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How to configure Aiida

Note: These instructions should work for setting up AiiDA v1.6.4 on x86 LC production systems (like flash, quartz, etc.). You may also be interested in instructions for v1.6.4 setup on maya6 and older versions of setup instructions for v1.5.2 and v1.3

Note: The machine from which the AiiDA daemon runs (where the user works while submitting calculations) is often distinct from the machine where the calculations managed by AiiDA will actually run. For example, you may choose to set up AiiDA on flash in order to run quantum espresso jobs on quartz.

For more info, see the full AiiDA docs.

Getting started with AiiDA

Grabbing your credentials

First, log in to flash. From there (and most other CZ machines), you'll find the credentials necessary to configure AiiDA in workspace in the directory /usr/workspace/<lcusername>/.lciaas/cz-<lcusername>. You should see subdirectories for rabbit-mq and postgresql, each with a *.info file. (These credential files exist after you've requested AiiDA resources from LC's Workflow Enablement Group.)

Note that for groups, credentials will be stored in /usr/workspace/<lcgroupname>/.lciaas/cz-<lcgroupname>.

Cloning and basic AiiDA Setup

To set up AiiDA on flash, we'll first clone the repo, check out the desired version (here v1.6.4), create a virtual environment, update pip, and install AiiDA.

To clone the repo, run

``` janeh@flash21:/usr/workspace/janeh/August2021$ git clone Cloning into 'aiida-core'...

remote: Enumerating objects: 106640, done. remote: Counting objects: 100% (2486/2486), done. remote: Compressing objects: 100% (1092/1092), done. remote: Total 106640 (delta 1432), reused 2197 (delta 1242), pack-reused 104154 Receiving objects: 100% (106640/106640), 69.72 MiB | 33.83 MiB/s, done. Resolving deltas: 100% (80748/80748), done. Updating files: 100% (1227/1227), done. ```

Enter the newly created directory aiida-core and create a branch on version 1.6.4 (You can see other versions with git tag.):

janeh@flash21:/usr/workspace/janeh/August2021$ cd aiida-core/ janeh@flash21:/usr/workspace/janeh/August2021/aiida-core$ git checkout v1.6.4 -b v1.6.4 Switched to a new branch 'v1.6.4'

Create a virtual environment (here named "aiidavenv"):

janeh@flash21:/usr/workspace/janeh/August2021/aiida-core$ python3 -m venv aiidavenv

and then activate that environment:

janeh@flash21:/usr/workspace/janeh/August2021/aiida-core$ source aiidavenv/bin/activate (aiidavenv) janeh@flash21:/usr/workspace/janeh/August2021/aiida-core$

Every time you want to work with AiiDA, you'll have to activate your AiiDA virtual environment. Notice that activating your environment adds the name of your environment before the command prompt. It also changes the default binaries for python and pip to be those found in your virtual environment. For example, when you run which pip, you should see <path to where you first ran "git clone" above>/aiida-core/aiidavenv/bin/pip.

Next, upgrade pip:

(aiidavenv) janeh@flash21:/usr/workspace/janeh/August2021/aiida-core$ pip install --upgrade pip Collecting pip Downloading (1.6MB) 100% |████████████████████████████████| 1.6MB 2.6MB/s Installing collected packages: pip Found existing installation: pip 18.1 Uninstalling pip-18.1: Successfully uninstalled pip-18.1 Successfully installed pip-21.2.2

You're now ready to install aiida-core with pip install -e <path to aiida-core directory>:

``` (aiidavenv) janeh@flash21:/usr/workspace/janeh/August2021/aiida-core$ pip install -e . Obtaining file:///usr/WS1/janeh/August2021/aiida-core

Installing build dependencies ... done Getting requirements to build wheel ... done Preparing wheel metadata ... done (…) Successfully installed Mako-1.1.4 MarkupSafe-2.0.1 aiida-core-1.6.4 aio-pika-6.8.0 aiormq-3.3.1 aldjemy-0.9.1 alembic-1.6.5 archive-path-0.2.1 async-generator-1.10 attrs-21.2.0 backcall-0.2.0 bcrypt-3.2.0 cffi-1.14.6 circus-0.17.1 click-7.1.2 click-completion-0.5.2 click-config-file-0.6.0 click-spinner-0.1.10 configobj-5.0.6 cryptography-3.4.7 decorator-5.0.9 deprecation-2.1.0 django-2.2.24 ete3-3.1.2 graphviz-0.17 idna-3.2 importlib-metadata-4.6.3 ipython-7.26.0 ipython-genutils-0.2.0 jedi-0.18.0 jinja2-2.11.3 jsonschema-3.2.0 kiwipy-0.7.4 matplotlib-inline-0.1.2 multidict-5.1.0 nest-asyncio-1.4.3 numpy-1.21.1 packaging-21.0 pamqp-2.3.0 paramiko-2.7.2 parso-0.8.2 pexpect-4.8.0 pgsu-0.2.0 pickleshare-0.7.5 plumpy-0.19.0 prompt-toolkit-3.0.19 psutil-5.8.0 psycopg2-binary-2.8.6 ptyprocess-0.7.0 pycparser-2.20 pygments-2.9.0 pynacl-1.4.0 pyparsing-2.4.7 pyrsistent-0.18.0 python-dateutil-2.8.2 python-editor-1.0.4 pytray-0.3.2 pytz-2019.3 pyyaml-5.1.2 pyzmq-22.1.0 reentry-1.3.2 shellingham-1.4.0 shortuuid-1.0.1 simplejson-3.17.3 six-1.16.0 sqlalchemy-1.3.24 sqlalchemy-utils-0.36.5 sqlparse-0.4.1 tabulate-0.8.9 tornado-6.1 tqdm-4.62.0 traitlets-5.0.5 typing-extensions- tzlocal-2.1 upf-to-json-0.9.3 wcwidth-0.2.5 wrapt-1.11.2 yarl-1.6.3 zipp-3.5.0 ```

Creating a profile

You'll create your AiiDA profile using the credentials you found in /usr/workspace/<lcusername>/.lciaas/cz-<lcusername>. Note that postgresql is the database, relevant when you are queried about your database host, port, etc; rabbitmq is the broker, relevant when you are queried for a broker username, password, etc.

Now, run verdi setup --profile <your name> and provide the requested information as shown below.

(aiidavenv) janeh@flash21:~$ verdi setup --profile jane Info: enter "?" for help Info: enter "!" to ignore the default and set no value Email Address (for sharing data): First name: Jane Last name: Herriman Institution: LLNL Database engine (postgresql_psycopg2) [postgresql_psycopg2]: Database backend (django, sqlalchemy) [django]: Database host: Database port [5432]: 32212 Database name: aiida Database username: janeh Database password: # Enter the password from `` Broker protocol (amqp, amqps) [amqp]: amqps Broker username [guest]: janeh Broker password [guest]: # Enter the password from `` Broker host []: Broker port [5672]: 32200 Broker virtual host name []: aiida Repository directory [/g/g0/janeh/.aiida/repository/jane]: /usr/workspace/janeh/August2021/aiida-core Success: created new profile `jane`. Info: migrating the database. Success: database migration completed.

You can see the profile has been successfully created with verdi profile list:

(aiidavenv) janeh@flash21:~$ verdi profile list Info: configuration folder: /g/g0/janeh/.aiida * jane

To complete setting up the profile, edit the config file. Open it with your favorite text editor

vi ~/.aiida/config.json

And add broker_parameters after the broker_virtual_host field.

"broker_port": 32200, "broker_virtual_host": "aiida", "broker_parameters": { "no_verify_ssl": "1", "cafile": "/etc/pki/tls/cert.pem" },


Now test some verdi commands to see if your AiiDA setup has been successful.

Try running verdi status

(aiidavenv) janeh@flash21:~$ verdi status verdi ✔ config dir: /g/g0/janeh/.aiida ✔ profile: On profile jane ✔ repository: /usr/workspace/janeh/August2021/aiida-core profile list ✔ postgres: Connected as ✔ rabbitmq: Connected as amqps://janeh:<password> ⏺ daemon: The daemon is not running

Notice that the verdi daemon is not running. You can start it (verdi daemon start 1) and change the output of verdi status as follows:

(aiidavenv) janeh@flash21:~$ verdi daemon start 1 Starting the daemon... RUNNING (aiidavenv) janeh@flash21:/usr/workspace/janeh/August2021/aiida-core$ verdi status ✔ config dir: /g/g0/janeh/.aiida ✔ profile: On profile jane ✔ repository: /usr/workspace/janeh/August2021/aiida-core ✔ postgres: Connected as ✔ rabbitmq: Connected as amqps://janeh:<password> ✔ daemon: Daemon is running as PID 19575 since 2021-08-03 14:59:13

You should also be able to open the verdi shell:

``` (aiidavenv) janeh@flash21:~$ verdi shell Python 3.7.2 (default, Feb 26 2019, 08:59:10) Type 'copyright', 'credits' or 'license' for more information IPython 7.26.0 -- An enhanced Interactive Python. Type '?' for help.

In [1]: ```

Set up and configure a computer

Set up computer

First, create a dedicated directory where aiida metadata will live. (You’ll tell AiiDA how to find this directory via the work_dir field in computer.yml, below.) You might run mkdir /usr/workspace/<your_username>/aiida-data:

mkdir /usr/workspace/janeh/aiida-data

Next, create a file computer.yml with the following content:

label: flashpdebug hostname: "flash" description: "" transport: ssh scheduler: "slurm" work_dir: "/usr/workspace/janeh/aiida-data" mpirun_command: "srun -n {tot_num_mpiprocs}" mpiprocs_per_machine: "2" prepend_text: | #SBATCH -p pdebug append_text: " " shebang: "#!/bin/bash"

Here, we are setting up flash as a computer that can run simulations configured using AiiDA on flash. Note that AiiDA can submit calculations to a machine other than the machine where AiiDA is running. If you wanted to run simulations on quartz while configuring those jobs via AiiDA on flash, you need to replace "flash" with "quartz" in both the label and hostname above. Changing the #SBATCH command under prepend text to #SBATCH -p pbatch would cause this computer to run jobs in the batch queue. (These options aside, to get the above example of computer.yml to work, you'll minimally need to update the work_dir to give the path to the directory you created for AiiDA data.)

To set up the computer described in the above yaml file, run verdi computer setup --config computer.yml:

(aiidavenv) janeh@flash21:~$ verdi computer setup --config computer.yml Success: Computer<22> flashpdebug created Info: Note: before the computer can be used, it has to be configured with the command: Info: verdi computer configure ssh flashpdebug

Alternatively, you can set up a computer manually by running verdi computer setup:

(aiidavenv) janeh@flash21:~$ verdi computer setup Info: enter "?" for help Info: enter "!" to ignore the default and set no value Computer label: flashpdebug Hostname: flash Description []: Transport plugin: ssh Scheduler plugin: slurm Shebang line (first line of each script, starting with #!) [#!/bin/bash]: Work directory on the computer [/scratch/{username}/aiida/]: /usr/workspace/janeh/aiida-data Mpirun command [mpirun -np {tot_num_mpiprocs}]: srun -n {tot_num_mpiprocs} Default number of CPUs per machine: 2

If you're setting up a computer manually, a file will open after you enter the above. Feel free to save without adding anything! Here, I choose to add #SBATCH -p pdebug in the “prepend” section to so that jobs submitted to this computer will only use the debug queue:



= PREPEND_TEXT: if there is any bash commands that should be prepended to

= the executable call in all submit scripts for this computer, type that

= between the equal signs below and save the file.


SBATCH -p pdebug


= All lines that start with #= will be ignored.



After closing this file, a second file will open, which I chose to leave blank and save:



= APPEND_TEXT: if there is any bash commands that should be appended to

= the executable call in all submit scripts for this computer, type that

= between the equal signs below and save the file.



= All lines that start with #= will be ignored.



You should then get a message of the form

Success: Computer<4> flashpdebug created Info: Note: before the computer can be used, it has to be configured with the command: Info: verdi computer configure ssh flashdebug

Configure computer

Similarly, you can configure your computer with a script or manually at the command line. To do this via a script, create a file conf.yml for computer flashpdebug with the following form:


username: "janeh" port: 622 look_for_keys: true key_filename: "/g/g0/janeh/.ssh/id_rsa" timeout: 60 allow_agent: true proxy_command: "" compress: true gss_auth: false gss_kex: false gss_deleg_creds: false gss_host: "flash" load_system_host_keys: true key_policy: "RejectPolicy" use_login_shell: true safe_interval: 10.0 ```

but replace the field username with your LC username and key_filename with the path to your id_rsa file, both in quotation marks. If you'll be running calculations on a machine other than quartz, also update gss_host.

After updating, run verdi computer configure ssh flashdebug --config conf.yml:

(aiidavenv) janeh@flash21:~$ verdi computer configure ssh flashpdebug --config conf.yml Info: Configuring computer flashpdebug for user Success: flashpdebug successfully configured for

Configuring the same computer manually at the command line would involve running verdi computer configure ssh flashdebug and then entering information as below (again using your own LC username and SSH key file):

(aiidavenv) janeh@flash21:~$ verdi computer configure ssh flashpdebug Info: enter "?" for help Info: enter "!" to ignore the default and set no value User name [janeh]: Port number [22]: 622 Look for keys [True]: SSH key file []: /g/g0/janeh/.ssh/id_rsa Connection timeout in s [60]: Allow ssh agent [True]: SSH proxy command []: Compress file transfers [True]: GSS auth [False]: GSS kex [False]: GSS deleg_creds [False]: GSS host [flash]: Load system host keys [True]: Key policy (RejectPolicy, WarningPolicy, AutoAddPolicy) [RejectPolicy]: Use login shell when executing command [True]: Connection cooldown time (s) [30.0]: 10.0 Info: Configuring computer flashdebug for user Success: flashdebug successfully configured for

Test computer

To make sure this computer is running, execute verdi computer test flashpdebug and make sure all tests pass:

(aiidavenv) janeh@flash21:~$ verdi computer test flashpdebug Info: Testing computer<flashpdebug> for user<>... * Opening connection... [OK] * Checking for spurious output... [OK] * Getting number of jobs from scheduler... [OK]: 12 jobs found in the queue * Determining remote user name... [OK]: janeh * Creating and deleting temporary file... [OK] Success: all 5 tests succeeded

Configure quantum espresso

Install plug ins for quantum espresso

In order to use quantum espresso with AiiDA, you'll want to install the plugin for quantum espresso with pip install aiida-quantumespresso.

Before installing aiida-quantumespresso, running verdi plugin list aiida.calculations will show something like:

``` (aiidavenv) janeh@flash21:~$ verdi plugin list aiida.calculations Registered entry points for aiida.calculations: * arithmetic.add * core.transfer * templatereplacer

Info: Pass the entry point as an argument to display detailed information ```

Install via pip install aiida-quantumespresso:

(aiidavenv) janeh@flash21:~$ pip install aiida-quantumespresso Collecting aiida-quantumespresso Downloading aiida_quantumespresso-3.4.2-py3-none-any.whl (354 kB) |████████████████████████████████| 354 kB 11.6 MB/s (...) Successfully installed PyCifRW-4.4.3 aiida-pseudo-0.6.3 aiida-quantumespresso-3.4.2 ase-3.22.0 charset-normalizer-2.0.4 cycler-0.10.0 elementpath-2.2.3 future-0.18.2 importlib-resources-5.2.2 kiwisolver-1.3.1 matplotlib-3.4.3 monty-2021.8.17 mpmath-1.2.1 networkx-2.6.2 palettable-3.3.0 pandas-1.3.2 pillow-8.3.1 pint-0.16.1 plotly-5.2.2 pymatgen-2022.0.11 pymysql-0.9.3 qe-tools-2.0.0rc2 requests-2.26.0 ruamel.yaml-0.17.13 ruamel.yaml.clib-0.2.6 scipy-1.7.1 seekpath-1.9.7 spglib-1.16.2 sympy-1.8 tenacity-8.0.1 uncertainties-3.1.6 urllib3-1.26.6 xmlschema-1.7.0 zipp-3.5.0

After installing aiida-quantumespresso, run reentry scan at the command line. verdi plugin list aiida.calculations should now show a long list of quantum espresso related plugins, including

``` (aiidavenv) janeh@flash21:~$ reentry scan (aiidavenv) janeh@flash21:~$ verdi plugin list aiida.calculations Registered entry points for aiida.calculations: * arithmetic.add * core.transfer * quantumespresso.cp * quantumespresso.create_kpoints_from_distance * quantumespresso.dos * quantumespresso.epw * quantumespresso.matdyn * quantumespresso.namelists * quantumespresso.neb * * quantumespresso.pp * quantumespresso.projwfc * * quantumespresso.pw2gw * quantumespresso.pw2wannier90 * quantumespresso.pwimmigrant * quantumespresso.q2r * quantumespresso.seekpath_structure_analysis * templatereplacer

Info: Pass the entry point as an argument to display detailed information ```

We'll use the plugin in the next section.

Set up quantum espresso code

To set up quantum espresso with a script, create file code.yml with the following content

label: pw description: "quantum_espresso" input_plugin: "" on_computer: true remote_abs_path: “/usr/workspace/janeh/pw.x" computer: flashpdebug prepend_text: | module purge module load mkl impi intel append_text: ""

replacing the field remote_abs_path with the path to your pw.x executable. After running verdi code setup --config code.yml you should see something like:

(aiidavenv) janeh@flash21:~$ verdi code setup --config code.yml Success: Code<690> pw@flashpdebug created

If you'd prefer manual configuration, you can simply run verdi code setup and then provide information for the following prompts, as below:

(aiidavenv) janeh@flash21:~$ verdi code setup Info: enter "?" for help Info: enter "!" to ignore the default and set no value Label: pw Description []: Default calculation input plugin: Installed on target computer? [True]: Computer: flashdebug Remote absolute path: /usr/workspace/janeh/pw.x

After entering the above, a text file will open. Add the following module lines to the “prepend text” section:



= PREPEND_TEXT: if there is any bash commands that should be prepended to

= the executable call in all submit scripts for this code, type that

= between the equal signs below and save the file.


module purge module load intel mkl impi


= All lines that start with #= will be ignored.



After saving and closing this file, another file will open, prompting you to append text. Leave this file blank and save and close it:




= APPEND_TEXT: if there is any bash commands that should be appended to

= the executable call in all submit scripts for this code, type that

= between the equal signs below and save the file.



= All lines that start with #= will be ignored.



and then you’ll get a message like:

Success: Code<4> pw@flashpdebug created

Install pseudo potentials

First install the plugin aiida-pseudo with pip install aiida-pseudo:

(aiidavenv) janeh@flash21:~$ pip install aiida-pseudo Collecting aiida-pseudo Using cached aiida_pseudo-0.6.2-py3-none-any.whl (73 kB) Requirement already satisfied: sqlalchemy<1.4 in ./aiidavenv/lib/python3.7/site-packages (from aiida-pseudo) (1.3.24) Requirement already satisfied: click~=7.0 in ./aiidavenv/lib/python3.7/site-packages (from aiida-pseudo) (7.1.2) Collecting requests~=2.20 Downloading requests-2.26.0-py2.py3-none-any.whl (62 kB) |████████████████████████████████| 62 kB 697 kB/s (…) Successfully installed aiida-pseudo-0.6.2 certifi-2021.5.30 charset-normalizer-2.0.4 pint-0.16.1 requests-2.26.0 urllib3-1.26.6

Once you have aiida-pseudo, you can use it to install pseudo potentials via aiida-pseudo install <pseudo potential family>. For example, you might run aiida-pseudo install sssp or aiida-pseudo install pseudo-dojo. Before installing a particular pseudo potential family, though, make sure that your environment searches for certificates in the right place by running export REQUESTS_CA_BUNDLE=/etc/pki/tls/cert.pem:

(aiidavenv) janeh@flash21:~$ export REQUESTS_CA_BUNDLE=/etc/pki/tls/cert.pem (aiidavenv) janeh@flash21:~$ aiida-pseudo install pseudo-dojo Info: downloading selected pseudopotentials archive... [OK] Info: downloading selected pseudopotentials metadata archive... [OK] Info: unpacking archive and parsing pseudos... [OK] Info: unpacking metadata archive and parsing metadata... [OK] Success: installed `PseudoDojo/0.4/PBE/SR/standard/psp8` containing 72 pseudopotentials

You can then run aiida-pseudo list to see which pseudo potential families have been installed:

``` (aiidavenv) janeh@flash21:~$ aiida-pseudo list Label Type string Count

PseudoDojo/0.4/PBE/SR/standard/psp8 72 SSSP/1.1/PBE/efficiency 85 ```

Run quantum espresso calculation

How to run a test job

You should now be able to run a test calculation via

aiida-quantumespresso calculation launch pw -X pw@flashpdebug -F SSSP/1.1/PBE/efficiency

For a successful job, you should see output similar to the following:

``` (aiidavenv) janeh@flash21:~$ aiida-quantumespresso calculation launch pw -X pw@flashpdebug -F SSSP/1.1/PBE/efficiency Running a PwCalculation... PwCalculation<777> terminated with state: finished [0]

output_band BandsData<780> output_parameters Dict<782> output_trajectory TrajectoryData<781> remote_folder RemoteData<778> retrieved FolderData<779> ```

See also the docs on using the aiida-quantumespresso plugin.

If you run verdi process list -a, the most recently run calculation will show up at the bottom of the list, with its identifying “pk” number in the leftmost column:

``` (aiidavenv) janeh@flash21:~$ verdi process list -a PK Created Process label Process State Process status

777 13m ago PwCalculation ⏹ Finished [0] ```

You can then take that number and run verdi process show <pk> to learn more about the process.

``` (aiidavenv) janeh@flash21:~$ verdi process show 777 Property Value

type PwCalculation state Finished [0] pk 777 uuid 6b35a154-5ec6-4830-a276-bf854d3ebd86 label description ctime 2021-08-24 20:58:14.221220+00:00 mtime 2021-08-24 20:59:09.340225+00:00 computer [22] flashpdebug

Inputs PK Type

pseudos Si 660 UpfData code 763 Code kpoints 775 KpointsData parameters 776 Dict structure 90 StructureData

Outputs PK Type

output_band 780 BandsData output_parameters 782 Dict output_trajectory 781 TrajectoryData remote_folder 778 RemoteData retrieved 779 FolderData ```

Running a job from a script

The pk values obtained from verdi process show... can be used to write a script containing info such as 

``` from aiida.orm import load_node from aiida.engine import submit

PwCalculation = CalculationFactory('')

inputs = { 'code': load_code('pw@flashpdebug'), 'structure': load_node(90), 'pseudos': { 'Si': load_node(660), }, 'parameters': load_node(776), 'kpoints': load_node(775), 'metadata': { 'options': { 'resources': { 'num_machines': 1, }, 'max_wallclock_seconds': 500, 'withmpi': True } } } ```

which can then be run via 

verdi run

You can again learn the pk of this number by running verdi process list -a

Troubleshooting a job

Once you have the pk number of a job, you can learn more about the calculation and its outputs via 

``` verdi process show

verdi process report

verdi calcjob gotocomputer ```

The last option takes you to a directory where you’ll see the outputs from the job and the script actually submitted to slurm to run the desired calculations. You can also dig into the details of various inputs to the calculation via, for example, verdi data dict show <pk of theparametersDict> where the pk associated with parameters is learned from verdi process show <pk>.

If necessary, you can kill a process with verdi process kill <pk>.


QE version errors

Error messages Both the stdout and XML output files could not be read or parsed.

parser returned exit code<305>: Both the stdout and XML output files could not be read or parsed.

Potential fix You may be using a version of Quantum Espresso that isn't supported by AiiDA. For example, the messages below were generated using QE version 6.6 before it was supported. Changing to a different version of Quantum espresso may resolve these error messages.

More details +-> WARNING at 2020-08-24 16:44:52.714821+00:00 | key 'symmetries' is not present in raw output dictionary +-> ERROR at 2020-08-24 16:44:52.770446+00:00 | ERROR_OUTPUT_STDOUT_INCOMPLETE +-> ERROR at 2020-08-24 16:44:52.774858+00:00 | Both the stdout and XML output files could not be read or parsed. +-> ERROR at 2020-08-24 16:44:52.777151+00:00 | parser returned exit code<305>: Both the stdout and XML output files could not be read or parsed.

Daemon restart needed

Error messages aiida.common.exceptions.MissingEntryPointError: Entry point '' not found in group 'aiida.parsers'. Try running `reentry scan` to update the entry point cache.

Potential fix Restart daemon  (assuming reentry scan does not fix the problem).

More details

Below is an example of full output from verdi process report <pk>

``` $ verdi process report 85 *** 85: None *** (empty scheduler output file) *** Scheduler errors: The following modules were not unloaded: (Use "module --force purge" to unload all):

1) intel/19.0.4 2) mvapich2/2.3 3) texlive/2016 4) StdEnv

Lmod is automatically replacing "mvapich2/2.3" with "impi/2019.8".

*** 1 LOG MESSAGES: +-> REPORT at 2020-09-09 21:37:14.776260+00:00 | [85|PwCalculation|on_except]: Traceback (most recent call last): | File "/g/g12/keilbart/aiida_core/aiidavenv/lib/python3.6/site-packages/plumpy/", line 220, in execute | result = self.run_fn(*self.args, **self.kwargs) | File "/g/g12/keilbart/aiida_core/aiida/engine/processes/calcjobs/", line 262, in parse | exit_code = execmanager.parse_results(self, retrieved_temporary_folder) | File "/g/g12/keilbart/aiida_core/aiida/engine/daemon/", line 412, in parse_results | parser_class = process.node.get_parser_class() | File "/g/g12/keilbart/aiida_core/aiida/orm/nodes/process/calculation/", line 489, in get_parser_class | return ParserFactory(parser_name) | File "/g/g12/keilbart/aiida_core/aiida/plugins/", line 158, in ParserFactory | entry_point = BaseFactory(entry_point_group, entry_point_name) | File "/g/g12/keilbart/aiida_core/aiida/plugins/", line 46, in BaseFactory | return load_entry_point(group, name) | File "/g/g12/keilbart/aiida_core/aiida/plugins/", line 202, in load_entry_point | entry_point = get_entry_point(group, name) | File "/g/g12/keilbart/aiida_core/aiida/plugins/", line 264, in get_entry_point | 'the entry point cache.'.format(name, group) | aiida.common.exceptions.MissingEntryPointError: Entry point '' not found in group 'aiida.parsers'. Try running reentry scan to update the entry point cache. ```

Setting up a code or computer

Error messages psycopg2.OperationalError: SSL SYSCALL error: EOF detected

Potential fix Try adding the code or computer again. This error message appeared intermittently for me but would then go away on a new attempt, without changing what I was doing.

Jobs stuck in "Created" state

Error messages This issue doesn't come with explicit error messages. Instead, you will see via verdi process list -a that your job is "Created" indefinitely: ``` (aiidavenv) janeh@flash21:~$ verdi process list PK Created Process label Process State Process status

93 54D ago PwCalculation ⏹ Created `` In this case,verdi process report 93will not show any error messages in the log. If you tryverdi calcjob gotocomputer 93`, however, you'll see this will not work:

(aiidavenv) janeh@flash21:~$ verdi calcjob gotocomputer 93 Critical: no remote work directory for this calcjob, maybe the daemon did not submit it yet

Potential fix It's possible that there is something wrong with your rabbitmq configuration. If running verdi status shows that you are connected to rabbitmq, try restarting the daemon and resubmitting your calculation.

If newly submitted jobs continue to enter and persist in "Created", there is probably another verdi process somewhere that is interfering with the verdi daemon you're trying to use to submit this calculation. Start by checking for stale verdi processes on your current login node by running ps -u <lc username>. This should show only two entries labeled verdi. If there are more, kill all verdi processes and then restart the daemon (or simply kill the stale processes, if you're able to distinguish them from the active verdi processes). You will also want to use ps -u <lc username> to identify (and subsequently kill) all stale verdi processes living on any system that connects to the rabbitmq instance you are using. For example, if you have only used one instance of rabbitmq and have run AiiDA on quartz and on flash, you will want to kill stale verdi processes on all quartz and flash login nodes. Reach out to the LC Hotline if you need help with this.

Jobs stuck in “Waiting for transport task: upload” state

Error messages Running verdi process report <pk> gives a FileNotFound error of the form “FileNotFoundError: [Errno 2] No such file or directory: ''”.

Potential fix Try creating and subsequently using a new pseudopotential family by downloading and extracting the SSSP tarball as described above and adding the family with a new label. If this does not solve the issue, contact LC WEG via the hotline. We are still searching for a more elegant solution to this problem but have workarounds that should help.