added local lorem file and removed dependency (ArgLab#280)

Author: bradley-erickson

VERSION

@@ -1 +1 @@
-0.1.0+2026.03.06T16.07.48.997Z.0bfff3a0.berickson.20260303.copy.paste.reducer
+0.1.0+2026.03.13T15.40.37.391Z.377c68ef.berickson.20260313.local.loremipsum

learning_observer/VERSION

@@ -1 +1 @@
-0.1.0+2026.02.27T21.25.37.849Z.3207a114.berickson.20260220.dami.portfolio.pr
+0.1.0+2026.03.13T15.40.37.391Z.377c68ef.berickson.20260313.local.loremipsum

learning_observer/learning_observer/lorem.py

@@ -0,0 +1,33 @@
+"""Simple local lorem ipsum text generation utilities."""
+
+from itertools import cycle, islice
+
+_LOREM_SENTENCES = [
+    "Lorem ipsum dolor sit amet, consectetur adipiscing elit.",
+    "Sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.",
+    "Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.",
+    "Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.",
+    "Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.",
+    "Integer nec odio praesent libero sed cursus ante dapibus diam.",
+    "Nam dui ligula fringilla a euismod sodales sollicitudin vel wisi.",
+    "Aenean fermentum risus id tortor fusce tellus odio dapibus id fermentum quis suscipit id erat.",
+    "Etiam posuere lacus quis dolor pellentesque egestas.",
+    "Curabitur vitae diam non enim vestibulum interdum.",
+]
+
+
+def _paragraph(sentence_count=5, offset=0):
+    sentences = islice(cycle(_LOREM_SENTENCES), offset, offset + sentence_count)
+    return " ".join(sentences)
+
+
+def get_paragraphs(paragraph_count, sentence_count=5):
+    """Return a list of lorem ipsum paragraphs.
+
+    Args:
+        paragraph_count (int): Number of paragraphs to generate.
+        sentence_count (int): Number of sentences per paragraph.
+    """
+    paragraph_count = max(0, int(paragraph_count))
+    sentence_count = max(1, int(sentence_count))
+    return [_paragraph(sentence_count=sentence_count, offset=i) for i in range(paragraph_count)]

learning_observer/learning_observer/synthetic_student_data.py

@@ -1,28 +1,24 @@
 '''
-Note that current loremipsum in `pip` is not Python 3
-compatible. If you are getting b'' in your text, the
-patch is at:
-
-`https://github.com/monkeython/loremipsum/issues/10`
+Synthetic student payload helpers used for mock-up UX data.
 '''
 
 import random
 
 import numpy
 import numpy.random
 
-import loremipsum
 import names
 
 import learning_observer.util as util
+from learning_observer.lorem import get_paragraphs
 
 
 def synthetic_student_data(student_id):
     '''
     Create fake student data for mock-up UX for one student
     '''
     name = names.get_first_name()
-    essay = "\n".join(loremipsum.get_paragraphs(5))
+    essay = "\n".join(get_paragraphs(5))
     return {
         'id': student_id,
         'name': name,

modules/lo_gpt/lo_gpt/gpt.py

@@ -14,11 +14,11 @@
 import aiohttp
 import asyncio
 import json
-import loremipsum
 import os
 import random
 
 from learning_observer.log_event import debug_log
+from learning_observer.lorem import get_paragraphs
 import learning_observer.prestartup
 import learning_observer.settings
 
@@ -151,7 +151,7 @@ def __init__(self, **kwargs):
     async def chat_completion(self, prompt, system_prompt):
         async with LLM_SEMAPHOR['stub']:
             await asyncio.sleep(random.randint(5, 15))
-            return "\n".join(loremipsum.get_paragraphs(1))
+            return "\n".join(get_paragraphs(1))
 
 
 GPT_RESPONDERS = {

modules/writing_observer/VERSION

@@ -1 +1 @@
-0.1.0+2026.03.06T16.07.48.997Z.0bfff3a0.berickson.20260303.copy.paste.reducer
+0.1.0+2026.03.13T15.40.37.391Z.377c68ef.berickson.20260313.local.loremipsum

modules/writing_observer/writing_observer/sample_essays.py

@@ -8,9 +8,10 @@
 import os.path
 import random
 
-import loremipsum
 import wikipedia
 
+from learning_observer.lorem import get_paragraphs
+
 
 TextTypes = Enum('TextTypes', [
     "SHORT_STORY", "ARGUMENTATIVE", "LOREM", "WIKI_SCIENCE", "WIKI_HISTORY"
@@ -105,7 +106,7 @@ def lorem(paragraphs=5):
     '''
     Generate lorem ipsum test text.
     '''
-    return "\n\n".join(loremipsum.get_paragraphs(paragraphs))
+    return "\n\n".join(get_paragraphs(paragraphs))
 
 
 CACHE_PATH = os.path.join(os.path.dirname(__file__), "data")

requirements.txt

@@ -12,7 +12,6 @@ dash_renderjson
 docopt
 dash-bootstrap-components
 tsvx @ git+https://github.com/pmitros/tsvx.git@09bf7f33107f66413d929075a8b54c36ca581dae#egg=tsvx
-loremipsum @ git+https://github.com/testlabauto/loremipsum.git@b7bd71a6651207ef88993045cd755f20747f2a1e#egg=loremipsum
 ipython
 ipykernel
 jsonschema

scripts/stream_writing.py

@@ -31,12 +31,12 @@
 import asyncio
 import docopt
 import json
-import loremipsum
 import names
 import random
 import sys
 import time
 
+from learning_observer.lorem import get_paragraphs
 
 ARGS = docopt.docopt(__doc__)
 print(ARGS)
@@ -97,15 +97,16 @@ def argument_list(argument, default):
 # TODO what is `source_files` supposed to be?
 # when running this script for the workshop, we should either
 #  1) move gpt3 texts out of writing observer (dependency hell) OR
-#  2) avoid using `--gpt3` parameter and use loremipsum instead
+#  2) avoid using `--gpt3` parameter and use local lorem generator instead
 source_files = None
 
 if ARGS["--gpt3"] is not None:
     import writing_observer.sample_essays
     TEXT = writing_observer.sample_essays.GPT3_TEXTS[ARGS["--gpt3"]]
     STREAMS = len(TEXT)
 elif source_files is None:
-    TEXT = ["\n".join(loremipsum.get_paragraphs(int(ARGS.get("--text-length", 5)))) for i in range(STREAMS)]
+    TEXT = ["\n".join(get_paragraphs(int(ARGS.get("--text-length", 5)))) for i in range(STREAMS)]
+    print(TEXT)
 else:
     TEXT = [open(filename).read() for filename in source_files]