I have encountered this error and tried a number of fixes posted on this site but have had no luck. I wrote a unit test and cannot call it due to the Start Directory Not Importable error. My file structure is:
Root
└── tests
└── fixtures
└── customFile.json
├── __init__.py
└── functionTest.py
└── Lambdas
└── FunctionA
├── __init__.py
└── FunctionToTest.py
and my unit test looks like this:
import unittest
import json
import boto3
from Lambdas.FunctionA import FunctionToTest
s3 = boto3.client('s3', 'us-east-1')
file = s3.get_object(Bucket="BUCKET", Key="KEY")
mapper = s3.get_object(Key="KEY", Bucket="BUCKET")
mapperJSON = json.loads(mapper['Body'].read().decode('utf-8'))
path = r"./tests/fixtures/customFile.json"
with open(path) as file:
endList = json.load(file)
file.close()
class TestMatchModeler(unittest.TestCase):
def test_run(self):
test = FunctionToTest(file, mapperJSON)
self.assertEqual(len(test), len(endList))
if __name__ == '__main__':
unittest.main()
and the actual code it's testing is:
def FunctionToTest(file, mapperjson):
Fields = mapperjson['mappings']
lines1 = file['Body'].read().decode('utf-8').split('\n')
fieldnames = lines1[0].replace('"','').split(',')
testls = [row for row in csv.DictReader(lines1[1:], fieldnames)]
out = json.dumps(testls)
jlist1 = json.loads(out)
dicts = []
Fieldsinv = {v: k for k, v in Fields.items()}
for i in jlist1:
d = {}
for k, v in i.items():
if k in Fieldsinv:
d[Fieldsinv[k]] = v
d['individual_id'] = str(uuid.uuid4())
dicts.append(d)
return dicts
Essentially the customFile.json is a list of dictionaries that I know are correct, and I want to test that my code modifies a CSV correctly to have the same number of dicts. This question has been asked a lot and the answer is always to have the files linked via an init.py file but as you can see I've done that and it still doesn't work.
I'm sure this may get flagged as a duplicate but im not sure what else to try.
