我有tsv文件,其准备如下:
*Settings*
Force, Tags FakeTag
Resource ../../robot_resources/global.tsv
*Test, Cases*
Testcase1 [Documentation] PURPOSE:
... Test, checking,,
...
...
... PRECONDITION:
... set,
... make, sure, that,
...
...
[Setup] stopProcessAndWaitForIt
startAdvErrorTrace
startAdvDumpEvents
stopProcessAndWaitForIt
stopAndDownloadAdvDumpEvents
Testcase2 [Documentation] PURPOSE:
... Test, checking,, if,
...
...
... PRECONDITION:
我想做的是: - 从 Test,Cases 开始读取文件 - 分别读取每个测试用例:testcase1,testcase2..n(每个测试用例在没有制表符的情况下启动,测试用例正文以制表符开头) - 评估所有测试用例是否具有表达式“startAdvErrorTrace”“startAdvDumpEvents”等 我在tsv中有大约50个测试用例,并且想要评估所有文件
我在发展中完全是绿色的。我发现了一些想法,如读取csv文件作为tsv。但我不知道如何实现我的期望
答案 0 :(得分:0)
我不知道这是什么文件格式,但你可以这样做:
items = ("startAdvErrorTrace", "startAdvDumpEvents") # add more as desired
import re
with open("testfile") as infile:
# skip contents until Test Cases
contents = re.search(r"(?s)\*Test, Cases\*.*", infile.read())
cases = contents.split("\n\n") # Split on two consecutive newlines
for case in cases:
if not all(item in case for item in items)
print("Not all items found in case:")
print(case)
答案 1 :(得分:0)
这是一个解析每个Testcase标志的小脚本。输出是:
Flags per testcase:
{1: ['startAdvErrorTrace', 'startAdvDumpEvents'], 2: []}
脚本是:
usage = {}
flags = ('startAdvErrorTrace', 'startAdvDumpEvents')
with(open(testfile)) as f:
lines = [line.strip() for line in f.readlines()]
start_parsing = False
for line in lines:
if 'Test, Cases' in line:
start_parsing = True
continue
if parse_cases:
if 'Testcase' in line:
case_nr = int(re.findall('\d+', line)[0])
usage[case_nr] = []
continue
for flag in flags:
if flag in line:
usage[case_nr].append(flag)
print 'Flags per testcase:'
usage
希望有所帮助。