Utilities for loading data into Sparrow
Project description
sparrow.loader
The sparrow.loader
module helps you prepare data for loading
into the Sparrow geochemistry database system.
When disconnected from a database, it can be used to check that data is ready to be imported into a standard installation of Sparrow.
If connected to a Sparrow installation's PostgreSQL database, the module can be used to insert data into the appropriate tables.
Key functions
validate_data(schema_name: str, data: dict)
Checks data against a loader schemashow_loader_schemas(schema_name: str, ..., nest_depth=0)
Show the fields for one or several loader schemas.
Command-line application
The sparrow-loader
command line application allows you to inspect
and validate import schemas.
Installation
pip install sparrow-loader
Requires Python >=3.9
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
File details
Details for the file sparrow-loader-1.0.8.tar.gz
.
File metadata
- Download URL: sparrow-loader-1.0.8.tar.gz
- Upload date:
- Size: 38.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.2.0 CPython/3.10.3 Darwin/21.6.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 51994f3d827fecaedcd0030afbed8d24dd08fda8e15d4a94b1884645f0290f04 |
|
MD5 | 6ba599f3ea541cb99f86f11af8ef10be |
|
BLAKE2b-256 | 4ad71091d6d571a3811a46d8e2924fb22b19549721c562cd40c7f90f2f9fc62a |
File details
Details for the file sparrow_loader-1.0.8-py3-none-any.whl
.
File metadata
- Download URL: sparrow_loader-1.0.8-py3-none-any.whl
- Upload date:
- Size: 40.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.2.0 CPython/3.10.3 Darwin/21.6.0
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | ccd3d70ee539225ad81eb1873dfe8e2960f94221dded2e024194e1e92ae3fcea |
|
MD5 | 2bff1dc44d796f9da38b419acea88826 |
|
BLAKE2b-256 | 37732c0bb23f89f4df4e30918f17b879b3493f7f6a97ae10353e565f34510190 |