp/Pictures",
                        "createDir":    true
                },
                "specialHandling": {
                        "op":           "plugin",
                        "cleanup":      true
                },
                "transport": {
                    "mechanism":    "compress",
                    "compress": {
                        "encoding": "none",
                        "archive":  "zip",
                        "unpack":   true,
                        "cleanup":  true
                    }
                },
                "service":              "host"
            },

            "meta-compute":  {
                "cmd":      "$execshell $selfpath/$selfexec --prefix test- --sleepLength 0 /share/incoming /share/outgoing",
                "auid":     "rudolphpienaar",
                "jid":      "89",
                "threaded": true,
                "container":   {
                        "target": {
                            "image":            "fnndsc/pl-simpledsapp",
                            "cmdParse":         true
                        },
                        "manager": {
                            "image":            "fnndsc/swarm",
                            "app":              "swarm.py",
                            "env":  {
                                "meta-store":   "key",
                                "serviceType":  "docker",
                                "shareDir":     "%shareDir",
                                "serviceName":  "89"
                            }
                        }
                },
                "service":              "host"
            }
        }
'

Debugging without using containers

Running all the services containerized can result in a lag in debugging, mostly because log files sometimes need to be fully flushed. At times, it is better to run the services non-containerized.

In such instances, add a breakpoint using pudb.set_trace() typically in charm.py. Then start the CUBE dev environment in a containerized fashion:

sudo rm -fr /hostFS/storeBase/* ; sudo rm -fr /usr/users/* ; *make*

When execution stops at the breakpoint, kill all the ancillary containers

dkrm pfcon
dkrm pfioh
dkrm pman

where dkrm is actually a function I have in .bashrc

dkrm ()
{
    NAME=$1;
    ID=$(dkl | grep $NAME | awk '{print $1}');
    docker stop $ID && docker rm -vf $ID
}

and then restart these services directly as per instructions above.

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