本文整理汇总了Python中workflow.Workflow.read_json_file方法的典型用法代码示例。如果您正苦于以下问题：Python Workflow.read_json_file方法的具体用法？Python Workflow.read_json_file怎么用？Python Workflow.read_json_file使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类workflow.Workflow的用法示例。
在下文中一共展示了Workflow.read_json_file方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1:
# 需要导入模块: from workflow import Workflow [as 别名]
# 或者: from workflow.Workflow import read_json_file [as 别名]
"http://www.cidoc-crm.org/cidoc-crm/E22_Man-Made_Object1",
"https://raw.githubusercontent.com/american-art/aac-alignment/master/karma-context.json",
data_type="csv",
additional_settings={"karma.input.delimiter":","})
#3. Save the output
# fileUtil.save_file(outputRDD, outputFilename, "text", "json")
reducedRDD = workflow.reduce_rdds(outputRDD)
reducedRDD.persist()
types = [
{"name": "E82_Actor_Appellation", "uri": "http://www.cidoc-crm.org/cidoc-crm/E82_Actor_Appellation"}
]
frames = [
{"name": "AutryMakers", "url": "https://raw.githubusercontent.com/american-art/aac-alignment/master/frames/autryMakers.json-ld"}
]
context = workflow.read_json_file(contextUrl)
framer_output = workflow.apply_framer(reducedRDD, types, frames)
for frame_name in framer_output:
outputRDD = workflow.apply_context(framer_output[frame_name], context, contextUrl)
#apply mapValues function
outputRDD_after = outputRDD.mapValues(mapFunc)
if not outputRDD_after.isEmpty():
fileUtil.save_file(outputRDD_after, outputFilename + "/" + frame_name, 'text', 'json')
print "Save to:", ("---" + frame_name)
# workflow.save_rdd_to_es(outputRDD, es_server, es_port, es_index + "/" + frame_name)