API bindings for the Lilt REST API.
A job stats shows an overview of job’s statistical data including total number of exact words, fuzzy words, language pairs, projects, etc.
| Name | Type | Description | Notes |
|---|---|---|---|
| exact_words | int | Total number of exact words. | [optional] |
| fuzzy_words | int | Total number of fuzzy words. | [optional] |
| new_words | int | Total number of fuzzy words. | [optional] |
| num_delivered_projects | int | Total number of delivered projects. | [optional] |
| num_language_pairs | int | Total number of delivered projects. | [optional] |
| num_projects | int | Total number of projects. | [optional] |
| percent_reviewed | int | Overall percentage of documents reviewed. | [optional] |
| percent_translated | int | Overall percentage of documents translated. | [optional] |
| projects | List[JobProject] | [optional] | |
| source_words | int | Total number of source words. | [optional] |
| unique_language_pairs | int | Number of unique language pairs. | [optional] |
| unique_linguists | int | Number of unique linguists. | [optional] |
| workflow_status | str | The status of the Workflow for the current job. | [optional] |
from lilt.models.job_stats import JobStats
# TODO update the JSON string below
json = "{}"
# create an instance of JobStats from a JSON string
job_stats_instance = JobStats.from_json(json)
# print the JSON string representation of the object
print(JobStats.to_json())
# convert the object into a dict
job_stats_dict = job_stats_instance.to_dict()
# create an instance of JobStats from a dict
job_stats_from_dict = JobStats.from_dict(job_stats_dict)