CsvPath Framework
  • CsvPath
  • DATA PREBOARDING
  • Getting Started
    • Quickstart
    • Organizing Inbound Data
      • Dataflow Diagram
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      • How Data Progresses Through CsvPath Framework
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    • Csv and Excel Validation
      • Your First Validation, The Lazy Way
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    • DataOps Integrations
      • Getting Started with CsvPath + OpenTelemetry
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        • SFTPPlus Implementation Checklist
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    • How-tos
      • How-to videos
      • Storage backend how-tos
        • Store source data and/or named-paths and/or the archive in AWS S3
        • Loading files from S3, SFTP, or Azure
        • Add a file by https
        • Store source data and/or named-paths and/or the archive in Azure
        • Store source data and/or named-paths and/or the archive in Google Cloud Storage
      • CsvPath in AWS Lambda
      • Call a webhook at the end of a run
      • Setup notifications to Slack
      • Send run events to Sqlite
      • Execute a script at the end of a run
      • Send events to MySQL or Postgres
      • Sending results by SFTP
      • Another (longer) Example
        • Another Example, Part 1
        • Another Example, Part 2
      • Working with error messages
      • Sending results to CKAN
      • Transfer a file out of CsvPath
      • File references and rewind/replay how-tos
        • Replay Using References
        • Doing rewind / replay, part 1
        • Doing rewind / replay, part 2
        • Referring to named-file versions
      • Config Setup
      • Debugging Your CsvPaths
      • Creating a derived file
      • Run CsvPath on Jenkins
    • A Helping Hand
  • Topics
    • The CLI
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      • Why CsvPath?
      • CsvPath Use Cases
      • Paths To Production
      • Solution Storming
    • Validation
      • Schemas Or Rules?
      • Well-formed, Valid, Canonical, and Correct
      • Validation Strategies
    • Python
      • Python vs. CsvPath
      • Python Starters
    • Product Comparisons
      • The Data Preboarding Comparison Worksheet
    • Data, Validation Files, and Storage
      • Named Files and Paths
      • Where Do I Find Results?
      • Storage Backends
      • File Management
    • Language Basics
    • A CsvPath Cheatsheet
    • The Collect, Store, Validate Pattern
    • The Modes
    • The Reference Data Types
    • Manifests and Metadata
    • Serial Or Breadth-first Runs?
    • Namespacing With the Archive
    • Glossary
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  1. Getting Started
  2. Organizing Inbound Data
  3. How Data Progresses Through CsvPath Framework
  4. Validation and Upgrading

Running In the CLI

PreviousRun Using the APINextNamed-paths Reference Queries

Last updated 1 month ago

The CLI supports running named-path groups using names and references without any Python coding. First start the CLI. If you use Poetry, do: poetry run cli. Otherwise either: 

python csvpath.cli.cli.py

Or in a script file: 

from csvpath.cli import Cli 
Cli().loop()