fixed how to factory generate dates so they are relative to a fixed d…

…ate 2020, 1, 1 instead of 'today'

network-api/networkapi/news/factory.py

@@ -1,4 +1,4 @@
-from datetime import timezone
+from datetime import datetime, timezone
 from random import shuffle
 
 from django.conf import settings
@@ -43,23 +43,17 @@ class Params:
             else Faker("future_datetime", end_date="+30d", tzinfo=timezone.utc)
         )
         expired = Trait(
-            expires=Faker("date_time", tzinfo=timezone.utc)
-            if RANDOM_SEED and not TESTING
-            else Faker("past_datetime", start_date="-30d", tzinfo=timezone.utc)
+            Faker("past_datetime", start_date=datetime(2020, 1, 1), tzinfo=timezone.utc)
         )
         video = Trait(is_video=True)
 
     headline = LazyAttribute(lambda o: o.headline_sentence.rstrip("."))
     outlet = Faker("company")
-    date = Faker("date") if RANDOM_SEED and not TESTING else Faker("past_date", start_date="-30d")
+    date = Faker("past_date", start_date=datetime(2020, 1, 1), tzinfo=timezone.utc)
     link = Faker("url")
     excerpt = Faker("paragraph", nb_sentences=3, variable_nb_sentences=True)
     author = Faker("name")
-    publish_after = (
-        Faker("date_time", tzinfo=timezone.utc)
-        if RANDOM_SEED and not TESTING
-        else Faker("past_datetime", start_date="-30d", tzinfo=timezone.utc)
-    )
+    publish_after = Faker("past_datetime", start_date=datetime(2020, 1, 1), tzinfo=timezone.utc)
 
     # LazyAttribute helper value
     headline_sentence = Faker("sentence", nb_words=4)

network-api/networkapi/wagtailpages/factory/blog.py

@@ -1,4 +1,4 @@
-from datetime import timezone
+from datetime import datetime, timezone
 from random import choice
 
 from django.conf import settings
@@ -88,10 +88,7 @@ class Meta:
 
     title = LazyAttribute(lambda o: o.title_text.rstrip("."))
     body = Faker("streamfield", fields=blog_body_streamfield_fields)
-    first_published_at = (
-        Faker("date_time", tzinfo=timezone.utc)
-        if RANDOM_SEED and not TESTING
-        else Faker("past_datetime", start_date="-30d", tzinfo=timezone.utc)
+    first_published_at = Faker("past_datetime", start_date=datetime(2020, 1, 1), tzinfo=timezone.utc)
     )
     search_description = Faker("paragraph", nb_sentences=5, variable_nb_sentences=True)
     live = True

network-api/networkapi/wagtailpages/factory/buyersguide.py

@@ -153,8 +153,8 @@ class Meta:
     blurb = Faker("sentence")
     product_url = Faker("url")
     worst_case = Faker("sentence")
-    first_published_at = Faker("past_datetime", start_date="-2d", tzinfo=timezone.utc)
-    last_published_at = Faker("past_datetime", start_date="-1d", tzinfo=timezone.utc)
+    first_published_at = Faker("past_datetime", start_date=datetime(2020, 1, 1), tzinfo=timezone.utc)
+    last_published_at = Faker("date_time_between", start_date=first_published_at, end_date="+6m", tzinfo=timezone.utc)
     evaluation = SubFactory("networkapi.wagtailpages.factory.buyersguide.ProductPageEvaluationFactory")
     locale = LazyFunction(lambda: Locale.get_default())
 
@@ -246,7 +246,7 @@ class Meta:
 
     title = Faker("sentence")
     hero_image = SubFactory(ImageFactory)
-    first_published_at = Faker("past_datetime", start_date="-30d", tzinfo=timezone.utc)
+    first_published_at = Faker("past_datetime", start_date=datetime(2020, 1, 1), tzinfo=timezone.utc)
     search_image = SubFactory(ImageFactory)
     search_description = Faker("paragraph", nb_sentences=5, variable_nb_sentences=True)
     body = Faker(
@@ -271,7 +271,7 @@ class Meta:
     header = Faker("sentence")
     title = Faker("sentence")
     cta = SubFactory(PetitionFactory)
-    first_published_at = Faker("past_datetime", start_date="-30d", tzinfo=timezone.utc)
+    first_published_at = Faker("past_datetime", start_date=datetime(2020, 1, 1), tzinfo=timezone.utc)
     narrowed_page_content = Faker("boolean", chance_of_getting_true=50)
     body = Faker(
         provider="streamfield",
@@ -292,7 +292,7 @@ class Meta:
 
     year = Faker("random_element", elements=(("2023", "2023")))  # Add extra years here once available
     title = LazyAttribute(lambda o: f"Annual Consumer Creepometer {o.year}")
-    first_published_at = Faker("past_datetime", start_date="-30d", tzinfo=timezone.utc)
+    first_published_at = Faker("past_datetime", start_date=datetime(2020, 1, 1), tzinfo=timezone.utc)
     search_image = SubFactory(ImageFactory)
     search_description = Faker("paragraph", nb_sentences=5, variable_nb_sentences=True)
 

network-api/networkapi/wagtailpages/factory/publication.py

@@ -1,4 +1,4 @@
-from datetime import timezone
+from datetime import datetime, timezone
 from random import randint, random, shuffle
 
 from django.conf import settings
@@ -27,7 +27,7 @@ class PublicationPageFactory(PageFactory):
     title = Faker("text", max_nb_chars=120)
     subtitle = Faker("text", max_nb_chars=250)
     secondary_subtitle = Faker("text", max_nb_chars=250)
-    publication_date = Faker("date_object")
+    first_published_at = Faker("past_datetime", start_date=datetime(2020, 1, 1), tzinfo=timezone.utc)
     hero_image = SubFactory(ImageFactory)
     publication_file = SubFactory(DocumentFactory)
     intro_notes = Faker("sentence")
@@ -53,10 +53,7 @@ class Meta:
     publication_date = Faker("date_object")
     article_file = SubFactory(DocumentFactory)
     body = Faker("streamfield", fields=article_body_streamfield_fields)
-    first_published_at = (
-        Faker("date_time", tzinfo=timezone.utc)
-        if RANDOM_SEED and not TESTING
-        else Faker("past_datetime", start_date="-30d", tzinfo=timezone.utc)
+    first_published_at = Faker("past_datetime", start_date=datetime(2020, 1, 1), tzinfo=timezone.utc)
     )
     search_description = Faker("paragraph", nb_sentences=5, variable_nb_sentences=True)
     live = True