diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 5a2f2e6520..0246d2a0ee 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -36,35 +36,24 @@ jobs: - name: Apt install run: cat Aptfile | sudo xargs apt-get install - - name: Install poetry - uses: snok/install-poetry@76e04a911780d5b312d89783f7b1cd627778900a # v1 + - name: Install uv + uses: astral-sh/setup-uv@v7 with: - version: 2.1.3 - virtualenvs-create: true - virtualenvs-in-project: true + enable-cache: true + + - name: Install Python + run: uv python install 3.12 - - uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6 - with: - python-version-file: "pyproject.toml" - cache: "poetry" - - name: Install poetry with pip - run: python -m pip install poetry - - name: Validate lockfile - run: poetry check --lock - - name: Set Poetry Python - run: poetry env use python3.12 - name: Install dependencies - run: | - source $(poetry env info --path)/bin/activate - poetry install --no-interaction + run: uv sync --locked - name: Create test local state run: ./scripts/test/stub-data.sh - name: Tests run: | - poetry run ./manage.py collectstatic --noinput --clear - poetry run ./manage.py check --fail-level WARNING + uv run ./manage.py collectstatic --noinput --clear + uv run ./manage.py check --fail-level WARNING export MEDIA_ROOT="$(mktemp -d)" ./scripts/test/python_tests.sh env: diff --git a/AGENTS.md b/AGENTS.md index 3c4bc670f8..9d932828b9 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -44,17 +44,17 @@ Run inside Docker containers with `docker compose`: ```bash # Run all tests (parallel) -docker compose run --rm web poetry run pytest -n logical +docker compose run --rm web uv run pytest -n logical # Run specific test file -docker compose run --rm web poetry run pytest learning_resources/models_test.py +docker compose run --rm web uv run pytest learning_resources/models_test.py # Run specific test -docker compose run --rm web poetry run pytest learning_resources/models_test.py::test_name -v +docker compose run --rm web uv run pytest learning_resources/models_test.py::test_name -v # Lint and format with ruff -docker compose run --rm web poetry run ruff format . -docker compose run --rm web poetry run ruff check . --fix +docker compose run --rm web uv run ruff format . +docker compose run --rm web uv run ruff check . --fix # Run Django management commands docker compose run --rm web python manage.py diff --git a/Dockerfile b/Dockerfile index 170f7eea65..adb276a08e 100644 --- a/Dockerfile +++ b/Dockerfile @@ -25,25 +25,17 @@ RUN mkdir /src && \ adduser --disabled-password --gecos "" mitodl && \ mkdir /var/media && chown -R mitodl:mitodl /var/media -FROM system AS poetry +FROM system AS uv -## Set some poetry and python config +## Set some python config ENV \ PYTHONUNBUFFERED=1 \ PYTHONDONTWRITEBYTECODE=1 \ - PIP_DISABLE_PIP_VERSION_CHECK=on \ - POETRY_NO_INTERACTION=1 \ - POETRY_VERSION=2.1.3 \ - POETRY_VIRTUALENVS_CREATE=true \ - POETRY_CACHE_DIR='/tmp/cache/poetry' \ - POETRY_HOME='/home/mitodl/.local' \ - VIRTUAL_ENV='/opt/venv' -ENV PATH="$VIRTUAL_ENV/bin:$POETRY_HOME/bin:$PATH" - -# Install poetry -RUN pip install --no-cache-dir "poetry==$POETRY_VERSION" - + UV_PROJECT_ENVIRONMENT='/opt/venv' +ENV PATH="/opt/venv/bin:$PATH" +# Install uv +COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /usr/local/bin/ # Install Chromium (commented out lines illustrate the syntax for getting specific chromium versions) RUN echo "deb http://deb.debian.org/debian/ sid main" >> /etc/apt/sources.list \ @@ -61,22 +53,14 @@ RUN apt-get update -qqy \ && apt-get -qqy install chromium-driver \ && rm -rf /var/lib/apt/lists/* /var/cache/apt/* COPY pyproject.toml /src -COPY poetry.lock /src -RUN chown -R mitodl:mitodl /src && \ - mkdir ${VIRTUAL_ENV} && chown -R mitodl:mitodl ${VIRTUAL_ENV} +COPY uv.lock /src +RUN mkdir -p /opt/venv && chown -R mitodl:mitodl /src /opt/venv -## Install poetry itself, and pre-create a venv with predictable name USER mitodl -RUN curl -sSL https://install.python-poetry.org \ - | \ - POETRY_VERSION=${POETRY_VERSION} \ - POETRY_HOME=${POETRY_HOME} \ - python3 -q WORKDIR /src -RUN python3 -m venv $VIRTUAL_ENV -RUN poetry install && rm -rf /tmp/cache +RUN uv sync --frozen --no-install-project -FROM poetry AS code +FROM uv AS code # Add project USER root diff --git a/Dockerfile-nb b/Dockerfile-nb index 1ac58d43b0..a65b1440f0 100644 --- a/Dockerfile-nb +++ b/Dockerfile-nb @@ -4,7 +4,7 @@ USER root WORKDIR /tmp -RUN pip install --force-reinstall jupyter +RUN uv pip install --force-reinstall jupyter USER mitodl WORKDIR /src diff --git a/RELEASE.rst b/RELEASE.rst index 200c5622d7..309c0fb4d1 100644 --- a/RELEASE.rst +++ b/RELEASE.rst @@ -1,6 +1,13 @@ Release Notes ============= +Version 0.55.7 +-------------- + +- fix: Add back langchain-litellm dependency +- chore: migrate from poetry/pip to uv for dependency management (#2975) +- Fix contextwindow exceeded error when summarizing large transcripts (#2960) + Version 0.55.6 (Released February 26, 2026) -------------- diff --git a/fixtures/common.py b/fixtures/common.py index 8abcb83ae8..cc28765a80 100644 --- a/fixtures/common.py +++ b/fixtures/common.py @@ -42,6 +42,8 @@ def warnings_as_errors(): warnings.filterwarnings("ignore", category=InsecureRequestWarning) warnings.filterwarnings("ignore", category=PytestMockWarning) warnings.filterwarnings("ignore", category=ResourceWarning) + # PyJWT 2.11+ warns when HMAC key is < 32 bytes (tests use short keys) + warnings.filterwarnings("ignore", module="jwt.*", category=UserWarning) # Ignore deprecation warnings in third party libraries warnings.filterwarnings( "ignore", diff --git a/learning_resources/conftest.py b/learning_resources/conftest.py index df08e2d8b3..349cbfbe64 100644 --- a/learning_resources/conftest.py +++ b/learning_resources/conftest.py @@ -158,8 +158,12 @@ def setup_s3_ocw(settings): @pytest.fixture -def summarizer_configuration(): +def summarizer_configuration(mocker): """Create a summarizer configuration""" + mocker.patch( + "learning_resources.content_summarizer.truncate_to_tokens", autospec=True + ) + mocker.patch("learning_resources.content_summarizer.get_max_tokens", autospec=True) return ContentSummarizerConfigurationFactory.create() diff --git a/learning_resources/content_summarizer.py b/learning_resources/content_summarizer.py index 582f3be8ac..7d9fdd49be 100644 --- a/learning_resources/content_summarizer.py +++ b/learning_resources/content_summarizer.py @@ -1,10 +1,12 @@ import logging from typing import Annotated +import litellm from django.conf import settings from django.db import transaction from django.db.models import Q -from langchain_community.chat_models import ChatLiteLLM +from langchain_litellm import ChatLiteLLM +from litellm import get_max_tokens from typing_extensions import TypedDict from learning_resources.exceptions import ( @@ -15,9 +17,13 @@ ContentFile, ContentSummarizerConfiguration, ) +from learning_resources.utils import truncate_to_tokens logger = logging.getLogger(__name__) +# drop unsupported model params +litellm.drop_params = True + class Flashcard(TypedDict): """Flashcard structure model""" @@ -232,10 +238,17 @@ def _generate_summary(self, content: str, llm_model: str) -> str: - str: Generated summary """ try: - llm = self._get_llm(model=llm_model, temperature=0.3, max_tokens=1000) - response = llm.invoke( - f"Summarize the key points from this video. Transcript:{content}" + max_output_tokens = 1000 + max_input_tokens = get_max_tokens(llm_model) + summarizer_message = truncate_to_tokens( + f"Summarize the key points from this video. Transcript:{content}", + max_input_tokens - max_output_tokens, + llm_model, + ) + llm = self._get_llm( + model=llm_model, temperature=0.3, max_tokens=max_output_tokens ) + response = llm.invoke(summarizer_message) logger.debug("Generating Summary using model: %s", llm) generated_summary = response.content logger.debug("Generated summary: %s", generated_summary) @@ -263,13 +276,23 @@ def _generate_flashcards( - list[dict[str, str]]: List of flashcards """ try: - llm = self._get_llm(model=llm_model, temperature=0.3, max_tokens=2048) + max_output_tokens = 2048 + max_input_tokens = get_max_tokens(llm_model) + llm = self._get_llm( + model=llm_model, temperature=1, max_tokens=max_output_tokens + ) logger.debug("Generating flashcards using model: %s", llm) structured_llm = llm.with_structured_output(FlashcardsResponse) - response = structured_llm.invoke( - settings.CONTENT_SUMMARIZER_FLASHCARD_PROMPT.format(content=content) + flashcard_prompt = settings.CONTENT_SUMMARIZER_FLASHCARD_PROMPT.format( + content=content + ) + flashcard_prompt = truncate_to_tokens( + flashcard_prompt, + max_input_tokens - max_output_tokens, + llm_model, ) + response = structured_llm.invoke(flashcard_prompt) if response: generated_flashcards = response.get("flashcards", []) logger.debug("Generated flashcards: %s", generated_flashcards) diff --git a/learning_resources/utils.py b/learning_resources/utils.py index 232bf42cd8..827ce19c10 100644 --- a/learning_resources/utils.py +++ b/learning_resources/utils.py @@ -9,6 +9,7 @@ import html2text import rapidjson import requests +import tiktoken import yaml from botocore.exceptions import ClientError from django.conf import settings @@ -671,3 +672,14 @@ def json_to_markdown(obj, indent=0): else: markdown += f"{indent_str}{obj}\n\n" return markdown + + +def truncate_to_tokens(text: str, max_tokens: int, model: str = "gpt-4o") -> str: + """ + Truncate text to a maximum number of tokens for a given model. + """ + encoding = tiktoken.encoding_for_model(model) + tokens = encoding.encode(text) + if len(tokens) <= max_tokens: + return text + return encoding.decode(tokens[:max_tokens]) diff --git a/learning_resources/utils_test.py b/learning_resources/utils_test.py index f420fb38b4..4ecea0eeb2 100644 --- a/learning_resources/utils_test.py +++ b/learning_resources/utils_test.py @@ -3,11 +3,13 @@ """ import json +import random from pathlib import Path import markdown import pytest import yaml +from faker import Faker from data_fixtures import utils as data_utils from learning_resources import utils @@ -37,6 +39,7 @@ from learning_resources.utils import ( add_parent_topics_to_learning_resource, transfer_list_resources, + truncate_to_tokens, ) pytestmark = pytest.mark.django_db @@ -619,3 +622,21 @@ def test_json_to_markdown(courses_data): # strip double newlines for compact fixture content = rendered_markdown.replace("\n\n", "\n") assert markdown.markdown(expected_markdown_response) == markdown.markdown(content) + + +def test_truncate_to_tokens_util(mocker): + class MockEncoding: + def encode(self, text): + return list(text) + + def decode(self, tokens): + return "".join(tokens) + + mock_encoding = MockEncoding() + mocker.patch("tiktoken.encoding_for_model", return_value=mock_encoding) + + model = "gpt-4o" + content = Faker().text() * 100 + max_tokens = random.randint(1, 50) # noqa: S311 + truncated = truncate_to_tokens(content, max_tokens, model) + assert len(mock_encoding.encode(truncated)) <= max_tokens diff --git a/main/settings.py b/main/settings.py index fb9d59c7a3..076a798d67 100644 --- a/main/settings.py +++ b/main/settings.py @@ -34,7 +34,7 @@ from main.settings_pluggy import * # noqa: F403 from openapi.settings_spectacular import open_spectacular_settings -VERSION = "0.55.6" +VERSION = "0.55.7" log = logging.getLogger() diff --git a/poetry.lock b/poetry.lock deleted file mode 100644 index 3fe2e86ed0..0000000000 --- a/poetry.lock +++ /dev/null @@ -1,9698 +0,0 @@ -# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand. - 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