viewser 6.0.0

The Views 3 CLI tool

viewser

This package contains many useful user operations that are used by the views 3 team. These operations include fetching and publishing data, finding documentation on both transforms and database structure, and more.

CLI

viewser functionality is exposed via a CLI on your system after installation. An overview of available commands can be seen by running viewser --help.

API

In addition to the CLI, viewser exposes many useful operations as functions that can be used in scripts.

Configuration

The tool is configured using the viewser config set KEY VALUE and viewser config load JSON commands. The settings shown without defaults here, or with defaults that don't make sense for the average user (REMOTE_URL) must be configured before use.

Setting	Description	Default
RETRY_FREQUENCY	General request retry frequency in seconds	5
QUERYSET_MAX_RETRIES	How many times a queryset is queried before failing	500
LOG_LEVEL	Determines what logging messages are shown	INFO
ERROR_DUMP_DIRECTORY	Determines where error dumps are written to	~/.views/dumps
REMOTE_URL	URL of a views 3 instance	http://0.0.0.0:4000
MODEL_METADATA_DATABASE_HOSTNAME	Hostname of database for storing model metadata	hermes
MODEL_METADATA_DATABASE_NAME	DBname of database for storing model metadata	forecasts3
MODEL_METADATA_DATABASE_USER	Username for database for storing model metadata	Inferred from cert
MODEL_METADATA_DATABASE_SSLMODE	SSLmode for database for storing model metadata	required
MODEL_METADATA_DATABASE_PORT	Port of database for storing model metadata	5432
MODEL_METADATA_DATABASE_SCHEMA	Schema of database for storing model metadata	forecasts
MODEL_METADATA_DATABASE_TABLE	Table of database for storing model metadata	model
AZURE_BLOB_STORAGE_ACCOUNT_NAME	Name of Azure blob storage account
AZURE_BLOB_STORAGE_ACCOUNT_KEY	Access key of Azure blob storage account

Funding

The contents of this repository is the outcome of projects that have received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 694640, ViEWS) and Horizon Europe (Grant agreement No. 101055176, ANTICIPATE; and No. 101069312, ViEWS (ERC-2022-POC1)), Riksbankens Jubileumsfond (Grant agreement No. M21-0002, Societies at Risk), Uppsala University, Peace Research Institute Oslo, the United Nations Economic and Social Commission for Western Asia (ViEWS-ESCWA), the United Kingdom Foreign, Commonwealth & Development Office (GSRA – Forecasting Fatalities in Armed Conflict), the Swedish Research Council (DEMSCORE), the Swedish Foundation for Strategic Environmental Research (MISTRA Geopolitics), the Norwegian MFA (Conflict Trends QZA-18/0227), and the United Nations High Commissioner for Refugees (the Sahel Predictive Analytics project).