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Top-level package for xedocs.

Project description

xedocs is meant to replace cmt and bodega as well as helping tracking all shared documents especially if they need to be versioned.

Basic Usage

Explore the available schemas

import xedocs

>>> xedocs.list_schemas()
>>> ['bodega',


        Schema name: pmt_gains
        Index fields: ['version', 'time', 'detector', 'pmt']
        Column fields: ['created_date', 'comments', 'value']

Read data from the default data source

import xedocs

docs = xedocs.find('pmt_gains',  version='v1', pmt=[1,2,3,5], time='2021-01-01T00:00:00', detector='tpc')
gains = [doc.value for doc in docs]

doc = xedocs.find_one('pmt_gains',  version='v1', pmt=1, time='2021-01-01T00:00:00', detector='tpc')
pmt1_gain = doc.value

You can also query documents directly from the scham class, Schemas will query the mongodb cmt2 database by default, if no explicit datasource is given.

drift_velocity = xedocs.Bodega.find_one(field='drift_velocity', version='v1')

# Returns a Bodega object with attributes value, description etc.

all_v1_documents = xedocs.Bodega.find(version='v1')

Read data from alternative data sources specified by path, e.g csv files which will be loaded by pandas.

import xedocs

g1_doc = xedocs.find_one('bodega', datasource='/path/to/file.csv', version='v1', field='g1')
g1_value = g1_doc.value
g1_error = g1_doc.uncertainty

The path can also be a github URL or any other URL supported by fsspec.

import xedocs

g1_doc = xedocs.find_one('bodega',

Supported data sources

  • MongoDB collections

  • TinyDB tables

  • JSON files

  • REST API clients

Please open an issue on rframe if you want support for an additional data format.


Full documentation hosted by Readthedocs


This package was created with Cookiecutter and the briggySmalls/cookiecutter-pypackage project template.

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