mirror of https://github.com/eyhc1/rendercv.git
810 lines
29 KiB
Python
810 lines
29 KiB
Python
import unittest
|
|
import os
|
|
import json
|
|
|
|
from rendercv import data_model
|
|
|
|
from datetime import date as Date
|
|
from pydantic import ValidationError
|
|
|
|
|
|
class TestDataModel(unittest.TestCase):
|
|
def test_check_spelling(self):
|
|
sentences = [
|
|
"This is a sentence.",
|
|
"This is a sentance with special characters &@#&^@*#&)((!@#_)()).",
|
|
r"12312309 Thisdf sdfsd is a sentence *safds\{\}[[[]]]",
|
|
]
|
|
|
|
for sentence in sentences:
|
|
with self.subTest(sentence=sentence):
|
|
data_model.check_spelling(sentence)
|
|
|
|
def test_compute_time_span_string(self):
|
|
start_date = Date(year=2020, month=1, day=1)
|
|
end_date = Date(year=2021, month=1, day=1)
|
|
expected = "1 year 1 month"
|
|
result = data_model.compute_time_span_string(start_date, end_date)
|
|
with self.subTest(expected=expected):
|
|
self.assertEqual(result, expected)
|
|
|
|
start_date = Date(year=2020, month=1, day=1)
|
|
end_date = Date(year=2020, month=2, day=1)
|
|
expected = "1 month"
|
|
result = data_model.compute_time_span_string(start_date, end_date)
|
|
with self.subTest(expected=expected):
|
|
self.assertEqual(result, expected)
|
|
|
|
start_date = Date(year=2020, month=1, day=1)
|
|
end_date = Date(year=2023, month=3, day=2)
|
|
expected = "3 years 2 months"
|
|
result = data_model.compute_time_span_string(start_date, end_date)
|
|
with self.subTest(expected=expected):
|
|
self.assertEqual(result, expected)
|
|
|
|
start_date = Date(year=2020, month=1, day=1)
|
|
end_date = Date(year=1982, month=1, day=1)
|
|
with self.subTest(msg="start_date > end_date"):
|
|
with self.assertRaises(ValueError):
|
|
data_model.compute_time_span_string(start_date, end_date)
|
|
|
|
# invalid inputs:
|
|
start_date = None
|
|
end_date = Date(year=2023, month=3, day=2)
|
|
with self.subTest(msg="start_date is None"):
|
|
with self.assertRaises(TypeError):
|
|
data_model.compute_time_span_string(start_date, end_date) # type: ignore
|
|
|
|
start_date = Date(year=2020, month=1, day=1)
|
|
end_date = None
|
|
with self.subTest(msg="end_date is None"):
|
|
with self.assertRaises(TypeError):
|
|
data_model.compute_time_span_string(start_date, end_date) # type: ignore
|
|
|
|
start_date = 324
|
|
end_date = "test"
|
|
with self.subTest(msg="start_date and end_date are not dates"):
|
|
with self.assertRaises(TypeError):
|
|
data_model.compute_time_span_string(start_date, end_date) # type: ignore
|
|
|
|
def test_format_date(self):
|
|
date = Date(year=2020, month=1, day=1)
|
|
expected = "Jan. 2020"
|
|
result = data_model.format_date(date)
|
|
with self.subTest(expected=expected):
|
|
self.assertEqual(result, expected)
|
|
|
|
date = Date(year=1983, month=12, day=1)
|
|
expected = "Dec. 1983"
|
|
result = data_model.format_date(date)
|
|
with self.subTest(expected=expected):
|
|
self.assertEqual(result, expected)
|
|
|
|
date = Date(year=2045, month=6, day=1)
|
|
expected = "June 2045"
|
|
result = data_model.format_date(date)
|
|
with self.subTest(expected=expected):
|
|
self.assertEqual(result, expected)
|
|
|
|
def test_data_design_font(self):
|
|
# Valid font:
|
|
input = {
|
|
"font": "SourceSans3",
|
|
}
|
|
with self.subTest(msg="valid font"):
|
|
design = data_model.Design(**input) # type: ignore
|
|
self.assertEqual(design.font, input["font"])
|
|
|
|
# Invalid font:
|
|
input = {
|
|
"font": "InvalidFont",
|
|
}
|
|
with self.subTest(msg="invalid font"):
|
|
with self.assertRaises(ValidationError):
|
|
data_model.Design(**input) # type: ignore
|
|
|
|
def test_data_design_theme(self):
|
|
# Valid theme:
|
|
input = {
|
|
"theme": "classic",
|
|
}
|
|
with self.subTest(msg="valid theme"):
|
|
design = data_model.Design(**input) # type: ignore
|
|
self.assertEqual(design.theme, input["theme"])
|
|
|
|
# Nonexistent theme:
|
|
input = {
|
|
"theme": "nonexistent",
|
|
}
|
|
with self.subTest(msg="nonexistent theme"):
|
|
with self.assertRaises(ValidationError):
|
|
data_model.Design(**input) # type: ignore
|
|
|
|
def test_data_design_show_timespan_in(self):
|
|
# Valid show_timespan_in:
|
|
input = {
|
|
"design": {
|
|
"options": {
|
|
"show_timespan_in": ["Work Experience"],
|
|
}
|
|
},
|
|
"cv": {
|
|
"name": "John Doe",
|
|
"work_experience": [
|
|
{
|
|
"company": "My Company",
|
|
"position": "My Position",
|
|
"start_date": "2020-01-01",
|
|
"end_date": "2021-01-01",
|
|
}
|
|
],
|
|
},
|
|
}
|
|
with self.subTest(msg="valid show_timespan_in"):
|
|
data_model.RenderCVDataModel(**input)
|
|
|
|
# Nonexistent show_timespan_in:
|
|
del input["cv"]["work_experience"]
|
|
with self.subTest(msg="nonexistent show_timespan_in"):
|
|
with self.assertRaises(ValidationError):
|
|
data_model.RenderCVDataModel(**input)
|
|
|
|
def test_data_event_check_dates(self):
|
|
# Inputs with valid dates:
|
|
input = {
|
|
"start_date": "2020-01-01",
|
|
"end_date": "2021-01-01",
|
|
"date": None,
|
|
}
|
|
with self.subTest(msg="valid date with start_date and end_date"):
|
|
event = data_model.Event(**input)
|
|
self.assertEqual(event.start_date, Date.fromisoformat(input["start_date"]))
|
|
self.assertEqual(event.end_date, Date.fromisoformat(input["end_date"]))
|
|
self.assertEqual(event.date, None)
|
|
|
|
input = {
|
|
"start_date": "2020-01-01",
|
|
"end_date": None,
|
|
"date": None,
|
|
}
|
|
with self.subTest(msg="valid date with start_date"):
|
|
event = data_model.Event(**input)
|
|
self.assertEqual(
|
|
event.start_date,
|
|
Date.fromisoformat(input["start_date"]),
|
|
msg="Start date is not correct.",
|
|
)
|
|
self.assertEqual(event.end_date, "present", msg="End date is not correct.")
|
|
self.assertEqual(event.date, None, msg="Date is not correct.")
|
|
|
|
input = {
|
|
"start_date": "2020-01-01",
|
|
"end_date": "present",
|
|
"date": None,
|
|
}
|
|
with self.subTest(msg="valid date with start_date and end_date=present"):
|
|
event = data_model.Event(**input)
|
|
self.assertEqual(
|
|
event.start_date,
|
|
Date.fromisoformat(input["start_date"]),
|
|
msg="Start date is not correct.",
|
|
)
|
|
self.assertEqual(event.end_date, "present", msg="End date is not correct.")
|
|
self.assertEqual(event.date, None, msg="Date is not correct.")
|
|
|
|
input = {
|
|
"start_date": None,
|
|
"end_date": None,
|
|
"date": "My Birthday",
|
|
}
|
|
with self.subTest(msg="valid date with custom date"):
|
|
event = data_model.Event(**input)
|
|
self.assertEqual(event.start_date, None, msg="Start date is not correct.")
|
|
self.assertEqual(event.end_date, None, msg="End date is not correct.")
|
|
self.assertEqual(event.date, input["date"], msg="Date is not correct.")
|
|
|
|
input = {
|
|
"start_date": None,
|
|
"end_date": None,
|
|
"date": "2020-01-01",
|
|
}
|
|
with self.subTest(msg="valid date with ISO date"):
|
|
event = data_model.Event(**input)
|
|
self.assertEqual(event.start_date, None, msg="Start date is not correct.")
|
|
self.assertEqual(event.end_date, None, msg="End date is not correct.")
|
|
self.assertEqual(
|
|
event.date,
|
|
Date.fromisoformat(input["date"]),
|
|
msg="Date is not correct.",
|
|
)
|
|
|
|
input = {
|
|
"start_date": "2020-01-01",
|
|
"end_date": "present",
|
|
"date": "My Birthday",
|
|
}
|
|
event = data_model.Event(**input) # type: ignore
|
|
with self.subTest(msg="start_date, end_date, and date are all provided"):
|
|
self.assertEqual(event.date, None, msg="Date is not correct.")
|
|
self.assertEqual(
|
|
event.start_date,
|
|
Date.fromisoformat(input["start_date"]),
|
|
msg="Start date is not correct.",
|
|
)
|
|
self.assertEqual(
|
|
event.end_date, input["end_date"], msg="End date is not correct."
|
|
)
|
|
|
|
input = {
|
|
"start_date": "2020-01-01",
|
|
"end_date": None,
|
|
"date": "My Birthday",
|
|
}
|
|
event = data_model.Event(**input)
|
|
with self.subTest(msg="start_date and date are provided"):
|
|
self.assertEqual(event.start_date, None, msg="Start date is not correct.")
|
|
self.assertEqual(event.end_date, None, msg="End date is not correct.")
|
|
self.assertEqual(event.date, input["date"], msg="Date is not correct.")
|
|
|
|
input = {
|
|
"start_date": None,
|
|
"end_date": "2020-01-01",
|
|
"date": "My Birthday",
|
|
}
|
|
event = data_model.Event(**input)
|
|
with self.subTest(msg="end_date and date are provided"):
|
|
self.assertEqual(event.start_date, None, msg="Start date is not correct.")
|
|
self.assertEqual(event.end_date, None, msg="End date is not correct.")
|
|
self.assertEqual(event.date, input["date"], msg="Date is not correct.")
|
|
|
|
input = {
|
|
"start_date": None,
|
|
"end_date": None,
|
|
"date": "2020-01-01",
|
|
}
|
|
event = data_model.Event(**input)
|
|
with self.subTest(msg="only date is provided"):
|
|
self.assertEqual(event.start_date, None, msg="Start date is not correct.")
|
|
self.assertEqual(event.end_date, None, msg="End date is not correct.")
|
|
self.assertEqual(
|
|
event.date,
|
|
Date.fromisoformat(input["date"]),
|
|
msg="Date is not correct.",
|
|
)
|
|
|
|
# Inputs without dates:
|
|
with self.subTest(msg="no dates"):
|
|
event = data_model.Event(**{})
|
|
self.assertEqual(event.start_date, None, msg="Start date is not correct.")
|
|
self.assertEqual(event.end_date, None, msg="End date is not correct.")
|
|
self.assertEqual(event.date, None, msg="Date is not correct.")
|
|
|
|
# Inputs with invalid dates:
|
|
input = {
|
|
"start_date": "2020-01-01",
|
|
"end_date": "2019-01-01",
|
|
}
|
|
with self.subTest(msg="start_date > end_date"):
|
|
with self.assertRaises(ValidationError):
|
|
data_model.Event(**input) # type: ignore
|
|
|
|
input = {
|
|
"start_date": "2020-01-01",
|
|
"end_date": "2900-01-01",
|
|
}
|
|
with self.subTest(msg="end_date > present"):
|
|
with self.assertRaises(ValidationError):
|
|
data_model.Event(**input) # type: ignore
|
|
|
|
def test_data_event_date_and_location_strings_with_timespan(self):
|
|
input = {
|
|
"start_date": "2020-01-01",
|
|
"end_date": "2021-01-16",
|
|
"location": "My Location",
|
|
}
|
|
expected = [
|
|
"My Location",
|
|
"Jan. 2020 to Jan. 2021",
|
|
"1 year 1 month",
|
|
]
|
|
event = data_model.Event(**input) # type: ignore
|
|
result = event.date_and_location_strings_with_timespan
|
|
with self.subTest(msg="start_date, end_date, and location are provided"):
|
|
self.assertEqual(result, expected)
|
|
|
|
input = {
|
|
"date": "My Birthday",
|
|
"location": "My Location",
|
|
}
|
|
expected = [
|
|
"My Location",
|
|
"My Birthday",
|
|
]
|
|
event = data_model.Event(**input) # type: ignore
|
|
result = event.date_and_location_strings_with_timespan
|
|
with self.subTest(msg="date and location are provided"):
|
|
self.assertEqual(result, expected)
|
|
|
|
input = {
|
|
"date": "2020-01-01",
|
|
}
|
|
expected = [
|
|
"Jan. 2020",
|
|
]
|
|
event = data_model.Event(**input) # type: ignore
|
|
result = event.date_and_location_strings_with_timespan
|
|
with self.subTest(msg="date is provided"):
|
|
self.assertEqual(result, expected)
|
|
|
|
input = {
|
|
"start_date": "2020-01-01",
|
|
"end_date": "2021-01-16",
|
|
}
|
|
expected = [
|
|
"Jan. 2020 to Jan. 2021",
|
|
"1 year 1 month",
|
|
]
|
|
event = data_model.Event(**input) # type: ignore
|
|
result = event.date_and_location_strings_with_timespan
|
|
with self.subTest(msg="start_date and end_date are provided"):
|
|
self.assertEqual(result, expected)
|
|
|
|
input = {
|
|
"location": "My Location",
|
|
}
|
|
expected = [
|
|
"My Location",
|
|
]
|
|
event = data_model.Event(**input) # type: ignore
|
|
result = event.date_and_location_strings_with_timespan
|
|
with self.subTest(msg="location is provided"):
|
|
self.assertEqual(result, expected)
|
|
|
|
def test_data_event_date_and_location_strings_without_timespan(self):
|
|
input = {
|
|
"start_date": "2020-01-01",
|
|
"end_date": "2021-01-16",
|
|
"location": "My Location",
|
|
}
|
|
expected = [
|
|
"My Location",
|
|
"Jan. 2020 to Jan. 2021",
|
|
]
|
|
event = data_model.Event(**input) # type: ignore
|
|
result = event.date_and_location_strings_without_timespan
|
|
with self.subTest(expected=expected):
|
|
self.assertEqual(result, expected)
|
|
|
|
input = {
|
|
"date": "My Birthday",
|
|
"location": "My Location",
|
|
}
|
|
expected = [
|
|
"My Location",
|
|
"My Birthday",
|
|
]
|
|
event = data_model.Event(**input) # type: ignore
|
|
result = event.date_and_location_strings_without_timespan
|
|
with self.subTest(expected=expected):
|
|
self.assertEqual(result, expected)
|
|
|
|
def test_data_event_highlight_strings(self):
|
|
input = {
|
|
"highlights": [
|
|
"My Highlight 1",
|
|
"My Highlight 2",
|
|
],
|
|
}
|
|
expected = [
|
|
"My Highlight 1",
|
|
"My Highlight 2",
|
|
]
|
|
event = data_model.Event(**input) # type: ignore
|
|
result = event.highlight_strings
|
|
with self.subTest(msg="highlights are provided"):
|
|
self.assertEqual(result, expected)
|
|
|
|
input = {}
|
|
expected = []
|
|
event = data_model.Event(**input)
|
|
result = event.highlight_strings
|
|
with self.subTest(msg="no highlights"):
|
|
self.assertEqual(result, expected)
|
|
|
|
def test_data_event_markdown_url(self):
|
|
# Github link:
|
|
input = {"url": "https://github.com/sinaatalay"}
|
|
expected = "[view on GitHub](https://github.com/sinaatalay)"
|
|
event = data_model.Event(**input) # type: ignore
|
|
result = event.markdown_url
|
|
with self.subTest(msg="Github link"):
|
|
self.assertEqual(result, expected)
|
|
|
|
# LinkedIn link:
|
|
input = {"url": "https://www.linkedin.com/"}
|
|
expected = "[view on LinkedIn](https://www.linkedin.com/)"
|
|
event = data_model.Event(**input) # type: ignore
|
|
result = event.markdown_url
|
|
with self.subTest(msg="LinkedIn link"):
|
|
self.assertEqual(result, expected)
|
|
|
|
# Instagram link:
|
|
input = {"url": "https://www.instagram.com/"}
|
|
expected = "[view on Instagram](https://www.instagram.com/)"
|
|
event = data_model.Event(**input) # type: ignore
|
|
result = event.markdown_url
|
|
with self.subTest(msg="Instagram link"):
|
|
self.assertEqual(result, expected)
|
|
|
|
# Youtube link:
|
|
input = {"url": "https://www.youtube.com/"}
|
|
expected = "[view on YouTube](https://www.youtube.com/)"
|
|
event = data_model.Event(**input) # type: ignore
|
|
result = event.markdown_url
|
|
with self.subTest(msg="Youtube link"):
|
|
self.assertEqual(result, expected)
|
|
|
|
# Other links:
|
|
input = {"url": "https://www.google.com/"}
|
|
expected = "[view on my website](https://www.google.com/)"
|
|
event = data_model.Event(**input) # type: ignore
|
|
result = event.markdown_url
|
|
with self.subTest(msg="Other links"):
|
|
self.assertEqual(result, expected)
|
|
|
|
def test_data_event_month_and_year(self):
|
|
input = {
|
|
"start_date": "2020-01-01",
|
|
"end_date": "2021-01-16",
|
|
}
|
|
expected = None
|
|
event = data_model.Event(**input) # type: ignore
|
|
result = event.month_and_year
|
|
with self.subTest(msg="start_date and end_date are provided"):
|
|
self.assertEqual(result, expected)
|
|
|
|
input = {
|
|
"date": "My Birthday",
|
|
}
|
|
expected = "My Birthday"
|
|
event = data_model.Event(**input) # type: ignore
|
|
result = event.month_and_year
|
|
with self.subTest(msg="custom date is provided"):
|
|
self.assertEqual(result, expected)
|
|
|
|
input = {
|
|
"date": "2020-01-01",
|
|
}
|
|
expected = "Jan. 2020"
|
|
event = data_model.Event(**input) # type: ignore
|
|
result = event.month_and_year
|
|
with self.subTest(msg="date is provided"):
|
|
self.assertEqual(result, expected)
|
|
|
|
def test_data_education_entry_highlight_strings(self):
|
|
input = {
|
|
"institution": "My Institution",
|
|
"area": "My Area",
|
|
"gpa": 3.5,
|
|
"highlights": [
|
|
"My Highlight 1",
|
|
"My Highlight 2",
|
|
],
|
|
}
|
|
expected = [
|
|
"GPA: 3.5",
|
|
"My Highlight 1",
|
|
"My Highlight 2",
|
|
]
|
|
education = data_model.EducationEntry(**input)
|
|
result = education.highlight_strings
|
|
with self.subTest(msg="gpa and highlights are provided"):
|
|
self.assertEqual(result, expected)
|
|
|
|
input = {
|
|
"institution": "My Institution",
|
|
"area": "My Area",
|
|
"gpa": None,
|
|
"highlights": [
|
|
"My Highlight 1",
|
|
"My Highlight 2",
|
|
],
|
|
}
|
|
expected = [
|
|
"My Highlight 1",
|
|
"My Highlight 2",
|
|
]
|
|
education = data_model.EducationEntry(**input)
|
|
result = education.highlight_strings
|
|
with self.subTest(msg="gpa is not provided, but highlights are"):
|
|
self.assertEqual(result, expected)
|
|
|
|
input = {
|
|
"institution": "My Institution",
|
|
"area": "My Area",
|
|
"gpa": 3.5,
|
|
"highlights": [],
|
|
}
|
|
expected = [
|
|
"GPA: 3.5",
|
|
]
|
|
education = data_model.EducationEntry(**input)
|
|
result = education.highlight_strings
|
|
with self.subTest(msg="gpa is provided, but highlights are not"):
|
|
self.assertEqual(result, expected)
|
|
|
|
input = {
|
|
"institution": "My Institution",
|
|
"area": "My Area",
|
|
"gpa": None,
|
|
"highlights": [],
|
|
}
|
|
expected = []
|
|
education = data_model.EducationEntry(**input)
|
|
result = education.highlight_strings
|
|
with self.subTest(msg="neither gpa nor highlights are provided"):
|
|
self.assertEqual(result, expected)
|
|
|
|
input = {
|
|
"institution": "My Institution",
|
|
"area": "My Area",
|
|
"gpa": 3.5,
|
|
"transcript_url": "https://www.example.com/",
|
|
"highlights": None,
|
|
}
|
|
expected = [
|
|
"GPA: 3.5 ([Transcript](https://www.example.com/))",
|
|
]
|
|
education = data_model.EducationEntry(**input)
|
|
result = education.highlight_strings
|
|
with self.subTest(
|
|
msg="gpa and transcript_url are provided, but highlights are not"
|
|
):
|
|
self.assertEqual(result, expected)
|
|
|
|
input = {
|
|
"institution": "My Institution",
|
|
"area": "My Area",
|
|
"gpa": "3.5",
|
|
"transcript_url": "https://www.example.com/",
|
|
"highlights": [
|
|
"My Highlight 1",
|
|
"My Highlight 2",
|
|
],
|
|
}
|
|
expected = [
|
|
"GPA: 3.5 ([Transcript](https://www.example.com/))",
|
|
"My Highlight 1",
|
|
"My Highlight 2",
|
|
]
|
|
education = data_model.EducationEntry(**input)
|
|
result = education.highlight_strings
|
|
with self.subTest(msg="gpa, transcript_url, and highlights are provided"):
|
|
self.assertEqual(result, expected)
|
|
|
|
def test_data_publication_entry_check_doi(self):
|
|
# Invalid DOI:
|
|
input = {
|
|
"title": "My Publication",
|
|
"authors": [
|
|
"Author 1",
|
|
"Author 2",
|
|
],
|
|
"doi": "invalidDoi",
|
|
"date": "2020-01-01",
|
|
}
|
|
with self.subTest(msg="invalid doi"):
|
|
with self.assertRaises(ValidationError):
|
|
data_model.PublicationEntry(**input)
|
|
|
|
# Valid DOI:
|
|
input = {
|
|
"title": "My Publication",
|
|
"authors": [
|
|
"Author 1",
|
|
"Author 2",
|
|
],
|
|
"doi": "10.1103/PhysRevB.76.054309",
|
|
"date": "2007-08-01",
|
|
}
|
|
with self.subTest(msg="valid doi"):
|
|
publication_entry = data_model.PublicationEntry(**input)
|
|
self.assertEqual(publication_entry.doi, input["doi"])
|
|
|
|
def test_data_publication_entry_doi_url(self):
|
|
input = {
|
|
"title": "My Publication",
|
|
"authors": [
|
|
"Author 1",
|
|
"Author 2",
|
|
],
|
|
"doi": "10.1103/PhysRevB.76.054309",
|
|
"date": "2007-08-01",
|
|
}
|
|
expected = "https://doi.org/10.1103/PhysRevB.76.054309"
|
|
publication = data_model.PublicationEntry(**input)
|
|
result = publication.doi_url
|
|
self.assertEqual(result, expected, msg="DOI URL is not correct.")
|
|
|
|
def test_data_connection_url(self):
|
|
# Github link:
|
|
inputs = [
|
|
{"name": "LinkedIn", "value": "username"},
|
|
{"name": "GitHub", "value": "sinaatalay"},
|
|
{"name": "Instagram", "value": "username"},
|
|
{"name": "phone", "value": "+909999999999"},
|
|
{"name": "email", "value": "example@example.com"},
|
|
{"name": "website", "value": "https://www.example.com/"},
|
|
{"name": "location", "value": "My Location"},
|
|
]
|
|
expected_results = [
|
|
"https://www.linkedin.com/in/username",
|
|
"https://www.github.com/sinaatalay",
|
|
"https://www.instagram.com/username",
|
|
"tel:+909999999999",
|
|
"mailto:example@example.com",
|
|
"https://www.example.com/",
|
|
None,
|
|
]
|
|
for input, expected in zip(inputs, expected_results):
|
|
with self.subTest(type=input["name"]):
|
|
connection = data_model.Connection(**input) # type: ignore
|
|
result = connection.url
|
|
self.assertEqual(result, expected)
|
|
|
|
def test_data_curriculum_vitae_connections(self):
|
|
input = {
|
|
"name": "John Doe",
|
|
"location": "My Location",
|
|
"phone": "+905559876543",
|
|
"email": "john@doe.com",
|
|
"website": "https://www.example.com/",
|
|
}
|
|
exptected_length = 4
|
|
cv = data_model.CurriculumVitae(**input) # type: ignore
|
|
result = len(cv.connections)
|
|
with self.subTest(msg="without social networks"):
|
|
self.assertEqual(result, exptected_length)
|
|
|
|
input = {
|
|
"name": "John Doe",
|
|
"location": "My Location",
|
|
"phone": "+905559876543",
|
|
"email": "john@doe.com",
|
|
"website": "https://www.example.com/",
|
|
"social_networks": [
|
|
{"network": "LinkedIn", "username": "username"},
|
|
{"network": "GitHub", "username": "sinaatalay"},
|
|
{"network": "Instagram", "username": "username"},
|
|
],
|
|
}
|
|
exptected_length = 7
|
|
cv = data_model.CurriculumVitae(**input)
|
|
result = len(cv.connections)
|
|
with self.subTest(msg="with social networks"):
|
|
self.assertEqual(result, exptected_length)
|
|
|
|
def test_data_curriculum_vitae_custom_sections(self):
|
|
# Valid custom sections:
|
|
input = {
|
|
"name": "John Doe",
|
|
"custom_sections": [
|
|
{
|
|
"title": "My Custom Section 1",
|
|
"entry_type": "OneLineEntry",
|
|
"entries": [
|
|
{
|
|
"name": "My Custom Entry Name",
|
|
"details": "My Custom Entry Value",
|
|
},
|
|
{
|
|
"name": "My Custom Entry Name",
|
|
"details": "My Custom Entry Value",
|
|
},
|
|
],
|
|
},
|
|
{
|
|
"title": "My Custom Section 2",
|
|
"entry_type": "NormalEntry",
|
|
"link_text": "My Custom Link Text",
|
|
"entries": [
|
|
{"name": "My Custom Entry Name"},
|
|
{"name": "My Custom Entry Name"},
|
|
],
|
|
},
|
|
{
|
|
"title": "My Custom Section 3",
|
|
"entry_type": "ExperienceEntry",
|
|
"entries": [
|
|
{
|
|
"company": "My Custom Entry Name",
|
|
"position": "My Custom Entry Value",
|
|
},
|
|
{
|
|
"company": "My Custom Entry Name",
|
|
"position": "My Custom Entry Value",
|
|
},
|
|
],
|
|
},
|
|
{
|
|
"title": "My Custom Section 4",
|
|
"entry_type": "EducationEntry",
|
|
"entries": [
|
|
{
|
|
"institution": "My Custom Entry Name",
|
|
"area": "My Custom Entry Value",
|
|
},
|
|
{
|
|
"institution": "My Custom Entry Name",
|
|
"area": "My Custom Entry Value",
|
|
},
|
|
],
|
|
},
|
|
{
|
|
"title": "My Custom Section 5",
|
|
"entry_type": "PublicationEntry",
|
|
"entries": [
|
|
{
|
|
"title": "My Publication",
|
|
"authors": [
|
|
"Author 1",
|
|
"Author 2",
|
|
],
|
|
"doi": "10.1103/PhysRevB.76.054309",
|
|
"date": "2020-01-01",
|
|
},
|
|
{
|
|
"title": "My Publication",
|
|
"authors": [
|
|
"Author 1",
|
|
"Author 2",
|
|
],
|
|
"doi": "10.1103/PhysRevB.76.054309",
|
|
"date": "2020-01-01",
|
|
},
|
|
],
|
|
},
|
|
],
|
|
}
|
|
|
|
with self.subTest(msg="valid custom sections"):
|
|
cv = data_model.CurriculumVitae(**input)
|
|
self.assertEqual(len(cv.sections), 5)
|
|
|
|
with self.subTest(msg="check link_text"):
|
|
cv = data_model.CurriculumVitae(**input)
|
|
self.assertEqual(cv.sections[1].link_text, "My Custom Link Text")
|
|
|
|
# Invalid section_order:
|
|
input["section_order"] = ["invalid section"]
|
|
with self.subTest(msg="invalid section_order"):
|
|
data = data_model.CurriculumVitae(**input)
|
|
with self.assertRaises(ValueError):
|
|
data.sections
|
|
del input["section_order"]
|
|
|
|
# Custom sections with duplicate titles:
|
|
input["custom_sections"][1]["title"] = "My Custom Section 1"
|
|
with self.subTest(msg="custom sections with duplicate titles"):
|
|
with self.assertRaises(ValidationError):
|
|
data_model.CurriculumVitae(**input)
|
|
|
|
def test_if_json_schema_is_the_latest(self):
|
|
tests_directory = os.path.dirname(__file__)
|
|
path_to_generated_schema = data_model.generate_json_schema(tests_directory)
|
|
|
|
# Read the generated JSON schema:
|
|
with open(path_to_generated_schema, "r") as f:
|
|
generated_json_schema = json.load(f)
|
|
|
|
# Remove the generated JSON schema:
|
|
os.remove(path_to_generated_schema)
|
|
|
|
# Read the repository's current JSON schema:
|
|
path_to_schema = os.path.join(os.path.dirname(tests_directory), "schema.json")
|
|
with open(path_to_schema, "r") as f:
|
|
current_json_schema = json.load(f)
|
|
|
|
# Compare the two JSON schemas:
|
|
self.assertEqual(generated_json_schema, current_json_schema)
|