mirror of https://github.com/eyhc1/rendercv.git
143 lines
3.4 KiB
Python
143 lines
3.4 KiB
Python
import pathlib
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import jinja2
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import pytest
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from rendercv import data_models as dm
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import rendercv.renderer as r
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@pytest.fixture
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def publication_entry() -> dict[str, str | list[str]]:
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return {
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"title": "My Title",
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"authors": ["John Doe", "Jane Doe"],
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"doi": "10.1109/TASC.2023.3340648",
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"date": "2023-12-08",
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}
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@pytest.fixture
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def experience_entry() -> dict[str, str]:
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return {
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"company": "CERN",
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"position": "Researcher",
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}
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@pytest.fixture
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def education_entry() -> dict[str, str]:
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return {
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"institution": "Boğaziçi University",
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"area": "Mechanical Engineering",
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"degree": "BS",
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}
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@pytest.fixture
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def normal_entry() -> dict[str, str]:
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return {
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"name": "My Entry",
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}
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@pytest.fixture
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def one_line_entry() -> dict[str, str]:
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return {
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"name": "My One Line Entry",
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"details": "My Details and some math $a=6^4 \\frac{3}{5}$",
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}
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@pytest.fixture
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def text_entry() -> str:
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return "My Text Entry"
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@pytest.fixture
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def rendercv_data_model() -> dm.RenderCVDataModel:
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return dm.get_a_sample_data_model()
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@pytest.fixture
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def rendercv_empty_curriculum_vitae_data_model() -> dm.CurriculumVitae:
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return dm.CurriculumVitae()
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@pytest.fixture
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def rendercv_filled_curriculum_vitae_data_model(
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text_entry,
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publication_entry,
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experience_entry,
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education_entry,
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normal_entry,
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one_line_entry,
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) -> dm.CurriculumVitae:
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return dm.CurriculumVitae(
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name="John Doe",
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label="Mechanical Engineer",
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location="Istanbul, Turkey",
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email="johndoe@example.com",
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phone="+905419999999", # type: ignore
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website="https://example.com", # type: ignore
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social_networks=[
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dm.SocialNetwork(network="LinkedIn", username="johndoe"),
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dm.SocialNetwork(network="GitHub", username="johndoe"),
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dm.SocialNetwork(network="Instagram", username="johndoe"),
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dm.SocialNetwork(network="Orcid", username="0000-0000-0000-0000"),
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dm.SocialNetwork(network="Mastodon", username="@johndoe@example"),
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dm.SocialNetwork(network="Twitter", username="johndoe"),
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],
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sections={
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"section1": [
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text_entry,
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text_entry,
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],
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"section2": [
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publication_entry,
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publication_entry,
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],
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"section3": [
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experience_entry,
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experience_entry,
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],
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"section4": [
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education_entry,
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education_entry,
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],
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"section5": [
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normal_entry,
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normal_entry,
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],
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"section6": [
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one_line_entry,
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one_line_entry,
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],
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},
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)
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@pytest.fixture
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def jinja2_environment() -> jinja2.Environment:
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return r.setup_jinja2_environment()
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@pytest.fixture
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def tests_directory_path() -> pathlib.Path:
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return pathlib.Path(__file__).parent
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@pytest.fixture
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def root_directory_path(tests_directory_path) -> pathlib.Path:
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return tests_directory_path.parent
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@pytest.fixture
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def auxiliary_files_directory_path(tests_directory_path) -> pathlib.Path:
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return tests_directory_path / "auxiliary_files"
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@pytest.fixture
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def input_file_path(auxiliary_files_directory_path) -> pathlib.Path:
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return auxiliary_files_directory_path / "John_Doe_CV.yaml"
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