将结果保存到新的 csv 文件而不是 println Groovy
Save result to a new csv file instead of println Groovy
如何将 groovy 脚本的结果保存到新文件中? C:/temp/all1.csv。我想将 json 文件解析为 csv,脚本工作正常,但我不知道如何将结果保存到新文件中。请帮忙
import groovy.json.*
import java.io.File
def json ='''
{
"expand": "schema,names",
"startAt": 0,
"maxResults": 50,
"total": 21,
"issues": [
{
"expand": "operations,versionedRepresentations",
"id": "217580",
"self": "issue/217580",
"key": "ART-4070",
"fields": {"summary": "#[ART] Pre.3 Verification \"S\""}
},
{
"expand": "operations,versionedRepresentations",
"id": "217579",
"self": "issue/217579",
"key": "ART-4069",
"fields": {"summary": "Verification \"C\""}
},
{
"expand": "operations,versionedRepresentations",
"id": "217577",
"self": "issue/217577",
"key": "ART-4068",
"fields": {"summary": "#[ART] Enum type"}
}
]
}
'''
File csvFile = new File( 'C:/temp/all1.csv')
def jsonSlurper = new JsonSlurper()
def config = [ // header -> extractor
"key": { it.key },
"summary": { it.fields.summary }
]
def encode(e) { // help with nulls; quote the separator
(e ?: "").replaceAll(";", "\;")
}
def csvLine(items) { // write items as "CSV"
println(items.collect{ encode it }.join(";"))
}
def obj = new JsonSlurper().parseText(json)
csvLine(config.keySet())
obj.issues.each{ issue ->
csvLine(config.values().collect{ f -> f issue })
}
结果:
关键;摘要
ART-4070;#[ART] Pre.3 验证“S”
ART-4069;验证“C”
ART-4068;#[ART] 枚举类型
要使用当前代码,您可以在您的代码中使用 csvFile.append(...)
而不是 println
csvLine
函数并根据您的实际数据量,这可能
是性能和资源之间的良好折衷。
或者您可以一次写入整个 CSV。例如
// prepare whole table
def data = [config.keySet()]
data.addAll(
obj.issues.collect{ issue ->
config.values().collect{ f -> f issue }
}
)
// write table as csv
def csvFile = "/tmp/out.csv" as File
csvFile.text = data.collect{
it.collect{ encode it }.join(";")9
}.join("\n")
如何将 groovy 脚本的结果保存到新文件中? C:/temp/all1.csv。我想将 json 文件解析为 csv,脚本工作正常,但我不知道如何将结果保存到新文件中。请帮忙
import groovy.json.*
import java.io.File
def json ='''
{
"expand": "schema,names",
"startAt": 0,
"maxResults": 50,
"total": 21,
"issues": [
{
"expand": "operations,versionedRepresentations",
"id": "217580",
"self": "issue/217580",
"key": "ART-4070",
"fields": {"summary": "#[ART] Pre.3 Verification \"S\""}
},
{
"expand": "operations,versionedRepresentations",
"id": "217579",
"self": "issue/217579",
"key": "ART-4069",
"fields": {"summary": "Verification \"C\""}
},
{
"expand": "operations,versionedRepresentations",
"id": "217577",
"self": "issue/217577",
"key": "ART-4068",
"fields": {"summary": "#[ART] Enum type"}
}
]
}
'''
File csvFile = new File( 'C:/temp/all1.csv')
def jsonSlurper = new JsonSlurper()
def config = [ // header -> extractor
"key": { it.key },
"summary": { it.fields.summary }
]
def encode(e) { // help with nulls; quote the separator
(e ?: "").replaceAll(";", "\;")
}
def csvLine(items) { // write items as "CSV"
println(items.collect{ encode it }.join(";"))
}
def obj = new JsonSlurper().parseText(json)
csvLine(config.keySet())
obj.issues.each{ issue ->
csvLine(config.values().collect{ f -> f issue })
}
结果:
关键;摘要
ART-4070;#[ART] Pre.3 验证“S”
ART-4069;验证“C”
ART-4068;#[ART] 枚举类型
要使用当前代码,您可以在您的代码中使用 csvFile.append(...)
而不是 println
csvLine
函数并根据您的实际数据量,这可能
是性能和资源之间的良好折衷。
或者您可以一次写入整个 CSV。例如
// prepare whole table
def data = [config.keySet()]
data.addAll(
obj.issues.collect{ issue ->
config.values().collect{ f -> f issue }
}
)
// write table as csv
def csvFile = "/tmp/out.csv" as File
csvFile.text = data.collect{
it.collect{ encode it }.join(";")9
}.join("\n")