CLI tool for triggering datacenter metadata updates
Project description
dmtri
dmtri is a command-line tool designed to trigger metadata and data refresh simulations across EIDA nodes using Ansible automation.
seedpsdwfcatalogavailability
It uses .dmtri_jobs.json per host to track async job state and integrates with uv and ansible for CLI automation.
Installation & Setup
1. Install or Run
You can run dmtri directly or install it as a tool:
Run without installing (via uvx)
uvx dmtri <command>
Install as a global tool
# Using uv (recommended)
uv tool install dmtri
# Using pip
pip install dmtri
2. Configure
Once installed, set up your local configuration directory:
dmtri init
This creates a config folder (e.g., ~/.config/dmtri/ on Linux) with a template hosts.ini and all standard playbooks.
Edit your Inventory
Use nano (or any text editor) to fill in your EIDA server details:
nano ~/.config/dmtri/hosts.ini
Verify Connectivity
Check if your servers are reachable:
dmtri doctor
Usage
Run Refresh Jobs
Trigger refresh playbooks across your nodes:
dmtri refresh --network HL --station ATH --starttime 2024-01-01
Track Job Status
Monitor the status of asynchronous jobs:
dmtri track
Fix Inconsistencies
Automatically repair the inconsistencies found in an eida-consistency report. A report lists streams where the availability view and dataselect disagree; dmtri fix reads that report and, for each affected stream, re-runs the WFCatalog collector and rebuilds the availability view for the exact time window.
Point it at a report file or URL:
dmtri fix https://eida-oculus.orfeus-eu.org/consistency/NOA/2026/NOA_2026-06-07_140510.json
Fix only specific entries from the report (by their index):
dmtri fix report.json --index 2 --index 16
After a fix, the availability service keeps cached answers for ~20 minutes, so a stream may still look unfixed for a short while. Re-check once the cache expires — this only verifies, it changes nothing:
dmtri fix --verify-only report.json
Prerequisite: the eida-consistency CLI
dmtri fix reads the report through eida-consistency (version 0.5.1 or newer, for its explore --json output). If it isn't already on the machine, install it any one of these ways:
uv tool install eida-consistency # recommended — puts it on your PATH
pipx install eida-consistency
pip install eida-consistency
You don't strictly have to install it: if uv is present, dmtri fix will run it on demand via uvx eida-consistency. And if it's installed somewhere off your PATH, point dmtri at it:
export DMTRI_EIDA_CONSISTENCY='/full/path/to/eida-consistency'
If it's missing (or too old), dmtri fix stops before touching anything and prints the exact install/upgrade command to run.
Customization
Local Playbooks
dmtri init copies all playbooks to your config directory. You can edit them to change automation logic:
# Location: ~/.config/dmtri/playbooks/
nano ~/.config/dmtri/playbooks/refresh/availability_refresh.yml
dmtri prioritizes these local playbooks over the bundled defaults.
Inventory Overrides
Override the inventory at runtime:
dmtri doctor --inventory ./my_custom_hosts.ini
Operation Details
dmtri supports two main operations for both metadata and data: refresh and clean. These affect the following components:
🔄 Refresh
-
Metadata
seedpsd: Scans for new metadata.availability: Refreshes the view in MongoDB.
-
Data
- Identifies data files in the archive for the specified epoch (by NSLC and time range).
seedpsd: Recalculates seedPSD for new files.wfcatalog: Runs the collector on new data files.
- Identifies data files in the archive for the specified epoch (by NSLC and time range).
🧹 Clean
-
Metadata
seedpsd: Removes the metadata entries.availability: Refreshes the view in MongoDB.
-
Data
- Identifies data files in the archive for the specified epoch.
seedpsd: Removes associated seedPSD data (via CLI).wfcatalog: Removes files using the--deleteoption in the collector.
- Identifies data files in the archive for the specified epoch.
License
Copyright © 2026 EIDA (European Integrated Data Archive).
dmtri is free software: you can redistribute it and/or modify it under the terms of the
GNU General Public License as published by the Free Software Foundation, either
version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file dmtri-0.1.4.tar.gz.
File metadata
- Download URL: dmtri-0.1.4.tar.gz
- Upload date:
- Size: 87.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1cb4d27204390b7afa490ad4a94992e8e72f39406207aaa42709d3439dac5bec
|
|
| MD5 |
9601c1a0996cc6e3c02c22704a9a7116
|
|
| BLAKE2b-256 |
49ab02f0abf5c8c462696f9bd99d7b169656d92f9acbf87f57c704df763463fa
|
Provenance
The following attestation bundles were made for dmtri-0.1.4.tar.gz:
Publisher:
publish.yml on EIDA/dmtri
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
dmtri-0.1.4.tar.gz -
Subject digest:
1cb4d27204390b7afa490ad4a94992e8e72f39406207aaa42709d3439dac5bec - Sigstore transparency entry: 2071694077
- Sigstore integration time:
-
Permalink:
EIDA/dmtri@0e511e70a5a8027add3081f9c0fa702cc5a0870e -
Branch / Tag:
refs/tags/0.1.4 - Owner: https://github.com/EIDA
-
Access:
private
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@0e511e70a5a8027add3081f9c0fa702cc5a0870e -
Trigger Event:
push
-
Statement type:
File details
Details for the file dmtri-0.1.4-py3-none-any.whl.
File metadata
- Download URL: dmtri-0.1.4-py3-none-any.whl
- Upload date:
- Size: 90.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.1.0 CPython/3.12.8
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d4da28ac59b721e39cf3df7fa5459abfd1d8aba31d9aff92139aeae6c4e6e58f
|
|
| MD5 |
b7f7c642f87535d18f930a913ca10c30
|
|
| BLAKE2b-256 |
854a327177fc173a09649ef96f439fe0ac2459f4aedfc965a919c5ec815f1655
|
Provenance
The following attestation bundles were made for dmtri-0.1.4-py3-none-any.whl:
Publisher:
publish.yml on EIDA/dmtri
-
Statement:
-
Statement type:
https://in-toto.io/Statement/v1 -
Predicate type:
https://docs.pypi.org/attestations/publish/v1 -
Subject name:
dmtri-0.1.4-py3-none-any.whl -
Subject digest:
d4da28ac59b721e39cf3df7fa5459abfd1d8aba31d9aff92139aeae6c4e6e58f - Sigstore transparency entry: 2071694084
- Sigstore integration time:
-
Permalink:
EIDA/dmtri@0e511e70a5a8027add3081f9c0fa702cc5a0870e -
Branch / Tag:
refs/tags/0.1.4 - Owner: https://github.com/EIDA
-
Access:
private
-
Token Issuer:
https://token.actions.githubusercontent.com -
Runner Environment:
github-hosted -
Publication workflow:
publish.yml@0e511e70a5a8027add3081f9c0fa702cc5a0870e -
Trigger Event:
push
-
Statement type: