Fix actor, director tests using freeze time by ignoring transformers package

transformers package was causing freeze time to fail during setup
This commit is contained in:
Debanjum Singh Solanky 2024-02-05 20:02:54 +05:30
parent c40f642afa
commit 0d949140f4
4 changed files with 15 additions and 13 deletions

View file

@ -41,7 +41,7 @@ freezegun.configure(extend_ignore_list=["transformers"])
# ----------------------------------------------------------------------------------------------------
@pytest.mark.xfail(reason="Search actor isn't very date aware nor capable of formatting")
@pytest.mark.chatquality
@freeze_time("1984-04-02")
@freeze_time("1984-04-02", ignore=["transformers"])
def test_extract_question_with_date_filter_from_relative_day(loaded_model):
# Act
response = extract_questions_offline("Where did I go for dinner yesterday?", loaded_model=loaded_model)
@ -61,7 +61,7 @@ def test_extract_question_with_date_filter_from_relative_day(loaded_model):
# ----------------------------------------------------------------------------------------------------
@pytest.mark.xfail(reason="Search actor still isn't very date aware nor capable of formatting")
@pytest.mark.chatquality
@freeze_time("1984-04-02")
@freeze_time("1984-04-02", ignore=["transformers"])
def test_extract_question_with_date_filter_from_relative_month(loaded_model):
# Act
response = extract_questions_offline("Which countries did I visit last month?", loaded_model=loaded_model)
@ -83,7 +83,7 @@ def test_extract_question_with_date_filter_from_relative_month(loaded_model):
# ----------------------------------------------------------------------------------------------------
@pytest.mark.xfail(reason="Chat actor still isn't very date aware nor capable of formatting")
@pytest.mark.chatquality
@freeze_time("1984-04-02")
@freeze_time("1984-04-02", ignore=["transformers"])
def test_extract_question_with_date_filter_from_relative_year():
# Act
response = extract_questions_offline("Which countries have I visited this year?")
@ -102,7 +102,7 @@ def test_extract_question_with_date_filter_from_relative_year():
# ----------------------------------------------------------------------------------------------------
@pytest.mark.chatquality
@freeze_time("1984-04-02")
@freeze_time("1984-04-02", ignore=["transformers"])
def test_extract_question_includes_root_question(loaded_model):
# Act
response = extract_questions_offline("Which countries have I visited this year?", loaded_model=loaded_model)

View file

@ -301,11 +301,14 @@ def test_answer_not_known_using_notes_command(client_offline_chat, default_user2
@pytest.mark.xfail(AssertionError, reason="Chat director not capable of answering time aware questions yet")
@pytest.mark.chatquality
@pytest.mark.django_db(transaction=True)
@freeze_time("2023-04-01")
@freeze_time("2023-04-01", ignore=["transformers"])
def test_answer_requires_current_date_awareness(client_offline_chat):
"Chat actor should be able to answer questions relative to current date using provided notes"
# Arrange
query = urllib.parse.quote("Where did I have lunch today?")
# Act
response = client_offline_chat.get(f'/api/chat?q="Where did I have lunch today?"&stream=true')
response = client_offline_chat.get(f"/api/chat?q={query}&stream=true")
response_message = response.content.decode("utf-8")
# Assert
@ -320,7 +323,7 @@ def test_answer_requires_current_date_awareness(client_offline_chat):
@pytest.mark.xfail(AssertionError, reason="Chat director not capable of answering this question yet")
@pytest.mark.chatquality
@pytest.mark.django_db(transaction=True)
@freeze_time("2023-04-01")
@freeze_time("2023-04-01", ignore=["transformers"])
def test_answer_requires_date_aware_aggregation_across_provided_notes(client_offline_chat):
"Chat director should be able to answer questions that require date aware aggregation across multiple notes"
# Act

View file

@ -22,7 +22,7 @@ freezegun.configure(extend_ignore_list=["transformers"])
# Test
# ----------------------------------------------------------------------------------------------------
@pytest.mark.chatquality
@freeze_time("1984-04-02")
@freeze_time("1984-04-02", ignore=["transformers"])
def test_extract_question_with_date_filter_from_relative_day():
# Act
response = extract_questions("Where did I go for dinner yesterday?")
@ -41,7 +41,7 @@ def test_extract_question_with_date_filter_from_relative_day():
# ----------------------------------------------------------------------------------------------------
@pytest.mark.chatquality
@freeze_time("1984-04-02")
@freeze_time("1984-04-02", ignore=["transformers"])
def test_extract_question_with_date_filter_from_relative_month():
# Act
response = extract_questions("Which countries did I visit last month?")
@ -56,7 +56,7 @@ def test_extract_question_with_date_filter_from_relative_month():
# ----------------------------------------------------------------------------------------------------
@pytest.mark.chatquality
@freeze_time("1984-04-02")
@freeze_time("1984-04-02", ignore=["transformers"])
def test_extract_question_with_date_filter_from_relative_year():
# Act
response = extract_questions("Which countries have I visited this year?")

View file

@ -277,7 +277,7 @@ def test_answer_not_known_using_notes_command(chat_client_no_background, default
@pytest.mark.xfail(AssertionError, reason="Chat director not capable of answering time aware questions yet")
@pytest.mark.django_db(transaction=True)
@pytest.mark.chatquality
@freeze_time("2023-04-01")
@freeze_time("2023-04-01", ignore=["transformers"])
def test_answer_requires_current_date_awareness(chat_client):
"Chat actor should be able to answer questions relative to current date using provided notes"
# Act
@ -295,11 +295,10 @@ def test_answer_requires_current_date_awareness(chat_client):
# ----------------------------------------------------------------------------------------------------
@pytest.mark.django_db(transaction=True)
@pytest.mark.chatquality
@freeze_time("2023-04-01")
@freeze_time("2023-04-01", ignore=["transformers"])
def test_answer_requires_date_aware_aggregation_across_provided_notes(chat_client):
"Chat director should be able to answer questions that require date aware aggregation across multiple notes"
# Act
response = chat_client.get(f'/api/chat?q="How much did I spend on dining this year?"&stream=true')
response_message = response.content.decode("utf-8")